Evidence map›Paper›PMID 41296843›Full record

ArticleScience advances2025

Articular neural bioelectronics by decoupling mechanical strain from electron transport.

Tong Li, Fei Jin, Lisha Hua, Juan Ma, Fuyi Wang, Zhidong Wei, Ting Wang, Steven Wang, Zhang-Qi Feng

Abstract read
In one paragraph

Article in Science advances, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–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

1 citing paper in PubMed.

  1. A Piezo-Mimetic Ionic Hydrogel Harnessing Joint Motion for Cartilage Repair.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
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

9 authors.

Tong LiSchool of Chemistry and Chemical Engineering, Nanjing University of Science and Technology, Nanjing 210094, China.ORCID 0000-0002-1045-4538
Fei JinDepartment of Mechanical Engineering, City University of Hong Kong, Hong Kong 999077, China.ORCID 0000-0002-5670-3915
Lisha HuaDepartment of Mechanical Engineering, City University of Hong Kong, Hong Kong 999077, China.
Juan MaSchool of Chemistry and Chemical Engineering, Nanjing University of Science and Technology, Nanjing 210094, China.
Fuyi WangSchool of Chemistry and Chemical Engineering, Nanjing University of Science and Technology, Nanjing 210094, China.ORCID 0009-0000-5778-4350
Zhidong WeiSchool of Chemistry and Chemical Engineering, Nanjing University of Science and Technology, Nanjing 210094, China.ORCID 0000-0001-9210-5528
Ting WangState Key Laboratory of Bioelectronics, Southeast University, Nanjing 210096, China.ORCID 0000-0002-7518-6298
Steven WangDepartment of Mechanical Engineering, City University of Hong Kong, Hong Kong 999077, China.ORCID 0000-0001-8738-2889
Zhang-Qi FengSchool of Chemistry and Chemical Engineering, Nanjing University of Science and Technology, Nanjing 210094, China.ORCID 0000-0002-1684-588X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Implantable bioelectronics for dynamic articular nerves require interfaces that harmonize extreme mechanical compliance at extreme strains exceeding 120%, stable conductivity, and metabolic permeability-a triad unattained by current stretchable devices. Here, we introduce liquid metal-based ultraelastic fibrous bioelectronics for articular nerves that overcome interfacial and mechanical limitations through molecular engineering and structural design. Thiol-functionalized self-assembled monolayers on liquid metal nanoparticles enhance interfacial adhesion with neural tissues, eliminating fibrous encapsulation, while anisotropic silver nanowire networks decouple mechanical strain from electron transport, achieving negligible resistance variation under 150% repetitive strain. The porous mesh structure enables fluid permeability five orders of magnitude higher than conventional materials, ensuring physiological nutrient exchange in synovial joints. In vivo integration with rat ulnar nerves demonstrated chronic neuromodulation over 6 weeks without disruption of functional behavior. This work redefines biomechanically adaptive neuroelectronics, offering a universal framework for interfacing dynamic biological systems, from prosthetic sensory feedback to treating neurodegenerative pathologies.

Indexed as

ElectronicsStress, MechanicalAnimalsElectron TransportMetal NanoparticlesNanowiresProstheses and ImplantsRatsSilverSilver

Identifiers

PMID41296843
PMCPMC12652291

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.