Literature DB >> 27705771

Direct Tracking of Particles and Quantification of Margination in Blood Flow.

Erik J Carboni1, Brice H Bognet2, Grant M Bouchillon3, Andrea L Kadilak1, Leslie M Shor4, Michael D Ward1, Anson W K Ma5.   

Abstract

Margination refers to the migration of particles toward blood vessel walls during blood flow. Understanding the mechanisms that lead to margination will aid in tailoring the attributes of drug-carrying particles for effective drug delivery. Most previous studies evaluated the margination propensity of these particles via an adhesion mechanism, i.e., by measuring the number of particles that adhered to the channel wall. Although particle adhesion and margination are related, adhesion also depends on other factors. In this study, we quantified the margination propensity of particles of varying diameters (0.53, 0.84, and 2.11 μm) and apparent wall shear rates (30, 61, and 121 s-1) by directly tracking fluorescent particles flowing through a microfluidic channel. The margination parameter, M, is defined as the total number of particles found within the cell-free layers normalized by the total number of particles that passed through the channel. In this study, an M-value of 0.2 indicated no margination, which was observed for all particle sizes in water. In the case of blood, larger particles were found to have higher M-values and thus marginated more effectively than smaller particles. The corresponding M-values at the device outlet were 0.203, 0.223, and 0.285 for 0.53-, 0.84-, and 2.11-μm particles, respectively. At the inlet, the M-values for all particle sizes in blood were <0.2, suggesting that non-fully-developed flow and constriction may lead to demargination. For particle velocities transverse to the flow direction (vy), all particle sizes showed a larger standard deviation of vy as well as a higher effective diffusivity when the particles were suspended in blood relative to water. These higher values are attributed to collisions between the blood cells and particles, further supporting recent simulation results. In terms of flow rates, for a given particle size, the higher the flow rate, the higher the M-value.
Copyright © 2016 Biophysical Society. Published by Elsevier Inc. All rights reserved.

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Year:  2016        PMID: 27705771      PMCID: PMC5052466          DOI: 10.1016/j.bpj.2016.08.026

Source DB:  PubMed          Journal:  Biophys J        ISSN: 0006-3495            Impact factor:   4.033


  46 in total

1.  Tank treading and unbinding of deformable vesicles in shear flow: determination of the lift force.

Authors:  Manouk Abkarian; Colette Lartigue; Annie Viallat
Journal:  Phys Rev Lett       Date:  2002-01-25       Impact factor: 9.161

2.  Dimensions of blood vessels from distributing artery to collecting vein.

Authors:  M P WIEDEMAN
Journal:  Circ Res       Date:  1963-04       Impact factor: 17.367

3.  A theoretical model for the margination of particles within blood vessels.

Authors:  P Decuzzi; S Lee; B Bhushan; M Ferrari
Journal:  Ann Biomed Eng       Date:  2005-02       Impact factor: 3.934

4.  Dynamics of vesicles in a wall-bounded shear flow.

Authors:  M Abkarian; A Viallat
Journal:  Biophys J       Date:  2005-05-13       Impact factor: 4.033

Review 5.  Blood cell interactions and segregation in flow.

Authors:  Lance L Munn; Michael M Dupin
Journal:  Ann Biomed Eng       Date:  2008-01-11       Impact factor: 3.934

Review 6.  Intravascular delivery of particulate systems: does geometry really matter?

Authors:  Paolo Decuzzi; Renata Pasqualini; Wadih Arap; Mauro Ferrari
Journal:  Pharm Res       Date:  2008-08-20       Impact factor: 4.200

7.  The effect of shape on the margination dynamics of non-neutrally buoyant particles in two-dimensional shear flows.

Authors:  F Gentile; C Chiappini; D Fine; R C Bhavane; M S Peluccio; M Ming-Cheng Cheng; X Liu; M Ferrari; P Decuzzi
Journal:  J Biomech       Date:  2008-06-20       Impact factor: 2.712

8.  Openings between defective endothelial cells explain tumor vessel leakiness.

Authors:  H Hashizume; P Baluk; S Morikawa; J W McLean; G Thurston; S Roberge; R K Jain; D M McDonald
Journal:  Am J Pathol       Date:  2000-04       Impact factor: 4.307

9.  Flow chamber analysis of size effects in the adhesion of spherical particles.

Authors:  P Decuzzi; F Gentile; A Granaldi; A Curcio; F Causa; C Indolfi; P Netti; M Ferrari
Journal:  Int J Nanomedicine       Date:  2007

10.  The margination propensity of spherical particles for vascular targeting in the microcirculation.

Authors:  Francesco Gentile; Antonio Curcio; Ciro Indolfi; Mauro Ferrari; Paolo Decuzzi
Journal:  J Nanobiotechnology       Date:  2008-08-15       Impact factor: 10.435

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  7 in total

1.  Antimargination of Microparticles and Platelets in the Vicinity of Branching Vessels.

Authors:  Christian Bächer; Alexander Kihm; Lukas Schrack; Lars Kaestner; Matthias W Laschke; Christian Wagner; Stephan Gekle
Journal:  Biophys J       Date:  2018-07-17       Impact factor: 4.033

2.  The Margination of Particles in Areas of Constricted Blood Flow.

Authors:  Erik J Carboni; Brice H Bognet; David B Cowles; Anson W K Ma
Journal:  Biophys J       Date:  2018-05-08       Impact factor: 4.033

3.  The interaction of vortical flows with red cells in venous valve mimics.

Authors:  Zyrina Alura C Sanchez; Vignesha Vijayananda; Devin M Virassammy; Liat Rosenfeld; Anand K Ramasubramanian
Journal:  Biomicrofluidics       Date:  2022-03-03       Impact factor: 2.800

4.  Quantifying Platelet Margination in Diabetic Blood Flow.

Authors:  Hung-Yu Chang; Alireza Yazdani; Xuejin Li; Konstantinos A A Douglas; Christos S Mantzoros; George Em Karniadakis
Journal:  Biophys J       Date:  2018-08-30       Impact factor: 4.033

5.  Cellular Level In-silico Modeling of Blood Rheology with An Improved Material Model for Red Blood Cells.

Authors:  Gábor Závodszky; Britt van Rooij; Victor Azizi; Alfons Hoekstra
Journal:  Front Physiol       Date:  2017-08-02       Impact factor: 4.566

6.  Identifying the start of a platelet aggregate by the shear rate and the cell-depleted layer.

Authors:  B J M van Rooij; G Závodszky; V W Azizi Tarksalooyeh; A G Hoekstra
Journal:  J R Soc Interface       Date:  2019-10-02       Impact factor: 4.118

Review 7.  Manual and Automatic Image Analysis Segmentation Methods for Blood Flow Studies in Microchannels.

Authors:  Violeta Carvalho; Inês M Gonçalves; Andrews Souza; Maria S Souza; David Bento; João E Ribeiro; Rui Lima; Diana Pinho
Journal:  Micromachines (Basel)       Date:  2021-03-18       Impact factor: 2.891

  7 in total

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