Division of Molecular and Clinical Medicine and.
Division of Pulmonary, Allergy, and Critical Care Medicine, Department of Internal Medicine, Hallym University Kangnam Sacred Heart Hospital, Seoul, Republic of Korea.
Am J Respir Crit Care Med. 2023 Dec 1;208(11):1166-1176. doi: 10.1164/rccm.202303-0499OC.
Although inflammation and infection are key disease drivers in bronchiectasis, few studies have integrated host inflammatory and microbiome data to guide precision medicine. To identify clusters among patients with bronchiectasis on the basis of inflammatory markers and to assess the association between inflammatory endotypes, microbiome characteristics, and exacerbation risk. Patients with stable bronchiectasis were enrolled at three European centers, and cluster analysis was used to stratify the patients according to the levels of 33 sputum and serum inflammatory markers. Clusters were compared in terms of microbiome composition (16S ribosomal RNA sequencing) and exacerbation risk over a 12-month follow-up. A total of 199 patients were enrolled (109 [54.8%] female; median age, 69 yr). Four clusters of patients were defined according to their inflammatory profiles: cluster 1, milder neutrophilic inflammation; cluster 2, mixed-neutrophilic and type 2; cluster 3, most severe neutrophilic; and cluster 4, mixed-epithelial and type 2. Lower microbiome diversity was associated with more severe inflammatory clusters ( < 0.001), and β-diversity analysis demonstrated distinct microbiome profiles associated with each inflammatory cluster ( = 0.001). Proteobacteria and at phylum and genus levels, respectively, were more enriched in clusters 2 and 3 than in clusters 1 and 4. Furthermore, patients in cluster 2 (rate ratio [RR], 1.49; 95% confidence interval [CI], 1.16-1.92) and cluster 3 (RR, 1.61; 95% CI, 1.12-2.32) were at higher risk of exacerbation over a 12-month follow-up compared with cluster 1, even after adjustment for prior exacerbation history. Bronchiectasis inflammatory endotypes are associated with distinct microbiome profiles and future exacerbation risk.
虽然炎症和感染是支气管扩张症的关键疾病驱动因素,但很少有研究将宿主炎症和微生物组数据整合起来指导精准医学。本研究旨在根据炎症标志物对支气管扩张症患者进行聚类分析,并评估炎症表型、微生物组特征与加重风险之间的相关性。稳定期支气管扩张症患者在欧洲三个中心入组,采用聚类分析根据 33 种痰和血清炎症标志物的水平对患者进行分层。比较了微生物组组成(16S 核糖体 RNA 测序)和 12 个月随访期间的加重风险。共纳入 199 例患者(109 例[54.8%]为女性;中位年龄 69 岁)。根据炎症特征,将患者分为四个炎症表型组:表型 1 为轻度嗜中性粒细胞炎症;表型 2 为混合嗜中性粒细胞和 2 型炎症;表型 3 为最严重的嗜中性粒细胞炎症;表型 4 为混合上皮和 2 型炎症。微生物组多样性与更严重的炎症表型组相关( < 0.001),β多样性分析显示与每个炎症表型组相关的微生物组特征不同( = 0.001)。与表型 1 和表型 4 相比,在表型 2 和表型 3 中,厚壁菌门和属水平的 分别更为丰富。此外,与表型 1 相比,表型 2 (比值比[RR],1.49;95%置信区间[CI],1.16-1.92)和表型 3 (RR,1.61;95% CI,1.12-2.32)患者在 12 个月随访期间发生加重的风险更高,即使在校正既往加重史后也是如此。支气管扩张症炎症表型与独特的微生物组特征和未来加重风险相关。