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Identification of CCL20 as a prognostic predictor for severe fever with thrombocytopenia syndrome based on plasma proteomics.
Zhang, Yue; Li, Lan; Liu, Yuanni; Zhang, Wei; Peng, Wenjuan; Zhang, Shuai; Qu, Renliang; Ma, Yuan; Liu, Zishuai; Ge, Ziruo; Zhou, Yanxi; Tian, Wen; Shen, Yi; Liu, Li; Duan, Jianping; Chen, Zhihai; Zhu, Liuluan.
Afiliação
  • Zhang Y; Beijing Key Laboratory of Emerging Infectious Diseases, Institute of Infectious Diseases, Beijing Ditan Hospital, Capital Medical University, Beijing 100015, China.
  • Li L; Beijing Institute of Infectious Diseases, Beijing 100015, China.
  • Liu Y; National Center for Infectious Diseases, Beijing Ditan Hospital, Capital Medical University, Beijing 100015, China.
  • Zhang W; Beijing Key Laboratory of Emerging Infectious Diseases, Institute of Infectious Diseases, Beijing Ditan Hospital, Capital Medical University, Beijing 100015, China.
  • Peng W; Beijing Institute of Infectious Diseases, Beijing 100015, China.
  • Zhang S; National Center for Infectious Diseases, Beijing Ditan Hospital, Capital Medical University, Beijing 100015, China.
  • Qu R; Department of Infectious Diseases, Yantai City Hospital for Infectious Disease, Yantai 264001, China.
  • Ma Y; National Center for Infectious Diseases, Beijing Ditan Hospital, Capital Medical University, Beijing 100015, China.
  • Liu Z; Department of Infectious Diseases, Beijing Ditan Hospital, Capital Medical University, Beijing 100015, China.
  • Ge Z; Beijing Key Laboratory of Emerging Infectious Diseases, Institute of Infectious Diseases, Beijing Ditan Hospital, Capital Medical University, Beijing 100015, China.
  • Zhou Y; Beijing Institute of Infectious Diseases, Beijing 100015, China.
  • Tian W; National Center for Infectious Diseases, Beijing Ditan Hospital, Capital Medical University, Beijing 100015, China.
  • Shen Y; Department of Clinical Laboratory, Yantai City Hospital for Infectious Disease, Yantai 264001, China.
  • Liu L; Department of Clinical Laboratory, Yantai City Hospital for Infectious Disease, Yantai 264001, China.
  • Duan J; Beijing Key Laboratory of Emerging Infectious Diseases, Institute of Infectious Diseases, Beijing Ditan Hospital, Capital Medical University, Beijing 100015, China.
  • Chen Z; Beijing Institute of Infectious Diseases, Beijing 100015, China.
  • Zhu L; National Center for Infectious Diseases, Beijing Ditan Hospital, Capital Medical University, Beijing 100015, China.
J Infect Dis ; 2024 Jan 25.
Article em En | MEDLINE | ID: mdl-38271258
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.
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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2024 Tipo de documento: Article