Endotyping Chronic Obstructive Pulmonary Disease, Bronchiectasis, and the “Chronic Obstructive Pulmonary Disease–Bronchiectasis Association”

医学 支气管扩张 慢性阻塞性肺病 微生物群 肺病 蛋白质组 队列 内科学 队列研究 免疫学 鉴别诊断 扩增子测序 蛋白质组学 疾病 粘蛋白 病理 病例对照研究 阻塞性肺病 呼吸道疾病 混淆
作者
Jeffrey T.-J. Huang,Erin Cant,Holly R. Keir,Alun K. Barton,Elena Kuzmanova,Morven Shuttleworth,Jennifer Pollock,Simon Finch,Eva Polverino,Mathieu Bottier,Alison J. Dicker,Amelia Shoemark,James D. Chalmers
出处
期刊:American Journal of Respiratory and Critical Care Medicine [American Thoracic Society]
卷期号:206 (4): 417-426 被引量:112
标识
DOI:10.1164/rccm.202108-1943oc
摘要

Abstract Rationale Bronchiectasis and chronic obstructive pulmonary disease (COPD) are two disease entities with overlapped clinical features, and codiagnosis frequently occurs (termed the “COPD–bronchiectasis association”). Objectives To investigate the sputum microbiome and proteome in patients with bronchiectasis, COPD, and the COPD–bronchiectasis association with the aim of identifying endotypes that may inform treatment. Methods Sputum microbiome and protein profiling were carried out using 16S rRNA amplicon sequencing and a label-free proteomics workflow, respectively, in a cohort comprising patients with COPD (n = 43), bronchiectasis (n = 30), and the COPD–bronchiectasis association (n = 48). Results were validated in an independent cohort of 91 patients (n = 28–31 each group) using targeted measurements of inflammatory markers, mucins, and bacterial culture. Measurements and Main Results Principal component analysis of sputum microbiome and protein profiles showed a partial separation between the COPD and the “COPD–bronchiectasis association” group. Further analyses revealed that patients with the “COPD–bronchiectasis association” had a higher abundance of proteobacteria, higher expression of mucin-5AC and proteins from the “neutrophil degranulation” pathway compared to those with COPD. In contrast, patients with COPD had an elevated expression of mucin-5B and several peptidase inhibitors, higher abundance of common commensal taxa, and a greater microbiome diversity. The profiles of “COPD–bronchiectasis association” and bronchiectasis groups were largely overlapping. Five endotypes were proposed with differential inflammatory, mucin, and microbiological features. The key features related to the “COPD–bronchiectasis association” were validated in an independent cohort. Conclusions Neutrophilic inflammation, differential mucin expression, and Gram-negative infection are dominant traits in patients with the “COPD–bronchiectasis association.”
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