ReviewCell biochemistry and biophysics2025
Deciphering the miRNA-mRNA Interaction Network Regulating Aging Skeletal Muscle in Various Exercise Regimens through Comprehensive Bioinformatics Analysis.
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.
What it found
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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.
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.
Who cites it
2 citing papers in PubMed.
- Comparative effects of aerobic exercise in early versus late middle age on skeletal muscle function and miRNA profiling in mice.Molecular biology reports · 2026Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
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
Identifiers
40748585What Socratic holds
Registered trials
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.