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.
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.
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.
Information on the mechanisms that are associated with tumor resistance has the potential to provide the fundamental basis for novel therapeutic strategies. In glioblastoma (GBM), predictive ...biomarkers of cellular responses to temozolomide (TMZ) combined with poly-ADP-ribose polymerase inhibitor (PARPi) remain largely unidentified. In this context, the influence of MGMT (O.sup.6-methylguanine DNA methyltransferase) and PTEN (phosphatase and tensin homologue deleted on chromosome ten) has been studied in addition to the occurrence of synthetic lethality involving PTEN and PARPi. The present study investigated whether PARP-1 inhibition by NU1025 may increase the cytotoxicity of TMZ-induced lesions in GBM cells, and whether these mechanisms can be influenced by MGMT and PTEN status. The impact of PTEN deficiency in repair pathways, and the effects of PARP-1 inhibition and PTEN silencing, in terms of synthetic lethality, were also assessed. NU1025 combined with TMZ effectively sensitized TMZ-resistant cells (T98G PTEN-mutated and LN18 PTEN-wild-type) and TMZ-sensitive cells (U251MG PTEN-mutated), in contrast to NU1025 alone. However, the sensitizing effects were not observed in U87MG (PTEN-mutated) cells, suggesting that specific genetic alterations may influence the response to drug treatment. The sensitizing effects occurred independently of MGMT activity, which was evaluated in O6-BG-treated cells. PTEN silencing using small interfering (si)RNA did not sensitize PTEN-proficient cells to TMZ + NU1025, or NU1025 alone, indicating an absence of synthetic lethality. The responses to TMZ + NU1025 involved antiproliferative activity, G2/M arrest, double strand breaks and the induction of apoptosis. Following 20 days of recovery after three consecutive days of TMZ treatment, TMZ-resistant cells were observed. However, when TMZ was combined with NU1025, the viability of T98G and LN18 cells was extremely decreased, indicating a lethal drug combination. Therefore, independently of MGMT proficiency and PTEN status, TMZ combined with PARPi may be a promising strategy that can be used to overcome TMZ acquired resistance in GBM cells. Key words: PARP-1 inhibition, glioblastoma, temozolomide, PTEN, MGMT, predictive biomarker
Type 1 diabetes (T1D) arises from autoimmune-mediated destruction of insulin-producing β-cells leading to impaired insulin secretion and hyperglycemia. T1D is accompanied by DNA damage, oxidative ...stress, and inflammation, although there is still scarce information about the oxidative stress response and DNA repair in T1D pathogenesis. We used the microarray method to assess mRNA expression profiles in peripheral blood mononuclear cells (PBMCs) of 19 T1D patients compared to 11 controls and identify mRNA targets of microRNAs that were previously reported for T1D patients. We found 277 differentially expressed genes (220 upregulated and 57 downregulated) in T1D patients compared to controls. Analysis by gene sets (GSA and GSEA) showed an upregulation of processes linked to ROS generation, oxidative stress, inflammation, cell death, ER stress, and DNA repair in T1D patients. Besides, genes related to oxidative stress responses and DNA repair (PTGS2, ATF3, FOSB, DUSP1, and TNFAIP3) were found to be targets of four microRNAs (hsa-miR-101, hsa-miR148a, hsa-miR-27b, and hsa-miR-424). The expression levels of these mRNAs and microRNAs were confirmed by qRT-PCR. Therefore, the present study on differential expression profiles indicates relevant biological functions related to oxidative stress response, DNA repair, inflammation, and apoptosis in PBMCs of T1D patients relative to controls. We also report new insights regarding microRNA-mRNA interactions, which may play important roles in the T1D pathogenesis.
Type 1 diabetes mellitus (T1DM) results from an autoimmune attack against the insulin-producing pancreatic β-cells, leading to elimination of insulin production. The exact cause of this disorder is ...still unclear. Although the differential expression of microRNAs (miRNAs), small non-coding RNAs that control gene expression in a post-transcriptional manner, has been identified in many diseases, including T1DM, only scarce information exists concerning miRNA expression profile in T1DM. Thus, we employed the microarray technology to examine the miRNA expression profiles displayed by peripheral blood mononuclear cells (PBMCs) from T1DM patients compared with healthy subjects. Total RNA extracted from PBMCs from 11 T1DM patients and nine healthy subjects was hybridized onto Agilent human miRNA microarray slides (V3), 8x15K, and expression data were analyzed on R statistical environment. After applying the rank products statistical test, the receiver-operating characteristic (ROC) curves were generated and the areas under the ROC curves (AUC) were calculated. To examine the functions of the differentially expressed (p-value<0.01, percentage of false-positives <0.05) miRNAs that passed the AUC cutoff value ≥0.90, the database miRWalk was used to predict their potential targets, which were afterwards submitted to the functional annotation tool provided by the Database for Annotation, Visualization, and Integrated Discovery (DAVID), version 6.7, using annotations from the Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis. We found 57 probes, corresponding to 44 different miRNAs (35 up-regulated and 9 down-regulated), that were differentially expressed in T1DM and passed the AUC threshold of 0.90. The hierarchical clustering analysis indicated the discriminatory power of those miRNAs, since they were able to clearly distinguish T1DM patients from healthy individuals. Target prediction indicated that 47 candidate genes for T1DM are potentially regulated by the differentially expressed miRNAs. After performing functional annotation analysis of the predicted targets, we observed 22 and 12 annotated KEGG pathways for the induced and repressed miRNAs, respectively. Interestingly, many pathways were enriched for the targets of both up- and down-regulated miRNAs and the majority of those pathways have been previously associated with T1DM, including many cancer-related pathways. In conclusion, our study indicated miRNAs that may be potential biomarkers of T1DM as well as provided new insights into the molecular mechanisms involved in this disorder.
