Biofilm formation by the oral pioneer colonizer Streptococcus gordonii: An experimental and numerical study

Research output: Contribution to journalArticleResearchpeer review

Authors

  • Henryke Rath
  • Dianlei Feng
  • Insa Neuweiler
  • Nico S. Stumpp
  • Udo Nackenhorst
  • Meike Stiesch

External Research Organisations

  • Hannover Medical School (MHH)
View graph of relations

Details

Original languageEnglish
JournalFEMS microbiology ecology
Volume93
Issue number3
Publication statusPublished - 2 Feb 2017

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.

Keywords

    Bacterial biofilm, Flow chamber system, Implant-associated infection, Model validation, Numerical simulation, Streptococcus gordonii

ASJC Scopus subject areas

Cite this

Biofilm formation by the oral pioneer colonizer Streptococcus gordonii: An experimental and numerical study. / Rath, Henryke; Feng, Dianlei; Neuweiler, Insa et al.
In: FEMS microbiology ecology, Vol. 93, No. 3, 02.02.2017.

Research output: Contribution to journalArticleResearchpeer review

Rath H, Feng D, Neuweiler I, Stumpp NS, Nackenhorst U, Stiesch M. Biofilm formation by the oral pioneer colonizer Streptococcus gordonii: An experimental and numerical study. FEMS microbiology ecology. 2017 Feb 2;93(3). doi: 10.1093/femsec/fix010
Download
@article{f4714a232d354a7b994af4721f65805a,
title = "Biofilm formation by the oral pioneer colonizer Streptococcus gordonii: An experimental and numerical study",
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.",
keywords = "Bacterial biofilm, Flow chamber system, Implant-associated infection, Model validation, Numerical simulation, Streptococcus gordonii",
author = "Henryke Rath and Dianlei Feng and Insa Neuweiler and Stumpp, {Nico S.} and Udo Nackenhorst and Meike Stiesch",
year = "2017",
month = feb,
day = "2",
doi = "10.1093/femsec/fix010",
language = "English",
volume = "93",
journal = "FEMS microbiology ecology",
issn = "0168-6496",
publisher = "Oxford University Press",
number = "3",

}

Download

TY - JOUR

T1 - Biofilm formation by the oral pioneer colonizer Streptococcus gordonii

T2 - An experimental and numerical study

AU - Rath, Henryke

AU - Feng, Dianlei

AU - Neuweiler, Insa

AU - Stumpp, Nico S.

AU - Nackenhorst, Udo

AU - Stiesch, Meike

PY - 2017/2/2

Y1 - 2017/2/2

N2 - 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.

AB - 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.

KW - Bacterial biofilm

KW - Flow chamber system

KW - Implant-associated infection

KW - Model validation

KW - Numerical simulation

KW - Streptococcus gordonii

UR - http://www.scopus.com/inward/record.url?scp=85029735426&partnerID=8YFLogxK

U2 - 10.1093/femsec/fix010

DO - 10.1093/femsec/fix010

M3 - Article

C2 - 28158402

AN - SCOPUS:85029735426

VL - 93

JO - FEMS microbiology ecology

JF - FEMS microbiology ecology

SN - 0168-6496

IS - 3

ER -

By the same author(s)