Bibliographic Details
| Title: |
Variants of the cry 1 gene may influence the effect of fat intake on resting metabolic rate in women with overweight of obesity: a cross-sectional study. |
| Authors: |
Mirzababaei, Atieh, Daneshzad, Elnaz, Shiraseb, Farideh, Pourreza, Sanaz, Setayesh, Leila, Clark, Cain C. T., Tangestani, Hadith, Abaj, Faezeh, Yarizadeh, Habib, Mirzaei, Khadijeh |
| Source: |
BMC Endocrine Disorders; 10/5/2021, Vol. 21 Issue 1, p1-14, 14p |
| Subject Terms: |
OBESITY genetics, BODY composition, UNSATURATED fatty acids, FAT content of food, BODY weight, GENETIC mutation, CROSS-sectional method, LEAN body mass, INGESTION, BASAL metabolism, BLOOD sugar, ALLELES, COMPARATIVE studies, GENES, GENOTYPES, QUESTIONNAIRES, BODY mass index, WOMEN'S health |
| Abstract: |
Background: Previous studies have shown that the minor allele (C allele) for Cry 1 rs2287161, may be associated with increased risk of cardiovascular diseases (CVDs). Low resting metabolic rate (RMR) caused by the diet has been shown to have, potentially, unfavorable effects on obesity. This study sought to investigate the interactions between the Cry 1 Gene and fat intake on RMR in women with overweight of obesity. Methods: This comparative cross-sectional study was conducted on 377 Iranian women with overweight of obesity. A food frequency questionnaire (FFQ), with 147 items, was used to assess dietary intake. Individuals were categorized into two groups based on the rs2287161 genotype. Body composition, dietary intake, and RMR were assessed for all participants. Results: There was a significant difference between genotypes for fasting blood sugar (FBS) (P = 0.04), fat free mass (FFM) (P = 0.0009), RMR per FFM (P = 0.05), RMR per body mass index (BMI) (P = 0.02), and RMR deviation (P = 0.01). Our findings also showed significant interactions between total fat and C allele carrier group on RMR per kg body weight, RMR per body surface area (BSA), RMR per FFM, and RMR deviation (P for interaction < 0.1), in addition to a significant interaction between CC + CG group genotype and polyunsaturated fatty acids (PUFA) intake on RMR per BMI (P for interaction =0.00) and RMR per kg (P for interaction = 0.02) and RMR per BSA (P = 0.07), compared to the GG group, after control for confounder factors. Conclusion: These results highlight that dietary compositions, gene variants, and their interaction, should be acutely considered in lower RMR. [ABSTRACT FROM AUTHOR] |
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| Database: |
Complementary Index |
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