Abstract
Gestational diabetes mellitus (GDM) is the most common metabolic disorder observed during pregnancy, and has been defined as an abnormal glucose metabolism first diagnosed during gestation. GDM women usually present postpartum diabetes, insulin resistance, metabolic syndrome, hypertension and dyslipidemia. Although few genetic markers have been described for GDM, approximately 10% of GDM patients present high probability of progression to type 1 diabetes (T1D). In a previous meta-analysis study, evaluating the transcript profiles of patients with the major types of diabetes, we reported that transcription profile of T1D patients was closer to GDM than to type 2 diabetes. Additionally, it has already been reported association of some HLA alleles with GDM, suggesting a possible immunological feature for GDM. In this study, we compared the transcription profiling of PBMCs of 18 GDM patients and 10 healthy pregnant women. Total RNA samples were hybridized to Agilent® 4 × 44 K oligo microarrays encompassing the whole human functional genome. Differentially expressed mRNAs were obtained by Rank Products analysis, which classifies transcripts according to their fold change values. The hierarchical clustering of mRNAs and samples were performed using the Cluster program, dendrograms and spatial representations of mRNAs were constructed using the TreeView software. A total of 731 differentially and significantly expressed mRNAs were observed when GDM patients were compared to controls. Molecular functions and biological pathways, as analyzed by the DAVID database, identified 130 biological processes and nine signaling pathways ( P
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