Improving extracellular matrix penetration with biocatalytic metal–organic framework nanoswimmers

The development of self-propelled nanomotors offers a promising strategy to enhance targeted drug delivery efficiency in cancer therapy. Active motion is believed to aid nanomotors in overcoming the physical barriers of the tumor microenvironment, allowing for deep tissue penetration; however, this crucial concept lacks detailed mechanistic understanding. In this study, we report catalase and collagenase dual-enzyme functionalized zeolitic imidazolate framework-90 (ZIF-90) nanomotors. Catalase enables the nanomotors with self-propulsion in the presence of low amount of hydrogen peroxide, while collagenase enables catalytic decomposition of collagen, a major component of the extracellular matrix (ECM), thereby enhancing motility and facilitating deeper penetration into the ECM. Experimental and computational studies elucidated the detailed mechanisms governing ECM penetration kinetics. Using a three-dimensional tumor spheroid model, the nanomotors demonstrated enhanced tissue penetration, leading to improved drug delivery and a significant reduction in cell viability. These findings underscore the potential of self-propelled nanomotors to improve drug delivery efficiency in solid tumors by leveraging both biocatalytic activity and active motion to navigate biological barriers.

Authors

Institutions

Publication Details

Journal
Journal of Materials Chemistry B
Published
2025-01-01
DOI
https://doi.org/10.1039/d5tb00509d
Citations
1
Primary Topic
Micro and Nano Robotics
Type
article
Field-Weighted Citation Impact
1.26

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Improving extracellular matrix penetration with biocatalytic metal–organic framework nanoswimmers

Kang Liang, John M. Whitelock, Jueyi Xue, Ziping Li et al.
1 citations
Journal of Materials Chemistry B
Micro and Nano Robotics
1.26
article

Improving extracellular matrix penetration with biocatalytic metal–organic framework nanoswimmers

Kang Liang, John M. Whitelock, Jueyi Xue, Ziping Li, Peiji Deng, Qianfan Chen, Tianruo Guo, Pufeng Qin, Si Liu
article en
1 citations

Abstract

The development of self-propelled nanomotors offers a promising strategy to enhance targeted drug delivery efficiency in cancer therapy. Active motion is believed to aid nanomotors in overcoming the physical barriers of the tumor microenvironment, allowing for deep tissue penetration; however, this crucial concept lacks detailed mechanistic understanding. In this study, we report catalase and collagenase dual-enzyme functionalized zeolitic imidazolate framework-90 (ZIF-90) nanomotors. Catalase enables the nanomotors with self-propulsion in the presence of low amount of hydrogen peroxide, while collagenase enables catalytic decomposition of collagen, a major component of the extracellular matrix (ECM), thereby enhancing motility and facilitating deeper penetration into the ECM. Experimental and computational studies elucidated the detailed mechanisms governing ECM penetration kinetics. Using a three-dimensional tumor spheroid model, the nanomotors demonstrated enhanced tissue penetration, leading to improved drug delivery and a significant reduction in cell viability. These findings underscore the potential of self-propelled nanomotors to improve drug delivery efficiency in solid tumors by leveraging both biocatalytic activity and active motion to navigate biological barriers.

Journal of Materials Chemistry BVol. 13(29)
UNSW Sydney (AU)
Analytical Center for the Government of the Russian Federation, National Breast Cancer Foundation, University of New South Wales, Australian Research Council
Openalex Percentile: Top 21%
Micro and Nano Robotics
1.26
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.