A modular mathematical model of exercise-induced changes in metabolism, signaling, and gene expression in human skeletal muscle

Ilya R. Akberdin, Ilya N. Kiselev, Sergey S. Pintus, Ruslan N. Sharipov, Alexander Yu Vertyshev, Olga L. Vinogradova, Daniil V. Popov, Fedor A. Kolpakov

Результат исследования: Научные публикации в периодических изданияхстатьярецензирование

Аннотация

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.

Язык оригиналаанглийский
Номер статьи10353
ЖурналInternational Journal of Molecular Sciences
Том22
Номер выпуска19
DOI
СостояниеОпубликовано - 1 окт 2021

Предметные области OECD FOS+WOS

  • 1.02 КОМПЬЮТЕРНЫЕ И ИНФОРМАЦИОННЫЕ НАУКИ
  • 2.04 ХИМИЧЕСКИЕ ТЕХНОЛОГИИ
  • 1.04 ХИМИЧЕСКИЕ НАУКИ
  • 1.06 БИОЛОГИЧЕСКИЕ НАУКИ

Fingerprint

Подробные сведения о темах исследования «A modular mathematical model of exercise-induced changes in metabolism, signaling, and gene expression in human skeletal muscle». Вместе они формируют уникальный семантический отпечаток (fingerprint).

Цитировать