Patrick Borel1, Charles Desmarchelier2, Marion Nowicki2, Romain Bott2. 1. French National Institute for Agricultural Research, UMR INRA 1260, Marseille, France; French National Institute of Health and Medical Research, UMR_S 1062, Marseille, France; and Aix-Marseille Université, Nutrition, Obesity and Risk of Thrombosis, Marseille, France Patrick.Borel@univ-amu.fr. 2. French National Institute for Agricultural Research, UMR INRA 1260, Marseille, France; French National Institute of Health and Medical Research, UMR_S 1062, Marseille, France; and Aix-Marseille Université, Nutrition, Obesity and Risk of Thrombosis, Marseille, France.
Abstract
BACKGROUND: The bioavailability of β-carotene, the main dietary provitamin A carotenoid, varies among individuals. It is not known whether this variability can affect long-term β-carotene, and hence vitamin A, status. OBJECTIVES: We hypothesized that variations in genes involved in β-carotene absorption and postprandial metabolism could at least partially explain the high interindividual variability in β-carotene bioavailability. Thus, the main objectives of this study were to identify associated single-nucleotide polymorphisms (SNPs), and to estimate whether populations with different allele frequencies at these SNPs could have different abilities to absorb provitamin A carotenoids. METHODS: In this single-group design, 33 healthy, nonobese adult men were genotyped with the use of whole-genome microarrays. After an overnight fast, they consumed a test meal containing 100 g tomato puree providing 0.4 mg β-carotene. The postprandial plasma chylomicron β-carotene concentration was then measured at regular time intervals over 8 h. Partial least squares (PLS) regression was used to identify the best combination of SNPs in or near candidate genes (54 genes representing 2172 SNPs) that was associated with the postprandial chylomicron β-carotene response (incremental β-carotene area-under-the-curve concentration over 8 h in chylomicrons). RESULTS: The postprandial chylomicron β-carotene response was highly variable (CV = 105%) and was positively correlated with the fasting plasma β-carotene concentration (r = 0.78; P < 0.0001). A significant (P = 6.54 × 10(-3)) multivalidated PLS regression model, which included 25 SNPs in 12 genes, explained 69% of the variance in the postprandial chylomicron β-carotene response, i.e., β-carotene bioavailability. CONCLUSIONS: Interindividual variability in β-carotene bioavailability appears to be partially modulated by a combination of SNPs in 12 genes. This variability likely affects the long-term blood β-carotene status. A theoretic calculation of β-carotene bioavailability in 4 populations of the international HapMap project suggests that populations with different allele frequencies in these SNPs might exhibit a different ability to absorb dietary β-carotene. This trial was registered at clinicaltrials.gov as NCT02100774.
BACKGROUND: The bioavailability of β-carotene, the main dietary provitamin Acarotenoid, varies among individuals. It is not known whether this variability can affect long-term β-carotene, and hence vitamin A, status. OBJECTIVES: We hypothesized that variations in genes involved in β-carotene absorption and postprandial metabolism could at least partially explain the high interindividual variability in β-carotene bioavailability. Thus, the main objectives of this study were to identify associated single-nucleotide polymorphisms (SNPs), and to estimate whether populations with different allele frequencies at these SNPs could have different abilities to absorb provitamin Acarotenoids. METHODS: In this single-group design, 33 healthy, nonobese adult men were genotyped with the use of whole-genome microarrays. After an overnight fast, they consumed a test meal containing 100 g tomato puree providing 0.4 mg β-carotene. The postprandial plasma chylomicron β-carotene concentration was then measured at regular time intervals over 8 h. Partial least squares (PLS) regression was used to identify the best combination of SNPs in or near candidate genes (54 genes representing 2172 SNPs) that was associated with the postprandial chylomicron β-carotene response (incremental β-carotene area-under-the-curve concentration over 8 h in chylomicrons). RESULTS: The postprandial chylomicron β-carotene response was highly variable (CV = 105%) and was positively correlated with the fasting plasma β-carotene concentration (r = 0.78; P < 0.0001). A significant (P = 6.54 × 10(-3)) multivalidated PLS regression model, which included 25 SNPs in 12 genes, explained 69% of the variance in the postprandial chylomicron β-carotene response, i.e., β-carotene bioavailability. CONCLUSIONS: Interindividual variability in β-carotene bioavailability appears to be partially modulated by a combination of SNPs in 12 genes. This variability likely affects the long-term blood β-carotene status. A theoretic calculation of β-carotene bioavailability in 4 populations of the international HapMap project suggests that populations with different allele frequencies in these SNPs might exhibit a different ability to absorb dietary β-carotene. This trial was registered at clinicaltrials.gov as NCT02100774.
Authors: Luigi Barrea; Giuseppe Annunziata; Laura Bordoni; Giovanna Muscogiuri; Annamaria Colao; Silvia Savastano Journal: Int J Obes Suppl Date: 2020-07-20
Authors: P Ter Wee; M Kuhn; H van der Woude; D Van De Looverbosch; H Heyman; L Mikušová; D Fouque Journal: J Nutr Health Aging Date: 2016 Impact factor: 4.075
Authors: Wendy S White; Yang Zhou; Agatha Crane; Philip Dixon; Frits Quadt; Leonard M Flendrig Journal: Am J Clin Nutr Date: 2017-08-16 Impact factor: 7.045
Authors: Lewis P Rubin; A Catharine Ross; Charles B Stephensen; Torsten Bohn; Sherry A Tanumihardjo Journal: Adv Nutr Date: 2017-03-15 Impact factor: 8.701
Authors: Jessica L Cooperstone; Hilary J Goetz; Ken M Riedl; Earl H Harrison; Steven J Schwartz; Rachel E Kopec Journal: Am J Clin Nutr Date: 2017-05-17 Impact factor: 7.045
Authors: Torsten Bohn; Charles Desmarchelier; Lars O Dragsted; Charlotte S Nielsen; Wilhelm Stahl; Ralph Rühl; Jaap Keijer; Patrick Borel Journal: Mol Nutr Food Res Date: 2017-02-27 Impact factor: 5.914