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Treatment of gouty arthritis with traditional Chinese medicine decoction: Meta-analysis, network pharmacology analysis, and molecular docking

Qu P, Du S, Wang W, Peng Z, Hu Q, Wang H, Tang X

Medicine, 2024

7,151 participants · 7 citations

Abstract

Background: Previous studies have shown that traditional Chinese medicine decoction (TCMD) could ameliorate the clinical symptoms and laboratory indicators of gouty arthritis (GA) patients. However, few investigations have been conducted on the efficacy and safety of TCMD for GA, the underlying mechanism of TCMD for GA, and the relationship between the TCMD active ingredients and GA targets.

Methods: Randomized controlled trials of TCMD for GA were retrieved from Chinese and English databases. Meta-analysis was conducted by Stata 17 software. Potential sources of heterogeneity were identified through subgroup analysis, meta-regression, and heterogeneity test. Publication bias was assessed by Egger's test and funnel plots. The ingredients and targets related to TCMD and GA were obtained from multiple databases, such as TCMSP and DrugBank. The protein-protein interaction network, GO and KEGG analysis was constructed using STRING and DAVID. Molecular docking and visualization of the results were completed by AutoDock and PyMOL software.

Results: Eighty-four studies were included, involving 7151 patients and 10 outcome indicators. Meta-analysis showed that, compared to routine treatment, TCMD could better reduce the incidence of adverse events and the level of laboratory indicators including blood uric acid (BUA), C-reactive protein (CRP), erythrocyte sedimentation rate (ESR), interleukin 6 (IL-6), interleukin 8 (IL-8), interleukin 1β (IL-1β), and tumor necrosis factor-α…

How strong is the evidence?

Evidence Hub reads this as a meta-analysis, done in computer models (in silico), not in people. Its evidence level is 5 of 5 (Very low · case / narrative / animal / in vitro / in silico). Case reports, narrative reviews, and animal, cell or computer-model studies give the weakest evidence for human health. Reported size: 7,151 participants or records.

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