Evidence map›Paper›PMID 27483259›Full record

ReviewInternational journal of molecular sciences2016

Is the Mouse a Good Model of Human PPARγ-Related Metabolic Diseases?

Attila Pap, Ixchelt Cuaranta-Monroy, Matthew Peloquin, Laszlo Nagy

Open access · goldAbstract readReview
In one paragraph

Review in International journal of molecular sciences, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
0.9field-weighted citation impact, top 23% 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

13 citing papers in PubMed, 20 citations in OpenAlex.

  1. Review
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  12. Maintenance of Kidney Metabolic Homeostasis by PPAR Gamma.International journal of molecular sciences · 2018
    Review
  13. 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 3 institutions in 2 countries.

Attila PapDepartment of Biochemistry and Molecular Biology, Faculty of Medicine, University of Debrecen, Debrecen H-4012, Hungary. papa@med.unideb.hu.
Ixchelt Cuaranta-MonroyDepartment of Biochemistry and Molecular Biology, Faculty of Medicine, University of Debrecen, Debrecen H-4012, Hungary. ixchelt.cuaranta@med.unideb.hu.
Matthew PeloquinSanford Burnham Prebys Medical Discovery Institute at Lake Nona, Orlando, FL 32877, USA. mpeloquin@sbpdiscovery.org.
Laszlo NagyDepartment of Biochemistry and Molecular Biology, Faculty of Medicine, University of Debrecen, Debrecen H-4012, Hungary. lnagy@sbpdiscovery.org.
University of Debrecen · HUDiscovery Institute · USSanford Burnham Prebys Medical Discovery Institute · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With the increasing number of patients affected with metabolic diseases such as type 2 diabetes, obesity, atherosclerosis and insulin resistance, academic researchers and pharmaceutical companies are eager to better understand metabolic syndrome and develop new drugs for its treatment. Many studies have focused on the nuclear receptor peroxisome proliferator-activated receptor gamma (PPARγ), which plays a crucial role in adipogenesis and lipid metabolism. These studies have been able to connect this transcription factor to several human metabolic diseases. Due to obvious limitations concerning experimentation in humans, animal models-mainly mouse models-have been generated to investigate the role of PPARγ in different tissues. This review focuses on the metabolic features of human and mouse PPARγ-related diseases and the utility of the mouse as a model.

Indexed as

Disease Models, AnimalAnimalsHumansMetabolic DiseasesMicePPAR gammaPPAR gammahuman mutationsligand activationlipodystrophymetabolic syndromemouse modelsPPARγ expression

Identifiers

PMID27483259
PMCPMC5000634
OpenAlexW2502880101

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.