Impact of variations in airborne microbiota on pneumonia infection: An exploratory study
Background: Previous studies showed airborne bacteria affect pneumonia incidence, but specific impacts of bacterial communities on Klebsiella pneumoniae infection were unknown. Methods: Five different ratios of bacterial community structures were randomly generated. Mice were divided into control, a...
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Elsevier
2025-02-01
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| Series: | Ecotoxicology and Environmental Safety |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S0147651325001319 |
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| author | Li Zhou Chenchen Song Lianlian Zhao Zhi Guo Yuhan Lei Yunlin Han Kai Gao Yanfeng Xu Zhiguang Xiang Baicun Li Jianguo Guo |
| author_facet | Li Zhou Chenchen Song Lianlian Zhao Zhi Guo Yuhan Lei Yunlin Han Kai Gao Yanfeng Xu Zhiguang Xiang Baicun Li Jianguo Guo |
| author_sort | Li Zhou |
| collection | DOAJ |
| description | Background: Previous studies showed airborne bacteria affect pneumonia incidence, but specific impacts of bacterial communities on Klebsiella pneumoniae infection were unknown. Methods: Five different ratios of bacterial community structures were randomly generated. Mice were divided into control, artificial bacterial community exposure, and corresponding Klebsiella pneumoniae challenge groups. Changes in body weight, blood parameters, pulmonary pathology, inflammatory factors, metabolomics, and fecal microbiota were analyzed. Results: Different bacterial community exposures had varying degrees of influence on body weight, complete blood count, inflammatory factors, alveolar lavage fluid and plasma metabolome, as well as intestinal microbiota at baseline and after infection. Metabolomic analysis showed that microbial exposure affected both bronchoalveolar lavage fluid and plasma metabolomes, suggesting systemic effects of microbial exposure on the organism. Differences in the structure of artificial microbiota had inconsistent effects on both the baseline state and the post-infection state, hinting at crosstalk between microbial exposure and Klebsiella pneumoniae infection. KEGG pathway analysis unveiled possible molecular mechanisms underlying the overall impact of microbial exposure on the lungs and the body as a whole. In the intestinal microbiota, differences were found in composition at the phylum and genus levels. Spearman correlation analysis established potential correlations between intestinal microbiota and differential metabolites, suggesting a potential link within the lung-gut axis. Conclusion: This study demonstrated the significant and systemic impact of air microbiota structure differences on health. Future research should explore the underlying mechanisms to enhance our understanding of the air-environment-health relationship and identify interventions for improving public health strategies. |
| format | Article |
| id | doaj-art-60422414bd4d4a03bf636412a6c4d8dc |
| institution | Kabale University |
| issn | 0147-6513 |
| language | English |
| publishDate | 2025-02-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Ecotoxicology and Environmental Safety |
| spelling | doaj-art-60422414bd4d4a03bf636412a6c4d8dc2025-01-31T05:09:59ZengElsevierEcotoxicology and Environmental Safety0147-65132025-02-01291117795Impact of variations in airborne microbiota on pneumonia infection: An exploratory studyLi Zhou0Chenchen Song1Lianlian Zhao2Zhi Guo3Yuhan Lei4Yunlin Han5Kai Gao6Yanfeng Xu7Zhiguang Xiang8Baicun Li9Jianguo Guo10National Human Diseases Animal Model Resource Center, National Center of Technology Innovation for animal model, State Key Laboratory of Respiratory Health and Multimorbidity, NHC Key Laboratory of Comparative Medicine, Beijing Key Laboratory for Animal Models of Emerging and Reemerging Infectious Diseases, Beijing Engineering Research Center for Experimental Animal Models of Human Critical Diseases, Institute of Laboratory Animal Science, CAMS & PUMC, Beijing, ChinaNational Human Diseases Animal Model Resource Center, National Center of Technology Innovation for animal model, State Key Laboratory of Respiratory Health and Multimorbidity, NHC Key Laboratory of Comparative Medicine, Beijing Key Laboratory for Animal Models of Emerging and Reemerging Infectious Diseases, Beijing Engineering Research Center for Experimental Animal Models of Human Critical Diseases, Institute of Laboratory Animal Science, CAMS & PUMC, Beijing, ChinaNational Human Diseases Animal Model Resource Center, National Center of Technology Innovation for animal model, State Key Laboratory of Respiratory Health and Multimorbidity, NHC Key Laboratory of Comparative Medicine, Beijing Key Laboratory for Animal Models of Emerging and Reemerging Infectious Diseases, Beijing Engineering Research Center for Experimental Animal Models of Human Critical Diseases, Institute of Laboratory Animal Science, CAMS & PUMC, Beijing, ChinaNational Human Diseases Animal Model Resource Center, National Center of Technology Innovation for animal model, State Key Laboratory of Respiratory Health and Multimorbidity, NHC Key Laboratory of Comparative Medicine, Beijing Key Laboratory for Animal Models of Emerging and Reemerging Infectious Diseases, Beijing Engineering Research Center for Experimental Animal Models of Human Critical Diseases, Institute of Laboratory Animal Science, CAMS & PUMC, Beijing, ChinaNational Human Diseases Animal Model Resource Center, National Center of Technology Innovation for animal model, State Key Laboratory of Respiratory Health and Multimorbidity, NHC Key Laboratory of Comparative Medicine, Beijing Key Laboratory for Animal Models of Emerging and Reemerging Infectious Diseases, Beijing Engineering Research Center for Experimental Animal Models of Human Critical Diseases, Institute of Laboratory Animal Science, CAMS & PUMC, Beijing, ChinaNational