ArticleClinical oral investigations2022
Identification of the specific microbial community compositions in saliva associated with periodontitis during pregnancy.
Article in Clinical oral investigations, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed, 9 citations in OpenAlex.
- Analysis of salivary metabolites and microbial characteristics in patients with dental fluorosis.Clinical oral investigations · 2026Article
- EPheClass: ensemble-based phenotype classifier from 16S rRNA gene sequences.Frontiers in bioinformatics · 2025Article
- Correlation analysis between changes in oral and vaginal/intestinal microbiota during pregnancy and threatened preterm birth in pregnant women.American journal of translational research · 2025Article
- Maternal periodontitis may cause lower birth weight in children: genetic evidence from a comprehensive Mendelian randomization study on periodontitis and pregnancy.Clinical oral investigations · 2024Article
- The salivary microbiome as a diagnostic biomarker of periodontitis: a 16S multi-batch study before and after the removal of batch effects.Frontiers in cellular and infection microbiology · 2024Article
- The bidirectional relationship between periodontal disease and pregnancyFrontiers in microbiology · 2023Review
- Features of the oral microbiome in Japanese elderly people with 20 or more teeth and a non-severe periodontal condition during periodontal maintenance treatment: A cross-sectional study.Frontiers in cellular and infection microbiology · 2022Article
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveTo identify the specific microbial community compositions in saliva associated with periodontitis during pregnancy. MATERIALS AND
methodsUnstimulated saliva samples were collected from 53 pregnant women during weeks 24-28 of gestation, and the V3-V4 regions of the 16S rRNA gene were amplified from isolated saliva DNA and sequenced. Phylum-, genus-, and species-level taxonomic compositions were separately compared between subjects with (n = 12) and without (n = 41) periodontitis.
resultsTaxa were selected using the random forest algorithm to distinguish subjects with periodontitis at each taxonomic level, and principal component biplots were constructed to visualize the composition of selected taxa in each subject. The genus-level biplot indicated that 44 subjects clustered around the origin. The prevalence of periodontitis was significantly higher among subjects outside the cluster compared with subjects inside the cluster (6/9 [67%] vs. 6/44 [14%], respectively; p = 0.002). Subjects outside the cluster also had significantly decreased abundance of Neisseria and increased abundances of several putative periodontopathic genera. Phylum- and species-level biplots failed to discriminate subjects with periodontitis more efficiently than the genus-level biplot.
conclusionsThe specific taxonomic composition of the saliva microbiota in pregnant women with periodontitis could be clearly identified at the genus level. CLINICAL RELEVANCE: The formula developed based on the present findings, (%Treponema + %Tannerella + %Filifactor + %Anaeroglobus)/%Neisseria, can be used to predict periodontitis during pregnancy with sensitivity and specificity values of 0.67 (8/12) and 0.95 (39/41), respectively.
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