Serum Olink Proteomics-Based Identification of Protein Biomarkers Associated with the Immune Response in Ischemic Stroke

• Published in: Journal of proteome research 2024-03, Vol.23 (3), p.1118-1128
• Main Authors: Zhao, Tian, Zeng, Jingjing, Zhang, Ruijie, Fan, Weinv, Guan, Qiongfeng, Wang, Han, Pu, Liyuan, Jiang, Yannan, Yang, Huiqun, Wang, Xiaokun, Han, Liyuan
• Format: Article
• Language: English
• ISSN: 1535-3893; 1535-3907; 1535-3907
• DOI: 10.1021/acs.jproteome.3c00885

The immune response is considered essential for pathology of ischemic stroke (IS), but it remains unclear which immune response-related proteins exhibit altered expression in IS patients. Here, we used Olink proteomics to examine the expression levels of 92 immune response-related proteins in the sera of IS patients (n = 88) and controls (n = 88), and we found that 59 of these proteins were differentially expressed. Feature variables were screened from the differentially expressed proteins by the least absolute shrinkage and selection operator (LASSO) and the random forest and by determining whether their proteins had an area under the curve (AUC) greater than 0.8. Ultimately, we identified six potential protein biomarkers of IS, namely, MASP1, STC1, HCLS1, CLEC4D, PTH1R, and PIK3AP1, and established a logistic regression model that used these proteins to diagnose IS. The AUCs of the models in the internal validation and the test set were 0.962 (95% confidence interval (CI): 0.895–1.000) and 0.954 (95% CI: 0.884–1.000), respectively, and the same protein detection method was performed in an external independent validation set (AUC: 0.857 (95% CI: 0.801–0.913)). These proteins may play a role in immune regulation via the C-type lectin receptor signaling pathway, the PI3K–AKT signaling pathway, and the B-cell receptor signaling pathway.