Cargando…

Identification of crucial genes mediating abdominal aortic aneurysm pathogenesis based on gene expression profiling of perivascular adipose tissue by WGCNA

BACKGROUND: With a mortality rate of 65–85%, a ruptured abdominal aortic aneurysm (AAA) can have catastrophic consequences for patients. However, few effective pharmaceutical treatments are available to treat this condition. Therefore, elucidating the pathogenesis of AAA and finding the potential mo...

Descripción completa

Detalles Bibliográficos
Autores principales: Chen, Siliang, Yang, Dan, Liu, Bao, Chen, Yuexin, Ye, We, Chen, Mengyin, Zheng, Yuehong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AME Publishing Company 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7859787/
https://www.ncbi.nlm.nih.gov/pubmed/33553345
http://dx.doi.org/10.21037/atm-20-3758
_version_ 1783646811807809536
author Chen, Siliang
Yang, Dan
Liu, Bao
Chen, Yuexin
Ye, We
Chen, Mengyin
Zheng, Yuehong
author_facet Chen, Siliang
Yang, Dan
Liu, Bao
Chen, Yuexin
Ye, We
Chen, Mengyin
Zheng, Yuehong
author_sort Chen, Siliang
collection PubMed
description BACKGROUND: With a mortality rate of 65–85%, a ruptured abdominal aortic aneurysm (AAA) can have catastrophic consequences for patients. However, few effective pharmaceutical treatments are available to treat this condition. Therefore, elucidating the pathogenesis of AAA and finding the potential molecular targets for medical therapies are vital lines of research. METHODS: An mRNA microarray dataset of perivascular adipose tissue (PVAT) in AAA patients was downloaded and differentially expressed gene (DEG) screening was performed. Weighted gene co-expression networks for dilated and non-dilated PVAT samples were constructed via weighted correlation network analysis (WGCNA) and used to detect gene modules. Functional annotation analysis was performed for the DEGs and gene modules. We identified the hub genes of the modules and created a DEG co-expression network. We then mined crucial genes based on this network using Molecular Complex Detection (MCODE) in Cytoscape. Crucial genes with top-6 degree in the crucial gene cluster were visualized, and their potential clinical significance was determined. RESULTS: Of the 173 DEGs screened, 99 were upregulated and 74 were downregulated. Co-expression networks were built and we detected 6 and 5 modules for dilated and non-dilated PVAT samples, respectively. The turquoise and black modules for dilated PVAT samples were related to inflammation and immune response. MAP4K1 and PROK2 were the hub genes of these 2 modules, respectively. Then a DEG co-expression network with 112 nodes and 953 edges was created. PLAU was the crucial gene with the highest connectivity and showed potential clinical significance. CONCLUSIONS: Using WGCNA, gene modules were detected and hub genes and crucial genes were identified. These crucial genes might be potential targets for pharmaceutic therapies and have potential clinical significance. Future in vitro and in vivo experiments are required to more comprehensively explore the biological mechanisms by which these genes affect AAA pathogenesis
format Online
Article
Text
id pubmed-7859787
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher AME Publishing Company
record_format MEDLINE/PubMed
spelling pubmed-78597872021-02-05 Identification of crucial genes mediating abdominal aortic aneurysm pathogenesis based on gene expression profiling of perivascular adipose tissue by WGCNA Chen, Siliang Yang, Dan Liu, Bao Chen, Yuexin Ye, We Chen, Mengyin Zheng, Yuehong Ann Transl Med Original Article BACKGROUND: With a mortality rate of 65–85%, a ruptured abdominal aortic aneurysm (AAA) can have catastrophic consequences for patients. However, few effective pharmaceutical treatments are available to treat this condition. Therefore, elucidating the pathogenesis of AAA and finding the potential molecular targets for medical therapies are vital lines of research. METHODS: An mRNA microarray dataset of perivascular adipose tissue (PVAT) in AAA patients was downloaded and differentially expressed gene (DEG) screening was performed. Weighted gene co-expression networks for dilated and non-dilated PVAT samples were constructed via weighted correlation network analysis (WGCNA) and used to detect gene modules. Functional annotation analysis was performed for the DEGs and gene modules. We identified the hub genes of the modules and created a DEG