Effects of Viscum coloratum (Kom.) Nakai on collagen-induced rheumatoid arthritis.

Cytokine antibody microarray Inflammation Rheumatoid arthritis Traditional Chinese medicine Viscum coloratum (Kom.) Nakai

Journal

Journal of ethnopharmacology
ISSN: 1872-7573
Titre abrégé: J Ethnopharmacol
Pays: Ireland
ID NLM: 7903310

Informations de publication

Date de publication:
13 Mar 2024
Historique:
received: 01 01 2024
revised: 18 02 2024
accepted: 06 03 2024
medline: 16 3 2024
pubmed: 16 3 2024
entrez: 15 3 2024
Statut: aheadofprint

Résumé

Viscum coloratum (Kom.) Nakai has been traditionally used in China for nearly a thousand years to treat rheumatic diseases. However, its efficacy and mechanisms in treating rheumatoid arthritis (RA) have not been demonstrated. To investigate the anti-arthritic effects and molecular mechanisms of Viscum coloratum (Kom.) Nakai on collagen-induced arthritic mice through network pharmacology technology and experimental validation. First, the main ingredients of the extract of Viscum coloratum (Kom.) Nakai (EVC) were identified through chemical composition characterization using Ultra Performance Liquid Chromatography Tandem Mass Spectrometry (UPLC-MS). Then, the collagen-induced arthritis (CIA) model was established in DBA/1 J mice and the ameliorative effects of EVC on the progression of CIA mice were evaluated by oral treatment with different doses of the EVC for 28 days. After that, cytokine antibody microarray assay was used to detect the levels of multiple inflammation-related cytokines and chemokines in each group, and performed Gene ontology (GO) and Kyoto Encyclopedia of Genes and Genome (KEGG) enrichment analysis. Subsequently, the potential target for the effective chemical components of EVC in treating RA was identified using various databases. Additionally, a drug-disease target protein-protein interaction network (PPI) was conducted using Cytoscape for visualization and clustering, while GO and KEGG enrichment analyses were performed with the Metascape database. Finally, identified phenotypes and targets by network pharmacology analysis were experimentally validated in vivo. Treatment with EVC significantly suppressed the severity of CIA with a dramatic reduction of paw swelling, arthritis index, levels of IgGs (IgG, IgG1, IgG2a, and IgG2b), multi-inflammation-related cytokines and chemokines on the progression of CIA. Histopathological examinations showed EVC could markedly inhibit inflammatory cell infiltration, tartrate-resistant acid phosphatase (TRAP) activity of osteoclast, and bone destruction. Furthermore, GO and KEGG enrichment analyses revealed that EVC could ameliorate RA by inhibiting osteoclast differentiation and regulating multiple signaling pathways including Osteoclast differentiation, IL-17, and TNF. PPI network analysis demonstrated that AKT1, MMP9, MAPK3, and other genes were highly related to EVC in treating RA. Finally, we proved that EVC could inhibit the expression of NFTAc1, MMP9, Cathepsin K, and AKT which were closely related to osteoclast activity. EVC could treat RA through multiple components, multiple targets, and multiple pathways. The present study demonstrated the therapeutic efficacy of EVC and its molecular mechanisms in treating RA, indicating that it would be a potent candidate as a novel botanical drug for further investigation.

Identifiants

pubmed: 38490288
pii: S0378-8741(24)00325-8
doi: 10.1016/j.jep.2024.118026
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

118026

Informations de copyright

Copyright © 2024. Published by Elsevier B.V.

Déclaration de conflit d'intérêts

Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Auteurs

Yanfu Wang (Y)

Key Laboratory of Basic and Application Research of Beiyao (Heilongjiang University of Chinese Medicine), Ministry of Education, Harbin, 150040, China.

Zhichao Hao (Z)

Key Laboratory of Basic and Application Research of Beiyao (Heilongjiang University of Chinese Medicine), Ministry of Education, Harbin, 150040, China.

Dongxu Lu (D)

Key Laboratory of Basic and Application Research of Beiyao (Heilongjiang University of Chinese Medicine), Ministry of Education, Harbin, 150040, China.

Anam Naseem (A)

Key Laboratory of Basic and Application Research of Beiyao (Heilongjiang University of Chinese Medicine), Ministry of Education, Harbin, 150040, China.

Ye Sun (Y)

Key Laboratory of Basic and Application Research of Beiyao (Heilongjiang University of Chinese Medicine), Ministry of Education, Harbin, 150040, China.

Yan Sun (Y)

Key Laboratory of Basic and Application Research of Beiyao (Heilongjiang University of Chinese Medicine), Ministry of Education, Harbin, 150040, China.

Jianzhe Li (J)

Key Laboratory of Basic and Application Research of Beiyao (Heilongjiang University of Chinese Medicine), Ministry of Education, Harbin, 150040, China.

Haixue Kuang (H)

Key Laboratory of Basic and Application Research of Beiyao (Heilongjiang University of Chinese Medicine), Ministry of Education, Harbin, 150040, China.

Yan Liu (Y)

Key Laboratory of Basic and Application Research of Beiyao (Heilongjiang University of Chinese Medicine), Ministry of Education, Harbin, 150040, China. Electronic address: lifeliuyan@163.com.

Bingyou Yang (B)

Key Laboratory of Basic and Application Research of Beiyao (Heilongjiang University of Chinese Medicine), Ministry of Education, Harbin, 150040, China. Electronic address: ybywater@163.com.

Classifications MeSH