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Comparison between static and semi-dynamic models for microcosm biofilm formation on dentin
Microcosm biofilm has been applied to induce carious lesions in dentin. However, no study has been done to compare the impact of the type of model for providing nutrients to microcosm biofilm formation on dentin. OBJECTIVE: This study compared the performance of two kinds of models (static and semi-...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Faculdade De Odontologia De Bauru - USP
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6322641/ https://www.ncbi.nlm.nih.gov/pubmed/30624468 http://dx.doi.org/10.1590/1678-7757-2018-0163 |
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author | dos Santos, Daiana Moreli Soares Pires, Juliana Gonçalves Braga, Aline Silva Salomão, Priscila Maria Aranda Magalhães, Ana Carolina |
author_facet | dos Santos, Daiana Moreli Soares Pires, Juliana Gonçalves Braga, Aline Silva Salomão, Priscila Maria Aranda Magalhães, Ana Carolina |
author_sort | dos Santos, Daiana Moreli Soares |
collection | PubMed |
description | Microcosm biofilm has been applied to induce carious lesions in dentin. However, no study has been done to compare the impact of the type of model for providing nutrients to microcosm biofilm formation on dentin. OBJECTIVE: This study compared the performance of two kinds of models (static and semi-dynamic) on the biofilm formation and the development of dentin carious lesions. MATERIAL AND METHODS: In both models, biofilm was produced using inoculum from pooled human saliva mixed with McBain saliva for the first 8 h (5% CO(2) and 37°C). Afterwards, for the static model, the samples were placed in 24-wells microplate containing McBain saliva with 0.2% sucrose, which was replaced at 24 h. In the semi-dynamic model, the samples were submitted to artificial mouth system with continuous flow of McBain saliva with 0.2% sucrose (0.15 ml/min, 37°C) for 10 h a day (for the other 14 h, no flow was applied, similarly to the static model). After 5 days, biofilm viability was measured by fluorescence and dentin demineralization by transverse microradiography. RESULTS: Biofilm viability was significantly lower for the static compared with semi-dynamic model, while dentin demineralization was significantly higher for the first one (p<0.05). The static model was able to produce a higher number of typical subsurface lesions compared with the semi-dynamic model (p<0.05). CONCLUSIONS: The type of model (static and semi-dynamic) applied in the microcosm biofilm may have influence on it's viability and the severity/profile of dentin carious lesions. |
format | Online Article Text |
id | pubmed-6322641 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Faculdade De Odontologia De Bauru - USP |
record_format | MEDLINE/PubMed |
spelling | pubmed-63226412019-01-17 Comparison between static and semi-dynamic models for microcosm biofilm formation on dentin dos Santos, Daiana Moreli Soares Pires, Juliana Gonçalves Braga, Aline Silva Salomão, Priscila Maria Aranda Magalhães, Ana Carolina J Appl Oral Sci Original Article Microcosm biofilm has been applied to induce carious lesions in dentin. However, no study has been done to compare the impact of the type of model for providing nutrients to microcosm biofilm formation on dentin. OBJECTIVE: This study compared the performance of two kinds of models (static and semi-dynamic) on the biofilm formation and the development of dentin carious lesions. MATERIAL AND METHODS: In both models, biofilm was produced using inoculum from pooled human saliva mixed with McBain saliva for the first 8 h (5% CO(2) and 37°C). Afterwards, for the static model, the samples were placed in 24-wells microplate containing McBain saliva with 0.2% sucrose, which was replaced at 24 h. In the semi-dynamic model, the samples were submitted to artificial mouth system with continuous flow of McBain saliva with 0.2% sucrose (0.15 ml/min, 37°C) for 10 h a day (for the other 14 h, no flow was applied, similarly to the static model). After 5 days, biofilm viability was measured by fluorescence and dentin demineralization by transverse microradiography. RESULTS: Biofilm viability was significantly lower for the static compared with semi-dynamic model, while dentin demineralization was significantly higher for the first one (p<0.05). The static model was able to produce a higher number of typical subsurface lesions compared with the semi-dynamic model (p<0.05). CONCLUSIONS: The type of model (static and semi-dynamic) applied in the microcosm biofilm may have influence on it's viability and the severity/profile of dentin carious lesions. Faculdade De Odontologia De Bauru - USP 2019-01-07 /pmc/articles/PMC6322641/ /pubmed/30624468 http://dx.doi.org/10.1590/1678-7757-2018-0163 Text en https://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Article dos Santos, Daiana Moreli Soares Pires, Juliana Gonçalves Braga, Aline Silva Salomão, Priscila Maria Aranda Magalhães, Ana Carolina Comparison between static and semi-dynamic models for microcosm biofilm formation on dentin |
title | Comparison between static and semi-dynamic models for microcosm biofilm formation on dentin |
title_full | Comparison between static and semi-dynamic models for microcosm biofilm formation on dentin |
title_fullStr | Comparison between static and semi-dynamic models for microcosm biofilm formation on dentin |
title_full_unstemmed | Comparison between static and semi-dynamic models for microcosm biofilm formation on dentin |
title_short | Comparison between static and semi-dynamic models for microcosm biofilm formation on dentin |
title_sort | comparison between static and semi-dynamic models for microcosm biofilm formation on dentin |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6322641/ https://www.ncbi.nlm.nih.gov/pubmed/30624468 http://dx.doi.org/10.1590/1678-7757-2018-0163 |
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