TMT-Based Proteomics Profiling of Bovine Liver Underscores Protein Markers of Anabolic Treatments.
anabolic treatments
beta-agonists
corticosteroids
parallel reaction monitoring
protein markers
Journal
Proteomics
ISSN: 1615-9861
Titre abrégé: Proteomics
Pays: Germany
ID NLM: 101092707
Informations de publication
Date de publication:
05 2019
05 2019
Historique:
received:
30
11
2018
revised:
22
02
2019
pubmed:
14
3
2019
medline:
30
4
2020
entrez:
14
3
2019
Statut:
ppublish
Résumé
Illegal use of growth promoter compounds in food production exposes consumers to health risk. Surveillance of such practices is based on direct detection of drugs or related metabolites by HPLC-MS/MS. Screening strategies focusing on indirect biological responses are considered promising tools to improve surveillance. In this study, an untargeted shotgun proteomics approach based on tandem mass tags (TMTs) is carried out to identify proteins altered in bovine liver after different anabolic treatments. Three controlled pharmacological treatments with dexamethasone, a combination of dexamethasone and clenbuterol, or a combination of sexual steroids (trenbolone and estradiol) are analyzed. Untargeted TMT analysis of liver digests by high resolution MS allowed for the relative quantification of proteins. Thanks to partial least squarediscriminant analysis, a set of proteins capable to classify animals treated with dexamethasone alone (11 proteins), or in combination with clenbuterol (13 proteins) are identified. No significant difference is found upon administration of sexual steroids. After relative quantification of candidate markers by parallel reaction monitoring (PRM), two predictive models are trained to validate protein markers. Finally, an independent animal set of control bulls and bulls treated with dexamethasone is analyzed by PRM to further validate a predictive model giving an accuracy of 100%.
Identifiants
pubmed: 30865377
doi: 10.1002/pmic.201800422
doi:
Substances chimiques
Biomarkers
0
Estrogens
0
Proteins
0
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
e1800422Informations de copyright
© 2019 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.