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Correlation Analysis of Gut Microbiota and Serum Metabolome With Porphyromonas gingivalis-Induced Metabolic Disorders

Periodontitis has been demonstrated to increase the risk of metabolic syndrome (MetS), but the underlying mechanism remains unclear. Recent studies have indicated periodontopathic bacteria such as Porphyromonas gingivalis could induce gut microbiota (GM) dysbiosis and aggravate metabolic disorders....

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Autores principales: Dong, ZhengJie, Lv, WanQi, Zhang, ChenYang, Chen, Si
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9022097/
https://www.ncbi.nlm.nih.gov/pubmed/35463645
http://dx.doi.org/10.3389/fcimb.2022.858902
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author Dong, ZhengJie
Lv, WanQi
Zhang, ChenYang
Chen, Si
author_facet Dong, ZhengJie
Lv, WanQi
Zhang, ChenYang
Chen, Si
author_sort Dong, ZhengJie
collection PubMed
description Periodontitis has been demonstrated to increase the risk of metabolic syndrome (MetS), but the underlying mechanism remains unclear. Recent studies have indicated periodontopathic bacteria such as Porphyromonas gingivalis could induce gut microbiota (GM) dysbiosis and aggravate metabolic disorders. However, the effects of microbial metabolites have barely been evaluated. Here, we investigated the alteration of serum metabolome with P. gingivalis-induced metabolic disorders, and explored the correlations of GM and serum metabolites. In this study, we orally administered P. gingivalis ATCC33277 to C57BL/6 mice and performed metagenomic sequencing and untargeted metabolomics with fecal samples and serum collection. In vivo experiments showed a higher proportion of fat mass and worse glucose tolerance in P. gingivalis-administered mice, accompanied with an increase of adipose inflammation and gut permeability, which was similar to HFD-induced obese mice. Metagenomic sequencing indicated a compositional and functional alteration of GM. Untargeted metabolomics revealed an alteration of metabolites in P. gingivalis-administered mice, and most of them were engaged in metabolic pathways, such as tryptophan metabolism and choline metabolism. Correlation analysis between GM and serum metabolome indicated strong relativity with P. gingivalis administration. These results demonstrated some specific microbiota-derived metabolites in the pathogenesis of P. gingivalis-induced metabolic disorders, providing promising targets for the development of novel treatment strategies for MetS.
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spelling pubmed-90220972022-04-22 Correlation Analysis of Gut Microbiota and Serum Metabolome With Porphyromonas gingivalis-Induced Metabolic Disorders Dong, ZhengJie Lv, WanQi Zhang, ChenYang Chen, Si Front Cell Infect Microbiol Cellular and Infection Microbiology Periodontitis has been demonstrated to increase the risk of metabolic syndrome (MetS), but the underlying mechanism remains unclear. Recent studies have indicated periodontopathic bacteria such as Porphyromonas gingivalis could induce gut microbiota (GM) dysbiosis and aggravate metabolic disorders. However, the effects of microbial metabolites have barely been evaluated. Here, we investigated the alteration of serum metabolome with P. gingivalis-induced metabolic disorders, and explored the correlations of GM and serum metabolites. In this study, we orally administered P. gingivalis ATCC33277 to C57BL/6 mice and performed metagenomic sequencing and untargeted metabolomics with fecal samples and serum collection. In vivo experiments showed a higher proportion of fat mass and worse glucose tolerance in P. gingivalis-administered mice, accompanied with an increase of adipose inflammation and gut permeability, which was similar to HFD-induced obese mice. Metagenomic sequencing indicated a compositional and functional alteration of GM. Untargeted metabolomics revealed an alteration of metabolites in P. gingivalis-administered mice, and most of them were engaged in metabolic pathways, such as tryptophan metabolism and choline metabolism. Correlation analysis between GM and serum metabolome indicated strong relativity with P. gingivalis administration. These results demonstrated some specific microbiota-derived metabolites in the pathogenesis of P. gingivalis-induced metabolic disorders, providing promising targets for the development of novel treatment strategies for MetS. Frontiers Media S.A. 2022-04-07 /pmc/articles/PMC9022097/ /pubmed/35463645 http://dx.doi.org/10.3389/fcimb.2022.858902 Text en Copyright © 2022 Dong, Lv, Zhang and Chen 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 Cellular and Infection Microbiology
Dong, ZhengJie
Lv, WanQi
Zhang, ChenYang
Chen, Si
Correlation Analysis of Gut Microbiota and Serum Metabolome With Porphyromonas gingivalis-Induced Metabolic Disorders
title Correlation Analysis of Gut Microbiota and Serum Metabolome With Porphyromonas gingivalis-Induced Metabolic Disorders
title_full Correlation Analysis of Gut Microbiota and Serum Metabolome With Porphyromonas gingivalis-Induced Metabolic Disorders
title_fullStr Correlation Analysis of Gut Microbiota and Serum Metabolome With Porphyromonas gingivalis-Induced Metabolic Disorders
title_full_unstemmed Correlation Analysis of Gut Microbiota and Serum Metabolome With Porphyromonas gingivalis-Induced Metabolic Disorders
title_short Correlation Analysis of Gut Microbiota and Serum Metabolome With Porphyromonas gingivalis-Induced Metabolic Disorders
title_sort correlation analysis of gut microbiota and serum metabolome with porphyromonas gingivalis-induced metabolic disorders
topic Cellular and Infection Microbiology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9022097/
https://www.ncbi.nlm.nih.gov/pubmed/35463645
http://dx.doi.org/10.3389/fcimb.2022.858902
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