Prediction of the Active Ingredients, Potential Targets, and Signaling Pathways in ZaoRenDiHuang Capsules for Treatment of Insomnia Based on Network Analysis and Molecular Docking

Background: ： Insomnia is a major global public health issue with a high incidence, which presents a significant economic burden. Importantly, insomnia is often accompanied by a myriad of symptoms during the daytime, the most common being insomnia dizziness, headache, malaise, fatigue, anxiety, and even contribute to several diseases. However, the action mode of multi-component and multi-target for Chinese medicine could be a promising therapy for insomnia. According to the previous research, the ZaoRenDiHuang (ZRDH) Capsules showed the noteworthy anti-insomnia effect. Up to now, active ingredients, potential targets, and signaling pathways and mechanism of action are not yet clear. In this study, network pharmacology was employed to elucidate the potential anti-insomnia mechanism of ZRDH. Methods: ： In this study, an integrated pharmacology approach was implemented, which involved evaluation of absorption, distribution, metabolism and excretion of ZRDH, data mining of the insomnia targets, protein-protein interaction (PPI) network analysis, enrichment analysis, and molecular docking simulation, to predict the bioactive components, potential targets, and molecular mechanism of ZRDH for insomnia. Results: ： In this work, 44 anti-insomnia components of ZRDH and 65 anti-insomnia targets of insomnia were filtrated through database mining. The Drug-Disease network was constructed andfive key components Jujuboside A, Schizandrin A, Schizandrin C, Schizandrin B, and Spinosin, were further obtained. Sixty-five key targets were identified by topological analysis. Sequential studies turned out, NMURl, CAlCR, GABA, TAER2, ORDS, CYS1TR2, HTR1B, TLR4 were the common key targets. Docking studies indicated that the bioactive compounds could stably bind the pockets of target proteins. The findings of Gene Ontology (GO) terms and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway annotation suggested that the Neuroactive ligand−receptor interaction, Serotonergic synapse CAMP signaling pathway, HIF−1a signaling pathway, Toll−like receptor signaling pathway, anti-insomnia through data mining and network analysis. Conclusion: In sunmmary, potential mechanisms involved in ZRDH treatment for insomnia involves multiple components and multiple target points as well as multiple pathways. These findings may offer a profile for further investigations of the anti-fibrotic mechanism of ZRDH.