Nanoparticle transport and delivery in a heterogeneous pulmonary vasculature

JOURNAL OF BIOMECHANICS

卷:50

Article; Proceedings Paper

Sohrabi, Salman¹  Wang, Shunqiang¹  Tan, Jifu¹  Xu, Jiang²  Yang, Jie²  Liu, Yaling^3,4 

[1] Lehigh Univ, Dept Mech Engn & Mech, Bethlehem, PA 18015 USA

[2] Southwest Jiaotong Univ, Sch Mech & Engn, Chengdu 610031, Peoples R China

[3] Lehigh Univ, Dept Mech Engn, Bethlehem, PA 18015 USA

[4] Lehigh Univ, Mech Bioengn Program, Bethlehem, PA 18015 USA

关键词: Nanoparticle delivery;    Heterogeneous vasculature;    Human lung;    Truncated Model;    Adhesion probability function;    Organ level drug delivery;   

DOI  :  10.1016/j.jbiomech.2016.11.023

来源: Elsevier

【 摘 要 】

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 pm 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 efficiently 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. (C) 2016 Elsevier Ltd. All rights reserved.

【 授权许可】

Free