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1. Retinal Functional and Structural Neural Indices: Potential Biomarkers for the Monitoring of Cerebral Neurodegeneration: The Maastricht Study

Author

van der Heide, Frank C T, Mokhtar, Sara, Khanna, Anjani, Said, Mozhda, Henry, Ronald M A, Kroon, Abraham A, Dagnelie, Pieter C, Eussen, Simone J P M, Berendschot, Tos T J M, Schouten, Jan S A G, Schram, Miranda T, van der Kallen, Carla J H, van Greevenbroek, Marleen M J, Wesselius, Anke, Savelberg, Hans H C M, Schaper, Nicolaas C, Webers, Carroll A B, Stehouwer, Coen D A, RS: Carim - V01 Vascular complications of diabetes and metabolic syndrome, Interne Geneeskunde, RS: MHeNs - R3 - Neuroscience, MUMC+: HVC Pieken Maastricht Studie (9), MUMC+: HVC Pieken Maastricht Studie (8), RS: Carim - V02 Hypertension and target organ damage, MUMC+: MA Alg Interne Geneeskunde (9), Epidemiologie, RS: CAPHRI - R5 - Optimising Patient Care, Oogheelkunde, MUMC+: MA UECM Oogartsen MUMC (9), RS: MHeNs - R1 - Cognitive Neuropsychiatry and Clinical Neuroscience, RS: NUTRIM - R3 - Respiratory & Age-related Health, Complexe Genetica, RS: NUTRIM - R1 - Obesity, diabetes and cardiovascular health, Nutrition and Movement Sciences, MUMC+: MA Endocrinologie (9), MUMC+: University Eye Center Maastricht (3), MUMC+: *MA Oogheelkunde (3), MUMC+: MA Interne Geneeskunde (3), MUMC+: Centrum voor Chronische Zieken (3), MUMC+: MA Med Staf Artsass Interne Geneeskunde (9), MUMC+: MA Reumatologie (9), MUMC+: MA Nefrologie (9), MUMC+: MA Medische Oncologie (9), MUMC+: MA Hematologie (9), and MUMC+: MA Maag Darm Lever (9)

Subjects
Psychiatry and Mental health, Clinical Psychology, General Neuroscience, General Medicine, Geriatrics and Gerontology
Abstract

BACKGROUND: If retinal indices of neurodegeneration are to be biomarkers for the monitoring of cerebral neurodegeneration, it is important to establish whether potentially modifiable risk factors for dementia are associated with retinal neurodegenerative changes.OBJECTIVE: To study associations of dementia risk factors with retinal sensitivity, an index of retinal neural function, and retinal nerve fiber layer (RNFL) thickness, an index of retinal neural structure.METHODS: We used cross-sectional data from The Maastricht Study (up to 5,666 participants, 50.5% men, mean age 59.7), and investigated associations with regression analyses (adjusted for potential confounders).RESULTS: Most risk factors under study (i.e., hyperglycemia, unhealthy diet, lower cardiorespiratory fitness, smoking, alcohol consumption, and hypertension) were significantly associated with lower retinal sensitivity and lower RNFL thickness.CONCLUSION: Findings of this population-based study support the concept that retinal neural indices may be biomarkers for the monitoring of therapeutic strategies that aim to prevent early-stage cerebral neurodegeneration and, ultimately, dementia.

Published
2023

2. Additional file 1 of Lower heart rate variability, an index of worse autonomic function, is associated with worse beta cell response to a glycemic load in vivo—The Maastricht Study

Author

Rinaldi, Elisabetta, van der Heide, Frank CT, Bonora, Enzo, Trombetta, Maddalena, Zusi, Chiara, Kroon, Abraham A, Schram, Miranda T, van der Kallen, Carla JH, Wesselius, Anke, Bonadonna, Riccardo, Mari, Andrea, Schalkwijk, Casper G, van Greevenbroek, Marleen MJ, and Stehouwer, Coen DA

Abstract

Supplementary Material 1

Published
2023
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3. Supplemental Material - Cardiometabolic risk factors, peripheral arterial tonometry and metformin in adults with type 1 diabetes participating in the REducing with MetfOrmin Vascular Adverse Lesions trial

Author

Chen, David, Jenkins, Alicia J, Greenlaw, Nicola, Dudman, Katie, Fernandes, Tamsin, Carty, David M, Hughes, Alun D, Januszewski, Andrzej S, Stehouwer, Coen DA, and Petrie, John R

Subjects
Endocrinology, Cardiology, Surgery, Nutrition and Dietetics not elsewhere classified
Abstract

Supplemental Material for Cardiometabolic risk factors, peripheral arterial tonometry and metformin in adults with type 1 diabetes participating in the REducing with MetfOrmin Vascular Adverse Lesions trial by David Chen, Alicia J Jenkins, Nicola Greenlaw, Katie Dudman, Tamsin Fernandes, David M Carty, Alun D Hughes, Andrzej S Januszewski, Coen DA Stehouwer and John R Petrie in Diabetes and Vascular Disease Research

Published
2023
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4. Potential of FX06 to prevent disease progression in hospitalized non-intubated COVID-19 patients — the randomized, EU-wide, placebo-controlled, phase II study design of IXION

Author

Kloka, Jan, Friedrichson, Benjamin, Dauth, Stephanie, Foldenauer, Ann Christina, Bulczak Schadendorf, Anita, Vehreschild, Maria J. G. T., Matos, Francisco Maio, Riera Mestre, Antoni, Van Asselt, Antoinette D. I., De Robertis, Edoardo, Juskeviciene, Vilma Traskaite, Meybohm, Patrick, Tomescu, Dana, Lacombe, Karine, Stehouwer, Coen D. A., Zacharowski, Kai, Old, Oliver, Ketomaeki, Markus, Grebe, Lea, Booms, Patrick, Lindau, Simone, Zinn, Sebastian, Maushagen, Isabel, Wolf, Timo, Stephan, Christoph, Weynants, Cathy, Daamen, Sylvia, Wülfroth, Petra, Steiner, Thomas, Van Hulst, Marinus, Kranke, Peter, Hottenrott, Sebastian, Schlesinger, Tobias, Schmid, Benedikt, Röder, Daniel, Kranke, Eva, Haas, Tobias, Schlesinger, Philipp, Sitter, Magdalena, Valeri, Davide, Iglesias, Raquel Torres, Mora Luján, José María, Iriarte, Adriana, Cerdà, Pau, Vaguliene, Neringa, Macas, Andrius, Litviniene, Jolanta, Balne, Kristina, Monteiro, Catarina, Ferreira, Inês Antunes, Couceiro, Patrícia, Soares, Pedro, Beirão, Sofia, Aad, Yasmine Abi, Chiarabini, Thibault, Popescu, Mihai, Van Der Kallen, C. J. H., On Behalf Of The Ixion Collaboration Group, MUMC+: MA Interne Geneeskunde (3), Interne Geneeskunde, RS: Carim - V01 Vascular complications of diabetes and metabolic syndrome, Publica, and Value, Affordability and Sustainability (VALUE)

Subjects
Inflammation, Disease progression, SARS-CoV-2, ACE2, COVID-19, Medicine (miscellaneous), Inflamació, VASCULAR LEAKAGE, Capillary leak, Hospitalization, WUHAN, FX06, Treatment Outcome, Spain, REPERFUSION, Humans, Pharmacology (medical)
Abstract

Background More than 2.7 million hospitalizations of COVID-19-infected patients have occurred in Europe alone since the outbreak of the coronavirus in 2020. Interventions against SARS-CoV-2 are still in high need to prevent admissions to ICUs worldwide. FX06, a naturally occurring peptide in humans and other mammals, has the potential to reduce capillary leak by improving endothelial dysfunction and thus preventing the deterioration of patients. With IXION, we want to investigate the potential of FX06 to prevent disease progression in hospitalized, non-intubated COVID-19 patients. Methods IXION is an EU-wide, multicentre, placebo-controlled, double-blinded, parallel, randomized (2:1) phase II clinical study. Patient recruitment will start in September 2022 (to Q2/2023) in Germany, Italy, Lithuania, Spain, Romania, Portugal, and France. A total of 306 hospitalized patients (≥ 18 years and < 75 years) with a positive SARS-CoV-2 PCR test and a COVID-19 severity of 4–6 according to the WHO scale will be enrolled. After randomization to FX06 or placebo, patients will be assessed until day 28 (and followed up until day 60). FX06 (2 × 200 mg per day) or placebo will be administered intravenously for 5 consecutive days. The primary endpoint is to demonstrate a difference in the proportion of patients with progressed/worsened disease state in patients receiving FX06 compared to patients receiving placebo. Secondary endpoints are lung function, oxygen saturation and breathing rate, systemic inflammation, survival, capillary refill time, duration of hospital stay, and drug accountability. Discussion With IXION, the multidisciplinary consortium aims to deliver a new therapy in addition to standard care against SARS-CoV-2 for the clinical management of COVID-19 during mild and moderate stages. Potential limitations might refer to a lack of recruiting and drop-out due to various possible protocol violations. While we controlled for drop-outs in the same size estimation, recruitment problems may be subject to external problems difficult to control for. Trial registration EudraCT 2021-005059-35. Registered on 12 December 2021. Study Code TMP-2204-2021-47.

