A new study at Boston University found that using biomarker models helps predict how a person ages and their risk of aging.
According to the United Press International, the researchers analyzed blood samples from nearly 5,000 participants from longevity families and analyzed biomarkers and chemicals in the blood.
The results showed that about half of the participants had an average pattern of 19 biomarkers, but smaller groups produced certain specific “signatures†or patterns of biomarkers due to deviations from genetic criteria, causing them to After eight years of age, the risk of certain diseases, decreased levels of physical function, and even death increases.
The researchers pointed out that these "signatures" describe people's age differences, can predict people's health after aging, show changes in human cognition and body function, and can also reflect human activities and age and certain diseases such as The relationship between heart disease, stroke, type 2 diabetes and cancer.
The study found that each biomarker pattern has a different association, for example, one pattern is associated with disease-free aging and the other pattern is associated with dementia. Researchers are currently able to generate predictive signature results for 26 different biomarkers.
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