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In This Article

  • Summary
  • Abstract
  • Introduction
  • Protocol
  • Representative Results
  • Discussion
  • Acknowledgements
  • Materials
  • References
  • Reprints and Permissions

Summary

This study reveals the mechanism of Trichosanthes-Fritillaria thunbergii in treating lung adenocarcinoma based on network pharmacology and experimental verification. The study also demonstrates that the PI3K/AKT signaling pathway plays a vital role in the action of Trichosanthes-Fritillaria thunbergii in treating lung adenocarcinoma.

Abstract

We aimed to study the mechanism of Trichosanthes-Fritillaria thunbergii in treating lung adenocarcinoma (LUAD) based on network pharmacology and experimental verification. The effective components and potential targets of Trichosanthis and Fritillaria thunbergii were collected by high-throughput experiment and reference-guided (HERB) database of traditional Chinese medicine and a similarity ensemble approach (SEA) database, and the LUAD-related targets were queried by the GeneCards and Online Mendelian Inheritance in Man (OMIM) databases. A drug-component-disease-target network was constructed by Cytoscape software. Protein-protein interaction (PPI) network, gene ontology (GO) function, and Kyoto encyclopedia of genes and genomes (KEGG) pathway enrichment analyses were conducted to obtain core targets and key pathways. An aqueous extract of Trichosanthes-Fritillaria thunbergii and A549 cells were used for the subsequent experimental validation. Through the HERB database and literature search, 31 effective compounds and 157 potential target genes of Trichosanthes-Fritillaria thunbergii were screened, of which 144 were regulatory targets of Trichosanthes-Fritillaria thunbergii in the treatment of lung adenocarcinoma. The GO functional enrichment analysis showed that the mechanism of action of Trichosanthes-Fritillaria thunbergii against lung adenocarcinoma is mainly protein phosphorylation. The KEGG pathway enrichment analysis suggested that the treatment of lung adenocarcinoma by Trichosanthes-Fritillaria thunbergii mainly involves the PI3K/AKT signaling pathway. The experimental validation showed that an aqueous extract of Trichosanthes-Fritillaria thunbergii could inhibit the proliferation of A549 cells and the phosphorylation of AKT. Through network pharmacology and experimental validation, it was verified that the PI3K/AKT signaling pathway plays a vital role in the action of Trichosanthes-Fritillaria thunbergii in treating lung adenocarcinoma.

Introduction

Lung cancer refers to malignant tumors originating from the lung bronchial mucosa, including squamous cell carcinoma, adenocarcinoma, large cell carcinoma, and small cell carcinoma1. Lung adenocarcinoma (LUAD) is the most common type of lung cancer, accounting for about 40% of the total lung cancer cases2. Most patients are diagnosed at an advanced stage or have remote metastasis and, thus, lose the opportunity of surgery3. In current clinical treatment, concurrent chemoradiotherapy is the most common strategy for treating LUAD, but its application is limited due to serious adverse reactions

Protocol

All the network pharmacology procedures were carried out in accordance with the Guidelines for Network Pharmacology Evaluation Methods18. All the experimental procedures were performed in accordance with the laboratory management regulations of the Beijing University of Chinese Medicine.

1. Network pharmacological prediction

  1. Selection of active components
    1. Open the HERB database (http://herb.ac.cn)19, and u.......

Representative Results

A total of 31 Trichosanthes-Fritillaria thunbergii-related active components were identified, including 21 Trichosanthes and 10 Fritillaria thunbergia components, as well as 144 corresponding targets. Overall, 9,049 and 67 LUAD-related genes were extracted from the GeneCards database and the OMIM database, respectively. After deleting duplicated genes, 9,057 genes related to LUAD were identified. The intersection of the LUAD-related genes and Trichosanthes-Fritillaria thunbergii active.......

Discussion

Generally, a complete network pharmacology study includes the identification of active components from databases, the acquisition of targets corresponding to active components and diseases, the construction of a drug-component-disease-target network, and the prediction of core targets and pathways. The association between active components and core proteins (molecular docking) is preliminarily predicted by computer technology, and the final verification is conducted using an experiment.

The se.......

Acknowledgements

This study was supported by the Innovation Training Program of Beijing University of Chinese Medicine (No: 202110026036).

....

Materials

NameCompanyCatalog NumberComments
0.25% trypsin-EDTAGibcoR001100
A549 cell lineProcellCL-0016
AKT antibodyCST4691S
BCA Protein Assay KitSolarbioPC0020
Chemiluminescence detection systemShanghai Qinxiang Scientific Instrument FactoryChemiScope 6100
Dulbecco's modified eagle medium (DMEM)Solarbio11995
Enhanced chemiluminescence (ECL) kit ABclonalRM00021
Fetal bovine serumScienCell0025
HRP Goat Anti-Rabbit IgG (H+L)ABclonalAS014
MTS assay kitPromegaG3580
p-AKT antibodyCST6040S
Penicillin streptomycinGibcoC14-15070-063
Phenylmethanesulfonyl fluoride (PMSF)SolarbioP0100
Phosphatase inhibitorBeyotimeP1081
Phosphate buffered saline (PBS)SolarbioP1020
Polyvinylidene difluoride (PVDF) membranesMilliporeISEQ00010
RIPA lysis solutionSolarbioR0010
Rotary evaporatorShanghai Yarong Biochemical Instrument FactoryRE52CS-1
Vacuum freeze-drying mechanismNingbo Scientz BiotechnologySCIENTZ-10
β-Actin antibodyABclonalAC026

References

  1. Thai, A. A., Solomon, B. J., Sequist, L. V., Gainor, J. F., Heist, R. S. Lung cancer. The Lancet. 398 (10299), 535-554 (2021).
  2. Sinha, A., et al. Early-stage lung adenocarcinoma MDM2 genomic amplification predicts clinical o....

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Network PharmacologyTraditional Chinese MedicineMulticomponentTarget PredictionBiological ValidationLung AdenocarcinomaTrichosanthesFritillaria ThunbergiiHERB DatabaseSMILESSwiss ADMESimilarity Ensemble ApproachGeneCardsOMIM

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