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Identification of apoptosis-related key genes and the associated regulation mechanism in thoracic aortic aneurysm
BACKGROUND: This study investigated the role of apoptosis-related genes in thoracic aortic aneurysms (TAA) and provided more insights into TAA's pathogenesis and molecular mechanisms. MATERIAL/METHODS: Two gene expression datasets (GSE9106 and GSE26155) were retrieved from the Gene Expression O...
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/PMC10540322/ https://www.ncbi.nlm.nih.gov/pubmed/37770840 http://dx.doi.org/10.1186/s12872-023-03516-0 |
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author | Ma, Qi Hu, Long Luo, Yingwan Wang, Miao Yu, Shui Lu, Aidong Zhang, Leping Zeng, Huimin |
author_facet | Ma, Qi Hu, Long Luo, Yingwan Wang, Miao Yu, Shui Lu, Aidong Zhang, Leping Zeng, Huimin |
author_sort | Ma, Qi |
collection | PubMed |
description | BACKGROUND: This study investigated the role of apoptosis-related genes in thoracic aortic aneurysms (TAA) and provided more insights into TAA's pathogenesis and molecular mechanisms. MATERIAL/METHODS: Two gene expression datasets (GSE9106 and GSE26155) were retrieved from the Gene Expression Omnibus (GEO) database. Apoptosis-related genes were obtained from the KEGG apoptosis pathway (hsa04210). Differentially expressed apoptosis-related genes were identified by performing differential expression analysis using limma for TAA blood and tissue samples. GO and KEGG enrichment analysis of the differentially expressed apoptosis genes was performed using the Metascape web tool. The miRNA-mRNA regulatory network was reconstructed using the ENCORI and miRDB databases, and functional enrichment analysis was performed on the related miRNAs using the miEAA tool. The correlation between the expression levels of differentially expressed apoptosis-related genes and genes involved in immune infiltration in TAA was calculated using the CIBERSORT algorithm. The apoptosis modification patterns mediated by differentially expressed apoptosis-related genes were systematically assessed in TAA samples. RESULTS: A total of 9 differentially-expressed apoptosis-related genes were identified in TAA samples compared with normal samples. 150 miRNAs and 6 mRNAs regulatory networks were reconstructed using the ENCORI and miRDB databases. Immune infiltration analysis revealed that the GZMB had the strongest positive correlation with activated NK cells and the DFFA presented the strongest positive correlation with T cells follicular helper. 3 distinct apoptosis modification patterns mediated by 9 differentially-expressed apoptosis-related genes were identified. They differ in immune characteristics and drug sensitivity, and their biological functions in these subtypes were further studied. CONCLUSIONS: This study identified key apoptosis-related genes related to TAA and evaluated the modification patterns of key apoptosis genes in TAA, providing insights into potential targets and mechanisms of TAA pathogenesis and progression. |
format | Online Article Text |
id | pubmed-10540322 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-105403222023-09-30 Identification of apoptosis-related key genes and the associated regulation mechanism in thoracic aortic aneurysm Ma, Qi Hu, Long Luo, Yingwan Wang, Miao Yu, Shui Lu, Aidong Zhang, Leping Zeng, Huimin BMC Cardiovasc Disord Research BACKGROUND: This study investigated the role of apoptosis-related genes in thoracic aortic aneurysms (TAA) and provided more insights into TAA's pathogenesis and molecular mechanisms. MATERIAL/METHODS: Two gene expression datasets (GSE9106 and GSE26155) were retrieved from the Gene Expression Omnibus (GEO) database. Apoptosis-related genes were obtained from the KEGG apoptosis pathway (hsa04210). Differentially expressed apoptosis-related genes were identified by performing differential expression analysis using limma for TAA blood and tissue samples. GO and KEGG enrichment analysis of the differentially expressed apoptosis genes was performed using the Metascape web tool. The miRNA-mRNA regulatory network was reconstructed using the ENCORI and miRDB databases, and functional enrichment analysis was performed on the related miRNAs using the miEAA tool. The correlation between the expression levels of differentially expressed apoptosis-related genes and genes involved in immune infiltration in TAA was calculated using the CIBERSORT algorithm. The apoptosis modification patterns mediated by differentially expressed apoptosis-related genes were systematically assessed in TAA samples. RESULTS: A total of 9 differentially-expressed apoptosis-related genes were identified in TAA samples compared with normal samples. 150 miRNAs and 6 mRNAs regulatory networks were reconstructed using the ENCORI and miRDB databases. Immune infiltration analysis revealed that the GZMB had the strongest positive correlation with activated NK cells and the DFFA presented the strongest positive correlation with T cells follicular helper. 3 distinct apoptosis modification patterns mediated by 9 differentially-expressed apoptosis-related genes were identified. They differ in immune characteristics and drug sensitivity, and their biological functions in these subtypes were further studied. CONCLUSIONS: This study identified key apoptosis-related genes related to TAA and evaluated the modification patterns of key apoptosis genes in TAA, providing insights into potential targets and mechanisms of TAA pathogenesis and progression. BioMed Central 2023-09-28 /pmc/articles/PMC10540322/ /pubmed/37770840 http://dx.doi.org/10.1186/s12872-023-03516-0 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This 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 Ma, Qi Hu, Long Luo, Yingwan Wang, Miao Yu, Shui Lu, Aidong Zhang, Leping Zeng, Huimin Identification of apoptosis-related key genes and the associated regulation mechanism in thoracic aortic aneurysm |
title | Identification of apoptosis-related key genes and the associated regulation mechanism in thoracic aortic aneurysm |
title_full | Identification of apoptosis-related key genes and the associated regulation mechanism in thoracic aortic aneurysm |
title_fullStr | Identification of apoptosis-related key genes and the associated regulation mechanism in thoracic aortic aneurysm |
title_full_unstemmed | Identification of apoptosis-related key genes and the associated regulation mechanism in thoracic aortic aneurysm |
title_short | Identification of apoptosis-related key genes and the associated regulation mechanism in thoracic aortic aneurysm |
title_sort | identification of apoptosis-related key genes and the associated regulation mechanism in thoracic aortic aneurysm |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10540322/ https://www.ncbi.nlm.nih.gov/pubmed/37770840 http://dx.doi.org/10.1186/s12872-023-03516-0 |
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