Cargando…
Identification of Critical Biomarkers and Mechanisms of Fructus Ligustri Lucidi on Vitiligo Using Integrated Bioinformatics Analysis
OBJECTIVE: Vitiligo is an autoimmune disease of the skin that targets pigment-producing melanocytes and results in patches of depigmentation that are visible as white spots. Recent research studies have yielded a strong mechanistic understanding of this disease. Fructus Ligustri Lucidi (FLL) has bee...
Autores principales: | , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Dove
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10416786/ https://www.ncbi.nlm.nih.gov/pubmed/37575147 http://dx.doi.org/10.2147/CCID.S413733 |
_version_ | 1785087859509690368 |
---|---|
author | Liang, Tian-Shan Tang, Nan Xian, Ming-Hua Wen, Wei-Lun Huang, Chang-Jin Cai, Lan-Hua Li, Qi-Lin Wu, Yan-Hua |
author_facet | Liang, Tian-Shan Tang, Nan Xian, Ming-Hua Wen, Wei-Lun Huang, Chang-Jin Cai, Lan-Hua Li, Qi-Lin Wu, Yan-Hua |
author_sort | Liang, Tian-Shan |
collection | PubMed |
description | OBJECTIVE: Vitiligo is an autoimmune disease of the skin that targets pigment-producing melanocytes and results in patches of depigmentation that are visible as white spots. Recent research studies have yielded a strong mechanistic understanding of this disease. Fructus Ligustri Lucidi (FLL) has been used for premature graying of hair since ancient China and is currently used to treat vitiligo. However, the key biomarkers and mechanisms underlying FLL in vitiligo remain unclear. This study aimed to identify the potential biomarkers and mechanisms of FLL in vitiligo using network pharmacology analysis. METHODS: The expression profiles of GSE65127 and GSE75819 were downloaded from the Gene Expression Omnibus database to identify differentially expressed genes (DEGs) between the vitiligo and healthy samples. Gene ontology and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment of DEGs were performed using R analyses. We performed R to further understand the functions of the critical targets. Cytoscape tools have facilitated network topology analysis. Molecular docking was performed using Auto Dock Vina software. RESULTS: The results showed that 13 DEGs were screened in vitiligo. Based on bioinformatics, network pharmacology and Western blot, we found that the critical targets of melanoma antigen recognized by 5,6-dihydroxyindole-2-carboxylic acid oxidase (TYRP1) may be related to the mechanism of action of FLL in the treatment of vitiligo. CONCLUSION: TYRP1, as a melanocyte molecular biomarker, may be closely related to the underlying mechanism of FLL in the treatment of vitiligo via the inhibition of melanocyte death. |
format | Online Article Text |
id | pubmed-10416786 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Dove |
record_format | MEDLINE/PubMed |
spelling | pubmed-104167862023-08-12 Identification of Critical Biomarkers and Mechanisms of Fructus Ligustri Lucidi on Vitiligo Using Integrated Bioinformatics Analysis Liang, Tian-Shan Tang, Nan Xian, Ming-Hua Wen, Wei-Lun Huang, Chang-Jin Cai, Lan-Hua Li, Qi-Lin Wu, Yan-Hua Clin Cosmet Investig Dermatol Original Research OBJECTIVE: Vitiligo is an autoimmune disease of the skin that targets pigment-producing melanocytes and results in patches of depigmentation that are visible as white spots. Recent research studies have yielded a strong mechanistic understanding of this disease. Fructus Ligustri Lucidi (FLL) has been used for premature graying of hair since ancient China and is currently used to treat vitiligo. However, the key biomarkers and mechanisms underlying FLL in vitiligo remain unclear. This study aimed to identify the potential biomarkers and mechanisms of FLL in vitiligo using network pharmacology analysis. METHODS: The expression profiles