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  5. Fucoidan from Fucus vesiculosus Inhibits Inflammatory Response, Both In Vitro and In Vivo

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Article
en
2023

Fucoidan from Fucus vesiculosus Inhibits Inflammatory Response, Both In Vitro and In Vivo

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en
2023
Vol 21 (5)
Vol. 21
DOI: 10.3390/md21050302

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Rui L Reis
Rui L Reis

Institution not specified

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Lingzhi Wang
Catarina Oliveira
Qiu Li
+8 more

Abstract

Fucoidan has been reported to present diverse bioactivities, but each extract has specific features from which a particular biological activity, such as immunomodulation, must be confirmed. In this study a commercially available pharmaceutical-grade fucoidan extracted from Fucus vesiculosus, FE, was characterized and its anti-inflammatory potential was investigated. Fucose was the main monosaccharide (90 mol%) present in the studied FE, followed by uronic acids, galactose, and xylose that were present at similar values (3.8-2.4 mol%). FE showed a molecular weight of 70 kDa and a sulfate content of around 10%. The expression of cytokines by mouse bone-marrow-derived macrophages (BMDMs) revealed that the addition of FE upregulated the expression of CD206 and IL-10 by about 28 and 22 fold, respectively, in respect to control. This was corroborated in a stimulated pro-inflammatory situation, with the higher expression (60 fold) of iNOS being almost completely reversed by the addition of FE. FE was also capable of reverse LPS-caused inflammation in an in vivo mouse model, including by reducing macrophage activation by LPS from 41% of positive CD11C to 9% upon fucoidan injection. Taken together, the potential of FE as an anti-inflammatory agent was validated, both in vitro and in vivo.

How to cite this publication

Lingzhi Wang, Catarina Oliveira, Qiu Li, Andreia S. Ferreira, Cláudia Nunes, Manuel A. Coimbra, Rui L Reis, Albino Martins, Chunming Wang, Tiago H. Silva, Yanxian Feng (2023). Fucoidan from Fucus vesiculosus Inhibits Inflammatory Response, Both In Vitro and In Vivo. , 21(5), DOI: https://doi.org/10.3390/md21050302.

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Publication Details

Type

Article

Year

2023

Authors

11

Datasets

0

Total Files

0

Language

en

DOI

https://doi.org/10.3390/md21050302

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