Associations of circulating proteins with lipoprotein profiles: proteomic analyses from the OmniHeart randomized trial and the Atherosclerosis Risk in Communities (ARIC) Study.

IF 2.8 3区 医学 Q2 BIOCHEMICAL RESEARCH METHODS
Hyunju Kim, Alice H Lichtenstein, Peter Ganz, Edgar R Miller, Josef Coresh, Lawrence J Appel, Casey M Rebholz
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引用次数: 0

Abstract

Background: Within healthy dietary patterns, manipulation of the proportion of macronutrient can reduce CVD risk. However, the biological pathways underlying healthy diet-disease associations are poorly understood. Using an untargeted, large-scale proteomic profiling, we aimed to (1) identify proteins mediating the association between healthy dietary patterns varying in the proportion of macronutrient and lipoproteins, and (2) validate the associations between diet-related proteins and lipoproteins in the Atherosclerosis Risk in Communities (ARIC) Study.

Methods: In 140 adults from the OmniHeart trial, a randomized, cross-over, controlled feeding study with 3 intervention periods (carbohydrate-rich; protein-rich; unsaturated fat-rich dietary patterns), 4,958 proteins were quantified at the end of each diet intervention period using an aptamer assay (SomaLogic). We assessed differences in log2-transformed proteins in 3 between-diet comparisons using paired t-tests, examined the associations between diet-related proteins and lipoproteins using linear regression, and identified proteins mediating these associations using a causal mediation analysis. Levels of diet-related proteins and lipoprotein associations were validated in the ARIC study (n = 11,201) using multivariable linear regression models, adjusting for important confounders.

Results: Three between-diet comparisons identified 497 significantly different proteins (protein-rich vs. carbohydrate-rich = 18; unsaturated fat-rich vs. carbohydrate-rich = 335; protein-rich vs. unsaturated fat-rich dietary patterns = 398). Of these, 9 proteins [apolipoprotein M, afamin, collagen alpha-3(VI) chain, chitinase-3-like protein 1, inhibin beta A chain, palmitoleoyl-protein carboxylesterase NOTUM, cathelicidin antimicrobial peptide, guanylate-binding protein 2, COP9 signalosome complex subunit 7b] were positively associated with lipoproteins [high-density lipoprotein (HDL)-cholesterol (C) = 2; triglyceride = 5; non-HDL-C = 3; total cholesterol to HDL-C ratio = 1]. Another protein, sodium-coupled monocarboxylate transporter 1, was inversely associated with HDL-C and positively associated with total cholesterol to HDL-C ratio. The proportion of the association between diet and lipoproteins mediated by these 10 proteins ranged from 21 to 98%. All of the associations between diet-related proteins and lipoproteins were significant in the ARIC study, except for afamin.

Conclusions: We identified proteins that mediate the association between healthy dietary patterns varying in macronutrients and lipoproteins in a randomized feeding study and an observational study.

Trial registration: NCT00051350 at clinicaltrials.gov.

Abstract Image

循环蛋白质与脂蛋白谱的关联:来自 OmniHeart 随机试验和社区动脉粥样硬化风险 (ARIC) 研究的蛋白质组学分析。
背景:在健康的膳食模式中,控制宏量营养素的比例可以降低心血管疾病的风险。然而,人们对健康饮食与疾病相关的生物通路知之甚少。我们采用非靶向的大规模蛋白质组分析方法,旨在:(1)确定介导不同宏量营养素比例的健康饮食模式与脂蛋白之间关联的蛋白质;(2)验证社区动脉粥样硬化风险(ARIC)研究中饮食相关蛋白质与脂蛋白之间的关联:OmniHeart试验是一项随机、交叉、对照喂养研究,分为3个干预期(富含碳水化合物;富含蛋白质;富含不饱和脂肪的饮食模式),在每个饮食干预期结束时,使用一种aptamer测定法(SomaLogic)对140名成年人的4958种蛋白质进行量化。我们使用配对 t 检验法评估了 3 种饮食间比较中对数 2 转换蛋白质的差异,使用线性回归法检验了饮食相关蛋白质与脂蛋白之间的关联,并使用因果中介分析法确定了介导这些关联的蛋白质。利用多变量线性回归模型,在ARIC研究(n = 11,201 人)中验证了饮食相关蛋白质的水平与脂蛋白的关联,并对重要的混杂因素进行了调整:结果:三种膳食之间的比较确定了 497 种明显不同的蛋白质(富含蛋白质与富含碳水化合物=18;富含不饱和脂肪与富含碳水化合物=335;富含蛋白质与富含不饱和脂肪的膳食模式=398)。其中,9种蛋白质[脂蛋白M、阿法明、胶原蛋白α-3(VI)链、几丁质酶-3样蛋白1、抑制素βA链、棕榈酰蛋白羧酸酯酶NOTUM、猫眼草素抗菌肽、鸟苷酸结合蛋白2、COP9信号体复合体亚基7b]与脂蛋白[高密度脂蛋白胆固醇(C)= 2;甘油三酯 = 5;非高密度脂蛋白胆固醇 = 3;总胆固醇与高密度脂蛋白胆固醇之比 = 1]。另一种蛋白质钠偶联单羧酸转运体 1 与高密度脂蛋白胆固醇成反比,与总胆固醇与高密度脂蛋白胆固醇的比率成正比。由这 10 种蛋白质介导的饮食与脂蛋白之间的关联比例从 21% 到 98% 不等。在ARIC研究中,除阿法明外,膳食相关蛋白与脂蛋白之间的所有关联都是显著的:我们在一项随机喂养研究和一项观察性研究中发现了介导不同宏量营养素的健康饮食模式与脂蛋白之间关系的蛋白质:试验注册:NCT00051350,在 clinicaltrials.gov。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Clinical proteomics
Clinical proteomics BIOCHEMICAL RESEARCH METHODS-
CiteScore
5.80
自引率
2.60%
发文量
37
审稿时长
17 weeks
期刊介绍: Clinical Proteomics encompasses all aspects of translational proteomics. Special emphasis will be placed on the application of proteomic technology to all aspects of clinical research and molecular medicine. The journal is committed to rapid scientific review and timely publication of submitted manuscripts.
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