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Roudbari, Z., Sattaei Mokhtari, M., Barazandeh, A., seyedabadi, H. (2019). Identification of gene expression biomarkers to detect illicit use of steroid growth stimulators in slaughterhouses. , 32(3), 2-8. doi: 10.22092/vj.2018.123898.1518
Zahra Roudbari; Morteza Sattaei Mokhtari; Arsalan Barazandeh; hamid seyedabadi. "Identification of gene expression biomarkers to detect illicit use of steroid growth stimulators in slaughterhouses". , 32, 3, 2019, 2-8. doi: 10.22092/vj.2018.123898.1518
Roudbari, Z., Sattaei Mokhtari, M., Barazandeh, A., seyedabadi, H. (2019). 'Identification of gene expression biomarkers to detect illicit use of steroid growth stimulators in slaughterhouses', , 32(3), pp. 2-8. doi: 10.22092/vj.2018.123898.1518
Roudbari, Z., Sattaei Mokhtari, M., Barazandeh, A., seyedabadi, H. Identification of gene expression biomarkers to detect illicit use of steroid growth stimulators in slaughterhouses. , 2019; 32(3): 2-8. doi: 10.22092/vj.2018.123898.1518

Identification of gene expression biomarkers to detect illicit use of steroid growth stimulators in slaughterhouses

تحقیقات دامپزشکی و فرآورده‌های بیولوژیک
Article 1, Volume 32, Issue 3, September 2019, Pages 2-8    PDF (414.49 K)
Document Type: Full Research Paper
DOI: 10.22092/vj.2018.123898.1518
Authors
Zahra Roudbari1; Morteza Sattaei Mokhtari1; Arsalan Barazandeh1; hamid seyedabadi* 2
1Department of Animal Science, University of Jiroft, Jiroft, Iran
2Animal Science Research Institute of IRAN (ASRI), Agricultural Research Education and Extension Organization (AREEO),Karaj, Iran
Abstract
Consideration of the residual growth hormones in the carcass of slaughtered animals in the slaughterhouse is necessary as a potential risk to the health of the community. The present study aimed at identifying biomarkers to detect the illegal use of growth stimulating hormones in slaughter houses. For this purpose, the differential expression analysis of the genes in a gene expression profile in the Arrayexpress database with the accession number E-GEOD-12179 was
initially comprised of a comparison of the muscle tissue of the beef cattle receiving the growth stimulating hormone with beef cattle muscle, which did not receive any growth stimulating hormones. Among genes with different expression, target genes were identified by analyzing the statistical parameters of the network. The identified genes were MAPK1, EDN1, TGFB1, BMP4, and PPARA. Then the pathway analysis of the gene, generating and analyzing the expression network of genes based on target genes were performed using Pathvisio, Cytoscape and Pathway studio software. Analysis of pathways showed that beta-cell growth factor, growth factor receptor, and gonadotropin hormone release were significant. Also, the results of this analysis showed that these genes play a role in the regulation of cellular cell proliferation, differentiation, development, and process of muscle hypertrophy. Therefore, these genes have the potential for introduction as biomarkers of gene expression in relation to the detection of the use of growth promoters and provide new markers for detecting illegal use of growth stimulating hormones in slaughterhouses.
Keywords
Candidate biomarker; Fraud detection; Biology pathway; gene expression analysis
References

