Neural Regeneration Research ›› 2013, Vol. 8 ›› Issue (14): 1269-1275.doi: 10.3969/j.issn.1673-5374.2013.14.003

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Comparison of viscoelasticity between normal human sciatic nerve and amniotic membrane

Donghui Xu1, Conghai Zhao1, Huili Ma2, Jun Wei1, Dongyuan Li1   

  1. 1 Department of Neurosurgery, China-Japan Union Hospital, Jilin University, Changchun 130031, Jilin Province, China
    2 Department of Road & Bridge, College of Transportation, Jilin University, Changchun 130022, Jilin Province, China
  • Received:2012-08-10 Revised:2013-01-10 Online:2013-05-15 Published:2013-05-15
  • Contact: Dongyuan Li, Associate chief physician, Department of Neurosurgery, China-Japan Union Hospital, Jilin University, Changchun 130031, Jilin Province, China, Lidy@jiu.edu.cn.
  • About author:Donghui Xu★, Master, Attending physician.

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Abstract:

Sciatic nerve tissue was obtained from the gluteus maximus muscle segment of normal human cadavers and amniotic membrane tissue was obtained from healthy human puerperant placentas. Both tissues were analyzed for their stress relaxation and creep properties to determine suitability for transplantation applications. Human amniotic membrane and sciatic nerve tissues had similar tendencies for stress relaxation and creep properties. The stress value of the amniotic membrane stress relaxation group decreased to a greater extent compared with the sciatic nerve stress relaxation group. Similarly, the stress value of the amniotic membrane creep group increased to a greater extent compared with the sciatic nerve creep group. The stress relaxation curve for human amniotic membrane and sciatic nerve showed a logarithm correlation, while the creep curve showed an exponential correlation. These data indicate that amniotic membrane tissue has better stress relaxation and creep properties compared with sciatic nerve tissue.

Key words: neural regeneration, basic research, cadaver, human, sciatic nerve, amniotic membrane, stress relaxation, creep, viscoelasticity, stress, biomechanics, nerve tissue engineering, neuroregeneration