Evidence map›Paper›PMID 41843287›Full record

ArticleAnnals of biomedical engineering2026

Mechanobiological Response of Osteocyte TRPV4 Base on the Piezoelectricity of Bone Matrix.

Shibo Gu, Yuqing Duanwang, Yinuo Zhao, Shuo Gao, Haochen Li, Xinrui Wu, Quanyou Zhang, Yanru Xue, Meng Zhang, Xiaogang Wu and 1 more

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Article in Annals of biomedical engineering, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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1 · What the graph read from it

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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.

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3 · Its place in the literature

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2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

11 authors.

Shibo GuCollege of Artificial Intelligence, Taiyuan University of Technology, Taiyuan, 030024, China.
Yuqing DuanwangCollege of Artificial Intelligence, Taiyuan University of Technology, Taiyuan, 030024, China.
Yinuo ZhaoCollege of Artificial Intelligence, Taiyuan University of Technology, Taiyuan, 030024, China.
Shuo GaoCollege of Artificial Intelligence, Taiyuan University of Technology, Taiyuan, 030024, China.
Haochen LiCollege of Artificial Intelligence, Taiyuan University of Technology, Taiyuan, 030024, China.
Xinrui WuCollege of Artificial Intelligence, Taiyuan University of Technology, Taiyuan, 030024, China.
Quanyou ZhangCollege of Artificial Intelligence, Taiyuan University of Technology, Taiyuan, 030024, China.
Yanru XueCollege of Artificial Intelligence, Taiyuan University of Technology, Taiyuan, 030024, China. xueyanru@tyut.edu.cn.
Meng ZhangCollege of Artificial Intelligence, Taiyuan University of Technology, Taiyuan, 030024, China. zhangmeng03@tyut.edu.cn.
Xiaogang WuCollege of Artificial Intelligence, Taiyuan University of Technology, Taiyuan, 030024, China. wuxiaogangtyut@163.com.ORCID http://orcid.org/0000-0003-3220-8933
Weiyi ChenCollege of Artificial Intelligence, Taiyuan University of Technology, Taiyuan, 030024, China.

Funding

China Postdoctoral Science Foundation 2020M680913National Natural Science Foundation of China 12272250National Natural Science Foundation of China 12372310National Natural Science Foundation of China 12402357National Natural Science Foundation of China 82172503Shanxi Province Basic Research Program 202403021212011
6 · The paper itself

Abstract

purposeOsteocytes are force-sensitive cells possessing a complex lacunar-canalicular system (LCS), embedded within a piezoelectric bone matrix. TRPV4, as a key mechanosensor, plays a crucial role in osteocyte mechanotransduction and related bone disorders. However, the mechanisms underlying its force sensing, mechanical signaling pathways, and biomechanical response remain poorly understood.

methodsTo address this issue, this study established a finite element model incorporating multiple mechanosensors-including bone matrix, LCS, osteocytes, and TRPV4-based on the piezoelectric effect. By integrating the multiphysics coupling of solid mechanics, fluid mechanics, and electric fields to simulate the complex effects on osteocytes, the model calculated stress, strain, and fluid shear stress (FSS) on TRPV4.

resultsResult indicate that piezoelectricity significantly increases stress and strain in TRPV4, particularly FSS. Biomechanical parameters of TRPV4 exhibit significant variations across different locations, with the highest stress levels observed at the cell processes (Maximum increase of approximately 300%). Stress distribution patterns also differ across distinct regions, while stress concentration in TRPV4 primarily occurs in its transmembrane domain and ion channel regions. This study reveals that upon coupling with primary cilia and RhoA, the mechanical response mechanism of TRPV4 undergoes significant alteration. TRPV4 exhibits greater sensitivity to fluid shear stress, whereas Piezo1 responds more strongly to membrane stress.

conclusionsThis study elucidates the microscopic mechanical response mechanism and gating activation mechanism of TRPV4 within complex bone cell environments. It clarifies the interaction mechanisms between TRPV4 and other cellular structures, providing a research pathway for understanding bone cell mechanical transduction mechanisms and complex interactions across multiple scales. This work offers theoretical insights into the pathogenesis and therapeutic approaches for TRPV4-related bone disorders.

Indexed as

Bone MatrixMechanotransduction, CellularModels, BiologicalOsteocytesTRPV Cation ChannelsAnimalsFinite Element AnalysisHumansStress, MechanicalTRPV4 protein, humanTRPV Cation ChannelsBiomechanicsFinite element analysisOsteocytesPiezoelectric effectTRPV4

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