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Urinary Proteomics for Early Diagnosis in Diabetic Nephropathy
Diabetic nephropathy (DN) is a progressive kidney disease, a well-known complication of long-standing diabetes. DN is the most frequent reason for dialysis in many Western countries. Early detection may enable development of specific drugs and early initiation of therapy, thereby postponing/preventi...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Diabetes Association
2012
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3501878/ https://www.ncbi.nlm.nih.gov/pubmed/22872235 http://dx.doi.org/10.2337/db12-0348 |
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author | Zürbig, Petra Jerums, George Hovind, Peter MacIsaac, Richard J. Mischak, Harald Nielsen, Stine E. Panagiotopoulos, Sianna Persson, Frederik Rossing, Peter |
author_facet | Zürbig, Petra Jerums, George Hovind, Peter MacIsaac, Richard J. Mischak, Harald Nielsen, Stine E. Panagiotopoulos, Sianna Persson, Frederik Rossing, Peter |
author_sort | Zürbig, Petra |
collection | PubMed |
description | Diabetic nephropathy (DN) is a progressive kidney disease, a well-known complication of long-standing diabetes. DN is the most frequent reason for dialysis in many Western countries. Early detection may enable development of specific drugs and early initiation of therapy, thereby postponing/preventing the need for renal replacement therapy. We evaluated urinary proteome analysis as a tool for prediction of DN. Capillary electrophoresis–coupled mass spectrometry was used to profile the low–molecular weight proteome in urine. We examined urine samples from a longitudinal cohort of type 1 and 2 diabetic patients (n = 35) using a previously generated chronic kidney disease (CKD) biomarker classifier to assess peptides of collected urines for signs of DN. The application of this classifier to samples of normoalbuminuric subjects up to 5 years prior to development of macroalbuminuria enabled early detection of subsequent progression to macroalbuminuria (area under the curve [AUC] 0.93) compared with urinary albumin routinely used to determine the diagnosis (AUC 0.67). Statistical analysis of each urinary CKD biomarker depicted its regulation with respect to diagnosis of DN over time. Collagen fragments were prominent biomarkers 3–5 years before onset of macroalbuminuria. Before albumin excretion starts to increase, there is a decrease in collagen fragments. Urinary proteomics enables noninvasive assessment of DN risk at an early stage via determination of specific collagen fragments. |
format | Online Article Text |
id | pubmed-3501878 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | American Diabetes Association |
record_format | MEDLINE/PubMed |
spelling | pubmed-35018782013-12-01 Urinary Proteomics for Early Diagnosis in Diabetic Nephropathy Zürbig, Petra Jerums, George Hovind, Peter MacIsaac, Richard J. Mischak, Harald Nielsen, Stine E. Panagiotopoulos, Sianna Persson, Frederik Rossing, Peter Diabetes Genetics/Genomes/Proteomics/Metabolomics Diabetic nephropathy (DN) is a progressive kidney disease, a well-known complication of long-standing diabetes. DN is the most frequent reason for dialysis in many Western countries. Early detection may enable development of specific drugs and early initiation of therapy, thereby postponing/preventing the need for renal replacement therapy. We evaluated urinary proteome analysis as a tool for prediction of DN. Capillary electrophoresis–coupled mass spectrometry was used to profile the low–molecular weight proteome in urine. We examined urine samples from a longitudinal cohort of type 1 and 2 diabetic patients (n = 35) using a previously generated chronic kidney disease (CKD) biomarker classifier to assess peptides of collected urines for signs of DN. The application of this classifier to samples of normoalbuminuric subjects up to 5 years prior to development of macroalbuminuria enabled early detection of subsequent progression to macroalbuminuria (area under the curve [AUC] 0.93) compared with urinary albumin routinely used to determine the diagnosis (AUC 0.67). Statistical analysis of each urinary CKD biomarker depicted its regulation with respect to diagnosis of DN over time. Collagen fragments were prominent biomarkers 3–5 years before onset of macroalbuminuria. Before albumin excretion starts to increase, there is a decrease in collagen fragments. Urinary proteomics enables noninvasive assessment of DN risk at an early stage via determination of specific collagen fragments. American Diabetes Association 2012-12 2012-11-15 /pmc/articles/PMC3501878/ /pubmed/22872235 http://dx.doi.org/10.2337/db12-0348 Text en © 2012 by the American Diabetes Association. Readers may use this article as long as the work is properly cited, the use is educational and not for profit, and the work is not altered. See http://creativecommons.org/licenses/by-nc-nd/3.0/ for details. |
spellingShingle | Genetics/Genomes/Proteomics/Metabolomics Zürbig, Petra Jerums, George Hovind, Peter MacIsaac, Richard J. Mischak, Harald Nielsen, Stine E. Panagiotopoulos, Sianna Persson, Frederik Rossing, Peter Urinary Proteomics for Early Diagnosis in Diabetic Nephropathy |
title | Urinary Proteomics for Early Diagnosis in Diabetic Nephropathy |
title_full | Urinary Proteomics for Early Diagnosis in Diabetic Nephropathy |
title_fullStr | Urinary Proteomics for Early Diagnosis in Diabetic Nephropathy |
title_full_unstemmed | Urinary Proteomics for Early Diagnosis in Diabetic Nephropathy |
title_short | Urinary Proteomics for Early Diagnosis in Diabetic Nephropathy |
title_sort | urinary proteomics for early diagnosis in diabetic nephropathy |
topic | Genetics/Genomes/Proteomics/Metabolomics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3501878/ https://www.ncbi.nlm.nih.gov/pubmed/22872235 http://dx.doi.org/10.2337/db12-0348 |
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