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pmid:31497041
Gestational Diabetes Mellitus Regulatory Network Identifies hsa-miR-145-5p and hsa-miR-875-5p as Potential Biomarkers.
Mona Zamanian Azodi · Mostafa Rezaei-Tavirani · Majid Rezaei-Tavirani · Reza Mahmoud Robati
International journal of endocrinology and metabolism · 2019 doi:10.5812/ijem.86640
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Experiment
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Complete file
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Molecular studies represent one of the popular approaches for investigating mechanisms associated with the disease nature. One of which is through interaction network analysis via Cytoscape V. 3.6.1.\nMETHODS: In this study, the microRNA (miRNA) expression array of GSE98043 from gene expression omnibus (GEO) database was retrieved and screened. We identified 12 differentially expressed (DE) miRNAs (P ≤ 0.05) and nine target hub-bottleneck genes (disease score > 1) for GDM based on miRNA-target interactions created via plugin ClueGO + Cluepedia + STRING.\nRESULTS: MiRNA-target information showed that the miRNAs are mostly up-regulated and hsa-miR-145-5p and hsa-miR-875-5p targets the most genes. Among target genes, IL6, GCG, APOB, and ALB have the highest associations with DE-miRNAs. Gene ontology analysis based on biological processes identification via ClueGO + CluePedia, in addition, showed that target hub-bottlenecks are mainly related to metabolism functions and any changes in this regulatory network could impose fundamental alterations in these processes.\nCONCLUSIONS: It can be concluded that via these introduced miRNAs and their targets, the molecular tests for diagnosis and treatment of GDM can be improved after applying validation approaches.", "claims": [{"id": "claim-method", "statement": "Human samples of healthy controls and gestational diabetes mellitus were compared in terms of expression profiling of differentially expressed (DE)miRNA via GEO2R (http://www.ncbi.nlm.nih.gov/geo/geo2r/).", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:31497041", "locator": "sections[3] \"3. 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