Quantitative characterization of cell physiological state based on dynamical cell mechanics for drug efficacy indication

作者：Shuang Ma, Junfeng Wu, Zhihua Liu, Rong He, Yuechao Wang, Lianqing Liu, Tianlu Wang, Wenxue Wang · 发表于：Journal of Pharmaceutical Analysis · 年份：2023 · DOI：10.1016/j.jpha.2023.03.002 · 被引用次数：16 · 研究领域：Cellular Mechanics and Interactions、3D Printing in Biomedical Research、Microfluidic and Bio-sensing Technologies

Cell mechanics is essential to cell development and function, and its dynamics evolution reflects the physiological state of cells. Here, we investigate the dynamical mechanical properties of single cells under various drug conditions, and present two mathematical approaches to quantitatively characterizing the cell physiological state. It is demonstrated that the cellular mechanical properties upon the drug action increase over time and tend to saturate, and can be mathematically characterized by a linear time-invariant dynamical model. It is shown that the transition matrices of dynamical cell systems significantly improve the classification accuracies of the cells under different drug actions. Furthermore, it is revealed that there exists a positive linear correlation between the cytoskeleton density and the cellular mechanical properties, and the physiological state of a cell in terms of its cytoskeleton density can be predicted from its mechanical properties by a linear regression model. This study builds a relationship between the cellular mechanical properties and the cellular physiological state, adding information for evaluating drug efficacy.