Renal disease in patients with Type II diabetes is the leading cause of terminal renal failure and a major healthcare problem. Hence early identification of patients prone to develop this complication is important. Diabetic renal damage should be reflected by a change in urinary polypeptide excretion at a very early stage. To analyse these changes, we used an online combination of CE/MS (capillary electrophoresis coupled with MS), allowing fast and accurate evaluation of up to 2000 polypeptides in urine. Employing this technology, we have examined urine samples from 39 healthy individuals and from 112 patients with Type II diabetes mellitus and different degrees of albumin excretion rate. We established a ‘normal’ polypeptide pattern in the urine of healthy subjects. In patients with Type II diabetes and normal albumin excretion rate, the polypeptide pattern in urine differed significantly from normal, indicating a specific ‘diabetic’ pattern of polypeptide excretion. In patients with higher grade albuminuria, we were able to detect a polypeptide pattern indicative of ‘diabetic renal damage’. We also found this pattern in 35% of those patients who had low-grade albuminuria and in 4% of patients with normal albumin excretion. Moreover, we could identify several of the indicative polypeptides using MS/MS sequencing. We conclude that proteomic analysis with CE/MS permits fast and accurate identification and differentiation of polypeptide patterns in urine. Longitudinal studies should explore the potential of this powerful diagnostic tool for early detection of diabetic renal damage.
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November 2004
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Research Article|
October 26 2004
Proteomic analysis for the assessment of diabetic renal damage in humans
Harald MISCHAK;
Harald MISCHAK
*Mosaiques Diagnostics and Therapeutics AG, Hannover, Germany
†Department of Internal Medicine, Medical School Hannover, Hannover, Germany
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Thorsten KAISER;
Thorsten KAISER
*Mosaiques Diagnostics and Therapeutics AG, Hannover, Germany
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Michael WALDEN;
Michael WALDEN
*Mosaiques Diagnostics and Therapeutics AG, Hannover, Germany
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Meike HILLMANN;
Meike HILLMANN
*Mosaiques Diagnostics and Therapeutics AG, Hannover, Germany
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Stefan WITTKE;
Stefan WITTKE
*Mosaiques Diagnostics and Therapeutics AG, Hannover, Germany
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Alena HERRMANN;
Alena HERRMANN
†Department of Internal Medicine, Medical School Hannover, Hannover, Germany
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Stefan KNUEPPEL;
Stefan KNUEPPEL
†Department of Internal Medicine, Medical School Hannover, Hannover, Germany
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Hermann HALLER;
Hermann HALLER
†Department of Internal Medicine, Medical School Hannover, Hannover, Germany
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Danilo FLISER
†Department of Internal Medicine, Medical School Hannover, Hannover, Germany
Correspondence: Dr Danilo Fliser (email [email protected]).
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Publisher: Portland Press Ltd
Received:
April 05 2004
Revision Received:
June 04 2004
Accepted:
July 28 2004
Accepted Manuscript online:
July 28 2004
Online ISSN: 1470-8736
Print ISSN: 0143-5221
The Biochemical Society
2004
Clin Sci (Lond) (2004) 107 (5): 485–495.
Article history
Received:
April 05 2004
Revision Received:
June 04 2004
Accepted:
July 28 2004
Accepted Manuscript online:
July 28 2004
Citation
Harald MISCHAK, Thorsten KAISER, Michael WALDEN, Meike HILLMANN, Stefan WITTKE, Alena HERRMANN, Stefan KNUEPPEL, Hermann HALLER, Danilo FLISER; Proteomic analysis for the assessment of diabetic renal damage in humans. Clin Sci (Lond) 1 November 2004; 107 (5): 485–495. doi: https://doi.org/10.1042/CS20040103
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