Unit for Laboratory Animal Medicine, University of Michigan Medical School, Ann Arbor, MI 48109, USA.
BMC Bioinformatics. 2013;14 Suppl 6(Suppl 6):S3. doi: 10.1186/1471-2105-14-S6-S3. Epub 2013 Apr 17.
Vaccine protection investigation includes three processes: vaccination, pathogen challenge, and vaccine protection efficacy assessment. Many variables can affect the results of vaccine protection. Brucella, a genus of facultative intracellular bacteria, is the etiologic agent of brucellosis in humans and multiple animal species. Extensive research has been conducted in developing effective live attenuated Brucella vaccines. We hypothesized that some variables play a more important role than others in determining vaccine protective efficacy. Using Brucella vaccines and vaccine candidates as study models, this hypothesis was tested by meta-analysis of Brucella vaccine studies reported in the literature.
Nineteen variables related to vaccine-induced protection of mice against infection with virulent brucellae were selected based on modeling investigation of the vaccine protection processes. The variable "vaccine protection efficacy" was set as a dependent variable while the other eighteen were set as independent variables. Discrete or continuous values were collected from papers for each variable of each data set. In total, 401 experimental groups were manually annotated from 74 peer-reviewed publications containing mouse protection data for live attenuated Brucella vaccines or vaccine candidates. Our ANOVA analysis indicated that nine variables contributed significantly (P-value < 0.05) to Brucella vaccine protection efficacy: vaccine strain, vaccination host (mouse) strain, vaccination dose, vaccination route, challenge pathogen strain, challenge route, challenge-killing interval, colony forming units (CFUs) in mouse spleen, and CFU reduction compared to control group. The other 10 variables (e.g., mouse age, vaccination-challenge interval, and challenge dose) were not found to be statistically significant (P-value > 0.05). The protection level of RB51 was sacrificed when the values of several variables (e.g., vaccination route, vaccine viability, and challenge pathogen strain) change. It is suggestive that it is difficult to protect against aerosol challenge. Somewhat counter-intuitively, our results indicate that intraperitoneal and subcutaneous vaccinations are much more effective to protect against aerosol Brucella challenge than intranasal vaccination.
Literature meta-analysis identified variables that significantly contribute to Brucella vaccine protection efficacy. The results obtained provide critical information for rational vaccine study design. Literature meta-analysis is generic and can be applied to analyze variables critical for vaccine protection against other infectious diseases.
疫苗保护效果的调查包括三个过程:接种疫苗、病原体挑战和疫苗保护效果评估。许多变量会影响疫苗保护效果的结果。布鲁氏菌属是兼性细胞内细菌,是人类和多种动物物种布鲁氏菌病的病原体。已经进行了广泛的研究来开发有效的活减毒布鲁氏菌疫苗。我们假设,在确定疫苗保护效果方面,一些变量比其他变量更重要。本研究使用布鲁氏菌疫苗和候选疫苗作为研究模型,通过对文献中报道的布鲁氏菌疫苗研究进行荟萃分析来验证这一假设。
根据对疫苗保护过程的建模研究,选择了 19 个与小鼠感染强毒布鲁氏菌的疫苗诱导保护相关的变量。将“疫苗保护效果”设为因变量,将其他 18 个变量设为自变量。从文献中为每个数据集的每个变量收集离散或连续的值。从包含活减毒布鲁氏菌疫苗或候选疫苗的小鼠保护数据的 74 篇同行评审出版物中,总共手动注释了 401 个实验组。我们的方差分析表明,有九个变量对布鲁氏菌疫苗保护效果有显著影响(P 值<0.05):疫苗株、接种宿主(小鼠)株、接种剂量、接种途径、挑战病原体株、挑战途径、挑战杀伤间隔、小鼠脾脏中的菌落形成单位(CFU)和与对照组相比的 CFU 减少。其他 10 个变量(例如,小鼠年龄、接种-挑战间隔和挑战剂量)未发现具有统计学意义(P 值>0.05)。当几个变量(例如,接种途径、疫苗活力和挑战病原体株)的值发生变化时,RB51 的保护水平降低。这表明很难预防气溶胶挑战。有些出人意料的是,我们的结果表明,与鼻内接种相比,腹腔内和皮下接种更能有效地预防气溶胶布鲁氏菌的挑战。
文献荟萃分析确定了对布鲁氏菌疫苗保护效果有显著贡献的变量。研究结果为合理的疫苗研究设计提供了关键信息。文献荟萃分析是通用的,可以应用于分析其他传染病疫苗保护的关键变量。