Published
2022

5. Relationship between NAFLD and coronary artery disease: A Mendelian randomization study

Author

Ren, Zhewen, Simons, Pomme I H G, Wesselius, Anke, Stehouwer, Coen D A, Brouwers, Martijn C G J, Interne Geneeskunde, RS: Carim - V01 Vascular complications of diabetes and metabolic syndrome, Epidemiologie, RS: NUTRIM - R3 - Respiratory & Age-related Health, MUMC+: HVC Pieken Maastricht Studie (9), MUMC+: MA Interne Geneeskunde (3), MUMC+: Centrum voor Chronische Zieken (3), MUMC+: MA Med Staf Artsass Interne Geneeskunde (9), MUMC+: MA Endocrinologie (9), MUMC+: MA Maag Darm Lever (9), MUMC+: MA Hematologie (9), MUMC+: MA Medische Oncologie (9), MUMC+: MA Nefrologie (9), and MUMC+: MA Reumatologie (9)

Subjects
RISK, Hepatology, CARDIOVASCULAR-DISEASE, EXOME-WIDE ASSOCIATION, MORTALITY, INHIBITION, EPIDEMIOLOGY, ISCHEMIC-HEART-DISEASE, CONFERS SUSCEPTIBILITY, METAANALYSIS, FATTY LIVER-DISEASE
Abstract

BACKGROUND & AIMS: There is an ongoing debate on whether non-alcoholic fatty liver disease (NAFLD) is an active contributor or an innocent bystander in the pathogenesis of coronary artery disease (CAD). The aim of the present study was to assess the causal relationship between NAFLD and CAD.APPROACH & RESULTS: We performed two-sample Mendelian randomization (MR) analyses using summary-level data to assess the association between genetically predicted NAFLD (i.e. chronically-elevated serum alanine aminotransferase levels [cALT], imaging-based and biopsy-confirmed NAFLD) and risk of CAD. Analyses were repeated after exclusion of NAFLD susceptibility genes that are associated with impaired VLDL secretion. Inverse-variance weighted (IVW) MR analyses showed a statistically significant association between genetically predicted cALT and risk of CAD (odds ratio [OR]:1.116, 95% confidence interval [CI]:1.039,1.199), but not for the other NAFLD-related traits (OR:1.046, 95%CI:0.764,1.433 and OR:1.014, 95%CI:0.968,1.062 for imaging-based and biopsy-confirmed NAFLD, respectively). MR Egger regression revealed a statistically significant intercept, indicative of directional pleiotropy, for all traits. Repeat analyses after exclusion of genes associated with impaired VLDL secretion, showed consistent associations between genetically predicted NAFLD and CAD for all traits, i.e. cALT (OR:1.203, 95%CI:1.113,1.300), imaging-based (OR:2.149, 95%CI:1.276,3.620) and biopsy-confirmed NAFLD (OR:1.113, 95%CI:1.041,1.189), which persisted when more stringent biopsy-confirmed NAFLD criteria were used (OR:1.154, 95%CI:1.043,1.278) or when more stringent MR methods were applied. MR Egger regression did not show a statistically significant intercept.CONCLUSION: The two-sample MR analyses showed a robust association between genetically predicted NAFLD and CAD after exclusion of genetic variants that are implicated in impaired VLDL secretion.

Published
2022

6. sj-docx-1-jop-10.1177_02698811221082470 – Supplemental material for Angiotensin-converting enzyme inhibitors and angiotensin receptor blockers and risk of depression among older people with hypertension

Author

van Sloten, Thomas T, Souverein, Patrick C, Stehouwer, Coen DA, and Driessen, Johanna HM

Subjects
FOS: Psychology, FOS: Clinical medicine, 170199 Psychology not elsewhere classified, 110319 Psychiatry (incl. Psychotherapy), 111599 Pharmacology and Pharmaceutical Sciences not elsewhere classified, 110904 Neurology and Neuromuscular Diseases
Abstract

Supplemental material, sj-docx-1-jop-10.1177_02698811221082470 for Angiotensin-converting enzyme inhibitors and angiotensin receptor blockers and risk of depression among older people with hypertension by Thomas T van Sloten, Patrick C Souverein, Coen DA Stehouwer and Johanna HM Driessen in Journal of Psychopharmacology

Published
2022
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7. Additional file 3 of Metformin and high-sensitivity cardiac troponin I and T trajectories in type 2 diabetes patients: a post-hoc analysis of a randomized controlled trial

Author

Stultiens, Johanna M. G., Top, Wiebe M. C., Kimenai, Dorien M., Lehert, Philippe, Bekers, Otto, Stehouwer, Coen D. A., Kooy, Adriaan, and Meex, Steven J. R.

Abstract

Additional file 3: Table S1. Troponin I and Troponin T linear mixed-effects model metrics. Table S2. Sex-stratified mixed models of Troponin I and Troponin T. Table S3. Prevalence of elevated cardiac troponins in placebo vs. metformin. Table S4. Random slope/random intercept models as sensitivity analysis for Troponin I. Table S5. Random slope/random intercept models as sensitivity analysis for Troponin T.

Published
2022
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8. sj-docx-1-jop-10.1177_02698811221082470 – Supplemental material for Angiotensin-converting enzyme inhibitors and angiotensin receptor blockers and risk of depression among older people with hypertension

Author

van Sloten, Thomas T, Souverein, Patrick C, Stehouwer, Coen DA, and Driessen, Johanna HM

Subjects
FOS: Psychology, FOS: Clinical medicine, 170199 Psychology not elsewhere classified, 110319 Psychiatry (incl. Psychotherapy), 111599 Pharmacology and Pharmaceutical Sciences not elsewhere classified, 110904 Neurology and Neuromuscular Diseases
Abstract

Supplemental material, sj-docx-1-jop-10.1177_02698811221082470 for Angiotensin-converting enzyme inhibitors and angiotensin receptor blockers and risk of depression among older people with hypertension by Thomas T van Sloten, Patrick C Souverein, Coen DA Stehouwer and Johanna HM Driessen in Journal of Psychopharmacology

Published
2022
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9. Additional file 1 of Potential of FX06 to prevent disease progression in hospitalized non-intubated COVID-19 patients — the randomized, EU-wide, placebo-controlled, phase II study design of IXION

Author

Kloka, Jan, Friedrichson, Benjamin, Dauth, Stephanie, Foldenauer, Ann Christina, Bulczak-Schadendorf, Anita, Vehreschild, Maria J. G. T., Matos, Francisco Maio, Riera-Mestre, Antoni, van Asselt, Antoinette D. I., De Robertis, Edoardo, Juskeviciene, Vilma Traskaite, Meybohm, Patrick, Tomescu, Dana, Lacombe, Karine, Stehouwer, Coen D. A., and Zacharowski, Kai

Abstract

Additional file 1. Additional Information – Further statistical Information for IXION.

