Toxicogenomic markers for corticosteroid treatment in beef cattle: Integrated analysis of transcriptomic data

Pegolo, Sara; Camillo, Barbara Di; Montesissa, Clara; Cannizzo, Francesca Tiziana; Biolatti, B.; Bargelloni, Luca

doi:10.1016/j.fct.2014.12.001

Cited by 9 publications

(8 citation statements)

References 30 publications

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“…Very poor information could be extrapolated from microarray results in skeletal muscle tissue, apart from the confirmation of a putative bias towards cell differentiation rather than proliferation which was already showed for other anabolic growth promoter treatments [41][42] . The PDN treatment seemed indeed to affect single unrelated genes in bovine muscle rather to regulate more complex pathways or processes.…”

Section: Discussionmentioning

confidence: 99%

Morphological Examination and Transcriptomic Profiling To Identify Prednisolone Treatment in Beef Cattle

Cannizzo

Pegolo

Pregel

et al. 2016

J. Agric. Food Chem.

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in skeletal muscle and testis sampled at slaughtering. In the epididymis, spermatozoa number decreased in PDN treated animals, and in some cases they were totally absent. Correspondently, in testis of treated animals, down-regulation for serine/threonine kinase 11 (STK11) gene expression was detected (p<0.01). DNA microarray analysis revealed a total of 133 differentially expressed genes in skeletal muscle and testis, and 907 and 1,416 in PBMCs after 33 days of treatment and at slaughtering, respectively. Histological investigations on epididymal content could represent a promising marker for PDN treatment in beef cattle, and could be used as a screening method in order to identify animals worthy of further investigation with official methods. Moreover, the clear transcriptomic signature of PDN treatment evidenced in PBMCs supported for the possibility of using this matrix to monitor the illicit treatment in vivo during ranching.

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Section: Discussionmentioning

confidence: 99%

Morphological Examination and Transcriptomic Profiling To Identify Prednisolone Treatment in Beef Cattle

Cannizzo

Pegolo

Pregel

et al. 2016

J. Agric. Food Chem.

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“…The training set (n = 6401) was further split in 100 training and 100 test sets and the model was trained in a Monte Carlo bootstrap resampling scheme (37,38,39,40) with B = 100 external training/test splits separately for each of the three scenarios -one model was learned from each of these training sets and validated on the corresponding test set resulting in 100 different scores of the method performance. In addition, as LASSO selects a number of variables significant for prediction of T2D for each model, we obtained 100 lists of variables that can be ranked based on the number of times a variable is selected by different models allowing us to rank the variables based on their ability to predict the onset of T2D being robust to overfitting (38,39,40). The training data were scaled with respect to their maximum and used to train three models, one for each scenario, using the package 'survival' in R (36).…”

Section: The Prediction Modelmentioning

confidence: 99%

HAPT2D: high accuracy of prediction of T2D with a model combining basic and advanced data depending on availability

Camillo

Hakaste

Sambo

et al. 2018

European Journal of Endocrinology

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“…Additionally, regarding DEX effects on cattle, different transcriptomics and proteomic studies have been proposed to firstly identify candidate biomarkers of exposure [ 11 , 12 , 13 , 14 ] and then validate their application in field samples [ 15 , 16 ]. However, the attempts to merge different sources of biological information to enhance the detection of such illicit practices, e.g., a combination of image analysis, immunohistology and gene expression studies, are currently limited to other classes of growth promoters such as sex steroids [ 17 ].…”

Section: Introductionmentioning

confidence: 99%

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

Benedetto

Biasibetti

Robotti

et al. 2022

Foods

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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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Toxicogenomic markers for corticosteroid treatment in beef cattle: Integrated analysis of transcriptomic data

Cited by 9 publications

References 30 publications

Morphological Examination and Transcriptomic Profiling To Identify Prednisolone Treatment in Beef Cattle

Morphological Examination and Transcriptomic Profiling To Identify Prednisolone Treatment in Beef Cattle

HAPT2D: high accuracy of prediction of T2D with a model combining basic and advanced data depending on availability

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

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