Evidence map›Paper›PMID 38106514›Full record

ArticleEvidence-based complementary and alternative medicine : eCAM2023

Network Pharmacology and Molecular Docking Explore the Mechanism of Mubiezi-Yinyanghuo Herb Pair in the Treatment of Rheumatoid Arthritis.

Fuxue Meng, Xiaomai Tao, Longkuan Li, Wei Jia, Xin Yang, Yuchen Yang

Open access · hybridAbstract read
In one paragraph

Article in Evidence-based complementary and alternative medicine : eCAM, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.5field-weighted citation impact, top 30% of its field
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 2 citations in OpenAlex.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors at 1 institution in 1 country.

Fuxue MengThe Third Affiliated Hospital of Guizhou Medical University, Duyun, Guizhou, China.ORCID https://orcid.org/0000-0002-8973-0872
Xiaomai TaoThe Third Affiliated Hospital of Guizhou Medical University, Duyun, Guizhou, China.
Longkuan LiThe Third Affiliated Hospital of Guizhou Medical University, Duyun, Guizhou, China.
Wei JiaThe Third Affiliated Hospital of Guizhou Medical University, Duyun, Guizhou, China.
Xin YangThe Third Affiliated Hospital of Guizhou Medical University, Duyun, Guizhou, China.
Yuchen YangThe Third Affiliated Hospital of Guizhou Medical University, Duyun, Guizhou, China.
Guiyang Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Our previous studies have shown that the Mubiezi-Yinyanghuo (MBZ-YYH) herb pair inhibits rheumatoid arthritis (RA) cell proliferation and glycolysis, promising results with an obscure mechanism of action. Methods: Therefore, it is necessary to explore the main components of MBZ-YYH and unravel the potential mechanism in RA based on network pharmacology and molecular docking methods. Components and targets of MBZ-YYH were retrieved from the TCMSP. Relevant targets of RA were searched in GeneCards, therapeutic target database (TTD), and DisGeNET databases; the common targets of the MBZ-YYH compounds and RA were obtained by comparison; and a component-target interaction network was established by Cytoscape 3.9.1. Gene ontology (GO) analysis and Kyoto Encyclopedia of Gene and Genome (KEGG) pathway enrichment analysis were performed through the David database. Molecular docking was performed by PyMoL2.3.0 and AutoDock Vina1.1.2 software. Results: 7 active ingredients and 58 putatively identified target genes were screened from MBZ, and 16 effective components of YYH and 230 potential targets were identified. There were 29 mutual targets between the two herbs and RA. Through the PPI network, 9 hub targets which contain JUN, CASP3, PPARG, PTGS2, GSK3B, CASP8, HMOX1, ICAM1, and HK2 were screened out. GO term enrichment analysis indicated that positive regulation of the apoptotic process, response to drugs, and response to hypoxia were significantly enriched. Based on KEGG analysis, it was mainly associated with the IL-17 signaling pathway, the TNF signaling pathway, and the p53 signaling pathway. The docking analysis revealed that the effective components showed strong binding activity with the receptors. Conclusion: The effects of the MBZ-YYH herb pair on RA were coordinated by the interaction of diverse components, which may be through the IL-17 signaling pathway and the TNF signaling pathway, which target GSK3B, HK2, caspase 3, and caspase 8, inhibiting the proliferation and glycolysis of rheumatoid arthritis fibroblast-like synovial cells (RA-FLS) and tending towards an increasing efficacy and decreasing toxicity effect on RA.

Identifiers

PMID38106514
PMCPMC10723923
OpenAlexW4389474864

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.