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Liver Microphysiological Systems for Predicting and Evaluating Drug Effects.

Alexandre J S Ribeiro1, Xinning Yang2, Vikram Patel1

  • 1Division of Applied Regulatory Science, Office of Translational Science, Office of Clinical Pharmacology, Center for Drug Evaluation and Research, US Food and Drug Administration, Silver Spring, Maryland, USA.

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Summary
This summary is machine-generated.

Liver microphysiological systems (MPS) mimic the body, improving drug testing accuracy. These advanced organs-on-a-chip platforms enhance cell culture to better predict clinical drug effects and liver toxicity.

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Area of Science:

  • * Pharmacology and Toxicology
  • * Biomedical Engineering
  • * Cell Biology

Background:

  • * The liver is crucial for drug metabolism and a common site for adverse drug reactions.
  • * Microphysiological systems (MPS), or organs-on-a-chip, are microfluidic devices that replicate tissue microenvironments.
  • * Liver MPS aim to reproduce the liver's 3D structure, fluid flow, and cellular complexity.

Purpose of the Study:

  • * To review liver MPS properties that enhance cell culture physiology.
  • * To emphasize the importance of physiological microenvironments for drug effect modeling.
  • * To discuss advances in modeling hepatic function using MPS.

Main Methods:

  • * Review of existing literature on liver MPS design and application.
  • * Focus on recreating key liver microenvironment features (3D structure, fluid dynamics, cell types).
  • * Analysis of MPS capabilities in drug testing and functional endpoint measurement.

Main Results:

  • * Liver MPS demonstrate potential in predicting clinical drug effects.
  • * Recreating physiological microenvironments in MPS improves drug evaluation.
  • * Advances in MPS enable better modeling of hepatic drug metabolism and toxicity.

Conclusions:

  • * Liver MPS offer a promising platform for preclinical drug testing.
  • * Standardization of MPS use, quality control, and data interpretation is needed.
  • * Further development of liver MPS will enhance drug safety assessment and personalized medicine.