ArticleInflammation2025
Microbiological and Metabolomic Analysis of Biomarkers for Grades A and B in Stage II Periodontitis.
Article in Inflammation, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
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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
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Who cites it
2 citing papers in PubMed.
- Correlating bacterial load and periodontal disease severity: A large-scale study of the microbial landscape.Journal of periodontology · 2026Article
- From health to periodontitis: dynamic changes in the subgingival microbiome and their association with systemic inflammation levels.Frontiers in cellular and infection microbiology · 2026Article
Corrections and comments
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Authors and funding
8 authors.
Funding
Abstract
Periodontitis is a chronic inflammatory disease characterized by inflammation of the periodontal soft tissues and loss of alveolar bone. In the oral environment, subgingival microorganisms and salivary metabolites reflect the host's health status. This study aimed to understand periodontitis severity and progression rate by analyzing subgingival microflora and salivary metabolites to identify potential biomarkers. Fifty-three volunteers with stage II periodontitis were graded using the bone loss (%)/age index into two grades: 33 in grade A (< 0.25) and 20 in grade B (0.25-1.00). Using a case-control study, simultaneously analyzed biomarkers associated with the severity and rate of progression of periodontitis. The red complex, the orange complex, Campylobacter spp., uncultured Candidatus Saccharibacteria and metabolites such as 5-Aminovaleric acid, N1-Acetylspermine showed a significant positive correlation with periodontal clinical parameters. Furthermore, we identified four of the salivary differential metabolites (DL-Leucineamide, Dodecanedioic acid, L-Tyrosine methyl ester and Phenylpyruvic acid) that may serve as potential biomarkers for predicting the rate of periodontitis progression. These results showed that the red complex significantly correlated with periodontitis severity and influenced changes in salivary metabolites. Additionally, biomarkers indicating the progression rate were predominantly amino acid derivatives, confirming that interactions between microorganisms and metabolites may exacerbate periodontitis development.
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Registered trials
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