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916 results on '"van Greevenbroek, Marleen"'

1. Subclassification of obesity for precision prediction of cardiometabolic diseases

Author

Coral, Daniel E., Smit, Femke, Farzaneh, Ali, Gieswinkel, Alexander, Tajes, Juan Fernandez, Sparsø, Thomas, Delfin, Carl, Bauvin, Pierre, Wang, Kan, Temprosa, Marinella, De Cock, Diederik, Blanch, Jordi, Fernández-Real, José Manuel, Ramos, Rafael, Ikram, M. Kamran, Gomez, Maria F., Kavousi, Maryam, Panova-Noeva, Marina, Wild, Philipp S., van der Kallen, Carla, Adriaens, Michiel, van Greevenbroek, Marleen, Arts, Ilja, Le Roux, Carel, Ahmadizar, Fariba, Frayling, Timothy M., Giordano, Giuseppe N., Pearson, Ewan R., and Franks, Paul W.

Published
2024
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2. Microvascular Dysfunction and Whole-Brain White Matter Connectivity: The Maastricht Study.

Author

Beran, Magdalena, van Gennip, April, Stehouwer, Coen, Jansen, Jacobus, Gupta, Monideepa, Houben, Alfons, Berendschot, Tos, Webers, Carroll, Wesselius, Anke, Schalkwijk, Casper, Backes, Walter, de Jong, Joost, van der Kallen, Carla, van Greevenbroek, Marleen, Köhler, Sebastian, Vonk, Jet, Geerlings, Mirjam, Schram, Miranda, and van Sloten, Thomas

Subjects
cerebral microcirculation, cohort, diffusion tensor imaging, microvascular dysfunction, white matter connectivity, Humans, Female, Middle Aged, Aged, Male, White Matter, Cross-Sectional Studies, Brain, Diffusion Magnetic Resonance Imaging, Biomarkers
Abstract

BACKGROUND: Microvascular dysfunction is involved in the development of various cerebral disorders. It may contribute to these disorders by disrupting white matter tracts and altering brain connectivity, but evidence is scarce. We investigated the association between multiple biomarkers of microvascular function and whole-brain white matter connectivity. METHODS AND RESULTS: Cross-sectional data from The Maastricht Study, a Dutch population-based cohort (n=4326; age, 59.4±8.6 years; 49.7% women). Measures of microvascular function included urinary albumin excretion, central retinal arteriolar and venular calibers, composite scores of flicker light-induced retinal arteriolar and venular dilation, and plasma biomarkers of endothelial dysfunction (intercellular adhesion molecule-1, vascular cell adhesion molecule-1, E-selectin, and von Willebrand factor). White matter connectivity was calculated from 3T diffusion magnetic resonance imaging to quantify the number (average node degree) and organization (characteristic path length, global efficiency, clustering coefficient, and local efficiency) of white matter connections. A higher plasma biomarkers of endothelial dysfunction composite score was associated with a longer characteristic path length (β per SD, 0.066 [95% CI, 0.017-0.114]) after adjustment for sociodemographic, lifestyle, and cardiovascular factors but not with any of the other white matter connectivity measures. After multiple comparison correction, this association was nonsignificant. None of the other microvascular function measures were associated with any of the connectivity measures. CONCLUSIONS: These findings suggest that microvascular dysfunction as measured by indirect markers is not associated with whole-brain white matter connectivity.

Published
2024

3. Greater exposure to PM2.5 and PM10 was associated with lower corneal nerve measures: the Maastricht study - a cross-sectional study

Author

Mokhtar, Sara B. A., Viljoen, Jessica, van der Kallen, Carla J. H., Berendschot, Tos T. J. M., Dagnelie, Pieter C., Albers, Jeroen D., Soeterboek, Jens, Scarpa, Fabio, Colonna, Alessia, van der Heide, Frank C. T., van Greevenbroek, Marleen M. J., Bosm, Hans, Kroon, Abraham A., Nuijts, Rudy M. M. A., Gijs, Marlies, Lakerveld, Jeroen, Malik, Rayaz A., Webers, Carroll A. B., Stehouwer, Coen D. A., and Koster, Annemarie

Published
2024
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4. Dietary sulfur amino acid restriction in humans with overweight and obesity: a translational randomized controlled trial

Author

Olsen, Thomas, Stolt, Emma, Øvrebø, Bente, Elshorbagy, Amany, Tore, Elena C., Lee-Ødegård, Sindre, Troensegaard, Hannibal, Johannessen, Hanna, Doeland, Beate, Vo, Anna A. D., Dahl, Anja F., Svendsen, Karianne, Thoresen, Magne, Refsum, Helga, Rising, Russell, Barvíková, Kristýna, van Greevenbroek, Marleen, Kožich, Viktor, Retterstøl, Kjetil, and Vinknes, Kathrine J.

Published
2024
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7. Author Correction: Subclassification of obesity for precision prediction of cardiometabolic diseases

Author

Coral, Daniel E., Smit, Femke, Farzaneh, Ali, Gieswinkel, Alexander, Tajes, Juan Fernandez, Sparsø, Thomas, Delfin, Carl, Bauvin, Pierre, Wang, Kan, Temprosa, Marinella, De Cock, Diederik, Blanch, Jordi, Fernández-Real, José Manuel, Ramos, Rafael, Ikram, M. Kamran, Gomez, Maria F., Kavousi, Maryam, Panova-Noeva, Marina, Wild, Philipp S., van der Kallen, Carla, Adriaens, Michiel, van Greevenbroek, Marleen, Arts, Ilja, Le Roux, Carel, Ahmadizar, Fariba, Frayling, Timothy M., Giordano, Giuseppe N., Pearson, Ewan R., and Franks, Paul W.

