Published on: Mar 16, 2026
A recent study by researchers from the University of Minnesota and Duke University, published in Aging Cell, explores how tiny molecules in the bloodstream known as small RNAs may help explain differences in human longevity.
RNA plays an essential role in regulating cellular activity. Specific forms of small RNA, such as microRNAs (miRNAs) and piwi-interacting RNAs (piRNAs), influence gene expression and may affect aging and survival outcomes. In this study, researchers analyzed blood samples from over 1,200 adults aged 71 and above to determine whether certain small RNAs are associated with longer life, whether they can reliably predict survival, and whether they could serve as potential targets for future therapies aimed at promoting healthy aging.
The findings indicate a causal relationship between circulating small RNAs and life expectancy. The team also developed a predictive model that combined small RNA data with clinical and demographic factors, demonstrating strong accuracy in estimating two-year survival rates within the study group. In addition, nine specific piRNAs were found at consistently lower levels among individuals who lived longer, suggesting possible therapeutic targets for longevity interventions.
According to lead researchers, these molecules show strong promise as biomarkers of survival in older adults. Measuring them through a routine blood test could support personalized health monitoring and guide the development of new treatments designed to slow aging processes and improve long-term health outcomes.
A key element of the research was the use of causal predictive artificial intelligence developed at the University of Minnesota’s Institute for Health Informatics. Unlike conventional AI methods that mainly identify correlations, causal AI focuses on uncovering underlying cause-and-effect mechanisms. Through collaboration with aging specialists from Duke University, the study successfully connected computational discoveries with clinical relevance, ensuring that the results align with the biological complexity of human aging.
Source: https://twin-cities.umn.edu/news-events/blood-test-may-predict-survival-after-70
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