Cargando…
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...
Autores principales: | , , , , , , , , , , , , |
---|---|
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 |
_version_ | 1784833330119704576 |
---|---|
author | 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 |
author_facet | 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 |
author_sort | Wang, Wen-Wen |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-9675243 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-96752432022-11-20 Altered fecal microbiome and metabolome in adult patients with non-cystic fibrosis bronchiectasis 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 Respir Res 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 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. BioMed Central 2022-11-19 2022 /pmc/articles/PMC9675243/ /pubmed/36403022 http://dx.doi.org/10.1186/s12931-022-02229-w Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research 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 Altered fecal microbiome and metabolome in adult patients with non-cystic fibrosis bronchiectasis |
title | Altered fecal microbiome and metabolome in adult patients with non-cystic fibrosis bronchiectasis |
title_full | Altered fecal microbiome and metabolome in adult patients with non-cystic fibrosis bronchiectasis |
title_fullStr | Altered fecal microbiome and metabolome in adult patients with non-cystic fibrosis bronchiectasis |
title_full_unstemmed | Altered fecal microbiome and metabolome in adult patients with non-cystic fibrosis bronchiectasis |
title_short | Altered fecal microbiome and metabolome in adult patients with non-cystic fibrosis bronchiectasis |
title_sort | altered fecal microbiome and metabolome in adult patients with non-cystic fibrosis bronchiectasis |
topic | Research |
url | 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 |
work_keys_str_mv | AT wangwenwen alteredfecalmicrobiomeandmetabolomeinadultpatientswithnoncysticfibrosisbronchiectasis AT maobei alteredfecalmicrobiomeandmetabolomeinadultpatientswithnoncysticfibrosisbronchiectasis AT liuyang alteredfecalmicrobiomeandmetabolomeinadultpatientswithnoncysticfibrosisbronchiectasis AT gushuyi alteredfecalmicrobiomeandmetabolomeinadultpatientswithnoncysticfibrosisbronchiectasis AT luhaiwen alteredfecalmicrobiomeandmetabolomeinadultpatientswithnoncysticfibrosisbronchiectasis AT baijiuwu alteredfecalmicrobiomeandmetabolomeinadultpatientswithnoncysticfibrosisbronchiectasis AT liangshuo alteredfecalmicrobiomeandmetabolomeinadultpatientswithnoncysticfibrosisbronchiectasis AT yangjiawei alteredfecalmicrobiomeandmetabolomeinadultpatientswithnoncysticfibrosisbronchiectasis AT lijianxiong alteredfecalmicrobiomeandmetabolomeinadultpatientswithnoncysticfibrosisbronchiectasis AT suxiao alteredfecalmicrobiomeandmetabolomeinadultpatientswithnoncysticfibrosisbronchiectasis AT huhaiyang alteredfecalmicrobiomeandmetabolomeinadultpatientswithnoncysticfibrosisbronchiectasis AT wangchen alteredfecalmicrobiomeandmetabolomeinadultpatientswithnoncysticfibrosisbronchiectasis AT xujinfu alteredfecalmicrobiomeandmetabolomeinadultpatientswithnoncysticfibrosisbronchiectasis |