Exploring the Therapeutic Mechanism of Chai-hu Long-gu Mu-li Decoction for Treating Insomnia and Anxiety Disorders based on Network Pharmacology and Experimental Validation.

IF 1.7 4区 医学 Q4 BIOCHEMICAL RESEARCH METHODS
Shaoyi Fan, Guodong Ruan, Chen Sun, Yuxuan Luo, Yiwei Chen, Xuejun Hu, Lei Cai, Fuping Xu
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引用次数: 0

Abstract

Introduction: Chai-hu Longgu Muli decoction (CLMD) is a classic traditional Chinese herbal formula that has achieved good curative effects in treating insomnia and anxiety disorders clinically. However, the dual-targeting mechanism of CLMD on these two distinct diseases remains unclear. This study aims to explore the potential therapeutic effects and underlying mechanism of CLMD on insomnia and anxiety through the integration of network pharmacology, molecular docking, and zebrafish experiments.

Methods: By combining network pharmacology and molecular docking, an integrative method was employed to analyze the potential molecular mechanism, and therapeutically effective components of CLMD on both insomnia and anxiety. In the verification experiment, the caffeineinduced insomnia and anxiety model of zebrafish was constructed to further verify the common mechanism underlying the dual-effects of CLMD.

Results: A total of 97 dual-effects active compounds and 118 common targets of CLMD were identified. The targets with a higher degree were identified through the PPI network, including IL6, AKT1, TNF, ALB, and TP53. KEGG pathway analysis demonstrated that these targets were correlated to Neuroactive ligand-receptor interaction, TNF signaling pathway, Dopaminergic synapse, and PI3K-Akt signaling pathway. Results of molecular docking indicated good binding affinity of CLMD to IL6, AKT1, and TNF. Animal experiments showed that CLMD markedly altered sleep/wake behavior, decreased thigmotaxis (an indicator of anxiety levels), and also significantly reduced the expression of TNF-α after treatment.

Discussion: The findings suggest that the dual therapeutic effects of CLMD on insomnia and anxiety were predominantly related to the regulation of neurotransmission and inflammatory response.

Conclusion: This study provides new insight into the molecular mechanisms underlying the homotherapy- for-heteropathy efficacy of CLMD in treating both insomnia and anxiety.

基于网络药理学及实验验证的柴胡龙骨木利汤治疗失眠、焦虑症的作用机制探讨。
简介:柴胡龙骨木里汤是一种经典的中药配方,在临床上治疗失眠和焦虑症方面取得了很好的疗效。然而,CLMD对这两种不同疾病的双重靶向机制尚不清楚。本研究旨在通过网络药理学、分子对接和斑马鱼实验相结合,探讨CLMD对失眠和焦虑的潜在治疗作用及其机制。方法:采用网络药理学与分子对接相结合的方法,综合分析CLMD治疗失眠和焦虑的潜在分子机制及有效成分。在验证实验中,我们构建了咖啡因诱导的斑马鱼失眠焦虑模型,进一步验证了CLMD双效作用的共同机制。结果:共鉴定出97个双效活性化合物和118个CLMD共同靶点。通过PPI网络鉴定出程度较高的靶点,包括IL6、AKT1、TNF、ALB、TP53。KEGG通路分析表明,这些靶点与神经活性配体-受体相互作用、TNF信号通路、多巴胺能突触和PI3K-Akt信号通路相关。分子对接结果显示CLMD与il - 6、AKT1、TNF具有良好的结合亲和力。动物实验表明,CLMD显著改变睡眠/觉醒行为,降低thigmotaxis(焦虑水平的指标),并显著降低治疗后TNF-α的表达。讨论:研究结果提示,CLMD对失眠和焦虑的双重治疗作用主要与调节神经传递和炎症反应有关。结论:本研究为CLMD治疗失眠和焦虑的同种异效疗效的分子机制提供了新的见解。
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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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