1,207 results on '"Hansson O."'
Search Results
2. A Statistical Framework for Assessing the Relationship between Biomarkers and Clinical Endpoints in Alzheimer’s Disease
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Chen, Tianle, Hutchison, R. M., Rubel, C., Murphy, J., Xie, J., Montenigro, P., Cheng, W., Fraser, K., Dent, G., Hendrix, S., Hansson, O., Aisen, P., Tian, Y., and O’Gorman, J.
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- 2024
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3. Validation, Deployment, and Real-World Implementation of a Modular Toolbox for Alzheimer’s Disease Detection and Dementia Risk Reduction: The AD-RIDDLE Project
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Malzbender, K., Barbarino, P., Ferrell, P. Barkman, Bradshaw, A., Brookes, A. J., Díaz, C., van der Flier, W. M., Georges, J., Hansson, O., Hartmanis, M., Jönsson, L., Krishnan, R., MacLeod, T., Mangialasche, F., Mecocci, P., Minguillon, C., Middleton, L., Pla, S., Sardi, S. P., Schöll, M., Suárez-Calvet, M., Weidner, W., Visser, P. J., Zetterberg, H., Bose, N., Solomon, A., and Kivipelto, Miia
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- 2024
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4. Can We Use Blood Biomarkers as Entry Criteria and for Monitoring Drug Treatment Effects in Clinical Trials? A Report from the EU/US CTAD Task Force
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Angioni, D., Hansson, O., Bateman, R. J., Rabe, C., Toloue, M., Braunstein, J. B., Agus, S., Sims, J. R., Bittner, T., Carrillo, M. C., Fillit, H., Masters, C. L., Salloway, S., Aisen, P., Weiner, M., Vellas, B., Gauthier, S., Abushakra, Susan, Afshar, Mohammad, Alam, John, Algeciras-Schimnich, Alicia, Andrieu, Sandrine, Ballard, Clive, Baruch, Amos, Batrla, Richard, Baudler, Monika, Bell, Joanne, Bozeat, Sasha, Brooks, Dawn, Brooks, Tricia, Bullain, Szofia, Burmeister, Jan, Cho, Min, Collins, Emily, Cook, Gavin, Cummings, Jeffrey, Dague, Chris, De Santi, Susan, Doody, Rachelle, Dunn, Billy, Egan, Michael, Eriksson, Sven, Esquivel, Rianne, Fagan, Tom, Ferrell, Phyllis, Gallagher, Michela, Grönblad, Anna-Kaija, Hains, Avis, Hampel, Harald, Hefting, Nanco, Hendrix, Suzanne, Ho, Carole, Hu, Helen, Ismail, Zahinoor, Jones, Daryl, Kinney, Gene, Kinnon, Paul, Kurzman, Ricky, Lannfelt, Lars, Lawson, John, LeBastard, Nathalie, Legrand, Valérie, Lewandowski, Nicole, Lim, Carine, Lyketsos, Costantine, Masterman, Donna, Lu, Ming, Mintun, Mark, Molinuevo, José Luis, Monteiro, Cecilia, Navia, Bradford, Odergren, Tomas, Osswald, Gunilla, Penny, Lewis, Pontecorvo, Michael, Porsteinsson, Anton, Raman, Rema, Respondek, Gesine, Reyderman, Larisa, Rogers, Sharon, Rosenberg, Paul, Rosenzweig-Lipson, Sharon, Roskey, Mark, Carrie, Rubel, Saad, Ziad, Schindler, Rachel, Selkoe, Dennis, Shulman, Melanie, Sink, Kaycee, Sipe, Lisa, Skovronsky, Daniel, Somers, Elizabeth, Soto, Maria, Streffer, Johannes, Such, Pedro, Suhy, Joyce, Touchon, Jacques, Vandijck, Manu, White, Anne, Wilson, David, Zago, Wagner, and Zhou, Jin
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- 2023
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5. Brain charts for the human lifespan
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Bethlehem, RAI, Seidlitz, J, White, SR, Vogel, JW, Anderson, KM, Adamson, C, Adler, S, Alexopoulos, GS, Anagnostou, E, Areces-Gonzalez, A, Astle, DE, Auyeung, B, Ayub, M, Bae, J, Ball, G, Baron-Cohen, S, Beare, R, Bedford, SA, Benegal, V, Beyer, F, Blangero, J, Blesa Cábez, M, Boardman, JP, Borzage, M, Bosch-Bayard, JF, Bourke, N, Calhoun, VD, Chakravarty, MM, Chen, C, Chertavian, C, Chetelat, G, Chong, YS, Cole, JH, Corvin, A, Costantino, M, Courchesne, E, Crivello, F, Cropley, VL, Crosbie, J, Crossley, N, Delarue, M, Delorme, R, Desrivieres, S, Devenyi, GA, Di Biase, MA, Dolan, R, Donald, KA, Donohoe, G, Dunlop, K, Edwards, AD, Elison, JT, Ellis, CT, Elman, JA, Eyler, L, Fair, DA, Feczko, E, Fletcher, PC, Fonagy, P, Franz, CE, Galan-Garcia, L, Gholipour, A, Giedd, J, Gilmore, JH, Glahn, DC, Goodyer, IM, Grant, PE, Groenewold, NA, Gunning, FM, Gur, RE, Gur, RC, Hammill, CF, Hansson, O, Hedden, T, Heinz, A, Henson, RN, Heuer, K, Hoare, J, Holla, B, Holmes, AJ, Holt, R, Huang, H, Im, K, Ipser, J, Jack, CR, Jackowski, AP, Jia, T, Johnson, KA, Jones, PB, Jones, DT, Kahn, RS, Karlsson, H, Karlsson, L, Kawashima, R, Kelley, EA, Kern, S, Kim, KW, Kitzbichler, MG, Kremen, WS, Lalonde, F, and Landeau, B
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Biological Psychology ,Psychology ,Biomedical Imaging ,Neurosciences ,Clinical Research ,Aging ,Brain Disorders ,2.1 Biological and endogenous factors ,Neurological ,Mental health ,Body Height ,Brain ,Humans ,Longevity ,Magnetic Resonance Imaging ,Neuroimaging ,3R-BRAIN ,AIBL ,Alzheimer’s Disease Neuroimaging Initiative ,Alzheimer’s Disease Repository Without Borders Investigators ,CALM Team ,Cam-CAN ,CCNP ,COBRE ,cVEDA ,ENIGMA Developmental Brain Age Working Group ,Developing Human Connectome Project ,FinnBrain ,Harvard Aging Brain Study ,IMAGEN ,KNE96 ,Mayo Clinic Study of Aging ,NSPN ,POND ,PREVENT-AD Research Group ,VETSA ,General Science & Technology - Abstract
Over the past few decades, neuroimaging has become a ubiquitous tool in basic research and clinical studies of the human brain. However, no reference standards currently exist to quantify individual differences in neuroimaging metrics over time, in contrast to growth charts for anthropometric traits such as height and weight1. Here we assemble an interactive open resource to benchmark brain morphology derived from any current or future sample of MRI data ( http://www.brainchart.io/ ). With the goal of basing these reference charts on the largest and most inclusive dataset available, acknowledging limitations due to known biases of MRI studies relative to the diversity of the global population, we aggregated 123,984 MRI scans, across more than 100 primary studies, from 101,457 human participants between 115 days post-conception to 100 years of age. MRI metrics were quantified by centile scores, relative to non-linear trajectories2 of brain structural changes, and rates of change, over the lifespan. Brain charts identified previously unreported neurodevelopmental milestones3, showed high stability of individuals across longitudinal assessments, and demonstrated robustness to technical and methodological differences between primary studies. Centile scores showed increased heritability compared with non-centiled MRI phenotypes, and provided a standardized measure of atypical brain structure that revealed patterns of neuroanatomical variation across neurological and psychiatric disorders. In summary, brain charts are an essential step towards robust quantification of individual variation benchmarked to normative trajectories in multiple, commonly used neuroimaging phenotypes.
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- 2022
6. Blood Biomarkers from Research Use to Clinical Practice: What Must Be Done? A Report from the EU/US CTAD Task Force
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Angioni, Davide, Delrieu, J, Hansson, O, Fillit, H, Aisen, P, Cummings, J, Sims, JR, Braunstein, JB, Sabbagh, M, Bittner, T, Pontecorvo, M, Bozeat, S, Dage, JL, Largent, E, Mattke, S, Correa, O, Gutierrez Robledo, LM, Baldivieso, V, Willis, DR, Atri, A, Bateman, RJ, Ousset, P-J, Vellas, B, and Weiner, M
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Biomedical and Clinical Sciences ,Clinical Sciences ,Prevention ,Clinical Research ,Aging ,Detection ,screening and diagnosis ,4.1 Discovery and preclinical testing of markers and technologies ,Good Health and Well Being ,Humans ,Alzheimer Disease ,Biomarkers ,Advisory Committees ,Alzheimer’s disease ,amyloid ,blood biomarkers ,clinical trials ,diagnostic ,neurofilament light ,p-tau ,Neurosciences ,Biological psychology ,Cognitive and computational psychology - Abstract
Timely and accurate diagnosis of Alzheimer's disease (AD) in clinical practice remains challenging. PET and CSF biomarkers are the most widely used biomarkers to aid diagnosis in clinical research but present limitations for clinical practice (i.e., cost, accessibility). Emerging blood-based markers have the potential to be accurate, cost-effective, and easily accessible for widespread clinical use, and could facilitate timely diagnosis. The EU/US CTAD Task Force met in May 2022 in a virtual meeting to discuss pathways to implementation of blood-based markers in clinical practice. Specifically, the CTAD Task Force assessed: the state-of-art for blood-based markers, the current use of blood-based markers in clinical trials, the potential use of blood-based markers in clinical practice, the current challenges with blood-based markers, and the next steps needed for broader adoption in clinical practice.
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- 2022
7. Investigating Partially Discordant Results in Phase 3 Studies of Aducanumab
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Mallinckrodt, C., Tian, Y., Aisen, P. S., Barkhof, F., Cohen, S., Dent, G., Hansson, O., Harrison, K., Iwatsubo, T., Mummery, C. J., Muralidharan, K. K., Nestorov, I., Nisenbaum, L., Rajagovindan, R., von Hehn, C., van Dyck, C. H., Vellas, B., Wu, S., Zhu, Y., Sandrock, A., Chen, T., and Budd Haeberlein, Samantha
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- 2023
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8. Screening over Speech in Unselected Populations for Clinical Trials in AD (PROSPECT-AD): Study Design and Protocol
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König, Alexandra, Linz, N., Baykara, E., Tröger, J., Ritchie, C., Saunders, S., Teipel, S., Köhler, S., Sánchez-Benavides, G., Grau-Rivera, O., Gispert, J. D., Palmqvist, S., Tideman, P., and Hansson, O.
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- 2023
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9. Two Randomized Phase 3 Studies of Aducanumab in Early Alzheimer’s Disease
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Budd Haeberlein, Samantha, Aisen, P.S., Barkhof, F., Chalkias, S., Chen, T., Cohen, S., Dent, G., Hansson, O., Harrison, K., von Hehn, C., Iwatsubo, T., Mallinckrodt, C., Mummery, C.J., Muralidharan, K.K., Nestorov, I., Nisenbaum, L., Rajagovindan, R., Skordos, L., Tian, Y., van Dyck, C.H., Vellas, B., Wu, S., Zhu, Y., and Sandrock, A.
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- 2022
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10. SCRT1 is a novel beta cell transcription factor with insulin regulatory properties
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Chriett, S., Lindqvist, A., Shcherbina, L., Edlund, A., Abels, M., Asplund, O., Martínez López, J.A., Ottosson-Laakso, E., Hatem, G., Prasad, R.B., Groop, L., Eliasson, L., Hansson, O., and Wierup, N.
