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Identification of key apoptosis-related genes and immune infiltration in the pathogenesis of psoriasis
BACKGROUND: Psoriasis is a condition in which skin cells build up and form itchy scales and dry patches. It is also considered a common lifelong disease with an unclear pathogenesis. Furthermore, an effective cure for psoriasis is still unavailable. Reductive apoptosis of keratinocytes and immune in...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9213172/ https://www.ncbi.nlm.nih.gov/pubmed/35729678 http://dx.doi.org/10.1186/s41065-022-00233-0 |
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author | Zou, Ailing Kong, Qingtao Sang, Hong |
author_facet | Zou, Ailing Kong, Qingtao Sang, Hong |
author_sort | Zou, Ailing |
collection | PubMed |
description | BACKGROUND: Psoriasis is a condition in which skin cells build up and form itchy scales and dry patches. It is also considered a common lifelong disease with an unclear pathogenesis. Furthermore, an effective cure for psoriasis is still unavailable. Reductive apoptosis of keratinocytes and immune infiltration are common in psoriasis. This study aimed to explore underlying functions of key apoptosis-related genes and the characteristics of immune infiltration in psoriasis. We used GSE13355 and GSE30999 to screen differentially expressed apoptosis related genes (DEARGs) in our study. Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway, and gene set enrichment analysis (GSEA) were performed using clusterProfiler package. Protein–protein interaction (PPI) network was constructed to acquire key DEARGs. Transcription factor (TF)–target and miRNA–mRNA network analyses, drug sensitivity prediction, and immune infiltration were applied. Key DEARGs were validated using real-time quantitative PCR (RT-qPCR). RESULTS: We identified 482 and 32 DEARGs from GSE13355 and GSE30999, respectively. GO analysis showed that DEARGs were commonly enriched in cell chemotaxis, receptor ligand activity, and signaling receptor activator activity. KEGG pathway analysis indicated that viral protein interaction with cytokine and cytokine receptor was maximally enriched pathway. The GSEA analysis of GSE13355 and GSE30999 demonstrated a high consistency degree of enriched pathways. Thirteen key DEARGs with upregulation were obtained in the PPI network. Eleven key DEARGs were confirmed using RT-qPCR. Additionally, 5 TFs and 553 miRNAs were acquired, and three novel drugs were predicted. Moreover, Dendritic.cells.activated exhibited high levels of immune infiltration while Mast.cells.resting showed low levels of immune infiltration in psoriasis groups. CONCLUSION: Results of this study may reveal some insights into the underlying molecular mechanism of psoriasis and provide novel targeted drugs. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s41065-022-00233-0. |
format | Online Article Text |
id | pubmed-9213172 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-92131722022-06-22 Identification of key apoptosis-related genes and immune infiltration in the pathogenesis of psoriasis Zou, Ailing Kong, Qingtao Sang, Hong Hereditas Research BACKGROUND: Psoriasis is a condition in which skin cells build up and form itchy scales and dry patches. It is also considered a common lifelong disease with an unclear pathogenesis. Furthermore, an effective cure for psoriasis is still unavailable. Reductive apoptosis of keratinocytes and immune infiltration are common in psoriasis. This study aimed to explore underlying functions of key apoptosis-related genes and the characteristics of immune infiltration in psoriasis. We used GSE13355 and GSE30999 to screen differentially expressed apoptosis related genes (DEARGs) in our study. Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway, and gene set enrichment analysis (GSEA) were performed using clusterProfiler package. Protein–protein interaction (PPI) network was constructed to acquire key DEARGs. Transcription factor (TF)–target and miRNA–mRNA network analyses, drug sensitivity prediction, and immune infiltration were applied. Key DEARGs were validated using real-time quantitative PCR (RT-qPCR). RESULTS: We identified 482 and 32 DEARGs from GSE13355 and GSE30999, respectively. GO analysis showed that DEARGs were commonly enriched in cell chemotaxis, receptor ligand activity, and signaling receptor activator activity. KEGG pathway analysis indicated that viral protein interaction with cytokine and cytokine receptor was maximally enriched pathway. The GSEA analysis of GSE13355 and GSE30999 demonstrated a high consistency degree of enriched pathways. Thirteen key DEARGs with upregulation were obtained in the PPI network. Eleven key DEARGs were confirmed using RT-qPCR. Additionally, 5 TFs and 553 miRNAs were acquired, and three novel drugs were predicted. Moreover, Dendritic.cells.activated exhibited high levels of immune infiltration while Mast.cells.resting showed low levels of immune infiltration in psoriasis groups. CONCLUSION: Results of this study may reveal some insights into the underlying molecular mechanism of psoriasis and provide novel targeted drugs. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s41065-022-00233-0. BioMed Central 2022-06-22 /pmc/articles/PMC9213172/ /pubmed/35729678 http://dx.doi.org/10.1186/s41065-022-00233-0 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Zou, Ailing Kong, Qingtao Sang, Hong Identification of key apoptosis-related genes and immune infiltration in the pathogenesis of psoriasis |
title | Identification of key apoptosis-related genes and immune infiltration in the pathogenesis of psoriasis |
title_full | Identification of key apoptosis-related genes and immune infiltration in the pathogenesis of psoriasis |
title_fullStr | Identification of key apoptosis-related genes and immune infiltration in the pathogenesis of psoriasis |
title_full_unstemmed | Identification of key apoptosis-related genes and immune infiltration in the pathogenesis of psoriasis |
title_short | Identification of key apoptosis-related genes and immune infiltration in the pathogenesis of psoriasis |
title_sort | identification of key apoptosis-related genes and immune infiltration in the pathogenesis of psoriasis |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9213172/ https://www.ncbi.nlm.nih.gov/pubmed/35729678 http://dx.doi.org/10.1186/s41065-022-00233-0 |
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