Zhu Mingsheng, Liu Qiqi, Chen Zhengbang, Liu Jinming, Zhang Zhixuan, Tian Jingwei, Wang Xiangyang, Yang Xiong, Chen Quan, Huang Xinglu, Zhuang Jie
School of Medicine, Nankai University, Tianjin 300071, China.
Key Laboratory of Bioactive Materials for the Ministry of Education, College of Life Sciences, Nankai University, Tianjin 300071, China.
ACS Nano. 2025 Jan 28;19(3):3424-3438. doi: 10.1021/acsnano.4c12808. Epub 2025 Jan 11.
Designing dual-targeted nanomedicines to enhance tumor delivery efficacy is a complex challenge, largely due to the barrier posed by blood vessels during systemic delivery. Effective transport across endothelial cells is, therefore, a critical topic of study. Herein, we present a synthetic biology-based approach to engineer dual-targeted ferritin nanocages (Dt-FTn) for understanding receptor-mediated transport across tumor endothelial cells. By leveraging a genetically engineered logic-gated strategy, we coassembled various Dt-FTn in with tunable ratios of RGD-targeting and intrinsic TfR1-targeting ligands. These Dt-FTn constructs were employed to investigate the interaction between receptor-mediated vascular permeability and dual-targeted nanomedicines in low-permeability tumors. Through machine learning-based single vessel analysis, we uncovered the crucial role of dual-receptor expression profiles in determining the vascular transport of dual-targeted nanomedicines in tumors with low permeability. Using a patient-derived colon cancer model, we demonstrated a proof-of-concept that the optimal proportions of dual ligands in these nanomedicines can be customized based on tumor cell receptor expression profiles. This study provides valuable insights and guiding principles for the rational design of dual-targeted nanomedicines for tumor-targeted delivery.
设计双靶点纳米药物以提高肿瘤递送效率是一项复杂的挑战,这在很大程度上是由于全身递送过程中血管所构成的屏障。因此,有效穿过内皮细胞是一个关键的研究课题。在此,我们提出一种基于合成生物学的方法来构建双靶点铁蛋白纳米笼(Dt-FTn),以了解受体介导的跨肿瘤内皮细胞转运。通过利用基因工程逻辑门控策略,我们以不同比例共组装了具有RGD靶向和内在转铁蛋白受体1(TfR1)靶向配体的各种Dt-FTn。这些Dt-FTn构建体被用于研究受体介导的血管通透性与低通透性肿瘤中双靶点纳米药物之间的相互作用。通过基于机器学习的单血管分析,我们揭示了双受体表达谱在决定低通透性肿瘤中双靶点纳米药物的血管转运方面的关键作用。利用患者来源的结肠癌模型,我们证明了一个概念验证,即这些纳米药物中双配体的最佳比例可根据肿瘤细胞受体表达谱进行定制。这项研究为合理设计用于肿瘤靶向递送的双靶点纳米药物提供了有价值的见解和指导原则。