Evidence mapPaperPMID 40748585Full record

ReviewCell biochemistry and biophysics2025

Deciphering the miRNA-mRNA Interaction Network Regulating Aging Skeletal Muscle in Various Exercise Regimens through Comprehensive Bioinformatics Analysis.

Zhi Yu, Pin-Shi Ni, Zhuang-Zhi Wang, Zheng-Yang Zhao, Bao-Yi Chen, Zhen-En Zhang, Fang-Hui Li

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In one paragraph

Review in Cell biochemistry and biophysics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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

7 authors.

Zhi YuNanjing Normal University, Nanjing, Jiangsu, China.
Pin-Shi NiNanjing Normal University, Nanjing, Jiangsu, China.
Zhuang-Zhi WangNanjing Normal University, Nanjing, Jiangsu, China.
Zheng-Yang ZhaoNanjing Normal University, Nanjing, Jiangsu, China.
Bao-Yi ChenQixia Sports Hospital, Nanjing Normal University, Nanjing, Jiangsu, China.
Zhen-En ZhangJianhu People's Hospital, Yancheng, Jiangsu, China. 254199582@qq.com.
Fang-Hui LiNanjing Normal University, Nanjing, Jiangsu, China. 12356@njnu.edu.cn.

Funding

Jiangsu Social Science Foundation (Key) 21WTA001National Natural Science Foundation of China 32371180
6 · The paper itself

Abstract

Understanding the impact of different exercise types on skeletal muscle atrophy in older adults is crucial for designing effective strategies to combat age-related muscle loss. This study explores the molecular mechanisms through which resistance exercise (RES) and endurance exercise (END) mitigate skeletal muscle atrophy. By examining microRNA (miRNA) expression profiles from aging skeletal muscle datasets (GSE165632) in the Gene Expression Omnibus (GEO) database, the research aims to uncover exercise-specific miRNA signatures and their associated regulatory pathways. Using the GEO2R analysis tool, researchers identified differentially expressed miRNAs (DEmiRNAs) between RES and END groups. Predicted target genes of these miRNAs were determined through a combination of miRTarBase, micro-T, and TargetScan databases. Functional enrichment analyses, including Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analyses, were performed via the DAVID database. Transcription factors were predicted using the ChEA3 database, while protein-protein interaction (PPI) networks were constructed with the STRING database to identify hub genes for further functional enrichment studies. The analysis revealed 30 differentially expressed miRNAs in the RES group and 21 in the END group. In the RES group, key pathways such as FoxO signaling, neurotrophic signaling, insulin resistance, and AMPK were regulated by miRNAs like hsa-miR-574-5p, hsa-miR-34a-5p, and hsa-miR-21-5p. These pathways promote protein synthesis and reduce myocyte apoptosis. In the END group, hub genes were linked to FoxO, TGF-β, MAPK, and cGMP-PKG signaling pathways, regulated by miRNAs such as hsa-miR-194-5p, hsa-miR-146a-5p, and hsa-miR-6831-5p, which enhance mitochondrial function and metabolic regulation. Both exercise types shared common regulatory pathways, including MAPK, TGF-β, and PI3K-Akt, which influence genes like SMAD4 and TRAF6 that are essential for myocyte survival and fibrosis suppression. This study sheds light on the unique and overlapping miRNA-driven regulatory mechanisms behind the effects of RES and END on skeletal muscle atrophy in older adults. Resistance exercise primarily boosts protein synthesis and inhibits apoptosis via pathways like AMPK and p53, while endurance exercise enhances mitochondrial function and energy metabolism through cGMP-PKG signaling. Both exercise modalities converge on critical pathways, providing a scientific basis for developing personalized exercise programs to counteract sarcopenia.

Indexed as

AgingComputational BiologyExerciseGene Regulatory NetworksMicroRNAsMuscle, SkeletalRNA, MessengerHumansProtein Interaction MapsResistance TrainingSignal TransductionMicroRNAsRNA, MessengerBioinformatics analysisEndurance exercise (END)miRNAResistance exercise (RES)Sarcopenia

Identifiers

What Socratic holds

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Registered trials

None linked

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.