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Conserved multi-tissue transcriptomic adaptations to exercise training in humans and mice.

Authors :
Moore TM
Lee S
Olsen T
Morselli M
Strumwasser AR
Lin AJ
Zhou Z
Abrishami A
Garcia SM
Bribiesca J
Cory K
Whitney K
Ho T
Ho T
Lee JL
Rucker DH
Nguyen CQA
Anand ATS
Yackly A
Mendoza LQ
Leyva BK
Aliman C
Artiga DJ
Meng Y
Charugundla S
Pan C
Jedian V
Seldin MM
Ahn IS
Diamante G
Blencowe M
Yang X
Mouisel E
Pellegrini M
Turcotte LP
Birkeland KI
Norheim F
Drevon CA
Lusis AJ
Hevener AL
Source :
Cell reports [Cell Rep] 2023 May 30; Vol. 42 (5), pp. 112499. Date of Electronic Publication: 2023 May 12.
Publication Year :
2023

Abstract

Physical activity is associated with beneficial adaptations in human and rodent metabolism. We studied over 50 complex traits before and after exercise intervention in middle-aged men and a panel of 100 diverse strains of female mice. Candidate gene analyses in three brain regions, muscle, liver, heart, and adipose tissue of mice indicate genetic drivers of clinically relevant traits, including volitional exercise volume, muscle metabolism, adiposity, and hepatic lipids. Although ∼33% of genes differentially expressed in skeletal muscle following the exercise intervention are similar in mice and humans independent of BMI, responsiveness of adipose tissue to exercise-stimulated weight loss appears controlled by species and underlying genotype. We leveraged genetic diversity to generate prediction models of metabolic trait responsiveness to volitional activity offering a framework for advancing personalized exercise prescription. The human and mouse data are publicly available via a user-friendly Web-based application to enhance data mining and hypothesis development.<br />Competing Interests: Declaration of interests The authors declare no competing interests.<br /> (Copyright © 2023 The Authors. Published by Elsevier Inc. All rights reserved.)

Details

Language :
English
ISSN :
2211-1247
Volume :
42
Issue :
5
Database :
MEDLINE
Journal :
Cell reports
Publication Type :
Academic Journal
Accession number :
37178122
Full Text :
https://doi.org/10.1016/j.celrep.2023.112499