ArticleInternational journal of general medicine2022
Screening for Regulatory Network of miRNA-Inflammation, Oxidative Stress and Prognosis-Related mRNA in Acute Myocardial Infarction: An in silico and Validation Study.
Article in International journal of general medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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12 citing papers in PubMed, 12 citations in OpenAlex.
- Neuroprotective effects of myrtenol against brain injury following isoproterenol-induced myocardial infarction in male rats.Metabolic brain disease · 2026Article
- M1 macrophage exosomes induce ferroptosis via MiR-582-5p-mediated ZBTB10 suppression in sepsis-induced acute kidney injury.Archives of medical science : AMS · 2026Article
- Necrotizing Enterocolitis: What's New and What's Next?International journal of molecular sciences · 2025Review
- Tumor-Associated Neutrophils Regulate Breast Cancer Progression Through the AQP9/STAT3 Signaling Pathway.Cancer science · 2025Article
- Early diagnosis of acute myocardial infarction via hub genes identified by integrated weighted gene co-expression network analysis.American heart journal plus : cardiology research and practice · 2025Article
- Exploring the complex interplay between oralmSystems · 2025Article
- Profiles and interactions of gut microbiome and intestinal microRNAs in pediatric Crohn's disease.mSystems · 2024Article
- The promotion of sestrin2/AMPK signaling by HIF-1α overexpression enhances the damage caused by acute myocardial infarction.BMC cardiovascular disorders · 2023Article
- Identification of immune-related biomarkers co-occurring in acute ischemic stroke and acute myocardial infarction.Frontiers in neurology · 2023Article
- Identification of Immuno-Inflammation-Related Biomarkers for Acute Myocardial Infarction Based on Bioinformatics.Journal of inflammation research · 2023Article
- Integration of RNA molecules data with prior-knowledge driven Joint Deep Semi-Negative Matrix Factorization for heart failure study.Frontiers in genetics · 2022Article
- Identification of oxidative stress-related genes and potential mechanisms in atherosclerosis.Frontiers in genetics · 2022Article
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Authors and funding
7 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundAcute myocardial infarction (AMI), which commonly leads to heart failure, is among the leading causes of mortality worldwide. The aim of this study was to find potential regulatory network for miRNA-inflammation, oxidative stress and prognosis-related mRNA to uncover molecular mechanisms of AMI.
methodsThe expression profiles of miRNA and mRNA in the blood samples from AMI patients were downloaded from the Gene Expression Omnibus (GEO) dataset for differential expression analysis. Weighted gene co-expression network analysis (WGCNA) was used to further identify important mRNAs. The negatively regulatory network construction of miRNA-inflammation, oxidative stress and prognosis-related mRNAs was performed, followed by protein-protein interaction (PPI) and functional analysis of mRNAs.
resultsA total of three pairs of negatively regulatory network of miRNA-inflammation and prognosis-related mRNAs (hsa-miR-636/hsa-miR-491-3p/hsa-miR-188-5p/hsa-miR-188-3p-AQP9, hsa-miR-518a-3p-C5AR1 and hsa-miR-509-3-5p/hsa-miR-127-5p-PLAUR), two pairs of negatively regulatory network of miRNA-oxidative stress and prognosis-related mRNAs (hsa-miR-604-TLR4 and hsa-miR-139-5p-CXCL1) and three pairs of negatively regulatory network of miRNA-inflammation, oxidative stress and prognosis-related mRNA (hsa-miR-634/hsa-miR-591-TLR2, hsa-miR-938-NFKBIA and hsa-miR-520h/hsa-miR-450b-3p-ADM) were identified. In the KEGG analysis, some signaling pathways were identified, such as complement and coagulation cascades, pathogenic
conclusionIdentified negatively regulatory network of miRNA-inflammation/oxidative stress and prognosis-related mRNA may be involved in the process of AMI. Those inflammation/oxidative stress and prognosis-related mRNAs may be diagnostic and prognostic biomarkers for AMI.
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