216 results on '"Thomas, A. L."'
Search Results
2. Medicine and foreign service.
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THOMAS AL
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- Humans, International Cooperation, Medicine
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- 1962
3. Contribution of rare variant associations to neurodegenerative disease presentation
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Allison A. Dilliott, Abdalla Abdelhady, Kelly M. Sunderland, Sali M. K. Farhan, Agessandro Abrahao, Malcolm A. Binns, Sandra E. Black, Michael Borrie, Leanne K. Casaubon, Dar Dowlatshahi, Elizabeth Finger, Corinne E. Fischer, Andrew Frank, Morris Freedman, David Grimes, Ayman Hassan, Mandar Jog, Sanjeev Kumar, Donna Kwan, Anthony E. Lang, Jennifer Mandzia, Mario Masellis, Adam D. McIntyre, Stephen H. Pasternak, Bruce G. Pollock, Tarek K. Rajji, Ekaterina Rogaeva, Demetrios J. Sahlas, Gustavo Saposnik, Christine Sato, Dallas Seitz, Christen Shoesmith, Thomas D. L. Steeves, Richard H. Swartz, Brian Tan, David F. Tang-Wai, Maria C. Tartaglia, John Turnbull, Lorne Zinman, ONDRI Investigators, and Robert A. Hegele
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Medicine ,Genetics ,QH426-470 - Abstract
Abstract Genetic factors contribute to neurodegenerative diseases, with high heritability estimates across diagnoses; however, a large portion of the genetic influence remains poorly understood. Many previous studies have attempted to fill the gaps by performing linkage analyses and association studies in individual disease cohorts, but have failed to consider the clinical and pathological overlap observed across neurodegenerative diseases and the potential for genetic overlap between the phenotypes. Here, we leveraged rare variant association analyses (RVAAs) to elucidate the genetic overlap among multiple neurodegenerative diagnoses, including Alzheimer’s disease, amyotrophic lateral sclerosis, frontotemporal dementia (FTD), mild cognitive impairment, and Parkinson’s disease (PD), as well as cerebrovascular disease, using the data generated with a custom-designed neurodegenerative disease gene panel in the Ontario Neurodegenerative Disease Research Initiative (ONDRI). As expected, only ~3% of ONDRI participants harboured a monogenic variant likely driving their disease presentation. Yet, when genes were binned based on previous disease associations, we observed an enrichment of putative loss of function variants in PD genes across all ONDRI cohorts. Further, individual gene-based RVAA identified significant enrichment of rare, nonsynonymous variants in PARK2 in the FTD cohort, and in NOTCH3 in the PD cohort. The results indicate that there may be greater heterogeneity in the genetic factors contributing to neurodegeneration than previously appreciated. Although the mechanisms by which these genes contribute to disease presentation must be further explored, we hypothesize they may be a result of rare variants of moderate phenotypic effect contributing to overlapping pathology and clinical features observed across neurodegenerative diagnoses.
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- 2021
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- View/download PDF
4. Ensemble machine learning prediction and variable importance analysis of 5-year mortality after cardiac valve and CABG operations
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José Castela Forte, Hubert E. Mungroop, Fred de Geus, Maureen L. van der Grinten, Hjalmar R. Bouma, Ville Pettilä, Thomas W. L. Scheeren, Maarten W. N. Nijsten, Massimo A. Mariani, Iwan C. C. van der Horst, Robert H. Henning, Marco A. Wiering, and Anne H. Epema
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Medicine ,Science - Abstract
Abstract Despite having a similar post-operative complication profile, cardiac valve operations are associated with a higher mortality rate compared to coronary artery bypass grafting (CABG) operations. For long-term mortality, few predictors are known. In this study, we applied an ensemble machine learning (ML) algorithm to 88 routinely collected peri-operative variables to predict 5-year mortality after different types of cardiac operations. The Super Learner algorithm was trained using prospectively collected peri-operative data from 8241 patients who underwent cardiac valve, CABG and combined operations. Model performance and calibration were determined for all models, and variable importance analysis was conducted for all peri-operative parameters. Results showed that the predictive accuracy was the highest for solitary mitral (0.846 [95% CI 0.812–0.880]) and solitary aortic (0.838 [0.813–0.864]) valve operations, confirming that ensemble ML using routine data collected perioperatively can predict 5-year mortality after cardiac operations with high accuracy. Additionally, post-operative urea was identified as a novel and strong predictor of mortality for several types of operation, having a seemingly additive effect to better known risk factors such as age and postoperative creatinine.
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- 2021
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5. Evaluating ex situ rates of carbon dioxide flux from northern Borneo peat swamp soils
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Eliza Low Ying Si, Michael A. Chadwick, Thomas E. L. Smith, Rahayu Sukmaria Sukri, and Bartosz Adamczyk
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Brunei Darussalam ,LI-COR 6400 ,peatlands ,soil respiration ,tropical forests ,Technology ,Medicine ,Science - Abstract
This study quantified CO2 emissions from tropical peat swamp soils in Brunei Darussalam. At each site, soil was collected from areas of intact and degraded peat and CO2 flux, and total organic content were measured ex situ. Soil organic content (~20–99%) was not significantly different between intact and degraded forest samples. CO2 flux was higher for intact forest samples than degraded forest samples (~1.0 vs. ~0.6 μmol CO2 m−2 s−1, respectively) but did not differ among forest locations. From our laboratory experiments, we estimated a potential emissions of ~10–20 t CO2 ha−1 y−1 which is in the lower range of values reported for other tropical peat swamps. However, our results are likely affected by unmeasured variation in root respiration and the lability of resident carbon. Overall, these findings provide experimental evidence to support that clearance of tropical peat swamp forests can increase CO2 emissions due to faster rates of decomposition.
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- 2022
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6. Endotracheal intubation in mice via direct laryngoscopy using an otoscope.
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Thomas, Joanna L, Dumouchel, Justin, Li, Jinghong, Magat, Jenna, Balitzer, Dana, and Bigby, Timothy D
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Biochemistry and Cell Biology ,Biological Sciences ,Bioengineering ,Lung ,Rare Diseases ,Assistive Technology ,Respiratory ,Animals ,Intubation ,Intratracheal ,Laryngoscopy ,Mice ,Models ,Animal ,Otoscopes ,Medicine ,Issue 86 ,lung physiology ,endotracheal intubation ,laryngoscopy ,airway resistance ,intubation technique ,Psychology ,Cognitive Sciences ,Biochemistry and cell biology - Abstract
Mice, both wildtype and transgenic, are the principal mammalian model in biomedical research currently. Intubation and mechanical ventilation are necessary for whole animal experiments that require surgery under deep anesthesia or measurements of lung function. Tracheostomy has been the standard for intubating the airway in these mice to allow mechanical ventilation. Orotracheal intubation has been reported but has not been successfully used in many studies because of the substantial technical difficulty or a requirement for highly specialized and expensive equipment. Here we report a technique of direct laryngoscopy using an otoscope fitted with a 2.0 mm speculum and using a 20 G intravenous catheter as an endotracheal tube. We have used this technique extensively and reliably to intubate and conduct accurate assessments of lung function in mice. This technique has proven safe, with essentially no animal loss in experienced hands. Moreover, this technique can be used for repeated studies of mice in chronic models.
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- 2014
7. Broadband Silicon-On-Insulator directional couplers using a combination of straight and curved waveguide sections
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George F. R. Chen, Jun Rong Ong, Thomas Y. L. Ang, Soon Thor Lim, Ching Eng Png, and Dawn T. H. Tan
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Medicine ,Science - Abstract
Abstract Broadband Silicon-On-Insulator (SOI) directional couplers are designed based on a combination of curved and straight coupled waveguide sections. A design methodology based on the transfer matrix method (TMM) is used to determine the required coupler section lengths, radii, and waveguide cross-sections. A 50/50 power splitter with a measured bandwidth of 88 nm is designed and fabricated, with a device footprint of 20 μm × 3 μm. In addition, a balanced Mach-Zehnder interferometer is fabricated showing an extinction ratio of >16 dB over 100 nm of bandwidth.
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- 2017
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8. A modified Camel and Cactus Test detects presymptomatic semantic impairment in genetic frontotemporal dementia within the GENFI cohort
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Moore, Katrina, Convery, Rhian, Bocchetta, Martina, Neason, Mollie, Cash, David M., Greaves, Caroline, Russell, Lucy L., Clarke, Mica T. M., Peakman, Georgia, van Swieten, John, Jiskoot, Lize, Moreno, Fermin, Barandiaran, Myriam, Sanchez-Valle, Raquel, Borroni, Barbara, Laforce, Robert, Dore, Marie-Claire, Masellis, Mario, Tartaglia, Maria Carmela, Graff, Caroline, Galimberti, Daniela, Rowe, James B., Finger, Elizabeth, Synofzik, Matthis, Karnath, Hans-Otto, Vandenberghe, Rik, de Mendonca, Alexandre, Maruta, Carolina, Tagliavini, Fabrizio, Santana, Isabel, Ducharme, Simon, Butler, Chris, Gerhard, Alex, Levin, Johannes, Danek, Adrian, Otto, Markus, Warren, Jason D., Rohrer, Jonathan D., Rossor, Martin N., Fox, Nick C., Woollacott, Ione O. C., Shafei, Rachelle, Heller, Carolin, Guerreiro, Rita, Bras, Jose, Thomas, David L., Nicholas, Jennifer, Mead, Simon, Meeter, Lieke, Panman, Jessica, Papma, Janne, van Minkelen, Rick, Pijnenburg, Yolande, Indakoetxea, Begona, Gabilondo, Alazne, Tainta, Mikel, de Arriba, Maria, Gorostidi, Ana, Zulaica, Miren, Villanua, Jorge, Diaz, Zigor, Borrego-Ecija, Sergi, Olives, Jaume, Llado, Albert, Balasa, Mircea, Antonell, Anna, Bargallo, Nuria, Premi, Enrico, Cosseddu, Maura, Gazzina, Stefano, Padovani, Alessandro, Gasparotti, Roberto, Archetti, Silvana, Black, Sandra, Mitchell, Sara, Rogaeva, Ekaterina, Freedman, Morris, Keren, Ron, Tang-Wa, David, Oijerstedt, Linn, Andersson, Christin, Jelic, Vesna, Thonberg, Hakan, Arighi, Andrea, Fenoglio, Chiara, Scarpini, Elio, Fumagalli, Giorgio, Cope, Thomas, Timberlake, Carolyn, Rittman, Timothy, Shoesmith, Christen, Bartha, Robart, Rademakers, Rosa, Wilke, Carlo, Bender, Benjamin, Bruffaerts, Rose, Van Damme, Philip, Vandenbulcke, Mathieu, Ferreira, Catarina B., Miltenberger, Gabriel, Verdelho, Ana, Afonso, Sonia, Taipa, Ricardo, Caroppo, Paola, Di Fede, Giuseppe, Giaccone, Giorgio, Prioni, Sara, Redaelli, Veronica, Rossi, Giacomina, Tiraboschi, Pietro, Duro, Diana, Almeida, Maria Rosario, Castelo-Branco, Miguel, Leitao, Maria Joao, Tabuas-Pereira, Miguel, Santiago, Beatriz, Gauthier, Serge, Rosa-Neto, Pedro, Veldsman, Michele, Flanagan, Toby, Prix, Catharina, Hoegen, Tobias, Wlasich, Elisabeth, Loosli, Sandra, Schonecker, Sonja, Semler, Elisa, Anderl-Straub, Sarah, Neurology, Clinical Psychology, Clinical Genetics, Moore, Katrina [0000-0002-4458-8390], Convery, Rhian [0000-0002-9477-1812], Bocchetta, Martina [0000-0003-1814-5024], Neason, Mollie [0000-0001-9419-7171], Greaves, Caroline [0000-0002-6446-1960], Russell, Lucy L [0000-0001-5023-5893], Clarke, Mica TM [0000-0003-0570-4296], Peakman, Georgia [0000-0002-3319-138X], Galimberti, Daniela [0000-0002-9284-5953], Otto, Markus [0000-0003-4273-4267], Rohrer, Jonathan D [0000-0002-6155-8417], and Apollo - University of Cambridge Repository
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Oncology ,Cactaceae ,medicine.medical_specialty ,Camelus ,Semantic dementia ,Temporal lobe ,Atrophy ,Progranulins ,ddc:150 ,complications [Frontotemporal Dementia] ,C9orf72 ,Internal medicine ,Developmental and Educational Psychology ,medicine ,MAPT ,progranulin ,Semantic memory ,Animals ,Humans ,genetics ,genetics [Frontotemporal Dementia] ,semantic knowledge ,C9orf72 Protein ,Cognition ,medicine.disease ,Semantics ,Neuropsychology and Physiological Psychology ,Frontal lobe ,Frontotemporal Dementia ,Psychology ,Frontotemporal dementia - Abstract
Impaired semantic knowledge is a characteristic feature of some forms of frontotemporal dementia (FTD), particularly the sporadic disorder semantic dementia. Less is known about semantic cognition in the genetic forms of FTD caused by mutations in the genes MAPT, C9orf72, and GRN. We developed a modified version of the Camel and Cactus Test (mCCT) to investigate the presence of semantic difficulties in a large genetic FTD cohort from the Genetic FTD Initiative (GENFI) study. Six-hundred-forty-four participants were tested with the mCCT including 67 MAPT mutation carriers (15 symptomatic, and 52 in the presymptomatic period), 165 GRN mutation carriers (33 symptomatic, 132 presymptomatic), and 164 C9orf72 mutation carriers (56 symptomatic, 108 presymptomatic) and 248 mutation-negative members of FTD families who acted as a control group. The presymptomatic mutation carriers were further split into those early and late in the presymptomatic period (more than vs. within 10 years of expected symptom onset). Groups were compared using a linear regression model, adjusting for age and education, with bootstrapping. Performance on the mCCT had a weak negative correlation with age (rho = −0.20) and a weak positive correlation with education (rho = 0.13), with an overall abnormal score (below the 5th percentile of the control population) being below 27 out of a total of 32. All three of the symptomatic mutation groups scored significantly lower than controls: MAPT mean 22.3 (standard deviation 8.0), GRN 24.4 (7.2), C9orf72 23.6 (6.5) and controls 30.2 (1.6). However, in the presymptomatic groups, only the late MAPT and late C9orf72 mutation groups scored lower than controls (28.8 (2.2) and 28.9 (2.5) respectively). Performance on the mCCT correlated strongly with temporal lobe volume in the symptomatic MAPT mutation group (rho > 0.80). In the C9orf72 group, mCCT score correlated with both bilateral temporal lobe volume (rho > 0.31) and bilateral frontal lobe volume (rho > 0.29), whilst in the GRN group mCCT score correlated only with left frontal lobe volume (rho = 0.48). This study provides evidence for presymptomatic impaired semantic knowledge in genetic FTD. The different neuroanatomical associations of the mCCT score may represent distinct cognitive processes causing deficits in different groups: loss of core semantic knowledge associated with temporal lobe atrophy (particularly in the MAPT group), and impaired executive control of semantic information associated with frontal lobe atrophy. Further studies will be helpful to address the longitudinal change in mCCT performance and the exact time at which presymptomatic impairment occurs.
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- 2022
9. Cognitive composites for genetic frontotemporal dementia: GENFI-Cog
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Poos, Jackie M, Moore, Katrina M, Seelaar, Harro, Vandamme, Philip, Vandenbulcke, Mathieu, Ferreira, Catarina B, Miltenberger, Gabriel, Maruta, Carolina, Verdelho, Ana, Afonso, Sónia, Taipa, Ricardo, Caroppo, Paola, Di Fede, Giuseppe, Pijnenburg, Yolande A L, Giaccone, Giorgio, Prioni, Sara, Redaelli, Veronica, Rossi, Giacomina, Duro, Diana, Almeida, Maria Rosario, Castelo-Branco, Miguel, Leitão, Maria João, Tabuas-Pereira, Miguel, Santiago, Beatriz, Moreno, Fermin, Gauthier, Serge, Rosa-Neto, Pedro, Veldsman, Michele, Thompson, Paul, Langheinrich, Tobias, Prix, Catharina, Hoegen, Tobias, Wlasich, Elisabeth, Loosli, Sandra, Schonecker, Sonja, Sanchez-Valle, Raquel, Anderl-Straub, Sarah, Lombardi, Jolina, Bargalló, Nuria, Benussi, Alberto, Cantoni, Valentina, Bertoux, Maxime, Bertrand, Anne, Brice, Alexis, Camuzat, Agnès, Colliot, Olivier, Borroni, Barbara, Sayah, Sabrina, Funkiewiez, Aurélie, Rinaldi, Daisy, Lombardi, Gemma, Nacmias, Benedetta, Saracino, Dario, Bessi, Valentina, Ferrari, Camilla, Cañada, Marta, Deramecourt, Vincent, Laforce, Robert, Kuchcinski, Gregory, Lebouvier, Thibaud, Ourselin, Sebastien, Polito, Cristina, Rollin, Adeline, Masellis, Mario, Tartaglia, Carmela, Graff, Caroline, Galimberti, Daniela, Nicholas, Jennifer, Rowe, James B, Finger, Elizabeth, Synofzik, Matthis, Vandenberghe, Rik, de Mendonça, Alexandre, Tiraboschi, Pietro, Santana, Isabel, Ducharme, Simon, Butler, Chris, Gerhard, Alexander, Russell, Lucy L, Levin, Johannes, Danek, Adrian, Otto, Markus, Le Ber, Isabel, Pasquier, Florence, van Swieten, John C, Rohrer, Jonathan D, Initiative, Genetic FTD, Bouzigues, Arabella, Rossor, Martin N, Peakman, Georgia, Fox, Nick C, Warren, Jason D, Bocchetta, Martina, Swift, Imogen J, Shafei, Rachelle, Heller, Carolin, Todd, Emily, Cash, David, Woollacott, Ione, Zetterberg, Henrik, Convery, Rhian S, Nelson, Annabel, Guerreiro, Rita, Bras, Jose, Thomas, David L, Mead, Simon, Meeter, Lieke, Panman, Jessica, van Minkelen, Rick, Barandiaran, Myriam, Indakoetxea, Begoña, Jiskoot, Lize C, Gabilondo, Alazne, Tainta, Mikel, Gorostidi, Ana, Zulaica, Miren, Díez, Alina, Villanua, Jorge, Borrego-Ecija, Sergi, Olives, Jaume, Lladó, Albert, Balasa, Mircea, van der Ende, Emma, Antonell, Anna, Bargallo, Nuria, Premi, Enrico, Gazzina, Stefano, Gasparotti, Roberto, Archetti, Silvana, Black, Sandra, Mitchell, Sara, Rogaeva, Ekaterina, Freedman, Morris, van den Berg, Esther, Keren, Ron, Tang-Wai, David, Thonberg, Hakan, Öijerstedt, Linn, Andersson, Christin, Jelic, Vesna, Arighi, Andrea, Fenoglio, Chiara, Scarpini, Elio, Fumagalli, Giorgio, Papma, Janne M, Cope, Thomas, Timberlake, Carolyn, Rittman, Timothy, Shoesmith, Christen, Bartha, Robart, Rademakers, Rosa, Wilke, Carlo, Karnarth, Hans-Otto, Bender, Benjamin, Bruffaerts, Rose, Neurology, Amsterdam Neuroscience - Neurodegeneration, Medical Research Council, Clinical Genetics, Rowe, James [0000-0001-7216-8679], Rohrer, Jonathan D [0000-0002-6155-8417], and Apollo - University of Cambridge Repository
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PROGRESSION ,Neuropsychological Tests ,Composite score ,Genetic FTD Initiative (GENFI) ,diagnosis [Frontotemporal Dementia] ,Cognition ,CRITERIA ,Attention ,genetics [Frontotemporal Dementia] ,11 Medical and Health Sciences ,Language ,Executive function ,Frontotemporal dementia ,Memory ,Neuropsychology ,Social cognition ,Humans ,Mutation ,Prodromal Symptoms ,Sample Size ,tau Proteins ,Frontotemporal Dementia ,CARRIERS ,Neurology ,Psychology ,Life Sciences & Biomedicine ,CLINICAL-TRIALS ,RC321-571 ,medicine.medical_specialty ,Cognitive Neuroscience ,Clinical Neurology ,genetics [Mutation] ,Neurosciences. Biological psychiatry. Neuropsychiatry ,Physical medicine and rehabilitation ,Cog ,mental disorders ,medicine ,ddc:610 ,RC346-429 ,Science & Technology ,Research ,Neurosciences ,medicine.disease ,genetics [tau Proteins] ,Neurosciences & Neurology ,Neurology (clinical) ,Neurology. Diseases of the nervous system - Abstract
Funder: Alzheimer's Research UK, Funder: Alzheimer's Society, Funder: Brain Research UK, Funder: the Wolfson Foundation, Funder: NIHR UCL/H Biomedical Research Centre, Funder: Leonard Wolfson Experimental Neurology Centre Clinical Research Facility, Funder: UK Dementia Research Institute, Funder: UK Medical Research Council, Funder: Bluefield project, Funder: the Association for Frontotemporal Dementias Research Grant 2009, BACKGROUND: Clinical endpoints for upcoming therapeutic trials in frontotemporal dementia (FTD) are increasingly urgent. Cognitive composite scores are often used as endpoints but are lacking in genetic FTD. We aimed to create cognitive composite scores for genetic frontotemporal dementia (FTD) as well as recommendations for recruitment and duration in clinical trial design. METHODS: A standardized neuropsychological test battery covering six cognitive domains was completed by 69 C9orf72, 41 GRN, and 28 MAPT mutation carriers with CDR�� plus NACC-FTLD ��� 0.5 and 275 controls. Logistic regression was used to identify the combination of tests that distinguished best between each mutation carrier group and controls. The composite scores were calculated from the weighted averages of test scores in the models based on the regression coefficients. Sample size estimates were calculated for individual cognitive tests and composites in a theoretical trial aimed at preventing progression from a prodromal stage (CDR�� plus NACC-FTLD 0.5) to a fully symptomatic stage (CDR�� plus NACC-FTLD ��� 1). Time-to-event analysis was performed to determine how quickly mutation carriers progressed from CDR�� plus NACC-FTLD = 0.5 to ��� 1 (and therefore how long a trial would need to be). RESULTS: The results from the logistic regression analyses resulted in different composite scores for each mutation carrier group (i.e. C9orf72, GRN, and MAPT). The estimated sample size to detect a treatment effect was lower for composite scores than for most individual tests. A Kaplan-Meier curve showed that after 3 years, ~ 50% of individuals had converted from CDR�� plus NACC-FTLD 0.5 to ��� 1, which means that the estimated effect size needs to be halved in sample size calculations as only half of the mutation carriers would be expected to progress from CDR�� plus NACC FTLD 0.5 to ��� 1 without treatment over that time period. DISCUSSION: We created gene-specific cognitive composite scores for C9orf72, GRN, and MAPT mutation carriers, which resulted in substantially lower estimated sample sizes to detect a treatment effect than the individual cognitive tests. The GENFI-Cog composites have potential as cognitive endpoints for upcoming clinical trials. The results from this study provide recommendations for estimating sample size and trial duration.
