Background. Siwei Xiaoliuyin, a traditional Chinese medicine, is effective in treating glioma, but its molecular mechanism of action is still unclear. In this paper, we will explore the molecular mechanism of Siwei Xiaoliuyin in the treatment of glioma through network pharmacology. Methods. The potential active components and molecular targets of Siwei Xiaoliuyin were collected through the pharmacological database and analysis platform of traditional Chinese medicine system and TCMID database; glioma-related target genes were obtained through the GenCards database, OMIM database and Disgenet database; the intersection of drug action targets and disease genes was extracted using R software, and Venn diagram was drawn; the key targets were imported into the String database to construct a protein interaction network; the key targets were imported into R software using clusterProfiler for GO and KEGG enrichment analysis; the main components of Siwei Xiaoliuyin were molecularly docked with the Hub gene by AutoDock Vina technology. Results. Siwei Xiaoliuyin consists of four components, which are Curcuma zedoaria, Tianlong, Solanum nigrum and Smilax glabra and a total of 26 potential active components and 56 targets were identified from it, 5750 glioma-related genes and 47 key target genes crossed between Siwei Xiaoliuyin and glioma. The results of enrichment analysis showed that GO entries involved fatty acid metabolic processes, response to steroid hormones and other processes. KEGG analysis identified key genes mainly enriched in PI3K-Akt signaling pathway, estrogen signaling pathway and HIF-1 signaling pathway, etc. The results of molecular docking showed that Diosgenin, the main component of Siwei Xiaoliuyin, docked well with the AHR gene. Conclusions. Through network pharmacology prediction, Siwei Xiaoliuyin may regulate multiple signaling pathways such as PI3K-Akt, estrogen and HIF-1 through multiple targets EGFR, ESR1, VEGFA, AHR and AR, thus affecting the function of multiple cells and playing an important role in the treatment of glioma.
| Published in | Biomedical Sciences (Volume 8, Issue 4) |
| DOI | 10.11648/j.bs.20220804.13 |
| Page(s) | 126-137 |
| Creative Commons |
This is an Open Access article, 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 or format, provided the original work is properly cited. |
| Copyright |
Copyright © The Author(s), 2022. Published by Science Publishing Group |
Siwei Xiaoliuyin, Glioma, Network Pharmacology, Molecular Docking
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APA Style
Biaogang Han, Xiaohong Wu, Xiaopei Zhang, Shihua Liu, Yongqing Shen, et al. (2022). Discussion on Molecular Mechanism of Siwei Xiaoliuyin in Treating Glioma Based on Network Pharmacology and Molecular Docking. Biomedical Sciences, 8(4), 126-137. https://doi.org/10.11648/j.bs.20220804.13
ACS Style
Biaogang Han; Xiaohong Wu; Xiaopei Zhang; Shihua Liu; Yongqing Shen, et al. Discussion on Molecular Mechanism of Siwei Xiaoliuyin in Treating Glioma Based on Network Pharmacology and Molecular Docking. Biomed. Sci. 2022, 8(4), 126-137. doi: 10.11648/j.bs.20220804.13
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Download@article{10.11648/j.bs.20220804.13,
author = {Biaogang Han and Xiaohong Wu and Xiaopei Zhang and Shihua Liu and Yongqing Shen and Aixia Sui},
title = {Discussion on Molecular Mechanism of Siwei Xiaoliuyin in Treating Glioma Based on Network Pharmacology and Molecular Docking},
journal = {Biomedical Sciences},
volume = {8},
number = {4},
pages = {126-137},
doi = {10.11648/j.bs.20220804.13},
url = {https://doi.org/10.11648/j.bs.20220804.13},
eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.bs.20220804.13},
