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Sci Rep. 2017 Nov 9;7(1):15160. doi: 10.1038/s41598-017-15359-9.

Urinary peptidomics analysis reveals proteases involved in diabetic nephropathy.

Author information

1
Biomedical Research Foundation Academy of Athens, Athens, Greece.
2
Mosaiques Diagnostics GmbH, Hannover, Germany.
3
Department of Pediatric Nephrology, Hannover Medical School, Hannover, Germany.
4
Institut National de la Santé et de la Recherche Médicale (INSERM), U1048, Institut of Cardiovascular and Metabolic Disease, Toulouse, France.
5
Université Toulouse III Paul-Sabatier, Toulouse, France.
6
Department of Diabetes and Cardiovascular Science, University of the Highlands and Islands, Centre for Health Science, Inverness, IV2 3JH, UK.
7
Department of Internal Medicine IV (Nephrology and Hypertension), Medical University Innsbruck, Innsbruck, Austria.
8
Institut National de la Santé et de la Recherche Médicale (INSERM), U1188 - Université de La, Réunion, France.
9
Institute of Cardiovascular and Medical Sciences, BHF Glasgow Cardiovascular Research Centre, University of Glasgow, 126 University Place, Glasgow, G12 8TA, UK.
10
Biomedical Research Foundation Academy of Athens, Athens, Greece. vlahoua@bioacademy.gr.

Abstract

Mechanisms underlying the onset and progression of nephropathy in diabetic patients are not fully elucidated. Deregulation of proteolytic systems is a known path leading to disease manifestation, therefore we hypothesized that proteases aberrantly expressed in diabetic nephropathy (DN) may be involved in the generation of DN-associated peptides in urine. We compared urinary peptide profiles of DN patients (macroalbuminuric, n = 121) to diabetic patients with no evidence of DN (normoalbuminuric, n = 118). 302 sequenced, differentially expressed peptides (adjusted p-value < 0.05) were analysed with the Proteasix tool predicting proteases potentially involved in their generation. Activity change was estimated based on the change in abundance of the investigated peptides. Predictions were correlated with transcriptomics (Nephroseq) and relevant protein expression data from the literature. This analysis yielded seventeen proteases, including multiple forms of MMPs, cathepsin D and K, kallikrein 4 and proprotein convertases. The activity of MMP-2 and MMP-9, predicted to be decreased in DN, was investigated using zymography in a DN mouse model confirming the predictions. Collectively, this proof-of-concept study links urine peptidomics to molecular changes at the tissue level, building hypotheses for further investigation in DN and providing a workflow with potential applications to other diseases.

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