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Advances in Cytotoxicity Testing: From In Vitro Assays to In Silico Models.

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Summary

Modern toxicology is advancing beyond basic cell viability assays. New Approach Methodologies (NAMs) integrate computational toxicology and advanced in vitro models for more predictive and mechanistically informed safety assessments.

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3D cell culturecytotoxicity assayshigh-content imagingin silico modelsintegrated testing strategies (IATA)organ-on-a-chiptoxicity testing

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Area of Science:

  • Toxicology
  • Cell Biology
  • Computational Science

Background:

  • Classical cytotoxicity assays (MTT, LDH, neutral red) are foundational but lack mechanistic depth and physiological relevance.
  • The field is shifting towards human-centered approaches for more predictive toxicology.
  • Limitations in traditional methods necessitate the development of advanced testing strategies.

Purpose of the Study:

  • To explore the evolution of cytotoxicity testing from classical assays to advanced methodologies.
  • To highlight the integration of computational toxicology with novel in vitro models.
  • To emphasize the development of predictive, mechanism-anchored frameworks for safety assessment.

Main Methods:

  • High-content imaging, flow cytometry, and real-time impedance analysis for multiparametric cytotoxicity assessment.
  • In silico models including Quantitative Structure-Activity Relationships (QSAR), machine learning, and physiologically based pharmacokinetic (PBPK) modeling.
  • Integration of computational tools with 3D organoids, organ-on-chip systems, and stem cell-based models.

Main Results:

  • Advanced methods enable detection of adaptive and sub-lethal cellular responses.
  • In silico models facilitate quantitative in vitro-in vivo extrapolation (QIVIVE).
  • Integration of computational and experimental approaches enhances mechanistic interpretation and translational accuracy.

Conclusions:

  • New Approach Methodologies (NAMs) and Integrated Approaches to Testing and Assessment (IATA) represent a paradigm shift in toxicology.
  • These frameworks bridge in silico predictions with in vitro and in vivo validation for enhanced accuracy.
  • The evolution advances both biomedical research and regulatory toxicology by providing predictive, mechanism-anchored safety evaluations.