Cargando…
Dynamic alterations in the lung microbiota in a rat model of lipopolysaccharide-induced acute lung injury
The lung microbiota have been found to be substantially altered in numerous pulmonary disorders, and crosstalk between the host pathophysiology and lung microbiota plays critical roles in the regulation of disease states. The aim of this study was to investigate dynamic changes in the lung microbiot...
Autores principales: | , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8938502/ https://www.ncbi.nlm.nih.gov/pubmed/35314755 http://dx.doi.org/10.1038/s41598-022-08831-8 |
_version_ | 1784672566308241408 |
---|---|
author | Tian, Zhigang Wu, Enqi You, Jia Ma, Gang Jiang, Shenzhen Liu, Yuanyuan Hou, Jia Hou, Sihan Ling, Yaqin Pei, Lingpeng Zheng, Xiwei |
author_facet | Tian, Zhigang Wu, Enqi You, Jia Ma, Gang Jiang, Shenzhen Liu, Yuanyuan Hou, Jia Hou, Sihan Ling, Yaqin Pei, Lingpeng Zheng, Xiwei |
author_sort | Tian, Zhigang |
collection | PubMed |
description | The lung microbiota have been found to be substantially altered in numerous pulmonary disorders, and crosstalk between the host pathophysiology and lung microbiota plays critical roles in the regulation of disease states. The aim of this study was to investigate dynamic changes in the lung microbiota during different stages of acute lung injury and acute respiratory distress syndrome (ALI/ARDS). Rats receiving an intraperitoneal administration of lipopolysaccharide (LPS) were sacrificed at 12 and 48 h after injection, and the hematological parameters, serum cytokine levels, and histological characteristics of the lung tissue and lung microbiota were assessed. After LPS injection, along with fluctuations of systemic cytokine levels and the onset and regression of pulmonary edema, the diversity, components, and functionalities of the pulmonary microbiota underwent significant dynamic changes. The volatility of the α-diversity indices narrowed after LPS injection, and the indices significantly decreased 48 h later. The abundance of 18 genera and functionality of adenosine triphosphate–binding cassette (ABC) transporters, pentose phosphate, and bacterial chemotaxis pathways were found to significantly differ between specified time points. Several significant correlations between the components and functionalities of the lung microbiota and indicative symptoms of ALI/ARDS were also observed. Brevibacterium was correlated with cytokines tumor necrosis factor (TNF)-α, interleukin (IL)-10, and IL-6 and with hematological percentage of neutrophils (NEU%); Wnt, Notch, and chronic myeloid leukemia signaling pathways were correlated with IL-1β; mitogen-activated protein kinase (MAPK) signaling pathway–yeast was correlated with IL-10; and the pathways of ascorbate and aldarate metabolism and basal transcription factors were correlated with platelet-related indicators. The correlations between the lung microbiota and indicative symptoms of ALI/ARDS identified in this study support further investigation into the underlying mechanism of host–microbiota interactions during lung injury and repair. |
format | Online Article Text |
id | pubmed-8938502 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-89385022022-03-28 Dynamic alterations in the lung microbiota in a rat model of lipopolysaccharide-induced acute lung injury Tian, Zhigang Wu, Enqi You, Jia Ma, Gang Jiang, Shenzhen Liu, Yuanyuan Hou, Jia Hou, Sihan Ling, Yaqin Pei, Lingpeng Zheng, Xiwei Sci Rep Article The lung microbiota have been found to be substantially altered in numerous pulmonary disorders, and crosstalk between the host pathophysiology and lung microbiota plays critical roles in the regulation of disease states. The aim of this study was to investigate dynamic changes in the lung microbiota during different stages of acute lung injury and acute respiratory distress syndrome (ALI/ARDS). Rats receiving an intraperitoneal administration of lipopolysaccharide (LPS) were sacrificed at 12 and 48 h after injection, and the hematological parameters, serum cytokine levels, and histological