Literature DB >> 11358443

Sorting of regenerating rat sciatic nerve fibers with target-derived molecules.

H Jerregård1, T Nyberg, C Hildebrand.   

Abstract

The functional outcome of microsurgical repair of divided nerves is disappointing since many regenerating axons fail to reach appropriate targets. Sorting of regenerating axons according to target tissue might be used to improve functional regeneration. The aim of the present study is to see if regenerating axons can be sorted into functionally different bundles with target-derived molecules. The proximal stump of the adult rat sciatic nerve was sutured into the inlet of a silicon Y-tube. The two branches of the Y-tube were filled with agarose primed with filtrates prepared from skin and muscle homogenates from the operated rat. The tibial and sural nerves were inserted in the two branches of the Y-tube. Six weeks later the sciatic nerve axons showed vigorous regeneration into both branches. Electron microscopic examination of regenerated nerve segments showed numerous myelinated and unmyelinated axons. The proportion of myelinated axons was significantly larger in the muscle-gel branch than in the skin-gel branch. Retrograde tracing from the nerve regenerates with Fast Blue and Fluoro-Ruby showed that ventral horn neurons at L4-L5 segmental levels were preferentially labeled from the muscle-gel branch. Neurons in corresponding dorsal root ganglia were labeled from both Y-tube branches (no significant numerical difference). A few neurons of both types contained both tracers. Measurements revealed that sensory neurons labeled from the muscle-gel branch were significantly larger (mean perikaryal area 870 microm(2)) than neurons labeled from the skin-gel branch (mean area 580 microm(2)). We conclude that regenerating motor and sensory axons can be sorted with target-derived molecules. Copyright 2001 Academic Press.

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Year:  2001        PMID: 11358443     DOI: 10.1006/exnr.2001.7656

Source DB:  PubMed          Journal:  Exp Neurol        ISSN: 0014-4886            Impact factor:   5.330


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