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Milk microRNA-146a as a potential biomarker in bovine tuberculosis

Published online by Cambridge University Press:  22 May 2018

Marco Iannaccone*
Affiliation:
Department of Agriculture, University of Naples Federico II, via Università 100, 80055 Portici, Napoli, Italy
Gianfranco Cosenza*
Affiliation:
Department of Agriculture, University of Naples Federico II, via Università 100, 80055 Portici, Napoli, Italy
Alfredo Pauciullo
Affiliation:
Department of Agricultural, Forest and Food Science, University of Torino, Grugliasco (TO), Italy
Francesca Garofalo
Affiliation:
Department of Food Microbiology, Istituto Zooprofilattico Sperimentale del Mezzogiorno, Portici, Naples, Italy
Yolande T Proroga
Affiliation:
Department of Food Microbiology, Istituto Zooprofilattico Sperimentale del Mezzogiorno, Portici, Naples, Italy
Federico Capuano
Affiliation:
Department of Food Microbiology, Istituto Zooprofilattico Sperimentale del Mezzogiorno, Portici, Naples, Italy
Rosanna Capparelli
Affiliation:
Department of Agriculture, University of Naples Federico II, via Università 100, 80055 Portici, Napoli, Italy
*
*For correspondence; e-mail: m.iannaccone@unina.it; giacosen@unina.it
*For correspondence; e-mail: m.iannaccone@unina.it; giacosen@unina.it

Abstract

In this research communication we exploited the potential use of milk microRNAs (miRs) as biomarkers for bovine tuberculosis (bTB). bTB is a zoonotic disease caused by Mycobacterium bovis which affects animal health, influencing herd economic sustainability. Diagnosis is based on skin delayed-type hypersensitivity reaction and quantification of interferon gamma but both techniques are influenced by several confounding factors. Thus, new methods for early diagnosis are required. In this context, microRNAs have been used as promising biomarkers for both infectious and non-infectious diseases. To determine the possible involvement of microRNAs in bTB, we analysed the expression of four immune-related miRs in 200 cows grouped in cases and controls with respect to positivity to tuberculosis. The analysis showed a different magnitude of expression in the groups indicating that active tuberculosis could influence miRs expression. We used expression values of miR-146a, the highest differentially expressed miR, for Receiver operating characteristic (ROC) curve analysis. In order to determine a test cut-off value for miR-146a expression that would differentiate cases and controls, a value for the miR-146a expression higher than 8 was selected as this gave a test specificity and sensitivity of 80·0% and 86·0% respectively. These values confirm the possibility of using miR-146a as a milk prognostic biomarker for bovine tuberculosis.

Type
Research Article
Copyright
Copyright © Hannah Dairy Research Foundation 2018 

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