Evidence map›Paper›PMID 42270906›Full record

ArticleNature materials2026

Strain-insensitive wet-tissue-adhesive biphasic bioelectronics for physicochemical monitoring and adaptive therapy.

Jiahong Li, Kexin Fan, Xiaotian Ma, Canran Wang, Jihong Min, Yonglin Chen, Yu Song, Yadong Xu, Wei Gao

Abstract read
PubMed Publisher
In one paragraph

Article in Nature materials, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Review
  3. 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.

Jiahong LiAndrew and Peggy Cherng Department of Medical Engineering, Division of Engineering and Applied Science, California Institute of Technology, Pasadena, CA, USA.
Kexin FanAndrew and Peggy Cherng Department of Medical Engineering, Division of Engineering and Applied Science, California Institute of Technology, Pasadena, CA, USA.ORCID http://orcid.org/0000-0003-3818-5891
Xiaotian MaAndrew and Peggy Cherng Department of Medical Engineering, Division of Engineering and Applied Science, California Institute of Technology, Pasadena, CA, USA.ORCID http://orcid.org/0009-0000-8357-9916
Canran WangAndrew and Peggy Cherng Department of Medical Engineering, Division of Engineering and Applied Science, California Institute of Technology, Pasadena, CA, USA.
Jihong MinAndrew and Peggy Cherng Department of Medical Engineering, Division of Engineering and Applied Science, California Institute of Technology, Pasadena, CA, USA.ORCID http://orcid.org/0000-0002-5788-1473
Yonglin ChenAndrew and Peggy Cherng Department of Medical Engineering, Division of Engineering and Applied Science, California Institute of Technology, Pasadena, CA, USA.ORCID http://orcid.org/0000-0001-6551-9944
Yu SongAndrew and Peggy Cherng Department of Medical Engineering, Division of Engineering and Applied Science, California Institute of Technology, Pasadena, CA, USA.ORCID http://orcid.org/0000-0002-4185-2256
Yadong XuAndrew and Peggy Cherng Department of Medical Engineering, Division of Engineering and Applied Science, California Institute of Technology, Pasadena, CA, USA.ORCID http://orcid.org/0000-0001-8885-6433
Wei GaoAndrew and Peggy Cherng Department of Medical Engineering, Division of Engineering and Applied Science, California Institute of Technology, Pasadena, CA, USA. weigao@caltech.edu.ORCID http://orcid.org/0000-0002-8503-4562

Funding

Laser-Engraved Wearable Sweat Sensors to Detect and Monitor Cardiometabolic DiseaseR01HL155815 · NHLBI · CALIFORNIA INSTITUTE OF TECHNOLOGY · PI GAO, WEI · 2021 to 2025
$2.0M
Develop a wireless, skin-conformable and dual-sensing wearable system in support of voice and upper airway telehealth careR01DC021461 · NIDCD · CALIFORNIA INSTITUTE OF TECHNOLOGY · PI Wei Gao, Jianyu Li · 2024 to 2026
$1.8M
National Science Foundation (NSF) 2145802United States Department of Defense | United States Army | Army Medical Command | Congressionally Directed Medical Research Programs (CDMRP) HT9425-24-1-0249U.S. Department of Health & Human Services | National Institutes of Health (NIH) R01DC021461U.S. Department of Health & Human Services | National Institutes of Health (NIH) R01HL155815
6 · The paper itself

Abstract

Implantable bioelectronics are rapidly advancing towards multifunctional platforms capable of real-time monitoring and therapeutic intervention. However, designing implants with stable, long-term integration with soft, dynamic biological tissues, especially under strain or movement, is still challenging. Here we introduce a stretchable, strain-insensitive, wet-tissue-adhesive elastomer-hydrogel biphasic platform for cross-functional bioelectronics, enabling simultaneous physical sensing, chemical monitoring and neural modulation in vivo. This platform, termed ElHyX, features a molecularly integrated elastomer-hydrogel architecture, functionalized with conductive fillers to achieve mechanical compliance, robust electrical performance and strong tissue adhesion without the need for sutures or additional surface treatments. Using direct ink writing, we fabricated customizable ElHyX-based devices for in vivo electrocardiogram monitoring, glucose sensing and nerve stimulation. A closed-loop system for diabetic management in rats was also developed, where real-time biosignal detection autonomously triggered neuromodulation to regulate blood glucose levels. Overall, our findings establish ElHyX as a versatile, scalable platform for next-generation bioelectronics, capable of continuous physicochemical monitoring and autonomous therapeutic intervention in complex biological environments.

Indexed as

HydrogelsTissue AdhesivesAnimalsBiosensing TechniquesBlood GlucoseContinuous Glucose MonitoringElastomersRatsRats, Sprague-DawleyBlood GlucoseElastomersHydrogelsTissue Adhesives

Identifiers

What OpenQuestion holds

Textmetadata
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.