Evidence map›Paper›PMID 24498182›Full record

ArticlePloS one2014

Urinary peptide profiling to differentiate between minimal change disease and focal segmental glomerulosclerosis.

Vanessa Pérez, Meritxell Ibernón, Dolores López, María Cruz Pastor, Maruja Navarro, Maribel Navarro-Muñoz, Josep Bonet, Ramón Romero

Abstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Trial
  2. Review
  3. Article
  4. Peptidome Profiling ofAntibiotics (Basel, Switzerland) · 2024
    Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Recurrent andFrontiers in immunology · 2019
    Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. 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

8 authors.

Vanessa PérezDepartment of Nephrology, Hospital Universitari Germans Trias i Pujol, Universitat Autònoma de Barcelona, Esfera UAB, Badalona, Spain ; Laboratory of Experimental Nephrology, Institut d'Investigació en Ciències de la Salut Germans Trias i Pujol, Universitat Autònoma de Barcelona, Esfera UAB, Badalona, Spain.
Meritxell IbernónDepartment of Nephrology, Hospital Universitari Germans Trias i Pujol, Universitat Autònoma de Barcelona, Esfera UAB, Badalona, Spain.
Dolores LópezDepartment of Pathology, Hospital Universitari Germans Trias i Pujol, Universitat Autònoma de Barcelona, Esfera UAB, Badalona, Spain.
María Cruz PastorDepartment of Clinical Biochemistry, Hospital Universitari Germans Trias i Pujol, Universitat Autònoma de Barcelona, Esfera UAB, Badalona, Spain.
Maruja NavarroDepartment of Nephrology, Hospital Universitari Germans Trias i Pujol, Universitat Autònoma de Barcelona, Esfera UAB, Badalona, Spain.
Maribel Navarro-MuñozDepartment of Nephrology, Hospital Universitari Germans Trias i Pujol, Universitat Autònoma de Barcelona, Esfera UAB, Badalona, Spain ; Laboratory of Experimental Nephrology, Institut d'Investigació en Ciències de la Salut Germans Trias i Pujol, Universitat Autònoma de Barcelona, Esfera UAB, Badalona, Spain.
Josep BonetDepartment of Nephrology, Hospital Universitari Germans Trias i Pujol, Universitat Autònoma de Barcelona, Esfera UAB, Badalona, Spain.
Ramón RomeroDepartment of Nephrology, Hospital Universitari Germans Trias i Pujol, Universitat Autònoma de Barcelona, Esfera UAB, Badalona, Spain ; Laboratory of Experimental Nephrology, Institut d'Investigació en Ciències de la Salut Germans Trias i Pujol, Universitat Autònoma de Barcelona, Esfera UAB, Badalona, Spain ; Department of Medicine, Universitat Autònoma de Barcelona, Esfera UAB, Badalona, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMinimal change disease (MCD) and primary focal segmental glomerulosclerosis (FSGS) are the main causes of primary idiopathic nephrotic syndrome in children and adults, with diagnosis being essential for the appropriate choice of therapy and requiring renal biopsy. However, the presence of only normal glomeruli on renal biopsy of FSGS patients may lead to the misclassification of these patients as having MCD. The aim of this study was to (i) compare the peptide profile of MCD and FSGS patients with that of a group of healthy subjects, (ii) generate and validate a class prediction model to classify MCD and FSGS patients and (ii) identify candidate biomarkers of these glomerular entities by analysis of the urinary peptidome.

methodsThe urinary peptide profile was analyzed by magnetic bead-based technology combined with MALDI-TOF mass spectrometry in 44 patients diagnosed of MCD (n = 22) and FSGS (n = 22). The resulting spectra were compiled and analyzed using ClinProTools software.

resultsA class prediction model was developed to differentiate MCD and FSGS patients. The validation of this model correctly classified 81.8% (9/11) of MCD patients and 72.7% (8/11) of FSGS patients. Moreover, the signal with m/z 1913.60, identified as a fragment of uromodulin, and the signal with m/z 2392.54, identified as a fragment of alpha-1-antitrypsin, showed higher and lower peak areas, respectively, in FSGS patients compared with MCD patients.

conclusionsThe simple, non-invasive technique described in the present study may be a useful tool to help clinicians by confirming diagnoses achieved by renal biopsy, thereby reducing misdiagnoses and avoiding the implementation of inappropriate therapies.

Indexed as

AdultAgedalpha 1-AntitrypsinBiomarkersGlomerulosclerosis, Focal SegmentalHumansKidney DiseasesMaleNephrosis, LipoidPeptidesProspective StudiesUrinary Tractalpha 1-AntitrypsinBiomarkersPeptidesSERPINA1 protein, human

Identifiers

PMID24498182
PMCPMC3907468

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.