November 30, 2025Nature AgingOpen Access

Organ-specific proteomic aging clocks predict disease and longevity across diverse populations

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Dementia linked to accelerated brain aging, indicating significant implications for mortality.
Machine learning-driven analysis across diverse cohorts shows brain aging impacts longevity and disease.
Ten organ-specific aging clocks were developed using UK Biobank data, revealing unique pathways of aging risk.
Understanding organ-aging mechanisms may inform future interventions for age-related diseases and longevity.

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Machine learning models reveal brain aging as a key mortality risk factor, highlighting genetics and environment in aging and dementia.

Wang et al. (2025) studied this question.

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