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Original article
Dysbiosis of maternal and neonatal microbiota associated with gestational diabetes mellitus
  1. Jinfeng Wang1,
  2. Jiayong Zheng2,
  3. Wenyu Shi1,
  4. Nan Du1,
  5. Xiaomin Xu2,
  6. Yanming Zhang1,
  7. Peifeng Ji1,
  8. Fengyi Zhang1,
  9. Zhen Jia1,
  10. Yeping Wang2,
  11. Zhi Zheng2,
  12. Hongping Zhang2,
  13. Fangqing Zhao1,3,4
  1. 1 Computational Genomics Lab, Beijing Institutes of Life Science, Chinese Academy of Sciences, Beijing, China
  2. 2 Department of Gynecology and Obstetrics, Wenzhou People’s Hospital/Wenzhou Maternal and Child Health Care Hospital, Zhejiang, China
  3. 3 Savaid Medical School, University of Chinese Academy of Sciences, Beijing, China
  4. 4 Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming, China
  1. Correspondence to Professor Fangqing Zhao, Computational Genomics Lab, Beijing Institutes of Life Science, Chinese Academy of Sciences, Beijing 100101, China ; zhfq{at}biols.ac.cn

Abstract

Objective The initial colonisation of the human microbiota and the impact of maternal health on neonatal microbiota at birth remain largely unknown. The aim of our study is to investigate the possible dysbiosis of maternal and neonatal microbiota associated with gestational diabetes mellitus (GDM) and to estimate the potential risks of the microbial shift to neonates.

Design Pregnant women and neonates suffering from GDM were enrolled and 581 maternal (oral, intestinal and vaginal) and 248 neonatal (oral, pharyngeal, meconium and amniotic fluid) samples were collected. To avoid vaginal bacteria contaminations, the included neonates were predominantly delivered by C-section, with their samples collected within seconds of delivery.

Results Numerous and diverse bacterial taxa were identified from the neonatal samples, and the samples from different neonatal body sites were grouped into distinct clusters. The microbiota of pregnant women and neonates was remarkably altered in GDM, with a strong correlation between certain discriminatory bacteria and the oral glucose tolerance test. Microbes varying by the same trend across the maternal and neonatal microbiota were observed, revealing the intergenerational concordance of microbial variation associated with GDM. Furthermore, lower evenness but more depletion of KEGG orthologues and higher abundance of some viruses (eg, herpesvirus and mastadenovirus) were observed in the meconium microbiota of neonates associated with GDM.

Conclusion GDM can alter the microbiota of both pregnant women and neonates at birth, which sheds light on another form of inheritance and highlights the importance of understanding the formation of early-life microbiome.

  • GDM
  • microbiota
  • neonate
  • pregnancy

This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/

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Footnotes

  • JW, JZ and WS contributed equally.

  • Contributors FZ conceived the study. FZ and JW designed the study and prepared the manuscript. JW, JZ, XX, ZJ, YW, ZZ and HZ collected the samples and conducted the experiments. JW, WS, ND, YZ, PJ and FZ analysed the data. All authors approved the final version of the manuscript.

  • Funding This work was supported by grants from the National Natural Science Foundation of China (31722031, 31670119), the National Key R&D Program (2016YFC1200800) and the Key Research Program of the Chinese Academy of Sciences (KFZD-SW-219).

  • Competing interests None declared.

  • Patient consent Obtained.

  • Ethics approval Wenzhou People’s Hospital.

  • Provenance and peer review Not commissioned; externally peer reviewed.