Screening and Analysis of Potential Critical Gene in Acute Myocardial Infarction Based on a miRNA-mRNA Regulatory Network.

{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:35300139", "kind": "science-record", "revision": 5, "content_hash": "sha256:5861427d8fe5068e0d5fd3972a1b7e0faffcbeaae1de612950b1ef4ddecbcc95", "created_at": "2026-11-01T18:14:05Z", "updated_at": "2026-11-01T22:48:41Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Screening and Analysis of Potential Critical Gene in Acute Myocardial Infarction Based on a miRNA-mRNA Regulatory Network.", "doi": "10.2147/IJGM.S354641", "pmid": "35300139", "authors": ["Ruirui Hou", "Dong Guo", "Maoxia Fan", "Yawei Hou", "Jisen Zhao", "Xiaoqi Wu"], "journal": "International journal of general medicine", "year": 2022, "abstract": "Background: MicroRNAs (miRNAs) have been shown to be involved in the initiation, progression, and prevention of acute myocardial infarction (AMI), but the underlying mechanism remains unclear.\nObjective: Through the GEO database, bioinformatics methods were used to explore the miRNA-mRNA regulatory relationship pairs associated with AMI and to elucidate the underlying mechanism.\nMethods: Using the R software Limma package, differential expression analysis was performed using the AMI-related miRNA chip dataset (GSE31568) and mRNA chip dataset (GSE159657) from the GEO database. The miRDB, miRWalk, miRTarBase, and TargetScan databases were used to predict potential downstream target genes regulated by differentially expressed miRNAs, and a miRNA-mRNA regulatory network was built with Cytoscape; GO function and KEGG pathway enrichment analyses of target genes were done with Funrich software, and the protein interaction network of target genes in the regulatory network was built with the STRING database.\nResults and Conclusions: A total of 187 differentially expressed miRNAs were experimentally screened, of which 91 were upregulated (such as hsa-miR-302b, hsa-miR-1299), and 96 were downregulated (such as hsa-miR-1201, hsa-miR-1283); 507 differentially expressed mRNAs were identified, of which 430 were upregulated (such as MRM1 and SFXN4), and 77 were downregulated (such as KCTD13 and CCDC134). And 16 miRNAs and 44 mRNAs were used for regulatory network construction. GO and KEGG enrichment analyses mainly focused on Integrins in angiogenesis, angiopoietin receptor Tie2-mediated signaling, and signaling events mediated by stem cell factor receptor (c-Kit). As hub genes in the PPI network, FGF2 and MMP2 may be key targets of AMI. The experimentally constructed miRNA-mRNA regulatory network found that hsa-miR-190b targets to inhibit FGF2, while hsa-miR-330-3p targets to regulate MMP2, which may mediate Integrins in angiogenesis, Angiopoietin receptor Tie2-mediated signaling pathway to induce AMI pathogenesis, providing strong data support and a research direction for the prevention and treatment of AMI.", "claims": [{"id": "claim-method", "statement": "The GSE31568 dataset was analyzed using the GEO2R function in the GEO database for differential expression using the Limma package in R software with the filtering criteria set at adj.p.Val<0.01, |log2-fold change (FC)| >1.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:35300139", "locator": "sections[5] \"Data Processing and Differential Expression Analysis\" paragraph 2", "quote": "The GSE31568 dataset was analyzed using the GEO2R function in the GEO database for differential expression using the Limma package in R software with the filtering criteria set at adj.p.Val<0.01, |log2-fold change (FC)| >1."}], "state": "complete"}, {"id": "claim-data-access", "statement": "The qualified miRNA expression chip dataset GSE31658 and mRNA expression high-throughput dataset GSE159657 were downloaded. The GSE31658 dataset is based on the GPL9040 platform (Febit Homo Sapiens miRBase 13.0) and contains 454 samples. Twenty whole blood samples from patients with acute myocardial infarction (AMI) and 20 whole blood samples from healthy controls (controls) were selected. All data are freely available for download in a variety of formats.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:35300139", "locator": "sections[3] \"Data Source\" paragraph 2", "quote": "The qualified miRNA expression chip dataset GSE31658 and mRNA expression high-throughput dataset GSE159657 were downloaded."}, {"asset": "source:pmid:35300139", "locator": "sections[3] \"Data Source\" paragraph 2", "quote": "The GSE31658 dataset is based on the GPL9040 platform (Febit Homo Sapiens miRBase 13.0) and contains 454 samples."}, {"asset": "source:pmid:35300139", "locator": "sections[3] \"Data Source\" paragraph 2", "quote": "Twenty whole blood samples from patients with acute myocardial infarction (AMI) and 20 whole blood samples from healthy controls (controls) were selected."}, {"asset": "source:pmid:35300139", "locator": "sections[1] \"Introduction\" paragraph 4", "quote": "All data are freely available for download in a variety of formats."}], "state": "complete"}, {"id": "claim-target-result", "statement": "The study identified 187 differentially expressed miRNAs and 507 differentially expressed mRNAs, then constructed 44 miRNA-mRNA regulatory relationship pairs involving 16 miRNAs and 44 mRNAs.", "kind": "qualitative", "target": null, "evidence": [{"asset": "source:pmid:35300139", "locator": "sections[0] \"Abstract\" paragraph 4", "quote": "A total of 187 differentially expressed miRNAs were experimentally screened, of which 91 were upregulated (such as hsa-miR-302b, hsa-miR-1299), and 96 were downregulated (such as hsa-miR-1201, hsa-miR-1283); 507 differentially expressed mRNAs were identified, of which 430 were upregulated (such as MRM1 and SFXN4), and 77 were downregulated (such as KCTD13 and CCDC134). And 16 miRNAs and 44 mRNAs were used for regulatory network construction."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "complete", "objective": "The study identified 187 differentially expressed miRNAs and 507 differentially expressed mRNAs, then constructed 44 miRNA-mRNA regulatory relationship pairs involving 16 miRNAs and 44 mRNAs.", "steps": [{"id": "read_published_estimate", "order": 1, "name": "Read the published estimate from the source", "kind": "other", "state": "complete", "blocked_on": null, "description": "The claim, method and evidence span published with the source article.", "duration_hours": null, "parameters": {}, "inputs": ["source:pmid:35300139"], "outputs": ["the published estimate and its evidence"], "instruments": [], "reagents": []}, {"id": "obtain_source_data", "order": 2, "name": "Obtain the source data from the named repository", "kind": "data-preparation", "state": "complete", "blocked_on": null, "description": "The GEO series accession resolves and its sample accessions are listed. 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