🧬 Decode. Predict. Transform: The Transcriptomic Secrets of Ageing
Thumbnail from YouTube. Playing loads the YouTube player.
History & recommendationsOff
Keep recently viewed content on this browser. Your history stays on this device and is never sent to Harbor. Videos you play can also help order related video recommendations.
Open saved items & history →About this video
Creator description · original language
🧬 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
MasterMedFacts · 6 min · Source published: 2026-05-30
Added to Harbor: 10/22/2026
Original on YouTube ↗Automatically categorized source. Creator statements are not an independent evidence review or personal medical guidance.