Published
2024
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9. The association of obesogenic environments with weight status, blood pressure, and blood lipids: A cross-sectional pooled analysis across five cohorts

Author

T Schram, Miranda, Dagnelie, Pieter C., van Greevenbroek, Marleen MJ., Stehouwer, Coen DA., van der Kallen, Carla J., Meijer, Paul, Lam, Thao Minh, Vaartjes, Ilonca, Moll van Charante, Eric, Galenkamp, Henrike, Koster, Annemarie, van den Hurk, Katja, den Braver, Nicole R., Blom, Marieke T., de Jong, Trynke, Grobbee, Diederick E., Beulens, Joline WJ., and Lakerveld, Jeroen

Published
2024
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10. Metabolomics profiling of Type D personality traits

Author

Li-Gao, Ruifang, Bot, Mariska, Kurilshikov, Alexander, Willemsen, Gonneke, van Greevenbroek, Marleen M.J., Schram, Miranda M.T., Stehouwer, Coen D.A., Fu, Jingyuan, Zhernakova, Alexandra, Penninx, Brenda W.J.H., De Geus, Eco J.C., Boomsma, Dorret I., and Kupper, Nina

Published
2025
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11. (Pre)diabetes and a higher level of glycaemic measures are continuously associated with corneal neurodegeneration assessed by corneal confocal microscopy: the Maastricht Study

Author

Mokhtar, Sara B. A., van der Heide, Frank C. T., Oyaert, Karel A. M., van der Kallen, Carla J. H., Berendschot, Tos T. J. M., Scarpa, Fabio, Colonna, Alessia, de Galan, Bastiaan E., van Greevenbroek, Marleen M. J., Dagnelie, Pieter C., Schalkwijk, Casper G., Nuijts, Rudy M. M. A., Schaper, Nicolaas C., Kroon, Abraham A., Schram, Miranda T., Webers, Carroll A. B., and Stehouwer, Coen D. A.

Published
2023
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13. Alcohol consumption and microvascular dysfunction: a J-shaped association: The Maastricht Study

Author

van der Heide, Frank C. T., Eussen, Simone J. P. M., Houben, Alfons J. H. M., Henry, Ronald M. A., Kroon, Abraham A., van der Kallen, Carla J. H., Dagnelie, Pieter C., van Dongen, Martien C. J. M., Berendschot, Tos T. J. M., Schouten, Jan S. A. G., Webers, Carroll A. B., van Greevenbroek, Marleen M. J., Wesselius, Anke, Schalkwijk, Casper G., Koster, Annemarie, Jansen, Jacobus F. A., Backes, Walter H., Beulens, Joline W. J., and Stehouwer, Coen D. A.

Published
2023
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15. 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

Published
2023
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16. Comprehensive evaluation of smoking exposures and their interactions on DNA methylation

Author

Heijmans, Bastiaan, ’t Hoen, Peter, van Meurs, Joyce, Jansen, Rick, Franke, Lude, Boomsma, Dorret, Pool, René, van Dongen, Jenny, Hottenga, Jouke, van Greevenbroek, Marleen, Stehouwer, Coen, van der Kallen, Carla, Schalkwijk, Casper, Wijmenga, Cisca, Zhernakova, Sasha, Tigchelaar, Ettje, Slagboom, P. Eline, Beekman, Marian, Deelen, Joris, Van Heemst, Diana, Veldink, Jan, van den Berg, Leonard, van Duijn, Cornelia, Hofman, Bert, Isaacs, Aaron, Uitterlinden, André, Jhamai, P. Mila, Verbiest, Michael, Suchiman, H. Eka, Verkerk, Marijn, van der Breggen, Ruud, van Rooij, Jeroen, Lakenberg, Nico, Mei, Hailiang, van Iterson, Maarten, van Galen, Michiel, Bot, Jan, Zhernakova, Dasha, van ‘t Hof, Peter, Deelen, Patrick, Nooren, Irene, Moed, Matthijs, Vermaat, Martijn, Luijk, René, Bonder, Marc, van Dijk, Freerk, Arindrarto, Wibowo, Kielbasa, Szymon, Swertz, Morris, van Zwet, Erik, Hoang, Thanh T., Lee, Yunsung, McCartney, Daniel L., Kersten, Elin T.G., Page, Christian M., Hulls, Paige M., Lee, Mikyeong, Walker, Rosie M., Breeze, Charles E., Bennett, Brian D., Burkholder, Adam B., Ward, James, Brantsæter, Anne Lise, Caspersen, Ida H., Motsinger-Reif, Alison A., Richards, Marie, White, Julie D., Zhao, Shanshan, Richmond, Rebecca C., Magnus, Maria C., Koppelman, Gerard H., Evans, Kathryn L., Marioni, Riccardo E., Håberg, Siri E., and London, Stephanie J.

Published
2024
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17. Sex differences in body composition in people with prediabetes and type 2 diabetes as compared with people with normal glucose metabolism: the Maastricht Study

Author

de Ritter, Rianneke, Sep, Simone J. S., van Greevenbroek, Marleen M. J., Kusters, Yvo H. A. M., Vos, Rimke C., Bots, Michiel L., Kooi, M. Eline, Dagnelie, Pieter C., Eussen, Simone J. P. M., Schram, Miranda T., Koster, Annemarie, Brouwers, Martijn C. G., van der Sangen, Niels M. R., Peters, Sanne A. E., van der Kallen, Carla J. H., and Stehouwer, Coen D. A.

