{"version":1,"type":"rich","provider_name":"Libsyn","provider_url":"https:\/\/www.libsyn.com","height":300,"width":600,"title":"\ud83e\uddec Decode. Predict. Transform: The Transcriptomic Secrets of Ageing","description":"\ud83e\uddec Aging leaves a molecular fingerprint\u2014and we can now read it. &amp;nbsp; A remarkable Nature study analyzed &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;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;nbsp; \ud83c\udf99\ufe0f Featured on Dr RR Baliga\u2019s Podkast for the Kurious Doc. &amp;nbsp; #Aging #Longevity #Transcriptomics #PrecisionMedicine #Geroscience #MedicalPodcasts #NatureJournal #HealthyAging #Biomarkers #AIinMedicine ","author_name":"Dr. RR Baliga's 'Podkast for the Kurious Doc'. Where Curiosity meets Clarity!","author_url":"http:\/\/www.MasterMedFacts.com","html":"<iframe title=\"Libsyn Player\" style=\"border: none\" src=\"\/\/html5-player.libsyn.com\/embed\/episode\/id\/41460750\/height\/300\/theme\/custom\/thumbnail\/yes\/direction\/forward\/render-playlist\/no\/custom-color\/88AA3C\/\" height=\"300\" width=\"600\" scrolling=\"no\"  allowfullscreen webkitallowfullscreen mozallowfullscreen oallowfullscreen msallowfullscreen><\/iframe>","thumbnail_url":"https:\/\/assets.libsyn.com\/secure\/content\/202402245"}