Action mechanism of Roman chamomile in the treatment of anxiety disorder based on network pharmacology

Abstract

Anxiety disorder is a common psychiatric disease. Roman chamomile as medicine or tea has long been used as a mild tranquilizer to reduce anxiety, but the mechanism is unclear. This research is based on network pharmacology combined with database mining to find the ingredients, action pathways and key targets of Roman chamomile for the treatment of anxiety. About 126 common targets related to chamomile and anxiety were obtained, and these targets were involved in 56 KEGG pathways. GEO screened LRRK2 as a key protein, and molecular docking showed that the protein could stably bind to drug components. Roman chamomile has the characteristics of multi-target and multi-pathway in the treatment of anxiety disorder. Its possible mechanism is to intervene anxiety disorder in the process of disease development, such as neuroactive ligand-receptor interaction, serotonin synapse, and cAMP signaling pathway. LRRK2 may be an important gene for Roman chamomile in the treatment of anxiety disorder. Practical applications Roman chamomile is well known for its use in medicine and tea making. It contains many nutrients, which can relieve people's anxiety, help sleep, antibacterial and antiinflammatory. In this article, through network pharmacology combined with Gene Expression Omnibus data mining and molecular docking, the target and mechanism of Roman chamomile in the treatment of anxiety were discussed, and its efficacy was verified by model animals, which not only clarified its mechanism at the systematic level, but also proved to be effective at the biological level. It provides a reference for the further development and utilization of Roman chamomile.

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Mechanism of Action of Nicotiflorin from Tricyrtis maculata in the Treatment of Acute Myocardial Infarction: From Network Pharmacology to Experimental Pharmacology

“…GO biological function enrichment analysis and KEGG pathway enrichment analysis were carried out on the 58 intersection targets obtained by R language, in which the GO biological function enrichment analysis included three parts, namely, GO biological processes (BPs), GO cellular components (CCs), and GO molecular functions (MFs) to find its possible pathway. 15 …”

“…GO biological function enrichment analysis and KEGG pathway enrichment analysis were carried out on the 58 intersection targets obtained by R language, in which the GO biological function enrichment analysis included three parts, namely, GO biological processes (BPs), GO cellular components (CCs), and GO molecular functions (MFs) to find its possible pathway. 15 Construction of the "Key Components-Core Targets" Network Select the top 20 targets with the median value of the PPI network as the core targets, and the corresponding chemical components as the key components to construct "key components-core targets" network through Cytoscape (3.7.2) software, in which "node" represents the composition or target, and "edge" represents the interaction between nodes. The topological analysis of the target network was conducted using the "Analysis network" tool, in which the greater the degree value, the greater its role in the network.…”