Virologie und Mykologie

Virologie und Mykologie
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ISSN: 2161-0517

Abstrakt

A Comparison between ELISA and CIEP for Measuring Antibody Titres against Aleutian Mink Disease Virus

Farid AH and Segervall J

Introduction: Enzyme-linked immunosorbent assays (ELISA) is used for the identification of mink with low
antibody titre against the Aleutian mink disease virus (AMDV) who can tolerate the infection. There is no published
information on the merit of ELISA for measuring antibody titre. An ELISA was compared with the
counterimmunoelectrophoresis (CIEP) for quantifying antibodies against AMDV.
Materials and methods: In experiment 1 (EX1), 41 black mink were inoculated with various amounts of a local
strain of AMDV and were euthanized on day 218 post-inoculation (pi). In experiment 2 (EX2), 262 black mink were
inoculated with a single doses of the same virus and euthanized 16 to 71 weeks pi. Antibodies to AMDV were
quantified by CIEP using 10 two-fold serial dilutions of plasma, and serum samples were tested by the ELISA. Total
serum proteins, albumin and globulins were measured in EX1.
Results and discussion: All mink were tested positive for AMDV infection by PCR in both experiments. There
were moderate concordances between CIEP and ELISA results (Spearman correlation of 0.77 and 0.71 in EX1 and
EX2, respectively). Each ELISA class spanned a wide range of antibody titres in both experiments. Antibody titres of
lower than 32 were not associated with serum proteins while greater titers were positively associated with total
serum proteins and globulins (P<0.01) and negatively associated with albumin and albumin:globulin ratio (P<0.01).
Regressions of serum protein measurements on ELISA classes were linear and in the same directions as, although
weaker than, those on CIEP.
Conclusion: Although ELISA was not able to accurately measure anti-AMDV antibody titre, in the absence of any
other practical method, it is a useful tool for ranking mink for anti-AMDV antibody titres.
 

Haftungsausschluss: Diese Zusammenfassung wurde mithilfe von Tools der künstlichen Intelligenz übersetzt und wurde noch nicht überprüft oder verifiziert.
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