Key Takeaways
- USC research reveals variability in what popular epigenetic clocks measure regarding biological aging.
- New transcriptomic aging gene scores (TAGS) offer improved predictions for age-related diseases and mortality.
- Findings enhance understanding of aging mechanisms, guiding the application of aging clocks in research and clinical settings.
The Role of Epigenetic Clocks in Understanding Aging
USC-led research from the Leonard Davis School of Gerontology evaluates the physiological aspects measured by five widely used epigenetic clocks. These clocks help determine biological age by assessing DNA methylation, a chemical change impacting gene regulation, rather than the mere passage of time.
The study, published in npj Aging, aims to clarify the biological processes that these clocks capture, as different clocks analyze distinct cellular functions. Lead author T. Em Arpawong emphasizes that aging is not solely based on age but on cellular conditions as well. The research creates a clearer link between these biomarkers and biological aging.
Understanding Biological Aging
Cellular aging varies significantly among individuals; for example, two 70-year-olds may exhibit vastly different health statuses. Epigenetic clocks offer a means to capture this variability by analyzing changes in the epigenome, which provides insight into an individual’s health status better than chronological age alone.
In the study, researchers analyzed blood samples from 3,227 participants in the Health and Retirement Study. They compared the patterns of DNA methylation with gene expression—how often genes are activated to produce proteins. These combined measurements led to an understanding of how different aging clocks reflect various biological processes, such as energy balance, immune system activation, and inflammation, which are all hallmark features of aging.
Advancements in Aging Research
The study resulted in the development of transcriptomic aging gene scores (TAGS), which offer more robust predictions regarding health outcomes than epigenetic clocks alone. For instance, TAGS were shown to more effectively predict conditions like heart disease and diabetes, potentially informing better clinical practices.
Research findings encourage future researchers to select appropriate aging clocks depending on their study focus. A specific clock may be more applicable for immune-targeting therapies, while another might be suited for interventions aimed at metabolic health.
Eileen Crimmins, senior author of the study, believes the insights gained help demystify the biological processes behind aging clocks, steering research towards better disease prediction, healthy aging tracking, and improved medical care decisions. These findings enhance the viability of epigenetic clocks in both geroscience and epidemiology, solidifying their role in shaping future clinical applications.
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