| The disease therapeutic strategy is translating from the mode of "one disease-one target" to "disease network-multi target" recently, which has gained some achievements. The emergence of systems pharmacology will provide a platform to these study. Traditional Chinese Medicine (TCM) is a rich natural resource for drug discovery which has been successfully used to treat many disorders, especially complex disease. And it has made lots of excellent performance. Due to the feature of daunting complexity of compounds and multi-targets acting on multi-approach to cure disease, it is extremely difficult to systematic explain the action mechanisms using the current strategy adequately. In order to explain the systematic mechanism of TCMs in curing disease, under the theory of systems pharmacology, in this study, we have built a signaling pathways network based strategy at first. And then, this strategy was used to detect the functional compounds and molecular mechanism of Reduning injection (RDN) in anti-inflammation effect. After the in silico analysis, the in vitro experiments were carried out to evaluate the bioprocess of RDN in combating with inflammation. In addition, three maker chemical compounds were singled out based on preliminary research to study the potential joint-action effects designed in this formula. The results indicated that RDN mainly acts on the NF-κB and MAPKs pathways comprehensively, through the mutual accentuation, counteraction and antagonism effects, the genes associated with inflammation were modified to anti-virus and regulate inflammation. At the end of the study, a preliminary discussion on diseases therapy and new drug discovery were explored based on signaling pathways under the study of diseases network. This study attempts to offer a novel thinking for deep understanding of pharmacology of TCMs in curing diseases, as well as a methodology for complex disease therapy and drug discovery. |
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