Suppr超能文献

通过两种间接酶联免疫吸附测定法测定疫苗诱导和自然获得的类特异性腮腺炎抗体。

Determination of vaccine-induced and naturally acquired class-specific mumps antibodies by two indirect enzyme-linked immunosorbent assays.

作者信息

Nigro G, Nanni F, Midulla M

出版信息

J Virol Methods. 1986 May;13(2):91-106. doi: 10.1016/0166-0934(86)90077-7.

Abstract

Paired sera from 46 vaccinees and 22 patients with clinically typical or atypical parotitis were tested for class-specific mumps antibodies by two different indirect enzyme-linked immunosorbent assay (ELISA) procedures. Both ELISAs appeared suitable, specific and more sensitive than neutralization (NT) and complement-fixation (CF). However, the macro-ELISA (M-ELISA) method, using beads as antigen-coated solid phase, showed a higher sensitivity than micro-ELISA (m-ELISA), performed on microplates. Diagnostic rises in mumps IgG antibodies and mumps IgA antibodies were detected more frequently by M-ELISA, mostly in post-vaccination sera. In addition, higher mean OD values of mumps IgG, IgA and IgM antibodies were generally found by M-ELISA. Nevertheless, m-ELISA appeared more convenient for evaluating class-specific mumps antibodies in large-scale studies, since the procedure is simpler, more rapid and less expensive than that of M-ELISA. Conversely, M-ELISA may be considered the test of choice for detecting low class-specific antibody levels. However, the determination of class-specific mumps antibodies appeared as an essential tool for evaluating vaccine-induced or naturally acquired mumps immunity.

摘要

采用两种不同的间接酶联免疫吸附测定(ELISA)方法,对46名疫苗接种者以及22名患有临床典型或非典型腮腺炎患者的配对血清进行了腮腺炎特异性抗体检测。两种ELISA方法均显示出适用性、特异性,且比中和试验(NT)和补体结合试验(CF)更为灵敏。然而,使用包被抗原的磁珠作为固相的宏ELISA(M-ELISA)方法,比在微孔板上进行的微ELISA(m-ELISA)具有更高的灵敏度。通过M-ELISA更频繁地检测到腮腺炎IgG抗体和腮腺炎IgA抗体的诊断性升高,大多出现在接种疫苗后的血清中。此外,M-ELISA通常能检测到更高的腮腺炎IgG、IgA和IgM抗体平均光密度值。尽管如此,m-ELISA在大规模研究中评估腮腺炎特异性抗体时似乎更为便捷,因为该方法比M-ELISA操作更简单、更快速且成本更低。相反,M-ELISA可被视为检测低水平特异性抗体的首选试验。然而,腮腺炎特异性抗体的测定似乎是评估疫苗诱导或自然获得的腮腺炎免疫力的重要工具。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验