Prognosis of schizophrenia risk
The algorithm has learned to accurately predict schizophrenia years before its appearance
Georgy Golovanov, Hi-tech+
A team of researchers from Ireland has developed a machine learning algorithm to study blood samples that predict the risk of developing psychotic disorders, such as schizophrenia, several years before the first serious attacks. The prediction accuracy for protein markers was 93%.
Only about a quarter of people who have experienced weak, transient psychotic states in their youth eventually develop psychoses. Schizophrenia, for example, is usually not diagnosed clinically until the age of 20. However, this condition manifests itself through a number of signs and symptoms that may precede full-fledged psychotic episodes that already require the attention of doctors.
Scientists from The Royal College of Surgeons proceeded in their study from the fact that early detection of developing psychotic disorders is vital for the preventive treatment of these diseases. They studied blood samples of 12-year-olds who are at risk for psychosis, according to a press release from Scientists use blood test to predict who is likely to develop psychotic disorders. The researchers also observed them until they reached the age of 18. Using a machine learning algorithm, they established a unique set of proteins that is inherent in those who eventually developed psychosis.
Ten proteins turned out to be the most effective from the point of view of prognosis. With their help, scientists were able to identify those who will develop a psychotic disorder by the age of 18, with an accuracy of 93%.
Another finding of the researchers is that many of these protein markers are associated with inflammatory processes.
Article by Mongan et al. The Development of Proteomic Prediction Models for Transition to Psychotic Disorder in the Clinical High-Risk State and Psychotic Experiences in Adolescence is published in the journal JAMA Psychiatry – VM.
Schizophrenia is a poorly understood disease. Not so long ago, Japanese scientists found out that schizophrenia is associated with a violation of fat metabolism in the brain and identified a previously unknown goal for the development of more effective drugs in its treatment.
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