Published
2023
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19. Associations between plasma sulfur amino acids and specific fat depots in two independent cohorts: CODAM and The Maastricht Study

Author

Tore, Elena C., Elshorbagy, Amany K., Bakers, Frans C. H., Brouwers, Martijn C. G. J., Dagnelie, Pieter C., Eussen, Simone J. P. M., Jansen, Jacobus F. A., Kooi, M. Eline, Kusters, Yvo H. A. M., Meex, Steven J. R., Olsen, Thomas, Refsum, Helga, Retterstøl, Kjetil, Schalkwijk, Casper G., Stehouwer, Coen D. A., Vinknes, Kathrine J., and van Greevenbroek, Marleen M. J.

Published
2023
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22. Both short and long sleep durations are associated with type 2 diabetes, independent from traditional lifestyle risk factors—The Maastricht Study

Author

Albers, Jeroen D., Meertens, Ree M., Savelberg, Hans H.C.M., Köhler, Sebastian, Wesselius, Anke, Schram, Miranda T., Stehouwer, Coen D.A., de Galan, Bastiaan E., van Greevenbroek, Marleen M.J., van der Kallen, Carla J.H., Eussen, Simone J.P.M., Bosma, Hans, Schaper, Nicolaas C., and Koster, Annemarie

Published
2023
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24. Direct Classification of Type 2 Diabetes From Retinal Fundus Images in a Population-based Sample From The Maastricht Study

Author

Heslinga, Friso G., Pluim, Josien P. W., Houben, A. J. H. M., Schram, Miranda T., Henry, Ronald M. A., Stehouwer, Coen D. A., van Greevenbroek, Marleen J., Berendschot, Tos T. J. M., and Veta, Mitko

Subjects
Electrical Engineering and Systems Science - Image and Video Processing, Computer Science - Computer Vision and Pattern Recognition, Computer Science - Machine Learning, Statistics - Machine Learning
Abstract

Type 2 Diabetes (T2D) is a chronic metabolic disorder that can lead to blindness and cardiovascular disease. Information about early stage T2D might be present in retinal fundus images, but to what extent these images can be used for a screening setting is still unknown. In this study, deep neural networks were employed to differentiate between fundus images from individuals with and without T2D. We investigated three methods to achieve high classification performance, measured by the area under the receiver operating curve (ROC-AUC). A multi-target learning approach to simultaneously output retinal biomarkers as well as T2D works best (AUC = 0.746 [$\pm$0.001]). Furthermore, the classification performance can be improved when images with high prediction uncertainty are referred to a specialist. We also show that the combination of images of the left and right eye per individual can further improve the classification performance (AUC = 0.758 [$\pm$0.003]), using a simple averaging approach. The results are promising, suggesting the feasibility of screening for T2D from retinal fundus images., Comment: to be published in the proceeding of SPIE - Medical Imaging 2020, 6 pages, 1 figure

Published
2019

30. Sedentary behaviour and physical activity are associated with biomarkers of endothelial dysfunction and low-grade inflammation—relevance for (pre)diabetes: The Maastricht Study

Author

Vandercappellen, Evelien J., Koster, Annemarie, Savelberg, Hans H. C. M., Eussen, Simone J. P. M., Dagnelie, Pieter C., Schaper, Nicolaas C., Schram, Miranda T., van der Kallen, Carla J. H., van Greevenbroek, Marleen M. J., Wesselius, Anke, Schalkwijk, Casper G., Kroon, Abraham A., Henry, Ronald M. A., and Stehouwer, Coen D. A.

Published
2022
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31. (Pre)diabetes, glycemia, and daily glucose variability are associated with retinal nerve fiber layer thickness in The Maastricht Study

Author

van der Heide, Frank C. T., Foreman, Yuri D., Franken, Iris W. M., 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., Webers, Carroll A. B., Schram, Miranda T., van der Kallen, Carla J. H., van Greevenbroek, Marleen M. J., Wesselius, Anke, Schalkwijk, Casper G., Schaper, Nicolaas C., Brouwers, Martijn C. G. J., and Stehouwer, Coen D. A.

Published
2022
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34. Greater exposure to PM2.5 and PM10 was associated with lower corneal nerve measures: the Maastricht study - a cross-sectional study.

Author

Mokhtar, Sara B. A., Viljoen, Jessica, van der Kallen, Carla J. H., Berendschot, Tos T. J. M., Dagnelie, Pieter C., Albers, Jeroen D., Soeterboek, Jens, Scarpa, Fabio, Colonna, Alessia, van der Heide, Frank C. T., van Greevenbroek, Marleen M. J., Bosm, Hans, Kroon, Abraham A., Nuijts, Rudy M. M. A., Gijs, Marlies, Lakerveld, Jeroen, Malik, Rayaz A., Webers, Carroll A. B., Stehouwer, Coen D. A., and Koster, Annemarie

Subjects
AIR pollutants, TYPE 2 diabetes, PARTICULATE matter, FRACTAL dimensions, AIR pollution
Abstract

