Liu Jun, van Klinken Jan Bert, Semiz Sabina, van Dijk Ko Willems, Verhoeven Aswin, Hankemeier Thomas, Harms Amy C, Sijbrands Eric, Sheehan Nuala A, van Duijn Cornelia M, Demirkan Ayşe
Department of Epidemiology, Erasmus Medical Center, Rotterdam, the Netherlands.
Department of Human Genetics, Leiden University Medical Center, Leiden, the Netherlands.
Diabetes. 2017 Nov;66(11):2915-2926. doi: 10.2337/db17-0199. Epub 2017 Aug 28.
Mendelian randomization (MR) provides us the opportunity to investigate the causal paths of metabolites in type 2 diabetes and glucose homeostasis. We developed and tested an MR approach based on genetic risk scoring for plasma metabolite levels, utilizing a pathway-based sensitivity analysis to control for nonspecific effects. We focused on 124 circulating metabolites that correlate with fasting glucose in the Erasmus Rucphen Family (ERF) study ( = 2,564) and tested the possible causal effect of each metabolite with glucose and type 2 diabetes and vice versa. We detected 14 paths with potential causal effects by MR, following pathway-based sensitivity analysis. Our results suggest that elevated plasma triglycerides might be partially responsible for increased glucose levels and type 2 diabetes risk, which is consistent with previous reports. Additionally, elevated HDL components, i.e., small HDL triglycerides, might have a causal role of elevating glucose levels. In contrast, large (L) and extra large (XL) HDL lipid components, i.e., XL-HDL cholesterol, XL-HDL-free cholesterol, XL-HDL phospholipids, L-HDL cholesterol, and L-HDL-free cholesterol, as well as HDL cholesterol seem to be protective against increasing fasting glucose but not against type 2 diabetes. Finally, we demonstrate that genetic predisposition to type 2 diabetes associates with increased levels of alanine and decreased levels of phosphatidylcholine alkyl-acyl C42:5 and phosphatidylcholine alkyl-acyl C44:4. Our MR results provide novel insight into promising causal paths to and from glucose and type 2 diabetes and underline the value of additional information from high-resolution metabolomics over classic biochemistry.
孟德尔随机化(MR)为我们提供了研究2型糖尿病和葡萄糖稳态中代谢物因果路径的机会。我们开发并测试了一种基于血浆代谢物水平遗传风险评分的MR方法,利用基于通路的敏感性分析来控制非特异性效应。在伊拉斯谟鲁芬家族(ERF)研究(n = 2564)中,我们聚焦于124种与空腹血糖相关的循环代谢物,并测试了每种代谢物与葡萄糖及2型糖尿病之间可能的因果效应,反之亦然。经过基于通路的敏感性分析,我们通过MR检测到14条具有潜在因果效应的路径。我们的结果表明,血浆甘油三酯升高可能部分导致葡萄糖水平升高和2型糖尿病风险增加,这与之前的报道一致。此外,高密度脂蛋白(HDL)成分升高,即小HDL甘油三酯,可能在升高葡萄糖水平方面具有因果作用。相比之下,大(L)和超大(XL)HDL脂质成分,即XL-HDL胆固醇、XL-HDL游离胆固醇、XL-HDL磷脂、L-HDL胆固醇和L-HDL游离胆固醇,以及HDL胆固醇似乎对空腹血糖升高具有保护作用,但对2型糖尿病无保护作用。最后,我们证明2型糖尿病的遗传易感性与丙氨酸水平升高以及磷脂酰胆碱烷基酰基C42:5和磷脂酰胆碱烷基酰基C44:4水平降低有关。我们的MR结果为葡萄糖与2型糖尿病之间有前景的因果路径提供了新的见解,并强调了高分辨率代谢组学相较于经典生物化学所提供的额外信息的价值。