Published
2022
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10. Anxiety and cognitive functioning in the Maastricht study: A cross-sectional population study

Author

Gulpers, Bernice J. A., Verhey, Frans R. J., Eussen, Simone J. P. M., Schram, M.T., Galan, B.E. de, Boxtel, Martin P. J. van, Stehouwer, Coen D. A., Kohler, S., RS: MHeNs - R1 - Cognitive Neuropsychiatry and Clinical Neuroscience, Psychiatrie & Neuropsychologie, RS: CAPHRI - R5 - Optimising Patient Care, Epidemiologie, MUMC+: HVC Pieken Maastricht Studie (9), RS: Carim - V01 Vascular complications of diabetes and metabolic syndrome, Interne Geneeskunde, Psychology 2, Section Neuropsychology, RS: FPN NPPP I, MUMC+: MA Interne Geneeskunde (3), and Psychology 5

Subjects
Psychiatry and Mental health, Clinical Psychology, All institutes and research themes of the Radboud University Medical Center, Cross-Sectional Studies, Cognition, Diabetes Mellitus, Type 2, Humans, Metabolic Disorders Radboud Institute for Molecular Life Sciences [Radboudumc 6], Anxiety, Anxiety Disorders, Aged
Abstract

BACKGROUND: Higher anxiety levels in older adults are associated with worse executive functioning and an increased risk for dementia. In this study individual anxiety disorders and clinically relevant generalized anxiety symptoms are studied in relation to multiple cognitive domains.METHOD: This cross-sectional study includes 7344 community-dwelling participants of The Maastricht Study aged 40-75 years and oversampling of type 2 diabetes. Panic disorder with and without agoraphobia, agoraphobia and lifetime panic disorder were measured with the Mini International Neuropsychiatric Interview. Generalized anxiety symptoms were measured with the Generalized Anxiety Disorder 7-item scale (GAD-7). Multiple cognitive domains (executive functioning, memory and processing speed) and cognitive impairment were assessed. Multivariable linear and logistic regression analyses were used with adjustment for potential confounders. Interaction analyses were performed to test the moderation of age, sex and type 2 diabetes (due to oversampling).RESULTS: Agoraphobia was associated with worse scores on all cognitive domains (range B = -0.12 to -0.10; range 95%CI = -0.20 to -0.04) and with higher odds of cognitive impairment (OR = 1.51, 95%CI = 1.18-1.93). High scores on the GAD-7 were associated with worse scores on processing speed (B = -0.11, 95%CI = -0.20 to -0.03) and higher odds of cognitive impairment (OR = 1.42, 95%CI = 1.02-1.97). Panic disorder was significantly associated with worse scores on memory tasks (B = -0.25, 95%CI = -0.48 to -0.02). Associations were stronger in the younger participants and for agoraphobia and GAD-7 scores also in those with type 2 diabetes.CONCLUSION: Multiple anxiety disorders and generalized anxiety symptoms were associated with worse cognitive functioning on several cognitive domains.

Published
2021

11. An interferon-related signature characterizes the whole blood transcriptome profile of insulin-resistant individuals-the CODAM study

Author

Kalafati, Marianthi, Kutmon, Martina, Evelo, Chris T., van der Kallen, Carla J.H., Schalkwijk, Casper G., Stehouwer, Coen D.A., Blaak, Ellen E., van Greevenbroek, Marleen M.J., Adriaens, Michiel, Boomsma, Dorret, Pool, René, van Dongen, Jenny, Hottenga, Jouke Jan, APH - Methodology, APH - Mental Health, Amsterdam Reproduction & Development, Biological Psychology, APH - Personalized Medicine, APH - Health Behaviors & Chronic Diseases, Humane Biologie, RS: NUTRIM - R1 - Obesity, diabetes and cardiovascular health, Maastricht Centre for Systems Biology, RS: FHML MaCSBio, RS: FPN MaCSBio, RS: FSE MaCSBio, Bioinformatica, RS: Carim - V01 Vascular complications of diabetes and metabolic syndrome, Interne Geneeskunde, MUMC+: MA Med Staf Artsass Interne Geneeskunde (9), MUMC+: HVC Pieken Maastricht Studie (9), and MUMC+: MA Interne Geneeskunde (3)

Subjects
EXPRESSION, RECRUITMENT, Endocrinology, Diabetes and Metabolism, Whole blood transcriptome, Insulin resistance, Inter-individual differences, Monocytes, INFLAMMATION, SDG 3 - Good Health and Well-being, HYPERGLYCEMIA, T-CELLS, Genetics, Obesity, OBESE, Interferon signature, PACKAGE
Abstract

Background Worldwide, the prevalence of obesity and insulin resistance has grown dramatically. Gene expression profiling in blood represents a powerful means to explore disease pathogenesis, but the potential impact of inter-individual differences in a cell-type profile is not always taken into account. The objective of this project was to investigate the whole blood transcriptome profile of insulin-resistant as compared to insulin-sensitive individuals independent of inter-individual differences in white blood cell profile. Results We report a 3% higher relative amount of monocytes in the insulin-resistant individuals. Furthermore, independent of their white blood cell profile, insulin-resistant participants had (i) higher expression of interferon-stimulated genes and (ii) lower expression of genes involved in cellular differentiation and remodeling of the actin cytoskeleton. Conclusions We present an approach to investigate the whole blood transcriptome of insulin-resistant individuals, independent of their DNA methylation-derived white blood cell profile. An interferon-related signature characterizes the whole blood transcriptome profile of the insulin-resistant individuals, independent of their white blood cell profile. The observed signature indicates increased systemic inflammation possibly due to an innate immune response and whole-body insulin resistance, which can be a cause or a consequence of insulin resistance. Altered gene expression in specific organs may be reflected in whole blood; hence, our results may reflect obesity and/or insulin resistance-related organ dysfunction in the insulin-resistant individuals.

Published
2021

14. Additional file 2 of MicroRNA 146a is associated with diabetic complications in type 1 diabetic patients from the EURODIAB PCS

Author

Barutta, Federica, Corbetta, Beatrice, Bellini, Stefania, Guarrera, Simonetta, Matullo, Giuseppe, Scandella, Michela, Schalkwijk, Casper, Stehouwer, Coen D., Chaturvedi, Nish, Soedamah-Muthu, Sabita S., Durazzo, Marilena, and Gruden, Gabriella

Abstract

Additional file 2: Table S2. Pearson correlation coefficient of clinical variables.

Published
2021
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16. Additional file 1 of Sex differences in the association of prediabetes and type 2 diabetes with microvascular complications and function: The Maastricht Study

Author

De Ritter, Rianneke, Sep, Simone J. S., Van Der Kallen, Carla J. H., Van Greevenbroek, Marleen M. J., De Jong, Marit, Rimke C. Vos, Bots, Michiel L., Reulen, Jos P. H., Houben, Alfons J. H. M., Webers, Carroll A. B., Tos T. J. M. Berendschot, Dagnelie, Pieter C., Eussen, Simone J. P. M., Schram, Miranda T., Koster, Annemarie, Peters, Sanne A. E., and Stehouwer, Coen D. A.

Abstract

Additional file 1: Table S1. Differences within and between sexes in mean differences in microvascular complications and retinal measures according to glucose metabolism status. Table S2. Differences within and between sexes in mean differences in microvascular complications and retinal measures according to HbA1c, fasting glucose and 2-h postload glucose (all models). Table S3. Differences between sexes in mean differences in microvascular complications and retinal measures according to glucose metabolism status – with BMI used instead of waist circumference. Table S4. Differences within and between sexes in mean differences in microvascular complications and retinal measures according to glucose metabolism status – premenopausal women excluded. Table S5. Differences within and between sexes in mean differences in neuropathy according to glucose metabolism status – with additional adjustment for metformin use (model 2 and 3).

Published
2021
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19. Additional file 1 of MicroRNA 146a is associated with diabetic complications in type 1 diabetic patients from the EURODIAB PCS

Author

Barutta, Federica, Corbetta, Beatrice, Bellini, Stefania, Guarrera, Simonetta, Matullo, Giuseppe, Scandella, Michela, Schalkwijk, Casper, Stehouwer, Coen D., Chaturvedi, Nish, Soedamah-Muthu, Sabita S., Durazzo, Marilena, and Gruden, Gabriella

Abstract

Additional file 1: Table S1. Mean Ct values for miR-146a-5p, U6 snRNA and Cel-miR-39 in both controls and cases.

Published
2021
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20. Equalization of four cardiovascular risk algorithms after systematic recalibration: individual-participant meta-analysis of 86 prospective studies

