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

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-bas...

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Detalles Bibliográficos
Autores principales: Wang, Wen-Wen, Mao, Bei, Liu, Yang, Gu, Shu-Yi, Lu, Hai-Wen, Bai, Jiu-Wu, Liang, Shuo, Yang, Jia-Wei, Li, Jian-Xiong, Su, Xiao, Hu, Hai-Yang, Wang, Chen, Xu, Jin-Fu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9675243/
https://www.ncbi.nlm.nih.gov/pubmed/36403022
http://dx.doi.org/10.1186/s12931-022-02229-w
Descripción
Sumario: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 metabolites. CONCLUSION: The study uncovered the relationships among the decreased fecal microbial diversity, differential microbial and metabolic compositions in bronchiectasis patients by performing a multi-omics-based approach. It is the first study to characterize the gut microbiome and metabolome in bronchiectasis, and to uncover the gut microbiota’s potentiality as biomarkers for bronchiectasis. Trial registration: This study is registered with ClinicalTrials.gov, number NCT04490447. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12931-022-02229-w.