The first epigenetic clock for rats was developed and revealed to reflect phenotypic aging and captured the effects of longevity interventions.

Deep learning on fundus images provides a non-invasive, short time-scale biological aging clock that successfully identifies aging genes validated in a fly model.

Site-specific DNA methylation analysis at three CG dinucleotides by pyrosequencing provides a reliable measure for epigenetic aging of mice.

A robust mouse multi-tissue age predictor is presented that can be used to assess the DNA methylation age of mouse tissues and test the effects of longevity interventions.

Epigenetic clocks are an accurate measure of biological aging and 'tick' slower in male sheep that are castrated.

Among the factors that predict fitness in wild baboons, dominance rank in males, but not in females, is the best predictor of epigenetic aging.

An integrative study of five biological clocks in somatic and mental health indicate that one's biological age is best reflected by combining aging measures from multiple cellular levels.

Age-dependent changes in DNA methylation are tightly coupled to the metabolic state, and is partly under genetic regulation, and longer lifespan is associated with lower epigenetic entropy at CpGs that increase in methylation with age.

DunedinPACE is a novel DNA methylation biomarker of the pace of biological aging for intervention trials and natural experiment studies investigating how the rate of aging may be changed by behavioral or drug therapy, or by environmental modification.

Rat blood profiles support non-linear aging with distinct trajectory shifts, and these profiles could be used to predict non-overt illness in rats or aging intervention efficacy.