A self-wrapping, bioresorbable neural interface for wireless multimodal therapy of localized peripheral nerve injury

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<sub>x</sub> 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.

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Publication Details

Journal
Proceedings of the National Academy of Sciences
Published
2026-01-09
DOI
https://doi.org/10.1073/pnas.2521817123
Primary Topic
Neuroscience and Neural Engineering
Type
article
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article

A self-wrapping, bioresorbable neural interface for wireless multimodal therapy of localized peripheral nerve injury

Mei Ya, Dongqi An, Dian Xu, Lianjie Zhou et al.
Proceedings of the National Academy of Sciences
Neuroscience and Neural Engineering
article

A self-wrapping, bioresorbable neural interface for wireless multimodal therapy of localized peripheral nerve injury

Mei Ya, Dongqi An, Dian Xu, Lianjie Zhou, Fuying Liang, Bofan Hu, Ningge Huang, G. S. Huang, Lu Yin, Kun Liu, Junjian Li, Chengjie Guo, Pengchuan Liu, Enming Song, Yuting Shao, Rui Li, Li Chen
article en

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<sub>x</sub> 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.

Proceedings of the National Academy of SciencesVol. 123(2)
Tongji University (CN), Allen Institute for Brain Science (US), Fudan University (CN), Dalian University of Technology (CN), Integrated Optoelectronics (Norway) (NO), Yiwu Science and Technology Research Institute (CN), Tongji Hospital (CN)
Good health and well-being
Openalex Percentile: Top 93%
Neuroscience and Neural Engineering
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