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Updated: Jun 4, 2026

Vein Interposition Model: A Suitable Model to Study Bypass Graft Patency
Published on: January 15, 2017
Functional recovery of sciatic nerve through inside-out vein graft in rats
Rahim Mohammadi1, Saeed Azizi, Nowruz Delirezh
1Department of Clinical Sciences, Faculty of Veterinary Medicine, Urmia University, Nazloo Road, Urmia, Iran.
Objective:
Present study aimed at further comprehensive functional, histomorphometrical and immunohistochemical assessment of peripheral nerve regeneration using rat sciatic nerve transection model.
Methods:
The 10-mm rat sciatic nerve gap was created in rats. In control group nerve stumps were sutured to adjacent muscle and in treatment group the gap was bridged using an inside-out vein graft. In sham-operated group the nerve was manipulated and left intact. All animals underwent walking track analysis test 4, 8, and 12 weeks after surgery. Subsequently, muscle mass measurement was performed to assess reenervation, histological examination to observe the sciatic nerve regeneration morphologically and immunohistochemistry to detect Schwann cells using anti S-100. Results were analyzed using a factorial ANOVA with two between-subjects factors. Bonferroni test for pairwise comparisons was used to examine the effect of treatments.
Results:
Functional analysis of myelinated nerve fibers showed that nerve function improved significantly in the time course in treatment group. However, quantitative morphometrical analysis of myelinated nerve fibers showed that there was no significant difference between 8 and 12 weeks in treatment group. Muscle weight ratio was bigger and weight loss of the gastrocnemius muscle was ameliorated by inside-out vein grafting. The position of positive immunohistochemical reactions further implied that regenerated axons and Schwann cell-like cells existed after vein grafting was performed, and was accompanied by the process of myelination and structural recovery of regenerated nerves.
Conclusion:
Functional analysis of peripheral nerve repair is far more reliable than quantitative morphometrical analysis.