•A set of 44 miRNAs clearly distinguished T1DM patients from healthy subjects.•Putative candidate genes for T1DM are among the potential targets of the 44 miRNAs.•Several KEGG pathways were enriched for the predicted targets of the 44 miRNAs.•Many pathways were possibly regulated by both up- and down-regulated miRNAs.•Dysregulation of miRNA expression and their functions might be involved in T1DM.
The development of type 2 diabetes mellitus (T2D) is associated with a number of genetic and environmental factors. Hyperglycemia, a T2D hallmark, is related to several metabolic complications, ...comorbidities and increased DNA damage. However, the molecular alterations of a proper glucose control are still unclarified. In this study, we aimed to evaluate DNA damage (comet assay), as well as to compare the transcriptional expression (mRNA and miRNA analyzed by the microarray technique) displayed by peripheral blood mononuclear cells (PBMCs) from three distinct groups: hyperglycemic T2D patients (T2D-H, n=14), non-hyperglycemic T2D patients (T2D-N, n=15), and healthy non-diabetic individuals (n=16). The comet assay revealed significantly (p<0.05) higher levels of DNA damage in T2D-H group compared to both T2D-N and control groups, while a significant difference was not observed between the control and T2D-N groups. After bioinformatics analysis, the differentially expressed mRNAs were subjected to functional enrichment analysis (DAVID) and inflammatory response was among the enriched terms found when comparing T2D-N with controls and T2D-H with T2D-N. Concerning the gene set enrichment and gene set analyses, among the differentially expressed gene sets, three were of interest: regulation of DNA repair (T2D-H versus T2D-N), superoxide response (T2D-H versus control group), and response to endoplasmic reticulum stress (T2D-H versus control group). We also identified miRNAs related with T2D and hyperglycemia not yet associated with these conditions in the literature. Some of the differentially expressed mRNAs were among the predicted targets of the differentially expressed miRNAs. Our results showed the association of hyperglycemia with increased DNA damage and aberrant expression of miRNAs and genes related to several biological processes, such as inflammation, DNA repair, ROS production and antioxidant defense, highlighting the importance of proper glycemic control. Moreover, the transcriptional expression of miRNAs provided novel information for understanding the regulatory mechanisms involved in the T2D progression.
Patients with type 2 diabetes mellitus (T2DM) exhibit insulin resistance associated with obesity and inflammatory response, besides an increased level of oxidative DNA damage as a consequence of the ...hyperglycemic condition and the generation of reactive oxygen species (ROS). In order to provide information on the mechanisms involved in the pathophysiology of T2DM, we analyzed the transcriptional expression patterns exhibited by peripheral blood mononuclear cells (PBMCs) from patients with T2DM compared to non-diabetic subjects, by investigating several biological processes: inflammatory and immune responses, responses to oxidative stress and hypoxia, fatty acid processing, and DNA repair. PBMCs were obtained from 20 T2DM patients and eight non-diabetic subjects. Total RNA was hybridized to Agilent whole human genome 4×44K one-color oligo-microarray. Microarray data were analyzed using the GeneSpring GX 11.0 software (Agilent). We used BRB-ArrayTools software (gene set analysis — GSA) to investigate significant gene sets and the Genomica tool to study a possible influence of clinical features on gene expression profiles. We showed that PBMCs from T2DM patients presented significant changes in gene expression, exhibiting 1320 differentially expressed genes compared to the control group. A great number of genes were involved in biological processes implicated in the pathogenesis of T2DM. Among the genes with high fold-change values, the up-regulated ones were associated with fatty acid metabolism and protection against lipid-induced oxidative stress, while the down-regulated ones were implicated in the suppression of pro-inflammatory cytokines production and DNA repair. Moreover, we identified two significant signaling pathways: adipocytokine, related to insulin resistance; and ceramide, related to oxidative stress and induction of apoptosis. In addition, expression profiles were not influenced by patient features, such as age, gender, obesity, pre/post-menopause age, neuropathy, glycemia, and HbA1c percentage. Hence, by studying expression profiles of PBMCs, we provided quantitative and qualitative differences and similarities between T2DM patients and non-diabetic individuals, contributing with new perspectives for a better understanding of the disease.
