Evidence map›Paper›PMID 41874429›Full record

ArticleNephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association2026

Novel protein biomarkers for risk stratification and personalized medicine.

Erik Moedt, Wenjun Ju, Viji Nair, Petter Bjornstad, Matthias Kretzler, Hiddo J L Heerspink

Abstract read
In one paragraph

Article in Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Trial
  2. Reconsidering the measurement of urinary proteins in chronic kidney disease: towards a global consensus on albuminuria assessment.Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association · 2026
    Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Erik MoedtDepartment of Clinical Pharmacy and Pharmacology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.ORCID 0009-0003-3983-5136
Wenjun JuDivision of Nephrology, Department of Internal Medicine, University of Michigan, Ann Arbor, MI, USA.
Viji NairDivision of Nephrology, Department of Internal Medicine, University of Michigan, Ann Arbor, MI, USA.
Petter BjornstadDivision of Metabolism, Endocrinology and Nutrition, Department of Medicine, University of Washington School of Medicine, Seattle, WA, USA.
Matthias KretzlerDivision of Nephrology, Department of Internal Medicine, University of Michigan, Ann Arbor, MI, USA.
Hiddo J L HeerspinkDepartment of Clinical Pharmacy and Pharmacology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.ORCID 0000-0002-3126-3730

Funding

European Union 101095146STADAPHARM GmbH
6 · The paper itself

Abstract

background and hypothesisAlbuminuria is widely used to monitor chronic kidney disease (CKD) and treatment response but is subject to variability and primarily reflects glomerular injury. Urinary clusterin and epidermal growth factor (uEGF) are associated with tubular injury and repair, respectively, and may serve as mechanism-informed pharmacodynamic biomarkers. We investigated responses of urinary clusterin and uEGF to endothelin receptor antagonists (ERAs) and sodium-glucose cotransporter 2 inhibitors (SGLT2i), respectively, in CKD.

methodsWe evaluated changes in urinary clusterin-to-creatinine ratio (uCLU/Cr) and uEGF-to-creatinine ratio (uEGF/Cr) in two randomized CKD trial populations. Effects of ERA on uCLU/Cr and endothelin-1 (ET-1) were assessed during the atrasentan enrichment phase of SONAR (Study of Diabetic Nephropathy with Atrasentan), and effects of SGLT2i on uEGF/Cr were examined in DAPA-CKD (Dapagliflozin and Prevention of Adverse Outcomes in Chronic Kidney Disease) across different CKD etiologies, diabetes status, and glycemic control. Associations between uEGF/Cr and intrarenal EGF messenger RNA (mRNA) expression were examined using kidney biopsy single-cell RNA sequencing data.

resultsAfter 6 weeks of treatment with atrasentan, uCLU/Cr decreased by 46.3% (95% confidence interval [CI]: -57.8 to -37.1), while serum ET-1 increased by 23.4% (95% CI 19.2-27.4). There were no effects on serum clusterin and only a numerical decrease in urinary ET-1. Baseline uCLU/Cr correlated significantly with urinary ET-1 (Pearson r = 0.65, P < .0001). In DAPA-CKD, dapagliflozin attenuated the decline in uEGF/Cr over 1 year, with heterogeneity across CKD etiologies. Relative increases were greatest in diabetic kidney disease and absent in glomerulonephritis and hypertensive nephropathy. Similarly, effects were larger in those with type 2 diabetes and higher baseline HbA1c. Tubular EGF mRNA expression correlated positively with uEGF/Cr.

conclusionsUrinary clusterin and uEGF are mechanism-informed pharmacodynamic biomarkers reflecting distinct intrarenal pathways engaged by ERA and SGLT2i therapy, respectively. These biomarkers complement albuminuria by capturing tubular injury and repair, providing a more comprehensive biological assessment of treatment effects and heterogeneity in CKD.

Indexed as

BiomarkersClusterinEpidermal Growth FactorPrecision MedicineRenal Insufficiency, ChronicAtrasentanCreatinineFemaleFollow-Up StudiesGlomerular Filtration RateHumansMalePrognosisRandomized Controlled Trials as TopicRisk AssessmentAtrasentanBiomarkersClusterinCreatinineEpidermal Growth Factoralbuminuriachronic kidney diseaseclusterinendothelinepidermal growth factor

Identifiers

PMID41874429
PMCPMC13503111

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.