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Bioinformatics analysis to reveal the potential comorbidity mechanism in psoriasis and nonalcoholic steatohepatitis
PURPOSE: An increasing amount of evidence suggests that psoriasis and nonalcoholic steatohepatitis (NASH) may occur simultaneously, whereas the underlying mechanisms remain unclear. Our research aims to explore the potential comorbidity mechanism in psoriasis and nonalcoholic steatohepatitis. MATERI...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10474328/ https://www.ncbi.nlm.nih.gov/pubmed/37753698 http://dx.doi.org/10.1111/srt.13457 |
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author | Xian, Ningyi Bai, Ruimin Guo, Jiaqi Luo, Ruiting Lei, Hao Wang, Bingqing Zheng, Yan |
author_facet | Xian, Ningyi Bai, Ruimin Guo, Jiaqi Luo, Ruiting Lei, Hao Wang, Bingqing Zheng, Yan |
author_sort | Xian, Ningyi |
collection | PubMed |
description | PURPOSE: An increasing amount of evidence suggests that psoriasis and nonalcoholic steatohepatitis (NASH) may occur simultaneously, whereas the underlying mechanisms remain unclear. Our research aims to explore the potential comorbidity mechanism in psoriasis and nonalcoholic steatohepatitis. MATERIALS AND METHODS: The expression profiles of psoriasis (GSE30999, GSE13355) and NASH (GSE24807, GSE17470) were downloaded from GEO datasets. Next, common differently expressed genes (DEGs) of psoriasis and NASH were investigated. Then, GO and KEGG enrichment, protein interaction network (PPI) construction, and hub gene identification for DEGs were performed. Finally, immune cells expression, target genes predicted by common miRNAs, and transcription factors interaction analysis for hub genes were carried out. RESULTS: Twenty DEGs were identified in totally. GO analysis revealed response to the virus was the most enriched term, and hepatitis C and coronavirus disease‐COVID‐19 infection‐associated pathways were mainly enriched in KEGG. A total of eight hub genes were collected, including IFIT1, IFIT3, OAS1, HPGDS, IFI27, IFI44, CXCL10, IRF9, and 11 TFs were predicted. Then, neutrophils and monocytes were identified as immune cells that express the most hub genes. Moreover, five common miRNAs for psoriasis and NASH and one common miRNAs (hsa‐miR‐1305)‐mRNAs (CHL1, MBNL2) network were presented. CONCLUSION: CHL1 and MBNL2 may participate in the process of psoriasis and NASH via regulating hsa‐miR‐1305, and together with eight hub genes may be potential therapeutic targets for future treatment for the co‐occurrence of these two diseases. This comprehensive bioinformatic analysis provides new insights on molecular pathogenesis and identification of potential therapeutic targets for the co‐occurrence of them. |
format | Online Article Text |
id | pubmed-10474328 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-104743282023-09-03 Bioinformatics analysis to reveal the potential comorbidity mechanism in psoriasis and nonalcoholic steatohepatitis Xian, Ningyi Bai, Ruimin Guo, Jiaqi Luo, Ruiting Lei, Hao Wang, Bingqing Zheng, Yan Skin Res Technol Original Articles PURPOSE: An increasing amount of evidence suggests that psoriasis and nonalcoholic steatohepatitis (NASH) may occur simultaneously, whereas the underlying mechanisms remain unclear. Our research aims to explore the potential comorbidity mechanism in psoriasis and nonalcoholic steatohepatitis. MATERIALS AND METHODS: The expression profiles of psoriasis (GSE30999, GSE13355) and NASH (GSE24807, GSE17470) were downloaded from GEO datasets. Next, common differently expressed genes (DEGs) of psoriasis and NASH were investigated. Then, GO and KEGG enrichment, protein interaction network (PPI) construction, and hub gene identification for DEGs were performed. Finally, immune cells expression, target genes predicted by common miRNAs, and transcription factors interaction analysis for hub genes were carried out. RESULTS: Twenty DEGs were identified in totally. GO analysis revealed response to the virus was the most enriched term, and hepatitis C and coronavirus disease‐COVID‐19 infection‐associated pathways were mainly enriched in KEGG. A total of eight hub genes were collected, including IFIT1, IFIT3, OAS1, HPGDS, IFI27, IFI44, CXCL10, IRF9, and 11 TFs were predicted. Then, neutrophils and monocytes were identified as immune cells that express the most hub genes. Moreover, five common miRNAs for psoriasis and NASH and one common miRNAs (hsa‐miR‐1305)‐mRNAs (CHL1, MBNL2) network were presented. CONCLUSION: CHL1 and MBNL2 may participate in the process of psoriasis and NASH via regulating hsa‐miR‐1305, and together with eight hub genes may be potential therapeutic targets for future treatment for the co‐occurrence of these two diseases. This comprehensive bioinformatic analysis provides new insights on molecular pathogenesis and identification of potential therapeutic targets for the co‐occurrence of them. John Wiley and Sons Inc. 2023-09-01 /pmc/articles/PMC10474328/ /pubmed/37753698 http://dx.doi.org/10.1111/srt.13457 Text en © 2023 The Authors. Skin Research and Technology published by John Wiley & Sons Ltd. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes. |
spellingShingle | Original Articles Xian, Ningyi Bai, Ruimin Guo, Jiaqi Luo, Ruiting Lei, Hao Wang, Bingqing Zheng, Yan Bioinformatics analysis to reveal the potential comorbidity mechanism in psoriasis and nonalcoholic steatohepatitis |
title | Bioinformatics analysis to reveal the potential comorbidity mechanism in psoriasis and nonalcoholic steatohepatitis |
title_full | Bioinformatics analysis to reveal the potential comorbidity mechanism in psoriasis and nonalcoholic steatohepatitis |
title_fullStr | Bioinformatics analysis to reveal the potential comorbidity mechanism in psoriasis and nonalcoholic steatohepatitis |
title_full_unstemmed | Bioinformatics analysis to reveal the potential comorbidity mechanism in psoriasis and nonalcoholic steatohepatitis |
title_short | Bioinformatics analysis to reveal the potential comorbidity mechanism in psoriasis and nonalcoholic steatohepatitis |
title_sort | bioinformatics analysis to reveal the potential comorbidity mechanism in psoriasis and nonalcoholic steatohepatitis |
topic | Original Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10474328/ https://www.ncbi.nlm.nih.gov/pubmed/37753698 http://dx.doi.org/10.1111/srt.13457 |
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