Integrated bioinformatics analysis unravels mitochondrial-immune crosstalk and infiltration dynamics in sepsis progression
By integrating bioinformatics with machine learning models, we identified three mitochondrial and immune-related biomarkers (MSRB2, TSPO, and BLOC1S1) with diagnostic value for sepsis. These biomarkers provide new insights into subtype stratification, immune infiltration characteristics, and targeted therapy in sepsis.
Authors
- Yongjian Pei
- Tong Zhou (ORCID: https://orcid.org/0000-0003-3844-1576)
- Yunsheng Yang (ORCID: https://orcid.org/0000-0003-0361-7674)
- Anyuan Zhong (ORCID: https://orcid.org/0000-0002-3956-6306)
- Minhua Shi (ORCID: https://orcid.org/0000-0002-5498-846X)
- Ting Li (ORCID: https://orcid.org/0000-0001-8733-4625)
- Chen Chen (ORCID: https://orcid.org/0000-0002-9276-3237)
- Yongkang Huang (ORCID: https://orcid.org/0000-0002-4811-001X)
- Fanjian Meng
Institutions
- Soochow University (CN)
- Second Affiliated Hospital of Soochow University (CN)
- Suzhou Traditional Chinese Medicine Hospital (CN)
Publication Details
- Journal
- European journal of medical research
- Published
- 2025-09-26
- DOI
- https://doi.org/10.1186/s40001-025-03142-w
- Primary Topic
- Sepsis Diagnosis and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 0.00