Machine learning-based transcriptomic analysis identifies candidate genes in sepsis-induced coagulopathy and explores the immunomodulatory potential of baicalein
This study identified MMP9, ARG1, and FYN as candidate genes in sepsis involved in immune regulation. Additionally, molecular docking revealed strong binding interactions between baicalein and the proteins encoded by these candidate genes, supporting further investigation of its therapeutic potential in sepsis.
Authors
- Yuxue Zhang (ORCID: https://orcid.org/0000-0003-4356-2444)
- Linsen Mu
- Ming Wu (ORCID: https://orcid.org/0000-0003-0577-1907)
- Daoyuan Zhang (ORCID: https://orcid.org/0000-0001-5026-7617)
- Zhifeng Liu (ORCID: https://orcid.org/0000-0001-5124-9824)
- Zhong Li (ORCID: https://orcid.org/0000-0002-2518-4550)
- Tingting Yuan (ORCID: https://orcid.org/0000-0003-4942-6646)
Institutions
- Guiyang College of Traditional Chinese Medicine (CN)
- Chinese PLA General Hospital (CN)
- Chinese General Hospital College of Nursing and Liberal Arts (PH)
- Third Affiliated Hospital of Southern Medical University (CN)
- General Hospital of Guangzhou Military Command (CN)
- Affiliated Hospital of Guizhou Medical University (CN)
- Shenzhen Second People's Hospital (CN)
Publication Details
- Journal
- Human Genomics
- Published
- 2025-08-31
- DOI
- https://doi.org/10.1186/s40246-025-00818-6
- Citations
- 1
- Primary Topic
- Clusterin in disease pathology
- Type
- article
- Field-Weighted Citation Impact
- 1.05
Funders
- National Natural Science Foundation of China