Analysis of Inflammation-Related Genes in Patients with Stanford Type A Aortic Dissection
<b>Background:</b> Aortic dissection (AD) is a life-threatening cardiovascular disease. Pathophysiologically, it has been shown that aortic wall inflammation promotes the occurrence and development of aortic dissection. Thus, the aim of the current research was to determine the inflammat...
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MDPI AG
2023-06-01
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| Series: | Journal of Personalized Medicine |
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| Online Access: | https://www.mdpi.com/2075-4426/13/6/990 |
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| author | Lin Li Ziwei Zeng Vugar Yagublu Nuh Rahbari Christoph Reißfelder Michael Keese |
| author_facet | Lin Li Ziwei Zeng Vugar Yagublu Nuh Rahbari Christoph Reißfelder Michael Keese |
| author_sort | Lin Li |
| collection | DOAJ |
| description | <b>Background:</b> Aortic dissection (AD) is a life-threatening cardiovascular disease. Pathophysiologically, it has been shown that aortic wall inflammation promotes the occurrence and development of aortic dissection. Thus, the aim of the current research was to determine the inflammation-related biomarkers in AD. <b>Methods:</b> In this study, we conducted differentially expressed genes (DEGs) analysis using the GSE153434 dataset containing 10 type A aortic dissection (TAAD) and 10 normal samples downloaded from the Gene Expression Omnibus (GEO) database. The intersection of DEGs and inflammation-related genes was identified as differential expressed inflammation-related genes (DEIRGs). Gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analyses were performed for DEIRGs. We then constructed the protein–protein interaction (PPI) network using the Search Tool for the Retrieval of Interacting Genes/Proteins (STRING) database and identified hub genes using the Cytoscape plugin MCODE. Finally, least absolute shrinkage and selection operator (LASSO) logistic regression was used to construct a diagnostic model. <b>Results:</b> A total of 1728 DEGs were identified between the TAAD and normal samples. Thereafter, 61 DEIRGs are obtained by taking the intersection of DEGs and inflammation-related genes. The GO indicated that DEIRGs were mainly enriched in response to lipopolysaccharide, in response to molecules of bacterial origin, secretory granule membrane, external side of plasma, receptor ligand activity, and signaling receptor activator activity. KEGG analysis indicated that DEIRGs were mainly enriched in cytokine–cytokine receptor interaction, TNF signaling pathway, and proteoglycans in cancer. We identified <i>MYC</i>, <i>SELL</i>, <i>HIF1A</i>, <i>EDN1</i>, <i>SERPINE1</i>, <i>CCL20</i>, <i>IL1R1</i>, <i>NOD2</i>, <i>TLR2</i>, <i>CD69</i>, <i>PLAUR</i>, <i>MMP14</i>, and <i>HBEGF</i> as hub genes using the MCODE plug-in. The ROC indicated these genes had a good diagnostic performance for TAAD. <b>Conclusion:</b> In conclusion, our study identified 13 hub genes in the TAAD. This study will be of significance for the future development of a preventive therapy of TAAD. |
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| last_indexed | 2024-03-11T02:15:20Z |
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| spelling | doaj.art-4c3ac95d28de4a0697416b27741599432023-11-18T11:11:34ZengMDPI AGJournal of Personalized Medicine2075-44262023-06-0113699010.3390/jpm13060990Analysis of Inflammation-Related Genes in Patients with Stanford Type A Aortic DissectionLin Li0Ziwei Zeng1Vugar Yagublu2Nuh Rahbari3Christoph Reißfelder4Michael Keese5Department of Vascular Surgery, Medical Faculty Mannheim, Heidelberg University, 68167 Mannheim, GermanyDepartment of Vascular Surgery, Medical Faculty Mannheim, Heidelberg University, 68167 Mannheim, GermanySurgical Clinic Mannheim, Medical Faculty Mannheim, Heidelberg University, 68167 Mannheim, GermanySurgical Clinic Mannheim, Medical Faculty Mannheim, Heidelberg University, 68167 Mannheim, GermanySurgical Clinic Mannheim, Medical Faculty Mannheim, Heidelberg University, 68167 Mannheim, GermanyEuropean Center of Angioscience ECAS, Medical Faculty Mannheim, Heidelberg University, 68167 Mannheim, Germany<b>Background:</b> Aortic dissection (AD) is a life-threatening cardiovascular disease. Pathophysiologically, it has been shown that aortic wall inflammation promotes the occurrence and development of aortic dissection. Thus, the aim of the current research was to determine the inflammation-related biomarkers in AD. <b>Methods:</b> In this study, we conducted differentially expressed genes (DEGs) analysis using the GSE153434 dataset containing 10 type A aortic dissection (TAAD) and 10 normal samples downloaded from the Gene Expression Omnibus (GEO) database. The intersection of DEGs and inflammation-related genes was identified as differential expressed inflammation-related genes (DEIRGs). Gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analyses were performed for DEIRGs. We then constructed the protein–protein interaction (PPI) network using the Search Tool for the Retrieval of Interacting Genes/Proteins (STRING) database and identified hub genes using the Cytoscape plugin MCODE. Finally, least absolute shrinkage and selection operator (LASSO) logistic regression was used to construct a diagnostic model. <b>Results:</b> A total of 1728 DEGs were identified between the TAAD and normal samples. Thereafter, 61 DEIRGs are obtained by taking the intersection of DEGs and inflammation-related genes. The GO indicated that DEIRGs were mainly enriched in response to lipopolysaccharide, in response to molecules of bacterial origin, secretory granule membrane, external side of plasma, receptor ligand activity, and signaling receptor activator activity. KEGG analysis indicated that DEIRGs were mainly enriched in cytokine–cytokine receptor interaction, TNF signaling pathway, and proteoglycans in cancer. We identified <i>MYC</i>, <i>SELL</i>, <i>HIF1A</i>, <i>EDN1</i>, <i>SERPINE1</i>, <i>CCL20</i>, <i>IL1R1</i>, <i>NOD2</i>, <i>TLR2</i>, <i>CD69</i>, <i>PLAUR</i>, <i>MMP14</i>, and <i>HBEGF</i> as hub genes using the MCODE plug-in. The ROC indicated these genes had a good diagnostic performance for TAAD. <b>Conclusion:</b> In conclusion, our study identified 13 hub genes in the TAAD. This study will be of significance for the future development of a preventive therapy of TAAD.https://www.mdpi.com/2075-4426/13/6/990TAADhub geneinflammation-related genes |
| spellingShingle | Lin Li Ziwei Zeng Vugar Yagublu Nuh Rahbari Christoph Reißfelder Michael Keese Analysis of Inflammation-Related Genes in Patients with Stanford Type A Aortic Dissection Journal of Personalized Medicine TAAD hub gene inflammation-related genes |
| title | Analysis of Inflammation-Related Genes in Patients with Stanford Type A Aortic Dissection |
| title_full | Analysis of Inflammation-Related Genes in Patients with Stanford Type A Aortic Dissection |
| title_fullStr | Analysis of Inflammation-Related Genes in Patients with Stanford Type A Aortic Dissection |
| title_full_unstemmed | Analysis of Inflammation-Related Genes in Patients with Stanford Type A Aortic Dissection |
| title_short | Analysis of Inflammation-Related Genes in Patients with Stanford Type A Aortic Dissection |
| title_sort | analysis of inflammation related genes in patients with stanford type a aortic dissection |
| topic | TAAD hub gene inflammation-related genes |
| url | https://www.mdpi.com/2075-4426/13/6/990 |
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