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Transcriptional Biomarkers and Immunohistochemistry for Detection of Illicit Dexamethasone Administration in Veal Calves

Corticosteroids such as Dexamethasone (DEX) are commonly licensed for therapy in meat animals due to their known pharmacological properties. However, their misuse aimed to achieve anabolic effects is often found by National Residues Control Plans. The setup of a complementary “biomarker based” metho...

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Autores principales: Benedetto, Alessandro, Biasibetti, Elena, Robotti, Elisa, Marengo, Emilio, Audino, Valentina, Bozzetta, Elena, Pezzolato, Marzia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9222442/
https://www.ncbi.nlm.nih.gov/pubmed/35742008
http://dx.doi.org/10.3390/foods11121810
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author Benedetto, Alessandro
Biasibetti, Elena
Robotti, Elisa
Marengo, Emilio
Audino, Valentina
Bozzetta, Elena
Pezzolato, Marzia
author_facet Benedetto, Alessandro
Biasibetti, Elena
Robotti, Elisa
Marengo, Emilio
Audino, Valentina
Bozzetta, Elena
Pezzolato, Marzia
author_sort Benedetto, Alessandro
collection PubMed
description Corticosteroids such as Dexamethasone (DEX) are commonly licensed for therapy in meat animals due to their known pharmacological properties. However, their misuse aimed to achieve anabolic effects is often found by National Residues Control Plans. The setup of a complementary “biomarker based” methods to unveil such illicit practices is encouraged by current European legislation. In this study, the combined use of molecular and histological quantitative techniques was applied on formalin fixed paraffin embedded (FFPE) muscle samples to assess the effects of illicit DEX treatment on veal calves. A PCR array, including 28 transcriptional biomarkers related to DEX exposure, was combined with a histochemical analysis of muscle fiber. An analysis based on unsupervised (PCA) and supervised (PLS-DA and Kohonen’s SOM) methods, was applied in order to define multivariate models able to classify animals suspected of illicit treatment by DEX. According to the conventional univariate approach, a not-significant reduction in type I fibres was recorded in the DEX-treated group, and only 12 out of 28 targeted genes maintained their expected differential expression, confirming the technical limitations of a quantitative analysis on FFPE samples. However, the multivariate models developed highlighted the possibility to establish complementary screening strategies, particularly when based on transcriptional biomarkers characterised by low expression profiles.
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spelling pubmed-92224422022-06-24 Transcriptional Biomarkers and Immunohistochemistry for Detection of Illicit Dexamethasone Administration in Veal Calves Benedetto, Alessandro Biasibetti, Elena Robotti, Elisa Marengo, Emilio Audino, Valentina Bozzetta, Elena Pezzolato, Marzia Foods Article Corticosteroids such as Dexamethasone (DEX) are commonly licensed for therapy in meat animals due to their known pharmacological properties. However, their misuse aimed to achieve anabolic effects is often found by National Residues Control Plans. The setup of a complementary “biomarker based” methods to unveil such illicit practices is encouraged by current European legislation. In this study, the combined use of molecular and histological quantitative techniques was applied on formalin fixed paraffin embedded (FFPE) muscle samples to assess the effects of illicit DEX treatment on veal calves. A PCR array, including 28 transcriptional biomarkers related to DEX exposure, was combined with a histochemical analysis of muscle fiber. An analysis based on unsupervised (PCA) and supervised (PLS-DA and Kohonen’s SOM) methods, was applied in order to define multivariate models able to classify animals suspected of illicit treatment by DEX. According to the conventional univariate approach, a not-significant reduction in type I fibres was recorded in the DEX-treated group, and only 12 out of 28 targeted genes maintained their expected differential expression, confirming the technical limitations of a quantitative analysis on FFPE samples. However, the multivariate models developed highlighted the possibility to establish complementary screening strategies, particularly when based on transcriptional biomarkers characterised by low expression profiles. MDPI 2022-06-20 /pmc/articles/PMC9222442/ /pubmed/35742008 http://dx.doi.org/10.3390/foods11121810 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Benedetto, Alessandro
Biasibetti, Elena
Robotti, Elisa
Marengo, Emilio
Audino, Valentina
Bozzetta, Elena
Pezzolato, Marzia
Transcriptional Biomarkers and Immunohistochemistry for Detection of Illicit Dexamethasone Administration in Veal Calves
title Transcriptional Biomarkers and Immunohistochemistry for Detection of Illicit Dexamethasone Administration in Veal Calves
title_full Transcriptional Biomarkers and Immunohistochemistry for Detection of Illicit Dexamethasone Administration in Veal Calves
title_fullStr Transcriptional Biomarkers and Immunohistochemistry for Detection of Illicit Dexamethasone Administration in Veal Calves
title_full_unstemmed Transcriptional Biomarkers and Immunohistochemistry for Detection of Illicit Dexamethasone Administration in Veal Calves
title_short Transcriptional Biomarkers and Immunohistochemistry for Detection of Illicit Dexamethasone Administration in Veal Calves
title_sort transcriptional biomarkers and immunohistochemistry for detection of illicit dexamethasone administration in veal calves
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9222442/
https://www.ncbi.nlm.nih.gov/pubmed/35742008
http://dx.doi.org/10.3390/foods11121810
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