Perspectives on systems biology applications in diabetic kidney disease.
Authors Komorowsky CV, Brosius FC, Pennathur S, Kretzler M
Submitted By Matthias Kretzler on 1/30/2013
Status Published
Journal Journal of cardiovascular translational research
Year 2012
Date Published 8/1/2012
Volume : Pages 5 : 491 - 508
PubMed Reference 22733404
Abstract Diabetic kidney disease (DKD) is a microvascular complication of type 1 and 2
diabetes with a devastating impact on individuals with the disease, their
families, and society as a whole. DKD is the single most frequent cause of
incident chronic kidney disease cases and accounts for over 40% of the
population with end-stage renal disease. Contributing factors for the high
prevalence are the increase in obesity and subsequent diabetes combined with an
improved long-term survival with diabetes. Environment and genetic variations
contribute to DKD susceptibility and progressive loss of kidney function. How
the molecular mechanisms of genetic and environmental exposures interact during
DKD initiation and progression is the focus of ongoing research efforts. The
development of standardized, unbiased high-throughput profiling technologies of
human DKD samples opens new avenues in capturing the multiple layers of DKD
pathobiology. These techniques routinely interrogate analytes on a genome-wide
scale generating comprehensive DKD-associated fingerprints. Linking the
molecular fingerprints to deep clinical phenotypes may ultimately elucidate the
intricate molecular interplay in a disease stage and subtype-specific manner.
This insight will form the basis for accurate prognosis and facilitate targeted
therapeutic interventions. In this review, we present ongoing efforts from
large-scale data integration translating "-omics" research efforts into improved
and individualized health care in DKD.

Investigators with authorship
Frank BrosiusUniversity of Arizona
Matthias KretzlerUniversity of Michigan

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