During recent years neutralizing antibodies against Border Disease Virus (BDV) were found repeatedly in German pig herds. Consequently there was a demand for a differential diagnostic system. A permanent sheep cell line and BDV reference strain Moredun were chosen and were applied in a could be used case study. A pestivirus could be isolated from piglets on a mixed farm and was characterised as 'non-Classical Swine Fever' (CSF) by using monoclonal antibodies. Due to a CSF suspicion the pig herd was destroyed immediately. Serum samples of sheep from the same farm were used for further characterisation of the new virus isolate. A neutralization test of the sheep sera was performed against different pestiviruses and the new isolate. Neutralizing antibody titres against the new virus pig isolate were significantly higher than against all other pestiviruses. BDV strain Moredun recognised the antibodies clearly, whereas CSF viral strain Alfort 187 and several isolates of bovine viral diarrhoea virus (BVDV) strains scored the lowest cross reaction.
[Show abstract][Hide abstract] ABSTRACT: Bu makalede, küçükbaş hayvan sürülerinde büyük ekonomik kayıplara yol açan, abortlar ve kongenital anomalili yavru doğumu ile karakterize olan Sınır Hastalığı’nın (Border Disease, BD) etiyolojik özellikleri, etkenin bulaşma yolları, meydana getirdiği klinik-patolojik bulgular, patogenez mekanizması, teşhisi ve mücadele yolları hakkındaki güncel bilgiler sunulmuştur.
[Show abstract][Hide abstract] ABSTRACT: Neutralization immunofluorescence test (NIFT), currently used for detecting neutralizing antibodies (NAbs) against Classical swine fever virus (CSFV), is time-consuming. Here, a simplified neutralization test based on enhanced green fluorescent protein (EGFP)-tagged CSFV (EGFP-NT) was developed for direct detection of anti-CSFV NAbs without immunostaining. The relative sensitivity and specificity between EGFP-NT and NIFT or blocking ELISA were both 100%. The NAbs titers by EGFP-NT and the blocking rates by blocking ELISA showed a good correlation.
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