Detection of seizurogenic compounds in human and rat neurons in vitro: A multi-laboratory, multi-model assessment

Ruth Roberts1, Ksenia Blinova2, Coby Carlson3

  • 1ApconiX, Macclesfield SK10 4TG, United Kingdom; Department of Biosciences, University of Birmingham, Edgbaston B15 1TT, United Kingdom.

Neurotoxicology
|July 13, 2026
PubMed

Insights

This study shows that human induced pluripotent stem cell-derived neural cultures provide a consistent model for detecting seizure liability using multielectrode array (MEA) technology across multiple labs.

Area of Science:

  • Neuroscience
  • Toxicology
  • Stem Cell Biology

Background:

  • Seizure liability is a significant risk in drug development and chemical exposure.
  • Advances in induced pluripotent stem cell (iPSC) technology and multielectrode array (MEA) offer new in vitro screening methods.

Purpose of the Study:

  • To determine optimal methods, models, and parameters for large-scale nonclinical seizure liability assessment.
  • To evaluate the performance of human iPSC-derived neural cultures and primary rat cortical neurons in MEA-based seizure detection.

Main Methods:

  • A multi-laboratory assessment involving 7 sites across 3 continents.
  • Evaluation of 10 pro-convulsant compounds and 3 negative controls using MEA on human iPSC-derived and rat cortical neurons.
  • Analysis of spontaneous electrical activity and key metrics like mean interspike distance (mean ISI) and median burst rate.

Main Results:

  • Both human and rat models showed similar changes in MEA metrics across laboratories and compounds.
  • The human iPSC model demonstrated greater consistency in results across sites.
  • Seizurogenic compounds induced the most significant changes in MEA profiles, with mean ISI decreasing for most compounds.

Conclusions:

  • Human iPSC-derived neural cultures offer a more consistent model for MEA-based seizure liability assessment compared to rat neurons.
  • Standardization of protocols and careful model characterization are crucial for reliable nonclinical seizure risk evaluation.
  • MEA technology with iPSC models represents a promising approach for compound screening.

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