A panel of 10 blood-based biomarkers can estimate biological age more accurately than chronological age, offering a potential tool for predicting disease risk and guiding preventive diagnostics.
The findings come from the European MARK-AGE study, which analyzed 362 clinical, molecular, and cellular biomarkers in more than 3,300 individuals aged 35 to 74. Using statistical modeling and machine learning, researchers developed sex-specific algorithms that generate a “biological age” score based on a subset of 10 biomarkers each for men and women.
The approach marks a shift from single-analyte testing to multi-marker panels that better reflect systemic aging processes. The study shows that no single biomarker is sufficient; instead, combinations of routinely measurable blood parameters provide a more robust and clinically meaningful assessment of physiological aging.
The resulting “age difference” – defined as biological minus chronological age – emerged as a more informative metric than age alone. For example, individuals with Down syndrome and women who smoke were biologically older than expected, whereas postmenopausal women receiving hormone replacement therapy appeared biologically younger.
Importantly, the study identified a subset of biomarkers linked specifically to biological aging rather than chronological aging. Higher levels of HDL cholesterol, 25-hydroxyvitamin D, and CD3+ CD4+/CD45+ T-cell ratios correlated with a younger biological profile, suggesting these markers may reflect protective or functional aspects of aging. In contrast, markers such as glucose and HbA1c tracked with chronological age but not biological age, indicating they may act as bystanders rather than drivers of the aging process.
The study also highlights the feasibility of large-scale biomarker integration, combining clinical chemistry with immunological and molecular data. Such approaches could support earlier identification of individuals at increased risk of age-related diseases, even in otherwise healthy populations.
Although further validation is required, the findings point toward a future in which laboratory diagnostics play a central role in quantifying biological aging, enabling more personalized prevention and monitoring strategies across the lifespan.
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