Author

Pennells, Lisa, Kaptoge, Stephen, Wood, Angela, Sweeting, Mike, Zhao, Xiaohui, White, Ian, Burgess, Stephen, Willeit, Peter, Bolton, Thomas, Moons, Karel G M, van der Schouw, Yvonne T, Selmer, Randi, Khaw, Kay-Tee, Gudnason, Vilmundur, Assmann, Gerd, Amouyel, Philippe, Salomaa, Veikko, Kivimaki, Mika, Nordestgaard, Børge G, Blaha, Michael J, Kuller, Lewis H, Brenner, Hermann, Gillum, Richard F, Meisinger, Christa, Ford, Ian, Knuiman, Matthew W, Rosengren, Annika, Lawlor, Debbie A, Völzke, Henry, Cooper, Cyrus, Marín Ibañez, Alejandro, Casiglia, Edoardo, Kauhanen, Jussi, Cooper, Jackie A, Rodriguez, Beatriz, Sundström, Johan, Barrett-Connor, Elizabeth, Dankner, Rachel, Nietert, Paul J, Davidson, Karina W, Wallace, Robert B, Blazer, Dan G, Björkelund, Cecilia, Donfrancesco, Chiara, Krumholz, Harlan M, Nissinen, Aulikki, Davis, Barry R, Coady, Sean, Whincup, Peter H, Jørgensen, Torben, Ducimetiere, Pierre, Trevisan, Maurizio, Engström, Gunnar, Crespo, Carlos J, Meade, Tom W, Visser, Marjolein, Kromhout, Daan, Kiechl, Stefan, Daimon, Makoto, Price, Jackie F, Gómez de la Cámara, Agustin, Wouter Jukema, J, Lamarche, Benoît, Onat, Altan, Simons, Leon A, Kavousi, Maryam, Ben-Shlomo, Yoav, Gallacher, John, Dekker, Jacqueline M, Arima, Hisatomi, Shara, Nawar, Tipping, Robert W, Roussel, Ronan, Brunner, Eric J, Koenig, Wolfgang, Sakurai, Masaru, Pavlovic, Jelena, Gansevoort, Ron T, Nagel, Dorothea, Goldbourt, Uri, Barr, Elizabeth L M, Palmieri, Luigi, Njølstad, Inger, Sato, Shinichi, Monique Verschuren, W M, Varghese, Cherian V, Graham, Ian, Onuma, Oyere, Greenland, Philip, Woodward, Mark, Ezzati, Majid, Psaty, Bruce M, Sattar, Naveed, Jackson, Rod, Ridker, Paul M, Cook, Nancy R, D'Agostino, Ralph B, Thompson, Simon G, Danesh, John, Di Angelantonio, Emanuele, Simpson, Lara M, Pressel, Sara L, Couper, David J, Nambi, Vijay, Matsushita, Kunihiro, Folsom, Aaron R, Shaw, Jonathan E, Magliano, Dianna J, Zimmet, Paul Z, Wannamethee, S Goya, Willeit, Johann, Santer, Peter, Egger, Georg, Casas, Juan Pablo, Amuzu, Antointtte, Tikhonoff, Valérie, Sutherland, Susan E, Cushman, Mary, Søgaard, Anne Johanne, Håheim, Lise Lund, Ariansen, Inger, Tybjærg-Hansen, Anne, Jensen, Gorm B, Schnohr, Peter, Giampaoli, Simona, Vanuzzo, Diego, Panico, Salvatore, Balkau, Beverley, Bonnet, Fabrice, Marre, Michel, de la Cámara, Agustin Gómez, Rubio Herrera, Miguel Angel, Friedlander, Yechiel, McCallum, John, McLachlan, Stela, Guralnik, Jack, Phillips, Caroline L, Wareham, Nick, Schöttker, Ben, Saum, Kai-Uwe, Holleczek, Bernd, Tolonen, Hanna, Vartiainen, Erkki, Jousilahti, Pekka, Harald, Kennet, D’Agostino, Ralph B, Massaro, Joseph M, Pencina, Michael, Vasan, Ramachandran, Kayama, Takamasa, Kato, Takeo, Oizumi, Toshihide, Jespersen, Jørgen, Møller, Lars, Bladbjerg, Else Marie, Chetrit, A, Wilhelmsen, Lars, Lissner, Lauren, Dennison, Elaine, Kiyohara, Yutaka, Ninomiya, Toshiharu, Doi, Yasufumi, Nijpels, Giel, Stehouwer, Coen D A, Kazumasa, Yamagishi, Iso, Hiroyasu, Kurl, Sudhir, Tuomainen, Tomi-Pekka, Salonen, Jukka T, Deeg, Dorly J H, Nilsson, Peter M, Hedblad, Bo, Melander, Olle, De Boer, Ian H, DeFilippis, Andrew Paul, Verschuren, W M Monique, Watt, Graham, Tverdal, Aage, Kirkland, Susan, Shimbo, Daichi, Shaffer, Jonathan, Bakker, Stephan J L, van der Harst, Pim, Hillege, Hans L, Dallongeville, Jean, Schulte, Helmut, Trompet, Stella, Smit, Roelof A J, Stott, David J, Després, Jean-Pierre, Cantin, Bernard, Dagenais, Gilles R, Laughlin, Gail, Wingard, Deborah, Aspelund, Thor, Eiriksdottir, Gudny, Gudmundsson, Elias Freyr, Ikram, Arfan, van Rooij, Frank J A, Franco, Oscar H, Rueda-Ochoa, Oscar L, Muka, Taulant, Glisic, Marija, Tunstall-Pedoe, Hugh, Howard, Barbara V, Zhang, Ying, Jolly, Stacey, Davey-Smith, George, Can, Günay, Yüksel, Hüsniye, Nakagawa, Hideaki, Morikawa, Yuko, Miura, Katsuyuki, Ingelsson, Martin, Giedraitis, Vilmantas, Gaziano, J Michael, Shipley, Martin, Arndt, Volker, Cook, Nancy, Ibañez, Alejandro Marín, Geleijnse, Johanna M, Epidemiology, Læknadeild (HÍ), Faculty of Medicine (UI), Heilbrigðisvísindasvið (HÍ), School of Health Sciences (UI), Háskóli Íslands, University of Iceland, Pennells, Lisa [0000-0002-8594-3061], Kaptoge, Stephen [0000-0002-1155-4872], Wood, Angela [0000-0002-7937-304X], Sweeting, Michael [0000-0003-0980-8965], Zhao, Xiaohui [0000-0001-9922-2815], Burgess, Stephen [0000-0001-5365-8760], Danesh, John [0000-0003-1158-6791], Di Angelantonio, Emanuele [0000-0001-8776-6719], Apollo - University of Cambridge Repository, Nutrition and Health, APH - Aging & Later Life, APH - Societal Participation & Health, APH - Health Behaviors & Chronic Diseases, Cardiovascular Centre (CVC), Groningen Kidney Center (GKC), Groningen Institute for Organ Transplantation (GIOT), Lifestyle Medicine (LM), Life Course Epidemiology (LCE), AGEM - Endocrinology, metabolism and nutrition, Internal medicine, Epidemiology and Data Science, İÜC, Lisa, Pennell, Stephen, Kaptoge, Angela, Wood, Mike, Sweeting, Xiaohui, Zhao, Ian, White, Stephen, Burge, Peter, Willeit, Thomas, Bolton, Karel G M, Moon, Yvonne T, van der Schouw, Randi, Selmer, Kay-Tee, Khaw, Vilmundur, Gudnason, Gerd, Assmann, Philippe, Amouyel, Veikko, Salomaa, Mika, Kivimaki, Børge G, Nordestgaard, Michael J, Blaha, Lewis H, Kuller, Hermann, Brenner, Richard F, Gillum, Christa, Meisinger, Ian, Ford, Matthew W, Knuiman, Annika, Rosengren, Debbie A, Lawlor, Henry, Völzke, Cyrus, Cooper, Alejandro, Marín Ibañez, Edoardo, Casiglia, Jussi, Kauhanen, Jackie A, Cooper, Beatriz, Rodriguez, Johan, Sundström, Elizabeth, Barrett-Connor, Rachel, Dankner, Paul J, Nietert, Karina W, Davidson, Robert B, Wallace, Dan G, Blazer, Cecilia, Björkelund, Chiara, Donfrancesco, Harlan M, Krumholz, Aulikki, Nissinen, Barry R, Davi, Sean, Coady, Peter H, Whincup, Torben, Jørgensen, Pierre, Ducimetiere, Maurizio, Trevisan, Gunnar, Engström, Carlos J, Crespo, Tom W, Meade, Marjolein, Visser, Daan, Kromhout, Stefan, Kiechl, Makoto, Daimon, Jackie F, Price, Agustin, Gómez de la Cámara, J, Wouter Jukema, Benoît, Lamarche, Altan, Onat, Leon A, Simon, Maryam, Kavousi, Yoav, Ben-Shlomo, John, Gallacher, Jacqueline M, Dekker, Hisatomi, Arima, Nawar, Shara, Robert W, Tipping, Ronan, Roussel, Eric J, Brunner, Wolfgang, Koenig, Masaru, Sakurai, Jelena, Pavlovic, Ron T, Gansevoort, Dorothea, Nagel, Uri, Goldbourt, Elizabeth L M, Barr, Luigi, Palmieri, Inger, Njølstad, Shinichi, Sato, W M, Monique Verschuren, Cherian V, Varghese, Ian, Graham, Oyere, Onuma, Philip, Greenland, Mark, Woodward, Majid, Ezzati, Bruce M, Psaty, Sattar, W Tipping, Naveerobert, M Simpson, Lara, L Pressel, Sara, J Couper, David, Nambi, Vijay, Matsushita, Kunihiro, R Folsom, Aaron, E Shaw, Jonathan, J Magliano, Dianna, Z Zimmet, Paul, W Knuiman, Matthew, H Whincup, Peter, Goya Wannamethee, S, Willeit, Johann, Santer, Peter, Egger, Georg, Pablo Casas, Juan, Amuzu, Antoinette, Ben-Shlomo, Yoav, Gallacher, John, Tikhonoff, Valérie, Casiglia, Edoardo, E Sutherland, Susan, J Nietert, Paul, Cushman, Mary, M Psaty, Bruce, Johanne Søgaard, Anne, Lund Håheim, Lise, Ariansen, Inger, Tybjærg-Hansen, Anne, B Jensen, Gorm, Schnohr, Peter, Giampaoli, Simona, Vanuzzo, Diego, Panico, Salvatore, Palmieri, Luigi, Balkau, Beverley, Bonnet, Fabrice, Marre, Michel, Gómez de la Cámara, Agustin, Angel Rubio Herrera, Miguel, Friedlander, Yechiel, Mccallum, John, Mclachlan, Stela, Guralnik, Jack, L Phillips, Caroline, Khaw, Kay-Tee, Wareham, Nick, Schöttker, Ben, Saum, Kai-Uwe, Holleczek, Bernd, Nissinen, Aulikki, Tolonen, Hanna, Donfrancesco, Chiara, Vartiainen, Erkki, Jousilahti, Pekka, Harald, Kennet, B D’Agostino, Ralph, M Massaro, Joseph, Pencina, Michael, Vasan, Ramachandran, Kayama, Takamasa, Kato, Takeo, Oizumi, Toshihide, Jespersen, Jørgen, Møller, Lar, Marie Bladbjerg, Else, Chetrit, A, Rosengren, Annika, Wilhelmsen, Lar, Björkelund, Cecilia, Lissner, Lauren, Nagel, Dorothea, Dennison, Elaine, Kiyohara, Yutaka, Ninomiya, Toshiharu, Doi, Yasufumi, Rodriguez, Beatriz, Nijpels, Giel, A Stehouwer, Coen D, Sato, Shinichi, Kazumasa, Yamagishi, Iso, Hiroyasu, Goldbourt, Uri, Salomaa, Veikko, Kurl, Sudhir, Tuomainen, Tomi-Pekka, T Salonen, Jukka, Visser, Marjolein, H Deeg, Dorly J, W Meade, Tom, M Nilsson, Peter, Hedblad, Bo, Melander, Olle, H De Boer, Ian, Paul DeFilippis, Andrew, M Monique Verschuren, W, Sattar, Naveed, Watt, Graham, Meisinger, Christa, Koenig, Wolfgang, H Kuller, Lewi, Tverdal, Aage, F Gillum, Richard, A Cooper, Jackie, Kirkland, Susan, Shimbo, Daichi, Shaffer, Jonathan, Ducimetiere, Pierre, L Bakker, Stephan J, van der Harst, Pim, L Hillege, Han, J Crespo, Carlo, Amouyel, Philippe, Dallongeville, Jean, Assmann, Gerd, Schulte, Helmut, Trompet, Stella, J Smit, Roelof A, J Stott, David, T van der Schouw, Yvonne, Després, Jean-Pierre, Cantin, Bernard, R Dagenais, Gille, Laughlin, Gail, Wingard, Deborah, Trevisan, Maurizio, Aspelund, Thor, Eiriksdottir, Gudny, Freyr Gudmundsson, Elia, Ikram, Arfan, A van Rooij, Frank J, H Franco, Oscar, L Rueda-Ochoa, Oscar, Muka, Taulant, Glisic, Marija, Tunstall-Pedoe, Hugh, Völzke, Henry, V Howard, Barbara, Zhang, Ying, Jolly, Stacey, Davey-Smith, George, Can, Günay, Yüksel, Hüsniye, Nakagawa, Hideaki, Morikawa, Yuko, Miura, Katsuyuki, Njølstad, Inger, Ingelsson, Martin, Giedraitis, Vilmanta, M Ridker, Paul, Michael Gaziano, J, Kivimaki, Mika, Shipley, Martin, J Brunner, Eric, Arndt, Volker, Brenner, Hermann, Cook, Nancy, Ford, Ian, Marín Ibañez, Alejandro, M Geleijnsed, Johanna, Rod, Jackson, Paul M, Ridker, Nancy R, Cook, Ralph B, D'Agostino, Simon G, Thompson, John, Danesh, and Emanuele, Di Angelantonio

Subjects
Male, Cardiac & Cardiovascular Systems, Nutrition and Disease, Prevention and Epidemiology, PREDICTION, Áhættuþættir, 030204 cardiovascular system & hematology, GUIDELINES, 0302 clinical medicine, Risk Factors, Voeding en Ziekte, FRAMINGHAM, Discrimination, Medicine, Cardiac and Cardiovascular Systems, Blóðrásarsjúkdómar, Prospective Studies, Prospective cohort study, Non-U.S. Gov't, 1102 Cardiorespiratory Medicine and Haematology, CALIBRATION, Kardiologi, Framingham Risk Score, Emerging Risk Factors Collaboration, SCORES, Research Support, Non-U.S. Gov't, Incidence (epidemiology), Middle Aged, Cardiovascular disease, Justice and Strong Institutions, Risk prediction, ddc, 3. Good health, Cardiovascular Diseases, Meta-analysis, Cohort, Calibration, Female, Risk assessment, Cardiology and Cardiovascular Medicine, Algorithm, Life Sciences & Biomedicine, Algorithms, SDG 16 - Peace, Risk algorithms, DISEASE PREVENTION, Research Support, Risk Assessment, VALIDATION, 03 medical and health sciences, Clinical Research, Journal Article, Humans, ddc:610, Risk factor, VLAG, Aged, Science & Technology, business.industry, SDG 16 - Peace, Justice and Strong Institutions, 030229 sport sciences, R1, STATIN USE, Cardiovascular System & Hematology, Cardiovascular System & Cardiology, business, PRIMARY PREVENTION, TASK-FORCE
Abstract

Publisher's version (útgefin grein), Aims: There is debate about the optimum algorithm for cardiovascular disease (CVD) risk estimation. We conducted head-to-head comparisons of four algorithms recommended by primary prevention guidelines, before and after 'recalibration', a method that adapts risk algorithms to take account of differences in the risk characteristics of the populations being studied. Methods and results: Using individual-participant data on 360 737 participants without CVD at baseline in 86 prospective studies from 22 countries, we compared the Framingham risk score (FRS), Systematic COronary Risk Evaluation (SCORE), pooled cohort equations (PCE), and Reynolds risk score (RRS). We calculated measures of risk discrimination and calibration, and modelled clinical implications of initiating statin therapy in people judged to be at 'high' 10 year CVD risk. Original risk algorithms were recalibrated using the risk factor profile and CVD incidence of target populations. The four algorithms had similar risk discrimination. Before recalibration, FRS, SCORE, and PCE over-predicted CVD risk on average by 10%, 52%, and 41%, respectively, whereas RRS under-predicted by 10%. Original versions of algorithms classified 29-39% of individuals aged ≥40 years as high risk. By contrast, recalibration reduced this proportion to 22-24% for every algorithm. We estimated that to prevent one CVD event, it would be necessary to initiate statin therapy in 44-51 such individuals using original algorithms, in contrast to 37-39 individuals with recalibrated algorithms. Conclusion: Before recalibration, the clinical performance of four widely used CVD risk algorithms varied substantially. By contrast, simple recalibration nearly equalized their performance and improved modelled targeting of preventive action to clinical need., The work of the co-ordinating centre was funded by the UK Medical Research Council (G0800270), British Heart Foundation (SP/09/ 002), British Heart Foundation Cambridge Cardiovascular Centre of Excellence, UK National Institute for Health Research Cambridge Biomedical Research Centre, European Research Council (268834), and European Commission Framework Programme 7 (HEALTH-F2-2012-279233). The Emerging Risk Factor Collaboration’s website https://www.phpc.cam.ac.uk/ceu/erfc/list-of-studies/ has compiled a list provided by investigators of some of the funders of the component studies in this analysis. I.W. was supported by the Medical Research Council Unit Programme MC_UU_12023/21. M.K. is supported by the Netherlands Organization for Scientific Research (NWO) Veni grant (Veni, 91616079). J.P. is supported by Erasmus Mundus Western Balkans (ERAWEB), a project funded by the European Commission.

