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...

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Main Authors: Meimei Chen, Zhaoyang Yang, Huijian Gan, Yang Wang, Chandong Li, Yuxing Gao
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2022-01-01
Series:PLoS ONE
Online Access:https://doi.org/10.1371/journal.pone.0270593
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author Meimei Chen
Zhaoyang Yang
Huijian Gan
Yang Wang
Chandong Li
Yuxing Gao
author_facet Meimei Chen
Zhaoyang Yang
Huijian Gan
Yang Wang
Chandong Li
Yuxing Gao
author_sort Meimei Chen
collection DOAJ
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.
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spelling doaj.art-61535a2e0f7e4c9cb89f845c3830379e2022-12-22T02:14:13ZengPublic Library of Science (PLoS)PLoS ONE1932-62032022-01-01177e027059310.1371/journal.pone.0270593Investigation into potential mechanisms of metabolic syndrome by integrative analysis of metabolomics and proteomics.Meimei ChenZhaoyang YangHuijian GanYang WangChandong LiYuxing GaoMetabolic 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.https://doi.org/10.1371/journal.pone.0270593
spellingShingle Meimei Chen
Zhaoyang Yang
Huijian Gan
Yang Wang
Chandong Li
Yuxing Gao
Investigation into potential mechanisms of metabolic syndrome by integrative analysis of metabolomics and proteomics.
PLoS ONE
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
url https://doi.org/10.1371/journal.pone.0270593
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