A self-wrapping, bioresorbable neural interface for wireless multimodal therapy of localized peripheral nerve injury
Abstract
High-precision in vivo therapeutic technologies that establish three-dimensional (3D), multimodal neural interfaces with targeted biotissues offer significant clinical potential for the timely treatments of localized peripheral nerve injury (PNI). Current approaches for this purpose such as implantable devices face challenges in terms of percutaneous wires and/or nondegradable designs, and support only single-mode operation that lack microscale spatial resolution. Here, we develop a miniaturized, self-wrapping system that yields wireless, multimodal neural interfaces with 3D adaptation across localized peripheral nerves at scales ranging from tens of micrometers (15 μm) to millimeters. Such platform integrates multilayer architectures that include SiN x layers as the mechanically triggered substrate for 3D wrapping, with multimodal treatments via MXene and drug-loaded layers for photothermal stimulation and pharmacological release. Experimental and computational studies establish operational principle as the basis for the combination of long-term photothermal therapy and transient drug delivery at high spatiotemporal resolution. In vivo tests on living rat models demonstrate that the implantable neural interface can roll up across the localized, dynamic surface of injured nerves, providing sustained treatments over 1 mo in a fully bioresorbable design after the healing process. These findings create future opportunities of such wireless, multimodal system with 3D self-wrapping techniques for precise PNI therapeutic strategies.
Article Details
Journal Info
Proceedings of the National Academy of Sciences
National Academy of Sciences
Authors (18)
Pengchuan Liu
Institute of Optoelectronics and College of Future Information Technology, College of Intelligent Robotics and Advanced Manufacturing, Shanghai Frontiers Science Research Base of Intelligent Optoelectronics and Perception, Fudan University
Lianjie Zhou
Institute of Optoelectronics and College of Future Information Technology, College of Intelligent Robotics and Advanced Manufacturing, Shanghai Frontiers Science Research Base of Intelligent Optoelectronics and Perception, Fudan University
Dian Xu
School of Mechanics and Aerospace Engineering, State Key Laboratory of Structural Analysis, Optimization and Computer Aided Engineering Software for Industrial Equipment, and International Research Center for Computational Mechanics, Dalian University of Technology
Dongqi An
School of Mechanics and Aerospace Engineering, State Key Laboratory of Structural Analysis, Optimization and Computer Aided Engineering Software for Industrial Equipment, and International Research Center for Computational Mechanics, Dalian University of Technology
Yifei Lu
Bofan Hu
Institute of Optoelectronics and College of Future Information Technology, College of Intelligent Robotics and Advanced Manufacturing, Shanghai Frontiers Science Research Base of Intelligent Optoelectronics and Perception, Fudan University
Yuting Shao
Department of Ophthalmology, Tongji Hospital, School of Medicine, Tongji University
Ningge Huang
Institute of Optoelectronics and College of Future Information Technology, College of Intelligent Robotics and Advanced Manufacturing, Shanghai Frontiers Science Research Base of Intelligent Optoelectronics and Perception, Fudan University
Chengjie Guo
School of Mechanics and Aerospace Engineering, State Key Laboratory of Structural Analysis, Optimization and Computer Aided Engineering Software for Industrial Equipment, and International Research Center for Computational Mechanics, Dalian University of Technology
Li Chen
Jinbao Li
Department of Geography, University of Hong Kong
Jiahao Li
Fuying Liang
Institute of Optoelectronics and College of Future Information Technology, College of Intelligent Robotics and Advanced Manufacturing, Shanghai Frontiers Science Research Base of Intelligent Optoelectronics and Perception, Fudan University
Junhan Liu
Institute of Optoelectronics and College of Future Information Technology, College of Intelligent Robotics and Advanced Manufacturing, Shanghai Frontiers Science Research Base of Intelligent Optoelectronics and Perception, Fudan University
Gaoshan Huang
International Institute of Intelligent Nanorobots and Nanosystems & State Key Laboratory of Surface Physics, College of Intelligent Robotics and Advanced Manufacturing, Fudan University
Yongfeng Mei
International Institute of Intelligent Nanorobots and Nanosystems & State Key Laboratory of Surface Physics, College of Intelligent Robotics and Advanced Manufacturing, Fudan University
Rui Li
Enming Song
Shanghai Frontiers Science Research Base of Intelligent Optoelectronics and Perception, Institute of Optoelectronics