Abcombi Biosciences Inc., Amherst, New York, USA.
Department of Chemical and Biological Engineering, University at Buffalo, The State University of New York, Buffalo, New York, USA.
Infect Immun. 2018 Aug 22;86(9). doi: 10.1128/IAI.00494-18. Print 2018 Sep.
A critical component in clinical trials for vaccines against pneumococcal disease is the establishment of robust preclinical models and clinical correlates of protection, which, in the case of the causative bacterial agent , include standard sepsis/pneumonia mouse models and opsonophagocytic activity (OPA), respectively. Despite broad usage, these gold-standard measures are ill equipped to evaluate nontraditional antigens that target virulence factors beyond capsular polysaccharides and/or proteins not associated with colonization or routine growth. These assays are further complicated by observed inconsistencies in the expression of target protein antigens and in the quantity of usable bacteria provided from respective growth processes. In an effort to overcome these issues, we performed an extensive optimization study of the critical steps in a bacterial biofilm dispersion model (termed "the biofilm model") to identify conditions that yield the greatest quantity of released pneumococci displaying a consistent virulence phenotype. Using this knowledge, we developed a secondary immune absorbance assay to provide immediate insight into the phenotypic state of bacteria conditioned using the biofilm model. Specifically, positive correlations between the expression of PncO (a key virulence-associated protein antigen) and immune absorbance ( = 0.96), capsule shedding, and OPA assay titers were translated into a predictive readout of virulence in sepsis and pneumonia challenge models. These results present a methodology for generating consistent lots of virulent bacteria to standardize inputs in preclinical and clinical models for testing vaccines against biofilm-associated bacteria.
在肺炎球菌疾病疫苗的临床试验中,一个关键组成部分是建立强大的临床前模型和保护的临床相关性,就致病细菌而言,这分别包括标准的脓毒症/肺炎小鼠模型和调理吞噬活性(OPA)。尽管这些黄金标准的措施被广泛使用,但它们无法评估针对荚膜多糖以外的毒力因子和/或与定植或常规生长无关的蛋白质的非传统抗原。这些检测方法还因目标蛋白抗原的表达和各自生长过程中提供的可用细菌数量的不一致性而变得更加复杂。为了克服这些问题,我们对细菌生物膜分散模型(称为“生物膜模型”)中的关键步骤进行了广泛的优化研究,以确定可产生最大数量具有一致毒力表型的释放肺炎球菌的条件。利用这些知识,我们开发了一种二次免疫吸收测定法,可即时了解使用生物膜模型调理的细菌的表型状态。具体来说,PncO(一种关键的毒力相关蛋白抗原)的表达与免疫吸收(= 0.96)、荚膜脱落和 OPA 测定滴度之间的正相关关系转化为脓毒症和肺炎挑战模型中毒力的预测读数。这些结果提出了一种产生一致大量毒力细菌的方法,以标准化临床前和临床模型中用于测试针对生物膜相关细菌的疫苗的输入。