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Published on: August 16, 2017
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.
Abstract:
The failure rate for the translation of drugs from animal testing to human treatments remains at over 92%, where it has been for the past few decades. The majority of these failures are due to unexpected toxicity - that is, safety issues revealed in human trials that were not apparent in animal tests - or lack of efficacy. However, the use of more innovative tools, such as organs-on-chips, in the preclinical pipeline for drug testing, has revealed that these tools are more able to predict unexpected safety events prior to clinical trials and so can be used for this, as well as for efficacy testing. Here, we review several disease areas, and consider how the use of animal models has failed to offer effective new treatments. We also make some suggestions as to how the more human-relevant new approach methodologies might be applied to address this.
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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