Raz Nasibeh Rady, Akbarzadeh-T Mohammad-R, Tafaghodi Mohsen
IEEE Trans Nanobioscience. 2015 Dec;14(8):894-906. doi: 10.1109/TNB.2015.2489761. Epub 2015 Oct 26.
A biomimicry approach to nanonetworks is proposed here for targeted cancer drug delivery (TDD). The swarm of bioinspired nanomachines utilizes the blood distribution network and chemotaxis to carry drug through the vascular system to the cancer site, recognized by a high concentration of vascular endothelial growth factor (VEGF). Our approach is multi-scale and includes processes that occur both within cells and with their neighbors. The proposed bionanonetwork takes advantage of several organic processes, some of which already occur within the human body, such as a plate-like structure similar to those of red blood cells for more environmental contact; a berry fruit architecture for its internal multi-foams architecture; the penetrable structure of cancer cells, tissue, as well as the porous structure of the capillaries for drug penetration; state of glycocalyx for ligand-receptor adhesion; as well as changes in pH state of blood and O 2 release for nanomachine communication. For a more appropriate evaluation, we compare our work with a conventional chemotherapy approach using a mathematical model of cancer under actual experimental parameter settings. Simulation results show the merits of the proposed method in targeted cancer therapy by improving the densities of the relevant cancer cell types and VEGF concentration, while following more organic and natural processes.
本文提出了一种用于靶向癌症药物递送（TDD）的纳米网络仿生方法。这群受生物启发的纳米机器利用血液分布网络和趋化作用，将药物通过血管系统输送到癌症部位，该部位可通过高浓度的血管内皮生长因子（VEGF）识别。我们的方法是多尺度的，包括细胞内及其与相邻细胞之间发生的过程。所提出的生物纳米网络利用了几种有机过程，其中一些已经在人体中发生，例如类似于红细胞的板状结构以增加与环境的接触；浆果果实结构因其内部的多泡沫结构；癌细胞、组织的可穿透结构以及毛细血管的多孔结构以实现药物渗透；糖萼状态用于配体-受体粘附；以及血液pH值状态的变化和纳米机器通信的氧气释放。为了进行更合适的评估，我们在实际实验参数设置下，使用癌症数学模型将我们的工作与传统化疗方法进行比较。模拟结果表明，所提出的方法在靶向癌症治疗中具有优势，通过提高相关癌细胞类型的密度和VEGF浓度，同时遵循更多有机和自然的过程。
