Evidence map›Paper›PMID 40897717›Full record

ArticleNature communications2025

A magneto-responsive nanomesh biosensor for simultaneous mechanical stimulation and electrochemical detection.

Kai-Qi Jin, Tian-Cai Sun, Zi-Xing Zhou, Jing-Du Li, Yi Zhao, Wen-Ting Fan, Jing Yan, Guo-You Huang, Wei-Hua Huang, Yan-Ling Liu

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 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Can nanozymes achieve more than enzymes?Nature reviews. Materials · 2026
    Article
  3. Review
  4. 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

10 authors.

Kai-Qi JinCollege of Chemistry and Molecular Sciences, Wuhan University, Wuhan, China.
Tian-Cai SunCollege of Chemistry and Molecular Sciences, Wuhan University, Wuhan, China.
Zi-Xing ZhouCollege of Civil Engineering, Wuhan University, Wuhan, China.
Jing-Du LiCollege of Chemistry and Molecular Sciences, Wuhan University, Wuhan, China.
Yi ZhaoCollege of Chemistry and Molecular Sciences, Wuhan University, Wuhan, China.
Wen-Ting FanCore Facility of Wuhan University, Wuhan, China.
Jing YanCollege of Chemistry and Molecular Sciences, Wuhan University, Wuhan, China.
Guo-You HuangCollege of Civil Engineering, Wuhan University, Wuhan, China.
Wei-Hua HuangCollege of Chemistry and Molecular Sciences, Wuhan University, Wuhan, China.ORCID http://orcid.org/0000-0001-8951-075X
Yan-Ling LiuCollege of Chemistry and Molecular Sciences, Wuhan University, Wuhan, China. yanlingliu@whu.edu.cn.ORCID http://orcid.org/0000-0002-7386-354X

Funding

National Natural Science Foundation of China (National Science Foundation of China) No. 22122408National Natural Science Foundation of China (National Science Foundation of China) No. 22404127
6 · The paper itself

Abstract

Mechanical cues are critical regulators of cell fate and behavior through the orchestrated and continual conversion of physical forces into biochemical responses. However, due to the poor compatibility between mechanical and biochemical techniques, existing methods are often limited in characterizing the occurring biochemical signals during mechanical stimulation. Herein, this work presents a magneto-responsive nanomesh (MRnM) biosensor capable of mechanically stimulating cells in vitro and tissues in vivo and simultaneously detecting the triggered biomolecules. Under external magnetic fields, the sensor exhibits excellent magnetic responsiveness with remote, controllable and tailored deformation, while maintaining prominent and stable electrochemical sensing performance. As a proof of concept, this MRnM sensor achieves the magnetically-actuated deformation of osteoblasts and real-time monitoring of the ensuing nitric oxide release, revealing the role of Piezo1 channels in nitric oxide synthase signaling pathways. Furthermore, we demonstrate the capability of MRnM sensor for in vivo applications. Ultimately, the developed MRnM biosensor holds great potential for mechanical stimulation and real-time monitoring of various biological systems, ranging from living cells to soft tissues and in vivo organs.

Indexed as

Biosensing TechniquesElectrochemical TechniquesAnimalsHumansIon ChannelsMagnetic FieldsMechanotransduction, CellularMiceNitric OxideNitric Oxide SynthaseOsteoblastsSignal TransductionIon ChannelsNitric OxideNitric Oxide Synthase

Identifiers

PMID40897717
PMCPMC12405483

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.