Evidence map›Paper›PMID 40557306›Full record

ArticleFrontiers in bioengineering and biotechnology2025

A brief exploration of the physical properties of single living cells under dynamic loading conditions.

Dasen Xu, Chongyu Zhang, Ruining Peng, Ru Zhang, Haoyu Chen, Yulong Li, Hui Yang

Abstract read
In one paragraph

Article in Frontiers in bioengineering and biotechnology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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

7 authors.

Dasen XuInstitute of Fluid Physics, China Academy of Engineering Physics, Mianyang, China.
Chongyu ZhangInstitute of Fluid Physics, China Academy of Engineering Physics, Mianyang, China.
Ruining PengSchool of Life Science, Northwestern Polytechnical University, Xi'an, Shaanxi, China.
Ru ZhangInstitute of Fluid Physics, China Academy of Engineering Physics, Mianyang, China.
Haoyu ChenInstitute of Fluid Physics, China Academy of Engineering Physics, Mianyang, China.
Yulong LiSchool of Civil Aviation, Northwestern Polytechnical University, Xi'an, China.
Hui YangSchool of Life Science, Northwestern Polytechnical University, Xi'an, Shaanxi, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Single living cells exhibit both active biological functions and material-like mechanical behaviors. While extensive research has focused on static or quasi-static loading, the purely mechanical properties under high-rate impact remain underexplored. Investigating cell responses to dynamic loading can isolate rapid deformation characteristics, potentially clarifying how life activities modulate mechanical behavior. Methods: We developed a custom dynamic loading system to expose single adherent macrophage cells to transient compression-shear stresses in a controlled fluid environment. A Polymethyl Methacrylate chamber housed the cells, and impact pressures (156.48-3603.85 kPa) were measured in real time using a high-frequency sensor. High-speed imaging (up to 2×10 Results: Cells demonstrated a two-stage expansion under shock loading. At lower pressures, cytoplasmic regions rapidly spread into the focal plane, producing significant increases in projected area. As pressure rose further, deformation rate decreased, reflecting the constraining influence of the nucleus. By analyzing the final-to-initial area ratios across various pressures and initial cell sizes, we derived an incomplete state equation akin to Tait-like or Birch-Murnaghan models, indicating an inflection point of maximum deformation rate. Discussion: These findings highlight that fast impact loading effectively minimizes confounding biological processes, revealing intrinsic mechanical responses. The proposed state equation captures cell behavior within milliseconds, offering a path to integrate dynamic results with slower, life-activity-driven adaptations, and laying groundwork for more comprehensive biomechanical models of living cells.

Indexed as

cell mechanicsdynamic loadingexperiment constructionstate equation of a cellweak shock wave

Identifiers

PMID40557306
PMCPMC12185408

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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.