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RNA sequencing analysis between ruptured and un-ruptured brain AVM
BACKGROUND: A brain arteriovenous malformation (BAVM) is a tangle of abnormal blood vessels connecting the arteries and veins in the brain and is associated with a higher risk for intracerebral hemorrhage (ICH). RNA sequencing technology has been recently used to investigate the mechanism of disease...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9161579/ https://www.ncbi.nlm.nih.gov/pubmed/35655323 http://dx.doi.org/10.1186/s41016-022-00282-4 |
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author | Li, Hao Yan, Zihan Huo, Ran Ya, Xiaolong Xu, Hongyuan Liu, Zechen Jiao, Yuming Weng, Jiancong Wang, Jie Wang, Shuo Cao, Yong |
author_facet | Li, Hao Yan, Zihan Huo, Ran Ya, Xiaolong Xu, Hongyuan Liu, Zechen Jiao, Yuming Weng, Jiancong Wang, Jie Wang, Shuo Cao, Yong |
author_sort | Li, Hao |
collection | PubMed |
description | BACKGROUND: A brain arteriovenous malformation (BAVM) is a tangle of abnormal blood vessels connecting the arteries and veins in the brain and is associated with a higher risk for intracerebral hemorrhage (ICH). RNA sequencing technology has been recently used to investigate the mechanism of diseases owing to its ability to identify the gene changes on a transcriptome-wide level. This study aims to gain insights into the potential mechanism involved in BAVM rupture. METHODS: Sixty-five BAVM nidus samples were collected, among which 28 were ruptured and 37 were un-ruptured. Then, next-generation RNA sequencing was performed on all of them to obtain differential expressed genes (DEGs) between the two groups. In addition, bioinformatics analysis was performed to evaluate the involved biological processes and pathways by GO and KEGG analysis. Finally, we performed a univariate Cox regression analysis to obtain the early rupture-prone DEGs. RESULTS: A total of 951 genes were differentially expressed between the ruptured and un-ruptured BAVM groups, of which 740 genes were upregulated and 211 genes were downregulated in ruptured BAVMs. Then, bioinformatics analysis showed the biological processes and pathways related to the inflammatory processes and extracellular matrix organization were significantly enriched. Meanwhile, some downregulated genes are involved in cell adhesion and genes participating in response to muscle activity and the terms of nervous system development. Finally, one hundred twenty-five genes, many were involved in inflammation, were correlated with the early rupture of BAVMs. CONCLUSIONS: The upregulated genes in the ruptured BAVM group were involved in inflammatory processes and extracellular matrix organization. Some of the downregulated genes participated in cell adhesion and myofibril assembly, indicating the role of enhanced inflammation and reduced inflammation vessel strength in BAVMs rupture. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s41016-022-00282-4. |
format | Online Article Text |
id | pubmed-9161579 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-91615792022-06-03 RNA sequencing analysis between ruptured and un-ruptured brain AVM Li, Hao Yan, Zihan Huo, Ran Ya, Xiaolong Xu, Hongyuan Liu, Zechen Jiao, Yuming Weng, Jiancong Wang, Jie Wang, Shuo Cao, Yong Chin Neurosurg J Research BACKGROUND: A brain arteriovenous malformation (BAVM) is a tangle of abnormal blood vessels connecting the arteries and veins in the brain and is associated with a higher risk for intracerebral hemorrhage (ICH). RNA sequencing technology has been recently used to investigate the mechanism of diseases owing to its ability to identify the gene changes on a transcriptome-wide level. This study aims to gain insights into the potential mechanism involved in BAVM rupture. METHODS: Sixty-five BAVM nidus samples were collected, among which 28 were ruptured and 37 were un-ruptured. Then, next-generation RNA sequencing was performed on all of them to obtain differential expressed genes (DEGs) between the two groups. In addition, bioinformatics analysis was performed to evaluate the involved biological processes and pathways by GO and KEGG analysis. Finally, we performed a univariate Cox regression analysis to obtain the early rupture-prone DEGs. RESULTS: A total of 951 genes were differentially expressed between the ruptured and un-ruptured BAVM groups, of which 740 genes were upregulated and 211 genes were downregulated in ruptured BAVMs. Then, bioinformatics analysis showed the biological processes and pathways related to the inflammatory processes and extracellular matrix organization were significantly enriched. Meanwhile, some downregulated genes are involved in cell adhesion and genes participating in response to muscle activity and the terms of nervous system development. Finally, one hundred twenty-five genes, many were involved in inflammation, were correlated with the early rupture of BAVMs. CONCLUSIONS: The upregulated genes in the ruptured BAVM group were involved in inflammatory processes and extracellular matrix organization. Some of the downregulated genes participated in cell adhesion and myofibril assembly, indicating the role of enhanced inflammation and reduced inflammation vessel strength in BAVMs rupture. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s41016-022-00282-4. BioMed Central 2022-06-02 /pmc/articles/PMC9161579/ /pubmed/35655323 http://dx.doi.org/10.1186/s41016-022-00282-4 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Li, Hao Yan, Zihan Huo, Ran Ya, Xiaolong Xu, Hongyuan Liu, Zechen Jiao, Yuming Weng, Jiancong Wang, Jie Wang, Shuo Cao, Yong RNA sequencing analysis between ruptured and un-ruptured brain AVM |
title | RNA sequencing analysis between ruptured and un-ruptured brain AVM |
title_full | RNA sequencing analysis between ruptured and un-ruptured brain AVM |
title_fullStr | RNA sequencing analysis between ruptured and un-ruptured brain AVM |
title_full_unstemmed | RNA sequencing analysis between ruptured and un-ruptured brain AVM |
title_short | RNA sequencing analysis between ruptured and un-ruptured brain AVM |
title_sort | rna sequencing analysis between ruptured and un-ruptured brain avm |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9161579/ https://www.ncbi.nlm.nih.gov/pubmed/35655323 http://dx.doi.org/10.1186/s41016-022-00282-4 |
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