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Insights into Diabetic Kidney Disease Using Urinary Proteomics and Bioinformatics.
Van, Julie A D; Scholey, James W; Konvalinka, Ana.
Affiliation
  • Van JA; Institute of Medical Science, University of Toronto, Toronto, Ontario, Canada; and julie.van@mail.utoronto.ca.
  • Scholey JW; Institute of Medical Science, University of Toronto, Toronto, Ontario, Canada; and.
  • Konvalinka A; Department of Medicine, Division of Nephrology, University Health Network, Toronto, Ontario, Canada.
J Am Soc Nephrol ; 28(4): 1050-1061, 2017 Apr.
Article in En | MEDLINE | ID: mdl-28159781
A number of proteomic and peptidomic analyses of urine from diabetic subjects have been published in the quest for a biomarker that predicts progression of nephropathy. Less attention has been paid to the relationships between urinary proteins and the underlying biological processes revealed by the analyses. In this review, we focus on the biological processes identified by studying urinary proteins and protein-protein interactions at each stage of diabetic nephropathy to provide an overview of the events underlying progression of kidney disease reflected in the urine. In uncomplicated diabetes, proteomic/peptidomic analyses indicate that early activation of fibrotic pathways in the kidney occurs before the onset of microalbuminuria. In incipient nephropathy, when albumin excretion rates are abnormal, proteomic/peptidomic analyses suggest that changes in glomerular permselectivity and tubular reabsorption account, at least in part, for the proteins and peptides that appear in the urine. Finally, overt nephropathy is characterized by proteins involved in wound healing, ongoing fibrosis, and inflammation. These findings suggest that there is a spectrum of biological processes in the diabetic kidney and that assessing protein networks may be more informative than individual markers with respect to the stage of disease and the risk of progression.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Computational Biology / Proteomics / Diabetic Nephropathies Type of study: Diagnostic_studies / Etiology_studies / Prognostic_studies Limits: Humans Language: En Journal: J Am Soc Nephrol Journal subject: NEFROLOGIA Year: 2017 Type: Article

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Computational Biology / Proteomics / Diabetic Nephropathies Type of study: Diagnostic_studies / Etiology_studies / Prognostic_studies Limits: Humans Language: En Journal: J Am Soc Nephrol Journal subject: NEFROLOGIA Year: 2017 Type: Article