Transcriptomic landscape of human cardiac aging: identification of cardioselective age-associated genes and predictive modeling.
Identifying heart-specific aging genes creates a foundation for developing biological aging markers tailored to cardiac tissue.
Using GTEx bulk RNA-seq from atrial appendage and left ventricle tissues, the authors identified 393 cardioselective age-associated genes distinct from skeletal muscle aging signatures, with p53/senescence pathways positively and mitochondrial biogenesis/fatty acid oxidation pathways negatively correlated with age. An ordinal elastic net regression model trained on these genes achieved acceptable internal performance (QWK 0.797) with modest but reproducible external validation, providing a cardiac aging transcriptomic resource for biomarker development.
What the study was
- Study design
- Computational transcriptomics with external validation
- Population
- GTEx project RNA-seq data (atrial appendage + left ventricle); validated in 2 independent microarray cohorts
- Category
- Genomics/Precision Medicine
- Maturity
- Exploratory
- Journal
- Biogerontology
Why it surfaced
Novel cardioselective aging gene signature derived from GTEx human data with ML predictive model; moderate external validation; provides mechanistic and biomarker basis for cardiac aging research relevant to longevity watchlist.
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