Network Pharmacology-Based Systematic Analysis of Molecular Mechanisms of Geranium wilfordii Maxim for HSV-2 Infection

Background. Being a traditional Chinese medicine, Geranium wilfordii Maxim (GWM) is used for the treatment of various infectious diseases, and its main active ingredients are the polyphenolic substances such as polyphenols quercetin, corilagin, and geraniin. Previous studies have demonstrated the an...

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Veröffentlicht in:Evidence-based complementary and alternative medicine 2021, Vol.2021, p.1009551-9
Hauptverfasser: Zhang, Hao, Gao, Ming-Huang, Chen, Yang, Liu, Tao
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Chen, Yang
Liu, Tao
description Background. Being a traditional Chinese medicine, Geranium wilfordii Maxim (GWM) is used for the treatment of various infectious diseases, and its main active ingredients are the polyphenolic substances such as polyphenols quercetin, corilagin, and geraniin. Previous studies have demonstrated the anti-HSV-1 viral activity of these three main ingredients. Through employing a network pharmacological method, the authors of the present research intend to probe the mechanism of GWM for the therapeutic treatment of HSV-2 infection. Methods. The bioactive substances and related targets of GWM were obtained from the TCMSP database. Gene expression discrepancy for HSV-2 infection was obtained from dataset GSE18527. Crossover genes between disease target genes and GWM target genes were gained via Circos package. Distinctively displayed genes (DDGs) during HSV-2 infection were uploaded to the Metascape database with GWM target genes for further analysis. The tissue-specific distribution of the genes was obtained by uploading the genes to the PaGenBase database. Ingredient-gene-pathway (IGP) networks were constructed using Cytoscape software. Molecular docking investigations were carried out utilizing AutoDock Vina software. Results. Nine actively involved components were retrieved from the TCMSP database. After taking the intersection among 153 drug target genes and 83 DDGs, 7 crossover genes were screened. Gene enrichment analysis showed that GWM treatment of HSV-2 infection mainly involves cytokine signaling in the immune system, response to virus, epithelial cell differentiation, and type II interferon signaling (IFNG). One hub, three core objectives, and two critical paths were filtered out from the built network. Geraniin showed strong binding activity with HSV-2 gD protein and STING protein in molecular docking. Conclusions. This network pharmacological study provides a fundamental molecular mechanistic exploration of GWM for the treatment of HSV-2 infection.
doi_str_mv 10.1155/2021/1009551
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Being a traditional Chinese medicine, Geranium wilfordii Maxim (GWM) is used for the treatment of various infectious diseases, and its main active ingredients are the polyphenolic substances such as polyphenols quercetin, corilagin, and geraniin. Previous studies have demonstrated the anti-HSV-1 viral activity of these three main ingredients. Through employing a network pharmacological method, the authors of the present research intend to probe the mechanism of GWM for the therapeutic treatment of HSV-2 infection. Methods. The bioactive substances and related targets of GWM were obtained from the TCMSP database. Gene expression discrepancy for HSV-2 infection was obtained from dataset GSE18527. Crossover genes between disease target genes and GWM target genes were gained via Circos package. Distinctively displayed genes (DDGs) during HSV-2 infection were uploaded to the Metascape database with GWM target genes for further analysis. The tissue-specific distribution of the genes was obtained by uploading the genes to the PaGenBase database. Ingredient-gene-pathway (IGP) networks were constructed using Cytoscape software. Molecular docking investigations were carried out utilizing AutoDock Vina software. Results. Nine actively involved components were retrieved from the TCMSP database. After taking the intersection among 153 drug target genes and 83 DDGs, 7 crossover genes were screened. Gene enrichment analysis showed that GWM treatment of HSV-2 infection mainly involves cytokine signaling in the immune system, response to virus, epithelial cell differentiation, and type II interferon signaling (IFNG). One hub, three core objectives, and two critical paths were filtered out from the built network. Geraniin showed strong binding activity with HSV-2 gD protein and STING protein in molecular docking. Conclusions. This network pharmacological study provides a fundamental molecular mechanistic exploration of GWM for the treatment of HSV-2 infection.</description><identifier>ISSN: 1741-427X</identifier><identifier>EISSN: 1741-4288</identifier><identifier>DOI: 10.1155/2021/1009551</identifier><identifier>PMID: 34777530</identifier><language>eng</language><publisher>United States: Hindawi</publisher><subject>Cell differentiation ; Chinese medicine ; Computer programs ; Cytokines ; Datasets ; Epithelial cells ; Gene expression ; Genes ; Geranium ; Herpes viruses ; Immune system ; Infections ; Infectious diseases ; Ingredients ; Interferon ; Metabolism ; Molecular modelling ; Pharmacology ; Polyphenols ; Proteins ; Quercetin ; Smooth muscle ; Therapeutic targets ; Traditional Chinese medicine ; Transcription factors ; Web sites</subject><ispartof>Evidence-based complementary and alternative medicine, 2021, Vol.2021, p.1009551-9</ispartof><rights>Copyright © 2021 Hao Zhang et al.