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Infection and Immunity, December 2005, p. 7836-7843, Vol. 73, No. 12
0019-9567/05/$08.00+0 doi:10.1128/IAI.73.12.7836-7843.2005
Copyright © 2005, American Society for Microbiology. All Rights Reserved.
Xenogen Corporation, 860 Atlantic Avenue, Alameda, California 94501
Received 24 May 2005/ Returned for modification 1 August 2005/ Accepted 25 August 2005
| ABSTRACT |
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| INTRODUCTION |
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Several animal models of bacterial meningitis have recently been used to identify the bacterial and host inflammatory factors responsible for brain injury during the course of bacterial meningitis (7, 10, 19, 28, 37), but the development of feasible therapeutic strategies to decrease meningitis-induced brain dysfunction remains a challenge (12). One major limitation with animal models has been the difficulty in assessing the molecular mechanisms of both the inflammatory response and the neuronal damage over time without sacrificing the animal. Even a simple evaluation of tissue damage in these models usually requires time-consuming histological examination of selected postmortem tissue samples rather than a whole-body analysis.
We combined animal engineering with modern imaging technology to visualize the multiparameter dynamics of specific molecular processes in living animals. Using recent advances in biophotonic imaging of bioluminescent reporters for detection for the study of human disease in live animal models (1, 4) and the introduction of reporter genes into genetically modified animals (15, 16), we demonstrated that it is possible to investigate both the disease process and the host response through the activity of a given gene in the context of a living organism.
Astrocytes have many roles in the brain and are the predominant neuroglial cells of the CNS (18, 20). They are integral parts of synapses and provide physical support to neighboring neurons, meninges, and vasculature. Glial fibrillary acidic protein (GFAP) is a major intermediate structural filament protein that is expressed predominantly in mature astrocytes of the CNS and is considered to be a reliable cell-specific biomarker for monitoring neuronal activity under development and pathological conditions (3, 17, 18, 24, 30, 31, 36). While the molecular mechanism of astrocyte activation is poorly understood, a biomarker for astrogliosis is the cytoskeletal GFAP of astrocytes (24). Consequently, understanding the in vivo activity of GFAP during pneumococcal meningitis is of interest for obtaining insight into astrocyte function and for understanding the CNS response to infection. To enable visualization and quantification of GFAP activity in response to infection in a single animal without surgery or biopsy, we used a transgenic mouse model that involves the firefly luciferase gene (luc) driven by the murine GFAP promoter (36). Using this GFAP animal model, we produced meningitis by infecting animals with a lux-containing bacterium for simultaneous in vivo analysis of disease progression and the GFAP response. Here we describe a novel model and approach that allowed noninvasive tracking of an infection and the host response to the disease agent and therapy, which integrated the concept of longitudinal analysis of spatial and temporal data acquired from individual animals nondestructively. While previously this approach was not possible with standard models, we believe that it can be used to answer very diverse questions about biological events and the host response, including questions about other types of pathogenesis, tumors, and degenerative diseases.
| MATERIALS AND METHODS |
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Mouse model of meningitis. A total of 29 female FVB/N-Tg (GFAP-luc) mice (36) (Xenogen Corp, Alameda, CA) weighing 22 to 30 g were anesthetized with 2.5% isoflurane, and their heads and spine areas were shaved to expose the inoculation sites, which allowed accurate delivery of the pathogen to the subarachnoid space. Using a 30.5-gauge needle and a Hamilton syringe, 10 µl of a suspension containing 104 CFU of S. pneumoniae Xen 10 in sterile pyrogen-free saline was slowly delivered intracisternally as described previously (9). Another group of mice was mock infected with sterile saline, and these mice served as uninfected controls. Mice were observed until they recovered from anesthesia, at which time they showed no evidence of behavioral abnormalities. At different times after infection (11 h, 17 h, and 19 h), groups of mice (n = 5) were treated subcutaneously with 100 mg/kg ceftriaxone (7, 9) in 0.1 ml saline. The treatment was repeated every 12 h for 3 days (a total of six treatments). The MIC and minimal bactericidal concentration of ceftriaxone for S. pneumoniae Xen 10 were 0.015 and 0.03 µg/ml, respectively (7, 9). A limited number of mice from each experimental group were euthanized, and cerebrospinal fluid (CSF) was withdrawn at several times after infection as described previously (9) for determination of the bacterial titers in the CSF. All experimental procedures for the animals were performed in accordance with guidelines of the Institutional Animal Care and Use Committee. Moribund mice were sacrificed according to the Institutional Animal Care and Use Committee protocol, and the time of sacrifice was considered to be the time of death.
