Identification of novel genetic biomarkers and treatment targets for arteriosclerosis-related abdominal aortic aneurysm using bioinformatic tools

A large number of epidemiological studies have confirmed that arteriosclerosis (AS) is a risk factor for abdominal aortic aneurysm (AAA). However, the relationship between AS and AAA remains controversial. The objective of this work is to better understand the association between the two diseases by...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Fang Niu, Zongwei Liu, Peidong Liu, Hongrui Pan, Jiaxue Bi, Peng Li, Guangze Luo, Yonghui Chen, Xiaoxing Zhang, Xiangchen Dai
Formato:	article
Lenguaje:	EN
Publicado:	AIMS Press 2021
Materias:	gene expression analysis bioinformatics biomarkers therapeutic targets arteriosclerosis-related abdominal aortic aneurysm Biotechnology TP248.13-248.65 Mathematics QA1-939
Acceso en línea:	https://doaj.org/article/d9ddde3d05a94e949baaaa612064e6bb
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:d9ddde3d05a94e949baaaa612064e6bb
record_format	dspace
spelling	oai:doaj.org-article:d9ddde3d05a94e949baaaa612064e6bb2021-11-29T06:39:57ZIdentification of novel genetic biomarkers and treatment targets for arteriosclerosis-related abdominal aortic aneurysm using bioinformatic tools10.3934/mbe.20214781551-0018https://doaj.org/article/d9ddde3d05a94e949baaaa612064e6bb2021-11-01T00:00:00Zhttps://www.aimspress.com/article/doi/10.3934/mbe.2021478?viewType=HTMLhttps://doaj.org/toc/1551-0018A large number of epidemiological studies have confirmed that arteriosclerosis (AS) is a risk factor for abdominal aortic aneurysm (AAA). However, the relationship between AS and AAA remains controversial. The objective of this work is to better understand the association between the two diseases by identifying the co-differentially expressed genes under both pathological conditions, so as to identify potential genetic biomarkers and treatment targets for atherosclerosis-related aneurysms. Differentially-expressed genes (DEGs) shared by both AS and AAA patients were identified by bioinformatics analyses of Gene Expression Omnibus (GEO) datasets GSE100927 and GSE7084. These DEGs were then subjected to bioinformatic analyses of protein-protein interaction (PPI), Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG). Finally, the identified hub genes were further validated by qRT-PCR in AS (n = 4), AAA (n = 4), and healthy (n = 4) individuals. Differential expression analysis revealed a total of 169 and 37 genes that had increased and decreased expression levels, respectively, in both AS and AAA patients compared with healthy controls. The construction of a PPI network and key modules resulted in the identification of five hub genes (SPI1, TYROBP, TLR2, FCER1G, and MMP9) as candidate diagnostic biomarkers and treatment targets for patients with AS-related AAA. AS and AAA are indeed correlated; SPI1, TYROBP, TLR2, FCER1G and MMP9 genes are potential new genetic biomarkers for AS-related AAA.Fang NiuZongwei LiuPeidong LiuHongrui PanJiaxue Bi Peng LiGuangze LuoYonghui ChenXiaoxing ZhangXiangchen Dai AIMS Pressarticlegene expression analysisbioinformaticsbiomarkerstherapeutic targetsarteriosclerosis-related abdominal aortic aneurysmBiotechnologyTP248.13-248.65MathematicsQA1-939ENMathematical Biosciences and Engineering, Vol 18, Iss 6, Pp 9761-9774 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	gene expression analysis bioinformatics biomarkers therapeutic targets arteriosclerosis-related abdominal aortic aneurysm Biotechnology TP248.13-248.65 Mathematics QA1-939
spellingShingle	gene expression analysis bioinformatics biomarkers therapeutic targets arteriosclerosis-related abdominal aortic aneurysm Biotechnology TP248.13-248.65 Mathematics QA1-939 Fang Niu Zongwei Liu Peidong Liu Hongrui Pan Jiaxue Bi Peng Li Guangze Luo Yonghui Chen Xiaoxing Zhang Xiangchen Dai Identification of novel genetic biomarkers and treatment targets for arteriosclerosis-related abdominal aortic aneurysm using bioinformatic tools
