Evidence mapPaperPMID 42124656Full record

ArticlebioRxiv : the preprint server for biology2026

TAK1 regulates skeletal muscle mass, hypertrophic signaling, and metabolic homeostasis in male and female mice.

Meiricris Tomaz da Silva, Aniket S Joshi, Anirban Roy, Troy A Hornberger, Ashok Kumar

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In one paragraph

Article in bioRxiv : the preprint server for biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Meiricris Tomaz da SilvaInstitute of Muscle Biology and Cachexia, University of Houston, Houston, TX 77204.ORCID 0000-0002-7479-2595
Aniket S JoshiInstitute of Muscle Biology and Cachexia, University of Houston, Houston, TX 77204.ORCID 0000-0003-1595-5945
Anirban RoyInstitute of Muscle Biology and Cachexia, University of Houston, Houston, TX 77204.
Troy A HornbergerDepartment of Comparative Biosciences, University of Wisconsin-Madison, Madison, WI, USA.ORCID 0000-0002-2349-1899
Ashok KumarInstitute of Muscle Biology and Cachexia, University of Houston, Houston, TX 77204.ORCID 0000-0001-8571-2848

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Skeletal muscle is the most abundant tissue in the human body and is essential for locomotion and the regulation of whole-body metabolism. The maintenance of skeletal muscle mass is essential for health, yet the molecular and signaling mechanisms that control skeletal muscle mass remain poorly understood. Transforming growth factor-β-activated kinase 1 (TAK1) is a key signaling protein that regulates multiple intracellular pathways. Recent studies have demonstrated that TAK1 is a critical regulator of skeletal muscle mass. However, the mechanisms by which TAK1 regulates muscle mass and whether its role is sex dependent remain incompletely understood. In this study, we show that targeted inactivation of TAK1 induces muscle atrophy more rapidly in male than in female mice. Loss of TAK1 activity also abolished mechanical overload-induced phosphorylation of p70S6K and rpS6, and the induction of myofiber hypertrophy in both sexes. RNA-Seq analysis further revealed that TAK1 inactivation in skeletal muscle disrupts the gene expression of various molecules involved in catabolic processes, calcium signaling, muscle structure development, and aerobic respiration. Moreover, TAK1 inactivation impairs fatty acid oxidation and promotes lipid accumulation in skeletal muscle of adult mice in a sex-independent manner. Collectively, our findings demonstrate that TAK1 regulates skeletal muscle mass and growth by coordinating distinct intracellular pathways in both male and female mice.

Indexed as

hypertrophyoxidative phosphorylationsignalingSkeletal muscle growthunfolded protein response

Identifiers

PMID42124656
PMCPMC13160103

What Socratic holds

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LicenceCC BY-NC
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.