Liu Cheng, Zheng Wei, Wang Jia, Yuan Xianxian, Zhang Yuan, Wang Yuanyuan, Ma Xu, Li Guanghui
Department of Obstetrics, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing Maternal and Child Health Care Hospital, Beijing, China.
National Research Institute for Family Planning, Beijing, China.
mSphere. 2025 Jun 25;10(6):e0091424. doi: 10.1128/msphere.00914-24. Epub 2025 May 16.
Increasing evidence has suggested that maternal gestational diabetes mellitus (GDM) can influence the neonatal gut microbiota. However, the initial microbial colonization of neonates is still unclear. The discrepancy in results between studies may be due to many other prenatal characteristics. This study aimed to investigate whether perinatal characteristics affect the association between maternal GDM status and early neonatal gut microbiota. This nested case-control study was based on a cohort of mothers and children (2016YFC1000304). Meconium samples were collected from neonates of mothers with ( = 114) and without GDM ( = 133) within 24 h after birth, and then assessed via 16S rRNA gene amplicon sequencing. Differences in the diversity and composition of the neonatal gut microbiota were compared according to maternal GDM status and other perinatal characteristics. The gut microbiota of neonates born to mothers with GDM presented lower alpha diversity with the Chao1 index ( = 0.0235). Principal coordinate analysis revealed that the meconium samples were clustered by maternal GDM status only with unweighted UniFrac distances ( = 0.011, = 0.003). In other groups, such as maternal age ≥ 35 years old and maternal prepregnancy BMI ≥ 24 kg/m, meconium was not clustered by maternal GDM status. Linear discriminant analysis revealed that 81 taxa were significantly different between the GDM group and the control group. Based on delivery mode, there were 226 representative taxa in the control group, whereas in the GDM group, there were no representative taxa. In addition, based on neonatal sex, there were 79 representative taxa in the GDM group and seven in the control group. Other perinatal characteristics, such as maternal prepregnancy BMI, age, gestational weight gain, and birth weight also influenced the differential taxa of the neonatal gut microbiota between the two groups. In our cohort, newborns from mothers with GDM and without GDM had similar composition but different abundances of the gut microbiota. Maternal prepregnancy BMI, age, gestational weight gain, and neonatal delivery mode, sex, and birth weight had different influences on the diversity and differential taxa of the neonatal gut microbiota. The results of this study suggest that when studying the association between GDM and neonatal gut microbiota, it is necessary to consider the concomitant perinatal characteristics.
This study uses 16S rRNA gene amplicon sequencing to analyze 247 meconium samples with or without maternal gestational diabetes mellitus (GDM) and make a multi-group comparison. We found that newborns from mothers with GDM and normoglycemic mothers had similar compositions but different abundances of the gut microbiota. Other than the maternal diabetes status, maternal body mass index, age, gestational weight gain, and neonatal delivery mode, gender and birth weight all contribute to neonatal gut microbiota. Compared with former related studies, our sample size was larger, and meconium was collected within 24 h after birth to avoid the influence of the living environment, feeding methods, mother's lifestyle, or diet. The results of this study will provide some information on the association between maternal GDM and neonatal gut microbiota colonization in early life and highlight the influence of non-negligible concomitant perinatal characteristics.
越来越多的证据表明,母亲妊娠期糖尿病(GDM)会影响新生儿肠道微生物群。然而,新生儿最初的微生物定植情况仍不清楚。研究结果的差异可能归因于许多其他产前特征。本研究旨在调查围产期特征是否会影响母亲GDM状态与早期新生儿肠道微生物群之间的关联。这项巢式病例对照研究基于一组母婴队列(2016YFC1000304)。在出生后24小时内从患有GDM(n = 114)和未患GDM(n = 133)的母亲所生的新生儿中收集胎粪样本,然后通过16S rRNA基因扩增子测序进行评估。根据母亲的GDM状态和其他围产期特征比较新生儿肠道微生物群的多样性和组成差异。患有GDM的母亲所生新生儿的肠道微生物群,其Chao1指数显示出较低的α多样性(P = 0.0235)。主坐标分析表明,仅使用未加权的UniFrac距离时,胎粪样本按母亲的GDM状态聚类(P = 0.011,R² = 0.003)。在其他组中,如母亲年龄≥35岁和母亲孕前BMI≥24 kg/m²,胎粪未按母亲的GDM状态聚类。线性判别分析显示,GDM组和对照组之间有81个分类单元存在显著差异。基于分娩方式,对照组有226个代表性分类单元,而GDM组没有代表性分类单元。此外,基于新生儿性别,GDM组有79个代表性分类单元,对照组有7个。其他围产期特征,如母亲孕前BMI、年龄、孕期体重增加和出生体重,也影响两组新生儿肠道微生物群的差异分类单元。在我们的队列中,患有GDM和未患GDM的母亲所生的新生儿肠道微生物群组成相似但丰度不同。母亲孕前BMI、年龄、孕期体重增加以及新生儿分娩方式、性别和出生体重对新生儿肠道微生物群的多样性和差异分类单元有不同影响。本研究结果表明,在研究GDM与新生儿肠道微生物群之间的关联时,有必要考虑伴随的围产期特征。
本研究使用16S rRNA基因扩增子测序分析247份有或无母亲妊娠期糖尿病(GDM)的胎粪样本,并进行多组比较。我们发现,患有GDM的母亲所生新生儿与血糖正常母亲所生新生儿的肠道微生物群组成相似但丰度不同。除了母亲的糖尿病状态外,母亲体重指数、年龄、孕期体重增加以及新生儿分娩方式、性别和出生体重均对新生儿肠道微生物群有影响。与以往相关研究相比,我们的样本量更大,且在出生后24小时内收集胎粪,以避免生活环境喂养方式、母亲生活方式或饮食的影响。本研究结果将为母亲GDM与生命早期新生儿肠道微生物群定植之间的关联提供一些信息,并突出不可忽视的伴随围产期特征的影响。