| Literature DB >> 28158402 |
Henryke Rath1, Dianlei Feng2, Insa Neuweiler2, Nico S Stumpp1, Udo Nackenhorst3, Meike Stiesch1.
Abstract
For decades, extensive research efforts have been conducted to improve the functionality and stability of implants. Especially in dentistry, implant treatment has become a standard medical practice. The treatment restores full dental functionality, helping patients to maintain high quality of life. However, about 10% of the patients suffer from early and late device failure due to peri-implantitis, an inflammatory disease of the tissues surrounding the implant. Peri-implantitis is caused by progressive microbial colonization of the device surface and the formation of microbial communities, so-called biofilms. This infection can ultimately lead to implant failure. The causative agents for the inflammatory disease, periodontal pathogenic biofilms, have already been extensively studied, but are still not completely understood. As numerical simulations will have the potential to predict oral biofilm formation precisely in the future, for the first time, this study aimed to analyze Streptococcus gordonii biofilms by combining experimental studies and numerical simulation. The study demonstrated that numerical simulation was able to precisely model the influence of different nutrient concentration and spatial distribution of active and inactive biomass of the biofilm in comparison with the experimental data. This model may provide a less time-consuming method for the future investigation of any bacterial biofilm. © FEMS 2017. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.Entities:
Keywords: Streptococcus gordonii; bacterial biofilm; flow chamber system; implant-associated infection; model validation; numerical simulation
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Year: 2017 PMID: 28158402 DOI: 10.1093/femsec/fix010
Source DB: PubMed Journal: FEMS Microbiol Ecol ISSN: 0168-6496 Impact factor: 4.194