×
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

Musk-backed DOGE project targets federal workforce with AI automation

DOGE recruitment effort targets 300 standardized roles affecting 70,000 federal employees, sparking debate over AI readiness for government work.

AI tools are changing workflows more than they are cutting jobs

Counterintuitively, the Danish study found that ChatGPT and similar AI tools created new job tasks for workers and saved only about three hours of labor monthly.

Disney abandons Slack after hacker steals terabytes of confidential data using fake AI tool

A Disney employee fell victim to malware disguised as an AI art tool, enabling the hacker to steal 1.1 terabytes of confidential data and forcing the company to abandon Slack entirely.