Evidence map›Paper›PMID 19465643›Full record

ArticleThe American journal of pathology2009

Renal gene and protein expression signatures for prediction of kidney disease progression.

Wenjun Ju, Felix Eichinger, Markus Bitzer, Jun Oh, Shannon McWeeney, Celine C Berthier, Kerby Shedden, Clemens D Cohen, Anna Henger, Stefanie Krick and 8 more

Erratum issuedOpen access · bronzeAbstract read
In one paragraph

Article in The American journal of pathology, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 44 papers.

0numbers the graph read from it
0cells of the map it votes in
44citing papers in PubMed
3.9field-weighted citation impact, top 6% 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

44 citing papers in PubMed, 71 citations in OpenAlex.

  1. MicroRNA-21 in glomerular injury.Journal of the American Society of Nephrology : JASN · 2015
    Trial
  2. Review
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. S100A6 Protein-Expression and Function in Norm and Pathology.International journal of molecular sciences · 2023
    Review
  9. Article
  10. Article
  11. Review
  12. Review
  13. Review
  14. Association ofToxins · 2019
    Article
  15. Emerging strategies to disrupt the central TGF-β axis in kidney fibrosis.Translational research : the journal of laboratory and clinical medicine · 2019
    Review
  16. Article
  17. Article
  18. Review
  19. Article
  20. Article
4 · The record

Corrections and comments

  • Erratum issued
5 · Who and what money

Authors and funding

18 authors at 9 institutions in 3 countries.

Wenjun JuDept. of Medicine, Mount Sinai Medical Center, One Gustave L. Levy Pl., Box 1118, New York, NY 10029, USA.
Felix Eichinger
Markus Bitzer
Jun Oh
Shannon McWeeney
Celine C Berthier
Kerby Shedden
Clemens D Cohen
Anna Henger
Stefanie Krick
Jeffrey B Kopp
Christian J Stoeckert
Steven Dikman
Bernd Schröppel
David B Thomas
Detlef Schlondorff
Matthias Kretzler
Erwin P Böttinger
Icahn School of Medicine at Mount Sinai · USUniversity of Michigan · USOregon Health & Science University · USCalifornia University of Pennsylvania · USHeidelberg University · DEMount Sinai Hospital · USNational Institutes of Health · USUniversity of Zurich · CHYeshiva University · US

Funding

Focal Segmental Glomerulosclerosis: Genetics & MechanismsZIADK043308 · NIDDK · NATIONAL INSTITUTE OF DIABETES AND DIGESTIVE AND KIDNEY DISEASES · PI KOPP, JEFFREY BURNETT · 2009 to 2024
$15.7M
Role and Mechanisms of Epithelial Injury in Diabetic NephropathyU01DK060995 · NIDDK · YESHIVA UNIVERSITY · PI BOTTINGER, ERWIN P. · 2001 to 2010
$6.0M
CYTOKINE SIGNALING IN RENAL FIBROSISR01DK056077 · NIDDK · YESHIVA UNIVERSITY · PI BOTTINGER, ERWIN P. · 1999 to 2009
$3.2M
Genetic Programming in Progressive Renal DiseaseR01DK060043 · NIDDK · YESHIVA UNIVERSITY · PI BOTTINGER, ERWIN P. · 2001 to 2010
$2.9M
Molecular Progression Predictors in the Chronic Renal Insufficiency CohortR01DK079912 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI KRETZLER, MATTHIAS · 2008 to 2012
$2.8M
Towards Molecular Diagnostics of Glomerular DiseaseR01DK073960 · NIDDK · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI BOTTINGER, ERWIN P. · 2006 to 2010
$1.6M
Identification of Biomarkers for Progressive Diabetic NephropathyR21DK079441 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI KRETZLER, MATTHIAS · 2007 to 2010
$1.0M
NIDDK NIH HHS 5R01DK056077-09NIDDK NIH HHS 5R01DK060043-07NIDDK NIH HHS 5R01DK073960-02NIDDK NIH HHS 5U01DK060995-08NIDDK NIH HHS R01 DK056077NIDDK NIH HHS R01 DK060043NIDDK NIH HHS R01 DK073960NIDDK NIH HHS R01 DK079912NIDDK NIH HHS R01 DK079912-01NIDDK NIH HHS R21 DK079441NIDDK NIH HHS R21DK079441-01NIDDK NIH HHS U01 DK060995
6 · The paper itself

Abstract

Although chronic kidney disease (CKD) is common, only a fraction of CKD patients progress to end-stage renal disease. Molecular predictors to stratify CKD populations according to their risk of progression remain undiscovered. Here we applied transcriptional profiling of kidneys from transforming growth factor-beta1 transgenic (Tg) mice, characterized by heterogeneity of kidney disease progression, to identify 43 genes that discriminate kidneys by severity of glomerular apoptosis before the onset of tubulointerstitial fibrosis in 2-week-old animals. Among the genes examined, 19 showed significant correlation between mRNA expression in uninephrectomized left kidneys at 2 weeks of age and renal disease severity in right kidneys of Tg mice at 4 weeks of age. Gene expression profiles of human orthologs of the 43 genes in kidney biopsies were highly significantly related (R(2) = 0.53; P < 0.001) to the estimated glomerular filtration rates in patients with CKD stages I to V, and discriminated groups of CKD stages I/II and III/IV/V with positive and negative predictive values of 0.8 and 0.83, respectively. Protein expression patterns for selected genes were successfully validated by immunohistochemistry in kidneys of Tg mice and kidney biopsies of patients with IgA nephropathy and CKD stages I to V, respectively. In conclusion, we developed novel mRNA and protein expression signatures that predict progressive renal fibrosis in mice and may be useful molecular predictors of CKD progression in humans.

Indexed as

Gene Expression ProfilingAnimalsCluster AnalysisDisease ProgressionGene ExpressionHumansImmunohistochemistryKidney DiseasesMiceMice, TransgenicOligonucleotide Array Sequence AnalysisReverse Transcriptase Polymerase Chain ReactionRisk FactorsRNA, MessengerTranscription, GeneticTransforming Growth Factor beta1RNA, MessengerTransforming Growth Factor beta1

Identifiers

PMID19465643
PMCPMC2684173
OpenAlexW1977576899

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.