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Exploration of the underlying comorbidity mechanism in psoriasis and periodontitis: a bioinformatics analysis
BACKGROUND: Increasing evidence indicates that psoriasis (PSO) and periodontitis (PD) are likely to occur together, however, the underlying mechanism remains unclear. MATERIALS AND METHODS: The expression profiles of PSO (lesion vs non-lesion, GSE30999, GSE14905) and PD (affected vs unaffected gingi...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9912623/ https://www.ncbi.nlm.nih.gov/pubmed/36765431 http://dx.doi.org/10.1186/s41065-023-00266-z |
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author | Lei, Hao Chen, Xin Wang, Ziyang Xing, Zixuan Du, Wenqian Bai, Ruimin He, Ke Zhang, Wen Wang, Yan Zheng, Yan |
author_facet | Lei, Hao Chen, Xin Wang, Ziyang Xing, Zixuan Du, Wenqian Bai, Ruimin He, Ke Zhang, Wen Wang, Yan Zheng, Yan |
author_sort | Lei, Hao |
collection | PubMed |
description | BACKGROUND: Increasing evidence indicates that psoriasis (PSO) and periodontitis (PD) are likely to occur together, however, the underlying mechanism remains unclear. MATERIALS AND METHODS: The expression profiles of PSO (lesion vs non-lesion, GSE30999, GSE14905) and PD (affected vs unaffected gingival tissue, GSE16134, GSE10334) were downloaded from the GEO database. First, we investigated the common differentially expressed genes (DEGs) of PSO and PD. Then, GO and KEGG enrichment analysis, protein interaction network (PPI) construction, and hub gene identification analysis were carried out. Finally, GO and KEGG enrichment analysis, miRNA interaction analysis, and transcription factors (TFs) interaction analysis for hub genes were performed. RESULTS: Eighteen DEGs were identified for further analysis, including 15 up-regulated genes and 3 down-regulated genes. 9 hub genes were then identified via Cytohubba, including IL1B, CXCL1, CXCL8, MMP12, CCL18, SELL, CXCL13, FCGR3B, and SELE. Their functions are mainly enriched in two aspects: neutrophil chemotaxis and migration, chemokine activation and interaction. The enriched signaling pathways includes three categories: host defense, inflammation-related signaling pathways, and disease-related pathways. 9 common miRNAs based on experimental evidence and 10 common TFs were further identified in both PSO and PD. CONCLUSION: Our study revealed possible comorbidity mechanisms in PSO and PD from the perspective of bioinformatics tentatively. The data can present new insight for joint prevention and treatment of in PSO and PD, as well as provide data support for further prospective studies. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s41065-023-00266-z. |
format | Online Article Text |
id | pubmed-9912623 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-99126232023-02-11 Exploration of the underlying comorbidity mechanism in psoriasis and periodontitis: a bioinformatics analysis Lei, Hao Chen, Xin Wang, Ziyang Xing, Zixuan Du, Wenqian Bai, Ruimin He, Ke Zhang, Wen Wang, Yan Zheng, Yan Hereditas Research BACKGROUND: Increasing evidence indicates that psoriasis (PSO) and periodontitis (PD) are likely to occur together, however, the underlying mechanism remains unclear. MATERIALS AND METHODS: The expression profiles of PSO (lesion vs non-lesion, GSE30999, GSE14905) and PD (affected vs unaffected gingival tissue, GSE16134, GSE10334) were downloaded from the GEO database. First, we investigated the common differentially expressed genes (DEGs) of PSO and PD. Then, GO and KEGG enrichment analysis, protein interaction network (PPI) construction, and hub gene identification analysis were carried out. Finally, GO and KEGG enrichment analysis, miRNA interaction analysis, and transcription factors (TFs) interaction analysis for hub genes were performed. RESULTS: Eighteen DEGs were identified for further analysis, including 15 up-regulated genes and 3 down-regulated genes. 9 hub genes were then identified via Cytohubba, including IL1B, CXCL1, CXCL8, MMP12, CCL18, SELL, CXCL13, FCGR3B, and SELE. Their functions are mainly enriched in two aspects: neutrophil chemotaxis and migration, chemokine activation and interaction. The enriched signaling pathways includes three categories: host defense, inflammation-related signaling pathways, and disease-related pathways. 9 common miRNAs based on experimental evidence and 10 common TFs were further identified in both PSO and PD. CONCLUSION: Our study revealed possible comorbidity mechanisms in PSO and PD from the perspective of bioinformatics tentatively. The data can present new insight for joint prevention and treatment of in PSO and PD, as well as provide data support for further prospective studies. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s41065-023-00266-z. BioMed Central 2023-02-10 /pmc/articles/PMC9912623/ /pubmed/36765431 http://dx.doi.org/10.1186/s41065-023-00266-z Text en © The Author(s) 2023 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 Lei, Hao Chen, Xin Wang, Ziyang Xing, Zixuan Du, Wenqian Bai, Ruimin He, Ke Zhang, Wen Wang, Yan Zheng, Yan Exploration of the underlying comorbidity mechanism in psoriasis and periodontitis: a bioinformatics analysis |
title | Exploration of the underlying comorbidity mechanism in psoriasis and periodontitis: a bioinformatics analysis |
title_full | Exploration of the underlying comorbidity mechanism in psoriasis and periodontitis: a bioinformatics analysis |
title_fullStr | Exploration of the underlying comorbidity mechanism in psoriasis and periodontitis: a bioinformatics analysis |
title_full_unstemmed | Exploration of the underlying comorbidity mechanism in psoriasis and periodontitis: a bioinformatics analysis |
title_short | Exploration of the underlying comorbidity mechanism in psoriasis and periodontitis: a bioinformatics analysis |
title_sort | exploration of the underlying comorbidity mechanism in psoriasis and periodontitis: a bioinformatics analysis |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9912623/ https://www.ncbi.nlm.nih.gov/pubmed/36765431 http://dx.doi.org/10.1186/s41065-023-00266-z |
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