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
  • [41] Proteomics-based identification of HSP60 as a tumor-associated antigen in colorectal cancer
    He, Yujun
    Wu, Yuzhang
    Mou, Zhirong
    Li, Wanlin
    Zou, Liyun
    Fu, Tao
    Zhang, Anping
    Xiang, Debing
    Xiao, Hualiang
    Wang, Xiangfeng
    PROTEOMICS CLINICAL APPLICATIONS, 2007, 1 (03) : 336 - 342
  • [42] Proteomics-based identification of a tumor-associated antigen and its corresponding autoantibody in gastric cancer
    Tsunemi, Soichiro
    Nakanishi, Toyofumi
    Fujita, Yoshihisa
    Bouras, George
    Miyamoto, Yoshiharu
    Miyamoto, Akiko
    Nomura, Eiji
    Takubo, Takayuki
    Tanigawa, Nobuhiko
    ONCOLOGY REPORTS, 2010, 23 (04) : 949 - 956
  • [43] Identification of novel biomarkers and immune infiltration characteristics of ischemic stroke based on comprehensive bioinformatic analysis and machine learning
    Hu, Shiyu
    Cai, Jingjing
    Chen, Sizhan
    Wang, Yang
    Ren, Lijie
    BIOCHEMISTRY AND BIOPHYSICS REPORTS, 2024, 37
  • [44] Proteomics-Based Characterization of the Humoral Immune Response in Sporotrichosis: Toward Discovery of Potential Diagnostic and Vaccine Antigens
    Rodrigues, Anderson Messias
    Fernandes, Geisa Ferreira
    Araujo, Leticia Mendes
    Della Terra, Paula Portella
    dos Santos, Priscila Oliveira
    Pereira, Sandro Antonio
    Pacheco Schubach, Tania Maria
    Burger, Eva
    Lopes-Bezerra, Leila Maria
    de Camargo, Zoilo Pires
    PLOS NEGLECTED TROPICAL DISEASES, 2015, 9 (08):
  • [45] IDENTIFICATION OF SERUM PROTEIN BIOMARKERS ASSOCIATED WITH RA DISEASE SEVERITY
    Galbraith, D.
    Caliskan, M.
    Jabado, O.
    Hu, S.
    Fleischmann, R.
    Weinblatt, M.
    Connolly, S.
    Maldonado, M. A.
    Gao, S.
    ANNALS OF THE RHEUMATIC DISEASES, 2020, 79 : 887 - 888
  • [46] High-throughput serum proteomics for the identification of protein biomarkers of mortality in older men
    Orwoll, Eric S.
    Wiedrick, Jack
    Jacobs, Jon
    Baker, Erin S.
    Piehowski, Paul
    Petyuk, Vladislav
    Gao, Yuqian
    Shi, Tujin
    Smith, Richard D.
    Bauer, Douglas C.
    Cummings, Steven R.
    Nielson, Carrie M.
    Lapidus, Jodi
    AGING CELL, 2018, 17 (02)
  • [47] Identification of serum biomarkers for necrotizing enterocolitis using aptamer-based proteomics
    Mackay, Stephen
    Frazer, Lauren C.
    Bailey, Grace K.
    Miller, Claire M.
    Gong, Qingqing
    Dewitt, Olivia N.
    Singh, Dhirendra K.
    Good, Misty
    FRONTIERS IN PEDIATRICS, 2023, 11
  • [48] Plasma proteomics-based biomarkers for predicting response to mesenchymal stem cell therapy in severe COVID-19
    Li, Tian-Tian
    Yao, Wei-Qi
    Dong, Hai-Bo
    Wang, Ze-Rui
    Zhang, Zi-Ying
    Yuan, Meng-Qi
    Shi, Lei
    Wang, Fu-Sheng
    STEM CELL RESEARCH & THERAPY, 2023, 14 (01)
  • [49] Proteomics-based identification of low-abundance signaling and regulatory protein complexes in native plant tissues
    Cezary Smaczniak
    Na Li
    Sjef Boeren
    Twan America
    Walter van Dongen
    Soenita S Goerdayal
    Sacco de Vries
    Gerco C Angenent
    Kerstin Kaufmann
    Nature Protocols, 2012, 7 : 2144 - 2158
  • [50] Profile identification of disease-associated humoral antigens using AMIDA, a novel proteomics-based technology
    O. Gires
    M. Münz
    M. Schaffrik
    C. Kieu
    J. Rauch
    M. Ahlemann
    D. Eberle
    B. Mack
    B. Wollenberg
    S. Lang
    T. Hofmann
    W. Hammerschmidt
    R. Zeidler
    Cellular and Molecular Life Sciences CMLS, 2004, 61 : 1198 - 1207