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Biophys J, October 2002, p. 1917-1933, Vol. 83, No. 4

Neutrophil Transit Times through Pulmonary Capillaries: The Effects of Capillary Geometry and fMLP-Stimulation

Mark Bathe,* Atsushi Shirai,* Claire M. Doerschuk,dagger and Roger D. Kamm*

 *Department of Mechanical Engineering and Division of Biological Engineering, Massachusetts Institute of Technology Cambridge, Massachusetts 02139 and  dagger Department of Pediatrics, Rainbow Babies and Children's Hospital and Case Western Reserve University, Cleveland, Ohio 44106 USA


    ABSTRACT
TOP
ABSTRACT
INTRODUCTION
MODELING
NUMERICAL SOLUTION OF THE...
RESULTS
DISCUSSION
APPENDIX
REFERENCES

The deformations of neutrophils as they pass through the pulmonary microcirculation affect their transit time, their tendency to contact and interact with the endothelial surface, and potentially their degree of activation. Here we model the cell as a viscoelastic Maxwell material bounded by constant surface tension and simulate indentation experiments to quantify the effects of (N-formyl-L-methionyl-L-leucyl-L-phenylalanine (fMLP)-stimulation on its mechanical properties (elastic shear modulus and viscosity). We then simulate neutrophil transit through individual pulmonary capillary segments to determine the relative effects of capillary geometry and fMLP-stimulation on transit time. Indentation results indicate that neutrophil viscosity and shear modulus increase by factors of 3.4, for 10-9 M fMLP, and 7.3, for 10-6 M fMLP, over nonstimulated cell values, determined to be 30.8 Pa·s and 185 Pa, respectively. Capillary flow results indicate that capillary entrance radius of curvature has a significant effect on cell transit time, in addition to minimum capillary radius and neutrophil stimulation level. The relative effects of capillary geometry and fMLP on neutrophil transit time are presented as a simple dimensionless expression and their physiological significance is discussed.


    INTRODUCTION
TOP
ABSTRACT
INTRODUCTION
MODELING
NUMERICAL SOLUTION OF THE...
RESULTS
DISCUSSION
APPENDIX
REFERENCES

Neutrophils are larger in average diameter than about 40% of capillary segments in the human lungs (Doerschuk et al., 1993), and transit between 50 and 100 segments in a single pass through the extensively interconnected pulmonary microcirculation (Hogg et al., 1994). These factors, together with their decreased deformability relative to erythrocytes, cause neutrophils to be delayed for seconds or even longer before they deform sufficiently to transit individual pulmonary capillary segments, and result in an increased concentration of the cells in the pulmonary capillary blood with respect to erythrocytes (Lien et al., 1987, 1990, 1991; Doerschuk, et al., 1993, 2001; Hogg et al., 1994). Chemoattractants such as N-formyl-L-methionyl-L-leucyl-L-phenylalanine (fMLP), which have been shown to decrease neutrophil deformability, also increase neutrophil concentration in the lungs (Worthen et al., 1989; Lipowsky et al., 1991).

We recently used a computational network model of the pulmonary microcirculation to estimate pressure drops in the lung. Normal segmental pressure drops were found to be ~10 Pa (0.1 cmH20), increasing locally by 100-300% when a local capillary segment was blocked by a deforming neutrophil (Huang et al., 2001). In that study, the transit time of a neutrophil through an individual capillary segment was based in part on results of micropipette aspiration experiments (Fenton et al., 1985) and in part on theoretical predictions of cell entrance into a micropipette (Yeung and Evans, 1989) (neutrophil "entrance time" and "transit time" are considered synonymous in this study because we are only concerned with transit through capillaries that are relatively short and narrow, so that the bulk of the cell's transit time consists of its entering into the narrowest part of the capillary segment). Though the expression incorporated the separate effects of driving pressure and minimum capillary radius on neutrophil transit time, it was based on studies using blunt-ended micropipettes. We noted, however, that capillary geometry could significantly influence neutrophil transit times and that entrance curvature and lack of axisymmetry were important effects to consider. This provided the primary motivation for the present study, namely to obtain a more general expression for neutrophil transit time that addresses the effects of entrance geometry. We also sought to better understand the relative importance of cell activation level on transit time through the pulmonary capillaries.

To address these issues, an existing neutrophil model was selected from the literature and appropriate model parameter values were determined for its nonstimulated behavior and for two levels of stimulation produced by treatment with fMLP (10-9 and 10-6 M). We modeled the cell as a homogeneous viscoelastic Maxwell material with a constant bounding surface tension of 31 pN/µm (Dong et al., 1988). The Maxwell model parameter values (elastic shear modulus Gcell and viscosity µcell) were determined by simulating previously performed indentation experiments (Worthen et al., 1989) on nonstimulated and fMLP-stimulated neutrophils, and varying the parameters to best fit the experimental data. In the subsequent phase of the study, we modeled and simulated neutrophil transit through individual, axisymmetric pulmonary capillary segments. Minimum capillary radius and capillary entrance geometry (more specifically, the radius of curvature of the constriction) were varied to quantify their respective effects on transit time. For this purpose, we performed a fully coupled fluid-solid interaction finite element analysis using a nonlinear kinematic description for the cell and an arbitrary Lagrangian-Eulerian (ALE) formulation for the surrounding plasma. Effects of cell-capillary wall adhesion and time-varying cellular behavior during transit, such as actin polymerization, were neglected.

In what follows, we begin by presenting the continuum mathematical models used for nonstimulated and fMLP-stimulated neutrophils (they are geometrically and constitutively identical, differing only in the specific values of their constitutive constants determined from the indentation experiments), the indentation experiment, and pulmonary capillary segments. We then present the essential features of the finite element methods used to obtain their solutions. Indentation results are presented next, followed by our predictions of dimensionless capillary transit times. A simple, closed-form expression that fits the data in the Newtonian, or viscous deformation-dominated, limit is presented, as well as a correction that accounts for the effects of cellular elasticity. Dimensionless and dimensional transit times are considered in a physiological context in the Discussion that follows, in which the relative effects of fMLP and capillary geometry on cell transit time are addressed.


