Literature DB >> 8842246

Analysis of red blood cell motion through cylindrical micropores: effects of cell properties.

T W Secomb1, R Hsu.   

Abstract

Filtration through micropores is frequently used to assess red blood cell deformability, but the dependence of pore transit time on cell properties is not well understood. A theoretical model is used to simulate red cell motion through cylindrical micropores with diameters of 3.6, 5, and 6.3 microns, and 11-microns length, at driving pressures of 100-1000 dyn/cm2. Cells are assumed to have axial symmetry and to conserve surface area during deformation. Effects of membrane shear viscosity and elasticity are included, but bending resistance is neglected. A time-dependent lubrication equation describing the motion of the suspending fluid is solved, together with the equations for membrane equilibrium, using a finite difference method. Predicted transit times are consistent with previous experimental observations. Time taken for cells to enter pores represents more than one-half of the transit time. Predicted transit time increases with increasing membrane viscosity and with increasing cell volume. It is relatively insensitive to changes in internal viscosity and to changes in membrane elasticity except in the narrowest pores at low driving pressures. Elevating suspending medium viscosity does not increase sensitivity of transit time to membrane properties. Thus filterability of red cells is sensitively dependent on their resistance to transient deformations, which may be a key determinant of resistance to blood flow in the microcirculation.

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Year:  1996        PMID: 8842246      PMCID: PMC1233564          DOI: 10.1016/S0006-3495(96)79311-6

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


  16 in total

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Journal:  Biophys J       Date:  1976-01       Impact factor: 4.033

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Authors:  T C Fisher; R B Wenby; H J Meiselman
Journal:  Biorheology       Date:  1992 Mar-Jun       Impact factor: 1.875

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Authors:  A Drochon; D Barthes-Biesel; C Bucherer; C Lacombe; J C Lelievre
Journal:  Biorheology       Date:  1993 Jan-Feb       Impact factor: 1.875

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Authors:  R Hsu; T W Secomb
Journal:  J Biomech Eng       Date:  1989-05       Impact factor: 2.097

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Journal:  Proc R Soc Lond B Biol Sci       Date:  1969-11-18

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Authors:  R S Frank; R M Hochmuth
Journal:  J Biomech Eng       Date:  1987-05       Impact factor: 2.097

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Authors:  C Bucherer; J C Lelièvre; C Lacombe
Journal:  Biorheology       Date:  1988       Impact factor: 1.875

8.  Effect of erythrocyte deformability on in vivo red cell transit time and hematocrit and their correlation with in vitro filterability.

Authors:  H H Lipowsky; L E Cram; W Justice; M J Eppihimer
Journal:  Microvasc Res       Date:  1993-07       Impact factor: 3.514

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Authors:  A R Pries; T W Secomb; T Gessner; M B Sperandio; J F Gross; P Gaehtgens
Journal:  Circ Res       Date:  1994-11       Impact factor: 17.367

10.  Roles of cell geometry and cellular viscosity in red cell passage through narrow pores.

Authors:  W H Reinhart; S Chien
Journal:  Am J Physiol       Date:  1985-05
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  7 in total

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Journal:  Biophys J       Date:  2015-05-05       Impact factor: 4.033

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5.  A microfabricated deformability-based flow cytometer with application to malaria.

Authors:  Hansen Bow; Igor V Pivkin; Monica Diez-Silva; Stephen J Goldfless; Ming Dao; Jacquin C Niles; Subra Suresh; Jongyoon Han
Journal:  Lab Chip       Date:  2011-02-03       Impact factor: 6.799

6.  Combined simulation and experimental study of large deformation of red blood cells in microfluidic systems.

Authors:  David J Quinn; Igor Pivkin; Sophie Y Wong; Keng-Hwee Chiam; Ming Dao; George Em Karniadakis; Subra Suresh
Journal:  Ann Biomed Eng       Date:  2010-12-14       Impact factor: 3.934

7.  Optimal occlusion uniformly partitions red blood cells fluxes within a microvascular network.

Authors:  Shyr-Shea Chang; Shenyinying Tu; Kyung In Baek; Andrew Pietersen; Yu-Hsiu Liu; Van M Savage; Sheng-Ping L Hwang; Tzung K Hsiai; Marcus Roper
Journal:  PLoS Comput Biol       Date:  2017-12-15       Impact factor: 4.475

  7 in total

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