Evidence map›Paper›PMID 26700490›Full record

ArticleTrends in molecular medicine2016

Epithelial Plasticity versus EMT in Kidney Fibrosis.

Shizheng Huang, Katalin Susztak

Open access · greenAbstract readComment
In one paragraph

Article in Trends in molecular medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed
1.5field-weighted citation impact, top 17% 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

40 citing papers in PubMed, 63 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Targeting Neuraminidase 4 Attenuates Kidney Fibrosis in Mice.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024
    Article
  8. Review
  9. Article
  10. Review
  11. Article
  12. Article
  13. EPActa physiologica (Oxford, England) · 2022
    Article
  14. Article
  15. Review
  16. Article
  17. Article
  18. Article
  19. Article
  20. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors at 1 institution in 1 country.

Shizheng HuangRenal Electrolyte and Hypertension Division, Department of Medicine, Department of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
Katalin SusztakRenal Electrolyte and Hypertension Division, Department of Medicine, Department of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA. Electronic address: ksusztak@mail.med.upenn.edu.
University of Pennsylvania · US

Funding

Role of the Notch Pathway in Kidney InjuryR01DK076077 · NIDDK · UNIVERSITY OF PENNSYLVANIA · PI KATALIN SUSZTAK · 2007 to 2026
$8.0M
Epigenetics of Chronic Kidney DiseaseR01DK087635 · NIDDK · UNIVERSITY OF PENNSYLVANIA · PI KATALIN SUSZTAK · 2009 to 2026
$7.0M
APOL1 associated kidney diseaseR01DK105821 · NIDDK · UNIVERSITY OF PENNSYLVANIA · PI SUSZTAK, KATALIN · 2016 to 2024
$4.6M
Epigenetic drivers and biomarkers of diabetic kidney diseaseDP3DK108220 · NIDDK · UNIVERSITY OF PENNSYLVANIA · PI SUSZTAK, KATALIN · 2015 to 2015
$2.4M
NIDDK NIH HHS DP3 DK108220NIDDK NIH HHS R01 DK076077NIDDK NIH HHS R01 DK087635NIDDK NIH HHS R01 DK105821
6 · The paper itself

Abstract

Ten percent of the population worldwide suffers from chronic kidney disease (CKD), characterized by fibrotic changes in the kidney. Fibrosis is associated with loss of epithelial parenchyma, and accumulation of myofibroblasts, fibrillary collagen, and inflammatory cells. Two recent papers highlight the critical role of Twist and Snai1 transcription factors in kidney fibrosis.

Indexed as

Cell Cycle CheckpointsEpithelial-Mesenchymal TransitionAnimalsHumansKidneyMaleTranscription FactorsTranscription Factors

Identifiers

PMID26700490
PMCPMC4854190
OpenAlexW2211948102

What OpenQuestion holds

Textmetadata
LicenceTDM
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.