Evidence map›Paper›PMID 42620582›Full record

ReviewMechanobiology in medicine2026

Piezo channels in physical field therapy: From mechanotransduction mechanisms to bioelectromagnetic modulation and biomedical applications.

Bing Li, Hui-Ming Kang, Wei-Dong Pan, Ye Li

Abstract readReview
In one paragraph

Review in Mechanobiology in medicine, 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

4 authors.

Bing LiBeijing Key Laboratory of Bioelectromagnetics, Institute of Electrical Engineering, Chinese Academy of Sciences, Beijing, 100190, China.
Hui-Ming KangBeijing Key Laboratory of Bioelectromagnetics, Institute of Electrical Engineering, Chinese Academy of Sciences, Beijing, 100190, China.
Wei-Dong PanBeijing Key Laboratory of Bioelectromagnetics, Institute of Electrical Engineering, Chinese Academy of Sciences, Beijing, 100190, China.
Ye LiDepartment of Rehabilitation Sciences, The Hong Kong Polytechnic University, Hong Kong Special Administrative Region, 999077, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Piezo family of mechanosensitive ion channels serves as the primary molecular transducer that converts mechanical stimuli into electrochemical signals in living organisms, marking a pivotal breakthrough in mechanobiology. This review systematically summarizes recent advances in Piezo channel research, with a specific focus on the Piezo1, from the novel perspective of physical field therapy. We first describe the unique trimeric "propeller-nano-bowl" architecture of Piezo channels and their gating mechanisms, which rely on membrane tension sensing and a lever-like mechanical amplification principle. Next, we comprehensively explore the physiological roles of Piezo-mediated signaling in core systems, including the skeletal, cardiovascular, nervous, and immune systems, and elucidate their pathophysiological implications in diseases such as genetic disorders, osteoarthritis, and cancer. Finally, we highlight cutting-edge bioelectromagnetic intervention strategies, including the use of ultrasound and magnetic fields for non-invasive modulation of Piezo activity, as well as the application of piezoelectric biomaterials designed to mimic Piezo functions for tissue regeneration, neuromodulation, and targeted drug delivery.

Indexed as

Bioelectromagnetic interventionMechanotransductionPhysical field therapyPiezo channelsPiezoelectric biomaterials

Identifiers

PMID42620582
PMCPMC13485668

What OpenQuestion holds

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Registered trials

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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.