co-expression network. We then mined crucial genes based on this network using Molecular Complex Detection (MCODE) in Cytoscape. Crucial genes with top-6 degree in the crucial gene cluster were visualized, and their potential clinical significance was determined. RESULTS: Of the 173 DEGs screened, 99 were upregulated and 74 were downregulated. Co-expression networks were built and we detected 6 and 5 modules for dilated and non-dilated PVAT samples, respectively. The turquoise and black modules for dilated PVAT samples were related to inflammation and immune response. MAP4K1 and PROK2 were the hub genes of these 2 modules, respectively. Then a DEG co-expression network with 112 nodes and 953 edges was created. PLAU was the crucial gene with the highest connectivity and showed potential clinical significance. CONCLUSIONS: Using WGCNA, gene modules were detected and hub genes and crucial genes were identified. These crucial genes might be potential targets for pharmaceutic therapies and have potential clinical significance. Future in vitro and in vivo experiments are required to more comprehensively explore the biological mechanisms by which these genes affect AAA pathogenesis AME Publishing Company 2021-01 /pmc/articles/PMC7859787/ /pubmed/33553345 http://dx.doi.org/10.21037/atm-20-3758 Text en 2021 Annals of Translational Medicine. All rights reserved. https://creativecommons.org/licenses/by-nc-nd/4.0/Open Access Statement: This is an Open Access article distributed in accordance with the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International License (CC BY-NC-ND 4.0), which permits the non-commercial replication and distribution of the article with the strict proviso that no changes or edits are made and the original work is properly cited (including links to both the formal publication through the relevant DOI and the license). See: https://creativecommons.org/licenses/by-nc-nd/4.0 (https://creativecommons.org/licenses/by-nc-nd/4.0/) .
spellingShingle Original Article
Chen, Siliang
Yang, Dan
Liu, Bao
Chen, Yuexin
Ye, We
Chen, Mengyin
Zheng, Yuehong
Identification of crucial genes mediating abdominal aortic aneurysm pathogenesis based on gene expression profiling of perivascular adipose tissue by WGCNA
title Identification of crucial genes mediating abdominal aortic aneurysm pathogenesis based on gene expression profiling of perivascular adipose tissue by WGCNA
title_full Identification of crucial genes mediating abdominal aortic aneurysm pathogenesis based on gene expression profiling of perivascular adipose tissue by WGCNA
title_fullStr Identification of crucial genes mediating abdominal aortic aneurysm pathogenesis based on gene expression profiling of perivascular adipose tissue by WGCNA
title_full_unstemmed Identification of crucial genes mediating abdominal aortic aneurysm pathogenesis based on gene expression profiling of perivascular adipose tissue by WGCNA
title_short Identification of crucial genes mediating abdominal aortic aneurysm pathogenesis based on gene expression profiling of perivascular adipose tissue by WGCNA
title_sort identification of crucial genes mediating abdominal aortic aneurysm pathogenesis based on gene expression profiling of perivascular adipose tissue by wgcna
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7859787/
https://www.ncbi.nlm.nih.gov/pubmed/33553345
http://dx.doi.org/10.21037/atm-20-3758
work_keys_str_mv AT chensiliang identificationofcrucialgenesmediatingabdominalaorticaneurysmpathogenesisbasedongeneexpressionprofilingofperivascularadiposetissuebywgcna
AT yangdan identificationofcrucialgenesmediatingabdominalaorticaneurysmpathogenesisbasedongeneexpressionprofilingofperivascularadiposetissuebywgcna
AT liubao identificationofcrucialgenesmediatingabdominalaorticaneurysmpathogenesisbasedongeneexpressionprofilingofperivascularadiposetissuebywgcna
AT chenyuexin identificationofcrucialgenesmediatingabdominalaorticaneurysmpathogenesisbasedongeneexpressionprofilingofperivascularadiposetissuebywgcna
AT yewe identificationofcrucialgenesmediatingabdominalaorticaneurysmpathogenesisbasedongeneexpressionprofilingofperivascularadiposetissuebywgcna
AT chenmengyin identificationofcrucialgenesmediatingabdominalaorticaneurysmpathogenesisbasedongeneexpressionprofilingofperivascularadiposetissuebywgcna
AT zhengyuehong identificationofcrucialgenesmediatingabdominalaorticaneurysmpathogenesisbasedongeneexpressionprofilingofperivascularadiposetissuebywgcna