1. Cannizzo, F. T., S. Pegolo, P. Pregel, E. Manuali, S. Salamida, S. Divari, L. Bargelloni. 2016. Morphological Examination and Transcriptomic Profiling To Identify Prednisolone Treatment in Beef Cattle. Journal of Agricultural and Food Chemistry, 64(44), 8435–8446.
2. Carraro, L., S. Ferraresso, B. Cardazzo, C. Romualdi, C. Montesissa, F. Gottardo, L. Bargelloni. 2009. Expression profiling of skeletal muscle in young bulls treated with steroidal growth promoters. Physiological Genomics, 38(2), 138–148.
3. Courtheyn, D., L. Bizec, B. Brambilla, G. D. Brabander, H. F. Cobbaert, E. Wasch. 2002. Recent developments in the use and abuse of growth promoters. Analytica Chimica Acta, 473(1–2), 71–82.
4. Dehmer, M., L. A. Mueller and F. Emmert-Streib. 2013. Quantitative network measures as biomarkers for classifying prostate cancer disease states: a systems approach to diagnostic biomarkers. PloS One, 8(11), e77602.
5. Dvorak, J., A. Filistowicz, D. Hruska, P. Horal, I. Vrtková, A. Kúbek, S. Pomichal. 2002. The polymorphism of MSTN, PRNP and CSN3 genes in Charolais cattle. Animal Science Papers and Reports. Supplement, 1(20).
6. Hoffmann, J. M., J. R. Grünberg, C. Church, I. Elias, V. Palsdottir, J.O. Jansson, U. Smith. 2017. BMP4 gene therapy in mature mice reduces BAT activation but protects from obesity by browning subcutaneous adipose tissue. Cell Reports, 20(5), 1038–1049.
7. Jahng, J. W., N. Y. Kim, V. Ryu, S. B. Yoo, B.T. Kim, D.W. Kang and J.H Lee. 2008. Dexamethasone reduces food intake, weight gain and the hypothalamic 5-HT concentration and increases plasma leptin in rats. European Journal of Pharmacology, 581(1–2), 64–70.
8. Kim, H. J and D. Bar-Sagi. 2004. Modulation of signalling by Sprouty: a developing story. Nature Reviews Molecular Cell Biology, 5, 441.
9. Koltes, J. E., R. G. Tait Jr, E. R. Fritz, B. P. Mishra, A. L. Van Eenennaam, R. G. Mateescu, G. Duan. 2012. A systems-genetics analysis of bovine skeletal muscle iron content. J. Anim. Sci, 90(Suppl 3), 163.
10. Lee, S. H., C. Gondro, J. van der Werf, N. K. Kim, D. Lim, E. W. Park, J. M. Thompson. 2010. Use of a bovine genome array to identify new biological pathways for beef marbling in Hanwoo (Korean Cattle). BMC Genomics, 11(1), 1–11.
11. Nguyen, D. V., A. Bulak Arpat, N. Wang and R. J. Carroll. 2002. DNA microarray experiments: biological and technological aspects. Biometrics, 58(4), 701–717.
12. Pearson, G., F. Robinson, T. Beers Gibson, B. Xu, M. Karandikar, K. Berman and M. H. Cobb. 2001. Mitogen-activated protein (MAP) kinase pathways: regulation and physiological functions. Endocrine Reviews, 22(2), 153–183.
13. Pegolo, S., G. Gallina, C. Montesissa, F. Capolongo, S. Ferraresso, C. Pellizzari, L. Bargelloni. 2012. Transcriptomic markers meet the real world: finding diagnostic signatures of corticosteroid treatment in commercial beef samples. BMC Veterinary Research, 8(1), 205.
14. Piacentini, L., M. Gray, N. Y. Honbo, J. Chentoufi, M. Bergman and J. S. Karliner. 2000. Endothelin-1 Stimulates Cardiac Fibroblast Proliferation Through Activation of Protein Kinase C. Journal of Molecular and Cellular Cardiology, 32(4), 565–576.
15. Rijk, J. C. W., A. A. C. M. Peijnenburg, P. J. M. Hendriksen, J. M. Van Hende, M. J. Groot and M. W. F. Nielen. 2010. Feasibility of a liver transcriptomics approach to assess bovine treatment with the prohormone dehydroepiandrosterone (DHEA). BMC Veterinary Research, 6(1), 44.
16. Ritchie, M. E., B. Phipson, D. Wu, Y. Hu, C. W. Law, W. Shi and G. K. Smyth. 2015. limma powers differential expression analyses for RNA-sequencing and microarray studies. Nucleic Acids Research, 43(7), e47–e47.
17. Sachinidis, A., B. K. Fleischmann, E. Kolossov, M. Wartenberg, H. Sauer and J. Hescheler. 2003.Cardiac specific differentiation of mouse embryonic stem cells. Cardiovascular Research, 58(2), 278–291.

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