    MODELING
TOP
ABSTRACT
INTRODUCTION
MODELING
NUMERICAL SOLUTION OF THE...
RESULTS
DISCUSSION
APPENDIX
REFERENCES

The neutrophil

Of the various mechanical models that have been proposed for the neutrophil, three are most widely accepted. Although each treats the cell as a homogeneous, incompressible, deformable sphere, only two consider explicitly the cortical region, treating it as a bounding membrane that exerts a small constant surface tension of order 30 pN/µm. In one model, the cell is treated as a linear standard viscoelastic solid (Schmid-Schönbein et al., 1981; Sung et al., 1988; Lipowsky et al., 1991), in another, as a Newtonian fluid bounded by constant surface tension (Evans and Yeung, 1989; Frank and Tsai, 1990; Needham and Hochmuth, 1990; Tran-Son-Tay et al., 1991; Hochmuth et al., 1993; Drury and Dembo, 1999), and in the last, as a linear Maxwell material, also bounded by constant surface tension (Dong et al., 1988; Skalak et al., 1990).

Of these three models, the Maxwell model with constant surface tension was selected for use in the present study. The model incorporates the elastic restoring effects of the actin-rich cortical layer lining the periphery of the cell, lying just below its external lipid bilayer, with the ability to capture both the elastic, solid-like short time-scale behavior of the cell and its viscous, fluid-like long time-scale behavior (Schmid-Schonbein et al., 1981; Evans and Kukan, 1984; Dong et al., 1988). Additionally, it is capable of predicting the experimentally observed linear compressive stroke force-displacement relation exhibited by neutrophils during indentation, provided the material property values are appropriately chosen. Despite their predictive capabilities, the Newtonian model neglects cellular elasticity and predicts a concave downward force-displacement relation during indentation (Zahalak et al., 1990), and the standard solid model neglects the cell's cortical tension and predicts a static deformation limit to constant applied loads, in contradiction to the fluid-like behavior exhibited by neutrophils during micropipette aspiration (Evans and Yeung, 1989). We chose not to adopt one of the more recent inhomogeneous neutrophil models that treat the multi-lobed nucleus as a distinct entity from the cytoplasm (Tran-Son-Tay et al., 1998) due to their added complexity and because the limited amount of indentation data available to us precluded a unique determination of cytoplasmic and nuclear mechanical properties. Cortical shell bending effects were also neglected, because they have been shown in a micropipette aspiration study to be important only for very small pipette radii, less than 1 µm (Zhelev et al., 1994).

Unlike nonstimulated neutrophils, for which numerous published models exist, fMLP-stimulated neutrophils have not been modeled extensively. For this reason, it was necessary to determine an appropriate model for fMLP-stimulated cells, and to determine appropriate model parameter values corresponding to various levels of stimulation. For consistency with the nonstimulated cell model, and due to its ability to accurately predict the force-displacement indentation data for fMLP-stimulated neutrophils, the Maxwell model with constant surface tension was also used to model the cell in its fMLP-stimulated state. Indentation experiments on nonstimulated and two levels of fMLP-stimulated neutrophils (10-9 and 10-6 M) were simulated to determine their appropriate model parameter values (Worthen, et al., 1989).

For the nonstimulated neutrophil, a constant cortical tension of 31 pN/µm was assumed (Dong et al., 1988). For the fMLP-stimulated neutrophils, two assumptions regarding the effects of fMLP on neutrophil mechanical properties were made. First, the cortical tension of the cell was assumed to be unaffected by fMLP. Second, the characteristic viscoelastic decay time of the cell (µcell/Gcell) was assumed to be unaffected by fMLP concentration and equal to the value found for the nonstimulated cell, <FR><NU>1</NU><DE>6</DE></FR> s. The former assumption was made in the absence of quantitative information regarding the specific effects of fMLP on cortical tension, though it might be expected that cortical tension would increase in the presence of fMLP due to the high actin content of the cortical region and the fact that the primary effect of fMLP is to increase actin assembly (Worthen et al., 1989; Motosugi et al., 1996). (This is particularly the case when one considers that fMLP has been found to localize F-actin in the submembraneous region of circulating neutrophils [Saito et al., 2002] and that cytochalasin-D, which is known to disrupt actin filament organization, has been found to reduce cortical tension by 40-60% [Ting-Beall et al., 1995].) The latter assumption was made because we lacked an empirical basis for any other assumption, as might have been derived from the entire indentation force-displacement relation exhibited in studies of the type performed by Worthen et al., (1989).

Mathematical model

The updated Lagrangian Hencky formulation was used to describe the kinematics of the neutrophil, accounting for the large displacements, rotations, and strains present in the model. The nonlinear kinematic formulation uses Cauchy stresses and their conjugate measure of deformation, Hencky (natural, logarithmic, or true) strains. For simplicity, we present here the Maxwell material constitutive law assuming small strain and small displacement conditions, and refer the reader to (K. J. Bathe, 1996) for details on how the extension is made to the fully nonlinear kinematic formulation used in the simulations.

We define the traceless stress deviator, T', representing the state of pure shear stress at a point as
<UP><B>T</B>′ = <B>T</B></UP>−<FR><NU>1</NU><DE>3</DE></FR> T<SUB><UP>kk</UP></SUB><UP><B>I</B>,</UP> (1)
where T is the Cauchy stress tensor, I is the identity tensor, and the summation convention is used. The traceless strain deviator, E', representing the state of pure shear strain at a point is defined as
<UP><B>E</B>′ = <B>E</B></UP>−<FR><NU>1</NU><DE>3</DE></FR> E<SUB><UP>kk</UP></SUB><UP><B>I</B>,</UP> (2)
where E is the small strain tensor
(3)
and u is the material displacement vector.

