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Proteomics for the detection of indirect markers of steroids treatment in bovine muscle

Stella, Roberto; Biancotto, Giancarlo; Arrigoni, Giorgio; Barrucci, Federica; Angeletti, Roberto and James, Peter LU (2015) In Proteomics 15(13). p.2332-2341
Abstract
Despite the ban by the European Union, anabolic steroids might still be illicitly employed in bovine meat production. The surveillance of misuse of such potentially harmful molecules is necessary to guarantee consumers' health. Analytical methods for drug residue control are based on LC-MS/MS, but their efficacy can be hindered due to undetectable residual concentrations as a result of low-dosage treatments. Screening methods based on the recognition of indirect biological effects of growth promoters' administration, such as the alteration of protein expression, can improve the efficacy of surveillance. The present study was aimed at identifying modifications in the muscle protein expression pattern between bulls treated with an ear... (More)
Despite the ban by the European Union, anabolic steroids might still be illicitly employed in bovine meat production. The surveillance of misuse of such potentially harmful molecules is necessary to guarantee consumers' health. Analytical methods for drug residue control are based on LC-MS/MS, but their efficacy can be hindered due to undetectable residual concentrations as a result of low-dosage treatments. Screening methods based on the recognition of indirect biological effects of growth promoters' administration, such as the alteration of protein expression, can improve the efficacy of surveillance. The present study was aimed at identifying modifications in the muscle protein expression pattern between bulls treated with an ear implant (Revalor-XS (R)) containing trenbolone acetate (200 mg) and estradiol (40 mg), and untreated animals. The analysis of skeletal muscle was carried out using a tandem mass tags shotgun proteomics approach. We defined 28 candidate protein markers with a significantly altered expression induced by steroids administration. A subset of 18 candidate markers was validated by SRM and allowed to build a predictive model based on partial least square discriminant analysis. Our findings confirm the effectiveness of the proteomics approach as potential tool to overcome analytical limitations of drug residue monitoring. (Less)
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author
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
Animal proteomics, Bovine, Illicit treatments, Selected-reaction, monitoring, Steroids, Tandem mass tag quantification
in
Proteomics
volume
15
issue
13
pages
2332 - 2341
publisher
John Wiley & Sons
external identifiers
  • wos:000357267700021
  • scopus:84933676047
ISSN
1615-9861
DOI
10.1002/pmic.201400468
language
English
LU publication?
yes
id
0db84538-6958-4f4c-8501-ed9ba7e840c1 (old id 7790872)
date added to LUP
2015-09-03 09:30:17
date last changed
2017-07-30 03:11:39
@article{0db84538-6958-4f4c-8501-ed9ba7e840c1,
  abstract     = {Despite the ban by the European Union, anabolic steroids might still be illicitly employed in bovine meat production. The surveillance of misuse of such potentially harmful molecules is necessary to guarantee consumers' health. Analytical methods for drug residue control are based on LC-MS/MS, but their efficacy can be hindered due to undetectable residual concentrations as a result of low-dosage treatments. Screening methods based on the recognition of indirect biological effects of growth promoters' administration, such as the alteration of protein expression, can improve the efficacy of surveillance. The present study was aimed at identifying modifications in the muscle protein expression pattern between bulls treated with an ear implant (Revalor-XS (R)) containing trenbolone acetate (200 mg) and estradiol (40 mg), and untreated animals. The analysis of skeletal muscle was carried out using a tandem mass tags shotgun proteomics approach. We defined 28 candidate protein markers with a significantly altered expression induced by steroids administration. A subset of 18 candidate markers was validated by SRM and allowed to build a predictive model based on partial least square discriminant analysis. Our findings confirm the effectiveness of the proteomics approach as potential tool to overcome analytical limitations of drug residue monitoring.},
  author       = {Stella, Roberto and Biancotto, Giancarlo and Arrigoni, Giorgio and Barrucci, Federica and Angeletti, Roberto and James, Peter},
  issn         = {1615-9861},
  keyword      = {Animal proteomics,Bovine,Illicit treatments,Selected-reaction,monitoring,Steroids,Tandem mass tag quantification},
  language     = {eng},
  number       = {13},
  pages        = {2332--2341},
  publisher    = {John Wiley & Sons},
  series       = {Proteomics},
  title        = {Proteomics for the detection of indirect markers of steroids treatment in bovine muscle},
  url          = {http://dx.doi.org/10.1002/pmic.201400468},
  volume       = {15},
  year         = {2015},
}