Article
An aging clock using metabolomic CSF
2021-04-05
Abstract excerpt
Quantifying the physiology of aging is essential for improving our understanding of age-related disease and the heterogeneity of healthy aging. Recent studies have shown that in regression models using “-omic” platforms to predict chronological age, residual variation in predicted age is correlated with health outcomes, and suggest that these “omic clocks” provide measures of biological age. This paper presents pr...
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Identifiers and source
- Literature Corpus work
- 2f923c73-8a2b-506f-b384-dd7993311035
- DOI
- 10.1101/2021.04.04.438397