Evidence map›Paper›PMID 28028135›Full record

ArticleJournal of the American Society of Nephrology : JASN2017

Unique Transcriptional Programs Identify Subtypes of AKI.

Katherine Xu, Paul Rosenstiel, Neal Paragas, Christian Hinze, Xiaobo Gao, Tian Huai Shen, Max Werth, Catherine Forster, Rong Deng, Efrat Bruck and 16 more

Abstract read
In one paragraph

Article in Journal of the American Society of Nephrology : JASN, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 68 papers.

0numbers the graph read from it
0cells of the map it votes in
68citing papers in PubMed
8.7field-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

68 citing papers in PubMed, 122 citations in OpenAlex.

  1. Trial
  2. Review
  3. Electronic Phenotype for Detection, Staging, and Subtyping of Acute Kidney Injury.American journal of kidney diseases : the official journal of the National Kidney Foundation · 2026
    Article
  4. Article
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  6. Article
  7. Article
  8. Review
  9. Article
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  12. Article
  13. Article
  14. Review
  15. Article
  16. The role of regulatory T cells in the pathogenesis of acute kidney injury.Journal of cellular and molecular medicine · 2023
    Article
  17. Review
  18. Article
  19. Integrated Analysis of Blood and Urine Biomarkers to Identify Acute Kidney Injury Subphenotypes and Associations With Long-term Outcomes.American journal of kidney diseases : the official journal of the National Kidney Foundation · 2023
    Article
  20. Review

8 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

26 authors at 8 institutions in 2 countries.

Katherine XuDepartments of *Medicine, Division of Nephrology.
Paul RosenstielPathology.
Neal ParagasDepartment of Medicine, Division of Nephrology, University of Washington, Seattle, Washington.
Christian HinzeMax Delbrück Center for Molecular Medicine, Berlin, Germany.
Xiaobo GaoDepartment of Medicine, Division of Nephrology, Icahn School of Medicine at Mount Sinai, New York, New York.
Tian Huai ShenDepartments of *Medicine, Division of Nephrology.
Max WerthDepartments of *Medicine, Division of Nephrology.
Catherine ForsterDepartment of Pediatrics, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio.
Rong DengDepartments of *Medicine, Division of Nephrology.
Efrat BruckDepartments of *Medicine, Division of Nephrology.
Roger W BolesDepartments of *Medicine, Division of Nephrology.
Alexandra TornatoDepartments of *Medicine, Division of Nephrology.
Tejashree GopalDepartments of *Medicine, Division of Nephrology.
Madison JonesDepartments of *Medicine, Division of Nephrology.
Justin KonigDepartments of *Medicine, Division of Nephrology.
Jacob StauberDepartments of *Medicine, Division of Nephrology.
Vivette D'AgatiPathology.
Hediye Erdjument-BromageDepartment of Biochemistry and Molecular Pharmacology, New York University Langone Medical Center, New York, New York.
Subodh SaggiDepartment of Medicine, State University of New York Downstate Medical Center, Brooklyn, New York.
Gebhard WagenerAnesthesiology, and.
Kai M Schmidt-OttMax Delbrück Center for Molecular Medicine, Berlin, Germany.
Nicholas TatonettiMemorial Sloan Kettering Cancer Center, New York, New York.
Paul TempstMemorial Sloan Kettering Cancer Center, New York, New York.
Juan A OliverDepartments of *Medicine, Division of Nephrology.
Paolo GuarnieriSystems Biology, Columbia University Medical Center, New York, New York; p.guarnieri@hotmail.com jmb4@columbia.edu.
Jonathan BaraschDepartments of *Medicine, Division of Nephrology, p.guarnieri@hotmail.com jmb4@columbia.edu.
Icahn School of Medicine at Mount Sinai · USMax Delbrück Center · DEUniversity of Washington · USCincinnati Children's Hospital Medical Center · USColumbia University Irving Medical Center · USMemorial Sloan Kettering Cancer Center · USNYU Langone Health · USState University of New York · US

Funding

Vector and Transgenic Mouse CoreP30DK017047 · NIDDK · UNIVERSITY OF WASHINGTON · PI Tomas Vaisar · 1986 to 2026
$41.4M
LCenter for Clinical and Translational Science and TrainingUL1TR001425 · NCATS · UNIVERSITY OF CINCINNATI · PI MEINZEN-DERR, JAREEN, STRAWN, JEFFREY ROBERT · 2015 to 2024
$37.5M
NUTRITIONT32DK007647 · NIDDK · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI Anthony W Ferrante, Lori M Zeltser · 1990 to 2026
$7.4M
IRON LIPOCALIN NGAL IN KIDNEY DISEASER01DK073462 · NIDDK · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI BARASCH, JONATHAN M. · 2007 to 2015
$3.0M
Drug Effect Discovery Through Data Mining and Integrative Chemical BiologyR01GM107145 · NIGMS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI TATONETTI, NICHOLAS P · 2014 to 2018
$2.5M
Iron Delivery in the Developing KidneyR01DK092684 · NIDDK · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI BARASCH, JONATHAN M. · 2012 to 2016
$1.7M
INTERCALATED CELLS OF THE DISTAL NEPHRON DEFEND THE URINARY SYSTEMR00DK094873 · NIDDK · UNIVERSITY OF WASHINGTON · PI PARAGAS, NEAL · 2015 to 2017
$732k
Analysis of NGAL Metabolism Identifies a Therapy for Iron OverloadR21DK091729 · NIDDK · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI BARASCH, JONATHAN M. · 2011 to 2012
$437k
Role of the Kidney in Iron BalanceF31DK105799 · NIDDK · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI XU, KATHERINE · 2015 to 2017
$130k
NCATS NIH HHS UL1 TR001425NIDDK NIH HHS F31 DK105799NIDDK NIH HHS P30 DK017047NIDDK NIH HHS R00 DK094873NIDDK NIH HHS R01 DK073462NIDDK NIH HHS R01 DK092684NIDDK NIH HHS R21 DK091729NIDDK NIH HHS T32 DK007647NIGMS NIH HHS R01 GM107145
6 · The paper itself

Abstract

Two metrics, a rise in serum creatinine concentration and a decrease in urine output, are considered tantamount to the injury of the kidney tubule and the epithelial cells thereof (AKI). Yet neither criterion emphasizes the etiology or the pathogenetic heterogeneity of acute decreases in kidney excretory function. In fact, whether decreased excretory function due to contraction of the extracellular fluid volume (vAKI) or due to intrinsic kidney injury (iAKI) actually share pathogenesis and should be aggregated in the same diagnostic group remains an open question. To examine this possibility, we created mouse models of iAKI and vAKI that induced a similar increase in serum creatinine concentration. Using laser microdissection to isolate specific domains of the kidney, followed by RNA sequencing, we found that thousands of genes responded specifically to iAKI or to vAKI, but very few responded to both stimuli. In fact, the activated gene sets comprised different, functionally unrelated signal transduction pathways and were expressed in different regions of the kidney. Moreover, we identified distinctive gene expression patterns in human urine as potential biomarkers of either iAKI or vAKI, but not both. Hence, iAKI and vAKI are biologically unrelated, suggesting that molecular analysis should clarify our current definitions of acute changes in kidney excretory function.

Indexed as

TranscriptomeAcute Kidney InjuryAnimalsFemaleGene ExpressionHumansMiceMice, Inbred C57BLacute kidney injurybiomarkersrenal ischemiatranscriptional profilingvolume depletion

Identifiers

PMID28028135
PMCPMC5461802
OpenAlexW2566478702

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.