Cardiometabolics Unit, Icahn School of Medicine at Mount Sinai, Hospital Box 1030, One Gustave L. Levy Place, New York, New York 10029, USA.
Medstar Heart and Vascular Institute, Washington Hospital Center, 110 Irving Street NW, Washington, DC 20010, USA.
Nat Rev Cardiol. 2018 Jan;15(1):9-19. doi: 10.1038/nrcardio.2017.115. Epub 2017 Aug 10.
Plasma levels of HDL cholesterol (HDL-C) predict the risk of cardiovascular disease at the epidemiological level, but a direct causal role for HDL in cardiovascular disease remains controversial. Studies in animal models and humans with rare monogenic disorders link only particular HDL-associated mechanisms with causality, including those mechanisms related to particle functionality rather than cholesterol content. Mendelian randomization studies indicate that most genetic variants that affect a range of pathways that increase plasma HDL-C levels are not usually associated with reduced risk of cardiovascular disease, with some exceptions, such as cholesteryl ester transfer protein variants. Furthermore, only a fraction of HDL-C variation has been explained by known loci from genome-wide association studies (GWAS), suggesting the existence of additional pathways and targets. Systems genetics can enhance our understanding of the spectrum of HDL pathways, particularly those pathways that involve new and non-obvious GWAS loci. Bioinformatic approaches can also define new molecular interactions inferred from both large-scale genotypic data and RNA sequencing data to reveal biologically meaningful gene modules and networks governing HDL metabolism with direct relevance to disease end points. Targeting these newly recognized causal networks might inform the development of novel therapeutic strategies to reduce the risk of cardiovascular disease.
血浆高密度脂蛋白胆固醇(HDL-C)水平可预测流行病学水平的心血管疾病风险,但 HDL 在心血管疾病中的直接因果作用仍存在争议。动物模型和罕见单基因疾病患者的研究仅将某些与 HDL 相关的机制与因果关系联系起来,包括与颗粒功能而非胆固醇含量相关的机制。孟德尔随机化研究表明,大多数影响增加血浆 HDL-C 水平的多种途径的遗传变异通常与心血管疾病风险降低无关,但也有一些例外,如胆固醇酯转移蛋白变异。此外,已知的全基因组关联研究(GWAS)位点只能解释 HDL-C 变化的一小部分,这表明存在其他途径和靶点。系统遗传学可以增强我们对 HDL 途径范围的理解,特别是那些涉及新的和不明显的 GWAS 位点的途径。生物信息学方法还可以从大规模基因型数据和 RNA 测序数据中定义新的分子相互作用,以揭示与疾病终点直接相关的、控制 HDL 代谢的具有生物学意义的基因模块和网络。针对这些新识别的因果网络可能为开发降低心血管疾病风险的新型治疗策略提供信息。