Stress and strain in the homogeneous cell interior are related through the linear Maxwell constitutive law, written in differential form for the deviatoric response as
<FR><NU><UP><B>T</B>′</UP></NU><DE><UP>2&mgr;<SUB>cell</SUB></UP></DE></FR><UP>+</UP><FR><NU><A><AC><UP><B>T</B></UP></AC><AC>˙</AC></A><UP><B>′</B></UP></NU><DE>2G<SUB><UP>cell</UP></SUB></DE></FR><UP>=<B><A><AC>E</AC><AC>˙</AC></A></B>′,</UP> (4)
where µcell is the constant coefficient of viscosity, Gcell is the constant elastic shear modulus, and a superimposed dot denotes time rate of change. Defining the mechanical pressure, p, to be the average compressive stress (p triple-bond  -<FR><NU>1</NU><DE>3</DE></FR>Tkk), the bulk response of a Maxwell material can be expressed as
p=−&kgr;<SUB><UP>cell</UP></SUB>E<SUB><UP>kk</UP></SUB><UP>,</UP> (5)
where kappa cell is the bulk modulus. In this study, we assume that the cell is nearly incompressible, with a Poisson ratio of 0.499, so that the bulk modulus is related to the shear modulus by, kappa cell = 500Gcell.

The cortical layer lining the cell was modeled as a uniform thickness axisymmetric shell with constant in-plane equibiaxial tensile prestress (a two-dimensional state of constant negative pressure). A linear elastic stress-strain law with a vanishingly small elastic modulus (E = 10-4 Pa) was chosen to model the constitutive behavior of the shell, and a very small shell thickness (1 nm) was assumed to ensure that bending and deformation-induced membrane effects on the response of the cell were negligible. These modeling assumptions approximated a constant, uniform surface tension bounding the cell that can be expressed as
<UP><B>n</B></UP> · <B><UP>T</UP></B><SUP>(<UP>cell</UP>)</SUP><UP> <B>n</B> = <B>n</B></UP> · <B><UP>T</UP></B><SUP>(<UP>ext</UP>)</SUP><UP> <B>n</B> + 2</UP>H<UP>&ggr; on </UP>S<SUB><UP>cell</UP></SUB><UP>,</UP> (6)
where Scell denotes the cell's bounding surface, T(cell) is the Cauchy stress tensor in the cell, T(ext) is the Cauchy stress tensor in the body that is external to the cell (indenter or plasma), n is the local outward-directed unit normal to the cell surface, gamma  denotes the constant coefficient of surface tension, and H denotes the mean local curvature of the cell surface, assumed positive when the center of curvature lies in the direction of the normal, and negative otherwise. The mean local curvature of the cell surface, H, can be expressed as the mean of the curvatures, 1/R1 and 1/R2, of the surface in any two orthogonal planes containing the surface normal, where the curvatures have the same sign convention as H,
H=<FR><NU>1</NU><DE>2</DE></FR> <FENCE><FR><NU>1</NU><DE>R<SUB>1</SUB></DE></FR>+<FR><NU>1</NU><DE>R<SUB>2</SUB></DE></FR></FENCE>. (7)

Neutrophil indentation

The neutrophil-indentation model mimics the experimental study of Worthen et al., (1989) and is consistent with a previous finite-element simulation of the experiment (Zahalak et al., 1990). The experiment consisted of indenting individual neutrophils at a constant rate of indentation with a micrometer-scale glass rod (the indenter) and measuring the time course of the resultant force. During indentation, the cell was supported by a substrate that, like the indenter, was effectively rigid. The indentation experiments were conducted at room temperature using 30-82 cells from each of five donors, providing a statistical dataset for the neutrophil models to be based upon.

Mathematical model

The undeformed cellular radius, Rcell, the indenter radius, Rindenter, and the radius of curvature of the indenter corner, rho , (Fig. 1) have values of 4, 1, and 0.15 µm, respectively. The axisymmetric equations of equilibrium used to integrate the time-dependent viscoelastic response of the cell can be written as
<UP>div <B>T</B> = <B>0</B>,</UP> (8)
where we note that mass conservation was automatically satisfied by the use of a Lagrangian formulation.



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FIGURE 1   Initial configuration of indentation model: schematic of neutrophil, indenter, and substrate.

Indentation velocity, <A><AC>&Dgr;</AC><AC>˙</AC></A>, was prescribed at the top centermost point of the indenter and corresponded to the experimental value of 5.1 µm/s. Velocity was constant and equal in magnitude during the indentation and retraction strokes, and the indenter reached a maximum depth of Delta max, corresponding to 1.5 µm. Although the experimental value of Delta max was 2.2-2.6 µm, 1.5 µm was deemed sufficient for the simulations due to the linearity of the indenter force-displacement relationship during the downward, indentation stroke, observed both experimentally and numerically. Frictionless contact was assumed to occur between the indenter-cell and the substrate-cell surfaces, neglecting possible effects arising from biochemical adhesion. The kinematical contact condition satisfied at all times in the analysis by the contacting bodies (ensuring impenetrability) can be expressed as
<UP><B>v</B></UP><SUP>(<UP>cell</UP>)</SUP> · <B><UP>n</UP></B><UP> = <B>v</B></UP><SUP>(<UP>ext</UP>)</SUP> · <B><UP>n</UP></B><UP> on </UP>S<SUB><UP>contact</UP></SUB> (9)
where v(cell) is the material velocity of the cell, v(ext) is the material velocity of the external, contacting body, n is a unit vector normal to the contact surface, and Scontact is the relevant contact area, cell substrate or cell indenter. The normal stress jump present at the cell surface due to surface tension effects is as given in Eq. 6.

