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Investigation of target genes and potential mechanisms related to compound Xiao-ai-fei honey ointment based on network pharmacology and bioinformatics analysis

Compound Xiao-ai-fei honey ointment (CXHO) is an anticancer preparation with a long history in Uyghur folk medicine in China and has been used for the treatment of gastric cancer (GC) in Xinjiang, China. Nevertheless, the mechanism of its anticancer effect remains to be investigated. METHODS: Bioact...

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Autores principales: Abudurousuli, Kayisaier, Talihati, Ziruo, Hailati, Sendaer, Han, Meng Yuan, Nuer, Muhadaisi, Khan, Nawaz, Maihemuti, Nulibiya, Dilimulati, Dilihuma, Nueraihemaiti, Nuerbiye, Simayi, Jimilihan, Zhou, Wenting
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams & Wilkins 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10419591/
https://www.ncbi.nlm.nih.gov/pubmed/37565919
http://dx.doi.org/10.1097/MD.0000000000034629
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author Abudurousuli, Kayisaier
Talihati, Ziruo
Hailati, Sendaer
Han, Meng Yuan
Nuer, Muhadaisi
Khan, Nawaz
Maihemuti, Nulibiya
Dilimulati, Dilihuma
Nueraihemaiti, Nuerbiye
Simayi, Jimilihan
Zhou, Wenting
author_facet Abudurousuli, Kayisaier
Talihati, Ziruo
Hailati, Sendaer
Han, Meng Yuan
Nuer, Muhadaisi
Khan, Nawaz
Maihemuti, Nulibiya
Dilimulati, Dilihuma
Nueraihemaiti, Nuerbiye
Simayi, Jimilihan
Zhou, Wenting
author_sort Abudurousuli, Kayisaier
collection PubMed
description Compound Xiao-ai-fei honey ointment (CXHO) is an anticancer preparation with a long history in Uyghur folk medicine in China and has been used for the treatment of gastric cancer (GC) in Xinjiang, China. Nevertheless, the mechanism of its anticancer effect remains to be investigated. METHODS: Bioactive ingredients of CXHO were retrieved from the Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform database. Target genes of ingredients were acquired via the PubChem and Swiss target prediction database. Gene expression profiling of GC was obtained from GSE54129 in the GEO database and analyzed using the limma package in R. The hub genes associated with CXHO in GC were validated using the TIMER2.0 database, GEPIA2 database and Auto Dock tools. The effect of CXHO on migration of GC cells was detected by Transwell chamber assay and Wound healing assay. The effect of CXHO on expression levels of MMP2/MMP9 and NF-κb, PI3K/AKT signaling pathway was detected by Western blot assay. RESULTS: Forty-five bioactive ingredients and their 819 related genes were found. A total of 462 differentially expressed genes were identified between GC patients and healthy controls. Seventeen common target genes were identified as hub genes CXHO against GC. Among them, MMP2 and MMP9 were significantly associated with tumor immune infiltrates and had good binding affinity with effective ingredients. Moreover, we validated the mRNA and protein expression levels and prognostic value of MMP2 and MMP9 by different databases. In addition, Kyoto encyclopedia of genes and genomes and gene ontology analyses showed that the 17 common target genes were mainly involved in steroid hormone biosynthesis and cancer-related pathways. Experimental results showed that CXHO inhibited migration of GC cells and down regulated the expression levels of MMP2/MMP9, NF-κb. In addition, CXHO can inhibited PI3K/AKT signaling pathway. CONCLUSION: We identified and experimental validated 2 pivotal target genes of CXHO against GC and preliminarily analyzed the potential mechanisms by which CXHO inhibits the development of GC. All these findings support CXHO as a promising drug for the treatment of GC.
