Evidence mapPaperPMID 41718082Full record

ReviewMuscles (Basel, Switzerland)2026

Cross-Platform Transcriptomic Analysis of 40 Human and Rodent Skeletal Muscle Exerkines.

Hash Brown Taha, Nathan Robbins, Firas-Shah Zoha, Shirley Zhu, Nandhana Vivek, Aleksander Bogoniewski

Abstract readReview
In one paragraph

Review in Muscles (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
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

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Hash Brown TahaSchool of Medicine, Washington University in St. Louis, St. Louis, MO 63110, USA.ORCID 0009-0007-3056-8878
Nathan RobbinsSchool of Medicine, University of California San Francisco, San Francisco, CA 94143, USA.
Firas-Shah ZohaSchool of Medicine, Washington University in St. Louis, St. Louis, MO 63110, USA.
Shirley ZhuDepartment of Biochemistry and Biomedical Sciences, McMaster University, Hamilton, ON L8S 4L8, Canada.
Nandhana VivekDepartment of Integrative Physiology, University of Colorado Boulder, Boulder, CO 80309, USA.ORCID 0009-0005-4695-9545
Aleksander BogoniewskiDepartment of Medical and Molecular Pharmacology, University of California Los Angeles, Los Angeles, CA 90095, USA.ORCID 0000-0002-7887-2488

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Animal and human studies show that exercise induces organism-wide molecular adaptations that are partly mediated by exerkines which are secreted factors that enable inter-organ communication between tissues such as skeletal muscle, adipose tissue, liver and the brain. However, the tissue-specific responsiveness of individual exerkines and how these responses differ across species, exercise conditions and sexes remain poorly understood. To address this gap, we systematically analyzed skeletal muscle transcriptomic responses of 40 exerkines using three publicly available datasets including MetaMEx, Extrameta and the MoTrPAC 6-month-old rat training dataset. We reviewed exerkine-specific regulation in humans, mice and rats across acute and chronic exercise and inactivity. We determined conserved, non-conserved, and discordant exerkines across species and whether they were dependent on exercise modality or sex. Our review reveals substantial heterogeneity in skeletal muscle transcriptomic exerkine regulation with only a small subset showing conserved changes across species. Additionally, a key limitation is that our analysis was limited to transcriptomic data and may not reflect protein-level abundance, secretion, or uptake by recipient tissues. Therefore, we highlight a need for multi species and multi condition approaches when selecting exerkines as biomarkers or surrogate therapeutic targets.

Indexed as

exerciseexerkinesmeta-analysisskeletal muscletranscriptomics

Identifiers

PMID41718082
PMCPMC12921843

What Socratic holds

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Registered trials

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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.