Salivary metabolomics for the diagnosis of periodontal diseases: a systematic review with methodological quality assessment

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dc.contributor.authorBaima, Giacomo
dc.contributor.authorIaderosa, Giovanni
dc.contributor.authorCitterio, Filippo
dc.contributor.authorGrossi, Silvia
dc.contributor.authorRomano, Federica
dc.contributor.authorBerta, Giovanni N.
dc.contributor.authorAimetti, Mario
dc.date.accessioned2021-05-03T20:33:30Z
dc.date.available2021-05-03T20:33:30Z
dc.date.issued2021
dc.departmentEge Üniversitesien_US
dc.description.abstractIntroduction 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).en_US
dc.identifier.doi10.1007/s11306-020-01754-3en_US
dc.identifier.issn1573-3882
dc.identifier.issn1573-3890
dc.identifier.issue1en_US
dc.identifier.pmid33387070en_US
dc.identifier.scopus2-s2.0-85098493518en_US
dc.identifier.scopusqualityQ2en_US
dc.identifier.urihttps://doi.org/10.1007/s11306-020-01754-3
dc.identifier.urihttps://hdl.handle.net/11454/70050
dc.identifier.volume17en_US
dc.identifier.wosWOS:000605408800001en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.indekslendigikaynakPubMeden_US
dc.language.isoenen_US
dc.publisherSpringeren_US
dc.relation.ispartofMetabolomicsen_US
dc.relation.publicationcategoryMakale - Ulusal Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectPeriodontitisen_US
dc.subjectMetabolomicsen_US
dc.subjectMetabolitesen_US
dc.subjectDiagnosisen_US
dc.subjectBiomarkersen_US
dc.titleSalivary metabolomics for the diagnosis of periodontal diseases: a systematic review with methodological quality assessmenten_US
dc.typeReview Articleen_US

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