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D. Nowicka, M. Czopowicz, M. Mickiewicz, O. Szaluś-Jordanow, L. Witkowski, E. Bagnicka and J. Kaba

Abstract

Diagnostic performance of ID Screen® MVV-CAEV Indirect Screening ELISA in identifying goats infected with small ruminant lentiviruses (SRLV) was evaluated. In total 299 serum samples from the collection of the Laboratory of Veterinary Epidemiology and Economics - 109 truly positive and 190 truly negative - were used. To be enrolled in the study a serum sample had to come from at least 2 year-old goat which had reacted identically in two serological surveys preceding sample collection and was kept in a herd of stable serological status confirmed at least twice during preceding 5 years. Moreover, in seropositive herds at least 20% of goats had to be serologically positive at the moment when the serum sample was collected for the study. The test proved to have high accuracy. Area under curve was 98.8% (95% CI: 97.5%, 100%). Diagnostic performance of the test was almost identical (Youlden’s index of 90%, sensitivity >90% and specificity >95%) within a fairly wide range of cut-off values - between 20% and 60%. At manufacturer’s cut-off of 50% sensitivity and specificity were 91.7% (95% CI: 85.0%, 95.6%) and 98.9% (95% CI: 96.2%, 99.7%), respectively. For this cut-off positive likelihood ratio was 87 (95% CI: 22, 346) and negative likelihood ratio was 0.08 (95% CI: 0.04, 0.16). In conclusion, the results of this study indicate that ID Screen® MVV-CAEV Indirect Screening ELISA is a highly accurate diagnostic test for SRLV infection.

Open access

Joanna Pławińska-Czarnak, Joanna Zarzyńska, Janusz Bogdan, Alicja Majewska, Marek Karwański, Magdalena Kizerwetter-Świda, Jarosław Kaba, Krzysztof Anusz and Emilia Bagnicka

Abstract

The goat (Capra hircus) is a perfect animal model for analyzing the transcriptome of milk somatic cells (MSCs), as sufficient numbers of somatic cells in goat milk, i.e., exfoliated epithelial cells, can be obtained using noninvasive methods. RNA integrity and purity are the first and most important parameters qualifying samples for transcriptomic tests and next-generation sequencing, as RNA quality influences experimental results. The aim of this study was to optimize a method for obtaining high-quality RNA from goat MSCs, irrespective of effects like breed, lactation stage, health status (e.g., with or without small ruminant lentivirus [SRLV] infection), or number of somatic cells. Milk samples were obtained from goats of two Polish breeds in various lactation stages and in different parities, and from goats infected and not infected with SRLV. Altogether, 412 MSC samples were examined: 206 using method A with fenozol and 206 using method B with QIAzol. Though the overall purity (measured as absorbance ratios at 260 nm/280 nm and 260 nm/230 nm) of the RNA material was comparable, the average yield of RNA isolated using method A was 11.9 µg, while method B’s average yield was 29.9 µg. Moreover, method B resulted good quality RNA suitable for transcriptome analysis. Results were confirmed by RT-qPCR, using 18S rRNA and RPLP0 as the reference genes. The application of our modified treatment method was successful in obtaining high-integrity samples for transcriptomic or next-generation sequencing analysis. Using a 400 mL milk sample cooled in ice directly after milking, securing the cooling chain process from milking to MSC isolation, and applying method B to isolate RNA, we obtained good RNA quality irrespective of the goats’ breed, lactation stage, parity, milk yield, SRLV infection, and even milk yield and number of somatic cells in milk.