Author:
Kim Hyunju,Lichtenstein Alice H.,Ganz Peter,Miller Edgar R.,Coresh Josef,Appel Lawrence J.,Rebholz Casey M.
Abstract
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.
Funder
National Heart, Lung, and Blood Institute
National Institute of Diabetes and Digestive and Kidney Diseases
Publisher
Springer Science and Business Media LLC
Subject
Clinical Biochemistry,Molecular Biology,Molecular Medicine,Clinical Biochemistry,Molecular Biology,Molecular Medicine
Reference49 articles.
1. Lichtenstein AH, Appel LJ, Vadiveloo M, Hu FB, Kris-Etherton PM, Rebholz CM, et al. 2021 Dietary Guidance to improve Cardiovascular Health: A Scientific Statement from the American Heart Association. Circulation. 2021;144:e472–87.
2. US Department of Agriculture, US Department of Health and Human Services. Health and Human Services. Dietary guidelines for Americans, 2020–2025 [Internet]. Washington (DC): US Government Printing Office; 2020. Available from: dietaryguidelines.gov.
3. Appel LJ, Sacks FM, Carey VJ, Obarzanek E, Swain JF, Miller ER, et al. Effects of protein, monounsaturated fat, and carbohydrate intake on blood pressure and serum lipids: results of the OmniHeart Randomized trial. JAMA. 2005;294:2455.
4. Anderson NL, Anderson NG. The human plasma proteome: history, Character, and diagnostic Prospects*. Mol Cell Proteom. 2002;1:845–67.
5. Lee SE, Schulze K, West KP. Rainer Gross award lecture 2018: the childhood plasma proteome: discovering its applications in public health nutrition. Food Nutr Bull SAGE Publications Inc. 2019;40:144–50.
Cited by
1 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献