Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China.
Ministry of Education Key Laboratory of Public Health Safety, School of Public Health, Institute of Nutrition, Fudan University, Shanghai, China.
Diabetes Care. 2023 Sep 1;46(9):1691-1699. doi: 10.2337/dc23-0314.
Few trials studied the links of food components in different diets with their induced lipidomic changes and related metabolic outcomes. Thus, we investigated specific lipidomic signatures with habitual diets and modified diabetes risk by using a trial and a cohort.
We included 231 Chinese with overweight and prediabetes in a randomized feeding trial with Mediterranean, traditional, or transitional diets (control diet) from February to September 2019. Plasma lipidomic profiles were measured at baseline, third month, and sixth month by high-throughput targeted liquid chromatography-mass spectrometry. Associations of the identified lipids with habitual dietary intakes were examined in another lipidomic database of a Chinese cohort (n = 1,117). The relationships between diet-induced changes of lipidomic species and diabetes risk factors were further investigated through both individual lipids and relevant modules in the trial.
Out of 364 lipidomic species, 26 altered across groups, including 12 triglyceride (TAG) fractions, nine plasmalogens, four phosphatidylcholines (PCs), and one phosphatidylethanolamine. TAG fractions and PCs were associated with habitual fish intake while plasmalogens were associated with red meat intake in the cohort. Of the diet-related lipidomic metabolites, 10 TAG fractions and PC(16:0/22:6) were associated with improved Matsuda index (β = 0.12 to 0.42; PFDR < 0.030). Two plasmalogens were associated with deteriorated fasting glucose (β = 0.29 to 0.31; PFDR < 0.014). Similar results were observed for TAG and plasmalogen related modules.
These fish- and red meat-related lipidomic signatures sensitively reflected different diets and modified type 2 diabetes risk factors, critical for optimizing dietary patterns.
很少有研究探讨不同饮食中的食物成分与诱导的脂质组变化及其相关代谢结果之间的联系。因此,我们通过一项试验和一个队列研究,调查了与习惯性饮食相关的特定脂质组特征,并通过改变饮食来降低糖尿病风险。
我们纳入了 231 名超重和前驱糖尿病的中国患者,在 2019 年 2 月至 9 月期间进行了一项随机对照的地中海饮食、传统饮食和过渡饮食(对照饮食)喂养试验。在基线、第 3 个月和第 6 个月,通过高通量靶向液相色谱-质谱法测量血浆脂质组谱。在另一项中国队列的脂质组数据库中(n=1117),我们检测了鉴定出的脂质与习惯性饮食摄入量之间的关系。通过试验中的个体脂质和相关模块,进一步研究了饮食诱导的脂质组变化与糖尿病危险因素之间的关系。
在 364 种脂质组学物质中,有 26 种物质在不同组之间发生了变化,包括 12 种甘油三酯(TAG)片段、9 种溶血磷脂、4 种磷脂酰胆碱(PC)和 1 种磷脂酰乙醇胺。TAG 片段和 PC 与习惯性鱼类摄入有关,而溶血磷脂与习惯性摄入红肉有关。在与饮食相关的脂质代谢物中,有 10 种 TAG 片段和 PC(16:0/22:6)与改善的 Matsuda 指数相关(β=0.12 至 0.42;PFDR<0.030)。有两种溶血磷脂与空腹血糖恶化相关(β=0.29 至 0.31;PFDR<0.014)。TAG 和溶血磷脂相关模块也观察到了类似的结果。
这些与鱼类和红肉相关的脂质组学特征敏感地反映了不同的饮食方式,并改变了 2 型糖尿病的危险因素,这对于优化饮食模式至关重要。