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Brain mapping unlocks key Alzheimer’s insights
- March 31, 2025
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A UTA, University of California–San Francisco study explores why some nerve cells are more vulnerable to neurodegeneration
Researchers from The University of Texas at Arlington and the University of California–San Francisco have used a new brain-mapping technique to identify memory-related brain cells vulnerable to protein buildup, a key factor in the development of Alzheimer’s disease, an incurable, progressive brain disorder that slowly destroys memory and thinking skills.
In Texas, nearly half a million people live with Alzheimer’s disease, a form of dementia that costs the state approximately $24 billion in caregiver time, according to the Texas Department of State Health Services. Texas ranks fourth in the nation for Alzheimer’s cases and second in Alzheimer’s-related deaths.
To understand why certain parts of the brain are more affected by Alzheimer's disease, researchers focused on tau, a protein that accumulates in brain cells and disrupt normal activity. Using the MISS (Matrix Inversion and Subset Selection) mapping technique, which profiled approximately 1.3 million cells, the research team created detailed maps of different cell types in the brains of mice. They compared these maps to areas where tau builds up to identify which cell types are most affected. Their findings are published in the peer-reviewed journal Nature Communications Biology.
Interestingly, the researchers also discovered that oligodendrocytes, brain cells that help insulate nerve fibers, were less affected by tau. This suggests that these cells might help to protect the brain against tau buildup.
The study also found that the distribution of different cell types in the brain may better predict where tau accumulation occurs than genetic factors alone. This implies that the types of cells present in different brain regions may be more important than Alzheimer’s-related genes in determining vulnerability to tau.
“Overall, this study helps us understand why certain brain regions are more affected by tau buildup leading to Alzheimer's disease,” Dr. Maia said. “By identifying the cell types and gene functions involved, our study showcases how theoretical and computational models can provide new insights into the progression of Alzheimer’s disease. This is another piece of valuable data that will help us specifically target the vulnerable cells and genes associated with tau buildup, potentially slowing or preventing Alzheimer's disease progression in the future.”
To learn more about Maia’s work, visit the NSF RTG Training in Mathematics for Human Health program, which he co-leads on computational neurology.
This work was supported by the following NIH grants: R01NS092802, RF1AG062196 and R01AG072753.
About The University of Texas at Arlington (UTA)
Located in the heart of the Dallas-Fort Worth Metroplex, The University of Texas at Arlington is a comprehensive teaching, research, and public service institution dedicated to the advancement of knowledge through scholarship and creative work. With an enrollment of approximately 41,000 students, UT Arlington is the second-largest institution in the UT System. UTA’s combination of outstanding academics and innovative research contributes to its designation as a Carnegie R-1 “Very High Research Activity” institution, a significant milestone of excellence. The University is designated as a Hispanic Serving-Institution and an Asian American Native American Pacific Islander-Serving Institution by the U.S. Department of Education and has earned the Seal of Excelencia for its commitment to accelerating Latino student success. The University ranks in the top five nationally for veterans and their families (Military Times, 2024), is No. 4 in Texas for advancing social mobility (U.S. News & World Report, 2025), and is No. 6 in the United States for its undergraduate ethnic diversity (U.S. News & World Report, 2025). UT Arlington’s approximately 270,000 alumni occupy leadership positions at many of the 21 Fortune 500 companies headquartered in North Texas and contribute to the University’s $28.8 billion annual economic impact on Texas.
List of Referenes
- Justin Torok, Pedro D. Maia, Chaitali Anand, Ashish Raj. Searching for the cellular underpinnings of the selective vulnerability to tauopathic insults in Alzheimer’s disease. Communications Biology, 2025; 8 (1) DOI: 10.1038/s42003-025-07575-1
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