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Scientists develop new blood test to predict risk of developing psychotic disorders

 


Research published in journals JAMA Psychiatry Testing blood samples for specific protein levels has demonstrated that it can help predict whether an individual is at risk for psychosis and whether they will develop psychotic disorders in the future. ..

“Our study shows that with the help of machine learning, the analysis of protein levels in blood samples is really at risk and perhaps benefits from prophylactic treatment,” said study author David Cotter in a statement. We have shown that we can predict what is possible.”

Analyze data using machine learning

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Based on certain criteria, such as mild or short-term psychotic symptoms, some people are considered to be clinically at increased risk of developing psychotic disorders such as schizophrenia. However, only 20% to 30% of these people actually develop psychotic disorders. For the study, researchers analyzed blood samples collected clinically from people at high risk of psychosis.

These individuals were followed for several years to identify who had and did not develop psychotic disorders. After assessing proteins in blood samples and using machine learning to analyze this data, scientists can predict who has and has not had a psychotic disorder in early blood samples. I was able to find a protein pattern.

Possibility to prevent mental disorders

Many of these proteins are involved in inflammation, suggesting that there are early changes in the immune system of people who develop psychotic disorders. The findings also suggest that blood samples taken several years ago can be used to predict outcomes.

The most accurate test was based on the 10 most predictable proteins. We correctly identified those who developed psychotic disorders in 93% of high-risk cases and those who did not in 80%.

“Ideally, I want to prevent psychotic disorders, but I need to be able to accurately identify who is most at risk,” Cotter said. “Cotter pointed out.

(There is input from the agency)

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