A biodegradable and restorative peripheral neural interface for the interrogation of neuropathic injuries

IF 15.7 1区 综合性期刊 Q1 MULTIDISCIPLINARY SCIENCES Nature Communications Pub Date : 2025-02-17 DOI:10.1038/s41467-025-56089-1
Liu Wang, Tieyuan Zhang, Jiaxin Lei, Shirong Wang, Yanjun Guan, Kuntao Chen, Chaochao Li, Yahao Song, Weining Li, Shimeng Wang, Zhibo Jia, Shengfeng Chen, Jun Bai, Bingbing Yu, Can Yang, Pengcheng Sun, Qingyun Wang, Xing Sheng, Jiang Peng, Yubo Fan, Lizhen Wang, Milin Zhang, Yu Wang, Lan Yin
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Abstract

Monitoring the early-stage healing of severe traumatic nerve injuries is essential to gather physiological and pathological information for timely interventions and optimal clinical outcomes. Traditional diagnostic methods relying on physical examinations, imaging tools, and intraoperative electrophysiological testing present great challenges in continuous and remote monitoring. While implantable peripheral nerve interfaces provide direct access to nerve fibers for precise interrogation and modulation, conventional non-degradable designs pose limited utilization in nerve injury rehabilitation. Here, we introduce a biodegradable and restorative neural interface for wireless real-time tracking and recovery of long-gap nerve injuries. Leveraging machine learning techniques, this electronic platform deciphers nerve recovery status and identifies traumatic neuroma formation at the early phase, enabling timely intervention and significantly improved therapeutic outcomes. The biodegradable nature of the device eliminates the need for retrieval procedures, reducing infection risks and secondary tissue damage. This research sheds light on bioresorbable multifunctional peripheral nerve interfaces for probing neuropathic injuries, offering vital information for early diagnosis and therapeutic intervention.

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一种用于神经性损伤的可生物降解的修复性周围神经界面
监测严重外伤性神经损伤的早期愈合是收集及时干预和最佳临床结果的生理和病理信息的必要条件。传统的诊断方法依赖于体格检查、成像工具和术中电生理测试,在连续和远程监测方面面临巨大挑战。植入式周围神经接口为神经纤维的精确询问和调节提供了直接通路,但传统的不可降解设计在神经损伤康复中的应用有限。在这里,我们介绍了一种生物可降解的修复神经接口,用于无线实时跟踪和恢复长间隙神经损伤。利用机器学习技术,这个电子平台可以解读神经恢复状态,并在早期阶段识别创伤性神经瘤的形成,从而及时干预并显着改善治疗效果。该装置的可生物降解特性消除了回收程序的需要,降低了感染风险和继发性组织损伤。该研究揭示了生物可吸收的多功能周围神经界面用于探测神经性损伤,为早期诊断和治疗干预提供了重要信息。
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来源期刊
Nature Communications
Nature Communications Biological Science Disciplines-
CiteScore
24.90
自引率
2.40%
发文量
6928
审稿时长
3.7 months
期刊介绍: Nature Communications, an open-access journal, publishes high-quality research spanning all areas of the natural sciences. Papers featured in the journal showcase significant advances relevant to specialists in each respective field. With a 2-year impact factor of 16.6 (2022) and a median time of 8 days from submission to the first editorial decision, Nature Communications is committed to rapid dissemination of research findings. As a multidisciplinary journal, it welcomes contributions from biological, health, physical, chemical, Earth, social, mathematical, applied, and engineering sciences, aiming to highlight important breakthroughs within each domain.
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