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Urine proteomics fo...
Urine proteomics for prediction of disease progression in patients with IgA nephropathy
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- Rudnicki, Michael (författare)
- Department of Internal Medicine IV, Nephrology and Hypertension, Medical University Innsbruck, Innsbruck, Austria
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- Siwy, Justyna (författare)
- Mosaiques Diagnostics GmbH, Hannover, Germany
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- Wendt, Ralph (författare)
- Division of Nephrology, KfH Renal Unit, Hospital St Georg, Leipzig, Germany
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- Lipphardt, Mark (författare)
- Department of Nephrology and Rheumatology, University Medical Centre Göttingen, Göttingen, Germany
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- Koziolek, Michael J (författare)
- Department of Nephrology and Rheumatology, University Medical Centre Göttingen, Göttingen, Germany
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- Maixnerova, Dita (författare)
- Department of Nephrology, 1st School of Medicine, General University Hospital, Charles University, Prague, Czech Republic
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- Peters, Björn, 1978- (författare)
- Umeå universitet,Avdelningen för medicin,Department of Nephrology, Skaraborg Hospital, Skövde, Sweden
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- Kerschbaum, Julia (författare)
- Department of Internal Medicine IV, Nephrology and Hypertension, Medical University Innsbruck, Innsbruck, Austria
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- Leierer, Johannes (författare)
- Department of Internal Medicine IV, Nephrology and Hypertension, Medical University Innsbruck, Innsbruck, Austria
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- Neprasova, Michaela (författare)
- Department of Nephrology, 1st School of Medicine, General University Hospital, Charles University, Prague, Czech Republic
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- Banasik, Miroslaw (författare)
- Department of Nephrology and Transplantation Medicine, Wroclaw Medical University, Wroclaw, Poland
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- Sanz, Ana Belen (författare)
- Research Health Institute, Fundación Jiménez Diáz University, Madrid, Spain
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- Perez-Gomez, Maria Vanessa (författare)
- Research Health Institute, Fundación Jiménez Diáz University, Madrid, Spain
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- Ortiz, Alberto (författare)
- Research Health Institute, Fundación Jiménez Diáz University, Madrid, Spain
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- Stegmayr, Bernd, 1949- (författare)
- Umeå universitet,Avdelningen för medicin
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- Tesar, Vladimir (författare)
- Department of Nephrology, 1st School of Medicine, General University Hospital, Charles University, Prague, Czech Republic
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- Mischak, Harald (författare)
- Mosaiques Diagnostics GmbH, Hannover, Germany
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- Beige, Joachim (författare)
- Division of Nephrology, KfH Renal Unit, Hospital St Georg, Leipzig, Germany; Martin-Luther-University Halle/Wittenberg, Halle/Saale, Germany
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- Reich, Heather N. (författare)
- Department of Medicine, Division of Nephrology, University Health Network, University of Toronto, Toronto, Canada; Nephrology Research, University of Toronto, ON, Toronto, Canada
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(creator_code:org_t)
- 2020-12-14
- 2022
- Engelska.
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Ingår i: Nephrology, Dialysis and Transplantation. - : Oxford University Press. - 0931-0509 .- 1460-2385. ; 37:1, s. 42-52
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Abstract
Ämnesord
Stäng
- Background: 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.Methods: In this multicentre study, urine samples were collected in 209 patients with biopsy-proven IgAN. Progression was defined by tertiles of the annual change of estimated glomerular filtration rate (eGFR) during follow-up. Urine samples were analysed using capillary electrophoresis coupled mass spectrometry. The area under the receiver operating characteristic curve (AUC) was used to evaluate the risk prediction models.Results: Of the 209 patients, 64% were male. Mean age was 42 years, mean eGFR was 63 mL/min/1.73 m2 and median proteinuria was 1.2 g/day. We identified 237 urine peptides showing significant difference in abundance according to the tertile of eGFR change. These included fragments of apolipoprotein C-III, alpha-1 antitrypsin, different collagens, fibrinogen alpha and beta, titin, haemoglobin subunits, sodium/potassium-transporting ATPase subunit gamma, uromodulin, mucin-2, fractalkine, polymeric Ig receptor and insulin. An algorithm based on these protein fragments (IgAN237) showed a significant added value for the prediction of IgAN progression [AUC 0.89; 95% confidence interval (CI) 0.83-0.95], as compared with the clinical parameters (age, gender, proteinuria, eGFR and mean arterial pressure) alone (0.72; 95% CI 0.64-0.81).Conclusions: A urinary peptide classifier predicts progressive loss of kidney function in patients with IgAN significantly better than clinical parameters alone.
Ämnesord
- MEDICIN OCH HÄLSOVETENSKAP -- Klinisk medicin -- Urologi och njurmedicin (hsv//swe)
- MEDICAL AND HEALTH SCIENCES -- Clinical Medicine -- Urology and Nephrology (hsv//eng)
Nyckelord
- biomarker
- glomerulonephritis
- IgAN
- progression
- urine proteomics
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Rudnicki, Michae ...
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Siwy, Justyna
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Wendt, Ralph
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Lipphardt, Mark
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Koziolek, Michae ...
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Maixnerova, Dita
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visa fler...
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Peters, Björn, 1 ...
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Kerschbaum, Juli ...
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Leierer, Johanne ...
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Neprasova, Micha ...
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Banasik, Mirosla ...
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Sanz, Ana Belen
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Perez-Gomez, Mar ...
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Ortiz, Alberto
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Stegmayr, Bernd, ...
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Tesar, Vladimir
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Mischak, Harald
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Beige, Joachim
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Reich, Heather N ...
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