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Updated: Aug 2, 2025

Advanced 3D Liver Models for In vitro Genotoxicity Testing Following Long-Term Nanomaterial Exposure
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Liver three-dimensional cellular models for high-throughput chemical testing.

Shu Yang1, Masato Ooka1, Ryan Jared Margolis1

  • 1Division of Preclinical Innovation, National Center for Advancing Translational Sciences, National Institutes of Health, Bethesda, MD 20892, USA.

Cell Reports Methods
|April 14, 2023
PubMed
Summary
This summary is machine-generated.

Three-dimensional (3D) liver models offer improved metabolic function over traditional 2D models for drug-induced hepatotoxicity screening. These advanced models better predict in vivo liver toxicity, aiding drug development and safety assessments.

Keywords:
3D liver modelsdrug toxicityhigh-throughput screeningin vitro assaysliver organoidsliver spheroids

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Area of Science:

  • Hepatotoxicity and Drug Development
  • In Vitro Toxicology Models
  • Liver Cell Culture Systems

Background:

  • Drug-induced hepatotoxicity is a major reason for drug withdrawal.
  • Current in vitro models (monolayer hepatocytes, HepG2, HepaRG) have limitations in mimicking in vivo metabolic competence for chronic toxicity testing.
  • There is a need for more predictive liver models for drug safety assessment.

Purpose of the Study:

  • To review the development of three-dimensional (3D) liver models for drug and chemical toxicity testing.
  • To discuss the advantages and limitations of 3D liver models in high-throughput screening (HTS).
  • To highlight the potential of 3D models in improving early-stage liver toxicity testing.

Main Methods:

  • Review of current literature on the development and application of 3D liver models.
  • Comparison of 3D liver models with traditional 2D cell culture systems (monolayer hepatocytes, HepG2, HepaRG).
  • Evaluation of the recapitulation of in vivo liver function and metabolic capacity by 3D models.

Main Results:

  • 3D liver models demonstrate enhanced recapitulation of normal liver function and metabolic capacity compared to 2D models.
  • These models show potential for more accurate prediction of drug-induced liver injury.
  • 3D liver models offer advantages for both short-term and potentially long-term toxicological assessments.

Conclusions:

  • 3D liver models represent a significant advancement over traditional 2D systems for in vitro drug toxicity screening.
  • Their improved physiological relevance makes them valuable tools for high-throughput screening in drug discovery.
  • Further development and validation of 3D liver models are crucial for enhancing drug safety and reducing market withdrawals due to hepatotoxicity.