ArticleMedicine2020
Bioinformatics analysis of microRNA profiles and identification of microRNA-mRNA network and biological markers in intracranial aneurysm.
Article in Medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
8 citing papers in PubMed, 15 citations in OpenAlex.
- Functional Significance of Cardiac Rehabilitation-Regulated Expression of Circulating MicroRNA-423-5p in Hypertensive Patients with Heart Failure with a Moderately Reduced Ejection Fraction.Anatolian journal of cardiology · 2022Trial
- Epigenetic mechanisms in aneurysm formation, growth, and rupture: A systematic review.Interventional neuroradiology : journal of peritherapeutic neuroradiology, surgical procedures and related neurosciences · 2025Review
- Integrative bioinformatics analysis of miRNA and mRNA expression profiles and identification of associated miRNA-mRNA network in intracranial aneurysms.Non-coding RNA research · 2024Article
- The Role of Epigenetics in Brain Aneurysm and Subarachnoid Hemorrhage: A Comprehensive Review.International journal of molecular sciences · 2024Review
- Screening of immune-related biological markers for aneurysmal subarachnoid hemorrhage based on machine learning approaches.Biochemistry and biophysics reports · 2023Article
- Identification of miRNAs Involved in Intracranial Aneurysm Rupture in Cigarette-Smoking Patients.Neurology and therapy · 2023Article
- Review
- Upregulated anti-angiogenic miR-424-5p in type 1 diabetes (model of subclinical cardiovascular disease) correlates with endothelial progenitor cells, CXCR1/2 and other parameters of vascular health.Stem cell research & therapy · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Intracranial aneurysm (IA) is a kind of cerebrovascular disorder, which may result in the subarachnoid hemorrhage with high lethality and disability. The purpose of this study was to reveal the pathogenesis and identify novel biomarkers in IA.We processed the raw microRNA (miRNA) expression profile data of IA obtained from Gene Expression Omnibus. Then weighted correlation network analysis was performed to identify the hub miRNAs in IA. Target genes of hub miRNAs were predicted using multiR package. In addition, a protein-protein network as well as miRNA-mRNA network was constructed and functional and pathway enrichment analyses were done. Finally, the prediction value of hub miRNAs in IA was tested in validation set.Two modules that had relation with IA were identified and 10 hub miRNAs in each module with higher gene-module association were selected. The protein-protein network and miRNA-mRNA network contained 243 nodes and 1496 edges. Functional and pathway enrichment analyses showed that they were mainly enriched in cell cycle, cell proliferation, and PI3K/Akt signaling pathways. Besides, hsa-miR-191-3p, hsa-miR-423-5p, hsa-miR-424-5p, hsa-miR-425-3p were proven to be valuable in prediction IA occurrence.In a word, this study reveals hub miRNAs, target genes and pathways potentially participating in formation and development of IA and screens out some candidate biomarkers. Our findings provide some new perspectives for research and treatment of IA.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.