Abstract

BackgroundVariability in circulating carotenoids may be attributable to several factors including, among others, genetic variants and lipid profile. However, relatively few studies have considered the impact of gene expression in the inter-individual variability in circulating carotenoids. Most studies considered expression of genes individually and ignored their high degree of interconnection. Weighted gene co-expression network analysis (WGCNA) is a systems biology method used for finding gene clusters with highly correlated expression levels and for relating them to phenotypic traits. The objective of the present observational study is to examine the relationship between plasma total carotenoid concentrations and lipid profile using WGCNA.ResultsWhole blood expression levels of 533 probes were associated with plasma total carotenoids. Among the four WGCNA distinct modules identified, turquoise, blue, and brown modules correlated with plasma high-density lipoprotein cholesterol (HDL-C) and total cholesterol. Probes showing a strong association with HDL-C and total cholesterol were also the most important elements of the brown and blue modules. A total of four and 29 hub genes associated with total carotenoids were potentially related to HDL-C and total cholesterol, respectively.ConclusionsExpression levels of 533 probes were associated with plasma total carotenoid concentrations. Using WGCNA, four modules and several hub genes related to lipid and carotenoid metabolism were identified. This integrative analysis provides evidence for the potential role of gene co-expression in the relationship between carotenoids and lipid concentrations. Further studies and validation of the hub genes are needed.

Highlights

  • Variability in circulating carotenoids may be attributable to several factors including, among others, genetic variants and lipid profile

  • Associations between total carotenoids and genome-wide gene expression levels Normalized gene expression levels of 18,160 probes were tested for associations with plasma total carotenoid concentrations

  • Weighted gene co-expression network analysis (WGCNA) was conducted on this subset of probes, which were associated with total carotenoids in order to put them in relationship with lipid profile

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Summary

Introduction

Variability in circulating carotenoids may be attributable to several factors including, among others, genetic variants and lipid profile. Relatively few studies have considered the impact of gene expression in the inter-individual variability in circulating carotenoids. Carotenoid intakes are inversely associated with the risk of cardiovascular diseases and certain cancers [10] They may mediate their effects mainly via antioxidant properties and via other mechanisms such as gap junction communication, cell growth regulation, immune response, and modulation of gene expression [11, 12]. Relatively few studies have considered the impact of gene expression in the inter-individual variability in circulating carotenoid concentrations. No previous study has examined the interconnection between plasma carotenoids, lipid profile, and genome-wide gene expression levels. Weighted gene co-expression network analysis (WGCNA) is a widely used systems biology approach used to identify gene clusters (modules) with highly correlated expression levels, to relate the modules to phenotypic traits, and to identify key hub genes within modules that are related to the phenotypic traits [21]

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