Background: Epidemiological and toxicological studies indicate that increased exposure to air pollutants can lead to neurodegenerative diseases. To further confirm this relationship, we evaluated the association between exposure to ambient air pollutants and corneal nerve measures as a surrogate for neurodegeneration, using corneal confocal microscopy. Methods: We used population-based observational cross-sectional data from The Maastricht Study including N = 3635 participants (mean age 59.3 years, 51.6% were women, and 19.9% had type 2 diabetes) living in the Maastricht area. Using the Geoscience and hEalth Cohort COnsortium (GECCO) data we linked the yearly average exposure levels of ambient air pollutants at home address-level [particulate matter with diameters of ≤ 2.5 µm (PM2.5), and ≤ 10.0 µm (PM10), nitrogen dioxide (NO2), and elemental carbon (EC)]. We used linear regression analysis to study the associations between Z-score for ambient air pollutants concentrations (PM2.5, PM10, NO2, and EC) and Z-score for individual corneal nerve measures (corneal nerve bifurcation density, corneal nerve density, corneal nerve length, and fractal dimension). Results: After adjustment for potential confounders (age, sex, level of education, glucose metabolism status, corneal confocal microscopy lag time, inclusion year of participants, smoking status, and alcohol consumption), higher Z-scores for PM2.5 and PM10 were associated with lower Z-scores for corneal nerve bifurcation density, nerve density, nerve length, and nerve fractal dimension [stβ (95% CI): PM2.5 -0.10 (-0.14; -0.05), -0.04 (-0.09; 0.01), -0.11 (-0.16; -0.06), -0.20 (-0.24; -0.15); and PM10 -0.08 (-0.13; -0.03), -0.04 (-0.09; 0.01), -0.08 (-0.13; -0.04), -0.17 (-0.21; -0.12)], respectively. No associations were found between NO2 and EC and corneal nerve measures. Conclusions: Our population-based study demonstrated that exposure to higher levels of PM2.5 and PM10 are associated with higher levels of corneal neurodegeneration, estimated from lower corneal nerve measures. Our results suggest that air pollution may be a determinant for neurodegeneration assessed in the cornea and may impact the ocular surface health as well. [ABSTRACT FROM AUTHOR]

Published
2024
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35. DNA Methylation Analysis Identifies Loci for Blood Pressure Regulation

Author

Richard, Melissa A, Huan, Tianxiao, Ligthart, Symen, Gondalia, Rahul, Jhun, Min A, Brody, Jennifer A, Irvin, Marguerite R, Marioni, Riccardo, Shen, Jincheng, Tsai, Pei-Chien, Montasser, May E, Jia, Yucheng, Syme, Catriona, Salfati, Elias L, Boerwinkle, Eric, Guan, Weihua, Mosley, Thomas H, Bressler, Jan, Morrison, Alanna C, Liu, Chunyu, Mendelson, Michael M, Uitterlinden, André G, van Meurs, Joyce B, Consortium, BIOS, Heijmans, Bastiaan T, Hoen, Peter AC ’t, van Meurs, Joyce, Isaacs, Aaron, Jansen, Rick, Franke, Lude, Boomsma, Dorret I, Pool, René, van Dongen, Jenny, Hottenga, Jouke J, van Greevenbroek, Marleen MJ, Stehouwer, Coen DA, van der Kallen, Carla JH, Schalkwijk, Casper G, Wijmenga, Cisca, Zhernakova, Alexandra, Tigchelaar, Ettje F, Slagboom, P Eline, Beekman, Marian, Deelen, Joris, van Heemst, Diana, Veldink, Jan H, van den Berg, Leonard H, van Duijn, Cornelia M, Hofman, Albert, Jhamai, P Mila, Verbiest, Michael, Suchiman, H Eka D, Verkerk, Marijn, van der Breggen, Ruud, van Rooij, Jeroen, Lakenberg, Nico, Mei, Hailiang, van Iterson, Maarten, van Galen, Michiel, Bot, Jan, van ’t Hof, Peter, Deelen, Patrick, Nooren, Irene, Moed, Matthijs, Vermaat, Martijn, Zhernakova, Dasha V, Luijk, René, Bonder, Marc Jan, van Dijk, Freerk, Arindrarto, Wibowo, Kielbasa, Szymon M, Swertz, Morris A, van Zwet, Erik W, Franco, Oscar H, Zhang, Guosheng, Li, Yun, Stewart, James D, Bis, Joshua C, Psaty, Bruce M, Chen, Yii-Der Ida, Kardia, Sharon LR, Zhao, Wei, Turner, Stephen T, Absher, Devin, Aslibekyan, Stella, Starr, John M, McRae, Allan F, Hou, Lifang, Just, Allan C, Schwartz, Joel D, Vokonas, Pantel S, Menni, Cristina, Spector, Tim D, Shuldiner, Alan, Damcott, Coleen M, Rotter, Jerome I, Palmas, Walter, Liu, Yongmei, and Paus, Tomáš

Subjects
Epidemiology, Biological Sciences, Health Sciences, Genetics, Human Genome, Biotechnology, Aetiology, 2.1 Biological and endogenous factors, Aged, Blood Pressure, CpG Islands, Cross-Sectional Studies, DNA Methylation, Epigenesis, Genetic, Genetic Variation, Genome-Wide Association Study, Humans, Mendelian Randomization Analysis, Middle Aged, Nerve Tissue Proteins, Quantitative Trait Loci, Tetraspanins, BIOS Consortium, DNA methylation, Mendelian randomization, blood pressure, epigenome-wide association study, gene expression, sequence variation, Medical and Health Sciences, Genetics & Heredity, Biological sciences, Biomedical and clinical sciences, Health sciences
Abstract

Genome-wide association studies have identified hundreds of genetic variants associated with blood pressure (BP), but sequence variation accounts for a small fraction of the phenotypic variance. Epigenetic changes may alter the expression of genes involved in BP regulation and explain part of the missing heritability. We therefore conducted a two-stage meta-analysis of the cross-sectional associations of systolic and diastolic BP with blood-derived genome-wide DNA methylation measured on the Infinium HumanMethylation450 BeadChip in 17,010 individuals of European, African American, and Hispanic ancestry. Of 31 discovery-stage cytosine-phosphate-guanine (CpG) dinucleotides, 13 replicated after Bonferroni correction (discovery: N = 9,828, p < 1.0 × 10-7; replication: N = 7,182, p  30%) and independent of known BP genetic variants, explaining an additional 1.4% and 2.0% of the interindividual variation in systolic and diastolic BP, respectively. Bidirectional Mendelian randomization among up to 4,513 individuals of European ancestry from 4 cohorts suggested that methylation at cg08035323 (TAF1B-YWHAQ) influences BP, while BP influences methylation at cg00533891 (ZMIZ1), cg00574958 (CPT1A), and cg02711608 (SLC1A5). Gene expression analyses further identified six genes (TSPAN2, SLC7A11, UNC93B1, CPT1A, PTMS, and LPCAT3) with evidence of triangular associations between methylation, gene expression, and BP. Additional integrative Mendelian randomization analyses of gene expression and DNA methylation suggested that the expression of TSPAN2 is a putative mediator of association between DNA methylation at cg23999170 and BP. These findings suggest that heritable DNA methylation plays a role in regulating BP independently of previously known genetic variants.

