Literature DB >> 22861009

RNA-sequencing as useful screening tool in the combat against the misuse of anabolic agents.

Irmgard Riedmaier1, Vladimir Benes, Jonathon Blake, Nancy Bretschneider, Christian Zinser, Christiane Becker, Heinrich H D Meyer, Michael W Pfaffl.   

Abstract

The abuse of anabolic substances in animal husbandry is forbidden within the EU and well controlled by detecting substance residues in different matrices. The application of newly designed drugs or substance cocktails represents big problems. Therefore developing sensitive test methods is important. The analysis of physiological changes caused by the use of anabolic agents on the molecular level, for example, by quantifying gene expression response, is a new approach to develop such screening methods. A novel technology for holistic gene expression analysis is RNA sequencing. In this study, the potential of this high-throughput method for the identification of biomarkers was evaluated. The effect of trenbolone acetate plus estradiol on gene expression in liver from Nguni heifers was analyzed with RNA sequencing. The expression of 40 selected candidate genes was verified via RT-qPCR, whereby 20 of these genes were significantly regulated. To extract the intended information from these regulated genes, biostatistical tools for pattern recognition were applied and resulted in a clear separation of the treatment groups. Those candidate genes could be verified in boars and in calves treated with anabolic substances. These results show the potential of RNA sequencing to screen for biomarker candidates to detect the abuse of anabolics. The verification of these biomarkers in boars and calves leads to the assumption that gene expression biomarkers are independent of breed or even species and that biomarkers, identified in farm animals could also act as potential biomarker candidates to detect the abuse of anabolic substances in human sports.

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Year:  2012        PMID: 22861009     DOI: 10.1021/ac301433d

Source DB:  PubMed          Journal:  Anal Chem        ISSN: 0003-2700            Impact factor:   6.986


  5 in total

1.  Identification of transcriptional biomarkers by RNA-sequencing for improved detection of β2-agonists abuse in goat skeletal muscle.

Authors:  Luyao Zhao; Shuming Yang; Yongyou Cheng; Can Hou; Xinyong You; Jie Zhao; Ying Zhang; Wenjing He
Journal:  PLoS One       Date:  2017-07-26       Impact factor: 3.240

2.  New surveillance concepts in food safety in meat producing animals: the advantage of high throughput 'omics' technologies - A review.

Authors:  Michael W Pfaffl; Irmgard Riedmaier-Sprenzel
Journal:  Asian-Australas J Anim Sci       Date:  2018-05-31       Impact factor: 2.509

3.  Transcriptomic markers meet the real world: finding diagnostic signatures of corticosteroid treatment in commercial beef samples.

Authors:  Sara Pegolo; Guglielmo Gallina; Clara Montesissa; Francesca Capolongo; Serena Ferraresso; Caterina Pellizzari; Lisa Poppi; Massimo Castagnaro; Luca Bargelloni
Journal:  BMC Vet Res       Date:  2012-10-30       Impact factor: 2.741

4.  The potential of circulating extracellular small RNAs (smexRNA) in veterinary diagnostics-Identifying biomarker signatures by multivariate data analysis.

Authors:  Spornraft Melanie; Kirchner Benedikt; Michael W Pfaffl; Riedmaier Irmgard
Journal:  Biomol Detect Quantif       Date:  2015-09-19

5.  Changes in the microRNA expression profile during blood storage.

Authors:  Anna Haberberger; Benedikt Kirchner; Irmgard Riedmaier; Reinhard Henschler; Christian Wichmann; Raymund Buhmann; Michael W Pfaffl
Journal:  BMJ Open Sport Exerc Med       Date:  2018-07-05
  5 in total

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