加味独活寄生混剂通过抑制炎症缓解家兔骨关节炎的进展:网络药理学和实验方法。

IF 1.6 4区 医学 Q4 BIOCHEMICAL RESEARCH METHODS
Tan Kaiyun, Xu Xiaotong, Lu Min, Wu Yongrong, Tan Xuyi, Shen Fu, Ge Jinwen, Kuang Gaoyan
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引用次数: 0

摘要

背景:膝关节骨关节炎(KOA)是一种常见的退行性关节疾病,以软骨退化、炎症和疼痛为特征。传统中药,包括 "独活寄生汤",一直被用于缓解膝关节骨性关节炎的症状,但其潜在机制仍不清楚:本研究旨在通过网络药理学、加权基因共表达网络分析(WGCNA)、分子对接和动物模型实验验证,阐明剑南春治疗KOA的潜在治疗机制:方法:通过TCMSP数据库检索确定了JDJM的活性化合物,并利用网络药理学预测了其潜在靶点。采用WGCNA鉴定与KOA相关的关键模块和枢纽基因。进行分子对接以评估关键化合物与关键炎症靶点的结合亲和力。分子动力学(MD)模拟用于评估蛋白质配体复合物的稳定性。利用兔子的 KOA 实验模型来验证 JDJM 的治疗效果。为证实研究结果,还进行了组织病理学检查和炎症标志物分析:结果:网络药理学和WGCNA分析确定了可能参与JDJM治疗效果的21个关键靶点和通路。分子对接结果显示,甘珀酸 C 与 EGF 和 IL-1β 的对接得分最高,其次是麦角甾醇与 IL-6、麦角酮与 INS 和芝麻素与 VEGFA。MD 模拟证实了这些蛋白质配体复合物的稳定性,表明它们之间存在着强烈而稳定的相互作用。在兔 KOA 模型中,JDJM 治疗显著改善了膝关节形态,降低了 IL-6 和 TNF-α 等炎症标志物的水平。组织病理学分析表明,与对照组相比,JDJM 治疗组的软骨降解和炎症均有所减少:结论:JDJM 具有良好的抗炎和软骨保护作用,是 KOA 患者的潜在治疗选择。为了证实这些发现并将其转化为临床实践,还需要进一步的实验和临床研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Jiawei Duhuo Jisheng Mixture Mitigates Osteoarthritis Progression in Rabbits by Inhibiting Inflammation: A Network Pharmacology and Experimental Approach.

Background: Knee osteoarthritis (KOA) is a common degenerative joint disease characterized by cartilage degradation, inflammation, and pain. Traditional Chinese Medicine, including JDJM (a herbal formula derived from the renowned Du Huo Ji Sheng Tang), has been used to alleviate symptoms of KOA, but its underlying mechanisms remain unclear.

Objective: This study aims to elucidate the potential therapeutic mechanisms of JDJM in treating KOA through network pharmacology, weighted gene co-expression network analysis (WGCNA), molecular docking, and experimental validation in animal models.

Methods: The active compounds of JDJM were identified through TCMSP database searches, and their potential targets were predicted using network pharmacology. WGCNA was employed to identify key modules and hub genes associated with KOA. Molecular docking was performed to assess the binding affinities of key compounds to critical inflammatory targets. Molecular dynamics (MD) simulations were used to evaluate the stability of the protein-ligand complexes. An experimental KOA model in rabbits was used to validate the therapeutic effects of JDJM. Histopathological examinations and inflammatory marker analyses were conducted to confirm the findings.

Results: Network pharmacology and WGCNA analyses identified 21 key targets and pathways potentially involved in the therapeutic effects of JDJM. Molecular docking results showed that Glyasperin C had the highest docking scores with EGF and IL-1β, followed by Stigmasterol with IL-6, Myricanone with INS, and Sesamin with VEGFA. MD simulations confirmed the stability of these protein-ligand complexes, indicating strong and stable interactions. In the rabbit KOA model, JDJM treatment significantly improved knee joint morphology and reduced the levels of inflammatory markers, such as IL-6 and TNF-α. Histopathological analysis revealed reduced cartilage degradation and inflammation in the JDJM-treated group compared to controls.

Conclusion: JDJM exhibits promising anti-inflammatory and cartilage-protective effects, making it a potential therapeutic option for KOA patients. Further experimental and clinical studies are warranted to confirm these findings and translate them into clinical practice.

.

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来源期刊
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.
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