In vivo (Athens, Greece) · 2026
Salivary Metabolomics: A Pilot Study for Screening Biomarkers in Mild-to-moderate Periodontitis.
СтатьяНазвание и аннотация: Перевод в очереди
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Edamatsu Kaoru, Ishikawa Shigeo, Sugimoto Masahiro, Okuyama Naoki, Yusa Kazuyuki, Kitabatake Kenichiro, Hemmi Tomoharu, Iino Mitsuyoshi
Аннотация
BACKGROUND/AIM: This study aims to identify salivary metabolites that can discriminate patients with mild and moderate periodontitis from healthy controls through comprehensive metabolomic analyses using capillary electrophoresis-mass spectrometry (CE-MS).
PATIENTS AND METHODS: Forty healthy controls, 40 patients with mild periodontitis, and 40 patients with moderate periodontitis were enrolled. Whole unstimulated saliva samples were collected from the participants, and CE-MS was used to comprehensively analyze salivary metabolites. Furthermore, a multiple logistic regression (MLR) model was developed using multiple candidate metabolites, and the combinations of metabolites with the highest area under the curve (AUC) were identified.
RESULTS: The concentrations of 34 metabolites significantly differed between the mild/moderate periodontitis group and healthy controls. Of these, three were used to develop the MLR model: O-acetylcarnitine, tyrosine, and histidine. The AUC value based on the combination of these three metabolites was 0.867 (sensitivity: 0.73, specificity: 0.90, 95% confidence interval=0.804-0.929, p<0.001) for discriminating between patients with mild and moderate periodontitis and healthy controls.
CONCLUSION: Salivary metabolites, including O-acetylcarnitine, tyrosine, and histidine, may serve as potential non-invasive biomarkers for mild-to-moderate periodontitis.
PATIENTS AND METHODS: Forty healthy controls, 40 patients with mild periodontitis, and 40 patients with moderate periodontitis were enrolled. Whole unstimulated saliva samples were collected from the participants, and CE-MS was used to comprehensively analyze salivary metabolites. Furthermore, a multiple logistic regression (MLR) model was developed using multiple candidate metabolites, and the combinations of metabolites with the highest area under the curve (AUC) were identified.
RESULTS: The concentrations of 34 metabolites significantly differed between the mild/moderate periodontitis group and healthy controls. Of these, three were used to develop the MLR model: O-acetylcarnitine, tyrosine, and histidine. The AUC value based on the combination of these three metabolites was 0.867 (sensitivity: 0.73, specificity: 0.90, 95% confidence interval=0.804-0.929, p<0.001) for discriminating between patients with mild and moderate periodontitis and healthy controls.
CONCLUSION: Salivary metabolites, including O-acetylcarnitine, tyrosine, and histidine, may serve as potential non-invasive biomarkers for mild-to-moderate periodontitis.