Department of Chemical and Biomolecular Engineering, University of Notre Dame, Notre Dame, IN 46556, United States of America.
Department of Chemical and Biomolecular Engineering, University of Notre Dame, Notre Dame, IN 46556, United States of America; Harper Center Research Institute, University of Notre Dame, Notre Dame, IN 46556, United States of America; Advanced Diagnostics and Therapeutics, University of Notre Dame, Notre Dame, IN 46556, United States of America.
J Control Release. 2019 Oct;311-312:190-200. doi: 10.1016/j.jconrel.2019.08.033. Epub 2019 Aug 29.
Despite ligand-targeted liposomes long garnering interest as drug delivery vehicles for cancer therapeutics, inconsistency in successful outcomes have hindered their translation into the clinic. This is in part due to discrepancies between in vitro design evaluations and final in vivo outcomes. By employing a multifaceted synthetic strategy to prepare peptide-targeted nanoparticles of high purity, reproducibility, and with precisely controlled quantity of functionalities, we systematically evaluated the individual roles that peptide-linker length, peptide hydrophilicity, peptide density, and nanoparticle size play on cancer cell uptake and tumor targeting both in vitro and in vivo, and how the results correlated and contrasted. These parameters were analyzed using a VLA-4-targeted liposome system in a multiple myeloma mouse xenograft model to evaluate in vivo biodistribution and tumor cell uptake. The results showed that using in vitro models to optimize targeted-nanoparticles for maximum cellular uptake was helpful in narrowing down the particle characteristics. However, in vitro optimization fell short of achieving enhanced results in animal models, rather had negative consequences for in vivo targeting. This outcome is not surprising considering that the receptor being targeted is also present on healthy lymphocytes and increasing targeting peptide valency on particle surfaces results in an increase in non-selective, off-target binding to healthy cells. Hence, further optimization using in vivo models was absolutely necessary, through which we were able to increase the uptake of peptide-targeted liposomes by cancerous cells overexpressing VLA-4 to 15-fold over that of non-targeted liposomes in vivo. The results highlighted the importance of creating a comprehensive understanding of the effect of each liposome design parameter on multifactorial biological endpoints including both in vitro and in vivo in determining the therapeutic potential of peptide-targeted liposomes.
尽管配体靶向脂质体作为癌症治疗药物的递送载体长期以来一直受到关注,但由于体外设计评估与最终体内结果之间存在差异,其在临床上的转化仍受到阻碍。通过采用多方面的合成策略来制备高纯度、重现性和具有精确控制功能数量的肽靶向纳米颗粒,我们系统地评估了肽-接头长度、肽亲水性、肽密度和纳米颗粒大小在体外和体内对癌细胞摄取和肿瘤靶向的作用,以及结果如何相互关联和对比。这些参数使用 VLA-4 靶向脂质体系统在多发性骨髓瘤小鼠异种移植模型中进行了分析,以评估体内生物分布和肿瘤细胞摄取。结果表明,使用体外模型优化针对最大细胞摄取的靶向纳米颗粒有助于缩小颗粒特征的范围。然而,在体外进行优化并不能在动物模型中实现增强的结果,反而对体内靶向产生负面影响。考虑到被靶向的受体也存在于健康的淋巴细胞上,并且增加颗粒表面上靶向肽的价数会导致对健康细胞的非选择性、非靶向结合增加,这种结果并不奇怪。因此,绝对有必要使用体内模型进一步优化,通过这种方法,我们能够使过表达 VLA-4 的癌细胞对肽靶向脂质体的摄取增加 15 倍,超过非靶向脂质体在体内的摄取。结果强调了在确定肽靶向脂质体的治疗潜力时,需要全面了解每个脂质体设计参数对包括体外和体内在内的多因素生物学终点的影响。