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健康人群和慢性阻塞性肺疾病患者(伴有或不伴有急性加重)血浆炎症生物标志物的变化。

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

机构信息

Department of Pulmonary Medicine, Zhongshan Hospital, Fudan University, Shanghai, 200032, PR China.

出版信息

J Proteomics. 2012 Jun 6;75(10):2835-43. doi: 10.1016/j.jprot.2012.01.027. Epub 2012 Feb 10.

DOI:10.1016/j.jprot.2012.01.027
PMID:22343073
Abstract

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-1F6, 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.

摘要

慢性阻塞性肺疾病(COPD)是导致病死率和发病率的主要原因之一,与吸烟、感染或空气污染引起的急性加重(AECOPD)有关。系统性炎症被认为是 AECOPD 的主要病理生理改变之一。本研究旨在通过整合 AECOPD 炎症介质的蛋白质组学特征与临床和生物信息学,开发特定疾病的生物标志物评估。收集了 18 名受试者的血浆样本,包括健康人或稳定 COPD 或 AECOPD 患者,使用抗体微阵列测量了 507 种炎症介质。临床信息学通过数字评估评分系统(DESS)来评估患者的严重程度。3 组之间有 20 种介质存在显著差异(p<0.05),其中 Cerberus 1、生长激素 R、IL-1F6、IL-17B R、IL-17D、IL-19、淋巴毒素β、MMP-10、血小板生成素和 TLR4 与 DESS 评分相关(p<0.05)。AECOPD 中存在全身炎症反应的下调。蛋白质组学特征与临床信息学的整合作为临床生物信息学的一部分,对于筛选特定疾病和疾病阶段的生物标志物非常重要。本文是特刊题为“蛋白质组学:临床联系”的一部分。

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