Evidence map›Paper›PMID 39273065›Full record

ArticleCells2024

The Tumor Suppressor Par-4 Regulates Adipogenesis by Transcriptional Repression of PPARγ.

James Sledziona, Ravshan Burikhanov, Nathalia Araujo, Jieyun Jiang, Nikhil Hebbar, Vivek M Rangnekar

Abstract read
In one paragraph

Article in Cells, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

2 citing papers in PubMed.

  1. Article
  2. Review
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

6 authors.

James SledzionaDepartment of Toxicology and Cancer Biology, University of Kentucky, 538 Healthy Kentucky Research Building, 760 Press Avenue, Lexington, KY 40536, USA.
Ravshan BurikhanovRadiation Medicine, University of Kentucky, Lexington, KY 40536, USA.ORCID 0000-0002-2892-4120
Nathalia AraujoDepartment of Toxicology and Cancer Biology, University of Kentucky, 538 Healthy Kentucky Research Building, 760 Press Avenue, Lexington, KY 40536, USA.
Jieyun JiangRadiation Medicine, University of Kentucky, Lexington, KY 40536, USA.ORCID 0000-0002-3244-8868
Nikhil HebbarDepartment of Toxicology and Cancer Biology, University of Kentucky, 538 Healthy Kentucky Research Building, 760 Press Avenue, Lexington, KY 40536, USA.
Vivek M RangnekarDepartment of Toxicology and Cancer Biology, University of Kentucky, 538 Healthy Kentucky Research Building, 760 Press Avenue, Lexington, KY 40536, USA.

Funding

NIH/NCI CA165990
6 · The paper itself

Abstract

Prostate apoptosis response-4 (Par-4, also known as PAWR) is a ubiquitously expressed tumor suppressor protein that induces apoptosis selectively in cancer cells, while leaving normal cells unaffected. Our previous studies indicated that genetic loss of Par-4 promoted hepatic steatosis, adiposity, and insulin-resistance in chow-fed mice. Moreover, low plasma levels of Par-4 are associated with obesity in human subjects. The mechanisms underlying obesity in rodents and humans are multi-faceted, and those associated with adipogenesis can be functionally resolved in cell cultures. We therefore used pluripotent mouse embryonic fibroblasts (MEFs) or preadipocyte cell lines responsive to adipocyte differentiation cues to determine the potential role of Par-4 in adipocytes. We report that pluripotent MEFs from Par-4

Indexed as

3T3-L1 CellsAdipocytesAdipogenesisApoptosis Regulatory ProteinsPPAR gammaAnimalsCell DifferentiationFibroblastsHumansMicePromoter Regions, GeneticTranscription, GeneticApoptosis Regulatory ProteinsPPAR gammaprostate apoptosis response-4 proteinadipogenesisPar-4PPARγtumor suppressor

Identifiers

PMID39273065
PMCPMC11393870

What OpenQuestion 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 OpenQuestion graph.