Highly sensitive immunoassay for direct diagnosis of viral hemorrhagic septicemia which uses antinucleocapsid monoclonal antibodies.
An antigen capture enzyme-linked immunosorbent assay (ELISA) based on the detection of the viral nucleocapsid (anti-N system) was developed for the diagnosis of viral hemorrhagic septicemia. Four monoclonal antibodies directed against the viral nucleocapsid were produced; they all recognized the four viral hemorrhagic septicemia virus (VHSV) serotypes. Three of these monoclonal antibodies were used in a new antigen capture ELISA. The efficiency of the anti-N system in detecting purified and crude viruses as well as the virus in infected-organ extracts and infected blood was compared with that of a recently described antigen capture ELISA based on the detection of viral envelope glycoprotein Gp (anti-G system). For the detection of purified virus, the anti-N system was found to be as sensitive as the anti-G system (detection limit, 1 ng of total viral protein per ml), but the anti-N system was much more sensitive than the anti-G system for the detection of crude VHSV I (detection limits, 1 x 10(4) PFU/ml versus 5 x 10(5) PFU/ml). In organ extracts, VHSV I could be detected by both systems 3 days postinfection. The signal for the assay of VHSV I in blood 24 h postinfection was higher with the anti-N system than the anti-G system. Furthermore, VHSV I could be detected in 80% of the brain samples of surviving trout by the anti-N system and also by the anti-G system, but with a lower signal. In conclusion, we have developed a highly sensitive immunoassay for VHSV I that is more rapid and easier to perform than the currently used plaque assay.[1]References
- Highly sensitive immunoassay for direct diagnosis of viral hemorrhagic septicemia which uses antinucleocapsid monoclonal antibodies. Mourton, C., Romestand, B., de Kinkelin, P., Jeffroy, J., Le Gouvello, R., Pau, B. J. Clin. Microbiol. (1992) [Pubmed]
Annotations and hyperlinks in this abstract are from individual authors of WikiGenes or automatically generated by the WikiGenes Data Mining Engine. The abstract is from MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine.About WikiGenesOpen Access LicencePrivacy PolicyTerms of Useapsburg
