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.