Serum proteomics and machine learning identify PSMD11 as a prognostic biomarker in severe fever with thrombocytopenia syndrome
This study identified a proteasome-centered signature associated with adverse outcomes in SFTS, with PSMD11 emerging as a key prognostic biomarker. Its strong correlations with viral load and multi-organ injury support potential utility for early risk stratification and prognostic prediction, while also providing mechanistic insights into disease progression and a foundation for future translational research and therapeutic development.
Authors
- Zhihai Chen (ORCID: https://orcid.org/0000-0001-6481-4781)
- Ziruo Ge (ORCID: https://orcid.org/0000-0002-6423-7205)
- Chenxi Zhao (ORCID: https://orcid.org/0000-0001-7166-2755)
- Lu Liu (ORCID: https://orcid.org/0000-0001-7984-6671)
- Ling Lin (ORCID: https://orcid.org/0000-0003-2022-3220)
- Ranran Wang (ORCID: https://orcid.org/0000-0001-6846-4483)
- Tingyu Zhang (ORCID: https://orcid.org/0000-0003-4469-4035)
- Zhouling Jiang
- Yanli Xu
Institutions
- Yantai Infectious Diseases Hospital (CN)
- Beijing Anding Hospital (CN)
- Beijing Ditan Hospital (CN)
Publication Details
- Journal
- Frontiers in Immunology
- Published
- 2025-11-05
- DOI
- https://doi.org/10.3389/fimmu.2025.1693946
- Primary Topic
- Viral Infections and Vectors
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China
- National Key Research and Development Program of China