4.7 Article

Identification of potential gene expression biomarkers for the surveillance of anabolic agents in bovine blood cells

期刊

ANALYTICA CHIMICA ACTA
卷 638, 期 1, 页码 106-113

出版社

ELSEVIER SCIENCE BV
DOI: 10.1016/j.aca.2009.02.014

关键词

Anabolic agents; Trenbolone acetate; Estradiol; Biomarker; Gene expression; Quantitative real time reverse transcription polymerase chain reaction (qRT-PCR); Principal components analysis

资金

  1. Onderstepoort Veterinary Institute, Pretoria, Republic South Africa

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In the EU, the use of anabolic steroids in food producing animals has been forbidden since 1988. The routine methods used in practice are based on the detection of hormonal residues. To overcome these routine methods, growth-promoting agents are sometimes administered at concentrations below the detection limit and new anabolic substances are designed. Therefore, new monitoring systems are needed to overcome the misuse of anabolic agents in meat production. In this study, a new monitoring system was applied: the quantification of mRNA gene expression changes by quantitative leaf time reverse transcription polymerase chain reaction (qRT-PCR). Blood was selected as ideal tissue for biomarker screening. From the literature, it is known that steroid hormones affect in RNA gene expression of the different blood cells. which call easily be taken from the living animal. In an animal trial, 18 Nguni heifers were separated to two groups of nine animals. One group served as untreated control and the other group was treated with combination of trenbolone acetate plus estradiol for 39 days in order to allow the detection of the effect on mRNA expression in blood at three time points. Candidate genes used for developing a biomarker pattern were chosen by screening the actual literature for anabolic effects on blood cells. It could be demonstrated that the combination of trenbolone acetate plus estradiol significantly influences mRNA expression of the steroid receptors (ER-alpha and GR-alpha), the apotosis regulator Fas, the proinflammatory interleukins IL-1 alpha, IL-1 beta and IL-6 and MHCII, CK, MTPN, RBM5 and Actin-beta. Advanced statistical analysis by Principal Components Analysis (PCA) indicated that these genes represent potential biomarkers for this hormone combination in whole blood. (c) 2009 Elseviei B.V. All lights reserved.

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