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Association of MicroRNAs With Risk of Stroke: A Meta-Analysis
OBJECTIVES: Altered expression of microRNAs (miRNAs) may contribute to disease vulnerability. Studies have reported the involvement of miRNA in the pathophysiology of ischemic stroke. METHODS: We performed a meta-analysis of data from 6 studies that used a panel of miRNAs with altered expressions to...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9160310/ https://www.ncbi.nlm.nih.gov/pubmed/35665049 http://dx.doi.org/10.3389/fneur.2022.865265 |
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author | Deng, Yidong Huang, Peijian Zhang, Fan Chen, Tao |
author_facet | Deng, Yidong Huang, Peijian Zhang, Fan Chen, Tao |
author_sort | Deng, Yidong |
collection | PubMed |
description | OBJECTIVES: Altered expression of microRNAs (miRNAs) may contribute to disease vulnerability. Studies have reported the involvement of miRNA in the pathophysiology of ischemic stroke. METHODS: We performed a meta-analysis of data from 6 studies that used a panel of miRNAs with altered expressions to diagnose ischemic stroke with the Bayesian framework. The I(2) test and Cochran's Q-statistic were used to assess heterogeneity. Funnel plots were generated and publication bias was assessed using Begg and Egger tests. RESULTS: On summary receiver operating characteristics (SROC) curve analysis, the pooled sensitivity and specificity of altered miRNA expressions for diagnosis of ischemic stroke was 0.92 (95% confidence interval [CI] 0.80–0.97) and 0.83 (95% CI 0.71–0.90), respectively; the diagnostic odds ratio was 54.35 (95% CI 20.39–144.92), and the area under the SROC curve was 0.93 (95% CI 0.90–0.95). CONCLUSIONS: Our results showed a link between dysregulation of miRNAs and the occurrence of ischemic stroke. Abnormal miRNA expression may be a potential biomarker for ischemic stroke. |
format | Online Article Text |
id | pubmed-9160310 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-91603102022-06-03 Association of MicroRNAs With Risk of Stroke: A Meta-Analysis Deng, Yidong Huang, Peijian Zhang, Fan Chen, Tao Front Neurol Neurology OBJECTIVES: Altered expression of microRNAs (miRNAs) may contribute to disease vulnerability. Studies have reported the involvement of miRNA in the pathophysiology of ischemic stroke. METHODS: We performed a meta-analysis of data from 6 studies that used a panel of miRNAs with altered expressions to diagnose ischemic stroke with the Bayesian framework. The I(2) test and Cochran's Q-statistic were used to assess heterogeneity. Funnel plots were generated and publication bias was assessed using Begg and Egger tests. RESULTS: On summary receiver operating characteristics (SROC) curve analysis, the pooled sensitivity and specificity of altered miRNA expressions for diagnosis of ischemic stroke was 0.92 (95% confidence interval [CI] 0.80–0.97) and 0.83 (95% CI 0.71–0.90), respectively; the diagnostic odds ratio was 54.35 (95% CI 20.39–144.92), and the area under the SROC curve was 0.93 (95% CI 0.90–0.95). CONCLUSIONS: Our results showed a link between dysregulation of miRNAs and the occurrence of ischemic stroke. Abnormal miRNA expression may be a potential biomarker for ischemic stroke. Frontiers Media S.A. 2022-05-19 /pmc/articles/PMC9160310/ /pubmed/35665049 http://dx.doi.org/10.3389/fneur.2022.865265 Text en Copyright © 2022 Deng, Huang, Zhang and Chen. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Neurology Deng, Yidong Huang, Peijian Zhang, Fan Chen, Tao Association of MicroRNAs With Risk of Stroke: A Meta-Analysis |
title | Association of MicroRNAs With Risk of Stroke: A Meta-Analysis |
title_full | Association of MicroRNAs With Risk of Stroke: A Meta-Analysis |
title_fullStr | Association of MicroRNAs With Risk of Stroke: A Meta-Analysis |
title_full_unstemmed | Association of MicroRNAs With Risk of Stroke: A Meta-Analysis |
title_short | Association of MicroRNAs With Risk of Stroke: A Meta-Analysis |
title_sort | association of micrornas with risk of stroke: a meta-analysis |
topic | Neurology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9160310/ https://www.ncbi.nlm.nih.gov/pubmed/35665049 http://dx.doi.org/10.3389/fneur.2022.865265 |
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