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Investigation into potential mechanisms of metabolic syndrome by integrative analysis of metabolomics and proteomics
Metabolic syndrome (MetS) is a complex syndrome cluster of metabolic disorders, which greatly increases the risks of diabetic and cardiovascular diseases. Although it has become a significantly worldwide public health burden, its pathogenesis largely remains unknown. In this study, we first performe...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9255766/ https://www.ncbi.nlm.nih.gov/pubmed/35789338 http://dx.doi.org/10.1371/journal.pone.0270593 |
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author | Chen, Meimei Yang, Zhaoyang Gan, Huijian Wang, Yang Li, Chandong Gao, Yuxing |
author_facet | Chen, Meimei Yang, Zhaoyang Gan, Huijian Wang, Yang Li, Chandong Gao, Yuxing |
author_sort | Chen, Meimei |
collection | PubMed |
description | Metabolic syndrome (MetS) is a complex syndrome cluster of metabolic disorders, which greatly increases the risks of diabetic and cardiovascular diseases. Although it has become a significantly worldwide public health burden, its pathogenesis largely remains unknown. In this study, we first performed an integrated analysis of proteomic and metabonomic data of liver tissues of rats between MetS and control groups to reveal possible mechanisms of MetS. A total of 16 significantly perturbed pathways were identified, of which three pathways were shared by patients with MetS and diabetes identified by analysis of serum samples, including alanine, aspartate and glutamate metabolism, valine, leucine and isoleucine biosynthesis, and glycine, serine and threonine metabolism. Additionally, it was found that 18 differential metabolites were closely related with 36 differential proteins, which were considered as significantly discriminant metabolites and proteins between two groups and were mainly involved in metabolic processes of gamma-aminobutyric acid and acetyl-CoA, biosynthetic processes of cholesterol and amino acids. The results of PPI network analysis and topological parameter calculation of four methods revealed that 16 proteins can serve as hub proteins of MetS. Followed by searching the PubMed database and molecular docking of Cyp7a1 and Got1, we concluded that atorvastatin and resveratrol may be potential drugs for MetS. |
format | Online Article Text |
id | pubmed-9255766 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-92557662022-07-06 Investigation into potential mechanisms of metabolic syndrome by integrative analysis of metabolomics and proteomics Chen, Meimei Yang, Zhaoyang Gan, Huijian Wang, Yang Li, Chandong Gao, Yuxing PLoS One Research Article Metabolic syndrome (MetS) is a complex syndrome cluster of metabolic disorders, which greatly increases the risks of diabetic and cardiovascular diseases. Although it has become a significantly worldwide public health burden, its pathogenesis largely remains unknown. In this study, we first performed an integrated analysis of proteomic and metabonomic data of liver tissues of rats between MetS and control groups to reveal possible mechanisms of MetS. A total of 16 significantly perturbed pathways were identified, of which three pathways were shared by patients with MetS and diabetes identified by analysis of serum samples, including alanine, aspartate and glutamate metabolism, valine, leucine and isoleucine biosynthesis, and glycine, serine and threonine metabolism. Additionally, it was found that 18 differential metabolites were closely related with 36 differential proteins, which were considered as significantly discriminant metabolites and proteins between two groups and were mainly involved in metabolic processes of gamma-aminobutyric acid and acetyl-CoA, biosynthetic processes of cholesterol and amino acids. The results of PPI network analysis and topological parameter calculation of four methods revealed that 16 proteins can serve as hub proteins of MetS. Followed by searching the PubMed database and molecular docking of Cyp7a1 and Got1, we concluded that atorvastatin and resveratrol may be potential drugs for MetS. Public Library of Science 2022-07-05 /pmc/articles/PMC9255766/ /pubmed/35789338 http://dx.doi.org/10.1371/journal.pone.0270593 Text en © 2022 Chen et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Chen, Meimei Yang, Zhaoyang Gan, Huijian Wang, Yang Li, Chandong Gao, Yuxing Investigation into potential mechanisms of metabolic syndrome by integrative analysis of metabolomics and proteomics |
title | Investigation into potential mechanisms of metabolic syndrome by integrative analysis of metabolomics and proteomics |
title_full | Investigation into potential mechanisms of metabolic syndrome by integrative analysis of metabolomics and proteomics |
title_fullStr | Investigation into potential mechanisms of metabolic syndrome by integrative analysis of metabolomics and proteomics |
title_full_unstemmed | Investigation into potential mechanisms of metabolic syndrome by integrative analysis of metabolomics and proteomics |
title_short | Investigation into potential mechanisms of metabolic syndrome by integrative analysis of metabolomics and proteomics |
title_sort | investigation into potential mechanisms of metabolic syndrome by integrative analysis of metabolomics and proteomics |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9255766/ https://www.ncbi.nlm.nih.gov/pubmed/35789338 http://dx.doi.org/10.1371/journal.pone.0270593 |
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