Evidence map›Paper›PMID 41957013›Full record

ArticleNature communications2026

Tissue-adaptive bioelectronic fibers with temperature-induced self-tightening enable ultrastable neural interface.

Tao Zhou, Rouhui Yu, Xiaowen Bai, Yiqing Yang, Zhongyao Fan, Xiangheng Du, Yaqi Chen, Yong Wang, Zhonghua Yang, Xuemei Sun and 2 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Nature communications, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

12 authors.

Tao ZhouState Key Laboratory of Advanced Fiber Materials, College of Materials Science and Engineering, Donghua University, Shanghai, China.
Rouhui YuState Key Laboratory of Advanced Fiber Materials, College of Materials Science and Engineering, Donghua University, Shanghai, China.
Xiaowen BaiState Key Laboratory of Advanced Fiber Materials, College of Materials Science and Engineering, Donghua University, Shanghai, China.
Yiqing YangState Key Laboratory of Molecular Engineering of Polymers, Department of Macromolecular Science, Institute of Fiber Materials and Devices, Fudan University, Shanghai, China.
Zhongyao FanState Key Laboratory of Advanced Fiber Materials, College of Materials Science and Engineering, Donghua University, Shanghai, China.
Xiangheng DuState Key Laboratory of Advanced Fiber Materials, College of Materials Science and Engineering, Donghua University, Shanghai, China.
Yaqi ChenState Key Laboratory of Advanced Fiber Materials, College of Materials Science and Engineering, Donghua University, Shanghai, China.
Yong WangState Key Laboratory of Advanced Fiber Materials, College of Materials Science and Engineering, Donghua University, Shanghai, China.
Zhonghua YangNational Engineering Research Center of Light Alloy Net Forming, State Key Laboratory of Metal Matrix Composites, School of Materials Science and Engineering, Shanghai Jiao Tong University, Shanghai, China.
Xuemei SunState Key Laboratory of Molecular Engineering of Polymers, Department of Macromolecular Science, Institute of Fiber Materials and Devices, Fudan University, Shanghai, China.ORCID 0000-0002-2583-8593
Meifang ZhuState Key Laboratory of Advanced Fiber Materials, College of Materials Science and Engineering, Donghua University, Shanghai, China. zmf@dhu.edu.cn.ORCID 0000-0003-0359-3633
Shaowu PanState Key Laboratory of Advanced Fiber Materials, College of Materials Science and Engineering, Donghua University, Shanghai, China. pansw@dhu.edu.cn.ORCID 0000-0003-1085-7983

Funding

National Natural Science Foundation of China (National Science Foundation of China) 52373201,52103252
6 · The paper itself

Abstract

Neural interfaces are essential for brain-machine communication and closed-loop neuromodulation. However, achieving durable interfaces between neural tissue and bioelectronics remains a key challenge, as conventional electronics do not actively conform to the soft, tortuous 3D architecture of neural tissue. We report a tissue-adaptive bioelectronic fiber that actively contracts to wrap around neural tissues, forming ultrastable neural-electronic interfaces, and enabling highly reliable neural stimulation and recording. This fiber is fabricated via wet spinning from a precursor integrating a thermoresponsive polymer and electroactive materials, and exhibits an ultralow modulus of 0.16 MPa and a phase transition temperature of 26.7 °C. Upon contact with rat tissue, the polymer chains undergo a hydrophilic-to-hydrophobic transition, expelling water and contracting the fiber to conform tightly to the sciatic nerve. This ultrastable biointerface demonstrates reliable neural stimulation, producing stable hindlimb bending responses, while sciatic nerve action potential recordings show 99.5% signal retention under successive stimulations.

Indexed as

Sciatic NerveAction PotentialsAnimalsElectric StimulationHydrophobic and Hydrophilic InteractionsPolymersRatsRats, Sprague-DawleyTemperaturePolymers

Identifiers

PMID41957013
PMCPMC13223290

What Socratic 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 Socratic graph.