Capillary transit

Pulmonary capillaries vary in radius from 1 to 7.5 µm in humans, with a mean of 3.7 µm (Doerschuk et al., 1993). They constitute a vast and complex network of interconnected segments, each of which is highly irregular in both cross-section and length, providing a formidable challenge from a modeling standpoint (Weibel, 1963). Because the primary aim of this study was to characterize the effects of capillary entrance geometry on neutrophil transit time, extending the relationship known for blunt-ended micropipette geometries (Yeung and Evans, 1989; Huang et al., 2001), and because we confined our analyses to rigid axisymmetric geometries, we modeled a typical capillary constriction as having a constant radius of curvature in the plane containing the vessel axis (the constriction radius of curvature is denoted a in Figs. 2 and 3). This approximation is one of many that could have been used, but it is well motivated by the geometric nature of pulmonary capillaries as exhibited in the micrograph shown in Fig. 2, where capillary cross-sections are seen to have entrance geometries that are reasonably well characterized by a constant radius of curvature.



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FIGURE 2   SEM showing an interior view of the pulmonary capillaries in a rat lung, illustrating the motivation for modeling a typical capillary entrance as having a constant radius of curvature (labeled a above and in Fig. 3) (Reproduced by permission from Guntheroth et al., 1982).

It was also critical that we consider the glycocalyx. In the present model, the near-wall region is treated as a rigid layer, 100 nm thick and highly permeable to plasma. This is achieved by placing a frictionless contact surface 100 nm from the capillary wall. This assumption was made as a compromise between having no layer, in which case the neutrophil approaches to within several nanometers of the wall, and a representation of the glycocalyx as proposed in several recent models of red cell motion through capillaries (Pries et al., 1997; Damiano, 1998; Feng and Weinbaum, 2000). Note that, despite the recent progress made toward accurately modeling the glycocalyx, there is still considerable debate over the precise nature of the physical interaction between the glycocalyx and individual blood cells. Moreover, although it is likely that the pulmonary endothelium possesses a glycocalyx, to our knowledge it has not been directly observed and hence its thickness is unknown. Finally, although the thickness of the rigid layer used in our simulations was somewhat arbitrary, we numerically confirmed that the cellular transit times we obtained were independent of the specific value used within the range of 50 to 200 nm. The insensitivity of the cell's transit time to the layer thickness within this range is due to the facts that the pressure drop remained concentrated across the cell and the retarding shear stress imposed on the cell by the plasma in the layer region remained negligible (see Appendix).

Mathematical model

The axisymmetric capillary model is shown in Fig. 3, where the radii of curvature of the capillary wall and the contact surface are (a - delta ) and a, respectively, and the minimum constriction radius is Rmin. The layer thickness, chosen to be 100 nm, is denoted delta , and the unobstructed portions of the capillary were assumed to be cylindrical with radii Rcapillary. Choosing the right-handed cylindrical coordinate system (rtheta z) shown in Fig 3, the contact surface constriction radius, R(z), can be expressed analytically as
R(z)=(R<SUB><UP>min</UP></SUB>+a)−<RAD><RCD>a<SUP>2</SUP>−z<SUP>2</SUP></RCD></RAD> <UP>for </UP>(<UP>−</UP>l≤z≤l), (10)
where z denotes position along the capillary axis, and l is the axial half-length of the contact surface. The upstream and downstream straight sections of the capillary model were chosen to be between 8-15 and 23-26Rcell, respectively.



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FIGURE 3   Schematic of the model capillary geometry with the cell in its initial, undeformed configuration (the cell is moving from left to right).

The dynamical equations of motion were solved incrementally in time for both the cell and plasma, in a fully coupled manner. For the cell, the equations of motion are expressed in Lagrangian form as
&rgr;<SUB><UP>cell </UP></SUB><FR><NU>D<B><UP>v</UP></B></NU><DE>D<UP>t</UP></DE></FR>=<UP>div <B>T</B>,</UP> (11)
where rho cell is the constant cell density and the operator D/Dt denotes material time rate of change. For the plasma, the equations of motion are expressed in Arbitrary Lagrangian- Eulerian (ALE) form (K. J. Bathe et al., 1995). The ALE formulation was needed to maintain the integrity of the finite element mesh in the plasma domain as the cell underwent large displacements through the capillary constriction. In the ALE formulation, the equations of motion are expressed as
&rgr;<SUB><UP>plasma</UP></SUB><FENCE><FR><NU>&dgr;<B><UP>v</UP></B></NU><DE><UP>&dgr;t</UP></DE></FR>+(<UP><B>v</B> − <B>v</B><SUB>m</SUB></UP>)<UP> · grad <B>v</B></UP></FENCE>=<UP>div <B>T</B>,</UP> (12)
where rho plasma is the constant plasma density, vm is the mesh velocity, delta v/delta t is the time rate of change of the plasma velocity as measured at a moving mesh point, and all velocities are measured with respect to an inertial frame of reference. The equation of continuity for the plasma, treated as an incompressible, Newtonian fluid with viscosity µplasma, can be expressed as
<UP>div <B>v</B></UP>=0. (13)
For the plasma, a kinematical condition of no-slip was assumed on the rigid capillary wall,
<UP><B>v</B></UP>=<B><UP>0</UP></B><UP> on </UP>S<SUB><UP>capillary</UP></SUB>, (14)
and constant normal tractions were applied on the plasma at the capillary inlet and outlet
<UP><B>Tn</B></UP>=t<SUB><UP>inlet</UP></SUB><UP> <B>n</B> on </UP>S<SUB><UP>inlet</UP></SUB><UP>,</UP> (15)

<UP><B>Tn</B></UP>=t<SUB><UP>outlet</UP></SUB><UP> <B>n</B> on </UP>S<SUB><UP>outlet</UP></SUB><UP>,</UP> (16)
where tinlet and toutlet are the magnitudes of the prescribed inlet and outlet traction vectors, respectively. Fully developed flow at the inlet and outlet of the model resulted in the fluid pressure being equal to the applied normal tractions, and hence the total pressure drop across the capillary model, denoted Delta P, was simply equal to the difference between the normal traction values. Trans-capillary pressure drop was assumed to vary between the physiological values of 20 and 80 Pa (Huang et al., 2001) and, although the very low Reynolds number of the flow ensured that inertial effects were negligible, the inertial terms were retained in the momentum equations solely for numerical purposes.

