Dual-emission fluorescence resonance energy transfer (FRET) real-time PCR differentiates feline immunodeficiency virus subtypes and discriminates infected from vaccinated cats

双发射荧光共振能量转移(FRET)实时PCR可区分猫免疫缺陷病毒亚型,并区分感染猫和接种疫苗的猫。

阅读:1

Abstract

Feline immunodeficiency virus (FIV) is among the most common infectious agents of cats. Five well-characterized FIV subtypes, A, B, C, D, and E, are recognized worldwide. As in HIV diagnosis, serum antibodies against FIV classically serve as an indicator of infection status. After the introduction of an inactivated FIV vaccine, this approach has become problematic, since antibodies generated by vaccination are indistinguishable from antibodies in response to infection. However, PCR detection of host-cell-integrated FIV DNA will differentiate infection-derived antibody from vaccination-derived positivity because presumably the RNA of inactivated vaccine virus will not integrate into the host genome. In this study, we established a gag gene-based dual-emission fluorescence resonance energy transfer (FRET) real-time PCR that amplifies single-target copies of all known FIV strains and differentiates five FIV subtypes. All blood samples from experimentally FIV-infected cats (n=5) were antibody positive and highly positive in the FIV PCR. In contrast, nine cats became antibody positive after FIV vaccination but remained negative in the FIV PCR. Of 101 FIV antibody-positive feline blood specimens submitted for FIV PCR diagnosis, 61 were positive (60%). A total of 23 of the positive PCRs identified subtype A, 11 identified subtype B1, 11 identified subtype B2/E, and 16 identified subtype C. FIV subtype D was not detected in any submitted specimens even though 13 blood specimens were from cats known to have received the FIV vaccine, which contains FIV subtype A and D inactivated virions. Therefore, this PCR quantitatively identifies FIV subtypes and unambiguously discriminates between FIV-vaccinated and FIV-infected cats.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。