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- 2022
10. Modelling the cascade of biomarker changes in GRN-related frontotemporal dementia
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Panman, J. L., Venkatraghavan, V., Van Der Ende, E. L., Steketee, R. M. E., Jiskoot, L. C., Poos, J. M., Dopper, E. G. P., Meeter, L. H. H., Kaat, L. D., Rombouts, S. A. R. B., Vernooij, M. W., Kievit, A. J. A., Premi, E., Cosseddu, M., Bonomi, E., Olives, J., Rohrer, J. D., Sanchez-Valle, R., Borroni, B., Bron, E. E., Van Swieten, J. C., Papma, J. M., Klein, S., Afonso, S., Almeida, M. R., Anderl-Straub, S., Andersson, C., Antonell, A., Archetti, S., Arighi, A., Balasa, M., Barandiaran, M., Bargallo, N., Bartha, R., Bender, B., Black, S., Butler, C., Bocchetta, M., Borrego-Ecija, S., Bras, J., Bruffaerts, R., Caroppo, P., Cash, D., Castelo-Branco, M., Convery, R., Cope, T., Danek, A., De Arriba, M., De Mendonca, A., Di Fede, G., Diaz, Z., Ducharme, S., Duro, D., Fenoglio, C., Ferreira, C. B., Finger, E., Flanagan, T., Fox, N., Freedman, M., Fumagalli, G., Gabilondo, A., Galimberti, D., Gasparotti, R., Gauthier, S., Gazzina, S., Gerhard, A., Giaccone, G., Gorostidi, A., Graff, C., Greaves, C., Guerreiro, R., Heller, C., Hoegen, T., Indakoetxea, B., Jelic, V., Karnath, H. -O., Keren, R., Laforce, R., Leitao, M. J., Levin, J., Llado, A., Loosli, S., Maruta, C., Masellis, M., Mead, S., Miltenberger, G., Van Minkelenm Sara Mitchell, R., Moore, K., Moreno, F., Nicholas, J., Oijerstedt, L., Otto, M., Ourselin, S., Padovani, A., Peakman, G., Pijnenburg, Y., Polito, C., Prioni, S., Prix, C., Rademakers, R., Redaelli, V., Rittman, T., Rogaeva, E., Rosa-Neto, P., Rossi, G., Rosser, M., Rowe, J., Santana, I., Santiago, B., Scarpini, E., Schonecker, S., Shafei, E. S. R., Shoesmith, C., Synofzik, M., Tabuas-Pereira, M., Tagliavini, F., Tartaglia, C., Tainta, M., Taipa, R., Tang-Wai, D., Thomas, D. L., Thonberg, H., Timberlake, C., Tiraboschi, P., Todd, E., Vandamme, P., Vandenberghe, R., Vandenbulcke, M., Veldsman, M., Verdelho, A., Villanua, J., Warren, J., Wilkeione, C., Elisabeth, W., Henrik, W., Zulaica, Z. M., Neurology, Physics and medical technology, Radiology & Nuclear Medicine, Clinical Genetics, and Medical Research Council
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Male ,Oncology ,Disease ,Neuropsychological Tests ,GENFI consortium investigators ,Primary progressive aphasia ,Cognition ,Progranulins ,0302 clinical medicine ,Neurofilament Proteins ,BEHAVIORAL VARIANT ,HETEROGENEITY ,Gray Matter ,11 Medical and Health Sciences ,Language ,Psychiatry ,0303 health sciences ,Brain ,Middle Aged ,Magnetic Resonance Imaging ,White Matter ,17 Psychology and Cognitive Sciences ,ALZHEIMERS-DISEASE ,Psychiatry and Mental health ,Phenotype ,medicine.anatomical_structure ,Frontotemporal Dementia ,Disease Progression ,Biomarker (medicine) ,Female ,Life Sciences & Biomedicine ,Frontotemporal dementia ,medicine.medical_specialty ,Clinical Neurology ,EVENT-BASED MODEL ,Grey matter ,Lateralization of brain function ,White matter ,03 medical and health sciences ,SDG 3 - Good Health and Well-being ,Internal medicine ,NEUROFILAMENT LIGHT-CHAIN ,medicine ,Humans ,LOBAR DEGENERATION ,PROGRANULIN ,Aged ,030304 developmental biology ,Science & Technology ,Neurology & Neurosurgery ,business.industry ,DISEASE PROGRESSION ,medicine.disease ,Mutation ,WHITE-MATTER INTEGRITY ,Surgery ,Neurosciences & Neurology ,Neurology (clinical) ,business ,GENFI ,Biomarkers ,030217 neurology & neurosurgery ,Progressive disease - Abstract
ObjectiveProgranulin-related frontotemporal dementia (FTD-GRN) is a fast progressive disease. Modelling the cascade of multimodal biomarker changes aids in understanding the aetiology of this disease and enables monitoring of individual mutation carriers. In this cross-sectional study, we estimated the temporal cascade of biomarker changes for FTD-GRN, in a data-driven way.MethodsWe included 56 presymptomatic and 35 symptomatic GRN mutation carriers, and 35 healthy non-carriers. Selected biomarkers were neurofilament light chain (NfL), grey matter volume, white matter microstructure and cognitive domains. We used discriminative event-based modelling to infer the cascade of biomarker changes in FTD-GRN and estimated individual disease severity through cross-validation. We derived the biomarker cascades in non-fluent variant primary progressive aphasia (nfvPPA) and behavioural variant FTD (bvFTD) to understand the differences between these phenotypes.ResultsLanguage functioning and NfL were the earliest abnormal biomarkers in FTD-GRN. White matter tracts were affected before grey matter volume, and the left hemisphere degenerated before the right. Based on individual disease severities, presymptomatic carriers could be delineated from symptomatic carriers with a sensitivity of 100% and specificity of 96.1%. The estimated disease severity strongly correlated with functional severity in nfvPPA, but not in bvFTD. In addition, the biomarker cascade in bvFTD showed more uncertainty than nfvPPA.ConclusionDegeneration of axons and language deficits are indicated to be the earliest biomarkers in FTD-GRN, with bvFTD being more heterogeneous in disease progression than nfvPPA. Our data-driven model could help identify presymptomatic GRN mutation carriers at risk of conversion to the clinical stage.
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- 2021
11. Grip Strength Decline and Its Determinants in the Very Old: Longitudinal Findings from the Newcastle 85+ Study.
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Antoneta Granic, Karen Davies, Carol Jagger, Thomas B L Kirkwood, Holly E Syddall, and Avan A Sayer
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Medicine ,Science - Abstract
BackgroundWeak grip strength (GS) is a key component of sarcopenia and frailty and a powerful predictor of mortality, morbidity and disability. Despite increasing interest in understanding GS across the lifespan, little is known about GS decline in the very old (aged ≥85). We examined trajectories of GS in very old adults and identified the determinants.MethodsGS (kg) was measured four times over 5 years in 319 men and 526 women participating in the Newcastle 85+ Study. A weak GS sub-cohort was identified as having strength of ≤27 kg (men), and ≤16 kg (women) at baseline and follow-up. Mixed models were used to establish trajectories of GS and associated factors in all participants, men and women, and in those with weak GS.ResultsMen's mean grip strength was 24.42 (SD = 6.77) kg, and women's 13.23 (4.42) kg (pConclusionGrip strength decline in the very old followed linear (men) and curvilinear (women) trends. High levels of physical activity were protective of GS loss in men (but not in women) and in those with weak GS. Thus maintaining muscle strength in later life is important to reduce the morbidity and mortality in the very old.
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- 2016
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12. Quality of Platelets in Stored Whole Blood
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Thomas R. L. Klei, Pieter F. van der Meer, and Dirk de Korte
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Blood Platelets ,Platelets ,medicine.medical_specialty ,Survival ,Cell Survival ,Blood Safety ,Clinical Biochemistry ,030204 cardiovascular system & hematology ,03 medical and health sciences ,0302 clinical medicine ,Recovery ,Outcome Assessment, Health Care ,Coagulopathy ,medicine ,Humans ,Platelet ,Blood Transfusion ,Patient group ,Intensive care medicine ,Whole blood ,Cryopreservation ,medicine.diagnostic_test ,business.industry ,Platelet Count ,Transfusion ,Biochemistry (medical) ,Massive transfusion ,Hematology ,medicine.disease ,Clot formation ,Thromboelastography ,Blood components ,Thrombelastography ,Wound area ,Clotting time ,Pathogen inactivation ,Blood Preservation ,business ,030215 immunology - Abstract
Transfusion of whole blood rather than blood components is gaining popularity. It is easy to use, with one transfusion product to administer rather than 3, and is held at one storage temperature. It only contains anticoagulant-preservative solution, while components contain various storage solutions, which in theory may induce dilution coagulopathy. In this review, the quality of platelets in stored whole blood is summarized. In cold-stored whole blood, the platelet count declines by 1% to 2% per day. The responsiveness to various agonists declines during the storage time, but this appears to have a limited impact on clotting time or on clot strength as measured with thromboelastography. Animal studies have confirmed that platelets from stored whole blood participate equally well in clot formation. The recovery of platelets in stored whole blood is acceptable during at least 15 days of storage. The survival of platelets after transfusion is only 1 day, but this is likely to be sufficient for the intended patient group requiring massive transfusions, as the platelets are rapidly consumed in the wound area. In addition to the logistic benefits, there are drawbacks, most importantly having a sufficiently large inventory with an acceptable outdating rate, particularly since massive transfusions are rare, while requiring a lot of whole blood. The positive experience of the United States military with whole blood transfusion is often brought forward for introduction in the civilian blood bank, but patients with trauma are only a small fraction of the civilian population requiring massive transfusions. It needs to be determined whether in the resourceful environment of the hospital, these patients benefit from whole blood transfusions. Optimization of whole blood storage, with focus on platelet quality, needs to be performed to allow extension of the storage time beyond 15 days to a point where the number of units in inventory and outdating can be balanced.
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- 2020
13. Faster Cortical Thinning and Surface Area Loss in Presymptomatic and Symptomatic C9orf72 Repeat Expansion Adult Carriers
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Le Blanc, Gabriella, Jetté Pomerleau, Vincent, Graff, Caroline, Rittman, Tim, Rogaeva, Ekaterina, Rosa‐Neto, Pedro, Rossi, Giacomina, Rossor, Martin, Santiago, Beatriz, Scarpini, Elio, Semler, Elisa, Shafei, Rachelle, Shoesmith, Christen, Masellis, Mario, Tábuas‐Pereira, Miguel, Tainta, Mikel, Tang‐Wai, David, Thomas, David L, Thonberg, Hakan, Timberlake, Carolyn, Tiraboschi, Pietro, Vandamme, Philip, Vandenbulcke, Mathieu, Veldsman, Michele, Tartaglia, Maria C., Verdelho, Ana, Villanua, Jorge, Warren, Jason, Wilke, Carlo, Zetterberg, Henrik, Zulaica, Miren, Rowe, James B., Vandenberghe, Rik, Finger, Elizabeth, Tagliavini, Fabrizio, Mendonça, Alexandre, Santana, Isabel, Butler, Chris, McCarthy, Jillian, Gerhard, Alex, Danek, Adrian, Levin, Johannes, Otto, Markus, Frisoni, Giovanni, Sorbi, Sandro, Rohrer, Jonathan D., Ducharme, Simon, Almeida, Maria Rosario, Anderl‐Straub, Sarah, Borroni, Barbara, Andersson, Christin, Antonell, Anna, Arighi, Andrea, Balasa, Mircea, Barandiaran, Myriam, Bargalló, Nuria, Bartha, Robart, Bender, Benjamin, Benussi, Luisa, Binetti, Giuliano, Swieten, John, Black, Sandra, Bocchetta, Martina, Borrego, Sergi, Bras, Jose, Bruffaerts, Rose, Caroppo, Paola, Cash, David, Castelo‐Branco, Miguel, Convery, Rhian, Cope, Thomas, Galimberti, Daniela, Arriba, María, Di Fede, Giuseppe, Díaz, Zigor, Dick, Katrina M, Duro, Diana, Fenoglio, Chiara, Ferreira, Carlos, Ferreira, Catarina B., Flanagan, Toby, Fox, Nick, Sanchez‐Valle, Raquel, Freedman, Morris, Fumagalli, Giorgio, Gabilondo, Alazne, Gauthier, Serge, Ghidoni, Roberta, Giaccone, Giorgio, Gorostidi, Ana, Greaves, Caroline, Guerreiro, Rita, Heller, Carolin, LaForce, Robert, Hoegen, Tobias, Indakoetxea, Begoña, Jelic, Vesna, Jiskoot, Lize, Karnath, Hans‐Otto, Keren, Ron, Leitão, Maria João, Lladó, Albert, Lombardi, Gemma, Loosli, Sandra, Moreno, Fermin, Maruta, Carolina, Mead, Simon, Meeter, Lieke, Miltenberger, Gabriel, Minkelen, Rick, Mitchell, Sara, Nacmias, Benedetta, Neason, Mollie, Nicholas, Jennifer, Öijerstedt, Linn, Synofzik, Matthis, Olives, Jaume, Panman, Jessica, Papma, Janne, Patzig, Maximilian, Pievani, Michela, Pijnenburg, Yolande, Prioni, Sara, Prix, Catharina, Rademakers, Rosa, Redaelli, Veronica, Neurology, Ducharme, Simon [0000-0002-7309-1113], and Apollo - University of Cambridge Repository
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0301 basic medicine ,Adult ,Male ,medicine.medical_specialty ,Adolescent ,diagnostic imaging [Frontotemporal Dementia] ,03 medical and health sciences ,Young Adult ,0302 clinical medicine ,Atrophy ,C9orf72 ,Internal medicine ,diagnostic imaging [Cerebral Cortex] ,medicine ,Humans ,ddc:610 ,Young adult ,genetics [C9orf72 Protein] ,genetics [Frontotemporal Dementia] ,Aged ,Aged, 80 and over ,Cerebral Cortex ,DNA Repeat Expansion ,medicine.diagnostic_test ,C9orf72 Protein ,business.industry ,Magnetic resonance imaging ,diagnostic imaging [Atrophy] ,Middle Aged ,medicine.disease ,Magnetic Resonance Imaging ,030104 developmental biology ,medicine.anatomical_structure ,Neurology ,Cerebral cortex ,Frontotemporal Dementia ,Cardiology ,Female ,Neurology (clinical) ,Trinucleotide repeat expansion ,business ,Asymptomatic carrier ,030217 neurology & neurosurgery ,Frontotemporal dementia ,genetics [Atrophy] - Abstract
Objective C9orf72 expansion is the most common genetic cause of frontotemporal dementia (FTD). We examined aging trajectories of cortical thickness (CTh) and surface area in C9orf72 expansion adult carriers compared to healthy controls to characterize preclinical cerebral changes leading to symptoms. Methods Data were obtained from the Genetic Frontotemporal Dementia Initiative. T1-weighted magnetic resonance imaging scans were processed with CIVET 2.1 to extract vertex-wide CTh and cortical surface area (CSA). Symptomatic and presymptomatic subjects were compared to age-matched controls using mixed-effects models, controlling for demographic variables. Aging trajectories were compared between carriers and noncarriers by testing the "age by genetic status" interaction. False discovery rate corrections were applied to all vertex-wide analyses. Results The sample included 640 scans from 386 subjects, including 54 symptomatic C9orf72 carriers (72.2% behavioral variant FTD), 83 asymptomatic carriers, and 249 controls (age range = 18-86 years). Symptomatic carriers showed fairly symmetric reduction in CTh/CSA in most of the frontal lobes, in addition to large temporoparietal areas. Presymptomatic subjects had reduced CTh/CSA in more restricted areas of the medial frontoparietal lobes, in addition to scattered lateral frontal, parietal, and temporal areas. These differences were explained by faster cortical thinning linearly throughout adulthood in a similar anatomical distribution, with differences emerging in the early 30s. CSA reduction was also faster in mutation carriers predominantly in the ventrofrontal regions. Interpretation C9orf72 mutation carriers have faster cortical thinning and surface loss throughout adulthood in regions that show atrophy in symptomatic subjects. This suggests that the pathogenic effects of the mutation lead to structural cerebral changes decades prior to symptoms. ANN NEUROL 2020 ANN NEUROL 2020;88:113-122.
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- 2020
14. Comparison of clinical rating scales in genetic frontotemporal dementia within the GENFI cohort
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Peakman, Georgia, Russell, Lucy L., Convery, Rhian S., Nicholas, Jennifer M., van Swieten, John C., Jiskoot, Lize C., Moreno, Fermin, Sanchez-Valle, Raquel, Laforce, Robert, Graff, Caroline, Masellis, Mario, Tartaglia, Maria Carmela, Rowe, James B., Borroni, Barbara, Finger, Elizabeth, Synofzik, Matthis, Galimberti, Daniela, Vandenberghe, Rik, de Mendonça, Alexandre, Butler, Chris R., Gerhard, Alex, Ducharme, Simon, Le Ber, Isabelle, Tagliavini, Fabrizio, Santana, Isabel, Pasquier, Florence, Levin, Johannes, Danek, Adrian, Otto, Markus, Sorbi, Sandro, Rohrer, Jonathan D., Afonso, Sónia, Almeida, Maria Rosario, Anderl-Straub, Sarah, Andersson, Christin, Antonell, Anna, Archetti, Silvana, Arighi, Andrea, Balasa, Mircea, Barandiaran, Myriam, Bargalló, Nuria, Bartha, Robart, Bender, Benjamin, Benussi, Alberto, Bertoux, Maxime, Bertrand, Anne, Bessi, Valentina, Black, Sandra, Bocchetta, Martina, Borrego-Ecija, Sergi, Bras, Jose, Brice, Alexis, Bruffaerts, Rose, Camuzat, Agnès, Cañada, Marta, Cantoni, Valentina, Caroppo, Paola, Cash, David, Castelo-Branco, Miguel, Colliot, Olivier, Cope, Thomas, Deramecourt, Vincent, de Arriba, María, Di Fede, Giuseppe, Díez, Alina, Duro, Diana, Fenoglio, Chiara, Ferrari, Camilla, Ferreira, Catarina B., Fox, Nick, Freedman, Morris, Fumagalli, Giorgio, Funkiewiez, Aurélie, Gabilondo, Alazne, Gasparotti, Roberto, Gauthier, Serge, Gazzina, Stefano, Giaccone, Giorgio, Gorostidi, Ana, Greaves, Caroline, Guerreiro, Rita, Heller, Carolin, Hoegen, Tobias, Indakoetxea, Begoña, Jelic, Vesna, Karnath, Hans-Otto, Keren, Ron, Kuchcinski, Gregory, Langheinrich, Tobias, Lebouvier, Thibaud, Leitão, Maria João, Lladó, Albert, Lombardi, Gemma, Loosli, Sandra, Maruta, Carolina, Mead, Simon, Meeter, Lieke, Miltenberger, Gabriel, van Minkelen, Rick, Mitchell, Sara, Moore, Katrina, Nacmias, Benedetta, Nelson, Annabel, Öijerstedt, Linn, Olives, Jaume, Ourselin, Sebastien, Padovani, Alessandro, Panman, Jessica, Papma, Janne M., Pijnenburg, Yolande, Polito, Cristina, Premi, Enrico, Prioni, Sara, Prix, Catharina, Rademakers, Rosa, Redaelli, Veronica, Rinaldi, Daisy, Rittman, Tim, Rogaeva, Ekaterina, Rollin, Adeline, Rosa-Neto, Pedro, Rossi, Giacomina, Rossor, Martin, Santiago, Beatriz, Saracino, Dario, Sayah, Sabrina, Scarpini, Elio, Schönecker, Sonja, Seelaar, Harro, Semler, Elisa, Shafei, Rachelle, Shoesmith, Christen, Swift, Imogen, Tábuas-Pereira, Miguel, Tainta, Mikel, Taipa, Ricardo, Tang-Wai, David, Thomas, David L., Thompson, Paul, Thonberg, Hakan, Timberlake, Carolyn, Tiraboschi, Pietro, Todd, Emily, van Damme, Philip, Vandenbulcke, Mathieu, Veldsman, Michele, Verdelho, Ana, Villanua, Jorge, Warren, Jason, Wilke, Carlo, Woollacott, Ione, Wlasich, Elisabeth, Zetterberg, Henrik, Zulaica, Miren, Neurology, Amsterdam Neuroscience - Neurodegeneration, University College of London [London] (UCL), London School of Hygiene and Tropical Medicine (LSHTM), Erasmus University Medical Center [Rotterdam] (Erasmus MC), Donostia International Physics Center - DIPC (SPAIN), Donostia International Physics Center (DIPC), University of the Basque Country/Euskal Herriko Unibertsitatea (UPV/EHU)-University of the Basque Country/Euskal Herriko Unibertsitatea (UPV/EHU), Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Universitat de Barcelona (UB), Centre Hospitalier Université Laval [Quebec] (CHUL), CHU de Québec–Université Laval, Université Laval [Québec] (ULaval)-Université Laval [Québec] (ULaval), Karolinska Institutet [Stockholm], University of Toronto, University of Cambridge [UK] (CAM), University of Brescia, University of Western Ontario (UWO), Universitätsklinikum Tübingen - University Hospital of Tübingen, Eberhard Karls Universität Tübingen = Eberhard Karls University of Tuebingen, Fondazione IRCCS Ca' Granda - Ospedale Maggiore Policlinico, Catholic University of Leuven - Katholieke Universiteit Leuven (KU Leuven), Lusófona University [Lisbon], University of Oxford, University of Manchester [Manchester], McGill University = Université McGill [Montréal, Canada], Institut du Cerveau = Paris Brain Institute (ICM), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Sorbonne Université (SU)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Institut de la Mémoire et de la Maladie d'Alzheimer [CHU Pitié-Salpétriêre] (IM2A), CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU), Service de Neurologie [CHU Pitié-Salpêtrière], IFR70-CHU Pitié-Salpêtrière [AP-HP], Fondazione IRCCS Istituto Neurologico 'Carlo Besta', University of Coimbra [Portugal] (UC), Lille Neurosciences & Cognition - U 1172 (LilNCog), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Lille-Centre Hospitalier Régional Universitaire [Lille] (CHRU Lille), Ludwig-Maximilians-Universität München (LMU), University of Ulm (UUlm), Università degli Studi di Firenze = University of Florence (UniFI), HAL-SU, Gestionnaire, Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU), University of Oxford [Oxford], Institut du Cerveau et de la Moëlle Epinière = Brain and Spine Institute (ICM), Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Institut de la Mémoire et de la Maladie d'Alzheimer [Paris] (IM2A), Sorbonne Université (SU), Lille Neurosciences & Cognition - U 1172 (LilNCog (ex-JPARC)), Università degli Studi di Firenze = University of Florence [Firenze] (UNIFI), Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP), Peakman, Georgia [0000-0002-3319-138X], Convery, Rhian S [0000-0002-9477-1812], Van Swieten, John C [0000-0001-6278-6844], Jiskoot, Lize C [0000-0002-1120-1858], Rowe, James B [0000-0001-7216-8679], Borroni, Barbara [0000-0001-9340-9814], Finger, Elizabeth [0000-0003-4461-7427], Galimberti, Daniela [0000-0002-9284-5953], Gerhard, Alex [0000-0002-8071-6062], Ducharme, Simon [0000-0002-7309-1113], Le Ber, Isabelle [0000-0002-2508-5181], Danek, Adrian [0000-0001-8857-5383], Otto, Markus [0000-0002-6647-5944], Sorbi, Sandro [0000-0002-0380-6670], Rohrer, Jonathan D [0000-0002-6155-8417], Apollo - University of Cambridge Repository, and Genetic FTD Initiative (GENFI)
