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A Surgical Approach for Optic Nerve Crush in a Rabbit Model
Published on: July 8, 2025
Evaluation of a partial optic nerve crush model in rats
Hai-Bo Tan1, Xi Shen, Yu Cheng
1Department of Ophthalmology, Ruijin Hospital Affiliated Medical School, Shanghai Jiaotong University, Shanghai 200025, P.R. China.
A partial optic nerve crush model in rats effectively simulates optic nerve damage. Moderate crush injuries (10 seconds) are most suitable for studying optic nerve protection and regeneration, showing significant RGC loss.
Area of Science:
- Neuroscience
- Ophthalmology
- Regenerative Medicine
Background:
- Developing reliable animal models is crucial for studying optic nerve diseases.
- Partial optic nerve crush (PONC) models offer a potential avenue for investigating optic nerve protection and regeneration.
Purpose of the Study:
- To evaluate the efficacy and reliability of a partial optic nerve crush (PONC) model in rats.
- To determine the optimal crush duration for studying optic nerve damage and regeneration.
Main Methods:
- Adult Sprague-Dawley rats underwent superior colliculus (SC) retrograde 1,1'-dioctadecyl-3,3,3',3'-tetramethylindocarbocyanine perchlorate (DiI) labeling of retinal ganglion cells (RGCs).
- Rats were subjected to unilateral partial optic nerve crush (PONC) for 5, 10, or 30 seconds, or a sham procedure.
- Retinal ganglion cell densities were quantified in different retinal regions three days post-injury.
Main Results:
- Bilateral SC labeling identified more RGCs than unilateral labeling.
- Mild crush (5 sec) showed no significant difference in RGC density compared to controls.
- Moderate (10 sec) and severe (30 sec) crushes resulted in significant RGC loss, with the severe crush showing no RGCs at the retinal periphery.
Conclusions:
- The moderate PONC model (10 sec) is most suitable for studying optic nerve damage and regeneration.
- PONC models provide a valuable tool for preclinical research in optic neuropathies.
- Crush duration is a critical factor in determining the severity of RGC loss in PONC models.
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