Lu · Nature aging 2023 · Multi-species cross-sectional profiling and predictive model development · n=11,754 methylation arrays (185 mammalian species, 59 tissue types)

Universal DNA methylation age across mammalian tissues.

Cited 410 times in the scientific literature.

Level 5 - mechanism / opinion, no new human data

Level 5 by design analogy (computational biomarker modeling using cross-species bench and tissue array data)

PubMed 37563227 · doi:10.1038/s43587-023-00462-6 · record verified 2026-08-30

What was done

Analyzed 11,754 DNA methylation arrays from the Mammalian Methylation Consortium spanning 59 tissue types across 185 mammalian species to construct universal pan-mammalian epigenetic clocks and characterize shared age-associated cytosine methylation patterns.

What was found

The universal pan-mammalian predictive models estimated mammalian tissue age with high correlation (r > 0.96). Epigenetic age acceleration deviations correlated with human mortality risk, mouse somatotropic axis mutations, and caloric restriction. Conserved age-related methylation sites were significantly enriched at polycomb repressive complex 2-binding locations adjacent to genes associated with mammalian development, cancer, obesity, and longevity.

Why it matters

This establishes that epigenetic aging mechanisms are evolutionarily conserved across mammalian species and closely tied to developmental pathways, offering a standardized cross-species molecular tool to evaluate aging interventions.

Limits

The abstract provides limited numerical precision beyond the correlation coefficient (omitting absolute error metrics), does not detail sample representation per species or tissue, and relies on cross-sectional array correlations without establishing causal mechanisms for the observed methylation shifts.

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