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- 2021
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11. Clinical validity of increased cortical uptake of [18F]flortaucipir on PET as a biomarker for Alzheimer’s disease in the context of a structured 5-phase biomarker development framework
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Wolters, E. E., Dodich, A., Boccardi, M., Corre, J., Drzezga, A., Hansson, O., Nordberg, A., Frisoni, G. B., Garibotto, V., and Ossenkoppele, R.
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- 2021
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12. The validation status of blood biomarkers of amyloid and phospho-tau assessed with the 5-phase development framework for AD biomarkers
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Ashton, N. J., Leuzy, A., Karikari, T. K., Mattsson-Carlgren, N., Dodich, A., Boccardi, M., Corre, J., Drzezga, A., Nordberg, A., Ossenkoppele, R., Zetterberg, H., Blennow, K., Frisoni, G. B., Garibotto, V., and Hansson, O.
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- 2021
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13. 2020 update on the clinical validity of cerebrospinal fluid amyloid, tau, and phospho-tau as biomarkers for Alzheimer’s disease in the context of a structured 5-phase development framework
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Leuzy, A., Ashton, N. J., Mattsson-Carlgren, N., Dodich, A., Boccardi, M., Corre, J., Drzezga, A., Nordberg, A., Ossenkoppele, R., Zetterberg, H., Blennow, K., Frisoni, G. B., Garibotto, V., and Hansson, O.
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- 2021
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14. Plasma neurofilament light in behavioural variant frontotemporal dementia compared to mood and psychotic disorders
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Eratne, D, Kang, M, Malpas, C, Simpson-Yap, S, Lewis, C, Dang, C, Grewal, J, Coe, A, Dobson, H, Keem, M, Chiu, W-H, Kalincik, T, Ooi, S, Darby, D, Brodtmann, A, Hansson, O, Janelidze, S, Blennow, K, Zetterberg, H, Walker, A, Dean, O, Berk, M, Wannan, C, Pantelis, C, Loi, SM, Walterfang, M, Berkovic, SF, Santillo, AF, Velakoulis, D, Eratne, D, Kang, M, Malpas, C, Simpson-Yap, S, Lewis, C, Dang, C, Grewal, J, Coe, A, Dobson, H, Keem, M, Chiu, W-H, Kalincik, T, Ooi, S, Darby, D, Brodtmann, A, Hansson, O, Janelidze, S, Blennow, K, Zetterberg, H, Walker, A, Dean, O, Berk, M, Wannan, C, Pantelis, C, Loi, SM, Walterfang, M, Berkovic, SF, Santillo, AF, and Velakoulis, D
- Abstract
OBJECTIVE: Blood biomarkers of neuronal injury such as neurofilament light (NfL) show promise to improve diagnosis of neurodegenerative disorders and distinguish neurodegenerative from primary psychiatric disorders (PPD). This study investigated the diagnostic utility of plasma NfL to differentiate behavioural variant frontotemporal dementia (bvFTD, a neurodegenerative disorder commonly misdiagnosed initially as PPD), from PPD, and performance of large normative/reference data sets and models. METHODS: Plasma NfL was analysed in major depressive disorder (MDD, n = 42), bipolar affective disorder (BPAD, n = 121), treatment-resistant schizophrenia (TRS, n = 82), bvFTD (n = 22), and compared to the reference cohort (Control Group 2, n = 1926, using GAMLSS modelling), and age-matched controls (Control Group 1, n = 96, using general linear models). RESULTS: Large differences were seen between bvFTD (mean NfL 34.9 pg/mL) and all PPDs and controls (all < 11 pg/mL). NfL distinguished bvFTD from PPD with high accuracy, sensitivity (86%), and specificity (88%). GAMLSS models using reference Control Group 2 facilitated precision interpretation of individual levels, while performing equally to or outperforming models using local controls. Slightly higher NfL levels were found in BPAD, compared to controls and TRS. CONCLUSIONS: This study adds further evidence on the diagnostic utility of NfL to distinguish bvFTD from PPD of high clinical relevance to a bvFTD differential diagnosis, and includes the largest cohort of BPAD to date. Using large reference cohorts, GAMLSS modelling and the interactive Internet-based application we developed, may have important implications for future research and clinical translation. Studies are underway investigating utility of plasma NfL in diverse neurodegenerative and primary psychiatric conditions in real-world clinical settings.
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- 2024
15. Harmonizing tau positron emission tomography in Alzheimer's disease: The CenTauR scale and the joint propagation model.
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Leuzy, A, Raket, LL, Villemagne, VL, Klein, G, Tonietto, M, Olafson, E, Baker, S, Saad, ZS, Bullich, S, Lopresti, B, Bohorquez, SS, Boada, M, Betthauser, TJ, Charil, A, Collins, EC, Collins, JA, Cullen, N, Gunn, RN, Higuchi, M, Hostetler, E, Hutchison, RM, Iaccarino, L, Insel, PS, Irizarry, MC, Jack, CR, Jagust, WJ, Johnson, KA, Johnson, SC, Karten, Y, Marquié, M, Mathotaarachchi, S, Mintun, MA, Ossenkoppele, R, Pappas, I, Petersen, RC, Rabinovici, GD, Rosa-Neto, P, Schwarz, CG, Smith, R, Stephens, AW, Whittington, A, Carrillo, MC, Pontecorvo, MJ, Haeberlein, SB, Dunn, B, Kolb, HC, Sivakumaran, S, Rowe, CC, Hansson, O, Doré, V, Leuzy, A, Raket, LL, Villemagne, VL, Klein, G, Tonietto, M, Olafson, E, Baker, S, Saad, ZS, Bullich, S, Lopresti, B, Bohorquez, SS, Boada, M, Betthauser, TJ, Charil, A, Collins, EC, Collins, JA, Cullen, N, Gunn, RN, Higuchi, M, Hostetler, E, Hutchison, RM, Iaccarino, L, Insel, PS, Irizarry, MC, Jack, CR, Jagust, WJ, Johnson, KA, Johnson, SC, Karten, Y, Marquié, M, Mathotaarachchi, S, Mintun, MA, Ossenkoppele, R, Pappas, I, Petersen, RC, Rabinovici, GD, Rosa-Neto, P, Schwarz, CG, Smith, R, Stephens, AW, Whittington, A, Carrillo, MC, Pontecorvo, MJ, Haeberlein, SB, Dunn, B, Kolb, HC, Sivakumaran, S, Rowe, CC, Hansson, O, and Doré, V
- Abstract
INTRODUCTION: Tau-positron emission tomography (PET) outcome data of patients with Alzheimer's disease (AD) cannot currently be meaningfully compared or combined when different tracers are used due to differences in tracer properties, instrumentation, and methods of analysis. METHODS: Using head-to-head data from five cohorts with tau PET radiotracers designed to target tau deposition in AD, we tested a joint propagation model (JPM) to harmonize quantification (units termed "CenTauR" [CTR]). JPM is a statistical model that simultaneously models the relationships between head-to-head and anchor point data. JPM was compared to a linear regression approach analogous to the one used in the amyloid PET Centiloid scale. RESULTS: A strong linear relationship was observed between CTR values across brain regions. Using the JPM approach, CTR estimates were similar to, but more accurate than, those derived using the linear regression approach. DISCUSSION: Preliminary findings using the JPM support the development and adoption of a universal scale for tau-PET quantification. HIGHLIGHTS: Tested a novel joint propagation model (JPM) to harmonize quantification of tau PET. Units of common scale are termed "CenTauRs". Tested a Centiloid-like linear regression approach. Using five cohorts with head-to-head tau PET, JPM outperformed linearregressionbased approach. Strong linear relationship was observed between CenTauRs values across brain regions.
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- 2024
16. Publisher Correction: Brain charts for the human lifespan
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Bethlehem, R. A. I., Seidlitz, J., White, S. R., Vogel, J. W., Anderson, K. M., Adamson, C., Adler, S., Alexopoulos, G. S., Anagnostou, E., Areces-Gonzalez, A., Astle, D. E., Auyeung, B., Ayub, M., Bae, J., Ball, G., Baron-Cohen, S., Beare, R., Bedford, S. A., Benegal, V., Beyer, F., Blangero, J., Blesa Cábez, M., Boardman, J. P., Borzage, M., Bosch-Bayard, J. F., Bourke, N., Calhoun, V. D., Chakravarty, M. M., Chen, C., Chertavian, C., Chetelat, G., Chong, Y. S., Cole, J. H., Corvin, A., Costantino, M., Courchesne, E., Crivello, F., Cropley, V. L., Crosbie, J., Crossley, N., Delarue, M., Delorme, R., Desrivieres, S., Devenyi, G. A., Di Biase, M. A., Dolan, R., Donald, K. A., Donohoe, G., Dunlop, K., Edwards, A. D., Elison, J. T., Ellis, C. T., Elman, J. A., Eyler, L., Fair, D. A., Feczko, E., Fletcher, P. C., Fonagy, P., Franz, C. E., Galan-Garcia, L., Gholipour, A., Giedd, J., Gilmore, J. H., Glahn, D. C., Goodyer, I. M., Grant, P. E., Groenewold, N. A., Gunning, F. M., Gur, R. E., Gur, R. C., Hammill, C. F., Hansson, O., Hedden, T., Heinz, A., Henson, R. N., Heuer, K., Hoare, J., Holla, B., Holmes, A. J., Holt, R., Huang, H., Im, K., Ipser, J., Jack, Jr, C. R., Jackowski, A. P., Jia, T., Johnson, K. A., Jones, P. B., Jones, D. T., Kahn, R. S., Karlsson, H., Karlsson, L., Kawashima, R., Kelley, E. A., Kern, S., Kim, K. W., Kitzbichler, M. G., Kremen, W. S., Lalonde, F., Landeau, B., Lee, S., Lerch, J., Lewis, J. D., Li, J., Liao, W., Liston, C., Lombardo, M. V., Lv, J., Lynch, C., Mallard, T. T., Marcelis, M., Markello, R. D., Mathias, S. R., Mazoyer, B., McGuire, P., Meaney, M. J., Mechelli, A., Medic, N., Misic, B., Morgan, S. E., Mothersill, D., Nigg, J., Ong, M. Q. W., Ortinau, C., Ossenkoppele, R., Ouyang, M., Palaniyappan, L., Paly, L., Pan, P. M., Pantelis, C., Park, M. M., Paus, T., Pausova, Z., Paz-Linares, D., Pichet Binette, A., Pierce, K., Qian, X., Qiu, J., Qiu, A., Raznahan, A., Rittman, T., Rodrigue, A., Rollins, C. K., Romero-Garcia, R., Ronan, L., Rosenberg, M. D., Rowitch, D. H., Salum, G. A., Satterthwaite, T. D., Schaare, H. L., Schachar, R. J., Schultz, A. P., Schumann, G., Schöll, M., Sharp, D., Shinohara, R. T., Skoog, I., Smyser, C. D., Sperling, R. A., Stein, D. J., Stolicyn, A., Suckling, J., Sullivan, G., Taki, Y., Thyreau, B., Toro, R., Traut, N., Tsvetanov, K. A., Turk-Browne, N. B., Tuulari, J. J., Tzourio, C., Vachon-Presseau, É., Valdes-Sosa, M. J., Valdes-Sosa, P. A., Valk, S. L., van Amelsvoort, T., Vandekar, S. N., Vasung, L., Victoria, L. W., Villeneuve, S., Villringer, A., Vértes, P. E., Wagstyl, K., Wang, Y. S., Warfield, S. K., Warrier, V., Westman, E., Westwater, M. L., Whalley, H. C., Witte, A. V., Yang, N., Yeo, B., Yun, H., Zalesky, A., Zar, H. J., Zettergren, A., Zhou, J. H., Ziauddeen, H., Zugman, A., Zuo, X. N., Bullmore, E. T., and Alexander-Bloch, A. F.
