Tongzhu Meng1, Stan Kubow1, Daiva E Nielsen2. 1. School of Human Nutrition, McGill University, 21111 Lakeshore Road, Sainte Anne de Bellevue, QC, H9X 3V9, Canada. 2. School of Human Nutrition, McGill University, 21111 Lakeshore Road, Sainte Anne de Bellevue, QC, H9X 3V9, Canada. daiva.nielsen@mcgill.ca.
Abstract
BACKGROUND: The CD36 gene is a candidate for sensory detection of fatty acids and has been associated with individual differences in fat preferences and consumption. Excess adiposity may compromise sensory detection, but few studies have examined whether associations between CD36 variants and fat consumption differ between underweight/normal weight (UW/NW) and overweight/obese (OW/OB) individuals. METHODS: Diet (assessed by food frequency questionnaire), genetic (nine variants), body mass index (BMI), lifestyle and biomarker data were obtained from the CARTaGENE biobank (n = 12,065), a Quebec cohort of middle-aged adults. Primary outcome variables included intakes (%kcal/day) of total, saturated (SFA), monounsaturated (MUFA) and polyunsaturated (PUFA) fatty acids. Secondary outcome variables included consumption (servings/day) of four food categories with high-fat content (added fats and oils, high-fat foods, desserts and MUFA- and PUFA-rich foods) and biomarkers of chronic disease. Multivariable regression models stratified by BMI category were used to assess associations between CD36 variants and outcome variables. RESULTS: Among UW/NW, rs1049654 and rs10499859 were associated with higher intakes of total fat, MUFA and PUFA (all P < 0.05), while rs1527483 and rs3211956 were associated with higher SFA (P = 0.0278) and lower PUFA (P = 0.0466) intake, respectively. Rs1527483 and rs3211956 were also associated with higher consumption of high-fat foods and desserts (all P < 0.05). Among OW, rs1054516 and rs3173798 were associated with higher SFA intake (both P < 0.05), and rs1054516 was also associated with higher serum triglycerides (P = 0.0065). CONCLUSIONS: CD36 variants are associated with habitual fat consumption, which may play a role in subsequent associations with chronic-disease biomarkers. Associations differ by BMI status and dietary fat type.
BACKGROUND: The CD36 gene is a candidate for sensory detection of fatty acids and has been associated with individual differences in fat preferences and consumption. Excess adiposity may compromise sensory detection, but few studies have examined whether associations between CD36 variants and fat consumption differ between underweight/normal weight (UW/NW) and overweight/obese (OW/OB) individuals. METHODS: Diet (assessed by food frequency questionnaire), genetic (nine variants), body mass index (BMI), lifestyle and biomarker data were obtained from the CARTaGENE biobank (n = 12,065), a Quebec cohort of middle-aged adults. Primary outcome variables included intakes (%kcal/day) of total, saturated (SFA), monounsaturated (MUFA) and polyunsaturated (PUFA) fatty acids. Secondary outcome variables included consumption (servings/day) of four food categories with high-fat content (added fats and oils, high-fat foods, desserts and MUFA- and PUFA-rich foods) and biomarkers of chronic disease. Multivariable regression models stratified by BMI category were used to assess associations between CD36 variants and outcome variables. RESULTS: Among UW/NW, rs1049654 and rs10499859 were associated with higher intakes of total fat, MUFA and PUFA (all P < 0.05), while rs1527483 and rs3211956 were associated with higher SFA (P = 0.0278) and lower PUFA (P = 0.0466) intake, respectively. Rs1527483 and rs3211956 were also associated with higher consumption of high-fat foods and desserts (all P < 0.05). Among OW, rs1054516 and rs3173798 were associated with higher SFA intake (both P < 0.05), and rs1054516 was also associated with higher serum triglycerides (P = 0.0065). CONCLUSIONS: CD36 variants are associated with habitual fat consumption, which may play a role in subsequent associations with chronic-disease biomarkers. Associations differ by BMI status and dietary fat type.
Authors: Elie Chamoun; David M Mutch; Emma Allen-Vercoe; Andrea C Buchholz; Alison M Duncan; Lawrence L Spriet; Jess Haines; David W L Ma Journal: Crit Rev Food Sci Nutr Date: 2017-07-21 Impact factor: 11.176