University of Oulu

Ruotsalainen, A.L., Tejesvi, M.V., Vänni, P. et al. Child type 1 diabetes associated with mother vaginal bacteriome and mycobiome. Med Microbiol Immunol (2022).

Child type 1 diabetes associated with mother vaginal bacteriome and mycobiome

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Author: Ruotsalainen, A. L.1; Tejesvi, M. V.2,3; Vänni, P.3;
Organizations: 1Department of Ecology and Genetics, University of Oulu, POB 3000, 90014 Oulu, Finland
2Department of Ecology and Genetics, University of Oulu, POB 3000, 90014 Oulu, Finland
3Genobiomics LLC, Oulu, Finland
4Biocenter Oulu Sequencing Center, University of Oulu, POB 8000, 90014 Oulu, Finland
5Department of Pediatrics, PEDEGO Research Unit and Medical Research Center, University of Oulu and Oulu University Hospital, PO Box 23, 90029 OYS Oulu, Finland
6Department of Obstetrics and Gynecology, University of Oulu, PL 23, FI90029 Oulu, Finland
7Department of Obstetrics and Gynecology, University of Oulu, PL 23, FI90029 Oulu, Finland
Format: article
Version: published version
Access: open
Online Access: PDF Full Text (PDF, 1.7 MB)
Persistent link:
Language: English
Published: Springer Nature, 2022
Publish Date: 2022-07-08


Mother vaginal microbes contribute to microbiome of vaginally delivered neonates. Child microbiome can be associated with autoimmune diseases, such as type 1 diabetes (T1D). We collected vaginal DNA samples from 25 mothers with a vaginally delivered child diagnosed with T1D and samples from 24 control mothers who had vaginally delivered a healthy child and analyzed bacteriome and mycobiome of the samples. The total DNA of the samples was extracted, and ribosomal DNA regions (16S for bacteria, ITS2 for fungi) were amplified, followed by next-generation sequencing and machine learning. We found that alpha-diversity of bacteriome was increased (P < 0.002), whereas alpha-diversity of mycobiome was decreased (P < 0.001) in mothers with a diabetic child compared to the control mothers. Beta-diversity analysis suggested differences in mycobiomes between the mother groups (P = 0.001). Random forest models were able to effectively predict diabetes and control status of unknown samples (bacteria: 0.86 AUC, fungi: 0.96 AUC). Our data indicate several fungal genera and bacterial metabolic pathways of mother vaginal microbiome to be associated with child T1D. We suggest that early onset of T1D in a child has a relationship with altered mother vaginal microbiome and that both bacteriome and mycobiome contribute to this shift.

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Series: Medical microbiology and immunology
ISSN: 0300-8584
ISSN-E: 1432-1831
ISSN-L: 0300-8584
Volume: 211
Pages: 185 - 194
DOI: 10.1007/s00430-022-00741-w
Type of Publication: A1 Journal article – refereed
Field of Science: 1181 Ecology, evolutionary biology
Funding: Open Access funding provided by University of Oulu including Oulu University Hospital. Päivikki and Sakari Sohlbergin säätiö (foundation) has funded this study (for R.N.).
Dataset Reference: Supplementary information:
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