The research, published in the journal Cell Genomics, could speed diagnosis and treatment of Alzheimer’s disease. Scientists argue that current diagnostic methods are too complex and expensive, and drugs to combat amyloid plaques only slow down, but do not stop, the development of the disease.
The study used the UK Biobank dataset as well as genomic studies covering more than half a million people. Scientists have identified seven key proteins associated with AD risk, including TREM2, PILRB and others. Some of these proteins have already become targets of FDA-approved drugs, creating new opportunities for repurposing these proteins in the treatment of Alzheimer’s.
The new computational method, MR-SPI, can more accurately identify links between genetic changes and diseases without requiring a large number of genetic tools. MR-SPI, when combined with AlphaFold3, a tool for predicting 3D protein structures, opens new perspectives in drug discovery and molecular prediction.
Source: Ferra
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