Velocity and shear stress continuity were satisfied at the cell-plasma interface throughout the analysis, whereas there was a jump in the normal stress between the cell and plasma due to the effects of surface tension, as expressed earlier in Eq. 6.

When the cell enters the constriction, a portion of its surface contacts the capillary-constriction contact surface used to model cellular interactions with the glycocalyx (Fig. 3). While in contact, an additional normal traction is applied to the cell to ensure that the gap between the contact surface and capillary wall remains constant and equal to delta . During this time, the normal contact traction applied to the cell by the contact surface is superimposed upon the traction vector exerted onto the cell by the plasma (which generally consists of normal and shear components), so that a force balance is maintained at the cell-plasma-contact---surface interface.

Dimensional analysis

The transit time, T, required for the model cell to transit through the capillary constriction can be expressed in its most general form as a function of all the dimensional parameters in the model,
T=f(R<SUB><UP>cell</UP></SUB>, G<SUB><UP>cell</UP></SUB>, &mgr;<SUB><UP>cell</UP></SUB>, &ggr;, R<SUB><UP>capillary</UP></SUB>, (17)

R<SUB><UP>min</UP></SUB>, a, &dgr;, &mgr;<SUB><UP>plasma</UP></SUB>, &Dgr;P),
where T is defined as the time from which the leading edge of the cell crosses the capillary constriction inlet to the time when the trailing edge of the cell crosses the capillary constriction outlet. To reduce the number of independent dimensional parameters in Eq. 17, several simplifying assumptions are made. First, it is assumed that T will be nearly independent of the upstream and downstream capillary radius, Rcapillary, provided that T  tau conv, where tau conv is the convective time scale of the cell when it is freely traveling in the capillary (~Rcell/V, where V is the average plasma velocity in the unconstricted capillary). In this limit, the bulk of the transit time consists of the time spent by the cell squeezing through the capillary constriction, during which the constant pressure drop is applied across the cell, and is independent of the upstream and downstream capillary radii. Second, it is assumed that in the same limit, the capillary transit time will be insensitive to variations in plasma viscosity, µplasma, and gap thickness, delta , between the constriction contact surface and the wall. As the cell squeezes through the constriction, there are only two retarding forces balancing the axial pressure gradient: one is due to the axial component of the normal contact traction applied to the cell by the constriction contact surface and the other is due to the Couette component of the shear stress in the gap. As shown in the Appendix, for the parameter ranges explored in this study, the retarding force due to the Couette flow-induced shear stress is negligible, validating the assumption that the transit time is independent of µplasma and delta . Finally, we have excluded the upstream and downstream lengths of the capillary model from the transit time expression because viscous losses in those regions were negligible during transit. Thus, the applied trans-capillary pressure drop (Delta P) remained concentrated across the cell independently of their specific lengths, within the range provided in the mathematical model section.

Using the above arguments, the number of independent variables in the dimensional transit time equation above (Eq. 17) is reduced to seven,
T=g(R<SUB><UP>cell</UP></SUB>, G<SUB><UP>cell</UP></SUB>, &mgr;<SUB><UP>cell</UP></SUB>, R<SUB><UP>min</UP></SUB>, a, &Dgr;P, &ggr;). (18)
Choosing µcell/Delta P as the characteristic time scale, the dimensional transit time equation can be written in dimensionless form as
T*=h(G*, R*, a*, &ggr;*), (19)
where T* triple-bond  (TDelta Pcell), G* triple-bond  (Gcell/Delta P), R* triple-bond  (Rmin/Rcell), a* triple-bond  (a/Rcell), and gamma * triple-bond  [gamma /(Delta PRmin)] measures the effects of the bounding surface tension on reducing the effective pressure drop driving the cell into the constriction.


    NUMERICAL SOLUTION OF THE GOVERNING EQUATIONS
TOP
ABSTRACT
INTRODUCTION
MODELING
NUMERICAL SOLUTION OF THE...
RESULTS
DISCUSSION
APPENDIX
REFERENCES

Solutions of the nonlinear governing equations for the indentation and capillary flow models presented in the previous sections were obtained using a commercially available finite element program (ADINA, Version 7.5, Watertown, MA).

Finite element formulation

The cell interior was discretized in space with 4/1 quadrilateral axisymmetric mixed (u/p) solid elements. The elements use bilinear displacement interpolation and a constant pressure degree of freedom to analyze effectively nearly incompressible media (Sussman and Bathe, 1987). Two-node axisymmetric shell elements were used to discretize the cortical region bounding the cell, with two displacement and one rotation degree of freedom per node, consistent with the bilinear elements used for the cell interior. Surface tension effects were modeled by imposing an initial state of uniform biaxial stress on the shell elements (see Modeling: The neutrophil).

The updated Lagrangian Hencky kinematic formulation was used to analyze the cellular response in both the indentation and capillary flow models, and the constraint function method was used to satisfy the nonlinear contact conditions (K. J. Bathe, 1996). Temporal discretization of the finite element equations used the Newmark method for the indentation simulations and the Euler backward method for the fluid-solid interaction (cell-capillary) simulations.

Three-node triangular axisymmetric elements were used for spatial discretization of the plasma. The elements interpolate pressure and velocities linearly and use an additional bubble function for the velocities. Both the fluid and solid elements satisfy the inf-sup (infimum-supremum) or Babuska-Brezzi condition for stability and optimality in nearly or exactly incompressible analysis (Brezzi and Fortin, 1991).

