THE DISCOVERY OF PUTATIVE MARKER FOR DETECTION OF DIABETIC NEPHROPATHY BY INTEGRATIVE MINING OF PUBLIC DATABASES

Rowaida Mohammed Reda Aboushahba;

Abstract


SUMMARY
M
icroalbuminuria has been accepted as the golden standard for diagnosing diabetic nephropathy; however, a large proportion of renal impairment occurs in non-albuminuric state. Early diagnosis of diabetic nephropathy may help in preventing irreversible renal damage. It will be more useful to find sensitive and specific noninvasive diagnostic tools, that precedes the histopathologic damage that has already occurred once albuminuria is noted.
In diabetic nephropathy the expression of several microRNAs is dysregulated, contributing to the increased expression and accumulation of extracellular matrix proteins and increased pro-fibrotic signaling, ultimately resulting in renal fibrosis. Thus indicates the feasibility of the study of urinary exosomal miRNA for candidate biomarker discovery in diabetic and other renal diseases.
In this regards, we evaluate the clinical utility of urinary exosomal levels of miR-133b and miR-636 expression as a non invasive biomarkers in diagnosis of diabetic nephropathy and to c


Other data

Title THE DISCOVERY OF PUTATIVE MARKER FOR DETECTION OF DIABETIC NEPHROPATHY BY INTEGRATIVE MINING OF PUBLIC DATABASES
Other Titles اكتشاف دلالة تشخيصية لمرض الكلي المضاعف للبول السكري عن طريق دمج المعلومات بقواعد البيانات
Authors Rowaida Mohammed Reda Aboushahba
Issue Date 2016

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