Identification of key genes associated with atrial fibrillation and hypoxia using WGCNA and machine learning technology
This study identified SLC6A6, BGN, and PFKP as key genes associated with AF under hypoxic conditions and successfully developed a diagnostic model with promising clinical applicability. These genes likely play important roles in hypoxia-mediated AF pathogenesis and are closely associated with immune cell infiltration, providing potential biomarkers for early diagnosis and precision treatment of AF. This study provides novel insights into the molecular mechanisms underlying the interplay between hypoxia and AF.
Authors
- Chenglai Fu (ORCID: https://orcid.org/0000-0003-4300-9948)
- Zhaolei Jiang (ORCID: https://orcid.org/0000-0002-5206-0852)
- Mengda Li (ORCID: https://orcid.org/0000-0002-3107-9482)
- Chao Wang (ORCID: https://orcid.org/0000-0002-3245-5849)
- Li Zhang (ORCID: https://orcid.org/0000-0001-7705-6385)
- Ju Mei (ORCID: https://orcid.org/0000-0002-3694-245X)
- Fangbao Ding
- Jie Cai (ORCID: https://orcid.org/0000-0002-6126-5083)
- Jianbin Huang
- Mardan Muradil
Institutions
- Shanghai Jiao Tong University (CN)
- XinHua Hospital (CN)
- Henan Provincial People's Hospital (CN)
Publication Details
- Journal
- Frontiers in Cardiovascular Medicine
- Published
- 2025-11-28
- DOI
- https://doi.org/10.3389/fcvm.2025.1614979
- Primary Topic
- Atrial Fibrillation Management and Outcomes
- Type
- article
- Field-Weighted Citation Impact
- 0.00