ArticleJournal of translational medicine2025
Integrated salivary microbiome and metabolome profiling reveals ecological and functional alterations in severe early childhood caries.
Article in Journal of translational medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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.
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.
Who cites it
4 citing papers in PubMed.
- Article
- Identification ofMicroorganisms · 2026Article
- Mechanisms of caries induced by sugars: a narratives review from microbial metabolism to oral ecological imbalance and public health strategies for caries prevention.Frontiers in cellular and infection microbiology · 2026Review
- Salivary proteins, proteases, and disease pathophysiology in oral health and precision diagnostics: a narrative review.Frontiers in dental medicine · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
Abstract
backgroundEarly childhood caries (ECC), particularly severe early childhood caries (S-ECC), remains a prevalent chronic disease, significantly affecting children's health and quality of life. Despite extensive research, the detailed ecological and metabolic shifts underlying S-ECC pathogenesis are still poorly characterized. Integrating microbial and metabolic profiling of saliva may provide crucial insights and identify novel biomarkers and therapeutic targets.
methodsWe performed high-throughput 16S rRNA gene sequencing and untargeted metabolomics to comprehensively profile the salivary microbiome and metabolome in children with S-ECC (n = 30) compared to caries-free (CF) controls (n = 30). Differential microbial taxa and metabolites were identified, and their functional implications were explored through KEGG pathway enrichment analysis. Furthermore, integrated correlation analysis was conducted to uncover interactions between key microbial taxa and metabolites.
resultsMicrobial community analysis revealed significant ecological alterations in the saliva of children with S-ECC, characterized by enrichment of potentially cariogenic taxa, including Rothia, Lautropia, Lactobacillus, Achromobacter, as well as Streptococcus mutans, Prevotella histicola, and Lachnoanaerobaculum saburreum. Conversely, health-associated genera such as Bergeyella and Acinetobacter were more abundant in CF children. Metabolomics identified a total of 4,325 salivary metabolites, among which 1,226 differed significantly between groups. Notably, metabolites involved in amino acid metabolism pathways-phenylalanine, tyrosine, D-amino acids, aminobenzoate, arginine, and proline-were upregulated in S-ECC saliva. Integrated analysis further revealed strong positive correlations between key cariogenic bacteria (S. mutans, P. histicola, L. saburreum) and multiple metabolites, including succinic acid, 2-piperidone, D-3-phenyllactic acid, 5-aminovaleric acid, L-malic acid, 2-hydroxypalmitic acid, LPE (16:0), vitamin K1 2,3-epoxide, leucylproline, and L-valine.
conclusionsOur findings demonstrate distinct ecological and functional signatures in the salivary microbiome and metabolome associated with S-ECC. The identified microbial and metabolic alterations, particularly in amino acid metabolism, provide novel insights into the pathogenesis of S-ECC and highlight potential biomarkers for early detection and targeted intervention. However, the cross-sectional design and single time-point saliva collection limit the ability to assess longitudinal dynamics. Future longitudinal studies are warranted to track microbial and metabolomic changes during disease progression and intervention.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.