Numerical solution of the governing solid and fluid equations of the capillary model required the use of the fluid-solid interaction analysis capabilities of ADINA (Rugonyi and K. J. Bathe, 2001). The solution obtained was fully coupled in the sense that the kinematical conditions of displacement, velocity, and acceleration continuity across the no-slip fluid-solid (cell-plasma) interface were satisfied at all times during the analysis, and the conditions of shear stress continuity and normal stress discontinuity due to surface tension effects presented in the previous section.

Computations were performed on Silicon Graphics Incorporated Origin and Octane workstations on single 300-MHz CPUs. Memory requirements were minimal because the models were two-dimensional. CPU times varied depending upon the model type and the temporal and spatial discretizations used, but generally were between 10-15 min and 1.5-2 h for the indentation and capillary flow models, respectively. We note that convergence difficulties were encountered during the final, exit phase of the capillary flow simulations due to the large acceleration of the cell during that time.

Finite element solution validation

Validation of the finite element results consisted of two parts. First, mesh and time-step refinements were performed to ensure convergence of the results to the solution of the underlying continuum models (see Modeling). It was verified that the solution variables of interest (indentation force and cell transit time for the indentation and capillary flow models, respectively) changed by less than 5% when the spatial density of nodes was doubled in the solid and fluid models and when the time-step size was halved. Second, to further validate the methods used in the neutrophil-capillary analysis, we simulated a problem similar to one previously analyzed by Tran-son-tay et al. (1994). In that study, the authors simulated the flow of a Newtonian droplet with surface tension through a converging tapered tube in an effort to model the flow of a neutrophil through a tapered glass capillary tube. In what follows, we present a brief overview of the tapered tube model along with a results comparison, and refer the reader to Tran-son-tay et al. (1994) for details of the original study.

Tapered tube model

The original tapered tube model of Tran-son-tay et al. consists of a highly viscous Newtonian droplet of viscosity, µ, bounded by constant surface tension, gamma , flowing through an axisymmetric tube of constant converging half-angle, alpha , under a constant driving pressure drop, Delta P. The original droplet diameter is denoted D0 and the deformed axial end-to-end length of the droplet L. In their model, the external fluid is assumed to be inviscid, resulting in a uniform pressure applied to the droplet at its upstream and downstream ends and zero shear stress acting along its conical section (within the gap). Lastly, a time-varying normal pressure is applied along the conical section of the droplet to satisfy axial equilibrium, and the normal component of the droplet velocity is constrained to be zero there to satisfy the geometric constraint imposed by the wall. The axisymmetric creeping-flow equations are solved numerically in time employing the methods used earlier by Yeung and Evans (1989) to study neutrophil aspiration into glass micropipettes.

In the present study, we simulate these conditions employing the same methods as those used for the capillary flow model (see Capillary Transit,) changing the geometry to be that of the tapered tube. The gap thickness and external fluid viscosity are chosen such that the retarding shear stress on the droplet is negligible and the pressure drop applied across the ends of the tapered tube is concentrated across the droplet. The ratio of external to internal viscosity was µext/µ = 10-6 and the dimensionless gap thickness was delta /D0 = 0.015. We simulate the droplet's Newtonian constitutive response by choosing the elastic shear modulus of the Maxwell droplet to be 1000 times the driving pressure drop (G* 1), ensuring that elastic deformations are negligible. Though the zero wall shear-stress assumption is satisfied along the conical section of the droplet due to the low viscosity of the external fluid, no assumption is made as to the form of the wall (contact) normal stress distribution acting on the droplet. The relevant dimensionless model parameters are time, t* = tDelta P/µ, surface tension Gamma * = gamma /(Delta PD0), and droplet end-to-end length, L/D0.

Tapered tube results

Three model conditions (Gamma * = 0.015, alpha  = 3°; Gamma * = 0.015, alpha  = 6°; and Gamma * = 0.15, alpha  = 3°) were analyzed in the original study to illustrate the effects of taper angle and surface tension on entry rate, and each is simulated here for validation. The entry rate of the droplet decreases sharply with increasing taper angle from 3° to 6°, while Gamma * is held constant at 0.015 (Fig. 4 A), the effects being significant even for small deformations (L/D0 right-arrow 1). Increasing surface tension by a factor of 10 from Gamma * = 0.015 to 0.15 while alpha  is held constant at 3° (Fig. 4 B) is seen to have the opposite effect, namely to decrease entry rate (due to the reduction in effective driving pressure caused by the different radii of curvature at the leading and trailing ends). Differences are <5% even at the time of maximum deformation (t* = 2.7) and attributable to differences in the underlying mathematical models and the numerical methods used to solve them.



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FIGURE 4   Comparison between the tapered tube results of Tran-Son-Tay et al. (1994) and the present study illustrating (A) the effects of taper angle on droplet entry rate (Gamma * = 0.015; alpha  = 3°, 6°) and (B) the effects of surface tension on entry rate (alpha  = 3°; Gamma * = 0.015, 0.15).


    RESULTS
TOP
ABSTRACT
INTRODUCTION
MODELING
NUMERICAL SOLUTION OF THE...
RESULTS
DISCUSSION
APPENDIX
REFERENCES

Neutrophil indentation

The objective of the indentation simulations was to determine appropriate Maxwell model parameter values for the neutrophil in its nonstimulated state and after stimulation with two concentrations of fMLP that induce neutrophil activation. Instantaneous finite-element mesh configurations of the deformed, nonstimulated cell model are shown superimposed upon the original, undeformed mesh at two times: when the cell is maximally indented to 1.5 µm (0.294 s) (Fig. 5 A) and at the instant when the indenter has returned to its original, zero displacement position (0.588 s) (Fig. 5 B). Note that the cell remains significantly deformed even after the indenter has returned to its original position. The reasons for this are twofold. First, the viscoelastic relaxation time scale of the cell [tau relax ~ (µcell/Gcell) = 0.167 s] is on the order of the indentation time scale [tau indent ~ (Delta max/<A><AC>&Dgr;</AC><AC>˙</AC></A>) = 0.294 s], so that much of the work done by the indenter is dissipated in the cell during indentation, rather than elastically stored and transmitted back to the indenter during retraction. Second, the cell-recovery time scale [tau recovery ~ (µcellRcell/gamma ) = 3.97 s] is long compared to the indentation time scale, meaning that the surface tension force is too small to restore the cell to its spherical shape in the time it takes the indenter to retract.