Published
2019

21. Data from: Plasma metabolomics identifies markers of impaired renal function: A meta-analysis of 3,089 persons with type 2 diabetes. Deposited to Figshare.com 20 March 2020. http://doi.org/10.6084/m9.figshare.10050068.v1

Author

Tofte, Nete, Vogelzangs, Nicole, Mook-Kanamori, Dennis, Brahimaj, Adela, Nano, Jana, Ahmadizar, Fariba, Dijk, Ko Willems Van, Frimodt-Møller, Marie, Arts, Ilja, Beulens, Joline, Rutters, Femke, Heijden, Amber Van Der, Kavousi, Maryam, Stehouwer, Coen, Nijpels, Giel, Greevenbroek, Marleen M.J. Van, Kallen, Carla J.H. Van Der, Rossing, Peter, Tarunveer S. Ahluwalia, and Leen M. 'T Hart

Abstract

This supplementary contains tables and figures for the article: Plasma metabolomics identifies markers of impaired kidney function: A meta-analysis of 3,089 individuals with type 2 diabetes

Published
2020
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22. Supplementary File.pdf

Author

Tofte, Nete, Vogelzangs, Nicole, Mook-Kanamori, Dennis, Brahimaj, Adela, Nano, Jana, Ahmadizar, Fariba, Dijk, Ko Willems Van, Frimodt-Møller, Marie, Arts, Ilja, Beulens, Joline, Rutters, Femke, Heijden, Amber Van Der, Kavousi, Maryam, Stehouwer, Coen, Nijpels, Giel, Greevenbroek, Marleen M.J. Van, Kallen, Carla J.H. Van Der, Rossing, Peter, Tarunveer S. Ahluwalia, and Leen M. 'T Hart

Abstract

This supplementary contains tables and figures for the article: Plasma metabolomics identifies markers of impaired kidney function: A meta-analysis of 3,089 individuals with type 2 diabetes

Published
2020
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25. Additional file 3: of Impact of early events and lifestyle on the gut microbiota and metabolic phenotypes in young school-age children

Author

Huanzi Zhong, Penders, John, Shi, Zhun, Huahui Ren, Kaiye Cai, Fang, Chao, Qiuxia Ding, Thijs, Carel, Blaak, Ellen, Stehouwer, Coen, Xu, Xun, Huanming Yang, Wang, Jian, Wang, Jun, Jonkers, Daisy, Masclee, Ad, Brix, Susanne, Junhua Li, Arts, Ilja, and Kristiansen, Karsten

Subjects
nutritional and metabolic diseases
Abstract

Figure S2. Gene count distribution in Dutch children. Black indicates all individuals, n = 281; red indicates lean children (BMI z-score

Published
2019
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26. Additional file 2: of Impact of early events and lifestyle on the gut microbiota and metabolic phenotypes in young school-age children

Author

Huanzi Zhong, Penders, John, Shi, Zhun, Huahui Ren, Kaiye Cai, Fang, Chao, Qiuxia Ding, Thijs, Carel, Blaak, Ellen, Stehouwer, Coen, Xu, Xun, Huanming Yang, Wang, Jian, Wang, Jun, Jonkers, Daisy, Masclee, Ad, Brix, Susanne, Junhua Li, Arts, Ilja, and Kristiansen, Karsten

Subjects
fungi
Abstract

Figure S1. Compositional and functional comparison between Dutch children and adults. Relative abundance of major phyla in Dutch children (a) and adults (b). (c) Relative abundance of COG (clusters of orthologous groups) categories across each sample in Dutch children and adults. (PDF 298 kb)

Published
2019
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27. Additional file 5: of Impact of early events and lifestyle on the gut microbiota and metabolic phenotypes in young school-age children

Author

Huanzi Zhong, Penders, John, Shi, Zhun, Huahui Ren, Kaiye Cai, Fang, Chao, Qiuxia Ding, Thijs, Carel, Blaak, Ellen, Stehouwer, Coen, Xu, Xun, Huanming Yang, Wang, Jian, Wang, Jun, Jonkers, Daisy, Masclee, Ad, Brix, Susanne, Junhua Li, Arts, Ilja, and Kristiansen, Karsten

Abstract

Figure S4. Comparison of gut microbial functional potentials between enterotypes. (a) Differentially enrichment of KEGG modules between enterotypes. Dashed lines indicate a reporter score of 1.96, corresponding to 95% confidence in a normal distribution. (b) Heatmap showing that the relative abundance profiles of 8 selected KOs involved in key functions of metabolic pathways for carbohydrate metabolism (K00845, K01051 and K00873) and amino acid biosynthesis (K01738, K00928, K00058, K00651and K00765) distinguishes E3 from E1 and E2. (PDF 358 kb)

Published
2019
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28. Additional file 7: of Impact of early events and lifestyle on the gut microbiota and metabolic phenotypes in young school-age children

Author

Huanzi Zhong, Penders, John, Shi, Zhun, Huahui Ren, Kaiye Cai, Fang, Chao, Qiuxia Ding, Thijs, Carel, Blaak, Ellen, Stehouwer, Coen, Xu, Xun, Huanming Yang, Wang, Jian, Wang, Jun, Jonkers, Daisy, Masclee, Ad, Brix, Susanne, Junhua Li, Arts, Ilja, and Kristiansen, Karsten

Abstract

Figure S6. Correlations between continuous phenotypic parameters. (a) Spearman’s rank correlations between continuous phenotypic parameters in the entire cohort (n = 281). (b) Spearman’s correlations between continuous phenotypic parameters in E1 (n = 143). (c) Spearman’s rank correlations between continuous phenotypic parameters in E2 (n = 74). (d) Spearman’s rank correlations between continuous phenotypic parameters in E3 (n = 64). The “*” indicates significant correlation with adjusted P

Published
2019
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29. Additional file 9: of Impact of early events and lifestyle on the gut microbiota and metabolic phenotypes in young school-age children

Author

Huanzi Zhong, Penders, John, Shi, Zhun, Huahui Ren, Kaiye Cai, Fang, Chao, Qiuxia Ding, Thijs, Carel, Blaak, Ellen, Stehouwer, Coen, Xu, Xun, Huanming Yang, Wang, Jian, Wang, Jun, Jonkers, Daisy, Masclee, Ad, Brix, Susanne, Junhua Li, Arts, Ilja, and Kristiansen, Karsten

Abstract

Figure S8. Evaluation of enterotying protocols for Dutch children. (a-c) Evaluation of optimal cluster number by using the DMM protocol (a), the PAM-JSD protocol (b) and the PAM-BC protocol (c). The optimal number of clusters was calculated using Laplace approximation for the DMM protocol (a) and the Calinskiâ Harabasz index for the PAM-based protocols (b-c). Cluster stability using the DMM (d), the PAM-JSD (e) and the PAM-BC protocols (f). The X axis indicates resampling number and the Y axis indicates the consistency of resampling relative to the original result based on 281 samples. (PDF 221 kb)

Published
2019
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30. Additional file 6: of Impact of early events and lifestyle on the gut microbiota and metabolic phenotypes in young school-age children

Author

Huanzi Zhong, Penders, John, Shi, Zhun, Huahui Ren, Kaiye Cai, Fang, Chao, Qiuxia Ding, Thijs, Carel, Blaak, Ellen, Stehouwer, Coen, Xu, Xun, Huanming Yang, Wang, Jian, Wang, Jun, Jonkers, Daisy, Masclee, Ad, Brix, Susanne, Junhua Li, Arts, Ilja, and Kristiansen, Karsten

Abstract

Figure S5. Correlations between continuous phenotypic parameters and species profile in the entire cohort. (a) Spearman’s rank correlations between early events, pre-school lifestyle and species profile (n = 281). (b) Spearman’s rank correlations between blood parameters and species profiles (n = 281). P values were adjusted for each parameter. The “*” indicates significant correlation with adjusted P

Published
2019
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31. MOESM1 of The oral glucose tolerance test-derived incremental glucose peak is associated with greater arterial stiffness and maladaptive arterial remodeling: The Maastricht Study

Author

Foreman, Yuri, Brouwers, Martijn, Tos Berendschot, Dongen, Martien, Eussen, Simone, Greevenbroek, Marleen, Henry, Ronald, Houben, Alfons, Kallen, Carla, Kroon, Abraham, Reesink, Koen, Schram, Miranda, Schaper, Nicolaas, and Stehouwer, Coen

Subjects
Data_FILES
Abstract

Additional file 1. Additional tables.

