Stratmann Bernd, Richter Katrin, Wang Ruichao, Yu Zhonghao, Xu Tao, Prehn Cornelia, Adamski Jerzy, Illig Thomas, Tschoepe Diethelm, Wang-Sattler Rui
Herz- und Diabeteszentrum NRW, Ruhr-Universitaet Bochum, Diabeteszentrum, 32545 Bad Oeynhausen, Germany.
Research Unit of Molecular Epidemiology, Helmholtz Zentrum München, 85764 Neuherberg, Germany.
Int J Endocrinol. 2017;2017:7938216. doi: 10.1155/2017/7938216. Epub 2017 Mar 2.
Coronary artery disease (CAD) is a common complication of type 2 diabetes mellitus (T2D). This case-control study was done to identify metabolites with different concentrations between T2D patients with and without CAD and to characterise implicated metabolic mechanisms relating to CAD. Fasting serum samples of 57 T2D subjects, 26 with (cases) and 31 without CAD (controls), were targeted for metabolite profiling of 163 metabolites. To assess the association between metabolite levels and CAD, partial least squares (PLS) analysis and multivariate logistic regression analysis with adjustment for CAD risk factors and medications were performed. We observed a separation of cases and controls with two classes of metabolites being significantly associated with CAD, including phosphatidylcholines, and serine. Four metabolites being independent from the common CAD risk factors displaying best separation between cases and controls were further selected. Addition of the metabolite concentrations to risk factor analysis raised the area under the receiver-operating-characteristic curve from 0.72 to 0.88 ( = 0.020), providing improved sensitivity and specificity for CAD classification. Serum phospholipid and serine levels independently discriminate T2D patients with and without CAD. Oxidative stress and reduced antioxidative capacity lead to lower metabolite concentrations probably due to changes in membrane composition and accelerated phospholipid degradation.
冠状动脉疾病(CAD)是2型糖尿病(T2D)的常见并发症。本病例对照研究旨在识别患有和未患有CAD的T2D患者之间浓度不同的代谢物,并描述与CAD相关的潜在代谢机制。对57名T2D受试者的空腹血清样本进行了163种代谢物的代谢物谱分析,其中26名患有CAD(病例组),31名未患有CAD(对照组)。为了评估代谢物水平与CAD之间的关联,进行了偏最小二乘法(PLS)分析以及对CAD风险因素和药物进行调整的多变量逻辑回归分析。我们观察到病例组和对照组有所区分,两类代谢物与CAD显著相关,包括磷脂酰胆碱和丝氨酸。进一步选择了四种独立于常见CAD风险因素且在病例组和对照组之间显示出最佳区分度的代谢物。将代谢物浓度添加到风险因素分析中,使受试者工作特征曲线下面积从0.72提高到0.88(P = 0.020),提高了CAD分类的敏感性和特异性。血清磷脂和丝氨酸水平可独立区分患有和未患有CAD的T2D患者。氧化应激和抗氧化能力降低可能由于膜组成的变化和磷脂降解加速导致代谢物浓度降低。