Dataset Information

Urine proteomics in IgA nephropathy

ABSTRACT: we aimed at developing a urinary biomarker-based algorithm that predicts rapid disease progression in IgAN, thus enabling a personalized risk stratification.

INSTRUMENT(S): micrOTOF II

ORGANISM(S): Homo Sapiens (human)

TISSUE(S): Urine

DISEASE(S): Iga Glomerulonephritis

SUBMITTER: Martin Pejchinovski

LAB HEAD: Martin Pejchinovski

PROVIDER: PXD020288 | Pride | 2022-02-15

REPOSITORIES: Pride

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Publications

Urine proteomics for prediction of disease progression in patients with IgA nephropathy.

Rudnicki Michael M Siwy Justyna J Wendt Ralph R Lipphardt Mark M Koziolek Michael J MJ Maixnerova Dita D Peters Björn B Kerschbaum Julia J Leierer Johannes J Neprasova Michaela M Banasik Miroslaw M Sanz Ana Belen AB Perez-Gomez Maria Vanessa MV Ortiz Alberto A Stegmayr Bernd B Tesar Vladimir V Mischak Harald H Beige Joachim J Reich Heather N HN

Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association 20211201 1

<h4>Background</h4>Risk of kidney function decline in immunoglobulin A (IgA) nephropathy (IgAN) is significant and may not be predicted by available clinical and histological tools. To serve this unmet need, we aimed at developing a urinary biomarker-based algorithm that predicts rapid disease progression in IgAN, thus enabling a personalized risk stratification.<h4>Methods</h4>In this multicentre study, urine samples were collected in 209 patients with biopsy-proven IgAN. Progression was define ...[more]

PMID: 33313853

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Dataset Information

Urine proteomics in IgA nephropathy

Publications

Urine proteomics for prediction of disease progression in patients with IgA nephropathy.

Similar Datasets

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