Evidence map›Paper›PMID 40870024›Full record

ArticleGenes2025

Identification of Key Genes and Pathways Associated with Frailty and Exercise Effects Using a Network and Evolutionary Approach.

Kyoko Naito, Hiromichi Akahori, Yoshinori Muto, Tomoyoshi Terada

Abstract read
In one paragraph

Article in Genes, 2025. 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
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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

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

4 authors.

Kyoko NaitoUnited Graduate School of Drug Discovery and Medical Information Sciences, Gifu University, 1-1 Yanagido, Gifu 501-1194, Japan.
Hiromichi AkahoriDepartment of Functional Bioscience, Gifu University School of Medicine, 1-1 Yanagido, Gifu 501-1193, Japan.
Yoshinori MutoInstitute for Glyco-core Research (iGCORE), Gifu University, 1-1 Yanagido, Gifu 501-1193, Japan.
Tomoyoshi TeradaUnited Graduate School of Drug Discovery and Medical Information Sciences, Gifu University, 1-1 Yanagido, Gifu 501-1194, Japan.

Funding

Japan Society for the Promotion of Science JP21K07747
6 · The paper itself

Abstract

backgroundFrailty is an aging-associated syndrome involving a loss of physiological reserve and function, with decreased ability to recover from physical and psychosocial stress. However, the etiology and pathogenesis of frailty remain largely unknown.

aimThis study aimed to investigate key genes involved in frailty pathogenesis, exercise effects, and their contributions.

methodsWe performed a weighted gene co-expression network analysis using a microarray dataset. By using the positive selection (PS), human accelerated region (HAR), and aging gene sets, we identified key genes for frailty and exercise-related genes.

resultsWe identified magenta and pink modules that have the most significant enrichments for the evolutionally elaborated genes. A functional enrichment analysis (FEA) revealed that genes related to redox-process regulation and extracellular-matrix organization were enriched in magenta and pink modules, respectively. We observed that six of the evolutionarily imprinted genes in the modules (

conclusionsFurther investigation into the functions of the identified modules and their member genes could aid in identifying diagnostic biomarkers and therapeutic targets for frailty.

Indexed as

AgingExerciseFrailtyGene Regulatory NetworksEvolution, MolecularHumansaging genesevolutionary analysisexercisefrailtyhuman accelerated regionpathway analysispositive selection

Identifiers

PMID40870024
PMCPMC12385899

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.