2023
DOI: 10.1186/s12864-023-09163-1
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Competing endogenous RNA network analysis of the molecular mechanisms of ischemic stroke

Abstract: 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 … Show more

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Cited by 5 publications
(4 citation statements)
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“…Possessing high stability in human fluids, miRNAs are promising biomarkers for disease diagnosis and prognosis. Additionally, miRNA-based therapeutics hold the potential to revolutionize the treatment of diverse human pathologies (14,36,37). Emerging evidence suggests that miRNA expression is upregulated during stroke and is crucial in regulating the prognosis of stroke patients (21,28).…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…Possessing high stability in human fluids, miRNAs are promising biomarkers for disease diagnosis and prognosis. Additionally, miRNA-based therapeutics hold the potential to revolutionize the treatment of diverse human pathologies (14,36,37). Emerging evidence suggests that miRNA expression is upregulated during stroke and is crucial in regulating the prognosis of stroke patients (21,28).…”
Section: Discussionmentioning
confidence: 99%
“…MicroRNAs (miRNAs) comprise a group of small RNAs that are highly conserved, endogenous, non-coding and widely distributed across eukaryotes. They function primarily in the post-transcriptional regulation of gene expression (14,15). An expanding body of evidence underscores that miRNAs play a crucial role in the pathophysiology of IS.…”
Section: Introductionmentioning
confidence: 99%
“…The package “limma” and “sva” of R software (version 4.2.3) was utilized to preprocess and perform batch effect correction when merging the datasets, and Principal Components Analysis (PCA) plots was constructed to evaluate the effect on correction. 19 …”
Section: Methodsmentioning
confidence: 99%
“… 14 Most studies focusing on single lncRNA lack evidence from other blood components. Although accumulative bioinformatics analyses 15 , 16 and experiments in vitro and in vivo 17 , 18 , 19 , 20 have stressed the importance of using lncRNA‐related networks as biomarkers, there is still a lack of internal and external validation and model improvement reports in human studies.…”
mentioning
confidence: 99%