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- 2022
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17. Endogenous beta-cell CART regulates insulin secretion and transcription of beta-cell genes
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Shcherbina, L., Edlund, A., Esguerra, J.L.S., Abels, M., Zhou, Y., Ottosson-Laakso, E., Wollheim, C.B., Hansson, O., Eliasson, L., and Wierup, N.
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- 2017
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18. High circulating levels of midregional proenkephalin A predict vascular dementia: a population-based prospective study
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Holm, H., Nägga, K., Nilsson, E. D., Ricci, F., Melander, O., Hansson, O., Bachus, E., Fedorowski, A., and Magnusson, M.
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- 2020
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19. Quantification of total apolipoprotein E and its isoforms in cerebrospinal fluid from patients with neurodegenerative diseases
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Minta, K., Brinkmalm, G., Janelidze, S., Sjödin, S., Portelius, E., Stomrud, E., Zetterberg, H., Blennow, K., Hansson, O., and Andreasson, U.
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- 2020
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20. 18F-Flortaucipir in TDP-43 associated frontotemporal dementia
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Smith, R., Santillo, A. F., Waldö, M. Landqvist, Strandberg, O., Berron, D., Vestberg, S., van Westen, D., van Swieten, J., Honer, M., and Hansson, O.
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- 2019
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21. European Inter-Societal Delphi Consensus for the biomarker-based etiological diagnosis of neurocognitive disorders in the mild stage
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Massa, F., Festari, C., Cotta Ramusino, M., Orini, S., Aarsland, D., Agosta, F., Babiloni, C., Boada, M., Borroni, B., Cappa, S.F., Dubois, B., Frederiksen, K.S., Frölich, L., Garibotto, V., Georges, J., Haliassos, A., Hansson, O., Jessen, F., Kamondi, A., Kessels, R.P.C., Morbelli, S., O'Brien, J.T., Otto, M., Perret-Liaudet, A., Pizzini, F.B., Ritchie, C.W., Scheltens, P., Flier, W.M. van der, Vandenbulcke, M., Vanninen, R., Verhey, F.R.J., Vernooij, M.W., Yousry, T., Nobili, F., Frisoni, G.B., Massa, F., Festari, C., Cotta Ramusino, M., Orini, S., Aarsland, D., Agosta, F., Babiloni, C., Boada, M., Borroni, B., Cappa, S.F., Dubois, B., Frederiksen, K.S., Frölich, L., Garibotto, V., Georges, J., Haliassos, A., Hansson, O., Jessen, F., Kamondi, A., Kessels, R.P.C., Morbelli, S., O'Brien, J.T., Otto, M., Perret-Liaudet, A., Pizzini, F.B., Ritchie, C.W., Scheltens, P., Flier, W.M. van der, Vandenbulcke, M., Vanninen, R., Verhey, F.R.J., Vernooij, M.W., Yousry, T., Nobili, F., and Frisoni, G.B.
- Abstract
Item does not contain fulltext, Background: CSF and imaging biomarkers are needed for the etiological diagnosis of neurocognitive disorders, but evidence is incomplete on their rational use in the clinic. Since October 2020, a European task force has been defining an evidence-based diagnostic workflow, where incomplete evidence is filled by the opinion of experts. Herein, we report the preliminary results through January 2022. Method: A Delphi method was used to reach consensus. Eleven pertinent European scientific societies delegated two panelists each to join Delphi rounds and voting. Consensus was set at 70% of consistent responses. Result: In the 5 voting rounds completed so far, panelists defined clinical setting (specialist outpatient service) and stage of application (prodromal and mild dementia) of the workflow, patients’ age window of biomarkers use (strongly encouraged below 70 years and of limited usefulness over 85). Workflow is configurated to be patient-centered and structured on three levels of assessment (W): W1, definition of clinical profiles based on the combined results of MRI, neuropsychology, blood tests; W2, choice of first-line biomarkers according to the main clinical suspicion (i.e., FDG-PET for frontotemporal lobar degeneration and motor tauopathies, dopamine SPECT/PET for Lewy body spectrum disorders, and CSF biomarkers either for Alzheimer’s disease or in cases with inconclusive neuropsychological and/or MRI findings, whereas no biomarker was indicated in suspected vascular cognitive impairment); W3, selection of a second-line biomarker when results of first-line biomarkers are inconsistent with diagnostic hypothesis (i.e., not typical FDG-PET pattern) or uninformative (i.e., borderline CSF amyloid results) or not sufficient to rule out other etiologies (i.e., amyloid-positive and tau-negative CSF results) or when a diagnosis remains possible despite a negative first-line biomarker (e.g., normal dopamine SPECT/PET in suspected prodromal dementia with Lewy bodies). Conc
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- 2023
22. PO.1.13 Plasma and cerebrospinal fluid neurofilament light concentrations reflect neuronal damage in systemic lupus erythematosus
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Zervides, KA, primary, Janelidze, S, additional, Nystedt, J, additional, Gullstrand, B, additional, Nilsson, P, additional, Sundgren, PC, additional, Bengtsson, AA, additional, Hansson, O, additional, and Jönsen, A, additional
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- 2022
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23. BRINGING THE BENCH TO THE BEDSIDE: UPDATES ON THE MIND STUDY AND WHAT A ROUTINELY AVAILABLE SIMPLE BLOOD TEST FOR NEUROFILAMENT LIGHT WOULD MEAN AT THE CLINICAL COAL FACE FOR PATIENTS AND FAMILIES, PSYCHIATRISTS, NEUROLOGISTS, GERIATRICIANS AND GENERAL PRACTITIONERS
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Eratne, D, Lewis, C, Cadwallader, C, Kang, M, Keem, M, Santillo, A, Li, QX, Stehmann, C, Loi, SM, Walterfang, M, Watson, R, Yassi, N, Blennow, K, Zetterberg, H, Janelidze, S, Hansson, O, Berry-Kravitz, E, Brodtmann, A, Darby, D, Walker, A, Dean, O, Masters, CL, Collins, S, Berkovic, SF, Velakoulis, D, Eratne, D, Lewis, C, Cadwallader, C, Kang, M, Keem, M, Santillo, A, Li, QX, Stehmann, C, Loi, SM, Walterfang, M, Watson, R, Yassi, N, Blennow, K, Zetterberg, H, Janelidze, S, Hansson, O, Berry-Kravitz, E, Brodtmann, A, Darby, D, Walker, A, Dean, O, Masters, CL, Collins, S, Berkovic, SF, and Velakoulis, D
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- 2022
24. Central nervous system monoaminergic activity in hip osteoarthritis patients with disabling pain : associations with pain severity and central sensitization
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Bjurstrom, M. F., Blennow, K., Zetterberg, H., Bodelsson, M., Walden, M., Dietz, N., Hall, S., Hansson, O., Irwin, M. R., Mattsson-Carlgren, N., Bjurstrom, M. F., Blennow, K., Zetterberg, H., Bodelsson, M., Walden, M., Dietz, N., Hall, S., Hansson, O., Irwin, M. R., and Mattsson-Carlgren, N.
- Abstract
INTRODUCTION: Monoaminergic activity modulates nociceptive transmission in the central nervous system (CNS). Although pain is the most disabling symptom of osteoarthritis (OA), limited knowledge exists regarding the CNS mechanisms that amplify pain and drive sensitization processes in humans. OBJECTIVES: The main objective of this study was to evaluate associations between cerebrospinal fluid (CSF) monoamine metabolites, pain severity, and central sensitization in patients with OA undergoing total hip arthroplasty (THA). METHODS: Patients with OA (n = 52) and pain-free controls (n = 30) provided CSF samples for measurement of serotonin (5-hydroxyindoleacetic acid [5-HIAA]), noradrenaline (3-methoxy-4-hydroxyphenylglycol [HMPG]), and dopamine (homovanillic acid [HVA]) monoamine metabolites. Patients with OA completed longitudinal evaluation of pain using clinical measures and quantitative sensory testing. RESULTS: Patients with OA had higher HMPG levels when compared with controls (P = 0.036). Within patients with OA undergoing THA, higher 5-HIAA and HVA levels were consistently associated with higher preoperative pain severity. Higher concentrations of 5-HIAA and HVA were also associated with lower conditioned pain modulation levels, whereas higher HMPG levels were linked to more efficient conditioned pain modulation. Patients with higher levels of CSF HVA exhibited increased pressure pain sensitivity (arm pressure pain detection threshold < 250 kPa vs >/= 250 kPa, P = 0.042). Higher preoperative levels of CSF 5-HIAA predicted poorer pain control 6 months postoperatively (brief pain inventory pain severity; adjusted beta = 0.010, 95% CI 0.001-0.019). CONCLUSIONS: In OA patients with disabling pain, higher CSF levels of serotonin and dopamine metabolites are associated with increased pain severity and central sensitization. Increased noradrenergic activity may be associated with more efficient pain inhibitory capacity., Bjurstrom, Martin F Blennow, Kaj Zetterberg, Henrik Bodelsson, Mikael Walden, Markus Dietz, Nicholas Hall, Sara Hansson, Oskar Irwin, Michael R Mattsson-Carlgren, Niklas eng 2022/02/01 Pain Rep. 2022 Jan 24;7(1):e988. doi: 10.1097/PR9.0000000000000988. eCollection 2022 Jan-Feb.
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- 2022
25. Decreased pain sensitivity and alterations of cerebrospinal fluid and plasma inflammatory mediators after total hip arthroplasty in patients with disabling osteoarthritis
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Bjurstrom, M. F., Bodelsson, M., Irwin, M. R., Orbjorn, C., Hansson, O., Mattsson-Carlgren, N., Bjurstrom, M. F., Bodelsson, M., Irwin, M. R., Orbjorn, C., Hansson, O., and Mattsson-Carlgren, N.
- Abstract
BACKGROUND: Proinflammatory mechanisms are implicated in pain states. Recent research indicates that patients with osteoarthritis (OA) with signs of central sensitization exhibit elevated cerebrospinal fluid (CSF) levels of interferon gamma-induced protein 10 (IP-10), Fms-related tyrosine kinase 1 (Flt-1), and monocyte chemoattractant protein 1 (MCP-1). METHODS: The current prospective cohort study, including 15 patients with OA, primarily aimed to evaluate associations among alterations in CSF IP-10, Flt-1, MCP-1, and pain sensitization following total hip arthroplasty (THA). Participants provided CSF and blood samples for analysis of 10 proinflammatory mediators, and underwent detailed clinical examination and quantitative sensory testing, immediately preoperative and 18 months after surgery. RESULTS: Neurophysiological measures of pain showed markedly reduced pain sensitivity long-term postoperative. Increases in remote site pressure pain detection thresholds (PPDTs) and decreased temporal summation indicated partial resolution of previous central sensitization. Compared to preoperative, CSF concentrations of IP-10 were increased (p = 0.041), whereas neither Flt-1 (p = 0.112) nor MCP-1 levels changed (p = 0.650). Compared to preoperative, plasma concentrations of IP-10 were increased (p = 0.006), whereas interleukin (IL)-8 was decreased (p = 0.023). Subjects who exhibited increases in arm PPDTs above median showed greater increases in CSF IP-10 compared to those with PPDT increases below median (p = 0.028). Analyses of plasma IP-10 and IL-8 indicated higher levels of peripheral inflammation were linked to decreased pressure pain thresholds (unadjusted beta = -0.79, p = 0.006, and beta = -118.1, p = 0.014, respectively). CONCLUSIONS: THA leads to long-term decreases in pain sensitivity, indicative of resolution of sensitization processes. Changes in CSF and plasma levels of IP-10, and plasma IL-8, may be associated with altered pain phenotype., Bjurstrom, Martin F Bodelsson, Mikael Irwin, Michael R Orbjorn, Camilla Hansson, Oskar Mattsson-Carlgren, Niklas eng Stiftelsen Olle Engkvist Byggmastare/ 2021/06/19 Pain Pract. 2022 Jan;22(1):66-82. doi: 10.1111/papr.13051. Epub 2021 Jul 24.
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- 2022
26. Prevalence Estimates of Amyloid Abnormality Across the Alzheimer Disease Clinical Spectrum
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Jansen, W.J., Janssen, O., Tijms, B.M., Vos, S.J.B., Ossenkoppele, R., Visser, P.J., Group, A.B.S., Aarsland, D., Alcolea, D., Altomare, D., Arnim, C. von, Baiardi, S., Baldeiras, I., Barthel, H., Bateman, R.J., Berckel, B. Van, Binette, A.P., Blennow, K., Boada, M., Boecker, H., Bottlaender, M., Braber, A., Brooks, D.J., Buchem, M.A. van, Camus, V., Carill, J.M., Cerman, J., Chen, K., Chételat, G., Chipi, E., Cohen, A.D., Daniels, A., Delarue, M., Didic, M., Drzezga, A., Dubois, B., Eckerström, M., Ekblad, L.L., Engelborghs, S., Epelbaum, S., Fagan, A.M., Fan, Y., Fladby, T., Fleisher, A.S., Flier, W.M. van der, Förster, S., Fortea, J., Frederiksen, K.S., Freund-Levi, Y., Frings, L., Frisoni, G.B., Fröhlich, L., Gabryelewicz, T., Gertz, H.J., Gill, K.D., Gkatzima, O., Gómez-Tortosa, E., Grimmer, T., Guedj, E., Habeck, C.G., Hampel, H., Handels, R., Hansson, O., Hausner, L., Hellwig, S., Heneka, M.T., Herukka, S.K., Hildebrandt, H., Hodges, J., Hort, J., Huang, C.C., Iriondo, A.J., Itoh, Y., Ivanoiu, A., Jagust, W.J., Jessen, F., Johannsen, P., Johnson, K.A., Kandimalla, R., Kapaki, E.N., Kern, S., Kilander, L., Klimkowicz-Mrowiec, A., Klunk, W.E., Koglin, N., Kornhuber, J., Kramberger, M.G., Kuo, H.C., Laere, K. Van, Landau, S.M., Landeau, B., Lee, Dyantha I. van der, Leon, M., Leyton, C.E., Lin, K.J., Lleó, A., Löwenmark, M., Madsen, K., Maier, W., Marcusson, J., Olde Rikkert, M.G.M., Verbeek, M.M., Zboch, M., Zetterberg, H., Jansen, W.J., Janssen, O., Tijms, B.M., Vos, S.J.B., Ossenkoppele, R., Visser, P.J., Group, A.B.S., Aarsland, D., Alcolea, D., Altomare, D., Arnim, C. von, Baiardi, S., Baldeiras, I., Barthel, H., Bateman, R.J., Berckel, B. Van, Binette, A.P., Blennow, K., Boada, M., Boecker, H., Bottlaender, M., Braber, A., Brooks, D.J., Buchem, M.A. van, Camus, V., Carill, J.M., Cerman, J., Chen, K., Chételat, G., Chipi, E., Cohen, A.D., Daniels, A., Delarue, M., Didic, M., Drzezga, A., Dubois, B., Eckerström, M., Ekblad, L.L., Engelborghs, S., Epelbaum, S., Fagan, A.M., Fan, Y., Fladby, T., Fleisher, A.S., Flier, W.M. van der, Förster, S., Fortea, J., Frederiksen, K.S., Freund-Levi, Y., Frings, L., Frisoni, G.B., Fröhlich, L., Gabryelewicz, T., Gertz, H.J., Gill, K.D., Gkatzima, O., Gómez-Tortosa, E., Grimmer, T., Guedj, E., Habeck, C.G., Hampel, H., Handels, R., Hansson, O., Hausner, L., Hellwig, S., Heneka, M.T., Herukka, S.K., Hildebrandt, H., Hodges, J., Hort, J., Huang, C.C., Iriondo, A.J., Itoh, Y., Ivanoiu, A., Jagust, W.J., Jessen, F., Johannsen, P., Johnson, K.A., Kandimalla, R., Kapaki, E.N., Kern, S., Kilander, L., Klimkowicz-Mrowiec, A., Klunk, W.E., Koglin, N., Kornhuber, J., Kramberger, M.G., Kuo, H.C., Laere, K. Van, Landau, S.M., Landeau, B., Lee, Dyantha I. van der, Leon, M., Leyton, C.E., Lin, K.J., Lleó, A., Löwenmark, M., Madsen, K., Maier, W., Marcusson, J., Olde Rikkert, M.G.M., Verbeek, M.M., Zboch, M., and Zetterberg, H.
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Contains fulltext : 248802.pdf (Publisher’s version ) (Closed access)
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- 2022
27. Connecting Cohorts to Diminish Alzheimer's Disease (CONCORD-AD): A Report of an International Research Collaboration Network
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Pavlik, VN, Burnham, SC, Kass, JS, Helmer, C, Palmqvist, S, Vassilaki, M, Dartigues, J-F, Hansson, O, Masters, CL, Peres, K, Petersen, RC, Stomrud, E, Butler, L, Coloma, PM, Teitsma, XM, Doody, R, Sano, M, Pavlik, VN, Burnham, SC, Kass, JS, Helmer, C, Palmqvist, S, Vassilaki, M, Dartigues, J-F, Hansson, O, Masters, CL, Peres, K, Petersen, RC, Stomrud, E, Butler, L, Coloma, PM, Teitsma, XM, Doody, R, and Sano, M
- Abstract
Longitudinal observational cohort studies are being conducted worldwide to understand cognition, biomarkers, and the health of the aging population better. Cross-cohort comparisons and networks of registries in Alzheimer's disease (AD) foster scientific exchange, generate insights, and contribute to the evolving clinical science in AD. A scientific working group was convened with invited investigators from established cohort studies in AD, in order to form a research collaboration network as a resource to address important research questions. The Connecting Cohorts to Diminish Alzheimer's Disease (CONCORD-AD) collaboration network was created to bring together global resources and expertise, to generate insights and improve understanding of the natural history of AD, to inform design of clinical trials in all disease stages, and to plan for optimal patient access to disease-modifying therapies once they become available. The network brings together expertise and data insights from 7 cohorts across Australia, Europe, and North America. Notably, the network includes populations recruited through memory clinics as well as population-based cohorts, representing observations from individuals across the AD spectrum. This report aims to introduce the CONCORD-AD network, providing an overview of the cohorts involved, reporting the common assessments used, and describing the key characteristics of the cohort populations. Cohort study designs and baseline population characteristics are compared, and available cognitive, functional, and neuropsychiatric symptom data, as well as the frequency of biomarker assessments, are summarized. Finally, the challenges and opportunities of cross-cohort studies in AD are discussed.
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- 2022
28. Midsagittal corpus callosal thickness and cognitive impairment in Parkinson's disease
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Owens-Walton, C, Adamson, C, Walterfang, M, Hall, S, Westen, D, Hansson, O, Shaw, M, Looi, JCL, Owens-Walton, C, Adamson, C, Walterfang, M, Hall, S, Westen, D, Hansson, O, Shaw, M, and Looi, JCL
- Abstract
People diagnosed with Parkinson's disease (PD) can experience significant neuropsychiatric symptoms, including cognitive impairment and dementia, the neuroanatomical substrates of which are not fully characterised. Symptoms associated with cognitive impairment and dementia in PD may relate to direct structural changes to the corpus callosum via primary white matter pathology or as a secondary outcome due to the degeneration of cortical regions. Using magnetic resonance imaging, the corpus callosum can be investigated at the midsagittal plane, where it converges to a contiguous mass and is not intertwined with other tracts. The objective of this project was thus twofold: First, we investigated possible changes in the thickness of the midsagittal callosum and cortex in patients with PD with varying levels of cognitive impairment; and secondly, we investigated the relationship between the thickness of the midsagittal corpus callosum and the thickness of the cortex. Study participants included cognitively unimpaired PD participants (n = 35), PD participants with mild cognitive impairment (n = 22), PD participants with dementia (n = 17) and healthy controls (n = 27). We found thinning of the callosum in PD-related dementia compared with PD-related mild cognitive impairment and cognitively unimpaired PD participants. Regression analyses found thickness of the left medial orbitofrontal cortex to be positively correlated with thickness of the anterior callosum in PD-related mild cognitive impairment. This study suggests that a midsagittal thickness model can uncover changes to the corpus callosum in PD-related dementia, which occur in line with changes to the cortex in this advanced disease stage.
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- 2022
29. Brain charts for the human lifespan (vol 604, pg 525, 2022)
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Bethlehem, RAI, Seidlitz, J, White, SR, Vogel, JW, Anderson, KM, Adamson, C, Adler, S, Alexopoulos, GS, Anagnostou, E, Areces-Gonzalez, A, Astle, DE, Auyeung, B, Ayub, M, Bae, J, Ball, G, Baron-Cohen, S, Beare, R, Bedford, SA, Benegal, V, Beyer, F, Blangero, J, Blesa Cabez, M, Boardman, JP, Borzage, M, Bosch-Bayard, JF, Bourke, N, Calhoun, VD, Chakravarty, MM, Chen, C, Chertavian, C, Chetelat, G, Chong, YS, Cole, JH, Corvin, A, Costantino, M, Courchesne, E, Crivello, F, Cropley, VL, Crosbie, J, Crossley, N, Delarue, M, Delorme, R, Desrivieres, S, Devenyi, GA, Di Biase, MA, Dolan, R, Donald, KA, Donohoe, G, Dunlop, K, Edwards, AD, Elison, JT, Ellis, CT, Elman, JA, Eyler, L, Fair, DA, Feczko, E, Fletcher, PC, Fonagy, P, Franz, CE, Galan-Garcia, L, Gholipour, A, Giedd, J, Gilmore, JH, Glahn, DC, Goodyer, IM, Grant, PE, Groenewold, NA, Gunning, FM, Gur, RE, Gur, RC, Hammill, CF, Hansson, O, Hedden, T, Heinz, A, Henson, RN, Heuer, K, Hoare, J, Holla, B, Holmes, AJ, Holt, R, Huang, H, Im, K, Ipser, J, Jack, CR, Jackowski, AP, Jia, T, Johnson, KA, Jones, PB, Jones, DT, Kahn, RS, Karlsson, H, Karlsson, L, Kawashima, R, Kelley, EA, Kern, S, Kim, KW, Kitzbichler, MG, Kremen, WS, Lalonde, F, Landeau, B, Lee, S, Lerch, J, Lewis, JD, Li, J, Liao, W, Liston, C, Lombardo, MV, Lv, J, Lynch, C, Mallard, TT, Marcelis, M, Markello, RD, Mathias, SR, Mazoyer, B, McGuire, P, Meaney, MJ, Mechelli, A, Medic, N, Misic, B, Morgan, SE, Mothersill, D, Nigg, J, Ong, MQW, Ortinau, C, Ossenkoppele, R, Ouyang, M, Palaniyappan, L, Paly, L, Pan, PM, Pantelis, C, Park, MM, Paus, T, Pausova, Z, Paz-Linares, D, Pichet Binette, A, Pierce, K, Qian, X, Qiu, J, Qiu, A, Raznahan, A, Rittman, T, Rodrigue, A, Rollins, CK, Romero-Garcia, R, Ronan, L, Rosenberg, MD, Rowitch, DH, Salum, GA, Satterthwaite, TD, Schaare, HL, Schachar, RJ, Schultz, AP, Schumann, G, Scholl, M, Sharp, D, Shinohara, RT, Skoog, I, Smyser, CD, Sperling, RA, Stein, DJ, Stolicyn, A, Suckling, J, Sullivan, G, Taki, Y, Thyreau, B, Toro, R, Traut, N, Tsvetanov, KA, Turk-Browne, NB, Tuulari, JJ, Tzourio, C, Vachon-Presseau, E, Valdes-Sosa, MJ, Valdes-Sosa, PA, Valk, SL, van Amelsvoort, T, Vandekar, SN, Vasung, L, Victoria, LW, Villeneuve, S, Villringer, A, Vertes, PE, Wagstyl, K, Wang, YS, Warfield, SK, Warrier, V, Westman, E, Westwater, ML, Whalley, HC, Witte, AV, Yang, N, Yeo, B, Yun, H, Zalesky, A, Zar, HJ, Zettergren, A, Zhou, JH, Ziauddeen, H, Zugman, A, Zuo, XN, Bullmore, ET, Alexander-Bloch, AF, Bethlehem, RAI, Seidlitz, J, White, SR, Vogel, JW, Anderson, KM, Adamson, C, Adler, S, Alexopoulos, GS, Anagnostou, E, Areces-Gonzalez, A, Astle, DE, Auyeung, B, Ayub, M, Bae, J, Ball, G, Baron-Cohen, S, Beare, R, Bedford, SA, Benegal, V, Beyer, F, Blangero, J, Blesa Cabez, M, Boardman, JP, Borzage, M, Bosch-Bayard, JF, Bourke, N, Calhoun, VD, Chakravarty, MM, Chen, C, Chertavian, C, Chetelat, G, Chong, YS, Cole, JH, Corvin, A, Costantino, M, Courchesne, E, Crivello, F, Cropley, VL, Crosbie, J, Crossley, N, Delarue, M, Delorme, R, Desrivieres, S, Devenyi, GA, Di Biase, MA, Dolan, R, Donald, KA, Donohoe, G, Dunlop, K, Edwards, AD, Elison, JT, Ellis, CT, Elman, JA, Eyler, L, Fair, DA, Feczko, E, Fletcher, PC, Fonagy, P, Franz, CE, Galan-Garcia, L, Gholipour, A, Giedd, J, Gilmore, JH, Glahn, DC, Goodyer, IM, Grant, PE, Groenewold, NA, Gunning, FM, Gur, RE, Gur, RC, Hammill, CF, Hansson, O, Hedden, T, Heinz, A, Henson, RN, Heuer, K, Hoare, J, Holla, B, Holmes, AJ, Holt, R, Huang, H, Im, K, Ipser, J, Jack, CR, Jackowski, AP, Jia, T, Johnson, KA, Jones, PB, Jones, DT, Kahn, RS, Karlsson, H, Karlsson, L, Kawashima, R, Kelley, EA, Kern, S, Kim, KW, Kitzbichler, MG, Kremen, WS, Lalonde, F, Landeau, B, Lee, S, Lerch, J, Lewis, JD, Li, J, Liao, W, Liston, C, Lombardo, MV, Lv, J, Lynch, C, Mallard, TT, Marcelis, M, Markello, RD, Mathias, SR, Mazoyer, B, McGuire, P, Meaney, MJ, Mechelli, A, Medic, N, Misic, B, Morgan, SE, Mothersill, D, Nigg, J, Ong, MQW, Ortinau, C, Ossenkoppele, R, Ouyang, M, Palaniyappan, L, Paly, L, Pan, PM, Pantelis, C, Park, MM, Paus, T, Pausova, Z, Paz-Linares, D, Pichet Binette, A, Pierce, K, Qian, X, Qiu, J, Qiu, A, Raznahan, A, Rittman, T, Rodrigue, A, Rollins, CK, Romero-Garcia, R, Ronan, L, Rosenberg, MD, Rowitch, DH, Salum, GA, Satterthwaite, TD, Schaare, HL, Schachar, RJ, Schultz, AP, Schumann, G, Scholl, M, Sharp, D, Shinohara, RT, Skoog, I, Smyser, CD, Sperling, RA, Stein, DJ, Stolicyn, A, Suckling, J, Sullivan, G, Taki, Y, Thyreau, B, Toro, R, Traut, N, Tsvetanov, KA, Turk-Browne, NB, Tuulari, JJ, Tzourio, C, Vachon-Presseau, E, Valdes-Sosa, MJ, Valdes-Sosa, PA, Valk, SL, van Amelsvoort, T, Vandekar, SN, Vasung, L, Victoria, LW, Villeneuve, S, Villringer, A, Vertes, PE, Wagstyl, K, Wang, YS, Warfield, SK, Warrier, V, Westman, E, Westwater, ML, Whalley, HC, Witte, AV, Yang, N, Yeo, B, Yun, H, Zalesky, A, Zar, HJ, Zettergren, A, Zhou, JH, Ziauddeen, H, Zugman, A, Zuo, XN, Bullmore, ET, and Alexander-Bloch, AF
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30. The Neuroinflammatory Acute Phase Response in Parkinsonian-Related Disorders
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Ayton, S, Hall, S, Janelidze, S, Kalinowski, P, Palmqvist, S, Belaidi, AA, Roberts, B, Roberts, A, Stomrud, E, Bush, A, Hansson, O, Ayton, S, Hall, S, Janelidze, S, Kalinowski, P, Palmqvist, S, Belaidi, AA, Roberts, B, Roberts, A, Stomrud, E, Bush, A, and Hansson, O
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- 2022
31. Cerebrospinal fluid neurofilament light chain differentiates primary psychiatric disorders from rapidly progressive, Alzheimer's disease and frontotemporal disorders in clinical settings
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Eratne, D, Loi, SM, Qiao-Xin, L, Stehmann, C, Malpas, CB, Santillo, A, Janelidze, S, Cadwallader, C, Walia, N, Ney, B, Lewis, V, Senesi, M, Fowler, C, McGlade, A, Varghese, S, Ravanfar, P, Kelso, W, Farrand, S, Keem, M, Kang, M, Goh, AMY, Dhiman, K, Gupta, V, Watson, R, Yassi, N, Kaylor-Hughes, C, Kanaan, R, Perucca, P, Dobson, H, Vivash, L, Ali, R, O'Brien, TJ, Hansson, O, Zetterberg, H, Blennow, K, Walterfang, M, Masters, CL, Berkovic, SF, Collins, S, Velakoulis, D, Eratne, D, Loi, SM, Qiao-Xin, L, Stehmann, C, Malpas, CB, Santillo, A, Janelidze, S, Cadwallader, C, Walia, N, Ney, B, Lewis, V, Senesi, M, Fowler, C, McGlade, A, Varghese, S, Ravanfar, P, Kelso, W, Farrand, S, Keem, M, Kang, M, Goh, AMY, Dhiman, K, Gupta, V, Watson, R, Yassi, N, Kaylor-Hughes, C, Kanaan, R, Perucca, P, Dobson, H, Vivash, L, Ali, R, O'Brien, TJ, Hansson, O, Zetterberg, H, Blennow, K, Walterfang, M, Masters, CL, Berkovic, SF, Collins, S, and Velakoulis, D
- Abstract
INTRODUCTION: Many patients with cognitive and neuropsychiatric symptoms face diagnostic delay and misdiagnosis. We investigated whether cerebrospinal fluid (CSF) neurofilament light (NfL) and total-tau (t-tau) could assist in the clinical scenario of differentiating neurodegenerative (ND) from psychiatric disorders (PSY), and rapidly progressive disorders. METHODS: Biomarkers were examined in patients from specialist services (ND and PSY) and a national Creutzfeldt-Jakob registry (Creutzfeldt-Jakob disease [CJD] and rapidly progressive dementias/atypically rapid variants of common ND, RapidND). RESULTS: A total of 498 participants were included: 197 ND, 67 PSY, 161 CJD, 48 RapidND, and 20 controls. NfL was elevated in ND compared to PSY and controls, with highest levels in CJD and RapidND. NfL distinguished ND from PSY with 95%/78% positive/negative predictive value, 92%/87% sensitivity/specificity, 91% accuracy. NfL outperformed t-tau in most real-life clinical diagnostic dilemma scenarios, except distinguishing CJD from RapidND. DISCUSSION: We demonstrated strong generalizable evidence for the diagnostic utility of CSF NfL in differentiating ND from psychiatric disorders, with high accuracy.
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- 2022
32. Plasma neurofilament light chain protein is not increased in treatment-resistant schizophrenia and first-degree relatives
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Eratne, D, Janelidze, S, Malpas, CB, Loi, S, Walterfane, M, Merritt, A, Diouf, I, Blennow, K, Zetterberg, H, Cilia, B, Warman, C, Bousman, C, Everall, I, Zalesky, A, Jayaram, M, Thomas, N, Berkovic, SF, Hansson, O, Velakoulis, D, Pantelis, C, Santillo, A, Eratne, D, Janelidze, S, Malpas, CB, Loi, S, Walterfane, M, Merritt, A, Diouf, I, Blennow, K, Zetterberg, H, Cilia, B, Warman, C, Bousman, C, Everall, I, Zalesky, A, Jayaram, M, Thomas, N, Berkovic, SF, Hansson, O, Velakoulis, D, Pantelis, C, and Santillo, A
- Abstract
OBJECTIVE: Schizophrenia, a complex psychiatric disorder, is often associated with cognitive, neurological and neuroimaging abnormalities. The processes underlying these abnormalities, and whether a subset of people with schizophrenia have a neuroprogressive or neurodegenerative component to schizophrenia, remain largely unknown. Examining fluid biomarkers of diverse types of neuronal damage could increase our understanding of these processes, as well as potentially provide clinically useful biomarkers, for example with assisting with differentiation from progressive neurodegenerative disorders such as Alzheimer and frontotemporal dementias. METHODS: This study measured plasma neurofilament light chain protein (NfL) using ultrasensitive Simoa technology, to investigate the degree of neuronal injury in a well-characterised cohort of people with treatment-resistant schizophrenia on clozapine (n = 82), compared to first-degree relatives (an at-risk group, n = 37), people with schizophrenia not treated with clozapine (n = 13), and age- and sex-matched controls (n = 59). RESULTS: We found no differences in NfL levels between treatment-resistant schizophrenia (mean NfL, M = 6.3 pg/mL, 95% confidence interval: [5.5, 7.2]), first-degree relatives (siblings, M = 6.7 pg/mL, 95% confidence interval: [5.2, 8.2]; parents, M after adjusting for age = 6.7 pg/mL, 95% confidence interval: [4.7, 8.8]), controls (M = 5.8 pg/mL, 95% confidence interval: [5.3, 6.3]) and not treated with clozapine (M = 4.9 pg/mL, 95% confidence interval: [4.0, 5.8]). Exploratory, hypothesis-generating analyses found weak correlations in treatment-resistant schizophrenia, between NfL and clozapine levels (Spearman's r = 0.258, 95% confidence interval: [0.034, 0.457]), dyslipidaemia (r = 0.280, 95% confidence interval: [0.064, 0.470]) and a negative correlation with weight (r = -0.305, 95% confidence interval: [-0.504, -0.076]). CONCLUSION: Treatment-resistant schizophrenia does not appear to be associated
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- 2022
33. Blood Biomarkers from Research Use to Clinical Practice: What Must Be Done? A Report from the EU/US CTAD Task Force.
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Angioni, D, Angioni, D, Delrieu, J, Hansson, O, Fillit, H, Aisen, P, Cummings, J, Sims, JR, Braunstein, JB, Sabbagh, M, Bittner, T, Pontecorvo, M, Bozeat, S, Dage, JL, Largent, E, Mattke, S, Correa, O, Gutierrez Robledo, LM, Baldivieso, V, Willis, DR, Atri, A, Bateman, RJ, Ousset, P-J, Vellas, B, Weiner, M, Angioni, D, Angioni, D, Delrieu, J, Hansson, O, Fillit, H, Aisen, P, Cummings, J, Sims, JR, Braunstein, JB, Sabbagh, M, Bittner, T, Pontecorvo, M, Bozeat, S, Dage, JL, Largent, E, Mattke, S, Correa, O, Gutierrez Robledo, LM, Baldivieso, V, Willis, DR, Atri, A, Bateman, RJ, Ousset, P-J, Vellas, B, and Weiner, M
- Abstract
Timely and accurate diagnosis of Alzheimer's disease (AD) in clinical practice remains challenging. PET and CSF biomarkers are the most widely used biomarkers to aid diagnosis in clinical research but present limitations for clinical practice (i.e., cost, accessibility). Emerging blood-based markers have the potential to be accurate, cost-effective, and easily accessible for widespread clinical use, and could facilitate timely diagnosis. The EU/US CTAD Task Force met in May 2022 in a virtual meeting to discuss pathways to implementation of blood-based markers in clinical practice. Specifically, the CTAD Task Force assessed: the state-of-art for blood-based markers, the current use of blood-based markers in clinical trials, the potential use of blood-based markers in clinical practice, the current challenges with blood-based markers, and the next steps needed for broader adoption in clinical practice.
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- 2022
34. N1-Methylnicotinamide : Is it Time to Consider it as a Dietary Supplement for Athletes?
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Nejabati, H. R., Ghaffari-Novin, M., Fathi-Maroufi, N., Faridvand, Yousef, Holmberg, Hans-Christer, Hansson, O., Nikanfar, S., Nouri, M., Nejabati, H. R., Ghaffari-Novin, M., Fathi-Maroufi, N., Faridvand, Yousef, Holmberg, Hans-Christer, Hansson, O., Nikanfar, S., and Nouri, M.
- Abstract
Exercise is considered to be a “medicine” due to its modulatory roles in metabolic disorders, such as diabetes and obesity. The intensity and duration of exercise determine the mechanism of energy production by various tissues of the body, especially by muscles, in which the requirement for adenosine triphosphate (ATP) increases by as much as 100-fold. Naturally, athletes try to improve their exercise performance by dietary supplementation with, e.g., vitamins, metabolites, and amino acids. MNAM, as a vitamin B3 metabolite, reduc-es serum levels and liver contents of triglycerides and cholesterol, and induces lipolysis. It stimulates gluconeo-genesis and prohibits liver cholesterol and fatty acid synthesis through the expression of sirtuin1 (SIRT1). It seems that MNAM is not responsible for the actions of NNMT in the adipose tissues as MNAM inhibits the activity of NNMT in the adipose tissue and acts as an inhibitor of its activity. NNMT-MNAM axis is more activated in the muscles of individuals undergoing the high-volume-low-intensity exercise and caloric restriction. Therefore, MNAM could be an important myokine during exercise and fasting where it provides the required energy for muscles through the induction of lipolysis and gluconeogenesis in the liver and adipose tissues, respectively. Increased levels of MNAM in exercise and fasting led us to propose that the consumption of MNAM during training, especially endurance training, could boost exercise capacity and improve perfor-mance. Therefore, in this review, we shed light on the potential of MNAM as a dietary supplement in sports medicine.
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- 2022
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35. Identification of Mechanical Load in Cutting Tools Using an Artificial Neural Network
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International Conference on Manufacturing Engineering (6th : 1995 : Melbourne, Vic.), Zhou, JM, Hansson, O, Sturesson, POH, and Stahl, JE
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- 1995
36. POS0116 PLASMA AND CEREBROSPINAL FLUID NEUROFILAMENT LIGHT CONCENTRATIONS REFLECT NEURONAL DAMAGE IN SYSTEMIC LUPUS ERYTHEMATOSUS
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Zervides, K., primary, Janelidze, S., additional, Nystedt, J., additional, Gullstrand, B., additional, Nilsson, P., additional, Sundgren, P., additional, Bengtsson, A., additional, Hansson, O., additional, and Jonsen, A., additional
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- 2022
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37. LifeTime and improving European healthcare through cell-based interceptive medicine
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Rajewsky, N., Almouzni, G., Gorski, S., Aerts, S., Amit, I., Bertero, M., Bock, C., Bredenoord, A., Cavalli, G., Chiocca, S., Clevers, H., Strooper, B., Eggert, A., Ellenberg, J., Fernández, X., Figlerowicz, M., Gasser, S., Hubner, N., Kjems, J., Knoblich, J., Krabbe, G., Lichter, P., Linnarsson, S., Marine, J., Marioni, J., Marti-Renom, M., Netea, M., Nickel, D., Nollmann, M., Novak, H., Parkinson, H., Piccolo, S., Pinheiro, I., Pombo, A., Popp, C., Reik, W., Roman-Roman, S., Rosenstiel, P., Schultze, J., Stegle, O., Tanay, A., Testa, G., Thanos, D., Theis, F., Torres-Padilla, M., Valencia, A., Vallot, C., van Oudenaarden, A., Vidal, M., Voet, T., Alberi, L., Alexander, S., Alexandrov, T., Arenas, E., Bagni, C., Balderas, R., Bandelli, A., Becher, B., Becker, M., Beerenwinkel, N., Benkirame, M., Beyer, M., Bickmore, W., Biessen, E., Blomberg, N., Blumcke, I., Bodenmiller, B., Borroni, B., Boumpas, D., Bourgeron, T., Bowers, S., Braeken, D., Brooksbank, C., Brose, N., Bruining, H., Bury, J., Caporale, N., Cattoretti, G., Chabane, N., Chneiweiss, H., Cook, S., Curatolo, P., de Jonge, M., Deplancke, B., de Witte, P., Dimmeler, S., Draganski, B., Drews, A., Dumbrava, C., Engelhardt, S., Gasser, T., Giamarellos-Bourboulis, E., Graff, C., Grün, D., Gut, I., Hansson, O., Henshall, D., Herland, A., Heutink, P., Heymans, S., Heyn, H., Huch, M., Huitinga, I., Jackowiak, P., Jongsma, K., Journot, L., Junker, J., Katz, S., Kehren, J., Kempa, S., Kirchhof, P., Klein, C., Koralewska, N., Korbel, J., Kühnemund, M., Lamond, A., Lauwers, E., Le Ber, I., Leinonen, V., Tobon, A., Lundberg, E., Lunkes, A., Maatz, H., Mann, M., Marelli, L., Matser, V., Matthews, P., Mechta-Grigoriou, F., Menon, R., Nielsen, A., Pagani, M., Pasterkamp, R., Pitkänen, A., Popescu, V., Pottier, C., Puisieux, A., Rademakers, R., Reiling, D., Reiner, O., Remondini, D., Ritchie, C., Rohrer, J., Saliba, A., Sanchez-Valle, R., Santosuosso, A., Sauter, A., Scheltema, R., Scheltens, P., Schiller, H., Schneider, A., Seibler, P., Sheehan-Rooney, K., Shields, D., Sleegers, K., Smit, A., Smith, K., Smolders, I., Synofzik, M., Tam, W., Teichmann, S., Thom, M., Turco, M., van Beusekom, H., Vandenberghe, R., den Hoecke, S., de Poel, I., van der Ven, A., van der Zee, J., van Lunzen, J., van Minnebruggen, G., Paesschen, W., van Swieten, J., van Vught, R., Verhage, M., Verstreken, P., Villa, C., Vogel, J., von Kalle, C., Walter, J., Weckhuysen, S., Weichert, W., Wood, L., Ziegler, A., Zipp, F., HZI,Helmholtz-Zentrum für Infektionsforschung GmbH, Inhoffenstr. 7,38124 Braunschweig, Germany., Medical Research Council (MRC), UK DRI Ltd, TWINCORE, Zentrum für experimentelle und klinische Infektionsforschung GmbH,Feodor-Lynen Str. 7, 30625 Hannover, Germany., Barcelona Supercomputing Center, LifeTime Community Working Groups, Cardiology, Neurology, Institut de génétique humaine (IGH), Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS), Amsterdam Neuroscience - Cellular & Molecular Mechanisms, Human genetics, Rajewsky N., Almouzni G., Gorski S.A., Aerts S., Amit I., Bertero M.G., Bock C., Bredenoord A.L., Cavalli G., Chiocca S., Clevers H., De Strooper B., Eggert A., Ellenberg J., Fernandez X.M., Figlerowicz M., Gasser S.M., Hubner N., Kjems J., Knoblich J.A., Krabbe G., Lichter P., Linnarsson S., Marine J.-C., Marioni J.C., Marti-Renom M.A., Netea M.G., Nickel D., Nollmann M., Novak H.R., Parkinson H., Piccolo S., Pinheiro I., Pombo A., Popp C., Reik W., Roman-Roman S., Rosenstiel P., Schultze J.L., Stegle O., Tanay A., Testa G., Thanos D., Theis F.J., Torres-Padilla M.-E., Valencia A., Vallot C., van Oudenaarden A., Vidal M., Voet T., Alberi L., Alexander S., Alexandrov T., Arenas E., Bagni C., Balderas R., Bandelli A., Becher B., Becker M., Beerenwinkel N., Benkirame M., Beyer M., Bickmore W., Biessen E.E.A.L., Blomberg N., Blumcke I., Bodenmiller B., Borroni B., Boumpas D.T., Bourgeron T., Bowers S., Braeken D., Brooksbank C., Brose N., Bruining H., Bury J., Caporale N., Cattoretti G., Chabane N., Chneiweiss H., Cook S.A., Curatolo P., de Jonge M.I., Deplancke B., de Witte P., Dimmeler S., Draganski B., Drews A., Dumbrava C., Engelhardt S., Gasser T., Giamarellos-Bourboulis E.J., Graff C., Grun D., Gut I., Hansson O., Henshall D.C., Herland A., Heutink P., Heymans S.R.B., Heyn H., Huch M., Huitinga I., Jackowiak P., Jongsma K.R., Journot L., Junker J.P., Katz S., Kehren J., Kempa S., Kirchhof P., Klein C., Koralewska N., Korbel J.O., Kuhnemund M., Lamond A.I., Lauwers E., Le Ber I., Leinonen V., Tobon A.L., Lundberg E., Lunkes A., Maatz H., Mann M., Marelli L., Matser V., Matthews P.M., Mechta-Grigoriou F., Menon R., Nielsen A.F., Pagani M., Pasterkamp R.J., Pitkanen A., Popescu V., Pottier C., Puisieux A., Rademakers R., Reiling D., Reiner O., Remondini D., Ritchie C., Rohrer J.D., Saliba A.-E., Sanchez-Valle R., Santosuosso A., Sauter A., Scheltema R.A., Scheltens P., Schiller H.B., Schneider A., Seibler P., Sheehan-Rooney K., Shields D., Sleegers K., Smit A.B., Smith K.G.C., Smolders I., Synofzik M., Tam W.L., Teichmann S., Thom M., Turco M.Y., van Beusekom H.M.M., Vandenberghe R., Van den Hoecke S., Van de Poel I., van der Ven A., van der Zee J., van Lunzen J., van Minnebruggen G., Van Paesschen W., van Swieten J., van Vught R., Verhage M., Verstreken P., Villa C.E., Vogel J., von Kalle C., Walter J., Weckhuysen S., Weichert W., Wood L., Ziegler A.-G., Zipp F., Center for Neurogenomics and Cognitive Research, Functional Genomics, Rajewsky, N, Almouzni, G, Gorski, S, Aerts, S, Amit, I, Bertero, M, Bock, C, Bredenoord, A, Cavalli, G, Chiocca, S, Clevers, H, De Strooper, B, Eggert, A, Ellenberg, J, Fernández, X, Figlerowicz, M, Gasser, S, Hubner, N, Kjems, J, Knoblich, J, Krabbe, G, Lichter, P, Linnarsson, S, Marine, J, Marioni, J, Marti-Renom, M, Netea, M, Nickel, D, Nollmann, M, Novak, H, Parkinson, H, Piccolo, S, Pinheiro, I, Pombo, A, Popp, C, Reik, W, Roman-Roman, S, Rosenstiel, P, Schultze, J, Stegle, O, Tanay, A, Testa, G, Thanos, D, Theis, F, Torres-Padilla, M, Valencia, A, Vallot, C, van Oudenaarden, A, Vidal, M, Voet, T, Cattoretti, G, Alliance for Modulation in Epilepsy, Pharmaceutical and Pharmacological Sciences, Experimental Pharmacology, RS: Carim - H02 Cardiomyopathy, MUMC+: MA Med Staf Spec Cardiologie (9), and Cardiologie
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0301 basic medicine ,Male ,Artificial intelligence ,Legislation, Medical ,[SDV]Life Sciences [q-bio] ,Molecular datasets ,lnfectious Diseases and Global Health Radboud Institute for Molecular Life Sciences [Radboudumc 4] ,Cell- and Tissue-Based Therapy ,Diseases ,LifeTime Community Working Groups ,Disease ,Biomarkers ,Systems biology ,Health data ,Pharmacology, Toxicology and Pharmaceutics(all) ,0302 clinical medicine ,Conjunts de dades ,ethics [Delivery of Health Care] ,Health care ,Pathology ,Medicine ,European healthcare ,BRAIN ,Single-cell multi-omics ,GENE-EXPRESSION ,Multidisciplinary ,methods [Medicine] ,Education, Medical ,Settore BIO/13 ,Intel.ligència artificial ,3. Good health ,ALZHEIMERS-DISEASE ,Europe ,Health ,Management system ,Perspective ,Female ,ddc:500 ,Single-Cell Analysis ,Biomarkers, Diseases, Systems biology ,Complex diseases ,Informàtica::Aplicacions de la informàtica::Bioinformàtica [Àrees temàtiques de la UPC] ,medicine.medical_specialty ,General Science & Technology ,Cells ,MEDLINE ,cell-based interceptive medicine ,LifeTime Initiative ,03 medical and health sciences ,SDG 3 - Good Health and Well-being ,Clinical datasets ,Artificial Intelligence ,REVEALS ,LifeTime Community ,standards [Medicine] ,Humans ,OMICS ,RECONSTRUCTION ,Intensive care medicine ,trends [Medicine] ,trends [Delivery of Health Care] ,business.industry ,Disease progression ,standards [Delivery of Health Care] ,methods [Delivery of Health Care] ,030104 developmental biology ,lnfectious Diseases and Global Health Radboud Institute for Health Sciences [Radboudumc 4] ,single cell, personalized therapy, machine learning, bioinformatics, systems biology, disease, cell-based interceptive medicine ,Early Diagnosis ,Cardiovascular and Metabolic Diseases ,Human medicine ,business ,Delivery of Health Care ,030217 neurology & neurosurgery ,Cell based - Abstract
Here we describe the LifeTime Initiative, which aims to track, understand and target human cells during the onset and progression of complex diseases, and to analyse their response to therapy at single-cell resolution. This mission will be implemented through the development, integration and application of single-cell multi-omics and imaging, artificial intelligence and patient-derived experimental disease models during the progression from health to disease. The analysis of large molecular and clinical datasets will identify molecular mechanisms, create predictive computational models of disease progression, and reveal new drug targets and therapies. The timely detection and interception of disease embedded in an ethical and patient-centred vision will be achieved through interactions across academia, hospitals, patient associations, health data management systems and industry. The application of this strategy to key medical challenges in cancer, neurological and neuropsychiatric disorders, and infectious, chronic inflammatory and cardiovascular diseases at the single-cell level will usher in cell-based interceptive medicine in Europe over the next decade., The LifeTime initiative is an ambitious, multidisciplinary programme that aims to improve healthcare by tracking individual human cells during disease processes and responses to treatment in order to develop and implement cell-based interceptive medicine in Europe.
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- 2020
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38. Low IL-8 is associated with anxiety in suicidal patients: genetic variation and decreased protein levels
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Janelidze, S., Suchankova, P., Ekman, A., Erhardt, S., Sellgren, C., Samuelsson, M., Westrin, A., Minthon, L., Hansson, O., Träskman-Bendz, L., and Brundin, L.
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- 2015
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39. Evolution of Aβ42 and Aβ40 levels and Aβ42/Aβ40 ratio in plasma during progression of Alzheimer's disease: A multicenter assessment
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Blennow, K., De Meyer, G., Hansson, O., Minthon, L., Wallin, A., Zetterberg, H., Lewczuk, P., Vanderstichele, H., Vanmechelen, E., Kornhuber, J., and Wiltfang, J.
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- 2009
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40. Role of TCF7L2 risk variant and dietary fibre intake on incident type 2 diabetes
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Hindy, G., Sonestedt, E., Ericson, U., Jing, X.-J., Zhou, Y., Hansson, O., Renström, E., Wirfält, E., and Orho-Melander, M.
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- 2012
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41. A common variant upstream of the PAX6 gene influences islet function in man
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Ahlqvist, E., Turrini, F., Lang, S. T., Taneera, J., Zhou, Y., Almgren, P., Hansson, O., Isomaa, B., Tuomi, T., Eriksson, K., Eriksson, J. G., Lyssenko, V., and Groop, L.
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- 2012
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42. Automatic data processing of reference DNA-profiles from FTA and non-FTA samples
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Hansson, O. and Albinsson, L.
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- 2008
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43. Extensive changes in the transcriptional profile of human adipose tissue including genes involved in oxidative phosphorylation after a 6-month exercise intervention
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Rönn, T., Volkov, P., Tornberg, Å., Elgzyri, T., Hansson, O., Eriksson, K.-F., Groop, L., and Ling, C.
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- 2014
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44. Unique splicing pattern of the TCF7L2 gene in human pancreatic islets
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Osmark, P., Hansson, O., Jonsson, A., Rönn, T., Groop, L., and Renström, E.
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- 2009
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45. A new perspective for advanced positron emission tomography–based molecular imaging in neurodegenerative proteinopathies
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Perani, D, Iaccarino, L, Lammertsma, A, Windhorst, A, Edison, P, Boellaard, R, Hansson, O, Nordberg, A, Jacobs, A, Bottlaender, M, Brooks, D, Carroll, M, Chalon, S, Gee, A, Gerhard, A, Halldin, C, Herholz, K, Herth, M, Hinz, R, Knudsen, G, Kuhnast, B, Lopez-Picon, F, Moresco, R, Pappata, S, Rinne, J, Rodriguez-Vieitez, E, Santiago-Ribeiro, M, Turkheimer, F, Van Laere, K, Varrone, A, Vercouillie, J, Winkeler, A, Perani D., Iaccarino L., Lammertsma A. A., Windhorst A. D., Edison P., Boellaard R., Hansson O., Nordberg A., Jacobs A. H., Bottlaender M., Brooks D., Carroll M. A., Chalon S., Gee A., Gerhard A., Halldin C., Herholz K., Herth M. M., Hinz R., Knudsen G. M., Kuhnast B., Lopez-Picon F., Moresco R. M., Pappata S., Rinne J. O., Rodriguez-Vieitez E., Santiago-Ribeiro M. J., Turkheimer F. E., Van Laere K., Varrone A., Vercouillie J., Winkeler A., Perani, D, Iaccarino, L, Lammertsma, A, Windhorst, A, Edison, P, Boellaard, R, Hansson, O, Nordberg, A, Jacobs, A, Bottlaender, M, Brooks, D, Carroll, M, Chalon, S, Gee, A, Gerhard, A, Halldin, C, Herholz, K, Herth, M, Hinz, R, Knudsen, G, Kuhnast, B, Lopez-Picon, F, Moresco, R, Pappata, S, Rinne, J, Rodriguez-Vieitez, E, Santiago-Ribeiro, M, Turkheimer, F, Van Laere, K, Varrone, A, Vercouillie, J, Winkeler, A, Perani D., Iaccarino L., Lammertsma A. A., Windhorst A. D., Edison P., Boellaard R., Hansson O., Nordberg A., Jacobs A. H., Bottlaender M., Brooks D., Carroll M. A., Chalon S., Gee A., Gerhard A., Halldin C., Herholz K., Herth M. M., Hinz R., Knudsen G. M., Kuhnast B., Lopez-Picon F., Moresco R. M., Pappata S., Rinne J. O., Rodriguez-Vieitez E., Santiago-Ribeiro M. J., Turkheimer F. E., Van Laere K., Varrone A., Vercouillie J., and Winkeler A.
- Abstract
Recent studies in neurodegenerative conditions have increasingly highlighted that the same neuropathology can trigger different clinical phenotypes or, vice-versa, that similar phenotypes can be triggered by different neuropathologies. This evidence has called for the adoption of a pathology spectrum-based approach to study neurodegenerative proteinopathies. These conditions share brain deposition of abnormal protein aggregates, leading to aberrant biochemical, metabolic, functional, and structural changes. Positron emission tomography (PET) is a well-recognized and unique tool for the in vivo assessment of brain neuropathology, and novel PET techniques are emerging for the study of specific protein species. Today, key applications of PET range from early research and clinical diagnostic tools to their use in clinical trials for both participants screening and outcome evaluation. This position article critically reviews the role of distinct PET molecular tracers for different neurodegenerative proteinopathies, highlighting their strengths, weaknesses, and opportunities, with special emphasis on methodological challenges and future applications.
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- 2019
46. Application of advanced brain positron emission tomography–based molecular imaging for a biological framework in neurodegenerative proteinopathies
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Perani, D, Iaccarino, L, Jacobs, A, Lammertsma, A, Nordberg, A, Windhorst, A, Gerhard, A, Winkeler, A, Gee, A, Kuhnast, B, Halldin, C, Brooks, D, Rodriguez-Vieitez, E, Turkheimer, F, Lopez-Picon, F, Knudsen, G, Vercouillie, J, Rinne, J, Herholz, K, Van Laere, K, Santiago-Ribeiro, M, Herth, M, Carroll, M, Bottlaender, M, Hansson, O, Edison, P, Hinz, R, Boellaard, R, Moresco, R, Pappata, S, Perani D., Iaccarino L., Jacobs A. H., Lammertsma A. A., Nordberg A., Windhorst A. D., Gerhard A., Winkeler A., Gee A., Kuhnast B., Halldin C., Brooks D., Rodriguez-Vieitez E., Turkheimer F. E., Lopez-Picon F., Knudsen G. M., Vercouillie J., Rinne J. O., Herholz K., Van Laere K., Santiago-Ribeiro M. J., Herth M. M., Carroll M. A., Bottlaender M., Hansson O., Edison P., Hinz R., Boellaard R., Moresco R. M., Pappata S., Perani, D, Iaccarino, L, Jacobs, A, Lammertsma, A, Nordberg, A, Windhorst, A, Gerhard, A, Winkeler, A, Gee, A, Kuhnast, B, Halldin, C, Brooks, D, Rodriguez-Vieitez, E, Turkheimer, F, Lopez-Picon, F, Knudsen, G, Vercouillie, J, Rinne, J, Herholz, K, Van Laere, K, Santiago-Ribeiro, M, Herth, M, Carroll, M, Bottlaender, M, Hansson, O, Edison, P, Hinz, R, Boellaard, R, Moresco, R, Pappata, S, Perani D., Iaccarino L., Jacobs A. H., Lammertsma A. A., Nordberg A., Windhorst A. D., Gerhard A., Winkeler A., Gee A., Kuhnast B., Halldin C., Brooks D., Rodriguez-Vieitez E., Turkheimer F. E., Lopez-Picon F., Knudsen G. M., Vercouillie J., Rinne J. O., Herholz K., Van Laere K., Santiago-Ribeiro M. J., Herth M. M., Carroll M. A., Bottlaender M., Hansson O., Edison P., Hinz R., Boellaard R., Moresco R. M., and Pappata S.
