Literature DB >> 33283316

Tissue-level cytokines in a rodent model of chronic implant-associated infection.

Nicole Prince1,2, Julia A Penatzer1,2, Taylor L Shackleford2, Elizabeth K Stewart2, Matthew J Dietz2, Jonathan W Boyd2,3,4.   

Abstract

Systemic cytokine concentrations have been extensively studied in implant-associated infections, providing sensitive diagnostic markers. However, less is known about the relationships of tissue-level cytokines surrounding the joint. The aim of this study was to define the cytokine profiles of tissues to investigate the use of these cytokines as markers of debridement in chronic joint infection. Using a rodent model, muscle samples were obtained from rats following Kirschner wire implantation and infection with Staphylococcus aureus to determine if: (1) differences exist in cytokine concentrations with proximity to infection, and (2) localized infection-specific markers can be identified on a tissue level to potentially serve as debridement markers in the future. Samples were collected from 4 distinct locations, and the concentrations of interleukin(IL)-1α, IL-1β, IL-4, IL-5, IL-6, IL-10, IL-12p70, IL-13, granulocyte-macrophage colony-stimulating factor, interferon-γ, and tumor necrosis factor-α were quantified in each sample, relative to the amount of tissue. Cytokine concentrations differed with proximity to the joint when implant or infection was present, and tissues at the operative knee joint showed the highest levels of most cytokines. Additionally, IL-1β, IL-4, and IL-6 showed promise, beyond diagnostics, as tissue-level indicators of infection response. Ultimately, this study illustrated that tissue-level evaluation provided insight into infection-specific response, and these markers may be useful for guiding the debridement of implant-associated infections.
© 2020 Orthopaedic Research Society. Published by Wiley Periodicals LLC.

Entities:  

Keywords:  arthroplasty; chronic joint infection; inflammation; interleukin; spatial distribution

Mesh:

Substances:

Year:  2020        PMID: 33283316      PMCID: PMC8180530          DOI: 10.1002/jor.24940

Source DB:  PubMed          Journal:  J Orthop Res        ISSN: 0736-0266            Impact factor:   3.102


  61 in total

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3.  Analysis of synovial biomarkers with a multiplex protein microarray in patients with PJI undergoing revision arthroplasty of the hip or knee joint.

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4.  Circulating interleukin-1 and tumor necrosis factor in septic shock and experimental endotoxin fever.

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Journal:  J Infect Dis       Date:  1990-01       Impact factor: 5.226

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6.  Synovial Cytokines and the MSIS Criteria Are Not Useful for Determining Infection Resolution After Periprosthetic Joint Infection Explantation.

Authors:  Salvatore J Frangiamore; Marcelo B P Siqueira; Anas Saleh; Thomas Daly; Carlos A Higuera; Wael K Barsoum
Journal:  Clin Orthop Relat Res       Date:  2016-07       Impact factor: 4.176

Review 7.  Cytokines in sepsis: potent immunoregulators and potential therapeutic targets--an updated view.

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Journal:  Mediators Inflamm       Date:  2013-06-18       Impact factor: 4.711

Review 8.  Chronic Implant-Related Bone Infections-Can Immune Modulation be a Therapeutic Strategy?

Authors:  Elisabeth Seebach; Katharina F Kubatzky
Journal:  Front Immunol       Date:  2019-07-23       Impact factor: 7.561

Review 9.  Twenty common errors in the diagnosis and treatment of periprosthetic joint infection.

Authors:  Cheng Li; Nora Renz; Andrej Trampuz; Cristina Ojeda-Thies
Journal:  Int Orthop       Date:  2019-10-22       Impact factor: 3.075

10.  Comparison of different human tissue processing methods for maximization of bacterial recovery.

Authors:  Mohamed Askar; Waheed Ashraf; Brigitte Scammell; Roger Bayston
Journal:  Eur J Clin Microbiol Infect Dis       Date:  2018-10-24       Impact factor: 3.267

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  1 in total

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Authors:  Nicholas G Fischer; Alexandra C Kobe; Jinhong Dai; Jiahe He; Hongning Wang; John A Pizarek; David A De Jong; Zhou Ye; Shengbin Huang; Conrado Aparicio
Journal:  Acta Biomater       Date:  2021-12-29       Impact factor: 8.947

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