► PBMCs from T2DM patients present differential gene expression compared to controls. ► Induced genes are related to FA metabolism, protection against oxidative stress. ► Repressed genes are related to suppression of cytokines production, DNA repair. ► Two significant signaling pathways were identified: adipocytokine and ceramide. ► Patient features have no influence on expression profiles.
Patients with systemic sclerosis (SSc) exhibit increased toxicity when exposed to genotoxic agents. In our study, we evaluated DNA damage and polymorphic sites in 2 DNA repair genes (XRCC1 Arg399Gln ...and XRCC4 Ile401Thr) in patients with SSc.
A total of 177 patients were studied for DNA repair gene polymorphisms. Fifty-six of them were also evaluated for DNA damage in peripheral blood cells using the comet assay.
Compared to controls, the patients as a whole or stratified into major clinical variants (limited or diffuse skin involvement), irrespective of the underlying treatment schedule, exhibited increased DNA damage. XRCC1 (rs: 25487) and XRCC4 (rs: 28360135) allele and genotype frequencies observed in patients with SSc were not significantly different from those observed in controls; however, the XRCC1 Arg399Gln allele was associated with increased DNA damage only in healthy controls and the XRCC4 Ile401Thr allele was associated with increased DNA damage in both patients and controls. Further, the XRCC1 Arg399Gln allele was associated with the presence of antinuclear antibody and anticentromere antibody. No association was observed between these DNA repair gene polymorphic sites and clinical features of patients with SSc.
These results corroborate the presence of genomic instability in SSc peripheral blood cells, as evaluated by increased DNA damage, and show that polymorphic sites of the XRCC1 and XRCC4 DNA repair genes may differentially influence DNA damage and the development of autoantibodies.
Abstract Aims Hyperglycemia leads to increased production of reactive oxygen species (ROS), which reduces cellular antioxidant defenses and induces several DNA lesions. We investigated the effects on ...DNA damage of a seven-day hospitalization period in patients with type 2 diabetes mellitus (T2DM) to achieve adequate blood glucose levels through dietary intervention and medication treatment, compared with non-diabetic individuals. Methods DNA damage levels were evaluated by the alkaline comet assay (with modified and without conventional use of hOGG1 enzyme, which detects oxidized DNA bases) for 10 patients and 16 controls. Real time PCR array method was performed to analyze the transcriptional expression of a set of 84 genes implicated in antioxidant defense and response to oxidative stress in blood samples from T2DM patients ( n = 6) collected before and after the hospitalization period. Results The seven-day period was sufficient to improve glycemic control and to significantly decrease ( p < 0.05) DNA damage levels in T2DM patients, although those levels were slightly higher than those in control subjects. We also found a tendency towards a decrease in the levels of oxidative DNA damage in T2DM patients after the hospitalization period. However, for all genes analyzed, a statistically significant difference in the transcriptional expression levels was not observed. Conclusions The study demonstrated that although the transcriptional expression of the genes studied did not show significant alterations, one-week of glycemic control in hospital resulted in a significant reduction in DNA damage levels detected in T2DM patients, highlighting the importance of an adequate glycemic control.
Type 1 diabetes (T1D) is an autoimmune disease, while type 2 (T2D) and gestational diabetes (GDM) are considered metabolic disturbances. In a previous study evaluating the transcript profiling of ...peripheral mononuclear blood cells obtained from T1D, T2D and GDM patients we showed that the gene profile of T1D patients was closer to GDM than to T2D. To understand the influence of demographical, clinical, laboratory, pathogenetic and treatment features on the diabetes transcript profiling, we performed an analysis integrating these features with the gene expression profiles of the annotated genes included in databases containing information regarding GWAS and immune cell expression signatures.
Samples from 56 (19 T1D, 20 T2D, and 17 GDM) patients were hybridized to whole genome one-color Agilent 4x44k microarrays. Non-informative genes were filtered by partitioning, and differentially expressed genes were obtained by rank product analysis. Functional analyses were carried out using the DAVID database, and module maps were constructed using the Genomica tool.
The functional analyses were able to discriminate between T1D and GDM patients based on genes involved in inflammation. Module maps of differentially expressed genes revealed that modulated genes: i) exhibited transcription profiles typical of macrophage and dendritic cells; ii) had been previously associated with diabetic complications by association and by meta-analysis studies, and iii) were influenced by disease duration, obesity, number of gestations, glucose serum levels and the use of medications, such as metformin.
This is the first module map study to show the influence of epidemiological, clinical, laboratory, immunopathogenic and treatment features on the transcription profiles of T1D, T2D and GDM patients.
P102 Donadi, Eduardo A; Cezar, Nathalia B; Evangelista, Adriane F ...
Human immunology,
10/2014, Letnik:
75
Journal Article
Recenzirano
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 < 0.05). Several induced and biologically relevant transcripts were associated with the HLA system, including HLA-DRB6, DQB1, DQB2, DOA and DQA2. The modulation of these transcripts in GDM patients reinforces the hypothesis of a deregulation of HLA class II genes in GDM patients, deserving further attention.
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