# Consensus approach to differential abundance analysis detects few differences in the oral microbiome of pregnant women due to pre-existing type 2 diabetes mellitus

**Authors:** Sophie M. Leech, Helen L. Barrett, Emily S. Dorey, Thomas Mullins, Josephine Laurie, Marloes Dekker Nitert

PMC · DOI: 10.1099/mgen.0.001385 · Microbial Genomics · 2025-04-15

## TL;DR

This study finds few significant differences in the oral microbiome of pregnant women with pre-existing type 2 diabetes compared to healthy controls.

## Contribution

The study introduces a consensus approach to differential abundance analysis in the oral microbiome of pregnant women with type 2 diabetes.

## Key findings

- Differences in oral microbiome were identified only at the late gestation time point.
- Increased abundance of specific taxa like Flavobacteriaceae and Haemophilus was observed in T2DM patients.
- The consensus approach revealed fewer differences compared to single-analysis methods used in prior studies.

## Abstract

Oral microbiome dysbiosis has been proposed as a potential contributing factor to rising rates of diabetes in pregnancy, with oral health previously associated with an increased risk of numerous chronic diseases and complications in pregnancy, including gestational diabetes mellitus (GDM). However, whilst most studies examining the relationship between GDM and the oral microbiome identify significant differences, these differences are highly variable between studies. Additionally, no previous research has examined the oral microbiome of women with pre-existing type 2 diabetes mellitus (T2DM), which has greater risks of complications to both mother and baby. In this study, we compared the oral microbiome of 11 pregnant women with pre-existing T2DM with 28 pregnant normoglycaemic controls. We used shotgun metagenomic sequencing to examine buccal swab and saliva rinse samples at two time points between 26 and 38 weeks of gestation. To reduce variation caused by the choice of differential abundance analysis tool, we employed a consensus approach to identify differential taxa and pathways due to diabetes status. Differences were identified at the late time point only. In swab samples, there was increased Flavobacteriaceae, Capnocytophaga, Capnocytophaga gingivalis SGB2479, Capnocytophaga leadbetteri SGB2492 and Neisseria elongata SGB9447 abundance in T2DM as well as increased Shannon diversity and richness. In rinse samples, there was an increased abundance of Haemophilus, Pasteurellaceae, Pasteurellales and Proteobacteria. In contrast to studies of the oral microbiome in T2DM or GDM that use a single differential abundance analysis tool, our consensus approach identified few differences between pregnant women with and without T2DM.

## Linked entities

- **Diseases:** gestational diabetes mellitus (MONDO:0005406), type 2 diabetes mellitus (MONDO:0005148)

## Full-text entities

- **Diseases:** GDM (MESH:D016640), diseases (MESH:D004194), diabetes (MESH:D003920), T2DM (MESH:D003924)
- **Species:** Haemophilus (genus) [taxon 724], Homo sapiens (human, species) [taxon 9606], Capnocytophaga leadbetteri (species) [taxon 327575], Capnocytophaga gingivalis (species) [taxon 1017], Pasteurellales (order) [taxon 135625], Neisseria elongata (species) [taxon 495]

## Full text

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## Figures

6 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12282217/full.md

## References

65 references — full list in the complete paper: https://tomesphere.com/paper/PMC12282217/full.md

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Source: https://tomesphere.com/paper/PMC12282217