A Critical Perspective on 3D Liver Models for Drug Metabolism and Toxicology Studies

Ana S Serras1, Joana S Rodrigues1, Madalena Cipriano2

  • 1Research Institute for Medicines (iMed.ULisboa), Faculty of Pharmacy, Universidade de Lisboa, Lisbon, Portugal.

Insights

Predicting human liver toxicity from drug candidates remains challenging. Advanced three-dimensional (3D) in vitro liver models offer improved physiological relevance over traditional methods, aiding drug development.

Area of Science:

  • Pharmacology and Toxicology
  • Biotechnology
  • Drug Development

Background:

  • Poor predictability of human liver toxicity leads to high drug candidate attrition rates in the pharmaceutical industry.
  • Current animal models inadequately predict human adverse drug reactions (ADRs), failing to detect hepatotoxicity early.
  • Existing two-dimensional (2D) in vitro systems lack the physiological complexity to accurately assess drug-induced liver injury.

Purpose of the Study:

  • To review drug-induced hepatotoxicity mechanisms and current three-dimensional (3D) liver in vitro models.
  • To analyze the advantages and limitations of 3D liver models for human hepatotoxicity assessment.
  • To propose a roadmap for improved in vitro hepatotoxicity testing in drug development.

Main Methods:

  • Comprehensive literature review of drug-induced hepatotoxicity mechanisms.
  • Analysis of characteristics, advantages, and limitations of available 3D liver in vitro models.
  • Comparative analysis of toxicity studies using 2D and 3D in vitro models with known hepatotoxic compounds (paracetamol, diclofenac, troglitazone).

Main Results:

  • Three-dimensional (3D) and microfluidic liver models enhance physiological relevance by recapitulating hepatocyte organization, cell-matrix contacts, fluid flow, and gradients.
  • These advanced models show improved hepatocyte phenotype and functionality compared to 2D cultures.
  • Comparative studies highlight the superior ability of 3D models to predict toxicity of known hepatotoxic compounds, emphasizing the need for standardized characterization.

Conclusions:

  • Advanced 3D liver in vitro models significantly improve the prediction of human hepatotoxicity compared to traditional methods.
  • Harmonization of characterization methods for in vitro models is crucial for reliable toxicity assessment.
  • A roadmap for fit-for-purpose in vitro models is proposed to enhance drug development decision-making and risk assessment.

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