Cited by 23Oral microbiology and periodontitis researchDental Health and Care UtilizationDental materials and restorations

Effect of silver diamine fluoride on plaque microbiome in children

Mei, May Lei, Yan, Zejun, Duangthip, Duangporn, Niu, John Yun, Yu, Ollie Yiru, You, Meng, Lo, Edward C.M., Chu, Chun Hung·2020·Journal of Dentistry

Abstract

Objective To investigate the microbiome profile and relative abundance changes of the plaque on silver diamine fluoride (SDF)-treated caries in children with early childhood caries. Methods A single trained examiner assessed the caries as being arrested or active and then collected plaque samples from the caries lesions from fourteen 5-year-old children immediately before, 2 weeks after, and 12 weeks after a one-off application of 38 % SDF. We assigned 16S rRNA gene sequences to operational taxonomic units (OTUs) using a 98.5 % identity cut-off. We also used a variety of taxonomy- and phylogeny-based statistical approaches to compare the biodiversity and relative abundance among different groups. Results The caries arrest rate were 90 % and 83 % after 2 and 12 weeks, respectively. We studied 46 plaque samples and identified 388 OTUs (254 identified at the species level, 129 identified at the genus level, and 76 identified at the family level). There was no significant change in the diversity in the arrested caries before and 12 weeks after SDF treatment (p = 0.71). The diversity in active caries reduced significantly 12 weeks after SDF treatment (p = 0.006). The relative abundance of certain caries-related species (e.g., Streptococcus mutans and Lactobacillus sp.) was reduced in arrested caries but was increased in active caries after SDF treatment. Conclusion There was no overall microbiome changes in the caries arrested by SDF. The relative abundance of some caries-related…

Integrity signals

Registry

Crossref · 10.1016/j.jdent.2020.103479

Cites

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

No citation lists for this paper

No citation lists for this paper yet — checked again daily.

References 31 · Cited by 23

Authors
Mei, M. L., Yan, Z., Duangthip, D., Niu, J. Y., Yu, O. Y., You, M., Lo, E. C. M., & Chu, C. H.
Affiliations
  • University of Otago (NZ)
  • Aviagen (United Kingdom) (GB)
  • University of Hong Kong (HK)
  • Sichuan University (CN)
Corresponding author
  • Mei, May Lei
  • Chu, Chun Hung
Venue
Journal of Dentistry
Publisher
Elsevier BV
Published
2020-11
Volume
102
Pages
103479
ISSN
0300-5712 (ISSN-L)
OpenAlex
W3012047707
Cited by
23
References
31
Citations by year
2025: 2 · 2024: 6 · 2023: 5 · 2022: 7 · 2021: 2 · 2020: 1
FWCI
3.83
Type
journal article
Language
en
Open access
closed
Locations
  • Journal of Dentistry (publishedVersion)
  • PubMed (publishedVersion)
Funders
  • National Natural Science Foundation of China (81870812)
  • Research Grants Council, University Grants Committee
  • General Research Fund of Shanghai Normal University (17100218)
Topics
  • Health Sciences › Dentistry › Periodontics › Oral microbiology and periodontitis research
  • Health Sciences › Dentistry › Periodontics › Dental Health and Care Utilization
  • Health Sciences › Dentistry › Orthodontics › Dental materials and restorations
Keywords
silver diamine fluoride, dental plaque microbiome, early childhood caries, caries arrest, Streptococcus mutans, Lactobacillus, bacterial diversity
MeSH terms
Quaternary Ammonium Compounds, Cariostatic Agents, Child, Child, Preschool, Dental Caries, Fluorides, Topical, Humans, RNA, Ribosomal, 16S, Silver Compounds, Microbiota

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review