TMT‐Based Proteomics Profiling of Bovine Liver Underscores Protein Markers of Anabolic Treatments. Issue 9 (18th April 2019)

• Record Type: Journal Article
• Authors: Biancotto, Giancarlo; Bovo, Davide; Mastrorilli, Eleonora; Manuali, Elisabetta; Angeletti, Roberto; Stella, Roberto
• Is Part Of: Proteomics. Volume 19:Issue 9(2019)
• Page Start: n/a
• Page End: n/a
• Publication Date: 2019-04-18
• Subjects: anabolic treatments -- beta‐agonists -- corticosteroids -- parallel reaction monitoring -- protein markers; Proteins -- Separation -- Periodicals; Bioinformatics -- Periodicals; Proteomics -- Periodicals; Genomes -- Periodicals; Molecular genetics -- Periodicals; 572.605
• DOI: 10.1002/pmic.201800422
• Languages: English
• ISSNs: 1615-9853

Abstract

Abstract: 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%.