GFAP-luc transgenic mice. The GFAP-luc transgenic mouse line was created by microinjection of a luciferase reporter driven by a 12-kb fragment of the GFAP promoter into FVB/N embryos at Xenogen Biosciences Corporation, as described previously (36).
Spectral measurements using the IVIS 200 imaging system.
In vivo bioluminescence imaging was performed using an IVIS imaging system (200 series; Xenogen Corp., Alameda, CA). The IVIS 200 imaging system used in this study is equipped with 17 band-pass filters that are 20 nm wide, with central wavelengths ranging from 420 nm to 740 nm. Since the bioluminescence of bacterial luciferase (lux) and the bioluminescence of firefly luciferase (luc) are separated spectrally (4), different filters were used to selectively image the bioluminescent signals from bacteria (lux) and GFAP promoter-driven (luc) reporter expression (host response). The results of these experiments showed that bacterial and host spectra were separated spectrally, with peaks at 490 and 610 nm, respectively (Fig. 1). Prior to imaging, mice were anesthetized with 2 to 2.5% isoflurane gas and then placed in an imaging box without restraint and imaged for a maximum of 5 min at various times. During imaging, mice were placed on the warmed stage of the light-tight imaging chamber and maintained in an anesthetized state by constant delivery of 2.5% isoflurane through an IVIS anesthesia manifold. Images were acquired using the 500-nm filter to target the bacterial luciferase (
max, 490 nm) and 620-nm filters to measure firefly luciferase (
max, 610 nm). In addition, images were taken before and after intraperitoneal injection of 150 mg/kg luciferin (BioSynth, Staad, Switzerland). The images acquired before luciferin injection collected only light emitted from pneumococci since these organisms did not require an external supply of luciferin to produce light (4). After luciferin injection, images recorded with the 500-nm filter revealed only bacterial luciferase since firefly luciferase emission was negligible in this region of the spectrum. Following luciferin injection, images collected at 620 nm were a combination of the host luciferase expression and the bacterial luciferase expression. Since bacterial luciferase has a broad spectrum, a small fraction of its light was still collected with the 620-nm filter. In order to separate host expression in the 620-nm-filtered images, the bacterial contribution was subtracted using the mathematical tools available in the Living Image 2.5 software (Xenogen Corp.). First, the total flux was measured for both the 500-nm and 620-nm images acquired before luciferin injection in regions of interest around the brain or spine, and the ratio of the 620-nm bacterial luciferase emission to the 500-nm bacterial luciferase emission was determined. This ratio was used as a weighing coefficient to subtract the 500-nm images from the 620-nm images acquired after luciferin injection. This subtraction allowed quantification of the host bioluminescence and the bacterial bioluminescence individually. The light output from specified regions of interest was quantified by determining the total number of photons emitted per second using the Living Image analysis software. The data were represented as pseudo-color images indicating light intensity (blue or black, least intense; red or yellow, most intense), which were superimposed over the grayscale reference photographs. The IVIS imaging system was calibrated with a NIST traceable source in order to measure light in absolute, quantitative physical units.
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Statistical analyses.
