In a recent study published in the journal Nature Medicine , researchers developed a proteomic age clock using plasma proteins to predict biological age and the associated health risks. They found that this clock accurately predicts age and is linked to the risk of major chronic diseases, multimorbidity, and mortality across diverse populations. Study: Proteomic aging clock predicts mortality and risk of common age-related diseases in diverse populations .
Image Credit: kiehlord / Shutterstock Background Aging is a key factor in the onset of chronic diseases like heart disease, stroke, diabetes, and cancer, though the timing and severity vary across individuals. While chronological age is often used to estimate biological aging, it may not be an accurate surrogate measure. This study is significant as it is the first to validate a proteomic age clock across large and diverse populations, offering a robust tool to predict age-related diseases and mortality.
More accurate estimations can be achieved using 'omics data, which reflect an individual's biological functioning. Biological aging influences the risk of chronic diseases, disability, and healthcare demands. Although deoxyribonucleic acid methylation (DNAm) clocks have been used previously to measure biological age, protein levels may potentially offer more direct insights into aging mechanisms.
Although prior studies have developed proteomic age clocks to predict disease risk and mortality, none have done so in large, div.
