Cargando…
Identification of Significant Genes and Pathways for the Chronic and Subacute Cutaneous Lupus Erythematosus via Bioinformatics Analysis
BACKGROUND: Chronic cutaneous lupus erythematosus (CCLE) and subacute cutaneous lupus erythematosus (SCLE) are both common variants of cutaneous lupus erythematosus (CLE) that mainly involve the skin and mucous membrane. Oral mucosal involvement is frequently observed in patients of CLE. Despite tha...
Autores principales: | , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9537011/ https://www.ncbi.nlm.nih.gov/pubmed/36212172 http://dx.doi.org/10.1155/2022/9891299 |
_version_ | 1784803103271288832 |
---|---|
author | Teng, Yan Li, Sujing Ding, Yang Fan, Yibin He, Miao Li, Hengzhen Tao, Xiaohua Huang, Youming |
author_facet | Teng, Yan Li, Sujing Ding, Yang Fan, Yibin He, Miao Li, Hengzhen Tao, Xiaohua Huang, Youming |
author_sort | Teng, Yan |
collection | PubMed |
description | BACKGROUND: Chronic cutaneous lupus erythematosus (CCLE) and subacute cutaneous lupus erythematosus (SCLE) are both common variants of cutaneous lupus erythematosus (CLE) that mainly involve the skin and mucous membrane. Oral mucosal involvement is frequently observed in patients of CLE. Despite that they have different clinicopathological features, whether there is a significant difference in pathogenesis between them remains unclear. Herein, we investigated specific genes and pathways of SCLE and CCLE via bioinformatics analysis. METHODS: Microarray expression datasets of GSE109248 and GSE112943 were both retrieved from the GEO database. Differentially expressed genes (DEGs) between CCLE or SCLE skin tissues and health controls were selected by GEO2R. Common DEGs were picked out via the Venn diagram software. Then, functional enrichment and PPI network analysis were conducted, and the top 10 key genes were identified via Cytohubba. RESULTS: Totally, 176 DEGs of SCLE and 287 DEGs of CCLE were identified. The GO enrichment and KEGG analysis of DEGs of SCLE is significantly enriched in the response to virus, defense response to virus, response to IFN-gamma, cellular response to IFN-γ, type I IFN signaling pathway, chemokine activity, chemokine receptor binding, NOD-like receptor signaling pathway, etc. The GO enrichment and KEGG analysis of DEGs of CCLE is significantly enriched in the response to virus, regulation of multiorganism process, negative regulation of viral process, regulation of lymphocyte activation, chemokine receptor binding, CCR chemokine receptor binding, NOD-like receptor signaling pathway, etc. The top 10 hub genes of SCLE and CCLE, respectively, include STAT1, CXCL10, IRF7, ISG15, and RSAD2 and CXCL10, IRF7, IFIT3, CTLA4, and ISG15. CONCLUSION: Our finding suggests that SCLE and CCLE have the similar potential key genes and pathways and majority of them belong to IFN signatures and IFN signaling pathway. Besides, the NOD-like receptor signaling pathway might also have an essential role in the pathogenesis of SCLE and CCLE. Together, the identified genes and signaling pathways have enhanced our understanding of the mechanism underlying the occurrence and development of both SCLE and CCLE. |
format | Online Article Text |
id | pubmed-9537011 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Hindawi |
record_format | MEDLINE/PubMed |
spelling | pubmed-95370112022-10-07 Identification of Significant Genes and Pathways for the Chronic and Subacute Cutaneous Lupus Erythematosus via Bioinformatics Analysis Teng, Yan Li, Sujing Ding, Yang Fan, Yibin He, Miao Li, Hengzhen Tao, Xiaohua Huang, Youming Dis Markers Research Article BACKGROUND: Chronic cutaneous lupus erythematosus (CCLE) and subacute cutaneous lupus erythematosus (SCLE) are both common variants of cutaneous lupus erythematosus (CLE) that mainly involve the skin and mucous membrane. Oral mucosal involvement is frequently observed in patients of CLE. Despite that they have different clinicopathological features, whether there is a significant difference in pathogenesis between them remains unclear. Herein, we investigated specific genes and pathways of SCLE and CCLE via bioinformatics analysis. METHODS: Microarray expression datasets of GSE109248 and GSE112943 were both retrieved from the GEO database. Differentially expressed genes (DEGs) between CCLE or SCLE skin tissues and health controls were selected by GEO2R. Common DEGs were picked out via the Venn diagram software. Then, functional enrichment and PPI network analysis were conducted, and the top 10 key genes were identified via Cytohubba. RESULTS: Totally, 176 DEGs of SCLE and 287 DEGs of CCLE were identified. The GO enrichment and KEGG analysis of DEGs of SCLE is significantly enriched in the response to virus, defense response to virus, response to IFN-gamma, cellular response to IFN-γ, type I IFN signaling pathway, chemokine activity, chemokine receptor binding, NOD-like receptor signaling pathway, etc. The GO enrichment and KEGG analysis of DEGs of CCLE is significantly enriched in the response to virus, regulation of multiorganism process, negative regulation of viral process, regulation of lymphocyte activation, chemokine receptor binding, CCR chemokine receptor binding, NOD-like receptor signaling pathway, etc. The top 10 hub genes of SCLE and CCLE, respectively, include STAT1, CXCL10, IRF7, ISG15, and RSAD2 and CXCL10, IRF7, IFIT3, CTLA4, and ISG15. CONCLUSION: Our finding suggests that SCLE and CCLE have the similar potential key genes and pathways and majority of them belong to IFN signatures and IFN signaling pathway. Besides, the NOD-like receptor signaling pathway might also have an essential role in the pathogenesis of SCLE and CCLE. Together, the identified genes and signaling pathways have enhanced our understanding of the mechanism underlying the occurrence and development of both SCLE and CCLE. Hindawi 2022-09-29 /pmc/articles/PMC9537011/ /pubmed/36212172 http://dx.doi.org/10.1155/2022/9891299 Text en Copyright © 2022 Yan Teng et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Teng, Yan Li, Sujing Ding, Yang Fan, Yibin He, Miao Li, Hengzhen Tao, Xiaohua Huang, Youming Identification of Significant Genes and Pathways for the Chronic and Subacute Cutaneous Lupus Erythematosus via Bioinformatics Analysis |
title | Identification of Significant Genes and Pathways for the Chronic and Subacute Cutaneous Lupus Erythematosus via Bioinformatics Analysis |
title_full | Identification of Significant Genes and Pathways for the Chronic and Subacute Cutaneous Lupus Erythematosus via Bioinformatics Analysis |
title_fullStr | Identification of Significant Genes and Pathways for the Chronic and Subacute Cutaneous Lupus Erythematosus via Bioinformatics Analysis |
title_full_unstemmed | Identification of Significant Genes and Pathways for the Chronic and Subacute Cutaneous Lupus Erythematosus via Bioinformatics Analysis |
title_short | Identification of Significant Genes and Pathways for the Chronic and Subacute Cutaneous Lupus Erythematosus via Bioinformatics Analysis |
title_sort | identification of significant genes and pathways for the chronic and subacute cutaneous lupus erythematosus via bioinformatics analysis |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9537011/ https://www.ncbi.nlm.nih.gov/pubmed/36212172 http://dx.doi.org/10.1155/2022/9891299 |
work_keys_str_mv | AT tengyan identificationofsignificantgenesandpathwaysforthechronicandsubacutecutaneouslupuserythematosusviabioinformaticsanalysis AT lisujing identificationofsignificantgenesandpathwaysforthechronicandsubacutecutaneouslupuserythematosusviabioinformaticsanalysis AT dingyang identificationofsignificantgenesandpathwaysforthechronicandsubacutecutaneouslupuserythematosusviabioinformaticsanalysis AT fanyibin identificationofsignificantgenesandpathwaysforthechronicandsubacutecutaneouslupuserythematosusviabioinformaticsanalysis AT hemiao identificationofsignificantgenesandpathwaysforthechronicandsubacutecutaneouslupuserythematosusviabioinformaticsanalysis AT lihengzhen identificationofsignificantgenesandpathwaysforthechronicandsubacutecutaneouslupuserythematosusviabioinformaticsanalysis AT taoxiaohua identificationofsignificantgenesandpathwaysforthechronicandsubacutecutaneouslupuserythematosusviabioinformaticsanalysis AT huangyouming identificationofsignificantgenesandpathwaysforthechronicandsubacutecutaneouslupuserythematosusviabioinformaticsanalysis |