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Oncology ,Medizin ,LANGUAGE ,Disease ,Genetic FTD Initiative (GENFI) ,Cohort Studies ,0302 clinical medicine ,diagnosis [Frontotemporal Dementia] ,ddc:150 ,C9orf72 ,CRITERIA ,030212 general & internal medicine ,frontotemporal dementia ,C9orf72 Protein ,Cross-Sectional Studies ,Disease Progression ,Frontotemporal Dementia ,Humans ,Mutation ,tau Proteins ,Mental Status and Dementia Tests ,VERSION ,11 Medical and Health Sciences ,Psychiatry ,UTILITY ,DDC 150 / Psychology ,biology ,FTD ,17 Psychology and Cognitive Sciences ,Psychiatry and Mental health ,Mutation (genetic algorithm) ,Cohort ,[SDV.NEU]Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC] ,medicine.symptom ,FTLD ,Life Sciences & Biomedicine ,Alzheimer’s disease ,Frontotemporal dementia ,medicine.medical_specialty ,Clinical Dementia Rating ,Tau protein ,Clinical Neurology ,Alzheimerkrankheit ,[SDV.GEN.GH] Life Sciences [q-bio]/Genetics/Human genetics ,DIAGNOSIS ,Asymptomatic ,VALIDATION ,03 medical and health sciences ,SDG 3 - Good Health and Well-being ,Internal medicine ,mental disorders ,medicine ,ddc:610 ,[SDV.NEU] Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC] ,Neurodegeneration ,Science & Technology ,Neurology & Neurosurgery ,[SDV.GEN.GPO]Life Sciences [q-bio]/Genetics/Populations and Evolution [q-bio.PE] ,business.industry ,MUTATIONS ,medicine.disease ,[SDV.GEN.GH]Life Sciences [q-bio]/Genetics/Human genetics ,biology.protein ,[SDV.GEN.GPO] Life Sciences [q-bio]/Genetics/Populations and Evolution [q-bio.PE] ,Surgery ,Neurology (clinical) ,Neurosciences & Neurology ,business ,030217 neurology & neurosurgery - Abstract
BackgroundTherapeutic trials are now underway in genetic forms of frontotemporal dementia (FTD) but clinical outcome measures are limited. The two most commonly used measures, the Clinical Dementia Rating (CDR)+National Alzheimer’s Disease Coordinating Center (NACC) Frontotemporal Lobar Degeneration (FTLD) and the FTD Rating Scale (FRS), have yet to be compared in detail in the genetic forms of FTD.MethodsThe CDR+NACC FTLD and FRS were assessed cross-sectionally in 725 consecutively recruited participants from the Genetic FTD Initiative: 457 mutation carriers (77 microtubule-associated protein tau (MAPT), 187 GRN, 193 C9orf72) and 268 family members without mutations (non-carrier control group). 231 mutation carriers (51 MAPT, 92 GRN, 88 C9orf72) and 145 non-carriers had available longitudinal data at a follow-up time point.ResultsCross-sectionally, the mean FRS score was lower in all genetic groups compared with controls: GRN mutation carriers mean 83.4 (SD 27.0), MAPT mutation carriers 78.2 (28.8), C9orf72 mutation carriers 71.0 (34.0), controls 96.2 (7.7), p, publishedVersion
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- 2022
15. Stratifying the Presymptomatic Phase of Genetic Frontotemporal Dementia by Serum NfL and pNfH: A Longitudinal Multicentre Study
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Wilke, Carlo, Reich, Selina, Swieten, John C., Borroni, Barbara, Sanchez‐Valle, Raquel, Moreno, Fermin, Laforce, Robert, Graff, Caroline, Galimberti, Daniela, Rowe, James B., Masellis, Mario, Tartaglia, Maria C., Finger, Elizabeth, Vandenberghe, Rik, Mendonça, Alexandre, Tagliavini, Fabrizio, Santana, Isabel, Ducharme, Simon, Butler, Chris R., Gerhard, Alexander, Levin, Johannes, Danek, Adrian, Otto, Markus, Frisoni, Giovanni, Ghidoni, Roberta, Sorbi, Sandro, Bocchetta, Martina, Todd, Emily, Kuhle, Jens, Barro, Christian, Afonso, Sónia, Almeida, Maria Rosario, Anderl‐Straub, Sarah, Andersson, Christin, Antonell, Anna, Archetti, Silvana, Arighi, Andrea, Balasa, Mircea, Barandiaran, Myriam, Bargalló, Nuria, Bartha, Robart, Bender, Benjamin, Benussi, Alberto, Benussi, Luisa, Bessi, Valentina, Binetti, Giuliano, Black, Sandra, Borrego‐Ecija, Sergi, Bras, Jose, Bruffaerts, Rose, Cañada, Marta, Cantoni, Valentina, Caroppo, Paola, Cash, David, Castelo‐Branco, Miguel, Convery, Rhian, Cope, Thomas, Di Fede, Giuseppe, Díez, Alina, Duro, Diana, Fenoglio, Chiara, Ferrari, Camilla, Ferreira, Catarina B., Fox, Nick, Freedman, Morris, Fumagalli, Giorgio, Gabilondo, Alazne, Gasparotti, Roberto, Gauthier, Serge, Gazzina, Stefano, Giaccone, Giorgio, Gorostidi, Ana, Greaves, Caroline, Guerreiro, Rita, Heller, Carolin, Hoegen, Tobias, Indakoetxea, Begoña, Jelic, Vesna, Jiskoot, Lize, Karnath, Hans‐Otto, Keren, Ron, Langheinrich, Tobias, Leitão, Maria João, Lladó, Albert, Lombardi, Gemma, Loosli, Sandra, Maruta, Carolina, Mead, Simon, Meeter, Lieke, Miltenberger, Gabriel, Minkelen, Rick, Mitchell, Sara, Moore, Katrina, Nacmias, Benedetta, Nicholas, Jennifer, Öijerstedt, Linn, Olives, Jaume, Ourselin, Sebastien, Padovani, Alessandro, Panman, Jessica, Papma, Janne M., Peakman, Georgia, Pievani, Michela, Pijnenburg, Yolande, Polito, Cristina, Premi, Enrico, Prioni, Sara, Prix, Catharina, Rademakers, Rosa, Redaelli, Veronica, Rittman, Tim, Rogaeva, Ekaterina, Rosa‐Neto, Pedro, Rossi, Giacomina, Rosser, Martin, Santiago, Beatriz, Scarpini, Elio, Schönecker, Sonja, Seelaar, Harro, Semler, Elisa, Shafei, Rachelle, Shoesmith, Christen, Tábuas‐Pereira, Miguel, Tainta, Mikel, Taipa, Ricardo, Tang‐Wai, David, Thomas, David L., Thompson, Paul, Thonberg, Hakan, Timberlake, Carolyn, Tiraboschi, Pietro, Van Damme, Philip, Vandenbulcke, Mathieu, Veldsman, Michele, Verdelho, Ana, Villanua, Jorge, Warren, Jason, Woollacott, Ione, Wlasich, Elisabeth, Zetterberg, Henrik, Zulaica, Miren, Rohrer, Jonathan D., Synofzik, Matthis, Repositório da Universidade de Lisboa, Neurology, and Clinical Genetics
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blood [Frontotemporal Dementia] ,Male ,Oncology ,Medizin ,blood [Neurofilament Proteins] ,Disease ,Cohort Studies ,0302 clinical medicine ,Settore BIO/13 - Biologia Applicata ,Neurofilament Proteins ,C9orf72 ,CRITERIA ,Longitudinal Studies ,Stage (cooking) ,0303 health sciences ,blood [Biomarkers] ,FTD ,Middle Aged ,3. Good health ,Neurology ,Frontotemporal Dementia ,Cohort ,Biomarker (medicine) ,Female ,Life Sciences & Biomedicine ,Frontotemporal dementia ,Treatment response ,medicine.medical_specialty ,Clinical Neurology ,C9ORF72 ,IMMUNOASSAY ,03 medical and health sciences ,Atrophy ,Internal medicine ,NEUROFILAMENT LIGHT-CHAIN ,medicine ,Humans ,ddc:610 ,Aged ,030304 developmental biology ,Science & Technology ,HEXANUCLEOTIDE REPEAT ,MUTATIONS ,business.industry ,DISEASE PROGRESSION ,Neurosciences ,medicine.disease ,Biomarkers ,Neurosciences & Neurology ,Neurology (clinical) ,TAU ,business ,030217 neurology & neurosurgery - Abstract
© 2021 The Authors. Annals of Neurology published by Wiley Periodicals LLC on behalf of American Neurological Association. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited., Objective: Although the presymptomatic stages of frontotemporal dementia (FTD) provide a unique chance to delay or even prevent neurodegeneration by early intervention, they remain poorly defined. Leveraging a large multicenter cohort of genetic FTD mutation carriers, we provide a biomarker-based stratification and biomarker cascade of the likely most treatment-relevant stage within the presymptomatic phase: the conversion stage. Methods: We longitudinally assessed serum levels of neurofilament light (NfL) and phosphorylated neurofilament heavy (pNfH) in the Genetic FTD Initiative (GENFI) cohort (n = 444), using single-molecule array technique. Subjects comprised 91 symptomatic and 179 presymptomatic subjects with mutations in the FTD genes C9orf72, GRN, or MAPT, and 174 mutation-negative within-family controls. Results: In a biomarker cascade, NfL increase preceded the hypothetical clinical onset by 15 years and concurred with brain atrophy onset, whereas pNfH increase started close to clinical onset. The conversion stage was marked by increased NfL, but still normal pNfH levels, while both were increased at the symptomatic stage. Intra-individual change rates were increased for NfL at the conversion stage and for pNfH at the symptomatic stage, highlighting their respective potential as stage-dependent dynamic biomarkers within the biomarker cascade. Increased NfL levels and NfL change rates allowed identification of presymptomatic subjects converting to symptomatic disease and capture of proximity-to-onset. We estimate stage-dependent sample sizes for trials aiming to decrease neurofilament levels or change rates. Interpretation: Blood NfL and pNfH provide dynamic stage-dependent stratification and, potentially, treatment response biomarkers in presymptomatic FTD, allowing demarcation of the conversion stage. The proposed biomarker cascade might pave the way towards a biomarker-based precision medicine approach to genetic FTD., W. and M.S. are members of the European Reference Network for Rare Neurological Diseases Project ID No. 739510. This work was supported by the Horizon 2020 research and innovation program (grant 779257 Solve-RD to M.S.), the National Ataxia Foundation (grant to C.W. and M.S.), the Wilhelm Vaillant Stiftung (grant to C.W.), the EU Joint Programme – Neurodegenerative Disease Research (JPND) “GENFI-prox” through participating national funding agencies (by DLR/BMBF to M.S., J.D.R., B.B., C.G., and M.O.), and the European Union's Horizon 2020 research and innovation programme under grant agreement No. 643417. J.C.S. and H.S. received funding by two Memorabel grants from Deltaplan Dementie (The Netherlands Organisation for Health Research and Development and Alzheimer Nederland; grant numbers 733050813 and 733050103) in the Netherlands and the Bluefield Project to Cure Frontotemporal Dementia. J.B.R. was supported by the NIHR Cambridge Biomedical Research Centre (BRC-1215-20014) and the Medical Research Council (SUAG/051 G101400). C.B. is supported by a postdoctoral fellowship from the Swiss National Science Foundation (P400PM_191077). J.D.R. is supported by the Miriam Marks Brain Research UK Senior Fellowship and has received funding from an MRC Clinician Scientist Fellowship (MR/M008525/1) and the NIHR Rare Disease Translational Research Collaboration (BRC149/NS/MH). This work was also supported by the MRC UK GENFI grant (MR/M023664/1), the Bluefield Project and the JPND GENFI-PROX grant (2019-02248).
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- 2021
16. MRI data-driven algorithm for the diagnosis of behavioural variant frontotemporal dementia
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Manera, Ana L, Dadar, Mahsa, Van Swieten, John Cornelis, Borroni, Barbara, Sanchez-Valle, Raquel, Moreno, Fermin, Laforce Jr, Robert, Graff, Caroline, Synofzik, Matthis, Galimberti, Daniela, Rowe, James Benedict, Masellis, Mario, Tartaglia, Maria Carmela, Finger, Elizabeth, Vandenberghe, Rik, De Mendonca, Alexandre, Tagliavini, Fabrizio, Santana, Isabel, Butler, Christopher R, Gerhard, Alex, Danek, Adrian, Levin, Johannes, Otto, Markus, Frisoni, Giovanni, Ghidoni, Roberta, Sorbi, Sandro, Rohrer, Jonathan Daniel, Ducharme, Simon, Collins, D Louis, FTLDNI Investigators, Rosen, Howard, Dickerson, Bradford C., Domoto-Reilly, Kimoko, Knopman, David, Boeve, Bradley F., Boxer, Adam L., Kornak, John, Miller, Bruce L., Seeley, William W., Gorno-Tempini, Maria-Luisa, McGinnis, Scott, Mandelli, Maria Luisa, GENFI Consortium, Afonso, Sónia, Almeida, Maria Rosario, Anderl-Straub, Sarah, Andersson, Christin, Antonell, Anna, Archetti, Silvana, Arighi, Andrea, Balasa, Mircea, Barandiaran, Myriam, Bargalló, Nuria, Bartha, Robart, Bender, Benjamin, Benussi, Alberto, Benussi, Luisa, Bessi, Valentina, Binetti, Giuliano, Black, Sandra, Bocchetta, Martina, Borrego-Ecija, Sergi, Bras, Jose, Bruffaerts, Rose, Caroppo, Paola, Cash, David, Castelo-Branco, Miguel, Convery, Rhian, Cope, Thomas, Cosseddu, Maura, Arriba, María De, Fede, Giuseppe Di, Díaz, Zigor, Duro, Diana, Fenoglio, Chiara, Ferrari, Camilla, Ferreira, Carlos, Ferreira, Catarina B., Flanagan, Toby, Fox, Nick, Freedman, Morris, Fumagalli, Giorgio, Gabilondo, Alazne, Gasparotti, Roberto, Gauthier, Serge, Gazzina, Stefano, Giaccone, Giorgio, Gorostidi, Ana, Greaves, Caroline, Guerreiro, Rita, Heller, Carolin, Hoegen, Tobias, Indakoetxea, Begoña, Jelic, Vesna, Jiskoot, Lize, Karnath, Hans-Otto, Keren, Ron, Leitão, Maria João, Lladó, Albert, Lombardi, Gemma, Loosli, Sandra, Maruta, Carolina, Mead, Simon, Meeter, Lieke, Miltenberger, Gabriel, Minkelen, Rick Van, Mitchell, Sara, Moore, Katrina M, Nacmias, Benedetta, Neason, Mollie, Nicholas, Jennifer, Öijerstedt, Linn, Olives, Jaume, Ourselin, Sebastien, Padovani, Alessandro, Panman, Jessica, Papma, Janne, Peakman, Georgia, Piaceri, Irene, Pievani, Michela, Pijnenburg, Yolande, Polito, Cristina, Premi, Enrico, Prioni, Sara, Prix, Catharina, Rademakers, Rosa, Redaelli, Veronica, Rittman, Tim, Rogaeva, Ekaterina, Rosa-Neto, Pedro, Rossi, Giacomina, Rossor, Martin, Santiago, Beatriz, Scarpini, Elio, Schönecker, Sonja, Semler, Elisa, Shafei, Rachelle, Shoesmith, Christen, Tábuas-Pereira, Miguel, Tainta, Mikel, Taipa, Ricardo, Tang-Wai, David, Thomas, David L, Thonberg, Hakan, Timberlake, Carolyn, Tiraboschi, Pietro, Todd, Emily, Vandamme, Philip, Vandenbulcke, Mathieu, Veldsman, Michele, Verdelho, Ana, Villanua, Jorge, Warren, Jason, Wilke, Carlo, Woollacott, Ione, Wlasich, Elisabeth, Zetterberg, Henrik, Zulaica, Miren, Neurology, Amsterdam Neuroscience - Neurodegeneration, Repositório da Universidade de Lisboa, Manera, Ana L [0000-0003-1639-6858], Dadar, Mahsa [0000-0003-4008-2672], Van Swieten, John Cornelis [0000-0001-6278-6844], Borroni, Barbara [0000-0001-9340-9814], Galimberti, Daniela [0000-0002-9284-5953], Rowe, James Benedict [0000-0001-7216-8679], Finger, Elizabeth [0000-0003-4461-7427], Otto, Markus [0000-0002-6647-5944], Rohrer, Jonathan Daniel [0000-0002-6155-8417], Ducharme, Simon [0000-0002-7309-1113], Apollo - University of Cambridge Repository, and Clinical Genetics
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medicine.medical_specialty ,Audiology ,Cross-validation ,03 medical and health sciences ,0302 clinical medicine ,Text mining ,Cognitive neurology ,Neuroimaging ,SDG 3 - Good Health and Well-being ,Medicine ,ddc:610 ,030304 developmental biology ,0303 health sciences ,business.industry ,Semantic fluency ,medicine.disease ,3. Good health ,Random forest ,Psychiatry and Mental health ,Cohort ,Surgery ,Neurology (clinical) ,Differential diagnosis ,business ,030217 neurology & neurosurgery ,Frontotemporal dementia - Abstract
© Author(s) (or their employer(s)) 2021. No commercial re-use. See rights and permissions. Published by BMJ., Introduction: Structural brain imaging is paramount for the diagnosis of behavioural variant of frontotemporal dementia (bvFTD), but it has low sensitivity leading to erroneous or late diagnosis. Methods: A total of 515 subjects from two different bvFTD cohorts (training and independent validation cohorts) were used to perform voxel-wise morphometric analysis to identify regions with significant differences between bvFTD and controls. A random forest classifier was used to individually predict bvFTD from deformation-based morphometry differences in isolation and together with semantic fluency. Tenfold cross validation was used to assess the performance of the classifier within the training cohort. A second held-out cohort of genetically confirmed bvFTD cases was used for additional validation. Results: Average 10-fold cross-validation accuracy was 89% (82% sensitivity, 93% specificity) using only MRI and 94% (89% sensitivity, 98% specificity) with the addition of semantic fluency. In the separate validation cohort of definite bvFTD, accuracy was 88% (81% sensitivity, 92% specificity) with MRI and 91% (79% sensitivity, 96% specificity) with added semantic fluency scores. Conclusion: Our results show that structural MRI and semantic fluency can accurately predict bvFTD at the individual subject level within a completely independent validation cohort coming from a different and independent database., Data collection and sharing for this project was funded by the Frontotemporal Lobar Degeneration Neuroimaging Initiative (National Institutes of Health Grant R01 AG032306). The study is coordinated through the University of California, San Francisco, Memory and Aging Center. FTLDNI data are disseminated by the Laboratory for Neuro Imaging at the University of Southern California. Brain scan acquisition at the McConnell Brain Imaging was supported by the Brain Canada Foundation with support from Health Canada and the Canada Foundation for Innovation (CFI Project 34874). This work was supported by Italian Ministry of Health (CoEN015 and Ricerca Corrente).
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- 2021
17. The inner fluctuations of the brain in presymptomatic Frontotemporal Dementia: The chronnectome fingerprint
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Premi, Enrico, Calhoun, Vince D, Galimberti, Daniela, Panman, Jessica, Papma, Janne, Patzig, Maximilian, Pievani, Michela, Prioni, Sara, Prix, Catharina, Rademakers, Rosa, Redaelli, Veronica, Rittman, Tim, Rogaeva, Ekaterina, Sanchez-Valle, Raquel, Rosa-Neto, Pedro, Rossi, Giacomina, Rossor, Martin, Santiago, Beatriz, Scarpini, Elio, Semler, Elisa, Shafei, Rachelle, Shoesmith, Christen, Tábuas-Pereira, Miguel, Tainta, Mikel, Laforce, Robert, Tang-Wai, David, Thomas, David L, Thonberg, Hakan, Timberlake, Carolyn, Tiraboschi, Pietro, Vandamme, Philip, Vandenbulcke, Mathieu, Veldsman, Michele, Verdelho, Ana, Villanua, Jorge, Moreno, Fermin, Warren, Jason, Wilke, Carlo, Zetterberg, Henrik, Zulaica, Miren, Synofzik, Matthis, Graff, Caroline, Masellis, Mario, Tartaglia, Maria Carmela, Rowe, James, Vandenberghe, Rik, Diano, Matteo, Finger, Elizabeth, Tagliavini, Fabrizio, de Mendonça, Alexandre, Santana, Isabel, Butler, Chris, Ducharme, Simon, Gerhard, Alex, Danek, Adrian, Levin, Johannes, Otto, Markus, Gazzina, Stefano, Frisoni, Giovanni, Cappa, Stefano, Sorbi, Sandro, Padovani, Alessandro, Rohrer, Jonathan D, Borroni, Barbara, Genetic FTD Initiative, GENFI, Almeida, Maria Rosario, Anderl-Straub, Sarah, Andersson, Christin, Cosseddu, Maura, Antonell, Anna, Arighi, Andrea, Balasa, Mircea, Barandiaran, Myriam, Bargalló, Nuria, Bartha, Robart, Bender, Benjamin, Benussi, Luisa, Binetti, Giuliano, Black, Sandra, Alberici, Antonella, Bocchetta, Martina, Borrego-Ecija, Sergi, Bras, Jose, Bruffaerts, Rose, Caroppo, Paola, Cash, David, Castelo-Branco, Miguel, Convery, Rhian, Cope, Thomas, de Arriba, María, Archetti, Silvana, Di Fede, Giuseppe, Díaz, Zigor, Dick, Katrina M, Duro, Diana, Fenoglio, Chiara, Ferreira, Carlos, Ferreira, Catarina B, Flanagan, Toby, Fox, Nick, Freedman, Morris, Paternicò, Donata, Fumagalli, Giorgio, Gabilondo, Alazne, Gauthier, Serge, Ghidoni, Roberta, Giaccone, Giorgio, Gorostidi, Ana, Greaves, Caroline, Guerreiro, Rita, Heller, Carolin, Hoegen, Tobias, Gasparotti, Roberto, Indakoetxea, Begoña, Jelic, Vesna, Jiskoot, Lize, Karnath, Hans-Otto, Keren, Ron, Leitão, Maria João, Lladó, Albert, Lombardi, Gemma, Loosli, Sandra, Maruta, Carolina, van Swieten, John, Mead, Simon, Meeter, Lieke, Miltenberger, Gabriel, van Minkelen, Rick, Mitchell, Sara, Nacmias, Benedetta, Neason, Mollie, Nicholas, Jennifer, Öijerstedt, Linn, Olives, Jaume, Rowe, James [0000-0001-7216-8679], Apollo - University of Cambridge Repository, Neurology, National Institutes of Health (US), National Science Foundation (US), Wellcome Trust, and Repositório da Universidade de Lisboa
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Male ,Time Factors ,MOTION ,Gene mutation ,physiopathology [Frontotemporal Dementia] ,methods [Connectome] ,0302 clinical medicine ,C9orf72 ,physiopathology [Nerve Net] ,BEHAVIORAL VARIANT ,Medicine ,genetics [Frontotemporal Dementia] ,11 Medical and Health Sciences ,dult Connectome/*methods Female Frontotemporal Dementia/diagnostic imaging/genetics/*physiopathology Heterozygote Humans Magnetic Resonance Imaging Male Middle Aged Nerve Net/diagnostic imaging/*physiopathology *Prodromal Symptoms Time Factors C9orf72 Chronnectome Dynamic brain functional connectivity Frontotemporal dementia Granulin Microtuble associate protein tau Mutation resting-state fMRI ,medicine.diagnostic_test ,Radiology, Nuclear Medicine & Medical Imaging ,05 social sciences ,Genetic FTD Initiative, GENFI ,Middle Aged ,Magnetic Resonance Imaging ,Demência Frontotemporal ,17 Psychology and Cognitive Sciences ,DYNAMIC FUNCTIONAL CONNECTIVITY ,Chronnectome ,Dynamic brain functional connectivity ,Frontotemporal dementia ,Granulin ,Microtuble associate protein tau ,Mutation ,resting-state fMRI ,Adult ,Connectome ,Female ,Frontotemporal Dementia ,Heterozygote ,Humans ,Nerve Net ,Prodromal Symptoms ,Neurology ,SENSITIVITY ,Life Sciences & Biomedicine ,Cognitive Neuroscience ,Neuroimaging ,FREQUENCY ,diagnostic imaging [Frontotemporal Dementia] ,Article ,050105 experimental psychology ,03 medical and health sciences ,mental disorders ,0501 psychology and cognitive sciences ,LOBAR DEGENERATION ,ddc:610 ,Dynamic functional connectivity ,RESTING-STATE NETWORKS ,Neurology & Neurosurgery ,Science & Technology ,Resting state fMRI ,SUBJECT ,diagnostic imaging [Nerve Net] ,business.industry ,Neurosciences ,medicine.disease ,FMRI DATA ,PATTERNS ,Neurosciences & Neurology ,business ,Functional magnetic resonance imaging ,Neuroscience ,030217 neurology & neurosurgery - Abstract
© 2019 Published by Elsevier Inc. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/), Frontotemporal Dementia (FTD) is preceded by a long period of subtle brain changes, occurring in the absence of overt cognitive symptoms, that need to be still fully characterized. Dynamic network analysis based on resting-state magnetic resonance imaging (rs-fMRI) is a potentially powerful tool for the study of preclinical FTD. In the present study, we employed a "chronnectome" approach (recurring, time-varying patterns of connectivity) to evaluate measures of dynamic connectivity in 472 at-risk FTD subjects from the Genetic Frontotemporal dementia research Initiative (GENFI) cohort. We considered 249 subjects with FTD-related pathogenetic mutations and 223 mutation non-carriers (HC). Dynamic connectivity was evaluated using independent component analysis and sliding-time window correlation to rs-fMRI data, and meta-state measures of global brain flexibility were extracted. Results show that presymptomatic FTD exhibits diminished dynamic fluidity, visiting less meta-states, shifting less often across them, and travelling through a narrowed meta-state distance, as compared to HC. Dynamic connectivity changes characterize preclinical FTD, arguing for the desynchronization of the inner fluctuations of the brain. These changes antedate clinical symptoms, and might represent an early signature of FTD to be used as a biomarker in clinical trials., This work was supported in part by grants from the NIH (R01REB020407, P20GM103472), NSF grant 1539067 and the Well- come Trust grant (JBR 103838).
