Evidence map›Paper›PMID 24999922›Full record

ArticleBiochemistry2014

The estrogen-related receptor α inverse agonist XCT 790 is a nanomolar mitochondrial uncoupler.

Banu Eskiocak, Aktar Ali, Michael A White

Abstract read
In one paragraph

Article in Biochemistry, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
0.9field-weighted citation impact, top 26% 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

19 citing papers in PubMed, 35 citations in OpenAlex.

  1. Review
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  10. Repression of the transcriptional activity of ERRα with sequence-specific DNA-binding polyamides.Medicinal chemistry research : an international journal for rapid communications on design and mechanisms of action of biologically active agents · 2020
    Article
  11. Review
  12. Inhibition of ERROxidative medicine and cellular longevity · 2020
    Article
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  15. Review
  16. Article
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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

3 authors at 1 institution in 1 country.

Banu EskiocakDepartment of Cell Biology, University of Texas Southwestern Medical Center , Dallas, Texas 75390, United States.
Aktar Ali
Michael A White
The University of Texas Southwestern Medical Center · US

Funding

COMPONENTS OF RAS-MEDIATED GROWTH CONTROLR01CA071443 · NCI · UT SOUTHWESTERN MEDICAL CENTER · PI WHITE, MICHAEL A. · 1996 to 2015
$4.8M
NCI NIH HHS CA71443
6 · The paper itself

Abstract

XCT 790 is widely used to inhibit estrogen-related receptor α (ERRα) activity as an inverse agonist. Here, we report that XCT 790 potently activates AMP kinase (AMPK) in a dose-dependent and ERRα-independent manner, with active concentrations more than 25-fold below those typically used to perturb ERRα. AMPK activation is secondary to inhibition of energy production as XCT 790 rapidly depletes the pool of cellular ATP. A concomitant increase in oxygen consumption rates suggests uncoupling of the mitochondrial electron transport chain. Consistent with this, XCT 790 decreased mitochondrial membrane potential without affecting mitochondrial mass. Therefore, XCT 790 is a potent, fast-acting, mitochondrial uncoupler independent of its inhibition of ERRα. The biological activity together with structural features in common with the chemical uncouplers FCCP and CCCP indicates likely mode of action as a proton ionophore.

Indexed as

Cell LineCell SurvivalDrug Inverse AgonismERRalpha Estrogen-Related ReceptorHumansMembrane Potential, MitochondrialMitochondriaNitrilesOxidation-ReductionOxygen ConsumptionPhosphorylationProton IonophoresReceptors, EstrogenThiazolesERRalpha Estrogen-Related ReceptorNitrilesProton IonophoresReceptors, EstrogenThiazolesXCT790

Identifiers

PMID24999922
PMCPMC4116149
OpenAlexW2039541809

What OpenQuestion holds

Textmetadata
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.