Evidence map›Paper›PMID 41919539›Full record

ArticleHua xi kou qiang yi xue za zhi = Huaxi kouqiang yixue zazhi = West China journal of stomatology2026

[Comparative analysis of microbial communities in different oral ecological niches of preschool children].

Jiajia Liu, Yuhui Sun, Juefei Wu, Shuai Tang, Gang Ding

Abstract readComparative StudyEnglish Abstract
In one paragraph

Article in Hua xi kou qiang yi xue za zhi = Huaxi kouqiang yixue zazhi = West China journal of stomatology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Jiajia LiuSchool of Stomatology, Shandong Second Medical University, Weifang 261053, China.
Yuhui SunSchool of Stomatology, Shandong Second Medical University, Weifang 261053, China.
Juefei WuSchool of Stomatology, Shandong Second Medical University, Weifang 261053, China.
Shuai TangSchool of Stomatology, Shandong Second Medical University, Weifang 261053, China.
Gang DingSchool of Stomatology, Shandong Second Medical University, Weifang 261053, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThis study aims to investigate the structural differences, dominant bacterial genera, and potential functions of microbial communities in different oral ecological niches (dorsal tongue, tooth surface, and buccal mucosa) of preschool children to clarify the influence of local microenvironments on microbial colonization and provide a theoretical basis for the microbiota-targeted regulation of pediatric oral diseases.

methodsA total of 105 plaque samples were collected from the dorsal tongue, tooth surface, and buccal mucosa of 35 healthy preschool children (aged 4-6 years). High-throughput sequencing of the 16S rRNA gene was performed to analyze the microbial community structure and alpha/beta diversity. Principal coordinate analysis, UPGMA clustering, and LEfSe analysis were used to identify niche-specific dominant genera. PICRUSt2 was applied to predict the potential metabolic functional profiles across niches.

resultsSpatial hete-rogeneity in microbial composition and structure was observed across the three oral niches. Species richness was significantly higher on the tooth surface and buccal mucosa than on the dorsal tongue. The dominant phyla included Firmicutes, Actinobacteria, Proteobacteria, Bacteroidetes, Fusobacteria, and Patescibacteria. At the genus level, Actinomyces and Corynebacterium were enriched on the tooth surface, Veillonella was enriched on the dorsal tongue, and Streptococcus was predominant on the buccal mucosa. Beta diversity and clustering analyses confirmed distinct microbial community structures among the niches. LEfSe analysis identified several niche-specific genera. PICRUSt2 functional prediction revealed significant differences in amino acid metabolism, carbohydrate metabolism, cell motility, translation, signal transduction, immune system, infectious disea-ses, and membrane transport (

conclusionsThe dorsal tongue, tooth surface, and buccal mucosa in preschool children harbor distinct microbial communities with different taxonomic composition, diversity, and functional potential. The findings suggest that local microenvironmental factors shape oral microbiota and may contribute to the early onset of oral diseases. This study provides foundational data and theoretical insights for early microbiome-based risk assessment and personalized oral health interventions in children.

Indexed as

Dental PlaqueMicrobiotaMouthMouth MucosaTongueToothActinobacteriaActinomycesBacillotaBacteriaBacteroidetesChildChild, PreschoolFemaleFusobacteriaHumansRNA, Ribosomal, 16S16S rRNA sequencingecological nichesfunctional predictionmicrobial diversityoral microbiotapreschool children

Identifiers

PMID41919539
PMCPMC13047870

What Socratic holds

Textmetadata
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.