Predictive selection and evaluation of appropriate functional peptides for intestinal delivery with a porous silica gel.


Journal

Journal of bioscience and bioengineering
ISSN: 1347-4421
Titre abrégé: J Biosci Bioeng
Pays: Japan
ID NLM: 100888800

Informations de publication

Date de publication:
Jul 2019
Historique:
received: 17 10 2018
revised: 25 12 2018
accepted: 04 01 2019
pubmed: 3 2 2019
medline: 15 8 2019
entrez: 3 2 2019
Statut: ppublish

Résumé

Bioactive peptides have a positive impact on body functions and conditions and may influence health. However, peptides are degraded by digestive enzymes, such as pepsin in the stomach when ingested orally. In order to solve this problem, we previously focused on porous silica gel and found that by using calcined silica gel, hydrophobic and negatively charged peptides could be efficiently delivered into the intestine, because peptides adsorbed on the cavity of the silica gel could be protected from enzymatic degradation. Therefore, in this study, we attempted to develop peptides whose physicochemical properties were suitable for intestinal delivery without lowering their activity. We also proposed guidelines of predictive selection of such peptides. For that purpose, we selected hypercholesterolemic peptides as a model and re-designed the peptides based on the previously reported color map, in which intestinal delivery degree was predictively depicted as contour lines. As a result, we succeeded in getting five different re-designed peptides from 1265 substituted peptide derivatives. These peptides showed a dual function of being suitable for intestinal delivery with silica gel and for disruption of bile acid micelles. The release amount of IYEYMY was 2.09 times the parent peptide, which was the highest.

Identifiants

pubmed: 30709703
pii: S1389-1723(18)30950-2
doi: 10.1016/j.jbiosc.2019.01.001
pii:
doi:

Substances chimiques

Bile Acids and Salts 0
Drug Carriers 0
Peptide Library 0
Peptides 0
Silica Gel 60650-90-0
Silicon Dioxide 7631-86-9
Cholesterol 97C5T2UQ7J

Types de publication

Journal Article

Langues

eng

Pagination

44-49

Informations de copyright

Copyright © 2019 The Society for Biotechnology, Japan. Published by Elsevier B.V. All rights reserved.

Auteurs

Kento Imai (K)

Department of Biomolecular Engineering, Graduate School of Engineering, Nagoya University, Nagoya 464-8603, Japan.

Kazunori Shimizu (K)

Department of Biomolecular Engineering, Graduate School of Engineering, Nagoya University, Nagoya 464-8603, Japan.

Hiroyuki Honda (H)

Department of Biomolecular Engineering, Graduate School of Engineering, Nagoya University, Nagoya 464-8603, Japan; Innovative Research Center for Preventive Medical Engineering, Nagoya University, Nagoya 464-8601, Japan. Electronic address: honda@chembio.nagoya-u.ac.jp.

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Classifications MeSH