Journal
KIDNEY INTERNATIONAL
Volume 93, Issue 2, Pages 308-310Publisher
ELSEVIER SCIENCE INC
DOI: 10.1016/j.kint.2017.10.026
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The incidence and prevalence of diabetic kidney disease is increasing. Observational and interventional studies suggest that the pathophysiology varies between individuals and within a patient over time. There is a huge clinical need to describe the molecular processes that modulate diabetic kidney disease. Omics experiments combined with bioinformatical analysis tools might allow for profiling of patients on an individual or at least group level to improve prediction of prognosis and guide targeted therapy.
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