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Usage Information

TAK1 regulates skeletal muscle mass and mitochondrial function
Sajedah M. Hindi, Shuichi Sato, Guangyan Xiong, Kyle R. Bohnert, Andrew A. Gibb, Yann S. Gallot, Joseph D. McMillan, Bradford G. Hill, Shizuka Uchida, Ashok Kumar
Sajedah M. Hindi, Shuichi Sato, Guangyan Xiong, Kyle R. Bohnert, Andrew A. Gibb, Yann S. Gallot, Joseph D. McMillan, Bradford G. Hill, Shizuka Uchida, Ashok Kumar
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Research Article Metabolism Muscle biology

TAK1 regulates skeletal muscle mass and mitochondrial function

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Abstract

Skeletal muscle mass is regulated by a complex array of signaling pathways. TGF-β–activated kinase 1 (TAK1) is an important signaling protein, which regulates context-dependent activation of multiple intracellular pathways. However, the role of TAK1 in the regulation of skeletal muscle mass remains unknown. Here, we report that inducible inactivation of TAK1 causes severe muscle wasting, leading to kyphosis, in both young and adult mice.. Inactivation of TAK1 inhibits protein synthesis and induces proteolysis, potentially through upregulating the activity of the ubiquitin-proteasome system and autophagy. Phosphorylation and enzymatic activity of AMPK are increased, whereas levels of phosphorylated mTOR and p38 MAPK are diminished upon inducible inactivation of TAK1 in skeletal muscle. In addition, targeted inactivation of TAK1 leads to the accumulation of dysfunctional mitochondria and oxidative stress in skeletal muscle of adult mice. Inhibition of TAK1 does not attenuate denervation-induced muscle wasting in adult mice. Finally, TAK1 activity is highly upregulated during overload-induced skeletal muscle growth, and inactivation of TAK1 prevents myofiber hypertrophy in response to functional overload. Overall, our study demonstrates that TAK1 is a key regulator of skeletal muscle mass and oxidative metabolism.

Authors

Sajedah M. Hindi, Shuichi Sato, Guangyan Xiong, Kyle R. Bohnert, Andrew A. Gibb, Yann S. Gallot, Joseph D. McMillan, Bradford G. Hill, Shizuka Uchida, Ashok Kumar

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Usage data is cumulative from April 2025 through April 2026.

Usage JCI PMC
Text version 1,485 160
PDF 361 57
Figure 575 2
Supplemental data 57 18
Citation downloads 112 0
Totals 2,590 237
Total Views 2,827
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Usage information is collected from two different sources: this site (JCI) and Pubmed Central (PMC). JCI information (compiled daily) shows human readership based on methods we employ to screen out robotic usage. PMC information (aggregated monthly) is also similarly screened of robotic usage.

Various methods are used to distinguish robotic usage. For example, Google automatically scans articles to add to its search index and identifies itself as robotic; other services might not clearly identify themselves as robotic, or they are new or unknown as robotic. Because this activity can be misinterpreted as human readership, data may be re-processed periodically to reflect an improved understanding of robotic activity. Because of these factors, readers should consider usage information illustrative but subject to change.

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