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العنوان
The discovery of putative marker for detection of diabetic nephropathy by integrative mining of public databases/
المؤلف
aboushehab,Rowaida Mohamed Reda
هيئة الاعداد
باحث / رويدا محمد رضا أبوشهبه
مشرف / سناء عيسى محمد
مشرف / ياسر سليمان أحمد
مشرف / مروة متبولي سيد
تاريخ النشر
2016
عدد الصفحات
152.p:
اللغة
الإنجليزية
الدرجة
ماجستير
التخصص
الكيمياء الحيوية (الطبية)
تاريخ الإجازة
1/1/2016
مكان الإجازة
جامعة عين شمس - كلية الطب - biochemistry
الفهرس
Only 14 pages are availabe for public view

from 152

from 152

Abstract

Diabetic nephropathy (DN) is a major microvascular complication of diabetes and the leading cause of ESRD, which can manifest despite tight glycemic control and various therapeutic interventions. Overt nephropathy is diagnosed when the albumin excretion rate (AER) persistently exceeds 300 mg in a 24-h urine collection. miRNA are currently recognized as potentially important regulators of genes involved in processes related to the development of diabetic nephropathy, and as such, represent viable targets for both clinical diagnostic strategies and therapeutic intervention. Recently, urine exosomes have been proposed as valuable tools for early diagnosis of DN (Musante et al., 2014) and also for predicting renal dysfunction and damage.
Aim: To select biomarker relevant to diabetic nephropathy from the databases and to evaluate its usefulness as a urine molecular marker for early diabetic nephropathy detection.
Results: Our results revealed that the urinary exosomal miR-133b can improve the diagnostic accuracy and miR-636 may be a useful predictive biomarker for the progression of diabetic nephropathy.
Conclusion: miRNA-133b and miRNA-636 expression levels in urine sample is a potentially useful urinary biomarker for early diagnosis and prediction of progression of diabetic nephropathy.