Background: In recent years, considerable attention has been paid to the role of microRNAs (miRs) as biomarkers in type 2 diabetes (T2D). The aim of the study was to evaluate the expression levels of miR-15a and miR-222 in diabetic, pre-diabetic, and healthy individuals. Materials and Methods: Ninety individuals, who were referred to the Yazd diabetic center, were enrolled in this study and then classified into three groups as healthy, pre-T2D, and diabetic based on the clinical manifestations. Real-time PCR was performed to explore miRs expression in the plasma samples of the studied population. The correlation between the biochemical characteristic and the expression of these miRs as well as specificity and sensitivity of different clinical markers in healthy and pre-diabetic groups was evaluated. Results: miR-222 expression was significantly upregulated in the pre-T2D cases compared to the control subjects (P<0.001), while no significant difference was found between the pre-T2D and T2D groups (P<0.05). The expression of miR-15a was statistically downregulated in the pre-T2D and T2D subjects (P<0.05). The receiver operating characteristic (ROC) curve analysis of miR-15a expression with a cutoff point of 1.12 resulted in the area under the curve (AUC) of 85% (95% CI 0.865-0.912; P<0.001) with 84% and 85% sensitivity and specificity, respectively. Similarly, for miR-222, the cutoff point of 4.03 and AUC of 86% (95% CI 0.875-0.943; P<0.001) discriminated against the pre-T2D and control subjects via the sensitivity and specificity of 86% and 87%, respectively. Moreover, miR-15a values showed a negative correlation with FG (R=−0.32, P=0.005); however, miR-222 values were positively correlated with FG (R=0.25, P=0.03) in the pre-T2D group. Furthermore, miR-222 values were correlated with OGTT in the pre-T2D group (R=0.27, P=0.001). In addition, LDL-C had a negative correlation with miR-222 values in the pre-T2D group (R=−0.23, P=0.02). Conclusion: This study indicated that the plasma expression levels of miR-222 and miR-15a can be considered as non-invasive, fast tools to separate the pre-T2D individuals from their healthy counterparts. Accordingly, this information could be used to predict the development of the disease as well as a direction for optimal therapy, thus refining outcomes in patients with diabetes.
: Since the outbreak of COVID-19, global concern emerged inspiring scientists to dedicate more attention to this pandemic. The disease caused by a novel coronavirus requires urgent striking action to probe the disease phases and find a proper cure. In this regard, the necessity of brief and thorough explanations comes into view. In this study, we gathered useful information about the virology, pathogenesis, epidemiology, manifestations, diagnosis, and treatment with special consideration of pediatric patients. This review article helps medical caregivers to receive a quick and effective approach to deal with this disease in their practice.
Today clinicians may diagnose hundreds of people with coronavirus disease 2019 (COVID-19). We report the case of a child with asthma who sought care for COVID-19 symptoms whose condition did not improve despite appropriate treatment for asthma, pneumonia and COVID-19. Further examination revealed a surprising underlying disease. It is important to consider that in pandemics such as COVID-19, because all attention is paid to the disease, underlying hidden causes may be neglected.
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