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Relevance of Biofilm Models in Periodontal Research: From Static to Dynamic Systems

dc.contributor.authorSánchez Beltrán, María Del Carmen
dc.contributor.authorAlonso Español, Andrea
dc.contributor.authorRibeiro Vidal, Honorato
dc.contributor.authorAlonso Álvarez, Bettina María
dc.contributor.authorHerrera González, David
dc.contributor.authorSanz Alonso, Mariano
dc.date.accessioned2024-10-22T10:21:28Z
dc.date.available2024-10-22T10:21:28Z
dc.date.issued2021-02-18
dc.description.abstractMicrobial biofilm modeling has improved in sophistication and scope, although only a limited number of standardized protocols are available. This review presents an example of a biofilm model, along with its evolution and application in studying periodontal and peri-implant diseases. In 2011, the ETEP (Etiology and Therapy of Periodontal and Peri-Implant Diseases) research group at the University Complutense of Madrid developed an in vitro biofilm static model using representative bacteria from the subgingival microbiota, demonstrating a pattern of bacterial colonization and maturation similar to in vivo subgingival biofilms. When the model and its methodology were standardized, the ETEP research group employed the validated in vitro biofilm model for testing in different applications. The evolution of this model is described in this manuscript, from the mere observation of biofilm growth and maturation on static models on hydroxyapatite or titanium discs, to the evaluation of the impact of dental implant surface composition and micro-structure using the dynamic biofilm model. This evolution was based on reproducing the ideal microenvironmental conditions for bacterial growth within a bioreactor and reaching the target surfaces using the fluid dynamics mimicking the salivary flow. The development of this relevant biofilm model has become a powerful tool to study the essential processes that regulate the formation and maturation of these important microbial communities, as well as their behavior when exposed to different antimicrobial compounds.en
dc.description.departmentDepto. de Especialidades Clínicas Odontológicas
dc.description.facultyFac. de Odontología
dc.description.refereedTRUE
dc.description.statuspub
dc.identifier.citationSánchez MC, Alonso-Español A, Ribeiro-Vidal H, Alonso B, Herrera D, Sanz M. Relevance of Biofilm Models in Periodontal Research: From Static to Dynamic Systems. Microorganisms. 2021 Feb 19;9(2):428. doi: 10.3390/microorganisms9020428
dc.identifier.doi10.3390/microorganisms9020428
dc.identifier.essn2076-2607
dc.identifier.officialurlhttps://doi.org/10.3390/microorganisms9020428
dc.identifier.pmid33669562
dc.identifier.relatedurlhttps://www.mdpi.com/2076-2607/9/2/428
dc.identifier.relatedurlhttps://pubmed.ncbi.nlm.nih.gov/33669562/
dc.identifier.urihttps://hdl.handle.net/20.500.14352/109209
dc.issue.number2
dc.journal.titleMicroorganisms
dc.language.isoeng
dc.page.initial428
dc.publisherMDPI
dc.rightsAttribution 4.0 Internationalen
dc.rights.accessRightsopen access
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subject.cdu616.314.17-008.1
dc.subject.cdu616.314-089.843
dc.subject.cdu579.61
dc.subject.cdu616-073
dc.subject.keywordRobbins device
dc.subject.keywordBiofilm models
dc.subject.keywordConfocal laser microscopy
dc.subject.keywordDental implants
dc.subject.keywordDynamic systems
dc.subject.keywordOral biofilms
dc.subject.keywordPeri-implant diseases
dc.subject.keywordPeriodontal diseases
dc.subject.keywordScanning electron microscopy
dc.subject.ucmCiencias Biomédicas
dc.subject.ucmOdontología (Odontología)
dc.subject.ucmPeriodoncia
dc.subject.ucmImplantes dentales
dc.subject.ucmMicrobiología médica
dc.subject.ucmDiagnóstico por imagen y medicina nuclear
dc.subject.unesco32 Ciencias Médicas
dc.subject.unesco3213.13 Ortodoncia-Estomatología
dc.subject.unesco3213 Cirugía
dc.subject.unesco3201.03 Microbiología Clínica
dc.titleRelevance of Biofilm Models in Periodontal Research: From Static to Dynamic Systemsen
dc.typejournal article
dc.type.hasVersionVoR
dc.volume.number9
dspace.entity.typePublication
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relation.isAuthorOfPublication186ddd16-d664-493a-9cb8-2264afe56d9b
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relation.isAuthorOfPublication.latestForDiscovery27fce85c-05b6-4420-b0a4-22ef8510f4e2

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