Alterations of plasma inflammatory biomarkers in the healthy and chronic obstructive pulmonary disease patients with or without acute exacerbation

被引:72
|
作者
Chen, Hong [2 ]
Wang, Yaoli [3 ]
Bai, Chunxue [2 ]
Wang, Xiangdong [1 ,2 ]
机构
[1] Fudan Univ, Zhongshan Hosp, Dept Resp Med, Biomed Res Ctr, Shanghai 200032, Peoples R China
[2] Fudan Univ, Zhongshan Hosp, Dept Pulm Med, Shanghai 200032, Peoples R China
[3] Third Mil Med Univ, Daping Hosp, Intens Care Unit, Chongqing 400042, Peoples R China
关键词
Biomarkers; COPD; AECOPD; Clinical bioinformatics; Cytokine microarray; Systemic inflammation; MACROPHAGE-STIMULATING PROTEIN; NF-KAPPA-B; SYSTEMIC INFLAMMATION; IN-VIVO; COPD; FAMILY; EXPRESSION; PROTEOMICS; ANTIBODY; TISSUE;
D O I
10.1016/j.jprot.2012.01.027
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
Chronic obstructive pulmonary disease (COPD) is one of the leading causes of mortally and morbidity, associated with acute exacerbations (AECOPD) resulted from smoking, infection or air pollution. Systemic inflammation has been considered as one of major pathophysiologic alterations in AECOPD. The present study aimed at developing disease-specific biomarker evaluation by integrating proteomic profiles of inflammatory mediators in AECOPD with clinical and biological informatics. Plasma samples from 18 subjects including healthy people or patients with stable COPD or AECOPD were collected to measure 507 inflammatory mediators using antibody microarray. Clinical informatics was achieved by a Digital Evaluation Score System (DESS) for assessing severity of patients. 20 mediators were significantly different between 3 groups (p<0.05), of which, Cerberus 1, Growth Hormone R, IL-1 F6, IL-17B R, IL-17D, IL-19, Lymphotoxin beta, MMP-10, Thrombopoietin and TLR4 were correlated with DESS scores (p<0.05). There was a down-regulation of systemic inflammatory responses in AECOPD. The integration of proteomic profile with clinical informatics as part of clinical bioinformatics is important to screen disease-specific and disease-staged biomarkers. This article is part of a Special Issue entitled: Proteomics: The clinical link. (C) 2012 Elsevier B.V. All rights reserved.
引用
收藏
页码:2835 / 2843
页数:9
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