Sacchi C T, Lemos A P, Brandt M E, Whitney A M, Melles C E, Solari C A, Frasch C E, Mayer L W
Division of Medical Biology, Bacteriology Department, Adolfo Lutz Institute, São Paulo, Brazil.
Clin Diagn Lab Immunol. 1998 Nov;5(6):845-55. doi: 10.1128/CDLI.5.6.845-855.1998.
Neisseria meningitidis isolates are conventionally classified by serosubtyping, which characterizes the reactivities of the PorA outer membrane protein variable-region (VR) epitopes with monoclonal antibodies (MAbs). A newer method (PorA VR typing) uses predicted amino acid sequences derived from DNA sequence analysis. The resulting classification schemes are not standardized, offering conflicting and sometimes irreconcilable data from the two methods. In this paper, we propose a standardization of the PorA VR typing nomenclature that incorporates serologic information from traditional PorA serosubtyping with molecular data from predicted VR sequences. We performed a comprehensive literature and database search, generating a collection of strains and DNA sequences that reflects the diversity within PorA that exists to date. We have arranged this information in a comprehensive logical model that includes both serosubtype and PorA VR type assignments. Our data demonstrate that the current panel of serosubtype-defining MAbs underestimates PorA VR variability by at least 50%. Our proposal for VR typing is informative because amino acid sequence and serologic information, when serosubtype-defining MAbs are available, can be deduced simultaneously from the PorA VR designation. This scheme will be useful in future classification and applied epidemiologic studies of N. meningitidis, being a systematic way of selecting PorA vaccine candidates and analyzing vaccine coverage and failure.
脑膜炎奈瑟菌分离株传统上通过血清分型进行分类,血清分型是根据外膜蛋白PorA可变区(VR)表位与单克隆抗体(MAb)的反应性来表征的。一种更新的方法(PorA VR分型)使用从DNA序列分析中获得的预测氨基酸序列。由此产生的分类方案并不标准化,两种方法提供的数据相互矛盾,有时甚至无法统一。在本文中,我们提出了一种PorA VR分型命名法的标准化方案,该方案将传统PorA血清分型的血清学信息与预测VR序列的分子数据相结合。我们进行了全面的文献和数据库检索,生成了一组菌株和DNA序列,反映了迄今为止PorA中存在的多样性。我们将这些信息整理成一个综合逻辑模型,其中包括血清亚型和PorA VR类型的指定。我们的数据表明,目前用于定义血清亚型的单克隆抗体面板至少低估了PorA VR变异性的50%。我们提出的VR分型方法很有参考价值,因为在有定义血清亚型的单克隆抗体的情况下,氨基酸序列和血清学信息可以从PorA VR指定中同时推导出来。该方案将有助于未来脑膜炎奈瑟菌的分类和应用流行病学研究,是选择PorA疫苗候选株以及分析疫苗覆盖率和疫苗失效情况的一种系统方法。