Dynamics of urine proteomics biomarker and disease progression in patients with IgA nephropathyShow others and affiliations
2023 (English)In: Nephrology, Dialysis and Transplantation, ISSN 0931-0509, E-ISSN 1460-2385, Vol. 38, no 12, p. 2826-2834Article in journal (Refereed) Published
Abstract [en]
Background: Immunoglobulin A nephropathy (IgAN) frequently leads to kidney failure. The urinary proteomics-based classifier IgAN237 may predict disease progression at the time of kidney biopsy. We studied whether IgAN237 also predicts progression later in the course of IgAN.
Methods: Urine from patients with biopsy-proven IgAN was analyzed using capillary electrophoresis-mass spectrometry at baseline (IgAN237-1, n = 103) and at follow-up (IgAN237-2, n = 89). Patients were categorized as "non-progressors" (IgAN237 ≤0.38) and "progressors" (IgAN237 >0.38). Estimated glomerular filtration rate (eGFR) and urinary albumin-creatinine ratio slopes were calculated.
Results: Median age at biopsy was 44 years, interval between biopsy and IgAN237-1 was 65 months and interval between IgAN237-1 and IgAN237-2 was 258 days (interquartile range 71-531). IgAN237-1 and IgAN237-2 values did not differ significantly and were correlated (rho = 0.44, P < .001). Twenty-eight percent and 26% of patients were progressors based on IgAN237-1 and IgAN237-2, respectively. IgAN237 inversely correlated with chronic eGFR slopes (rho = -0.278, P = .02 for score-1; rho = -0.409, P = .002 for score-2) and with ±180 days eGFR slopes (rho = -0.31, P = .009 and rho = -0.439, P = .001, respectively). The ±180 days eGFR slopes were worse for progressors than for non-progressors (median -5.98 versus -1.22 mL/min/1.73 m2 per year for IgAN237-1, P < .001; -3.02 vs 1.08 mL/min/1.73 m2 per year for IgAN237-2, P = .0047). In multiple regression analysis baseline progressor/non-progressor according to IgAN237 was an independent predictor of eGFR180days-slope (P = .001).
Conclusion: The urinary IgAN237 classifier represents a risk stratification tool in IgAN also later in the course of the dynamic disease. It may guide patient management in an individualized manner.
Place, publisher, year, edition, pages
Oxford University Press, 2023. Vol. 38, no 12, p. 2826-2834
Keywords [en]
biomarker, CKD, glomerulonephritis, IgA nephropathy, progression, urine proteomics
National Category
Clinical Medicine
Identifiers
URN: urn:nbn:se:umu:diva-218129DOI: 10.1093/ndt/gfad125ISI: 001023602500001PubMedID: 37349951Scopus ID: 2-s2.0-85178650918OAI: oai:DiVA.org:umu-218129DiVA, id: diva2:1819977
Funder
Swedish Research Council, 2018-05615European Commission2023-12-152023-12-152025-02-18Bibliographically approved