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FIGURE 5   Superimposed depictions of the indentation model (nonstimulated cell) in its original and two deformed configurations, corresponding to (A) the time of maximum indentation (t = 0.294 s) and (B) the instant when the indenter returns to its original, zero-displacement position after indentation (t = 0.588 s).

The Maxwell model parameters, Gcell and µcell, determined by the cell indentation simulations are listed in Table 1 for each level of fMLP stimulation, and the force-displacement curves computed with each model are compared with the experimental results in Fig. 6. The indentation force-displacement relationship is nearly linear in all cases, and significant hysteresis is exhibited as the indenter is withdrawn. The effects of fMLP on cellular viscosity and shear modulus are significant (Table 1), purportedly due to increased actin assembly (Worthen et al., 1989). Viscosity varies from a low of 30.8 Pa·s in the nonstimulated case to 225 Pa·s in the maximally stimulated case, while the cell's shear modulus increases from 185 to 1350 Pa.


                              
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TABLE 1   Nonstimulated and fMLP-stimulated neutrophil model parameters determined from indentation



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FIGURE 6   Maxwell model fit to mean experimental indentation data for nonstimulated, 1 × 10-9 M fMLP-stimulated, and 1 × 10-6 M fMLP-stimulated neutrophils incubated at room temperature. Symbols, experimental data from Worthen et al. (1989); solid lines, finite element model results. Mean experimental indentation force-displacement slopes (or stiffnesses) and best-fit Maxwell model parameter values are listed in Table 1.

Capillary flow

The indentation results can be used with the modeling data presented (see Modeling) to define physiologically relevant dimensional and dimensionless parameter ranges for the capillary flow simulations. Considering that Rmin ranged between 2.5 and 3 µm, a varied between about 8 and 180 µm, Delta P ranged from 20 to 80 Pa, gamma  was equal to 31 pN/µm, G ranged from 185 to 1350 Pa, and Rcell was assumed to be 4 µm, the following dimensionless parameter ranges of interest are determined
<AR><R><C>2≤G*≤70,</C></R><R><C>0.625≤R*≤0.75,</C></R><R><C>2≤a*≤45,</C></R><R><C>0.13≤&ggr;*≤0.62.</C></R></AR> (20)
In carrying out the simulations, gamma * was fixed in the narrower range of 0.26 < gamma * < 0.31 (corresponding to the physiological values of Delta P = 40 Pa, gamma  = 31 pN/µm, and Rmin = 2.5-3 µm), To reduce the total parameter space spanned. This modeling assumption is justified by the following observations. First, we found that the effects of gamma * on the cell's transit time were significant only for the smallest a* and R* due to the relatively mild deformations incurred in this study (for example, in the extreme constriction case of R* = 0.625, increasing gamma * by more than ten-fold from 0.04 to 0.62 increased the transit time by 22% for a* = 2.19, whereas it increased the transit time by only 7% for a* = 44.2). Second, we found that the effects of gamma * on reducing the effective driving pressure drop cannot be accounted for by the simple expression, Delta Peff = Delta P - Delta Pcrit = Delta P - 2gamma [(1/Rmin- (1/Rcell)], applicable to micropipette aspiration (Evans and Yeung, 1989). The reason is that during flow into the capillary constrictions analyzed here, the radii of curvature of the leading and trailing end caps of the cell change continuously, whereas, in micropipette aspiration, they remain approximately constant (particularly the leading radius of curvature interior to the pipette) for the duration of flow. For these reasons, we chose to investigate the dependence of T* on a*, R*, and G* for the physiologically relevant range of gamma * specified above, as a compromise between practicality (limiting the number of simulations required) and the lack of a simple expression to account for the effects of surface tension on the characteristic time scale µcell/Delta P. We also note that the lower bound on R* is decreased to 0.50 only for the viscous deformation-dominated limit G* 1, to broaden the scope of the study; the minimum value of G* had to be increased from 2 to 8 due to convergence difficulties; and that µcell does not appear in the independent dimensionless groups because it is only used to scale T.

Typical deformed finite-element mesh configurations of two different cell-capillary models are depicted in Fig. 7. In each case G* = 80 and R* = 0.625. The models differ only in that a* = 2.19 and 44.2 in Fig. 7 A and B respectively. Although the entire capillary constriction is visible in Fig. 7 A due to the small constriction radius of curvature, only a small region of the constriction is visible in Fig. 7 B due to its large radius of curvature. In each model, the portions of the cell that are internal and external to the capillary constriction are nearly spherical, as expected due to the effects of surface tension.



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FIGURE 7   Typical deformed mesh configurations of the cell (G* = 80) entering two model capillary constrictions with the same minimum constriction radii (R* = 0.625) but different constriction radii of curvature, corresponding to (A) a* = 2.19 and (B) a* = 44.2. The cell is moving from left to right.

For each value of R* and a* analyzed, T* exhibits a clear limiting behavior with respect to G* (Fig. 8 A, B, and C). In each case, T* reaches a plateau for large G*, the transition occurring in the vicinity of Gapprox  20. The limiting behavior represents the parameter range in which the shear modulus of the cell is significantly greater than the driving pressure drop, so that the Maxwell model behaves essentially as a purely Newtonian fluid (i.e., elastic deformation during transit is negligible compared to total viscous deformation). For G* < 20, however, elastic deformation of the cell becomes significant and the reduction in transit time grows sharply as G* right-arrow 0, particularly in the mildest constriction case (Fig. 8 A, R* = 0.75). This result is intuitive because in the limit of small G* and R* approaching one, the cell will flow through the constriction purely elastically, without any viscous deformation at all. Although T* depends strongly on R*, it also exhibits a significant dependence on a* for all values of R* simulated (Fig. 8, A, B, and C). Additionally, the dependence of T* on a* appears to be independent of G* in the viscous deformation-dominated limit G* 1. 



