Cargando…
Gut Microbiome Was Highly Related to the Regulation of Metabolism in Lung Adenocarcinoma Patients
BACKGROUND: Lung adenocarcinoma (LUAD) is one of the most predominant subtypes of lung cancer. The gut microbiome plays a vital role in the pathophysiological processes of various diseases, including cancers. METHODS: In the study, 100 individuals were enrolled. In total 75 stool and blood samples w...
Autores principales: | , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9113755/ https://www.ncbi.nlm.nih.gov/pubmed/35592677 http://dx.doi.org/10.3389/fonc.2022.790467 |
_version_ | 1784709637784731648 |
---|---|
author | Wang, Sheng Chen, Huachun Yang, Huizhen Zhou, Kejin Bai, Fan Wu, Xiaoyu Xu, Hanwen |
author_facet | Wang, Sheng Chen, Huachun Yang, Huizhen Zhou, Kejin Bai, Fan Wu, Xiaoyu Xu, Hanwen |
author_sort | Wang, Sheng |
collection | PubMed |
description | BACKGROUND: Lung adenocarcinoma (LUAD) is one of the most predominant subtypes of lung cancer. The gut microbiome plays a vital role in the pathophysiological processes of various diseases, including cancers. METHODS: In the study, 100 individuals were enrolled. In total 75 stool and blood samples were analyzed with 16s-rRNA gene sequencing and metabolomics (30 from healthy individuals (H); 45 from LUAD patients). In addition, 25 stool samples were analyzed with metagenomics (10 from H; 15 from LUAD). The linear discriminant analysis (LDA) effect size (LefSe) and logistic regression analysis were applied to identify biomarkers’ taxa and develop a diagnostic model. The diagnostic power of the model was estimated with the receiver operating characteristic curve (ROC) by comparing the area under the ROC (AUC). The correlation between biomarker’s taxa and metabolites was calculated using the Spearman analysis. RESULTS: The α and β diversity demonstrated the composition and structure of the gut microbiome in LUAD patients were different from those in healthy people. The top three abundance of genera were Bacteroides (25.06%), Faecalibacterium (11.00%), and Prevotella (5.94%). The LefSe and logistic regression analysis identified three biomarker taxa (Bacteroides, Pseudomonas, and Ruminococcus gnavus group) and constructed a diagnostic model. The AUCs of the diagnostic model in 16s-rRNA gene sequencing and metagenomics were 0.852 and 0.841, respectively. A total of 102 plasma metabolites were highly related to those three biomarkers’ taxa. Seven metabolic pathways were enriched by 102 plasma metabolites, including the Pentose phosphate pathway, Glutathione metabolism. CONCLUSIONS: In LUAD patients, the gut microbiome profile has significantly changed. We used three biomarkers taxa to develop a diagnostic model, which was accurate and suitable for the diagnosis of LUAD. Gut microbes, especially those three biomarkers’ taxa, may participate in regulating metabolism-related pathways in LUAD patients, such as the pentose phosphate pathway and glutathione metabolism. |
format | Online Article Text |
id | pubmed-9113755 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-91137552022-05-18 Gut Microbiome Was Highly Related to the Regulation of Metabolism in Lung Adenocarcinoma Patients Wang, Sheng Chen, Huachun Yang, Huizhen Zhou, Kejin Bai, Fan Wu, Xiaoyu Xu, Hanwen Front Oncol Oncology BACKGROUND: Lung adenocarcinoma (LUAD) is one of the most predominant subtypes of lung cancer. The gut microbiome plays a vital role in the pathophysiological processes of various diseases, including cancers. METHODS: In the study, 100 individuals were enrolled. In total 75 stool and blood samples were analyzed with 16s-rRNA gene sequencing and metabolomics (30 from healthy individuals (H); 45 from LUAD patients). In addition, 25 stool samples were analyzed with metagenomics (10 from H; 15 from LUAD). The linear discriminant analysis (LDA) effect size (LefSe) and logistic regression analysis were applied to identify biomarkers’ taxa and develop a diagnostic model. The diagnostic power of the model was estimated with the receiver operating characteristic curve (ROC) by comparing the area under the ROC (AUC). The correlation between biomarker’s taxa and metabolites was calculated using the Spearman analysis. RESULTS: The α and β diversity demonstrated the composition and structure of the gut microbiome in LUAD patients were different from those in healthy people. The top three abundance of genera were Bacteroides (25.06%), Faecalibacterium (11.00%), and Prevotella (5.94%). The LefSe and logistic regression analysis identified three biomarker taxa (Bacteroides, Pseudomonas, and Ruminococcus gnavus group) and constructed a diagnostic model. The AUCs of the diagnostic model in 16s-rRNA gene sequencing and metagenomics were 0.852 and 0.841, respectively. A total of 102 plasma metabolites were highly related to those three biomarkers’ taxa. Seven metabolic pathways were enriched by 102 plasma metabolites, including the Pentose phosphate pathway, Glutathione metabolism. CONCLUSIONS: In LUAD patients, the gut microbiome profile has significantly changed. We used three biomarkers taxa to develop a diagnostic model, which was accurate and suitable for the diagnosis of LUAD. Gut microbes, especially those three biomarkers’ taxa, may participate in regulating metabolism-related pathways in LUAD patients, such as the pentose phosphate pathway and glutathione metabolism. Frontiers Media S.A. 2022-05-03 /pmc/articles/PMC9113755/ /pubmed/35592677 http://dx.doi.org/10.3389/fonc.2022.790467 Text en Copyright © 2022 Wang, Chen, Yang, Zhou, Bai, Wu and Xu https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Oncology Wang, Sheng Chen, Huachun Yang, Huizhen Zhou, Kejin Bai, Fan Wu, Xiaoyu Xu, Hanwen Gut Microbiome Was Highly Related to the Regulation of Metabolism in Lung Adenocarcinoma Patients |
title | Gut Microbiome Was Highly Related to the Regulation of Metabolism in Lung Adenocarcinoma Patients |
title_full | Gut Microbiome Was Highly Related to the Regulation of Metabolism in Lung Adenocarcinoma Patients |
title_fullStr | Gut Microbiome Was Highly Related to the Regulation of Metabolism in Lung Adenocarcinoma Patients |
title_full_unstemmed | Gut Microbiome Was Highly Related to the Regulation of Metabolism in Lung Adenocarcinoma Patients |
title_short | Gut Microbiome Was Highly Related to the Regulation of Metabolism in Lung Adenocarcinoma Patients |
title_sort | gut microbiome was highly related to the regulation of metabolism in lung adenocarcinoma patients |
topic | Oncology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9113755/ https://www.ncbi.nlm.nih.gov/pubmed/35592677 http://dx.doi.org/10.3389/fonc.2022.790467 |
work_keys_str_mv | AT wangsheng gutmicrobiomewashighlyrelatedtotheregulationofmetabolisminlungadenocarcinomapatients AT chenhuachun gutmicrobiomewashighlyrelatedtotheregulationofmetabolisminlungadenocarcinomapatients AT yanghuizhen gutmicrobiomewashighlyrelatedtotheregulationofmetabolisminlungadenocarcinomapatients AT zhoukejin gutmicrobiomewashighlyrelatedtotheregulationofmetabolisminlungadenocarcinomapatients AT baifan gutmicrobiomewashighlyrelatedtotheregulationofmetabolisminlungadenocarcinomapatients AT wuxiaoyu gutmicrobiomewashighlyrelatedtotheregulationofmetabolisminlungadenocarcinomapatients AT xuhanwen gutmicrobiomewashighlyrelatedtotheregulationofmetabolisminlungadenocarcinomapatients |