Human Diseases Animal Model Resource Center, National Center of Technology Innovation for animal model, State Key Laboratory of Respiratory Health and Multimorbidity, NHC Key Laboratory of Comparative Medicine, Beijing Key Laboratory for Animal Models of Emerging and Reemerging Infectious Diseases, Beijing Engineering Research Center for Experimental Animal Models of Human Critical Diseases, Institute of Laboratory Animal Science, CAMS & PUMC, Beijing, ChinaNational Human Diseases Animal Model Resource Center, National Center of Technology Innovation for animal model, State Key Laboratory of Respiratory Health and Multimorbidity, NHC Key Laboratory of Comparative Medicine, Beijing Key Laboratory for Animal Models of Emerging and Reemerging Infectious Diseases, Beijing Engineering Research Center for Experimental Animal Models of Human Critical Diseases, Institute of Laboratory Animal Science, CAMS & PUMC, Beijing, ChinaNational Human Diseases Animal Model Resource Center, National Center of Technology Innovation for animal model, State Key Laboratory of Respiratory Health and Multimorbidity, NHC Key Laboratory of Comparative Medicine, Beijing Key Laboratory for Animal Models of Emerging and Reemerging Infectious Diseases, Beijing Engineering Research Center for Experimental Animal Models of Human Critical Diseases, Institute of Laboratory Animal Science, CAMS & PUMC, Beijing, ChinaNational Human Diseases Animal Model Resource Center, National Center of Technology Innovation for animal model, State Key Laboratory of Respiratory Health and Multimorbidity, NHC Key Laboratory of Comparative Medicine, Beijing Key Laboratory for Animal Models of Emerging and Reemerging Infectious Diseases, Beijing Engineering Research Center for Experimental Animal Models of Human Critical Diseases, Institute of Laboratory Animal Science, CAMS & PUMC, Beijing, China; Corresponding authors.National Clinical Research Center for Respiratory Diseases, Center of Respiratory Medicine, China-Japan Friendship Hospital, Beijing 100029, ,China; Corresponding authors.National Human Diseases Animal Model Resource Center, National Center of Technology Innovation for animal model, State Key Laboratory of Respiratory Health and Multimorbidity, NHC Key Laboratory of Comparative Medicine, Beijing Key Laboratory for Animal Models of Emerging and Reemerging Infectious Diseases, Beijing Engineering Research Center for Experimental Animal Models of Human Critical Diseases, Institute of Laboratory Animal Science, CAMS & PUMC, Beijing, China; Corresponding authors.Background: Previous studies showed airborne bacteria affect pneumonia incidence, but specific impacts of bacterial communities on Klebsiella pneumoniae infection were unknown. Methods: Five different ratios of bacterial community structures were randomly generated. Mice were divided into control, artificial bacterial community exposure, and corresponding Klebsiella pneumoniae challenge groups. Changes in body weight, blood parameters, pulmonary pathology, inflammatory factors, metabolomics, and fecal microbiota were analyzed. Results: Different bacterial community exposures had varying degrees of influence on body weight, complete blood count, inflammatory factors, alveolar lavage fluid and plasma metabolome, as well as intestinal microbiota at baseline and after infection. Metabolomic analysis showed that microbial exposure affected both bronchoalveolar lavage fluid and plasma metabolomes, suggesting systemic effects of microbial exposure on the organism. Differences in the structure of artificial microbiota had inconsistent effects on both the baseline state and the post-infection state, hinting at crosstalk between microbial exposure and Klebsiella pneumoniae infection. KEGG pathway analysis unveiled possible molecular mechanisms underlying the overall impact of microbial exposure on the lungs and the body as a whole. In the intestinal microbiota, differences were found in composition at the phylum and genus levels. Spearman correlation analysis established potential correlations between intestinal microbiota and differential metabolites, suggesting a potential link within the lung-gut axis. Conclusion: This study demonstrated the significant and systemic impact of air microbiota structure differences on health. Future research should explore the underlying mechanisms to enhance our understanding of the air-environment-health relationship and identify interventions for improving public health strategies.http://www.sciencedirect.com/science/article/pii/S0147651325001319Bacterial pneumoniaAirborne microbiotaKlebsiella pneumoniaeMetabolomicsGut microbiotaEnvironmental exposure |
| spellingShingle | Li Zhou Chenchen Song Lianlian Zhao Zhi Guo Yuhan Lei Yunlin Han Kai Gao Yanfeng Xu Zhiguang Xiang Baicun Li Jianguo Guo Impact of variations in airborne microbiota on pneumonia infection: An exploratory study Ecotoxicology and Environmental Safety Bacterial pneumonia Airborne microbiota Klebsiella pneumoniae Metabolomics Gut microbiota Environmental exposure |
| title | Impact of variations in airborne microbiota on pneumonia infection: An exploratory study |
| title_full | Impact of variations in airborne microbiota on pneumonia infection: An exploratory study |
| title_fullStr | Impact of variations in airborne microbiota on pneumonia infection: An exploratory study |
| title_full_unstemmed | Impact of variations in airborne microbiota on pneumonia infection: An exploratory study |
| title_short | Impact of variations in airborne microbiota on pneumonia infection: An exploratory study |
| title_sort | impact of variations in airborne microbiota on pneumonia infection an exploratory study |
| topic | Bacterial pneumonia Airborne microbiota Klebsiella pneumoniae Metabolomics Gut microbiota Environmental exposure |
| url | http://www.sciencedirect.com/science/article/pii/S0147651325001319 |
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