Evidence map›Paper›PMID 25888842›Full record

ArticleJournal of translational medicine2015

Urine Fetuin-A is a biomarker of autosomal dominant polycystic kidney disease progression.

Nathalie Piazzon, Florian Bernet, Linda Guihard, Wouter N Leonhard, Séverine Urfer, Dmitri Firsov, Hassib Chehade, Bruno Vogt, Sophia Piergiovanni, Dorien J M Peters and 2 more

Open access · goldAbstract read
In one paragraph

Article in Journal of translational medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
2.0field-weighted citation impact, top 13% 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

10 citing papers in PubMed, 22 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Review
  8. Article
  9. Article
  10. 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

12 authors at 5 institutions in 2 countries.

Nathalie PiazzonEcole Polytechnique Fédérale de Lausanne (EPFL), Bâtiment SV ISREC, Station 19, Lausanne, Switzerland. nathalie.piazzon@unil.ch.
Florian BernetEcole Polytechnique Fédérale de Lausanne (EPFL), Bâtiment SV ISREC, Station 19, Lausanne, Switzerland. florian.bernet@epfl.ch.
Linda GuihardService of Nephrology, Lausanne University Hospital (CHUV), Lausanne, Switzerland. Linda.Guihard@chuv.ch.
Wouter N LeonhardDepartment of Human Genetics, Leiden Univ. Medical Center, Leiden, The Netherlands. W.N.Leonhard@lumc.nl.
Séverine UrferEcole Polytechnique Fédérale de Lausanne (EPFL), Bâtiment SV ISREC, Station 19, Lausanne, Switzerland. severine.urfer@epfl.ch.
Dmitri FirsovDepartment of Pharmacology and Toxicology, University of Lausanne (UNIL), Quartier UNIL-CHUV, Lausanne, Switzerland. Dmitri.Firsov@unil.ch.
Hassib ChehadeDepartment of Pediatrics, Division of Pediatric Nephrology, Lausanne University Hospital (CHUV), Lausanne, Switzerland. Hassib.Chehade@chuv.ch.
Bruno VogtDepartment of Nephrology and Hypertension, Inselspital, Bern, Switzerland. bruno.vogt@insel.ch.
Sophia PiergiovanniDepartment of Pharmacology and Toxicology, University of Lausanne (UNIL), Quartier UNIL-CHUV, Lausanne, Switzerland. sophia.piergiovanni@chuv.ch.
Dorien J M PetersDepartment of Human Genetics, Leiden Univ. Medical Center, Leiden, The Netherlands. D.J.M.Peters@lumc.nl.
Olivier BonnyDepartment of Pharmacology and Toxicology, University of Lausanne (UNIL), Quartier UNIL-CHUV, Lausanne, Switzerland. Olivier.Bonny@chuv.ch.
Daniel B ConstamEcole Polytechnique Fédérale de Lausanne (EPFL), Bâtiment SV ISREC, Station 19, Lausanne, Switzerland. Daniel.Constam@epfl.ch.
École Polytechnique Fédérale de Lausanne · CHUniversity Hospital of Lausanne · CHLeiden University Medical Center · NLUniversity of Lausanne · CHUniversity Hospital of Bern · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAutosomal dominant polycystic kidney disease (ADPKD) is a genetic disorder characterized by numerous fluid-filled cysts that frequently result in end-stage renal disease. While promising treatment options are in advanced clinical development, early diagnosis and follow-up remain a major challenge. We therefore evaluated the diagnostic value of Fetuin-A as a new biomarker of ADPKD in human urine.

resultsWe found that renal Fetuin-A levels are upregulated in both Pkd1 and Bicc1 mouse models of ADPKD. Measurement by ELISA revealed that urinary Fetuin-A levels were significantly higher in 66 ADPKD patients (17.5 ± 12.5 μg/mmol creatinine) compared to 17 healthy volunteers (8.5 ± 3.8 μg/mmol creatinine) or 50 control patients with renal diseases of other causes (6.2 ± 2.9 μg/mmol creatinine). Receiver operating characteristics (ROC) analysis of urinary Fetuin-A levels for ADPKD rendered an optimum cut-off value of 12.2 μg/mmol creatinine, corresponding to 94% of sensitivity and 60% of specificity (area under the curve 0.74 ; p = 0.0019). Furthermore, urinary Fetuin-A levels in ADPKD patients correlated with the degree of renal insufficiency and showed a significant increase in patients with preserved renal function followed for two years.

conclusionsOur findings establish urinary Fetuin-A as a sensitive biomarker of the progression of ADPKD. Further studies are required to examine the pathogenic mechanisms of elevated renal and urinary Fetuin-A in ADPKD.

Indexed as

Disease ProgressionAdultAgedalpha-2-HS-GlycoproteinAnimalsBiomarkersDisease Models, AnimalEnzyme-Linked Immunosorbent AssayFemaleHumansKidney Failure, ChronicMaleMice, KnockoutMiddle AgedPolycystic Kidney, Autosomal DominantRNA-Binding Proteinsalpha-2-HS-GlycoproteinBicc1 protein, mouseBiomarkersRNA-Binding Proteins

Identifiers

PMID25888842
PMCPMC4416261
OpenAlexW2056196374

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.