Published
2017

36. Retinal microvascular function and incidence and trajectories of clinically relevant depressive symptoms: the Maastricht Study

Author

van Gennip, April C. E., primary, Gupta, Monideepa D., additional, Houben, Alfons J. H. M., additional, Berendschot, Tos T. J. M., additional, Webers, Carroll A. B., additional, van Greevenbroek, Marleen M. J., additional, van der Kallen, Carla J. H., additional, Koster, Annemarie, additional, Wesselius, Anke, additional, Eussen, Simone J. P. M., additional, Schalkwijk, Casper G., additional, de Galan, Bastiaan E., additional, Köhler, Sebastian, additional, Schram, Miranda T., additional, Stehouwer, Coen D. A., additional, and van Sloten, Thomas T., additional

Published
2024
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37. Associations between plasma kynurenines and cognitive function in individuals with normal glucose metabolism, prediabetes and type 2 diabetes: the Maastricht Study

Author

Bakker, Lieke, Ramakers, Inez H. G. B., van Boxtel, Martin P. J., Schram, Miranda T., Stehouwer, Coen D. A., van der Kallen, Carla J. H., Dagnelie, Pieter C., van Greevenbroek, Marleen M. J., Wesselius, Anke, Midttun, Øivind, Ueland, Per M., Verhey, Frans R. J., Eussen, Simone J. P. M., and Köhler, Sebastian

Published
2021
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41. Greater daily glucose variability and lower time in range assessed with continuous glucose monitoring are associated with greater aortic stiffness: The Maastricht Study

Author

Foreman, Yuri D., van Doorn, William P. T. M., Schaper, Nicolaas C., van Greevenbroek, Marleen M. J., van der Kallen, Carla J. H., Henry, Ronald M. A., Koster, Annemarie, Eussen, Simone J. P. M., Wesselius, Anke, Reesink, Koen D., Schram, Miranda T., Dagnelie, Pieter C., Kroon, Abraham A., Brouwers, Martijn C. G. J., and Stehouwer, Coen D. A.

Published
2021
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42. Thinner inner retinal layers are associated with lower cognitive performance, lower brain volume, and altered white matter network structure-The Maastricht Study

Author

MS Interne Geneeskunde, Circulatory Health, van der Heide, Frank C T, Steens, Indra L M, Limmen, Betsie, Mokhtar, Sara, van Boxtel, Martin P J, Schram, Miranda T, Köhler, Sebastian, Kroon, Abraham A, van der Kallen, Carla J H, Dagnelie, Pieter C, van Dongen, Martien C J M, Eussen, Simone J P M, Berendschot, Tos T J M, Webers, Carroll A B, van Greevenbroek, Marleen M J, Koster, Annemarie, van Sloten, Thomas T, Jansen, Jacobus F A, Backes, Walter H, Stehouwer, Coen D A, MS Interne Geneeskunde, Circulatory Health, van der Heide, Frank C T, Steens, Indra L M, Limmen, Betsie, Mokhtar, Sara, van Boxtel, Martin P J, Schram, Miranda T, Köhler, Sebastian, Kroon, Abraham A, van der Kallen, Carla J H, Dagnelie, Pieter C, van Dongen, Martien C J M, Eussen, Simone J P M, Berendschot, Tos T J M, Webers, Carroll A B, van Greevenbroek, Marleen M J, Koster, Annemarie, van Sloten, Thomas T, Jansen, Jacobus F A, Backes, Walter H, and Stehouwer, Coen D A

Published
2024

43. Greater exposure to PM2.5 and PM10 was associated with lower corneal nerve measures: the Maastricht study - a cross-sectional study

Author

Cardiovasculaire Epi Team 10, Mokhtar, Sara B.A., Viljoen, Jessica, van der Kallen, Carla J.H., Berendschot, Tos T.J.M., Dagnelie, Pieter C., Albers, Jeroen D., Soeterboek, Jens, Scarpa, Fabio, Colonna, Alessia, van der Heide, Frank C.T., van Greevenbroek, Marleen M.J., Bosm, Hans, Kroon, Abraham A., Nuijts, Rudy M.M.A., Gijs, Marlies, Lakerveld, Jeroen, Malik, Rayaz A., Webers, Carroll A.B., Stehouwer, Coen D.A., Koster, Annemarie, Cardiovasculaire Epi Team 10, Mokhtar, Sara B.A., Viljoen, Jessica, van der Kallen, Carla J.H., Berendschot, Tos T.J.M., Dagnelie, Pieter C., Albers, Jeroen D., Soeterboek, Jens, Scarpa, Fabio, Colonna, Alessia, van der Heide, Frank C.T., van Greevenbroek, Marleen M.J., Bosm, Hans, Kroon, Abraham A., Nuijts, Rudy M.M.A., Gijs, Marlies, Lakerveld, Jeroen, Malik, Rayaz A., Webers, Carroll A.B., Stehouwer, Coen D.A., and Koster, Annemarie

