Leukoplakia is a condition marked by white patches on the inner surfaces of the oral cavity. Its potential to progress to oral squamous cell carcinoma underscores the need for effective screening and early diagnosis procedures. We employed NMR-based salivary and tissue metabolomics to identify potential biomarkers for leukoplakia and dysplastic leukoplakia. Univariate and multivariate methods were used to evaluate the NMR-derived metabolite concentrations. The salivary metabolite profile of leukoplakia exhibited specific alterations compared to healthy controls. These metabolic changes were more pronounced in cases of dysplastic lesions. Multivariate ROC curve analysis, based on a selection of salivary metabolites, ascribed high diagnostic accuracy to the models that discriminate between dysplastic and healthy cases. However, NMR analysis of tissue biopsies was ineffective in extracting metabolic signatures to differentiate between lesional, peri-lesional, and healthy tissues. Our pilot study employing a metabolomics-based approach led to the development of salivary models that represent a complementary strategy for clinically detecting leukoplakia. However, larger-scale validation is required to fully evaluate their diagnostic potential and to effectively stratify leukoplakia patients according to dysplasia status.
Ferrari, E., Antonelli, R., Gallo, M., Meleti, M., Setti, G., Mucci, A., et al. (2025). Salivary Metabolomics Discloses Metabolite Signatures of Oral Leukoplakia with and Without Dysplasia. INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES, 26(13), 1-15 [10.3390/ijms26136519].
Salivary Metabolomics Discloses Metabolite Signatures of Oral Leukoplakia with and Without Dysplasia
Righi V.;
2025
Abstract
Leukoplakia is a condition marked by white patches on the inner surfaces of the oral cavity. Its potential to progress to oral squamous cell carcinoma underscores the need for effective screening and early diagnosis procedures. We employed NMR-based salivary and tissue metabolomics to identify potential biomarkers for leukoplakia and dysplastic leukoplakia. Univariate and multivariate methods were used to evaluate the NMR-derived metabolite concentrations. The salivary metabolite profile of leukoplakia exhibited specific alterations compared to healthy controls. These metabolic changes were more pronounced in cases of dysplastic lesions. Multivariate ROC curve analysis, based on a selection of salivary metabolites, ascribed high diagnostic accuracy to the models that discriminate between dysplastic and healthy cases. However, NMR analysis of tissue biopsies was ineffective in extracting metabolic signatures to differentiate between lesional, peri-lesional, and healthy tissues. Our pilot study employing a metabolomics-based approach led to the development of salivary models that represent a complementary strategy for clinically detecting leukoplakia. However, larger-scale validation is required to fully evaluate their diagnostic potential and to effectively stratify leukoplakia patients according to dysplasia status.| File | Dimensione | Formato | |
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