Evidence map›Paper›PMID 37995945›Full record

ArticleJournal of advanced research2024

An integrated in vitro human iPSCs-derived neuron and in vivo animal approach for preclinical screening of anti-seizure compounds.

Chunfang Zhao, Ben Rollo, Muhammad Shahid Javaid, Ziyu Huang, Wen He, Hong Xu, Patrick Kwan, Chunbo Zhang

Open access · goldAbstract read
In one paragraph

Article in Journal of advanced research, 2024. 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
3.3field-weighted citation impact, top 7% 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, 22 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

8 authors at 4 institutions in 2 countries.

Chunfang ZhaoSchool of Pharmacy, Nanchang University, Nanchang 330006, PR China.
Ben RolloDepartment of Neuroscience, Central Clinical School, Monash University, Melbourne 3004, Australia.
Muhammad Shahid JavaidDepartment of Neuroscience, Central Clinical School, Monash University, Melbourne 3004, Australia.
Ziyu HuangSchool of Pharmacy, Nanchang University, Nanchang 330006, PR China.
Wen HeSchool of Pharmacy, Nanchang University, Nanchang 330006, PR China.
Hong XuInstitute of Life Science, Nanchang University, Nanchang 330031, PR China.
Patrick KwanDepartment of Neuroscience, Central Clinical School, Monash University, Melbourne 3004, Australia; Department of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing Key Laboratory of Neurology, Chongqing 400016, PR China; Departments of Neurology and Medicine, University of Melbourne, Royal Melbourne Hospital, Melbourne, Australia. Electronic address: patrick.kwan@monash.edu.
Chunbo ZhangSchool of Pharmacy, Nanchang University, Nanchang 330006, PR China; Department of Neuroscience, Central Clinical School, Monash University, Melbourne 3004, Australia; Department of Pathology and Institute of Molecular Pathology, The First Affiliated Hospital of Nanchang University, Nanchang 330006, PR China. Electronic address: cbzhang@ncu.edu.cn.
First Affiliated Hospital of Nanchang University · CNMonash University · AUChongqing Medical University · CNNanchang University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionOne-third of people with epilepsy continue to experience seizures despite treatment with existing anti-seizure medications (ASMs). The failure of modern ASMs to substantially improve epilepsy prognosis has been partly attributed to overreliance on acute rodent models in preclinical drug development as they do not adequately recapitulate the mechanisms of human epilepsy, are labor-intensive and unsuitable for high-throughput screening (HTS). There is an urgent need to find human-relevant HTS models in preclinical drug development to identify novel anti-seizure compounds.

objectivesThis paper developed high-throughput preclinical screening models to identify new ASMs.

methods14 natural compounds (α-asarone, curcumin, vinpocetine, magnolol, ligustrazine, osthole, tanshinone IIA, piperine, gastrodin, quercetin, berberine, chrysin, schizandrin A and resveratrol) were assessed for their ability to suppress epileptiform activity as measured by multi-electrode arrays (MEA) in neural cultures derived from human induced pluripotent stem cells (iPSCs). In parallel, they were tested for anti-seizure effects in zebrafish and mouse models, which have been widely used in development of modern ASMs. The effects of the compounds in these models were compared. Two approved ASMs were used as positive controls.

resultsEpileptiform activity could be induced in iPSCs-derived neurons following treatment with 4-aminopyridine (4-AP) and inhibited by standard ASMs, carbamazepine, and phenytoin. Eight of the 14 natural compounds significantly inhibited the epileptiform activity in iPSCs-derived neurons. Among them, piperine, magnolol, α-asarone, and osthole showed significant anti-seizure effects both in zebrafish and mice. Comparative analysis showed that compounds ineffective in the iPSCs-derived neural model also showed no anti-seizure effects in the zebrafish or mouse models.

conclusionOur findings support the use of iPSCs-derived human neurons for first-line high-throughput screening to identify compounds with anti-seizure properties and exclude ineffective compounds. Effective compounds may then be selected for animal evaluation before clinical testing. This integrated approach may improve the efficiency of developing novel ASMs.

Indexed as

AnticonvulsantsDrug Evaluation, PreclinicalInduced Pluripotent Stem CellsNeuronsSeizuresZebrafishAnimalsBiphenyl CompoundsCells, CulturedCoumarinsDisease Models, AnimalEpilepsyHigh-Throughput Screening AssaysHumansLignansMiceAnticonvulsantsBiphenyl CompoundsCoumarinsLignansmagnololostholAnti-seizure medicationsDrug developmentHigh-throughput screeningiPSCsNatural compounds

Identifiers

PMID37995945
PMCPMC11464642
OpenAlexW4388914582

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.