characteristics of the lung tissue and lung microbiota were assessed. After LPS injection, along with fluctuations of systemic cytokine levels and the onset and regression of pulmonary edema, the diversity, components, and functionalities of the pulmonary microbiota underwent significant dynamic changes. The volatility of the α-diversity indices narrowed after LPS injection, and the indices significantly decreased 48 h later. The abundance of 18 genera and functionality of adenosine triphosphate–binding cassette (ABC) transporters, pentose phosphate, and bacterial chemotaxis pathways were found to significantly differ between specified time points. Several significant correlations between the components and functionalities of the lung microbiota and indicative symptoms of ALI/ARDS were also observed. Brevibacterium was correlated with cytokines tumor necrosis factor (TNF)-α, interleukin (IL)-10, and IL-6 and with hematological percentage of neutrophils (NEU%); Wnt, Notch, and chronic myeloid leukemia signaling pathways were correlated with IL-1β; mitogen-activated protein kinase (MAPK) signaling pathway–yeast was correlated with IL-10; and the pathways of ascorbate and aldarate metabolism and basal transcription factors were correlated with platelet-related indicators. The correlations between the lung microbiota and indicative symptoms of ALI/ARDS identified in this study support further investigation into the underlying mechanism of host–microbiota interactions during lung injury and repair. Nature Publishing Group UK 2022-03-21 /pmc/articles/PMC8938502/ /pubmed/35314755 http://dx.doi.org/10.1038/s41598-022-08831-8 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This 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/) . |
spellingShingle | Article Tian, Zhigang Wu, Enqi You, Jia Ma, Gang Jiang, Shenzhen Liu, Yuanyuan Hou, Jia Hou, Sihan Ling, Yaqin Pei, Lingpeng Zheng, Xiwei Dynamic alterations in the lung microbiota in a rat model of lipopolysaccharide-induced acute lung injury |
title | Dynamic alterations in the lung microbiota in a rat model of lipopolysaccharide-induced acute lung injury |
title_full | Dynamic alterations in the lung microbiota in a rat model of lipopolysaccharide-induced acute lung injury |
title_fullStr | Dynamic alterations in the lung microbiota in a rat model of lipopolysaccharide-induced acute lung injury |
title_full_unstemmed | Dynamic alterations in the lung microbiota in a rat model of lipopolysaccharide-induced acute lung injury |
title_short | Dynamic alterations in the lung microbiota in a rat model of lipopolysaccharide-induced acute lung injury |
title_sort | dynamic alterations in the lung microbiota in a rat model of lipopolysaccharide-induced acute lung injury |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8938502/ https://www.ncbi.nlm.nih.gov/pubmed/35314755 http://dx.doi.org/10.1038/s41598-022-08831-8 |
work_keys_str_mv | AT tianzhigang dynamicalterationsinthelungmicrobiotainaratmodeloflipopolysaccharideinducedacutelunginjury AT wuenqi dynamicalterationsinthelungmicrobiotainaratmodeloflipopolysaccharideinducedacutelunginjury AT youjia dynamicalterationsinthelungmicrobiotainaratmodeloflipopolysaccharideinducedacutelunginjury AT magang dynamicalterationsinthelungmicrobiotainaratmodeloflipopolysaccharideinducedacutelunginjury AT jiangshenzhen dynamicalterationsinthelungmicrobiotainaratmodeloflipopolysaccharideinducedacutelunginjury AT liuyuanyuan dynamicalterationsinthelungmicrobiotainaratmodeloflipopolysaccharideinducedacutelunginjury AT houjia dynamicalterationsinthelungmicrobiotainaratmodeloflipopolysaccharideinducedacutelunginjury AT housihan dynamicalterationsinthelungmicrobiotainaratmodeloflipopolysaccharideinducedacutelunginjury AT lingyaqin dynamicalterationsinthelungmicrobiotainaratmodeloflipopolysaccharideinducedacutelunginjury AT peilingpeng dynamicalterationsinthelungmicrobiotainaratmodeloflipopolysaccharideinducedacutelunginjury AT zhengxiwei dynamicalterationsinthelungmicrobiotainaratmodeloflipopolysaccharideinducedacutelunginjury |