Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Shauna D. O'Donovan"'
Autor:
Balázs Erdős, Shauna D. O’Donovan, Michiel E. Adriaens, Anouk Gijbels, Inez Trouwborst, Kelly M. Jardon, Gijs H. Goossens, Lydia A. Afman, Ellen E. Blaak, Natal A. W. van Riel, Ilja C. W. Arts
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-12 (2024)
Abstract Continuous glucose monitoring (CGM) is a promising, minimally invasive alternative to plasma glucose measurements for calibrating physiology-based mathematical models of insulin-regulated glucose metabolism, reducing the reliance on in-clini
Externí odkaz:
https://doaj.org/article/90f5b2ef888142dba762b135172e5e7c
Autor:
Shauna D. O’Donovan, Milena Rundle, E. Louise Thomas, Jimmy D. Bell, Gary Frost, Doris M. Jacobs, Anne Wanders, Ryan de Vries, Edwin C.M. Mariman, Marleen A. van Baak, Luc Sterkman, Max Nieuwdorp, Albert K. Groen, Ilja C.W. Arts, Natal A.W. van Riel, Lydia A. Afman
Publikováno v:
iScience, Vol 27, Iss 4, Pp 109362- (2024)
Summary: The manifestation of metabolic deteriorations that accompany overweight and obesity can differ greatly between individuals, giving rise to a highly heterogeneous population. This inter-individual variation can impede both the provision and a
Externí odkaz:
https://doaj.org/article/1afe869749f64bceae5d59aec0da226c
Autor:
Bart van Sloun, Gijs H. Goossens, Balázs Erdõs, Shauna D. O’Donovan, Cécile M. Singh-Povel, Jan M.W. Geurts, Natal A.W. van Riel, Ilja C.W. Arts
Publikováno v:
iScience, Vol 26, Iss 3, Pp 106218- (2023)
Summary: Current computational models of whole-body glucose homeostasis describe physiological processes by which insulin regulates circulating glucose concentrations. While these models perform well in response to oral glucose challenges, interactio
Externí odkaz:
https://doaj.org/article/15081f4035a64733ae4d95865ab884a1
Autor:
Shauna D. O’Donovan, Balázs Erdős, Doris M. Jacobs, Anne J. Wanders, E. Louise Thomas, Jimmy D. Bell, Milena Rundle, Gary Frost, Ilja C.W. Arts, Lydia A. Afman, Natal A.W. van Riel
Publikováno v:
iScience, Vol 25, Iss 11, Pp 105206- (2022)
Summary: Despite the pivotal role played by elevated circulating triglyceride levels in the pathophysiology of cardio-metabolic diseases many of the indices used to quantify metabolic health focus on deviations in glucose and insulin alone. We presen
Externí odkaz:
https://doaj.org/article/b81561b698174b2a98bed0f081ce987f
Publikováno v:
Physiological genomics, 52(10), 451-467
Physiological genomics 52 (2020) 10
Physiological genomics 52 (2020) 10
Little is known about gene regulation by fasting in human adipose tissue. Accordingly, the objective of this study was to investigate the effects of fasting on adipose tissue gene expression in humans. To that end, subcutaneous adipose tissue biopsie
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c858a1c4e508be447dee52ffd52ea4f2
https://doi.org/10.1152/physiolgenomics.00083.2020
https://doi.org/10.1152/physiolgenomics.00083.2020
Autor:
Bart van Sloun, Michiel E. Adriaens, Natal A. W. van Riel, Arne Astrup, Balázs Erdős, Shauna D O'Donovan, Ellen E. Blaak, Dominique Langin, Ilja C. W. Arts
Publikováno v:
PLoS Computational Biology, Vol 17, Iss 3, p e1008852 (2021)
PLoS Computational Biology, 17(3):e1008852. Public Library of Science
Erdős, B, van Sloun, B, Adriaens, M E, O'Donovan, S D, Langin, D, Astrup, A, Blaak, E E, Arts, I C W & van Riel, N A W 2021, ' Personalized computational model quantifies heterogeneity in postprandial responses to oral glucose challenge ', P L o S Computational Biology (Online), vol. 17, no. 3, e1008852 . https://doi.org/10.1371/journal.pcbi.1008852
PLoS Computational Biology, 17(3)
PLoS computational biology, 17(3):e1008852. Public Library of Science
PLoS Computational Biology
PLoS Computational Biology 17 (2021) 3
PLoS Computational Biology, 17(3):e1008852. Public Library of Science
Erdős, B, van Sloun, B, Adriaens, M E, O'Donovan, S D, Langin, D, Astrup, A, Blaak, E E, Arts, I C W & van Riel, N A W 2021, ' Personalized computational model quantifies heterogeneity in postprandial responses to oral glucose challenge ', P L o S Computational Biology (Online), vol. 17, no. 3, e1008852 . https://doi.org/10.1371/journal.pcbi.1008852
PLoS Computational Biology, 17(3)
