Toutongning capsule (TTNC) is a traditional Chinese medicine(TCM) with good effect for treating migraine in clinical application. In this paper, a systems pharmacology method was carried out to study the TNF mechanism of the TTNC on the migraine. First, the ingredients for TTNC were collected from TCM databases, and ADME properties prediction was firstly applied to screen out the active compounds of TTNC. Then, the target searching and identification was performed by using CSDT model, and the targets were mapped to the migraine disease to determine the active targets through some common databases like TTD. To obtain the targets related with TNF signaling pathway, KEGG pathway analysis was performed by DAVID online analysis tool. Finally, the "herbs-compounds-targets" network was built by Cytoscape software. According to the results of degree and betweenness in the network, the key active compounds and targets were determined to explore the TNF mechanism for TTNC. Results showed that 19 active compounds and 8 targets played a crucial role in the treatment of migraine by TNF pathway for TTNC. This work provided a new perspective to deepen the understanding of the TNF signaling pathway mechanism in migraine treatment by TTNC, and may provide a necessary theoretical basis for the determination of effective markers and the clinical research of this medicine.
Keywords: TNF signaling pathway; Toutongning capsule; migraine; systems pharmacology.
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