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Virus-inspired design principles of nanoparticle-based bioagents.

Yuan H, Huang C, Zhang S - PLoS ONE (2010)

Bottom Line: The highly effectiveness and robustness of receptor-mediated viral invasion of living cells shed lights on the biomimetic design of nanoparticle(NP)-based therapeutics.Our analysis shows that the uptake rate interrelatedly depends on the particle size and ligand density, in contrast to the widely reported size effect.These findings are supported by both recent experiments and typical viral structures, and serve as fundamental principles for the rational design of NP-based nanomedicine.

View Article: PubMed Central - PubMed

Affiliation: Department of Engineering Science and Mechanics, The Pennsylvania State University, University Park, Pennsylvania, United States of America.

ABSTRACT
The highly effectiveness and robustness of receptor-mediated viral invasion of living cells shed lights on the biomimetic design of nanoparticle(NP)-based therapeutics. Through thermodynamic analysis, we elucidate that the mechanisms governing both the endocytic time of a single NP and the cellular uptake can be unified into a general energy-balance framework of NP-membrane adhesion and membrane deformation. Yet the NP-membrane adhesion strength is a globally variable quantity that effectively regulates the NP uptake rate. Our analysis shows that the uptake rate interrelatedly depends on the particle size and ligand density, in contrast to the widely reported size effect. Our model predicts that the optimal radius of NPs for maximal uptake rate falls in the range of 25-30 nm, and optimally several tens of ligands should be coated onto NPs. These findings are supported by both recent experiments and typical viral structures, and serve as fundamental principles for the rational design of NP-based nanomedicine.

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Related in: MedlinePlus

The lower bound and the ridge line extracted from the phase diagram of the uptake rate.The ridge line (optimal condition) follows a hyperbolic fitting ().
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pone-0013495-g006: The lower bound and the ridge line extracted from the phase diagram of the uptake rate.The ridge line (optimal condition) follows a hyperbolic fitting ().

Mentions: The ridge line of the phase diagram in Fig. 5 represents the optimal condition at varying particle size. Figure 6 plots the lower bound and the ridge line extracted from Fig. 5. Recall that the lower bound can be written as . Neglecting the membrane tension effect, the lower bound can be approximated (for and ). Figure 6 shows that the ridge line is fairly close to the lower bound, suggesting that the optimal condition can be approximated by , where is the optimal number of ligands that should be coated onto the NP surface. Indeed, we found that the ridge line follows well a hyperbolic fitting . It should be pointed out that this optimal number is independent of the particle size.


Virus-inspired design principles of nanoparticle-based bioagents.

Yuan H, Huang C, Zhang S - PLoS ONE (2010)

The lower bound and the ridge line extracted from the phase diagram of the uptake rate.The ridge line (optimal condition) follows a hyperbolic fitting ().
© Copyright Policy
Related In: Results  -  Collection

Show All Figures
getmorefigures.php?uid=PMC2957438&req=5

pone-0013495-g006: The lower bound and the ridge line extracted from the phase diagram of the uptake rate.The ridge line (optimal condition) follows a hyperbolic fitting ().
Mentions: The ridge line of the phase diagram in Fig. 5 represents the optimal condition at varying particle size. Figure 6 plots the lower bound and the ridge line extracted from Fig. 5. Recall that the lower bound can be written as . Neglecting the membrane tension effect, the lower bound can be approximated (for and ). Figure 6 shows that the ridge line is fairly close to the lower bound, suggesting that the optimal condition can be approximated by , where is the optimal number of ligands that should be coated onto the NP surface. Indeed, we found that the ridge line follows well a hyperbolic fitting . It should be pointed out that this optimal number is independent of the particle size.

Bottom Line: The highly effectiveness and robustness of receptor-mediated viral invasion of living cells shed lights on the biomimetic design of nanoparticle(NP)-based therapeutics.Our analysis shows that the uptake rate interrelatedly depends on the particle size and ligand density, in contrast to the widely reported size effect.These findings are supported by both recent experiments and typical viral structures, and serve as fundamental principles for the rational design of NP-based nanomedicine.

View Article: PubMed Central - PubMed

Affiliation: Department of Engineering Science and Mechanics, The Pennsylvania State University, University Park, Pennsylvania, United States of America.

ABSTRACT
The highly effectiveness and robustness of receptor-mediated viral invasion of living cells shed lights on the biomimetic design of nanoparticle(NP)-based therapeutics. Through thermodynamic analysis, we elucidate that the mechanisms governing both the endocytic time of a single NP and the cellular uptake can be unified into a general energy-balance framework of NP-membrane adhesion and membrane deformation. Yet the NP-membrane adhesion strength is a globally variable quantity that effectively regulates the NP uptake rate. Our analysis shows that the uptake rate interrelatedly depends on the particle size and ligand density, in contrast to the widely reported size effect. Our model predicts that the optimal radius of NPs for maximal uptake rate falls in the range of 25-30 nm, and optimally several tens of ligands should be coated onto NPs. These findings are supported by both recent experiments and typical viral structures, and serve as fundamental principles for the rational design of NP-based nanomedicine.

Show MeSH
Related in: MedlinePlus