基于Olink技术的血清免疫应答蛋白生物标志物用于缺血性卒中诊断
基于Olink技术检测92种免疫蛋白，用于缺血性卒中诊断的生物标志物数据集，含88例患者和88例对照，构建了高精度诊断模型。
基本信息
资源简介
基于Olink技术的血清免疫应答蛋白生物标志物用于缺血性卒中诊断
【数据集背景】
本数据集源站标题为《Serum Immune-Response
Protein Biomarkers Based on
Olink Technology for Diagnosis of Ischemic Stroke》。配套论文《Serum Immune-Response Protein Biomarkers Based on Olink Technology for Diagnosis of Ischemic Stroke》发表于 Journal of Proteome Research（2025），DOI：10.1021/acs.jproteome.4c00900。源站首次发布：2025-02-04。
【数据内容】
源站原始描述：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), a…
【数据结构与技术规格】
文件数 1 个，合计 14.15 KB。pr4c00900_si_002.xlsx：application/vnd.openxmlformats-officedocument.spreadsheetml.sheet，14.15 KB。数据集 DOI：10.1021/acs.jproteome.4c00900.s002。
【主题与分类】
源站学科分类：Biochemistry、Neuroscience、Immunology、Information Systems not elsewhere classified、Mental Health。主题标签：support vector machine、potential protein biomarkers、demonstrated excellent performance、validation data sets、noninvasive diagnostic panel、848 – 0、immune response plays、immune response、external validation、diagnostic model。
【适用方向】
组学数据适用于生物标志物发现与分子分型相关建模研究。
【获取与许可】
源站页面：https://acs.figshare.com/articles/dataset/Serum_Immune-Response_Protein_Biomarkers_Based_on_Olink_Technology_for_Diagnosis_of_Ischemic_Stroke/28340656
使用许可：CC BY-NC 4.0（https://creativecommons.org/licenses/by-nc/4.0/）。
规范引用：Wang, Han; Zhao, Tian; Zeng, Jingjing; Pu, Liyuan; Yang, Huiqun; Liang, Jie; et al. (2025). Serum Immune-Response Protein Biomarkers Based on Olink Technology for Diagnosis of Ischemic Stroke. ACS Publications. Dataset
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使用方式
数据集获取（Figshare）
- 源站标题：Serum Immune-Response
Protein Biomarkers Based on
Olink Technology for Diagnosis of Ischemic Stroke - DOI：10.1021/acs.jproteome.4c00900.s002
- 发布日期：2025-02-04
- 文件数：1 个
- 文件总体积：14.15 KB
- 源站页面：https://acs.figshare.com/articles/dataset/Serum_Immune-Response_Protein_Biomarkers_Based_on_Olink_Technology_for_Diagnosis_of_Ischemic_Stroke/28340656
命令行下载
curl -L -o "pr4c00900_si_002.xlsx" "https://ndownloader.figshare.com/files/52114639"
文件清单
pr4c00900_si_002.xlsx（14.15 KB）
文件总体积 14.15 KB（源站 API 实测）。
数据说明
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.
许可
CC BY-NC 4.0
引用
学术使用请引用 DOI 10.1021/acs.jproteome.4c00900.s002（source: https://acs.figshare.com/articles/dataset/Serum_Immune-Response_Protein_Biomarkers_Based_on_Olink_Technology_for_Diagnosis_of_Ischemic_Stroke/28340656）。
数据缺失？
依托陕西、四川两大基地，我们与超过十家三甲医院建立直接合作关系，覆盖合规授权、采集治理、专业标注、数据交付的全流程，为AI医疗团队提供即拿即用的高质量临床数据。
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