Effects of maternal type 1 diabetes and confounding factors on neonatal microbiomes

被引:1
作者
Gajecka, Marzena [1 ,2 ]
Gutaj, Pawel [3 ]
Jaskiewicz, Katarzyna [2 ]
Rydzanicz, Malgorzata [4 ]
Szczapa, Tomasz [5 ]
Kaminska, Dorota [1 ]
Kosewski, Grzegorz [6 ]
Przyslawski, Juliusz [6 ]
Ploski, Rafal [4 ]
Wender-Ozegowska, Ewa [3 ]
机构
[1] Poznan Univ Med Sci, Chair & Dept Genet & Pharmaceut Microbiol, Poznan, Poland
[2] Polish Acad Sci, Inst Human Genet, Poznan, Poland
[3] Poznan Univ Med Sci, Dept Reprod, Poznan, Poland
[4] Med Univ Warsaw, Dept Med Genet, Warsaw, Poland
[5] Poznan Univ Med Sci, Dept Neonatol, Poznan, Poland
[6] Poznan Univ Med Sci, Chair & Dept Bromatol, Poznan, Poland
关键词
HbA(1c); Maternal reproductive tract microbiome; Microbiome; Microbiota transfer; Neonatal microbiome; Type; 1; diabetes; HUMAN GUT MICROBIOME; DELIVERY MODE; BODY SITES; WOMEN; TRANSMISSION; PREGNANCY; SHAPES;
D O I
10.1007/s00125-023-06047-7
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Aims/hypothesisBody niche-specific microbiota in maternal-neonatal dyads from gravidae with type 1 diabetes have not been quantitatively and functionally examined. Similarly, the impact of pregnancy-specific factors, such as the presence of comorbidities known to occur more frequently among gravidae with type 1 diabetes, including Caesarean delivery, as well as antibiotic prophylaxis, level of glycaemic control during each trimester of pregnancy and insulin administration, has not been adequately considered. The aims of this study were to characterise the maternal and neonatal microbiomes, assess aspects of microbiota transfer from the maternal microbiomes to the neonatal microbiome and explore the impact of type 1 diabetes and confounding factors on the microbiomes.MethodsIn this observational case-control study, we characterised microbiome community composition and function using 16S rRNA amplicon sequencing in a total of 514 vaginal, rectal and ear-skin swabs and stool samples derived from 92 maternal-neonatal dyads (including 50 gravidae with type 1 diabetes) and in-depth clinical metadata from throughout pregnancy and delivery.ResultsType 1 diabetes-specific microbiota were identified among gravidae with type 1 diabetes and their neonates. Neonatal microbiome profiles of ear-skin swabs and stool samples were established, indicating the taxa more prevalent among neonates born to mothers with type 1 diabetes compared with neonates born to control mothers. Without taking into account the type 1 diabetes status of mothers, both delivery mode and intrapartum antibiotic prophylaxis were found to have an influence on neonatal microbiota composition (both p=0.001). In the logistic regression analysis involving all confounding variables, neonatal ear-skin microbiome variation was explained by maternal type 1 diabetes status (p=0.020) and small for gestational age birthweight (p=0.050). Moreover, in women with type 1 diabetes, a relationship was found between HbA1c levels >55 mmol/mol (>7.2%) measured in the first trimester of pregnancy and neonatal ear-skin microbiota composition (p=0.008). In the PICRUSt (Phylogenetic Investigation of Communities by Reconstruction of Unobserved States) assessment, pathways concerning carbohydrate biosynthesis were predicted as key elements of the microbial functional profiles dysregulated in type 1 diabetes. Additionally, in SourceTracker analysis, we found that, on average, 81.0% of neonatal microbiota was attributed to maternal sources. An increase in the contribution of maternal rectum microbiota and decrease in the contribution of maternal cervix microbiota were found in ear-skin samples of vaginally delivered neonates of mothers with type 1 diabetes compared with neonates born to control mothers (83.2% vs 59.5% and 0.7% vs 5.2%, respectively).Conclusions/interpretationThese findings indicate that, in addition to maternal type 1 diabetes, glycaemic dysregulation before/in the first trimester of pregnancy, mode of delivery and intrapartum antibiotic prophylaxis may contribute to the inoculation and formation of the neonatal microbiomes.Data availabilityThe BioProject (PRJNA961636) and associated SRA metadata are available at http://www.ncbi.nlm.nih.gov/bioproject/961636. Processed data on probiotic supplementation and the PICRUSt analysis are available in the Mendeley Data Repository (https://doi.org/10.17632/g68rwnnrfk.1).
引用
收藏
页码:312 / 326
页数:15
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