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Integrative identification of hub genes in development of atrial fibrillation related stroke
BACKGROUND: As the most common arrhythmia, atrial fibrillation (AF) is associated with a significantly increased risk of stroke, which causes high disability and mortality. To date, the underlying mechanism of stroke occurring after AF remains unclear. Herein, we studied hub genes and regulatory pat...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10035830/ https://www.ncbi.nlm.nih.gov/pubmed/36952494 http://dx.doi.org/10.1371/journal.pone.0283617 |
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author | Huang, Kai Fan, Xi Jiang, Yuwen Jin, Sheng Huang, Jiechun Pang, Liewen Wang, Yiqing Wu, Yuming Sun, Xiaotian |
author_facet | Huang, Kai Fan, Xi Jiang, Yuwen Jin, Sheng Huang, Jiechun Pang, Liewen Wang, Yiqing Wu, Yuming Sun, Xiaotian |
author_sort | Huang, Kai |
collection | PubMed |
description | BACKGROUND: As the most common arrhythmia, atrial fibrillation (AF) is associated with a significantly increased risk of stroke, which causes high disability and mortality. To date, the underlying mechanism of stroke occurring after AF remains unclear. Herein, we studied hub genes and regulatory pathways involved in AF and secondary stroke and aimed to reveal biomarkers and therapeutic targets of AF-related stroke. METHODS: The GSE79768 and GSE58294 datasets were used to analyze AF- and stroke-related differentially expressed genes (DEGs) to obtain a DEG1 dataset. Weighted correlation network analysis (WGCNA) was used to identify modules associated with AF-related stroke in GSE66724 (DEG2). DEG1 and DEG2 were merged, and hub genes were identified based on protein–protein interaction networks. Gene Ontology terms were used to analyze the enriched pathways. The GSE129409 and GSE70887 were applied to construct a circRNA-miRNA-mRNA network in AF-related stroke. Hub genes were verified in patients using quantitative real-time polymerase chain reaction (qRT-PCR). RESULTS: We identified 3,132 DEGs in blood samples and 253 DEGs in left atrial specimens. Co-expressed hub genes of EIF4E3, ZNF595, ZNF700, MATR3, ACKR4, ANXA3, SEPSECS-AS1, and RNF166 were significantly associated with AF-related stroke. The hsa_circ_0018657/hsa-miR-198/EIF4E3 pathway was explored as the regulating axis in AF-related stroke. The qRT-PCR results were consistent with the bioinformatic analysis. CONCLUSIONS: Hub genes EIF4E3, ZNF595, ZNF700, MATR3, ACKR4, ANXA3, SEPSECS-AS1, and RNF166 have potential as novel biomarkers and therapeutic targets in AF-related stroke. The hsa_circ_0018657/hsa-miR-198/EIF4E3 axis could play an important role regulating the development of AF-related stroke. |
format | Online Article Text |
id | pubmed-10035830 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-100358302023-03-24 Integrative identification of hub genes in development of atrial fibrillation related stroke Huang, Kai Fan, Xi Jiang, Yuwen Jin, Sheng Huang, Jiechun Pang, Liewen Wang, Yiqing Wu, Yuming Sun, Xiaotian PLoS One Research Article BACKGROUND: As the most common arrhythmia, atrial fibrillation (AF) is associated with a significantly increased risk of stroke, which causes high disability and mortality. To date, the underlying mechanism of stroke occurring after AF remains unclear. Herein, we studied hub genes and regulatory pathways involved in AF and secondary stroke and aimed to reveal biomarkers and therapeutic targets of AF-related stroke. METHODS: The GSE79768 and GSE58294 datasets were used to analyze AF- and stroke-related differentially expressed genes (DEGs) to obtain a DEG1 dataset. Weighted correlation network analysis (WGCNA) was used to identify modules associated with AF-related stroke in GSE66724 (DEG2). DEG1 and DEG2 were merged, and hub genes were identified based on protein–protein interaction networks. Gene Ontology terms were used to analyze the enriched pathways. The GSE129409 and GSE70887 were applied to construct a circRNA-miRNA-mRNA network in AF-related stroke. Hub genes were verified in patients using quantitative real-time polymerase chain reaction (qRT-PCR). RESULTS: We identified 3,132 DEGs in blood samples and 253 DEGs in left atrial specimens. Co-expressed hub genes of EIF4E3, ZNF595, ZNF700, MATR3, ACKR4, ANXA3, SEPSECS-AS1, and RNF166 were significantly associated with AF-related stroke. The hsa_circ_0018657/hsa-miR-198/EIF4E3 pathway was explored as the regulating axis in AF-related stroke. The qRT-PCR results were consistent with the bioinformatic analysis. CONCLUSIONS: Hub genes EIF4E3, ZNF595, ZNF700, MATR3, ACKR4, ANXA3, SEPSECS-AS1, and RNF166 have potential as novel biomarkers and therapeutic targets in AF-related stroke. The hsa_circ_0018657/hsa-miR-198/EIF4E3 axis could play an important role regulating the development of AF-related stroke. Public Library of Science 2023-03-23 /pmc/articles/PMC10035830/ /pubmed/36952494 http://dx.doi.org/10.1371/journal.pone.0283617 Text en © 2023 Huang et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Huang, Kai Fan, Xi Jiang, Yuwen Jin, Sheng Huang, Jiechun Pang, Liewen Wang, Yiqing Wu, Yuming Sun, Xiaotian Integrative identification of hub genes in development of atrial fibrillation related stroke |
title | Integrative identification of hub genes in development of atrial fibrillation related stroke |
title_full | Integrative identification of hub genes in development of atrial fibrillation related stroke |
title_fullStr | Integrative identification of hub genes in development of atrial fibrillation related stroke |
title_full_unstemmed | Integrative identification of hub genes in development of atrial fibrillation related stroke |
title_short | Integrative identification of hub genes in development of atrial fibrillation related stroke |
title_sort | integrative identification of hub genes in development of atrial fibrillation related stroke |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10035830/ https://www.ncbi.nlm.nih.gov/pubmed/36952494 http://dx.doi.org/10.1371/journal.pone.0283617 |
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