Evidence map›Paper›PMID 37328866›Full record

ArticleBMC oral health2023

Oral microbial communities in 5-year-old children with versus without dental caries.

Zhengyan Yang, Ting Cai, Yueheng Li, Dan Jiang, Jun Luo, Zhi Zhou

Abstract read
In one paragraph

Article in BMC oral health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

  1. Review
  2. Multicohort external validation ofFrontiers in cellular and infection microbiology · 2026
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Zhengyan YangStomatological Hospital of Chongqing Medical University, Chongqing, 400015, China.
Ting CaiStomatological Hospital of Chongqing Medical University, Chongqing, 400015, China.
Yueheng LiStomatological Hospital of Chongqing Medical University, Chongqing, 400015, China.
Dan JiangChongqing Key Laboratory of Oral Biomedical Engineering of Higher Education, Chongqing, 400015, China.
Jun LuoStomatological Hospital of Chongqing Medical University, Chongqing, 400015, China. 500210@hospital.cqmu.edu.cn.
Zhi ZhouStomatological Hospital of Chongqing Medical University, Chongqing, 400015, China. 500119@hospital.cqmu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCaries in young children has received more and more attention. The study of the oral microbiota may help to understand the polymicrobial etiology of dental caries.

objectivesTo investigate the diversity and structure of microbial communities in saliva samples from 5-year-old children with versus without dental caries.

methodsA total of 36 saliva samples were collected from 18 children with high caries (HB group) and from 18 children without caries (NB group). Then, 16S rDNA was amplified from bacterial samples using polymerase chain reaction, and high-throughput sequencing was performed using Illumina Novaseq platforms.

resultsSequences were clustered into operational taxonomic units (OTUs), which were distributed among 16 phyla, 26 classes, 56 orders, 93 families, 173 genera, and 218 species. Firmicutes, Bacteroides, Proteobacteria, Actinobacteria, Fusobacteria, Patescibacteria, Epsilonbacteraeota, Cyanobacteria, Acidobacteria and Spirochaetes were basically the same in different groups, but their relative abundances were different. The core microbiome was defined as the species from 218 shared microbial taxa. The alpha diversity test showed that there were no significant differences in microbial abundance and diversity between the high caries and no caries groups. The results from principal coordinate analysis (PCoA) and hierarchical clustering showed that the two groups had similar microorganisms. The biomarkers of different groups were defined by LEfSe analysis to identify potential caries-related and health-related bacteria. Co-occurrence network analysis of dominant genera showed that oral microbial communities in the no caries group were more complex and aggregated than those in the high caries group. Finally, the PICRUSt algorithm was used to predict the function of the microbial communities from saliva samples. The obtained results showed that mineral absorption was greater in the no caries group than in the high caries group. BugBase was used to determine phenotypes present in microbial community samples. The obtained results showed that Streptococcus was greater in the high caries group than in the no caries group.

conclusionFindings of this study provide a comprehensive understanding of the microbiological etiology of dental caries in 5-year-old children and are expected to provide new methods for its prevention and treatment.

Indexed as

Dental CariesMicrobiotaBacteriaHumansRNA, Ribosomal, 16SSalivaStreptococcusRNA, Ribosomal, 16SBiodiversityDental cariesHigh-throughput sequencingMicrobial communityPreschool childrenSaliva

Identifiers

PMID37328866
PMCPMC10276436

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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 OpenQuestion graph.