Exosomal UMOD gene expression and urinary uromodulin level as early noninvasive diagnostic biomarkers for diabetic nephropathy in type 2 diabetic patients.

阅读:5
作者:Barr Shaimaa I, Bessa Sahar S, Mohamed Tarek M, Abd El-Azeem Eman M
BACKGROUND: Diabetic nephropathy (DN) is the leading cause of end-stage renal disease. Exosomes are promising biomarkers for disease diagnosis and uromodulin is a kidney-specific protein. So, this study was designed to investigate the change in the gene expression of urinary exosomal uromodulin mRNA and urinary uromodulin level and determine the diagnostic potential of these noninvasive biomarkers in the early stage of diabetic nephropathy in type 2 diabetic patients. METHOD: This study included 100 participants; urinary exosomes were isolated using polyethylene glycol (PEG). Gene expression of exosomal uromodulin mRNA was determined by quantitative real-time polymerase chain reaction (q-RT-PCR). The urinary uromodulin levels were determined by an enzyme-linked immunosorbent assay (ELISA). RESULT: In this study, the gene expression of exosomal uromodulin (UMOD) mRNA and the level of urinary uromodulin showed a significant increase in all diabetic groups with and without nephropathy compared to the control group. The exosomal UMOD mRNA showed a significant positive correlation with urinary uromodulin in all groups. Multiple logistic regression showed that urinary uromodulin was an independent determinant for DN. A diagnostic model of two indicators, exosomal UMOD mRNA and urinary uromodulin, can significantly predict DN. The area under the curve is 0.095, with a 95% confidence interval of 0.98-1, and 0.81, with a 95% confidence interval of 0.69-0.92, for the exosomal UMOD mRNA and urinary uromodulin, respectively. CONCLUSION: Urinary exosomal mRNA of UMOD and urinary uromodulin levels are progressively elevated in an early stage of DN, even before the microalbuminuria stage, so they could be used as early predictors for DN.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。