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(Stroke. 2008;39:1855.)
© 2008 American Heart Association, Inc.
Original Contributions |
From the Department of Neurology (J.M., A.R., W.-R.S.) and the Institute of Epidemiology and Social Medicine (J.H., J.W.), University of Münster, Münster, and Sygnis Bioscience (A.S.), Heidelberg, Germany.
Correspondence to J. Minnerup, Universitätsklinikum Münster, Klinik und Poliklinik für Neurologie, Albert-Schweitzer-Straβe 33, 48149 Münster, Germany. E-mail minnerup{at}uni-muenster.de or J. Heidrich, Institute of Epidemiology and Social Medicine, University of Münster, Domagkstraβe 3, 48149 Münster, Germany. E-mail heidricj@uni-muenster.de
| Abstract |
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Methods— Using electronic and manual searches of the literature, we identified studies describing the efficacy of G-CSF in animal models of focal cerebral ischemia. Two reviewers independently selected studies and extracted data on study quality, G-CSF doses, time of administration, and outcome measured as infarct volume and/or sensorimotor deficit. Data from all studies were pooled by meta-regression analyses.
Results— Thirteen studies including 277 animals for infarct size calculation and 258 animals for assessment of sensorimotor deficit met the criteria for inclusion. Overall efficacy of G-CSF regarding infarct size reduction was 42%. Meta-regression analysis revealed a 0.8% (P<0.0001) decrease in infarct size per 1-µg/kg increase in G-CSF dose when applied within the first 6 hours and a 2.1% (P<0.0001) decrease when applied later than 6 hours after induction of ischemia with a significant (P=0.0004) greater infarct size reduction after delayed treatment. Sensorimotor deficits categorized into 3 subgroups improved between 24% and 40%.
Conclusions— Our findings consolidate G-CSF as a drug that both reduces infarct size and enhances functional recovery. These effects are presumably dose dependent. In contrast to most other neuroprotectants, a beneficial outcome may also be achieved when treatment is delayed.
Key Words: strokehematopoietic cell growth factors meta-analysis animal models
| Introduction |
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Unfortunately, the efficacy of candidate neuroprotectants in animal experiments does not reliably predict efficacy in stroke patients. At least 912 drugs have been tested in animal models; 97 of these have been tested in clinical trials; and all of them have failed so far.14 This discrepancy between efficacy in animal models and that in clinical trials has been discussed exhaustively.14,15 Potential reasons include the use of inappropriate animals (animals are young and healthy, whereas patients are typically older and have various comorbidities, such as diabetes or hypertension), the use of inappropriate stroke models (anesthesia with neuroprotective properties, hypothermia in animals versus normothermia in patients), or low study quality due to unblinded assessment of animals and absent randomization of treatment allocation.
To enhance the likelihood of the successful development of new stroke therapies, the Stroke Therapy Academic Industry Roundtable (STAIR) was founded to improve preclinical development of candidate drugs.16 This group made a series of specific recommendations regarding the preclinical evaluation of neuroprotective drugs before proceeding into clinical stroke trials. G-CSF widely fulfills the STAIR criteria as indicated in a recent review.9 To improve the significance of animal data beyond application of the STAIR criteria, systematic meta-analyses of candidate neuroprotectants in animal experiments may be conducted.17–20 To obtain an overall impression of G-CSFs efficacy in recently published preclinical studies and for potential guidance of further clinical studies, a meta-analysis was performed. This included a description of the impact of study characteristics on efficacy and the conditions under which maximum efficacy can be achieved. Because of heterogeneity of the interventions, we sought to investigate the combined effect of the aforementioned elements on infarct volume and functional outcome, and for this purpose, we used a meta-regression technique.21
| Materials and Methods |
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Selection of Studies and Data Extraction
All studies were included in the analysis in which outcome was measured as volume of infarction or in which sensorimotor deficits were assessed. Studies of rodents with focal cerebral ischemia that received G-CSF or vehicle starting at or after induction of ischemia were evaluated. We extracted data of mean outcome, standard deviation, and number of animals in treatment and vehicle groups. When only standard errors were presented, they were converted to standard deviations. For comparisons of infarct volumes, the total dose of G-CSF in the first 24 hours was considered, and volumes measured at least 24 hours after induction of ischemia were included.
