Defining human diabetic nephropathy on the molecular level: integration of
transcriptomic profiles with biological knowledge.
Authors Martini S, Eichinger F, Nair V, Kretzler M
Submitted By Matthias Kretzler on 5/5/2014
Status Published
Journal Reviews in endocrine & metabolic disorders
Year 2008
Date Published 12/1/2008
Volume : Pages 9 : 267 - 274
PubMed Reference 18704688
Abstract Diabetic nephropathy (DN) is the most common cause for end stage renal disease
(ESRD). Next to environmental factors, genetic predispositions determine the
susceptibility for DN and its rate of progression to ESRD. With the availability
of genome wide expression profiling we have the opportunity to define relevant
pathways activated in the individual diabetic patient, integrating both
environmental exposure and genetic background. In this review we summarize
current understanding of how to link comprehensive gene expression data sets
with biomedical knowledge and present strategies to build a transcriptional
network of DN. Information about the individual disease processes of DN might
allow the implementation of a personalized molecular medicine approach with
mechanism-based patient management. Web based search engines like Nephromine are
essential tools to facilitate access to molecular data of genomics, proteomics
and metabolomics of DN.

Investigators with authorship
Matthias KretzlerUniversity of Michigan