×
AI discovers potential Alzheimer’s cause and treatment
Written by
Published on
Join our daily newsletter for breaking news, product launches and deals, research breakdowns, and other industry-leading AI coverage
Join Now

A groundbreaking AI-assisted study has identified the PHGDH gene as not just a biomarker but an actual cause of Alzheimer’s disease due to its previously unknown secondary function. This discovery by University of California San Diego researchers represents a potential breakthrough in understanding spontaneous Alzheimer’s cases—which affect most patients—and offers a promising pathway for developing targeted treatments for a disease that impacts one in nine people over 65.

The big picture: Researchers utilized artificial intelligence to discover that the PHGDH gene plays a direct causal role in Alzheimer’s disease progression, moving beyond its previous status as merely a disease biomarker.

  • The findings, published in the journal Cell on April 23, could fundamentally change how scientists understand and treat Alzheimer’s disease.
  • The research team also identified a potential treatment compound that blocks the gene’s harmful secondary function.

Why this matters: Current Alzheimer’s treatments are severely limited in both options and effectiveness, making new causal discoveries particularly valuable.

  • Understanding the causes of spontaneous Alzheimer’s—which accounts for the vast majority of cases—has been an elusive goal in neuroscience research.
  • Study senior author Sheng Zhong noted that “treatment options for Alzheimer’s disease are very limited. And treatment responses are not outstanding at this moment.”

Key details: The research uncovered that the PHGDH gene has a previously unknown secondary function that contributes directly to Alzheimer’s pathology.

  • While certain genetic mutations can cause Alzheimer’s, these account for only a small percentage of all cases, making the discovery of alternative causes crucial.
  • The team’s AI-assisted approach helped unravel this complex relationship between the gene and disease progression.

Looking ahead: The identification of a compound that can obstruct the gene’s harmful secondary function presents a new potential treatment pathway for a disease that currently has few effective interventions.

  • The research represents a significant step toward developing more targeted and effective treatments for Alzheimer’s disease.
  • Further research will likely focus on translating these findings into clinical applications.
AI Helps Unravel a Cause of Alzheimer’s Disease and Identify a Therapeutic Candidate

Recent News

AI discovers potential Alzheimer’s cause and treatment

AI identifies PHGDH gene as a direct cause of Alzheimer's disease beyond its role as a biomarker, offering a new understanding of spontaneous cases and potential treatment pathways.

AI chatbots transform digital advertising landscape

AI chatbots are creating new advertising opportunities that require rethinking how brands engage with users in conversational contexts without compromising trust.

Chess AI struggles with Paul Morphy’s famous 2-move checkmate

Despite their computational power, today's most advanced AI models still struggle with specific chess challenges that demand creative problem-solving rather than brute-force calculation.