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- 2019
18. A Homozygous Mutation on the HBA1 Gene Coding for Hb Charlieu (HBA1: c.320T>C) Together with β-Thalassemia Trait Results in Severe Hemolytic Anemia
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Klei, Thomas R L, Kheradmand Kia, Sima, Veldthuis, Martijn, Dehbozorgian, Javad, Karimi, Mehran, Geissler, Judy, Sellink, Erica, Thiel-Valkhof, Marijke, Burger, Patrick, van Alphen, Floris, Meijer, Alexander B, van Bruggen, Robin, van Zwieten, Rob, Afd Biomol.Mass Spect. and Proteomics, Biomolecular Mass Spectrometry and Proteomics, Academic Medical Center, AII - Inflammatory diseases, Graduate School, Landsteiner Laboratory, Afd Biomol.Mass Spect. and Proteomics, and Biomolecular Mass Spectrometry and Proteomics
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Male ,α-Thalassemia (α-thal) ,Proband ,Microcytic anemia ,Clinical Biochemistry ,medicine.disease_cause ,03 medical and health sciences ,0302 clinical medicine ,medicine ,Humans ,hemoglobin (Hb) ,Genetics (clinical) ,Mutation ,Chemistry ,Isoelectric focusing ,Homozygote ,Biochemistry (medical) ,Hb Charlieu ,Hematology ,medicine.disease ,anemia ,Molecular biology ,Red blood cell ,Real-time polymerase chain reaction ,medicine.anatomical_structure ,Child, Preschool ,030220 oncology & carcinogenesis ,Erythropoiesis ,β-thalassemia (β-thal) ,erythrocyte ,Hemoglobin ,030215 immunology - Abstract
A 4-year-old boy, a β-thalassemia (β-thal) carrier, with an unexplained severe chronic microcytic anemia was referred to us. Sequencing of the α-globin genes revealed a Hb Charlieu [α106(G13)Leu→Pro, HBA1: c.320T>C, p.Leu107Pro] mutation present on both HBA1 genes. Quantitative polymerase chain reaction (qPCR) confirmed αCharlieu mRNA in the proband and his parents, showing that the mutation does not affect mRNA stability. However, we were unable to detect the Hb Charlieu protein by capillary electrophoresis (CE), reverse phase electrophoresis, cation exchange electrophoresis or isoelectric focusing. Mass spectrometry (MS) allowed us to confirm the presence of the Hb Charlieu peptide in erythrocyte progenitors. These findings suggest that the mutation affects the stability of αCharlieu. As hemoglobin (Hb) heat stability tests showed no abnormalities in erythrocytes, we speculated that αCharlieu is already degraded during red blood cell (RBC) development. The clinical severity in the proband and the presence of new methylene blue-stained aggregates in his reticulocytes indicates that incorporation of αCharlieu destabilizes Hb. This, combined with an excess of unstable free α-globins as the result of β-thal minor, results in severely impaired erythropoiesis and, as a consequence, severe and chronic microcytic anemia in the proband.
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- 2019
19. The diagnostic accuracy of clinical examination for estimating cardiac index in critically ill patients
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Bart, Hiemstra, Geert, Koster, Renske, Wiersema, Yoran M, Hummel, Pim, van der Harst, Harold, Snieder, Ruben J, Eck, Thomas, Kaufmann, Thomas W L, Scheeren, Anders, Perner, Jørn, Wetterslev, Anne Marie G A, de Smet, Frederik, Keus, Iwan C C, van der Horst, Critical Care, Cardiovascular Centre (CVC), Life Course Epidemiology (LCE), Critical care, Anesthesiology, Peri-operative and Emergency medicine (CAPE), Vascular Ageing Programme (VAP), and Microbes in Health and Disease (MHD)
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Male ,cardiac index ,Critical Illness/classification ,intensive care units ,Cardiac index ,specificity ,Hemodynamics/physiology ,Critical Care and Intensive Care Medicine ,physical examination ,hemodynamics ,law.invention ,Cohort Studies ,intensive care afdelingen ,0302 clinical medicine ,PHYSICIANS ,law ,Prospective Studies ,hemodynamica ,Cardiac Output ,Prospective cohort study ,TEMPERATURE ,Ultrasonography ,medicine.diagnostic_test ,TOE ,Critical Care/methods ,ASSOCIATION ,Middle Aged ,Intensive care unit ,OUTPUT ,Sensitivity and specificity ,specificiteit ,Shock (circulatory) ,cardiovascular system ,Female ,medicine.symptom ,ECHOCARDIOGRAPHY ,kritieke ziekte ,Cohort study ,medicine.medical_specialty ,PULMONARY-ARTERY CATHETERIZATION ,SOCIETY ,Physical examination ,Sensitivity and Specificity ,03 medical and health sciences ,Anesthesiology ,Intensive care ,medicine ,Humans ,critical illness ,sensitiviteit ,Prospective study ,Aged ,Intensive Care Units/organization & administration ,Haemodynamics ,business.industry ,lineaire modellen ,030208 emergency & critical care medicine ,ADULTS ,sensitivity ,lichamelijk onderzoek ,critical care ,030228 respiratory system ,kritieke zorg ,Emergency medicine ,Linear Models ,cardiale index ,linear models ,business - Abstract
PURPOSE: Clinical examination is often the first step to diagnose shock and estimate cardiac index. In the Simple Intensive Care Studies-I, we assessed the association and diagnostic performance of clinical signs for estimation of cardiac index in critically ill patients.METHODS: In this prospective, single-centre cohort study, we included all acutely ill patients admitted to the ICU and expected to stay > 24 h. We conducted a protocolised clinical examination of 19 clinical signs followed by critical care ultrasonography for cardiac index measurement. Clinical signs were associated with cardiac index and a low cardiac index (RESULTS: We included 1075 patients, of whom 783 (73%) had a validated cardiac index measurement. In multivariable regression, respiratory rate, heart rate and rhythm, systolic and diastolic blood pressure, central-to-peripheral temperature difference, and capillary refill time were statistically independently associated with cardiac index, with an overall R2 of 0.30 (98.5% CI 0.25-0.35). A low cardiac index was observed in 280 (36%) patients. Sensitivities and positive and negative predictive values were below 90% for all signs. Specificities above 90% were observed only for 110/280 patients, who had atrial fibrillation, systolic blood pressures 4.5 s, or skin mottling over the knee.CONCLUSIONS: Seven out of 19 clinical examination findings were independently associated with cardiac index. For estimation of cardiac index, clinical examination was found to be insufficient in multivariable analyses and in diagnostic accuracy tests. Additional measurements such as critical care ultrasonography remain necessary.
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- 2019
20. Education modulates brain maintenance in presymptomatic frontotemporal dementia
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Gazzina, Stefano, Grassi, Mario, Laforce, Robert Jr, Pijnenburg, Yolande, Prioni, Sara, Prix, Catharina, Rademakers, Rosa, Redaelli, Veronica, Rittman, Tim, Rogaeva, Ekaterina, Rosa-Neto, Pedro, Rossi, Giacomina, Rossor, Martin, Moreno, Fermin, Santiago, Beatriz, Scarpini, Elio, Semler, Elisa, Shafei, Rachelle, Shoesmith, Christen, Tábuas-Pereira, Miguel, Tainta, Mikel, Tang-Wai, David, Thomas, David L, Thonberg, Hakan, Synofzik, Matthis, Timberlake, Carolyn, Tiraboschi, Pietro, Vandamme, Philip, Vandenbulcke, Mathieu, Veldsman, Michele, Verdelho, Ana, Villanua, Jorge, Wilke, Carlo, Zetterberg, Henrik, Zulaica, Miren, Graff, Caroline, Masellis, Mario, Tartaglia, Maria Carmela, Rowe, James B, Vandenberghe, Rik, Finger, Elizabeth, Tagliavini, Fabrizio, Premi, Enrico, de Mendonça, Alexandre, Santana, Isabel, Butler, Christopher R, Ducharme, Simon, Gerhard, Alex, Danek, Adrian, Levin, Johannes, Otto, Markus, Frisoni, Giovanni, Sorbi, Sandro, Cosseddu, Maura, Padovani, Alessandro, Rohrer, Jonathan D, Borroni, Barbara, Genetic FTD Initiative, GENFI, Almeida, Maria Rosario, Anderl-Straub, Sarah, Andersson, Christin, Antonell, Anna, Arighi, Andrea, Balasa, Mircea, Alberici, Antonella, Barandiaran, Myriam, Bargalló, Nuria, Bartha, Robart, Bender, Benjamin, Benussi, Luisa, Binetti, Giuliano, Black, Sandra, Bocchetta, Martina, Borrego-Ecija, Sergi, Bras, Jose, Archetti, Silvana, Bruffaerts, Rose, Caroppo, Paola, Cash, David, Castelo-Branco, Miguel, Convery, Rhian, Cope, Thomas, Arriba, María de, Di Fede, Giuseppe, Díaz, Zigor, Dick, Katrina M, Gasparotti, Roberto, Duro, Diana, Ferreira, Carlos, Ferreira, Catarina B, Flanagan, Toby, Fox, Nick, Freedman, Morris, Fumagalli, Giorgio, Gabilondo, Alazne, Gauthier, Serge, Ghidoni, Roberta, Van Swieten, John, Giaccone, Giorgio, Gorostidi, Ana, Greaves, Caroline, Guerreiro, Rita, Heller, Carolin, Hoegen, Tobias, Indakoetxea, Begoña, Jelic, Vesna, Jiskoot, Lize, Karnath, Hans-Otto, Galimberti, Daniela, Keren, Ron, Leitão, Maria João, Lladó, Albert, Lombardi, Gemma, Loosli, Sandra, Maruta, Carolina, Mead, Simon, Meeter, Lieke, Miltenberger, Gabriel, Minkelen, Rick van, Sanchez-Valle, Raquel, Mitchell, Sara, Nacmias, Benedetta, Neason, Mollie, Nicholas, Jennifer, Öijerstedt, Linn, Olives, Jaume, Panman, Jessica, Papma, Janne, Patzig, Maximilian, Pievani, Michela, and Neurology
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Male ,Longitudinal study ,Audiology ,genetics [Progranulins] ,Progranulins ,0302 clinical medicine ,pathology [Brain] ,pathology [Gray Matter] ,pathology [White Matter] ,Gray Matter ,genetics [Frontotemporal Dementia] ,Cerebrospinal Fluid ,Cognitive reserve ,Principal Component Analysis ,0303 health sciences ,Brain ,Cognition ,Organ Size ,Middle Aged ,Mental Status and Dementia Tests ,White Matter ,psychology [Frontotemporal Dementia] ,diagnostic imaging [Cerebrospinal Fluid] ,Psychiatry and Mental health ,medicine.anatomical_structure ,Frontotemporal Dementia ,Educational Status ,Female ,Frontotemporal dementia ,Adult ,medicine.medical_specialty ,tau Proteins ,Grey matter ,diagnostic imaging [Frontotemporal Dementia] ,diagnostic imaging [White Matter] ,03 medical and health sciences ,medicine ,Humans ,Dementia ,Genetic Predisposition to Disease ,ddc:610 ,diagnostic imaging [Brain] ,genetics [C9orf72 Protein] ,Pathological ,030304 developmental biology ,Adult Frontotemporal dementia magnetic resonance imaging graph theory ,Environmental enrichment ,C9orf72 Protein ,business.industry ,diagnostic imaging [Gray Matter] ,medicine.disease ,genetics [tau Proteins] ,Asymptomatic Diseases ,Surgery ,Neurology (clinical) ,business ,030217 neurology & neurosurgery - Abstract
ObjectiveCognitively engaging lifestyles have been associated with reduced risk of conversion to dementia. Multiple mechanisms have been advocated, including increased brain volumes (ie, brain reserve) and reduced disease progression (ie, brain maintenance). In cross-sectional studies of presymptomatic frontotemporal dementia (FTD), higher education has been related to increased grey matter volume. Here, we examine the effect of education on grey matter loss over time.MethodsTwo-hundred twenty-nine subjects at-risk of carrying a pathogenic mutation leading to FTD underwent longitudinal cognitive assessment and T1-weighted MRI at baseline and at 1 year follow-up. The first principal component score of the graph-Laplacian Principal Component Analysis on 112 grey matter region-of-interest volumes was used to summarise the grey matter volume (GMV). The effects of education on cognitive performances and GMV at baseline and on the change between 1 year follow-up and baseline (slope) were tested by Structural Equation Modelling.ResultsHighly educated at-risk subjects had better cognition and higher grey matter volume at baseline; moreover, higher educational attainment was associated with slower loss of grey matter over time in mutation carriers.ConclusionsThis longitudinal study demonstrates that even in presence of ongoing pathological processes, education may facilitate both brain reserve and brain maintenance in the presymptomatic phase of genetic FTD.
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- 2019
21. Improving retention of very old participants in longitudinal research: experiences from the Newcastle 85+ study.
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Karen Davies, Andrew Kingston, Louise Robinson, Joan Hughes, Judith M Hunt, Sally A H Barker, June Edwards, Joanna Collerton, Carol Jagger, and Thomas B L Kirkwood
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Medicine ,Science - Abstract
BackgroundPeople aged 85 and over are often excluded from research on the grounds of being difficult to recruit and problematic to retain. The Newcastle 85+ study successfully recruited a cohort of 854 85-year-olds to detailed health assessment at baseline and followed them up over 3 phases spanning 5 years. This paper describes the effectiveness of its retention strategies.MethodsPrimary retention strategies involved meticulous management of contact information and active maintenance of contact with participants between research visits and between phases of the study. For statistical analysis, data on post-inclusion attrition over the 3 follow-up phases was separated into 'death' and 'withdrawal' categories, with sub-categories 'health' and 'non-health' reasons created for 'withdrawal'. Multinomial logistic regression was used to determine if particular socio-demographic and health characteristics were associated with post-inclusion attrition due to withdrawal at each of the 3 phase-to-phase transition points.ResultsFor both sexes, at successive follow-up phases there was a decrease in attrition due to withdrawal and an increase due to death. Withdrawal was most prevalent between baseline and phase 2. Across the 5 years of the study total post-inclusion (post-baseline) attrition due to death accounted for a 40% (344/854) loss to cohort and total post-inclusion attrition due to withdraw a 19% (166/854) loss to cohort, with health reasons for withdrawal becoming more dominant over time. Adjusting for sex, parsimonious modelling showed only occupational class (National Statistics Socio-economic Classification) to be associated with withdrawal and only between baseline and phase 2 (routine/manual compared to managerial (OR 3.41; 95% CI [1.23 to 9.44]).ConclusionFollowing successful recruitment, we retained a high proportion of participants from a very old age group over 5 years of longitudinal research. No strong predictors of post-inclusion attrition due to withdrawal were found, suggesting the general effectiveness of our retention strategies.
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- 2014
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22. Reactive oxygen species production and mitochondrial dysfunction in white blood cells are not valid biomarkers of ageing in the very old.
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Laura Wiley, Deepthi Ashok, Carmen Martin-Ruiz, Duncan C S Talbot, Joanna Collerton, Andrew Kingston, Karen Davies, Patrick F Chinnery, Michael Catt, Carol Jagger, Thomas B L Kirkwood, and Thomas von Zglinicki
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Medicine ,Science - Abstract
Reliable and valid biomarkers of ageing (BoA) are needed to understand mechanisms, test interventions and predict the timing of adverse health events associated with ageing. Since increased reactive oxygen species (ROS) production and mitochondrial dysfunction are consequences of cellular senescence and may contribute causally to the ageing of organisms, we focused on these parameters as candidate BoA. Superoxide levels, mitochondrial mass and mitochondrial membrane potential in human peripheral blood mononuclear cells (PBMCs) and subpopulations (lymphocytes and monocytes) were measured in participants from the Newcastle 85+ study, a population-based study of the very old (aged 85 years and older). The intra- and inter-assay precision expressed as coefficient of variation (CV) for all parameters was acceptable (3% to 12% and 5 to 22% respectively). All parameters were stable in the short-term (1 week interval) in a sample of control individuals in the PBMCs and lymphocyte subpopulation, however they were unstable in the monocyte subpopulation; this rendered monocytes unreliable for further analysis. There was a significant association between superoxide levels and mitochondrial mass (positive in lymphocytes, p = 0.01) and between superoxide levels and mitochondrial membrane potential (negative in PBMCs, p = 0.01; positive in lymphocytes, p = 0.05). There were also significant associations between superoxide levels and mitochondrial parameters with other markers of oxidative stress-induced cellular senescence (p≤0.04), however some were in the opposite direction to expected. No associations were found between the measured parameters and age-related outcomes, including cognitive impairment, disability, co-morbidity and survival - questioning the validity of these parameters as candidate BoA in the very old.
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- 2014
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23. The contribution of diseases to the male-female disability-survival paradox in the very old: results from the Newcastle 85+ study.
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Andrew Kingston, Karen Davies, Joanna Collerton, Louise Robinson, Rachel Duncan, John Bond, Thomas B L Kirkwood, and Carol Jagger
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Medicine ,Science - Abstract
BackgroundExplanations for the male-female disability-survival paradox - that woman live longer than men but with more disability - include sex differences in diseases and their impact on disability and death. Less is known about the paradox in the very old. We examine sex differences in the presence and impact of disabling and fatal diseases accounting for the male-female disability-survival paradox in very late life.MethodsWe use data from the Newcastle 85+ Study, a cohort of people born in 1921 and all recruited at age 85 in 2006. Participants underwent a health assessment (HA) at baseline, 18 months, 36 months, 60 months, and a review of their GP records (GPRR) at baseline and 36 months. We used multi-state modelling to assess the impact of specific diseases on disability and death. Disability (measured via ADLs/IADLs) was categorised as no disability (difficulty with 0 activities), or disabled (difficulty with one or more activities). Diseases were ascertained from review of general practice records and cognitive impairment which was defined as an sMMSE of 21 or less (from health assessment).ResultsIn participants who had complete HA and GPRR, women had more arthritis (RR = 1.2, 95% CI: 1.1-1.3) and hypertension (RR = 1.2, 95%CI 1.0-1.3), more disability, and were more likely disabled at all follow-ups. From multistate models, women with cerebrovascular disease (HR: 2.6, 95% CI: 2.1-3.4) or respiratory disease (HR: 2.0, 95% CI: 1.4-3.0) were more likely to become disabled than those without but this did not hold for men (sex difference pConclusionThe disability-survival paradox was still evident at age 85 and appears due to sex differences in the types of diseases and their impact on the disability pathway.
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24. The Revised Self-Monitoring Scale detects early impairment of social cognition in genetic frontotemporal dementia within the GENFI cohort
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Franklin, Hannah D, Russell, Lucy L, Jiskoot, Lize, Meeter, Lieke, Miltenberger, Gabriel, van Minkelen, Rick, Mitchell, Sara, Moore, Katrina, Nacmias, Benedetta, Nelson, Annabel, Öijerstedt, Linn, Olives, Jaume, Ourselin, Sebastien, Moreno, Fermin, Padovani, Alessandro, Panman, Jessica, Papma, Janne M, Pijnenburg, Yolande, Polito, Cristina, Premi, Enrico, Prioni, Sara, Prix, Catharina, Rademakers, Rosa, Redaelli, Veronica, Sanchez-Valle, Raquel, Rinaldi, Daisy, Rittman, Tim, Rogaeva, Ekaterina, Rollin, Adeline, Rosa-Neto, Pedro, Rossi, Giacomina, Rossor, Martin, Santiago, Beatriz, Saracino, Dario, Sayah, Sabrina, Borroni, Barbara, Scarpini, Elio, Schönecker, Sonja, Seelaar, Harro, Semler, Elisa, Shafei, Rachelle, Shoesmith, Christen, Swift, Imogen, Tábuas-Pereira, Miguel, Tainta, Mikel, Taipa, Ricardo, Laforce, Robert, Tang-Wai, David, Thomas, David L, Thompson, Paul, Thonberg, Hakan, Timberlake, Carolyn, Tiraboschi, Pietro, Todd, Emily, Van Damme, Philip, Vandenbulcke, Mathieu, Veldsman, Michele, Masellis, Mario, Verdelho, Ana, Villanua, Jorge, Warren, Jason, Wilke, Carlo, Woollacott, Ione, Wlasich, Elisabeth, Zetterberg, Henrik, Zulaica, Miren, Tartaglia, Maria Carmela, Graff, Caroline, Galimberti, Daniela, Rowe, James B, Peakman, Georgia, Finger, Elizabeth, Synofzik, Matthis, Vandenberghe, Rik, de Mendonça, Alexandre, Tagliavini, Fabrizio, Santana, Isabel, Ducharme, Simon, Butler, Chris, Gerhard, Alex, Levin, Johannes, Greaves, Caroline V, Danek, Adrian, Otto, Markus, Sorbi, Sandro, Le Ber, Isabelle, Pasquier, Florence, Rohrer, Jonathan D, Genetic FTD Initiative, GENFI, Afonso, Sónia, Almeida, Maria Rosario, Anderl-Straub, Sarah, Bocchetta, Martina, Andersson, Christin, Antonell, Anna, Archetti, Silvana, Arighi, Andrea, Balasa, Mircea, Barandiaran, Myriam, Bargalló, Nuria, Bartha, Robart, Bender, Benjamin, Benussi, Alberto, Nicholas, Jennifer, Bertoux, Maxime, Bertrand, Anne, Bessi, Valentina, Black, Sandra, Borrego-Ecija, Sergi, Bras, Jose, Brice, Alexis, Bruffaerts, Rose, Camuzat, Agnès, Cañada, Marta, Poos, Jackie, Cantoni, Valentina, Caroppo, Paola, Castelo-Branco, Miguel, Colliot, Olivier, Cope, Thomas, Deramecourt, Vincent, de Arriba, María, Di Fede, Giuseppe, Díez, Alina, Duro, Diana, Convery, Rhian S, Fenoglio, Chiara, Ferrari, Camilla, Ferreira, Catarina B, Fox, Nick, Freedman, Morris, Fumagalli, Giorgio, Funkiewiez, Aurélie, Gabilondo, Alazne, Gasparotti, Roberto, Gauthier, Serge, Cash, David M, Gazzina, Stefano, Giaccone, Giorgio, Gorostidi, Ana, Greaves, Caroline, Guerreiro, Rita, Heller, Carolin, Hoegen, Tobias, Indakoetxea, Begoña, Jelic, Vesna, Karnath, Hans Otto, van Swieten, John, Keren, Ron, Kuchcinski, Gregory, Langheinrich, Tobias, Lebouvier, Thibaud, Leitão, Maria João, Lladó, Albert, Lombardi, Gemma, Loosli, Sandra, Maruta, Carolina, Mead, Simon, Rohrer, Jonathan D. [0000-0002-6155-8417], Apollo - University of Cambridge Repository, Bocchetta, Martina [0000-0003-1814-5024], Rowe, James B [0000-0001-7216-8679], Rohrer, Jonathan D [0000-0002-6155-8417], Neurology, Clinical Psychology, Clinical Genetics, and Repositório da Universidade de Lisboa
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Social Cognition ,Neurology ,Medizin ,RSMS ,PROGRESSION ,Audiology ,genetics [Progranulins] ,0302 clinical medicine ,Progranulins ,Familial ,C9orf72 ,MAPT ,Medicine ,CDR® plus NACC FTLD ,VBM ,genetics [Frontotemporal Dementia] ,11 Medical and Health Sciences ,Socioemotional selectivity theory ,05 social sciences ,Prodromal Stage ,Genetic FTD Initiative, GENFI ,Frontotemporal dementia ,GRN ,C9orf72 Protein ,Humans ,Magnetic Resonance Imaging ,Mutation ,tau Proteins ,Frontotemporal Dementia ,ORBITOFRONTAL CORTEX ,Life Sciences & Biomedicine ,RC321-571 ,medicine.medical_specialty ,Cognitive Neuroscience ,Clinical Neurology ,Neurosciences. Biological psychiatry. Neuropsychiatry ,genetics [Mutation] ,diagnostic imaging [Frontotemporal Dementia] ,050105 experimental psychology ,Temporal lobe ,03 medical and health sciences ,mental disorders ,0501 psychology and cognitive sciences ,ddc:610 ,RC346-429 ,genetics [C9orf72 Protein] ,Science & Technology ,CDR (R) plus NACC FTLD ,business.industry ,Research ,Neurosciences ,medicine.disease ,DYSFUNCTION ,genetics [tau Proteins] ,Orbitofrontal cortex ,Neurology. Diseases of the nervous system ,Neurosciences & Neurology ,Neurology (clinical) ,business ,Insula ,030217 neurology & neurosurgery - Abstract
© The Author(s). 2021. Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data., Background: Although social cognitive dysfunction is a major feature of frontotemporal dementia (FTD), it has been poorly studied in familial forms. A key goal of studies is to detect early cognitive impairment using validated measures in large patient cohorts. Methods: We used the Revised Self-Monitoring Scale (RSMS) as a measure of socioemotional sensitivity in 730 participants from the genetic FTD initiative (GENFI) observational study: 269 mutation-negative healthy controls, 193 C9orf72 expansion carriers, 193 GRN mutation carriers and 75 MAPT mutation carriers. All participants underwent the standardised GENFI clinical assessment including the 'CDR® plus NACC FTLD' scale and RSMS. The RSMS total score and its two subscores, socioemotional expressiveness (EX score) and modification of self-presentation (SP score) were measured. Volumetric T1-weighted magnetic resonance imaging was available from 377 mutation carriers for voxel-based morphometry (VBM) analysis. Results: The RSMS was decreased in symptomatic mutation carriers in all genetic groups but at a prodromal stage only in the C9orf72 (for the total score and both subscores) and GRN (for the modification of self-presentation subscore) groups. RSMS score correlated with disease severity in all groups. The VBM analysis implicated an overlapping network of regions including the orbitofrontal cortex, insula, temporal pole, medial temporal lobe and striatum. Conclusions: The RSMS indexes socioemotional impairment at an early stage of genetic FTD and may be a suitable outcome measure in forthcoming trials., The Dementia Research Centre is supported by Alzheimer’s Research UK, Brain Research Trust and The Wolfson Foundation. This work was supported by the NIHR Queen Square Dementia Biomedical Research Unit, the NIHR UCL/H Biomedical Research Centre and the Leonard Wolfson Experimental Neurology Centre (LWENC) Clinical Research Facility as well as an Alzheimer’s Society grant [AS-PG-16-007]. This work was also supported by the MRC UK GENFI grant [MR/M023664/1], the Italian Ministry of Health (CoEN015 and Ricerca Corrente) and the Canadian Institutes of Health Research as part of a Centres of Excellence in Neurodegeneration grant, a Canadian Institutes of Health Research operating grant, The Bluefield Project and the JPND GENFI-PROX grant [2019-02248]. JDR is supported by an MRC Clinician Scientist Fellowship [MR/M008525/1] and has received funding from the NIHR Rare Disease Translational Research Collaboration [BRC149/NS/MH], the Bluefield Project and the Association for Frontotemporal Degeneration. MB is supported by a Fellowship award from the Alzheimer’s Society, UK [AS-JF-19a-004-517]. JBR is supported by the Wellcome Trust [103838], the Medical Research Council and NIHR Cambridge Biomedical Research Centre. This work was also funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under Germany’s Excellence Strategy within the framework of the Munich Cluster for Systems Neurology [EXC 2145 SyNergy – ID 390857198]. Several authors of this publication are members of the European Reference Network for Rare Neurological Diseases - Project ID No 739510.
