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Status: Bibliographieeintrag

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Verfasst von:Li, Lin [VerfasserIn]   i
 Zeng, Ziwei [VerfasserIn]   i
 Yagublu, Vugar [VerfasserIn]   i
 Rahbari, Nuh Nabi [VerfasserIn]   i
 Reißfelder, Christoph [VerfasserIn]   i
 Keese, Michael [VerfasserIn]   i
Titel:Analysis of inflammation-related genes in patients with stanford type A aortic dissection
Verf.angabe:Lin Li, Ziwei Zeng, Vugar Yagublu, Nuh Rahbari, Christoph Reißfelder and Michael Keese
E-Jahr:2023
Jahr: 13 June 2023
Umfang:17 S.
Fussnoten:Gesehen am 30.09.2024
Titel Quelle:Enthalten in: Journal of Personalized Medicine
Ort Quelle:Basel : MDPI, 2011
Jahr Quelle:2023
Band/Heft Quelle:13(2023), 6, Artikel-ID 990, Seite 1-17
ISSN Quelle:2075-4426
Abstract:Background: 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. Methods: 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. Results: 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 MYC, SELL, HIF1A, EDN1, SERPINE1, CCL20, IL1R1, NOD2, TLR2, CD69, PLAUR, MMP14, and HBEGF as hub genes using the MCODE plug-in. The ROC indicated these genes had a good diagnostic performance for TAAD. Conclusion: 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.
DOI:doi:10.3390/jpm13060990
URL:Bitte beachten Sie: Dies ist ein Bibliographieeintrag. Ein Volltextzugriff für Mitglieder der Universität besteht hier nur, falls für die entsprechende Zeitschrift/den entsprechenden Sammelband ein Abonnement besteht oder es sich um einen OpenAccess-Titel handelt.

kostenfrei: Volltext: https://doi.org/10.3390/jpm13060990
 kostenfrei: Volltext: https://www.mdpi.com/2075-4426/13/6/990
 DOI: https://doi.org/10.3390/jpm13060990
Datenträger:Online-Ressource
Sprache:eng
Sach-SW:hub gene
 inflammation-related genes
 TAAD
K10plus-PPN:1903730643
Verknüpfungen:→ Zeitschrift

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