Rice bran-derived protein fractions enhance sulforaphane-induced anti-oxidative activity in gingival epithelial cells.


Journal

Archives of oral biology
ISSN: 1879-1506
Titre abrégé: Arch Oral Biol
Pays: England
ID NLM: 0116711

Informations de publication

Date de publication:
Sep 2021
Historique:
received: 19 04 2021
revised: 04 07 2021
accepted: 20 07 2021
pubmed: 30 7 2021
medline: 17 8 2021
entrez: 29 7 2021
Statut: ppublish

Résumé

Food-derived bioactive peptides have been reported to exhibit various beneficial effects, including anti-microbial, anti-inflammatory, and anti-oxidant properties. Oxidative stress has been implicated in the development of several inflammatory diseases such as periodontal disease. However, the anti-oxidative effect of food-derived bioactive peptides in gingival epithelial cells (GECs) is unknown. Therefore, we examined the bioactivity of the peptides in GECs. Food-derived peptide fractionations derived from rice bran, rice endosperm, corn, and soy were screened for anti-oxidative effects using anti-oxidant response element (ARE)-luciferase-transfected HEK 293 cells. The induction of anti-oxidation-related genes and proteins in GECs by the fractions were examined by quantitative PCR and Western blotting, respectively. Then, the fraction-mediated anti-oxidative effects were examined by measuring intracellular reactive oxygen species (ROS) levels using flow cytometry. Furthermore, the anti-oxidative response-related cellular signaling pathways were analyzed via Western blotting. Although treatment with the food-derived peptides alone did not activate anti-oxidative responses, co-treatment with sulforaphane (SFN; a potent anti-oxidant) and certain food-derived peptides enhanced anti-oxidative responses in ARE-luciferase-transfected HEK 293 cells. The fractions augmented heme oxygenase-1 mRNA and protein expression in GECs. The percentage of ROS-positive cells was significantly decreased by co-treatment with SFN and peptide fractions derived from rice bran. Furthermore, the involvement of both nuclear factor erythroid 2-related factor 2 (Nrf2) and extracellular signal-regulated kinase (ERK) in the enhancement of anti-oxidative responses was demonstrated by Western blotting. Peptides derived from rice bran enhances SFN-induced anti-oxidative responses in GECs through ERK-Nrf2-ARE signaling.

Identifiants

pubmed: 34325345
pii: S0003-9969(21)00178-3
doi: 10.1016/j.archoralbio.2021.105215
pii:
doi:

Substances chimiques

Antioxidants 0
Isothiocyanates 0
NF-E2-Related Factor 2 0
Reactive Oxygen Species 0
Sulfoxides 0
Heme Oxygenase-1 EC 1.14.14.18
sulforaphane GA49J4310U

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

105215

Informations de copyright

Copyright © 2021 Elsevier Ltd. All rights reserved.

Auteurs

Shuhei Mineo (S)

Division of Periodontology, Department of Oral Biological Science, Niigata University Graduate School of Medical and Dental Sciences, Niigata, Japan.

Naoki Takahashi (N)

Division of Periodontics, Niigata University Medical & Dental Hospital University Medical and Dental Hospital, 2-5274 Gakkocho-dori, Chuo-ku, 951-8514, Niigata, Japan. Electronic address: takahashi-n@dent.niigata-u.ac.jp.

Miki Yamada-Hara (M)

Division of Periodontology, Department of Oral Biological Science, Niigata University Graduate School of Medical and Dental Sciences, Niigata, Japan; Research Center for Advanced Oral Science, Niigata University Graduate School of Medical and Dental Sciences, Niigata, Japan.

Takahiro Tsuzuno (T)

Division of Periodontology, Department of Oral Biological Science, Niigata University Graduate School of Medical and Dental Sciences, Niigata, Japan.

Yukari Aoki-Nonaka (Y)

Division of Periodontology, Department of Oral Biological Science, Niigata University Graduate School of Medical and Dental Sciences, Niigata, Japan.

Koichi Tabeta (K)

Division of Periodontology, Department of Oral Biological Science, Niigata University Graduate School of Medical and Dental Sciences, Niigata, Japan. Electronic address: tabeta@dent.niigata-u.ac.jp.

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Classifications MeSH