Evidence map›Paper›PMID 42370490›Full record

ArticleAdvanced materials (Deerfield Beach, Fla.)2026

A Xerotic Skin-Compatible Neuromotor Electrode Interface for Non-Invasive Muscle Weakness Evaluation in Dermatomyositis.

Yue Zhang, Jie Cao, Xinzhi Xu, Zhiwei Chen, Yaqing Li, Junchang Wang, Jingyi Chen, Mengru Zhang, Qian Xu, Dongzi Yang and 6 more

Abstract read
In one paragraph

Article in Advanced materials (Deerfield Beach, Fla.), 2026. 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. 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

16 authors.

Yue ZhangState Key Laboratory of Integrated Chips and Systems, Frontier Institute of Chip and System, College of Integrated Circuits and Micro-Nano Electronics, Fudan University, Shanghai, P. R. China.ORCID https://orcid.org/0009-0008-5791-4360
Jie CaoState Key Laboratory of Integrated Chips and Systems, Frontier Institute of Chip and System, College of Integrated Circuits and Micro-Nano Electronics, Fudan University, Shanghai, P. R. China.
Xinzhi XuDepartment of Dermatology, Zhongshan Hospital of Fudan University, Shanghai, China.ORCID https://orcid.org/0000-0002-2476-1045
Zhiwei ChenState Key Laboratory of Integrated Chips and Systems, Frontier Institute of Chip and System, College of Integrated Circuits and Micro-Nano Electronics, Fudan University, Shanghai, P. R. China.
Yaqing LiState Key Laboratory of Integrated Chips and Systems, Frontier Institute of Chip and System, College of Integrated Circuits and Micro-Nano Electronics, Fudan University, Shanghai, P. R. China.
Junchang WangState Key Laboratory of Integrated Chips and Systems, Frontier Institute of Chip and System, College of Integrated Circuits and Micro-Nano Electronics, Fudan University, Shanghai, P. R. China.
Jingyi ChenState Key Laboratory of Integrated Chips and Systems, Frontier Institute of Chip and System, College of Integrated Circuits and Micro-Nano Electronics, Fudan University, Shanghai, P. R. China.
Mengru ZhangState Key Laboratory of Integrated Chips and Systems, Frontier Institute of Chip and System, College of Integrated Circuits and Micro-Nano Electronics, Fudan University, Shanghai, P. R. China.
Qian XuState Key Laboratory of Integrated Chips and Systems, Frontier Institute of Chip and System, College of Integrated Circuits and Micro-Nano Electronics, Fudan University, Shanghai, P. R. China.
Dongzi YangState Key Laboratory of Integrated Chips and Systems, Frontier Institute of Chip and System, College of Integrated Circuits and Micro-Nano Electronics, Fudan University, Shanghai, P. R. China.
Jie YuState Key Laboratory of Integrated Chips and Systems, Frontier Institute of Chip and System, College of Integrated Circuits and Micro-Nano Electronics, Fudan University, Shanghai, P. R. China.
Xumeng ZhangState Key Laboratory of Integrated Chips and Systems, Frontier Institute of Chip and System, College of Integrated Circuits and Micro-Nano Electronics, Fudan University, Shanghai, P. R. China.ORCID https://orcid.org/0000-0002-3828-151X
Xianzhe ChenState Key Laboratory of Integrated Chips and Systems, Frontier Institute of Chip and System, College of Integrated Circuits and Micro-Nano Electronics, Fudan University, Shanghai, P. R. China.
Xue YangDivision of Rheumatology, Huashan Hospital, Fudan University, Shanghai, China.
Ji YangDepartment of Dermatology, Zhongshan Hospital of Fudan University, Shanghai, China.
Ming WangState Key Laboratory of Integrated Chips and Systems, Frontier Institute of Chip and System, College of Integrated Circuits and Micro-Nano Electronics, Fudan University, Shanghai, P. R. China.ORCID https://orcid.org/0009-0003-8137-5903

Funding

National Key Research and Development Program of China 2021YFB3601200National Natural Science Foundation of China 62204052National Natural Science Foundation of China 62304050National Natural Science Foundation of China 62404050National Natural Science Foundation of China 62574056National Natural Science Foundation of China 82373463National Natural Science Foundation of China U2341218National Natural Science Foundation of China U2341221State Key Laboratory of Integrated Chips and Systems SKLICS-Z202315
6 · The paper itself

Abstract

Dermatomyositis creates a clinical demand for non-invasive, quantitative muscle weakness assessment, which can be achieved by decomposing neuromotor information from surface electromyography (sEMG). However, the absence of a stable electrode interface compatible with pathologically xerotic skin has hindered this approach. Here, we develop a conformable neuromotor electrode interface that overcomes this via molecular engineering, exhibiting an ultrasoft modulus (∼ 2.13 kPa), low impedance (∼ 0.9 kΩ at 1 kHz), and stable electrical retention over 7 days. This interface enables the acquisition of high-fidelity sEMG from dermatomyositis patients with low baseline noise (< 2 µV root mean square) and high inter-channel signal correlation, allowing robust decomposition of neuromotor biomarkers including motor unit count, action potential amplitude, and firing rate. Clinically, our multi-biomarker quantification strategy shows strong agreement with gold standard assessments. Moreover, our approach can detect subtle interpatient variations like early recruitment patterns, enabling personalized treatment beyond the clinical gold standard. This work establishes a transformative platform for precise muscle weakness evaluation, overcoming the limitations of needle electromyography and subjective clinical scales.

Indexed as

Biocompatible MaterialsDermatomyositisElectromyographyMuscle WeaknessSkinElectrodesFemaleHumansMaleBiocompatible Materialsmolecular engineeringmuscle weakness evaluationneuromotor biomarkersneuromotor electrode interfacexerotic skin

Identifiers

PMID42370490
PMCPMC13431947

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.