Cited by 0Oral microbiology and periodontitis researchDental Health and Care UtilizationFluoride Effects and Removal

The DOI matches its Crossref record; 62 of the 62 references it cites were found in a registry or an index; 7 of the 55 sources its claims cite were checked for support.

Severity-dependent alterations in oral microbiota and antibiotic resistance in children with dental fluorosis

Open access
Xia, Yuting, Peng, Shifu, Yu, Jiannan, Wang, Yang, Ye, Yunjie, Liu, Mao, Shang, Li, Cui, Xing, Wang, Peihua, Ding, Zhen·2026·Journal of Oral Microbiology

Abstract

Backgroud Dental fluorosis is a prevalent endemic condition, yet its impact on the oral microbiota structure and resistance in children remains understudied.Objective To assess the microbial composition, diversity, functional pathways and co-occurrence patterns among urinary fluoride (UF), bacterial taxa and antibiotic resistance genes in relation to fluorosis severity. Design: Metagenomic analysis of dental plaque was conducted on 96 school-aged children, who were grouped into normal, dubious, very mild, mild, moderate and severe base on fluorosis severity.Results Microbial diversity increased with fluorosis severity. Actinomyces sp. HMT 175, Actinomyces oris and Corynebacterium matruchotii, Fusobacterium nucleatum and Rothia dentocariosa were significantly enriched in the moderate and severe groups. Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis showed a reduced relative abundance of genes involved in carbohydrate metabolism and genetic information processing in moderate and severe groups. Network analysis revealed positive correlations among Actinomyces sp. HMT 175, UF levels and GRD33_1 (a carbapenem resistance gene).Conclusions These findings highlight severity-dependent shifts in the oral microbiota and resistance, warranting further investigation into fluoride's public health implications.

Overview

AI snapshot

Written from the paper’s full text.

TL;DR

In 96 school-aged children, dental fluorosis severity was associated with increased oral microbial alpha diversity and enrichment of taxa such as Actinomyces sp. HMT 175, Actinomyces oris, Corynebacterium matruchotii, Fusobacterium nucleatum, and Rothia dentocariosa in moderate/severe groups. Network analysis linked urinary fluoride, Actinomyces sp. HMT 175, and the carbapenem resistance gene GRD33_1, suggesting severity-dependent microbiota and resistance shifts.

Key findings

  • Alpha diversity increased with fluorosis severity across taxonomic levels by Shannon and Simpson indices (P < 0.05), with the most pronounced differences between Normal vs Moderate and Normal vs Severe groups.
  • Moderate and severe groups were significantly enriched for Actinomyces sp. HMT 175, Actinomyces oris, Corynebacterium matruchotii, Fusobacterium nucleatum, and Rothia dentocariosa; Streptococcus mitis and Streptococcus pneumoniae were enriched in the normal group, while Neisseria sicca and Neisseria mucosa were more abundant in very mild and mild groups, respectively.
  • KEGG/STAMP analyses showed multiple key pathways—DNA replication proteins, two-component system, ABC transporters, and chaperones—were significantly lower in moderate and severe groups compared with normal and mild groups (P < 0.05); the abstract reports reduced relative abundance of genes involved in carbohydrate metabolism and genetic information processing in moderate and severe groups.
  • Co-occurrence networks showed positive correlations among urinary fluoride (UF), Actinomyces sp. HMT 175, and GRD33_1; Actinomyces sp. HMT 175 co-occurred with 24 ARGs (e.g., tetM, patB, mexY, OXA-125), and GRD33_1 correlated with Actinomyces sp. HMT 175, Actinomyces oris, Fusobacterium nucleatum, and Rothia dentocariosa.

Methods

  • Metagenomic analysis of dental plaque from 96 children aged 8–12 years (mean 10.3; 49 female/47 male) in Fengxian County, Xuzhou, Jiangsu; grouped by Dean’s classification: normal n = 19, dubious n = 10, very mild n = 16, mild n = 16, moderate n = 17, severe n = 18. UF was measured by ion-selective electrode.
  • Shotgun metagenomic sequencing on Illumina NovaSeq with paired-end 150 bp; taxonomic classification used Kraken2 and Bracken; assembly used MEGAHIT; functional annotation used KofamKOALA/KEGG and eggNOG-mapper/COG; ARGs were identified with RGI against CARD.
  • Statistical analyses in R included alpha diversity by Wilcoxon rank-sum test, beta diversity by Bray–Curtis dissimilarity with PCA/NMDS/ANOSIM, differential abundance by STAMP, LEfSe, and MetaStat, and Spearman correlation networks among UF, bacterial taxa, and ARGs visualized in Cytoscape.

Limitations

  • Stated: sample sizes were unbalanced across severity groups, with only 10 participants in the dubious group, reducing statistical power and increasing type II error risk; the cross-sectional design precludes causal inference; the questionnaire’s highest frequency category limits distinguishing higher exposure levels; single spot urinary UF reflects recent exposure only; and unmeasured confounders such as dietary fluoride intake and fluoride-containing toothpaste use frequency/amount could not be fully adjusted.
  • Stated/evident: all correlation coefficients had absolute rho values ≤ 0.4, so associations are weak and not indicative of causal relationships; metagenomic binning was not performed, so it cannot be determined whether GRD33_1 is physically located within Actinomyces sp. HMT 175 or any specific taxon; co-occurrence networks represent correlation patterns rather than direct genomic linkage.
  • Evident: the study lacks longitudinal follow-up, and the findings are based on a single population and cross-sectional sample, limiting inference about temporal or causal trajectories.

Model-written summary. Check it against the paper before relying on it.

Integrity signals

Registry

Crossref · 10.1080/20002297.2026.2714622

Cites

62 of 62 references verified0 citation errors · 0 not checkable

Statistics

Nothing to recompute.

Verification

Claims the paper makes

60 Own result · 39 Own interpretation · 24 Not checked yet · 13 Own method · 9 No full text of the sources · 6 No basis given · 3 Partly supported · 1 Supported · 1 Sources not found · accuracy not yet measured

Verify all 33 references — free account

Show all 93 claims

  • Probably not a substantial claim. 38
  • It may state two separate claims as one. 39
63 of 63
  • The authors state this as an assumption.

    This is the first study to investigate the relationship between urinary fluoride (UF) levels, bacterial taxa and the occurrence of antibiotic resistance.

    “Furthermore, to our knowledge, this is the first study to investigate the relationship between urinary fluoride (UF) levels, bacterial taxa and the occurrence of antibiotic resistance.”
  • The paper relies on this without support.

    The observed differences in oral microbiota and resistance are attributable to fluorosis severity/fluoride exposure rather than confounding factors such as water source, diet, or passive smoking.

    “suggesting a functional shift under fluoride stress”
    “implying a fluoride-associated shift in oral microbiome resistance potential”
  • The paper relies on this without support.

    Urinary fluoride concentration is a valid biomarker of fluoride intake/exposure in children.

    “quantitative analysis of UF concentration using the ion-selective electrode method [22]”
    “the median UF increased with severity: 0.7 mg/L in Normal, 1.0 mg/L in Dubious, 1.0 mg/L in Very mild, 1.2 mg/L in Mild, 1.2 mg/L in Moderate and 1.4 mg/L in Severe.”
  • The paper relies on this without support.

    Urinary fluoride concentration is a valid proxy for fluoride exposure relevant to the oral microbiota.

    “Significant correlations are observed between UF and Actinomyces sp. HMT 175 as well as ARG GRD33_1.”
  • The paper relies on this without support.

    Dental fluorosis severity is a valid indicator of chronic fluoride exposure affecting the oral microbiota.

    “The abundances of Actinomyces sp. HMT 175, Actinomyces oris, Corynebacterium matruchotii, Fusobacterium nucleatum and Rothia dentocariosa increase with the severity of dental fluorosis”
5 of 5

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

Each contradiction between two passages listed here was confirmed by an independent check.

4 of 4

Citations

Cites

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Cited by

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Metadata

Authors
Xia, Y., Peng, S., Yu, J., Wang, Y., Ye, Y., Liu, M., Shang, L., Cui, X., Wang, P., & Ding, Z.
Affiliations
  • Jiangsu Provincial Center for Disease Control and Prevention (CN)
  • Nanjing Medical University (CN)
  • Department for Environmental Health (Endemic Disease Control and Prevention), Jiangsu Provincial Center for Disease Control and Prevention
  • Nanjing University (CN)
Corresponding author
  • Xia, Yuting
  • Wang, Peihua
  • Ding, Zhen
Venue
Journal of Oral Microbiology
Published
2026-08-29
Volume
18
Issue
1
Pages
2714622-2714622
ISSN
2000-2297 (ISSN-L)
OpenAlex
W7204638396
Cited by
0
References
62
FWCI
0.00
Type
journal article
Language
en
Open access
Locations
  • Journal of Oral Microbiology (publishedVersion, cc-by-nc)
  • PubMed (publishedVersion)
  • PubMed Central (publishedVersion, cc-by-nc)
Funders
  • Jiangsu Province Association of Endemic Diseases Scientific Research Project on Schistosomiasis, Parasitic Diseases, and Endemic Diseases (Grant No. X202119, X202358)
  • The Scientific research project funded by Jiangsu Commission of Health (M2022069)
Topics
  • Health Sciences › Dentistry › Periodontics › Oral microbiology and periodontitis research
  • Health Sciences › Dentistry › General Dentistry › Dental Health and Care Utilization
  • Physical Sciences › Environmental Science › Water Science and Technology › Fluoride Effects and Removal
Keywords
dental fluorosis, oral microbiota, antibiotic resistance genes, fluoride exposure, dental plaque, fluorosis severity, Actinomyces, Fusobacterium nucleatum, carbapenem resistance, microbial diversity, children

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CoChat. (2026). Citation check: Severity-dependent alterations in oral microbiota and antibiotic resistance in children with dental fluorosis. https://app.cochat.ai/papers/10.1080/20002297.2026.2714622
The paper
Xia, Y., Peng, S., Yu, J., Wang, Y., Ye, Y., Liu, M., Shang, L., Cui, X., Wang, P., & Ding, Z. (2026). Severity-dependent alterations in oral microbiota and antibiotic resistance in children with dental fluorosis. Journal of Oral Microbiology. https://doi.org/10.1080/20002297.2026.2714622