Poor Translatability of Biomedical Research Using Animals - A Narrative Review

Lindsay J Marshall1, Jarrod Bailey2, Manuela Cassotta3

  • 1Animal Research Issues, 94219The Humane Society of the United States, Gaithersburg, MD, USA.

Insights

Drug development fails over 92% of the time due to poor translation from animal models. Innovative tools like organs-on-chips show promise for predicting safety and efficacy in human-relevant preclinical drug testing.

Area of Science:

  • Pharmacology and Toxicology
  • Translational Medicine
  • Drug Discovery

Background:

  • The drug development pipeline faces a persistent failure rate exceeding 92% in translating animal test results to human treatments.
  • These failures are primarily attributed to unexpected toxicity and lack of efficacy observed in human trials, which were not predicted by traditional animal models.
  • This highlights a critical gap in current preclinical testing methodologies for ensuring drug safety and effectiveness.

Purpose of the Study:

  • To review disease areas where animal models have historically failed to yield effective human treatments.
  • To explore the potential of innovative, human-relevant new approach methodologies (NAMs) in preclinical drug testing.
  • To provide recommendations for applying NAMs to improve drug safety and efficacy prediction.

Main Methods:

  • Review of scientific literature and preclinical data across various disease areas.
  • Analysis of the limitations of conventional animal testing in predicting human responses.
  • Evaluation of emerging technologies, specifically organs-on-chips, for preclinical drug assessment.

Main Results:

  • Animal models demonstrate significant limitations in predicting drug toxicity and efficacy, contributing to high failure rates in clinical translation.
  • Organs-on-chips and other NAMs show superior ability in identifying potential safety issues and predicting efficacy compared to traditional animal testing.
  • Evidence suggests NAMs can improve the accuracy of preclinical safety and efficacy assessments.

Conclusions:

  • The high failure rate in drug translation underscores the inadequacy of animal models for predicting human responses.
  • New approach methodologies, such as organs-on-chips, offer a more human-relevant and predictive alternative for preclinical drug testing.
  • Adoption of NAMs is crucial for enhancing the efficiency and success rate of drug development, leading to safer and more effective human treatments.

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