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Combined in vivo and in silico approaches for predicting the release of bioactive peptides from meat digestion.
Sayd, T; Dufour, C; Chambon, C; Buffière, C; Remond, D; Santé-Lhoutellier, V.
Afiliação
  • Sayd T; INRA, UR370 Qualité des Produits Animaux, F-63122 Saint Genès Champanelle, France.
  • Dufour C; INRA, UR SQPOV, F-84000 Avignon, France.
  • Chambon C; INRA, UR370 Qualité des Produits Animaux, F-63122 Saint Genès Champanelle, France.
  • Buffière C; Université Clermont Auvergne, INRA, UNH, F-63000 Clermont-Ferrand, France.
  • Remond D; Université Clermont Auvergne, INRA, UNH, F-63000 Clermont-Ferrand, France.
  • Santé-Lhoutellier V; INRA, UR370 Qualité des Produits Animaux, F-63122 Saint Genès Champanelle, France. Electronic address: veronique.sante-lhoutellier@inra.fr.
Food Chem ; 249: 111-118, 2018 May 30.
Article em En | MEDLINE | ID: mdl-29407913
ABSTRACT
We studied the kinetics of peptide release during the gastric digestion of meat proteins in vivo, in view to predicting the release of bioactive peptides further on in the digestive tract. Six mini pigs fitted with gastric cannulas received a meal with cooked beef as protein source. Digesta was collected at regular time intervals up to 5½â€¯h. The peptides generated by the gastric digestion of meat were identified and quantified using label-free LC MS, thereafter subjected to in silico digestion mimicking the action of intestinal enzymes. Three clusters of proteins presenting similar evolutions according to their dynamic hydrolysis were obtained. This study clearly improves the in silico prediction of the intestinal release of bioactive peptides by mapping meat protein degradation in the stomach in an in vivo model. Knowledge of the conformation of the peptides released in the stomach further improves this prediction.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Peptídeos / Suínos / Carne Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Animals Idioma: En Revista: Food Chem Ano de publicação: 2018 Tipo de documento: Article País de afiliação: França

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Peptídeos / Suínos / Carne Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Animals Idioma: En Revista: Food Chem Ano de publicação: 2018 Tipo de documento: Article País de afiliação: França