| Literature DB >> 28419033 |
John M Thompson1, Vikram Saini, Alyssa G Ashbaugh, Robert J Miller, Alvaro A Ordonez, Roger V Ortines, Yu Wang, Robert S Sterling, Sanjay K Jain, Lloyd S Miller.
Abstract
BACKGROUND: The medical treatment of periprosthetic joint infection (PJI) involves prolonged systemic antibiotic courses, often with suboptimal clinical outcomes including increased morbidity and health-care costs. Oral and intravenous monotherapies and combination antibiotic regimens were evaluated in a mouse model of methicillin-resistant Staphylococcus aureus (MRSA) PJI.Entities:
Mesh:
Substances:
Year: 2017 PMID: 28419033 PMCID: PMC6181281 DOI: 10.2106/JBJS.16.01002
Source DB: PubMed Journal: J Bone Joint Surg Am ISSN: 0021-9355 Impact factor: 5.284
Fig. 1Effect of antibiotic therapy on in vivo bioluminescent imaging signals and body weight in a mouse model of PJI in which different antibiotic regimens or sham treatment were initiated (day 0) 2 weeks after surgery and MRSA inoculation, and were continued for 6 weeks (n = 10/group). Fig. 1-A Representative in vivo bioluminescent images. Fig. 1-B Mean maximum flux (photons/s/cm2/sr) (and SEM). LOD = level of detection (2.5 × 103 photons/s/cm2/sr). Figs. 1-C and 1-D Mean weekly body weights and mean percent change in body weight at 42 days (and SEM). *p < 0.05, †p < 0.01, and ‡p < 0.001 for the difference between the antibiotic and sham treatment as shown by 2-way ANOVA (Figs. 1-B and 1-C) or the Mann-Whitney 1-tailed test (Fig. 1-D).
Fig. 2Effect of antibiotic therapy on ex vivo CFU counts. Figs. 2-A and 2-B After 6 weeks of antibiotic or sham treatment, peri-implant joint and bone tissue were homogenized, implants were sonicated, and CFUs were isolated and enumerated ex vivo (n = 10/group). Data are presented as the mean number of CFUs (and SEM) isolated from the peri-implant bone and joint tissue (Fig. 2-A) and implants (Fig. 2-B). LOD = level of detection and n.d. = not detected. Figs. 2-C and 2-D To evaluate whether the antibiotic therapy eradicated infection, tissue homogenates and implants were cultured for an additional 48 hours in broth followed by overnight plate culture and the presence or absence of CFUs was determined. Data are presented as the percentage of tissue samples (Fig. 2-C) or implants (Fig. 2-D) with CFUs present out of the total number of samples assayed. *p < 0.05, †p < 0.01, and ‡p < 0.001 for the difference between the antibiotic and sham treatment as shown by the Mann-Whitney 1-tailed test (Figs. 2-A and 2-B) or the Fisher exact 1-tailed test (Figs. 2-C and 2-D).
Fig. 3Effect of antibiotic therapy on bone changes and implant subsidence seen on radiographs made after 6 weeks of antibiotic or sham treatment (n = 5 to 10/group). Fig. 3-A Representative anteroposterior radiographs with brackets denoting maximal femoral width. Fig. 3-B Mean maximum width of the distal 25% of the femur in millimeters (and SEM). Fig. 3-C Mean area of the distal 25% of the femur in square millimeters (and SEM). Fig. 3-D Percentage of femora with proximal displacement of the implant (subsidence) out of the total number of femora in each group (and SEM). *p < 0.05, †p < 0.01, and ‡p < 0.001 for the difference between the antibiotic and sham treatment or uninfected control mice as shown by the Mann-Whitney 1-tailed test (Figs. 3-B and 3-C) or the Fisher exact 1-tailed test (Fig. 3-D).
Fig. 4Effect of antibiotic therapy on bone density seen on μCT imaging performed after 6 weeks of antibiotic or sham therapy (n = 4 to 8/group). Fig. 4-A Representative 3D reconstructed μCT images (opaque [top] and translucent [bottom] femora with implants in red). Fig. 4-B Mean bone density (and SEM) of the distal 25% of the femur as measured in HU. *p < 0.05, †p < 0.01, and ‡p < 0.001 for the difference between the antibiotic and sham treatment or uninfected control mice as shown by the Mann-Whitney 1-tailed test.
Antibiotic Treatment Groups and Dosages with Comparison with Human Treatment
| Mouse (N = 10/Group) | Human | ||||
| Antibiotic | Regimen | AUC | Regimen | AUC | Source |
| Ceftaroline[ | 100 mg/kg q12h s.c. | 58.0 | 600 mg q12h i.v. | 56.3 | Forest Pharmaceuticals |
| Daptomycin[ | 50 mg/kg q24h s.c. | 595.4 | 6 mg/kg q24h i.v. | 598 | Cubist Pharmaceuticals |
| Doxycycline[ | 100 mg/kg q12h p.o. | 12.4 | 600 mg q12h p.o. | 13.0 | West-Ward Pharmaceutical |
| Linezolid[ | 80 mg/kg q12 p.o. | 160 | 600 mg q12h p.o. or i.v. | 228 | Pfizer |
| Vancomycin[ | 110 mg/kg q12h s.c. | 225 | 1000 mg q12h i.v. | 227 | Fresenius Kabi |
| Rifampin[ | 10 mg/kg q12h p.o. | 125.1 | 450 mg q12h p.o. | 48.5 | Lannett |
| Sham treatment (saline solution) | 200 μL p.o. or s.c. | ||||
AUC = area under the curve.
Protein-bound and unbound. For rifampin, mice have 3-fold lower protein-unbound (free-drug) (3.3%) in blood compared with humans (10.3%)[49,50].
Testing for Development of Antibiotic Resistance*
| Minimum Inhibitory Concentration | ||||
| No. of Samples with CFUs After 48-Hr Broth Culture (Tissue/Implant) | CFUs from Tissue/Implant | Original SAP231 | Resistance Breakpoint | |
| Ceftaroline | 18 (10/8) | 0.5-1 | 1 | >1 |
| Daptomycin | 16 (10/6) | 0.5 | 0.5 | >1 |
| Doxycycline | 16 (10/6) | 30 | 30 | >30 |
| Linezolid | 12 (10/2) | 1-2 | 2 | >4 |
| Ceftaroline-rifampin | 1 (1/0) | 0.5 (ceftaroline), 0.5 (rifampin) | 1 (ceftaroline), 0.5 (rifampin) | >1, >0.5 |
After the 6-week antibiotic treatment, tissue homogenates and sonicated implant solutions with positive bacterial growth underwent minimum inhibitory concentration testing according to guidelines for clinical microbiology specimens.
Resistance breakpoints were obtained from the European Committee on Antimicrobial Susceptibility Testing, version 6.0, 2016 (http://www.eucast.org/).
The ceftaroline-rifampin group was the only antibiotic-rifampin-combination group that had bacterial growth for resistance testing.