Expression analysis of androgen-responsive genes in the prostate of veal calves treated with anabolic hormones

被引:40
|
作者
Toffolatti, L
Gastaldo, LR
Patarnello, T
Romualdi, C
Merlanti, R
Montesissa, C
Poppi, L
Castagnaro, M
Bargelloni, LB
机构
[1] Univ Padua, Dipartimento Sanita Pubbl Patol Comparata & Igien, I-35020 Legnaro, PD, Italy
[2] Univ Padua, Dipartimento Biol, I-35131 Padua, Italy
关键词
anabolic steroid hormones; veal calves; prostate; androgen responsive genes; real-time RT-PCR;
D O I
10.1016/j.domaniend.2005.05.008
中图分类号
S8 [畜牧、 动物医学、狩猎、蚕、蜂];
学科分类号
0905 ;
摘要
In order to identify indirect molecular biomarkers of anabolic treatments in veal calves, an animal experiment was performed using two combinations of growth promoters (consisting of boldenone undecylenate and estradiol benzoate, and of testosterone enantate and estradiol benzoate). We selected a set of 12 genes that are known to be androgen responsive in other mammalian species. The expression profile of this set of genes was analysed on prostate samples of veal calves using a real-time RTPCR approach. For each selected gene the corresponding bovine sequence was obtained and a gene specific real-time assay was optimised and validated. The amplification was shown to be highly specific, linear and efficient. High reproducibility (< 1%) and low-test variability (< 2.5%) were also been achieved. Messenger RNA levels were quantified in prostate samples, non-parametric analysis of variance showed significant up-regulation of three genes (MAF, ESR1 and AR) and significant down-regulation of four genes (HMGCS 1, HPGD, DBI, and LIM) in treated samples when compared with untreated controls. To assess the possibility of identifying hormone-treated animals by molecular means we performed a discriminant analysis that was effective in classifying treated and non-treated samples with an accuracy of 93%. Our results indicate that identification of treatment with steroid hormones in veal calves by means of gene expression analysis is a feasible approach and could be improved increasing both the number of genes and the number of controls analysed. (c) 2005 Elsevier Inc. All rights reserved.
引用
收藏
页码:38 / 55
页数:18
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