Evidence map›Paper›PMID 32797628›Full record

ArticleEpilepsia2020

A multiorganism pipeline for antiseizure drug discovery: Identification of chlorothymol as a novel γ-aminobutyric acidergic anticonvulsant.

Alistair Jones, Melissa Barker-Haliski, Andrei S Ilie, Murray B Herd, Sarah Baxendale, Celia J Holdsworth, John-Paul Ashton, Marysia Placzek, Bodiabaduge A P Jayasekera, Christopher J A Cowie and 7 more

Open access · hybridAbstract read
In one paragraph

Article in Epilepsia, 2020. 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 30% 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, 13 citations in OpenAlex.

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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

17 authors at 6 institutions in 2 countries.

Alistair JonesInstitute of Translational Medicine, University of Liverpool, Liverpool, UK.
Melissa Barker-HaliskiDepartment of Pharmacy, University of Washington, Seattle.ORCID 0000-0002-8175-0553
Andrei S IlieInstitute of Neuroscience, University of Newcastle, Newcastle, UK.
Murray B HerdNeuroscience, Division of Systems Medicine, Ninewells Hospital and Medical School, University of Dundee, Dundee, UK.
Sarah BaxendaleDepartment of Biomedical Science, University of Sheffield, Sheffield, UK.
Celia J HoldsworthDepartment of Biomedical Science, University of Sheffield, Sheffield, UK.
John-Paul AshtonDepartment of Biomedical Science, University of Sheffield, Sheffield, UK.
Marysia PlaczekDepartment of Biomedical Science, University of Sheffield, Sheffield, UK.
Bodiabaduge A P JayasekeraInstitute of Neuroscience, University of Newcastle, Newcastle, UK.
Christopher J A CowieInstitute of Neuroscience, University of Newcastle, Newcastle, UK.
Jeremy J LambertNeuroscience, Division of Systems Medicine, Ninewells Hospital and Medical School, University of Dundee, Dundee, UK.
Andrew J TrevelyanInstitute of Neuroscience, University of Newcastle, Newcastle, UK.
H Steve WhiteDepartment of Pharmacy, University of Washington, Seattle.
Anthony G MarsonInstitute of Translational Medicine, University of Liverpool, Liverpool, UK.
Vincent T CunliffeDepartment of Biomedical Science, University of Sheffield, Sheffield, UK.
Graeme J SillsInstitute of Translational Medicine, University of Liverpool, Liverpool, UK.
Alan MorganInstitute of Translational Medicine, University of Liverpool, Liverpool, UK.ORCID 0000-0002-0346-1289
University of Sheffield · GBUniversity of Liverpool · GBNewcastle University · GBRoyal Victoria Infirmary · GBUniversity of Dundee · GBUniversity of Washington · US

Funding

NCCIH Supplement to NCATS/CTSA Program for KL2 Scholars - M. SoddersKL2TR002317 · NCATS · UNIVERSITY OF WASHINGTON · PI Christy Michelle McKinney · 2017 to 2026
$14.5M
Medical Research Council G0802527Medical Research Council MR/R005427/1NCATS NIH HHS KL2 TR002317
6 · The paper itself

Abstract

objectiveCurrent medicines are ineffective in approximately one-third of people with epilepsy. Therefore, new antiseizure drugs are urgently needed to address this problem of pharmacoresistance. However, traditional rodent seizure and epilepsy models are poorly suited to high-throughput compound screening. Furthermore, testing in a single species increases the chance that therapeutic compounds act on molecular targets that may not be conserved in humans. To address these issues, we developed a pipeline approach using four different organisms.

methodsWe sequentially employed compound library screening in the zebrafish, Danio rerio, chemical genetics in the worm, Caenorhabditis elegans, electrophysiological analysis in mouse and human brain slices, and preclinical validation in mouse seizure models to identify novel antiseizure drugs and their molecular mechanism of action.

resultsInitially, a library of 1690 compounds was screened in an acute pentylenetetrazol seizure model using D rerio. From this screen, the compound chlorothymol was identified as an effective anticonvulsant not only in fish, but also in worms. A subsequent genetic screen in C elegans revealed the molecular target of chlorothymol to be LGC-37, a worm γ-aminobutyric acid type A (GABA SIGNIFICANCE: These findings establish a multiorganism approach that can identify compounds with evolutionarily conserved molecular targets and translational potential, and so may be useful in drug discovery for epilepsy and possibly other conditions.

Indexed as

AnimalsAnticonvulsantsCaenorhabditis elegansDose-Response Relationship, DrugDrug DiscoveryFemaleGABA-A Receptor AgonistsHumansMaleMiceMice, Inbred C57BLOrgan Culture TechniquesReceptors, GABA-ASeizuresSpecies SpecificityThymolAnticonvulsantsGABA-A Receptor AgonistsReceptors, GABA-AThymoldrug discoveryepilepsyGABAnematodezebrafish

Identifiers

PMID32797628
PMCPMC10756143
OpenAlexW3049417841

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.