Evidence mapPaperPMID 41752115Full record

ArticleInternational journal of molecular sciences2026

Association of Urinary Complement Peptides with Kidney Function and Progression of Kidney Disease.

Thi Minh Nghia Nguyen, Margarita Kondyli, Harald Mischak, Felix Keller, Joachim Beige, Agnieszka Latosinska, Justyna Siwy

Abstract read
In one paragraph

Article in International journal of molecular sciences, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Thi Minh Nghia NguyenMosaiques Diagnostics GmbH, 30659 Hannover, Germany.ORCID 0000-0002-9569-1670
Margarita KondyliMosaiques Diagnostics GmbH, 30659 Hannover, Germany.ORCID 0009-0002-9840-5542
Harald MischakMosaiques Diagnostics GmbH, 30659 Hannover, Germany.ORCID 0000-0003-0323-0306
Felix KellerDepartment of Internal Medicine IV (Nephrology and Hypertension), Medical University of Innsbruck, Anich St. 35, 6020 Innsbruck, Austria.ORCID 0000-0002-8240-7255
Joachim BeigeKuratorium for Dialysis and Transplantation (KfH), 63263 Neu-Isenburg, Germany.
Agnieszka LatosinskaMosaiques Diagnostics GmbH, 30659 Hannover, Germany.ORCID 0000-0001-8917-2412
Justyna SiwyMosaiques Diagnostics GmbH, 30659 Hannover, Germany.ORCID 0000-0003-1407-2534

Funding

Bundesministerium für Forschung, Technologie und Raumfahrt 01EK2105Bundesministerium für Forschung, Technologie und Raumfahrt 01EK2105CBundesministerium für Forschung, Technologie und Raumfahrt 01KU2307Bundesministerium für Wirtschaft und Energie ZIM-KK5560002AP3European Cooperation in Science and Technology CA21165FWF Austrian Science Fund DOI10.55776/I6464
6 · The paper itself

Abstract

Complement activation has been implicated in many kidney diseases, but it remains unclear whether urinary complement-derived peptides reflect kidney function beyond albuminuria and predict disease progression. We analyzed mass spectrometry-based urinary peptidomics data from 10,939 individuals with chronic kidney disease and healthy controls. Fifty-eight complement-derived peptides were identified, predominantly from complement factor B (CFB) and C3. Of these, fifty-two were significantly related to estimated glomerular filtration rate (eGFR) independently of albuminuria, mostly inversely. Several C3- and CFB-derived peptides were also associated with specific kidney disease etiologies. In a longitudinal analysis of 3964 individuals (median follow-up 2.91 years), 18 of these peptides were significantly related to a major adverse kidney event (MAKE, defined as ≥40% eGFR decline, end-stage kidney disease or death) after adjustment for clinical covariates, indicating prognostic information beyond traditional risk markers. In the independent test cohort, combining these peptides in a machine learning-based model and adding the resulting risk score to clinical parameters significantly improved MAKE prediction (AUC 0.801 vs. 0.778,

Indexed as

Complement C3Complement Factor BComplement System ProteinsKidneyKidney DiseasesPeptidesRenal Insufficiency, ChronicAgedBiomarkersDisease ProgressionFemaleGlomerular Filtration RateHumansMaleMiddle AgedProteomicsBiomarkersComplement C3Complement Factor BComplement System ProteinsPeptidesbiomarkerCE-MScomplementkidney diseasepeptidepersonalized therapyproteomicsurine

Identifiers

PMID41752115
PMCPMC12940597

What Socratic 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 Socratic graph.