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Article Dans Une Revue Food Research International Année : 2020

Workflow towards the generation of bioactive hydrolysates from porcine products by combining in silico and in vitro approaches

Résumé

Food-derived bioactive peptides have generated an increasing interest in the field of health and well-being research. They can act either against the metabolic syndrome, participate in regulating the oxidation balance or act on the immune system. The aim of this study is to develop a workflow to generate bioactive peptides from three porcine offals namely, heart, liver, and lung and one muscle the Longissimus Dorsi, by combining in silico and in vitro approaches. Bioinformatics tools (e.i. BIOPEP and Uniprot) permitted to orientate the choice of enzymes for generating abundant bioactive peptides from the four studied porcine products. With papain and subtilisin, the main bioactivities potentially released were ACE inhibitors, DPP4 inhibitors and antioxidant peptides. An in vitro validation study using papain and subtilisin demonstrated high DPP4 inhibitors and antioxidant bioactivities for the generation of peptides. This work allowed: i) the identification of all proteins that composed porcine heart, liver, lung and LD muscle that could be useful for the scientific community, ii) the development of a workflow to select most abundant proteins in a product while considering abundance factors and iii) the potential of porcine meat and offals to generate DPP4 inhibitors and antioxidant peptides. However, there is still a need in developing new tools in order to face limitations of mass spectrometry for the identification of peptides with less than six amino acids. Such a work may contribute to the development of the circular economy and the innovative creation of value-added products from animal production.

Dates et versions

hal-02519431 , version 1 (26-03-2020)

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Julia Bechaux, Vincenza Ferraro, Thierry Sayd, Christophe C. Chambon, Jean François Le Page, et al.. Workflow towards the generation of bioactive hydrolysates from porcine products by combining in silico and in vitro approaches. Food Research International, 2020, 132, pp.109123. ⟨10.1016/j.foodres.2020.109123⟩. ⟨hal-02519431⟩

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