Abstract

Danggui Sini Decoction (DSD), a classic Chinese herb medicine (CHM) formula, has been used to treat various diseases in China for centuries. However, it remains challenging to reveal its mechanism of action through conventional pharmacological methods. Here, we first explored the mechanism of action of DSD with the assistance of network pharmacology and bioinformatic analysis tools, and found a potential therapeutic effect of DSD on cancer. Indeed, our in vivo experiment demonstrated that oral administration of DSD could significantly inhibit the growth of xenografted gastric cancer (GC) on mice. The subsequent enrichment analyses for 123 candidate core targets evacuated from the drug/disease-target protein-protein interaction network showed that DSD could affect the key biological processes involving the survival and growth of GC cells, such as apoptosis and cell cycle, and the disturbance of these biological processes is likely attributed to the simultaneous inhibition of multiple signaling pathways, including PI3K/Akt, MAPK, and p53 pathways. Notably, these in silico results were further validated by a series of cellular functional and molecular biological assays in vitro. Moreover, molecular docking analysis suggested an important role of MCM2 in delivering the pharmacological activity of DSD against GC. Together, these results indicate that our network pharmacology and bioinformatics-guided approach is feasible and useful in exploring not only the mechanism of action, but also the “new use” of the old CHM formula.

Highlights

  • Characterized by its holistic concept and the theory of Zheng differentiation, Traditional Chinese medicine (TCM) has been widely used to treat various diseases in China for thousands of years (Tang et al, 2008)

  • To explore the action mechanism of Danggui Sini Decoction (DSD), we first conducted a virtual study of combined oral bioavailability (OB) screening with DL evaluation to identify the active ingredients in DSD

  • We explored the drug targets for the above candidate ingredients in DSD using Traditional Chinese Medicine Systems Pharmacology (TCMSP) and SwissTargetPrediction databases, which resulted in a total of 243 putative targets for the 66 candidate ingredients (Figure 1C)

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Summary

Introduction

Characterized by its holistic concept and the theory of Zheng (syndrome) differentiation, Traditional Chinese medicine (TCM) has been widely used to treat various diseases in China for thousands of years (Tang et al, 2008). As a key component of TCM, Chinese herbal medicine (CHM) offers a promising perspective for treating complex diseases such as cancer owing to its “multi-ingredient, multi-target, and multi-function” pharmacological characteristics (Ling et al, 2014; Liu et al, 2016). To reveal the scientific basis of CHM at the molecular level and in a systematic manner is still a great challenge when using conventional approaches, as the diversity of the ingredients in CHM and the complexity of the diseases themselves greatly complicate the mechanism of action study on CHM (Hsiao and Liu, 2010; Li and Zhang, 2013). It may provide a deeper insight into the action mechanism of CHM in a holistic view, and a potential tool to explore new applications of CHM in a systematic manner (Li, 2011; Li and Zhang, 2013)

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