of GSE65127 and GSE75819 were downloaded from the Gene Expression Omnibus database to identify differentially expressed genes (DEGs) between the vitiligo and healthy samples. Gene ontology and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment of DEGs were performed using R analyses. We performed R to further understand the functions of the critical targets. Cytoscape tools have facilitated network topology analysis. Molecular docking was performed using Auto Dock Vina software. RESULTS: The results showed that 13 DEGs were screened in vitiligo. Based on bioinformatics, network pharmacology and Western blot, we found that the critical targets of melanoma antigen recognized by 5,6-dihydroxyindole-2-carboxylic acid oxidase (TYRP1) may be related to the mechanism of action of FLL in the treatment of vitiligo. CONCLUSION: TYRP1, as a melanocyte molecular biomarker, may be closely related to the underlying mechanism of FLL in the treatment of vitiligo via the inhibition of melanocyte death. Dove 2023-08-07 /pmc/articles/PMC10416786/ /pubmed/37575147 http://dx.doi.org/10.2147/CCID.S413733 Text en © 2023 Liang et al. https://creativecommons.org/licenses/by-nc/3.0/This work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/ (https://creativecommons.org/licenses/by-nc/3.0/) ). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms (https://www.dovepress.com/terms.php). |
spellingShingle | Original Research Liang, Tian-Shan Tang, Nan Xian, Ming-Hua Wen, Wei-Lun Huang, Chang-Jin Cai, Lan-Hua Li, Qi-Lin Wu, Yan-Hua Identification of Critical Biomarkers and Mechanisms of Fructus Ligustri Lucidi on Vitiligo Using Integrated Bioinformatics Analysis |
title | Identification of Critical Biomarkers and Mechanisms of Fructus Ligustri Lucidi on Vitiligo Using Integrated Bioinformatics Analysis |
title_full | Identification of Critical Biomarkers and Mechanisms of Fructus Ligustri Lucidi on Vitiligo Using Integrated Bioinformatics Analysis |
title_fullStr | Identification of Critical Biomarkers and Mechanisms of Fructus Ligustri Lucidi on Vitiligo Using Integrated Bioinformatics Analysis |
title_full_unstemmed | Identification of Critical Biomarkers and Mechanisms of Fructus Ligustri Lucidi on Vitiligo Using Integrated Bioinformatics Analysis |
title_short | Identification of Critical Biomarkers and Mechanisms of Fructus Ligustri Lucidi on Vitiligo Using Integrated Bioinformatics Analysis |
title_sort | identification of critical biomarkers and mechanisms of fructus ligustri lucidi on vitiligo using integrated bioinformatics analysis |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10416786/ https://www.ncbi.nlm.nih.gov/pubmed/37575147 http://dx.doi.org/10.2147/CCID.S413733 |
work_keys_str_mv | AT liangtianshan identificationofcriticalbiomarkersandmechanismsoffructusligustrilucidionvitiligousingintegratedbioinformaticsanalysis AT tangnan identificationofcriticalbiomarkersandmechanismsoffructusligustrilucidionvitiligousingintegratedbioinformaticsanalysis AT xianminghua identificationofcriticalbiomarkersandmechanismsoffructusligustrilucidionvitiligousingintegratedbioinformaticsanalysis AT wenweilun identificationofcriticalbiomarkersandmechanismsoffructusligustrilucidionvitiligousingintegratedbioinformaticsanalysis AT huangchangjin identificationofcriticalbiomarkersandmechanismsoffructusligustrilucidionvitiligousingintegratedbioinformaticsanalysis AT cailanhua identificationofcriticalbiomarkersandmechanismsoffructusligustrilucidionvitiligousingintegratedbioinformaticsanalysis AT liqilin identificationofcriticalbiomarkersandmechanismsoffructusligustrilucidionvitiligousingintegratedbioinformaticsanalysis AT wuyanhua identificationofcriticalbiomarkersandmechanismsoffructusligustrilucidionvitiligousingintegratedbioinformaticsanalysis |