Wu Weixiang, Luo Dan, Ruan Xiaolin, Gu Chunming, Lu Weiming, Lian Kailing, Mu Xiaoping
Department of Clinical Laboratory, Guangdong Women and Children Hospital, Guangzhou, China.
Department of Preventive Medicine, School of Public Health, Guangzhou Medical University, Guangzhou, China.
Front Nutr. 2022 Aug 8;9:919651. doi: 10.3389/fnut.2022.919651. eCollection 2022.
Evidence suggests a potential relationship between gestational weight gain (GWG) and adverse birth outcomes. However, the role of maternal genetic polymorphisms remains unclear. This study was conducted to investigate whether the relationship of GWG with risk of adverse birth outcomes was modified by methylenetetrahydrofolate reductase () polymorphisms. A total of 2,967 Chinese pregnant women were included and divided into insufficient, sufficient, and excessive groups based on the Institute of Medicine (IOM) criteria. Polymorphisms of C677T and A1298C in gene were genotyped. Multivariable logistic regression models were introduced after controlling major confounders. Excessive GWG was found to increase the odds ratio (OR) for macrosomia [OR = 3.47, 95% confidence interval (CI): 1.86-6.48] and large-for-gestational age (LGA, OR = 3.25, 95% CI: 2.23-4.74), and decreased the OR for small-for-gestational age (SGA, OR = 0.60, 95% CI: 0.45-0.79). Pregnant women with insufficient GWG had a higher frequency of SGA (OR = 1.68, 95% CI: 1.32-2.13) and a lower rate of LGA (OR = 0.51, 95% CI: 0.27-0.96). Interestingly, significant associations of GWG categories in relation to low birth weight (LBW), macrosomia, and SGA were only suggested among pregnant women with A1298C AA genotype. Among pregnant women with insufficient GWG group, an increased risk of 3.96 (95% CI: 1.57-10.01) for LBW was observed among subjects with the A1298C AA genotype, compared to the AC+CC genotype group. GWG categories are closely related to LBW, macrosomia, SGA and LGA, and the associations were modified by the polymorphism of A1298C.
有证据表明孕期体重增加(GWG)与不良分娩结局之间存在潜在关系。然而,母体基因多态性的作用仍不明确。本研究旨在调查亚甲基四氢叶酸还原酶()基因多态性是否会改变GWG与不良分娩结局风险之间的关系。共纳入2967名中国孕妇,并根据美国医学研究所(IOM)的标准将其分为不足、充足和过量组。对基因中C677T和A1298C的多态性进行基因分型。在控制主要混杂因素后引入多变量逻辑回归模型。发现过量的GWG会增加巨大儿的比值比(OR)[OR = 3.47,95%置信区间(CI):1.86 - 6.48]和大于胎龄儿(LGA,OR = 3.25,95% CI:2.23 - 4.74)的比值比,并降低小于胎龄儿(SGA,OR = 0.60,95% CI:0.45 - 0.79)的比值比。GWG不足的孕妇SGA发生率较高(OR = 1.68,95% CI:1.32 - 2.13),LGA发生率较低(OR = 0.51,95% CI:0.27 - 0.96)。有趣的是,仅在具有A1298C AA基因型的孕妇中发现GWG类别与低出生体重(LBW)、巨大儿和SGA之间存在显著关联。在GWG不足组的孕妇中,与AC + CC基因型组相比,具有A1298C AA基因型的受试者发生LBW的风险增加3.96(95% CI:1.57 - 10.01)。GWG类别与LBW、巨大儿、SGA和LGA密切相关,并且这些关联会因A1298C基因多态性而改变。