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基于气道和循环自身抗体谱识别 COPD 的临床相关亚组。

Identification of clinically relevant subgroups of COPD based on airway and circulating autoantibody profiles.

机构信息

State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, Guangdong 510120, P.R. China.

State Key Laboratory of Respiratory Disease, Sino‑French Hoffmann Institute, College of Basic Medical Science, Guangzhou Medical University, Guangzhou, Guangdong 511436, P.R. China.

出版信息

Mol Med Rep. 2019 Sep;20(3):2882-2892. doi: 10.3892/mmr.2019.10498. Epub 2019 Jul 12.

Abstract

Autoimmunity may serve a role in the pathological features of a subgroup of patients with chronic obstructive pulmonary disease (COPD); however, in immunological subgroups of COPD patients, the interrelationships between airway and circulating autoantibody responses, and clinical parameters, remain unclear. The present study was undertaken to evaluate these interrelationships in various immunological subgroups of COPD patients. Sputum supernatant and serum obtained from 102 patients with stable COPD were assayed for the presence of immunoglobulin G antibodies against ten autoantigens via Luminex multiplex technology. Hierarchical clustering based on principal components was performed on autoantibody profiles to classify patients into clusters. Network‑based and module analyses were conducted to explore interrelationships among autoantibodies and clinical variables in each cluster. Topological characteristics were compared between clusters. Unsupervised clustering identified four clusters: No significant differences in the majority of clinical characteristics were observed among clusters. In cluster 1, retrospective exacerbation was only positively associated with COPD assessment test score. Lung functions (predicted % of forced expiratory volume in 1 sec and maximal mid‑expiratory flow) were negatively associated with exacerbation risk only in cluster 2. Sputum autoantibodies (against U1 small nuclear ribonucleoprotein, proteinase‑3 and Ro/Sjögren syndrome type A antigen) were negatively associated with exacerbation risks in cluster 2, but positively associated in cluster 3. The four networks also exhibited distinct topological properties. In COPD, autoantibody responses were heterogeneous and differentially associated with exacerbation risk in certain subgroups; their dual character should be considered in future research.

摘要

自身免疫可能在慢性阻塞性肺疾病 (COPD) 患者亚组的病理特征中起作用;然而,在 COPD 患者的免疫亚组中,气道和循环自身抗体反应与临床参数之间的相互关系仍不清楚。本研究旨在评估 COPD 患者不同免疫亚组中这些相互关系。通过 Luminex 多重技术检测 102 例稳定期 COPD 患者的痰液上清液和血清中针对 10 种自身抗原的 IgG 抗体。基于主成分的层次聚类用于对自身抗体图谱进行分类,将患者分为聚类。网络和模块分析用于探索每个聚类中自身抗体与临床变量之间的相互关系。比较了拓扑特征之间的差异。无监督聚类确定了四个聚类:聚类之间观察到大多数临床特征没有显著差异。在聚类 1 中,回顾性加重仅与 COPD 评估测试评分呈正相关。肺功能(预测的 1 秒用力呼气量百分比和最大中期呼气流量)仅在聚类 2 中与加重风险呈负相关。聚类 2 中的痰液自身抗体(针对 U1 小核核糖核蛋白、蛋白酶-3 和 Ro/Sjögren 综合征 A 抗原)与聚类 2 中的加重风险呈负相关,但在聚类 3 中呈正相关。四个网络也表现出不同的拓扑特性。在 COPD 中,自身抗体反应具有异质性,并在某些亚组中与加重风险相关,在未来的研究中应考虑其双重特性。

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