The relation between CircRNA0056618 and type 2 diabetes mellitus and insulin resistance through miRNA-206/PTPn-1 pathway

Author:

Abdelgwad Marwa M.1,Rashed Maysa H.2,Helmy Mona Y.3,Eldemery Ahmed B.2,Fattah Dina S.A.1

Affiliation:

1. Department of Medical Biochemistry and Molecular Biology, Cairo, Egypt

2. Department of Medical Biochemistry and Molecular Biology, Faculty of Medicine, 6 October University, Cairo, Egypt

3. Department of Internal Medicine, Faculty of Medicine, Cairo University, Cairo, Egypt

Abstract

Background 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. Objective 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. Patients and methods 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. Statistical analysis used 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. Results and conclusion 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.

Publisher

Medknow

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3