Description of metabolic differences between castrated males and intact gilts obtained from high-throughput metabolomics of porcine plasma

Surgically castrated male pigs, which are commonly produced in pork production systems, have slightly lower production efficiency, compared to intact female pigs (gilts). This is mainly due to an unfavorable feed conversion rate and fatter carcasses. These differences influenced by physiological and genetic factors can be identified through metabolomics, which describes metabolic profiles. In this study, we used untargeted metabolomics to analyze the plasma of 694 Italian Large White pigs (228 castrated males and 466 intact gilts), sampled at slaughter. The metabolomic profiles included 731 metabolites covering 98 sub-pathways. The raw metabolomic data were cleaned and imputed using multivariate imputation by chained equations. The Boruta algorithm was then employed to identify metabolites that have different concentrations between castrated males and intact gilts. To address the random nature of feature selection, multiple Boruta runs were generated, and nested within a 10-fold cross-validation, resulting in 1,250 Boruta datasets. These datasets helped identify 40 informative metabolites, with a reduced core of 15 metabolites consistently confirmed across all runs. Their calculated random forest out-of-bag error was 0.25 and 0.27, respectively. The relevance, ranking, and predictive ability of each selected metabolite were determined based on the mean decrease Gini (MDG) and the area under the curve (AUC) of the receiver operating characteristic curve analysis, with MDG values of 0.024 ± 0.007 and 0.030 ± 0.009 and AUC values of 0.62 ± 0.04 and 0.65 ± 0.03 for the 2 metabolite sets, respectively. Of the 40 selected metabolites, 60% had higher concentrations in castrated males than in intact gilts, while in the 15 metabolites set, this percentage was 80%. Network and biological pathways analyses indicated that the selected metabolites were primarily amino acids and lipids, many of which belonged to their respective sub-pathways, suggesting minimal biological differences between castrated males and intact gilts. These findings support previous results obtained using a targeted metabolomic platform. This study represents the largest investigation to date on the pig sex metabolome, providing essential biological insights that could inform precise husbandry and feeding strategies in pigs, taking into consideration the castration status of the males.

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Publication Details

Journal
Journal of Animal Science
Published
2025-01-01
DOI
https://doi.org/10.1093/jas/skaf178
Citations
3
Primary Topic
Metabolomics and Mass Spectrometry Studies
Type
article
Field-Weighted Citation Impact
2.42

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article

Description of metabolic differences between castrated males and intact gilts obtained from high-throughput metabolomics of porcine plasma

Anisa Ribani, Samuele Bovo, Luca Fontanesi, Giuliano Galimberti et al.
3 citations
Journal of Animal Science
Metabolomics and Mass Spectrometry Studies
2.42
article

Description of metabolic differences between castrated males and intact gilts obtained from high-throughput metabolomics of porcine plasma

Anisa Ribani, Samuele Bovo, Luca Fontanesi, Giuliano Galimberti, Giuseppina Schiavo, Francesca Bertolini, Paolo Zambonelli, Matteo Bolner, Marcella Bitiler Gallo, Stefania Dall’Olio
article en
3 citations

Abstract

Surgically castrated male pigs, which are commonly produced in pork production systems, have slightly lower production efficiency, compared to intact female pigs (gilts). This is mainly due to an unfavorable feed conversion rate and fatter carcasses. These differences influenced by physiological and genetic factors can be identified through metabolomics, which describes metabolic profiles. In this study, we used untargeted metabolomics to analyze the plasma of 694 Italian Large White pigs (228 castrated males and 466 intact gilts), sampled at slaughter. The metabolomic profiles included 731 metabolites covering 98 sub-pathways. The raw metabolomic data were cleaned and imputed using multivariate imputation by chained equations. The Boruta algorithm was then employed to identify metabolites that have different concentrations between castrated males and intact gilts. To address the random nature of feature selection, multiple Boruta runs were generated, and nested within a 10-fold cross-validation, resulting in 1,250 Boruta datasets. These datasets helped identify 40 informative metabolites, with a reduced core of 15 metabolites consistently confirmed across all runs. Their calculated random forest out-of-bag error was 0.25 and 0.27, respectively. The relevance, ranking, and predictive ability of each selected metabolite were determined based on the mean decrease Gini (MDG) and the area under the curve (AUC) of the receiver operating characteristic curve analysis, with MDG values of 0.024 ± 0.007 and 0.030 ± 0.009 and AUC values of 0.62 ± 0.04 and 0.65 ± 0.03 for the 2 metabolite sets, respectively. Of the 40 selected metabolites, 60% had higher concentrations in castrated males than in intact gilts, while in the 15 metabolites set, this percentage was 80%. Network and biological pathways analyses indicated that the selected metabolites were primarily amino acids and lipids, many of which belonged to their respective sub-pathways, suggesting minimal biological differences between castrated males and intact gilts. These findings support previous results obtained using a targeted metabolomic platform. This study represents the largest investigation to date on the pig sex metabolome, providing essential biological insights that could inform precise husbandry and feeding strategies in pigs, taking into consideration the castration status of the males.

Journal of Animal ScienceVol. 103
ANT Foundation Italy Onlus (IT), University of Bologna (IT)
European Commission, HORIZON EUROPE Framework Programme
Openalex Percentile: Top 12%
Metabolomics and Mass Spectrometry Studies
2.42
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