Abstract
BackgroundIt has been reported that dietary fats and genetic factors in individuals are associated with the pattern of fat distribution. This study aimed to evaluate the interaction between dietary fats intake and Caveolin1 (CAV-1) rs 3807s992 polymorphism with fat distribution in overweight and obese women.MethodsA total of 221 participants were included in the current cross-sectional study. Body composition, biochemical parameters were evaluated by body composition analyzer and Pars Azmoon kits and genotypes determination was performed by PCR–RFLP, dietary fats were measured using a validated semi-quantitative food frequency questionnaire (FAQ).ResultsThe frequency of GG, AA and AG genotypes were 53.1, 24.6, and 22.3%, respectively, and the mean intake of total dietary fat intake was 97.47 ± 36.87 g. There was positive significant interaction between total fat intake and AA genotype on visceral fat level (p = 0.001), trunk fat (p = 0.01) and waist circumference (p = 0.05), positive significant interaction between total fat intake and AG genotype on the waist to hip ratio (WHR) (p = 0.02) and visceral fat level (p = 0.05), positive borderline significant interaction between saturated fatty acid and AA genotype on the trunk fat (p = 0.06), and between trans-fatty acids and AG genotype on WHR (p = 0.04), visceral fat level (p = 0.01), and between monounsaturated fatty acid and AG genotype on WHR (p = 0.04), and a borderline interaction between polyunsaturated fatty acid and AA genotypes on visceral fat level (p = 0.06), negative significant interaction between AG genotypes and linolenic acid on WHR (p = 0.04), borderline significant interaction between ALA and AG genotype on WHR (p = 0.06).ConclusionsOur findings showed that CAV-1 rs 3807992 polymorphism and dietary fats were associated with fat distributions in individuals.
Highlights
Obesity is the biggest public health challenge of the current century and for this reason in many countries obesity and central obesity have become the main health issues [1, 2]
In post-hoc analysis (Bonferroni), we found significant differences for means Waist circumference (WC), Weight to height ratio (WHtR), visceral fat level, fat mass index (FMI), percent body fat in tertile 2 and tertile 3 and there was significant difference for the mean of hip circumference (HC) in tertile 1 and 3, serum High-density lipoprotein-cholesterol (HDL-C) in tertiles 1 and 2, that their mean in tertile 3 was higher than tertile 2 and tertile 1 and there was significant difference for mean weight, body mass index (BMI) and body fat mass in between tertiles
Other studies have found the opposite relationship between body weight with total dietary fat and its subtypes so that prospective cohort studies have shown a positive relation between Trans-fatty acid (TFA) intake with weight changes, and in a study that examined the relationship between Saturated fatty acid (SFA) and Monounsaturated fatty acid (MUFA) on the body composition, have shown that significantly higher weight after the SFA than the MUFA-rich diet [45, 46]
Summary
Obesity is the biggest public health challenge of the current century and for this reason in many countries obesity and central obesity have become the main health issues [1, 2]. Aali et al BMC Med Genomics (2021) 14:265 the frequency of central obesity in Iranian women 34.4% [3, 4] It is a multifactorial disease when the energy intake is more than the energy expenditure, excess energy store in fat tissue and causes obesity [5]. Apart from diet some of the genotype polymorphism have a key role in fat distribution meta-analysis studies about genome-wide association studies (GWAS) reported that 97 and 49 genetic loci were related to BMI and WHR [20, 21]. One of the genes that could possibly affect a person’s body weight is Caveolin (CAV-1), so that its expression in the adipose tissue is augmented in obese patients with or without type 2 diabetes mellitus that this could be due to the increased transport of fatty acids to the plasma membrane [22]. This study aimed to evaluate the interaction between dietary fats intake and Caveolin (CAV-1) rs 3807s992 polymorphism with fat distribution in overweight and obese women
Sign-in/Register to view highlights & summary Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
