Gondaira F, Sugiyama J
DENKA SEIKEN Co., Ltd.
Kansenshogaku Zasshi. 1996 Jul;70(7):673-80. doi: 10.11150/kansenshogakuzasshi1970.70.673.
Legionella pneumophila serogroup (SG) 1 has been known as a most frequent and important causative bacteria of Legionella pneumonia. It was reported that antigenicity of the serogroup was composed by numerous antigenic factors. To study antigenic factor formula of Japanese isolates from both clinical and environmental sources together with Philadelphia 1 strain, we examined slide latex agglutination system with monoclonal antibodies for subsergorouping. Philadelphia 1 and GIFU10102 strain (environmental isolate) were used as immune strains based on a cross absorption test result by rabbit antisera. Five anti L. pneumophia SG1 monoclonal antibody-producing clones were established. All monoclonal antibodies were SG1 specific but showed different reactivities with strain to strain. We prepared monoclonal antibody sensitized latex and used for subserogrouping of isolated strains. Twenty-two clinical isolates from Legionella pneumonia patients and 26 environmental isolates were examined. Each strain was reacted with at least one of the 5 sensitized latex and its antigenic formula was designed by sensitized latex reaction pattern. As a total of 6 patterns demonstrated in clinical isolates and 7 patterns in environmental isolates, 48 L. pneumophila SG1 isolates were divided into 11 subserogroup patterns. The antigenic formula of Philadelphia 1 was same as one of clinical isolate patterns. It was considered that this subserogrouping system would be a useful tool for epidemiologic study.
嗜肺军团菌血清群(SG)1一直被认为是军团菌肺炎最常见且重要的致病菌。据报道,该血清群的抗原性由众多抗原因子组成。为了研究来自临床和环境来源的日本分离株以及费城1株的抗原因子模式,我们使用单克隆抗体检测玻片乳胶凝集系统以进行亚血清群分类。根据兔抗血清的交叉吸收试验结果,将费城1株和岐阜10102株(环境分离株)用作免疫菌株。建立了5个产生抗嗜肺军团菌SG1单克隆抗体的克隆。所有单克隆抗体均对SG1具有特异性,但对不同菌株显示出不同的反应性。我们制备了单克隆抗体致敏乳胶并用于分离菌株的亚血清群分类。检测了22株来自军团菌肺炎患者的临床分离株和26株环境分离株。每个菌株与5种致敏乳胶中的至少一种发生反应,并根据致敏乳胶反应模式设计其抗原模式。临床分离株共显示出6种模式,环境分离株显示出7种模式,48株嗜肺军团菌SG1分离株被分为11种亚血清群模式。费城1株的抗原模式与临床分离株模式之一相同。认为该亚血清群分类系统将成为流行病学研究的有用工具。