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Multi-Omic Analysis in a Metabolic Syndrome Porcine Model Implicates Arachidonic Acid Metabolism Disorder as a Risk Factor for Atherosclerosis
BACKGROUND: The diet-induced gut microbiota dysbiosis has been suggested as a major risk factor for atherothrombosis, however, the detailed mechanism linking these conditions is yet to be fully understood. METHODS: We established a long-term excessive-energy diet-induced metabolic syndrome (MetS) in...
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8906569/ https://www.ncbi.nlm.nih.gov/pubmed/35284467 http://dx.doi.org/10.3389/fnut.2022.807118 |
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author | Xu, Song-Song Zhang, Xiu-Ling Liu, Sha-Sha Feng, Shu-Tang Xiang, Guang-Ming Xu, Chang-Jiang Fan, Zi-Yao Xu, Kui Wang, Nan Wang, Yue Che, Jing-Jing Liu, Zhi-Guo Mu, Yu-Lian Li, Kui |
author_facet | Xu, Song-Song Zhang, Xiu-Ling Liu, Sha-Sha Feng, Shu-Tang Xiang, Guang-Ming Xu, Chang-Jiang Fan, Zi-Yao Xu, Kui Wang, Nan Wang, Yue Che, Jing-Jing Liu, Zhi-Guo Mu, Yu-Lian Li, Kui |
author_sort | Xu, Song-Song |
collection | PubMed |
description | BACKGROUND: The diet-induced gut microbiota dysbiosis has been suggested as a major risk factor for atherothrombosis, however, the detailed mechanism linking these conditions is yet to be fully understood. METHODS: We established a long-term excessive-energy diet-induced metabolic syndrome (MetS) inbred Wuzhishan minipig model, which is characterized by its genetic stability, small size, and human-like physiology. The metabolic parameters, atherosclerotic lesions, gut microbiome, and host transcriptome were analyzed. Metabolomics profiling revealed a linkage between gut microbiota and atherothrombosis. RESULTS: We showed that white atheromatous plaque was clearly visible on abdominal aorta in the MetS model. Furthermore, using metagenome and metatranscriptome sequencing, we discovered that the long-term excessive energy intake altered the local intestinal microbiota composition and transcriptional profile, which was most dramatically illustrated by the reduced abundance of SCFAs-producing bacteria including Bacteroides, Lachnospiraceae, and Ruminococcaceae in the MetS model. Liver and abdominal aorta transcriptomes in the MetS model indicate that the diet-induced gut microbiota dysbiosis activated host chronic inflammatory responses and significantly upregulated the expression of genes related to arachidonic acid-dependent signaling pathways. Notably, metabolomics profiling further revealed an intimate linkage between arachidonic acid metabolism and atherothrombosis in the host-gut microbial metabolism axis. CONCLUSIONS: These findings provide new insights into the relationship between atherothrombosis and regulation of gut microbiota via host metabolomes and will be of potential value for the treatment of cardiovascular diseases in MetS. |
format | Online Article Text |
id | pubmed-8906569 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-89065692022-03-10 Multi-Omic Analysis in a Metabolic Syndrome Porcine Model Implicates Arachidonic Acid Metabolism Disorder as a Risk Factor for Atherosclerosis Xu, Song-Song Zhang, Xiu-Ling Liu, Sha-Sha Feng, Shu-Tang Xiang, Guang-Ming Xu, Chang-Jiang Fan, Zi-Yao Xu, Kui Wang, Nan Wang, Yue Che, Jing-Jing Liu, Zhi-Guo Mu, Yu-Lian Li, Kui Front Nutr Nutrition BACKGROUND: The diet-induced gut microbiota dysbiosis has been suggested as a major risk factor for atherothrombosis, however, the detailed mechanism linking these conditions is yet to be fully understood. METHODS: We established a long-term excessive-energy diet-induced metabolic syndrome (MetS) inbred Wuzhishan minipig model, which is characterized by its genetic stability, small size, and human-like physiology. The metabolic parameters, atherosclerotic lesions, gut microbiome, and host transcriptome were analyzed. Metabolomics profiling revealed a linkage between gut microbiota and atherothrombosis. RESULTS: We showed that white atheromatous plaque was clearly visible on abdominal aorta in the MetS model. Furthermore, using metagenome and metatranscriptome sequencing, we discovered that the long-term excessive energy intake altered the local intestinal microbiota composition and transcriptional profile, which was most dramatically illustrated by the reduced abundance of SCFAs-producing bacteria including Bacteroides, Lachnospiraceae, and Ruminococcaceae in the MetS model. Liver and abdominal aorta transcriptomes in the MetS model indicate that the diet-induced gut microbiota dysbiosis activated host chronic inflammatory responses and significantly upregulated the expression of genes related to arachidonic acid-dependent signaling pathways. Notably, metabolomics profiling further revealed an intimate linkage between arachidonic acid metabolism and atherothrombosis in the host-gut microbial metabolism axis. CONCLUSIONS: These findings provide new insights into the relationship between atherothrombosis and regulation of gut microbiota via host metabolomes and will be of potential value for the treatment of cardiovascular diseases in MetS. Frontiers Media S.A. 2022-02-23 /pmc/articles/PMC8906569/ /pubmed/35284467 http://dx.doi.org/10.3389/fnut.2022.807118 Text en Copyright © 2022 Xu, Zhang, Liu, Feng, Xiang, Xu, Fan, Xu, Wang, Wang, Che, Liu, Mu and Li. 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 | Nutrition Xu, Song-Song Zhang, Xiu-Ling Liu, Sha-Sha Feng, Shu-Tang Xiang, Guang-Ming Xu, Chang-Jiang Fan, Zi-Yao Xu, Kui Wang, Nan Wang, Yue Che, Jing-Jing Liu, Zhi-Guo Mu, Yu-Lian Li, Kui Multi-Omic Analysis in a Metabolic Syndrome Porcine Model Implicates Arachidonic Acid Metabolism Disorder as a Risk Factor for Atherosclerosis |
title | Multi-Omic Analysis in a Metabolic Syndrome Porcine Model Implicates Arachidonic Acid Metabolism Disorder as a Risk Factor for Atherosclerosis |
title_full | Multi-Omic Analysis in a Metabolic Syndrome Porcine Model Implicates Arachidonic Acid Metabolism Disorder as a Risk Factor for Atherosclerosis |
title_fullStr | Multi-Omic Analysis in a Metabolic Syndrome Porcine Model Implicates Arachidonic Acid Metabolism Disorder as a Risk Factor for Atherosclerosis |
title_full_unstemmed | Multi-Omic Analysis in a Metabolic Syndrome Porcine Model Implicates Arachidonic Acid Metabolism Disorder as a Risk Factor for Atherosclerosis |
title_short | Multi-Omic Analysis in a Metabolic Syndrome Porcine Model Implicates Arachidonic Acid Metabolism Disorder as a Risk Factor for Atherosclerosis |
title_sort | multi-omic analysis in a metabolic syndrome porcine model implicates arachidonic acid metabolism disorder as a risk factor for atherosclerosis |
topic | Nutrition |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8906569/ https://www.ncbi.nlm.nih.gov/pubmed/35284467 http://dx.doi.org/10.3389/fnut.2022.807118 |
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