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A Mouse Model of Post-Arthroplasty Staphylococcus aureus Joint Infection to Evaluate In Vivo the Efficacy of Antimicrobial Implant Coatings

BACKGROUND: Post-arthroplasty infections represent a devastating complication of total joint replacement surgery, resulting in multiple reoperations, prolonged antibiotic use, extended disability and worse clinical outcomes. As the number of arthroplasties in the U.S. will exceed 3.8 million surgeri...

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Autores principales: Bernthal, Nicholas M., Stavrakis, Alexandra I., Billi, Fabrizio, Cho, John S., Kremen, Thomas J., Simon, Scott I., Cheung, Ambrose L., Finerman, Gerald A., Lieberman, Jay R., Adams, John S., Miller, Lloyd S.
Formato: Texto
Lenguaje:English
Publicado: Public Library of Science 2010
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2935351/
https://www.ncbi.nlm.nih.gov/pubmed/20830204
http://dx.doi.org/10.1371/journal.pone.0012580
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author Bernthal, Nicholas M.
Stavrakis, Alexandra I.
Billi, Fabrizio
Cho, John S.
Kremen, Thomas J.
Simon, Scott I.
Cheung, Ambrose L.
Finerman, Gerald A.
Lieberman, Jay R.
Adams, John S.
Miller, Lloyd S.
author_facet Bernthal, Nicholas M.
Stavrakis, Alexandra I.
Billi, Fabrizio
Cho, John S.
Kremen, Thomas J.
Simon, Scott I.
Cheung, Ambrose L.
Finerman, Gerald A.
Lieberman, Jay R.
Adams, John S.
Miller, Lloyd S.
author_sort Bernthal, Nicholas M.
collection PubMed
description BACKGROUND: Post-arthroplasty infections represent a devastating complication of total joint replacement surgery, resulting in multiple reoperations, prolonged antibiotic use, extended disability and worse clinical outcomes. As the number of arthroplasties in the U.S. will exceed 3.8 million surgeries per year by 2030, the number of post-arthroplasty infections is projected to increase to over 266,000 infections annually. The treatment of these infections will exhaust healthcare resources and dramatically increase medical costs. METHODOLOGY/PRINCIPAL FINDINGS: To evaluate novel preventative therapeutic strategies against post-arthroplasty infections, a mouse model was developed in which a bioluminescent Staphylococcus aureus strain was inoculated into a knee joint containing an orthopaedic implant and advanced in vivo imaging was used to measure the bacterial burden in real-time. Mice inoculated with 5×10(3) and 5×10(4) CFUs developed increased bacterial counts with marked swelling of the affected leg, consistent with an acute joint infection. In contrast, mice inoculated with 5×10(2) CFUs developed a low-grade infection, resembling a more chronic infection. Ex vivo bacterial counts highly correlated with in vivo bioluminescence signals and EGFP-neutrophil fluorescence of LysEGFP mice was used to measure the infection-induced inflammation. Furthermore, biofilm formation on the implants was visualized at 7 and 14 postoperative days by variable-pressure scanning electron microscopy (VP-SEM). Using this model, a minocycline/rifampin-impregnated bioresorbable polymer implant coating was effective in reducing the infection, decreasing inflammation and preventing biofilm formation. CONCLUSIONS/SIGNIFICANCE: Taken together, this mouse model may represent an alternative pre-clinical screening tool to evaluate novel in vivo therapeutic strategies before studies in larger animals and in human subjects. Furthermore, the antibiotic-polymer implant coating evaluated in this study was clinically effective, suggesting the potential for this strategy as a therapeutic intervention to combat post-arthroplasty infections.