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FIGURE 8   Dimensionless cell transit time, T* triple-bond  [TDelta pcell], versus dimensionless cell elastic shear modulus, G* triple-bond  [Gcell/Delta p], for dimensionless minimum constriction radii, (A) R* triple-bond  (Rmin/Rcell) = 0.75, (B) R* = 0.6875, and (C) R* = 0.625, and three constriction radii of curvature, a* triple-bond  (a/Rcell). Comparison between numerical results (symbols) and Eq. 21 (curves).

Within the approximate range of parameter values specified by Eq. 20, the following dimensionless relationship was found to fit the data (R2 = 0.997) (Fig. 8 A, B, and C)
T*=0.58(a*)<SUP>−0.50</SUP> [(R*)<SUP>−5.0</SUP>−1] (21)

×<FENCE><FR><NU>(a*)<SUP>−0.50</SUP>G*</NU><DE>40(R*)<SUP>10</SUP>+(a*)<SUP>−0.50</SUP>G*</DE></FR></FENCE>.
In light of the observation that T* becomes independent of G* for G* 1, we now focus on this (Newtonian) regime, in which the relation for T* (Eq. 21) simplifies to (R2 = 0.997),
T*=0.58(a*)<SUP>−0.50</SUP> [(R*)<SUP>−5.0</SUP>−1]. (22)
Figure 9 illustrates the computed dependence of T* on R* and a*, where each simulation data point has been obtained from the maximum G* data point shown in Fig. 8, and, as noted earlier, additional data have been generated to represent the case of R* = 0.50. 



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FIGURE 9   The dependence of dimensionless transit time, T*, on dimensionless constriction radius of curvature, a*, and minimum constriction radius, R*, for the viscous deformation dominant regime (G* 1). Data points are from the viscous limit simulations (G* = 80) and lines are produced from Eq. 22.

Though the transit time expressions (Eqs. 21 and 22) fit the simulation data within the ranges of the dimensionless parameters given in Eq. 20, in the limit as a* right-arrow 0, corresponding to a "sudden contraction" capillary geometry, Eqs. 21 and 22 suggest that T* increases without bound, a result that is clearly in error. T* must exhibit a limiting behavior well before the singular limit of a* = 0. Although the precise value of a* at which this transition takes place is not currently known, scaling arguments would point to a value on the order of one, when the constriction radius of curvature is equal to the cellular radius. This result is confirmed by the agreement between the analytical transit time relationship derived by Huang et al. for the flow of a Newtonian droplet into a micropipette and Eq. 22 for a* = 1 shown in Fig. 10. Note that, in Fig. 10, we compare T* = TDelta Pcell of Eq. 22, which is strictly only valid for 0.26 < gamma * < 0.31, with T*pipette = TDelta Peffcell of the micropipette aspiration model, which, as mentioned earlier, analytically accounts for the effects of gamma  on the transit (or aspiration) time by defining an effective driving pressure drop, Delta Peff triple-bond  Delta P - 2gamma [(1/Rmin- (1/Rcell)] (Yeung and Evans, 1989). This leads us to further observe that, for the micropipette limit, the effect of gamma  on T is explicitly known, and that there exists a critical pressure drop, Delta Pcrit = 2gamma [(1/Rmin- (1/Rcell)], below which T becomes infinite. Although a similar critical pressure drop must exist for the capillary model analyzed here, it is complicated by the different geometry and cannot be described by such a simple algebraic expression. We can say, however, that the critical pressure drop in our gradual entrance geometry will be less than the corresponding value in a micropipette, because the external radius of curvature will be <= Rcell.



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FIGURE 10   Comparison between the Newtonian limit (G* 1) transit time expression of this study (Eq. 22) for a* = 1 and the micropipette aspiration time expression for a Newtonian droplet with surface tension (Eq. 41 from Huang et al., 2001), indicates that the capillary model transit time expressions presented in this study lose their dependence on a* when a~<  1.


    DISCUSSION
TOP
ABSTRACT
INTRODUCTION
MODELING
NUMERICAL SOLUTION OF THE...
RESULTS
DISCUSSION
APPENDIX
REFERENCES

In this study, we analyze neutrophil transit through individual capillary segments in the pulmonary microvascular network and present several new results. First, we have demonstrated that a Maxwell model with constant bounding surface tension is capable of reproducing the mechanical behavior of neutrophils not only during micropipette aspiration (Dong et al., 1988; Skalak et al., 1990), but also during experiments of neutrophil indentation. Second, the magnitude of the changes in cellular mechanical properties resulting from various levels of fMLP-stimulation has been estimated using the model. Finally, in an independent series of simulations, we have used the model to examine the importance of radius of curvature at the entrance to a capillary segment on neutrophil transit time and found it to be a critical factor. Simple algebraic expressions were derived that fit the numerical predictions over a wide range of parameter values. Future studies of neutrophil transit will need to take entrance geometry into account if accurate estimates are to be made. Taken together, these results suggest that a Maxwell model is capable of capturing neutrophil mechanics under a variety of deformations, and that such models can be useful in calculating capillary transit times provided capillary geometry is adequately described.

The neutrophil model

Comparison to previous studies

Nonstimulated neutrophil response has been studied intensively during the past two decades (Schmid-Schönbein et al., 1981; Dong et al., 1988; Evans and Yeung, 1989; Needham and Hochmuth, 1990; Zahalak et al., 1990; