Multiple perinatal characteristics affect the association between maternal diabetes status and early neonatal gut microbiota.

IF 3.7 2区 生物学 Q2 MICROBIOLOGY
mSphere Pub Date : 2025-05-16 DOI:10.1128/msphere.00914-24
Cheng Liu, Wei Zheng, Jia Wang, Xianxian Yuan, Yuan Zhang, Yuanyuan Wang, Xu Ma, Guanghui Li
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引用次数: 0

Abstract

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 (n = 114) and without GDM (n = 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 (P = 0.0235). Principal coordinate analysis revealed that the meconium samples were clustered by maternal GDM status only with unweighted UniFrac distances (R2 = 0.011, P = 0.003). In other groups, such as maternal age ≥ 35 years old and maternal prepregnancy BMI ≥ 24 kg/m2, 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.

Importance: 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.

多种围产期特征影响母体糖尿病状态与新生儿早期肠道微生物群之间的关系。
越来越多的证据表明,母体妊娠期糖尿病(GDM)可以影响新生儿肠道微生物群。然而,新生儿最初的微生物定植尚不清楚。研究结果的差异可能是由于许多其他的产前特征。本研究旨在探讨围产期特征是否影响母体GDM状态与新生儿早期肠道微生物群之间的关系。该巢式病例对照研究基于一组母亲和儿童(2016YFC1000304)。收集有GDM母亲(n = 114)和无GDM母亲(n = 133)的新生儿在出生后24 h内的胎便样本,通过16S rRNA基因扩增子测序进行评估。根据产妇GDM状态和其他围产期特征,比较新生儿肠道菌群多样性和组成的差异。GDM母亲所生的新生儿肠道菌群α多样性较低,Chao1指数(P = 0.0235)。主坐标分析显示,胎便样本仅在未加权的UniFrac距离上与母体GDM状态聚类(R2 = 0.011, P = 0.003)。在其他组中,如母亲年龄≥35岁,母亲孕前BMI≥24 kg/m2,胎便不随母亲GDM状态聚集。线性判别分析显示,GDM组与对照组有81个类群存在显著差异。根据传递方式,对照组有226个代表性类群,而GDM组没有代表性类群。此外,根据新生儿性别,GDM组有79个代表性分类群,对照组有7个代表性分类群。其他围产期特征,如孕妇孕前体重指数、年龄、妊娠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。在我们的队列中,患有GDM和没有GDM的母亲所生的新生儿具有相似的组成,但肠道微生物群的丰度不同。孕妇孕前体重指数、年龄、妊娠体重增加、新生儿分娩方式、性别、出生体重对新生儿肠道微生物群的多样性和分类群差异有不同程度的影响。本研究结果提示,在研究GDM与新生儿肠道菌群的关系时,有必要考虑伴随的围产期特征。意义:本研究采用16S rRNA基因扩增子测序法对247例伴、不伴妊娠期糖尿病(GDM)的胎标本进行分析,并进行多组比较。我们发现,患有GDM的母亲和血糖正常的母亲所生的新生儿具有相似的组成,但肠道微生物群的丰度不同。除产妇糖尿病状况外,产妇体重指数、年龄、妊娠期体重增加、新生儿分娩方式、性别和出生体重都对新生儿肠道微生物群有影响。与以往的相关研究相比,我们的样本量更大,并在出生后24 h内收集胎便,以避免生活环境、喂养方式、母亲生活方式或饮食的影响。本研究的结果将提供一些关于母体GDM与新生儿早期肠道微生物群定植之间关系的信息,并强调不可忽视的围产期相关特征的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
mSphere
mSphere Immunology and Microbiology-Microbiology
CiteScore
8.50
自引率
2.10%
发文量
192
审稿时长
11 weeks
期刊介绍: mSphere™ is a multi-disciplinary open-access journal that will focus on rapid publication of fundamental contributions to our understanding of microbiology. Its scope will reflect the immense range of fields within the microbial sciences, creating new opportunities for researchers to share findings that are transforming our understanding of human health and disease, ecosystems, neuroscience, agriculture, energy production, climate change, evolution, biogeochemical cycling, and food and drug production. Submissions will be encouraged of all high-quality work that makes fundamental contributions to our understanding of microbiology. mSphere™ will provide streamlined decisions, while carrying on ASM''s tradition for rigorous peer review.
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