GeroScience, Journal Year: 2025, Volume and Issue: unknown
Published: March 7, 2025
Epigenetic aging clocks represent contemporary biomarkers that predict age using methylomic data. These models can be categorized as first-generation estimate chronological or next-generation are designed to associate with health, lifestyle, and/or outcomes. Recently, we created a buccal clock called CheekAge associates all-cause mortality risk in older adults. To better understand our model, collated 25 Infinium MethylationEPIC datasets the Gene Expression Omnibus database and analyzed ability of five other well-known distinct health disease signals. outcompeted every tested by significantly associating total 33 different variables, including human immunodeficiency virus, major depressive disorder, psychological trauma, prediabetes, body mass index, non-alcoholic fatty liver disease, pulmonary fibrosis, exposure chemical endocrine disruptor PBB-153, various cancers tumors. Of six tested, outperformed clocks. underlying biology CheekAge, iteratively removed CpG inputs identify DNA methylation sites promoted antagonized each association. Finally, performed detailed enrichment analyses on these unveil overrepresented biological processes transcription factor targets.
Language: Английский