Please use this identifier to cite or link to this item: https://hdl.handle.net/10316/109362
DC FieldValueLanguage
dc.contributor.authorRosa, Nuno-
dc.contributor.authorCorreia, Maria José-
dc.contributor.authorArrais, Joel P.-
dc.contributor.authorCosta, Nuno-
dc.contributor.authorOliveira, José Luís-
dc.contributor.authorBarros, Marlene-
dc.date.accessioned2023-10-11T09:35:49Z-
dc.date.available2023-10-11T09:35:49Z-
dc.date.issued2014-
dc.identifier.issn2314-6133pt
dc.identifier.issn2314-6141pt
dc.identifier.urihttps://hdl.handle.net/10316/109362-
dc.description.abstractPeriodontal disease (PD) is characterized by a deregulated inflammatory response which fails to resolve, activating bone resorption. The identification of the proteomes associated with PD has fuelled biomarker proposals; nevertheless, many questions remain. Biomarker selection should favour molecules representing an event which occurs throughout the disease progress. The analysis of proteome results and the information available for each protein, including its functional role, was accomplished using the OralOme database. The integrated analysis of this information ascertains if the suggested proteins reflect the cell and/or molecular mechanisms underlying the different forms of periodontal disease. The evaluation of the proteins present/absent or with very different concentrations in the proteome of each disease state was used for the identification of the mechanisms shared by different PD variants or specific to such state. The information presented is relevant for the adequate design of biomarker panels for PD. Furthermore, it will open new perspectives and help envisage future studies targeted to unveil the functional role of specific proteins and help clarify the deregulation process in the PD inflammatory response.pt
dc.language.isoengpt
dc.rightsopenAccesspt
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt
dc.subject.meshBiofilmspt
dc.subject.meshBiomarkerspt
dc.subject.meshBone Resorptionpt
dc.subject.meshChronic Diseasept
dc.subject.meshDisease Progressionpt
dc.subject.meshFibroblastspt
dc.subject.meshGingivapt
dc.subject.meshGingivitispt
dc.subject.meshHumanspt
dc.subject.meshInflammationpt
dc.subject.meshMacrophagespt
dc.subject.meshMonocytespt
dc.subject.meshNeutrophilspt
dc.subject.meshPeriodontal Diseasespt
dc.titleThe landscape of protein biomarkers proposed for periodontal disease: markers with functional meaningpt
dc.typearticle-
degois.publication.firstPage569632pt
degois.publication.lastPage15pt
degois.publication.titleBioMed Research Internationalpt
dc.peerreviewedyespt
dc.identifier.doi10.1155/2014/569632pt
degois.publication.volume2014pt
dc.date.embargo2014-01-01*
uc.date.periodoEmbargo0pt
item.grantfulltextopen-
item.cerifentitytypePublications-
item.languageiso639-1en-
item.openairetypearticle-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.fulltextCom Texto completo-
crisitem.author.researchunitADAI - Association for the Development of Industrial Aerodynamics-
crisitem.author.researchunitCISUC - Centre for Informatics and Systems of the University of Coimbra-
crisitem.author.parentresearchunitFaculty of Sciences and Technology-
crisitem.author.orcid0000-0002-1314-165X-
crisitem.author.orcid0000-0003-4937-2334-
Appears in Collections:I&D CISUC - Artigos em Revistas Internacionais
FCTUC Eng.Informática - Artigos em Revistas Internacionais
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This item is licensed under a Creative Commons License Creative Commons