Evidence map›Paper›PMID 19564150›Full record

ArticleMolecular & cellular proteomics : MCP2009

Identification and validation of urinary biomarkers for differential diagnosis and evaluation of therapeutic intervention in anti-neutrophil cytoplasmic antibody-associated vasculitis.

Marion Haubitz, David M Good, Alexander Woywodt, Hermann Haller, Harald Rupprecht, Dan Theodorescu, Mohammed Dakna, Joshua J Coon, Harald Mischak

Open access · hybridAbstract read
In one paragraph

Article in Molecular & cellular proteomics : MCP, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 54 papers.

0numbers the graph read from it
0cells of the map it votes in
54citing papers in PubMed
7.9field-weighted citation impact, top 2% of its field
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

54 citing papers in PubMed, 111 citations in OpenAlex.

  1. Diagnosis and Prediction of CKD Progression by Assessment of Urinary Peptides.Journal of the American Society of Nephrology : JASN · 2015
    Trial
  2. Trial
  3. Multicentre prospective validation of a urinary peptidome-based classifier for the diagnosis of type 2 diabetic nephropathy.Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association · 2014
    Trial
  4. Article
  5. Article
  6. Review
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  9. Endotrophin, a collagen type VI-derived matrikine, reflects the degree of renal fibrosis in patients with IgA nephropathy and in patients with ANCA-associated vasculitis.Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association · 2022
    Article
  10. Article
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  12. Article
  13. Urine proteomics for prediction of disease progression in patients with IgA nephropathy.Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association · 2021
    Article
  14. Article
  15. Article
  16. Article
  17. Review
  18. Article
  19. Noninvasive diagnosis of chronic kidney diseases using urinary proteome analysis.Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association · 2017
    Article
  20. Novel Urinary Peptidomic Classifier Predicts Incident Heart Failure.Journal of the American Heart Association · 2017
    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

9 authors at 6 institutions in 2 countries.

Marion HaubitzDepartment of Nephrology, Hannover Medical School, D-30625 Hannover, Germany. Haubitz.Marion@MH-Hannover.de
David M Good
Alexander Woywodt
Hermann Haller
Harald Rupprecht
Dan Theodorescu
Mohammed Dakna
Joshua J Coon
Harald Mischak
University of Wisconsin–Madison · USMosaiques Diagnostics and Therapeutics (Germany) · DELudwig-Maximilians-Universität München · DEMedizinische Hochschule Hannover · DEUniversity of Virginia · USUniversity of Wisconsin System · US

Funding

BIOTECHNOLOGY TRAINING PROGRAMT32GM008349 · NIGMS · UNIVERSITY OF WISCONSIN-MADISON · PI FOX, BRIAN G · 1989 to 2019
$22.5M
NIGMS NIH HHS 5T32GM08349NIGMS NIH HHS T32 GM008349
6 · The paper itself

Abstract

Renal activity and smoldering disease is difficult to assess in anti-neutrophil cytoplasmic antibody-associated vasculitis (AAV) because of renal scarring. Even repeated biopsies suffer from sampling errors in this focal disease especially in patients with chronic renal insufficiency. We applied capillary electrophoresis coupled to mass spectrometry toward urine samples from patients with active renal AAV to identify and validate urinary biomarkers that enable differential diagnosis of disease and assessment of disease activity. The data were compared with healthy individuals, patients with other renal and non-renal diseases, and patients with AAV in remission. 113 potential biomarkers were identified that differed significantly between active renal AAV and healthy individuals and patients with other chronic renal diseases. Of these, 58 could be sequenced. Sensitivity and specificity of models based on 18 sequenced biomarkers were validated using blinded urine samples of 40 patients with different renal diseases. Discrimination of AAV from other renal diseases in blinded samples was possible with 90% sensitivity and 86.7-90% specificity depending on the model. 10 patients with active AAV were followed for 6 months after initiation of treatment. Immunosuppressive therapy led to a change of the proteome toward "remission." 47 biomarkers could be sequenced that underwent significant changes during therapy together with regression of clinical symptoms, normalization of C-reactive protein, and improvement of renal function. Proteomics analysis with capillary electrophoresis-MS represents a promising tool for fast identification of patients with active AAV, indication of renal relapses, and monitoring for ongoing active renal disease and remission without renal biopsy.

Indexed as

AdultAnti-Neutrophil Cytoplasmic Antibody-Associated VasculitisArea Under CurveBiomarkersDiagnosis, DifferentialFemaleHumansKidneyMaleMiddle AgedProteinsProteomeRemission InductionReproducibility of ResultsTreatment OutcomeYoung AdultBiomarkersProteinsProteome

Identifiers

PMID19564150
PMCPMC2758757
OpenAlexW2061202064

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.