Published
2024

44. A Federated Database for Obesity Research: An IMI-SOPHIA Study

Author

RWE/Causal inference, Child Health, Delfin, Carl, Dragan, Iulian, Kuznetsov, Dmitry, Tajes, Juan Fernandez, Smit, Femke, Coral, Daniel E, Farzaneh, Ali, Haugg, André, Hungele, Andreas, Niknejad, Anne, Hall, Christopher, Jacobs, Daan, Marek, Diana, Fraser, Diane P, Thuillier, Dorothee, Ahmadizar, Fariba, Mehl, Florence, Pattou, Francois, Burdet, Frederic, Hawkes, Gareth, Arts, Ilja C W, Blanch, Jordi, Van Soest, Johan, Fernández-Real, José-Manuel, Boehl, Juergen, Fink, Katharina, van Greevenbroek, Marleen M J, Kavousi, Maryam, Minten, Michiel, Prinz, Nicole, Ipsen, Niels, Franks, Paul W, Ramos, Rafael, Holl, Reinhard W, Horban, Scott, Duarte-Salles, Talita, Tran, Van Du T, Raverdy, Violeta, Leal, Yenny, Lenart, Adam, Pearson, Ewan, Sparsø, Thomas, Giordano, Giuseppe N, Ioannidis, Vassilios, Soh, Keng, Frayling, Timothy M, Le Roux, Carel W, Ibberson, Mark, RWE/Causal inference, Child Health, Delfin, Carl, Dragan, Iulian, Kuznetsov, Dmitry, Tajes, Juan Fernandez, Smit, Femke, Coral, Daniel E, Farzaneh, Ali, Haugg, André, Hungele, Andreas, Niknejad, Anne, Hall, Christopher, Jacobs, Daan, Marek, Diana, Fraser, Diane P, Thuillier, Dorothee, Ahmadizar, Fariba, Mehl, Florence, Pattou, Francois, Burdet, Frederic, Hawkes, Gareth, Arts, Ilja C W, Blanch, Jordi, Van Soest, Johan, Fernández-Real, José-Manuel, Boehl, Juergen, Fink, Katharina, van Greevenbroek, Marleen M J, Kavousi, Maryam, Minten, Michiel, Prinz, Nicole, Ipsen, Niels, Franks, Paul W, Ramos, Rafael, Holl, Reinhard W, Horban, Scott, Duarte-Salles, Talita, Tran, Van Du T, Raverdy, Violeta, Leal, Yenny, Lenart, Adam, Pearson, Ewan, Sparsø, Thomas, Giordano, Giuseppe N, Ioannidis, Vassilios, Soh, Keng, Frayling, Timothy M, Le Roux, Carel W, and Ibberson, Mark

Published
2024

45. Microvascular Dysfunction and Whole-Brain White Matter Connectivity: The Maastricht Study

Author

Cardiovasculaire Epi Team 7a, Circulatory Health, Cardiovasculaire Epi Team 5, Brain, JC onderzoeksprogramma Cardiovasculaire Epidemiologie, MS Interne Geneeskunde, Beran, Magdalena, van Gennip, April C E, Stehouwer, Coen D A, Jansen, Jacobus F A, Gupta, Monideepa D, Houben, Alfons J H M, Berendschot, Tos T J M, Webers, Carroll A B, Wesselius, Anke, Schalkwijk, Casper G, Backes, Walter H, de Jong, Joost J A, van der Kallen, Carla J H, van Greevenbroek, Marleen M J, Köhler, Sebastian, Vonk, Jet M J, Geerlings, Mirjam I, Schram, Miranda T, van Sloten, Thomas T, Cardiovasculaire Epi Team 7a, Circulatory Health, Cardiovasculaire Epi Team 5, Brain, JC onderzoeksprogramma Cardiovasculaire Epidemiologie, MS Interne Geneeskunde, Beran, Magdalena, van Gennip, April C E, Stehouwer, Coen D A, Jansen, Jacobus F A, Gupta, Monideepa D, Houben, Alfons J H M, Berendschot, Tos T J M, Webers, Carroll A B, Wesselius, Anke, Schalkwijk, Casper G, Backes, Walter H, de Jong, Joost J A, van der Kallen, Carla J H, van Greevenbroek, Marleen M J, Köhler, Sebastian, Vonk, Jet M J, Geerlings, Mirjam I, Schram, Miranda T, and van Sloten, Thomas T

Published
2024

46. The effect of bolus advisors on glycaemic parameters in adults with diabetes on intensive insulin therapy:A systematic review with meta-analysis

Author

den Brok, Elisabeth J., Svensson, Cecilie H., Panagiotou, Maria, van Greevenbroek, Marleen M.J., Mertens, Peter R., Vazeou, Andriani, Mitrakou, Asimina, Makrilakis, Konstantinos, Franssen, Gregor H.L.M., van Kuijk, Sander, Proennecke, Stephan, Mougiakakou, Stavroula, Pedersen-Bjergaard, Ulrik, de Galan, Bastiaan E., den Brok, Elisabeth J., Svensson, Cecilie H., Panagiotou, Maria, van Greevenbroek, Marleen M.J., Mertens, Peter R., Vazeou, Andriani, Mitrakou, Asimina, Makrilakis, Konstantinos, Franssen, Gregor H.L.M., van Kuijk, Sander, Proennecke, Stephan, Mougiakakou, Stavroula, Pedersen-Bjergaard, Ulrik, and de Galan, Bastiaan E.

