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1.
Scand J Clin Lab Invest ; 79(7): 519-523, 2019 Nov.
Article in English | MEDLINE | ID: mdl-31509021

ABSTRACT

Long noncoding RNAs (lncRNAs) have emerged as key players in several biological processes and complex diseases including type 2 diabetes mellitus (T2DM). The purpose of this study was to investigate the expression levels of SNHG17 and TTC28-AS1 in T2DM patients. Quantitative real-time RT-PCR analysis was performed using peripheral blood mononuclear cells (PBMCs) samples from patients diagnosed with T2DM and healthy controls. Binary logistic regression analysis was carried out to determine the odds of development of T2DM based on expression levels of lncRNAs and clinical characteristic of the subjects. Spearman's correlation analysis was used to clarify the correlation between SNHG17 and TTC28-AS1 expressions to metabolic features. We found that SNHG17 and TTC28-AS1were down-regulated in the T2DM group compared to the healthy control group. The logistic regression revealed that body mass index (BMI), systolic blood pressure (SBP), fasting blood glucose (FBG) and TTC28-AS1 expression substantially affect T2DM susceptibility. Furthermore, expression of SNHG17 was negatively correlated with high-density lipoprotein cholesterol (HDL-C) and expression of TTC28-AS1 was positively correlated with low-density lipoprotein cholesterol (LDL-C). Decreased expressions of lncRNAs TTC28-AS1 and SNHG17 in T2DM are possibly associated with the development of T2DM.


Subject(s)
Diabetes Mellitus, Type 2/genetics , RNA, Long Noncoding/blood , Body Mass Index , Case-Control Studies , Cholesterol, HDL/blood , Cholesterol, HDL/genetics , Cholesterol, LDL/blood , Cholesterol, LDL/genetics , Diabetes Mellitus, Type 2/blood , Gene Expression Regulation , Humans , Leukocytes, Mononuclear/physiology , Logistic Models
2.
J Cell Biochem ; 120(6): 9315-9323, 2019 06.
Article in English | MEDLINE | ID: mdl-30506719

ABSTRACT

BACKGROUND/AIMS: The risk of type 2 diabetes (T2D) is determined by a combination of genetic and environmental factors. Multiple studies have proposed that long noncoding RNAs (lncRNAs) are crucial molecules in regulating several biological processes and complex diseases. The study was aimed at investigating the association between the expression levels of lncRNA VIM-AS1, lncRNA CTBP1-AS2, and T2D susceptibility. METHODS: lncRNA VIM-AS1 and lncRNA CTBP1-AS2 in the peripheral blood mononuclear cell (PBMC) of 100 healthy individuals and 100 T2D patients were collected for Quantitative Real-Time RT-PCR analysis. A logistic regression was performed to understand whether the likelihood of T2D can be predicted based on the expression levels of lncRNA VIM-AS1 and lncRNA CTBP1-AS2. Receiver operating characteristic (ROC) analysis was also performed to determine the statistical analysis of VIM-AS1 and CTBP1-AS2 levels in 200 samples. RESULTS: Our results display that decreased levels of VIM-AS1 and CTBP1-AS2 in PBMC were associated with diabetes in Iranian population. The logistic regression revealed that Systolic blood pressure (SBP), low-density lipoprotein cholesterol (LDL-C), Fasting blood glucose (FBG) and CTBP1-AS2 are substantial predictors of T2D. The ROC analysis of CTBP1-AS2 revealed the area under the ROC curve (AUC) of 0.68 with a sensitivity of 58.7% and specificity of 75.3% in distinguishing nondiabetic from diabetic subjects. The ROC analysis of VIM-AS1 determined AUC of 0.63 with a sensitivity of 56.1% and specificity of 68.37% in distinguishing the two diagnostic groups. CONCLUSION: lncRNA VIM-AS1 and lncRNA CTBP1-AS2 expression levels are associated with T2D susceptibility.


Subject(s)
Biomarkers/blood , Cell Proliferation/genetics , Diabetes Mellitus, Type 2/genetics , RNA, Long Noncoding/genetics , Cholesterol, LDL/blood , Diabetes Mellitus, Type 2/blood , Diabetes Mellitus, Type 2/epidemiology , Diabetes Mellitus, Type 2/pathology , Female , Gene Expression Regulation/genetics , Glucose/metabolism , Humans , Iran/epidemiology , Leukocytes, Mononuclear/metabolism , Leukocytes, Mononuclear/pathology , Male , Middle Aged , RNA, Long Noncoding/blood
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