Identification of a discriminative metabolomic fingerprint of potential clinical relevance in saliva of patients with periodontitis using 1H nuclear magnetic resonance (NMR) spectroscopy
| Autor: | D. Guez, Matthias Rzeznik, B. Duchemann, Mohamed N. Triba, Pierre Levy, Eliot Botosoa, Philippe Savarin, Sébastien Jungo, Jean-François Bernaudin, Laurence Le Moyec |
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| Přispěvatelé: | Service d'Odontologie [Bretonneau], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Hôpital Bretonneau, Chimie, Structures et Propriétés de Biomatériaux et d'Agents Thérapeutiques (CSPBAT), Université Paris 13 (UP13)-Institut Galilée-Université Sorbonne Paris Cité (USPC)-Institut de Chimie du CNRS (INC)-Centre National de la Recherche Scientifique (CNRS), CHU Tenon [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU), Institut Pierre Louis d'Epidémiologie et de Santé Publique (iPLESP), Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut National de la Santé et de la Recherche Médicale (INSERM), Service de pneumologie [Avicenne], Hôpital Avicenne [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP), Unité de biologie intégrative des adaptations à l'exercice (UBIAE), Université d'Évry-Val-d'Essonne (UEVE)-Institut National de la Santé et de la Recherche Médicale (INSERM), Université Pierre et Marie Curie - Paris 6 (UPMC), Hypoxie et Poumon : pneumopathologies fibrosantes, modulations ventilatoires et circulatoires (H&P), Université Paris 13 (UP13)-UFR SMBH, Institut de Chimie du CNRS (INC)-Centre National de la Recherche Scientifique (CNRS)-Université Paris 13 (UP13)-Institut Galilée-Université Sorbonne Paris Cité (USPC), Service de Santé Publique [CHU Tenon], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-CHU Tenon [AP-HP], Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université d'Évry-Val-d'Essonne (UEVE) |
| Jazyk: | angličtina |
| Rok vydání: | 2017 |
| Předmět: |
Male
0301 basic medicine Pathology Saliva Teeth Physiology Proton Magnetic Resonance Spectroscopy lcsh:Medicine Spectrum analysis techniques Biochemistry Generalized periodontitis Gastroenterology Mathematical and Statistical Techniques 0302 clinical medicine Oral Diseases Medicine and Health Sciences Metabolites lcsh:Science Principal Component Analysis Multidisciplinary Absorption Spectroscopy Middle Aged Body Fluids 3. Good health Physical Sciences Metabolome Female [SDV.IB]Life Sciences [q-bio]/Bioengineering Anatomy Statistics (Mathematics) Research Article Adult medicine.medical_specialty Oral Medicine Context (language use) Biology 03 medical and health sciences NMR spectroscopy Metabolomics Internal medicine medicine Humans Clinical significance Statistical Methods Periodontitis Periodontal Diseases OPLS lcsh:R Biology and Life Sciences 030206 dentistry medicine.disease Research and analysis methods Metabolism 030104 developmental biology Jaw Multivariate Analysis lcsh:Q [SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie Digestive System Head Mathematics |
| Zdroj: | PLoS ONE PLoS ONE, 2017, 12 (8), pp.e0182767. ⟨10.1371/journal.pone.0182767⟩ PLoS ONE, Public Library of Science, 2017, 12 (8), pp.e0182767. ⟨10.1371/journal.pone.0182767⟩ PLoS ONE, Vol 12, Iss 8, p e0182767 (2017) |
| ISSN: | 1932-6203 |
| DOI: | 10.1371/journal.pone.0182767⟩ |
| Popis: | International audience; Periodontitis is characterized by the loss of the supporting tissues of the teeth in an inflammatory-infectious context. The diagnosis relies on clinical and X-ray examination. Unfortunately, clinical signs of tissue destruction occur late in the disease progression. Therefore, it is mandatory to identify reliable biomarkers to facilitate a better and earlier management of this disease. To this end, saliva represents a promising fluid for identification of biomarkers as metabolomic fingerprints. The present study used high-resolution 1H-nuclear magnetic resonance (NMR) spectroscopy coupled with multivariate statistical analysis to identify the metabolic signature of active periodontitis. The metabolome of stimulated saliva of 26 patients with generalized periodontitis (18 chronic and 8 aggressive) was compared to that of 25 healthy controls. Principal Components Analysis (PCA), performed with clinical variables, indicated that the patient population was homogeneous, demonstrating a strong correlation between the clinical and the radiological variables used to assess the loss of periodontal tissues and criteria of active disease. Orthogonal Projection to Latent Structure (OPLS) analysis showed that patients with periodontitis can be discriminated from controls on the basis of metabolite concentrations in saliva with satisfactory explained variance (R2X = 0.81 and R2Y = 0.61) and predictability (Q2Y = 0.49, CV-AUROC = 0.94). Interestingly, this discrimination was irrespective of the type of generalized periodontitis, i.e. chronic or aggressive. Among the main discriminating metabolites were short chain fatty acids as butyrate, observed in higher concentrations, and lactate, γ-amino-butyrate, methanol, and threonine observed in lower concentrations in periodontitis. The association of lactate, GABA, and butyrate to generate an aggregated variable reached the best positive predictive value for diagnosis of periodontitis. In conclusion, this pilot study showed that 1H-NMR spectroscopy analysis of saliva could differentiate patients with periodontitis from controls. Therefore, this simple, robust, non-invasive method, may offer a significant help for early diagnosis and follow-up of periodontitis. |
| Databáze: | OpenAIRE |
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