Department of Community Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences (TUMS), P.O. Box 14155-6117, Tehran, Iran.
Department of Paraclinic, School of Medicine, Herat University, Herat, Afghanistan.
BMC Med Genomics. 2021 Aug 12;14(1):202. doi: 10.1186/s12920-021-01050-6.
Metabolic syndrome (MetS) is associated with an increased risk of morbidity and mortality in almost all chronic diseases. The most frequent methods for the calculation of a continuous MetS (cMetS) score have used the standardized residuals in linear regression (z-score). Recently, emerging data suggest that one of the main genetic targets is the CAV1, which plays a crucial role in regulating body fat distribution. This study is designed to investigate the relationship between CAV1 rs3807992 genotypes and cMetS, and to determine whether body fat distribution plays a mediating role in this regard.
The current cross-sectional study was conducted on 386 overweight and obese females. The CAV1 rs3807992 and body composition were measured by the PCR-RFLP method and bioelectrical impedance analysis, respectively. Serum profile of HDL-C, TGs, FPG, and Insulin were measured by standard protocols.
GG allele carriers had significantly lowered Z-MAP (p = 0.02), total cMetS (p = 0.03) and higher Z-HDL (p = 0.001) compared with (A) allele carriers. There was a significant specific indirect effect (standardized coefficient = 0.19; 95% CI 0.01-0.4) of Visceral fat level (VFL). Although, total body fat was significantly associated with CAV1 rs3807992 and cMetS, the specific indirect effect was not significant (standardized coefficient = 0.21; 95% CI - 0.006, 0.44). VFL contributed to significant indirect effects of 35% on the relationship between CAV1 and cMetS.
Higher visceral adipose tissue may affect the relationship between CAV1 and cMetS. Although CAV1 rs3807992 is linked to VFL in our study, the influence of this polymorphism on MetS is not via total fat.
代谢综合征(MetS)与几乎所有慢性疾病的发病率和死亡率增加有关。计算连续代谢综合征(cMetS)评分的最常用方法是使用线性回归中的标准化残差(z 分数)。最近,新出现的数据表明,CAV1 是主要的遗传靶标之一,它在调节体脂肪分布中起着至关重要的作用。本研究旨在探讨 CAV1 rs3807992 基因型与 cMetS 的关系,并确定体脂肪分布是否在此方面起中介作用。
本横断面研究纳入了 386 名超重和肥胖女性。CAV1 rs3807992 和体成分分别采用 PCR-RFLP 法和生物电阻抗分析进行测量。高密度脂蛋白胆固醇(HDL-C)、甘油三酯(TGs)、空腹血糖(FPG)和胰岛素的血清谱采用标准方案进行测量。
与(A)等位基因携带者相比,GG 等位基因携带者的 Z-MAP(p=0.02)、总 cMetS(p=0.03)和 Z-HDL(p=0.001)显著降低。内脏脂肪水平(VFL)具有显著的特定间接效应(标准化系数=0.19;95%CI 0.01-0.4)。尽管总体脂肪与 CAV1 rs3807992 和 cMetS 显著相关,但特定间接效应并不显著(标准化系数=0.21;95%CI -0.006,0.44)。VFL 导致 CAV1 与 cMetS 之间关系的 35%的显著间接效应。
较高的内脏脂肪组织可能会影响 CAV1 与 cMetS 之间的关系。虽然在本研究中 CAV1 rs3807992 与 VFL 相关,但该多态性对 MetS 的影响不是通过总脂肪。