Journal of Oral Microbiology (Dec 2022)

Streptococcus mutans-associated bacteria in dental plaque of severe early childhood caries

  • Yixin Zhang,
  • Jiakun Fang,
  • Jingyi Yang,
  • Xiaolei Gao,
  • Liying Dong,
  • Xuan Zheng,
  • Liangjie Sun,
  • Bin Xia,
  • Na Zhao,
  • Zeyun Ma,
  • Yixiang Wang

DOI
https://doi.org/10.1080/20002297.2022.2046309
Journal volume & issue
Vol. 14, no. 1

Abstract

Read online

Background Streptococcus mutans (S. mutans) is a potential pathogenic bacteria of dental caries. However, the level of S. mutans is low in some children with severe early childhood caries (SECC)Aim To evaluate the effect of S. mutans level on dental microbiome and cariogenesis.Methods The oral microbiota was compared between caries-free group (CF) and SECC group.16S rRNA gene sequencing was used for S. mutans level bacterial community analysis. The candidate bacteria that were closely related with S. mutans abundance were identified and confirmed by absolute quantitative real-time PCR in clinical dental plaque samples from CF and SECC groups.Results Through in-depth analysis of dental plaque microorganism, Leptotrichia, Selenomonas and Prevotella_7 were found in the S. mutans-low group (p < 0.05) and Porphyromonas, Selenomonas_3 were found in the S. mutans-high group (p < 0.05). Through quantitative real-time PCR, Leptotrichia, Selenomonas and Prevotella_7 were identified as the potential biomarkers of SECC when S. mutans was at a low level.Conclusion Leptotrichia, Selenomonas and Prevotella_7 are identified as potential biomarkers in SECC with a low abundance or without S. mutans. Our study may shed light on the understanding of caries occurrence in SECC with low abundance of S. mutans.Abbreviations S. mutans, Streptococcus mutans; CF, caries-free; SECC, severe early childhood caries; ECC, early childhood caries; rRNA, ribosome RNA; qPCR, Quantitative real-time PCR; OTUs, operational taxonomic units; ANOVA, analysis of variance; LDA, Linear discriminant analysis; LEfSe, Linear discriminant analysis effect size; COG, Groups of proteins; NMDS, Non-MetricMulti-Dimensional Scaling; IL-1β, interleukin −1β; IL-6, interleukin-6; IL-8, interleukin-8; IL-10, interleukin-10.

Keywords