Using a cotton reptile, the new test predicts that a person is still life

Biological clocks are molecular mechanisms that allow us to measure the biological aging of a person or organism. The reason for this is that this age does not always hit chronological. External factors such as diet, stress, smoking, alcohol and exercise can leave traces in our genome as the genes express themselves.

These brands in the genome, called epigenetic modifications, are used by machine learning models in biobelirts known as epigenetic aging hours. Simply biological epigenetic age shows the methylation and enzymes of DNA as clips, “Close” certain quotations from our genetic code.

A recent study published in the Aging Frontiers magazine presented the cheeks, an epigenetic clock that can accurately predict the risk of mortality using the methylation data collected in the cells in the cheeks. Unlike the other state, it can be made at home using a swap a switchying.

Cheek and epigenetic

In the forecast of a person’s biological age, the approach makes innovations between the -art biobelirts, since it can work with epigenetic information obtained in oral examples. And in the reliable prediction of your risk of death. According to the new study, it is possible, even if “epigenetic data from another tissue is used as input”.

Maxim Shokhirev, the first author of the article and Tallly Health (Start that develops Codegege), is the President of the Calculatory Biology and Data Science, today, today’s medical news (MNT) epigenetic clock is significantly related to lifestyle factors such as sleep. , exercise and alcohol consumption and Covid infection, cancer therapy and health factors such as BMI.

However, in this study, the researchers tested whether the cheeks were associated with the risk of death using a blood data set collected from an older adult group. “In a database based on blood samples, it will evaluate the risk of mortality.

Testing the approximate mortality forecasting power

Through the computer programs used for statistical analysis, Shokhirev and his colleagues evaluated how fully the model was able to predict for any reason for any reason for 1,513 women and men born in 1921 and 1936 and accompanied during the Lothian research program. Edinburgh University, Scotland.

In LBC, researchers have tried to establish complex connections between the reduction or care of mental capacities, and personal lifestyle, psychosocial conditions, biomedical data, genetic information, epigenetic features and brain image results.

To test the ability to predict the risk of approach, the current team used data on the latest methylation time (DNA chemical modifications) and deaths obtained in the only health recording system in Scotland. Register.

What are the results of the approach evaluation?

The results of the new biobelirte have exceeded expectations. According to the authors, “Yaktage is significantly associated with mortality in a longitudinal data set, and first exceeds reconstructed hours in data clusters containing the first generation -blood data.”

The statistical assessment has shown that when there was an increase in a standard deviation on the cheek, there was a 21% increase in mortality risk for all causes. This means that The more the biyobelirte shows a aging beyond the expected chronological age, the greater the risk of death.

“Making this technology widely accessible can lead to more fair health practices by benefiting people from different origins,” the US National Aging Council of the US National Aging Council said. This is not just a longer life, but the author MNT, “A better quality of life as you get older,” he says.

To learn a little more about the aging process, understand how the “death timer çalış works in practice. Continue with us at Tecmundo to find clues about such issues and especially about a healthier life. See you soon.