Literature DB >> 33152801

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

Yanzhuo Jia1, Junbo Zou1,2, Yao Wang1, Xiaofei Zhang1,2,3, Yajun Shi1,2, Yulin Liang1, Dongyan Guo1,2, Ming Yang3.   

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 anti-inflammatory. 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.
© 2020 Wiley Periodicals LLC.

Entities:  

Keywords:  GEO database; Roman chamomile; anxiety disorder; molecular docking; network pharmacology

Year:  2020        PMID: 33152801     DOI: 10.1111/jfbc.13547

Source DB:  PubMed          Journal:  J Food Biochem        ISSN: 0145-8884            Impact factor:   2.720


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