Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States.
Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA, United States.
J Nutr. 2023 Oct;153(10):2994-3002. doi: 10.1016/j.tjnut.2023.08.001. Epub 2023 Aug 3.
Dairy consumption is related to chronic disease risk; however, the measurement of dairy consumption has largely relied upon self-report. Untargeted metabolomics allows for the identification of objective markers of dietary intake.
We aimed to identify associations between dietary dairy intake (total dairy, low-fat dairy, and high-fat dairy) and serum metabolites in 2 independent study populations of United States adults.
Dietary intake was assessed with food frequency questionnaires. Multivariable linear regression models were used to estimate cross-sectional associations between dietary intake of dairy and 360 serum metabolites analyzed in 2 subgroups of the Atherosclerosis Risk in Communities study (ARIC; n = 3776). Results from the 2 subgroups were meta-analyzed using fixed effects meta-analysis. Significant meta-analyzed associations in the ARIC study were then tested in the Bogalusa Heart Study (BHS; n = 785).
In the ARIC study and BHS, the mean age was 54 and 48 years, 61% and 29% were Black, and the mean dairy intake was 1.7 and 1.3 servings/day, respectively. Twenty-nine significant associations between dietary intake of dairy and serum metabolites were identified in the ARIC study (total dairy, n = 14; low-fat dairy, n = 10; high-fat dairy, n = 5). Three associations were also significant in BHS: myristate (14:0) was associated with high-fat dairy, and pantothenate was associated with total dairy and low-fat dairy, but 23 of the 27 associations significant in the ARIC study and tested in BHS were not associated with dairy in BHS.
We identified metabolomic associations with dietary intake of dairy, including 3 associations found in 2 independent cohort studies. These results suggest that myristate (14:0) and pantothenate (vitamin B5) are candidate biomarkers of dairy consumption.
乳制品的摄入与慢性病风险有关;然而,乳制品摄入量的测量在很大程度上依赖于自我报告。非靶向代谢组学可以识别饮食摄入的客观标志物。
我们旨在确定美国成年人的 2 个独立研究人群中饮食乳制品摄入(总乳制品、低脂乳制品和高脂乳制品)与血清代谢物之间的关联。
使用食物频率问卷评估饮食摄入。多变量线性回归模型用于估计 2 个亚组的横断面关联:动脉粥样硬化风险社区研究(ARIC;n = 3776)中的饮食乳制品摄入量和分析的 360 种血清代谢物。使用固定效应荟萃分析对这 2 个亚组的结果进行荟萃分析。然后在博加卢萨心脏研究(BHS;n = 785)中测试 ARIC 研究中显著的荟萃分析关联。
在 ARIC 研究和 BHS 中,平均年龄分别为 54 岁和 48 岁,61%和 29%为黑人,平均乳制品摄入量分别为 1.7 份/天和 1.3 份/天。在 ARIC 研究中,共确定了 29 个饮食乳制品摄入与血清代谢物之间的显著关联(总乳制品,n = 14;低脂乳制品,n = 10;高脂乳制品,n = 5)。BHS 中也有 3 个关联显著:豆蔻酸(14:0)与高脂乳制品相关,泛酸与总乳制品和低脂乳制品相关,但在 ARIC 研究中 27 个显著关联中有 23 个在 BHS 中与乳制品无关。
我们确定了与饮食乳制品摄入相关的代谢组学关联,包括在 2 个独立队列研究中发现的 3 个关联。这些结果表明,豆蔻酸(14:0)和泛酸(维生素 B5)可能是乳制品消费的候选生物标志物。