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25. Differential early subcortical involvement in genetic FTD within the GENFI cohort
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Bocchetta, Martina, Todd, Emily G, Seelaar, Harro, Meeter, Lieke, Miltenberger, Gabriel, van Minkelen, Rick, Mitchell, Sara, Moore, Katrina, Nacmias, Benedetta, Nelson, Annabel, Nicholas, Jennifer, Öijerstedt, Linn, Olives, Jaume, Borroni, Barbara, Ourselin, Sebastien, Padovani, Alessandro, Panman, Jessica, Papma, Janne M, Pijnenburg, Yolande, Polito, Cristina, Premi, Enrico, Prioni, Sara, Prix, Catharina, Rademakers, Rosa, Galimberti, Daniela, Redaelli, Veronica, Rinaldi, Daisy, Rittman, Tim, Rogaeva, Ekaterina, Rollin, Adeline, Rosa-Neto, Pedro, Rossi, Giacomina, Rossor, Martin, Santiago, Beatriz, Saracino, Dario, Sanchez-Valle, Raquel, Sayah, Sabrina, Scarpini, Elio, Schönecker, Sonja, Semler, Elisa, Shafei, Rachelle, Shoesmith, Christen, Swift, Imogen, Tábuas-Pereira, Miguel, Tainta, Mikel, Taipa, Ricardo, Laforce, Robert, Tang-Wai, David, Thompson, Paul, Thonberg, Hakan, Timberlake, Carolyn, Tiraboschi, Pietro, Van Damme, Philip, Vandenbulcke, Mathieu, Veldsman, Michele, Verdelho, Ana, Villanua, Jorge, Moreno, Fermin, Warren, Jason, Wilke, Carlo, Woollacott, Ione, Wlasich, Elisabeth, Zetterberg, Henrik, Zulaica, Miren, Synofzik, Matthis, Graff, Caroline, Masellis, Mario, Carmela Tartaglia, Maria, Peakman, Georgia, Rowe, James B, Vandenberghe, Rik, Finger, Elizabeth, Tagliavini, Fabrizio, de Mendonça, Alexandre, Santana, Isabel, Butler, Chris R, Ducharme, Simon, Gerhard, Alexander, Danek, Adrian, Cash, David M, Levin, Johannes, Otto, Markus, Sorbi, Sandro, Le Ber, Isabelle, Pasquier, Florence, Rohrer, Jonathan D, Initiative, Genetic Frontotemporal dementia, Afonso, Sónia, Rosario Almeida, Maria, Anderl-Straub, Sarah, Convery, Rhian S, Andersson, Christin, Antonell, Anna, Archetti, Silvana, Arighi, Andrea, Balasa, Mircea, Barandiaran, Myriam, Bargalló, Nuria, Bartha, Robart, Bender, Benjamin, Benussi, Alberto, Russell, Lucy L, Bertoux, Maxime, Bertrand, Anne, Bessi, Valentina, Black, Sandra, Borrego-Ecija, Sergi, Bras, Jose, Brice, Alexis, Bruffaerts, Rose, Camuzat, Agnès, Cañada, Marta, Thomas, David L, Cantoni, Valentina, Caroppo, Paola, Castelo-Branco, Miguel, Colliot, Olivier, Cope, Thomas, Deramecourt, Vincent, de Arriba, María, Di Fede, Giuseppe, Díez, Alina, Duro, Diana, Eugenio Iglesias, Juan, Fenoglio, Chiara, Ferrari, Camilla, Ferreira, Catarina B, Fox, Nick, Freedman, Morris, Fumagalli, Giorgio, Funkiewiez, Aurélie, Gabilondo, Alazne, Gasparotti, Roberto, Gauthier, Serge, van Swieten, John C, Gazzina, Stefano, Giaccone, Giorgio, Gorostidi, Ana, Greaves, Caroline, Guerreiro, Rita, Heller, Carolin, Hoegen, Tobias, Indakoetxea, Begoña, Jelic, Vesna, Karnath, Hans Otto, Jiskoot, Lize C, Keren, Ron, Kuchcinski, Gregory, Langheinrich, Tobias, Lebouvier, Thibaud, João Leitão, Maria, Lladó, Albert, Lombardi, Gemma, Loosli, Sandra, Maruta, Carolina, Mead, Simon, Neurology, Amsterdam Neuroscience - Neurodegeneration, Alzheimer's Research UK, Alzheimer Society, Brain Research UK, Wolfson Foundation, National Institute for Health Research (UK), University College London, Dementia Research Institute (UK), Medical Research Council (UK), Ministero della Salute, Canadian Institutes of Health Research, NVIDIA Corporation, Association for Frontotemporal Degeneration (US), European Research Council, European Commission, National Institutes of Health (US), Wellcome Trust, German Research Foundation, Munich Cluster for Systems Neurology, Repositório da Universidade de Lisboa, Clinical Genetics, Clinical Psychology, Genetic Frontotemporal dementia Initiative (GENFI), Rowe, James [0000-0001-7216-8679], and Apollo - University of Cambridge Repository
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Pathology ,SEGMENTATION ,Medizin ,Hippocampus ,Presymptomatic stage ,genetics [Progranulins] ,Progranulins ,0302 clinical medicine ,Limbic system ,Basal ganglia ,BRAIN ATROPHY ,skin and connective tissue diseases ,genetics [Frontotemporal Dementia] ,05 social sciences ,Subiculum ,Regular Article ,DEGENERATION ,Magnetic Resonance Imaging ,3. Good health ,Brain volumetry ,medicine.anatomical_structure ,Neurology ,Frontotemporal Dementia ,MRI imaging ,Life Sciences & Biomedicine ,Frontotemporal dementia ,medicine.medical_specialty ,Cognitive Neuroscience ,Computer applications to medicine. Medical informatics ,Thalamus ,R858-859.7 ,Prodromal Symptoms ,Neuroimaging ,tau Proteins ,genetics [Mutation] ,Grey matter ,Biology ,diagnostic imaging [Frontotemporal Dementia] ,Genetic frontotemporal dementia ,050105 experimental psychology ,Temporal lobe ,03 medical and health sciences ,mental disorders ,medicine ,Humans ,0501 psychology and cognitive sciences ,Radiology, Nuclear Medicine and imaging ,ddc:610 ,PROGRANULIN ,RC346-429 ,genetics [C9orf72 Protein] ,Science & Technology ,C9orf72 Protein ,PATHWAYS ,FRONTOTEMPORAL DEMENTIA ,C9ORF72 MUTATION ,medicine.disease ,Atrophy ,Mutation ,PATHOLOGY ,genetics [tau Proteins] ,nervous system ,Neurosciences & Neurology ,sense organs ,Neurology. Diseases of the nervous system ,Neurology (clinical) ,TAU ,NEUROPATHOLOGY ,030217 neurology & neurosurgery - Abstract
© 2021 The Author(s). Published by Elsevier Inc. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/), Background: Studies have previously shown evidence for presymptomatic cortical atrophy in genetic FTD. Whilst initial investigations have also identified early deep grey matter volume loss, little is known about the extent of subcortical involvement, particularly within subregions, and how this differs between genetic groups. Methods: 480 mutation carriers from the Genetic FTD Initiative (GENFI) were included (198 GRN, 202 C9orf72, 80 MAPT), together with 298 non-carrier cognitively normal controls. Cortical and subcortical volumes of interest were generated using automated parcellation methods on volumetric 3 T T1-weighted MRI scans. Mutation carriers were divided into three disease stages based on their global CDR® plus NACC FTLD score: asymptomatic (0), possibly or mildly symptomatic (0.5) and fully symptomatic (1 or more). Results: In all three groups, subcortical involvement was seen at the CDR 0.5 stage prior to phenoconversion, whereas in the C9orf72 and MAPT mutation carriers there was also involvement at the CDR 0 stage. In the C9orf72 expansion carriers the earliest volume changes were in thalamic subnuclei (particularly pulvinar and lateral geniculate, 9-10%) cerebellum (lobules VIIa-Crus II and VIIIb, 2-3%), hippocampus (particularly presubiculum and CA1, 2-3%), amygdala (all subregions, 2-6%) and hypothalamus (superior tuberal region, 1%). In MAPT mutation carriers changes were seen at CDR 0 in the hippocampus (subiculum, presubiculum and tail, 3-4%) and amygdala (accessory basal and superficial nuclei, 2-4%). GRN mutation carriers showed subcortical differences at CDR 0.5 in the presubiculum of the hippocampus (8%). Conclusions: C9orf72 expansion carriers show the earliest and most widespread changes including the thalamus, basal ganglia and medial temporal lobe. By investigating individual subregions, changes can also be seen at CDR 0 in MAPT mutation carriers within the limbic system. Our results suggest that subcortical brain volumes may be used as markers of neurodegeneration even prior to the onset of prodromal symptoms., This work was also supported by the MRC UK GENFI grant (MR/M023664/1), the Italian Ministry of Health (CoEN015 and Ricerca Corrente), the Canadian Institutes of Health Research as part of a Centres of Excellence in Neurodegeneration grant, a Canadian Institutes of Health Research operating grant, the Alzheimer's Society grant (AS-PG-16-007), the Bluefield Project and the JPND GENFI-PROX grant (2019-02248). MB is supported by a Fellowship award from the Alzheimer’s Society, UK (AS-JF-19a-004-517). MB’s work was also supported by the UK Dementia Research Institute which receives its funding from DRI Ltd, funded by the UK Medical Research Council, Alzheimer’s Society and Alzheimer’s Research UK. MB acknowledges the support of NVIDIA Corporation with the donation of the Titan V GPU used for part of the analyses in this research. JDR is an MRC Clinician Scientist (MR/M008525/1) and has received funding from the NIHR Rare Diseases Translational Research Collaboration (BRC149/NS/MH), the Bluefield Project and the Association for Frontotemporal Degeneration. JEI is supported by the European Research Council (Starting Grant 677697, project BUNGEE-TOOLS), Alzheimer’s Research UK (ARUK-IRG2019A003) and NIH 1RF1MH123195-01. JBR is funded by the Wellcome Trust (103838) and the National Institute for Health Research Cambridge Biomedical Research Centre. This work was funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under Germany’s Excellence Strategy within the framework of the Munich Cluster for Systems Neurology (EXC 2145 SyNergy – ID 390857198). Several authors of this publication (JCvS, MS, RSV, AD, MO, JDR) are members of the European Reference Network for Rare Neurological Diseases (ERN-RND) - Project ID No 739510.
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26. Characterizing the Clinical Features and Atrophy Patterns of MAPT-Related Frontotemporal Dementia With Disease Progression Modeling
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Young, Alexandra L, Bocchetta, Martina, Seelaar, Harro, Bruffaerts, Rose, Van Damme, Philip, Vandenbulcke, Mathieu, Ferreira, Catarina B, Miltenberger, Gabriel, Maruta, Carolina, Verdelho, Ana, Afonso, Sónia, Taipa, Ricardo, Caroppo, Paola, Moreno, Fermin, Di Fede, Giuseppe, Giaccone, Giorgio, Prioni, Sara, Redaelli, Veronica, Rossi, Giacomina, Tiraboschi, Pietro, Duro, Diana, Almeida, Maria Rosario, Branco, Miguel Castelo, Leitão, Maria João, Sanchez-Valle, Raquel, Pereira, Miguel Tábuas, Santiago, Beatriz, Gauthier, Serge, Neto, Pedro Rosa, Veldsman, Michele, Thompson, Paul, Prix, Catharina, Hoegen, Tobias, Mag Rer Nat, Elisabeth Wlasich, Loosli, Sandra, Borroni, Barbara, Schönecker, Sonja, Dr Hum Bio, Elisa Semler, Psych, Dipl, Anderl-Straub, Sarah, Nacmias, Benedetta, Ferrari, Camilla, Polito, Cristina, Lombardi, Gemma, Bessi, Valentina, Laforce, Robert, Masellis, Mario, Tartaglia, Maria Carmela, Graff, Caroline, Galimberti, Daniela, Rowe, James B, Russell, Lucy L, Finger, Elizabeth, Synofzik, Matthis, Vandenberghe, Rik, de Mendonça, Alexandre, Tagliavini, Fabrizio, Santana, Isabel, Ducharme, Simon, Butler, Chris, Gerhard, Alex, Levin, Johannes, Convery, Rhian S, Danek, Adrian, Otto, Markus, Sorbi, Sandro, Williams, Steven C R, Alexander, Daniel C, Rohrer, Jonathan D, Initiative, Genetic FTD, Rossor, Martin N, Fox, Nick C, Warren, Jason D, Peakman, Georgia, Woollacott, Ione, Shafei, Rachelle, Heller, Carolin, Swift, Imogen J, Moore, Katrina, Guerreiro, Rita, Bras, Jose, Thomas, David L, Nicholas, Jennifer, Mead, Simon, Todd, Emily, Meeter, Lieke, Panman, Jessica, Papma, Janne M, Poos, Jackie, van Minkelen, Rick, Pijnenburg, Yolande, Barandiaran, Myriam, Indakoetxea, Begoña, Gabilondo, Alazne, Tainta, Mikel, Cash, David M, de Arriba, María, Gorostidi, Ana, Zulaica, Miren, Villanua, Jorge, Díaz, Zigor, Borrego-Ecija, Sergi, Olives, Jaume, Lladó, Albert, Balasa, Mircea, Antonell, Anna, Greaves, Caroline V, Bargalló, Nuria, Premi, Enrico, Cosseddu, Maura, Gazzina, Stefano, Padovani, Alessandro, Gasparotti, Roberto, Archetti, Silvana, Black, Sandra, Mitchell, Sara, Rogaeva, Ekaterina, van Swieten, John, Freedman, Morris, Keren, Ron, Tang-Wai, David, Öijerstedt, Linn, Andersson, Christin, Jelic, Vesna, Thonberg, Hakan, Arighi, Andrea, Fenoglio, Chiara, Scarpini, Elio, Jiskoot, Lize, Fumagalli, Giorgio, Cope, Thomas, Timberlake, Carolyn, Rittman, Timothy, Shoesmith, Christen, Bartha, Robart, Rademakers, Rosa, Wilke, Carlo, Karnath, Hans Otto, Bender, Benjamin, Young, Alexandra L [0000-0002-7772-781X], Todd, Emily [0000-0003-1551-5691], Cash, David M [0000-0001-7833-616X], Seelaar, Harro [0000-0003-1989-7527], Laforce, Robert [0000-0002-2031-490X], Galimberti, Daniela [0000-0002-9284-5953], Vandenberghe, Rik [0000-0001-6237-2502], Danek, Adrian [0000-0001-8857-5383], Otto, Markus [0000-0003-4273-4267], Williams, Steven CR [0000-0003-4299-1941], Apollo - University of Cambridge Repository, Genetic FTD Initiative (GENFI), Repositório da Universidade de Lisboa, and Neurology
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Male ,Medizin ,Hippocampus ,volumetric MRI ,frontotemporal dementia ,Machine Learning ,0302 clinical medicine ,pathology [Brain] ,030212 general & internal medicine ,genetics [Frontotemporal Dementia] ,Temporal cortex ,pathology [Atrophy] ,Brain ,Middle Aged ,Magnetic Resonance Imaging ,neuropsychological assessment ,medicine.anatomical_structure ,Frontotemporal Dementia ,Disease Progression ,CHAMELEON ,Female ,methods [Neuroimaging] ,Life Sciences & Biomedicine ,Research Article ,Frontotemporal dementia ,genetics [Atrophy] ,Adult ,Ventromedial prefrontal cortex ,Clinical Neurology ,Neuroimaging ,MAPT protein, human ,tau Proteins ,methods [Image Interpretation, Computer-Assisted] ,Biology ,Temporal lobe ,03 medical and health sciences ,Atrophy ,Image Interpretation, Computer-Assisted ,Aged ,Humans ,Mutation ,medicine ,ddc:610 ,Science & Technology ,MUTATIONS ,medicine.disease ,genetics [tau Proteins] ,association studies in genetics ,pathology [Frontotemporal Dementia] ,Neurology (clinical) ,Neurosciences & Neurology ,Neuroscience ,Insula ,030217 neurology & neurosurgery ,Executive dysfunction - Abstract
Copyright © 2021 The Author(s). Published by Wolters Kluwer Health, Inc. on behalf of the American Academy of Neurology. This is an open access article distributed under the terms of the Creative Commons Attribution License 4.0 (CC-BY), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited., Background and objective: Mutations in the MAPT gene cause frontotemporal dementia (FTD). Most previous studies investigating the neuroanatomical signature of MAPT mutations have grouped all different mutations together and shown an association with focal atrophy of the temporal lobe. However, the variability in atrophy patterns between each particular MAPT mutation is less well characterised. We aimed to investigate whether there were distinct groups of MAPT mutation carriers based on their neuroanatomical signature. Methods: We applied Subtype and Stage Inference (SuStaIn), an unsupervised machine learning technique that identifies groups of individuals with distinct progression patterns, to characterise patterns of regional atrophy in MAPT-associated FTD within the Genetic FTD Initiative (GENFI) cohort study. Results: 82 MAPT mutation carriers were analysed, the majority of whom had P301L, IVS10+16 or R406W mutations, along with 48 healthy non-carriers. SuStaIn identified two groups of MAPT mutation carriers with distinct atrophy patterns: a 'temporal' subtype in which atrophy was most prominent in the hippocampus, amygdala, temporal cortex and insula, and a 'frontotemporal' subtype in which atrophy was more localised to the lateral temporal lobe and anterior insula, as well as the orbitofrontal and ventromedial prefrontal cortex and anterior cingulate. There was a one-to-one mapping between IVS10+16 and R406W mutations and the temporal subtype, and a near one-to-one mapping between P301L mutations and the frontotemporal subtype. There were differences in clinical symptoms and neuropsychological test scores between subtypes: the temporal subtype was associated with amnestic symptoms, whereas the frontotemporal subtype was associated with executive dysfunction. Discussion: Our results demonstrate that different MAPT mutations give rise to distinct atrophy patterns and clinical phenotype, providing insights into the underlying disease biology, and potential utility for patient stratification in therapeutic trials., The Dementia Research Centre is supported by Alzheimer's Research UK, Brain Research Trust, and The Wolfson Foundation. This work was supported by the NIHR Queen Square Dementia Biomedical Research Unit, the NIHR UCL/H Biomedical Research Centre and the Leonard Wolfson Experimental Neurology Centre (LWENC) Clinical Research Facility, NIHR Biomedical Research Centre at South London and Maudsley NHS Foundation Trust and Kings College London, as well as an Alzheimer's Society grant (AS-PG-16-007). This work was also supported by the MRC UK GENFI grant (MR/M023664/1), the Italian Ministry of Health (CoEN015 and Ricerca Corrente), and the Canadian Institutes of Health Research as part of a Centres of Excellence in Neurodegeneration grant, a Canadian Institutes of Health Research operating grant and The Bluefield Project, and the JPND GENFI-PROX grant (2019-02248). This work was funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under Germany’s Excellence Strategy within the framework of the Munich Cluster for Systems Neurology (EXC 2145 SyNergy ID 390857198). Nonfinancial support was also provided through the European Reference Network for Rare Neurologic Diseases (ERN-RND), 1 of 24 ERNs funded by the European Commission (ERNRND: 3HP 767231).