Because meta-analysis requires a reasonable number of tests, only sensorimotor tests were considered, which represented the most frequently used tests for measuring neurobehavioral outcome in the different studies included in the analysis. We categorized sensorimotor tests into 3 clinically meaningful groups: the Rotarod for running function, neuroscore as gross neurologic deficit score, and limb function (including the foot fault test, adhesive tape removal test, and modified limb placing test). When sensorimotor deficits were assessed at different times, only the last time point was included. For comparison of functional outcome data, the cumulative G-CSF dose was calculated. When values for data were expressed graphically only, we contacted the authors and asked them to provide the required additional data. If requested data were not provided, values were defined by using Corel Draw version 12 (Corel Corporate Communications, Ottawa, Canada).
Quality Assessment
We evaluated the methodological quality of the included studies by applying a modified scale used by Horn et al17 in a systematic review of nimodipine in experimental focal cerebral ischemia. Eleven aspects of each study were evaluated, as follows: (1) the dose-response relation, (2) randomization of the experiment, (3) optimal time window of treatment, (4) monitoring of physiologic parameters (temperature, glucose level, or blood pressure), (5) blinded outcome assessment, (6) assessment of at least 2 outcomes (infarct size and 1 functional outcome), (7) outcome assessment in the acute phase (1 to 7 days), (8) outcome assessment in the chronic phase (beyond 7 days), (9) appropriate animal model (aged, diabetic, or hypertensive), (10) compliance with animal welfare regulations, and (11) statement of potential conflict of interests. The 11 quality checklist items were categorized into 3 categories (category I, 8 to 11 items; category II, 4 to 7 items; and category III, 0 to 3 items). Two authors (J.M. and W.-R.S.) independently extracted data and assessed study quality. Disagreements were solved after discussion of the study details.
Statistical Analysis
The published results from the studies were displayed graphically and summarized by means of meta-analysis techniques separately for each of the end points, infarct volume and the 3 types of functional tests. In addition, mean infarct volume in treated animals was plotted against infarct volume in the corresponding control group (LAbbé plot).
For the remaining analyses, ratios of the results in treated and untreated animals were investigated.22 Thus, changes in results due to treatment are expressed as percentages and are therefore comparable across species regarding infarct volume and different measurement scales for the functional tests. Actually, this approach amounts to processing of the logarithms of published mean values. The corresponding standard errors, which are needed to compute weights for the subsequent computations, were approximated by means of the delta method.23 The CIs of ratios for treated and untreated animals, which are displayed in forest plots, have been approximated by Fiellers method.24
The published results were summarized under the assumption of a random-effects model by standard meta-analytic methods.25 For a first analysis, a single ratio of treated and untreated animals was computed for each trial. If there was >1 treatment group, the corresponding means were averaged by using weights according to the inverse variance method. A test for homogeneity across trials was performed. A weighted mean of the logarithms of these ratios was computed, wherein the weights were determined according to the random-effects approach of DerSimonian and Laird. These results were transformed into weighted geometric means, and CIs and were displayed in forest plots. Finally, percentage changes in the outcomes due to dosage and timing of G-CSF treatment were estimated by applying random-effects meta-regression26 to the logarithms of the results of each treatment and control group. Dosage was entered as fixed, linear term and different slopes were allowed for G-CSF administered <6 hours or 6 hours and more after the onset of ischemia. A random-intercept parameter was allowed for each trial. All analyses were performed with SAS version 9.1 (SAS Inc, Cary, NC). Probability values <0.05 were considered significant.
| Results |
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Study Quality
The median of quality checklist items was 6 (range, 2 to 9). No study investigated the dose-response relation. Only 3 studies were allocated to the highest quality category. Forest plots of studies ordered by quality category did not reveal a relation between study quality and efficacy (Figures 1 and 2
). There was significant heterogeneity for 3 of the 4 outcome measures (infarct volume, limb function, and neuroscore).
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Overall Efficacy and Impact of Drug Dose and Time of Administration
Animals that received G-CSF had considerably smaller infarct volumes compared with placebo-treated animals. Infarct size was reduced by 42% (95% CI, 34% to 49%; Figure 1). The LAbbé plot suggests a reduction of infarct volumes proportional to the infarct volumes of placebo-treated animals (Figure 3). Compared with placebo, G-CSF therapy reduced limb function deficits by 40% (95% CI, 9% to 61%; Figure 2). G-CSF enhanced Rotarod running by 24% (95% CI, 14% to 35%) and improved the neuroscore by 36% (95% CI, 25% to 44%; Figure 2).
