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A computational framework for identifying design guidelines to increase the penetration of targeted nanoparticles
Sabine Hauert1, Spring Berman2, Radhika Nagpal3
1Harvard-MIT Division of Health Sciences and Technology, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.
Abstract:
Targeted nanoparticles are increasingly being engineered for the treatment of cancer. By design, they can passively accumulate in tumors, selectively bind to targets in their environment, and deliver localized treatments. However, the penetration of targeted nanoparticles deep into tissue can be hindered by their slow diffusion and a high binding affinity. As a result, they often localize to areas around the vessels from which they extravasate, never reaching the deep-seeded tumor cells, thereby limiting their efficacy. To increase tissue penetration and cellular accumulation, we propose generalizable guidelines for nanoparticle design and validate them using two different computer models that capture the potency, motion, binding kinetics, and cellular internalization of targeted nanoparticles in a section of tumor tissue. One strategy that emerged from the models was delaying nanoparticle binding until after the nanoparticles have had time to diffuse deep into the tissue. Results show that nanoparticles that are designed according to these guidelines do not require fine-tuning of their kinetics or size and can be administered in lower doses than classical targeted nanoparticles for a desired tissue penetration in a large variety of tumor scenarios. In the future, similar models could serve as a testbed to explore engineered tissue-distributions that arise when large numbers of nanoparticles interact in a tumor environment.
Insights
New nanoparticle designs enhance cancer treatment by improving deep tissue penetration. Delaying nanoparticle binding allows for better diffusion, leading to increased efficacy and lower required doses for targeted therapies.
Area of Science:
- Biomedical Engineering
- Nanotechnology
- Cancer Therapeutics
Background:
- Targeted nanoparticles show promise for cancer treatment by accumulating in tumors and delivering localized therapies.
- However, poor tissue penetration due to slow diffusion and high binding affinity limits their effectiveness, preventing them from reaching deep tumor cells.
Purpose of the Study:
- To propose and validate generalizable guidelines for nanoparticle design to enhance deep tissue penetration and cellular accumulation in tumors.
- To identify design strategies that overcome limitations of current targeted nanoparticles.
Main Methods:
- Utilized two distinct computer models to simulate nanoparticle behavior within tumor tissue, capturing potency, motion, binding kinetics, and cellular internalization.
- Developed and tested nanoparticle design guidelines based on simulation outcomes.
Main Results:
- A key finding was the benefit of delaying nanoparticle binding until after sufficient diffusion into the tissue.
- Nanoparticles designed with these guidelines achieved desired tissue penetration at lower doses compared to classical targeted nanoparticles.
- The design strategy proved effective across various tumor scenarios without requiring fine-tuning of kinetics or size.
Conclusions:
- The proposed nanoparticle design guidelines offer a strategy to improve drug delivery and therapeutic efficacy in cancer treatment.
- Delayed binding is a critical factor for enhancing nanoparticle penetration and accumulation in tumor tissues.
- Computational modeling serves as a valuable tool for exploring and optimizing nanoparticle behavior for therapeutic applications.