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27. Impairment of episodic memory in genetic frontotemporal dementia
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Poos, Jackie M, Russell, Lucy L, Pijnenburg, Yolande A L, Bender, Benjamin, Bruffaerts, Rose, Vandamme, Philip, Vandenbulcke, Mathieu, Ferreira, Catarina B, Miltenberger, Gabriel, Maruta, Carolina, Verdelho, Ana, Afonso, Sónia, Taipa, Ricardo, Borroni, Barbara, Caroppo, Paola, Di Fede, Giuseppe, Giaccone, Giorgio, Prioni, Sara, Redaelli, Veronica, Rossi, Giacomina, Tiraboschi, Pietro, Duro, Diana, Almeida, Maria Rosario, Castelo-Branco, Miguel, Sanchez-Valle, Raquel, Leitão, Maria João, Tabuas-Pereira, Miguel, Santiago, Beatriz, Gauthier, Serge, Rosa-Neto, Pedro, Veldsman, Michele, Thompson, Paul, Langheinrich, Tobias, Prix, Catharina, Hoegen, Tobias, Moreno, Fermin, Wlasich, Elisabeth, Loosli, Sandra, Schonecker, Sonja, Anderl-Straub, Sarah, Lombardi, Jolina, Bargalló, Nuria, Benussi, Alberto, Cantoni, Valentina, Bertoux, Maxime, Bertrand, Anne, Laforce, Robert, Brice, Alexis, Camuzat, Agnès, Colliot, Olivier, Sayah, Sabrina, Funkiewiez, Aurélie, Rinaldi, Daisy, Lombardi, Gemma, Nacmias, Benedetta, Saracino, Dario, Bessi, Valentina, Graff, Caroline, Ferrari, Camilla, Cañada, Marta, Deramecourt, Vincent, Kuchcinski, Gregory, Lebouvier, Thibaud, Ourselin, Sebastien, Polito, Cristina, Rollin, Adeline, Synofzik, Matthias, Galimberti, Daniela, Rowe, James B, Masellis, Mario, Peakman, Georgia, Tartaglia, Carmela, Finger, Elizabeth, Vandenberghe, Rik, de Medonça, Alexandre, Tagliavini, Fabrizio, Butler, Chris R, Santana, Isabel, Ber, Isabelle Le, Gerhard, Alex, Ducharme, Simon, Bocchetta, Martina, Levin, Johannes, Danek, Adrian, Otto, Markus, Sorbi, Sandro, Pasquier, Florence, van Swieten, John C, Rohrer, Jonathan D, Genetic FTD Initiative, GENF, Rossor, Martin N, Fox, Nick C, Greaves, Caroline V, Warren, Jason D, Moore, Katrina, Convery, Rhian, Swift, Imogen J, Shafei, Rachelle, Heller, Carolin, Todd, Emily, Bouzigues, Arabella, Cash, David, Woollacott, Ione, Jiskoot, Lize C, Zetterberg, Henrik, Nelson, Annabel, Nicholas, Jennifer, Guerreiro, Rita, Bras, Jose, Thomas, David L, Mead, Simon, Meeter, Lieke, Panman, Jessica, van Minkelen, Rick, van der Ende, Emma L, Barandiaran, Myriam, Indakoetxea, Begoña, Gabilondo, Alazne, Tainta, Mikel, Gorostidi, Ana, Zulaica, Miren, Díez, Alina, Villanua, Jorge, Borrego-Ecija, Sergi, Jaume, Olives, Seelaar, Harro, Lladó, Albert, Balasa, Mircea, Antonell, Anna, Bargallo, Nuria, Premi, Enrico, Gazzina, Stefano, Gasparotti, Roberto, Archetti, Silvana, Black, Sandra, Mitchell, Sara, Papma, Janne M, Rogaeva, Ekaterina, Freedman, Morris, Keren, Ron, Tang-Wai, David, Thonberg, Hakan, Öijerstedt, Linn, Andersson, Christin, Jelic, Vesna, Arighi, Andrea, Fenoglio, Chiara, van den Berg, Esther, Scarpini, Elio, Fumagalli, Giorgio, Cope, Thomas, Timberlake, Carolyn, Rittman, Timothy, Shoesmith, Christen, Bartha, Robart, Rademakers, Rosa, Wilke, Carlo, Karnarth, Hans-Otto, Apollo - University of Cambridge Repository, Repositório da Universidade de Lisboa, Rowe, James [0000-0001-7216-8679], Rowe, James B [0000-0001-7216-8679], Neurology, Amsterdam Neuroscience - Neurodegeneration, Genetic FTD Initiative, GENFI, Radiology & Nuclear Medicine, Neurosurgery, Clinical Psychology, and Clinical Genetics
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cognition ,Medizin ,neuropsychology ,Audiology ,frontotemporal dementia ,DISEASE ,0302 clinical medicine ,COGNITIVE & BEHAVIORAL ASSESSMENT ,C9orf72 ,BEHAVIORAL VARIANT ,CRITERIA ,voxel‐based morphometry ,ALZHEIMERS ,Episodic memory ,0303 health sciences ,episodic memory ,CARRIERS ,frontal lobe ,Psychiatry and Mental health ,Frontal lobe ,Life Sciences & Biomedicine ,Frontotemporal dementia ,temporal lobe ,Cognition ,Executive function ,Genetic disorders ,Neuropsychology ,Temporal lobe ,Voxel-based morphometry ,medicine.medical_specialty ,Clinical Neurology ,DIAGNOSIS ,RESEARCH ARTICLE ,03 medical and health sciences ,SDG 3 - Good Health and Well-being ,medicine ,Memory impairment ,voxel-based morphometry ,genetic disorders ,ddc:610 ,PROGRANULIN ,RC346-429 ,030304 developmental biology ,0604 Genetics ,Science & Technology ,Recall ,business.industry ,RC952-954.6 ,Neurosciences ,PROFILES ,medicine.disease ,executive function ,Geriatrics ,VOLUME ,Genetic FTD Initiative, GENF ,Neurology (clinical) ,Neurology. Diseases of the nervous system ,Neurosciences & Neurology ,business ,1109 Neurosciences ,030217 neurology & neurosurgery - Abstract
© 2021 The Authors. Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring published by Wiley Periodicals, LLC on behalf of Alzheimer's Association. This is an open access article under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made., Introduction: We aimed to assess episodic memory in genetic frontotemporal dementia (FTD) with the Free and Cued Selective Reminding Test (FCSRT). Methods: The FCSRT was administered in 417 presymptomatic and symptomatic mutation carriers (181 chromosome 9 open reading frame 72 [C9orf72], 163 progranulin [GRN], and 73 microtubule-associated protein tau [MAPT]) and 290 controls. Group differences and correlations with other neuropsychological tests were examined. We performed voxel-based morphometry to investigate the underlying neural substrates of the FCSRT. Results: All symptomatic mutation carrier groups and presymptomatic MAPT mutation carriers performed significantly worse on all FCSRT scores compared to controls. In the presymptomatic C9orf72 group, deficits were found on all scores except for the delayed total recall task, while no deficits were found in presymptomatic GRN mutation carriers. Performance on the FCSRT correlated with executive function, particularly in C9orf72 mutation carriers, but also with memory and naming tasks in the MAPT group. FCSRT performance also correlated with gray matter volumes of frontal, temporal, and subcortical regions in C9orf72 and GRN, but mainly temporal areas in MAPT mutation carriers. Discussion: The FCSRT detects presymptomatic deficits in C9orf72- and MAPT-associated FTD and provides important insight into the underlying cause of memory impairment in different forms of FTD., The Dementia Research Centre is supported by Alzheimer's Research UK, Alzheimer's Society, Brain Research UK, and The Wolfson Foundation. This work was supported by the NIHR UCL/H Biomedical Research Centre, the Leonard Wolfson Experimental Neurology Centre (LWENC) Clinical Research Facility, and the UK Dementia Research Institute, which receives its funding from UK DRI Ltd, funded by the UK Medical Research Council, Alzheimer's Society, and Alzheimer's Research UK. J. D. Rohrer is supported by an MRC Clinician Scientist Fellowship (MR/M008525/1) and has received funding from the NIHR Rare Disease Translational Research Collaboration (BRC149/NS/MH). This work was also supported by the MRC UK GENFI grant (MR/M023664/1); the Bluefield Project; the JPND GENFI-PROX grant (2019-02248); the Dioraphte Foundation (grant numbers 09-02-00); the Association for Frontotemporal Dementias Research Grant 2009; The Netherlands Organization for Scientific Research (NWO; grant HCMI 056-13-018); ZonMw Memorabel (Deltaplan Dementie, project numbers 733 050 103 and 733 050 813); JPND PreFrontAls consortium (project number 733051042). J. M. Poos is supported by a Fellowship award from Alzheimer Nederland (WE.15-2019.02). This work was conducted using the MRC Dementias Platform UK (MR/L023784/1 and MR/009076/1). Several authors of this publication are members of the European Reference Network for Rare Neurological Diseases - Project ID No 739510.
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- 2021
28. The Clinical Course of COVID-19 in the Outpatient Setting: A Prospective Cohort Study
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Blair, Paul W, Brown, Diane M, Jang, Minyoung, Antar, Annukka A R, Keruly, Jeanne C, Bachu, Vismaya S, Townsend, Jennifer L, Tornheim, Jeffrey A, Keller, Sara C, Sauer, Lauren, Thomas, David L, Manabe, Yukari C, Cox, Andrea L, Heaney, Chris D, Klein, Sabra L, Mehta, Shruti H, Mostafa, Heba, Pekosz, Andy S, Pisanic, Nora, Smith, L Leigh, Armstrong, Derek T, Azamfirei, Razvan, Barnaba, Brittany, Charles, Curtisha, Church, Taylor, Dai, Weiwei, Fuchs, Joelle, Ganesan, Abhinaya, Hardick, Justin, Holden, Jeffrey, Johnstone, Jaylynn R, Kruczynski, Kate, Kusemiju, Oyinkansola, Lambrou, Anastasia, Li, Lucy, Littlefield, Kirsten, Montana, Manuela Plazas, Park, Han-Sol, Payton, Christine B, Popper, Caroline, Prizzi, Michelle, Reuland, Carolyn J, Sewell, Thelio, Tuchler, Amanda, Ursin, Rebecca L, and Walch, Samantha N
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Pediatrics ,medicine.medical_specialty ,Population ,Vital signs ,Disease ,recovery of function ,Logistic regression ,01 natural sciences ,Major Articles ,03 medical and health sciences ,0302 clinical medicine ,Ambulatory care ,ambulatory care ,Interquartile range ,Internal medicine ,middle aged ,Sore throat ,medicine ,030212 general & internal medicine ,0101 mathematics ,education ,Prospective cohort study ,education.field_of_study ,business.industry ,coronavirus infections/epidemiology ,010102 general mathematics ,Emergency department ,medicine.disease ,Comorbidity ,Confidence interval ,Infectious Diseases ,AcademicSubjects/MED00290 ,Oncology ,Cohort ,treatment outcome ,Chills ,medicine.symptom ,business - Abstract
BackgroundOutpatient COVID-19 has been insufficiently characterized.ObjectiveTo determine the progression of disease and subsequent determinants of hospitalization.DesignA prospective outpatient cohort.SettingOutpatients were recruited by phone between April 21 to June 23, 2020 after receiving outpatient or emergency department testing within a large health network in Maryland, USA.ParticipantsOutpatient adults with positive RT-PCR results for SARS-CoV-2.MeasurementsSymptoms, portable pulse oximeter oxygen saturation (SaO2), heart rate, and temperature were collected by participants on days 0, 3, 7, 14, 21, and 28 after enrollment. Baseline demographics, comorbid conditions were evaluated for risk of subsequent hospitalization using negative binomial, logistic, and random effects logistic regression.ResultsAmong 118 SARS-CoV-2 infected outpatients, the median age was 56.0 years (IQR, 50.0 to 63.0) and 50 (42.4%) were male. Among those reporting active symptoms, the most common symptoms during the first week since symptom onset included weakness/fatigue (67.3%), cough (58.0%), headache (43.8%), and sore throat (34.8%). Participants returned to their usual health a median of 20 days (IQR, 13 to 38) from the symptom onset, and only 65.5% of respondents were at their usual health during the fourth week of illness. Over 28 days, 10.9% presented to the emergency department and 7.6% required hospitalization. Individuals at the same duration of illness had a 6.1 times increased adjusted odds of subsequent hospitalization per every percent decrease in home SaO2(95% confidence interval [CI]: 1.41 to 31.23, p=0.02).LimitationsSeverity and duration of illness may differ in a younger population.ConclusionSymptoms often persisted but uncommonly progressed to hospitalization. Home SaO2might be an important adjunctive tool to identify progression of COVID-19.RegistrationClinicaltrials.gov NCT number:NCT04496466Funding SourceThe Sherrilyn and Ken Fisher Center for Environmental Infectious Diseases Discovery Program and the Johns Hopkins University School of Medicine
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- 2021
29. Self-Collected Oral Fluid Saliva Is Insensitive Compared With Nasal-Oropharyngeal Swabs in the Detection of Severe Acute Respiratory Syndrome Coronavirus 2 in Outpatients
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Manabe, Yukari C, Reuland, Carolyn, Yu, Tong, Azamfirei, Razvan, Hardick, Justin P, Church, Taylor, Brown, Diane M, Sewell, Thelio T, Antar, Annuka, Blair, Paul W, Heaney, Chris D, Pekosz, Andrew, Thomas, David L, Cox, Andrea, Keller, Sara, Keruly, Jeanne, Klein, Sabra, Mehta, Shruti, Mostafa, Heba, Pisanic, Nora, Sauer, Lauren, Tornheim, Jeffrey, Townsend, Jennifer, Armstrong, Derek, Bachu, Vismaya, Barnaba, Brittany, Charles, Curtisha, Dai, Weiwei, Ganesan, Abhinaya, Holden, Jeffrey, Jang, Minyoung, Johnstone, J R, Kruczynski, Kate, Kusemiju, Oyinkansola, Lambrou, Anastasia, Li, Lucy, Littlefield, Kirsten, Park, Han-Sol, Tuchler, Amanda, Montana, Manuela Plazas, Prizzi, Michelle, and Ursin, Rebecca
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0301 basic medicine ,medicine.medical_specialty ,Saliva ,Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) ,030106 microbiology ,medicine.disease_cause ,03 medical and health sciences ,0302 clinical medicine ,Internal medicine ,medicine ,Major Article ,Sampling (medicine) ,030212 general & internal medicine ,Nose ,Coronavirus ,saliva ,business.industry ,SARS-CoV-2 ,COVID-19 ,medicine.anatomical_structure ,AcademicSubjects/MED00290 ,Infectious Diseases ,Specimen collection ,Oncology ,Ambulatory ,Cohort ,outpatient ,business - Abstract
Background Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic control will require widespread access to accurate diagnostics. Salivary sampling circumvents swab supply chain bottlenecks, is amenable to self-collection, and is less likely to create an aerosol during collection compared with the nasopharyngeal swab. Methods We compared real-time reverse-transcription polymerase chain reaction Abbott m2000 results from matched salivary oral fluid (gingival crevicular fluid collected in an Oracol device) and nasal-oropharyngeal (OP) self-collected specimens in viral transport media from a nonhospitalized, ambulatory cohort of coronavirus disease 2019 (COVID-19) patients at multiple time points. These 2 sentences should be at the beginning of the results. Results There were 171 matched specimen pairs. Compared with nasal-OP swabs, 41.6% of the oral fluid samples were positive. Adding spit to the oral fluid percent collection device increased the percent positive agreement from 37.2% (16 of 43) to 44.6% (29 of 65). The positive percent agreement was highest in the first 5 days after symptoms and decreased thereafter. All of the infectious nasal-OP samples (culture positive on VeroE6 TMPRSS2 cells) had a matched SARS-CoV-2 positive oral fluid sample. Conclusions In this study of nonhospitalized SARS-CoV-2-infected persons, we demonstrate lower diagnostic sensitivity of self-collected oral fluid compared with nasal-OP specimens, a difference that was especially prominent more than 5 days from symptom onset. These data do not justify the routine use of oral fluid collection for diagnosis of SARS-CoV-2 despite the greater ease of collection. It also underscores the importance of considering the method of saliva specimen collection and the time from symptom onset especially in outpatient populations.
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- 2020
30. Abnormal pain perception is associated with thalamo-cortico-striatal atrophy in C9orf72 expansion carriers in the GENFI cohort
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Convery, Rhian S, Bocchetta, Martina, Masellis, Mario, Afonso, S., Taipa, R., Caroppo, P., Di Fede, G., Giaccone, G., Prioni, S., Redaelli, V., Rossi, G., Tiraboschi, P., Duro, D., Tartaglia, Maria Carmela, Almeida, M. R., Branco, M. C., Leitão, M. J., Tabuas-Pereira, M., Santiago, B., Gauthier, S., Rosa-Neto, P., Veldsman, M., Flanagan, T., Prix, C., Graff, Caroline, Hoegen, T., Wlasich, E., Loosli, S., Schonecker, S., Semler, E., Anderl-Straub, S., Galimberti, Daniela, Rowe, James B, Finger, Elizabeth, Synofzik, Matthis, Vandenberghe, Rik, de Mendonca, Alexandre, Tagliavini, Fabrizio, Greaves, Caroline V, Santana, Isabel, Ducharme, Simon, Butler, Christopher, Gerhard, Alex, Levin, Johannes, Danek, Adrian, Otto, Markus, Warren, Jason D, Rohrer, Jonathan D, Initiative, Genetic FTD, Moore, Katrina M, Rossor, M. N., Fox, N. C., Woollacott, I. O. C., Shafei, R., Heller, C., Peakman, G., Swift, I., Todd, E., Guerreiro, R., Bras, J., Cash, David M, Thomas, D. L., Nicholas, J., Mead, S., Jiskoot, L., Meeter, L., Panman, J., Papma, J., van Minkelen, R., Pijnenburg, Y., Barandiara, M., Van Swieten, John, Indakoetxea, B., Gabilondo, A., Tainta, M., de Arriba, M., Gorostidi, A., Zulaica, M., Villanua, J., Diaz, Z., Borrego-Ecija, S., Olives, J., Moreno, Fermin, Lladó, A., Balasa, M., Antonell, A., Bargallo, N., Premi, E., Cosseddu, M., Gazzina, S., Padovani, A., Gasparotti, R., Archetti, S., Sánchez-Valle, Raquel, Black, S., Mitchell, S., Rogaeva, E., Freedman, M., Keren, R., Tang-Wai, D., Öijerstedt, L., Andersson, C., Jelic, V., Thonberg, H., Borroni, Barbara, Arighi, A., Fenoglio, C., Scarpini, E., Fumagalli, G., Cope, T., Timberlake, C., Rittman, T., Shoesmith, C., Bartha, R., Rademakers, R., Laforce, Robert, Wilke, C., Karnarth, H-O, Bender, B., Bruffaerts, R., Vandamme, P., Vandenbulcke, M., Ferreira, C. B., Miltenberger, G., Maruta, C., Verdelho, A., Convery, Rhian S [0000-0002-9477-1812], Bocchetta, Martina [0000-0003-1814-5024], Greaves, Caroline V [0000-0002-6446-1960], Moore, Katrina M [0000-0002-4458-8390], Van Swieten, John [0000-0001-6278-6844], Borroni, Barbara [0000-0001-9340-9814], Rowe, James B [0000-0001-7216-8679], Finger, Elizabeth [0000-0003-4461-7427], Otto, Markus [0000-0002-6647-5944], Rohrer, Jonathan D [0000-0002-6155-8417], Apollo - University of Cambridge Repository, Neurology, and Repositório da Universidade de Lisboa
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Male ,diagnostic imaging [Corpus Striatum] ,Medizin ,Somatosensory system ,physiopathology [Frontotemporal Dementia] ,frontotemporal dementia ,Cohort Studies ,genetics [Progranulins] ,0302 clinical medicine ,Progranulins ,Thalamus ,C9orf72 ,Cerebellum ,diagnostic imaging [Cerebral Cortex] ,pathology [Cerebellum] ,Medicine ,pain ,genetics [Frontotemporal Dementia] ,Cerebral Cortex ,0303 health sciences ,DNA Repeat Expansion ,Pain Perception ,Middle Aged ,Magnetic Resonance Imaging ,Temporal Lobe ,Psychiatry and Mental health ,Cohort ,diagnostic imaging [Prefrontal Cortex] ,Female ,Frontotemporal dementia ,genetics [Atrophy] ,Adult ,medicine.medical_specialty ,pathology [Corpus Striatum] ,Pain ,Prefrontal Cortex ,genetics [Perceptual Disorders] ,MAPT protein, human ,tau Proteins ,diagnostic imaging [Frontotemporal Dementia] ,Temporal lobe ,Perceptual Disorders ,03 medical and health sciences ,Atrophy ,pathology [Thalamus] ,Internal medicine ,Humans ,ddc:610 ,genetics [C9orf72 Protein] ,030304 developmental biology ,diagnostic imaging [Perceptual Disorders] ,Aged ,diagnostic imaging [Thalamus] ,C9orf72 Protein ,business.industry ,pathology [Temporal Lobe] ,diagnostic imaging [Atrophy] ,physiopathology [Atrophy] ,medicine.disease ,diagnostic imaging [Cerebellum] ,pathology [Prefrontal Cortex] ,Corpus Striatum ,physiopathology [Perceptual Disorders] ,genetics [tau Proteins] ,diagnostic imaging [Temporal Lobe] ,Logistic Models ,Asymptomatic Diseases ,Mutation ,GRN protein, human ,Surgery ,Orbitofrontal cortex ,pathology [Cerebral Cortex] ,Neurology (clinical) ,C9orf72 protein, human ,business ,030217 neurology & neurosurgery - Abstract
© Author(s) (or their employer(s)) 2020. No commercial re-use. See rights and permissions. published by BMJ., Objective: Frontotemporal dementia (FTD) is typically associated with changes in behaviour, language and movement. However, recent studies have shown that patients can also develop an abnormal response to pain, either heightened or diminished. We aimed to investigate this symptom in mutation carriers within the Genetic FTD Initiative (GENFI). Methods: Abnormal responsiveness to pain was measured in 462 GENFI participants: 281 mutation carriers and 181 mutation-negative controls. Changes in responsiveness to pain were scored as absent (0), questionable or very mild (0.5), mild (1), moderate (2) or severe (3). Mutation carriers were classified into C9orf72 (104), GRN (128) and MAPT (49) groups, and into presymptomatic and symptomatic stages. An ordinal logistic regression model was used to compare groups, adjusting for age and sex. Voxel-based morphometry was performed to identify neuroanatomical correlates of abnormal pain perception. Results: Altered responsiveness to pain was present to a significantly greater extent in symptomatic C9orf72 expansion carriers than in controls: mean score 0.40 (SD 0.71) vs 0.00 (0.04), reported in 29% vs 1%. No significant differences were seen between the other symptomatic groups and controls, or any of the presymptomatic mutation carriers and controls. Neural correlates of altered pain perception in C9orf72 expansion carriers were the bilateral thalamus and striatum as well as a predominantly right-sided network of regions involving the orbitofrontal cortex, inferomedial temporal lobe and cerebellum. Conclusion: Changes in pain perception are a feature of C9orf72 expansion carriers, likely representing a disruption in somatosensory, homeostatic and semantic processing, underpinned by atrophy in a thalamo-cortico-striatal network.
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- 2020
31. An optimal environment for our optimal selves? An autoethnographic account of self-tracking personal exposure to air pollution
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Thomas E. L. Smith and Sarah H. A. Tan
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Self ,media_common.quotation_subject ,05 social sciences ,Geography, Planning and Development ,Control (management) ,0211 other engineering and technologies ,0507 social and economic geography ,Air pollution ,021107 urban & regional planning ,Autoethnography ,02 engineering and technology ,Environmental economics ,medicine.disease_cause ,Transformative learning ,HN Social history and conditions. Social problems. Social reform ,Accountability ,medicine ,Curiosity ,Sociology ,050703 geography ,Air quality index ,media_common ,GE Environmental Sciences - Abstract
This paper presents an autoethnographic study which tracks the experience of routinely monitoring personal exposure to air pollution, using Plume Labs' “Flow” device. While conventional air quality data is provided by static monitoring stations, this paper seeks to understand how new intimate data from portable sensors can influence decision-making and induce behavioural change. This is explored in relation to self-tracking and the “Quantified Self” (QS) movement, recognising that the environment is intrinsically part of the self and the body. Through autoethnography and reflecting on experiences in London and Kuala Lumpur, this paper explores the practicalities of using Flow and its potential as a transformative tool to facilitate societal consciousness and change towards “the optimal self” with minimised exposure to air pollution. Through personal experience and interactions with others, this paper finds that individuals' willingness and ability to attempt to minimise exposure to air pollution is subject to a combination of factors within and beyond one's control. However, while self-tracking does not necessarily translate into attempts to minimise exposure, choosing to be exposed to higher levels of air pollution in certain circumstances becomes an active decision. While some maintained their scepticism of Flow's potential, and others remained apathetic towards air pollution, Flow was found to be particularly effective in cultivating curiosity and consciousness through its facilitation of conversations about air quality. Flow's provision of otherwise absent information and its potential to create a network of better-informed individuals is exciting but uncertain. This paper raises important questions about the role of the QS and such sensor devices in addressing urban air pollution and creating a sense of collective accountability to the environment, moving towards a new goal of “the optimal environment for our optimal selves.”.
