Identification of biomarkers in Alzheimer’s disease and COVID-19 by bioinformatics combining single-cell data analysis and machine learning algorithms
This study identifies shared genes, pathways, immune alterations, and metabolic changes potentially contributing to the pathogenesis of both COVID-19 and AD.
Authors
- Ping Yao (ORCID: https://orcid.org/0000-0002-0192-9546)
- Xuefeng Qian (ORCID: https://orcid.org/0000-0002-8199-6502)
- Linfeng Tao
- Jun Liu (ORCID: https://orcid.org/0000-0002-3680-8998)
- Yanyou Zhou
- Chao Li (ORCID: https://orcid.org/0000-0002-7543-3973)
- Yue Zhu
- Yiyuan Pan
- Juntu Li (ORCID: https://orcid.org/0009-0001-7571-613X)
Institutions
- Suzhou Municipal Hospital (CN)
- Nanjing Medical University (CN)
Publication Details
- Journal
- PLoS ONE
- Published
- 2025-02-18
- DOI
- https://doi.org/10.1371/journal.pone.0317915
- Citations
- 3
- Primary Topic
- Long-Term Effects of COVID-19
- Type
- article
- Field-Weighted Citation Impact
- 4.17
Funders
- Science and Technology Program of Suzhou