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pmid:38682035

Analysis of the expression level and predictive value of CLEC16A|miR-654-5p|RARA regulatory axis in the peripheral blood of patients with ischemic stroke based on biosignature analysis.

Jiang-Jie Hao · Yuan Liu · Jun-Hua Lu · Ying Zhao · Ying Lin · Li-Qiu Ma · Ping Xue · Bao-Yun Jin · Bei-Bei Li · Zheng Zhou · Xin-Xin Huang · Ting Liu · Meng-Yue Li · Jin-Ying Lai · Hong-Jun Guan

Frontiers in neurology · 2024 doi:10.3389/fneur.2024.1353275

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Experiment

complete

Data

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Analysis

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title
Analysis of the expression level and predictive value of CLEC16A|miR-654-5p|RARA regulatory axis in the peripheral blood of patients with ischemic stroke based on biosignature analysis.
doi
10.3389/fneur.2024.1353275
pmid
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[0]
Jiang-Jie Hao
[1]
Yuan Liu
[2]
Jun-Hua Lu
[3]
Ying Zhao
[4]
Ying Lin
[5]
Li-Qiu Ma
[6]
Ping Xue
[7]
Bao-Yun Jin
[8]
Bei-Bei Li
[9]
Zheng Zhou
[10]
Xin-Xin Huang
[11]
Ting Liu
[12]
Meng-Yue Li
[13]
Jin-Ying Lai
[14]
Hong-Jun Guan
journal
Frontiers in neurology
year
2024
abstract
Introduction: Ischemic stroke (IS) is a cerebrovascular disease that can be disabling and fatal, and there are limitations in the clinical treatment and prognosis of IS. It has been reported that changes in the expression profile of circRNAs have been found during injury in ischemic stroke, and circRNAs play an important role in the IS cascade response. However, the specific mechanisms involved in the pathogenesis of IS are not yet fully understood, and thus in-depth studies are needed. Methods: In this study, one circRNA dataset (GSE161913), one miRNA dataset (GSE60319) and one mRNA dataset (GSE180470) were retrieved from the Gene Expression Omnibus (GEO) database and included, and the datasets were differentially expressed analyzed by GEO2R and easyGEO to get the DEcircRNA, DEmiRNA and DEmRNA, and DEmRNA was enriched using ImageGP, binding sites were predicted in the ENCORI database, respectively, and the competitive endogenous RNA (ceRNA) regulatory network was visualized by the cytoscape software, and then selected by MCC scoring in the cytoHubba plugin Hub genes. In addition, this study conducted a case-control study in which blood samples were collected from stroke patients and healthy medical examiners to validate the core network of ceRNAs constructed by biosignature analysis by real-time fluorescence quantitative qRT-PCR experiments. Results: A total of 233 DEcircRNAs, 132 DEmiRNAs and 72 DEmRNAs were screened by bioinformatics analysis. circRNA-mediated ceRNA regulatory network was constructed, including 148 circRNAs, 43 miRNAs and 44 mRNAs. Finally, CLEC16A|miR-654-5p|RARA competitive endogenous regulatory axis was selected for validation by qRT-PCR, and the validation results were consistent with the bioinformatics analysis. Discussion: In conclusion, the present study establishes a new axis of regulation associated with IS, providing new insights into the pathogenesis of IS.
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It has been reported that changes in the expression profile of circRNAs have been found during injury in ischemic stroke, and circRNAs play an important role in the IS cascade response. However, the specific mechanisms involved in the pathogenesis of IS are not yet fully understood, and thus in-depth studies are needed.\nMethods: In this study, one circRNA dataset (GSE161913), one miRNA dataset (GSE60319) and one mRNA dataset (GSE180470) were retrieved from the Gene Expression Omnibus (GEO) database and included, and the datasets were differentially expressed analyzed by GEO2R and easyGEO to get the DEcircRNA, DEmiRNA and DEmRNA, and DEmRNA was enriched using ImageGP, binding sites were predicted in the ENCORI database, respectively, and the competitive endogenous RNA (ceRNA) regulatory network was visualized by the cytoscape software, and then selected by MCC scoring in the cytoHubba plugin Hub genes. In addition, this study conducted a case-control study in which blood samples were collected from stroke patients and healthy medical examiners to validate the core network of ceRNAs constructed by biosignature analysis by real-time fluorescence quantitative qRT-PCR experiments.\nResults: A total of 233 DEcircRNAs, 132 DEmiRNAs and 72 DEmRNAs were screened by bioinformatics analysis. circRNA-mediated ceRNA regulatory network was constructed, including 148 circRNAs, 43 miRNAs and 44 mRNAs. Finally, CLEC16A|miR-654-5p|RARA competitive endogenous regulatory axis was selected for validation by qRT-PCR, and the validation results were consistent with the bioinformatics analysis.\nDiscussion: In conclusion, the present study establishes a new axis of regulation associated with IS, providing new insights into the pathogenesis of IS.", "claims": [{"id": "claim-method", "statement": "The three RNAs were evaluated for their ability to act as predictors of IS by identifying the pcr-validated stroke-related regulatory axes through univariate and multivariate logistic regression modeling.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:38682035", "locator": "sections[11] \"Diagnostic performance assessment\" paragraph 2", "quote": "The three RNAs were evaluated for their ability to act as predictors of IS by identifying the pcr-validated stroke-related regulatory axes through univariate and multivariate logistic regression modeling."}], "state": "complete"}, {"id": "claim-data-access", "statement": "The datasets presented in this study can be found in online repositories. 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