Investigating Coronary Artery Disease methylome through targeted bisulfite sequencing.
Apolipoproteins
Cholesterol
Cholesterol metabolism
Coronary Artery Disease
DNA methylation
Exon
HDL-C
LDL-C
Promoter
Triglycerides
Journal
Gene
ISSN: 1879-0038
Titre abrégé: Gene
Pays: Netherlands
ID NLM: 7706761
Informations de publication
Date de publication:
30 Dec 2019
30 Dec 2019
Historique:
received:
30
04
2019
revised:
05
09
2019
accepted:
05
09
2019
pubmed:
10
9
2019
medline:
8
11
2019
entrez:
10
9
2019
Statut:
ppublish
Résumé
Gene environment interactions leading to epigenetic alterations play pivotal role in the pathogenesis of Coronary Artery Disease (CAD). Altered DNA methylation is one such epigenetic factor that could lead to altered disease etiology. In this study, we comprehensively identified methylation sites in several genes that have been previously associated with young CAD patients. The study population consisted of 42 healthy controls and 33 young CAD patients (age group <50 years). We performed targeted bisulfite sequencing of promoter as well as gene body regions of several genes in various pathways like cholesterol synthesis and metabolism, endothelial dysfunction, apoptosis, which are implicated in the development of CAD. We observed that the genes like GALNT2, HMGCR were hypermethylated in the promoter whereas LDLR gene promoter was hypomethylated indicating that intracellular LDL uptake was higher in CAD patients. Although APOA1 did not show significant change in methylation but APOC3 and APOA5 showed variation in methylation in promoter and exonic regions. Glucokinase (GCK) and endothelial nitric oxide synthase 3 (NOS3) were hyper methylated in the promoter. Genes involved in apoptosis (BAX/BCL2/AKT2) and inflammation (PHACTR1/LCK) also showed differential methylation between controls and CAD patients. A combined analysis of the methylated CpG sites using machine learning tool revealed 14 CpGs in 11 genes that could discriminate CAD cases from controls with over 93% accuracy. This study is unique because it highlights important gene methylation alterations which might predict the risk of young CAD in Indian population. Large scale studies in different populations would be important for validating our findings and understanding the epigenetic events associated with CAD.
Sections du résumé
BACKGROUND
BACKGROUND
Gene environment interactions leading to epigenetic alterations play pivotal role in the pathogenesis of Coronary Artery Disease (CAD). Altered DNA methylation is one such epigenetic factor that could lead to altered disease etiology. In this study, we comprehensively identified methylation sites in several genes that have been previously associated with young CAD patients.
METHODS
METHODS
The study population consisted of 42 healthy controls and 33 young CAD patients (age group <50 years). We performed targeted bisulfite sequencing of promoter as well as gene body regions of several genes in various pathways like cholesterol synthesis and metabolism, endothelial dysfunction, apoptosis, which are implicated in the development of CAD.
RESULTS
RESULTS
We observed that the genes like GALNT2, HMGCR were hypermethylated in the promoter whereas LDLR gene promoter was hypomethylated indicating that intracellular LDL uptake was higher in CAD patients. Although APOA1 did not show significant change in methylation but APOC3 and APOA5 showed variation in methylation in promoter and exonic regions. Glucokinase (GCK) and endothelial nitric oxide synthase 3 (NOS3) were hyper methylated in the promoter. Genes involved in apoptosis (BAX/BCL2/AKT2) and inflammation (PHACTR1/LCK) also showed differential methylation between controls and CAD patients. A combined analysis of the methylated CpG sites using machine learning tool revealed 14 CpGs in 11 genes that could discriminate CAD cases from controls with over 93% accuracy.
CONCLUSIONS
CONCLUSIONS
This study is unique because it highlights important gene methylation alterations which might predict the risk of young CAD in Indian population. Large scale studies in different populations would be important for validating our findings and understanding the epigenetic events associated with CAD.
Identifiants
pubmed: 31499127
pii: S0378-1119(19)30766-8
doi: 10.1016/j.gene.2019.144107
pii:
doi:
Substances chimiques
Apolipoproteins
0
Apoptosis Regulatory Proteins
0
Sulfites
0
hydrogen sulfite
OJ9787WBLU
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
144107Informations de copyright
Copyright © 2019 Elsevier B.V. All rights reserved.