title: Network pharmacology study on the mechanism of traditional Chinese medicine for upper respiratory tract infection.
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.
authors.affiliation: State Key Laboratory of New-tech for Chinese Medicine Pharmaceutical Process, Kanion Pharmaceutical Corporation, Lianyungang City 222002, P.R. China.
authors.forename: Xinzhuang
authors.initials: X
authors.lastname: Zhang
authors.forename: Jiangyong
authors.initials: J
authors.lastname: Gu
authors.forename: Liang
authors.initials: L
authors.lastname: Cao
authors.forename: Na
authors.initials: N
authors.lastname: Li
authors.forename: Yiming
authors.initials: Y
authors.lastname: Ma
authors.forename: Zhenzhen
authors.initials: Z
authors.lastname: Su
authors.forename: Gang
authors.initials: G
authors.lastname: Ding
authors.forename: Lirong
authors.initials: L
authors.lastname: Chen
authors.forename: Xiaojie
authors.initials: X
authors.lastname: Xu
authors.forename: Wei
authors.initials: W
authors.lastname: Xiao
mesh_terms: D000818:Animals; D000893:Anti-Inflammatory Agents / Q000737:chemistry / Q000494:pharmacology*; D002460:Cell Line; D055598:Chemical Phenomena; D004365:Drugs, Chinese Herbal / Q000737:chemistry / Q000494:pharmacology*; D006801:Humans; D008516:Medicine, Chinese Traditional; D051379:Mice; D008954:Models, Biological; D016571:Neural Networks, Computer; D011485:Protein Binding; D015203:Reproducibility of Results; D012141:Respiratory Tract Infections / Q000188:drug therapy* / Q000378:metabolism
chemical_list: D000893:Anti-Inflammatory Agents; D004365:Drugs, Chinese Herbal