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spelling pubmed-104195912023-08-12 Investigation of target genes and potential mechanisms related to compound Xiao-ai-fei honey ointment based on network pharmacology and bioinformatics analysis Abudurousuli, Kayisaier Talihati, Ziruo Hailati, Sendaer Han, Meng Yuan Nuer, Muhadaisi Khan, Nawaz Maihemuti, Nulibiya Dilimulati, Dilihuma Nueraihemaiti, Nuerbiye Simayi, Jimilihan Zhou, Wenting Medicine (Baltimore) 5700 Compound Xiao-ai-fei honey ointment (CXHO) is an anticancer preparation with a long history in Uyghur folk medicine in China and has been used for the treatment of gastric cancer (GC) in Xinjiang, China. Nevertheless, the mechanism of its anticancer effect remains to be investigated. METHODS: Bioactive ingredients of CXHO were retrieved from the Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform database. Target genes of ingredients were acquired via the PubChem and Swiss target prediction database. Gene expression profiling of GC was obtained from GSE54129 in the GEO database and analyzed using the limma package in R. The hub genes associated with CXHO in GC were validated using the TIMER2.0 database, GEPIA2 database and Auto Dock tools. The effect of CXHO on migration of GC cells was detected by Transwell chamber assay and Wound healing assay. The effect of CXHO on expression levels of MMP2/MMP9 and NF-κb, PI3K/AKT signaling pathway was detected by Western blot assay. RESULTS: Forty-five bioactive ingredients and their 819 related genes were found. A total of 462 differentially expressed genes were identified between GC patients and healthy controls. Seventeen common target genes were identified as hub genes CXHO against GC. Among them, MMP2 and MMP9 were significantly associated with tumor immune infiltrates and had good binding affinity with effective ingredients. Moreover, we validated the mRNA and protein expression levels and prognostic value of MMP2 and MMP9 by different databases. In addition, Kyoto encyclopedia of genes and genomes and gene ontology analyses showed that the 17 common target genes were mainly involved in steroid hormone biosynthesis and cancer-related pathways. Experimental results showed that CXHO inhibited migration of GC cells and down regulated the expression levels of MMP2/MMP9, NF-κb. In addition, CXHO can inhibited PI3K/AKT signaling pathway. CONCLUSION: We identified and experimental validated 2 pivotal target genes of CXHO against GC and preliminarily analyzed the potential mechanisms by which CXHO inhibits the development of GC. All these findings support CXHO as a promising drug for the treatment of GC. Lippincott Williams & Wilkins 2023-08-11 /pmc/articles/PMC10419591/ /pubmed/37565919 http://dx.doi.org/10.1097/MD.0000000000034629 Text en Copyright © 2023 the Author(s). Published by Wolters Kluwer Health, Inc. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License 4.0 (CCBY) (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle 5700
Abudurousuli, Kayisaier
Talihati, Ziruo
Hailati, Sendaer
Han, Meng Yuan
Nuer, Muhadaisi
Khan, Nawaz
Maihemuti, Nulibiya
Dilimulati, Dilihuma
Nueraihemaiti, Nuerbiye
Simayi, Jimilihan
Zhou, Wenting
Investigation of target genes and potential mechanisms related to compound Xiao-ai-fei honey ointment based on network pharmacology and bioinformatics analysis
title Investigation of target genes and potential mechanisms related to compound Xiao-ai-fei honey ointment based on network pharmacology and bioinformatics analysis
title_full Investigation of target genes and potential mechanisms related to compound Xiao-ai-fei honey ointment based on network pharmacology and bioinformatics analysis
title_fullStr Investigation of target genes and potential mechanisms related to compound Xiao-ai-fei honey ointment based on network pharmacology and bioinformatics analysis
title_full_unstemmed Investigation of target genes and potential mechanisms related to compound Xiao-ai-fei honey ointment based on network pharmacology and bioinformatics analysis
title_short Investigation of target genes and potential mechanisms related to compound Xiao-ai-fei honey ointment based on network pharmacology and bioinformatics analysis
title_sort investigation of target genes and potential mechanisms related to compound xiao-ai-fei honey ointment based on network pharmacology and bioinformatics analysis
topic 5700
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10419591/
https://www.ncbi.nlm.nih.gov/pubmed/37565919
http://dx.doi.org/10.1097/MD.0000000000034629
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