Predictive Power of Blood Tests for Chronic Age-Related Conditions: Research
Recent research featured in Nature Medicine highlights a study by researchers who have created a blood test that analyses more than 200 proteins to determine a person’s biological age.
The research indicates that the test, which was developed using machine learning techniques, can forecast an individual’s risk of developing 18 major age-related diseases and their likelihood of premature death from any cause. This study enhances the understanding of the biological processes underlying various age-related conditions and sheds light on how genetics and environmental factors impact the aging process.
The proteome encompasses all the proteins produced by an organism. The research aimed to develop a "proteomic aging clock" to predict the risk of prevalent age-related diseases.
By utilizing proteomics data, scientists can more precisely evaluate ageing by comparing an individual’s biological functions to their chronological age. Unlike most biological ageing clocks that depend on DNA methylation, analyzing protein levels could provide more immediate insight into ageing mechanisms, particularly since proteins are central to drug development.
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