Evidence map›Paper›PMID 40127470›Full record

ReviewACS chemical biology2025

The Hunt for the Putative Epoxyeicosatrienoic Acid Receptor.

William R Arnold, Sona Jain, Vidya Sinha, Aditi Das

Abstract readReview
In one paragraph

Review in ACS chemical biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. 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.

William R ArnoldStanford Cryo-EM Center, Stanford University School of Medicine, Palo Alto, California 94305, United States.
Sona JainDepartamento de Morfologia, Universidade Federal de Sergipe, São Cristóvão 49100-000, Sergipe, Brazil.
Vidya SinhaThe Center for Advanced Studies in Science, Math and Technology at Wheeler High School, Marietta, Georgia 30068, United States.
Aditi DasSchool of Chemistry and Biochemistry, Georgia Institute of Technology (GaTech), Atlanta, Georgia 30332, United States.ORCID 0000-0002-6731-6726

Funding

Biochemistry of membrane proteins involved in lipid and cannabinoid metabolismR35GM152121 · NIGMS · GEORGIA INSTITUTE OF TECHNOLOGY · PI Aditi Das · 2024 to 2026
$1.1M
NIGMS NIH HHS R35 GM152121
6 · The paper itself

Abstract

Epoxyeicosatrienoic acids, or EETs, are signaling molecules formed by the metabolism of arachidonic acid by cytochrome P450 enzymes. They are well-known for their anti-inflammatory effects, their ability to lower blood pressure, and benefits to cardiovascular outcomes. Despite the wealth of data demonstrating their physiological benefits, the putative high-affinity receptor that mediates these effects is yet to be identified. The recent report that the sphingosine-1-phosphate receptor 1 (S1PR1) is a high-affinity receptor for a related epoxy lipid prompted us to ask, "Why has the putative EET receptor not been discovered yet? What information about the discoveries of lipid epoxide receptors can help us identify the putative EET receptor?" In this review, we summarize the evidence supporting that the putative EET receptor exists. We then review the data showing EETs binding to other, low-affinity receptors and the discovery of receptors for similar lipid metabolites that can serve as a model for identifying the putative EET receptor. We hope this review will revitalize the search for this important receptor, which can facilitate the development of anti-inflammatory and cardiovascular therapeutics.

Indexed as

8,11,14-Eicosatrienoic AcidReceptors, EicosanoidAnimalsHumans8,11,14-Eicosatrienoic AcidReceptors, Eicosanoid

Identifiers

PMID40127470
PMCPMC12012780

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.