» Articles » PMID: 33628171

An Integrated Strategy for Effective-Component Discovery of Astragali Radix in the Treatment of Lung Cancer

Overview
Journal Front Pharmacol
Date 2021 Feb 25
PMID 33628171
Citations 14
Authors
Affiliations
Soon will be listed here.
Abstract

Lung cancer is one of the most devastating diseases worldwide, with high incidence and mortality worldwide, and the anticancer potential of traditional Chinese medicine (TCM) has been gradually recognized by the scientific community. Astragali Radix (AR) is commonly used in traditional Chinese medicine in the treatment of lung cancer and has a certain clinical effect, but effective components and targets are still unclear. In the study, we established an integrated strategy for effective-component discovery of AR in the treatment of lung cancer based on a variety of techniques. First, the effective components and potential targets of AR were deciphered by the "component-target-disease" network using network pharmacology, and potential signal pathways on lung cancer were predicted by Gene Ontology (GO) biological function enrichment analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses. Then, the therapeutic effects of AR in the treatment of lung cancer were evaluated using A/J mice, and the potential targets related to autophagy and potential signal pathway were verified by Western blot analysis, immunofluorescence staining, and real-time PCR technology at protein and gene expression level. Finally, metabolism by rat intestinal flora and cell membrane immobilized chromatography technology were used to screen the effective components of AR in the treatment of lung cancer, and remaining components from the cell immobilized chromatography were collected and analyzed by ultra-performance liquid chromatography-electrospray quadrupole time-of-flight mass spectrometry (UPLC-Q-TOF-MS). The screening results of the integrated strategy showed that calycosin-7-O-β-D-glucoside, ononin, calycosin, astragaloside IV, astragaloside II, cycloastragenol, and formononetin may be effective components of AR in the treatment of lung cancer, and they may play a role in the treatment of lung cancer through autophagy and p53/AMPK/mTOR signaling pathway. The integrated strategy for effective-component discovery provided a valuable reference mode for finding the pharmacodynamic material basis of complex TCM systems. In addition, the prediction for targets and signal pathways laid a foundation for further study on the mechanism of AR in the treatment of lung cancer.

Citing Articles

Exploring the Role of CBX3 as a Potential Therapeutic Target in Lung Cancer.

Wahab M, Del Gaudio N, Gargiulo B, Quagliariello V, Maurea N, Nebbioso A Cancers (Basel). 2024; 16(17).

PMID: 39272883 PMC: 11394081. DOI: 10.3390/cancers16173026.


Integrating network pharmacology and animal experimental validation to investigate the action mechanism of oleanolic acid in obesity.

Liu T, Wang J, Tong Y, Wu L, Xie Y, He P J Transl Med. 2024; 22(1):86.

PMID: 38246999 PMC: 10802007. DOI: 10.1186/s12967-023-04840-x.


A Multi-Component Nano-Co-Delivery System Utilizing Astragalus Polysaccharides as Carriers for Improving Biopharmaceutical Properties of Astragalus Flavonoids.

Yang B, Wu X, Zeng J, Song J, Qi T, Yang Y Int J Nanomedicine. 2023; 18:6705-6724.

PMID: 38026532 PMC: 10656867. DOI: 10.2147/IJN.S434196.


Drug screening and biomarker gene investigation in cancer therapy through the human transcriptional regulatory network.

He Z, Gao K, Dong L, Liu L, Qu X, Zou Z Comput Struct Biotechnol J. 2023; 21:1557-1572.

PMID: 36879883 PMC: 9984461. DOI: 10.1016/j.csbj.2023.02.005.


A Study of the Mechanisms and Characteristics of Fluorescence Enhancement for the Detection of Formononetin and Ononin.

Cao J, Li T, Liu T, Zheng Y, Liu J, Yang Q Molecules. 2023; 28(4).

PMID: 36838530 PMC: 9958771. DOI: 10.3390/molecules28041543.


References
1.
Yu Y, Hou L, Song H, Xu P, Sun Y, Wu K . Akt/AMPK/mTOR pathway was involved in the autophagy induced by vitamin E succinate in human gastric cancer SGC-7901 cells. Mol Cell Biochem. 2016; 424(1-2):173-183. DOI: 10.1007/s11010-016-2853-4. View

2.
Wang X, Shen Y, Wang S, Li S, Zhang W, Liu X . PharmMapper 2017 update: a web server for potential drug target identification with a comprehensive target pharmacophore database. Nucleic Acids Res. 2017; 45(W1):W356-W360. PMC: 5793840. DOI: 10.1093/nar/gkx374. View

3.
Liu G, Pei F, Yang F, Li L, Amin A, Liu S . Role of Autophagy and Apoptosis in Non-Small-Cell Lung Cancer. Int J Mol Sci. 2017; 18(2). PMC: 5343902. DOI: 10.3390/ijms18020367. View

4.
Zhou F, Yang Y, Xing D . Bcl-2 and Bcl-xL play important roles in the crosstalk between autophagy and apoptosis. FEBS J. 2010; 278(3):403-13. DOI: 10.1111/j.1742-4658.2010.07965.x. View

5.
Fishilevich S, Zimmerman S, Kohn A, Iny Stein T, Olender T, Kolker E . Genic insights from integrated human proteomics in GeneCards. Database (Oxford). 2016; 2016. PMC: 4820835. DOI: 10.1093/database/baw030. View