Comparison of Transcriptome Between Type 2 Diabetes Mellitus and Impaired Fasting Glucose.

{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:27906902", "kind": "science-record", "revision": 9, "content_hash": "sha256:c6143dfef1f4f02c7b61c2721bd341d0054bd3657f1459c4414d8be77be9349f", "created_at": "2026-11-01T15:40:21Z", "updated_at": "2026-11-01T22:42:50Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Comparison of Transcriptome Between Type 2 Diabetes Mellitus and Impaired Fasting Glucose.", "doi": "10.12659/msm.896772", "pmid": "27906902", "authors": ["Ying Cui", "Wen Chen", "Jinfeng Chi", "Lei Wang"], "journal": "Medical science monitor : international medical journal of experimental and clinical research", "year": 2016, "abstract": "BACKGROUND The aim of this study was to compare the transcriptome between impaired fasting glucose (IFG) and type 2 diabetes mellitus (T2DM), and further research their molecular mechanisms. MATERIAL AND METHODS The original microarray GSE21321, including miRNA and mRNA expression profiles, was downloaded from the GEO database. Data preprocessing was processed by limma package, and differentially expressed genes (DGs) and miRNA (DMs) were screened. Then, the regulatory relationships among miRNA, TF, and genes were screened and the regulatory network was constructed. Finally, DAVID was used for KEGG enrichment analysis. RESULTS There were 11 upregulated IFG-related DMs and five upregulated T2DM-related DMs. Three of the DMs overlapped. In addition, there were eight downregulated IFG-related DMs and two downregulated T2DM-related DMs. Only one downregulated DM overlapped. Similarly, there were 264 upregulated IFG-related DGs and 331 upregulated T2DM-related DGs; and 196 overlapping genes were obtained. In addition, there were 400 downregulated IFG-related DMs and 568 downregulated T2DM-related DMs. A total of 326 downregulated DMs were overlapped. The overlapped DGs were enriched in various pathways, including hematopoietic cell lineage, Fc gamma R-mediated phagocytosis, and MAPK signaling pathway. TAF1 (upregulated gene) and MAFK (downregulated gene) were hub nodes both in IFG- and T2DM-related miRNA-TF-gene regulatory network. In addition, miRNAs, including hsa-miR-29a, hsa-miR-192, and hsa-miR-144, were upregulated hub nodes in the two regulatory networks. CONCLUSIONS Genes including TAF1 and MAFK, and miRNAs including hsa-miR-29a, hsa-miR-192, and hsa-miR-144 might be potential target genes and important miRNAs for IFG and T2DM.", "claims": [{"id": "claim-method", "statement": "Limma package was used for differential expression analysis of gene and miRNA expression matrix.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:27906902", "locator": "sections[6] \"Differential expression analysis\" paragraph 2", "quote": "Limma package was used for differential expression analysis of gene and miRNA expression matrix."}], "state": "complete"}, {"id": "claim-data-access", "statement": "The gene expression profile of GSE21321 [11] was downloaded from Gene Expression Omnibus (GEO) database. This dataset is composed by mRNA expression profiling and miRNA expression profiling generated by Karolina et al. 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