title: Comparison of Transcriptome Between Type 2 Diabetes Mellitus and Impaired Fasting Glucose.
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.
authors.affiliation: Department of Endocrinology, Jinan Central Hospital Affiliated to Shandong University, Jinan, Shandong, China (mainland)
authors.forename: Ying
authors.initials: Y
authors.lastname: Cui
authors.affiliation: Department of Neurology, Jinan Central Hospital Affiliated to Shandong University, Jinan, Shandong, China (mainland)
authors.forename: Wen
authors.initials: W
authors.lastname: Chen
authors.affiliation: Department of Endocrinology, Jinan Central Hospital Affiliated to Shandong University, Jinan, Shandong, China (mainland)
authors.forename: Jinfeng
authors.initials: J
authors.lastname: Chi
authors.affiliation: Department of Cardiology, Jinan Central Hospital Affiliated to Shandong University, Jinan, Shandong, China (mainland)
authors.forename: Lei
authors.initials: L
authors.lastname: Wang
mesh_terms: D000328:Adult; D000368:Aged; D001786:Blood Glucose / Q000378:metabolism; D016022:Case-Control Studies; D003924:Diabetes Mellitus, Type 2 / Q000097:blood / Q000235:genetics* / Q000378:metabolism; D005215:Fasting / Q000378:metabolism / Q000502:physiology*; D020869:Gene Expression Profiling / Q000379:methods*; D005786:Gene Expression Regulation; D005947:Glucose / Q000378:metabolism; D051548:Histone Acetyltransferases / Q000235:genetics / Q000378:metabolism; D006801:Humans; D020935:MAP Kinase Signaling System; D050985:MafK Transcription Factor / Q000235:genetics / Q000378:metabolism; D008297:Male; D035683:MicroRNAs / Q000096:biosynthesis / Q000235:genetics*; D008875:Middle Aged; D035381:TATA-Binding Protein Associated Factors / Q000235:genetics / Q000378:metabolism; D035362:Transcription Factor TFIID / Q000235:genetics / Q000378:metabolism; D059467:Transcriptome
chemical_list: D001786:Blood Glucose; C494695:MAFK protein, human; D050985:MafK Transcription Factor; D035683:MicroRNAs; D035381:TATA-Binding Protein Associated Factors; D035362:Transcription Factor TFIID; D051548:Histone Acetyltransferases; C069001:TATA-binding protein associated factor 250 kDa; D005947:Glucose