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.
Adult
Basal Metabolism
/ drug effects
Body Weight
Cross-Sectional Studies
Cryptochromes
/ genetics
Dietary Fats
/ administration & dosage
Eating
/ genetics
Female
Gene Frequency
Genetic Predisposition to Disease
Genotype
Humans
Iran
/ epidemiology
Middle Aged
Obesity
/ epidemiology
Overweight
/ epidemiology
Polymorphism, Single Nucleotide
Cry 1
Fat intake
Interaction
Obesity
Overweight
PUFA
Resting metabolic rate
SFA
Journal
BMC endocrine disorders
ISSN: 1472-6823
Titre abrégé: BMC Endocr Disord
Pays: England
ID NLM: 101088676
Informations de publication
Date de publication:
05 Oct 2021
05 Oct 2021
Historique:
received:
28
03
2021
accepted:
16
08
2021
entrez:
6
10
2021
pubmed:
7
10
2021
medline:
4
2
2022
Statut:
epublish
Résumé
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. 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. 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. These results highlight that dietary compositions, gene variants, and their interaction, should be acutely considered in lower RMR.
Sections du résumé
BACKGROUND
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
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
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
CONCLUSIONS
These results highlight that dietary compositions, gene variants, and their interaction, should be acutely considered in lower RMR.
Identifiants
pubmed: 34610814
doi: 10.1186/s12902-021-00860-0
pii: 10.1186/s12902-021-00860-0
pmc: PMC8493740
doi:
Substances chimiques
CRY1 protein, human
0
Cryptochromes
0
Dietary Fats
0
Types de publication
Comparative Study
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
196Informations de copyright
© 2021. The Author(s).
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