Cargando…

Competing endogenous RNA network analysis of the molecular mechanisms of ischemic stroke

BACKGROUND: Ischemic stroke (IS) is a serious neurological disease that largely results in long-term disability and death. Extensive evidence has indicated that the activation of inflammation and ferroptosis significantly contribute to the development of IS pathology. However, the underlying molecul...

Descripción completa

Detalles Bibliográficos
Autores principales: Chen, Jian-Min, Li, Xiao-Lu, Yang Ye, Xu, Sen-Ming, Chen, Qing-Fa, Xu, Jian-Wen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9906963/
https://www.ncbi.nlm.nih.gov/pubmed/36755220
http://dx.doi.org/10.1186/s12864-023-09163-1
_version_ 1784884077522845696
author Chen, Jian-Min
Li, Xiao-Lu
Yang Ye
Xu, Sen-Ming
Chen, Qing-Fa
Xu, Jian-Wen
author_facet Chen, Jian-Min
Li, Xiao-Lu
Yang Ye
Xu, Sen-Ming
Chen, Qing-Fa
Xu, Jian-Wen
author_sort Chen, Jian-Min
collection PubMed
description BACKGROUND: Ischemic stroke (IS) is a serious neurological disease that largely results in long-term disability and death. Extensive evidence has indicated that the activation of inflammation and ferroptosis significantly contribute to the development of IS pathology. However, the underlying molecular mechanism remains unclear. In this study, we aimed to identify potential biomarkers associated with IS through the construction of a competing endogenous RNA (ceRNA) network and to investigate the possible inflammatory and ferroptosis-related molecular mechanisms. RESULTS: We identified 178 differentially expressed target messenger RNAs (DETmRNAs) associated with IS. As revealed through enrichment analysis, the DEmRNAs were mainly enriched in the inflammatory signaling pathways and also related to ferroptosis mechanism. The CIBERSORT algorithm showed immune infiltration landscapes in which the naïve B cells, naïve T cells, and monocytes had statistically different numbers in the cerebral infarction group compared with the control group. A ceRNA network was constructed in this study involving 44 long non-coding RNAs (lncRNAs), 15 microRNAs (miRNAs), and 160 messenger RNAs (mRNAs). We used the receiver operating characteristic (ROC) analysis to identify three miRNAs (miR-103a-3p, miR-140-3p, and miR-17-5p), one mRNA (TLR4), and one lncRNA (NEAT1) as the potential key biomarkers of the ceRNA network. The key mRNA and lncRNA were shown to be highly related to the ferroptosis mechanism of IS. The expression of these key biomarkers was also further validated by a method of quantitative real-time polymerase chain reaction in SH-SY5Y cells, and the validated results were consistent with the findings predicted by bioinformatics. CONCLUSION: Our results suggest that the ceRNA network may exert an important role in the inflammatory and ferroptosis molecular mechanisms of IS, providing new insight into therapeutic IS targets. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12864-023-09163-1.
format Online
Article
Text
id pubmed-9906963
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-99069632023-02-08 Competing endogenous RNA network analysis of the molecular mechanisms of ischemic stroke Chen, Jian-Min Li, Xiao-Lu Yang Ye Xu, Sen-Ming Chen, Qing-Fa Xu, Jian-Wen BMC Genomics Research BACKGROUND: Ischemic stroke (IS) is a serious neurological disease that largely results in long-term disability and death. Extensive evidence has indicated that the activation of inflammation and ferroptosis significantly contribute to the development of IS pathology. However, the underlying molecular mechanism remains unclear. In this study, we aimed to identify potential biomarkers associated with IS through the construction of a competing endogenous RNA (ceRNA) network and to investigate the possible inflammatory and ferroptosis-related molecular mechanisms. RESULTS: We identified 178 differentially expressed target messenger RNAs (DETmRNAs) associated with IS. As revealed through enrichment analysis, the DEmRNAs were mainly enriched in the inflammatory signaling pathways and also related to ferroptosis mechanism. The CIBERSORT algorithm showed immune infiltration landscapes in which the naïve B cells, naïve T cells, and monocytes had statistically different numbers in the cerebral infarction group compared with the control group. A ceRNA network was constructed in this study involving 44 long non-coding RNAs (lncRNAs), 15 microRNAs (miRNAs), and 160 messenger RNAs (mRNAs). We used the receiver operating characteristic (ROC) analysis to identify three miRNAs (miR-103a-3p, miR-140-3p, and miR-17-5p), one mRNA (TLR4), and one lncRNA (NEAT1) as the potential key biomarkers of the ceRNA network. The key mRNA and lncRNA were shown to be highly related to the ferroptosis mechanism of IS. The expression of these key biomarkers was also further validated by a method of quantitative real-time polymerase chain reaction in SH-SY5Y cells, and the validated results were consistent with the findings predicted by bioinformatics. CONCLUSION: Our results suggest that the ceRNA network may exert an important role in the inflammatory and ferroptosis molecular mechanisms of IS, providing new insight into therapeutic IS targets. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12864-023-09163-1. BioMed Central 2023-02-08 /pmc/articles/PMC9906963/ /pubmed/36755220 http://dx.doi.org/10.1186/s12864-023-09163-1 Text en © The Author(s) 2023 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
Chen, Jian-Min
Li, Xiao-Lu
Yang Ye
Xu, Sen-Ming
Chen, Qing-Fa
Xu, Jian-Wen
Competing endogenous RNA network analysis of the molecular mechanisms of ischemic stroke
title Competing endogenous RNA network analysis of the molecular mechanisms of ischemic stroke
title_full Competing endogenous RNA network analysis of the molecular mechanisms of ischemic stroke
title_fullStr Competing endogenous RNA network analysis of the molecular mechanisms of ischemic stroke
title_full_unstemmed Competing endogenous RNA network analysis of the molecular mechanisms of ischemic stroke
title_short Competing endogenous RNA network analysis of the molecular mechanisms of ischemic stroke
title_sort competing endogenous rna network analysis of the molecular mechanisms of ischemic stroke
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9906963/
https://www.ncbi.nlm.nih.gov/pubmed/36755220
http://dx.doi.org/10.1186/s12864-023-09163-1
work_keys_str_mv AT chenjianmin competingendogenousrnanetworkanalysisofthemolecularmechanismsofischemicstroke
AT lixiaolu competingendogenousrnanetworkanalysisofthemolecularmechanismsofischemicstroke
AT yangye competingendogenousrnanetworkanalysisofthemolecularmechanismsofischemicstroke
AT xusenming competingendogenousrnanetworkanalysisofthemolecularmechanismsofischemicstroke
AT chenqingfa competingendogenousrnanetworkanalysisofthemolecularmechanismsofischemicstroke
AT xujianwen competingendogenousrnanetworkanalysisofthemolecularmechanismsofischemicstroke