Protein-based salivary biomarkers for the diagnosis of periodontal diseases: Systematic review and meta-analysis

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dc.contributor.authorArroyo, Esteban [UNESP]
dc.contributor.authorOliveira-Alves, Mónica G.
dc.contributor.authorChamorro-Petronacci, Cintia M.
dc.contributor.authorMarichalar-Mendia, Xabier
dc.contributor.authorBravo-López, Susana B.
dc.contributor.authorBlanco-Carrión, Juan
dc.contributor.authorPérez-Sayáns, Mario
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)
dc.contributor.institutionUniversidade Mogi das Cruzes
dc.contributor.institutionAnhembi Morumbi University
dc.contributor.institutionUniversity of Santiago de Compostela
dc.contributor.institutionORALRES Group Instituto de Investigación de Santiago (IDIS)
dc.contributor.institutionUniversity of the Basque Country (UPV/EHU)
dc.contributor.institutionBarakaldo
dc.contributor.institutionHealth Research Institute
dc.contributor.institutionHealth Research Institute of Santiago de Compostela (IDIS)
dc.date.accessioned2023-07-29T13:36:11Z
dc.date.available2023-07-29T13:36:11Z
dc.date.issued2023-08-01
dc.description.abstractObjective: This systematic review and meta-analysis was aimed at determining differentially expressed protein-based biomarkers detectable in the saliva for the diagnosis of major periodontal diseases. Methods: A literature review was conducted through January 31, 2022. The methodological quality and risk of bias were assessed with the Newcastle–Ottawa scale for case-control studies. Heterogeneity among studies was analysed with the Q statistical test and the I2 test. p-values lower than 0.10 and I2 values higher than 50% indicated high heterogeneity among studies; therefore, the random-effects model was used. The analysis of biological pathways associated with the differentially expressed protein markers was performed with the STITCH integration analysis tool and was limited to interactions with high confidence levels (0.7). Results: Of all protein-based biomarkers detected, 12 were suitable for meta-analysis: IL-1β, MIP-1α, albumin, TNF-α, ICTP, Ig-A, lactoferrin, MMP-8, IL-6, IL-8, IL-17 and PGE2. The salivary markers with high applicability were IL-1β for differentiating patients with chronic periodontal disease from patients with gingivitis with an OE = 73.5 pg/mL; ICTP for differentiating patients with chronic periodontal disease from healthy control patients with an OE = 0.091 ng/mL; and PGE2 for differentiating patients with chronic periodontal disease from healthy control patients with an OE = 36.3 pg/mL. Conclusions: The biomarkers with the highest differential expression and the greatest potential for clinical applicability are IL-1β for differentiating periodontitis from gingivitis, and ICTP and PGE2 for differentiating periodontitis from healthy status.en
dc.description.affiliationDepartment of Diagnosis and Surgery Araraquara School of Dentistry Sao Paulo State University (Unesp), SP
dc.description.affiliationTechnology Research Center (NPT) Universidade Mogi das Cruzes, Mogi das Cruces
dc.description.affiliationSchool of Medicine Anhembi Morumbi University, Sao José dos Campos
dc.description.affiliationOral Medicine Oral Surgery and Implantology Unit (MedOralRes) Faculty of Dentistry University of Santiago de Compostela
dc.description.affiliationORALRES Group Instituto de Investigación de Santiago (IDIS)
dc.description.affiliationGrupo GIU21/042 Department of Nursing I University of the Basque Country (UPV/EHU), Barrio Sarriena s/n, Leioa, Bizkaia
dc.description.affiliationBioCruces-Bizkaia Health Research Institute Barakaldo
dc.description.affiliationProteomic Platform Health Research Institute, A Coruña
dc.description.affiliationPeriodontology Unit School of Medicine and Dentistry University of Santiago de Compostela
dc.description.affiliationOdontología Médico-Quirúrgica (OMEQUI) Research Group Health Research Institute of Santiago de Compostela (IDIS)
dc.description.affiliationUnespDepartment of Diagnosis and Surgery Araraquara School of Dentistry Sao Paulo State University (Unesp), SP
dc.description.sponsorshipCoordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
dc.description.sponsorshipConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
dc.description.sponsorshipIdCNPq: 88881.154490/2017-01
dc.format.extent737-747
dc.identifierhttp://dx.doi.org/10.1016/j.jtumed.2022.12.004
dc.identifier.citationJournal of Taibah University Medical Sciences, v. 18, n. 4, p. 737-747, 2023.
dc.identifier.doi10.1016/j.jtumed.2022.12.004
dc.identifier.issn1658-3612
dc.identifier.scopus2-s2.0-85146001751
dc.identifier.urihttp://hdl.handle.net/11449/248163
dc.language.isoeng
dc.relation.ispartofJournal of Taibah University Medical Sciences
dc.sourceScopus
dc.subjectBiomarkers
dc.subjectGingivitis
dc.subjectPeriodontal diseases
dc.subjectPeriodontitis
dc.titleProtein-based salivary biomarkers for the diagnosis of periodontal diseases: Systematic review and meta-analysisen
dc.typeResenha
unesp.author.orcid0000-0001-5948-9443 0000-0001-5948-9443[4]
unesp.author.orcid0000-0003-2196-9868 0000-0003-2196-9868[7]

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