Explore the Protective Role of Obesity in the Progression of Myocardial Infarction

Obesity has been shown as a risk factor to increase the incidence of myocardial infarction (MI). However, obesity has also been linked to the decreased mortality of acute MI with unknown mechanisms. Here, we firstly used large-scale literature data mining to identify obesity downstream targets and M...

Full description

Bibliographic Details
Main Authors: Siyuan Zhao, Rongyuan Cao, Shuhua Zhang, Yan Kang
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-03-01
Series:Frontiers in Cardiovascular Medicine
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fcvm.2021.629734/full
id doaj-e82f69c8c3e344c6927197f2acbb2129
record_format Article
spelling doaj-e82f69c8c3e344c6927197f2acbb21292021-03-25T04:36:37ZengFrontiers Media S.A.Frontiers in Cardiovascular Medicine2297-055X2021-03-01810.3389/fcvm.2021.629734629734Explore the Protective Role of Obesity in the Progression of Myocardial InfarctionSiyuan Zhao0Rongyuan Cao1Shuhua Zhang2Yan Kang3Department of Cardiology, Second People's Hospital of Lianyungang, Lianyungang, ChinaDepartment of Cardiology, Second People's Hospital of Lianyungang, Lianyungang, ChinaDepartment of Cardiology, Second People's Hospital of Lianyungang, Lianyungang, ChinaHuman Biochemical Genetics Section, National Institutes of Health, Bethesda, MD, United StatesObesity has been shown as a risk factor to increase the incidence of myocardial infarction (MI). However, obesity has also been linked to the decreased mortality of acute MI with unknown mechanisms. Here, we firstly used large-scale literature data mining to identify obesity downstream targets and MI upstream regulators with polarity, based on which an obesity-MI regulatory network was constructed. Then, a gene set enrichment analysis was conducted to explore the functional profile of the genes involved in the obesity-MI regulatory networks. After that, a mega-analysis using MI RNA expression datasets was conducted to test the expression of obesity-specific genes in MI patients, followed by a shortest-path analysis to explore any potential gene-MI association. Our results suggested that obesity could inhibit 11 MI promoters, including NPPB, NPPA, IRS1, SMAD3, MIR155, ADRB1, AVP, MAPK14, MC3R, ROCK1, and COL3A1, which were mainly involved in blood pressure-related pathways. Our study suggested that obesity could influence MI progression by driving multiple genes associated with blood pressure regulation. Moreover, PTH could be a novel obesity driven gene associated with the pathogenesis of MI, which needs further validation.https://www.frontiersin.org/articles/10.3389/fcvm.2021.629734/fullobesitymyocardial infarctionmega-analysisfunctional networksgene set enrichment analysis
collection DOAJ
language English
format Article
sources DOAJ
author Siyuan Zhao
Rongyuan Cao
Shuhua Zhang
Yan Kang
spellingShingle Siyuan Zhao
Rongyuan Cao
Shuhua Zhang
Yan Kang
Explore the Protective Role of Obesity in the Progression of Myocardial Infarction
Frontiers in Cardiovascular Medicine
obesity
myocardial infarction
mega-analysis
functional networks
gene set enrichment analysis
author_facet Siyuan Zhao
Rongyuan Cao
Shuhua Zhang
Yan Kang
author_sort Siyuan Zhao
title Explore the Protective Role of Obesity in the Progression of Myocardial Infarction
title_short Explore the Protective Role of Obesity in the Progression of Myocardial Infarction
title_full Explore the Protective Role of Obesity in the Progression of Myocardial Infarction
title_fullStr Explore the Protective Role of Obesity in the Progression of Myocardial Infarction
title_full_unstemmed Explore the Protective Role of Obesity in the Progression of Myocardial Infarction
title_sort explore the protective role of obesity in the progression of myocardial infarction
publisher Frontiers Media S.A.
series Frontiers in Cardiovascular Medicine
issn 2297-055X
publishDate 2021-03-01
description Obesity has been shown as a risk factor to increase the incidence of myocardial infarction (MI). However, obesity has also been linked to the decreased mortality of acute MI with unknown mechanisms. Here, we firstly used large-scale literature data mining to identify obesity downstream targets and MI upstream regulators with polarity, based on which an obesity-MI regulatory network was constructed. Then, a gene set enrichment analysis was conducted to explore the functional profile of the genes involved in the obesity-MI regulatory networks. After that, a mega-analysis using MI RNA expression datasets was conducted to test the expression of obesity-specific genes in MI patients, followed by a shortest-path analysis to explore any potential gene-MI association. Our results suggested that obesity could inhibit 11 MI promoters, including NPPB, NPPA, IRS1, SMAD3, MIR155, ADRB1, AVP, MAPK14, MC3R, ROCK1, and COL3A1, which were mainly involved in blood pressure-related pathways. Our study suggested that obesity could influence MI progression by driving multiple genes associated with blood pressure regulation. Moreover, PTH could be a novel obesity driven gene associated with the pathogenesis of MI, which needs further validation.
topic obesity
myocardial infarction
mega-analysis
functional networks
gene set enrichment analysis
url https://www.frontiersin.org/articles/10.3389/fcvm.2021.629734/full
work_keys_str_mv AT siyuanzhao exploretheprotectiveroleofobesityintheprogressionofmyocardialinfarction
AT rongyuancao exploretheprotectiveroleofobesityintheprogressionofmyocardialinfarction
AT shuhuazhang exploretheprotectiveroleofobesityintheprogressionofmyocardialinfarction
AT yankang exploretheprotectiveroleofobesityintheprogressionofmyocardialinfarction
_version_ 1724203914929111040