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Abstract

Objective. Through a network pharmacology method, we screened the main active compounds of Citri Reticulatae Pericarpium (CRP), constructed a drug-ingredient-disease-target network, explored the molecular mechanism of its treatment of myocardial hypertrophy, and validated it by using molecular biology approach. Methods. Traditional Chinese Medicine Systems Pharmacology (TCMSP) and GeneCards were utilised to collect the effective component in CRP and the targets of CRP and myocardial hypertrophy. The STRING database constructed the protein interaction network. The drug-ingredient-disease-target network was outlined by the Cytoscape 3.9.0 software. The Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses were conducted using the Metascape database. Real-time PCR (RT-PCR) and Western blotting were utilised to determine the mRNA and protein level of the critical targets of CRP therapy for myocardial hypertrophy. Results. We found that five practical components of CRP exerted therapeutic effects on myocardial hypertrophy by modulating 41 targets. Further analysis revealed that naringenin was the essential active compound in CRP that regulated myocardial hypertrophy. In addition, we showed that the active compounds of CRP might exert antihypertrophy effects via regulating essential target proteins such as AKT1-, MAPK3-, PPARA-, PPARG-, and ESR1-mediated signaling pathways such as cell proliferation, nuclear receptor activation, and oxidative stress. The molecular biology experiments demonstrated that naringenin inhibited the mRNA level of NPPA and NPPB induced by Ang II and regulated related targets such as AKT1, MAPK3, PPARA, PPARG, and ESR1. Conclusion. CRP could inhibit myocardial hypertrophy through multitarget and multiapproach.

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1009240
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Identifier / keyword
Title
Network Pharmacology-Based Strategy for Predicting Therapy Targets of Citri Reticulatae Pericarpium on Myocardial Hypertrophy
Author
Jiang, Shisheng 1   VIAFID ORCID Logo  ; Huang, Chaoming 1   VIAFID ORCID Logo  ; Wang, Shulin 2   VIAFID ORCID Logo  ; Huang, Biyun 1   VIAFID ORCID Logo  ; Wu, Dan 1   VIAFID ORCID Logo  ; Zheng, Guodong 1   VIAFID ORCID Logo  ; Cai, Yi 3   VIAFID ORCID Logo 

 Key Laboratory of Molecular Target & Clinical Pharmacology and the State & NMPA Key Laboratory of Respiratory Disease, School of Pharmaceutical Sciences & The Fifth Affiliated Hospital, Guangzhou Medical University, Guangzhou 511436, China 
 The Sixth Affiliated Hospital of Guangzhou Medical University, Qingyuan People’s Hospital, Guangzhou Medical University, Guangzhou, Qingyuan 511500, China 
 Key Laboratory of Molecular Target & Clinical Pharmacology and the State & NMPA Key Laboratory of Respiratory Disease, School of Pharmaceutical Sciences & The Fifth Affiliated Hospital, Guangzhou Medical University, Guangzhou 511436, China; The Sixth Affiliated Hospital of Guangzhou Medical University, Qingyuan People’s Hospital, Guangzhou Medical University, Guangzhou, Qingyuan 511500, China 
Editor
Chunpeng Wan
Publication title
Volume
2022
Publication year
2022
Publication date
2022
Publisher
John Wiley & Sons, Inc.
Place of publication
New York
Country of publication
United States
ISSN
23146133
e-ISSN
23146141
Source type
Scholarly Journal
Language of publication
English
Document type
Journal Article
Publication history
 
 
Milestone dates
2022-01-22 (Received); 2022-02-12 (Accepted); 2022-03-02 (Pub)
ProQuest document ID
2638546852
Document URL
https://www.proquest.com/scholarly-journals/network-pharmacology-based-strategy-predicting/docview/2638546852/se-2?accountid=208611
Copyright
Copyright © 2022 Shisheng Jiang et al. This is an open access article distributed under the Creative Commons Attribution License (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. https://creativecommons.org/licenses/by/4.0/
Last updated
2025-03-31
Database
2 databases
  • Coronavirus Research Database
  • ProQuest One Academic