Animal models of stroke: translational potential at present and in 2050

Paco S Herson1, Richard J Traystman1

  • 1Department of Pharmacology, University of Colorado Denver, Anschutz Medical Campus, 12800 E 19th Avenue, Aurora, CO 80045, USA ; Department of Anesthesiology, University of Colorado Denver, Anschutz Medical Campus, 12800 E 19th Avenue, Aurora, CO 80045, USA.

Future Neurology
|December 23, 2014
PubMed

Insights

Translating basic science discoveries for ischemic stroke into effective patient treatments is challenging. This review analyzes animal models and preclinical data to identify reasons for translation failures and proposes a path forward.

Area of Science:

  • Neuroscience
  • Translational Medicine
  • Cerebrovascular Research

Background:

  • Numerous experimental stroke interventions show promise in animal models but fail in human clinical trials.
  • The gap between basic science findings and clinical efficacy in ischemic stroke treatment persists.
  • Reasons for translation failure are debated, including clinical trial design, animal model predictivity, and preclinical data quality.

Purpose of the Study:

  • To analyze commonly used animal models in ischemic stroke research.
  • To provide a framework for understanding the current state of basic science in ischemic stroke.
  • To discuss a path forward for improving translation from bench to bedside.

Main Methods:

  • Review of existing literature on animal models of cerebral ischemia.
  • Analysis of preclinical data quality and its impact on clinical translation.
  • Discussion of potential improvements in experimental design and methodology.

Main Results:

  • Identified significant limitations in the predictive value of current animal models for human ischemic stroke.
  • Highlighted inconsistencies and potential flaws in preclinical data reporting and interpretation.
  • Acknowledged that a combination of factors likely contributes to the failure of translation.

Conclusions:

  • Current animal models and preclinical research paradigms require re-evaluation for improved translation to clinical practice.
  • A critical assessment of research methodologies is necessary to bridge the gap between basic science and patient treatment for ischemic stroke.
  • Developing a clearer path forward necessitates addressing shortcomings in experimental design, model selection, and data interpretation.

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