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首页> 外文期刊>Thorax: The Journal of the British Thoracic Society >Profiling serum biomarkers in patients with COPD: associations with clinical parameters.
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Profiling serum biomarkers in patients with COPD: associations with clinical parameters.

机译：分析COPD患者的血清生物标志物：与临床参数的关联。

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BACKGROUND: Chronic obstructive pulmonary disease (COPD) is an inflammatory lung disease associated with significant systemic consequences. Recognition of the systemic manifestations has stimulated interest in identifying circulating biomarkers in these patients. A systematic analysis was undertaken of multiple protein analytes in the serum of well characterised patients with COPD and matched controls using novel protein microarray platform (PMP) technology. METHODS: Forty-eight patients (65% men) with COPD (forced expiratory volume in 1 s <55%) and 48 matched controls were studied. Anthropometric parameters, pulmonary function tests, 6-minute walk distance, the BODE index and the number of exacerbations were measured and the association of these outcomes with the baseline levels of 143 serum biomarkers measured by PMP was explored. RESULTS: Thirty biomarker clusters were identified and ranked by computing the predictive value of each cluster for COPD (partial least squares discriminant analysis). Fromthe 19 best predictive clusters, 2-3 biomarkers were selected based on their pathophysiological profile (chemoattractants, inflammation, tissue destruction and repair) and the statistical significance of their relationship with clinically important end points was tested. The selected panel of 24 biomarkers correlated (p<0.01) with forced expiratory volume in 1 s, carbon monoxide transfer factor, 6-minute walk distance, BODE index and exacerbation frequency. CONCLUSION: PMP technology can be useful in identifying potential biomarkers in patients with COPD. Panels of selected serum markers are associated with important clinical predictors of outcome in these patients.
机译：背景：慢性阻塞性肺疾病（COPD）是一种炎症性肺疾病，伴有严重的全身性后果。对全身表现的认识激发了在这些患者中鉴定循环生物标志物的兴趣。使用新型蛋白质微阵列平台（PMP）技术对特征明确的COPD患者和匹配的对照者的血清中的多种蛋白质分析物进行了系统分析。方法：研究了48例COPD患者（65％的男性）COPD（1 s内呼气量小于55％）和48位匹配的对照组。测量人体测量学参数，肺功能测试，6分钟步行距离，BODE指数和加重次数，并探讨这些结果与PMP测定的143种血清生物标志物基线水平的关系。结果：通过计算每个聚类对COPD的预测值（偏最小二乘判别分析），鉴定并排名了30个生物标记聚类。从19个最佳预测簇中，根据其病理生理特征（化学引诱剂，炎症，组织破坏和修复）选择2-3个生物标志物，并测试它们与临床重要终点之间关系的统计学意义。选择的24种生物标记物组与1秒钟内的呼气量，一氧化碳转移因子，6分钟步行距离，BODE指数和恶化频率相关（p <0.01）。结论：PMP技术可用于识别COPD患者的潜在生物标志物。所选血清标志物组与这些患者预后的重要临床预测指标有关。

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