Nanoparticle transport and delivery in a heterogeneous pulmonary vasculature |
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| Institution: | 1. Department of Mechanical Engineering & Mechanics, Lehigh University, Bethlehem, PA 18015, USA;2. School of Mechanics and Engineering, Southwest Jiaotong University, 610031 Chengdu, China;3. Department of Mechanical Engineering & Mechanics Bioengineering Program, Lehigh University, Bethlehem, PA 18015, USA;1. Department of Biomedical Engineering, Tel Aviv University and Stony Brook University;2. Department of Biomedical Engineering, Stony Brook University, Stony Brook, NY 11794, USA;3. Department of Biomedical Engineering, Stony Brook University, Stony Brook, NY 11794, USA;1. IADI Inserm U947, Lorraine University, 4 Rue Du Morvan, 54500, Vandoeuvre lès Nancy, France;2. CIC-IT Nancy, Inserm CIC1433, 4 Rue Du Morvan, 54500, Vandoeuvre lès Nancy, France;3. Regional Maternity of University of Nancy, 10 Rue Heydenreich, 54000, Nancy, France;4. The Neurointerventional Department, CHRU of Nancy, 54000, Nancy, France;1. School of Chemistry, Physics & Mechanical Engineering, Queensland University of Technology (QUT), 2 George Street, GPO Box 2434, Brisbane QLD 4001, Australia;2. Validation Engineer Specialist, B. Braun Medical Inc., 2525 McGaw Avenue, Irvine, CA, USA;1. Department of Mechanical & Aerospace Engineering, North Carolina State University Raleigh, NC 27695, USA;2. Joint UNC-NCSU Department of Biomedical Engineering, North Carolina State University Raleigh, NC 27695, USA;1. Department of Mechanical & Aerospace Engineering, North Carolina State University, Raleigh, NC 27695-7910, United States;2. Joint UNC-NCSU Department of Biomedical Engineering, North Carolina State University, Raleigh, NC 27695-7910, United States;3. Department of Medicine, Division of Pulmonary, Allergy and Critical Care Medicine, Emory University, School of Medicine, United States;4. Department of Veterans Affairs, Atlanta VAMC, United States;1. Department of Mechanical & Aerospace Engineering, North Carolina State University, Raleigh, NC 27695, United States;2. Joint UNC-NCSU Department of Biomedical Engineering, North Carolina State University, Raleigh, NC 27695, United States |
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| Abstract: | Quantitative understanding of nanoparticles delivery in a complex vascular networks is very challenging because it involves interplay of transport, hydrodynamic force, and multivalent interactions across different scales. Heterogeneous pulmonary network includes up to 16 generations of vessels in its arterial tree. Modeling the complete pulmonary vascular system in 3D is computationally unrealistic. To save computational cost, a model reconstructed from MRI scanned images is cut into an arbitrary pathway consisting of the upper 4-generations. The remaining generations are represented by an artificially rebuilt pathway. Physiological data such as branch information and connectivity matrix are used for geometry reconstruction. A lumped model is used to model the flow resistance of the branches that are cut off from the truncated pathway. Moreover, since the nanoparticle binding process is stochastic in nature, a binding probability function is used to simplify the carrier attachment and detachment processes. The stitched realistic and artificial geometries coupled with the lumped model at the unresolved outlets are used to resolve the flow field within the truncated arterial tree. Then, the biodistribution of 200 nm, 700 nm and 2 µm particles at different vessel generations is studied. At the end, 0.2–0.5% nanocarrier deposition is predicted during one time passage of drug carriers through pulmonary vascular tree. Our truncated approach enabled us to ef?ciently model hemodynamics and accordingly particle distribution in a complex 3D vasculature providing a simple, yet efficient predictive tool to study drug delivery at organ level. |
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| Keywords: | Nanoparticle delivery Heterogeneous vasculature Human lung Truncated Model Adhesion probability function Organ level drug delivery |
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