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The interacting role of physical stiffness and tumor cells on the macrophages polarization

机译:物理刚度和肿瘤细胞对巨噬细胞极化的相互作用作用

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There is a complex interplay existing between the tumor microenvironment and cellular function, while the influence of tumor biophysical signals on the macrophage function remain unclear. Herein, we constructed a three dimensional hydrogel model to study the symphysial effect of physical signal (stiffness) and biological signal (tumor cells) on macrophage polarization in different stage of tumor progression. In the absence of biological signal, the macrophage response was slightly changed with different stiffness (100 Pa, 300 Pa, and 900 Pa). Once co-incubated with the tumor cell, macrophage induced more significant cancer facilitated cytokines (e.g. IL-10, MMP-9) and chemokines (MCP-1). In contrast to the education role from the co-cultured cancer cells, a stiffness around the normal tissue (100 Pa, CO-L group) provided a physical cue for cancer cell regression. This cue triggered the active role of M1 type macrophages (e.g. IL-12), indicating the interacting role of stiffness in the presence of cancer cell. The stiffness around the premalignant tissue (M, 300 Pa) induced much higher level of cytokines (e.g. IL-6, IL-10, IL-12, CD86, and CD206), while the immune activation cytokines (M1 type) was largely attenuated at high stiffness (900 Pa). This study revealed the pleiotropic tuning of macrophage function under different biophysical signals, which provided important knowledge for cancer progress and may benefit the design of cancer-related therapies.
机译:肿瘤微环境和细胞功能之间存在复杂的相互作用,而肿瘤生物物理信号对巨噬细胞功能的影响仍不清楚。在此,我们构建了一种三维水凝胶模型,研究了物理信号(刚度)和生物信号(肿瘤细胞)对肿瘤进展不同阶段巨噬细胞极化的交响性效应。在没有生物学信号的情况下,巨噬细胞反应略有变化,不同的刚度(100Pa,300Pa和900Pa)略有变化。一旦与肿瘤细胞共培育,巨噬细胞诱导了更明显的癌症促进细胞因子(例如IL-10,MMP-9)和趋化因子(MCP-1)。与来自共培养的癌细胞的教育作用相比,正常组织(100Pa,CO-L组)周围的刚度提供了癌细胞回归的物理提示。该提示引发了M1型巨噬细胞(例如IL-12)的活性作用,表明刚度在癌细胞存在下的相互作用。前一种组织(M,300Pa)周围的刚度诱导更高水平的细胞因子(例如IL-6,IL-10,IL-12,CD86和CD206),而免疫激活细胞因子(M1型)在很大程度上衰减高刚度(900 pa)。本研究揭示了不同生物物理信号下巨噬细胞功能的抗嗜热调整,为癌症进展提供了重要知识,并可能有利于癌症相关疗法的设计。

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