ArticleEXCLI journal2026
Computational analysis of hub genes associated with sarcopenia: integrative transcriptome insights from an Asian cohort.
Article in EXCLI journal, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
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
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Sarcopenia, a progressive loss of skeletal muscle mass and strength, leads to frailty, falls, fractures, and delayed recovery following orthopedic surgery. When combined with osteoporosis, it manifests as osteosarcopenia, exacerbating musculoskeletal fragility. Although chronic inflammation, mitochondrial dysfunction, and impaired autophagy are recognized contributors, the integrated regulation of these processes in Asian populations remains unclear. This study aimed to elucidate molecular mediators and signaling pathways connecting inflammation, autophagy, and muscle-bone degeneration using an integrated clinical-transcriptomic approach. Transcriptomic data (GSE226151) comprising vastus lateralis muscle samples from 20 sarcopenic patients and 20 age- and sex-matched healthy Asian controls were analyzed using ExDEGA, with differentially expressed genes (DEGs) defined by |log₂ fold change| ≥ 1 and FDR < 0.05. Functional enrichment via ShinyGO identified key Gene Ontology and KEGG pathways, while STRING-Cytoscape network analysis revealed four hub genes-ADAM8, BECN1, KLF4, and GBP5-with high connectivity (degree >10) enriched in cytokine-cytokine receptor interaction and PI3K-Akt pathways. Gene Set Enrichment Analysis further validated these associations. The expression of these hub genes inversely correlated with skeletal muscle index (r = -0.63 to -0.74; p < 0.01) and grip strength (r = -0.58 to -0.69; p < 0.05). Clinically, sarcopenic individuals exhibited significantly lower BMI, gait speed, and muscle mass (all p < 0.001). Integrating bioinformatics and clinical data identified these four genes as critical mediators linking inflammation, defective autophagy, and musculoskeletal decline in sarcopenia. These findings provide translational insight into the molecular mechanisms underlying osteosarcopenia and suggest potential biomarkers and therapeutic targets to improve diagnosis and treatment in aging-related musculoskeletal disorders. See also the graphical abstract(Fig. 1).
Indexed as
Identifiers
What OpenQuestion 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 OpenQuestion graph.