In-depth mechanistic analysis including high-throughput RNA sequencing in the prediction of functional and structural

Alicia Rosell-Hidalgo1, Christopher Bruhn2, Emma Shardlow1

  • 1Cyprotex Discovery Ltd UK, Macclesfield, UK.

Abstract

Insights

Developing new drugs requires accurate prediction of cardiotoxicity. This study combined high-throughput RNA sequencing, imaging, and calcium transient analysis in human-induced pluripotent stem cell-derived cardiomyocytes to predict drug-induced heart damage.

Area of Science:

  • Pharmacology
  • Cardiology
  • Biotechnology

Background:

  • Drug-induced cardiotoxicity is a major cause of drug attrition in development.
  • It manifests as functional (electrophysiological, mechanical) or structural cardiac damage.
  • Improved non-clinical models are crucial for cardiac safety pharmacology.

Purpose of the Study:

  • To establish a predictive non-clinical model for drug-induced cardiotoxicity.
  • To integrate multiple high-throughput assays for comprehensive cardiac safety assessment.
  • To enable mechanism-driven risk assessment of novel compounds.

Main Methods:

  • Utilized human-induced pluripotent stem cell-derived cardiomyocytes (hiPSC-CMs).
  • Combined high-throughput RNA sequencing (ScreenSeq), high-content imaging (HCI), and Ca2+ transience (CaT) assays.
  • Analyzed responses to 33 cardiotoxicants and 9 non-cardiotoxicants.

Main Results:

  • Enabled compound clustering by mechanism of action.
  • Scored pathway activities (contractility, mitochondrial integrity, metabolism, stress).
  • Achieved high prediction performance: 89% specificity, 91% sensitivity, 90% accuracy.

Conclusions:

  • Introduced a novel, mechanism-driven risk assessment approach.
  • Integrated structural, functional, and molecular high-throughput methods.
  • Demonstrated a robust strategy for pre-clinical cardiotoxicity risk assessment.

Related Concept Videos