Molecular Medicine Research Center, Tabriz University of Medical Sciences, Tabriz, Iran.
Department of Epidemiology, Robert Stempel College of Public Health, Florida International University, 1240 S.W.108 AVE, Path, University Park, Miami, FL, 33174, USA.
BMC Endocr Disord. 2023 Feb 15;23(1):41. doi: 10.1186/s12902-023-01289-3.
Recent studies have shown that dietary intakes and gene variants have a critical role in the obesity related comorbidities. This study aimed to evaluate the effects of the interactions between Fatty acid desaturase 2 (FADS2) gene rs174583 polymorphism and two dietary indices on cardiometabolic risk factors.
This cross-sectional study was carried out on 347 obese adults aged 20-50 years old in Tabriz, Iran. Healthy eating index (HEI) and Diet quality index-international (DQI-I) were evaluated by a validated semi-quantitative 147-item Food frequency questionnaire (FFQ). Polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP) was used to determine FADS2 gene variants. Multivariate analysis of covariance (MANCOVA) was used to identify gene-diet interactions on metabolic parameters.
Waist circumference (WC) and serum triglyceride (TG) levels were significantly higher among carriers of TT genotype of FADS2 gene (P < 0.05). In addition, the interactions between FADS2 gene rs174583 polymorphism and DQI-I had significant effects on weight (P = 0.01), fat mass (P = 0.04), fat free mass (P = 0.03), and Body mass index (BMI) (P = 0.02); the highest level of these parameters belonged to TT carriers. Similarly, the interactions between FADS2 gene variants and HEI had significant effects on insulin (P < 0.001), Homeostasis model assessment of insulin resistance (HOMA-IR) (P < 0.001), Quantitative insulin check index (QUICKI) (P = 0.001), and alpha Melanocyte stimulating hormone (α-MSH) (P = 0.03).
In this study, for the first time, we reported the effects of gene-diet interactions on metabolic traits. Compliance with dietary indices (DQI-I and HEI) ameliorated the adverse effects of gene variants on metabolic risk factors, especially in heterogeneous genotypes. Further prospective cohort studies are needed to confirm these results.
最近的研究表明,饮食摄入和基因变异在肥胖相关的合并症中起着关键作用。本研究旨在评估脂肪酸去饱和酶 2(FADS2)基因 rs174583 多态性与两种饮食指数之间的相互作用对心脏代谢危险因素的影响。
这项横断面研究在伊朗大不里士的 347 名 20-50 岁肥胖成年人中进行。通过经过验证的半定量 147 项食物频率问卷(FFQ)评估健康饮食指数(HEI)和饮食质量指数-国际(DQI-I)。聚合酶链反应-限制性片段长度多态性(PCR-RFLP)用于确定 FADS2 基因变异。多变量协方差分析(MANCOVA)用于确定基因-饮食相互作用对代谢参数的影响。
FADS2 基因 TT 基因型携带者的腰围(WC)和血清三酰甘油(TG)水平显著升高(P<0.05)。此外,FADS2 基因 rs174583 多态性与 DQI-I 之间的相互作用对体重(P=0.01)、脂肪量(P=0.04)、去脂体重(P=0.03)和体重指数(BMI)(P=0.02)有显著影响;这些参数的最高水平属于 TT 携带者。同样,FADS2 基因突变与 HEI 之间的相互作用对胰岛素(P<0.001)、胰岛素抵抗的稳态模型评估(HOMA-IR)(P<0.001)、定量胰岛素检查指数(QUICKI)(P=0.001)和α-促黑素细胞激素(α-MSH)(P=0.03)有显著影响。
在这项研究中,我们首次报道了基因-饮食相互作用对代谢特征的影响。遵守饮食指数(DQI-I 和 HEI)可以改善基因变异对代谢危险因素的不利影响,特别是在异质基因型中。需要进一步的前瞻性队列研究来证实这些结果。