ミヤタ マリコ   Miyata Mariko
  宮田 麻理子
   所属   医学部 医学科
   職種   教授・講座主任
論文種別 原著
言語種別 英語
査読の有無 査読あり
表題 Effectively Axonal-supercharged Interpositional Jump-Graft with an Artificial Nerve Conduit for Rat Facial Nerve Paralysis
掲載誌名 正式名:Plastic and reconstructive surgery. Global open
略  称:Plast Reconstr Surg Glob Open
ISSNコード:21697574
巻・号・頁 3,e416頁
著者・共著者 Niimi Yosuke†, Matsumine Hajime*, Takeuchi Yuichi, Sasaki Ryo, Watanabe Yorikatsu, Yamato Masayuki, Miyata Mariko, Sakurai Hiroyuki
発行年月 2015/06
概要 Background: Interpositional jump graft (IPJG) is a nerve graft axonally
supercharged from the hypoglossal nerve. However, for using the technique,
an autologous nerve, which should contain the great auricular and sural
nerves, must be obtained. Depending on the donor site, unavoidable issues
such as nerve disorders and postoperative scarring may appear. To reduce
the issues, in this study, the authors developed an end-to-side neurorrhaphy
technique with the recipient nerve and an artificial nerve conduit and
investigated the efficacy of an IPJG with an artificial nerve conduit in a rat
facial nerve paresis model.
Methods: A ligature clip was used to crush the facial nerve trunk, thereby
creating a partial facial nerve paresis model. An artificial nerve conduit
was then prepared with a 10-mm-long silicone tube containing 10 μL type
I collagen and used to create an IPJG between the facial nerve trunk and
the hypoglossal nerve (the silicone tube group). Thirteen weeks after the
surgery, the outcome was histologically and physiologically compared with
conventional IPJG with autograft using the great auricular nerve.
Results: Retrograde tracer test confirmed a double innervation by the facial
and hypoglossal nerve nuclei. In the autograft and silicone tube groups,
the regeneration of myelinated axons was observed.
Conclusion: In this study, the authors successfully developed an end-to-side
neurorrhaphy technique with the recipient nerve and an artificial nerve
conduit, and revealed that an IPJG in the conduit was effective in the
rat facial nerve paresis model.
DOI 10.1097/GOX.0000000000000397
PMID 26180717