Abstract

Aim To conduct a systematic review with meta-analysis to provide a comprehensive synthesis of randomized controlled trials (RCTs) and prospective cohort studies investigating the effects of currently available bolus advisors on glycaemic parameters in adults with diabetes. Materials and Methods An electronic search of PubMed, Embase, CINAHL, Cochrane Library and ClinicalTrials.gov was conducted in December 2022. The risk of bias was assessed using the revised Cochrane Risk of Bias tool. (Standardized) mean difference (MD) was selected to determine the difference in continuous outcomes between the groups. A random-effects model meta-analysis and meta-regression were performed. This systematic review was registered on PROSPERO (CRD42022374588). Results A total of 18 RCTs involving 1645 adults (50% females) with a median glycated haemoglobin (HbA1c) concentration of 8.45% (7.95%–9.30%) were included. The majority of participants had type 1 diabetes (N = 1510, 92%) and were on multiple daily injections (N = 1173, 71%). Twelve of the 18 trials had low risk of bias. The meta-analysis of 10 studies with available data on HbA1c showed that the use of a bolus advisor modestly reduced HbA1c compared to standard treatment (MD −011%, 95% confidence interval −0.22 to −0.01; I2 = 0%). This effect was accompanied by small improvements in low blood glucose index and treatment satisfaction, but not with reductions in hypoglycaemic events or changes in other secondary outcomes. Conclusion Use of a bolus advisor is associated with slightly better glucose control and treatment satisfaction in people with diabetes on intensive insulin treatment. Future studies should investigate whether personalizing bolus advisors using artificial intelligence technology can enhance these effects., Aim: To conduct a systematic review with meta-analysis to provide a comprehensive synthesis of randomized controlled trials (RCTs) and prospective cohort studies investigating the effects of currently available bolus advisors on glycaemic parameters in adults with diabetes. Materials and Methods: An electronic search of PubMed, Embase, CINAHL, Cochrane Library and ClinicalTrials.gov was conducted in December 2022. The risk of bias was assessed using the revised Cochrane Risk of Bias tool. (Standardized) mean difference (MD) was selected to determine the difference in continuous outcomes between the groups. A random-effects model meta-analysis and meta-regression were performed. This systematic review was registered on PROSPERO (CRD42022374588). Results: A total of 18 RCTs involving 1645 adults (50% females) with a median glycated haemoglobin (HbA1c) concentration of 8.45% (7.95%–9.30%) were included. The majority of participants had type 1 diabetes (N = 1510, 92%) and were on multiple daily injections (N = 1173, 71%). Twelve of the 18 trials had low risk of bias. The meta-analysis of 10 studies with available data on HbA1c showed that the use of a bolus advisor modestly reduced HbA1c compared to standard treatment (MD −011%, 95% confidence interval −0.22 to −0.01; I2 = 0%). This effect was accompanied by small improvements in low blood glucose index and treatment satisfaction, but not with reductions in hypoglycaemic events or changes in other secondary outcomes. Conclusion: Use of a bolus advisor is associated with slightly better glucose control and treatment satisfaction in people with diabetes on intensive insulin treatment. Future studies should investigate whether personalizing bolus advisors using artificial intelligence technology can enhance these effects.

Published
2024

47. A Federated Database for Obesity Research:An IMI-SOPHIA Study

Author

Delfin, Carl, Dragan, Iulian, Kuznetsov, Dmitry, Tajes, Juan Fernandez, Smit, Femke, Coral, Daniel E., Farzaneh, Ali, Haugg, Andre, Hungele, Andreas, Niknejad, Anne, Hall, Christopher, Jacobs, Daan, Marek, Diana, Fraser, Diane P., Thuillier, Dorothee, Ahmadizar, Fariba, Mehl, Florence, Pattou, Francois, Burdet, Frederic, Hawkes, Gareth, Arts, Ilja C. W., Blanch, Jordi, Van Soest, Johan, Fernandez-Real, Jose-Manuel, Boehl, Juergen, Fink, Katharina, van Greevenbroek, Marleen M. J., Kavousi, Maryam, Minten, Michiel, Prinz, Nicole, Ipsen, Niels, Franks, Paul W., Ramos, Rafael, Holl, Reinhard W., Horban, Scott, Duarte-Salles, Talita, Tran, Van Du T., Raverdy, Violeta, Leal, Yenny, Lenart, Adam, Pearson, Ewan, Sparso, Thomas, Giordano, Giuseppe N., Ioannidis, Vassilios, Soh, Keng, Frayling, Timothy M., Le Roux, Carel W., Ibberson, Mark, Delfin, Carl, Dragan, Iulian, Kuznetsov, Dmitry, Tajes, Juan Fernandez, Smit, Femke, Coral, Daniel E., Farzaneh, Ali, Haugg, Andre, Hungele, Andreas, Niknejad, Anne, Hall, Christopher, Jacobs, Daan, Marek, Diana, Fraser, Diane P., Thuillier, Dorothee, Ahmadizar, Fariba, Mehl, Florence, Pattou, Francois, Burdet, Frederic, Hawkes, Gareth, Arts, Ilja C. W., Blanch, Jordi, Van Soest, Johan, Fernandez-Real, Jose-Manuel, Boehl, Juergen, Fink, Katharina, van Greevenbroek, Marleen M. J., Kavousi, Maryam, Minten, Michiel, Prinz, Nicole, Ipsen, Niels, Franks, Paul W., Ramos, Rafael, Holl, Reinhard W., Horban, Scott, Duarte-Salles, Talita, Tran, Van Du T., Raverdy, Violeta, Leal, Yenny, Lenart, Adam, Pearson, Ewan, Sparso, Thomas, Giordano, Giuseppe N., Ioannidis, Vassilios, Soh, Keng, Frayling, Timothy M., Le Roux, Carel W., and Ibberson, Mark

