The protocol describes a novel in vivo mouse model of spinal implant infection where a stainless-steel k-wire implant is infected with bioluminescent Staphylococcus aureus Xen36. Bacterial burden is monitored longitudinally with bioluminescent imaging and confirmed with colony forming unit counts after euthanasia.
Spine implant infections portend poor outcomes as diagnosis is challenging and surgical eradication is at odds with mechanical spinal stability. The purpose of this method is to describe a novel mouse model of spinal implant infection (SII) that was created to provide an inexpensive, rapid, and accurate in vivo tool to test potential therapeutics and treatment strategies for spinal implant infections.
In this method, we present a model of posterior-approach spinal surgery in which a stainless-steel k-wire is transfixed into the L4 spinous process of 12-week old C57BL/6J wild-type mice and inoculated with 1 x 103 CFU of a bioluminescent strain of Staphylococcus aureus Xen36 bacteria. Mice are then longitudinally imaged for bioluminescence in vivo on post-operative days 0, 1, 3, 5, 7, 10, 14, 18, 21, 25, 28, and 35. Bioluminescence imaging (BLI) signals from a standardized field of view are quantified to measure in vivo bacterial burden.
To quantify bacteria adhering to implants and peri-implant tissue, mice are euthanized and the implant and surrounding soft tissue are harvested. Bacteria are detached from the implant by sonication, cultured overnight and then colony forming units (CFUs) are counted. The results acquired from this method include longitudinal bacterial counts as measured by in vivo S. aureus bioluminescence (mean maximum flux) and CFU counts following euthanasia.
While prior animal models of instrumented spine infection have involved invasive, ex vivo tissue analysis, the mouse model of SII presented in this paper leverages noninvasive, real time in vivo optical imaging of bioluminescent bacteria to replace static tissue study. Applications of the model are broad and may include utilizing alternative bioluminescent bacterial strains, incorporating other types of genetically engineered mice to contemporaneously study host immune response, and evaluating current or investigating new diagnostic and therapeutic modalities such as antibiotics or implant coatings.
The purpose of this method is to describe a novel mouse model of spinal implant infection (SII). This model was designed to provide an inexpensive and accurate tool to flexibly assess the effect of host, pathogen, and/or implant variables in vivo. Testing potential therapeutics and treatment strategies for spinal implant infections in this model is aimed at guiding research development prior to application in larger animal models and clinical trials.
Implant related infection after spine surgery is a devastating complication and unfortunately occurs in approximately 3–8% of patients undergoing elective spine surgery1,2,3,4,5 and up to 65% of patients undergoing multilevel or revision surgery6. Treatment of spinal implant infections often requires multiple hospitalizations, multiple surgeries, and prolonged antibiotic therapy. SIIs portend poor patient outcomes including neurological compromise, disability, and an increased risk of mortality. Management of SII is extremely expensive, costing upwards of $900,000 per patient7.
Staphylococcus aureus is the most common virulent pathogen of SII8,9,10,11. Bacteria can seed the hardware directly during surgery, through the wound during the postoperative period, or later via hematogenous spread. In the presence of metal implants, S. aureus form biofilm that protects the bacteria from antibiotic therapy and immune cells. While removal of infected hardware may help effectively eradicate an infection, this is frequently not feasible in the spine without causing destabilization and risking neurologic compromise12.
In the absence of explanting infected hardware, novel approaches are needed to prevent, detect, and treat SII. Historically, there have been limited animal models of SII to efficiently assess the safety and efficacy of novel therapies. Previous animal models of SII require large numbers of animals and collection of data points requiring euthanasia including colony counting, histology, and culture13,14,15. Lacking longitudinal in vivo monitoring, these models only provide one data point per animal and are therefore expensive and inefficient.
Previous work studying a mouse model of knee arthroplasty infection established the value and accuracy of noninvasive in vivo optical imaging to longitudinally monitor infection burden16. The detection of bioluminescence allows bacterial burden to be quantified over a longitudinal time course in a single animal humanely, accurately, and efficiently. Moreover, prior studies have demonstrated a high correlation between in vivo bioluminescence and CFUs adherent to implants17. The capacity to track infection over time, has led to a more nuanced understanding of implant related infection. In addition, monitoring longitudinal infection in this way, has allowed the effectiveness of antibiotic therapy and novel antimicrobials to be accurately assessed16,17,18.
