Evidence map›Paper›PMID 41607418›Full record

ArticleClinical kidney journal2025

Serum proteome analysis detects early molecular signatures of disease progression in IgA nephropathy.

Tony Jialiang Chen, Eleni Skandalou, Katarina Fritz-Wallace, Terje Apeland, Thomas Knoop, Hans-Peter Marti, Øystein Eikrem, Jessica Furriol

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Article in Clinical kidney journal, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Tony Jialiang ChenDepartment of Clinical Medicine, Faculty of Medicine, University of Bergen, Bergen, Norway.
Eleni SkandalouDepartment of Clinical Medicine, Faculty of Medicine, University of Bergen, Bergen, Norway.
Katarina Fritz-WallaceDepartment of Biomedicine, University of Bergen, Bergen, Norway.
Terje ApelandDepartment of Medicine, Stavanger University Hospital, Stavanger, Norway.ORCID https://orcid.org/0000-0002-7150-9416
Thomas KnoopDepartment of Internal Medicine, Haukeland University Hospital, Bergen, Norway.
Hans-Peter MartiDepartment of Clinical Medicine, Faculty of Medicine, University of Bergen, Bergen, Norway.
Øystein EikremDepartment of Clinical Medicine, Faculty of Medicine, University of Bergen, Bergen, Norway.
Jessica FurriolDepartment of Clinical Medicine, Faculty of Medicine, University of Bergen, Bergen, Norway.ORCID https://orcid.org/0000-0002-8842-534X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Immunoglobulin A nephropathy (IgAN) is a common cause of chronic kidney disease (CKD) and identifying early molecular signatures is crucial for IgAN risk stratification and timely intervention. In this study we used serum proteomics to investigate molecular differences between IgAN patients who progressed and those who remained stable before separation in kidney function became apparent. Methods: Serum samples from 40 adults with biopsy-proven IgAN were analysed and classified as progressors (PRs; Results: Fifty-two proteins showed a significant differential abundance between PRs and NPs. Enrichment analysis revealed dysregulation in complement cascade, extracellular matrix signalling and renin-angiotensin system in PRs compared with NPs. Finally, the random forest model on this protein set achieved an accuracy of 85.0% and identified NCAM1, F7, ARG1, CLU and ANXA5 among the most important predictors. Conclusions: Serum proteomic profiling identified early molecular differences between PR and NP IgAN patients. These findings support the utility of serum proteomics for early risk stratification in IgAN.

Indexed as

cell adhesioncomplement-coagulation systemdisease progression predictionIgA nephropathyproteomics

Identifiers

PMID41607418
PMCPMC12836095

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