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已发表论文

血清 Olink 靶向蛋白质组学鉴定出 IL-17A 为川崎病预测和诊断的潜在炎症标志物

 

Authors Tu X, Chen X, Xu L , Yang C, Li J, Liu Y, Zhou B

Received 22 November 2024

Accepted for publication 22 February 2025

Published 4 March 2025 Volume 2025:18 Pages 3093—3103

DOI http://doi.org/10.2147/JIR.S506154

Checked for plagiarism Yes

Review by Single anonymous peer review

Peer reviewer comments 2

Editor who approved publication: Professor Ning Quan

Xueli Tu,* Xueqi Chen,* Liyan Xu,* Chenxi Yang, Jingjing Li, Yiwen Liu, Bin Zhou

Department of Pediatrics, Xuzhou Clinical College of Xuzhou Medical University, Xuzhou Central Hospital, Xuzhou, 221009, People’s Republic of China

*These authors contributed equally to this work

Correspondence: Bin Zhou; Yiwen Liu, Xuzhou Clinical College of Xuzhou Medical University, Xuzhou Central Hospital, No. 199 Jiefang South Road, Xuzhou, 221009, People’s Republic of China, Email zekzj@163.com; 925915472@qq.com

Purpose: Kawasaki disease (KD) is an acute febrile vasculitis and the leading cause of acquired heart disease in children. However, early diagnosis of KD remains challenging, and its pathogenic mechanisms are yet to be fully elucidated. This study utilized Olink Targeted Proteomics to analyze serum protein profiles and identify potential early diagnostic biomarkers for patients with KD.
Methods: Based on febrile children final diagnosis, they were categorized into either the KD group or the febrile control (FC) group. Serum samples from each group were randomly selected and analyzed using the Olink Target 96 Inflammation panel. A retrospective analysis of clinical data was also conducted. By integrating the results of the Olink analysis with clinical data, receiver operating characteristic (ROC) curve analysis was performed to determine the diagnostic potential and critical thresholds of the identified biomarkers.
Results: This study identified 25 differentially expressed proteins, with 18 upregulated and 7 downregulated proteins in the KD group. Using LASSO regression analysis, we identified 5 protein biomarkers, IL-17A, CCL23, SCF, TWEAK, and NT-3, that could be used to distinguish KD from FC. Among these, IL-17A exhibited the greatest fold change. Additionally, a subset of the participants underwent serum cytokine testing within the first 5 days of fever onset during hospitalization. Our retrospective analysis of this clinical data found that IL-17 levels were significantly elevated in children subsequently diagnosed with KD.
Conclusion: Our results suggest that inflammation-associated serum proteins are strongly linked to KD. Among the identified biomarkers, IL-17 family, especially IL-17A, showed the best correlation, providing clinicians with a new potential biomarker for early diagnosis of KD.

Keywords: Kawasaki disease, inflammation, Olink Targeted Proteomics, IL-17A

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