- Abstract
Introduction: A rapid transition from a clinical-based classification to a pathology-based classification of neurodegenerative conditions, largely promoted by the increasing availability of imaging biomarkers, is emerging. The Framework for Innovative Multi-tracer molecular Brain Imaging, funded by the EU Joint Program - Neurodegenerative Disease Research 2016 “Working Groups for Harmonisation and Alignment in Brain Imaging Methods for Neurodegeneration,” aimed at providing a roadmap for the applications of established and new molecular imaging techniques in dementia. Methods: We consider current and future implications of adopting a pathology-based framework for the use and development of positron emission tomography techniques. Results: This approach will enhance efforts to understand the multifactorial etiology of Alzheimer's disease and other dementias. Discussion: The availability of pathology biomarkers will soon transform clinical and research practice. Crucially, a comprehensive understanding of strengths and caveats of these techniques will promote an informed use to take full advantage of these tools.
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- 2019
47. 1st Conference Clinical Trials on Alzheimer’s Disease September 17-18-19, 2008 School of Medecine Montpellier, France
- Author
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Gabelle, A., Roche, S., Gény, C., Portet, F., Touchon, J., Lehmann, S., De Meyer, G., Shapiro, F., Vanderstichele, H., Vanmechelen, E., Engelborghs, S., De Deyn, P. P., Shaw, L., Trojanowski, J., Nestor, S. M., Rupsingh, R., Borrie, M., Smith, M., Wells, J. L., Bartha, R., Blennow, K., De Meyer, G., Hansson, O., Minthon, L., Wallin, A., Zetterberg, H., Lewezuk, P., Vandertischele, H., Kornhuber, J., Wiltfang, J., Iqbal, K., Chalbot, S., Grundke-Iqbal, I., Gertz, H. J., Berwig, M., Leicht, H., Zhu, C. W., Leibman, C., Townsend, R., Mclaughlin, T., Scarmeas, N., Albert, M., Brandt, J., Blacker, D., Sano, M., Stern, Y., Bravo, G., Dubois, M. F., Hansel, S., Duguet, A. M., Robert, P. H., Deudon, A., Ake, N., Gervais, X., Leone, E., Lavallart, B., Amato, D., Zavitz, K., Green, R. C., Schneider, L. S., Swabb, E., Van Kan, G. Abellan, Carrie, I., Gillette, S., Soto, M. E., Gardette, J., Przybylski, C., Andrieu, S., Vellas, B., Dangour, A. D., Allen, E., Elbourne, D., Fletcher, A., Richards, M., Uauy, R., Green, R. C., Schneider, L. S., Zavitz, K. H., Wurtman, R. J., Peters, O., Lorenz, D., Möller, H. J., Frölich, L., Heuser, I., Vandenberghe, R., Thurfjell, L., Owenius, R., Brooks, D. J., Nelissen, N., Koole, M., Bormans, G., Van Laere, K., Boada, M., Muñoz, J., Tárraga, L., Ortiz, P., Hernández, I., Becker, J., López, O., Buendia, M., Pla, R., Grifols, J. R., Paez, A., Núñez, L., Ferrer, I., Lachno, D. R., De Groote, G., Kostanjevecki, V., Siemers, E. R., Willey, M. B., Ruiz, A., Ramírez-Lorca, R., Sáez, M. E., Mauleón, A., Rosende-Roca, M., Martínez-Lage, P., Gutiérrez, M., Real, L. Miguel, López-arrieta, J., Gayán, J., Antúnez, C., González-Pérez, A., Hugonot-Diener, L., Bchiri, J. El, Fraisse, M. L., Von Raison, F., Bone, M., Duron, E., Husson, J. M., Meeuwsen, E. J., Melis, R. J. F., Adang, E. M., Krabbe, P. F., Schölzel-Dorenbos, C. J. M., Ruckert, M. G. M. Olde, Truemner, J., Best, S., Lozanski, M., Nsiah, C., Wells, J., Tractenberg, R. E., Tractenberg, R. E., Chu, L. W., Yik, P. Y., Mok, W., Chung, C. P., Gauthier, S., Douillet, P., Doody, R., Fox, N. C., Orgogozo, J. M., Ingenbleek, Y., Bienvenu, J., Molloy, D. W., Standish, T., Cowan, D., Almeida, E., Diloreto, P., Woolmore-Goodwin, S., Clarke, J., Berardi, P., Smith, M., Purcell, T., Woolmore-Goodwin, S., Gutmanis, I., Borrie, M., Robert, P. H., Reynish, E., Cantet, C., Erder, M. H., Fillit, H., Hofbauer, R. K., Setyawan, J., Tourkodimitris, S., Fridman, M., Lyketsos, C., Unzeta, M., Valente, T., Hidalgo, J., Ramirez, B., Anglés, N., Morelló, J. R., Reguant, J., Boada, M., Claassen, J. A., Van Beek, A. H., Olde Rikkert, M. G., Roca, I., Cuberas, G., Castell, J., Buendia, M., Pla, R., Núñez, L., Ferrer, I., Latger, C., Tramoni, E., Elkhoury, C., Aubert-Khalfa, S., Ceccaldi, M., Schneeberger, A., Mandler, M., Otava, O., Mattner, F., Schmidt, W., Gatignol, P., David, C., Guitton, C., Plaza, M., Szaniszlo, P., German, P., Hajas, G., Kruzel, M., Boldogh, I., Wesnes, K., Satek, S., Turk, P., Satek, S., Vinay, M., Wetten, S., Li, H., Galwey, N., Gibson, R. A., Irizarry, M. C., Nourhashémi, F., Gillette-Guyonnet, S., Andrieu, S., Rolland, Y., Ousset, P. J., Verwey, N. A., Blennow, K., Clark, C., Cole, G. M., De Deyn, P. P., Galasko, D., Hampel, H., Hartmann, T., Kapaki, E., Lannfelt, L., Mehta, P. D., Parnetti, L., Petzold, A., Pirttila, T., Saleh, L., Skinningsrud, A., Swieten, J. C. V., Verbeek, M. M., Wiltfang, J., Younkin, S., Blankenstein, M. A., Ishihara-Paul, L., Viswanathan, A., Allen, J. K., Hyman, B. T., Betensky, R., Weil, J., The Alzheimer’s Disease Neuroimaging Initiative, The MAPT Study Investigators, The Xaliproden Ad Study Team, and the PLASA Group
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- 2008
- Full Text
- View/download PDF
48. Publisher Correction: LifeTime and improving European healthcare through cell-based interceptive medicine (Nature, (2020), 587, 7834, (377-386), 10.1038/s41586-020-2715-9)
- Author
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Rajewsky, N. Almouzni, G. Gorski, S.A. Aerts, S. Amit, I. Bertero, M.G. Bock, C. Bredenoord, A.L. Cavalli, G. Chiocca, S. Clevers, H. De Strooper, B. Eggert, A. Ellenberg, J. Fernández, X.M. Figlerowicz, M. Gasser, S.M. Hubner, N. Kjems, J. Knoblich, J.A. Krabbe, G. Lichter, P. Linnarsson, S. Marine, J.-C. Marioni, J.C. Marti-Renom, M.A. Netea, M.G. Nickel, D. Nollmann, M. Novak, H.R. Parkinson, H. Piccolo, S. Pinheiro, I. Pombo, A. Popp, C. Reik, W. Roman-Roman, S. Rosenstiel, P. Schultze, J.L. Stegle, O. Tanay, A. Testa, G. Thanos, D. Theis, F.J. Torres-Padilla, M.-E. Valencia, A. Vallot, C. van Oudenaarden, A. Vidal, M. Voet, T. Alberi, L. Alexander, S. Alexandrov, T. Arenas, E. Bagni, C. Balderas, R. Bandelli, A. Becher, B. Becker, M. Beerenwinkel, N. Benkirane, M. Beyer, M. Bickmore, W.A. Biessen, E.E.A.L. Blomberg, N. Blumcke, I. Bodenmiller, B. Borroni, B. Boumpas, D.T. Bourgeron, T. Bowers, S. Braeken, D. Brooksbank, C. Brose, N. Bruining, H. Bury, J. Caporale, N. Cattoretti, G. Chabane, N. Chneiweiss, H. Cook, S.A. Curatolo, P. de Jonge, M.I. Deplancke, B. de Witte, P. Dimmeler, S. Draganski, B. Drews, A. Dumbrava, C. Engelhardt, S. Gasser, T. Giamarellos-Bourboulis, E.J. Graff, C. Grün, D. Gut, I.G. Hansson, O. Henshall, D.C. Herland, A. Heutink, P. Heymans, S.R.B. Heyn, H. Huch, M. Huitinga, I. Jackowiak, P. Jongsma, K.R. Journot, L. Junker, J.P. Katz, S. Kehren, J. Kempa, S. Kirchhof, P. Klein, C. Koralewska, N. Korbel, J.O. Kühnemund, M. Lamond, A.I. Lauwers, E. Le Ber, I. Leinonen, V. López-Tobón, A. Lundberg, E. Lunkes, A. Maatz, H. Mann, M. Marelli, L. Matser, V. Matthews, P.M. Mechta-Grigoriou, F. Menon, R. Nielsen, A.F. Pagani, M. Pasterkamp, R.J. Pitkänen, A. Popescu, V. Pottier, C. Puisieux, A. Rademakers, R. Reiling, D. Reiner, O. Remondini, D. Ritchie, C. Rohrer, J.D. Saliba, A.-E. Sanchez-Valle, R. Santosuosso, A. Sauter, A. Scheltema, R.A. Scheltens, P. Schiller, H.B. Schneider, A. Seibler, P. Sheehan-Rooney, K. Shields, D.J. Sleegers, K. Smit, A.B. Smith, K.G.C. Smolders, I. Synofzik, M. Tam, W.L. Teichmann, S.A. Thom, M. Turco, M.Y. van Beusekom, H.M.M. Vandenberghe, R. Van den Hoecke, S. van de Poel, I. van der Ven, A. van der Zee, J. van Lunzen, J. van Minnebruggen, G. van Oudenaarden, A. Van Paesschen, W. van Swieten, J.C. van Vught, R. Verhage, M. Verstreken, P. Villa, C.E. Vogel, J. von Kalle, C. Walter, J. Weckhuysen, S. Weichert, W. Wood, L. Ziegler, A.-G. Zipp, F. LifeTime Community Working Groups
- Subjects
ComputingMethodologies_DOCUMENTANDTEXTPROCESSING - Abstract
In this Perspective, owing to an error in the HTML, the surname of author Alejandro López-Tobón of the LifeTime Community Working Groups consortium was indexed as ‘Tobon’ rather than ‘López-Tobón’ and the accents were missing. The HTML version of the original Perspective has been corrected; the PDF and print versions were always correct. © 2021, The Author(s).
- Published
- 2021
49. Angiogenin-Functionalized Gold Nanoparticles-Graphene Oxide Nanohybrids for Wound Care Application
- Author
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Cucci, L., Riela, L., Hansson, O., Marzo, T., Satriano, C., and La Mendola, D.
- Published
- 2021
50. Age influences DNA methylation and gene expression of COX7A1 in human skeletal muscle
- Author
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Rönn, T., Poulsen, P., Hansson, O., Holmkvist, J., Almgren, P., Nilsson, P., Tuomi, T., Isomaa, B., Groop, L., Vaag, A., and Ling, C.
- Published
- 2008
- Full Text
- View/download PDF
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