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Systems pharmacology approach to investigate the molecular mechanisms of herb Rhodiola rosea L. radix

系统药理学 广告 药理学 计算生物学 生物信息学 系统生物学 作用机理 药品 生物 医学 基因 生物化学 体外
作者
Wenjuan Zhang,Ying Huai,Zhiping Miao,Chu Chen,Mohamed Shahen,Siddiq Ur Rahman,Mahmoud Alagawany,Mohamed E. Abd El‐Hack,Heping Zhao,Airong Qian
出处
期刊:Drug Development and Industrial Pharmacy [Taylor & Francis]
卷期号:45 (3): 456-464 被引量:10
标识
DOI:10.1080/03639045.2018.1546316
摘要

Rhodiola rosea L. radix (RRL) is one of the most popular medical herb which has been widely used for the treatment of different diseases effectively, including cardiovascular diseases and nerve system diseases. However, due to the multiple compounds in RRL, the underlying molecular mechanisms of RRL are remained unclear. To decipher the action mechanisms of RRL from a systematic perspective, a systems pharmacology approach integrated absorption, distribution, metabolism, and excretion (ADME) system, drug targeting, and network analysis was introduced. First, by the ADME screening system and the target fishing process, 56 potential active compounds and 62 targets were obtained, respectively. In addition, compound-target network demonstrated that most compounds interacted with multiple targets, indicating that RRL may enhance its therapeutic effects probably through hitting on multiple targets in a holistic level. Moreover, target-pathway network and gene ontology analysis showed that multiple targets of RRL were involved in several biological pathways, i.e. Neuroactive ligand-receptor interaction, calcium signaling pathway, adrenergic signaling in cardiomyocytes, and VEGF signaling pathway, which dissecting the therapeutic effects of RRL on various diseases, such as cardiovascular diseases, depression, adaptation diseases, etc. In summary, this work successfully explains the potential active compounds and the multi-scale curative action mechanisms of RRL for treating various diseases; meanwhile, it implies that RRL could be applied as a novel therapeutic agent in arthritic diseases. Most importantly, this work provides an in silico strategy to understand the action mechanisms of herbal medicines from molecular/system levels, which will promote the new drug development of traditional Chinese medicine.
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