Polymorphism of CLOCK gene rs3749474 as a modulator of the circadian evening carbohydrate intake impact on nutritional status in an adult sample
Entity
UAM. Departamento de Química Física AplicadaPublisher
MDPIDate
2020-04-19Citation
10.3390/nu12041142
Nutrients 12.4 (2020): 1142
ISSN
2072-6643 (online)DOI
10.3390/nu12041142Editor's Version
https://doi.org/10.3390/nu12041142Subjects
Dietary parameters; Carbohydrate intake; Obesity; Single nucleotide polymorphism; CLOCK gene; rs3749474; QuímicaRights
© 2020 by the authorsAbstract
The aim of this study was to evaluate the distribution of energy intake and macronutrients consumption throughout the day, and how its effect on nutritional status can be modulated by the presence of the rs3749474 polymorphism of the CLOCK gene in the Cantoblanco Platform for Nutritional Genomics (“GENYAL Platform”). This cross-sectional study was carried out on 898 volunteers between 18 and 69 years old (65.5% women). Anthropometric measurements, social issues and health, dietary, biochemical, genetic, and physical activity data were collected. Subsequently, 21 statistical interaction models were designed to predict the body mass index (BMI) considering seven dietary variables analyzed by three genetic models (adjusted by age, sex, and physical activity). The average BMI was 26.9 ± 4.65 kg/m2, 62.14% presented an excess weight (BMI > 25 kg/m2). A significant interaction was observed between the presence of the rs3749474 polymorphism and the evening carbohydrate intake (% of the total daily energy intake [%TEI]) (adjusted p = 0.046), when predicting the BMI. Participants carrying TT/CT genotype showed a positive association between the evening carbohydrate intake (%TEI) and BMI (β = 0.3379, 95% CI = (0.1689,0.5080)) and (β = 0.1529, 95% CI = (−0.0164,0.3227)), respectively, whereas the wild type allele (CC) showed a negative association (β = −0.0321, 95% CI = (−0.1505,0.0862)). No significant interaction with the remaining model variables was identified. New dietary strategies may be implemented to schedule the circadian distribution of macronutrients according to the genotype
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Google Scholar:Camblor Murube, Marina
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Borregon-Rivilla, Elena
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Colmenarejo, Gonzalo
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Aguilar-Aguilar, Elena
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Martínez, J. Alfredo
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Ramírez De Molina, Ana
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Reglero Rada, Guillermo J.
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Loria Kohen, Viviana
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