Identification of early prediction biomarkers of severity in patients with severe fever with thrombocytopenia syndrome based on plasma proteomics
The proteomic signatures identified in this study provide insights into the potential pathogenesis of SFTS. The predictive models have substantial clinical implications for the early identification of SFTS patients who may progress to severe conditions.
Authors
- Nan Jiang (ORCID: https://orcid.org/0000-0001-8460-3949)
- Yan Dai (ORCID: https://orcid.org/0009-0000-6463-7201)
- Ke Ouyang
- Yaping Han (ORCID: https://orcid.org/0000-0002-5839-225X)
- Nannan Hu (ORCID: https://orcid.org/0000-0003-3159-3518)
- Zhengyi Jiang
- Jie Zhao (ORCID: https://orcid.org/0000-0003-0770-2999)
- Jun Li (ORCID: https://orcid.org/0000-0001-7218-429X)
- Ping Shi (ORCID: https://orcid.org/0000-0002-7950-031X)
- Ke Jin (ORCID: https://orcid.org/0000-0003-4457-0753)
- Yaqin Zhang (ORCID: https://orcid.org/0000-0003-3436-4569)
- Jiaying Zhao (ORCID: https://orcid.org/0000-0002-3375-4621)
- Qian Zhang (ORCID: https://orcid.org/0000-0002-3520-0155)
- Huaying Huang (ORCID: https://orcid.org/0000-0002-3628-6480)
- Luchen Shi
Institutions
- Jiangsu University (CN)
- Nanjing University of Chinese Medicine (CN)
- Shanghai Jiao Tong University (CN)
- Shanghai Ninth People's Hospital (CN)
- Yixing People's Hospital (CN)
- Nanjing Second Hospital (CN)
- Jiangsu Province Hospital (CN)
- Nanjing Medical University (CN)
Publication Details
- Journal
- Frontiers in Microbiology
- Published
- 2025-02-05
- DOI
- https://doi.org/10.3389/fmicb.2025.1514388
- Citations
- 1
- Primary Topic
- Viral Infections and Vectors
- Type
- article
- Field-Weighted Citation Impact
- 1.40
Funders
- National Natural Science Foundation of China