Time trajectories in the transcriptomic response to exercise - a meta-analysis.
Time trajectories in the transcriptomic response to exercise - a meta-analysis.
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DOI：
10.1038/s41467-021-23579-x
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发表时间：
2021-06-09
影响因子：
16.6
通讯作者：
Ashley EA
中科院分区：
文献类型：
--
作者：
Amar D;Lindholm ME;Norrbom J;Wheeler MT;Rivas MA;Ashley EA
Exercise training prevents multiple diseases, yet the molecular mechanisms that drive exercise adaptation are incompletely understood. To address this, we create a computational framework comprising data from skeletal muscle or blood from 43 studies, including 739 individuals before and after exercise or training. Using linear mixed effects meta-regression, we detect specific time patterns and regulatory modulators of the exercise response. Acute and long-term responses are transcriptionally distinct and we identify SMAD3 as a central regulator of the exercise response. Exercise induces a more pronounced inflammatory response in skeletal muscle of older individuals and our models reveal multiple sex-associated responses. We validate seven of our top genes in a separate human cohort. In this work, we provide a powerful resource (www.extrameta.org) that expands the transcriptional landscape of exercise adaptation by extending previously known responses and their regulatory networks, and identifying novel modality-, time-, age-, and sex-associated changes. Regular exercise promotes overall health and prevents non-communicable diseases, but the adaptation mechanisms are unclear. Here, the authors perform a meta-analysis to reveal time-specific patterns of the acute and long-term exercise response in human skeletal muscle, and identify sex- and age-specific changes.
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影响因子：
5.4
作者：
Cornelissen VA;Smart NA
通讯作者：
Smart NA
影响因子：
7
作者：
Harrow J;Frankish A;Gonzalez JM;Tapanari E;Diekhans M;Kokocinski F;Aken BL;Barrell D;Zadissa A;Searle S;Barnes I;Bignell A;Boychenko V;Hunt T;Kay M;Mukherjee G;Rajan J;Despacio-Reyes G;Saunders G;Steward C;Harte R;Lin M;Howald C;Tanzer A;Derrien T;Chrast J;Walters N;Balasubramanian S;Pei B;Tress M;Rodriguez JM;Ezkurdia I;van Baren J;Brent M;Haussler D;Kellis M;Valencia A;Reymond A;Gerstein M;Guigó R;Hubbard TJ
通讯作者：
Hubbard TJ
影响因子：
3.7
作者：
Hempel, Susanne;Miles, Jeremy N. V.;Shekelle, Paul G.
通讯作者：
Shekelle, Paul G.
影响因子：
3.4
作者：
Gillies, Allison R.;Lieber, Richard L.
通讯作者：
Lieber, Richard L.
影响因子：
5.3
作者：
Chung, Shih Ying;Kao, Chien Han;Chen, Shen Liang
通讯作者：
Chen, Shen Liang