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Integrative genomic analysis identified common regulatory networks underlying the correlation between coronary artery disease and plasma lipid levels.

ABSTRACT: BACKGROUND:Coronary artery disease (CAD) and plasma lipid levels are highly correlated, indicating the presence of common pathways between them. Nevertheless, the molecular pathways underlying the pathogenic comorbidities for both traits remain poorly studied. We sought to identify common pathways and key driver genes by performing a comprehensive integrative analysis based on multi-omic datasets. METHODS:By performing a pathway-based analysis of GWAS summary data, we identified that lipoprotein metabolism process-related pathways were significantly associated with CAD risk. Based on LD score regression analysis of CAD-related SNPs, significant heritability enrichments were observed in the cardiovascular and digestive system, as well as in liver and gastrointestinal tissues, which are the main regulators for lipid level. RESULTS:We found there existed significant genetic correlation between CAD and other lipid metabolism related traits (the smallest P value

SUBMITTER: Chen L

PROVIDER: S-EPMC6927120 | biostudies-literature | 2019 Dec

REPOSITORIES: biostudies-literature

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Integrative genomic analysis identified common regulatory networks underlying the correlation between coronary artery disease and plasma lipid levels.

Chen Liuying L Yao Yinghao Y Jin Chaolun C Wu Shen S Liu Qiang Q Li Jingjing J Ma Yunlong Y Xu Yizhou Y Zhong Yigang Y

BMC cardiovascular disorders 20191223 1

<h4>Background</h4>Coronary artery disease (CAD) and plasma lipid levels are highly correlated, indicating the presence of common pathways between them. Nevertheless, the molecular pathways underlying the pathogenic comorbidities for both traits remain poorly studied. We sought to identify common pathways and key driver genes by performing a comprehensive integrative analysis based on multi-omic datasets.<h4>Methods</h4>By performing a pathway-based analysis of GWAS summary data, we identified t ...[more]

PMID: 31870308

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Project description:Background---For decades, plasma lipid levels have been known risk factors of atherosclerosis. Recently, inflammation has gained acceptance as a crucial event in the pathogenesis and development of atherosclerosis. A number of studies have provided some insights into the relationships between the two aspects of atherosclerosis: plasma lipids --- the risk factors, and circulating leukocytes --- the effectors of inflammation. In this study, we investigate the relationships between plasma lipids and leukocytes. Methods and Results---No significant correlation was found between leukocyte counts and plasma lipid levels in 74 individuals. Profiling and analyzing the leukocyte gene expression of 32 individuals revealed distinctive patterns in response to plasma lipid levels: 1) genes involved in lipid metabolism and in the electron transport chain were positively correlated with triglycerides and low-density lipoprotein cholesterol levels, and negatively correlated with high-density lipoprotein cholesterol levels; 2) genes involved in platelet activation were negatively correlated with high-density lipoprotein cholesterol levels; 3) transcription factors regulating lipidgenesis-related genes were correlated with plasma lipid levels; 4) a number of genes correlated to plasma lipid levels were found located in the regions of known QTLs associated with hyperlipemia. Conclusions--- We discovered interesting patterns of leukocyte gene expression in response to plasma lipid levels. Most importantly, genes involved in lipid metabolism, the electron transportation chain, and platelet activation were found correlated with plasma lipid levels. We suggest that leukocytes respond to changing plasma lipid levels by regulating a network of genes, including genes involved in lipid and fatty acid metabolism, through the activation of key transcription factors, such as sterol regulatory element binding transcription factors and peroxisome proliferative activated receptors. Keywords: Atherosclerosis, leukocyte, lipid, gene expression

Project description:Background---For decades, plasma lipid levels have been known risk factors of atherosclerosis. Recently, inflammation has gained acceptance as a crucial event in the pathogenesis and development of atherosclerosis. A number of studies have provided some insights into the relationships between the two aspects of atherosclerosis: plasma lipids --- the risk factors, and circulating leukocytes --- the effectors of inflammation. In this study, we investigate the relationships between plasma lipids and leukocytes. Methods and Results---No significant correlation was found between leukocyte counts and plasma lipid levels in 74 individuals. Profiling and analyzing the leukocyte gene expression of 32 individuals revealed distinctive patterns in response to plasma lipid levels: 1) genes involved in lipid metabolism and in the electron transport chain were positively correlated with triglycerides and low-density lipoprotein cholesterol levels, and negatively correlated with high-density lipoprotein cholesterol levels; 2) genes involved in platelet activation were negatively correlated with high-density lipoprotein cholesterol levels; 3) transcription factors regulating lipidgenesis-related genes were correlated with plasma lipid levels; 4) a number of genes correlated to plasma lipid levels were found located in the regions of known QTLs associated with hyperlipemia. Conclusions--- We discovered interesting patterns of leukocyte gene expression in response to plasma lipid levels. Most importantly, genes involved in lipid metabolism, the electron transportation chain, and platelet activation were found correlated with plasma lipid levels. We suggest that leukocytes respond to changing plasma lipid levels by regulating a network of genes, including genes involved in lipid and fatty acid metabolism, through the activation of key transcription factors, such as sterol regulatory element binding transcription factors and peroxisome proliferative activated receptors. Experiment Overall Design: 1. Profile gene expression in human peripheral blood cells. Experiment Overall Design: 2. Test blood biochemistry and blood cell differential counts Experiment Overall Design: 3. Examine the correlation between blood gene expression and blood lipid levels. Experiment Overall Design: 4. Explore possible pathways with significant genes. Experiment Overall Design: 5. Validate a number of significant genes with RT-PCR

Dataset Information

Integrative genomic analysis identified common regulatory networks underlying the correlation between coronary artery disease and plasma lipid levels.

Publications

Integrative genomic analysis identified common regulatory networks underlying the correlation between coronary artery disease and plasma lipid levels.

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