Article (Scientific journals)
A dynamic multi-tissue model to study human metabolism.
Martins Conde, Patricia; Pfau, Thomas; Pires Pacheco, Maria Irene et al.
2021In NPJ Systems Biology and Applications, 7 (1), p. 5
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Abstract :
[en] Metabolic modeling enables the study of human metabolism in healthy and in diseased conditions, e.g., the prediction of new drug targets and biomarkers for metabolic diseases. To accurately describe blood and urine metabolite dynamics, the integration of multiple metabolically active tissues is necessary. We developed a dynamic multi-tissue model, which recapitulates key properties of human metabolism at the molecular and physiological level based on the integration of transcriptomics data. It enables the simulation of the dynamics of intra-cellular and extra-cellular metabolites at the genome scale. The predictive capacity of the model is shown through the accurate simulation of different healthy conditions (i.e., during fasting, while consuming meals or during exercise), and the prediction of biomarkers for a set of Inborn Errors of Metabolism with a precision of 83%. This novel approach is useful to prioritize new biomarkers for many metabolic diseases, as well as for the integration of various types of personal omics data, towards the personalized analysis of blood and urine metabolites.
Disciplines :
Life sciences: Multidisciplinary, general & others
Author, co-author :
Martins Conde, Patricia ;  University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Life Science Research Unit
Pfau, Thomas
Pires Pacheco, Maria Irene ;  University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Life Sciences and Medicine (DLSM)
Sauter, Thomas ;  University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Life Sciences and Medicine (DLSM)
External co-authors :
no
Language :
English
Title :
A dynamic multi-tissue model to study human metabolism.
Publication date :
2021
Journal title :
NPJ Systems Biology and Applications
ISSN :
2056-7189
Publisher :
Springer Nature
Volume :
7
Issue :
1
Pages :
5
Peer reviewed :
Peer Reviewed verified by ORBi
Focus Area :
Systems Biomedicine
Available on ORBilu :
since 02 February 2021

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