Statistical analyses were carried out by using Student's t test. A P value of
0.05 was considered significant.
| RESULTS |
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0.05) and 107 photons/s by an average of 12-fold (P
0. 02) around the spine after 24 h (Fig. 4A and B). The rapid increase in the GFAP signal 3 to 4 h following infection could be prevented by starting antibiotic treatment of the infected animals by 11 h postinfection. If the same treatment was postponed until 17 h postinfection, when the GFAP signal reached moderately high levels in the brain (3.8 x 107 photons/s), the bacterial signal was rapidly reduced (Fig. 3A and B). However, this treatment regimen failed to reduce the GFAP signal in the brain to the same level as the 11-h postinfection treatment regimen (Fig. 4A). The mice treated at 17 h postinfection showed no further increase in GFAP signal, but the signal persisted for the next
30 h compared to untreated mice and declined gradually by the end of the study. Even with the subsequent decline, the GFAP signal remained approximately fourfold higher than the signal for the uninfected group at the end of study (Fig. 4A). The GFAP photon intensity for the spinal region of this group after administration of the antibiotic started to decline and slowly reverted almost to the intensity observed for the noninfected control group by the end of the study (Fig. 4B). Remarkably, administration of the antibiotic to animals with severe meningitis, when the bacterial load, disease severity, and GFAP signal were high (19 h postinfection), resulted in a robust increase in the intensity of GFAP, to levels even above the levels for the untreated control group. In contrast to the bacterial signal, despite effective bacterial sterilization, the intensity of the GFAP signal continued to increase and reached approximately 30- and 100-fold in the brain and spine at 22 and 41 h, respectively (Fig. 2 and 4). In this group, only 20% of the animals survived beyond 22 h. The signal intensities in the brain and spinal column in the surviving animals declined but remained greater than the intensities in the noninfected control mice. The mice that survived pneumococcal infection in this group experienced infrequent epileptic seizures. No bacteria were recovered from the blood or CSF of the dead or live animals in groups given ceftriaxone, which suggests that death was not due to the presence of bacteria.
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| DISCUSSION |
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Reduction of the GFAP signal to a level resembling that of the uninfected control groups was seen in mice treated early, when they had a low bacterial load and clinical signs, suggesting that the damage to the CNS was minimal and the astrocytes were capable of faster recovery. In contrast, the most prominent GFAP signals were the signals from groups of animals that had advanced meningitis (and a heavy bacterial load) but were treated and cured with a bactericidal agent. In these animals not only was GFAP expressed for a longer time, but the levels remained elevated above the control group levels throughout the observation period. Most strikingly, the animal that survived beyond 42 h in this group also experienced occasional seizures. Imaging of dissected brains ex vivo revealed that the GFAP signal came from specific parts of the brain with various degrees of intensity. The degree of resolution could be critical when the neurobiology of pneumococcal infection is studied, as it allows correlations to be made between particular symptoms and the focus of the infection in the brain. For instance, pneumococcus-associated neuronal injury most frequently occurs in the hippocampus, an area of the brain associated with spatial verbal memory, as well as learning (7, 27, 29, 33, 37).
In addition to the structural function of GFAP, this protein has also been implicated in several processes in the CNS, including maintenance of the blood-brain barrier, neuroprotection, volume regulation, myelination, neuromodulation, and the ability to protect the CNS from infection (3, 14, 30, 31). Moreover, it plays a role in restoring structural and physiological integrity after injury (23). Unlike other neurons in the brain, hippocampal dentate gyrus neurons have the ability to undergo proliferation and neurogenesis (24). Our observation of a persistent, elevated GFAP signal in postmeningitic mice suggests that GFAP may be involved in recovery from injury.
In previous studies injury to the CNS in bacterial meningitis has been determined primarily by histology, immunohistochemistry, or magnetic resonance imaging volumetry (6, 7, 19, 35, 37). In most instances, the data are obtained at terminal sampling points or at autopsy, which does not allow the disease course to be monitored in the same animal and comparative values to be assessed. Unfortunately, these approaches do not allow investigation of the connection between the host and the pathogen during the acute phase of infection or during convalescence. In this regard, our approach provides the intriguing possibility of being able to visualizing the two processes simultaneously and quantitatively in real time in the same animal by whole-body imaging. It effectively monitors astrocyte activity and facilitates the analysis of early astrogliosis. Understanding the pathogenic mechanisms that lead to neuronal injury that accompany pneumococcal meningitis is crucial for the development of more effective therapeutic strategies. This work provides such information on the molecular targets for possible pharmacological intervention that could be used to manipulate systems for improvement of neuroprotection and repair in a damaged CNS.
| ACKNOWLEDGMENTS |
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| FOOTNOTES |
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