Evidence map›Paper›PMID 26631632›Full record

ArticleScience translational medicine2015

Tissue transcriptome-driven identification of epidermal growth factor as a chronic kidney disease biomarker.

Wenjun Ju, Viji Nair, Shahaan Smith, Li Zhu, Kerby Shedden, Peter X K Song, Laura H Mariani, Felix H Eichinger, Celine C Berthier, Ann Randolph and 24 more

Registry-linked trialAbstract read
In one paragraph

Article in Science translational medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05378282 (Identification of Diabetic Nephropathy Biomarkers Through Transcriptomics), which is not on this map. Cited by 265 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
265citing papers in PubMed, 1 pooled it
20.5field-weighted citation impact, top 1% 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.

NCT05378282 completednot on this mapstarted 2021, after this paper: background citation

Identification of Diabetic Nephropathy Biomarkers Through Transcriptomics

TypeobservationalSponsorHospital Juarez de MexicoRan2021 to 2023Enrolled40ConditionsType 2 Diabetes, Type 2 Diabetes With Renal Manifestations
3 · Its place in the literature

Who cites it

265 citing papers in PubMed, 1 synthesis or guideline pooled it, 424 citations in OpenAlex.

  1. Pooled it
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  10. Novel protein biomarkers for risk stratification and personalized medicine.Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association · 2026
    Article
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205 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

34 authors at 4 institutions in 1 country.

Wenjun Ju *Department of Internal Medicine, University of Michigan, Ann Arbor, MI 48109, USA.
Viji Nair *Department of Internal Medicine, University of Michigan, Ann Arbor, MI 48109, USA.
Shahaan SmithDepartment of Internal Medicine, University of Michigan, Ann Arbor, MI 48109, USA.
Li ZhuRenal Division, Department of Internal Medicine, Peking University First Hospital, Peking University Institute of Nephrology, Beijing 100034, China.
Kerby SheddenDepartment of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI 48109, USA.
Peter X K SongDepartment of Biostatistics, University of Michigan, Ann Arbor, MI 48109, USA.
Laura H MarianiDepartment of Internal Medicine, University of Michigan, Ann Arbor, MI 48109, USA.
Felix H EichingerDepartment of Internal Medicine, University of Michigan, Ann Arbor, MI 48109, USA.
Celine C BerthierDepartment of Internal Medicine, University of Michigan, Ann Arbor, MI 48109, USA.
Ann RandolphDepartment of Internal Medicine, University of Michigan, Ann Arbor, MI 48109, USA.
Jennifer Yi-Chun LaiDepartment of Internal Medicine, University of Michigan, Ann Arbor, MI 48109, USA.
Yan ZhouDepartment of Biostatistics, University of Michigan, Ann Arbor, MI 48109, USA.
Jennifer J HawkinsDepartment of Internal Medicine, University of Michigan, Ann Arbor, MI 48109, USA.
Markus BitzerDepartment of Internal Medicine, University of Michigan, Ann Arbor, MI 48109, USA.
Matthew G SampsonDepartment of Pediatrics, University of Michigan, Ann Arbor, MI 48109, USA.
Martina ThierRoche Pharmaceutical Research and Early Development-Roche Innovation Center, 4070 Basel, Switzerland.
Corinne SolierRoche Pharmaceutical Research and Early Development-Roche Innovation Center, 4070 Basel, Switzerland.
Gonzalo C Duran-PachecoRoche Pharmaceutical Research and Early Development-Roche Innovation Center, 4070 Basel, Switzerland.
Guillemette Duchateau-NguyenRoche Pharmaceutical Research and Early Development-Roche Innovation Center, 4070 Basel, Switzerland.
Laurent EssiouxRoche Pharmaceutical Research and Early Development-Roche Innovation Center, 4070 Basel, Switzerland.
Brigitte SchottRoche Pharmaceutical Research and Early Development-Roche Innovation Center, 4070 Basel, Switzerland.
Ivan FormentiniRoche Pharmaceutical Research and Early Development-Roche Innovation Center, 4070 Basel, Switzerland.
Maria C MagnoneRoche Pharmaceutical Research and Early Development-Roche Innovation Center, 4070 Basel, Switzerland.
Maria BobadillaRoche Pharmaceutical Research and Early Development-Roche Innovation Center, 4070 Basel, Switzerland.
Clemens D CohenDivision of Nephrology, Institute of Physiology, University of Zurich, CH-8006 Zürich, Switzerland.
Serena M BagnascoDepartment of Pathology, Johns Hopkins School of Medicine, Baltimore, MD 21287, USA.
Laura BarisoniDepartment of Pathology, Miller School of Medicine, University of Miami, Miami, FL 33136, USA.
Jicheng LvRenal Division, Department of Internal Medicine, Peking University First Hospital, Peking University Institute of Nephrology, Beijing 100034, China.
Hong ZhangRenal Division, Department of Internal Medicine, Peking University First Hospital, Peking University Institute of Nephrology, Beijing 100034, China.
Hai-Yan WangRenal Division, Department of Internal Medicine, Peking University First Hospital, Peking University Institute of Nephrology, Beijing 100034, China.
Frank C BrosiusDepartment of Internal Medicine, University of Michigan, Ann Arbor, MI 48109, USA.
Crystal A GadegbekuTemple Clinical Research Institute, Temple University School of Medicine, Philadelphia, PA 19140, USA.
Matthias KretzlerDepartment of Internal Medicine, University of Michigan, Ann Arbor, MI 48109, USA.
ERCB, C-PROBE, NEPTUNE, and PKU-IgAN Consortium
University of Michigan–Ann Arbor · USArbor Research Collaborative for Health · USJohns Hopkins Medicine · USUniversity of Miami · US

