Integrating bioinformatics and machine learning analyses to identify immune-related secretory proteins and therapeutic small-molecule drugs in calcific aortic valve disease with type 2 diabetes
Our study identifies key secretory proteins and immune signatures in T2DM-associated CAVD and proposes a novel diagnostic model with strong clinical applicability. These findings offer new insights for early diagnosis and personalized treatment strategies in CAVD patients with T2DM.
Authors
- Binhao Zhang
- Caixia Gao (ORCID: https://orcid.org/0000-0002-4769-8691)
- Shizhong Wei (ORCID: https://orcid.org/0000-0001-7258-3901)
- Mengjie Hu (ORCID: https://orcid.org/0000-0001-7880-3733)
- Xiang H.-F. Zhang (ORCID: https://orcid.org/0000-0002-5674-8670)
- Qiuhua Luo (ORCID: https://orcid.org/0000-0003-3545-2499)
- Shentao Li
- Shuang Wang (ORCID: https://orcid.org/0000-0003-3817-392X)
- Yuqing Zhang (ORCID: https://orcid.org/0000-0003-0451-4597)
- Qian Hu (ORCID: https://orcid.org/0009-0006-9445-6368)
- Xiaobo Yu
- Bin Guo (ORCID: https://orcid.org/0000-0002-7749-725X)
- Jianliang Zhou
- Jiahui Wang (ORCID: https://orcid.org/0000-0002-7997-7177)
Institutions
- Wuhan University (CN)
- Hubei Provincial Center for Disease Control and Prevention (CN)
- Wuhan Prevention and Treatment Center for Occupational Diseases (CN)
- Zhongnan Hospital of Wuhan University (CN)
Publication Details
- Journal
- Frontiers in Immunology
- Published
- 2025-10-08
- DOI
- https://doi.org/10.3389/fimmu.2025.1634655
- Primary Topic
- Cardiac Valve Diseases and Treatments
- Type
- article
- Field-Weighted Citation Impact
- 0.00