Identification of potential key pathways, genes and circulating markers in the development of intracranial aneurysm based on weighted gene co-expression network analysis
Background Intracranial aneurysm (IA) is a disease resulted from weak brain control, characterized by local expansion or dilation of brain artery. This study aimed to construct a gene co-expression network by Weighted Gene Correlation Network Analysis (WGCNA) to explore the potential key pathways an...
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Taylor & Francis Group
2020-01-01
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| Series: | Artificial Cells, Nanomedicine, and Biotechnology |
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| Online Access: | https://www.tandfonline.com/doi/10.1080/21691401.2020.1770264 |
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| author | Guojia Du Dangmurenjiafu Geng Kai Zhou Yandong Fan Riqing Su Qingjiu Zhou Bo Liu Serick Duysenbi |
| author_facet | Guojia Du Dangmurenjiafu Geng Kai Zhou Yandong Fan Riqing Su Qingjiu Zhou Bo Liu Serick Duysenbi |
| author_sort | Guojia Du |
| collection | DOAJ |
| description | Background Intracranial aneurysm (IA) is a disease resulted from weak brain control, characterized by local expansion or dilation of brain artery. This study aimed to construct a gene co-expression network by Weighted Gene Correlation Network Analysis (WGCNA) to explore the potential key pathways and genes for the development of IA.Method Six IA-related gene expression data sets were downloaded from the Gene Expression Omnibus (GEO) database for identifying differentially expressed genes (DEGs). WGCNA was used to identify modules associated with IA. Functional enrichment analysis was used to explore the potential biological functions. ROC analysis was used to find markers for predicting IA.Results Purple, greenyellow and yellow modules were significantly associated with unruptured intracranial aneurysms, while blue and turquoise modules were significantly associated with ruptured intracranial aneurysms. Functional modules significantly related to IA were enriched in Ribosome, Glutathione metabolism, cAMP signalling pathway, Lysosome, Glycosaminoglycan degradation and other pathways. CD163, FCEREG, FPR1, ITGAM, NLRC4, PDG, and TYROBP were up-regulated ruptured intracranial aneurysms and serum, these genes were potential circulating markers for predicting IA rupture.Conclusions Potential IA-related key pathways, genes and circulating markers were identified for predicting IA rupture by WGCNA analysis. |
| format | Article |
| id | doaj-art-cfe71cb205ee40e2a41a2cc3017c9d9c |
| institution | Kabale University |
| issn | 2169-1401 2169-141X |
| language | English |
| publishDate | 2020-01-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | Artificial Cells, Nanomedicine, and Biotechnology |
| spelling | doaj-art-cfe71cb205ee40e2a41a2cc3017c9d9c2025-08-20T03:41:47ZengTaylor & Francis GroupArtificial Cells, Nanomedicine, and Biotechnology2169-14012169-141X2020-01-01481999100710.1080/21691401.2020.1770264Identification of potential key pathways, genes and circulating markers in the development of intracranial aneurysm based on weighted gene co-expression network analysisGuojia Du0Dangmurenjiafu Geng1Kai Zhou2Yandong Fan3Riqing Su4Qingjiu Zhou5Bo Liu6Serick Duysenbi7Department of Neurosurgery, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, ChinaDepartment of Neurosurgery, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, ChinaDepartment of Neurosurgery, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, ChinaDepartment of Neurosurgery, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, ChinaDepartment of Neurosurgery, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, ChinaDepartment of Neurosurgery, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, ChinaDepartment of Neurosurgery, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, ChinaDepartment of Neurosurgery, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, ChinaBackground Intracranial aneurysm (IA) is a disease resulted from weak brain control, characterized by local expansion or dilation of brain artery. This study aimed to construct a gene co-expression network by Weighted Gene Correlation Network Analysis (WGCNA) to explore the potential key pathways and genes for the development of IA.Method Six IA-related gene expression data sets were downloaded from the Gene Expression Omnibus (GEO) database for identifying differentially expressed genes (DEGs). WGCNA was used to identify modules associated with IA. Functional enrichment analysis was used to explore the potential biological functions. ROC analysis was used to find markers for predicting IA.Results Purple, greenyellow and yellow modules were significantly associated with unruptured intracranial aneurysms, while blue and turquoise modules were significantly associated with ruptured intracranial aneurysms. Functional modules significantly related to IA were enriched in Ribosome, Glutathione metabolism, cAMP signalling pathway, Lysosome, Glycosaminoglycan degradation and other pathways. CD163, FCEREG, FPR1, ITGAM, NLRC4, PDG, and TYROBP were up-regulated ruptured intracranial aneurysms and serum, these genes were potential circulating markers for predicting IA rupture.Conclusions Potential IA-related key pathways, genes and circulating markers were identified for predicting IA rupture by WGCNA analysis.https://www.tandfonline.com/doi/10.1080/21691401.2020.1770264Intracranial aneurysmkey pathwayshub genescirculating markersruptured intracranial aneurysmunruptured intracranial aneurysm |
| spellingShingle | Guojia Du Dangmurenjiafu Geng Kai Zhou Yandong Fan Riqing Su Qingjiu Zhou Bo Liu Serick Duysenbi Identification of potential key pathways, genes and circulating markers in the development of intracranial aneurysm based on weighted gene co-expression network analysis Artificial Cells, Nanomedicine, and Biotechnology Intracranial aneurysm key pathways hub genes circulating markers ruptured intracranial aneurysm unruptured intracranial aneurysm |
| title | Identification of potential key pathways, genes and circulating markers in the development of intracranial aneurysm based on weighted gene co-expression network analysis |
| title_full | Identification of potential key pathways, genes and circulating markers in the development of intracranial aneurysm based on weighted gene co-expression network analysis |
| title_fullStr | Identification of potential key pathways, genes and circulating markers in the development of intracranial aneurysm based on weighted gene co-expression network analysis |
| title_full_unstemmed | Identification of potential key pathways, genes and circulating markers in the development of intracranial aneurysm based on weighted gene co-expression network analysis |
| title_short | Identification of potential key pathways, genes and circulating markers in the development of intracranial aneurysm based on weighted gene co-expression network analysis |
| title_sort | identification of potential key pathways genes and circulating markers in the development of intracranial aneurysm based on weighted gene co expression network analysis |
| topic | Intracranial aneurysm key pathways hub genes circulating markers ruptured intracranial aneurysm unruptured intracranial aneurysm |
| url | https://www.tandfonline.com/doi/10.1080/21691401.2020.1770264 |
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