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Fast and Autonomous Mannosylated Nanomotors for Dynamic Cancer Cell Targeting.

Yuechi Liu¹, Roberto Terracciano², Jari Scheerstra¹

¹Bio-Organic Chemistry, Institute of Complex Molecular Systems, Eindhoven University of Technology, Helix, P. O. Box 513, Eindhoven, 5600 MB, the Netherlands.

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Summary

Mannosylated enzyme-driven nanomotors actively target cancer cells. Surface modification enhances their speed and specificity for improved cancer therapy applications.

Keywords:

Cancer cell targeting Enhanced autonomous motion Mannosylated enzymatic nanomotors Stomatocytes

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Area of Science:

Biomedical Engineering
Nanotechnology
Cancer Therapeutics

Background:

Motile nanoparticles offer a promising strategy for active cancer cell targeting in therapy.
Developing nanomotors with enhanced specificity and autonomous motion is crucial for effective cancer treatment.

Purpose of the Study:

To design and evaluate mannosylated compartmentalized cross-linked enzyme-driven nanomotors (c-CLEnM) for targeted cancer therapy.
To investigate the effect of mannose functionalization on nanomotor targeting efficiency and motility.

Main Methods:

Biodegradable stomatocytes were fabricated and loaded with glucose oxidase (GOx) and catalase (CAT) enzymes.
Enzyme crosslinking ensured nanomotor stability, followed by surface modification with a mannose-functional glycopolymer.
Targeting specificity and motility of mannosylated c-CLEnM were assessed against Hep G2 cells in varying ionic environments.

Main Results:

Mannosylated c-CLEnM demonstrated specific and efficient targeting of Hep G2 cells.
Enhanced autonomous motion and increased motility were observed in mannosylated nanomotors compared to non-mannosylated counterparts.
Glycopolymer surface modification increased zeta potential and provided shielding, accelerating nanomotor speed in ionic solutions.

Conclusions:

Functional glycopolymer modification synergistically enhances cellular uptake and nanomotor performance.
Mannosylated c-CLEnM represent a novel nanomotor design with improved targeting and motility for cancer therapy.
This approach offers enhanced control over nanomotors for advanced applications in cancer treatment.