ArticleMedical microbiology and immunology2022
Child type 1 diabetes associated with mother vaginal bacteriome and mycobiome.
Article in Medical microbiology and immunology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed, 15 citations in OpenAlex.
- Decoding the reproductive microbiome: enabling clinical and biological insights through machine and deep learning.Frontiers in endocrinology · 2026Review
- Impact of diet on the gut mycobiome of Hong Kong Chinese infants.Computational and structural biotechnology journal · 2025Article
- Identification of a strong genetic risk factor for major depressive disorder in the human virome.iScience · 2024Article
- Deep learning captures the effect of epistasis in multifactorial diseases.Frontiers in medicine · 2024Article
- Neonatal Microbiome: Is it Still Beneficial?Endocrine, metabolic & immune disorders drug targets · 2024Article
- Oral Fungal Alterations in Patients with COVID-19 and Recovered Patients.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2023Article
- Environmental exposures in machine learning and data mining approaches to diabetes etiology: A scoping review.Artificial intelligence in medicine · 2023Article
- Maternal provisions in type 1 diabetes: Evidence for both protective & pathogenic potential.Frontiers in immunology · 2023Review
- Predicting the development of T1D and identifying its Key Performance Indicators in children; a case-control study in Saudi Arabia.PloS one · 2023Article
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Authors and funding
8 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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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