Leveraging these tools, we developed and validated a model of postoperative spinal implant infection. In the method presented, we utilize an inoculum of bioluminescent S. aureus Xen36 to establish an in vivo mouse model of SII to longitudinally monitor bacterial burden16,17,18. This novel model provides a valuable tool to efficiently test potential detection, prevention, and treatment strategies for SII prior to their application in larger animal models and clinical trials.
All animals were handled in strict accordance with good animal practice as defined in the federal regulations as set forth in the Animal Welfare Act (AWA), the 1996 Guide for the Care and Use of Laboratory Animals, PHS Policy for the Humane Care and Use of Laboratory Animals, as well as the institution’s policies and procedures as set forth in the Animal Care and Use Training Manual, and all animal work was approved by the University of California Los Angeles Chancellor’s Animal Research Committee (ARC).
1. S. aureus bioluminescent strain choice
2. Preparation of S. aureus for inoculation
3. Mice
4. Mouse surgical procedures
5. Longitudinal In vivo bioluminescence imaging to measure bacterial burden
6. Quantify bacteria adherent to implants and surrounding tissue
The procedure presented here was used to assess the efficacy of antibiotic regimens in an in vivo mouse model of SII. Specifically, the efficacy of combination vancomycin and rifampin antibiotic therapy was compared to vancomycin monotherapy and untreated infected controls.
Prior to surgery, mice were randomized to either combination therapy, monotherapy, or infected control. A statistical power analysis was performed to calculate sample size. Anticipated means of mean maximum flux 1 x 105 ± 3.2 x 104 and 1.4 x 105 were used to determine sample size, which were calculated as N=10 in each group. Mice underwent surgical implantation, inoculation with S. aureus Xen36, and were measured for in vivo S. aureus bioluminescence on POD 0, 1, 3, 5, 7, 10, 14, 18, 21, 25, 28, and 35. On POD 35, mice were sacrificed and CFUs for implant-adherent and surrounding tissue bacteria were quantified.
Mice in the monotherapy group received a therapeutic dose of vancomycin (110 mg/kg twice daily) delivered subcutaneously. This dose was selected to approximate the area under the curve for typical human exposure for vancomycin21,22,23. Mice in the combination therapy group received a therapeutic subcutaneous dose of vancomycin (110 mg/kg twice daily) and rifampin (25 mg/kg daily)24. Mice in the infected control group received sham injections of sterile saline. Treatment for all groups was performed from postoperative days 7 to 14.
Effect of antibiotic therapy on BLI
Infected control mice had BLI signals peaking on POD 10 that remained above 1.0 x 105 photons/s/cm2/sr until sacrifice, successfully modeling a chronic SII (Figure 2). Mice treated with vancomycin monotherapy had significantly lower BLI signal compared to infected control, with a 2-fold reduction from POD 10–21 (p<0.03). After POD 21, there was no significant difference in BLI between monotherapy and infected control groups. Mice treated with vancomycin-rifampin combination therapy had an even lower BLI signal, which was 20-fold lower than infected control on POD 10. A significant reduction persisted until POD 28 (p<0.01). After POD 28, there was no significant difference in BLI between groups. There was no significant difference in BLI between any of the three groups at final imaging on POD35.
CFUs from implants and surrounding tissue
Mice were sacrificed on POD 35. Implants and surrounding tissue were harvested and processed for CFU counting (Figure 3). No significant difference was observed in CFUs between infected control, monotherapy, or combination therapy groups.
Figure 1: Wound breakdown in high dose S. aureus Xen36 inoculum. Images of the dorsal skin of mice inoculated with S. aureus Xen36 during a spine implant infection. (A) Mouse inoculated with 1 x 103 CFUs, and intact dorsal skin. (B) Mouse inoculated with 1 x 104 CFUs, and evidence of considerable wound breakdown. Figure adapted and reprinted with permission from Dworsky et al.25 Please click here to view a larger version of this figure.
Figure 2: Measurement of bacterial burden using in vivo bioluminescence. 1 x 103 CFU of S. aureus possessing the bioluminescent construct in a stable plasmid (Xen36) were inoculated into the L4 spinous process of mice (n = 10 mice per group) in the presence of a stainless-steel implant. (A) Bacterial counts as measured by in vivo S. aureus bioluminescence (mean maximum flux [photons/s/cm2/sr] ± sem [logarithmic scale]), with a flow diagram of the experimental protocol below. On POD 7, antibiotic administration began with vancomycin, a combination of vancomycin and rifampin or a sterile saline control. Antibiotic administration was stopped on POD 14. On POD 35, mice were sacrificed and CFUs from the implant and surrounding tissue were measured. (B) Representative in vivo S. aureus bioluminescence on a color scale overlaid on top of a grayscale image of mice. Figure adapted and reprinted with permission from Hu et al.25 Please click here to view a larger version of this figure.
Figure 3: Confirmation of bacterial burden using CFU counts. At POD 35, mice were sacrificed, pins were sonicated, tissue was homogenized, and bacteria were cultured and counted. Figure adapted and reprinted with permission from Hu et al.25. Please click here to view a larger version of this figure.
Implant related infections in the spine portend poor outcomes for patients1,2,3,4,5. Unlike many other areas in the body, infected hardware in the spine frequently cannot be removed due to the risk of instability and neurologic compromise. This unique challenge in the setting of biofilm bacteria resistant to systemic antibiotic therapy necessitate novel approaches to treatment12. Previous research in novel treatments for SII has been limited by expensive, inefficient animal models. To better study these infections and efficiently assess the efficacy of potential treatments, we developed a noninvasive longitudinal mouse model of SII using in vivo bioluminescence imaging.
Prior animal models of instrumented spine infection required ex vivo tissue analysis to evaluate results, requiring large cohorts and were unable to monitor infection over time13,14,26. In contrast, the mouse model of SII presented in this paper leverages BLI to reliably monitor bacterial burden over time16,17,18. This novel approach enables investigators to assess the response of bacteria and the host to antibiotics, coatings, or immune modulation.
Critical steps in the protocol include: appropriate preparation of Xen36 S. aureus and estimation of single inoculum 1 x 103 CFUs/2 μL; precise surgical implantation, inoculation, and closure; in vivo bioluminescent imaging; and confirmation of bacterial burden using CFU counts.
Modifications to the model may include alternative bioluminescent bacterial strains, longer term time points, or the use of integration of other types of genetically engineered mice, such as those expressing green fluorescent protein in myeloid cells (Lys-EGFP) to contemporaneously measure neutrophil infiltration with in vivo fluorescence imaging20. Additional methodologies may be utilized to complement those described in the protocol to address processes such as vertebral osteolysis, disc degeneration, soft tissue infection, and implant biofilm infection. Techniques that provide quantitative outcomes in these processes may include but are not limited to: micro-computed tomography, magnetic resonance imaging, real time quantitative PCR, serology, histology, immunohistochemistry, and/or variable pressure scanning electron microscopy.
This model has several limitations. First, the model of spine surgery is a gross simplification compared to clinical practice. In contrast to extensive decompression and multilevel fusion surgeries typical of high-risk spine surgery patients, the model surgery involves minimal bone resection with a single stainless-steel implant. As clinical spine implants have multiple different materials, these may have different susceptibilities to bacterial infection and biofilm formation. In addition, as with all animal models, the host response to infection of mice is different than that of humans.
In the future, this model could be used to assess treatment of SII with other antibiotic delivery modalities including vancomycin powder, antibiotic loaded beads, or coated implants. In addition, this model may be used to study the mechanistic basis of the host response to SII.
The authors have nothing to disclose.
The authors would like to acknowledge the receipt of both the Pediatric Orthopaedic Society of North America Biomet Spine Grant and the National Institutes of Health Clinical and Translational Science Institute KL2 Grant, and the HH Lee Surgical Research Grant as major funding sources for these experiments.
Analytical Balance ME104 | Mettler Toledo | 30029067 | 120 g capacity, 0.1 mg readability, backlit LCD, internal adjustment, metal base |
BD Bacto Tryptic Soy Broth | Becton Dickinson (BD) | BD 211825 | BD Bacto Tryptic Soy Broth (Soybean-Casein Digest Medium) |
Biomate 3S UV-VIS Spectrophotometer | Thermo Scientific | 840-208300 | Spectrophotometer; Thermo Scientific; BioMate 3S; Six-position cell holder; Spectral bandwidth: 1.8nm; Long-life xenon lamp; Store up to 40 test methods; 16L x 13W x 9 in. H; 19 lb.; 100/240V US line cord |
Bioshield 720+ swinging bucket rotor | Thermo Scientific | 75003183 | Rotor, Swinging bucket; Thermo Scientific; BIOShield 720 high speed; Capacity: 4 x 180mL (0.72L); Angle: 90 deg. ; Max. speed/RCF: 6300rpm/7188 x g; Max. radius: 16.2cm |
Branson Ultrasonics 2510R-MTH (Sonicator) | Branson Ultrasonics | CPX952217R | *similar model, our model is discontinued* Branson Ultrasonics MH Series Heated Ultrasonic Cleaning Bath, 120V, 0.75 gal |
Bullet Blender Storm Homogenizer | Next Advance | BBY24M | The Bullet Blender Storm is the most powerful member of the Bullet Blender family. Homogenize up to 24 of your toughest samples (mouse femur, skin, cartilage, tumor, etc.) in just minutes. Air cooling™ minimizes sample heat up. Uses 1.5ml screw-cap RINO® tubes or snap-cap Eppendorf® Safe-lock™ tubes. |
Germinator 500 | Electron Microscopy Sciences | 66118-10 | The Germinator 500 is designed to decontaminate metal micro-dissecting instruments only. It is to be used exclusively for research purposes. The Germinator 500 should not be used as a substitute for traditional methods of terminal sterilization. Effective sterilization cannot be assured due to lack of routine sterilization-efficacy monitoring methods for glass bead sterilization. The Germinator 500 has been designed and built to pass the Validation of Dry Sterilizer Spore Suspension Test: USP XXIII, Part 1211. |
Heracell 150i CO2 Incubator | Thermo Scientific | 51026282 | Single 150L |
IVIS Lumina X5 Imaging System | Perkin Elmer | CLS148590 | The IVIS Lumina X5 high-throughput 2D optical imaging system combines high-sensitivity bioluminescence and fluorescence with high-resolution x-ray into a compact system that fits on your benchtop. With an expanded 5 mouse field of view for 2D optical imaging plus our unique line of accessories to accelerate setup and labeling, it has never been easier or faster to get robust data—and answers—on anatomical and molecular aspects of disease. |
MAXQ 4450 Digtial Incubating Bench Shaker | Thermo Scientific | SHKE4450 | Shaker, Incubated; Thermo Scientific; Digital; MaxQ 4450; Speed 15 to 500rpm +/-1rpm; 5 deg. C above ambient to 80 deg. C; 120V 50/60Hz |
PBS, Phosphate Buffered Saline | Fisher Bioreagents | BP24384 | PBS, Phosphate Buffered Saline, 1X Solution, pH 7.4 |
Sorvall Legend Micro 21 Centrifuge, Ventilated | Thermo Scientific | 75002436 | 24 x 1.5/2.0mL rotor with ClickSeal biocontainment lid |
SORVALL LEGEND X1R 120V Centrifuge | Thermo Scientific | 75004261 | Centrifuge, Benchtop; Thermo Scientific; Sorvall Legend X1R (Refrigerated), 1L capacity; Max. Speed/RCF 15,200rpm/25,830 x g; CFC-free cooling -10C to +40C; 120V 60Hz |
Staphylococcus aureus – Xen36 | Perkin Elmer | 119243 | Staphylococcus aureus – Xen36 bioluminescent pathogenic bacteria for in vivo and in vitro drug discovery. This product was derived from a parental strain from the American Type Culture Collection, used under license. Staph. aureus-Xen36 possesses a stable copy of the Photorhabdus luminescens lux operon on the native plasmid. |
TUTTNAUER AUTOCLAVE 2540E 120V | Heidolph Tuttnauer | 23210401 | Sterilizer, Benchtop; Heidolph; Tuttnauer; Model 2540E; Self-contained design with refillable reservoir controls water purity for sterilization; 120V 50/60Hz; 1400w. With electronic controls |
Tween 80 | Fisher Bioreagents | BP338-500 | Tween 80, Fisher BioReagents, Non-ionic detergent for selective protein extraction |
Vortex mixer VX-200 | Labnet Internation | S0200 | 120V touch or continuous mixer, 230V: 0 – 2,850 rpm,120V: 0 – 3,400 rpm |
0.9% Sodium Chloride | Pfizer Injectables/Hospira | 00409-4888-10 | 0.9% Sodium Chloride Injection, USP |