Evidence map›Paper›PMID 39962053›Full record

ArticleNature communications2025

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

Liu Wang, Tieyuan Zhang, Jiaxin Lei, Shirong Wang, Yanjun Guan, Kuntao Chen, Chaochao Li, Yahao Song, Weining Li, Shimeng Wang and 14 more

Abstract read
In one paragraph

Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

16 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Article
  4. Biointegrated Battery-Based Electroceuticals.Advanced materials (Deerfield Beach, Fla.) · 2026
    Review
  5. Review
  6. Article
  7. Review
  8. Review
  9. Review
  10. Review
  11. A self-wrapping, bioresorbable neural interface for wireless multimodal therapy of localized peripheral nerve injury.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  12. Review
  13. Autonomous Polymer Frameworks for Sustainable Tissue-Interfaced Plastic Bioelectronics.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Review
  14. Review
  15. Biodegradable Medical Implants: Reshaping Future Medical Practice.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Review
  16. Bioresorbable electrodes in implantable electronic healthcare devices.Frontiers in bioengineering and biotechnology · 2025
    Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

24 authors.

Liu Wang *Medical Engineering & Engineering Medicine Innovation Center of Hangzhou International Innovation Institute, Beihang University, Hangzhou, China.ORCID http://orcid.org/0000-0001-8362-7711
Tieyuan Zhang *Institute of Orthopedics, Chinese PLA General Hospital, Beijing, China.
Jiaxin Lei *Department of Electronic Engineering, Tsinghua University, Beijing, China.ORCID http://orcid.org/0000-0002-5114-1167
Shirong Wang *MegaRobo Technologies Co. ltd, Beijing, China.ORCID http://orcid.org/0000-0002-1860-2523
Yanjun GuanInstitute of Orthopedics, Chinese PLA General Hospital, Beijing, China.
Kuntao ChenSchool of Materials Science and Engineering, Tsinghua University, Beijing, China.
Chaochao LiInstitute of Orthopedics, Chinese PLA General Hospital, Beijing, China.
Yahao SongDepartment of Electronic Engineering, Tsinghua University, Beijing, China.
Weining LiDepartment of Electronic Engineering, Tsinghua University, Beijing, China.
Shimeng WangDepartment of Electronic Engineering, Tsinghua University, Beijing, China.
Zhibo JiaInstitute of Orthopedics, Chinese PLA General Hospital, Beijing, China.
Shengfeng ChenInstitute of Orthopedics, Chinese PLA General Hospital, Beijing, China.
Jun BaiInstitute of Orthopedics, Chinese PLA General Hospital, Beijing, China.
Bingbing YuSchool of Materials Science and Engineering, Tsinghua University, Beijing, China.
Can YangSchool of Materials Science and Engineering, Tsinghua University, Beijing, China.
Pengcheng SunSchool of Materials Science and Engineering, Tsinghua University, Beijing, China.
Qingyun WangDepartment of Dynamics and Control, Beihang University, Beijing, China.ORCID http://orcid.org/0000-0003-2931-4663
Xing ShengDepartment of Electronic Engineering, Tsinghua University, Beijing, China.ORCID http://orcid.org/0000-0002-8744-1700
Jiang PengInstitute of Orthopedics, Chinese PLA General Hospital, Beijing, China.
Yubo FanMedical Engineering & Engineering Medicine Innovation Center of Hangzhou International Innovation Institute, Beihang University, Hangzhou, China. yubofan@buaa.edu.cn.ORCID http://orcid.org/0000-0002-3480-4395
Lizhen WangMedical Engineering & Engineering Medicine Innovation Center of Hangzhou International Innovation Institute, Beihang University, Hangzhou, China. lizhenwang@buaa.edu.cn.ORCID http://orcid.org/0000-0002-9658-659X
Milin ZhangDepartment of Electronic Engineering, Tsinghua University, Beijing, China. zhangmilin@tsinghua.edu.cn.ORCID http://orcid.org/0000-0001-7544-1837
Yu WangInstitute of Orthopedics, Chinese PLA General Hospital, Beijing, China. wangwangdian628@126.com.ORCID http://orcid.org/0000-0001-7811-5834
Lan YinSchool of Materials Science and Engineering, Tsinghua University, Beijing, China. lanyin@tsinghua.edu.cn.ORCID http://orcid.org/0000-0001-7306-4628

Funding

National Natural Science Foundation of China (National Science Foundation of China) 52171239National Natural Science Foundation of China (National Science Foundation of China) T2122010Natural Science Foundation of Beijing Municipality (Beijing Natural Science Foundation) Z220015
6 · The paper itself

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.

Indexed as

Absorbable ImplantsPeripheral Nerve InjuriesPeripheral NervesAnimalsHumansMachine LearningMaleNerve RegenerationRatsRats, Sprague-Dawley

Identifiers

PMID39962053
PMCPMC11832765

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.