Evidence map›Paper›PMID 42033849›Full record

ArticleRedox biology2026

Multi-omics reveals molecular signatures of moderate intensity exercise and identifies candidate exercise mimetics in mice.

Hanlin Jiang, Shota Inoue, Junpei Hatakeyama, Hideki Moriyama

Abstract read
In one paragraph

Article in Redox 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.

0numbers the graph read from it
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0citing papers in PubMed
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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

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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

4 authors.

Hanlin JiangDepartment of Rehabilitation Science, Graduate School of Health Sciences, Kobe University, Kobe, Japan.
Shota InoueDepartment of Rehabilitation Science, Graduate School of Health Sciences, Kobe University, Kobe, Japan.
Junpei HatakeyamaDepartment of Rehabilitation Science, Graduate School of Health Sciences, Kobe University, Kobe, Japan.
Hideki MoriyamaLife and Medical Sciences Area, Health Sciences Discipline, Kobe University, Kobe, Japan. Electronic address: morihide@harbor.kobe-u.ac.jp.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Exercise is known to promote systemic health and prevent various chronic diseases. However, the molecular mechanisms underlying its beneficial effects remain incompletely understood. Although the health benefits of exercise have been widely studied, most research has treated exercise as a general intervention, without clearly standardizing its intensity. This study focused on a physiologically and molecularly defined moderate intensity, which may uniquely capture the core health-promoting mechanisms of exercise. To characterize the molecularly defined moderate intensity exercise, integrative multi-omics analyses-including transcriptomics, epigenomics, and phosphoproteomics-were performed using skeletal muscle tissue. These analyses revealed that this specifically defined exercise consistently modulated shared molecular pathways across both exercise modalities, especially insulin signaling, FoxO signaling, and circadian rhythm regulation. To explore the translational relevance of the identified molecular signatures, Connectivity Map analysis was used to search for compounds with similar transcriptional profiles. As a secondary outcome, apigenin and doxazosin were found to mimic exercise-associated molecular responses partially. These compounds exerted distinct physiological effects in vivo, including enhanced mitochondrial function and endurance and muscle hypertrophy with musculoskeletal protection. In conclusion, this study primarily elucidates the systemic molecular basis of physiologically and molecularly defined moderate-intensity exercise. The identification of candidate exercise mimetics serves as a potential application of these findings.

Indexed as

Physical Conditioning, AnimalAnimalsGene Expression ProfilingMaleMiceMultiomicsMuscle, SkeletalProteomicsSignal TransductionTranscriptomeapigenindoxazosinexerciseMethylomePhosphoproteomeskeletal muscleTranscriptome

Identifiers

PMID42033849
PMCPMC13112403

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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 OpenQuestion graph.