Literature DB >> 21898858

The analysis of the transcriptome as a new approach for biomarker development to trace the abuse of anabolic steroid hormones.

Irmgard Riedmaier1, Michael W Pfaffl, Heinrich H D Meyer.   

Abstract

The abuse of anabolic steroid hormones in human sports and animal husbandry is an ubiquitous problem and therefore a tight control program in both areas is very important. Within these control programs, hormone residues are detected by immunoassays or chromatographical methods in combination with mass spectrometry. With these methods, all known substances can be detected; yet new xenobiotic growth promoters and new ways of application are difficult to detect. Therefore it is important to develop new sensitive screening methods to enable an efficient control for misused anabolic substances. The detection of their physiological action is a promising approach. Anabolic steroid hormones directly influence the expression of specific genes and thus the analysis of the transcriptome of different target tissues and matrices is of great interest. This review describes our recent efforts made concerning the analysis of gene expression changes in different tissues, different species and under different anabolic treatments.
Copyright © 2011 John Wiley & Sons, Ltd.

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Year:  2011        PMID: 21898858     DOI: 10.1002/dta.304

Source DB:  PubMed          Journal:  Drug Test Anal        ISSN: 1942-7603            Impact factor:   3.345


  2 in total

1.  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

2.  Tracing Recombinant Bovine Somatotropin Ab(Use) Through Gene Expression in Blood, Hair Follicles, and Milk Somatic Cells: A Matrix Comparison.

Authors:  Alexandre Lamas; Patricia Regal; Beatriz Vazquez; José Manuel Miranda; Alberto Cepeda; Carlos Manuel Franco
Journal:  Molecules       Date:  2018-07-13       Impact factor: 4.411

  2 in total

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