DNA Methylation Clocks, Aging, and Interventions
DNA is the genetic blueprint of life. It is therefore only logical to ask the highly-relevant question as to whether there are regions in the DNA code that control our lifespan and aging process. I say it’s logical because we know the DNA blueprint controls the pace and steps in the development of the human body. And certain mutations in the code can lead to diseases of premature aging.
Years ago we demonstrated that the linear ends of the DNA strands function as such a clock of aging. We proved that by resetting the telomere clock with the immortalizing gene telomerase.
Are there other clocks and if so, do they control the rate of aging or merely reflect downstream consequences of aging? That is the debate currently underway in regard to DNA methylation clocks.
DNA is composed of a string of bases commonly referred to as G, A, T, and C. The “C” base can be modified by the addition of a methyl group -CH3. This labeling of the C is thought to play a role in which genes are turned off or on.
By looking at some particular sites in our DNA in say a blood sample to see if the C is methylated, one can fairly-accurately predict the age of the person from which the blood was drawn.
Most people already know how old they are, so that use isn’t particularly useful. But, what if it could be used to measure the aging or incidence of age-related disease in organs throughout the body? That would be VERY useful such as in providing a simple measure of effectiveness of interventional strategies in aging.
Whether a blood-based methylation clock can be developed with useful sensitivity and specificity is what the current debate is over.
@mkaeberlein points out that there is still much work to be done to validate such tests.
@RV_sehgal defended his recent papers largely on the grounds that the results described in the papers are accurately reported.
This is exactly what is so valuable about science. It is all about finding the truth and sparring with one’s colleagues to sharpen our interpretation of data. With that in mind, I will throw in my two cents…
The (Sehgal et al., Nature Aging 2025) paper demonstrates that the system scores (and Systems Age) are associated with and have discriminative ability for organ-relevant outcomes on independent data, and that this discrimination is often better than or comparable to existing global epigenetic clocks.
However, it does not provide the classic sensitivity/specificity numbers that would tell you, for example, “at this threshold the test detects X% of future cases while correctly ruling out Y% of non-cases.” Those metrics do not appear to be in the paper (main text or the freely described supplements (unless I missed something)). Those are the types of results that are the sine qua non for diagnostic development.
In the most recent paper Sehgal, R., Borrus, D., Armstrong, J.F. et al. Responsiveness of epigenetic aging biomarkers to longevity interventions in humans. Nature Medicine (2026) such testing data on sensitivity/specificity in a testing set are still not reported. Furthermore, it is still a nagging question as to whether these methylation marks reflect true “aging” biology (or inflammation marks or both).
Many second-generation clocks (including parts of SystemsAge and GrimAge-family clocks) were trained, after all, on composite clinical risk factors (e.g., inflammation markers). Observed reductions may therefore reflect temporary improvements in intermediate states (inflammation, metabolism, immune cell composition) rather than a fundamental slowing of aging.
Lastly, unless one is to believe that inflammation is a central cause of aging, it is hard (at least for me) to understand how epigenetic changes in blood cell DNA would correlate with age-related degenerative conditions in other tissues/organs.
Of course, sciences surprises us all the time. That is what makes research such an adventure.