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Mapping Bacterial Biofilm on Features of Orthopedic Implants In Vitro.
Moore, Kelly; Gupta, Niraj; Gupta, Tripti Thapa; Patel, Khushi; Brooks, Jacob R; Sullivan, Anne; Litsky, Alan S; Stoodley, Paul.
Afiliação
  • Moore K; Department of Microbial Infection and Immunity, The Ohio State University, Columbus, OH 43210, USA.
  • Gupta N; Department of Microbial Infection and Immunity, The Ohio State University, Columbus, OH 43210, USA.
  • Gupta TT; Department of Microbial Infection and Immunity, The Ohio State University, Columbus, OH 43210, USA.
  • Patel K; College of Public Health, The Ohio State University, Columbus, OH 43210, USA.
  • Brooks JR; Department of Microbial Infection and Immunity, The Ohio State University, Columbus, OH 43210, USA.
  • Sullivan A; Department of Orthopedics, The Ohio State University, Columbus, OH 43203, USA.
  • Litsky AS; Department of Orthopedics, The Ohio State University, Columbus, OH 43203, USA.
  • Stoodley P; Department of Biomedical Engineering, Ohio State University, Columbus, OH 43210, USA.
Microorganisms ; 10(3)2022 Mar 08.
Article em En | MEDLINE | ID: mdl-35336161
ABSTRACT
Implant-associated infection is a major complication of orthopedic surgery. One of the most common organisms identified in periprosthetic joint infections is Staphylococcus aureus, a biofilm-forming pathogen. Orthopedic implants are composed of a variety of materials, such as titanium, polyethylene and stainless steel, which are at risk for colonization by bacterial biofilms. Little is known about how larger surface features of orthopedic hardware (such as ridges, holes, edges, etc.) influence biofilm formation and attachment. To study how biofilms might form on actual components, we submerged multiple orthopedic implants of various shapes, sizes, roughness and material type in brain heart infusion broth inoculated with Staphylococcus aureus SAP231, a bioluminescent USA300 strain. Implants were incubated for 72 h with daily media exchanges. After incubation, implants were imaged using an in vitro imaging system (IVIS) and the metabolic signal produced by biofilms was quantified by image analysis. Scanning electron microscopy was then used to image different areas of the implants to complement the IVIS imaging. Rough surfaces had the greatest luminescence compared to edges or smooth surfaces on a single implant and across all implants when the images were merged. The luminescence of edges was also significantly greater than smooth surfaces. These data suggest implant roughness, as well as large-scale surface features, may be at greater risk of biofilm colonization.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Microorganisms Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Microorganisms Ano de publicação: 2022 Tipo de documento: Article