Published
2019
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32. Additional file 5: of Impact of early events and lifestyle on the gut microbiota and metabolic phenotypes in young school-age children

Author

Huanzi Zhong, Penders, John, Shi, Zhun, Huahui Ren, Kaiye Cai, Fang, Chao, Qiuxia Ding, Thijs, Carel, Blaak, Ellen, Stehouwer, Coen, Xu, Xun, Huanming Yang, Wang, Jian, Wang, Jun, Jonkers, Daisy, Masclee, Ad, Brix, Susanne, Junhua Li, Arts, Ilja, and Kristiansen, Karsten

Abstract

Figure S4. Comparison of gut microbial functional potentials between enterotypes. (a) Differentially enrichment of KEGG modules between enterotypes. Dashed lines indicate a reporter score of 1.96, corresponding to 95% confidence in a normal distribution. (b) Heatmap showing that the relative abundance profiles of 8 selected KOs involved in key functions of metabolic pathways for carbohydrate metabolism (K00845, K01051 and K00873) and amino acid biosynthesis (K01738, K00928, K00058, K00651and K00765) distinguishes E3 from E1 and E2. (PDF 358 kb)

Published
2019
Full Text
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33. Additional file 8: of Impact of early events and lifestyle on the gut microbiota and metabolic phenotypes in young school-age children

Author

Huanzi Zhong, Penders, John, Shi, Zhun, Huahui Ren, Kaiye Cai, Fang, Chao, Qiuxia Ding, Thijs, Carel, Blaak, Ellen, Stehouwer, Coen, Xu, Xun, Huanming Yang, Wang, Jian, Wang, Jun, Jonkers, Daisy, Masclee, Ad, Brix, Susanne, Junhua Li, Arts, Ilja, and Kristiansen, Karsten

Abstract

Figure S7. Correlations between Streptococcus species profile and selected phenotypic parameters in enterotypes. Heatmap showing the Spearman’s rank correlations between Streptococcus species and selected phenotypic parameters including free fatty acids levels and the intake of total carbohydrate, total fat, dietary fiber, and plant-based protein. P values were adjusted for each parameter. The “*” indicates significant correlation with adjusted P 0.05. FFA, free fatty acids. (PDF 197 kb)

Published
2019
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34. Additional file 6: of Impact of early events and lifestyle on the gut microbiota and metabolic phenotypes in young school-age children

Author

Huanzi Zhong, Penders, John, Shi, Zhun, Huahui Ren, Kaiye Cai, Fang, Chao, Qiuxia Ding, Thijs, Carel, Blaak, Ellen, Stehouwer, Coen, Xu, Xun, Huanming Yang, Wang, Jian, Wang, Jun, Jonkers, Daisy, Masclee, Ad, Brix, Susanne, Junhua Li, Arts, Ilja, and Kristiansen, Karsten

Abstract

Figure S5. Correlations between continuous phenotypic parameters and species profile in the entire cohort. (a) Spearman’s rank correlations between early events, pre-school lifestyle and species profile (n = 281). (b) Spearman’s rank correlations between blood parameters and species profiles (n = 281). P values were adjusted for each parameter. The “*” indicates significant correlation with adjusted P

Published
2019
Full Text
View/download PDF

35. Additional file 7: of Impact of early events and lifestyle on the gut microbiota and metabolic phenotypes in young school-age children

Author

Huanzi Zhong, Penders, John, Shi, Zhun, Huahui Ren, Kaiye Cai, Fang, Chao, Qiuxia Ding, Thijs, Carel, Blaak, Ellen, Stehouwer, Coen, Xu, Xun, Huanming Yang, Wang, Jian, Wang, Jun, Jonkers, Daisy, Masclee, Ad, Brix, Susanne, Junhua Li, Arts, Ilja, and Kristiansen, Karsten

Abstract

Figure S6. Correlations between continuous phenotypic parameters. (a) Spearman’s rank correlations between continuous phenotypic parameters in the entire cohort (n = 281). (b) Spearman’s correlations between continuous phenotypic parameters in E1 (n = 143). (c) Spearman’s rank correlations between continuous phenotypic parameters in E2 (n = 74). (d) Spearman’s rank correlations between continuous phenotypic parameters in E3 (n = 64). The “*” indicates significant correlation with adjusted P

Published
2019
Full Text
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36. Additional file 4: of Impact of early events and lifestyle on the gut microbiota and metabolic phenotypes in young school-age children

Author

Huanzi Zhong, Penders, John, Shi, Zhun, Huahui Ren, Kaiye Cai, Fang, Chao, Qiuxia Ding, Thijs, Carel, Blaak, Ellen, Stehouwer, Coen, Xu, Xun, Huanming Yang, Wang, Jian, Wang, Jun, Jonkers, Daisy, Masclee, Ad, Brix, Susanne, Junhua Li, Arts, Ilja, and Kristiansen, Karsten

Subjects
fungi
Abstract

Figure S3. Comparison of gut microbial compositional and functional structure between enterotypes. (a-c) Comparison of gene count, gene-based Shannon diversity and reads mapping ratio to the taxonomic annotated genes between enterotypes. (d-f) Comparison of gene count, KO-based Shannon diversity and reads mapping ratio to the KO annotated genes between enterotypes. Dunn’s post hoc test, *, P

Published
2019
Full Text
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37. Additional file 8: of Impact of early events and lifestyle on the gut microbiota and metabolic phenotypes in young school-age children

Author

Huanzi Zhong, Penders, John, Shi, Zhun, Huahui Ren, Kaiye Cai, Fang, Chao, Qiuxia Ding, Thijs, Carel, Blaak, Ellen, Stehouwer, Coen, Xu, Xun, Huanming Yang, Wang, Jian, Wang, Jun, Jonkers, Daisy, Masclee, Ad, Brix, Susanne, Junhua Li, Arts, Ilja, and Kristiansen, Karsten

Abstract

Figure S7. Correlations between Streptococcus species profile and selected phenotypic parameters in enterotypes. Heatmap showing the Spearman’s rank correlations between Streptococcus species and selected phenotypic parameters including free fatty acids levels and the intake of total carbohydrate, total fat, dietary fiber, and plant-based protein. P values were adjusted for each parameter. The “*” indicates significant correlation with adjusted P 0.05. FFA, free fatty acids. (PDF 197 kb)

Published
2019
Full Text
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38. Additional file 9: of Impact of early events and lifestyle on the gut microbiota and metabolic phenotypes in young school-age children

Author

Huanzi Zhong, Penders, John, Shi, Zhun, Huahui Ren, Kaiye Cai, Fang, Chao, Qiuxia Ding, Thijs, Carel, Blaak, Ellen, Stehouwer, Coen, Xu, Xun, Huanming Yang, Wang, Jian, Wang, Jun, Jonkers, Daisy, Masclee, Ad, Brix, Susanne, Junhua Li, Arts, Ilja, and Kristiansen, Karsten

Abstract

Figure S8. Evaluation of enterotying protocols for Dutch children. (a-c) Evaluation of optimal cluster number by using the DMM protocol (a), the PAM-JSD protocol (b) and the PAM-BC protocol (c). The optimal number of clusters was calculated using Laplace approximation for the DMM protocol (a) and the Calinskiâ Harabasz index for the PAM-based protocols (b-c). Cluster stability using the DMM (d), the PAM-JSD (e) and the PAM-BC protocols (f). The X axis indicates resampling number and the Y axis indicates the consistency of resampling relative to the original result based on 281 samples. (PDF 221 kb)

Published
2019
Full Text
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39. Additional file 4: of Impact of early events and lifestyle on the gut microbiota and metabolic phenotypes in young school-age children

Author

Huanzi Zhong, Penders, John, Shi, Zhun, Huahui Ren, Kaiye Cai, Fang, Chao, Qiuxia Ding, Thijs, Carel, Blaak, Ellen, Stehouwer, Coen, Xu, Xun, Huanming Yang, Wang, Jian, Wang, Jun, Jonkers, Daisy, Masclee, Ad, Brix, Susanne, Junhua Li, Arts, Ilja, and Kristiansen, Karsten

Subjects
fungi
Abstract

Figure S3. Comparison of gut microbial compositional and functional structure between enterotypes. (a-c) Comparison of gene count, gene-based Shannon diversity and reads mapping ratio to the taxonomic annotated genes between enterotypes. (d-f) Comparison of gene count, KO-based Shannon diversity and reads mapping ratio to the KO annotated genes between enterotypes. Dunn’s post hoc test, *, P

Published
2019
Full Text
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40. Supplemental_file - The Association Between β-Blocker Use and Cardiorespiratory Fitness: The Maastricht Study

Author

Nielen, Johannes T. H., Vries, Frank De, Jeroen. H. P. M. Van Der Velde, Savelberg, Hans H. C. M., Schaper, Nicolaas C., Dagnelie, Pieter C., Henry, Ronald M. A., Schram, Miranda, Stehouwer, Coen D. A., Boonen, Annelies, Koster, Annemarie, and Bemt, Bart J. F. Van Den

