![]() The epigenetic clock is a promising biomarker of aging and can accurately predict human chronological age. Īdvances in big data analysis allowed for the new types of "aging clocks" to be developed. Levels of CD4 and CD8 memory T cells and naive T cells have been used to give good predictions of the expected lifespan of middle-aged mice. Biogerontologists have continued efforts to find and validate biomarkers of aging, but success thus far has been limited. Similarly, skin wrinkles and other common changes seen with aging are not better indicators of future functionality than chronological age. Īlthough graying of hair increases with age, hair graying cannot be called a biomarker of ageing. An assemblage of biomarker data for an organism could be termed its "ageotype". Ideally, biomarkers of aging should assay the biological process of aging and not a predisposition to disease, should cause a minimal amount of trauma to assay in the organism, and should be reproducibly measurable during a short interval compared to the lifespan of the organism. Although maximum lifespan would be a means of validating biomarkers of aging, it would not be a practical means for long-lived species such as humans because longitudinal studies would take far too much time. Validated biomarkers of aging would allow for testing interventions to extend lifespan, because changes in the biomarkers would be observable throughout the lifespan of the organism. Stated another way, biomarkers of aging would give the true "biological age", which may be different from the chronological age. Biomarkers of aging are biomarkers that could predict functional capacity at some later age better than chronological age.
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