Evidence map›Paper›PMID 27283430›Full record

ArticleScientific reports2016

Localization of PPAR isotypes in the adult mouse and human brain.

Anna Warden, Jay Truitt, Morgan Merriman, Olga Ponomareva, Kelly Jameson, Laura B Ferguson, R Dayne Mayfield, R Adron Harris

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 146 papers.

0numbers the graph read from it
0cells of the map it votes in
146citing papers in PubMed
9.9field-weighted citation impact, top 1% 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

146 citing papers in PubMed, 241 citations in OpenAlex.

  1. Sex-specific role of microglia in ΔNeuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2026
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86 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

8 authors at 1 institution in 1 country.

Anna WardenWaggoner Center for Alcohol and Addiction Research, The University of Texas at Austin, Austin, TX 78712, United States.
Jay TruittWaggoner Center for Alcohol and Addiction Research, The University of Texas at Austin, Austin, TX 78712, United States.
Morgan MerrimanWaggoner Center for Alcohol and Addiction Research, The University of Texas at Austin, Austin, TX 78712, United States.
Olga PonomarevaWaggoner Center for Alcohol and Addiction Research, The University of Texas at Austin, Austin, TX 78712, United States.
Kelly JamesonWaggoner Center for Alcohol and Addiction Research, The University of Texas at Austin, Austin, TX 78712, United States.
Laura B FergusonWaggoner Center for Alcohol and Addiction Research, The University of Texas at Austin, Austin, TX 78712, United States.
R Dayne MayfieldWaggoner Center for Alcohol and Addiction Research, The University of Texas at Austin, Austin, TX 78712, United States.
R Adron HarrisWaggoner Center for Alcohol and Addiction Research, The University of Texas at Austin, Austin, TX 78712, United States.
The University of Texas at Austin · US

Funding

GENE EXPRESSION IN THE HUMAN ALCOHOLIC BRAINR01AA012404 · NIAAA · UNIVERSITY OF TEXAS AUSTIN · PI MAYFIELD, ROY DAYNE · 2000 to 2025
$10.7M
Neurochemical & Behavioral Correlates of ETOH EffectsT32AA007471 · NIAAA · UNIVERSITY OF TEXAS AUSTIN · PI Kimberly Nixon · 1987 to 2026
$9.2M
Brain Tissue Resource Centre for Alcohol ResearchR28AA012725 · NIAAA · UNIVERSITY OF SYDNEY · PI Greg Trevor Sutherland · 2012 to 2026
$7.0M
Translational Explorations in Substance Use DisordersT32DA007287 · NIDA · UNIVERSITY OF TEXAS MEDICAL BR GALVESTON · PI Kathryn A. Cunningham, Jonathan Dean Hommel · 1994 to 2026
$4.7M
Molecular mechanisms underlying reduction of alcohol consumption by PPAR agonistsF31AA024332 · NIAAA · UNIVERSITY OF TEXAS AT AUSTIN · PI FERGUSON, LAURA BROCKWAY · 2015 to 2017
$67k
NIAAA NIH HHS F31 AA024332NIAAA NIH HHS R01 AA012404NIAAA NIH HHS R28 AA012725NIAAA NIH HHS T32 AA007471NIDA NIH HHS T32 DA007287
6 · The paper itself

Abstract

Peroxisome proliferator-activated receptors (PPARs) are nuclear hormone receptors that act as ligand-activated transcription factors. PPAR agonists have well-documented anti-inflammatory and neuroprotective roles in the central nervous system. Recent evidence suggests that PPAR agonists are attractive therapeutic agents for treating neurodegenerative diseases as well as addiction. However, the distribution of PPAR mRNA and protein in brain regions associated with these conditions (i.e. prefrontal cortex, nucleus accumbens, amygdala, ventral tegmental area) is not well defined. Moreover, the cell type specificity of PPARs in mouse and human brain tissue has yet to be investigated. We utilized quantitative PCR and double immunofluorescence microscopy to determine that both PPAR mRNA and protein are expressed ubiquitously throughout the adult mouse brain. We found that PPARs have unique cell type specificities that are consistent between species. PPARα was the only isotype to colocalize with all cell types in both adult mouse and adult human brain tissue. Overall, we observed a strong neuronal signature, which raises the possibility that PPAR agonists may be targeting neurons rather than glia to produce neuroprotection. Our results fill critical gaps in PPAR distribution and define novel cell type specificity profiles in the adult mouse and human brain.

Indexed as

AmygdalaAnimalsCell CommunicationCell LineageGene Expression RegulationHumansImmunoglobulin IsotypesMiceNeurodegenerative DiseasesNeuronsPeroxisome Proliferator-Activated ReceptorsPrefrontal CortexProtein IsoformsRNA, MessengerImmunoglobulin IsotypesPeroxisome Proliferator-Activated ReceptorsProtein IsoformsRNA, Messenger

Identifiers

PMID27283430
PMCPMC4901333
OpenAlexW2412971846

What OpenQuestion holds

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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.