Zobrazeno 1 - 10 of 126 pro vyhledávání: '"Ilja C W Arts"'
1
Akademický článek
Analysis of high-dimensional metabolomics data with complex temporal dynamics using RM-ASCA.
Autor: Balázs Erdős, Johan A Westerhuis, Michiel E Adriaens, Shauna D O'Donovan, Ren Xie, Cécile M Singh-Povel, Age K Smilde, Ilja C W Arts
Publikováno v: PLoS Computational Biology, Vol 19, Iss 6, p e1011221 (2023)
The intricate dependency structure of biological "omics" data, particularly those originating from longitudinal intervention studies with frequently sampled repeated measurements renders the analysis of such data challenging. The high-dimensionality,
Externí odkaz: https://doaj.org/article/d897f0cf2c064a13967a005048946454
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2
Akademický článek
Comparison of metabolic states using genome-scale metabolic models.
Autor: Chaitra Sarathy, Marian Breuer, Martina Kutmon, Michiel E Adriaens, Chris T Evelo, Ilja C W Arts
Publikováno v: PLoS Computational Biology, Vol 17, Iss 11, p e1009522 (2021)
Genome-scale metabolic models (GEMs) are comprehensive knowledge bases of cellular metabolism and serve as mathematical tools for studying biological phenotypes and metabolic states or conditions in various organisms and cell types. Given the sheer s
Externí odkaz: https://doaj.org/article/a7c451aa0d954083a97ba7020341a4e8
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3
Akademický článek
Personalized computational model quantifies heterogeneity in postprandial responses to oral glucose challenge.
Autor: Balázs Erdős, Bart van Sloun, Michiel E Adriaens, Shauna D O'Donovan, Dominique Langin, Arne Astrup, Ellen E Blaak, Ilja C W Arts, Natal A W van Riel
Publikováno v: PLoS Computational Biology, Vol 17, Iss 3, p e1008852 (2021)
Plasma glucose and insulin responses following an oral glucose challenge are representative of glucose tolerance and insulin resistance, key indicators of type 2 diabetes mellitus pathophysiology. A large heterogeneity in individuals' challenge test
Externí odkaz: https://doaj.org/article/85352599a5ff40cbafd7a1b72f6e5ee7
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4
Akademický článek
A computational model of postprandial adipose tissue lipid metabolism derived using human arteriovenous stable isotope tracer data.
Autor: Shauna D O'Donovan, Michael Lenz, Roel G Vink, Nadia J T Roumans, Theo M C M de Kok, Edwin C M Mariman, Ralf L M Peeters, Natal A W van Riel, Marleen A van Baak, Ilja C W Arts
Publikováno v: PLoS Computational Biology, Vol 15, Iss 10, p e1007400 (2019)
Given the association of disturbances in non-esterified fatty acid (NEFA) metabolism with the development of Type 2 Diabetes and Non-Alcoholic Fatty Liver Disease, computational models of glucose-insulin dynamics have been extended to account for the
Externí odkaz: https://doaj.org/article/410efcecc5b248518df708c5720dcd97
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5
Akademický článek
Impact of early events and lifestyle on the gut microbiota and metabolic phenotypes in young school-age children
Autor: Huanzi Zhong, John Penders, Zhun Shi, Huahui Ren, Kaiye Cai, Chao Fang, Qiuxia Ding, Carel Thijs, Ellen E. Blaak, Coen D. A. Stehouwer, Xun Xu, Huanming Yang, Jian Wang, Jun Wang, Daisy M. A. E. Jonkers, Ad A. M. Masclee, Susanne Brix, Junhua Li, Ilja C. W. Arts, Karsten Kristiansen
Publikováno v: Microbiome, Vol 7, Iss 1, Pp 1-14 (2019)
Abstract Background The gut microbiota evolves from birth and is in early life influenced by events such as birth mode, type of infant feeding, and maternal and infant antibiotics use. However, we still have a gap in our understanding of gut microbio
Externí odkaz: https://doaj.org/article/f492f94de1154965a9d6058c5e273a2b
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6
Akademický článek
Exploring the cellular network of metabolic flexibility in the adipose tissue
Autor: Samar H. K. Tareen, Martina Kutmon, Michiel E. Adriaens, Edwin C. M. Mariman, Theo M. de Kok, Ilja C. W. Arts, Chris T. Evelo
Publikováno v: Genes & Nutrition, Vol 13, Iss 1, Pp 1-8 (2018)
Abstract Background Metabolic flexibility is the ability of cells to change substrates for energy production based on the nutrient availability and energy requirement. It has been shown that metabolic flexibility is impaired in obesity and chronic di
Externí odkaz: https://doaj.org/article/d202f9faee624e4f94f3b2c7e326b82c
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7
Longitudinal associations of plasma metabolites with persistent fatigue among colorectal cancer survivors up to 2 years after treatment
Autor: Eline H. van Roekel, Martijn J. L. Bours, Stéphanie O. Breukink, Michèl Aquarius, Eric T. P. Keulen, Audrey Gicquiau, Sabina Rinaldi, Paolo Vineis, Ilja C. W. Arts, Marc J. Gunter, Michael F. Leitzmann, Augustin Scalbert, Matty P. Weijenberg
Publikováno v: International Journal of Cancer, 152(2), 214-226. Wiley
The underlying biological mechanisms causing persistent fatigue complaints after colorectal cancer treatment need further investigation. We investigated longitudinal associations of circulating concentrations of 138 metabolites with total fatigue and
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fe7f78d3a7fedcffbecb867313d563b0
https://cris.maastrichtuniversity.nl/en/publications/25ed73b2-82a2-4aed-a7b3-8883f0cc1122
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8
Metabolic profiling of tissue-specific insulin resistance in human obesity
Autor: Johan W. E. Jocken, Nicolaas C. Schaper, Birgitta W. van der Kolk, Ilja C. W. Arts, Ronald M.A. Henry, Wim H. M. Saris, Ellen E. Blaak, Gijs H. Goossens, Carla J.H. van der Kallen, Nicole Vogelzangs, Arne Astrup, Armand Valsesia, Thomas Hankemeier, Marleen M.J. van Greevenbroek, Coen D.A. Stehouwer, Simone J. P. M. Eussen
Publikováno v: International Journal of Obesity, 44, 1376-1386. NATURE PUBLISHING GROUP
International Journal of Obesity, 44(6), 1376-1386. Nature Publishing Group
Background: Recent evidence indicates that insulin resistance (IR) in obesity may develop independently in different organs, representing different etiologies toward type 2 diabetes and other cardiometabolic diseases. The aim of this study was to inv
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7085ebf27d32361a6137b7d2d9a61044
https://doi.org/10.1038/s41366-020-0565-z
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10
Comparison of metabolic states using genome-scale metabolic models
Autor: Chris T. Evelo, Michiel E. Adriaens, Martina Kutmon, Ilja C. W. Arts, Chaitra Sarathy, Marian Breuer
Publikováno v: PLoS Computational Biology, Vol 17, Iss 11 (2021)
PLoS Computational Biology, 17(11):e1009522. Public Library of Science
PLoS Computational Biology
PLoS Computational Biology, Vol 17, Iss 11, p e1009522 (2021)
Genome-scale metabolic models (GEMs) are comprehensive knowledge bases of cellular metabolism and serve as mathematical tools for studying biological phenotypes and metabolic states or conditions in various organisms and cell types. Given the sheer s
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e40d4fb6d1b39673c30cc28542bf0706
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8601616/?tool=EBI
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