Machine learning identifies neutrophil extracellular traps-related biomarkers for acute ischemic stroke diagnosis
To our knowledge, this represents the first comprehensive investigation of NETs-related gene signatures in AIS patients compared with healthy controls. These findings deepen our understanding of immune cell infiltration and the underlying molecular mechanisms involved in stroke, offering novel insights that may enhance diagnostic accuracy and therapeutic strategies for AIS.
Authors
- Ti Wu (ORCID: https://orcid.org/0009-0004-5427-4581)
- Yuanyuan Wang (ORCID: https://orcid.org/0000-0001-9472-8606)
- Xinghua Li (ORCID: https://orcid.org/0000-0002-2094-6480)
- Haipeng Zhang (ORCID: https://orcid.org/0000-0002-8978-6569)
- Yang Cao (ORCID: https://orcid.org/0009-0007-4461-9752)
- Shuangqing Liu (ORCID: https://orcid.org/0009-0005-3939-9551)
Institutions
- Shanxi Medical University (CN)
- Tianjin Medical University General Hospital (CN)
- Second Hospital of Tianjin Medical University (CN)
- Shanxi Fenyang Hospital (CN)
- Tianjin Medical University (CN)
Publication Details
- Journal
- Frontiers in Neurology
- Published
- 2025-08-29
- DOI
- https://doi.org/10.3389/fneur.2025.1611776
- Primary Topic
- Neutrophil, Myeloperoxidase and Oxidative Mechanisms
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Natural Science Foundation of Tianjin City