E-viri
Recenzirano
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Jin, Fei; Li, Tong; Yuan, Tao; Du, Lijuan; Lai, Chengteng; Wu, Qi; Zhao, Ying; Sun, Fengyu; Gu, Long; Wang, Ting; Feng, Zhang‐Qi
Advanced materials (Weinheim), 12/2021, Letnik: 33, Številka: 48Journal Article
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. A physiologically self‐regulated, fully implantable, battery‐free neural electrical stimulation system is successfully constructed to produce physiologically electrical signals for the acceleration of regeneration and functional recovery of peripheral nerve injury.
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Leto | Faktor vpliva | Izdaja | Kategorija | Razvrstitev | ||||
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JCR | SNIP | JCR | SNIP | JCR | SNIP | JCR | SNIP |
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in: SICRIS
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