Glenn Andrea J, Tessier Anne-Julie, Kavanagh Meaghan E, Morgan Gloria A, Clish Clary B, Salas-Salvado Jordi, Malik Vasanti S, Hanley Anthony J, Bazinet Richard P, Comelli Elena M, El-Sohemy Ahmed, Liu Simin, Boucher Beatrice A, Kendall Cyril W C, Jenkins David J A, Hu Frank B, Sievenpiper John L
Department of Nutrition and Food Studies, New York University, New York, NY, USA.
Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Eur J Clin Nutr. 2025 Apr 22. doi: 10.1038/s41430-025-01625-x.
Objective biomarkers of diet, such as metabolomics, may improve dietary assessment and provide additional insight into how diet influences disease risk. The portfolio diet, a cholesterol-lowering plant-based diet, is recommended for lowering low-density lipoprotein cholesterol (LDL-C). This diet is low in saturated fat and includes nuts, plant protein (legumes), viscous fiber, and phytosterols.
We examined metabolomic profiles in response to the portfolio diet in two randomized controlled trials (RCTs), where all foods were provided to the participants, compared to a control vegetarian diet and the same control diet with a statin.
The first RCT included 34 adults (age 58.4 ± 8.6 y) and the second RCT included 25 adults (age 61.0 ± 9.6 y), all with high LDL-C (>4.1 mmol/L). Plasma samples were obtained at baseline, week 2, and week 4 in both RCTs for metabolomics analysis using liquid chromatography-tandem mass spectrometry. Linear mixed models were used to examine effects of the interventions on the metabolites in each RCT, applying a Bonferroni correction.
Of 496 known metabolites, 145 and 63 metabolites significantly changed within the portfolio diet interventions in the first and second RCT, respectively. The majority were glycerophosphocholines (32%), triacylglycerols (20%), glycerophosphoethanolamines (14%), sphingomyelins (8%), and amino acids and peptides (8%) in the first RCT, and glycerophosphocholines (48%), glycerophosphoethanolamines (17%), and amino acids and peptides (8%) in the second RCT. Fifty-two metabolites were consistently changed in the same direction with the portfolio diet intervention across both RCTs, after Bonferroni correction.
Many of these metabolites likely reflect the plant-based nature, low saturated fat content, and cholesterol-lowering effects of the diet, such as increased N2-acetylornithine, L-pipecolic acid, lenticin, and decreased C18:0 lipids and cholesteryl esters. Further research is needed to validate these metabolites as biomarkers of a plant-based dietary pattern.
饮食的客观生物标志物,如代谢组学,可能会改善饮食评估,并为饮食如何影响疾病风险提供更多见解。组合饮食是一种以植物为基础的降胆固醇饮食,推荐用于降低低密度脂蛋白胆固醇(LDL-C)。这种饮食饱和脂肪含量低,包括坚果、植物蛋白(豆类)、粘性纤维和植物甾醇。
在两项随机对照试验(RCT)中,我们研究了组合饮食对代谢组学特征的影响,试验中为参与者提供了所有食物,并将其与对照素食饮食以及添加了他汀类药物的相同对照饮食进行比较。
第一项RCT纳入了34名成年人(年龄58.4±8.6岁),第二项RCT纳入了25名成年人(年龄61.0±9.6岁),所有参与者的LDL-C均较高(>4.1 mmol/L)。在两项RCT的基线、第2周和第4周采集血浆样本,使用液相色谱 - 串联质谱法进行代谢组学分析。使用线性混合模型检查干预措施对每项RCT中代谢物的影响,并应用Bonferroni校正。
在496种已知代谢物中,第一项和第二项RCT的组合饮食干预分别使145种和63种代谢物发生了显著变化。在第一项RCT中,大多数是甘油磷酸胆碱(32%)、三酰甘油(20%)、甘油磷酸乙醇胺(14%)、鞘磷脂(8%)以及氨基酸和肽(8%);在第二项RCT中,是甘油磷酸胆碱(48%)、甘油磷酸乙醇胺(17%)以及氨基酸和肽(8%)。经过Bonferroni校正后,两项RCT中共有52种代谢物在组合饮食干预下朝着相同方向持续变化。
这些代谢物中的许多可能反映了该饮食以植物为基础的性质、低饱和脂肪含量和降胆固醇作用,例如N2 - 乙酰鸟氨酸、L - 哌啶酸、亮氨酸增加,以及C18:0脂质和胆固醇酯减少。需要进一步研究来验证这些代谢物作为基于植物的饮食模式生物标志物的有效性。