Subjects
110203 Respiratory Diseases, FOS: Clinical medicine, Cardiology, 110323 Surgery, 110306 Endocrinology, 111599 Pharmacology and Pharmaceutical Sciences not elsewhere classified
Abstract

Supplemental_file for The Association Between β-Blocker Use and Cardiorespiratory Fitness: The Maastricht Study by Johannes T. H. Nielen, Frank de Vries, Jeroen. H. P. M. van der Velde, Hans H. C. M. Savelberg, Nicolaas C. Schaper, Pieter C. Dagnelie, Ronald M. A. Henry, Miranda Schram, Coen D. A. Stehouwer, Annelies Boonen, Annemarie Koster, and Bart J. F. van den Bemt in Journal of Cardiovascular Pharmacology and Therapeutics

Published
2018
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41. A SNP panel for identification of DNA and RNA specimens

Author

Yousefi, Soheil, Abbassi-Daloii, Tooba, Kraaijenbrink, Thirsa, Vermaat, Martijn, Mei, Hailiang, van't Hof, Peter, van Iterson, Maarten, Zhernakova, Daria V., Claringbould, Annique, Franke, Lude, 't Hart, Leen M., Slieker, Roderick C., van der Heijden, Amber, de Knijff, Peter, 't Hoen, Peter A. C., Jansen, R., van Meurs, J., Heijmans, B.T., Boomsma, D.I., van Dongen, J., Hottenga, Jouke-Jan, Slagboom, P.E., Suchiman, H. Eka D., van Zwet, Erik W., 't Hoen, P., Pool, R., van Greevenbroek, Marleen, Stehouwer, Coen, van der Kallen, Carla, Schalkwijk, Casper, Wijmenga, C., Zhernakova, A., Tigchelaar, E.F., Beekman, M, Deelen, J, van Heemst, D., Veldink, J H., van den Berg, L.H., van Duijn, C.M., Hofman, B. A., Uitterlinden, A. G., Jhamai, P. Mila, Verbiest, M., Verkerk, M., van der Breggen, Ruud, van Rooij, J., Lakenberg, N., Mei, H., Bot, J., Zhernakova, D. V., Van't Hof, P., Deelen, P., Nooren, I., Moed, M., Vermaat, M., Bonder, M.J., van Dijk, F., van Galen, M., Arindrarto, Wibowo, Kielbasa, Szymon M., Swertz, Morris A., Isaacs, A., Franke, L., Biological Psychology, APH - Mental Health, APH - Methodology, Amsterdam Neuroscience - Mood, Anxiety, Psychosis, Stress & Sleep, APH - Personalized Medicine, APH - Health Behaviors & Chronic Diseases, Groningen Institute for Gastro Intestinal Genetics and Immunology (3GI), Stem Cell Aging Leukemia and Lymphoma (SALL), Epidemiology and Data Science, APH - Aging & Later Life, General practice, Amsterdam Neuroscience - Complex Trait Genetics, Psychiatry, RS: CARIM - R3.01 - Vascular complications of diabetes and the metabolic syndrome, Interne Geneeskunde, MUMC+: HVC Pieken Maastricht Studie (9), and MUMC+: MA Interne Geneeskunde (3)

Subjects
0301 basic medicine, Netherlands Twin Register (NTR), BLOOD, INDIVIDUAL IDENTIFICATION, Individuality, Linkage Disequilibrium, 0302 clinical medicine, Gene Frequency, MARKERS, Genotype, Ethnicity, GeneralLiterature_REFERENCE(e.g.,dictionaries,encyclopedias,glossaries), Mix up samples, Genetics, education.field_of_study, CODIS CORE LOCI, High-Throughput Nucleotide Sequencing, 16. Peace & justice, Justice and Strong Institutions, DNA profiling, POPULATIONS, DNA microarray, MESSENGER-RNA, Biotechnology, Research Article, Biobanking, Patient Identification Systems, SDG 16 - Peace, lcsh:QH426-470, lcsh:Biotechnology, Population, UNITED-STATES, Single-nucleotide polymorphism, Biology, Polymorphism, Single Nucleotide, VALIDATION, 03 medical and health sciences, All institutes and research themes of the Radboud University Medical Center, lcsh:TP248.13-248.65, Journal Article, SNP, Humans, 030216 legal & forensic medicine, Genetic Testing, Genetic variation, education, Genotyping, Forensics, SDG 16 - Peace, Justice and Strong Institutions, DNA, DNA Fingerprinting, Minor allele frequency, FORENSIC IDENTIFICATION, lcsh:Genetics, 030104 developmental biology, Genetics, Population, RNA, MULTIPLEX, Sample tracking, Nanomedicine Radboud Institute for Molecular Life Sciences [Radboudumc 19]
Abstract

Background SNP panels that uniquely identify an individual are useful for genetic and forensic research. Previously recommended SNP panels are based on DNA profiles and mostly contain intragenic SNPs. With the increasing interest in RNA expression profiles, we aimed for establishing a SNP panel for both DNA and RNA-based genotyping. Results To determine a small set of SNPs with maximally discriminative power, genotype calls were obtained from DNA and blood-derived RNA sequencing data belonging to healthy, geographically dispersed, Dutch individuals. SNPs were selected based on different criteria like genotype call rate, minor allele frequency, Hardy–Weinberg equilibrium and linkage disequilibrium. A panel of 50 SNPs was sufficient to identify an individual uniquely: the probability of identity was 6.9 × 10− 20 when assuming no family relations and 1.2 × 10− 10 when accounting for the presence of full sibs. The ability of the SNP panel to uniquely identify individuals on DNA and RNA level was validated in an independent population dataset. The panel is applicable to individuals from European descent, with slightly lower power in non-Europeans. Whereas most of the genes containing the 50 SNPs are expressed in various tissues, our SNP panel needs optimization for other tissues than blood. Conclusions This first DNA/RNA SNP panel will be useful to identify sample mix-ups in biomedical research and for assigning DNA and RNA stains in crime scenes to unique individuals. Electronic supplementary material The online version of this article (10.1186/s12864-018-4482-7) contains supplementary material, which is available to authorized users.

Published
2018

42. Additional file 1: Table S1. of The association of early life socioeconomic conditions with prediabetes and type 2 diabetes: results from the Maastricht study

Author

Derks, Ivonne, Koster, Annemarie, Schram, Miranda, Stehouwer, Coen, Dagnelie, Pieter, Groffen, Danielle, and Bosma, Hans

Subjects
body regions, nervous system, fungi
Abstract

Associations between early life socioeconomic conditions and health behaviour and BMI, nâ =â 3263. (PDF 146 kb)

Published
2017
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47. Additional file 1: of Socially isolated individuals are more prone to have newly diagnosed and prevalent type 2 diabetes mellitus - the Maastricht study â

Author

Brinkhues, Stephanie, Dukers-Muijrers, Nicole, Hoebe, Christian, Kallen, Carla Van Der, Dagnelie, Pieter, Koster, Annemarie, Henry, Ronald, Sep, Simone, Schaper, Nicolaas, Stehouwer, Coen, Bosma, Hans, Savelkoul, Paul, and Schram, Miranda

Abstract

A detailed description of the social network questionnaire and the structural characteristics of the social network. Includes a detailed description of the social network questionnaire used in the present report. (DOCX 18Â kb)

Published
2017
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48. Additional file 1: Table S1. of The association of early life socioeconomic conditions with prediabetes and type 2 diabetes: results from the Maastricht study

Author

Derks, Ivonne, Koster, Annemarie, Schram, Miranda, Stehouwer, Coen, Dagnelie, Pieter, Groffen, Danielle, and Bosma, Hans

Subjects
body regions, nervous system, fungi
Abstract

Associations between early life socioeconomic conditions and health behaviour and BMI, nâ =â 3263. (PDF 146 kb)

Published
2017
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49. MOESM1 of Circulating matrix metalloproteinases are associated with arterial stiffness in patients with type 1 diabetes: pooled analysis of three cohort studies

Author

Peeters, Stijn, Engelen, Lian, Buijs, Jacqueline, Nish Chaturvedi, Fuller, John, Jorsal, Anders, Hans-Henrik Parving, Tarnow, Lise, Theilade, Simone, Rossing, Peter, Schalkwijk, Casper, and Stehouwer, Coen

Abstract

Additional file 1: Table S1. Baseline characteristics of the three studies. Table S2. Patient characteristics according to tertiles of PP (n=1517). Table S3. Associations between circulating levels of MMP-1, -2, -3, -9, and -10 and TIMP-1 and 24-h PP measurements in PROFIL. Table S4. Associations between circulating levels of MMP-1, -2, -3, -9, and -10 and TIMP-1 and PP per study.

Published
2017
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