title: Identifying common and specific microRNAs expressed in peripheral blood mononuclear cell of type 1, type 2, and gestational diabetes mellitus patients.
abstract: BACKGROUND
  Regardless the regulatory function of microRNAs (miRNA), their differential expression pattern has been used to define miRNA signatures and to disclose disease biomarkers. To address the question of whether patients presenting the different types of diabetes mellitus could be distinguished on the basis of their miRNA and mRNA expression profiling, we obtained peripheral blood mononuclear cell (PBMC) RNAs from 7 type 1 (T1D), 7 type 2 (T2D), and 6 gestational diabetes (GDM) patients, which were hybridized to Agilent miRNA and mRNA microarrays. Data quantification and quality control were obtained using the Feature Extraction software, and data distribution was normalized using quantile function implemented in the Aroma light package. Differentially expressed miRNAs/mRNAs were identified using Rank products, comparing T1DxGDM, T2DxGDM and T1DxT2D. Hierarchical clustering was performed using the average linkage criterion with Pearson uncentered distance as metrics.
  
  
  RESULTS
  The use of the same microarrays platform permitted the identification of sets of shared or specific miRNAs/mRNA interaction for each type of diabetes. Nine miRNAs (hsa-miR-126, hsa-miR-1307, hsa-miR-142-3p, hsa-miR-142-5p, hsa-miR-144, hsa-miR-199a-5p, hsa-miR-27a, hsa-miR-29b, and hsa-miR-342-3p) were shared among T1D, T2D and GDM, and additional specific miRNAs were identified for T1D (20 miRNAs), T2D (14) and GDM (19) patients. ROC curves allowed the identification of specific and relevant (greater AUC values) miRNAs for each type of diabetes, including: i) hsa-miR-1274a, hsa-miR-1274b and hsa-let-7f for T1D; ii) hsa-miR-222, hsa-miR-30e and hsa-miR-140-3p for T2D, and iii) hsa-miR-181a and hsa-miR-1268 for GDM. Many of these miRNAs targeted mRNAs associated with diabetes pathogenesis.
  
  
  CONCLUSIONS
  These results indicate that PBMC can be used as reporter cells to characterize the miRNA expression profiling disclosed by the different diabetes mellitus manifestations. Shared miRNAs may characterize diabetes as a metabolic and inflammatory disorder, whereas specific miRNAs may represent biological markers for each type of diabetes, deserving further attention.
authors.affiliation: Department of Medicine, Division of Clinical Immunology, Faculty of Medicine of Ribeirao Preto, University of São Paulo, 14048-900 Ribeirao Preto, SP, Brazil. eadonadi@fmrp.usp.br.
authors.forename: Cristhianna V A
authors.initials: CV
authors.lastname: Collares
authors.forename: Adriane F
authors.initials: AF
authors.lastname: Evangelista
authors.forename: Danilo J
authors.initials: DJ
authors.lastname: Xavier
authors.forename: Diane M
authors.initials: DM
authors.lastname: Rassi
authors.forename: Thais
authors.initials: T
authors.lastname: Arns
authors.forename: Maria C
authors.initials: MC
authors.lastname: Foss-Freitas
authors.forename: Milton C
authors.initials: MC
authors.lastname: Foss
authors.forename: Denis
authors.initials: D
authors.lastname: Puthier
authors.forename: Elza T
authors.initials: ET
authors.lastname: Sakamoto-Hojo
authors.forename: Geraldo A
authors.initials: GA
authors.lastname: Passos
authors.forename: Eduardo A
authors.initials: EA
authors.lastname: Donadi
mesh_terms: D003922:Diabetes Mellitus, Type 1 / Q000235:genetics*; D003924:Diabetes Mellitus, Type 2 / Q000235:genetics*; D016640:Diabetes, Gestational / Q000235:genetics*; D005260:Female; D006801:Humans; D035683:MicroRNAs / Q000235:genetics*; D009000:Monocytes / Q000378:metabolism*; D011247:Pregnancy
chemical_list: D035683:MicroRNAs