Peripheral Nerve Unit, Department of Plastic Surgery, University Hospital of Getafe, 28905 Madrid, Spain.
Department of Medicine, Faculty of Biomedical Science and Health, Universidad Europea de Madrid, 28670 Madrid, Spain.
Int J Mol Sci. 2024 Jan 17;25(2):1141. doi: 10.3390/ijms25021141.
Regenerative Peripheral Nerve Interfaces (RPNIs) encompass neurotized muscle grafts employed for the purpose of amplifying peripheral nerve electrical signaling. The aim of this investigation was to undertake an analysis of the extant literature concerning animal models utilized in the context of RPNIs. A systematic review of the literature of RPNI techniques in animal models was performed in line with the PRISMA statement using the MEDLINE/PubMed and Embase databases from January 1970 to September 2023. Within the compilation of one hundred and four articles employing the RPNI technique, a subset of thirty-five were conducted using animal models across six distinct institutions. The majority (91%) of these studies were performed on murine models, while the remaining (9%) were conducted employing macaque models. The most frequently employed anatomical components in the construction of the RPNIs were the common peroneal nerve and the extensor digitorum longus (EDL) muscle. Through various histological techniques, robust neoangiogenesis and axonal regeneration were evidenced. Functionally, the RPNIs demonstrated the capability to discern, record, and amplify action potentials, a competence that exhibited commendable long-term stability. Different RPNI animal models have been replicated across different studies. Histological, neurophysiological, and functional analyses are summarized to be used in future studies.
再生周围神经接口(RPNI)包括用于放大周围神经电信号的神经化肌肉移植物。本研究旨在对 RPNI 动物模型中使用的现有文献进行分析。根据 PRISMA 声明,使用 MEDLINE/PubMed 和 Embase 数据库,从 1970 年 1 月到 2023 年 9 月,对 RPNI 技术的动物模型进行了系统的文献回顾。在使用 RPNI 技术的一百零四篇文章中,有三十五个子集是在六个不同的机构使用动物模型进行的。这些研究中大多数(91%)是在鼠模型上进行的,而其余的(9%)是在猕猴模型上进行的。在 RPNI 构建中最常使用的解剖结构是腓总神经和趾长伸肌(EDL)。通过各种组织学技术,证明了强大的新生血管生成和轴突再生。在功能上,RPNI 表现出识别、记录和放大动作电位的能力,这种能力表现出了令人称赞的长期稳定性。不同的 RPNI 动物模型已在不同的研究中复制。总结了组织学、神经生理学和功能分析,以便在未来的研究中使用。