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Effect of AFM nanoindentation loading rate on the characterization of mechanical properties of vascular endothelial cell

  • Lei Wang(corresponding author)
    ,
  • Liguo Tian
    ,
  • Wenxiao Zhang
    ,
  • Zuobin Wang
    ,
  • Xianping Liu
*Corresponding author for this work
  • Harbin Institute of Technology
    ,
  • Changchun University of Science and Technology
    ,
  • University of Warwick
Research Output:
Contribution to journal
Article
 Peer-review

Open access

Abstract

Vascular endothelial cells form a barrier that blocks the delivery of drugs entering into brain tissue for central nervous system disease treatment. The mechanical responses of vascular endothelial cells play a key role in the progress of drugs passing through the blood-brain barrier. Although nanoindentation experiment by using AFM (Atomic Force Microscopy) has been widely used to investigate the mechanical properties of cells, the particular mechanism that determines the mechanical response of vascular endothelial cells is still poorly understood. In order to overcome this limitation, nanoindentation experiments were performed at different loading rates during the ramp stage to investigate the loading rate effect on the characterization of the mechanical properties of bEnd.3 cells (mouse brain endothelial cell line). Inverse finite element analysis was implemented to determine the mechanical properties of bEnd.3 cells. The loading rate effect appears to be more significant in short-term peak force than that in long-term force. A higher loading rate results in a larger value of elastic modulus of bEnd.3 cells, while some mechanical parameters show ambiguous regulation to the variation of indentation rate. This study provides new insights into the mechanical responses of vascular endothelial cells, which is important for a deeper understanding of the cell mechanobiological mechanism in the blood-brain barrier.

Publication Information

Output type

Research Output:
Contribution to journal
Article
 Peer-review

Original language

English

Article number

562

Journal (Volume, Issue Number)

Micromachines (Volume 11, Issue 6)

Publication milestones

  • Accepted/In press - 28/05/2020
  • Published - 31/05/2020

Publication status

Published - 31/05/2020

Publication IDs

  • handle.net: 10547/624388
  • Scopus: 85087484727

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