Investigation of the Mechanism of Pachyman against Gout Arthritis with Network Pharmacology Analysis and Verification In Vivo.

IF 1.6 4区医学 Q4 BIOCHEMICAL RESEARCH METHODS

Combinatorial chemistry & high throughput screening Pub Date : 2025-01-22 DOI:10.2174/0113862073330896241211155436

Qing-Xin Kong, Wei-Ping Xu, Cheng Fan, Bi-Lin Liu, Li-Ping Reng, Qiao Ruan

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引用次数: 0

Abstract

Purpose: Pachyman, derived from Poria cocos, has been used to treat gouty arthritis (GA) for thousands of years, although its precise role and mechanisms remain unclear. Herein, we investigate the therapeutic effects of pachyman on GA and explore their underlying mechanisms.

Methods: Network pharmacology and experimental methods were employed to investigate the therapeutic mechanisms of pachyman against GA. The protein-protein interaction network of shared targets between pachyman and gout was constructed. Furthermore, we elucidated the functions and mechanisms of pachyman against GA. Subsequently, we validated the predicted mechanisms from an experiment on rats.

Results: The treatment of GA with pachyman primarily related to tumor necrosis factor (TNF), matrix metalloproteinases (MMP), and relaxation factor signaling pathways. In the experimental validation, pachyman were found to regulate the expression of IL-1β, TNF-α, TGF-β, superoxide dismutase, and glutathione peroxidase of hyperuricemic rats.

Conclusion: These collective findings suggest that pachyman holds promise as an alternative treatment for GA.

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来源期刊

Combinatorial chemistry & high throughput screening 化学-生化研究方法

CiteScore

3.10

自引率

5.60%

发文量

327

审稿时长

7.5 months

期刊介绍： Combinatorial Chemistry & High Throughput Screening (CCHTS) publishes full length original research articles and reviews/mini-reviews dealing with various topics related to chemical biology (High Throughput Screening, Combinatorial Chemistry, Chemoinformatics, Laboratory Automation and Compound management) in advancing drug discovery research. Original research articles and reviews in the following areas are of special interest to the readers of this journal: Target identification and validation Assay design, development, miniaturization and comparison High throughput/high content/in silico screening and associated technologies Label-free detection technologies and applications Stem cell technologies Biomarkers ADMET/PK/PD methodologies and screening Probe discovery and development, hit to lead optimization Combinatorial chemistry (e.g. small molecules, peptide, nucleic acid or phage display libraries) Chemical library design and chemical diversity Chemo/bio-informatics, data mining Compound management Pharmacognosy Natural Products Research (Chemistry, Biology and Pharmacology of Natural Products) Natural Product Analytical Studies Bipharmaceutical studies of Natural products Drug repurposing Data management and statistical analysis Laboratory automation, robotics, microfluidics, signal detection technologies Current & Future Institutional Research Profile Technology transfer, legal and licensing issues Patents.