通过 miRNA-206/PTPn-1 通路研究 CircRNA0056618 与 2 型糖尿病和胰岛素抵抗的关系

IF 0.7 Q4 PHARMACOLOGY & PHARMACY
Marwa Abdelgwad, Maysa H. Rashed, Mona Y. Helmy, Ahmed B. Eldemery, Dina S.A. Fattah
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引用次数: 0

摘要

糖尿病(DM)是一种众所周知的代谢综合征,其特征是由于胰岛素合成、胰岛素作用或两者的结合缺陷而产生的高血糖。 这项研究旨在了解环状 RNA 0056618(circRNA 0056618)如何与 miRNA-206 相互作用,以控制 2 型糖尿病(T2DM)患者的血糖水平,并检测 PTPN-1 基因表达和蛋白磷酸酶-2(PP2A)、胰岛素受体底物(IRS)蛋白水平在糖尿病中的作用。此外,circRNA 0056618、miRNA-206、PTPN-1、IRS和PP2A蛋白是否可作为T2DM诊断和预后的生物标志物。 这项横断面分析研究以 110 名患者为对象。研究人员被平均分为两组:患者组(T2DM)和对照组(正常人)。所有参与者都接受了实时定量 PCR 评估 RNA(circRNA 0056618、miRNA-206 和 PTPn-1 基因表达)、酶联免疫吸附分析技术评估 IRS 和 PP2A 蛋白水平。 使用社会科学统计软件包(SPSS)第 28 版对数据进行编码和输入。所有数据均以均值和标度表示。定量变量之间的相关性采用皮尔逊相关系数。利用曲线下面积(AUC)分析构建接收者操作特征(ROC)曲线,以检测用于检测病例的重要参数的最佳临界值。P 值小于 0.05 视为显著。 与正常对照组相比,糖尿病病例的 circRNA 0056618(P<0.001)、PTPN-1 基因表达(P=0.002)和 PP2A 蛋白水平(P<0.001)明显升高,而 miRNA-206 基因表达和 IRS 蛋白水平则明显降低(P<0.001)。circRNA 0056618 与 miRNA-206 呈负相关,circRNA 0056618 与 PTPN-1 呈正相关。IRS 的灵敏度为 94.5%,特异性为 90.9%,AUC 为 0.905。PP2A 的灵敏度为 96.4%,特异性为 81.8%,AUC 为 0.919。circRNA 0056618 的 ROC 曲线为 0.882,灵敏度为 89.1%,特异度为 87.3%,AUC 为 0.932;miRNA-206 的 ROC 曲线为 0.785,灵敏度为 85.5%,特异度为 85.5%,AUC 为 0.869。PTPN-1 的 ROC 曲线为 0.556,灵敏度为 67.3%,特异度为 67.3%,AUC 为 0.669。我们得出结论:circRNA 0056618、PTPN-1、PP2A、miRNA-206 和 IRS 被认为是 T2DM 的诊断性、预测性生物标记物。未来基于 RNA 的治疗方法可能会受益于对这些新通路的了解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The relation between CircRNA0056618 and type 2 diabetes mellitus and insulin resistance through miRNA-206/PTPn-1 pathway
Diabetes mellitus (DM) is a well-known metabolic syndrome characterized by hyperglycemia produced by a defect in insulin synthesis, insulin action, or a combination of the two. The aim of this work was to find out how circular RNA 0056618 (circRNA 0056618) interacts with miRNA-206 to control blood sugar levels in type-2 diabetes mellitus (T2DM), as well as to test the role of PTPN-1 gene expression and protein phosphatase-2 (PP2A), insulin receptor substrate (IRS) protein level in diabetes. Also, whether circRNA 0056618, miRNA-206, PTPN-1, IRS, and PP2A protein could be used as biomarkers for T2DM diagnosis and prognosis. This cross-sectional analytic study was carried out on 110 patients. Participants were divided into two equal groups: patients’ group (T2DM) and control group (normal participants). All participants were subjected to quantitative real-time PCR for assessed RNAs (circRNA 0056618, miRNA-206, and PTPn-1 gene expression), enzyme-linked immunosorbent assay technique for IRS, and PP2A protein levels. The Statistical Package for the Social Sciences (SPSS), version 28 was used to code and enter the data. All data will be presented as means and SDs. Correlations between quantitative variables will be done using Pearson correlation coefficient. Receiver operating characteristic (ROC) curve was constructed with area under the curve (AUC) analysis performed to detect the best cutoff value of significant parameters for detection of cases. P value will be considered significant less than 0.05. There was a significant increase in circRNA 0056618 (P<0.001), PTPN-1 gene expression (P=0.002), and PP2A protein levels (P<0.001) and a significant decrease in miRNA-206 gene expression and IRS protein levels in diabetic cases (P<0.001) when compared with normal controls. There was a negative correlation between circRNA 0056618 and miRNA-206 and a positive correlation between circRNA 0056618 and PTPN-1. IRS at 0.840 showed 94.5% sensitivity and 90.9% specificity and AUC 0.905. PP2A at 0.868, sensitivity 96.4% and specificity 81.8%, and AUC 0.919. ROC curve for circRNA 0056618, at 0.882, sensitivity 89.1% and specificity 87.3%, and AUC 0.932, miRNA-206 at 0.785, sensitivity 85.5% and specificity 85.5%, and AUC 0.869. ROC curve for PTPN-1 at 0.556, sensitivity 67.3% and specificity 67.3%, and AUC 0.669. We concluded that circRNA 0056618, PTPN-1, PP2A, miRNA-206 and IRS are considered diagnostic, predictive biomarkers in T2DM. Future RNA-based therapy approaches may benefit from an understanding of such new pathways.
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来源期刊
Egyptian Pharmaceutical Journal
Egyptian Pharmaceutical Journal PHARMACOLOGY & PHARMACY-
CiteScore
1.10
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