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Identification of biomarkers and analysis of infiltrated immune cells in stable and ruptured abdominal aortic aneurysms

OBJECTIVES: The mortality rate of abdominal aortic aneurysm (AAA) is extremely high in the older population. This study aimed to identify potential biomarkers of AAA and aortic rupture and analyze infiltration of immune cells in stable and ruptured AAA samples. METHODS: Raw data of GSE47472, GSE5769...

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Autores principales: Chen, Yubin, Ouyang, Tianyu, Fang, Cheng, Tang, Can-e, Lei, Kaibo, Jiang, Longtan, Luo, Fanyan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9492965/
https://www.ncbi.nlm.nih.gov/pubmed/36158807
http://dx.doi.org/10.3389/fcvm.2022.941185
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author Chen, Yubin
Ouyang, Tianyu
Fang, Cheng
Tang, Can-e
Lei, Kaibo
Jiang, Longtan
Luo, Fanyan
author_facet Chen, Yubin
Ouyang, Tianyu
Fang, Cheng
Tang, Can-e
Lei, Kaibo
Jiang, Longtan
Luo, Fanyan
author_sort Chen, Yubin
collection PubMed
description OBJECTIVES: The mortality rate of abdominal aortic aneurysm (AAA) is extremely high in the older population. This study aimed to identify potential biomarkers of AAA and aortic rupture and analyze infiltration of immune cells in stable and ruptured AAA samples. METHODS: Raw data of GSE47472, GSE57691, and GSE98278 were downloaded. After data processing, the co-expression gene networks were constructed. Gene Ontology and pathway enrichment analysis of AAA- and aortic rupture-related gene modules were conducted using the Database for Annotation, Visualization, and Integrated Discovery. Gene set enrichment analysis (GSEA) and gene set variation analysis (GSVA) were used for further enrichment analysis. The CIBERSORT tool was used to analyze the relative abundance of immune cells in samples. Differentially expressed immune-related genes were analyzed between different samples. Predictive models were constructed via extreme gradient boosting, and hub genes were identified according to feature importance. RESULTS: Blue and yellow modules were significantly related to AAA, and genes in these modules were associated with the aortic wall and immune response, respectively. In terms of aortic rupture, the most relevant module was significantly enriched in the inflammatory response. The results of GSEA and GSVA suggested that immune cells and the inflammatory response were involved in the development of AAA and aortic rupture. There were significant differences in the infiltration of immune cells and expression levels of immune-related genes among different samples. NFKB1 might be an important transcription factor mediating the inflammatory response of AAA and aortic rupture. After the construction of a predictive model, CD19, SELL, and CCR7 were selected as hub genes for AAA whereas OAS3, IFIT1, and IFI44L were identified as hub genes for aortic rupture. CONCLUSION: Weakening of the aortic wall and the immune response both contributed to the development of AAA, and the inflammatory response was closely associated with aortic rupture. The infiltration of immune cells was significantly different between different samples. NFKB1 might be an important transcription factor in AAA and aortic rupture. CD19, SELL, and CCR7 had potential diagnostic value for AAA. OAS3, IFIT1, and IFI44L might be predictive factors for aortic rupture.
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spelling pubmed-94929652022-09-23 Identification of biomarkers and analysis of infiltrated immune cells in stable and ruptured abdominal aortic aneurysms Chen, Yubin Ouyang, Tianyu Fang, Cheng Tang, Can-e Lei, Kaibo Jiang, Longtan Luo, Fanyan Front Cardiovasc Med Cardiovascular Medicine OBJECTIVES: The mortality rate of abdominal aortic aneurysm (AAA) is extremely high in the older population. This study aimed to identify potential biomarkers of AAA and aortic rupture and analyze infiltration of immune cells in stable and ruptured AAA samples. METHODS: Raw data of GSE47472, GSE57691, and GSE98278 were downloaded. After data processing, the co-expression gene networks were constructed. Gene Ontology and pathway enrichment analysis of AAA- and aortic rupture-related gene modules were conducted using the Database for Annotation, Visualization, and Integrated Discovery. Gene set enrichment analysis (GSEA) and gene set variation analysis (GSVA) were used for further enrichment analysis. The CIBERSORT tool was used to analyze the relative abundance of immune cells in samples. Differentially expressed immune-related genes were analyzed between different samples. Predictive models were constructed via extreme gradient boosting, and hub genes were identified according to feature importance. RESULTS: Blue and yellow modules were significantly related to AAA, and genes in these modules were associated with the aortic wall and immune response, respectively. In terms of aortic rupture, the most relevant module was significantly enriched in the inflammatory response. The results of GSEA and GSVA suggested that immune cells and the inflammatory response were involved in the development of AAA and aortic rupture. There were significant differences in the infiltration of immune cells and expression levels of immune-related genes among different samples. NFKB1 might be an important transcription factor mediating the inflammatory response of AAA and aortic rupture. After the construction of a predictive model, CD19, SELL, and CCR7 were selected as hub genes for AAA whereas OAS3, IFIT1, and IFI44L were identified as hub genes for aortic rupture. CONCLUSION: Weakening of the aortic wall and the immune response both contributed to the development of AAA, and the inflammatory response was closely associated with aortic rupture. The infiltration of immune cells was significantly different between different samples. NFKB1 might be an important transcription factor in AAA and aortic rupture. CD19, SELL, and CCR7 had potential diagnostic value for AAA. OAS3, IFIT1, and IFI44L might be predictive factors for aortic rupture. Frontiers Media S.A. 2022-09-08 /pmc/articles/PMC9492965/ /pubmed/36158807 http://dx.doi.org/10.3389/fcvm.2022.941185 Text en Copyright © 2022 Chen, Ouyang, Fang, Tang, Lei, Jiang and Luo. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Cardiovascular Medicine
Chen, Yubin
Ouyang, Tianyu
Fang, Cheng
Tang, Can-e
Lei, Kaibo
Jiang, Longtan
Luo, Fanyan
Identification of biomarkers and analysis of infiltrated immune cells in stable and ruptured abdominal aortic aneurysms
title Identification of biomarkers and analysis of infiltrated immune cells in stable and ruptured abdominal aortic aneurysms
title_full Identification of biomarkers and analysis of infiltrated immune cells in stable and ruptured abdominal aortic aneurysms
title_fullStr Identification of biomarkers and analysis of infiltrated immune cells in stable and ruptured abdominal aortic aneurysms
title_full_unstemmed Identification of biomarkers and analysis of infiltrated immune cells in stable and ruptured abdominal aortic aneurysms
title_short Identification of biomarkers and analysis of infiltrated immune cells in stable and ruptured abdominal aortic aneurysms
title_sort identification of biomarkers and analysis of infiltrated immune cells in stable and ruptured abdominal aortic aneurysms
topic Cardiovascular Medicine
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9492965/
https://www.ncbi.nlm.nih.gov/pubmed/36158807
http://dx.doi.org/10.3389/fcvm.2022.941185
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