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1H NMR Metabolomics on Pigs' Liver Exposed to Antibiotics Administration: An Explorative Study.
Fabrile, Maria Pia; Ghidini, Sergio; Caligiani, Augusta; Scali, Federico; Varrà, Maria Olga; Lolli, Veronica; Alborali, Giovanni Loris; Ianieri, Adriana; Zanardi, Emanuela.
Afiliação
  • Fabrile MP; Department of Food and Drug, University of Parma, Strada del Taglio, 10, 43126 Parma, Italy.
  • Ghidini S; Department of Food and Drug, University of Parma, Strada del Taglio, 10, 43126 Parma, Italy.
  • Caligiani A; Department of Food and Drug, University of Parma, Strada del Taglio, 10, 43126 Parma, Italy.
  • Scali F; Istituto Zooprofilattico Sperimentale della Lombardia e dell'Emilia-Romagna, Via A. Bianchi 9, 25124 Brescia, Italy.
  • Varrà MO; Department of Food and Drug, University of Parma, Strada del Taglio, 10, 43126 Parma, Italy.
  • Lolli V; Department of Food and Drug, University of Parma, Strada del Taglio, 10, 43126 Parma, Italy.
  • Alborali GL; Istituto Zooprofilattico Sperimentale della Lombardia e dell'Emilia-Romagna, Via A. Bianchi 9, 25124 Brescia, Italy.
  • Ianieri A; Department of Food and Drug, University of Parma, Strada del Taglio, 10, 43126 Parma, Italy.
  • Zanardi E; Department of Food and Drug, University of Parma, Strada del Taglio, 10, 43126 Parma, Italy.
Foods ; 12(23)2023 Nov 25.
Article em En | MEDLINE | ID: mdl-38231703
ABSTRACT
An untargeted Nuclear Magnetic Resonance (NMR) spectroscopy-based metabolomics approach was applied as a first attempt to explore the metabolome of pigs treated with antibiotics. The final goal was to investigate the possibility of discriminating between antibiotic-treated (TX group) and untreated pigs (CTRL group), with the further perspective of identifying the authentication tools for antibiotic-free pork supply chains. In particular, 41 samples of pig liver were subjected to a biphasic extraction to recover both the polar and the non-polar metabolites, and the 1H NMR spectroscopy analysis was performed on the two separate extracts. Unsupervised (principal component analysis) and supervised (orthogonal partial least squares discriminant analysis) multivariate statistical analysis of 1H NMR spectra data in the range 0-9 ppm provided metabolomic fingerprinting useful for the discrimination of pig livers based on the antibiotic treatment to which they were exposed. Moreover, within the signature patterns, significant discriminating metabolites were identified among carbohydrates, choline and derivatives, amino acids and some lipid-class molecules. The encouraging findings of this exploratory study showed the feasibility of the untargeted metabolomic approach as a novel strategy in the authentication framework of pork supply chains and open a new horizon for a more in-depth investigation.
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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Foods Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Itália

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Foods Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Itália