Evidence map›Paper›PMID 28413908›Full record

ReviewRenal failure2017

Molecular mechanisms involved in podocyte EMT and concomitant diabetic kidney diseases: an update.

Qidi Ying, Guanzhong Wu

Open access · goldAbstract readReview
In one paragraph

Review in Renal failure, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 72 papers.

0numbers the graph read from it
0cells of the map it votes in
72citing papers in PubMed
6.9field-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

72 citing papers in PubMed, 142 citations in OpenAlex.

  1. Article
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  9. Targeting Fibrosis: From Molecular Mechanisms to Advanced Therapies.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Review
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12 more citing papers are in PubMed but not listed here.

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

2 authors at 1 institution in 1 country.

Qidi Yinga Department of Pharmacology, Pharmacy , China Pharmaceutical University , Nanjing , Jiangsu , China.
Guanzhong Wua Department of Pharmacology, Pharmacy , China Pharmaceutical University , Nanjing , Jiangsu , China.
China Pharmaceutical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Epithelial-mesenchymal transition (EMT) is a tightly regulated process by which epithelial cells lose their hallmark epithelial characteristics and gain the features of mesenchymal cells. For podocytes, expression of nephrin, podocin, P-cadherin, and ZO-1 is downregulated, the slit diaphragm (SD) will be altered, and the actin cytoskeleton will be rearranged. Diabetes, especially hyperglycemia, has been demonstrated to incite podocyte EMT through several molecular mechanisms such as TGF-β/Smad classic pathway, Wnt/β-catenin signaling pathway, Integrins/integrin-linked kinase (ILK) signaling pathway, MAPKs signaling pathway, Jagged/Notch signaling pathway, and NF-κB signaling pathway. As one of the most fundamental prerequisites to develop ground-breaking therapeutic options to prevent the development and progression of diabetic kidney disease (DKD), a comprehensive understanding of the molecular mechanisms involved in the pathogenesis of podocyte EMT is compulsory. Therefore, the purpose of this paper is to update the research progress of these underlying signaling pathways and expound the podocyte EMT-related DKDs.

Indexed as

Epithelial-Mesenchymal TransitionDiabetic NephropathiesHumansHyperglycemiaIntracellular Signaling Peptides and ProteinsMembrane ProteinsPodocytesSignal TransductionTight Junction ProteinsIntracellular Signaling Peptides and ProteinsMembrane ProteinsnephrinNPHS2 proteinTight Junction Proteinsdiabetic kidney diseaseepithelial–mesenchymal transitionhyperglycemiamolecular mechanismPodocyte

Identifiers

PMID28413908
PMCPMC6014344
OpenAlexW2607455793

What Socratic 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 Socratic graph.