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Transcriptome sequencing and network pharmacology-based approach to reveal the effect and mechanism of Ji Chuan Jian against Parkinson’s disease

BACKGROUND: Ji Chuan Jian (JCJ), a classic Traditional Chinese Medicine (TCM) formula, has been widely applied in treating Parkinson’s disease (PD) in China, However, the interaction of bioactive compounds from JCJ with the targets involved in PD remains elusive. METHODS: Based on the transcriptome...

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Autores principales: Wu, Yao, Bai, Yu, Lu, Yan, Zhang, Zhennian, Zhao, Yang, Huang, Sirui, Tang, Lili, Liang, Yan, Hu, Yue, Xu, Chengcheng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10239169/
https://www.ncbi.nlm.nih.gov/pubmed/37270490
http://dx.doi.org/10.1186/s12906-023-03999-6
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author Wu, Yao
Bai, Yu
Lu, Yan
Zhang, Zhennian
Zhao, Yang
Huang, Sirui
Tang, Lili
Liang, Yan
Hu, Yue
Xu, Chengcheng
author_facet Wu, Yao
Bai, Yu
Lu, Yan
Zhang, Zhennian
Zhao, Yang
Huang, Sirui
Tang, Lili
Liang, Yan
Hu, Yue
Xu, Chengcheng
author_sort Wu, Yao
collection PubMed
description BACKGROUND: Ji Chuan Jian (JCJ), a classic Traditional Chinese Medicine (TCM) formula, has been widely applied in treating Parkinson’s disease (PD) in China, However, the interaction of bioactive compounds from JCJ with the targets involved in PD remains elusive. METHODS: Based on the transcriptome sequencing and network pharmacology approaches, the chemical compounds of JCJ and gene targets for treating PD were identified. Then, the Protein-protein interaction (PPI) and “Compound-Disease-Target” (C-D-T) network were constructed by using of Cytoscape. Gene Ontology (GO) enrichment analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis were applied to these target proteins. Finally, AutoDock Vina was used for applying molecular docking. RESULTS: In the present study, a total number of 2669 differentially expressed genes (DEGs) were identified between PD and healthy controls using whole transcriptome RNA sequencing. Then, 260 targets of 38 bioactive compounds in JCJ were identified. Of these targets, 47 were considered PD-related targets. Based on the PPI degree, the top 10 targets were identified. In C-D-T network analysis, the most important anti-PD bioactive compounds in JCJ were determined. Molecular docking revealed that potential PD-related targets, matrix metalloproteinases-9 (MMP9) were more stably bound with naringenin, quercetin, baicalein, kaempferol and wogonin. CONCLUSION: Our study preliminarily investigated the bioactive compounds, key targets, and potential molecular mechanism of JCJ against PD. It also provided a promising approach for identifying the bioactive compounds in TCM as well as a scientific basis for further elucidating the mechanism of TCM formulae in treating diseases. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12906-023-03999-6.
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spelling pubmed-102391692023-06-04 Transcriptome sequencing and network pharmacology-based approach to reveal the effect and mechanism of Ji Chuan Jian against Parkinson’s disease Wu, Yao Bai, Yu Lu, Yan Zhang, Zhennian Zhao, Yang Huang, Sirui Tang, Lili Liang, Yan Hu, Yue Xu, Chengcheng BMC Complement Med Ther Research BACKGROUND: Ji Chuan Jian (JCJ), a classic Traditional Chinese Medicine (TCM) formula, has been widely applied in treating Parkinson’s disease (PD) in China, However, the interaction of bioactive compounds from JCJ with the targets involved in PD remains elusive. METHODS: Based on the transcriptome sequencing and network pharmacology approaches, the chemical compounds of JCJ and gene targets for treating PD were identified. Then, the Protein-protein interaction (PPI) and “Compound-Disease-Target” (C-D-T) network were constructed by using of Cytoscape. Gene Ontology (GO) enrichment analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis were applied to these target proteins. Finally, AutoDock Vina was used for applying molecular docking. RESULTS: In the present study, a total number of 2669 differentially expressed genes (DEGs) were identified between PD and healthy controls using whole transcriptome RNA sequencing. Then, 260 targets of 38 bioactive compounds in JCJ were identified. Of these targets, 47 were considered PD-related targets. Based on the PPI degree, the top 10 targets were identified. In C-D-T network analysis, the most important anti-PD bioactive compounds in JCJ were determined. Molecular docking revealed that potential PD-related targets, matrix metalloproteinases-9 (MMP9) were more stably bound with naringenin, quercetin, baicalein, kaempferol and wogonin. CONCLUSION: Our study preliminarily investigated the bioactive compounds, key targets, and potential molecular mechanism of JCJ against PD. It also provided a promising approach for identifying the bioactive compounds in TCM as well as a scientific basis for further elucidating the mechanism of TCM formulae in treating diseases. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12906-023-03999-6. BioMed Central 2023-06-03 /pmc/articles/PMC10239169/ /pubmed/37270490 http://dx.doi.org/10.1186/s12906-023-03999-6 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Wu, Yao
Bai, Yu
Lu, Yan
Zhang, Zhennian
Zhao, Yang
Huang, Sirui
Tang, Lili
Liang, Yan
Hu, Yue
Xu, Chengcheng
Transcriptome sequencing and network pharmacology-based approach to reveal the effect and mechanism of Ji Chuan Jian against Parkinson’s disease
title Transcriptome sequencing and network pharmacology-based approach to reveal the effect and mechanism of Ji Chuan Jian against Parkinson’s disease
title_full Transcriptome sequencing and network pharmacology-based approach to reveal the effect and mechanism of Ji Chuan Jian against Parkinson’s disease
title_fullStr Transcriptome sequencing and network pharmacology-based approach to reveal the effect and mechanism of Ji Chuan Jian against Parkinson’s disease
title_full_unstemmed Transcriptome sequencing and network pharmacology-based approach to reveal the effect and mechanism of Ji Chuan Jian against Parkinson’s disease
title_short Transcriptome sequencing and network pharmacology-based approach to reveal the effect and mechanism of Ji Chuan Jian against Parkinson’s disease
title_sort transcriptome sequencing and network pharmacology-based approach to reveal the effect and mechanism of ji chuan jian against parkinson’s disease
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10239169/
https://www.ncbi.nlm.nih.gov/pubmed/37270490
http://dx.doi.org/10.1186/s12906-023-03999-6
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