Aging clock
Biomarker1 paper
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12Mechanistic biological age clock matches PhenoAge in predicting human mortality
The systems pharmacology model splits biological age into organ axes, revealing that pharmacological drops in inflammation may not translate to expected risk reductions.
Organ age acceleration and mortality risk reflect distinct biological processes
Multi-omics clocks across fourteen organs reveal divergent molecular programs and uncover thirteen candidate genes separating age acceleration from mortality.
Mammalian cellular identity erodes with age through predictable chromatin drift
Imperfect maintenance of developmental chromatin constraints causes age-associated DNA methylation gains predominantly at polycomb-regulated genomic regions across mammalian tissues.
Speech clocks reflect dementia phenotypes and biological aging markers
A cross-national analysis of Latin American participants connected speech age gaps to epigenetic age, brain clocks, and cognitive decline.
Chronological age prediction does not prove biological age measurement
Researchers show that standard age-trained clocks reflect task-specific statistics rather than true biological aging constructs, limiting how researchers interpret clock gaps and rejuvenation.
Blood and facial photos track organ aging and senescence scores in humans
Researchers used transcriptomic models, DNA methylation, and images across multiple human cohorts to infer tissue-specific biological age and hallmark burdens.
Biological age uncertainty independently predicts mortality and health decline in humans
Researchers derived biological age uncertainty across UK Biobank participants, finding that higher uncertainty reflects reduced physiological coherence and predicts worse health outcomes.
Biological aging clocks combined with genetics improve dementia risk prediction
Adding proteomic, metabolomic, and clinical aging measures to polygenic scores boosted prediction accuracy in two large human cohorts.