Section for Nutrition Research, Division of Digestive Diseases, Department of Metabolism, Digestion and Reproduction, Faculty of Medicine, Imperial College London, United Kingdom.
Section for Nutrition Research, Division of Digestive Diseases, Department of Metabolism, Digestion and Reproduction, Faculty of Medicine, Imperial College London, United Kingdom.
EBioMedicine. 2020 Aug;58:102932. doi: 10.1016/j.ebiom.2020.102932. Epub 2020 Aug 4.
Dietary advice remains the cornerstone of prevention and management of type 2 diabetes (T2D). However, understanding the efficacy of dietary interventions is confounded by the challenges inherent in assessing free living diet. Here we profiled dietary metabolites to investigate glycaemic deterioration and cardiometabolic risk in people at risk of or living with T2D.
We analysed data from plasma collected at baseline and 18-month follow-up in individuals from the Innovative Medicines Initiative (IMI) Diabetes Research on Patient Stratification (DIRECT) cohort 1 n = 403 individuals with normal or impaired glucose regulation (prediabetic) and cohort 2 n = 458 individuals with new onset of T2D. A dietary metabolite profile model (T) was constructed using multivariable regression of 113 plasma metabolites obtained from targeted metabolomics assays. The continuous T score was used to explore the relationships between diet, glycaemic deterioration and cardio-metabolic risk via multiple linear regression models.
A higher T score was associated with healthier diets high in wholegrain (β=3.36 g, 95% CI 0.31, 6.40 and β=2.82 g, 95% CI 0.06, 5.57) and lower energy intake (β=-75.53 kcal, 95% CI -144.71, -2.35 and β=-122.51 kcal, 95% CI -186.56, -38.46), and saturated fat (β=-0.92 g, 95% CI -1.56, -0.28 and β=-0.98 g, 95% CI -1.53, -0.42 g), respectively for cohort 1 and 2. In both cohorts a higher T score was also associated with lower total body adiposity and favourable lipid profiles HDL-cholesterol (β=0.07 mmol/L, 95% CI 0.03, 0.1), (β=0.08 mmol/L, 95% CI 0.04, 0.1), and triglycerides (β=-0.1 mmol/L, 95% CI -0.2, -0.03), (β=-0.2 mmol/L, 95% CI -0.3, -0.09), respectively for cohort 1 and 2. In cohort 2, the T score was negatively associated with liver fat (β=-0.74%, 95% CI -0.67, -0.81), and lower fasting concentrations of HbA1c (β=-0.9 mmol/mol, 95% CI -1.5, -0.1), glucose (β=-0.2 mmol/L, 95% CI -0.4, -0.05) and insulin (β=-11.0 pmol/mol, 95% CI -19.5, -2.6). Longitudinal analysis showed at 18-month follow up a higher T score was also associated lower total body adiposity in both cohorts and lower fasting glucose (β=-0.2 mmol/L, 95% CI -0.3, -0.01) and insulin (β=-9.2 pmol/mol, 95% CI -17.9, -0.4) concentrations in cohort 2.
Plasma dietary metabolite profiling provides objective measures of diet intake, showing a relationship to glycaemic deterioration and cardiometabolic health.
This work was supported by the Innovative Medicines Initiative Joint Undertaking under grant agreement no. 115,317 (DIRECT), resources of which are composed of financial contribution from the European Union's Seventh Framework Programme (FP7/2007-2013) and EFPIA companies.
饮食建议仍然是预防和管理 2 型糖尿病 (T2D) 的基石。然而,由于评估自由生活饮食固有挑战,理解饮食干预的效果变得复杂。在这里,我们分析了饮食代谢产物,以研究处于糖尿病风险或患有 T2D 的人群的血糖恶化和心血管代谢风险。
我们分析了来自创新药物倡议 (IMI) 糖尿病患者分层研究 (DIRECT) 队列 1(n=403 名血糖正常或葡萄糖调节受损的个体(糖尿病前期))和队列 2(n=458 名新发 T2D 的个体)的基线和 18 个月随访时的血浆数据。使用来自靶向代谢组学分析的 113 种血浆代谢产物的多变量回归构建了饮食代谢产物特征模型 (T)。使用连续 T 评分通过多元线性回归模型探索饮食、血糖恶化和心血管代谢风险之间的关系。
较高的 T 评分与更健康的饮食相关,这些饮食富含全谷物(β=3.36 g,95%CI 0.31, 6.40 和 β=2.82 g,95%CI 0.06, 5.57)和较低的能量摄入(β=-75.53 kcal,95%CI -144.71, -2.35 和 β=-122.51 kcal,95%CI -186.56, -38.46),分别为队列 1 和 2。在两个队列中,较高的 T 评分也与较低的总体身体脂肪量和有利的脂质谱相关,高密度脂蛋白胆固醇(β=0.07 mmol/L,95%CI 0.03, 0.1),(β=0.08 mmol/L,95%CI 0.04, 0.1)和甘油三酯(β=-0.1 mmol/L,95%CI -0.2, -0.03),(β=-0.2 mmol/L,95%CI -0.3, -0.09),分别为队列 1 和 2。在队列 2 中,T 评分与肝脂肪呈负相关(β=-0.74%,95%CI -0.67, -0.81),空腹血红蛋白 A1c(β=-0.9 mmol/mol,95%CI -1.5, -0.1),血糖(β=-0.2 mmol/L,95%CI -0.4, -0.05)和胰岛素(β=-11.0 pmol/mol,95%CI -19.5, -2.6)浓度较低。纵向分析显示,在 18 个月的随访中,较高的 T 评分也与两个队列中较低的总体身体脂肪量和较低的空腹血糖(β=-0.2 mmol/L,95%CI -0.3, -0.01)和胰岛素(β=-9.2 pmol/mol,95%CI -17.9, -0.4)浓度相关。
血浆饮食代谢产物分析提供了饮食摄入的客观测量,与血糖恶化和心血管代谢健康相关。
这项工作得到了创新药物倡议联合承诺的支持,根据协议编号 115,317(DIRECT),其资源由欧盟第七框架计划(FP7/2007-2013)和 EFPIA 公司的财务贡献组成。