AI uncovers the hidden genetic control centers driving Alzheimer’s
Scientists have created the most detailed maps yet of how genes control one another inside the brains of people with Alzheimer’s disease. Using a powerful new AI-based system called SIGNET, the team uncovered cause-and-effect relationships between genes across six major brain cell types, revealing which genes are truly driving harmful changes. The most dramatic disruptions were found in excitatory neurons, where thousands of genetic interactions appear to be extensively rewired as the disease progresses.
Using advanced AI, scientists mapped the genetic control networks inside Alzheimer’s brains and discovered extensive rewiring in key neurons. They also identified hundreds of influential genes that may play a central role in driving the disease. Credit: Shutterstock A team led by Min Zhang and Dabao Zhang at the University of California, Irvine's Joe C. Wen School of Population & Public Health has developed the most comprehensive maps yet of how genes directly influence one another in brain cells affected by Alzheimer's disease. These maps go beyond identifying gene links. They reveal which genes are actively controlling others across different cell types in the brain. To accomplish this, the researchers created a machine learning platform called SIGNET. Unlike traditional tools that only detect genes that appear to move together, SIGNET is designed to uncover true cause-and-effect relationships. Using this approach, the team identified important biological pathways that may contribute to memory loss and the gradual breakdown of brain tissue.
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