Abstract

Obesity is considered by many as a lifestyle choice rather than a chronic progressive disease. The Innovative Medicines Initiative (IMI) SOPHIA (Stratification of Obesity Phenotypes to Optimize Future Obesity Therapy) project is part of a momentum shift aiming to provide better tools for the stratification of people with obesity according to disease risk and treatment response. One of the challenges to achieving these goals is that many clinical cohorts are siloed, limiting the potential of combined data for biomarker discovery. In SOPHIA, we have addressed this challenge by setting up a federated database building on open-source DataSHIELD technology. The database currently federates 16 cohorts that are accessible via a central gateway. The database is multi-modal, including research studies, clinical trials, and routine health data, and is accessed using the R statistical programming environment where statistical and machine learning analyses can be performed at a distance without any disclosure of patient-level data. We demonstrate the use of the database by providing a proof-of-concept analysis, performing a federated linear model of BMI and systolic blood pressure, pooling all data from 16 studies virtually without any analyst seeing individual patient-level data. This analysis provided similar point estimates compared to a meta-analysis of the 16 individual studies. Our approach provides a benchmark for reproducible, safe federated analyses across multiple study types provided by multiple stakeholders.

Published
2024

48. Phenotype prediction using biologically interpretable neural networks on multi-cohort multi-omics data.

Author

van Hilten, Arno, van Rooij, Jeroen, Heijmans, Bastiaan T., 't Hoen, Peter A. C., Meurs, Joyce van, Jansen, Rick, Franke, Lude, Boomsma, Dorret I., Pool, René, van Dongen, Jenny, Hottenga, Jouke J., van Greevenbroek, Marleen M. J., Stehouwer, Coen D. A., van der Kallen, Carla J. H., Schalkwijk, Casper G., Wijmenga, Cisca, Zhernakova, Sasha, Tigchelaar, Ettje F., Slagboom, P. Eline, and Beekman, Marian

Subjects
GENE expression, MULTIOMICS, PREDICTION models, NETWORK performance, INDIVIDUALIZED medicine
Abstract

Integrating multi-omics data into predictive models has the potential to enhance accuracy, which is essential for precision medicine. In this study, we developed interpretable predictive models for multi-omics data by employing neural networks informed by prior biological knowledge, referred to as visible networks. These neural networks offer insights into the decision-making process and can unveil novel perspectives on the underlying biological mechanisms associated with traits and complex diseases. We tested the performance, interpretability and generalizability for inferring smoking status, subject age and LDL levels using genome-wide RNA expression and CpG methylation data from the blood of the BIOS consortium (four population cohorts, Ntotal = 2940). In a cohort-wise cross-validation setting, the consistency of the diagnostic performance and interpretation was assessed. Performance was consistently high for predicting smoking status with an overall mean AUC of 0.95 (95% CI: 0.90–1.00) and interpretation revealed the involvement of well-replicated genes such as AHRR, GPR15 and LRRN3. LDL-level predictions were only generalized in a single cohort with an R2 of 0.07 (95% CI: 0.05–0.08). Age was inferred with a mean error of 5.16 (95% CI: 3.97–6.35) years with the genes COL11A2, AFAP1, OTUD7A, PTPRN2, ADARB2 and CD34 consistently predictive. For both regression tasks, we found that using multi-omics networks improved performance, stability and generalizability compared to interpretable single omic networks. We believe that visible neural networks have great potential for multi-omics analysis; they combine multi-omic data elegantly, are interpretable, and generalize well to data from different cohorts. [ABSTRACT FROM AUTHOR]

Published
2024
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49. Metabolomics Profile in Depression: A Pooled Analysis of 230 Metabolic Markers in 5283 Cases With Depression and 10,145 Controls

Author

Beekman, M., Suchiman, H.E.D., Deelen, J., Amin, N., Beulens, J.W., van der Bom, J.A., Bomer, N., Demirkan, A., van Hilten, J.A., Meessen, J.M.T.A., Pool, R., Moed, M.H., Fu, J., Onderwater, G.L.J., Rutters, F., So-Osman, C., van der Flier, W.M., van der Heijden, A.A.W.A., van der Spek, A., Asselbergs, F.W., Boersma, E., Elders, P.M., Geleijnse, J.M., Ikram, M.A., Kloppenburg, M., Meulenbelt, I., Mooijaart, S.P., Nelissen, R.G.H.H., Netea, M.G., Penninx, B.W.J.H., Stehouwer, C.D.A., Teunissen, C.E., Terwindt, G.M., ’t Hart, L.M., van den Maagdenberg, A.M.J.M., van der Harst, P., van der Horst, I.C.C., van der Kallen, C.J.H., van Greevenbroek, M.M.J., van Spil, W.E., Wijmenga, C., Zwinderman, A.H., Zhernikova, A., Jukema, J.W., Sattar, N., Bot, Mariska, Milaneschi, Yuri, Al-Shehri, Tahani, Amin, Najaf, Garmaeva, Sanzhima, Onderwater, Gerrit L.J., Pool, Rene, Thesing, Carisha S., Vijfhuizen, Lisanne S., Vogelzangs, Nicole, Arts, Ilja C.W., Demirkan, Ayse, van Duijn, Cornelia, van Greevenbroek, Marleen, van der Kallen, Carla J.H., Köhler, Sebastian, Ligthart, Lannie, van den Maagdenberg, Arn M.J.M., Mook-Kanamori, Dennis O., de Mutsert, Renée, Tiemeier, Henning, Schram, Miranda T., Stehouwer, Coen D.A., Terwindt, Gisela M., Willems van Dijk, Ko, Fu, Jingyuan, Zhernakova, Alexandra, Beekman, Marian, Slagboom, P. Eline, Boomsma, Dorret I., and Penninx, Brenda W.J.H.

Published
2020
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