Estimating progression of Alzheimer’s disease with extracellular vesicle-related multi-omics risk models
The proposed risk score model demonstrates a novel approach to AD using EV-related large-scale multi-omics data. Potential biomarkers and pathways related to AD were identified for further investigation. Drug candidates were identified for further evaluation in biological experiments, potentially transported to targeted tissues via bioengineered EVs.
Authors
- Sanoji Wijenayake (ORCID: https://orcid.org/0000-0001-6129-6253)
- Qian Liu (ORCID: https://orcid.org/0000-0001-9832-596X)
- Xiao Zhang (ORCID: https://orcid.org/0000-0003-2880-2278)
- Shakhawat Hossain (ORCID: https://orcid.org/0009-0006-3741-0099)
Institutions
- University of Manitoba (CA)
- The University of Winnipeg (CA)
Publication Details
- Journal
- Frontiers in Aging Neuroscience
- Published
- 2025-07-24
- DOI
- https://doi.org/10.3389/fnagi.2025.1617611
- Primary Topic
- Extracellular vesicles in disease
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Manitoba Medical Service Foundation
- Natural Sciences and Engineering Research Council of Canada