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Autonomously Propelled Colloids for Penetration and Payload Delivery in Complex Extracellular Matrices
Shrishti Singh1, Jeffrey L Moran1,2
1Department of Bioengineering, George Mason University, Fairfax, VA 22030, USA.
Micromachines
|October 23, 2021
Summary
Self-propelled particles (SPPs) can overcome the dense extracellular matrix (ECM) barrier in diseased tissues. This research reviews ECM models and SPPs for enhanced drug delivery, aiming for clinical translation.
Area of Science:
- Biomedical Engineering
- Materials Science
- Pharmacology
Background:
- The extracellular matrix (ECM) in diseased tissues like cancer and fibrosis creates a barrier, hindering drug delivery nanoparticles.
- A stiff ECM impedes the transport of therapeutic agents, limiting treatment effectiveness.
- Current drug delivery methods face challenges due to the physical and biological properties of the ECM.
Purpose of the Study:
- To comprehensively review existing ECM models that mimic in vivo diseased states.
- To analyze various types of self-propelled particles (SPPs) tested in these ECM models.
- To identify future research directions for the clinical translation of SPPs in biomedical applications.
Main Methods:
- Review of current in vitro and in vivo ECM models used for drug delivery research.
- Analysis of experimental studies on different SPP designs and propulsion mechanisms.
- Literature synthesis of SPP performance within ECM-mimicking environments.
Main Results:
- Various ECM models effectively replicate the physical and biological challenges of in vivo environments.
- Different SPPs demonstrate varying degrees of success in navigating and penetrating ECM-mimicking models.
- SPPs show potential for enhanced drug transport compared to passive nanoparticles.
Conclusions:
- SPPs offer a promising strategy to overcome ECM barriers for improved therapeutic agent delivery.
- Further research into SPP design, control, and biocompatibility is crucial for clinical translation.
- Standardized ECM models and rigorous testing are needed to advance SPP technology for diverse biomedical settings.
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