Bioinformatics Re-analysis of murine transcriptomic datasets identifies SASP and MAPK/NF-κB signaling pathways in noise-accelerated cochlear aging.
Level 5 - mechanism / opinion, no new human data
Secondary bioinformatic re-analysis of murine transcriptomic datasets without human data or wet-lab validation.
PubMed 42184621 · doi:10.1016/j.heares.2026.109679
What was done
Researchers re-analyzed two publicly available *Mus musculus* cochlear transcriptomic datasets from the Gene Expression Omnibus (GEO) repository following acoustic trauma. They identified age-related differentially expressed genes (ARDEGs) by intersecting noise-induced differentially expressed genes with an established aging-related gene set. They then conducted Gene Ontology, KEGG, and gene set enrichment analyses, constructed a classification model evaluated in a third murine dataset, mapped regulatory networks, and analyzed immune cell infiltration.
What was found
The workflow identified 14 ARDEGs: *Il6*, *Cxcl1*, *Ccl2*, *Ccl7*, *Icam1*, *Gdf15*, *Mmp10*, *Jun*, *Fos*, *Atf3*, *Gadd45b*, *Mbl1*, *Gem*, and *Atm*. Functional enrichment implicated the MAPK (notably ERK), NF-κB, JAK-STAT, and IL-18 signaling pathways, alongside senescence-associated secretory phenotype components, inflammation, cell cycle arrest, and extracellular matrix remodeling. The abstract reports no numerical effect sizes, p-values, or performance metrics.
Why it matters
The findings map potential shared molecular pathways between acoustic trauma and age-related cochlear degeneration, offering candidate biomarkers and regulatory mechanisms for future experimental study.
Limits
The study is entirely computational and relies on secondary analysis of existing mouse microarray or RNA-seq data without new wet-lab, histological, or functional auditory validation. Sample sizes, noise exposure levels, and precise statistical metrics are not provided in the abstract, and findings in rodent models may not translate directly to human presbycusis.
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