Scientists from the Ian and Dan Duncan Neurological Research Institute and Baylor College of Medicine conducted a study that showed that genes associated with Alzheimer’s disease have differences depending on gender, the publication reports. Lenta.ru .
In order to study how DNA mutations affect the functionality of proteins and the biological processes of an organism, an integrated computational approach known as EAML has been applied.
Within the framework of this study, an integrated EAML computational approach was used, which includes nine machine learning algorithms and an evolutionary action evaluation (EA) system. Using EAML, the effect of mutations on the structure and functionality of proteins was analyzed, and their effect on biological processes in the body was determined.
The researchers used artificial intelligence to analyze gene coding patterns in 2,729 Alzheimer’s patients and 2,441 controls. As a result, 98 genes were identified that play an important role in the development of this disease.
Scientists have also been able to determine the functional relationships between genes, as well as identify which neuroinflammation pathways they activate, which will help to better understand the mechanisms of disease development. In addition, the role of microglia and astrocytes in the development of the disease was revealed. These results may be useful for further study of the disease and the development of new treatments.
After examining all possible candidate genes, tests were carried out on the fruit fly to determine their effect on degeneration caused by tau and beta-amyloids.
The study identified the presence of 36 genes associated with tau-induced degeneration and 29 genes that affect beta-amyloid-induced neurodegeneration.
Nine genes have been found that are able to slow down the degeneration process associated with both tau and beta-amyloids. These results may be important for further research into the treatment and prevention of neurodegenerative diseases such as Alzheimer’s disease.
To analyze the manifestation and progression of dementia in men and women, the researchers used the EAML method.
The study found 157 genes that cause Alzheimer’s disease in men and 127 genes in women. Notably, gender separation significantly improved the accuracy of risk prediction and increased the sensitivity of the study.
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