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  <title>🧬 Decode. Predict. Transform: The Transcriptomic Secrets of Ageing</title>
  <description>🧬 Aging leaves a molecular fingerprint—and we can now read it. &amp;amp;nbsp; A remarkable Nature study analyzed &amp;amp;gt;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. &amp;amp;nbsp; 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. &amp;amp;nbsp; 🎙️ Featured on Dr RR Baliga’s Podkast for the Kurious Doc. &amp;amp;nbsp; #Aging #Longevity #Transcriptomics #PrecisionMedicine #Geroscience #MedicalPodcasts #NatureJournal #HealthyAging #Biomarkers #AIinMedicine </description>
  <author_name>Dr. RR Baliga's 'Podkast for the Kurious Doc'. Where Curiosity meets Clarity!</author_name>
  <author_url>http://www.MasterMedFacts.com</author_url>
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