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Urinary Proteomics in Diabetes and CKD
Open accessAbstract
Urinary biomarkers for diabetes, diabetic nephropathy, and nondiabetic proteinuric renal diseases were sought. For 305 individuals, biomarkers were defined and validated in blinded data sets using high-resolution capillary electrophoresis coupled with electrospray-ionization mass spectrometry. A panel of 40 biomarkers distinguished patients with diabetes from healthy individuals with 89% sensitivity and 91% specificity. Among patients with diabetes, 102 urinary biomarkers differed significantly between patients with normoalbuminuria and nephropathy, and a model that included 65 of these correctly identified diabetic nephropathy with 97% sensitivity and specificity. Furthermore, this panel of biomarkers identified patients who had microalbuminuria and diabetes and progressed toward overt diabetic nephropathy over 3 yr. Differentiation between diabetic nephropathy and other chronic renal diseases reached 81% sensitivity and 91% specificity. Many of the biomarkers were fragments of collagen type I, and quantities were reduced in patients with diabetes or diabetic nephropathy. In conclusion, this study shows that analysis of the urinary proteome may allow early detection of diabetic nephropathy and may provide prognostic information.
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Cites
Peptide and protein sequence analysis by electron transfer dissociation mass spectrometry
Syka, J. E. P., Coon, J. J., Schroeder, M. J., Shabanowitz, J., & Hunt, D. F. (2004) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0402700101 · Cited by 2,370
Self-citationReceiver-operating characteristic analysis for evaluating diagnostic tests and predictive models
Zou, K. H., O’Malley, A. J., & Mauri, L. (2007) · Circulation · doi:10.1161/circulationaha.105.594929 · Cited by 1,473
Cited by
Thomas, M. C., Brownlee, M., Susztak, K., Sharma, K., Jandeleit-Dahm, K. A. M., Zoungas, S., Rossing, P., Groop, P.-H., & Cooper, M. E. (2015) · Nature Reviews Disease Primers · doi:10.1038/nrdp.2015.18 · Cited by 1,230
Self-citationGenovese, F., Manresa, A. A., Leeming, D. J., Karsdal, M. A., & Boor, P. (2014) · Fibrogenesis & Tissue Repair · doi:10.1186/1755-1536-7-4 · Cited by 337
Recommendations for Biomarker Identification and Qualification in Clinical Proteomics
Mischak, H., Allmaier, G., Apweiler, R., Attwood, T., Baumann, M., Benigni, A., Bennett, S. E., Bischoff, R., Bongcam-Rudloff, E., Capasso, G., et al. (2010) · Science Translational Medicine · doi:10.1126/scitranslmed.3001249 · Cited by 334
Self-citationQuantitative Urinary Proteome Analysis for Biomarker Evaluation in Chronic Kidney Disease
Jantos-Siwy, J., Schiffer, E., Brand, K., Schumann, G., Rossing, K., Delles, C., Mischak, H., & Metzger, J. (2009) · Journal of Proteome Research · doi:10.1021/pr800401m · Cited by 259
Self-citationMischak, H., Coon, J. J., Novak, J., Weissinger, E. M., Schanstra, J. P., & Dominiczak, A. F. (2009) · Mass Spectrometry Reviews · doi:10.1002/mas.20205 · Cited by 193
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Metadata
- Authors
- Rossing, K., Mischak, H., Dakna, M., Zürbig, P., Novak, J., Julian, B. A., Good, D. M., Coon, J. J., Tarnow, L., & Rossing, P.
- Venue
- Journal of the American Society of Nephrology
- Published
- 2008-07
- Volume
- 19
- Issue
- 7
- Pages
- 1283-1290
- ISSN
- 1046-6673 (ISSN-L)
- OpenAlex
- W2105130711
- Cited by
- 283
- References
- 2
- FWCI
- 26.16
- Type
- journal article
- Language
- en
- Open access
- green
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- Rossing, K., Mischak, H., Dakna, M., Zürbig, P., Novak, J., Julian, B. A., Good, D. M., Coon, J. J., Tarnow, L., & Rossing, P. (2008). Urinary Proteomics in Diabetes and CKD. Journal of the American Society of Nephrology. https://doi.org/10.1681/asn.2007091025
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