Evidence map›Paper›PMID 40853032›Full record

ArticleClinical oral implants research2025

In Vitro Assessment of a Novel Piranha-Passivated Dental Implant Surface Against Oral Biofilm Formation.

Paula Nuevo, Leire Virto, Honorato Ribeiro-Vidal, Javier Gil, Mariano Sanz

Abstract read
In one paragraph

Article in Clinical oral implants research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Paula NuevoETEP (Etiology and Therapy of Periodontal and Peri-Implant Diseases) Research Group, Faculty of Dentistry, Complutense University, Madrid, Spain.ORCID 0009-0005-7689-7824
Leire VirtoETEP (Etiology and Therapy of Periodontal and Peri-Implant Diseases) Research Group, Faculty of Dentistry, Complutense University, Madrid, Spain.ORCID 0000-0002-3376-5232
Honorato Ribeiro-VidalSpecialization in Periodontology and Implants, Faculty of Dental Medicine, University of Porto, Porto, Portugal.ORCID 0000-0002-1865-127X
Javier GilBioinspired Oral Biomaterials and Interfaces, Department of Ciencia e Ingeniería de Materiales, Escola d'Enginyeria Barcelona Est, Technical University of Catalonia, Barcelona, Spain.ORCID 0000-0002-6824-1412
Mariano SanzETEP (Etiology and Therapy of Periodontal and Peri-Implant Diseases) Research Group, Faculty of Dentistry, Complutense University, Madrid, Spain.ORCID 0000-0002-6293-5755

Funding

Cátedra Extraordinaria Klockner de investigación básica y aplicada en implantes dentales
6 · The paper itself

Abstract

BACKGROUND AND

objectivesPeri-implantitis, a significant complication resulting from bacterial colonization on dental implants, presents a challenge in oral healthcare. Developing surfaces that inhibit bacterial adhesion while promoting tissue integration is crucial for improving implant outcomes. This study aims to evaluate bacterial colonization on a novel passivated surface for dental implants using an in vitro multispecies biofilm model. MATERIALS AND

methodsThree types of titanium implants (standard, citric acid-passivated, and piranha-passivated) were characterized by analyzing roughness, contact angle values, and surface energy after the passivation treatments. The capacity for biofilm formation on these implants was evaluated using quantitative polymerase chain reaction (qPCR), scanning electron microscopy (SEM), and confocal laser scanning microscopy (CLSM). Bacterial colonization and viability were assessed at 6, 12, and 24 h. In addition, the protein adsorption capacity of these surfaces was determined.

resultsTreatments increased hydrophilicity and polar surface energy, with no change in roughness. Although no statistically significant differences were found, a slightly lower concentration of primary and intermediate colonizers was observed on piranha-treated surfaces compared to citric acid implants, particularly during the 24-h incubation period. CLSM analyses revealed a higher percentage of dead bacteria on piranha-passivated implants over time. Piranha passivation also resulted in the lowest fibrinogen adsorption.

conclusionThese findings suggest that piranha passivation may be a promising treatment for dental implant surfaces, potentially reducing the risk of peri-implantitis. However, the inherent limitations of the in vitro approach necessitate further clinical trials to validate the efficacy of this surface modification in real-world clinical settings.

Indexed as

BiofilmsDental ImplantsBacterial AdhesionCitric AcidHumansIn Vitro TechniquesMicroscopy, ConfocalMicroscopy, Electron, ScanningPeri-ImplantitisSurface PropertiesTitaniumCitric AcidDental ImplantsTitaniumdental meshesmultispecies biofilmpassivationperi‐implantitispiranhatitanium

Identifiers

PMID40853032
PMCPMC12669432

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.