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Oral Collagen Drink for Antiaging: Antioxidation, Facilitation of the Increase of Collagen Synthesis, and Improvement of Protein Folding and DNA Repair in Human Skin Fibroblasts

Authors :
Kai-Wen Kan
Jia-Haur Chen
Yung-Hsiang Lin
Yu-Chen Hsu
Chen-Meng Kuan
Ping Lin
Nan Hua
Yung-Hao Lin
Source :
Oxidative Medicine and Cellular Longevity, Vol 2020 (2020), Oxidative Medicine and Cellular Longevity
Publication Year :
2020
Publisher :
Hindawi Limited, 2020.

Abstract

This work unveils a fish collagen drink for improvement of skin aging. Previous studies frequently discussed the skin aging from the angle of the representative characteristics of collagen loss and the oxidative-induced expression of proteolytic enzymes matrix metalloproteinases (MMPs), but few groups comprehensively investigated the efficacy of oral hydrolyzed collagen for enhancing protein folding and DNA repair as well as improving notable cell behaviors. To delineate the broad perspective on delaying skin aging, we inspected the collagen drink-treated fibroblast cells from the molecular and cellular aspects. The results show that the collagen drink could perform the compact antiaging effects on ROS inhibition, the facilitation of the synthesis of extracellular matrix (ECM) proteins, the increase of mitochondrial activity, and improvement of the gene expression regarding correct protein folding, DNA mismatch repair (MMR) and base excision repair (BER). Although the experimental results are built on the cellular models, we believe that the positive outcomes can provide more details on the influence of oral hydrolyzed collagen supplement for antiaging. In short, we have successfully proved that the synergistic effect of the collagen drink could not only reduce the oxidative damage but also ameliorate the cell functionality to compensate the harmful effects induced by UVA.

Details

Language :
English
ISSN :
19420994 and 19420900
Volume :
2020
Database :
OpenAIRE
Journal :
Oxidative Medicine and Cellular Longevity
Accession number :
edsair.doi.dedup.....967adecbdbd9a1486e032df168e27bc5