Transcorneal Freezing in Aged Rabbits as a Platform for Evaluating Corneal Endothelial Cell Therapeutics

Lauren E Cornell1, Eric J Snider1, Jennifer S McDaniel1

  • 1Sensory Trauma Research Division, United States Army Institute of Surgical Research, Fort Sam Houston, TX.

Abstract

Insights

Transcorneal freezing in aged rabbits causes significant corneal endothelium damage but shows innate cell regrowth. Establishing this recovery rate is crucial for evaluating new eye injury therapies.

Area of Science:

  • Ophthalmology
  • Regenerative Medicine
  • Animal Models

Background:

  • Transcorneal freezing is a standard method for inducing corneal endothelium damage in rabbits.
  • Previous research has explored various freezing parameters and rabbit ages.

Purpose of the Study:

  • To characterize the aged rabbit corneal endothelium response to transcorneal freezing.
  • To establish the innate corneal endothelial cell regrowth rate in aged rabbits.
  • To propose this model for evaluating therapeutic efficacy.

Main Methods:

  • Aged New Zealand White rabbits (18-24 months) underwent transcorneal freezing using nitrous oxide cooled probes for 30 seconds.
  • Corneal assessments included in vivo confocal microscopy, specular microscopy, OCT, tonometry, and histology.
  • Contralateral eyes served as controls, with imaging at multiple time points post-injury.

Main Results:

  • A 95% decrease in corneal endothelium density was observed immediately post-injury, with 38% reduction by day 14, indicating linear recovery.
  • Corneal thickness temporarily increased but normalized by day 14.
  • Increased endothelial pleomorphism was noted throughout the study period; intraocular pressure remained unaffected.

Conclusions:

  • The transcorneal freezing model in aged rabbits is suitable for corneal endothelium injury and therapeutic research.
  • The model demonstrates rapid injury induction with minimal impact on corneal thickness and intraocular pressure.
  • Understanding the innate corneal endothelial cell regrowth rate is essential for accurate therapeutic efficacy assessment in this model.

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