Evidence map›Paper›PMID 41465444›Full record

ArticleInternational journal of molecular sciences2025

Peroxisome Proliferator-Activated Receptor α/δ/γ Activation Profile by Endogenous Long-Chain Fatty Acids.

Akihiro Honda, Aoi Hosoda, Waka Kamichatani, Midori Ogasawara, Shiori Miyazaki, Nonoka Kashiwagi, Shotaro Kamata, Isao Ishii

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in International journal of molecular sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. 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

8 authors.

Akihiro HondaDepartment of Health Chemistry, Showa Pharmaceutical University, Machida, Tokyo 194-8543, Japan.ORCID 0009-0005-3611-5584
Aoi HosodaDepartment of Health Chemistry, Showa Pharmaceutical University, Machida, Tokyo 194-8543, Japan.
Waka KamichataniDepartment of Health Chemistry, Showa Pharmaceutical University, Machida, Tokyo 194-8543, Japan.
Midori OgasawaraDepartment of Health Chemistry, Showa Pharmaceutical University, Machida, Tokyo 194-8543, Japan.
Shiori MiyazakiDepartment of Health Chemistry, Showa Pharmaceutical University, Machida, Tokyo 194-8543, Japan.
Nonoka KashiwagiDepartment of Health Chemistry, Showa Pharmaceutical University, Machida, Tokyo 194-8543, Japan.
Shotaro KamataDepartment of Health Chemistry, Showa Pharmaceutical University, Machida, Tokyo 194-8543, Japan.ORCID 0000-0002-2400-6533
Isao IshiiDepartment of Health Chemistry, Showa Pharmaceutical University, Machida, Tokyo 194-8543, Japan.ORCID 0000-0002-5367-205X

Funding

Japan Society for the Promotion of Science 22H05577Japan Society for the Promotion of Science 22K15049
6 · The paper itself

Abstract

There is a wealth of information available about endogenous fatty acid ligands for peroxisome proliferator-activated receptor α/δ/γ (PPARα/δ/γ); however, there are few comparative studies of PPARα/δ/γ activation using standardized experimental systems. This study investigated which of 14 major free long-chain fatty acids (LCFAs: C12:0-C22:6) and 15-deoxy-Δ

Indexed as

Fatty AcidsPPAR alphaPPAR deltaPPAR gammaHumansLigandsProstaglandin D2Fatty AcidsLigandsPPAR alphaPPAR deltaPPAR gammaProstaglandin D215-deoxy-Δ12,14-prostaglandin J2coactivator recruitmentendogenous ligandligand-binding domainnon-esterified fatty acidsnuclear receptorperoxisome proliferator-activated receptortherapeuticstime-resolved fluorescence resonance energy transfertranscriptional factor

Identifiers

PMID41465444
PMCPMC12732646

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.