He Zhen-Feng, Zhang Xiao-Xian, Pan Cui-Xia, Yi Xin-Zhu, Huang Yan, Chen Chun-Lan, Zha Shan-Shan, Cen Lai-Jian, Cai Han-Qin, Yang Lei, Gao Jia-Qi, Li Hui-Min, Lin Zhen-Hong, Lin Sheng-Zhu, Wang Zhang, Zhong Nan-Shan, Guan Wei-Jie
Department of Allergy and Clinical Immunology Department of Respiratory and Critical Care Medicine State Key Laboratory of Respiratory Diseases National Clinical Research Center for Respiratory Disease National Center for Respiratory Medicine Guangzhou Institute of Respiratory Health First Affiliated Hospital Guangzhou Medical University Guangzhou Guangdong P.R. China.
Institute of Ecological Sciences School of Life Sciences South China Normal University Guangzhou China.
Exploration (Beijing). 2025 May 4;5(4):e20240149. doi: 10.1002/EXP.20240149. eCollection 2025 Aug.
Bronchiectasis frequently co-exists with chronic obstructive pulmonary disease (COPD-bronchiectasis association [CBA]). We compared the microbiota and metabolome of bronchiectasis with (BO) and without airflow obstruction (BNO), COPD, and CBA. We determined how microbiota compositions correlated with clinical characteristics and exacerbations of CBA. We prospectively recruited outpatients with BNO ( = 104), BO ( = 51), COPD ( = 33), and CBA ( = 70). We sampled at stead-state and exacerbation, and profiled sputum microbiota via 16S rRNA sequencing and metabolome via liquid chromatography/mass spectrometry. Sputum microbiota and metabolome profiles of CBA separated from COPD ( < 0.05) but not bronchiectasis, partly driven by Proteobacteria enrichment in CBA. An increasing microbial interaction but not microbiota compositions were identified at exacerbation. Pseudomonadaceae-dominant CBA yielded lower Shannon-Wiener diversity index ( < 0.001), greater bronchiectasis severity ( < 0.05) and higher future exacerbation risk (HR 2.46, 95% CI: 1.34-4.52, < 0.001) than other genera-dominant CBA. We found a clear metabolite discrimination between CBA and COPD. Most of up-regulated metabolites identified in CBA, were amino acids metabolites, which indicated that the accumulation of amino acids metabolites was related to the alteration of airway microbiota. To conclude, airway structural changes, but not airflow limitation, correlate more profoundly with microbiota and metabolome profiles (e.g. partly via Pseudomonadaceae-amino acids metabolism links), shaping clinical outcomes of CBA.
支气管扩张常与慢性阻塞性肺疾病并存(慢性阻塞性肺疾病-支气管扩张关联[CBA])。我们比较了有气流阻塞(BO)和无气流阻塞(BNO)的支气管扩张、慢性阻塞性肺疾病(COPD)以及CBA的微生物群和代谢组。我们确定了微生物群组成与CBA临床特征和急性加重之间的相关性。我们前瞻性招募了BNO(n = 104)、BO(n = 51)、COPD(n = 33)和CBA(n = 70)的门诊患者。我们在稳定期和急性加重期进行采样,通过16S rRNA测序分析痰液微生物群,通过液相色谱/质谱分析代谢组。CBA的痰液微生物群和代谢组谱与COPD分离(P < 0.05),但与支气管扩张未分离,部分原因是CBA中变形菌门富集。在急性加重期发现微生物相互作用增加,但微生物群组成未变。假单胞菌科占主导的CBA比其他属占主导的CBA产生更低的香农-维纳多样性指数(P < 0.001)、更严重的支气管扩张(P < 0.05)和更高的未来急性加重风险(风险比2.46,95%置信区间:1.34 - 4.52,P < 0.001)。我们发现CBA和COPD之间存在明显的代谢物差异。在CBA中鉴定出的大多数上调代谢物是氨基酸代谢物,这表明氨基酸代谢物的积累与气道微生物群的改变有关。总之,气道结构变化而非气流受限与微生物群和代谢组谱的相关性更为深刻(例如部分通过假单胞菌科-氨基酸代谢联系),塑造了CBA的临床结局。