Network Intervention, a Method to Address Complex Therapeutic Strategies

Applying cooperative module pair analysis to uncover compatibility mechanism of Fangjis: An example of Wenxin Keli decoction

ETHNOPHARMACOLOGICAL RELEVANCE

Fangji is an ancient combinatorial formula. The compatibility mechanisms that how component herbs of Fangji work cooperatively to achieve the executive framework remain unexplored.

AIM OF THE STUDY

Toexplore compatibility mechanism and systematical effects of Fangjis by taking Wenxin Keli decoction (WXKL), a classical Fangji constituted by Codonopsis Radix, PolygonatiRhizoma, Notoginseng Radix Et Rhizoma, Ambrum, and Nardostachyos Radix Et Rhizoma., as example.

MAIN METHODS

Here, we employed bioinformatics approach, including cluster analysis, cooperative module pair analysis, primary module identification, and proximity examination among target profile of herbs, to investigate compatibility characterization and anti-arrhythmia mechanism of WXKL. Finally, core mechanisms of WXKL were validatedby in vivo experiments.

RESULTS

As a result, we identified 695 putative target proteins and 27 clusters (W-modules) inWXKL target network (W-network), in which W-module 1, 2, 4, 8, 10 were primary modules. The cooperative module pairs were W-module 2 and 4, W-module 2 and 8, and W-module 2 and 1, all of which existed in Codonopsis Radix- or Notoginseng Radix Et Rhizoma.-condition. And Nardostachyos Radix Et Rhizoma only yielded cooperation between W-module 1 and 2. The proximity of herbs' target profiles of Codonopsis Radix and Notoginseng Radix Et Rhizoma were similar, and Nardostachyos Radix Et Rhizoma and Ambrum were similar. For the compatibility framework, Codonopsis Radix general regulated 70.67% targets and majority W-modules (81.48%) as sovereign herb, contributing to primary therapeutic effect, mainly involving neurohormonal regulation, vasomotor, inflammation and oxidative stress. Other herbs assisted Codonopsis Radix to enhance major outcomes through common modules, and acted as complementary roles through unique process including mitotic cell cycle, biosynthetic and catabolic process, etc. Furthermore, WXKL regulated 66.67% hub proteins of arrhythmia-network, 68.18% and 47.37% proteins in primary arrhythmia-module 1 and 2, mainly involving ion channel activity, neurohormonal regulation, and stress response processes, to constitute regulatory network focusing on cardiovascular, renal, nervous system, to reverse the pathological process of arrhythmia. In vivo experiments demonstrated WXKL can attenuate adrenergic activation induced sympathetic atrial fibrillation by inhibiting calmodulin expression (CaM) and ryanodine receptor 2 (RYR2) phosphorylation to regulate neurohormonal action.

CONCLUSION

This strategy provided an overarching view of anti-arrhythmia mechanism of WXKL and its internal compatibility, and may facilitate the understanding of compatibility in Fangjis from the perspectives of modern biology.

Identifying the Antiproliferative Effect of Astragalus Polysaccharides on Breast Cancer: Coupling Network Pharmacology With Targetable Screening From the Cancer Genome Atlas

Background:Astragalus polysaccharides (APS), natural plant compounds, have recently emerged as a promising strategy for cancer treatment, but little is known concerning their effects on breast cancer (BC) tumorigenesis.

Methods: We obtained breast cancer genetic data from The Cancer Genome Atlas (TCGA) database, network pharmacology to further clarify its biological properties. Survival analysis and molecular docking techniques were implemented for the final screening to obtain key target information. Our experiments focused on the detection of intervention effects of APS on BC cells (MCF-7 and MDA-MB-231), and quantitative RT-PCR (qRT-PCR) was used to assess the expression of key targets.

Results: A total of 1,439 differentially expressed genes (DEGs) were identified by TCGA and used to build disease networks. Module analysis, gene ontology and pathway analysis revealed characteristic of the DEGs network. Topological properties were used to identify key targets, survival analysis and molecular docking finally found that the targets of APS regulation of BC cells may be CCNB1, CDC6, and p53. Through cell viability, migration and invasion assays, we found that APS interferes with the development of breast cancer in MCF7 and MDA-MB-231 cells in a dose-dependent manner. Furthermore, qRT-PCR verification suggested that the expression of CCNB1 and CDC6 in breast cancer cells was significantly downregulated in response to APS, while expression of the tumor suppressor gene P53 was significantly increased.

Conclusion: Results of this study suggest therapeutic potential for APS in BC treatment, possibly through interventions with CCNB1, CDC6, and P53. Furthermore, these findings illustrate the feasibility of using network pharmacology to connect large-scale target data as a way to discover the mechanism of natural products interfering with disease.