Building an Aging Clock from Microglial Transcriptomics Any sufficiently complex set of biological data can be used to produce an aging clock via machine learning approaches, generating some combination of values that reflects biological age. This is possible because the burden of damage and dysfunction associated with aging produces characteristic changes in biological data. Novel clocks are published by the research community at a fair pace these days, such as the clock reported in today's open access paper. It was built from transcriptomic data derived from microglia, innate immune cells of the brain. It is a research tool, impractical for medical use given the difficulty of obtaining brain-resident cells from a living individual. The existence of a clock doesn't tell us anything of the way in which the components of the clock […]
https://www.fightaging.org/arc....hives/2025/05/buildi