ArticleNutrients2019
Network Analysis of the Potential Role of DNA Methylation in the Relationship between Plasma Carotenoids and Lipid Profile.
Article in Nutrients, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed.
- Deciphering the role of IGF2BP2 and PRMT5 in gallbladder cancer progression: insights from multi-omics analysis.British journal of cancer · 2025Article
- Deciphering the neuroprotective mechanisms of RACK1 in cerebral ischemia-reperfusion injury: Pioneering insights into mitochondrial autophagy and the PINK1/Parkin axis.CNS neuroscience & therapeutics · 2024Article
- The role of the stria vascularis in neglected otologic disease.Hearing research · 2023Review
- A discriminant analysis of plasma metabolomics for the assessment of metabolic responsiveness to red raspberry consumption.Frontiers in nutrition · 2023Article
- Article
- Comethyl: a network-based methylome approach to investigate the multivariate nature of health and disease.Briefings in bioinformatics · 2022Article
- Prognostic value ofFrontiers in genetics · 2022Article
- Connections for Matters of the Heart: Network Medicine in Cardiovascular Diseases.Frontiers in cardiovascular medicine · 2022Review
- Lipid Phenotypes and DNA Methylation: a Review of the Literature.Current atherosclerosis reports · 2021Review
- CENPL, ISG20L2, LSM4, MRPL3 are four novel hub genes and may serve as diagnostic and prognostic markers in breast cancer.Scientific reports · 2021Article
- Epigenetic stratification of head and neck cancer survivors reveals differences in lycopene levels, alcohol consumption, and methylation of immune regulatory genes.Clinical epigenetics · 2020Article
- Nutritional Factors Modulating Alu Methylation in an Italian Sample from The Mark-Age Study Including Offspring of Healthy Nonagenarians.Nutrients · 2019Article
Corrections and comments
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Authors and funding
5 authors.
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Abstract
Variability in plasma carotenoids may be attributable to several factors including genetic variants and lipid profile. Until now, the impact of DNA methylation on this variability has not been widely studied. Weighted gene correlation network analysis (WGCNA) is a systems biology method used for finding gene clusters (modules) with highly correlated methylation levels and for relating them to phenotypic traits. The objective of the present study was to examine the role of DNA methylation in the relationship between plasma total carotenoid concentrations and lipid profile using WGCNA in 48 healthy subjects. Genome-wide DNA methylation levels of 20,687 out of 472,245 CpG sites in blood leukocytes were associated with total carotenoid concentrations. Using WGCNA, nine co-methylation modules were identified. A total of 2734 hub genes (17 unique top hub genes) were potentially related to lipid profile. This study provides evidence for the potential implications of gene co-methylation in the relationship between plasma carotenoids and lipid profile. Further studies and validation of the hub genes are needed.
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