Altered fecal microbiome and metabolome in adult patients with non-cystic fibrosis bronchiectasis

作者：Wenwen Wang, Bei Mao, Yang Liu, Shuyi Gu, Hai‐Wen Lu, Jiu-Wu Bai, Shuo Liang, Jia‐Wei Yang, Jianxiong Li, Xiao Su, Haiyang Hu, Chen Wang, Jin‐Fu Xu · 发表于：Respiratory Research · 年份：2022 · DOI：10.1186/s12931-022-02229-w · 被引用次数：24 · 研究领域：Cystic Fibrosis Research Advances、Gut microbiota and health、Chronic Obstructive Pulmonary Disease (COPD) Research

BACKGROUND: Emerging experimental and epidemiological evidence highlights a crucial cross-talk between the intestinal flora and the lungs, termed the "gut-lung axis". However, the function of the gut microbiota in bronchiectasis remains undefined. In this study, we aimed to perform a multi-omics-based approach to identify the gut microbiome and metabolic profiles in patients with bronchiectasis. METHODS: Fecal samples collected from non-CF bronchiectasis patients (BE group, n = 61) and healthy volunteers (HC group, n = 37) were analyzed by 16 S ribosomal RNA (rRNA) sequencing. The BE group was divided into two groups based on their clinical status: acute exacerbation (AE group, n = 31) and stable phase (SP group, n = 30). Further, metabolome (lipid chromatography-mass spectrometry, LC-MS) analyses were conducted in randomly selected patients (n = 29) and healthy volunteers (n = 31). RESULTS: Decreased fecal microbial diversity and differential microbial and metabolic compositions were observed in bronchiectasis patients. Correlation analyses indicated associations between the differential genera and clinical parameters such as bronchiectasis severity index (BSI). Disease-associated gut microbiota was screened out, with eight genera exhibited high accuracy in distinguishing SP patients from HCs in the discovery cohort and validation cohort using a random forest model. Further correlation networks were applied to illustrate the relations connecting disease-associated genera and...