Selection of disease-specific biomarkers by integrating inflammatory mediators with clinical informatics in AECOPD patients: a preliminary study.
Selection of disease-specific biomarkers by integrating inflammatory mediators with clinical informatics in AECOPD patients: a preliminary study.
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通过在AECOPD患者中将炎症介体与临床信息学相结合：一项初步研究，选择了疾病特异性的生物标志物。
DOI：
10.1111/j.1582-4934.2011.01416.x
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发表时间：
2012-06
影响因子：
5.3
通讯作者：
Wang X
中科院分区：
文献类型：
--
作者：
Chen H;Song Z;Qian M;Bai C;Wang X
全身性炎症是影响慢性阻塞性肺疾病（COPD）及急性加重期（AECOPD）患者预后和质量的主要因素。由于炎症的复杂性，优化疾病特异性生物标志物的鉴定和验证仍然面临着巨大的挑战。本研究旨在通过将炎症介质的蛋白质组学特征与AECOPD患者的临床信息学相结合，开发一种新的特异性生物标志物评估方案，更好地了解它们的功能和信号网络。在入院和出院第1天和第3天（第7-10天）采集健康非吸烟者或稳定型COPD （sCOPD）或AECOPD患者的血浆样本。使用趋化因子多重抗体阵列测量40种趋化因子。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。各组趋化因子数据比较，并采用SPSS软件进行与DESS评分的相关性分析。40种趋化因子中，BTC、IL-9、IL-18Bpa、CCL22、CCL23、CCL25、CCL28、CTACK、LIGHT、MSPa、MCP-3、MCP-4、OPN等30种趋化因子在sCOPD患者与健康对照组之间、16种趋化因子在AECOPD患者与正常对照组之间、13种趋化因子在AECOPD患者与正常对照组之间存在显著差异。其中部分与DESS评分有显著相关。COPD和AECOPD患者的炎症介质具有疾病特异性，可能与患者的临床信息学一起具有潜在的诊断价值。我们的初步研究表明，蛋白质组学与临床信息学的结合可以成为验证和优化疾病特异性生物标志物的新途径。
Systemic inflammation is a major factor influencing the outcome and quality of patient with chronic obstructive pulmonary disease (COPD) and acute exacerbations (AECOPD). Because of the inflammatory complexity, a great challenge is still confronted to optimize the identification and validation of disease-specific biomarkers. This study aimed at developing a new protocol of specific biomarker evaluation by integrating proteomic profiles of inflammatory mediators with clinical informatics in AECOPD patients, understand better their function and signal networks. Plasma samples were collected from healthy non-smokers or patients with stable COPD (sCOPD) or AECOPD on days 1 and 3 of the admission and discharging day (day 7–10). Forty chemokines were measured using a chemokine multiplex antibody array. Clinical informatics was achieved by a Digital Evaluation Score System (DESS) for assessing severity of patients. Chemokine data was compared among different groups and its correlation with DESS scores was performed by SPSS software. Of 40 chemokines, 30 showed significant difference between sCOPD patients and healthy controls, 16 between AECOPD patients and controls and 13 between AECOPD patients and both sCOPD and controls, including BTC, IL-9, IL-18Bpa, CCL22,CCL23, CCL25, CCL28, CTACK, LIGHT, MSPa, MCP-3, MCP-4 and OPN. Of them, some had significant correlation with DESS scores. There is a disease-specific profile of inflammatory mediators in COPD and AECOPD patients which may have a potential diagnostics together with clinical informatics of patients. Our preliminary study suggested that integration of proteomics with clinical informatics can be a new way to validate and optimize disease-special biomarkers.
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影响因子：
3.7
作者：
de Torres JP;Casanova C;Pinto-Plata V;Varo N;Restituto P;Cordoba-Lanus E;Baz-Dávila R;Aguirre-Jaime A;Celli BR
通讯作者：
Celli BR
影响因子：
5.8
作者：
Aldonyte, R;Jansson, L;Janciauskiene, S
通讯作者：
Janciauskiene, S
影响因子：
10
作者：
Pinto-Plata, Victor;Toso, John;Celli, Bartolome
通讯作者：
Celli, Bartolome
影响因子：
10
作者：
Schols, AMWJ;Buurman, WA;Wouters, EFM
通讯作者：
Wouters, EFM
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影响因子：
5.3
作者：
Shen Y;Wang Y;Chen Z;Wang D;Wang X;Jin M;Bai C
通讯作者：
Bai C