In:
International Journal of Molecular Sciences, MDPI AG, Vol. 22, No. 19 ( 2021-09-26), p. 10353-
Abstract:
Skeletal muscle is the principal contributor to exercise-induced changes in human metabolism. Strikingly, although it has been demonstrated that a lot of metabolites accumulating in blood and human skeletal muscle during an exercise activate different signaling pathways and induce the expression of many genes in working muscle fibres, the systematic understanding of signaling–metabolic pathway interrelations with downstream genetic regulation in the skeletal muscle is still elusive. Herein, a physiologically based computational model of skeletal muscle comprising energy metabolism, Ca2+, and AMPK (AMP-dependent protein kinase) signaling pathways and the expression regulation of genes with early and delayed responses was developed based on a modular modeling approach and included 171 differential equations and more than 640 parameters. The integrated modular model validated on diverse including original experimental data and different exercise modes provides a comprehensive in silico platform in order to decipher and track cause–effect relationships between metabolic, signaling, and gene expression levels in skeletal muscle.
Type of Medium:
Online Resource
ISSN:
1422-0067
DOI:
10.3390/ijms221910353
Language:
English
Publisher:
MDPI AG
Publication Date:
2021
detail.hit.zdb_id:
2019364-6
SSG:
12