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Results of a meta-regression analysis demonstrated effects of G-CSF dose and time of treatment initiation on outcome measures (Table 2). An increase in G-CSF dose of 1 µg/kg body weight for doses between 10 and 60 µg/kg body weight reduced infarct volumes by 0.84% (P<0.0001) and 2.06% (P<0.0001) for treatment initiation within the first 6 hours and later than 6 hours after the onset of ischemia, respectively. For an increase of 1 µg/kg for cumulative doses between 50 and 150 µg/kg, time on the Rotarod was extended by 2.1% (P=0.0017) and 2.2% (P<0.0001), respectively. For higher doses, limb function and neuroscore were also significantly improved (P<0.0001). A delay of treatment initiation after the first 6 hours reduced infarct volumes significantly (P=0.0004). The effects of time of treatment initiation on sensorimotor deficits were heterogenous. As shown in Table 2, there was a significant lower neuroscore and a significant improved limb function when treatment was delayed (P=0.014 and P=0.0076, respectively), whereas time of treatment initiation showed no significant effect on Rotarod performance (P=0.9096).
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| Discussion |
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Another important aspect of stroke drugs is the therapeutic time window, which is defined as the period from the onset of ischemia to the maximal delayed time point at which a candidate drug is still effective. The present meta-regression analysis revealed that delayed treatment was as effective as early treatment initiation and may have even led to smaller infarct sizes. This result is particularly surprising, as the time window for most candidate neuroprotectants is narrow.32 The potential of a much longer time window for G-CSF compared with other stroke drugs might be explained by its multimodal actions, consisting of neuroprotective and particularly proregenerative properties.4 However, the significance of this analysis is limited due to administration of the drug within the first few hours in most comparisons (see supplemental Figure I, available online at http://stroke.ahajournals.org). The neuroscore and the limb function also showed a favorable outcome when treatment was delayed, whereas the effects of time of treatment initiation on Rotarod performance were not significant. This might have been caused by the small number of comparisons and the heterogeneity of the tests. For these reasons, findings on functional outcome should be interpreted with caution.
| Methodologic Considerations |
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The usual approach of combining results from studies of continuous outcomes that were measured on different scales is to standardize these results by the corresponding standard deviations.25 A drawback of this approach is that the results of the meta-analysis can then only be interpreted in units of standard deviations, which are not easily comprehensible. Furthermore, the standard deviations available from the studies reviewed herein were based on low numbers of animals and might therefore be subject to considerable random error. These drawbacks are avoided when one considers percentage changes in mean values. Moreover, when considering infarct volume, a multiplicative effect of G-CSF is biologically plausible and seems to have been confirmed by the LAbbé plot (Figure 3).
Implication for Further Studies
The overall relatively good quality of the analyzed studies can be interpreted as a learning effect caused by the STAIR criteria. However, our analysis showed that only 1 study33 investigated G-CSF efficacy in animals with a comorbidity (hypertension), whereas no studies investigated G-CSF in stroke models with other conditions such as diabetes or high age. This lack of information should certainly be addressed in future studies. This meta-regression analysis suggests efficacy even after delayed treatment. However, further studies would be required to assess when the optimum time window closes and to determine the time of administration under which maximum efficacy can be achieved.
Selection of patients for future trials should resemble the situation of animal studies as close as possible to allow a successful transfer of experimental data to the clinical situation. All of the animal models that tested for G-CSF efficacy in this meta-analysis were based on middle cerebral artery occlusion models or photothrombotic ischemia in the anterior circulation. Consequently, only patients with ischemic strokes in the middle cerebral artery territory should be included. Enrolling patients with other stroke subtypes such as lacunes or subcortical white matter infarcts should be avoided. Experimental studies have shown that functional efficacy of candidate neuroprotective drugs can be more sensitively measured with subtle tests of sensorimotor function, such as the Rotarod or adhesive tape removal test instead of gross neurologic scales. In contrast, treatment efficacy in stroke patients is typically measured by relatively imprecise scales such as the modified Rankin Scale. Future studies even in the acute stroke situation could therefore be enhanced by including more sensitive measurement tools such as the Jebsen Taylor test or the Wolf Motor Function Test to detect drug-induced improvements in sensorimotor function.
Conclusions
This meta-analysis further strengthens confidence in the efficacy of G-CSF both for infarct volume reduction and for improvement of functional outcome. Furthermore, this first meta-regression analysis of a neuroprotective drug in animal stroke models reveals that effects were presumably dose related. It was shown that delayed treatment in the analyzed studies was as effective as early treatment initiation, pointing toward the recovery-enhancing effect of the drug, a property that distinguishes G-CSF from almost all other candidate stroke drugs.
| Acknowledgments |
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Disclosures
W.-R. Schäbitz and A. Schneider are inventors on a patent application regarding the neuroprotective effects of G-CSF. All other authors have no conflicts of interest.
| Footnotes |
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Received October 9, 2007; accepted October 15, 2007.
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