Literature DB >> 34367404

Numerical simulation of intracellular drug delivery via rapid squeezing.

Mehdi Nikfar1, Meghdad Razizadeh1, Ratul Paul1, Yuyuan Zhou2, Yaling Liu.   

Abstract

Intracellular drug delivery by rapid squeezing is one of the most recent and simple cell membrane disruption-mediated drug encapsulation approaches. In this method, cell membranes are perforated in a microfluidic setup due to rapid cell deformation during squeezing through constricted channels. While squeezing-based drug loading has been successful in loading drug molecules into various cell types, such as immune cells, cancer cells, and other primary cells, there is so far no comprehensive understanding of the pore opening mechanism on the cell membrane and the systematic analysis on how different channel geometries and squeezing speed influence drug loading. This article aims to develop a three-dimensional computational model to study the intracellular delivery for compound cells squeezing through microfluidic channels. The Lattice Boltzmann method, as the flow solver, integrated with a spring-connected network via frictional coupling, is employed to capture compound capsule dynamics over fast squeezing. The pore size is proportional to the local areal strain of triangular patches on the compound cell through mathematical correlations derived from molecular dynamics and coarse-grained molecular dynamics simulations. We quantify the drug concentration inside the cell cytoplasm by introducing a new mathematical model for passive diffusion after squeezing. Compared to the existing models, the proposed model does not have any empirical parameters that depend on operating conditions and device geometry. Since the compound cell model is new, it is validated by simulating a nucleated cell under a simple shear flow at different capillary numbers and comparing the results with other numerical models reported in literature. The cell deformation during squeezing is also compared with the pattern found from our compound cell squeezing experiment. Afterward, compound cell squeezing is modeled for different cell squeezing velocities, constriction lengths, and constriction widths. We reported the instantaneous cell center velocity, variations of axial and vertical cell dimensions, cell porosity, and normalized drug concentration to shed light on the underlying physics in fast squeezing-based drug delivery. Consistent with experimental findings in the literature, the numerical results confirm that constriction width reduction, constriction length enlargement, and average cell velocity promote intracellular drug delivery. The results show that the existence of the nucleus increases cell porosity and loaded drug concentration after squeezing. Given geometrical parameters and cell average velocity, the maximum porosity is achieved at three different locations: constriction entrance, constriction middle part, and outside the constriction. Our numerical results provide reasonable justifications for experimental findings on the influences of constriction geometry and cell velocity on the performance of cell-squeezing delivery. We expect this model can help design and optimize squeezing-based cargo delivery.
© 2021 Author(s).

Entities:  

Year:  2021        PMID: 34367404      PMCID: PMC8331209          DOI: 10.1063/5.0059165

Source DB:  PubMed          Journal:  Biomicrofluidics        ISSN: 1932-1058            Impact factor:   3.258


  47 in total

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7.  Cell squeezing as a robust, microfluidic intracellular delivery platform.

Authors:  Armon Sharei; Nahyun Cho; Shirley Mao; Emily Jackson; Roberta Poceviciute; Andrea Adamo; Janet Zoldan; Robert Langer; Klavs F Jensen
Journal:  J Vis Exp       Date:  2013-11-07       Impact factor: 1.355

8.  Gene transfer into mouse lyoma cells by electroporation in high electric fields.

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9.  Microfluidic squeezing for intracellular antigen loading in polyclonal B-cells as cellular vaccines.

Authors:  Gregory Lee Szeto; Debra Van Egeren; Hermoon Worku; Armon Sharei; Brian Alejandro; Clara Park; Kirubel Frew; Mavis Brefo; Shirley Mao; Megan Heimann; Robert Langer; Klavs Jensen; Darrell J Irvine
Journal:  Sci Rep       Date:  2015-05-22       Impact factor: 4.379

10.  Live-cell protein labelling with nanometre precision by cell squeezing.

Authors:  Alina Kollmannsperger; Armon Sharei; Anika Raulf; Mike Heilemann; Robert Langer; Klavs F Jensen; Ralph Wieneke; Robert Tampé
Journal:  Nat Commun       Date:  2016-01-29       Impact factor: 14.919

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