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Review
. 2016 Nov;25(6):494-501.
doi: 10.1097/MNH.0000000000000278.

Urinary proteomics using capillary electrophoresis coupled to mass spectrometry for diagnosis and prognosis in kidney diseases

Affiliations
Review

Urinary proteomics using capillary electrophoresis coupled to mass spectrometry for diagnosis and prognosis in kidney diseases

Pedro Magalhães et al. Curr Opin Nephrol Hypertens. 2016 Nov.

Abstract

Purpose of review: Urine is the most useful of body fluids for biomarker research. Therefore, we have focused on urinary proteomics, using capillary electrophoresis coupled to mass spectrometry, to investigate kidney diseases in recent years.

Recent findings: Several urinary proteomics studies for the detection of various kidney diseases have indicated the potential of this approach aimed at diagnostic and prognostic assessment. Urinary protein biomarkers such as collagen fragments, serum albumin, α-1-antitrypsin, and uromodulin can help to explain the processes involved during disease progression.

Summary: Urinary proteomics has been used in several studies in order to identify and validate biomarkers associated with different kidney diseases. These biomarkers, with improved sensitivity and specificity when compared with the current gold standards, provide a significant alternative for diagnosis and prognosis, as well as improving clinical decision-making.

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Conflict of interest statement

Conflict of interest

H.M. is cofounder and a shareholder of mosaiques diagnostics GmbH. P.M. and P.Z. are employees of mosaiques diagnostics GmbH.

Figures

Figure 1
Figure 1
Overview of the different kidney diseases, which were successfully investigated in the context of clinical urinary proteome analysis. The arrows pointed out in which area of the renal system the disease appears. Abbreviations: ADPKD - autosomal dominant polycystic kidney disease; DN – diabetic nephropathy; FIKD – Fabry induced kidney disease; FSGS - focal segmental glomerulosclerosis; IgAN – IgA nephropathy; LN – lupus nephrithis; MCD – minimal changed disease; MGN - membranous glomerulonephritis; PUV - posterior urethral valves; UPJO - ureteropelvic junction obstruction; vasculitis - ANCA-associated vasculitis.
Figure 2
Figure 2
Schematic depiction of the reviewed studies evaluating the performance of the CKD273-classifier in diagnosis and prognosis of CKD according to disease stage. The bars shows the CKD stages of the in the study included patients. Figure adapted from Critselis et al. (35).

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