Han Wang, Tian Zhao, Jingjing Zeng, Liyuan Pu, Huiqun Yang, Jie Liang, Huina Liu, Xiaomeng Wang
{"title":"Serum Immune-Response Protein Biomarkers Based on Olink Technology for Diagnosis of Ischemic Stroke.","authors":"Han Wang, Tian Zhao, Jingjing Zeng, Liyuan Pu, Huiqun Yang, Jie Liang, Huina Liu, Xiaomeng Wang","doi":"10.1021/acs.jproteome.4c00900","DOIUrl":null,"url":null,"abstract":"<p><p>The immune response plays a crucial role in the treatment of ischemic stroke (IS). Our primary objective was to explore immune proteins related to stroke and to develop a noninvasive diagnostic panel. We used the high-throughput Olink immunoassay platform to quantitatively measure 92 proteins in the serum of 88 patients with IS and 88 controls. We first selected feature proteins using least absolute shrinkage and selection operator (LASSO), random forest (RF), and support vector machine (SVM), and then modeled them for external validation of IS. In this study, we found that 53 proteins exhibited significant differences in the IS compared to the control group. We selected GLB1, PRDX5, DDX58, and CLEC4C as potential protein biomarkers to differentiate IS from the control group using LASSO, RF, and SVM. The diagnostic model, which included these four proteins, demonstrated excellent performance in validation data sets, achieving an AUC value of 0.899 (95%CI: 0.848-0.950). Our findings offer valuable insights into both the immune response and the diagnosis of IS. These results offer a novel approach to clinical decision-making in the diagnosis and treatment of IS.</p>","PeriodicalId":48,"journal":{"name":"Journal of Proteome Research","volume":" ","pages":""},"PeriodicalIF":3.8000,"publicationDate":"2025-02-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Proteome Research","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.1021/acs.jproteome.4c00900","RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"BIOCHEMICAL RESEARCH METHODS","Score":null,"Total":0}
引用次数: 0
Abstract
The immune response plays a crucial role in the treatment of ischemic stroke (IS). Our primary objective was to explore immune proteins related to stroke and to develop a noninvasive diagnostic panel. We used the high-throughput Olink immunoassay platform to quantitatively measure 92 proteins in the serum of 88 patients with IS and 88 controls. We first selected feature proteins using least absolute shrinkage and selection operator (LASSO), random forest (RF), and support vector machine (SVM), and then modeled them for external validation of IS. In this study, we found that 53 proteins exhibited significant differences in the IS compared to the control group. We selected GLB1, PRDX5, DDX58, and CLEC4C as potential protein biomarkers to differentiate IS from the control group using LASSO, RF, and SVM. The diagnostic model, which included these four proteins, demonstrated excellent performance in validation data sets, achieving an AUC value of 0.899 (95%CI: 0.848-0.950). Our findings offer valuable insights into both the immune response and the diagnosis of IS. These results offer a novel approach to clinical decision-making in the diagnosis and treatment of IS.
期刊介绍:
Journal of Proteome Research publishes content encompassing all aspects of global protein analysis and function, including the dynamic aspects of genomics, spatio-temporal proteomics, metabonomics and metabolomics, clinical and agricultural proteomics, as well as advances in methodology including bioinformatics. The theme and emphasis is on a multidisciplinary approach to the life sciences through the synergy between the different types of "omics".