Identification of CCL20 as a prognostic predictor for severe fever with thrombocytopenia syndrome based on plasma proteomics

Author:

Zhang Yue123ORCID,Li Lan123,Liu Yuanni4,Zhang Wei35,Peng Wenjuan123,Zhang Shuai6,Qu Renliang6,Ma Yuan123,Liu Zishuai35,Ge Ziruo35,Zhou Yanxi123,Tian Wen35,Shen Yi7,Liu Li8,Duan Jianping9,Chen Zhihai35,Zhu Liuluan123ORCID

Affiliation:

1. Beijing Key Laboratory of Emerging Infectious Diseases, Institute of Infectious Diseases, Beijing Ditan Hospital, Capital Medical University , Beijing 100015 , China

2. Beijing Institute of Infectious Diseases , Beijing 100015 , China

3. National Center for Infectious Diseases, Beijing Ditan Hospital, Capital Medical University , Beijing 100015 , China

4. Department of Infectious Diseases, Yantai City Hospital for Infectious Disease , Yantai 264001 , China

5. Department of Infectious Diseases, Beijing Ditan Hospital, Capital Medical University , Beijing 100015 , China

6. Department of Clinical Laboratory, Yantai City Hospital for Infectious Disease , Yantai 264001 , China

7. Department of Infectious Diseases, Dandong Infectious Disease Hospital , Dandong 118002 , China

8. Department of Infectious Diseases, Taian City Central Hospital , Taian 271000 , China

9. Department of Hepatology, Qing Dao No. 6 People’s hospital , Qingdao 266033 , China

Abstract

Abstract Background Severe fever with thrombocytopenia syndrome (SFTS), a lethal tick-borne hemorrhagic fever, prompted our investigation into prognostic predictors and potential drug targets using plasma Olink Proteomics. Methods Employing the Olink assay, we analyzed 184 plasma proteins in 30 survivors and 8 non-survivors of SFTS. Validation was performed in a cohort of 154 SFTS patients using enzyme-linked immunosorbent assay. We utilized the Drug Gene Interaction database to identify protein-drug interactions. Results Non-survivors exhibited 110 differentially expressed proteins (DEPs) compared to survivors, with functional enrichment in the cell chemotaxis-related pathway. Thirteen DEPs, including C-C motif chemokine 20 (CCL20), calcitonin gene-related peptide alpha and Pleiotrophin, were associated with multiple organ dysfunction syndrome. CCL20 emerged as the top predictor of death, demonstrating an area under the curve of 1 (P = .0004) and 0.9033 (P < .0001) in the discovery and validation cohort, respectively. Patients with CCL20 levels exceeding 45.74 pg/mL exhibited a fatality rate of 45.65%, while no deaths occurred in those with lower CCL20 levels. Furthermore, we identified 202 FDA-approved drugs targeting 37 death-related plasma proteins. Conclusions Distinct plasma proteomic profiles characterize SFTS patients with different outcomes, with CCL20 emerging as a novel, sensitive, accurate, and specific biomarker for predicting SFTS prognosis.

Publisher

Oxford University Press (OUP)

Subject

Infectious Diseases,Immunology and Allergy

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