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Permanent URL to this publication: http://dx.doi.org/10.5167/uzh-3037

Tandon, R; Cattori, V; Gomes-Keller, M A; Meli, M L; Golder, M C; Lutz, H; Hofmann-Lehmann, R (2005). Quantitation of feline leukaemia virus viral and proviral loads by TaqMan real-time polymerase chain reaction. Journal of Virological Methods, 130(1-2):124-132.

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Abstract

Feline leukaemia virus (FeLV) infection in cats is not only of veterinary importance but also a well-acknowledged animal model for studying the pathogenesis of retroviral disease. After virus exposure, different courses and outcomes of FeLV infection may prevail; they have been associated with cellular and humoral immune responses and the FeLV proviral load in peripheral blood. We hypothesized that the plasma viral RNA load might be an additional relevant indicator for the infection outcome. To quantify these loads, a real-time reverse transcriptase (RT) polymerase chain reaction (PCR) assay was developed. The assay amplifies FeLV-A, -B, and -C as some naturally infected cats could not be identified with a FeLV-A-based assay previously. The assay was applied to determine plasma FeLV RNA loads in cats infected both naturally and experimentally with FeLV. In addition, an improved real-time PCR assay for quantitation of FeLV proviral loads is described. The assays developed were more sensitive than ELISA and virus isolation in the early phase of infection. In addition, PCR allows the identification of provirus carriers that have overcome antigenaemia. Thus, for most effective detection of FeLV exposure and characterization of the infection in a cat, PCR assays are recommended as diagnostic tools.

Item Type:Journal Article, refereed, original work
Communities & Collections:05 Vetsuisse Faculty > Veterinary Clinic > Department of Farm Animals > Clinical Laboratory
DDC:570 Life sciences; biology
630 Agriculture
Language:English
Date:2005
Deposited On:19 Aug 2008 10:40
Last Modified:27 Nov 2013 23:33
Publisher:Elsevier
ISSN:0166-0934
Publisher DOI:10.1016/j.jviromet.2005.06.017
PubMed ID:16054243
Citations:Web of Science®. Times Cited: 49
Google Scholar™
Scopus®. Citation Count: 52

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