Cargando…
Network pharmacology-based study on the mechanism of Yiganling capsule in hepatitis B treatment
BACKGROUND: Yiganling (YGL) capsule is a traditional Chinese medicine preparation consisting of eight herbs that has been clinically proven to have a favorable treatment effect on Hepatitis B (HB). However, due to its multiple targets and multi-pharmacological effects, the mechanisms of YGL capsule...
Autores principales: | , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7076828/ https://www.ncbi.nlm.nih.gov/pubmed/32024508 http://dx.doi.org/10.1186/s12906-020-2815-y |
_version_ | 1783507294998233088 |
---|---|
author | Lu, Chao Fu, Wanjin Zhou, Renpeng Hu, Wei |
author_facet | Lu, Chao Fu, Wanjin Zhou, Renpeng Hu, Wei |
author_sort | Lu, Chao |
collection | PubMed |
description | BACKGROUND: Yiganling (YGL) capsule is a traditional Chinese medicine preparation consisting of eight herbs that has been clinically proven to have a favorable treatment effect on Hepatitis B (HB). However, due to its multiple targets and multi-pharmacological effects, the mechanisms of YGL capsule in the treatment of HB are unknown. METHODS: First, the chemical constituents of YGL capsules were obtained from the Chinese medicine database, and YGL capsules were constructed. Second, active compounds were screened by the ADME model. The target fishing model was used to screen the corresponding targets of active compounds and to construct a compounds and compound targets network. Using human disease databases and literature mining, we systematically identified genes associated with HB, constructed disease-specific protein-protein interaction networks, and performed clustering and enrichment analyses of these networks. These networks were then merged to obtain a compound-disease target network, and cluster and enrichment analyses were performed on the compound-disease target network to acquire a compounds-disease targets-mechanism network and a clustering network. RESULTS: We successfully built eight pharmacological network diagrams, including four primary networks and other network maps. The four dominating network maps included a HB disease-associated protein-protein interaction network, a YGL capsule compounds-target network, a YGL capsule ingredient target-HB disease target network, and a YGL-HB disease mechanism network. Other networks included a pathway of HB disease targets, the HB disease protein-protein interaction cluster analysis network, and the YGL-HB target clustering network. CONCLUSION: This study successfully forecasted, illuminated, and confirmed the synergistic effects of HB disease molecules and discovered the potential of HB relevant targets, clusters, and target-related biological processes and signaling pathways. Our research not only provides theoretical support for the molecular and pharmacological mechanisms of YGL capsule in HB treatment, but also provides new research methods for the study of the other traditional Chinese medicinal compounds. |
format | Online Article Text |
id | pubmed-7076828 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-70768282020-03-19 Network pharmacology-based study on the mechanism of Yiganling capsule in hepatitis B treatment Lu, Chao Fu, Wanjin Zhou, Renpeng Hu, Wei BMC Complement Med Ther Research Article BACKGROUND: Yiganling (YGL) capsule is a traditional Chinese medicine preparation consisting of eight herbs that has been clinically proven to have a favorable treatment effect on Hepatitis B (HB). However, due to its multiple targets and multi-pharmacological effects, the mechanisms of YGL capsule in the treatment of HB are unknown. METHODS: First, the chemical constituents of YGL capsules were obtained from the Chinese medicine database, and YGL capsules were constructed. Second, active compounds were screened by the ADME model. The target fishing model was used to screen the corresponding targets of active compounds and to construct a compounds and compound targets network. Using human disease databases and literature mining, we systematically identified genes associated with HB, constructed disease-specific protein-protein interaction networks, and performed clustering and enrichment analyses of these networks. These networks were then merged to obtain a compound-disease target network, and cluster and enrichment analyses were performed on the compound-disease target network to acquire a compounds-disease targets-mechanism network and a clustering network. RESULTS: We successfully built eight pharmacological network diagrams, including four primary networks and other network maps. The four dominating network maps included a HB disease-associated protein-protein interaction network, a YGL capsule compounds-target network, a YGL capsule ingredient target-HB disease target network, and a YGL-HB disease mechanism network. Other networks included a pathway of HB disease targets, the HB disease protein-protein interaction cluster analysis network, and the YGL-HB target clustering network. CONCLUSION: This study successfully forecasted, illuminated, and confirmed the synergistic effects of HB disease molecules and discovered the potential of HB relevant targets, clusters, and target-related biological processes and signaling pathways. Our research not only provides theoretical support for the molecular and pharmacological mechanisms of YGL capsule in HB treatment, but also provides new research methods for the study of the other traditional Chinese medicinal compounds. BioMed Central 2020-02-05 /pmc/articles/PMC7076828/ /pubmed/32024508 http://dx.doi.org/10.1186/s12906-020-2815-y Text en © The Author(s). 2020 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Article Lu, Chao Fu, Wanjin Zhou, Renpeng Hu, Wei Network pharmacology-based study on the mechanism of Yiganling capsule in hepatitis B treatment |
title | Network pharmacology-based study on the mechanism of Yiganling capsule in hepatitis B treatment |
title_full | Network pharmacology-based study on the mechanism of Yiganling capsule in hepatitis B treatment |
title_fullStr | Network pharmacology-based study on the mechanism of Yiganling capsule in hepatitis B treatment |
title_full_unstemmed | Network pharmacology-based study on the mechanism of Yiganling capsule in hepatitis B treatment |
title_short | Network pharmacology-based study on the mechanism of Yiganling capsule in hepatitis B treatment |
title_sort | network pharmacology-based study on the mechanism of yiganling capsule in hepatitis b treatment |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7076828/ https://www.ncbi.nlm.nih.gov/pubmed/32024508 http://dx.doi.org/10.1186/s12906-020-2815-y |
work_keys_str_mv | AT luchao networkpharmacologybasedstudyonthemechanismofyiganlingcapsuleinhepatitisbtreatment AT fuwanjin networkpharmacologybasedstudyonthemechanismofyiganlingcapsuleinhepatitisbtreatment AT zhourenpeng networkpharmacologybasedstudyonthemechanismofyiganlingcapsuleinhepatitisbtreatment AT huwei networkpharmacologybasedstudyonthemechanismofyiganlingcapsuleinhepatitisbtreatment |