Changes in the miRNA profile under the influence of anabolic steroids in bovine liver
Changes in the miRNA profile under the influence of anabolic steroids in bovine liver
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DOI：
10.1039/c0an00703j
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发表时间：
2011-01-01
期刊：
影响因子：
4.2
通讯作者：
Meyer, Heinrich H. D.
中科院分区：
文献类型：
--
作者：
Becker, Christiane;Riedmaier, Irmgard;Meyer, Heinrich H. D.
MiRNAs是调节性的RNA分子。在过去的10年里，随着miRNAs在糖尿病或癌症等几种人类疾病中显示出特定的表达模式，人们对miRNAs的分析兴趣上升，特别是在临床诊断方面。因此，miRNA图谱有望作为早期诊断的生物标志物。建立生物标志物的想法也出现在兽药分析中，例如在非法使用合成代谢药物的监测中。转录组学是检测合成代谢药物滥用的一种很有前途的方法。然而，在临床诊断中，miRNA表达模式已显示出其相对于mRNA模式的优越性。因此，应该研究合成类固醇对牛肝脏miRNA表达的影响，并验证其表达模式，以此作为治疗的生物标志物。将18头小母牛平分为对照组和试验组，分别植入TBA和E2，进行动物实验。使用聚合酶链式反应阵列筛选肝脏样本中miRNA的表达。通过单次定量聚合酶链式反应验证11个显著的miRNAs的表达。在此，可以发现以下表达模式：miR-29c和miR-103上调，miR-34a、miR-181c、miR-20a和miR-15a下调(p<；0.05)。使用主成分分析(PCA)，当综合miRNA和mRNA的基因表达结果时，可以明显区分对照组和治疗组。因此，不同转录靶点(mRNA+miRNA)的组合可能是寻找有效表达模式用于合成代谢治疗筛选的一种有前途的方法。
miRNAs are regulatory RNA molecules. The analytical interest rose over the past 10 years especially in clinical diagnostics as miRNAs show specific expression patterns in several human diseases like diabetes or cancer. Therefore, it is expected that miRNA profiles might be used as biomarkers in early diagnosis. The idea of establishing biomarkers is also present in veterinary drug analysis, e. g. in the surveillance of illegal use of anabolics. Transcriptomics is a promising approach in the detection of anabolics misuse. However, miRNA expression patterns have shown their superiority over mRNA patterns in clinical diagnostics. Thus, the influence of anabolic steroids on miRNA expression in bovine liver should be investigated and an expression pattern should be validated, which might be used as a treatment biomarker. An animal experiment was conducted with 18 heifers equally allocated to a control and a treatment group, which was implanted with TBA plus E2. Liver samples were screened for miRNA expression using PCR arrays. Expression of 11 prominent miRNAs was validated via single assay qPCR. Herein, the following expression pattern could be found with an up-regulation of miR-29c and miR-103 and a down-regulation of miR-34a, miR-181c, miR-20a and miR-15a (p < 0.05 each). Using principal components analysis (PCA), the control group could clearly be distinguished from the treatment group, when integrating gene expression results from both miRNA and mRNA. So, the combination of different transcribed targets (mRNA plus miRNA) might be a promising approach to find a valid expression pattern to be used for anabolic treatment screening.