Section on Genetics and Epidemiology, Research Division, Joslin Diabetes Center, Boston, MA.
Department of Medicine, Harvard Medical School, Boston, MA.
Diabetes Care. 2022 Aug 1;45(8):1882-1892. doi: 10.2337/dc21-1789.
To identify novel biomarkers of cardiovascular disease (CVD) risk in type 2 diabetes (T2D) via a hypothesis-free global metabolomics study, while taking into account renal function, an important confounder often overlooked in previous metabolomics studies of CVD.
We conducted a global serum metabolomics analysis using the Metabolon platform in a discovery set from the Joslin Kidney Study having a nested case-control design comprising 409 individuals with T2D. Logistic regression was applied to evaluate the association between incident CVD events and each of the 671 metabolites detected by the Metabolon platform, before and after adjustment for renal function and other CVD risk factors. Significant metabolites were followed up with absolute quantification assays in a validation set from the Joslin Heart Study including 599 individuals with T2D with and without clinical evidence of significant coronary heart disease (CHD).
In the discovery set, serum orotidine and 2-piperidinone were significantly associated with increased odds of incident CVD after adjustment for glomerular filtration rate (GFR) (odds ratio [OR] per SD increment 1.94 [95% CI 1.39-2.72], P = 0.0001, and 1.62 [1.26-2.08], P = 0.0001, respectively). Orotidine was also associated with increased odds of CHD in the validation set (OR 1.39 [1.11-1.75]), while 2-piperidinone did not replicate. Furthermore, orotidine, being inversely associated with GFR, mediated 60% of the effects of declining renal function on CVD risk. Addition of orotidine to established clinical predictors improved (P < 0.05) C statistics and discrimination indices for CVD risk (ΔAUC 0.053, rIDI 0.48, NRI 0.42) compared with the clinical predictors alone.
Through a robust metabolomics approach, with independent validation, we have discovered serum orotidine as a novel biomarker of increased odds of CVD in T2D, independent of renal function. Additionally, orotidine may be a biological mediator of the increased CVD risk associated with poor kidney function and may help improve CVD risk prediction in T2D.
通过无假设的全局代谢组学研究,确定 2 型糖尿病 (T2D) 患者心血管疾病 (CVD) 风险的新型生物标志物,同时考虑到肾功能,这是之前 CVD 代谢组学研究中经常被忽视的一个重要混杂因素。
我们使用代谢组学平台在 Joslin 肾脏研究的发现集中进行了全局血清代谢组学分析,该研究采用嵌套病例对照设计,包含 409 名 T2D 患者。应用逻辑回归评估了通过代谢组学平台检测到的 671 种代谢物中的每一种与 CVD 事件发生之间的关联,在调整肾功能和其他 CVD 危险因素之前和之后。在包含 599 名 T2D 患者的 Joslin 心脏研究的验证集中,我们对具有和不具有明显冠心病 (CHD) 临床证据的患者进行了绝对定量检测,以跟踪有显著意义的代谢物。
在发现集中,血清乳清酸和 2-哌啶酮在调整肾小球滤过率 (GFR) 后与 CVD 事件发生的几率增加显著相关(每标准差增量的比值比 [OR] 分别为 1.94 [95% CI 1.39-2.72],P = 0.0001 和 1.62 [1.26-2.08],P = 0.0001)。乳清酸在验证集中也与 CHD 发生几率增加相关(OR 1.39 [1.11-1.75]),而 2-哌啶酮则没有重复。此外,乳清酸与 GFR 呈负相关,其介导了肾功能下降对 CVD 风险影响的 60%。与单独使用临床预测因子相比,将乳清酸添加到既定的临床预测因子中可改善 CVD 风险的 C 统计量和区分指数(ΔAUC 0.053,rIDI 0.48,NRI 0.42)。
通过稳健的代谢组学方法,我们在独立验证的基础上发现了血清乳清酸是 T2D 患者 CVD 几率增加的新型生物标志物,与肾功能无关。此外,乳清酸可能是与肾功能不良相关的 CVD 风险增加的生物学介质,并可能有助于改善 T2D 患者的 CVD 风险预测。