Single‐Microglia Transcriptomic Transition Network‐based Prediction and Real‐world Patient Data Validation Identifies Ketorolac as a Repurposable Drug for Alzheimer’s Disease
Jielin Xu, Michael Danziger, Zhenxing Xu, Chengxi Zhang, Yadi Zhou, Yuan Hou, Ehud Karavani, Yishai Shimoni, Andrew A Pieper, James B Leverenz, Jeffrey L Cummings, Jianying Hu, Fei Wang, Michal Rosen‐Zvi, Feixiong Cheng · 2025
Read Single‐Microglia Transcriptomic Transition Network‐based Prediction and Real‐world Patient Data Validation Identifies Ketorolac as a Repurposable Drug for Alzheimer’s Disease by Jielin Xu, Michael Danziger, Zhenxing Xu, Chengxi Zhang, Yadi Zhou, Yuan Hou, Ehud Karavani, Yishai Shimoni, Andrew A Pieper, James B Leverenz, Jeffrey L Cummings, Jianying Hu, Fei Wang, Michal Rosen‐Zvi, Feixiong Cheng (2025) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-11709361.txt.
Description
Jielin Xu and fourteen co-authors present a 2025 study that flags an existing pain drug as a candidate for Alzheimer's disease. The work centers on microglia, the brain's immune cells, which come in many forms. Some forms are tied to the disease's protein clumps and to swelling in the brain.
The team read gene activity in about 700,000 single brain cells from patients. They sorted the microglia into subtypes and mapped how cells shift between states as disease grows. A network model then ranked drugs that might push cells back toward healthy states. The pain drug ketorolac rose to the top. Records of real patients were used to check the signal.
Catalog record
| CREATOR | Jielin Xu, Michael Danziger, Zhenxing Xu, Chengxi Zhang, Yadi Zhou, Yuan Hou, Ehud Karavani, Yishai Shimoni, Andrew A Pieper, James B Leverenz, Jeffrey L Cummings, Jianying Hu, Fei Wang, Michal Rosen‐Zvi, Feixiong Cheng |
|---|---|
| YEAR | 2025 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 3 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |