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

被引:7
|
作者
Zhao, Tian [1 ,2 ]
Zeng, Jingjing [1 ,2 ]
Zhang, Ruijie [1 ,2 ]
Fan, Weinv [3 ]
Guan, Qiongfeng [3 ]
Wang, Han [1 ,2 ]
Pu, Liyuan [1 ,2 ]
Jiang, Yannan [1 ,2 ]
Yang, Huiqun [1 ,2 ]
Wang, Xiaokun [4 ]
Han, Liyuan [1 ,2 ]
机构
[1] Ningbo 2 Hosp, Dept Clin Epidemiol, Ningbo 315000, Peoples R China
[2] Univ Chinese Acad Sci, Ningbo Inst Life & Hlth Ind, Ctr Cardiovasc & Cerebrovasc Epidemiol & Translat, Ningbo 315000, Peoples R China
[3] Ningbo 2 Hosp, Dept Neurol, Ningbo 315000, Peoples R China
[4] Harbin Med Univ, Affiliated Hosp 2, Dept Neurol, Harbin 150081, Peoples R China
基金
中国国家自然科学基金;
关键词
ischemic stroke; immune response; Olink; proteomics; STANNIOCALCIN-1; MASP-1;
D O I
10.1021/acs.jproteome.3c00885
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
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.
引用
收藏
页码:1118 / 1128
页数:11
相关论文
共 50 条
  • [21] Proteomics-based identification of spontaneous regression-associated proteins in neuroblastoma
    Yu, Fang
    Zhu, Xiudan
    Feng, Chen
    Wang, Tianyou
    Hong, Qin
    Liu, Zhoulu
    Tang, Suoqin
    JOURNAL OF PEDIATRIC SURGERY, 2011, 46 (10) : 1948 - 1955
  • [22] Proteomics-Based Identification of Candidate Exosomal Glycoprotein Biomarkers and Their Value for Diagnosing Colorectal Cancer
    Sun, Zujun
    Ji, Shurong
    Wu, Junlu
    Tian, Jiale
    Quan, Wenqiang
    Shang, Anquan
    Ji, Ping
    Xiao, Weidong
    Liu, Ding
    Wang, Xuan
    Li, Dong
    FRONTIERS IN ONCOLOGY, 2021, 11
  • [23] LcProt: Proteomics-based identification of plasma biomarkers for lung cancer multievent, a multicentre study
    Liang, Hengrui
    Wang, Runchen
    Cheng, Ran
    Ye, Zhiming
    Zhao, Na
    Zhao, Xiaohong
    Huang, Ying
    Jiang, Zhanpeng
    Li, Wangzhong
    Zheng, Jianqi
    Deng, Hongsheng
    Jiang, Yu
    Lin, Yuechun
    Yan, Yun
    Song, Lei
    Li, Jie
    Xu, Xin
    Liang, Wenhua
    Liu, Jun
    He, Jianxing
    CLINICAL AND TRANSLATIONAL MEDICINE, 2025, 15 (01):
  • [24] Proteomics-based identification of a group of apoptosis-related proteins and biomarkers in gastric cancer
    Bai, Zhigang
    Ye, Yingjiang
    Liang, Bin
    Xu, Feng
    Zhang, Hui
    Zhang, Yanbin
    Peng, Jiarou
    Shen, Danhua
    Cui, Zhirong
    Zhang, Zhongtao
    Wang, Shan
    INTERNATIONAL JOURNAL OF ONCOLOGY, 2011, 38 (02) : 375 - 383
  • [25] TRAIL Protein Levels are Associated With Response to Acamprosate Therapy in Alcohol Use Disorder: A Proteomics-Based Approach
    Atiq, Mazen
    Zhang, Cheng
    Moon, Irene
    Coombes, Brandon
    Biernacka, Joanna M.
    Skime, Michelle K.
    Choi, Doo-Sup
    Frye, Mark A.
    Oesterle, Tyler
    Karpyak, Victor
    Schmidt, Kristen
    Gliske, Kate
    Ngo, Quyen
    Skillon, Cedric
    Seppala, Marvin
    Li, Hu
    Ho, Ming-Fen
    Weinshilboum, Richard
    BIOLOGICAL PSYCHIATRY, 2022, 91 (09) : S109 - S110
  • [26] Olink Proteomics-Based Exploration of Immuno-Oncology-Related Biomarkers Leading to Lung Adenocarcinoma Progression (vol 23, pg 3764, 2024)
    Yu, Shiwen
    Yang, Liangwei
    Shu, Jianfeng
    Zhao, Tian
    Han, Liyuan
    Cai, Ting
    Zhao, Guofang
    JOURNAL OF PROTEOME RESEARCH, 2025, 24 (02) : 974 - 974
  • [27] Proteomics-Based Identification and Analysis of Proteins Associated with Helicobacter pylori in Gastric Cancer
    Zhou, Jianjiang
    Wang, Wenling
    Xie, Yuan
    Zhao, Yan
    Chen, Xian
    Xu, Wenjie
    Wang, Yan
    Guan, Zhizhong
    PLOS ONE, 2016, 11 (01):
  • [28] Proteomics-based identification of cancer-associated proteins in chronic lymphocytic leukaemia
    Alsagaby, Suliman A.
    Brewis, Ian A.
    Vijayakumar, Rajendran
    Alhumaydhi, Fahad A.
    Alwashmi, Ameen S.
    Alharbi, Naif K.
    Al Abdulmonem, Waleed
    Premanathan, Mariappan
    Pratt, Guy
    Fegan, Christopher
    Pepper, Christopher
    Brennan, Paul
    ELECTRONIC JOURNAL OF BIOTECHNOLOGY, 2021, 52 : 1 - 12
  • [29] Identification of Ischemic Stroke Condition Based on Hemodynamic Biomarkers
    Ahirwar, Dalchand
    Khurana, Dheeraj
    Chowdhury, Shubhajit Roy
    IEEE SENSORS JOURNAL, 2022, 22 (19) : 18944 - 18952
  • [30] Identification of hypoxiaand immune-related biomarkers in patients with ischemic stroke
    Zhang, Haofuzi
    Sun, Jidong
    Zou, Peng
    Huang, Yutao
    Yang, Qiuzi
    Zhang, Zhuoyuan
    Luo, Peng
    Jiang, Xiaofan
    HELIYON, 2024, 10 (04)