Advanced Materials · 2021 · 131 citations · 42 references
EngineeringBioengineeringBiomedical EngineeringFunctional RestorationNeural EngineeringRegenerative MedicineImplantable Neural DevicesNerve RegenerationNerve RepairNeural StimulationPeripheral Nerve InjuryPeripheral Nerve StimulationElectrical StimulationImplantable Neural StimulationImplantable Peripheral Nerve StimulationNerve Conduit RepairNerve Regeneration BiomaterialsNeural Stimulation DevicesPhysiological StatesProtein Expression Profiling
The long-segment peripheral nerve injury (PNI) represents a global medical challenge, leading to incomplete nerve tissue recovery and unsatisfactory functional reconstruction. However, the current electrical stimulation (ES) apparatuses fail perfect nerve repair due to their inability of the variable synchronous self-regulated function with physiological states. It is urgent to develop an implantable ES platform with physiologically adaptive function to provide instantaneous and nerve-preferred ES. Here, a physiologically self-regulated electrical signal is generated by integrating a novel tribo/piezoelectric hybrid nanogenerator with a nanoporous nerve guide conduit to construct a fully implantable neural electrical stimulation (FI-NES) system. The optimal neural ES parameters completely originate from the body itself and are highly self-responsive to different physiological states. The morphological evaluation, representative protein expression level, and functional reconstruction of the regenerated nerves are conducted to assess the PNI recovery process. Evidence shows that the recovery effect of 15 mm length nerve defects under the guidance of the FI-NES system is significantly close to the autograft. The designed FI-NES system provides an effective method for long-term accelerating the recovery of PNI in vivo and is also appropriate for other tissue injury or neurodegenerative diseases.
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Flexible PVDF based piezoelectric nanogenerators
Lijun Lu, Wenqing Ding, Jingquan Liu et al. · Nano Energy · 2020 · 783 citations
Natural Sciences, Materials Engineering, Materials Science +14
Han Ouyang, Zhuo Liu, Ning Li et al. · Nature Communications · 2019 · 637 citations · Full text