Using DNA Methylation Profiling to Evaluate Biological Age and Longevity Interventions.
Level 5 - mechanism / opinion, no new human data
Preclinical animal and in vitro biomarker development study without human clinical data.
PubMed 28380383 · doi:10.1016/j.cmet.2017.03.016
What was done
Researchers developed an epigenetic predictor of mouse biological age using partial blood DNA methylation profiles across 90 CpG sites. The clock was evaluated for its ability to determine chronological age in mouse cohorts, detect the effects of longevity interventions (calorie restriction and gene knockouts), and assess cellular rejuvenation in fibroblast-derived induced pluripotent stem cells (iPSCs).
What was found
The 90-CpG clock tracked age in mouse cohorts, identified the longevity-extending effects of calorie restriction and gene knockouts, and detected rejuvenation in iPSCs. The authors observed that the relevant CpG sites are scattered across the genome, show gradual methylation changes over time, and differ between mice and humans. The abstract reports no numerical values, correlation statistics, or error rates.
Why it matters
This provides a validated epigenetic biomarker of aging in mice that responds to established life-extending interventions. It enables researchers to evaluate potential anti-aging interventions in preclinical animal models without waiting for full lifespan outcomes.
Limits
The abstract reports no sample sizes for animal cohorts or cell lines, nor does it provide quantitative performance metrics such as mean absolute error or correlation coefficients. The clock is developed in mice, and the authors note that the specific age-associated CpG sites are distinct from those in humans.
Cited by
- supports Caloric restriction substantially slows epigenetic aging in mice, with longer duration producing progressively slower accumulation of epigenetic age.