Systematic review of survival time in experimental mouse stroke with impact on reliability of infarct estimation

Carina Kirstine Klarskov1, Mikkel Buster Klarskov1, Henrik Hasseldam1

  • 1University of Copenhagen, Faculty of Health and Medical Sciences-Department of Biomedicine, BRIC, Københavns Biocenter, Ole Maaloes vej 5, Copenhagen 2200-N, Denmark.

Abstract

Insights

Estimating stroke infarct size in mice is challenging due to edema. Studies often measure infarcts at peak edema, but lack a standard method for correction, hindering translation to human stroke treatments.

Area of Science:

  • Neurology
  • Experimental Medicine
  • Biomedical Research

Background:

  • Stroke is a leading global cause of death, with limited acute treatments.
  • Current research faces challenges in translating experimental stroke findings to clinical trials.
  • Edema formation significantly impacts infarct size estimation in mouse models of stroke.

Purpose of the Study:

  • To review experimental mouse stroke studies and correlate survival time with peak edema.
  • To assess if studies corrected infarct measurements for edema.
  • To compare different methods used for edema correction in stroke research.

Main Methods:

  • A systematic literature search was conducted using PubMed.
  • Studies were analyzed for infarct measurement and edema correction methodologies.
  • A classification system was developed for infarct measurement techniques.

Main Results:

  • Infarct size estimations in mouse stroke models are frequently performed around 24 hours, coinciding with peak edema.
  • While most studies acknowledge edema, there is no consensus on correction methods.
  • Significant differences exist in how edema impacts infarct measurements across studies.

Conclusions:

  • Standardization of edema correction methods is crucial for reliable infarct size estimation in experimental stroke.
  • Future research should utilize longer survival times to better assess neuroprotective effects.
  • Addressing methodological inconsistencies will improve the translational validity of mouse stroke models.

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