Literature DB >> 27655421

Generalized plasma skimming model for cells and drug carriers in the microvasculature.

Tae-Rin Lee1, Sung Sic Yoo2, Jiho Yang2,3.   

Abstract

In microvascular transport, where both blood and drug carriers are involved, plasma skimming has a key role on changing hematocrit level and drug carrier concentration in capillary beds after continuous vessel bifurcation in the microvasculature. While there have been numerous studies on modeling the plasma skimming of blood, previous works lacked in consideration of its interaction with drug carriers. In this paper, a generalized plasma skimming model is suggested to predict the redistributions of both the cells and drug carriers at each bifurcation. In order to examine its applicability, this new model was applied on a single bifurcation system to predict the redistribution of red blood cells and drug carriers. Furthermore, this model was tested at microvascular network level under different plasma skimming conditions for predicting the concentration of drug carriers. Based on these results, the applicability of this generalized plasma skimming model is fully discussed and future works along with the model's limitations are summarized.

Keywords:  Drug carrier; Microvascular transport; Nanomedicine; Plasma skimming

Mesh:

Substances:

Year:  2016        PMID: 27655421     DOI: 10.1007/s10237-016-0832-z

Source DB:  PubMed          Journal:  Biomech Model Mechanobiol        ISSN: 1617-7940


  2 in total

1.  Influence of feeding hematocrit and perfusion pressure on hematocrit reduction (Fåhraeus effect) in an artificial microvascular network.

Authors:  Walter H Reinhart; Nathaniel Z Piety; Sergey S Shevkoplyas
Journal:  Microcirculation       Date:  2017-11       Impact factor: 2.628

2.  Simulations of blood as a suspension predicts a depth dependent hematocrit in the circulation throughout the cerebral cortex.

Authors:  Grant Hartung; Claudia Vesel; Ryan Morley; Ali Alaraj; John Sled; David Kleinfeld; Andreas Linninger
Journal:  PLoS Comput Biol       Date:  2018-11-19       Impact factor: 4.475

  2 in total

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