PLoS computational biology, 17(3):e1008852. Public Library of Science
PLoS Computational Biology
PLoS Computational Biology 17 (2021) 3
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 tes
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::41085dcff7567ef59852fb675e79c617
https://doi.org/10.1371/journal.pcbi.1008852
https://doi.org/10.1371/journal.pcbi.1008852
Autor:
Gökhan Ertaylan, Ralf Peeters, Kurt Driessens, Alexander Lukas, Daniel Lopatta, Danyel Jennen, Shauna D O'Donovan, Jelmer Neeven, Theo M. de Kok, Natal A. W. van Riel, Evgueni Smirnov, Florian Wimmenauer, Michael Lenz, Rachel Cavill, Tobias Stumm
Publikováno v:
PLoS ONE, 15(8). Public Library of Science
PLOS ONE, 15(8):e0236392. Public Library of Science
PLoS ONE
PLoS ONE, 15(8):e0236392. Public Library of Science
PLoS ONE, 15(8)
PLoS ONE 15 (2020) 8
PLoS ONE, Vol 15, Iss 8, p e0236392 (2020)
PLOS ONE, 15(8):e0236392. Public Library of Science
PLoS ONE
PLoS ONE, 15(8):e0236392. Public Library of Science
PLoS ONE, 15(8)
PLoS ONE 15 (2020) 8
PLoS ONE, Vol 15, Iss 8, p e0236392 (2020)
In clinical trials, animal and cell line models are often used to evaluate the potential toxic effects of a novel compound or candidate drug before progressing to human trials. However, relating the results of animal and in vitro model exposures to r
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::eab28b049df1eb0bf4886171aacfd7cb
https://pure.amc.nl/en/publications/use-of-deep-learning-methods-to-translate-druginduced-gene-expression-changes-from-rat-to-human-primary-hepatocytes(73c11227-9451-40b5-a199-15f21993acf5).html
https://pure.amc.nl/en/publications/use-of-deep-learning-methods-to-translate-druginduced-gene-expression-changes-from-rat-to-human-primary-hepatocytes(73c11227-9451-40b5-a199-15f21993acf5).html
Autor:
Marleen A. van Baak, Shauna D O'Donovan, Ilja C. W. Arts, Nadia J. T. Roumans, Roel G. Vink, Natal A. W. van Riel, Edwin C. M. Mariman, Ralf Peeters, Michael Lenz, Theo M. de Kok
Publikováno v:
PLoS computational biology, 15(10). Public Library of Science
PLoS Computational Biology, 15(10)
PLoS Computational Biology, Vol 15, Iss 10, p e1007400 (2019)
PLoS Computational Biology 15 (2019) 10
PLoS Computational Biology, 15(10):e1007400. Public Library of Science
PLoS Computational Biology
PLoS Computational Biology, 15(10)
PLoS Computational Biology, Vol 15, Iss 10, p e1007400 (2019)
PLoS Computational Biology 15 (2019) 10
PLoS Computational Biology, 15(10):e1007400. Public Library of Science
PLoS Computational Biology
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://explore.openaire.eu/search/publication?articleId=doi_dedup___::538d76e204f37af8f0b2232efededa79
https://pure.amc.nl/en/publications/a-computational-model-of-postprandial-adipose-tissue-lipid-metabolism-derived-using-human-arteriovenous-stable-isotope-tracer-data(58f41f00-921f-4060-8ae8-1c6324e318c1).html
https://pure.amc.nl/en/publications/a-computational-model-of-postprandial-adipose-tissue-lipid-metabolism-derived-using-human-arteriovenous-stable-isotope-tracer-data(58f41f00-921f-4060-8ae8-1c6324e318c1).html
Autor:
Ellen E. Blaak, Theo M. de Kok, Natal A. W. van Riel, Michael Lenz, Gijs H. Goossens, Miranda T. Schram, Ilja C. W. Arts, Simone J. S. Sep, Coen D.A. Stehouwer, Ralf Peeters, Shauna D O'Donovan, Marleen M.J. van Greevenbroek, Carla J.H. van der Kallen, S. Eussen
Publikováno v:
Scientific Reports
Scientific Reports, Vol 9, Iss 1, Pp 1-10 (2019)
Scientific Reports, 9(1):9388. Nature Publishing Group
Scientific Reports, 9:9388. Nature Publishing Group
Scientific reports, 9(1). Nature Publishing Group
Scientific Reports, Vol 9, Iss 1, Pp 1-10 (2019)
Scientific Reports, 9(1):9388. Nature Publishing Group
Scientific Reports, 9:9388. Nature Publishing Group
Scientific reports, 9(1). Nature Publishing Group
The Muscle Insulin Sensitivity Index (MISI) has been developed to estimate muscle-specific insulin sensitivity based on oral glucose tolerance test (OGTT) data. To date, the score has been implemented with considerable variation in literature and ini
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1c179a87dcce05e8233312c1de26a05f
https://doi.org/10.1038/s41598-019-45858-w
https://doi.org/10.1038/s41598-019-45858-w
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