Treatment of liver fibrosis in hepatolenticular degeneration with traditional Chinese medicine: systematic review of meta-analysis, network pharmacology and molecular dynamics simulation.

Wilson's disease hepatolenticular degeneration liver fibrosis meta-analysis molecular dynamics simulation network pharmacology traditional Chinese medicine

Journal

Frontiers in medicine
ISSN: 2296-858X
Titre abrégé: Front Med (Lausanne)
Pays: Switzerland
ID NLM: 101648047

Informations de publication

Date de publication:
2023
Historique:
received: 24 03 2023
accepted: 18 04 2023
medline: 30 5 2023
pubmed: 30 5 2023
entrez: 30 5 2023
Statut: epublish

Résumé

Traditional Chinese medicine (TCM) is widely used in the clinical treatment of hepatolenticular degeneration (HLD) and liver fibrosis (LF). In the present study, the curative effect was assessed using meta-analysis. The possible mechanism of TCM against LF in HLD was investigated using network pharmacology and molecular dynamics simulation. For literature collection, we searched several databases, including PubMed, Embase, Cochrane Library, Web of Science, Chinese National Knowledge Infrastructure (CNKI), VIP Database for Chinese Technical Periodicals (VIP) and Wan Fang database until February 2023, and the Review Manager 5.3 was used to analyze the data. Network pharmacology and molecular dynamics simulation were used to explore the mechanism of TCM in treating LF in HLD. The results of the meta-analysis revealed that the addition of Chinese herbal medicine (CHM) in treating HLD resulted in a higher total clinical effective rate than western medicine alone [RR 1.25, 95% CI (1.09, 1.44), Meta-analysis indicates that TCM is beneficial in treating HLD patients and improving LF. The present study successfully predicts the effective components and potential targets and pathways involved in treating LF for the three high-frequency CHMs of DH-HL-JH. The findings of the present study are hoped to provide some evidence support for clinical treatment. https://www.crd.york.ac.uk/PROSPERO, identifier: CRD42022302374.

Sections du résumé

Background UNASSIGNED
Traditional Chinese medicine (TCM) is widely used in the clinical treatment of hepatolenticular degeneration (HLD) and liver fibrosis (LF). In the present study, the curative effect was assessed using meta-analysis. The possible mechanism of TCM against LF in HLD was investigated using network pharmacology and molecular dynamics simulation.
Methods UNASSIGNED
For literature collection, we searched several databases, including PubMed, Embase, Cochrane Library, Web of Science, Chinese National Knowledge Infrastructure (CNKI), VIP Database for Chinese Technical Periodicals (VIP) and Wan Fang database until February 2023, and the Review Manager 5.3 was used to analyze the data. Network pharmacology and molecular dynamics simulation were used to explore the mechanism of TCM in treating LF in HLD.
Results UNASSIGNED
The results of the meta-analysis revealed that the addition of Chinese herbal medicine (CHM) in treating HLD resulted in a higher total clinical effective rate than western medicine alone [RR 1.25, 95% CI (1.09, 1.44),
Conclusion UNASSIGNED
Meta-analysis indicates that TCM is beneficial in treating HLD patients and improving LF. The present study successfully predicts the effective components and potential targets and pathways involved in treating LF for the three high-frequency CHMs of DH-HL-JH. The findings of the present study are hoped to provide some evidence support for clinical treatment.
Systematic review registration UNASSIGNED
https://www.crd.york.ac.uk/PROSPERO, identifier: CRD42022302374.

Identifiants

pubmed: 37250630
doi: 10.3389/fmed.2023.1193132
pmc: PMC10213944
doi:

Types de publication

Systematic Review

Langues

eng

Pagination

1193132

Informations de copyright

Copyright © 2023 Yang, Wang, Tang, Shao, Gao and Wu.

Déclaration de conflit d'intérêts

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

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Auteurs

Xulong Yang (X)

College of Integrated Traditional Chinese and Western Medicine, Anhui University of Chinese Medicine, Hefei, China.

Tiancheng Wang (T)

College of Integrated Traditional Chinese and Western Medicine, Anhui University of Chinese Medicine, Hefei, China.

Yiping Tang (Y)

College of Integrated Traditional Chinese and Western Medicine, Anhui University of Chinese Medicine, Hefei, China.

Yawen Shao (Y)

College of Integrated Traditional Chinese and Western Medicine, Anhui University of Chinese Medicine, Hefei, China.

Yaqin Gao (Y)

College of Nursing, Anhui University of Chinese Medicine, Hefei, China.

Peng Wu (P)

College of Integrated Traditional Chinese and Western Medicine, Anhui University of Chinese Medicine, Hefei, China.

Classifications MeSH