Serum Immune-Response Protein Biomarkers Based on Olink Technology for Diagnosis of Ischemic Stroke.

IF 3.6 2区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS Journal of Proteome Research Pub Date : 2025-03-07 Epub Date: 2025-02-03 DOI:10.1021/acs.jproteome.4c00900
Han Wang, Tian Zhao, Jingjing Zeng, Liyuan Pu, Huiqun Yang, Jie Liang, Huina Liu, Xiaomeng Wang
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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.

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基于Olink技术的血清免疫反应蛋白生物标志物诊断缺血性脑卒中。
免疫应答在缺血性脑卒中的治疗中起着至关重要的作用。我们的主要目标是探索与中风相关的免疫蛋白,并开发一种无创诊断面板。我们使用高通量Olink免疫分析平台定量测量了88例IS患者和88例对照组血清中的92种蛋白质。我们首先使用最小绝对收缩和选择算子(LASSO)、随机森林(RF)和支持向量机(SVM)选择特征蛋白,然后对它们进行建模,用于IS的外部验证。在这项研究中,我们发现53个蛋白在IS中与对照组相比表现出显著差异。我们选择GLB1、PRDX5、DDX58和CLEC4C作为潜在的蛋白质生物标志物,使用LASSO、RF和SVM将IS与对照组区分开来。包含这四种蛋白的诊断模型在验证数据集中表现优异,AUC值为0.899 (95%CI: 0.848 ~ 0.950)。我们的发现为免疫反应和IS的诊断提供了有价值的见解。这些结果为IS的诊断和治疗提供了一种新的临床决策方法。
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来源期刊
Journal of Proteome Research
Journal of Proteome Research 生物-生化研究方法
CiteScore
9.00
自引率
4.50%
发文量
251
审稿时长
3 months
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".
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