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)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/7790872
- author
- Stella, Roberto
; Biancotto, Giancarlo
; Arrigoni, Giorgio
; Barrucci, Federica
; Angeletti, Roberto
and James, Peter
LU
- organization
- publishing date
- 2015
- 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 Inc.
- external identifiers
-
- wos:000357267700021
- scopus:84933676047
- pmid:25757884
- 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
- 2016-04-01 10:19:37
- date last changed
- 2023-11-09 18:06:26
@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}},
keywords = {{Animal proteomics; Bovine; Illicit treatments; Selected-reaction; monitoring; Steroids; Tandem mass tag quantification}},
language = {{eng}},
number = {{13}},
pages = {{2332--2341}},
publisher = {{John Wiley & Sons Inc.}},
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}},
doi = {{10.1002/pmic.201400468}},
volume = {{15}},
year = {{2015}},
}