Researchers discover a blood test that can predict how long you can live

A person's aging can be found by the pattern of chemicals found in the blood rather than by number. A new study by researchers at Boston university finds out biomarker signatures in the blood can be used to predict aging and also the possibility of a person to develop age-related diseases in the future. A Biomarker gives information about a physiological process or a disease.

Researchers discover a blood test that can predict how long you can live

A person's age does not indicate his overall health and their risk for certain conditions. But these new biomarker signatures gives us deep insights about a person's risk of age-related diseases and death over a 8 year period. These signatures were successful in predicting healthy aging of people and their risk of developing certain diseases like heart disease, stroke, type 2 diabetes and cancer.

The research project was titled Long life family study. As part of the project, researchers analyzed 19 different biomarkers in blood samples of more than 4700 people and analyzed these samples against the people's health over a period of 8 years.The age group of the people varied from 30 to 110 years. Using an algorithm they identified 26 different biomarker signatures in among the blood of participants. Then they compared patients signatures with their diseases and overall health.

According to Lead authors, Professors Dr. Paola Sebastiani and Dr. Thomas Perls, these signatures show differences in how people age and they guarantee in predicting healthy aging changes in their physical function and age-related diseases like heart disease, stroke, type 2 diabetes, and cancer.

This research helps to formulate the molecular definition of aging that uses information from biomarkers circulating in the blood to generate signatures associated with death and certain age-related diseases associated with death. The researchers, however, noted that more studies have to be done on larger groups of people to confirm the results.

The research is Published in the journal Aging cell.

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