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- 2020
32. Hemolysis in the spleen drives erythrocyte turnover
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W F J van IJcken, Thomas R. L. Klei, Sietse Q. Nagelkerke, Martijn Veldthuis, Benjamin Nota, R van Zwieten, J Dalimot, Frederik P. J. Mul, F P J van Alphen, T Rademakers, Edwin Oole, Alexander B. Meijer, Mark Hoogenboezem, Taco W. Kuijpers, Søren K. Moestrup, Pia Svendsen, R. van Bruggen, Landsteiner Laboratory, General Paediatrics, Paediatric Infectious Diseases / Rheumatology / Immunology, ARD - Amsterdam Reproduction and Development, Cell biology, Afd Biomol.Mass Spect. and Proteomics, and Biomolecular Mass Spectrometry and Proteomics
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0301 basic medicine ,Erythrocytes ,CLEARANCE ,Laminin/pharmacology ,Spleen/metabolism ,Biochemistry ,Mice ,RED-BLOOD-CELLS ,0302 clinical medicine ,Erythrocyte Aging/drug effects ,Erythrocyte deformability ,Macrophage ,IN-VIVO ,biology ,Histocytochemistry ,Cell adhesion molecule ,Chemistry ,Haptoglobin ,Erythrocyte Aging ,Hematology ,Hemolysis ,Cell biology ,medicine.anatomical_structure ,Red pulp ,Female ,Erythrocyte Transfusion ,Phagocytosis ,Immunology ,Erythrocytes/drug effects ,PULP MACROPHAGES ,Spleen ,Immunophenotyping ,ADHESION MOLECULES ,PHAGOCYTOSIS ,MECHANISMS ,03 medical and health sciences ,Macrophages/metabolism ,Erythrocyte Deformability ,medicine ,Animals ,Humans ,PHYSIOLOGY ,CONSEQUENCES ,RECEPTOR ,Gene Expression Profiling ,Macrophages ,Erythrocyte Membrane ,Cell Biology ,medicine.disease ,030104 developmental biology ,biology.protein ,Laminin ,Biomarkers ,030215 immunology - Abstract
Red pulp macrophages (RPMs) of the spleen mediate turnover of billions of senescent erythrocytes per day. However, the molecular mechanisms involved in sequestration of senescent erythrocytes, their recognition, and their subsequent degradation by RPMs remain unclear. In this study, we provide evidence that the splenic environment is of substantial importance in facilitating erythrocyte turnover through induction of hemolysis. Upon isolating human spleen RPMs, we noted a substantial lack of macrophages that were in the process of phagocytosing intact erythrocytes. Detailed characterization of erythrocyte and macrophage subpopulations from human spleen tissue led to the identification of erythrocytes that are devoid of hemoglobin, so-called erythrocyte ghosts. By using in vivo imaging and transfusion experiments, we further confirmed that senescent erythrocytes that are retained in the spleen are subject to hemolysis. In addition, we showed that erythrocyte adhesion molecules, which are specifically activated on aged erythrocytes, cause senescent erythrocytes to interact with extracellular matrix proteins that are exposed within the splenic architecture. Such adhesion molecule–driven retention of senescent erythrocytes under low shear conditions was found to result in steady shrinkage of the cell and ultimately resulted in hemolysis. In contrast to intact senescent erythrocytes, the remnant erythrocyte ghost shells were prone to recognition and breakdown by RPMs. These data identify hemolysis as a key event in the turnover of senescent erythrocytes, which alters our current understanding of how erythrocyte degradation is regulated. Key Points: • Aged erythrocytes interact with the extracellular matrix of the spleen, resulting in hemolysis and ghost formation. • Ghost formation enables recognition and phagocytosis of senescent erythrocytes by RPMs.
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- 2020
33. Impact of fire on vegetation, soil microbes and CH4 emission from a degraded tropical peatland
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Sanjay Swarup, Omkar S. Kulkarni, Hasan Akhtar, Rahayu Sukmaria Sukri, Aditya Bandla, Thomas E. L. Smith, Alexander R. Cobb, and Massimo Lupascu
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Hydrology ,Tropical peatland ,medicine ,Environmental science ,medicine.symptom ,Vegetation (pathology) - Abstract
Over the past few decades, tropical peatlands in Southeast Asia have been heavily degraded for multiple land uses, mainly by employing drainage and fire. More importantly, the extent of these degraded areas, primarily covered with ferns and sedges, have increased to almost 10% of the total peatland area in Southeast Asia. In particular, the role of sedges in plant-mediated gas transport to the atmosphere has been recognized as a significant CH4 pathway in northern peatlands, however, in the Tropics this is still unknown. Within this context, we adopted an integrated approach using on-site measurements (CH4, porewater physicochemical characteristics) with genomics to investigate the role of hydrology, vegetation structure, and microbiome on CH4 emission from fire-degraded tropical peatland in Brunei. We found for the first time that in degraded tropical peatlands of Southeast Asia, sedges transported 70-80% of the total CH4 emission and significantly varied with values ranging from 1.22±0.13 to 6.15±0.57 mg CH4 m-2 hr-1, during dry and wet period, respectively. This variation was mainly attributed to water table position along with changes in sedge cover and porewater properties, which created more optimal methanogenesis conditions. Total emissions via this process might increase in the future as the extent of degraded tropical peatlands expands due to more frequent fire episodes and flooding. Further, we used 16S rRNA high-throughput sequencing to investigate the microbiomes in peat profile (above and below water table) as well as rhizo-compartments (Rhizosphere, Rhizoplane, Endosphere) of sedges. We found that the peat profile as well as rhizo-compartments of sedge harboured a higher number of methanogenic archaea in the order Methanomicrobiales and Methanobacteriales, compared to non-burnt and bulk soil, which further explains our findings of higher CH4 emission from degraded tropical peatland areas covered with sedges. These insights into the impact of fire on hydrology, vegetation structure, and microbial community composition on CH4 emissions provide an important basis for future studies on CH4 dynamics in degraded tropical peatland areas.
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- 2020
34. Analysis of brain atrophy and local gene expression in genetic frontotemporal dementia
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Altmann, A., Cash, D. M., Bocchetta, M., Heller, C., Reynolds, R., Moore, K., Convery, R. S., Thomas, D. L., Van Swieten, J. C., Moreno, F., Sanchez-Valle, R., Borroni, B., Laforce, R., Masellis, M., Tartaglia, M. C., Graff, C., Galimberti, D., Rowe, J. B., Finger, E., Synofzik, M., Vandenberghe, R., De Mendonca, A., Tagliavini, F., Santana, I., Ducharme, S., Butler, C. R., Gerhard, A., Levin, J., Danek, A., Frisoni, G., Ghidoni, R., Sorbi, S., Otto, M., Ryten, M., Rohrer, J. D., Greaves, C., Peakman, G., Shafei, R., Todd, E., Rossor, M. N., Warren, J. D., Fox, N. C., Zetterberg, H., Guerreiro, R., Bras, J., Nicholas, J., Mead, S., Jiskoot, L., Meeter, L., Panman, J., Papma, J. M., Van Minkelen, R., Pijnenburg, Y., Barandiaran, M., Indakoetxea, B., Gabilondo, A., Tainta, M., De Arriba, M., Gorostidi, A., Zulaica, M., Villanua, J., Diaz, Z., Borrego-Ecija, S., Olives, J., Llado, A., Balasa, M., Antonell, A., Bargallo, N., Premi, E., Cosseddu, M., Gazzina, S., Padovani, A., Gasparotti, R., Archetti, S., Black, S., Mitchell, S., Rogaeva, E., Freedman, M., Keren, R., Tang-Wai, D., Oijerstedt, L., Andersson, C., Jelic, V., Thonberg, H., Arighi, A., Fenoglio, C., Scarpini, E., Fumagalli, G., Cope, T., Timberlake, C., Rittman, T., Shoesmith, C., Bartha, R., Rademakers, R., Wilke, C., Karnarth, H. -O., Bender, B., Bruffaerts, R., Van Damme, P., Vandenbulcke, M., Ferreira, C. B., Miltenberger, G., Maruta, C., Verdelho, A., Afonso, S., Taipa, R., Caroppo, P., Di Fede, G., Giaccone, G., Prioni, S., Redaelli, V., Rossi, G., Tiraboschi, P., Duro, D., Almeida, M. R., Castelo-Branco, M., Leitao, M. J., Tabuas-Pereira, M., Santiago, B., Gauthier, S., Rosa-Neto, P., Veldsman, M., Thompson, P., Langheinrich, T., Prix, C., Hoegen, T., Wlasich, E., Loosli, S., Schonecker, S., Semler, E., Anderl-Straub, S., Benussi, L., Binetti, G., Pievani, M., Lombardi, G., Nacmias, B., Ferrari, C., Bessi, V., Polito, C., Rowe, James [0000-0001-7216-8679], Apollo - University of Cambridge Repository, Medical Research Council, and Genetic FTD Initiative, GENFI
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0301 basic medicine ,Cell type ,Imaging genetics ,Clinical Neurology ,Medizin ,Biology ,Article ,DISEASE ,03 medical and health sciences ,0302 clinical medicine ,Atrophy ,atrophy ,C9orf72 ,Gene expression ,medicine ,Astrocytes ,Frontotemporal dementia ,ddc:610 ,10. No inequality ,Gene ,030304 developmental biology ,Genetics ,0303 health sciences ,Science & Technology ,TREM2 ,AcademicSubjects/SCI01870 ,Neurodegeneration ,General Engineering ,C9orf72 Gene ,Neurosciences ,astrocytes ,Genetic FTD Initiative, GENFI ,medicine.disease ,C9orf72 Protein ,030104 developmental biology ,gene expression ,imaging genetics ,Original Article ,AcademicSubjects/MED00310 ,Human medicine ,Neurosciences & Neurology ,Life Sciences & Biomedicine ,030217 neurology & neurosurgery - Abstract
Frontotemporal dementia is a heterogeneous neurodegenerative disorder characterized by neuronal loss in the frontal and temporal lobes. Despite progress in understanding which genes are associated with the aetiology of frontotemporal dementia, the biological basis of how mutations in these genes lead to cell loss in specific cortical regions remains unclear. In this work, we combined gene expression data for 16 772 genes from the Allen Institute for Brain Science atlas with brain maps of grey matter atrophy in symptomatic C9orf72, GRN and MAPT mutation carriers obtained from the Genetic Frontotemporal dementia Initiative study. No significant association was seen between C9orf72, GRN and MAPT expression and the atrophy patterns in the respective genetic groups. After adjusting for spatial autocorrelation, between 1000 and 5000 genes showed a negative or positive association with the atrophy pattern within each individual genetic group, with the most significantly associated genes being TREM2, SSBP3 and GPR158 (negative association in C9Orf72, GRN and MAPT respectively) and RELN, MXRA8 and LPA (positive association in C9Orf72, GRN and MAPT respectively). An overrepresentation analysis identified a negative association with genes involved in mitochondrial function, and a positive association with genes involved in vascular and glial cell function in each of the genetic groups. A set of 423 and 700 genes showed significant positive and negative association, respectively, with atrophy patterns in all three maps. The gene set with increased expression in spared cortical regions was enriched for neuronal and microglial genes, while the gene set with increased expression in atrophied regions was enriched for astrocyte and endothelial cell genes. Our analysis suggests that these cell types may play a more active role in the onset of neurodegeneration in frontotemporal dementia than previously assumed, and in the case of the positively associated cell marker genes, potentially through emergence of neurotoxic astrocytes and alteration in the blood–brain barrier, respectively., Altmann et al. investigated the concordance between spatial cortical gene expression in healthy subjects and atrophy patterns in genetic frontotemporal dementia. They found that elevated gene expression of endothelial cell and astrocyte-related genes in regions with atrophy, suggesting a role of these cell types in the aetiology of frontotemporal dementia., Graphical Abstract Graphical Abstract
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- 2020
35. The personal and health service impact of falls in 85 year olds: cross-sectional findings from the Newcastle 85+ cohort study.
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Joanna Collerton, Andrew Kingston, John Bond, Karen Davies, Martin P Eccles, Carol Jagger, Thomas B L Kirkwood, and Julia L Newton
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Medicine ,Science - Abstract
Falls are common in older people and increase in prevalence with advancing old age. There is limited knowledge about their impact in those aged 85 years and older, the fastest growing age group of the population. We investigated the prevalence and impact of falls, and the overlap between falls, dizziness and blackouts, in a population-based sample of 85 year olds.Cross-sectional analysis of baseline data from Newcastle 85+ Cohort Study.Primary care, North-East England.816 men and women aged 85 years.Structured interview with research nurse. Cost-consequence analysis of fall-related healthcare costs.Over 38% (313/816) of participants had fallen at least once in the previous 12 months and of these: 10.6% (33/312) sustained a fracture, 30.1% (94/312) attended an emergency department, and 12.8% (40/312) were admitted to hospital. Only 37.2% (115/309) of fallers had specifically discussed their falls problem with their general practitioner and only 12.7% (39/308) had seen a falls specialist. The average annual healthcare cost per faller was estimated at £202 (inter-quartile range £174-£231) or US$329 ($284-$377). 'Worry about falling' was experienced by 42.0% (128/305) of fallers, 'loss of confidence' by 40.0% (122/305), and 'going out less often' by 25.9% (79/305); each was significantly more common in women, odds ratios (95% confidence interval) for women: men of 2.63 (1.45-4.55), 4.00 (2.27-7.14), and 2.86 (1.54-5.56) respectively. Dizziness and blackouts were reported by 40.0% (318/796) and 6.4% (52/808) of participants respectively. There was marked overlap in the report of falls, dizziness and blackouts.Falls in 85 year olds are very common, associated with considerable psychological and physical morbidity, and have high impact on healthcare services. Wider use of fall prevention services is needed. Significant expansion in acute and preventative services is required in view of the rapid growth in this age group.
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- 2012
- Full Text
- View/download PDF
36. Selection on alleles affecting human longevity and late-life disease: the example of apolipoprotein E.
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Fotios Drenos and Thomas B L Kirkwood
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Medicine ,Science - Abstract
It is often claimed that genes affecting health in old age, such as cardiovascular and Alzheimer diseases, are beyond the reach of natural selection. We show in a simulation study based on known genetic (apolipoprotein E) and non-genetic risk factors (gender, diet, smoking, alcohol, exercise) that, because there is a statistical distribution of ages at which these genes exert their influence on morbidity and mortality, the effects of selection are in fact non-negligible. A gradual increase with each generation of the epsilon2 and epsilon3 alleles of the gene at the expense of the epsilon4 allele was predicted from the model. The epsilon2 allele frequency was found to increase slightly more rapidly than that for epsilon3, although there was no statistically significant difference between the two. Our result may explain the recent evolutionary history of the epsilon 2, 3 and 4 alleles of the apolipoprotein E gene and has wider relevance for genes affecting human longevity.
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- 2010
- Full Text
- View/download PDF
37. Endotoxemia Results in Trapping of Transfused Red Blood Cells in Lungs with Associated Lung Injury
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Nicole P. Juffermans, Marleen Straat, Anita M Tuip, Boukje M. Beuger, Thomas R. L. Klei, Joris J. T. H. Roelofs, Robin van Bruggen, Amsterdam Cardiovascular Sciences, Pathology, Landsteiner Laboratory, Intensive Care Medicine, ACS - Diabetes & metabolism, and ACS - Pulmonary hypertension & thrombosis
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Male ,medicine.medical_specialty ,Erythrocytes ,Lipopolysaccharide ,Spleen ,030204 cardiovascular system & hematology ,Lung injury ,Critical Care and Intensive Care Medicine ,Systemic inflammation ,Rats, Sprague-Dawley ,Andrology ,03 medical and health sciences ,chemistry.chemical_compound ,0302 clinical medicine ,hemic and lymphatic diseases ,medicine ,Animals ,Lung ,Kidney ,business.industry ,hemic and immune systems ,030208 emergency & critical care medicine ,Lung Injury ,Endotoxemia ,Rats ,Red blood cell ,medicine.anatomical_structure ,chemistry ,Emergency Medicine ,Histopathology ,medicine.symptom ,Erythrocyte Transfusion ,business ,circulatory and respiratory physiology - Abstract
Background Red blood cell (RBC) transfusion is associated with organ failure, in particular in the critically ill. We hypothesized that endotoxemia contributes to increased trapping of RBCs in organs. Furthermore, we hypothesized that this effect is more pronounced following transfusion of stored RBCs compared with fresh RBCs. Methods Adult male Sprague-Dawley rats were randomized to receive injection with lipopolysaccharide from E coli or vehicle and transfusion with fresh or stored biotinylated RBCs. After 24 h, the amount of biotinylated RBCs in organs was measured by flow cytometry, as well as the 24-h post-transfusion recovery. Markers of organ injury and histopathology of organs were assessed. Results Endotoxemia resulted in systemic inflammation and organ injury. Following RBC transfusion, donor RBCs were recovered from the lung and kidney of endotoxemic recipients (1.2 [0.8-1.6]% and 2.2 [0.4-4.4]% of donor RBCs respectively), but not from organs of healthy recipients. Trapping of donor RBCs in the lung was associated with increased lung injury, but not with kidney injury. Stored RBCs induced organ injury in the spleen and yielded a lower 24-h post-transfusion recovery, but other effects of storage time were limited. Conclusion Endotoxemia results in an increased percentage of donor RBCs recovered from the lung and kidney, which is associated with lung injury following transfusion.
- Published
- 2017
38. Broadband Silicon-On-Insulator directional couplers using a combination of straight and curved waveguide sections
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Dawn T. H. Tan, Ching Eng Png, Soon Thor Lim, George F. R. Chen, Thomas Y. L. Ang, and Jun Rong Ong
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Multidisciplinary ,Materials science ,Extinction ratio ,business.industry ,Science ,Bandwidth (signal processing) ,Silicon on insulator ,02 engineering and technology ,Article ,Interferometry ,020210 optoelectronics & photonics ,Optics ,Splitter ,Broadband ,0202 electrical engineering, electronic engineering, information engineering ,Power dividers and directional couplers ,Medicine ,business - Abstract
Broadband Silicon-On-Insulator (SOI) directional couplers are designed based on a combination of curved and straight coupled waveguide sections. A design methodology based on the transfer matrix method (TMM) is used to determine the required coupler section lengths, radii, and waveguide cross-sections. A 50/50 power splitter with a measured bandwidth of 88 nm is designed and fabricated, with a device footprint of 20 μm × 3 μm. In addition, a balanced Mach-Zehnder interferometer is fabricated showing an extinction ratio of >16 dB over 100 nm of bandwidth.
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- 2017
39. Longitudinal changes in global and domain specific cognitive function in the very-old: findings from the Newcastle 85+ Study
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Keith Wesnes, Thomas B. L. Kirkwood, Graciela Muniz-Terrera, Joanna Collerton, Brian K. Saxby, Antoneta Granic, Blossom C. M. Stephan, Carol Jagger, and Karen Davies
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Gerontology ,medicine.medical_specialty ,05 social sciences ,Cognition ,medicine.disease ,050105 experimental psychology ,3. Good health ,03 medical and health sciences ,Psychiatry and Mental health ,0302 clinical medicine ,Ageing ,Epidemiology ,medicine ,Dementia ,0501 psychology and cognitive sciences ,Analysis of variance ,Effects of sleep deprivation on cognitive performance ,Geriatrics and Gerontology ,Cognitive decline ,Psychology ,030217 neurology & neurosurgery ,Geriatric psychiatry - Abstract
Objective Ageing is associated with changes in cognition in some, but not all domains. In young–old adults, defined as persons aged 65–84 years, baseline cognitive function has been shown to impact on cognitive trajectories. Whether similar patterns occur in the very-old, defined as persons aged 85 years and over, is not known. Methods Longitudinal changes (5 years' follow-up) in global and domain specific cognitive function including memory, attention and speed were investigated in participants from the Newcastle 85+ Study (n = 845). At baseline, participants were grouped using Mini-Mental State Examination cut-off scores and dementia status into the following: not impaired, mildly impaired or severely impaired/dementia groups. Results Only a limited number of cognitive measures showed significant decline in performance over time. Where observed, change generally occurred only in the severely impaired group. In the severely impaired group, small differences in baseline age were associated with poorer performance over time on most measures. Education was not protective against cognitive decline in any group. Conclusions There are individuals who maintain a high level of cognitive function or only show mild impairments even into their ninth decade of life. This group of successful cognitive agers may provide insight for identifying predictors of cognitive integrity in later life. In individuals with severe impairment, cognitive performance shows significant decline over time, especially in measures of attention and speed. Further work to identify those individuals at highest risk of cognitive decline is necessary to implement early support and intervention strategies in this rapidly expanding age group. © 2017 The Authors. International Journal of Geriatric Psychiatry published by John Wiley & Sons Ltd.
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- 2017
40. Residual pyruvate kinase activity in PKLR-deficient erythroid precursors of a patient suffering from severe haemolytic anaemia
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Thomas R. L. Klei, Judy Geissler, Robin van Bruggen, Mehran Karimi, Sima Kheradmand Kia, Martijn Veldthuis, Rob van Zwieten, Javad Dehbozorgian, Boukje M. Beuger, and Landsteiner Laboratory
- Subjects
Male ,0301 basic medicine ,Thyroid Hormones ,Reticulocytes ,Erythroblasts ,Primary Cell Culture ,Pyruvate Kinase ,Gene Expression ,Pyruvate Metabolism, Inborn Errors ,Biology ,PKM2 ,Consanguinity ,03 medical and health sciences ,Reticulocyte ,Western blot ,medicine ,Humans ,Myeloid Cells ,Glycolysis ,RNA, Messenger ,Child ,Base Sequence ,medicine.diagnostic_test ,Homozygote ,Membrane Proteins ,Cell Differentiation ,Anemia, Hemolytic, Congenital Nonspherocytic ,Hematology ,General Medicine ,medicine.disease ,Molecular biology ,Blot ,Red blood cell ,030104 developmental biology ,medicine.anatomical_structure ,Biochemistry ,Mutation ,Carrier Proteins ,Pyruvate kinase ,Pyruvate kinase deficiency - Abstract
Objective Here, we present a 7-year-old patient suffering from severe haemolytic anaemia. The most common cause of chronic hereditary non-spherocytic haemolytic anaemia is red blood cell pyruvate kinase (PK-R) deficiency. Because red blood cells rely solely on glycolysis to generate ATP, PK-R deficiency can severely impact energy supply and cause reduction in red blood cell lifespan. We determined the underlying cause of the anaemia and investigated how erythroid precursors in the patient survive. Methods PK activity assays, Western blot and Sanger sequencing were employed to determine the underlying cause of the anaemia. Patient erythroblasts were cultured and reticulocytes were isolated to determine PK-R and PKM2 contribution to glycolytic activity during erythrocyte development. Results We found a novel homozygous mutation (c.583G>A) in the PK-R coding gene (PKLR). Although this mutation did not influence PKLR mRNA production, no PK-R protein could be detected in the red blood cells nor in its precursors. In spite of the absence of PK-R, the reticulocytes of the patient exhibited 20% PK activity compared with control. Western blotting revealed that patient erythroid precursors, like controls, express residual PKM2. Conclusions We conclude that PKM2 rescues glycolysis in PK-R-deficient erythroid precursors.
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- 2017
41. Transfusion practice in the non-bleeding critically ill
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de Bruin, Sanne, Scheeren, Thomas W. L., Bakker, Jan, van Bruggen, Robin, Vlaar, Alexander P. J., Antonelli, Massimo, Aubron, Cecile, Cecconi, Maurizio, Dionne, Joanna C., Duranteau, Jacques, Juffermans, Nicole P., de Korte, Dirk, Meier, Jens, Murphy, Gavin, Oczkowski, Simon, Perner, Anders, Walsh, Timothy, Critical care, Anesthesiology, Peri-operative and Emergency medicine (CAPE), Vascular Ageing Programme (VAP), Intensive Care, Graduate School, ACS - Pulmonary hypertension & thrombosis, Landsteiner Laboratory, Intensive Care Medicine, and ACS - Microcirculation
- Subjects
Platelets ,medicine.medical_specialty ,medicine.medical_treatment ,Critical Illness ,Population ,Specialty ,MULTICENTER ,PLATELET TRANSFUSION ,030204 cardiovascular system & hematology ,Critical Care and Intensive Care Medicine ,Red blood cells ,Asymptomatic ,law.invention ,03 medical and health sciences ,Plasma ,0302 clinical medicine ,Randomized controlled trial ,law ,Surveys and Questionnaires ,medicine ,Extracorporeal membrane oxygenation ,Humans ,Blood Transfusion ,030212 general & internal medicine ,education ,Critically ill ,education.field_of_study ,Internet ,business.industry ,Research ,THROMBOCYTOPENIA ,lcsh:Medical emergencies. Critical care. Intensive care. First aid ,Standard of Care ,Guideline ,lcsh:RC86-88.9 ,CARE ,Intensive care unit ,PREVALENCE ,Intensive Care Units ,Platelet transfusion ,Emergency medicine ,Transfusion practice ,medicine.symptom ,business ,REQUIREMENTS - Abstract
Background Over the last decade, multiple large randomized controlled trials have studied alternative transfusion strategies in critically ill patients, demonstrating the safety of restrictive transfusion strategies. Due to the lack of international guidelines specific for the intensive care unit (ICU), we hypothesized that a large heterogeneity in transfusion practice in this patient population exists. The aims of this study were to describe the current transfusion practices and identify the knowledge gaps. Methods An online, anonymous, worldwide survey among ICU physicians was performed evaluating red blood cell, platelet and plasma transfusion practices. Furthermore, the presence of a hospital- or ICU-specific transfusion guideline was asked. Only completed surveys were analysed. Results Nine hundred forty-seven respondents filled in the survey of which 725 could be analysed. Hospital transfusion protocol available in their ICU was reported by 53% of the respondents. Only 29% of respondents used an ICU-specific transfusion guideline. The reported haemoglobin (Hb) threshold for the general ICU population was 7 g/dL (7–7). The highest reported variation in transfusion threshold was in patients on extracorporeal membrane oxygenation or with brain injury (8 g/dL (7.0–9.0)). Platelets were transfused at a median count of 20 × 109 cells/L IQR (10–25) in asymptomatic patients, but at a higher count prior to invasive procedures (p 3, 43% and 57% of the respondents would consider plasma transfusion without any upcoming procedures or prior to a planned invasive procedure, respectively. Finally, doctors with base specialty in anaesthesiology transfused critically ill patients more liberally compared to internal medicine physicians. Conclusion Red blood cell transfusion practice for the general ICU population is restrictive, while for different subpopulations, higher Hb thresholds are applied. Furthermore, practice in plasma and platelet transfusion is heterogeneous, and local transfusion guidelines are lacking in the majority of the ICUs.
