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Potential Association Between Changes in Microbiota Level and Lung Diseases: A Meta-Analysis
OBJECTIVE: Lung microbiota is increasingly implicated in multiple types of respiratory diseases. However, no study has drawn a consistent conclusion regarding the relationship between changes in the microbial community and lung diseases. This study verifies the association between microbiota level a...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2022
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8795898/ https://www.ncbi.nlm.nih.gov/pubmed/35096850 http://dx.doi.org/10.3389/fmed.2021.723635 |
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author | Chai, Lan Wang, Qi Si, Caijuan Gao, Wenyan Zhang, Lun |
author_facet | Chai, Lan Wang, Qi Si, Caijuan Gao, Wenyan Zhang, Lun |
author_sort | Chai, Lan |
collection | PubMed |
description | OBJECTIVE: Lung microbiota is increasingly implicated in multiple types of respiratory diseases. However, no study has drawn a consistent conclusion regarding the relationship between changes in the microbial community and lung diseases. This study verifies the association between microbiota level and lung diseases by performing a meta-analysis. METHODS: Literature databases, including PubMed, ISI Web of Science, Embase, Google Scholar, PMC, and CNKI, were used to collect related articles published before March 20, 2021. The standard mean deviation (SMD) and related 95% confidence intervals (CIs) were calculated using a random-effects model. Subgroup, sensitivity, and publication bias analyses were also conducted. RESULTS: Six studies, comprising 695 patients with lung diseases and 176 healthy individuals, were included in this meta-analysis. The results indicated that the microbiota level was higher in patients with lung diseases than in healthy individuals (SMD = 0.39, 95% CI = 0.22–0.55, I(2) = 91.5%, P < 0.01). Subgroup analysis based on country demonstrated that the microbiota level was significantly higher in Chinese (SMD = 1.90, 95% CI = 0.87–2.93, I(2) = 62.3%, P < 0.01) and Korean (SMD = 0.24, 95% CI = 0.13–0.35, I(2) = 78.7%, P < 0.01) patients with lung diseases. The microbiota level of patients with idiopathic pulmonary fibrosis (IPF) (SMD = 1.40, 95% CI = 0.42–2.38, I(2) = 97.3%, P = 0.005), chronic obstructive pulmonary disease (COPD) (SMD = 0.30, 95% CI = 0.09–0.50, I(2) = 83.9%, P = 0.004), and asthma (SMD = 0.19, 95% CI = 0.06–0.32, I(2) = 69.4%, P = 0.004) were significantly higher than those of the healthy group, whereas a lower microbiota level was found in patients with chronic hypersensitivity pneumonitis (CHP). The microbiota level significantly increased when the disease sample size was >50. Subgroup analysis based on different microbiota genera, indicated that Acinetobacter baumannii and Pseudomonas aeruginosa were significantly increased in COPD and asthma diseases. CONCLUSION: We observed that patients with IPF, COPD, and asthma had a higher microbiota level, whereas patients with CHP had a lower microbiota level compared to the healthy individuals. The level of A. baumannii and P. aeruginosa were significantly higher in patients with COPD and asthma, and thus represented as potential microbiota markers in the diagnosis and treatment of lung diseases. |
format | Online Article Text |
id | pubmed-8795898 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-87958982022-01-29 Potential Association Between Changes in Microbiota Level and Lung Diseases: A Meta-Analysis Chai, Lan Wang, Qi Si, Caijuan Gao, Wenyan Zhang, Lun Front Med (Lausanne) Medicine OBJECTIVE: Lung microbiota is increasingly implicated in multiple types of respiratory diseases. However, no study has drawn a consistent conclusion regarding the relationship between changes in the microbial community and lung diseases. This study verifies the association between microbiota level and lung diseases by performing a meta-analysis. METHODS: Literature databases, including PubMed, ISI Web of Science, Embase, Google Scholar, PMC, and CNKI, were used to collect related articles published before March 20, 2021. The standard mean deviation (SMD) and related 95% confidence intervals (CIs) were calculated using a random-effects model. Subgroup, sensitivity, and publication bias analyses were also conducted. RESULTS: Six studies, comprising 695 patients with lung diseases and 176 healthy individuals, were included in this meta-analysis. The results indicated that the microbiota level was higher in patients with lung diseases than in healthy individuals (SMD = 0.39, 95% CI = 0.22–0.55, I(2) = 91.5%, P < 0.01). Subgroup analysis based on country demonstrated that the microbiota level was significantly higher in Chinese (SMD = 1.90, 95% CI = 0.87–2.93, I(2) = 62.3%, P < 0.01) and Korean (SMD = 0.24, 95% CI = 0.13–0.35, I(2) = 78.7%, P < 0.01) patients with lung diseases. The microbiota level of patients with idiopathic pulmonary fibrosis (IPF) (SMD = 1.40, 95% CI = 0.42–2.38, I(2) = 97.3%, P = 0.005), chronic obstructive pulmonary disease (COPD) (SMD = 0.30, 95% CI = 0.09–0.50, I(2) = 83.9%, P = 0.004), and asthma (SMD = 0.19, 95% CI = 0.06–0.32, I(2) = 69.4%, P = 0.004) were significantly higher than those of the healthy group, whereas a lower microbiota level was found in patients with chronic hypersensitivity pneumonitis (CHP). The microbiota level significantly increased when the disease sample size was >50. Subgroup analysis based on different microbiota genera, indicated that Acinetobacter baumannii and Pseudomonas aeruginosa were significantly increased in COPD and asthma diseases. CONCLUSION: We observed that patients with IPF, COPD, and asthma had a higher microbiota level, whereas patients with CHP had a lower microbiota level compared to the healthy individuals. The level of A. baumannii and P. aeruginosa were significantly higher in patients with COPD and asthma, and thus represented as potential microbiota markers in the diagnosis and treatment of lung diseases. Frontiers Media S.A. 2022-01-14 /pmc/articles/PMC8795898/ /pubmed/35096850 http://dx.doi.org/10.3389/fmed.2021.723635 Text en Copyright © 2022 Chai, Wang, Si, Gao and Zhang. 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 | Medicine Chai, Lan Wang, Qi Si, Caijuan Gao, Wenyan Zhang, Lun Potential Association Between Changes in Microbiota Level and Lung Diseases: A Meta-Analysis |
title | Potential Association Between Changes in Microbiota Level and Lung Diseases: A Meta-Analysis |
title_full | Potential Association Between Changes in Microbiota Level and Lung Diseases: A Meta-Analysis |
title_fullStr | Potential Association Between Changes in Microbiota Level and Lung Diseases: A Meta-Analysis |
title_full_unstemmed | Potential Association Between Changes in Microbiota Level and Lung Diseases: A Meta-Analysis |
title_short | Potential Association Between Changes in Microbiota Level and Lung Diseases: A Meta-Analysis |
title_sort | potential association between changes in microbiota level and lung diseases: a meta-analysis |
topic | Medicine |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8795898/ https://www.ncbi.nlm.nih.gov/pubmed/35096850 http://dx.doi.org/10.3389/fmed.2021.723635 |
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