Optimal Transport‐Based Transcriptomic Mapping Revealed Atypical Disease Progression Subtypes in Living Alzheimer’s Disease Patients
Xiaoqing Huang, Jie Zhang, Kun Huang, Cristian A Lasagna Reeves, Nur Jury · 2025
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Description
Xiaoqing Huang and co-authors map gene activity patterns to find odd disease paths in living Alzheimer's patients in this 2025 study. The disease varies a lot in how fast thinking fails compared with brain tangles. Such mismatched subgroups were first found in donated brains after death. Finding them in living patients is harder, since brain samples cannot be taken. The team used paired brain and blood gene data from one cohort. A transfer learning method then carried the patterns into blood data of other cohorts.
A math tool from optimal transport helped align the two kinds of sample. The goal was to spot living patients whose disease runs an atypical course. Those patients may respond differently to drugs aimed at tangles. Blood-based typing would make such sorting practical in clinics. The work aims to widen precision care for Alzheimer's disease.
Catalog record
| CREATOR | Xiaoqing Huang, Jie Zhang, Kun Huang, Cristian A Lasagna Reeves, Nur Jury |
|---|---|
| YEAR | 2025 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 3 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |