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Antimicrobial Agents and Chemotherapy, January 2005, p. 380-387, Vol. 49, No. 1
0066-4804/05/$08.00+0 doi:10.1128/AAC.49.1.380-387.2005
Copyright © 2005, American Society for Microbiology. All Rights Reserved.
Department of Medicine, Division of Infectious Diseases, Harbor-UCLA Research and Education Institute, Torrance,1 Geffen School of Medicine, University of California Los Angeles, Los Angeles,2 Xenogen Corp., Alameda California3
Received 3 June 2004/ Returned for modification 1 August 2004/ Accepted 30 August 2004
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4 h). Gentamicin caused neither a reduction in cardiac S. aureus densities nor a reduction in BLS. There were significant correlations between cardiac BLS and S. aureus densities in vegetations in all treatment groups. These data suggest that bioluminescent imaging provides a substantial advance in the real-time monitoring of the efficacy of therapy of invasive S. aureus infections in live animals. |
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Recently, a novel bioluminescent in vivo imaging system (IVIS) was developed which offers a sensitive and noninvasive technique for rapid, real-time monitoring of therapeutic efficacy; this technique has been demonstrated to work particularly well for monitoring bacterial infections in vivo (7, 9-11, 13, 21). IVIS consists of a highly sensitive charge-coupled device digital camera with accompanying advanced computer software for image data acquisition and analysis. This system captures photons of light emitted by bacteria that have been engineered to produce bioluminescence. Over the past several years, real-time bioluminescent imaging has been utilized to assess the therapeutic efficacy of various antibiotics, principally in models of acute and chronic soft tissue infection (9, 10). However, this technique has not yet been applied to endovascular infections such as infective endocarditis (IE).
The aims of the present study were threefold: (i) to develop and adapt a small-animal (rat) model of S. aureus IE for use with bioluminescent imaging, (ii) to utilize this model to monitor the progression of infection in live animals, and (iii) to assess the real-time efficacy of several conventional antistaphylococcal agents in this model.
This work was presented in part at the 104th General Meeting of American Society for Microbiology, abstr. D-122, New Orleans, La. 23 to 27, May 2004.
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FIG. 1. S. aureus Xen29 genetic map. In strain Xen29, the transponson Tn4001 luxABCDE kan was inserted in the second open reading frame (SA2154) of a possible two-gene operon. The designations for the two open reading frames were SA2153 and SA2154. IR, inverted repeat.
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Susceptibility testing.
The MICs and MBCs of vancomcycin, cefazolin, and gentamicin were determined by a broth microdilution method at final inocula of either 105 or 107 CFU per ml in Mueller-Hinton broth (Difco, Detroit, Mich.) as specified in the guidelines of the National Committee for Clinical Laboratory Standards (17, 18). These inocula were chosen to encompass the range of bacterial densities generally found in experimental IE target lesions (25). The MIC and MBC were defined as the lowest concentration completely inhibiting growth and the lowest concentration killing
99.9% of the inoculum, respectively.
In vitro detection of BLS.
We evaluated the in vitro bioluminescence profile of S. aureus Xen29 in the presence and absence of polyethylene catheters (as used to induce rat IE [see below]). Briefly, the catheter was cut into
3-cm segments, and each piece was sterilized with 70% ethanol and air dried. S. aureus Xen29 was cultured overnight in tryptic soy broth (TSB; Difco, Detroit, Mich.) supplemented with 0.25% glucose (TSBG) to optimize growth. The culture was diluted in fresh TSBG to reach a final inoculum of 107 CFU/ml; this suspension was then used to inoculate sterile six-well microtiter plates, with or without a sterile catheter segment. After 5 and 24 h of incubation at 37°C, bioluminescent signals (BLS) were monitored for 1 min by using the IVIS imaging system (Xenogen Corp., Alameda, Calif.) (see below for quantification details). As controls, catheters were prepared as above and placed in wells with media but without the bacterial inoculum.
Rat IE model. Sprague-Dawley female rats (250 to 300 g each) were obtained from Harlan Inc. (Indianapolis, Ind.). All animals were housed in the animal facility on-site, and all experimental procedures adhered to a protocol approved by the Institutional Animal Care and Use Committee. A well-characterized experimental rat IE model was used in the present studies, as previously described (6, 15). In brief, the animals were maintained in an anesthetized state with an isofluorane-oxygen gas mixture (1:1 ratio) during surgery. An indwelling polyethylene catheter was positioned in the left ventricle of each animal via the retrograde transcarotid artery approach, with the tip passing across the aortic valve, to induced sterile vegetations. The catheter was left in place throughout the study. To determine an optimal inoculum for inducing IE, at 7 days postcatheterization the animals were infected intravenously through the tail vein with an inoculum of S. aureus Xen29 of 104, 105, or 106 CFU. Animals from all groups were shaved over the heart (ventral), as well as the kidney and spleen areas (dorsal), to optimize capture of BLS. The animals were monitored for BLS daily after infection in both the ventral and dorsal positions by using the IVIS (see below). Animals were included in the final analysis only if the catheters were correctly positioned across the aortic valve in the left ventricle at the time of sacrifice and macroscopic vegetations were visualized.
Antibiotic treatment. Infected animals were randomized to receive either (i) no therapy (untreated control), (ii) vancomycin (120 mg/kg, every 12 h [q12h], subcutaneous), (iii) cefazolin (50 mg/kg, every 8 h [q8h], intramuscular [i.m.]), or (iv) gentamicin (2.5 mg/kg, q8h, i.m.). For vancomycin therapy, potential relapse of infection was also investigated 3 days after treatment was discontinued. These antibiotic regimens were designed to achieve supra-MIC peak levels of susceptible strains in serum, based on prior data in the literature from similar models (16, 23, 24). Treatment was initiated at 3 days postinfection and administered for three consecutive days. The number of animals per group ranged from five to eight, which is based on an 80% power calculation to detect at least a twofold difference in mean tissue bacterial densities between any two groups.
Measurement of in vivo BLS. After induction of IE, animals from all groups were imaged daily using the IVIS imaging system. Total photon emissions from predefined regions of interest (ROI) of each animal were acquired daily for a maximum of 5 min (e.g., cardiac area [ventral position] and kidney and spleen areas [dorsal position]). Captured images were then quantified by using the Living Image software package (Xenogen Corp.). BLS from the ROI were expressed using a pseudocolor scale, with red representing the most intense luminescence and blue representing the least intense luminescence; the data are presented as the cumulative photon counts collected within each ROI. Uninfected animals were imaged to detect any background signals. After the final imaging time point, the animals were euthanized and target tissues (e.g., cardiac vegetations, kidneys, and spleen) were removed for both ex vivo bioluminescence imaging and quantitative cultures, as described below.
Microbiological evaluation. Untreated controls were sacrificed at 6 days after infection. Antibiotic-treated animals were sacrificed after 3-days of therapy, at least 18 h after the last antibiotic dose. As noted above, an additional group of vancomycin-treated animals was assessed for BLS for 3 days after the last vancomycin dose to identify relapsing infection. This group was then sacrificed on day 10 postinfection for target tissue quantitative culture. Animals were euthanized with 100 mg of thiopental given as a rapid bolus intraperitoneally. At sacrifice, all cardiac vegetations and kidney and spleen samples were harvested, weighed, homogenized in saline, serially diluted, and plated onto TSB agar plates for quantitative culture. Tissue homogenate cultures were grown for 24 h at 37°C, and bacterial densities were expressed as the log10 CFU per gram of tissue. As in previous investigations, the S. aureus density in target tissues (log10 CFU per gram of tissue) was utilized as the microbiologic end point.
Antibiotic levels in serum. Serum samples were obtained from vancomycin-treated (120 mg/kg, subcutaneous), cefazolin-treated (50 mg/kg, i.m.), or gentamicin-treated (2.5 mg/kg, i.m.) animals at 0.25, 0.5, 1, 2, 4, 6, 8, 10 and 12 h after the first dose. Antibiotic concentrations were determined by an agar diffusion well assay, by comparing zone sizes of known antibiotic concentrations with those of the rat serum samples. Vancomycin concentrations in serum were determined using Bacillus subtilis ATCC 6633, while cefazolin and gentamicin serum concentrations were determined using S. aureus RN6390. All assays were done in duplicate on samples from two or three animals. The limit of detection for these bioassays was 2 µg/ml for vancomycin and 1 µg/ml for cefazolin and gentamicin.
Statistical analysis.
To statistically compare S. aureus tissue densities among the various groups, we used the Kruskal-Wallis test with the Tukey post hoc correction for multiple comparisons as needed. Significance was determined at P < 0.05. We used regression analyses to analyze the relationships between S. aureus densities in target tissues and BLS among the different groups (r2
0.5 was considered to be significant).
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In vitro BLS assays. Bioluminescent images of S. aureus Xen29 grown in the presence and absence of polyethylene catheters, recorded after 5 and 24 h of incubation, are shown in Fig. 2. Figure 2A and E and Fig. 2C and G show the S. aureus strain grown in TSBG broth with and without the catheter, respectively; Fig. 2D and H represent the BLS from the catheter after being removed from broth at 5 and 24 h of incubation, respectively. As noted, the strain grew and luminesced better in the presence of the catheter (compare Fig. 2A and C and compare Fig. 2E and G), especially at the 24-h time point (Fig. 2D and H). In all instances, BLS were greater at 24 h than at 5 h. No BLS were observed from catheters grown in the absence of bacteria (control; Fig. 2B and F).
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FIG. 2. Monitoring the intensity of bioluminescence of S. aureus Xen29 on catheter segments after 5 and 24 h of incubation at 37°C. Images were acquired with the IVIS imaging system and are displayed as pseudocolor images, with variations in color representing light intensity. (A and E) S. aureus Xen29 grown in TSBG with the catheter after 5 and 24 h of incubation, respectively. (C and G) S. aureus strain grown in TSBG without the catheter after 5 and 24 h of incubation, respectively. (D and H) BLS from the catheter after removal of TSBG, at 5 and 24 h of incubation, respectively. The lack of light signal from the control catheter (B and F) indicates the specificity of the detection system.
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FIG. 3. Real-time monitoring of S. aureus Xen29 in an experimental-rat endocarditis model. Two representative animals infected intravenously with either normal saline (control) or 106, 105, or 104 CFU of the S. aureus strain are shown. The animals were imaged ventrally, with their chest area shaved, to avoid background signal from animal hair. The process of infection was monitored daily by detecting photon emission around the region of interest (heart area) over a 6-day course by using the IVIS. (A and B) Removed and opened heart from an animal infected with 105 CFU of S. aureus Xen29 after 6 days of infection. (A) The catheter is in a correct place, and numerous vegetations are visible around the aortic valves; (B) bioluminescence is emanating from the catheter and vegetations. The color bar indicates the signal intensity, with red and blue representing the high and low bioluminescent signals, respectively.
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FIG. 4. (A) Bioluminescence monitoring of animals infected with 106 ( ), 105 ( ), or 104 ( ) CFU of S. aureus Xen29 in the ROI in the rat endocarditis model. The total number of photons detected within the ROI was determined by using the IVIS and its computer software. Each datum point is the mean and standard error for seven to nine animals. indicates that 100% of animals infected with 106 CFU of S. aureus Xen29 died at 4 days post-infection. Error bars indicate standard deviation. (B) Percent survival of animals infected with 106 ( ), 105 ( ), or 104 ( ) CFU of S. aureus Xen29 in the rat endocarditis model.
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20% of animals challenged with an inoculum of either 105 or 106 CFU, BLS were detected ex vivo in kidneys and/or spleen (data not shown). Also, no BLS were detected in catheterized animals during the preinfection observation period. S. aureus densities in the target tissues (e.g., cardiac vegetations, kidneys, and spleen) were similar between animal groups challenged at 105 and 106 CFU (Table 1). In contrast, animals challenged with 104 CFU had significantly lower S. aureus densities in these target organs than did animals challenged at 105 or 106 CFU (Table 1). Moreover, we observed a significant positive relationship between the intensity of cardiac BLS and S. aureus densities in the vegetations in individual animals in the 105 CFU inoculum group (r2 = 0.75). Therefore, based on cardiac BLS, target tissue densities, and mortality rates, 105 CFU was chosen as an optimal challenge dose for inducing IE with this strain and for evaluating antimicrobial strategies.
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TABLE 1. S. aureus density in cardiac vegetations, kidneys, and spleen with different inocula in the rat endocarditis model
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FIG. 5. Real-time monitoring of the efficacy of vancomycin, cefazolin, and gentamicin in the experimental rat model of endocarditis due to S. aureus Xen29. Two representative animals from the untreated control and the antibiotic-treated groups are shown. Three days after infection with 105 CFU of S. aureus Xen29, the animals received either no antibiotics (untreated control), vancomycin (120 mg/kg every 12 h, subcutaneous), cefazolin (50 mg/kg every 8 h, i.m.), or gentamicin (2.5 mg/kg every 8 h, i.m.) for 3 days. Vancomycin relapse was studied 3 days after discontinuation of the treatment. The photon signals from all groups were monitored daily after infection by using the IVIS. The color bar indicates the signal intensity, with red and blue representing high and low bioluminescence, respectively.
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FIG. 6. Bioluminescence monitoring of the efficacy of vancomycin, cefazolin, or gentamicin in the rat S. aureus Xen29 endocarditis model. The total number of photons within the cardiac ROI was determined for all groups by using the IVIS. Each datum point indicates the mean and standard deviation for five to eight animals. Symbols: , untreated control; , vancomycin; , vancomycin relapse; X, cefazolin; , gentamicin.
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2 to 3 log10 CFU/g of tissue; P < 0.005) compared to untreated controls. Also, as predicted by BLS profiles, evidence of a microbiologic relapse was observed after discontinuation of vancomycin therapy, with higher S. aureus densities seen in all three target tissues than those at the end of the vancomycin therapy. Cefazolin treatment caused a
1.0-log10 CFU/g reduction in vegetation densities (P < 0.05 versus the control), consistent with the modest decreases observed in cardiac BLS. Gentamicin therapy caused no substantive reductions in S. aureus vegetation densities, paralleling the persistently high cardiac BLS (Table 2). |
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TABLE 2. S. aureus density in target tissues with antibiotic treatment in the rat endocarditis model
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Antibiotic levels in serum.
The peak concentrations of vancomycin (subcutaneously) and cefazolin (i.m.) in serum were reached after 4 and 2 h postdose, respectively, with achievable peak concentrations at >10x the MIC of both agents against the infecting strain at these time points (data not shown). Of note, the time above MIC was substantially longer for vancomycin (>12 h) than for cefazolin (
4 h), paralleling the better microbiologic and BLS efficacies of vancomycin in this model. Gentamicin mean peak concentrations in serum (
4 µg/ml) were below the MIC of the drug for this strain.
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A number of recent studies have emphasized the advantages of in vivo bioluminescent imaging for real-time monitoring of bacterial infections and their treatment (4, 5, 7, 9-11, 13, 21), showing it to be significantly more sensitive, rapid, and noninvasive than standard techniques. In addition, this technology allows quantitative numeric data to be obtained spatially from defined areas of the animal. Importantly, in vivo bioluminescent imaging enables each animal to be used as its own control over time without the need for sequential sacrifices at relevant time points, thus mitigating the problem of animal-to-animal variations. This latter ability not only significantly improves biostatistics through collection of multiple data points in the same animal but also helps to minimize the use of experimental animals. Further, once a correlation between photon emission and CFU for a given pathogen in a given target tissue is established, the bioluminescence intensities can be used to monitor the metabolic status and bacterial burden at specific sites of infection in vivo without animal sacrifice.
In the present studies, we used an S. aureus strain (ATCC 12600) which was bioluminescently engineered (Xen29) by using the gram-positive lux operon delivery transposon, Tn4001 luxABCDE (9-11). Using this constitutively bioluminescent strain, we were able to see both spatial and sequential information pertaining to the progression of the infection in vivo. Previous studies by Kadurugamuwa et al. have demonstrated the use of this bacterial strain and bioluminescent imaging techniques to monitor subcutaneous, catheter-associated S. aureus infection in mice and have shown that the efficacies of selected antimicrobial agents against such infections could be rapidly evaluated in vivo in real time (9, 10). In addition, they used this technology to predict in vivo development of rifampin resistance during therapy (11).
To date, bioluminescent imaging has not been utilized to monitor the progression or therapy of experimental endovascular infections. Therefore, in the present study, we adapted this system to the rat IE model and evaluated the therapeutic efficacy of several antibiotics in real time. Several interesting observations emerged from this investigation. In untreated control animals infected with a 105 CFU challenge, there was a significant correlation between the quantitative S. aureus burden in cardiac vegetations and the intensity of the bioluminescent signals from the heart. These data are consistent with findings by other investigators using the catheter-induced soft-tissue infection model (7, 9-11, 13, 21). In addition, the microbiologic efficacy of several conventional antistaphylococcal agents (as measured by reductions in cardiac vegetation bacterial densities) was mirrored by real-time changes in the intensity of cardiac bioluminescence. Thus, for this vancomycin- and cefazolin-susceptible S. aureus strain, treatment with each agent resulted in significant reductions in cardiac vegetation bacterial densities (vancomycin > cefazolin), paralleling the relative reductions in the intensity of the cardiac BLS. These overall microbiologic and cardiac BLS differences were attributable at least in part to the better pharmacokinetic and pharmacodynamic profile of vancomycin than that of cefazolin at dose strategies used in this study. It should be emphasized that the IVIS system accurately identified these differences in real time. Of note, gentamicin therapy of this gentamicin-resistant strain had in little impact on vegetation bacterial densities and cardiac bioluminescent intensities. Moreover, microbiologic relapse following discontinuation of vancomycin therapy was accurately predicted by observing increased bioluminescence. Importantly, regression analyses revealed a significant correlation between mean vegetation bacterial densities and mean BLS intensities in both untreated controls and antibiotic-treated animals.
It is interesting that no photon signals were detected over the kidneys or spleen in vivo and that only a minority of such target organs emitted photon signals ex vivo, despite S. aureus counts of >6 log10CFU/g of tissue in these two target organs. There are several conceivable explanations for this apparent paradox in the IE model. For example, a threshold tissue bacterial density may be required for photon image detection, since S. aureus densities are significantly higher in vegetations than in the kidneys and spleen in this model, by
2 log10 CFU/g of tissue (Tables 1 and 2). In addition, the tissue distribution of hematogenous staphylococcal infection in the kidneys and spleen tends to be more diffuse than observed within cardiac vegetations, potentially mitigating the overall photon intensity (12). Furthermore, the anatomic distance between the camera and the cardiac catheter may be shorter than that between the camera and the kidneys or spleen, anatomically blunting the photon signal. Also, since the infecting strain grew and luminesced maximally in the presence of the catheter, its absence in such metastatic foci may also reduce the photon signal. Other potential factors that may have mitigated the BLS from the kidneys and spleen compared to that from cardiac vegetations include (i) distinct microenvironmental characteristics of these anatomic niches, including low pH and high white cell influxes in abscesses, compared to cardiac vegetations and (ii) interference by hemoglobin of the photon signal in these organs (20). Investigations are in progress to study this phenomenon further.
As with any study, the use of a single staphylococcal strain may limit the generalizability of our conclusions. However, similar results have been obtained using the current strain in a different model of S. aureus infection (9). Moreover, similar data emerged when a distinct bioluminescent S. aureus strain (8325-4) was used (7, 13).
In conclusion, our results demonstrate that the experimental-rat IE model is readily adaptable to real-time monitoring of endovascular infections by bioluminescent imaging. In addition to evaluating antibiotic efficacy, this model should prove to be a useful tool in determining bacterial virulence gene expression profiles in vivo. Since the half-life of the bioluminescent signal is very short (1 to 2 h), this technology overcomes the limitations of other gene reporter systems (e.g., green fluorescent protein), in which signals with long half-lives signals complicate the capacity to define "on-off" profiles of genes of interest (26, 27).
We thank Yin Li for excellent technical assistance.
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