Polymorphism of CLOCK Gene rs3749474 as a Modulator of the Circadian Evening Carbohydrate Intake Impact on Nutritional Status in an Adult Sample
| Autor: | Marina Camblor Murube, Gonzalo Colmenarejo, Guillermo Reglero, Viviana Loria-Kohen, J. Alfredo Martínez, Ana Ramírez de Molina, Elena Aguilar-Aguilar, Elena Borregon-Rivilla |
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| Přispěvatelé: | UAM. Departamento de Química Física Aplicada |
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
Male
obesity carbohydrate intake Physiology CLOCK Proteins Body Mass Index Eating 0302 clinical medicine single nucleotide polymorphism Genotype Nutritional Physiological Phenomena 030212 general & internal medicine Nutrition and Dietetics Química Middle Aged Female lcsh:Nutrition. Foods and food supply Adult Evening Adolescent Dietética y nutrición Nutritional Status lcsh:TX341-641 030209 endocrinology & metabolism Single-nucleotide polymorphism Article 03 medical and health sciences Young Adult Circadian Clocks Genetic model medicine Dietary Carbohydrates Dietary parameters Humans Circadian rhythm Obesity Alleles Aged CLOCK gene Polymorphism Genetic business.industry Appetite Regulation Anthropometry medicine.disease Single nucleotide polymorphism Cross-Sectional Studies Carbohydrate intake business dietary parameters Energy Intake Body mass index rs3749474 Food Science |
| Zdroj: | Nutrients Biblos-e Archivo. Repositorio Institucional de la UAM instname Volume 12 Issue 4 E-Prints Complutense: Archivo Institucional de la UCM Universidad Complutense de Madrid Nutrients, Vol 12, Iss 1142, p 1142 (2020) Biblos-e Archivo: Repositorio Institucional de la UAM Universidad Autónoma de Madrid E-Prints Complutense. Archivo Institucional de la UCM Digital.CSIC. Repositorio Institucional del CSIC |
| ISSN: | 2072-6643 |
| Popis: | 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 (&ldquo GENYAL Platform&rdquo ). 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 (&beta = 0.3379, 95% CI = (0.1689,0.5080)) and (&beta = 0.1529, 95% CI = (&minus 0.0164,0.3227)), respectively, whereas the wild type allele (CC) showed a negative association (&beta = &minus 0.0321, 95% CI = (&minus 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. Clinical Trial number: NCT04067921. |
| Databáze: | OpenAIRE |
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