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Perspectives on systems biology applications in diabetic kidney disease.
Komorowsky CV, Brosius FC, Pennathur S, Kretzler M
Matthias Kretzler on 1/30/2013
Journal of cardiovascular translational research
Volume : Pages
5 : 491 - 508
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
University of Arizona
University of Michigan
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Please acknowledge all posters, manuscripts or scientific materials that were generated in part or whole using funds from the Diabetic Complications Consortium(DiaComp) using the following text:
Financial support for this work provided by the NIDDK Diabetic Complications Consortium (RRID:SCR_001415, www.diacomp.org), grants DK076169 and DK115255
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