Funding

Michigan Institute for Clinical and Health Research (MCHR)UL1TR000433 · NCATS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI MASHOUR, GEORGE ALEXANDER · 2012 to 2016
$49.9M
Regional Pilot And Feasibility Study Grants ProgramP30DK020572 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI DAVID P OLSON · 2013 to 2026
$24.3M
Training Program in Clinical & Translationa Research in Human Glomerular DiseaseU54DK083912 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI KRETZLER, MATTHIAS · 2009 to 2023
$20.3M
University of Michigan O'Brien Kidney Translational Core CenterP30DK081943 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI BROSIUS, FRANK C · 2008 to 2022
$12.9M
Research BaseP30DK092926 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI MARY ELLEN MICHELE HEISLER, ADESUWA B OLOMU · 2011 to 2026
$10.0M
Molecular Progression Predictors in the Chronic Renal Insufficiency CohortR01DK079912 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI KRETZLER, MATTHIAS · 2008 to 2012
$2.8M
MicroRNA-mediated Mechanisms of Glomerular Injury in Diabetic NephropathyR01DK100449 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI BITZER, MARKUS · 2014 to 2018
$1.7M
NCATS NIH HHS UL1 TR000433NCRR NIH HHS UL1RR000433NIDDK NIH HHS DK083912NIDDK NIH HHS P30 DK020572NIDDK NIH HHS P30DK020572NIDDK NIH HHS P30 DK081943NIDDK NIH HHS P30DK081943NIDDK NIH HHS P30 DK092926NIDDK NIH HHS R01 DK079912NIDDK NIH HHS R01DK079912NIDDK NIH HHS R01 DK100449NIDDK NIH HHS U54 DK083912NIDDK NIH HHS U54DK083912
6 · The paper itself

Abstract

Chronic kidney disease (CKD) affects 8 to 16% people worldwide, with an increasing incidence and prevalence of end-stage kidney disease (ESKD). The effective management of CKD is confounded by the inability to identify patients at high risk of progression while in early stages of CKD. To address this challenge, a renal biopsy transcriptome-driven approach was applied to develop noninvasive prognostic biomarkers for CKD progression. Expression of intrarenal transcripts was correlated with the baseline estimated glomerular filtration rate (eGFR) in 261 patients. Proteins encoded by eGFR-associated transcripts were tested in urine for association with renal tissue injury and baseline eGFR. The ability to predict CKD progression, defined as the composite of ESKD or 40% reduction of baseline eGFR, was then determined in three independent CKD cohorts. A panel of intrarenal transcripts, including epidermal growth factor (EGF), a tubule-specific protein critical for cell differentiation and regeneration, predicted eGFR. The amount of EGF protein in urine (uEGF) showed significant correlation (P < 0.001) with intrarenal EGF mRNA, interstitial fibrosis/tubular atrophy, eGFR, and rate of eGFR loss. Prediction of the composite renal end point by age, gender, eGFR, and albuminuria was significantly (P < 0.001) improved by addition of uEGF, with an increase of the C-statistic from 0.75 to 0.87. Outcome predictions were replicated in two independent CKD cohorts. Our approach identified uEGF as an independent risk predictor of CKD progression. Addition of uEGF to standard clinical parameters improved the prediction of disease events in diverse CKD populations with a wide spectrum of causes and stages.

Indexed as

TranscriptomeAdultAgedBiomarkersBiopsyCell DifferentiationCohort StudiesDisease ProgressionEpidermal Growth FactorFemaleGlomerular Filtration RateHumansMaleMiddle AgedPrognosisProteinsBiomarkersEpidermal Growth FactorProteins

Identifiers

PMID26631632
PMCPMC4861144
OpenAlexW2188526593

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Registered trials

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.