Evidence mapPaperPMID 31390845Full record

ArticleBiomolecules2019

Microparticles as Potential Mediators of High Glucose-Induced Renal Cell Injury.

Sreenithya Ravindran, Mazhar Pasha, Abdelali Agouni, Shankar Munusamy

Open access · goldAbstract read
In one paragraph

Article in Biomolecules, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
0.8field-weighted citation impact, top 29% 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

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 16 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Review
  5. Article
  6. Review
  7. Review
  8. Review
  9. Article
  10. Review
  11. Article
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

4 authors at 2 institutions in 2 countries.

Sreenithya RavindranDepartment of Pharmaceutical Sciences, College of Pharmacy, QU Health, Qatar University, P.O Box 2713, Doha, Qatar.
Mazhar PashaDepartment of Pharmaceutical Sciences, College of Pharmacy, QU Health, Qatar University, P.O Box 2713, Doha, Qatar.
Abdelali AgouniDepartment of Pharmaceutical Sciences, College of Pharmacy, QU Health, Qatar University, P.O Box 2713, Doha, Qatar.
Shankar MunusamyDepartment of Pharmaceutical and Administrative Sciences, College of Pharmacy and Health Sciences, Drake University, Des Moines, IA 50311, USA. shankar.munusamy@drake.edu.
Qatar University · QADrake University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diabetic nephropathy (DN) is the most common cause of chronic kidney disease worldwide. Activation of signaling pathways such as the mammalian target of rapamycin (mTOR), extracellular signal-regulated kinases (ERK), endoplasmic reticulum (ER) stress, transforming growth factor-beta (TGF-β), and epithelial-mesenchymal transition (EMT), are thought to play a significant role in the etiology of DN. Microparticles (MPs), the small membrane vesicles containing bioactive signals shed by cells upon activation or during apoptosis, are elevated in diabetes and were identified as biomarkers in DN. However, their exact role in the pathophysiology of DN remains unclear. Here, we examined the effect of MPs shed from renal proximal tubular cells (RPTCs) exposed to high glucose conditions on naïve RPTCs in vitro

Indexed as

AnimalsCell CycleCells, CulturedCell SurvivalDose-Response Relationship, DrugGlucoseKidney Tubules, ProximalMicroplasticsRatsGlucoseMicroplasticsdiabetic nephropathyendoplasmic reticulum stressepithelial-mesenchymal transitionERK1/2microparticlesmTORTGF-β

Identifiers

PMID31390845
PMCPMC6723350
OpenAlexW2965306533

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.