Literature DB >> 31760157

Identifying cancer-related molecular targets of Nandina domestica Thunb. by network pharmacology-based analysis in combination with chemical profiling and molecular docking studies.

Kamilia F Taha1, Marwa Khalil1, Marwa S Abubakr2, Eman Shawky3.   

Abstract

ETHNOPHARMACOLOGICAL RELEVANCE: The fruits of Nandina domestica Thunb. have served as folk medicines in Chinese and Japanese tradition for treatment of several tumors including pharynx tumor and tooth abscess for many years, yet its exact mechanism of action is not yet known. AIM OF THE STUDY: The study targets the identification of the main constituents of the fruits extracts and investigation of their mode of action in cancer therapy via pharmacology-based analysis and molecular docking.
MATERIALS AND METHODS: The different extracts of N. domestica Thunb. were analyzed via UPLC-MS/MS for identification of their active constituents. STITCH, DAVID, KEGG and STRING database were utilized for construction of compound-target and compound-target-pathway networks using Cytoscape 3.2.1. Molecular docking analysis of the top hit compounds was performed against the identified top hit molecular targets in the constructed networks. In vitro-testing of Nandina domestica Thunb. against colorectal cancer cell lines was carried out and correlated to the chemical profile of the extract to identify important biomarkers. The ADME properties of the active compounds were also evaluated.
RESULTS: 22 compounds were identified by UPLC-MS/MS analysis and were forwarded to network pharmacology-based analysis. Results showed the enrichment of 5 compounds and 4 molecular targets in the network namely; AKT1, CASP3, MAPK1 and TP53. The pathway analysis of the identified targets revealed that 15 cancer-related pathways were enriched including colorectal cancer, endometrial cancer and small-cell lung cancer. In-vitro testing of the extracts against colo-rectal cancer cell lines revealed the fractions enriched in the identified hit compounds were indeed the most active as revealed from the HCA-heat-map. ADME results showed that all compounds were drug-like candidates showing acceptable values according to Lipinski's rule.
CONCLUSIONS: Network pharmacology analysis revealed that the compounds isoquercitrin, quercitrin, berberine, chlorogenic acid and caffeic acid showed strong synergistic interactions with the cancer-related targets and pathways. It could be concluded that N. domestica Thunb. constituents affect both apoptosis and Akt-signaling pathways during the stages of early and intermediate adenoma through interaction with the targets CASP3 and MAPK1 (ErC2) while during the stages of late adenoma and carcinoma, the compounds acts through the p53 and ErbB signaling pathways.
Copyright © 2019 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Cytotoxicity; Molecular docking; Nandina domestica Thunb.; Network pharmacology; Pathway analysis; UPLC-MS/MS

Mesh:

Substances:

Year:  2019        PMID: 31760157     DOI: 10.1016/j.jep.2019.112413

Source DB:  PubMed          Journal:  J Ethnopharmacol        ISSN: 0378-8741            Impact factor:   4.360


  9 in total

1.  Exploration of the Effect and Potential Mechanism of Echinacoside Against Endometrial Cancer Based on Network Pharmacology and in vitro Experimental Verification.

Authors:  Wan Shu; Ziwei Wang; Rong Zhao; Rui Shi; Jun Zhang; Wei Zhang; Hongbo Wang
Journal:  Drug Des Devel Ther       Date:  2022-06-16       Impact factor: 4.319

2.  Isoquercitrin protects HUVECs against high glucose‑induced apoptosis through regulating p53 proteasomal degradation.

Authors:  Libo Liu; Sihui Huang; Man Xu; Yan Gong; Dan Li; Chunxia Wan; Haiming Wu; Qizhu Tang
Journal:  Int J Mol Med       Date:  2021-05-13       Impact factor: 4.101

Review 3.  Artificial intelligence to deep learning: machine intelligence approach for drug discovery.

Authors:  Rohan Gupta; Devesh Srivastava; Mehar Sahu; Swati Tiwari; Rashmi K Ambasta; Pravir Kumar
Journal:  Mol Divers       Date:  2021-04-12       Impact factor: 3.364

4.  Integrated Systems Pharmacology and Surface Plasmon Resonance Approaches to Reveal the Synergistic Effect of Multiple Components of Gu-Ben-Ke-Chuan Decoction on Chronic Bronchitis.

Authors:  Zhiqiang Luo; Guohua Yu; Wubin Wang; Rui Sun; Binbin Zhang; Jing Wang; Jing Liu; Shan Gao; Peng Wang; Yuanyuan Shi
Journal:  J Inflamm Res       Date:  2021-04-15

5.  Exploration of the Mechanism of Lianhua Qingwen in Treating Influenza Virus Pneumonia and New Coronavirus Pneumonia with the Concept of "Different Diseases with the Same Treatment" Based on Network Pharmacology.

Authors:  Huihui Su; Guosong Wu; Lulu Zhan; Fei Xu; Huiqin Qian; Yanling Li; Ximei Zhu
Journal:  Evid Based Complement Alternat Med       Date:  2022-02-08       Impact factor: 2.629

6.  Network Pharmacology Prediction and Molecular Docking-Based Strategy to Discover the Potential Pharmacological Mechanism of Wen-Yu-Jin against Pulmonary Fibrosis in a Mouse Model.

Authors:  Lu Wang; Wenxiang Zhu; Rui Sun; Jing Liu; Qihong Ma; Binbin Zhang; Yuanyuan Shi
Journal:  Evid Based Complement Alternat Med       Date:  2022-02-10       Impact factor: 2.629

7.  Network Pharmacology and Molecular Docking on the Molecular Mechanism of Jiawei-Huang Lian-Gan Jiang Decoction in the Treatment of Colorectal Adenomas.

Authors:  Shuangshuang Ji; Sidan Long; Yang Yang; Zihao Liu; Rui Wang; Huifen Zhang; Shuxin Zhang
Journal:  Evid Based Complement Alternat Med       Date:  2022-07-18       Impact factor: 2.650

8.  Metabolic profiling of Lantana camara L. using UPLC-MS/MS and revealing its inflammation-related targets using network pharmacology-based and molecular docking analyses.

Authors:  Alaa A El-Banna; Reham S Darwish; Doaa A Ghareeb; Abdelrahman M Yassin; Shaymaa A Abdulmalek; Hend M Dawood
Journal:  Sci Rep       Date:  2022-09-01       Impact factor: 4.996

Review 9.  Anti-Cancer Effects of Green Tea Epigallocatchin-3-Gallate and Coffee Chlorogenic Acid.

Authors:  Sumio Hayakawa; Tomokazu Ohishi; Noriyuki Miyoshi; Yumiko Oishi; Yoriyuki Nakamura; Mamoru Isemura
Journal:  Molecules       Date:  2020-10-05       Impact factor: 4.411

  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.