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Circulating extracellular miR-22, miR-155, and miR-365 as candidate biomarkers to assess transport-related stress in turkeys

Published online by Cambridge University Press:  13 January 2016

C. Lecchi ,
A. T. Marques ,
M. Redegalli ,
S. Meani ,
L. J. Vinco ,
V. Bronzo  and
F. Ceciliani
C. Lecchi*
Affiliation:
Department of Veterinary Science and Public Health, Università degli Studi di Milano, Via Celoria 10, 20133 Milan, Italy
A. T. Marques
Affiliation:
Department of Veterinary Science and Public Health, Università degli Studi di Milano, Via Celoria 10, 20133 Milan, Italy
M. Redegalli
Affiliation:
Department of Veterinary Science and Public Health, Università degli Studi di Milano, Via Celoria 10, 20133 Milan, Italy
S. Meani
Affiliation:
Istituto Zooprofilattico Sperimentale della Lombardia e dell’Emilia Romagna, Via Bianchi 9, 25124 Brescia, Italy
L. J. Vinco
Affiliation:
Istituto Zooprofilattico Sperimentale della Lombardia e dell’Emilia Romagna, Via Bianchi 9, 25124 Brescia, Italy
V. Bronzo
Affiliation:
Department of Health, Animal Science and Food Safety, Università degli Studi di Milano, Via Celoria 10, 20133 Milan, Italy
F. Ceciliani
Affiliation:
Department of Veterinary Science and Public Health, Università degli Studi di Milano, Via Celoria 10, 20133 Milan, Italy
*
†E-mail: [email protected]
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Abstract

MicroRNA (miRNA) have been identified in circulating blood and might have the potential to be used as biomarkers for several pathophysiological conditions. To identify miRNA that are altered following stress events, turkeys (Meleagris gallopavo) were subjected to 2 h of road transportation. The expression levels of five circulating miRNA, namely miR-22, miR-155-5p, miR-181a-3p, miR-204 and miR-365-3p, were detected and assessed by quantitative polymerase chain reaction using TaqMan® probes, as potential biomarkers of stress. The areas under the receiver operating characteristic curves were then used to evaluate the diagnostic performance of miRNA. A panel of three stress-responsive miRNA, miR-22, miR-155 and miR-365 were identified; their expression levels were significantly higher after road transportation and the area under the curve (AUC) were 0.763, 0.71 and 0.704, respectively. Combining the three miRNA a specificity similar to the one found for the three miRNA separately was found. The AUC of the weighted average of the three miRNA was 0.763. This preliminary study suggests that the expression levels of circulating miR-22, miR-155 and miR-365 are increased during transport-related stress and that they may have diagnostic value to discriminate between stressed- and unstressed animals.

Keywords

circulating miRNAturkeystresswelfarebiomarkers
Type
Short Communication
Information
animal , Volume 10 , Issue 7 , July 2016 , pp. 1213 - 1217
Copyright
© The Animal Consortium 2016 

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References

Ahanda, ML, Zerjal, T, Dhorne-Pollet, S, Rau, A, Cooksey, A and Giuffra, E 2014. Impact of the genetic background on the composition of the chicken plasma MiRNome in response to a stress. PLoS One 9, e114598.CrossRefGoogle ScholarPubMed
Andersen, HH, Duroux, M and Gazerani, P 2014. MicroRNAs as modulators and biomarkers of inflammatory and neuropathic pain conditions. Neurobiology of Disease 71, 159–168.CrossRefGoogle ScholarPubMed
Botreau, R, Bonde, M, Butterworth, A, Perny, P, Bracke, MB, Capdeville, J and Veissier, I 2007. Aggregation of measures to produce an overall assessment of animal welfare. Part 1: a review of existing methods. Animal 1, 1179–1187.CrossRefGoogle ScholarPubMed
Elton, TS, Selemon, H, Elton, SM and Parinandi, NL 2013. Regulation of the MIR155 host gene in physiological and pathological processes. Gene 532, 1–12.CrossRefGoogle ScholarPubMed
Kocerha, J, Dwivedi, Y and Brennand, KJ 2015. Noncoding RNAs and neurobehavioral mechanisms in psychiatric disease. Molecular Psychiatry 20, 677–684.CrossRefGoogle ScholarPubMed
Liang, X, Liu, Y, Mei, S, Zhang, M, Xin, J, Zhang, Y and Yang, R 2015. MicroRNA-22 impairs anti-tumor ability of dendritic cells by targeting p38. PLoS One 10, e0121510.CrossRefGoogle ScholarPubMed
Marchewka, J, Watanabe, TTN, Ferrante, V and Estevez, I 2013. Review of the social and environmental factors affecting the behavior and welfare of turkeys (Meleagris gallopavo). Poultry Science 92, 1467–1473.CrossRefGoogle ScholarPubMed
Pineiro, M, Pineiro, C, Carpintero, R, Morales, J, Campbell, FM, Eckersall, PD, Toussaint, MJM and Lampreave, F 2007. Characterisation of the pig acute phase protein response to road transport. Veterinary Journal 173, 669–674.CrossRefGoogle ScholarPubMed
Terlouw, EM, Arnould, C, Auperin, B, Berri, C, Le Bihan-Duval, E, Deiss, V, Lefèvre, F, Lensink, BJ and Mounier, L 2008. Pre-slaughter conditions, animal stress and welfare: current status and possible future research. Animal 2, 1501–1517.CrossRefGoogle ScholarPubMed
Zhou, M, Liu, W, Ma, S, Cao, H, Peng, X, Guo, L, Zhou, X, Zheng, L, Guo, L, Wan, M, Shi, W, He, Y, Lu, C, Jiang, L, Ou, C, Guo, Y and Ding, Z 2013. A novel onco-miR-365 induces cutaneous squamous cell carcinoma. Carcinogenesis 34, 1653–1659.CrossRefGoogle ScholarPubMed