Predicting different adhesive regimens of circulating particles at blood capillary walls

@article{Coclite2017PredictingDA,
  title={Predicting different adhesive regimens of circulating particles at blood capillary walls},
  author={Alessandro Coclite and Hilaria Mollica and Sergio Ranaldo and Giuseppe Pascazio and Marco D. de Tullio and Paolo Decuzzi},
  journal={Microfluidics and Nanofluidics},
  year={2017},
  volume={21}
}
A fundamental step in the rational design of vascular targeted particles is the firm adhesion at the blood vessel walls. Here, a combined lattice Boltzmann–immersed boundary model is presented for predicting the near-wall dynamics of circulating particles. A moving least squares algorithm is used to reconstruct the forcing term accounting for the immersed particle, whereas ligand-receptor binding at the particle–wall interface is described via forward and reverse probability distributions… 
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14 Citations
Background Citations
4
Methods Citations
4
Results Citations
1

14 Citations

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  • A. Coclite
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References

SHOWING 1-10 OF 44 REFERENCES

A combined Lattice Boltzmann and Immersed Boundary approach for predicting the vascular transport of differently shaped particles

Red blood cells initiate leukocyte rolling in postcapillary expansions: a lattice Boltzmann analysis.

Vascular deposition patterns for nanoparticles in an inflamed patient-specific arterial tree

A computational model is developed within the isogeometric analysis framework to understand and predict the vascular deposition of NPs within an inflamed arterial tree and provides insights into how size, ligand type, density, and multivalency can be manipulated to enhance NP vascular adhesion in an individual patient.

On the near-wall accumulation of injectable particles in the microcirculation: smaller is not better

The vascular distribution of spherical particles, from 10 to 1,000 nm in diameter, is studied using intravital microscopy and computational modeling, suggesting that sub-micron particles could deposit within diseased vascular districts more efficiently than conventional nanoparticles.

Strongly Accelerated Margination of Active Particles in Blood Flow.

Flow-induced clustering and alignment of vesicles and red blood cells in microcapillaries

This model combines a particle-based mesoscale simulation technique for the fluid hydrodynamics with a triangulated-membrane model and shows that already at very low HT, the deformability of RBCs implies a flow-induced cluster formation above a threshold flow velocity.

Lattice-Boltzmann simulation of blood flow in digitized vessel networks

Particulate nature of blood determines macroscopic rheology: a 2-D lattice Boltzmann analysis.

A powerful and flexible model that can be used to predict blood flow properties in any vessel geometry and with any blood composition, and reproduces the dramatic increases in flow resistance as WBCs enter short capillary segments.

Quantifying uncertainties in the microvascular transport of nanoparticles

A computational method that considers uncertainty is developed to predict nanoparticle dispersion and transport characteristics in the microvasculature with a three step process and shows that nanoparticle transport is highly sensitive to the microvessels.

Soft Discoidal Polymeric Nanoconstructs Resist Macrophage Uptake and Enhance Vascular Targeting in Tumors.

Upon injection in mice bearing nonorthotopic brain or skin cancers, s-DPNs exhibit ∼24 h circulation half-life and accumulate up to ∼20% of the injected dose per gram tumor, detecting malignant masses as small as ∼0.1% the animal weight via PET imaging.