Salivary metabolomics for the diagnosis of periodontal diseases: a systematic review with methodological quality assessment
Top Cited Papers
- 1 January 2021
- journal article
- review article
- Published by Springer Science and Business Media LLC in Metabolomics
- Vol. 17 (1), 1-21
- https://doi.org/10.1007/s11306-020-01754-3
Abstract
Introduction Early diagnosis of periodontitis by means of a rapid, accurate and non-invasive method is highly desirable to reduce the individual and epidemiological burden of this largely prevalent disease. Objectives The aims of the present systematic review were to examine potential salivary metabolic biomarkers and pathways associated to periodontitis, and to assess the accuracy of salivary untargeted metabolomics for the diagnosis of periodontal diseases. Methods Relevant studies identified from MEDLINE (PubMed), Embase and Scopus databases were systematically examined for analytical protocols, metabolic biomarkers and results from the multivariate analysis (MVA). Pathway analysis was performed using the MetaboAnalyst online software and quality assessment by means of a modified version of the QUADOMICS tool. Results Twelve studies met the inclusion criteria, with sample sizes ranging from 19 to 130 subjects. Compared to periodontally healthy individuals, valine, phenylalanine, isoleucine, tyrosine and butyrate were found upregulated in periodontitis patients in most studies; while lactate, pyruvate and N-acetyl groups were the most significantly expressed in healthy individuals. Metabolic pathways that resulted dysregulated are mainly implicated in inflammation, oxidative stress, immune activation and bacterial energetic metabolism. The findings from MVA revealed that periodontitis is characterized by a specific metabolic signature in saliva, with coefficients of determination ranging from 0.52 to 0.99. Conclusions This systematic review summarizes candidate metabolic biomarkers and pathways related to periodontitis, which may provide opportunities for the validation of diagnostic or predictive models and the discovery of novel targets for monitoring and treating such a disease (PROSPERO CRD42020188482).Keywords
This publication has 86 references indexed in Scilit:
- Ratio of Pro-Resolving and Pro-Inflammatory Lipid Mediator Precursors as Potential Markers for Aggressive PeriodontitisPLOS ONE, 2013
- NMR-based metabolomics in human disease diagnosis: applications, limitations, and recommendationsMetabolomics, 2013
- Update of the Case Definitions for Population‐Based Surveillance of PeriodontitisThe Journal of Periodontology, 2012
- Targeted MetabolomicsCurrent Protocols in Molecular Biology, 2012
- Meta-analysis of untargeted metabolomic data from multiple profiling experimentsNature Protocols, 2012
- Bacterial and Salivary Biomarkers Predict the Gingival Inflammatory ProfileThe Journal of Periodontology, 2012
- Saliva/Pathogen Biomarker Signatures and Periodontal Disease ProgressionJournal of Dental Research, 2011
- Acceleration of Purine Degradation by Periodontal DiseasesJournal of Dental Research, 2009
- Capillary electrophoresis mass spectrometry-based saliva metabolomics identified oral, breast and pancreatic cancer-specific profilesMetabolomics, 2009
- l -Valine Production with Pyruvate Dehydrogenase Complex-Deficient Corynebacterium glutamicumApplied and Environmental Microbiology, 2007