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Molecular Mechanisms of Notopterygii rhizoma Et Radix for Treating Arrhythmia Based on Network Pharmacology

OBJECTIVE: To explore the possible mechanism for treating NRR in arrhythmia using network pharmacology and molecular docking in this study. METHODS: Active compounds and targets for NRR were retrieved from the Traditional Chinese Medicine Systems Pharmacology (TCMSP) Database and Analysis Platform,...

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Autores principales: Wei, Penglu, Shang, Juju, Liu, Hongxu, Xing, Wenlong, Tan, Yupei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Bentham Science Publishers 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10242764/
https://www.ncbi.nlm.nih.gov/pubmed/36321231
http://dx.doi.org/10.2174/1386207326666221031122803
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author Wei, Penglu
Shang, Juju
Liu, Hongxu
Xing, Wenlong
Tan, Yupei
author_facet Wei, Penglu
Shang, Juju
Liu, Hongxu
Xing, Wenlong
Tan, Yupei
author_sort Wei, Penglu
collection PubMed
description OBJECTIVE: To explore the possible mechanism for treating NRR in arrhythmia using network pharmacology and molecular docking in this study. METHODS: Active compounds and targets for NRR were retrieved from the Traditional Chinese Medicine Systems Pharmacology (TCMSP) Database and Analysis Platform, SymMap, and the Encyclopedia of Traditional Chinese Medicine (ETCM) databases. Arrhythmia-related genes were acquired from the Comparative Toxicogenomics Database (CTD) and the GeneCards database. Overlapping targets of NRR associated with arrhythmia were acquired and displayed via a Venn diagram. DAVID was applied for GO and KEGG pathway analyses. Cytoscape software and its plug-in were used for PPI network construction, module division and hub nodes screening. AutoDock Vina and qRT-PCR were carried out for validation. RESULTS: In total, 21 active compounds and 57 targets were obtained. Of these, coumarin was the predominant category which contained 15 components and 31 targets. There were 5 key targets for NRR in treating arrhythmia. These targets are involved in the apoptotic process, extrinsic apoptotic signaling pathway in the absence of ligand, and endopeptidase activity involved in the apoptotic process by cytochrome c. The main pathways were the p53 signaling pathway, Hepatitis B and apoptosis. The molecular docking and qRT-PCR displayed good effects on hub node regulation in NRR treatment. CONCLUSION: NRR plays an important role in anti-apoptotic mechanisms that modulate the p53 signaling pathway, which may provide insight for future research and clinical applications focusing on arrhythmia therapy.
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spelling pubmed-102427642023-06-07 Molecular Mechanisms of Notopterygii rhizoma Et Radix for Treating Arrhythmia Based on Network Pharmacology Wei, Penglu Shang, Juju Liu, Hongxu Xing, Wenlong Tan, Yupei Comb Chem High Throughput Screen Applied Chemistry, Biochemical Research Methods OBJECTIVE: To explore the possible mechanism for treating NRR in arrhythmia using network pharmacology and molecular docking in this study. METHODS: Active compounds and targets for NRR were retrieved from the Traditional Chinese Medicine Systems Pharmacology (TCMSP) Database and Analysis Platform, SymMap, and the Encyclopedia of Traditional Chinese Medicine (ETCM) databases. Arrhythmia-related genes were acquired from the Comparative Toxicogenomics Database (CTD) and the GeneCards database. Overlapping targets of NRR associated with arrhythmia were acquired and displayed via a Venn diagram. DAVID was applied for GO and KEGG pathway analyses. Cytoscape software and its plug-in were used for PPI network construction, module division and hub nodes screening. AutoDock Vina and qRT-PCR were carried out for validation. RESULTS: In total, 21 active compounds and 57 targets were obtained. Of these, coumarin was the predominant category which contained 15 components and 31 targets. There were 5 key targets for NRR in treating arrhythmia. These targets are involved in the apoptotic process, extrinsic apoptotic signaling pathway in the absence of ligand, and endopeptidase activity involved in the apoptotic process by cytochrome c. The main pathways were the p53 signaling pathway, Hepatitis B and apoptosis. The molecular docking and qRT-PCR displayed good effects on hub node regulation in NRR treatment. CONCLUSION: NRR plays an important role in anti-apoptotic mechanisms that modulate the p53 signaling pathway, which may provide insight for future research and clinical applications focusing on arrhythmia therapy. Bentham Science Publishers 2023-04-04 2023-04-04 /pmc/articles/PMC10242764/ /pubmed/36321231 http://dx.doi.org/10.2174/1386207326666221031122803 Text en © 2023 Bentham Science Publishers https://creativecommons.org/licenses/by-nc/4.0/ This is an open access article licensed under the terms of the Creative Commons Attribution-Non-Commercial 4.0 International Public License (CC BY-NC 4.0) (https://creativecommons.org/licenses/by-nc/4.0/), which permits unrestricted, non-commercial use, distribution and reproduction in any medium, provided the work is properly cited.
spellingShingle Applied Chemistry, Biochemical Research Methods
Wei, Penglu
Shang, Juju
Liu, Hongxu
Xing, Wenlong
Tan, Yupei
Molecular Mechanisms of Notopterygii rhizoma Et Radix for Treating Arrhythmia Based on Network Pharmacology
title Molecular Mechanisms of Notopterygii rhizoma Et Radix for Treating Arrhythmia Based on Network Pharmacology
title_full Molecular Mechanisms of Notopterygii rhizoma Et Radix for Treating Arrhythmia Based on Network Pharmacology
title_fullStr Molecular Mechanisms of Notopterygii rhizoma Et Radix for Treating Arrhythmia Based on Network Pharmacology
title_full_unstemmed Molecular Mechanisms of Notopterygii rhizoma Et Radix for Treating Arrhythmia Based on Network Pharmacology
title_short Molecular Mechanisms of Notopterygii rhizoma Et Radix for Treating Arrhythmia Based on Network Pharmacology
title_sort molecular mechanisms of notopterygii rhizoma et radix for treating arrhythmia based on network pharmacology
topic Applied Chemistry, Biochemical Research Methods
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10242764/
https://www.ncbi.nlm.nih.gov/pubmed/36321231
http://dx.doi.org/10.2174/1386207326666221031122803
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