Department of Bioengineering, University of Pennsylvania, Philadelphia, PA, 19104, USA.
Department of Biomedical Sciences, School of Veterinary Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA.
Nat Commun. 2024 Feb 29;15(1):1884. doi: 10.1038/s41467-024-45422-9.
Lipid nanoparticles for delivering mRNA therapeutics hold immense promise for the treatment of a wide range of lung-associated diseases. However, the lack of effective methodologies capable of identifying the pulmonary delivery profile of chemically distinct lipid libraries poses a significant obstacle to the advancement of mRNA therapeutics. Here we report the implementation of a barcoded high-throughput screening system as a means to identify the lung-targeting efficacy of cationic, degradable lipid-like materials. We combinatorially synthesize 180 cationic, degradable lipids which are initially screened in vitro. We then use barcoding technology to quantify how the selected 96 distinct lipid nanoparticles deliver DNA barcodes in vivo. The top-performing nanoparticle formulation delivering Cas9-based genetic editors exhibits therapeutic potential for antiangiogenic cancer therapy within a lung tumor model in female mice. These data demonstrate that employing high-throughput barcoding technology as a screening tool for identifying nanoparticles with lung tropism holds potential for the development of next-generation extrahepatic delivery platforms.
用于递送 mRNA 治疗药物的脂质纳米颗粒为治疗广泛的肺部相关疾病带来了巨大的希望。然而,缺乏能够识别化学性质不同的脂质库的肺递药特征的有效方法,这是 mRNA 治疗药物发展的一个重大障碍。在这里,我们报告了实施条形码高通量筛选系统作为识别阳离子可降解类脂材料肺靶向功效的一种手段。我们组合合成了 180 种阳离子可降解脂质,这些脂质最初在体外进行筛选。然后,我们使用条形码技术来量化所选的 96 种不同的脂质纳米颗粒如何在体内递送 DNA 条形码。表现最佳的纳米颗粒制剂递送 Cas9 基基因编辑器,在雌性小鼠的肺部肿瘤模型中表现出抗血管生成癌症治疗的治疗潜力。这些数据表明,采用高通量条形码技术作为筛选工具来识别具有肺部趋向性的纳米颗粒,有可能开发下一代非肝脏递药平台。
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