abstract = {Background. Siwei Xiaoliuyin, a traditional Chinese medicine, is effective in treating glioma, but its molecular mechanism of action is still unclear. In this paper, we will explore the molecular mechanism of Siwei Xiaoliuyin in the treatment of glioma through network pharmacology. Methods. The potential active components and molecular targets of Siwei Xiaoliuyin were collected through the pharmacological database and analysis platform of traditional Chinese medicine system and TCMID database; glioma-related target genes were obtained through the GenCards database, OMIM database and Disgenet database; the intersection of drug action targets and disease genes was extracted using R software, and Venn diagram was drawn; the key targets were imported into the String database to construct a protein interaction network; the key targets were imported into R software using clusterProfiler for GO and KEGG enrichment analysis; the main components of Siwei Xiaoliuyin were molecularly docked with the Hub gene by AutoDock Vina technology. Results. Siwei Xiaoliuyin consists of four components, which are Curcuma zedoaria, Tianlong, Solanum nigrum and Smilax glabra and a total of 26 potential active components and 56 targets were identified from it, 5750 glioma-related genes and 47 key target genes crossed between Siwei Xiaoliuyin and glioma. The results of enrichment analysis showed that GO entries involved fatty acid metabolic processes, response to steroid hormones and other processes. KEGG analysis identified key genes mainly enriched in PI3K-Akt signaling pathway, estrogen signaling pathway and HIF-1 signaling pathway, etc. The results of molecular docking showed that Diosgenin, the main component of Siwei Xiaoliuyin, docked well with the AHR gene. Conclusions. Through network pharmacology prediction, Siwei Xiaoliuyin may regulate multiple signaling pathways such as PI3K-Akt, estrogen and HIF-1 through multiple targets EGFR, ESR1, VEGFA, AHR and AR, thus affecting the function of multiple cells and playing an important role in the treatment of glioma.},
year = {2022}
}
TY - JOUR T1 - Discussion on Molecular Mechanism of Siwei Xiaoliuyin in Treating Glioma Based on Network Pharmacology and Molecular Docking AU - Biaogang Han AU - Xiaohong Wu AU - Xiaopei Zhang AU - Shihua Liu AU - Yongqing Shen AU - Aixia Sui Y1 - 2022/11/29 PY - 2022 N1 - https://doi.org/10.11648/j.bs.20220804.13 DO - 10.11648/j.bs.20220804.13 T2 - Biomedical Sciences JF - Biomedical Sciences JO - Biomedical Sciences SP - 126 EP - 137 PB - Science Publishing Group SN - 2575-3932 UR - https://doi.org/10.11648/j.bs.20220804.13 AB - Background. Siwei Xiaoliuyin, a traditional Chinese medicine, is effective in treating glioma, but its molecular mechanism of action is still unclear. In this paper, we will explore the molecular mechanism of Siwei Xiaoliuyin in the treatment of glioma through network pharmacology. Methods. The potential active components and molecular targets of Siwei Xiaoliuyin were collected through the pharmacological database and analysis platform of traditional Chinese medicine system and TCMID database; glioma-related target genes were obtained through the GenCards database, OMIM database and Disgenet database; the intersection of drug action targets and disease genes was extracted using R software, and Venn diagram was drawn; the key targets were imported into the String database to construct a protein interaction network; the key targets were imported into R software using clusterProfiler for GO and KEGG enrichment analysis; the main components of Siwei Xiaoliuyin were molecularly docked with the Hub gene by AutoDock Vina technology. Results. Siwei Xiaoliuyin consists of four components, which are Curcuma zedoaria, Tianlong, Solanum nigrum and Smilax glabra and a total of 26 potential active components and 56 targets were identified from it, 5750 glioma-related genes and 47 key target genes crossed between Siwei Xiaoliuyin and glioma. The results of enrichment analysis showed that GO entries involved fatty acid metabolic processes, response to steroid hormones and other processes. KEGG analysis identified key genes mainly enriched in PI3K-Akt signaling pathway, estrogen signaling pathway and HIF-1 signaling pathway, etc. The results of molecular docking showed that Diosgenin, the main component of Siwei Xiaoliuyin, docked well with the AHR gene. Conclusions. Through network pharmacology prediction, Siwei Xiaoliuyin may regulate multiple signaling pathways such as PI3K-Akt, estrogen and HIF-1 through multiple targets EGFR, ESR1, VEGFA, AHR and AR, thus affecting the function of multiple cells and playing an important role in the treatment of glioma. VL - 8 IS - 4 ER -
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