Fast and Autonomous Mannosylated Nanomotors for Dynamic Cancer Cell Targeting

An attractive strategy in cancer cell therapy is to employ motile nanoparticles that can actively search for their target. Herein, we introduce mannosylated compartmentalized cross-linked enzyme-driven nanomotors (c-CLEnM), which exhibit specific and efficient targeting of Hep G2 cells through elevated autonomous motion. In this design, we constructed biodegradable bowl-shaped stomatocytes encapsulating the enzymes glucose oxidase (GOx) and catalase (CAT) within their nanocavity. A subsequent enzyme crosslinking reaction was performed to guarantee their stability. Furthermore, the c-CLEnM were surface modified with a mannose-functional glycopolymer, enabling binding with receptors expressed on Hep G2 cells. Interestingly, the targeting ligands on the nanomotors not only improved their specificity toward cancer cells but also enhanced motility. Compared to the non-mannosylated nanomotors, mannosylated c-CLEnM exhibited enhanced motion and higher targeting efficiency to cells in glucose-containing ionic environments. The unexpected acceleration in speed resulted from the surface modification of these nanomotors with a glycopolymer layer, which increased the zeta potential and created a shielding effect that mitigated the influence of the surrounding ions. This nanomotor design highlights the synergistic effect of functional glycopolymer modification on cellular uptake, adding an additional level of control to nanomotors for application in cancer therapy.

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Publication Details

Journal
Angewandte Chemie International Edition
Published
2025-04-01
DOI
https://doi.org/10.1002/anie.202505717
Citations
4
Primary Topic
Micro and Nano Robotics
Type
article
Field-Weighted Citation Impact
5.03

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article

Fast and Autonomous Mannosylated Nanomotors for Dynamic Cancer Cell Targeting

Tania Patiño Padial, Pascal L. W. Welzen, Jan C. M. van Hest, C. Remzi Becer et al.
4 citations
Angewandte Chemie International Edition
Micro and Nano Robotics
5.03
article

Fast and Autonomous Mannosylated Nanomotors for Dynamic Cancer Cell Targeting

Tania Patiño Padial, Pascal L. W. Welzen, Jan C. M. van Hest, C. Remzi Becer, Roberto Terracciano, Loai K. E. A. Abdelmohsen, Shoupeng Cao, Hanglong Wu, Jari F. Scheerstra, Gökhan Yilmaz, Jingxin Shao, Bingbing Sun, Yuechi Liu
article en
4 citations

Abstract

An attractive strategy in cancer cell therapy is to employ motile nanoparticles that can actively search for their target. Herein, we introduce mannosylated compartmentalized cross-linked enzyme-driven nanomotors (c-CLEnM), which exhibit specific and efficient targeting of Hep G2 cells through elevated autonomous motion. In this design, we constructed biodegradable bowl-shaped stomatocytes encapsulating the enzymes glucose oxidase (GOx) and catalase (CAT) within their nanocavity. A subsequent enzyme crosslinking reaction was performed to guarantee their stability. Furthermore, the c-CLEnM were surface modified with a mannose-functional glycopolymer, enabling binding with receptors expressed on Hep G2 cells. Interestingly, the targeting ligands on the nanomotors not only improved their specificity toward cancer cells but also enhanced motility. Compared to the non-mannosylated nanomotors, mannosylated c-CLEnM exhibited enhanced motion and higher targeting efficiency to cells in glucose-containing ionic environments. The unexpected acceleration in speed resulted from the surface modification of these nanomotors with a glycopolymer layer, which increased the zeta potential and created a shielding effect that mitigated the influence of the surrounding ions. This nanomotor design highlights the synergistic effect of functional glycopolymer modification on cellular uptake, adding an additional level of control to nanomotors for application in cancer therapy.

Angewandte Chemie International EditionVol. 64(23)
Sichuan University (CN), University of Warwick (GB), Ingenierie des Materiaux polymeres (FR), Eindhoven University of Technology (NL)
European Commission
Openalex Percentile: Top 5%
Micro and Nano Robotics
5.03
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