Literature DB >> 25000319

Network pharmacology study on the mechanism of traditional Chinese medicine for upper respiratory tract infection.

Xinzhuang Zhang1, Jiangyong Gu, Liang Cao, Na Li, Yiming Ma, Zhenzhen Su, Gang Ding, Lirong Chen, Xiaojie Xu, Wei Xiao.   

Abstract

Traditional Chinese medicine (TCM) is a multi-component and multi-target agent and could treat complex diseases in a holistic way, especially infection diseases. However, the underlying pharmacology remains unclear. Fortunately, network pharmacology by integrating system biology and polypharmacology provides a strategy to address this issue. In this work, Reduning Injection (RDN), a well-used TCM treatment in the clinic for upper respiratory tract infections (URTIs), was investigated to interpret the molecular mechanism and predict new clinical directions by integrating molecular docking, network analysis and cell-based assays. 32 active ingredients and 38 potential targets were identified. In vitro experiments confirmed the bioactivities of the compounds against lipopolysaccharide (LPS)-stimulated PGE2 and NO production in RAW264.7 cells. Moreover, network analysis showed that RDN could not only inhibit viral replication but also alleviate the sickness symptoms of URTIs through directly targeting the key proteins in the respiratory viral life cycle and indirectly regulating host immune systems. In addition, other clinical applications of RDN such as neoplasms, cardiovascular diseases and immune system diseases were predicted on the basis of the relationships between targets and diseases.

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Year:  2014        PMID: 25000319     DOI: 10.1039/c4mb00164h

Source DB:  PubMed          Journal:  Mol Biosyst        ISSN: 1742-2051


  21 in total

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Journal:  Sci Rep       Date:  2014-11-24       Impact factor: 4.379

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Review 10.  Network Pharmacology Studies on the Bioactive Compounds and Action Mechanisms of Natural Products for the Treatment of Diabetes Mellitus: A Review.

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Journal:  Front Pharmacol       Date:  2017-02-23       Impact factor: 5.810

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