TMT-Based Proteomics Profiling of Bovine Liver Underscores Protein Markers of Anabolic Treatments.


Journal

Proteomics
ISSN: 1615-9861
Titre abrégé: Proteomics
Pays: Germany
ID NLM: 101092707

Informations de publication

Date de publication:
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

e1800422

Informations de copyright

© 2019 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

Auteurs

Giancarlo Biancotto (G)

Department of Chemistry, Istituto Zooprofilattico Sperimentale delle Venezie, 35020, Legnaro PD, Italy.

Davide Bovo (D)

Department of Chemistry, Istituto Zooprofilattico Sperimentale delle Venezie, 35020, Legnaro PD, Italy.

Eleonora Mastrorilli (E)

Department of Food Safety, Istituto Zooprofilattico Sperimentale delle Venezie, 35020, Legnaro PD, Italy.

Elisabetta Manuali (E)

Istituto Zooprofilattico Sperimentale dell'Umbria e delle Marche "Togo Rosati", 06126, Perugia, Italy.

Roberto Angeletti (R)

Department of Chemistry, Istituto Zooprofilattico Sperimentale delle Venezie, 35020, Legnaro PD, Italy.

Roberto Stella (R)

Department of Chemistry, Istituto Zooprofilattico Sperimentale delle Venezie, 35020, Legnaro PD, Italy.

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Classifications MeSH