健康膳食模式的血浆蛋白质生物标志物：来自动脉粥样硬化风险社区研究和弗雷明汉心脏研究的结果。
Plasma Protein Biomarkers of Healthy Dietary Patterns: Results from the Atherosclerosis Risk in Communities Study and the Framingham Heart Study.
机构信息
Department of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA; Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins University, Baltimore, MD, USA.
Department of Health Sciences, Sargent College of Health and Rehabilitation Sciences, Boston University, Boston, MA, USA; Section of Preventive Medicine and Epidemiology, Department of Medicine, Boston University School of Medicine, Boston, MA, USA.
出版信息
J Nutr. 2023 Jan;153(1):34-46. doi: 10.1016/j.tjnut.2022.11.008. Epub 2022 Dec 21.
BACKGROUND
Molecular mechanisms underlying the benefits of healthy dietary patterns are poorly understood. Identifying protein biomarkers of dietary patterns can contribute to characterizing biological pathways influenced by food intake.
OBJECTIVES
This study aimed to identify protein biomarkers associated with four indexes of healthy dietary patterns: Healthy Eating Index-2015 (HEI-2015); Alternative Healthy Eating Index-2010 (AHEI-2010); DASH diet; and alternate Mediterranean Diet (aMED).
METHODS
Analyses were conducted on 10,490 Black and White men and women aged 49-73 y from the ARIC study at visit 3 (1993-1995). Dietary intake data were collected using a food frequency questionnaire, and plasma proteins were quantified using an aptamer-based proteomics assay. Multivariable linear regression models were used to examine the association between 4955 proteins and dietary patterns. We performed pathway overrepresentation analysis for diet-related proteins. An independent study population from the Framingham Heart Study was used for replication analyses.
RESULTS
In the multivariable-adjusted models, 282 out of 4955 proteins (5.7%) were significantly associated with at least one dietary pattern (HEI-2015: 137; AHEI-2010: 72; DASH: 254; aMED: 35; P value < 0.05/4955 = 1.01 × 10). There were 148 proteins that were associated with only one dietary pattern (HEI-2015: 22; AHEI-2010: 5; DASH: 121; aMED: 0), and 20 proteins were associated with all four dietary patterns. Five unique biological pathways were significantly enriched by diet-related proteins. Seven out of 20 proteins associated with all dietary patterns in the ARIC study were available for replication analyses, and 6 out of these 7 proteins were consistent in direction and significantly associated with at least 1 dietary pattern in the Framingham Heart Study (HEI-2015: 2; AHEI-2010: 4; DASH: 6; aMED: 4; P value < 0.05/7 = 7.14 × 10).
CONCLUSIONS
A large-scale proteomic analysis identified plasma protein biomarkers that are representative of healthy dietary patterns among middle-aged and older US adult population. These protein biomarkers may be useful objective indicators of healthy dietary patterns.
背景
健康饮食模式带来的益处的分子机制尚不清楚。鉴定饮食模式的蛋白质生物标志物有助于描述受食物摄入影响的生物学途径。
目的
本研究旨在鉴定与四种健康饮食模式指数相关的蛋白质生物标志物：健康饮食指数-2015（HEI-2015）；替代健康饮食指数-2010（AHEI-2010）；得舒饮食（DASH）和交替地中海饮食（aMED）。
方法
分析了来自 ARIC 研究的 10490 名 49-73 岁的黑人和白人在第三次访问（1993-1995 年）时的数据。膳食摄入量数据通过食物频率问卷收集，血浆蛋白通过基于适配子的蛋白质组学测定进行定量。使用多变量线性回归模型来研究 4955 种蛋白质与饮食模式之间的关系。我们对与饮食相关的蛋白质进行了通路过表达分析。弗雷明汉心脏研究的独立研究人群用于复制分析。
结果
在多变量调整模型中，4955 种蛋白质中有 282 种（5.7%）与至少一种饮食模式显著相关（HEI-2015：137；AHEI-2010：72；DASH：254；aMED：35；P 值<0.05/4955=1.01×10）。只有一种饮食模式相关的蛋白质有 148 种（HEI-2015：22；AHEI-2010：5；DASH：121；aMED：0），与所有四种饮食模式相关的蛋白质有 20 种。通过与饮食相关的蛋白质，有 5 个独特的生物学途径显著富集。在 ARIC 研究中与所有饮食模式相关的 20 种蛋白质中有 7 种可用于复制分析，其中 7 种在弗雷明汉心脏研究中以相同的方向且与至少 1 种饮食模式显著相关（HEI-2015：2；AHEI-2010：4；DASH：6；aMED：4；P 值<0.05/7=7.14×10）。
结论
大规模蛋白质组学分析鉴定了代表美国中老年人群健康饮食模式的血浆蛋白质生物标志物。这些蛋白质生物标志物可能是健康饮食模式的有用客观指标。
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