DNA methylation in human lipid metabolism and related diseases.
DNA methylation in human lipid metabolism and related diseases.
复制标题
DOI：
10.1097/mol.0000000000000491
复制
发表时间：
2018-04
影响因子：
4.4
通讯作者：
Waldenberger M
中科院分区：
文献类型：
--
作者：
Mittelstraß K;Waldenberger M
越来越明显的是，表观遗传机制，特别是DNA甲基化，在调节血脂水平和脂质代谢相关的表型和疾病中发挥作用。最近的全基因组甲基化和血脂候选基因研究突出了几个在不同种族中稳健复制的甲基化标志物。此外，许多与血脂相关的脂质相关CpG位点也与脂质相关表型和疾病有关。将表观全基因组关联研究（EWAS）数据与其他分子数据层（如遗传学或转录组）相结合，并辅以相关统计方法（如孟德尔随机化），为因果关系提供了证据。最近的数据表明，表观遗传变化可能是血脂异常的后果，而不是原因。关于许多脂质类和脂质代谢紊乱以及DNA甲基化与其他表观遗传层（如组蛋白修饰和调控RNA）的相互作用的信息很少。本综述提供了2016年1月至2017年9月期间脂质代谢和其他脂质相关表型和疾病中表观遗传修饰的文献概述，重点关注DNA甲基化的EWAS。最近的研究强烈支持表观遗传修饰（如DNA甲基化）在脂质代谢和相关疾病中的重要性，以获得相关的生物学见解，可靠的生物标志物，甚至未来的治疗方法。
It is becoming increasingly evident that epigenetic mechanisms, particularly DNA methylation, play a role in the regulation of blood lipid levels and lipid metabolism-linked phenotypes and diseases. Recent genome-wide methylation and candidate gene studies of blood lipids have highlighted several robustly replicated methylation markers across different ethnicities. Furthermore, many of these lipid-related CpG sites associated with blood lipids are also linked to lipid-related phenotypes and diseases. Integrating epigenome-wide association studies (EWAS) data with other layers of molecular data such as genetics or the transcriptome, accompanied by relevant statistical methods (e.g. Mendelian randomization), provides evidence for causal relationships. Recent data suggest that epigenetic changes can be consequences rather than causes of dyslipidemia. There is sparse information on many lipid classes and disorders of lipid metabolism, and also on the interplay of DNA methylation with other epigenetic layers such as histone modifications and regulatory RNAs. The current review provides a literature overview of epigenetic modifications in lipid metabolism and other lipid-related phenotypes and diseases focusing on EWAS of DNA methylation from January 2016 to September 2017. Recent studies strongly support the importance of epigenetic modifications, such as DNA methylation, in lipid metabolism and related diseases for relevant biological insights, reliable biomarkers, and even future therapeutics.