description	A large number of epidemiological studies have confirmed that arteriosclerosis (AS) is a risk factor for abdominal aortic aneurysm (AAA). However, the relationship between AS and AAA remains controversial. The objective of this work is to better understand the association between the two diseases by identifying the co-differentially expressed genes under both pathological conditions, so as to identify potential genetic biomarkers and treatment targets for atherosclerosis-related aneurysms. Differentially-expressed genes (DEGs) shared by both AS and AAA patients were identified by bioinformatics analyses of Gene Expression Omnibus (GEO) datasets GSE100927 and GSE7084. These DEGs were then subjected to bioinformatic analyses of protein-protein interaction (PPI), Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG). Finally, the identified hub genes were further validated by qRT-PCR in AS (n = 4), AAA (n = 4), and healthy (n = 4) individuals. Differential expression analysis revealed a total of 169 and 37 genes that had increased and decreased expression levels, respectively, in both AS and AAA patients compared with healthy controls. The construction of a PPI network and key modules resulted in the identification of five hub genes (SPI1, TYROBP, TLR2, FCER1G, and MMP9) as candidate diagnostic biomarkers and treatment targets for patients with AS-related AAA. AS and AAA are indeed correlated; SPI1, TYROBP, TLR2, FCER1G and MMP9 genes are potential new genetic biomarkers for AS-related AAA.
format	article
author	Fang Niu Zongwei Liu Peidong Liu Hongrui Pan Jiaxue Bi Peng Li Guangze Luo Yonghui Chen Xiaoxing Zhang Xiangchen Dai
author_facet	Fang Niu Zongwei Liu Peidong Liu Hongrui Pan Jiaxue Bi Peng Li Guangze Luo Yonghui Chen Xiaoxing Zhang Xiangchen Dai
author_sort	Fang Niu
title	Identification of novel genetic biomarkers and treatment targets for arteriosclerosis-related abdominal aortic aneurysm using bioinformatic tools
title_short	Identification of novel genetic biomarkers and treatment targets for arteriosclerosis-related abdominal aortic aneurysm using bioinformatic tools
title_full	Identification of novel genetic biomarkers and treatment targets for arteriosclerosis-related abdominal aortic aneurysm using bioinformatic tools
title_fullStr	Identification of novel genetic biomarkers and treatment targets for arteriosclerosis-related abdominal aortic aneurysm using bioinformatic tools
title_full_unstemmed	Identification of novel genetic biomarkers and treatment targets for arteriosclerosis-related abdominal aortic aneurysm using bioinformatic tools
title_sort	identification of novel genetic biomarkers and treatment targets for arteriosclerosis-related abdominal aortic aneurysm using bioinformatic tools
publisher	AIMS Press
publishDate	2021
url	https://doaj.org/article/d9ddde3d05a94e949baaaa612064e6bb
work_keys_str_mv	AT fangniu identificationofnovelgeneticbiomarkersandtreatmenttargetsforarteriosclerosisrelatedabdominalaorticaneurysmusingbioinformatictools AT zongweiliu identificationofnovelgeneticbiomarkersandtreatmenttargetsforarteriosclerosisrelatedabdominalaorticaneurysmusingbioinformatictools AT peidongliu identificationofnovelgeneticbiomarkersandtreatmenttargetsforarteriosclerosisrelatedabdominalaorticaneurysmusingbioinformatictools AT hongruipan identificationofnovelgeneticbiomarkersandtreatmenttargetsforarteriosclerosisrelatedabdominalaorticaneurysmusingbioinformatictools AT jiaxuebi identificationofnovelgeneticbiomarkersandtreatmenttargetsforarteriosclerosisrelatedabdominalaorticaneurysmusingbioinformatictools AT pengli identificationofnovelgeneticbiomarkersandtreatmenttargetsforarteriosclerosisrelatedabdominalaorticaneurysmusingbioinformatictools AT guangzeluo identificationofnovelgeneticbiomarkersandtreatmenttargetsforarteriosclerosisrelatedabdominalaorticaneurysmusingbioinformatictools AT yonghuichen identificationofnovelgeneticbiomarkersandtreatmenttargetsforarteriosclerosisrelatedabdominalaorticaneurysmusingbioinformatictools AT xiaoxingzhang identificationofnovelgeneticbiomarkersandtreatmenttargetsforarteriosclerosisrelatedabdominalaorticaneurysmusingbioinformatictools AT xiangchendai identificationofnovelgeneticbiomarkersandtreatmenttargetsforarteriosclerosisrelatedabdominalaorticaneurysmusingbioinformatictools
_version_	1718407556068540416

Identification of novel genetic biomarkers and treatment targets for arteriosclerosis-related abdominal aortic aneurysm using bioinformatic tools

Ejemplares similares