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Deciphering Gut Microbiome Responses upon Microplastic Exposure via Integrating Metagenomics and Activity-Based Metabolomics

Perturbations of the gut microbiome are often intertwined with the onset and development of diverse metabolic diseases. It has been suggested that gut microbiome perturbation could be a potential mechanism through which environmental chemical exposure induces or exacerbates human diseases. Microplas...

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Detalles Bibliográficos
Autores principales: Tu, Pengcheng, Xue, Jingchuan, Niu, Huixia, Tang, Qiong, Mo, Zhe, Zheng, Xiaodong, Wu, Lizhi, Chen, Zhijian, Cai, Yanpeng, Wang, Xiaofeng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10145956/
https://www.ncbi.nlm.nih.gov/pubmed/37110188
http://dx.doi.org/10.3390/metabo13040530
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author Tu, Pengcheng
Xue, Jingchuan
Niu, Huixia
Tang, Qiong
Mo, Zhe
Zheng, Xiaodong
Wu, Lizhi
Chen, Zhijian
Cai, Yanpeng
Wang, Xiaofeng
author_facet Tu, Pengcheng
Xue, Jingchuan
Niu, Huixia
Tang, Qiong
Mo, Zhe
Zheng, Xiaodong
Wu, Lizhi
Chen, Zhijian
Cai, Yanpeng
Wang, Xiaofeng
author_sort Tu, Pengcheng
collection PubMed
description Perturbations of the gut microbiome are often intertwined with the onset and development of diverse metabolic diseases. It has been suggested that gut microbiome perturbation could be a potential mechanism through which environmental chemical exposure induces or exacerbates human diseases. Microplastic pollution, an emerging environmental issue, has received ever increasing attention in recent years. However, interactions between microplastic exposure and the gut microbiota remain elusive. This study aimed to decipher the responses of the gut microbiome upon microplastic polystyrene (MP) exposure by integrating 16S rRNA high-throughput sequencing with metabolomic profiling techniques using a C57BL/6 mouse model. The results indicated that MP exposure significantly perturbed aspects of the gut microbiota, including its composition, diversity, and functional pathways that are involved in xenobiotic metabolism. A distinct metabolite profile was observed in mice with MP exposure, which probably resulted from changes in gut bacterial composition. Specifically, untargeted metabolomics revealed that levels of metabolites associated with cholesterol metabolism, primary and secondary bile acid biosynthesis, and taurine and hypotaurine metabolism were changed significantly. Targeted approaches indicated significant perturbation with respect to the levels of short-chain fatty acids derived from the gut microbiota. This study can provide evidence for the missing link in understanding the mechanisms behind the toxic effects of microplastics.
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spelling pubmed-101459562023-04-29 Deciphering Gut Microbiome Responses upon Microplastic Exposure via Integrating Metagenomics and Activity-Based Metabolomics Tu, Pengcheng Xue, Jingchuan Niu, Huixia Tang, Qiong Mo, Zhe Zheng, Xiaodong Wu, Lizhi Chen, Zhijian Cai, Yanpeng Wang, Xiaofeng Metabolites Article Perturbations of the gut microbiome are often intertwined with the onset and development of diverse metabolic diseases. It has been suggested that gut microbiome perturbation could be a potential mechanism through which environmental chemical exposure induces or exacerbates human diseases. Microplastic pollution, an emerging environmental issue, has received ever increasing attention in recent years. However, interactions between microplastic exposure and the gut microbiota remain elusive. This study aimed to decipher the responses of the gut microbiome upon microplastic polystyrene (MP) exposure by integrating 16S rRNA high-throughput sequencing with metabolomic profiling techniques using a C57BL/6 mouse model. The results indicated that MP exposure significantly perturbed aspects of the gut microbiota, including its composition, diversity, and functional pathways that are involved in xenobiotic metabolism. A distinct metabolite profile was observed in mice with MP exposure, which probably resulted from changes in gut bacterial composition. Specifically, untargeted metabolomics revealed that levels of metabolites associated with cholesterol metabolism, primary and secondary bile acid biosynthesis, and taurine and hypotaurine metabolism were changed significantly. Targeted approaches indicated significant perturbation with respect to the levels of short-chain fatty acids derived from the gut microbiota. This study can provide evidence for the missing link in understanding the mechanisms behind the toxic effects of microplastics. MDPI 2023-04-07 /pmc/articles/PMC10145956/ /pubmed/37110188 http://dx.doi.org/10.3390/metabo13040530 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Tu, Pengcheng
Xue, Jingchuan
Niu, Huixia
Tang, Qiong
Mo, Zhe
Zheng, Xiaodong
Wu, Lizhi
Chen, Zhijian
Cai, Yanpeng
Wang, Xiaofeng
Deciphering Gut Microbiome Responses upon Microplastic Exposure via Integrating Metagenomics and Activity-Based Metabolomics
title Deciphering Gut Microbiome Responses upon Microplastic Exposure via Integrating Metagenomics and Activity-Based Metabolomics
title_full Deciphering Gut Microbiome Responses upon Microplastic Exposure via Integrating Metagenomics and Activity-Based Metabolomics
title_fullStr Deciphering Gut Microbiome Responses upon Microplastic Exposure via Integrating Metagenomics and Activity-Based Metabolomics
title_full_unstemmed Deciphering Gut Microbiome Responses upon Microplastic Exposure via Integrating Metagenomics and Activity-Based Metabolomics
title_short Deciphering Gut Microbiome Responses upon Microplastic Exposure via Integrating Metagenomics and Activity-Based Metabolomics
title_sort deciphering gut microbiome responses upon microplastic exposure via integrating metagenomics and activity-based metabolomics
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10145956/
https://www.ncbi.nlm.nih.gov/pubmed/37110188
http://dx.doi.org/10.3390/metabo13040530
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