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COPD 患者中性粒细胞炎症、组织损伤和修复的系统性生物标志物与疾病严重程度的不同。

Systemic biomarkers of neutrophilic inflammation, tissue injury and repair in COPD patients with differing levels of disease severity.

机构信息

Inflammation Disease Therapy Area, Hoffmann-La Roche, Nutley, New Jersey, United States of America.

出版信息

PLoS One. 2012;7(6):e38629. doi: 10.1371/journal.pone.0038629. Epub 2012 Jun 12.

Abstract

The identification and validation of biomarkers to support the assessment of novel therapeutics for COPD continues to be an important area of research. The aim of the current study was to identify systemic protein biomarkers correlated with measures of COPD severity, as well as specific protein signatures associated with comorbidities such as metabolic syndrome. 142 protein analytes were measured in serum of 140 patients with stable COPD, 15 smokers without COPD and 30 non-smoking controls. Seven analytes (sRAGE, EN-RAGE, NGAL, Fibrinogen, MPO, TGF-α and HB-EGF) showed significant differences between severe/very severe COPD, mild/moderate COPD, smoking and non-smoking control groups. Within the COPD subjects, univariate and multivariate analyses identified analytes significantly associated with FEV(1), FEV(1)/FVC and DLCO. Most notably, a set of 5 analytes (HB-EGF, Fibrinogen, MCP-4, sRAGE and Sortilin) predicted 21% of the variability in DLCO values. To determine common functions/pathways, analytes were clustered in a correlation network by similarity of expression profile. While analytes related to neutrophil function (EN-RAGE, NGAL, MPO) grouped together to form a cluster associated with FEV(1) related parameters, analytes related to the EGFR pathway (HB-EGF, TGF-α) formed another cluster associated with both DLCO and FEV(1) related parameters. Associations of Fibrinogen with DLCO and MPO with FEV(1)/FVC were stronger in patients without metabolic syndrome (r  =  -0.52, p  =  0.005 and r  =  -0.61, p =  0.023, respectively) compared to patients with coexisting metabolic syndrome (r  =  -0.25, p  =  0.47 and r  =  -0.15, p  =  0.96, respectively), and may be driving overall associations in the general cohort. In summary, our study has identified known and novel serum protein biomarkers and has demonstrated specific associations with COPD disease severity, FEV(1), FEV(1)/FVC and DLCO. These data highlight systemic inflammatory pathways, neutrophil activation and epithelial tissue injury/repair processes as key pathways associated with COPD.

摘要

识别和验证生物标志物以支持评估 COPD 的新型疗法仍然是一个重要的研究领域。本研究的目的是确定与 COPD 严重程度相关的系统蛋白生物标志物,以及与代谢综合征等合并症相关的特定蛋白特征。在 140 名稳定 COPD 患者、15 名无 COPD 的吸烟者和 30 名不吸烟的对照者的血清中测量了 142 种蛋白分析物。七种分析物(sRAGE、EN-RAGE、NGAL、纤维蛋白原、MPO、TGF-α 和 HB-EGF)在严重/非常严重 COPD、轻度/中度 COPD、吸烟和不吸烟对照组之间显示出显著差异。在 COPD 受试者中,单变量和多变量分析确定了与 FEV(1)、FEV(1)/FVC 和 DLCO 显著相关的分析物。值得注意的是,一组 5 种分析物(HB-EGF、纤维蛋白原、MCP-4、sRAGE 和 Sortilin)预测了 DLCO 值变化的 21%。为了确定常见的功能/途径,通过表达谱的相似性将分析物聚类在相关网络中。虽然与中性粒细胞功能相关的分析物(EN-RAGE、NGAL、MPO)聚集在一起形成与 FEV(1)相关参数相关的簇,但与 EGFR 途径相关的分析物(HB-EGF、TGF-α)形成另一个与 DLCO 和 FEV(1)相关参数相关的簇。纤维蛋白原与 DLCO 和 MPO 与 FEV(1)/FVC 的相关性在无代谢综合征的患者中更强(r = -0.52,p = 0.005 和 r = -0.61,p = 0.023,分别)与合并代谢综合征的患者相比(r = -0.25,p = 0.47 和 r = -0.15,p = 0.96,分别),并且可能是在一般队列中驱动整体相关性的因素。总之,我们的研究已经确定了已知和新型的血清蛋白生物标志物,并证明了与 COPD 疾病严重程度、FEV(1)、FEV(1)/FVC 和 DLCO 之间的特定关联。这些数据突出了系统炎症途径、中性粒细胞激活和上皮组织损伤/修复过程作为与 COPD 相关的关键途径。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c0bb/3373533/54f47058d82f/pone.0038629.g001.jpg

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