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spelling pubmed-29353512010-09-09 A Mouse Model of Post-Arthroplasty Staphylococcus aureus Joint Infection to Evaluate In Vivo the Efficacy of Antimicrobial Implant Coatings Bernthal, Nicholas M. Stavrakis, Alexandra I. Billi, Fabrizio Cho, John S. Kremen, Thomas J. Simon, Scott I. Cheung, Ambrose L. Finerman, Gerald A. Lieberman, Jay R. Adams, John S. Miller, Lloyd S. PLoS One Research Article BACKGROUND: Post-arthroplasty infections represent a devastating complication of total joint replacement surgery, resulting in multiple reoperations, prolonged antibiotic use, extended disability and worse clinical outcomes. As the number of arthroplasties in the U.S. will exceed 3.8 million surgeries per year by 2030, the number of post-arthroplasty infections is projected to increase to over 266,000 infections annually. The treatment of these infections will exhaust healthcare resources and dramatically increase medical costs. METHODOLOGY/PRINCIPAL FINDINGS: To evaluate novel preventative therapeutic strategies against post-arthroplasty infections, a mouse model was developed in which a bioluminescent Staphylococcus aureus strain was inoculated into a knee joint containing an orthopaedic implant and advanced in vivo imaging was used to measure the bacterial burden in real-time. Mice inoculated with 5×10(3) and 5×10(4) CFUs developed increased bacterial counts with marked swelling of the affected leg, consistent with an acute joint infection. In contrast, mice inoculated with 5×10(2) CFUs developed a low-grade infection, resembling a more chronic infection. Ex vivo bacterial counts highly correlated with in vivo bioluminescence signals and EGFP-neutrophil fluorescence of LysEGFP mice was used to measure the infection-induced inflammation. Furthermore, biofilm formation on the implants was visualized at 7 and 14 postoperative days by variable-pressure scanning electron microscopy (VP-SEM). Using this model, a minocycline/rifampin-impregnated bioresorbable polymer implant coating was effective in reducing the infection, decreasing inflammation and preventing biofilm formation. CONCLUSIONS/SIGNIFICANCE: Taken together, this mouse model may represent an alternative pre-clinical screening tool to evaluate novel in vivo therapeutic strategies before studies in larger animals and in human subjects. Furthermore, the antibiotic-polymer implant coating evaluated in this study was clinically effective, suggesting the potential for this strategy as a therapeutic intervention to combat post-arthroplasty infections. Public Library of Science 2010-09-07 /pmc/articles/PMC2935351/ /pubmed/20830204 http://dx.doi.org/10.1371/journal.pone.0012580 Text en Bernthal et al. http://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 author and source are properly credited.
spellingShingle Research Article
Bernthal, Nicholas M.
Stavrakis, Alexandra I.
Billi, Fabrizio
Cho, John S.
Kremen, Thomas J.
Simon, Scott I.
Cheung, Ambrose L.
Finerman, Gerald A.
Lieberman, Jay R.
Adams, John S.
Miller, Lloyd S.
A Mouse Model of Post-Arthroplasty Staphylococcus aureus Joint Infection to Evaluate In Vivo the Efficacy of Antimicrobial Implant Coatings
title A Mouse Model of Post-Arthroplasty Staphylococcus aureus Joint Infection to Evaluate In Vivo the Efficacy of Antimicrobial Implant Coatings
title_full A Mouse Model of Post-Arthroplasty Staphylococcus aureus Joint Infection to Evaluate In Vivo the Efficacy of Antimicrobial Implant Coatings
title_fullStr A Mouse Model of Post-Arthroplasty Staphylococcus aureus Joint Infection to Evaluate In Vivo the Efficacy of Antimicrobial Implant Coatings
title_full_unstemmed A Mouse Model of Post-Arthroplasty Staphylococcus aureus Joint Infection to Evaluate In Vivo the Efficacy of Antimicrobial Implant Coatings
title_short A Mouse Model of Post-Arthroplasty Staphylococcus aureus Joint Infection to Evaluate In Vivo the Efficacy of Antimicrobial Implant Coatings
title_sort mouse model of post-arthroplasty staphylococcus aureus joint infection to evaluate in vivo the efficacy of antimicrobial implant coatings
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2935351/
https://www.ncbi.nlm.nih.gov/pubmed/20830204
http://dx.doi.org/10.1371/journal.pone.0012580
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