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ORIGINAL RESEARCH article
Front. Microbiol.
Sec. Infectious Agents and Disease
Volume 16 - 2025 |
doi: 10.3389/fmicb.2025.1514388
This article is part of the Research Topic Diagnosis and Treatment Strategies of Tick-borne Diseases View all 6 articles
Identification of Early Prediction Biomarkers of Severity in Patients With Severe Fever With Thrombocytopenia Syndrome Based on Plasma Proteomics
Provisionally accepted- 1 First Affiliated Hospital, Nanjing Medical University, Nanjing, China
- 2 Shanghai Ninth People’s Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, Shanghai, China
Background: Severe fever with thrombocytopenia syndrome (SFTS) is a newly emerging infectious disease. Given its rapid disease progression and high mortality rate, early warning is crucial in improving the outcomes, However, to date, relevant comprehensive predictors or an effective prediction model are still poorly explored.. Methods: A plasma proteomic profile was performed at early stages in patients with SFTS. Functional clustering analysis was used to select the candidate proteins and then validate their expression by ELISA. A cohort consisting of 190 patients with SFTS was used to develop the predictive model for severe illness and subsequently validate it in a new cohort consisting of 93 patients with SFTS.Results: A significant increase in plasma proteins associated with various functional clusters, such as the proteasomal protein catabolic process, phagocytosis, and humoral immune response, was observed in severe SFTS patients. High levels of four proteins including NID1, HSP90α, PSMA1, and VCAM1 were strongly correlated with mutiorgan damage and disease progression. A prediction model was developed at the early stage to accurately predict severe conditions with the area under the curve of 0.931 (95% CI, 0.885, 0.963).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.
Keywords: Severe fever with thrombocytopenia syndrome, Proteomics, biomarker, prediction, prognosis
Received: 20 Oct 2024; Accepted: 14 Jan 2025.
Copyright: © 2025 Zhang, Jiang, Jiang, Shi, Zhao, Zhao, Ouyang, Huang, Zhang, Dai, Hu, Shi, Han, Jin and Li. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence:
Zhengyi Jiang, First Affiliated Hospital, Nanjing Medical University, Nanjing, China
Nan Jiang, First Affiliated Hospital, Nanjing Medical University, Nanjing, China
Luchen Shi, First Affiliated Hospital, Nanjing Medical University, Nanjing, China
Ke Ouyang, First Affiliated Hospital, Nanjing Medical University, Nanjing, China
Huaying Huang, First Affiliated Hospital, Nanjing Medical University, Nanjing, China
Nannan Hu, First Affiliated Hospital, Nanjing Medical University, Nanjing, China
Ping Shi, First Affiliated Hospital, Nanjing Medical University, Nanjing, China
Yaping Han, First Affiliated Hospital, Nanjing Medical University, Nanjing, China
Ke Jin, First Affiliated Hospital, Nanjing Medical University, Nanjing, China
Jun Li, First Affiliated Hospital, Nanjing Medical University, Nanjing, China
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