🧬 Decode. Predict. Transform: The Transcriptomic Secrets of Ageing

🧬 Aging leaves a molecular fingerprint—and we can now read it.   A remarkable Nature study analyzed >11,000 transcriptomes across mice, rats, macaques, and humans to identify universal transcriptomic hallmarks of ageing. The investigators developed highly accurate gene-expression clocks that predict biological age, mortality risk, lifespan modulation, and responses to rejuvenation interventions.   Key themes included inflammation, interferon signaling, mitochondrial dysfunction, chromatin remodeling, and extracellular matrix changes. Notably, CDKN1A (p21) and LGALS3 emerged as important mortality-associated markers.   🎙️ Featured on Dr RR Baliga's Podkast for the Kurious Doc.   #Aging #Longevity #Transcriptomics #PrecisionMedicine #Geroscience #MedicalPodcasts #NatureJournal #HealthyAging #Biomarkers #AIinMedicine