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Molecular dynamics simulation of cancer cell membrane perforated by shockwave induced bubble collapse

气泡 癌细胞 脉冲(物理) 机械 生物物理学 材料科学 化学 细胞膜 纳米技术 癌症 物理 经典力学 生物 生物化学 遗传学
作者
Hoang Linh Nguyen,Viet Hoang Man,Mai Suan Li,Junmei Wang,Philippe Derreumaux,Thi Ly,Phuong H. Nguyen
出处
期刊:Journal of Chemical Physics [American Institute of Physics]
卷期号:157 (22) 被引量:3
标识
DOI:10.1063/5.0105675
摘要

It has been widely accepted that cancer cells are softer than their normal counterparts. This motivates us to propose, as a proof-of-concept, a method for the efficient delivery of therapeutic agents into cancer cells, while normal cells are less affected. The basic idea of this method is to use a water jet generated by the collapse of the bubble under shockwaves to perforate pores in the cell membrane. Given a combination of shockwave and bubble parameters, the cancer membrane is more susceptible to bending, stretching, and perforating than the normal membrane because the bending modulus of the cancer cell membrane is smaller than that of the normal cell membrane. Therefore, the therapeutic agent delivery into cancer cells is easier than in normal cells. Adopting two well-studied models of the normal and cancer membranes, we perform shockwave induced bubble collapse molecular dynamics simulations to investigate the difference in the response of two membranes over a range of shockwave impulse 15–30 mPa s and bubble diameter 4–10 nm. The simulation shows that the presence of bubbles is essential for generating a water jet, which is required for perforation; otherwise, pores are not formed. Given a set of shockwave impulse and bubble parameters, the pore area in the cancer membrane is always larger than that in the normal membrane. However, a too strong shockwave and/or too large bubble results in too fast disruption of membranes, and pore areas are similar between two membrane types. The pore closure time in the cancer membrane is slower than that in the normal membrane. The implications of our results for applications in real cells are discussed in some details. Our simulation may be useful for encouraging future experimental work on novel approaches for cancer treatment.
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