Dataset Information

Genetic Variants in Lipid Metabolism Pathways Interact with Diet to Influence Blood Lipid Concentrations in Adults with Overweight and Obesity (P15-015-19)

ABSTRACT: Abstract

Objectives

There is substantial controversy regarding the role of saturated (SFA) and unsaturated fat intake for optimal cardiometabolic health due to the heterogeneity of blood lipid changes in clinical trials. This variance may be due to genetic differences. Studying physiologically relevant variants can elucidate the mechanisms between genotype and metabolism. The objective of this study was to determine relationships between genetic variation, fat intake, and blood lipid concentrations.

Methods

DNA, blood lipid concentrations (total cholesterol, high-density lipoprotein cholesterol [HDL], and triglycerides [TG]), and 7-day diet records were obtained from 87 adults (25–45 years) with overweight or obesity. Resting energy expenditure (REE) was measured using indirect calorimetry and used to determine implausible intake using a modified Goldberg method (kilocalories/REE). Genetic variants included 22 single nucleotide polymorphisms (SNPs) from genes in lipid metabolism pathways. Variants were analyzed with dietary fat intake (total fat, SFA, monounsaturated fat [MUFA], and polyunsaturated fat) via regression analyses.

Results

Nine SNPs (ANGPTL3 rs10889337, ANGPTL4 rs7255436, APOE rs1044250, CETP rs5882, FADS1 rs174548 and rs174550, LPL rs13702 and rs328, PPARG rs12639162) were associated with one or more blood lipid traits. Two significant diet-gene interactions were detected: the interaction of total fat intake and LPL rs13702 was associated with HDL concentrations (P = 0.01), and the interaction of MUFA intake and CETP rs5882 was associated with TG concentrations (P = 0.01). Carriers of the minor allele that reported higher total fat intake exhibited higher HDL concentrations, while minor allele carriers with higher MUFA intake exhibited lower TG concentrations.

Conclusions

Interactions between diet and genes in lipid metabolism pathways were predictors of blood lipid concentrations in adults. Fat intake may not affect blood lipid concentrations uniformly across all individuals. Therefore, personalized diet recommendations for chronic disease prevention are warranted.

Funding Sources

Support is provided by the Hass Avocado Board, the Division of Nutritional Sciences at the University of Illinois at Urbana-Champaign, the USDA National Institute of Food and Agriculture Hatch Project, and the Agriculture and Food Research Initiative.

Supporting Tables, Images and/or Graphs

SUBMITTER: Hannon B

PROVIDER: S-EPMC6574556 | biostudies-literature | 2019 Jun

REPOSITORIES: biostudies-literature

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