Evaluation of diagnostic methods for the Detection of Bovine Coronavirus and Rotavirus in feces of diarrheic calves


Published: Jul 9, 2022
Keywords:
calf diarrhoea rotavirus bovine coronavirus immunochromatography RT-PCR
Mohammad Hamedian-Asl
Amir Zakian
https://orcid.org/0000-0002-7535-4749
Saeid Azimpour
Farshid Davoodi
Human Kahroba
Abstract

The purpose of the present study was to evaluate the efficacy of Enzyme-Linked Immunosorbent Assay (ELISA), immunochromatographic (ICG), and reverse transcription-polymerase chain reaction (RT-PCR) methods for the detection of rotavirus (RV) and bovine coronavirus (BCV). Feces samples were collected from 90 diarrhoeic calves (male and female) up to one month of age and the immune response against RV and BCV infection was assessed by using ELISA (Ag and Ab), ICG, and RT-PCR. To determine the performance and accuracy of each diagnostic method in comparison to the diagnostic gold standard (RT-PCR) method, different statistical tests including receiver operating characteristic curve (ROC), concordance correlation were used. Results shown the prevalence of RV and BCV and RV+BCV according to RT-PCR were equal to 8.89 (95% CI: 6.64-10.07), 14.44 (95% CI: 11.23-6.90), and 2.22 (95% CI: 0.89-3.72), respectively. The best agreement and the highest sensitivity and specificity were obtained between the RT-PCR and AgELISA (100% and 94.3%), and then AbELISA (100% and 94.3%) was the second-best test and also the ICG test (95% and 94.3%) was less accurate method in comparison to ELISA methods for identifying RV and BCV, but a good correlation and concordance between ICG diagnostic techniques and RT-PCR were observed. To put it in a nutshell, our results suggest that the ICG assay may improve the ability to diagnose calves RV and BCV infections accurately and quickly. Promoting rapid IGG kit with higher accuracy in early diagnosis of the cause of diarrhoea plays an important role in its therapeutic regimes, management protocols, and control procedures, but ELISA is preferred due to more precise results.

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Author Biography
Amir Zakian, Department of Clinical Sciences, Faculty of Veterinary Medicine

Assistant Professor

Large Animal Internal Medicine

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