</rights><rights>Copyright © 2021 Hao Zhang 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</rights><rights>Copyright © 2021 Hao Zhang et al. 2021</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c448t-f923ca70cf7def4094d1c922fd15334517b7f3e6282a7d76e7ea3c34475bc1623</citedby><cites>FETCH-LOGICAL-c448t-f923ca70cf7def4094d1c922fd15334517b7f3e6282a7d76e7ea3c34475bc1623</cites><orcidid>0000-0002-1334-8378 ; 0000-0002-7654-2995 ; 0000-0003-2329-5107 ; 0000-0001-9793-0244</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC8580655/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC8580655/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,4024,27923,27924,27925,53791,53793</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/34777530$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Ojo, Oluwafemi Adeleke</contributor><contributor>Oluwafemi Adeleke Ojo</contributor><creatorcontrib>Zhang, Hao</creatorcontrib><creatorcontrib>Gao, Ming-Huang</creatorcontrib><creatorcontrib>Chen, Yang</creatorcontrib><creatorcontrib>Liu, Tao</creatorcontrib><title>Network Pharmacology-Based Systematic Analysis of Molecular Mechanisms of Geranium wilfordii Maxim for HSV-2 Infection</title><title>Evidence-based complementary and alternative medicine</title><addtitle>Evid Based Complement Alternat Med</addtitle><description>Background. Being a traditional Chinese medicine, Geranium wilfordii Maxim (GWM) is used for the treatment of various infectious diseases, and its main active ingredients are the polyphenolic substances such as polyphenols quercetin, corilagin, and geraniin. Previous studies have demonstrated the anti-HSV-1 viral activity of these three main ingredients. Through employing a network pharmacological method, the authors of the present research intend to probe the mechanism of GWM for the therapeutic treatment of HSV-2 infection. Methods. The bioactive substances and related targets of GWM were obtained from the TCMSP database. Gene expression discrepancy for HSV-2 infection was obtained from dataset GSE18527. Crossover genes between disease target genes and GWM target genes were gained via Circos package. Distinctively displayed genes (DDGs) during HSV-2 infection were uploaded to the Metascape database with GWM target genes for further analysis. The tissue-specific distribution of the genes was obtained by uploading the genes to the PaGenBase database. Ingredient-gene-pathway (IGP) networks were constructed using Cytoscape software. Molecular docking investigations were carried out utilizing AutoDock Vina software. Results. Nine actively involved components were retrieved from the TCMSP database. After taking the intersection among 153 drug target genes and 83 DDGs, 7 crossover genes were screened. Gene enrichment analysis showed that GWM treatment of HSV-2 infection mainly involves cytokine signaling in the immune system, response to virus, epithelial cell differentiation, and type II interferon signaling (IFNG). One hub, three core objectives, and two critical paths were filtered out from the built network. Geraniin showed strong binding activity with HSV-2 gD protein and STING protein in molecular docking. Conclusions. 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Being a traditional Chinese medicine, Geranium wilfordii Maxim (GWM) is used for the treatment of various infectious diseases, and its main active ingredients are the polyphenolic substances such as polyphenols quercetin, corilagin, and geraniin. Previous studies have demonstrated the anti-HSV-1 viral activity of these three main ingredients. Through employing a network pharmacological method, the authors of the present research intend to probe the mechanism of GWM for the therapeutic treatment of HSV-2 infection. Methods. The bioactive substances and related targets of GWM were obtained from the TCMSP database. Gene expression discrepancy for HSV-2 infection was obtained from dataset GSE18527. Crossover genes between disease target genes and GWM target genes were gained via Circos package. Distinctively displayed genes (DDGs) during HSV-2 infection were uploaded to the Metascape database with GWM target genes for further analysis. The tissue-specific distribution of the genes was obtained by uploading the genes to the PaGenBase database. Ingredient-gene-pathway (IGP) networks were constructed using Cytoscape software. Molecular docking investigations were carried out utilizing AutoDock Vina software. Results. Nine actively involved components were retrieved from the TCMSP database. After taking the intersection among 153 drug target genes and 83 DDGs, 7 crossover genes were screened. Gene enrichment analysis showed that GWM treatment of HSV-2 infection mainly involves cytokine signaling in the immune system, response to virus, epithelial cell differentiation, and type II interferon signaling (IFNG). One hub, three core objectives, and two critical paths were filtered out from the built network. Geraniin showed strong binding activity with HSV-2 gD protein and STING protein in molecular docking. Conclusions. This network pharmacological study provides a fundamental molecular mechanistic exploration of GWM for the treatment of HSV-2 infection.</abstract><cop>United States</cop><pub>Hindawi</pub><pmid>34777530</pmid><doi>10.1155/2021/1009551</doi><tpages>9</tpages><orcidid>https://orcid.org/0000-0002-1334-8378</orcidid><orcidid>https://orcid.org/0000-0002-7654-2995</orcidid><orcidid>https://orcid.org/0000-0003-2329-5107</orcidid><orcidid>https://orcid.org/0000-0001-9793-0244</orcidid><oa>free_for_read</oa></addata></record>
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subjects Cell differentiation
Chinese medicine
Computer programs
Cytokines
Datasets
Epithelial cells
Gene expression
Genes
Geranium
Herpes viruses
Immune system
Infections
Infectious diseases
Ingredients
Interferon
Metabolism
Molecular modelling
Pharmacology
Polyphenols
Proteins
Quercetin
Smooth muscle
Therapeutic targets
Traditional Chinese medicine
Transcription factors
Web sites
title Network Pharmacology-Based Systematic Analysis of Molecular Mechanisms of Geranium wilfordii Maxim for HSV-2 Infection
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