Non-Invasive Luciferase Imaging of Type I Interferon Induction in a Transgenic Mouse Model of Biomaterial Associated Bacterial Infections: Microbial Specificity and Inter-Bacterial Species Interactions.
Average rating
Cast your vote
You can rate an item by clicking the amount of stars they wish to award to this item.
When enough users have cast their vote on this item, the average rating will also be shown.
Star rating
Your vote was cast
Thank you for your feedback
Thank you for your feedback
Authors
Rahim, Muhammad ImranWinkel, Andreas
Lienenklaus, Stefan
Stumpp, Nico S
Szafrański, Szymon P
Kommerein, Nadine
Willbold, Elmar
Reifenrath, Janin
Mueller, Peter P
Eisenburger, Michael
Stiesch, Meike
Issue Date
2020-10-21
Metadata
Show full item recordAbstract
The performance of biomaterials is often compromised by bacterial infections and subsequent inflammation. So far, the conventional analysis of inflammatory processes in vivo involves time-consuming histology and biochemical assays. The present study employed a mouse model where interferon beta (IFN-β) is monitored as a marker for non-invasive rapid detection of inflammation in implant-related infections. The mouse model comprises subcutaneous implantation of morphologically modified titanium, followed by experimental infections with four taxonomically diverse oral bacteria: Streptococcus oralis, Aggregatibacter actinomycetemcomitans, Porphyromonas gingivalis and Treponema denticola (as mono culture or selected mixed-culture). IFN-β expression increased upon infections depending on the type of pathogen and was prolonged by the presence of the implant. IFN-β expression kinetics reduced with two mixed species infections when compared with the single species. Histological and confocal microscopy confirmed pathogen-specific infiltration of inflammatory cells at the implant-tissue interface. This was observed mainly in the vicinity of infected implants and was, in contrast to interferon expression, higher in infections with dual species. In summary, this non-invasive mouse model can be used to quantify longitudinally host inflammation in real time and suggests that the polymicrobial character of infection, highly relevant to clinical situations, has complex effects on host immunity.Citation
Microorganisms. 2020 Oct 21;8(10):1624. doi: 10.3390/microorganisms8101624. PMID: 33096869.Affiliation
HZI,Helmholtz-Zentrum für Infektionsforschung GmbH, Inhoffenstr. 7,38124 Braunschweig, Germany.Publisher
MDPIJournal
MicroorganismsPubMed ID
33096869Type
ArticleLanguage
enISSN
2076-2607ae974a485f413a2113503eed53cd6c53
10.3390/microorganisms8101624
Scopus Count
The following license files are associated with this item:
- Creative Commons
Except where otherwise noted, this item's license is described as Attribution-NonCommercial-ShareAlike 4.0 International
Related articles
- Bacterial-Specific Induction of Inflammatory Cytokines Significantly Decreases upon Dual Species Infections of Implant Materials with Periodontal Pathogens in a Mouse Model.
- Authors: Rahim MI, Winkel A, Ingendoh-Tsakmakidis A, Lienenklaus S, Falk CS, Eisenburger M, Stiesch M
- Issue date: 2022 Jan 26
- Degradable magnesium implant-associated infections by bacterial biofilms induce robust localized and systemic inflammatory reactions in a mouse model.
- Authors: Rahim MI, Babbar A, Lienenklaus S, Pils MC, Rohde M
- Issue date: 2017 Sep 13
- A three-year study on periodontal microorganisms of short locking-taper implants and adjacent teeth in patients with history of periodontitis.
- Authors: Yan X, Lu H, Zhang L, Zhu B, Piao M, Huang B, Zhang H, Meng H
- Issue date: 2020 Apr
- Porphyromonas gingivalis, Actinobacillus actinomycetemcomitans and Treponema denticola detection in oral plaque samples using the polymerase chain reaction.
- Authors: Watanabe K, Frommel TO
- Issue date: 1996 Mar
- Detection and quantification of Aggregatibacter actinomycetemcomitans, Porphyromonas gingivalis and Streptococcus oralis in blood samples with different microbiological identification methods: An in vitro study.
- Authors: Marin MJ, Ambrosio N, Virto L, Diz P, Álvarez M, Herrera D, Sanz M, Figuero E
- Issue date: 2017 Feb