- Published
- 2019
42. Disagreement in cardiac output measurements between fourth-generation FloTrac and critical care ultrasonography in patients with circulatory shock
- Author
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Kaufmann, Thomas, Clement, Ramon P., Hiemstra, Bart, Vos, Jaap Jan, Scheeren, Thomas W. L., Keus, Frederik, van der Horst, Iwan C. C., Koster, Geert, Critical care, Anesthesiology, Peri-operative and Emergency medicine (CAPE), Cardiovascular Centre (CVC), and Critical Care
- Subjects
Cardiac output ,medicine.medical_specialty ,Monitoring ,Concordance ,Critical Care and Intensive Care Medicine ,patients ,03 medical and health sciences ,symbols.namesake ,0302 clinical medicine ,heart function ,Internal medicine ,Intensive care ,medicine ,Critical care ultrasonography ,hartfunctie ,Critically ill ,MONITORS ,business.industry ,Research ,lcsh:Medical emergencies. Critical care. Intensive care. First aid ,ACUTE PHYSIOLOGY ,STROKE VOLUME ,030208 emergency & critical care medicine ,Shock ,lcsh:RC86-88.9 ,Stroke volume ,ultrasonography ,Pulse contour analysis ,echografie ,Pearson product-moment correlation coefficient ,critical care ,030228 respiratory system ,kritieke zorg ,Shock (circulatory) ,Circulatory system ,symbols ,Cardiology ,Observational study ,medicine.symptom ,business ,ECHOCARDIOGRAPHY ,patienten - Abstract
Background Cardiac output measurements may inform diagnosis and provide guidance of therapeutic interventions in patients with hemodynamic instability. The FloTrac™ algorithm uses uncalibrated arterial pressure waveform analysis to estimate cardiac output. Recently, a new version of the algorithm has been developed. The aim was to assess the agreement between FloTrac™ and routinely performed cardiac output measurements obtained by critical care ultrasonography in patients with circulatory shock. Methods A prospective observational study was performed in a tertiary hospital from June 2016 to January 2017. Adult critically ill patients with circulatory shock were eligible for inclusion. Cardiac output was measured simultaneously using FloTrac™ with a fourth-generation algorithm (COAP) and critical care ultrasonography (COCCUS). The strength of linear correlation of both methods was determined by the Pearson coefficient. Bland-Altman plot and four-quadrant plot were used to track agreement and trending ability. Result Eighty-nine paired cardiac output measurements were performed in 17 patients during their first 24 h of admittance. COAP and COCCUS had strong positive linear correlation (r2 = 0.60, p
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- 2019
43. Cerebral perfusion changes in presymptomatic genetic frontotemporal dementia: a GENFI study
- Author
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Mutsaerts, H. J. M. M., Mirza, S. S., Petr, J., Thomas, D. L., Cash, D. M., Bocchetta, M., De Vita, E., Metcalfe, A. W. S., Shirzadi, Z., Robertson, A. D., Tartaglia, M. C., Mitchell, S. B., Black, S. E., Freedman, M., Tang-Wai, D., Keren, R., Rogaeva, E., Van Swieten, J., Laforce, R., Tagliavini, F., Borroni, B., Galimberti, D., Rowe, J. B., Graff, C., Frisoni, G. B., Finger, E., Sorbi, S., De Mendonca, A., Rohrer, J. D., Macintosh, B. J., Masellis, M., Andersson, C., Archetti, S., Arighi, A., Benussi, L., Binetti, G., Cosseddu, M., Dick, K. M., Fallstrom, M., Ferreira, C., Fenoglio, C., Fox, N. C., Fumagalli, G., Gazzina, S., Ghidoni, R., Grisoli, M., Jelic, V., Jiskoot, L., Lombardi, G., Maruta, C., Mead, S., Meeter, L., Van Minkelen, R., Nacmias, B., Oijerstedt, L., Ourselin, S., Padovani, A., Panman, J., Pievani, M., Polito, C., Premi, E., Prioni, S., Rademakers, R., Redaelli, V., Rossi, G., Rossor, M. N., Scarpini, E., Thonberg, H., Tiraboschi, P., Verdelho, A., Warren, J. D., Rowe, James [0000-0001-7216-8679], Apollo - University of Cambridge Repository, Neurology, Amsterdam Neuroscience - Neurodegeneration, and Radiology and Nuclear Medicine
- Subjects
0301 basic medicine ,Male ,Pathology ,Tau Proteins/genetics ,cerebral blood flow ,Gene mutation ,Neuropsychological Tests ,Arterial spin labelling ,Frontotemporal Dementia/genetics ,0302 clinical medicine ,Progranulins ,C9orf72 ,Brain ,Middle Aged ,Corrigenda ,Magnetic Resonance Imaging ,Cerebral blood flow ,Cerebrovascular Circulation ,Frontotemporal Dementia ,Female ,arterial spin labelling ,Frontotemporal dementia ,Adult ,medicine.medical_specialty ,Heterozygote ,genetic frontotemporal dementia ,presymptomatic biomarker ,C9orf72 Protein/genetics ,tau Proteins ,Progranulins/genetics ,03 medical and health sciences ,Neuroimaging ,mental disorders ,medicine ,Brain/metabolism ,Dementia ,Humans ,Cerebral perfusion pressure ,Aged ,C9orf72 Protein ,business.industry ,Original Articles ,Voxel-based morphometry ,medicine.disease ,arterial spin labeling ,ddc:616.8 ,Genetic frontotemporal dementia ,Presymptomatic biomarker ,030104 developmental biology ,Cross-Sectional Studies ,Mutation ,Neurology (clinical) ,business ,030217 neurology & neurosurgery ,Cerebrovascular Circulation/genetics - Abstract
Imaging biomarkers are needed to detect early brain changes in presymptomatic carriers harbouring FTD mutations. Using arterial spin labelling-MRI, Mutsaerts, Mirza et al. identify an inverse association between cerebral perfusion in frontotemporoparietal regions and expected age of onset. Cerebral perfusion may be a promising imaging biomarker for presymptomatic genetic FTD., Genetic forms of frontotemporal dementia are most commonly due to mutations in three genes, C9orf72, GRN or MAPT, with presymptomatic carriers from families representing those at risk. While cerebral blood flow shows differences between frontotemporal dementia and other forms of dementia, there is limited evidence of its utility in presymptomatic stages of frontotemporal dementia. This study aimed to delineate the cerebral blood flow signature of presymptomatic, genetic frontotemporal dementia using a voxel-based approach. In the multicentre GENetic Frontotemporal dementia Initiative (GENFI) study, we investigated cross-sectional differences in arterial spin labelling MRI-based cerebral blood flow between presymptomatic C9orf72, GRN or MAPT mutation carriers (n = 107) and non-carriers (n = 113), using general linear mixed-effects models and voxel-based analyses. Cerebral blood flow within regions of interest derived from this model was then explored to identify differences between individual gene carrier groups and to estimate a timeframe for the expression of these differences. The voxel-based analysis revealed a significant inverse association between cerebral blood flow and the expected age of symptom onset in carriers, but not non-carriers. Regions included the bilateral insulae/orbitofrontal cortices, anterior cingulate/paracingulate gyri, and inferior parietal cortices, as well as the left middle temporal gyrus. For all bilateral regions, associations were greater on the right side. After correction for partial volume effects in a region of interest analysis, the results were found to be largely driven by the C9orf72 genetic subgroup. These cerebral blood flow differences first appeared approximately 12.5 years before the expected symptom onset determined on an individual basis. Cerebral blood flow was lower in presymptomatic mutation carriers closer to and beyond their expected age of symptom onset in key frontotemporal dementia signature regions. These results suggest that arterial spin labelling MRI may be a promising non-invasive imaging biomarker for the presymptomatic stages of genetic frontotemporal dementia.
- Published
- 2019
44. Differential interaction between DARC and SDF-1 on erythrocytes and their precursors
- Author
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R. van Bruggen, Simon Tol, Peter C. Ligthart, Francesca Aglialoro, Frederik P. J. Mul, Thomas R. L. Klei, I. M. Seignette, Judy Geissler, E. van den Akker, Academic Medical Center, and Landsteiner Laboratory
- Subjects
0301 basic medicine ,Chemokine ,Stromal cell ,Erythrocytes ,Reticulocytes ,Endothelium ,Molecular biology ,lcsh:Medicine ,Receptors, Cell Surface ,Epitope ,Article ,Substrate Specificity ,03 medical and health sciences ,0302 clinical medicine ,medicine ,Humans ,Progenitor cell ,Receptor ,lcsh:Science ,Multidisciplinary ,biology ,Chemistry ,lcsh:R ,Chemokine CXCL12 ,Cell biology ,030104 developmental biology ,medicine.anatomical_structure ,biology.protein ,lcsh:Q ,Bone marrow ,Antibody ,Chemokines ,Duffy Blood-Group System ,030215 immunology ,Protein Binding - Abstract
The Duffy Antigen Receptor for Chemokines (DARC) is expressed on erythrocytes and on endothelium of postcapillary venules and splenic sinusoids. Absence of DARC on erythrocytes, but not on endothelium, is referred to as the Duffy negative phenotype and is associated with neutropenia. Here we provide evidence that stromal cell-derived factor 1 (SDF-1), the chemokine that restricts neutrophil precursors to the bone marrow, binds to erythrocyte progenitors in a DARC-dependent manner. Furthermore, we show that SDF-1 binding to DARC is dependent on the conformation of DARC, which gradually changes during erythroid development, resulting in the absence of SDF-1 binding to mature erythrocytes. However, SDF-1 binding to erythrocytes was found to be inducible by pre-treating erythrocytes with IL-8 or with antibodies recognizing specific epitopes on DARC. Taken together, these novel findings identify DARC on erythrocyte precursors as a receptor for SDF-1, which may be of interest in beginning to understand the development of neutropenia in situations where DARC expression is limited.
- Published
- 2019
45. 8 Ageing and multi-morbidity
- Author
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Thomas B. L. Kirkwood
- Subjects
education.field_of_study ,Environmental risk ,Ageing ,business.industry ,Population ,Multi morbidity ,Medicine ,Risk factor (computing) ,business ,education ,Demography - Abstract
A growing fraction of the population is living to advanced old age, bringing increased prevalence of a wide range of age-related chronic diseases. Age is much the largest risk factor for a whole spectrum of different diseases, dwarfing the contributions from genetic, lifestyle and environmental risk factors. Furthermore, the fact that so many conditions share ageing as their dominant risk factor means that very old people commonly exhibit extensive multi-morbidity. In terms of underlying mechanisms, we now know that ageing itself is not programmed. On the contrary, our bodies are programmed for survival, but evolutionary considerations mean that there was never reason to invest in the potential for indefinite survival. Consequently, we now understand that ageing is driven by the lifelong accumulation of damage in our cells and organs, and the same is true of age-related, chronic diseases. Thus, there is a huge overlap. Recognition of this common ground between intrinsic ageing and the underlying causes of age-related multi-morbidity offers intriguing opportunities to improve the trajectories of health across our lengthening lifespans.
- Published
- 2018
46. Prevalence and incidence of sarcopenia in the very old: findings from the Newcastle 85+ Study
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Carol Jagger, Avan Aihie Sayer, Thomas B. L. Kirkwood, Richard M Dodds, Karen Davies, and Antoneta Granic
- Subjects
2. Zero hunger ,Gerontology ,business.industry ,Incidence (epidemiology) ,Timed Up and Go test ,Odds ratio ,030204 cardiovascular system & hematology ,musculoskeletal system ,medicine.disease ,3. Good health ,body regions ,03 medical and health sciences ,Grip strength ,0302 clinical medicine ,Physiology (medical) ,Sarcopenia ,Cohort ,Lean body mass ,medicine ,Orthopedics and Sports Medicine ,030212 general & internal medicine ,Risk factor ,business ,human activities - Abstract
Introduction Recognition that an older person has sarcopenia is important because this condition is linked to a range of adverse outcomes. Sarcopenia becomes increasingly common with age, and yet there are few data concerning its descriptive epidemiology in the very old (aged 85 years and above). Our aims were to describe risk factors for sarcopenia and estimate its prevalence and incidence in a British sample of the very old. Methods We used data from two waves (2006/07 and 2009/10) of the Newcastle 85+ Study, a cohort born in 1921 and registered with a Newcastle/North Tyneside general practice. We assessed sarcopenia status using the European Working Group on Sarcopenia in Older People (EWGSOP) definition. Grip strength was measured using a Takei digital dynamometer (Takei Scientific Instruments Ltd., Niigata, Japan), gait speed was calculated from the Timed Up and Go test, and lean mass was estimated using a Tanita-305 body fat analyzer. We used logistic regression to examine associations between risk factors for prevalent sarcopenia at baseline and incident sarcopenia at follow-up. Results European Working Group on Sarcopenia in Older People sarcopenia was present in 21% of participants at baseline [149/719 participants, mean age 85.5 (0.4) years]. Many participants had either slow gait speed or weak grip strength (74.3%), and hence measurement of muscle mass was frequently indicated by the EWGSOP definition. Incidence data were available for 302 participants, and the incident rate was 3.7 cases per 100 person years at risk. Low Standardized Mini-Mental State Examination, lower occupational social class, and shorter duration of education were associated with sarcopenia at baseline, while low muscle mass was associated with incident sarcopenia. Low body mass index (BMI) was a risk factor for both in a graded fashion, with each unit decrease associated with increased odds of prevalent [odds ratio (OR) 1.29, 95% confidence interval (CI): 1.21, 1.37] and incident (OR 1.20, 95% CI: 1.08, 1.33) sarcopenia. Conclusions To our knowledge, this is the first study to describe prevalence and incidence of EWGSOP sarcopenia in the very old. Low BMI was a risk factor for both current and future sarcopenia; indeed, there was some evidence that low BMI may be a reasonable proxy for low lean mass. Overall, the high prevalence of sarcopenia among the very old suggests that this group should be a focus for future research.
- Published
- 2016
47. Population-Level Effects of Human Papillomavirus Vaccination Programs on Infections with Nonvaccine Genotypes
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Mesher, David, Soldan, Kate, Lehtinen, Matti, Kavanagh, Kimberley, Beddows, Simon, Brisson, Marc, Brotherton, Julia M.L., Chow, Eric P.F., Cummings, Teresa, Drolet, Mélanie, Fairley, Christopher K., Garland, Suzanne M., Kahn, Jessica A., Markowitz, Lauri, Pollock, Kevin G., Söderlund-Strand, Anna, Sonnenberg, Pam, Tabrizi, Sepehr N., Tanton, Clare, Unger, Elizabeth, and Thomas, Sara L.
- Subjects
Epidemiology ,Cross Protection ,lcsh:Medicine ,Genital warts ,0302 clinical medicine ,RA0421 ,Genotype ,Prevalence ,030212 general & internal medicine ,Young adult ,Papillomaviridae ,skin and connective tissue diseases ,human papillomavirus ,Cervical cancer ,biology ,vaccines ,Infectious Diseases ,Treatment Outcome ,nonvaccine types ,030220 oncology & carcinogenesis ,Synopsis ,surveillance ,Female ,Microbiology (medical) ,HPV ,Adolescent ,Herd immunity ,lcsh:Infectious and parasitic diseases ,03 medical and health sciences ,Papillomavirus Vaccines ,Young Adult ,genotypes ,medicine ,Population-Level Effects of Human Papillomavirus Vaccination Programs on Infections with Nonvaccine Genotypes ,Humans ,viruses ,lcsh:RC109-216 ,HPV vaccination ,business.industry ,Immunization Programs ,Papillomavirus Infections ,lcsh:R ,medicine.disease ,biology.organism_classification ,Immunization ,Immunology ,sense organs ,business ,Demography - Abstract
After introduction of vaccination, some prevalences of nonvaccine types changed, without clear evidence for type replacement., We analyzed human papillomavirus (HPV) prevalences during prevaccination and postvaccination periods to consider possible changes in nonvaccine HPV genotypes after introduction of vaccines that confer protection against 2 high-risk types, HPV16 and HPV18. Our meta-analysis included 9 studies with data for 13,886 girls and women ≤19 years of age and 23,340 women 20–24 years of age. We found evidence of cross-protection for HPV31 among the younger age group after vaccine introduction but little evidence for reductions of HPV33 and HPV45. For the group this same age group, we also found slight increases in 2 nonvaccine high-risk HPV types (HPV39 and HPV52) and in 2 possible high-risk types (HPV53 and HPV73). However, results between age groups and vaccines used were inconsistent, and the increases had possible alternative explanations; consequently, these data provided no clear evidence for type replacement. Continued monitoring of these HPV genotypes is important.
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- 2016
48. Respiratory health and disease in a UK population-based cohort of 85 year olds: The Newcastle 85+ Study
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Joanna Collerton, T Small, Paul A. Corris, Mohammad E Yadegarfar, Thomas B. L. Kirkwood, Andrew J. Fisher, Carol Jagger, and Karen Davies
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Male ,Pulmonary and Respiratory Medicine ,Spirometry ,Pediatrics ,medicine.medical_specialty ,Health Status ,Lung Physiology ,Respiratory Tract Diseases ,Population ,Respiratory Epidemiology ,Severity of Illness Index ,03 medical and health sciences ,0302 clinical medicine ,Risk Factors ,Prevalence ,medicine ,Humans ,030212 general & internal medicine ,education ,Retrospective Studies ,Aged, 80 and over ,COPD ,education.field_of_study ,medicine.diagnostic_test ,business.industry ,Incidence ,Respiratory disease ,Age Factors ,Retrospective cohort study ,Environmental Exposure ,Environmental exposure ,medicine.disease ,United Kingdom ,Obstructive lung disease ,Respiratory Function Tests ,3. Good health ,030228 respiratory system ,Population Surveillance ,Cohort ,Female ,COPD epidemiology ,business ,Respiratory Measurement - Abstract
Background People aged 85 years and older are the fastest growing age group worldwide. This study assessed respiratory health, prevalence of respiratory disease and use of spirometry in respiratory diagnosis in a population-based cohort of 85 year olds to better understand respiratory health and disease in this sector of society. Methods A single year birth-cohort of 85 year olds participated in a respiratory assessment at their home or residential institution including self-reporting of symptoms and measurement of spirometry. General practice medical records were reviewed for respiratory diagnoses and treatments. Findings In the 845 participants, a substantial burden of respiratory disease was seen with a prevalence of COPD in medical records of 16.6% (n=140). A large proportion of the cohort had environmental exposures through past or current smoking (64.2%, n=539) and occupational risk factors (33.6%, n=269). Spirometry meeting reliability criteria was performed in 87% (n=737) of participants. In the subgroup with a diagnosis of COPD (n=123), only 75.6% (n=93) satisfied Global Initiative in Obstructive Lung Disease (GOLD) criteria for airflow obstruction, and in a healthy subgroup without respiratory symptoms or diagnoses (n=151), 44.4% (n=67) reached GOLD criteria for airflow obstruction and 43.3% (n=29) National Institute of Health and Care Excellence criteria for at least moderate COPD. Interpretation Spirometry can be successfully performed in the very old, aged 85 years, and may help identify respiratory diseases such as COPD. However interpretation in this age group using current definitions of COPD based on spirometry indices may be difficult and lead to overdiagnosis in a healthy group with transient symptoms.
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- 2016
49. CMV seropositivity and T-cell senescence predict increased cardiovascular mortality in octogenarians: results from the Newcastle 85+ study
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John D. Isaacs, Mohammad E Yadegarfar, Carmen Martin-Ruiz, Thomas B. L. Kirkwood, Carol Jagger, Catharien M. U. Hilkens, Ioakim Spyridopoulos, and Thomas von Zglinicki
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Male ,0301 basic medicine ,Senescence ,Aging ,medicine.medical_specialty ,octogenarians ,T-Lymphocytes ,T cell ,T lymphocytes ,survival ,Gastroenterology ,03 medical and health sciences ,Internal medicine ,medicine ,Humans ,Myocardial infarction ,coronary heart disease ,cytomegalovirus ,Survival rate ,Stroke ,immunosenescence ,Aged, 80 and over ,Proportional hazards model ,business.industry ,Incidence (epidemiology) ,Age Factors ,Short Take ,CD8 ,Cell Biology ,medicine.disease ,CD4 ,United Kingdom ,030104 developmental biology ,medicine.anatomical_structure ,Cardiovascular Diseases ,Chronic Disease ,Cytomegalovirus Infections ,Immunology ,Female ,business - Abstract
Summary Although chronic infection with cytomegalovirus (CMV) is known to drive T lymphocytes toward a senescent phenotype, it remains controversial whether and how CMV can cause coronary heart disease (CHD). To explore whether CMV seropositivity or T‐cell populations associated with immunosenescence were informative for adverse cardiovascular outcome in the very old, we prospectively analyzed peripheral blood samples from 751 octogenarians (38% males) from the Newcastle 85+ study for their power to predict survival during a 65‐month follow‐up (47.3% survival rate). CMV‐seropositive participants showed a higher prevalence of CHD (37.7% vs. 26.7%, P = 0.030) compared to CMV‐seronegative participants together with lower CD4/CD8 ratio (1.7 vs. 4.1, P
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- 2015
50. Age-related macular degeneration: A two-level model hypothesis
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Jon Ambæk Durhuus, Rudi G. J. Westendorp, Marie Krogh Nielsen, Thomas B. L. Kirkwood, Maarten Pieter Rozing, Yousif Subhi, and Torben Lykke Sørensen
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0301 basic medicine ,Aging ,Population ageing ,Future studies ,Systemic inflammation ,Macular Degeneration ,03 medical and health sciences ,0302 clinical medicine ,Risk Factors ,Age related ,medicine ,Humans ,business.industry ,Risk factor (computing) ,Macular degeneration ,medicine.disease ,eye diseases ,Sensory Systems ,Original data ,Oxidative Stress ,Ophthalmology ,030104 developmental biology ,Ageing ,030221 ophthalmology & optometry ,medicine.symptom ,business ,Neuroscience - Abstract
Age-related diseases, including age-related macular degeneration (AMD), are of growing importance in a world where population ageing has become a dominant global trend. Although a wide variety of risk factors for AMD have been identified, age itself remains by far the most important risk factor, making it an urgent priority to understand the connections between underlying ageing mechanisms and pathophysiology of AMD. Ageing is both multicausal and variable, so that differences between individuals in biological ageing processes are the focus of a growing number of pathophysiological studies seeking to explain how ageing contributes to chronic, age-related conditions. The aim of this review is to integrate the available knowledge on the pathophysiology of AMD within the framework of the biology of ageing. One highly significant feature of biological ageing is systemic inflammation, which arises as a second-level response to a first level of molecular damage involving oxidative stress, mutations etc. Combining these insights, the various co-existing pathophysiological explanations in AMD arrange themselves according to a two-level hypothesis. Accordingly, we describe how AMD can be considered the consequence of age-related random accumulation of molecular damage at the ocular level and the subsequent systemic inflammatory host response thereof. We summarize evidence and provide original data to enlighten where evidence is lacking. Finally, we discuss how this two-level hypothesis provides a foundation for thoughts and future studies in prevention, prognosis, and intervention.
- Published
- 2020
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