Laboratory of Molecular Imaging and Nanomedicine, National Institute of Biomedical Imaging and Bioengineering, National Institutes of Health, Bethesda, Maryland 20892, USA.
ACS Nano. 2012 Jun 26;6(6):4966-72. doi: 10.1021/nn300516g. Epub 2012 May 2.
Nanoformulations have shown great promise for delivering chemotherapeutics and hold tremendous clinical relevance. However nuclear mapping of the chemodrugs is important to predict the success of the nanoformulation. In this study fluorescence microscopy and a subcellular tracking algorithm were used to map the diffusion of chemotherapeutic drugs in cancer cells. Positively charged nanoparticles efficiently carried the chemodrug across the cell membrane. The algorithm helped map free drug and drug-loaded nanoparticles, revealing a varying nuclear diffusion pattern of the chemotherapeutics in drug-sensitive and -resistant cells in a live dynamic cellular environment. While the drug-sensitive cells showed an exponential uptake of the drug with time, resistant cells showed random and asymmetric drug distribution. Moreover nanoparticles carrying the drug remained in the perinuclear region, while the drug accumulated in the cell nuclei. The tracking approach has enabled us to predict the therapeutic success of different nanoscale formulations of doxorubicin.
纳米制剂在递送达疗药物方面显示出巨大的潜力,具有巨大的临床相关性。然而,化学药物的核定位对于预测纳米制剂的成功至关重要。在这项研究中,荧光显微镜和亚细胞跟踪算法被用于绘制化疗药物在癌细胞中的扩散情况。带正电荷的纳米颗粒有效地将化学药物穿过细胞膜。该算法有助于绘制游离药物和载药纳米颗粒的图谱,揭示了在活细胞环境中,药物敏感和耐药细胞中化学药物的核扩散模式存在差异。虽然药物敏感细胞随时间呈指数吸收药物,但耐药细胞显示出药物的随机和不对称分布。此外,携带药物的纳米颗粒仍留在核周区域,而药物则在细胞核中积累。这种跟踪方法使我们能够预测不同阿霉素纳米制剂的治疗效果。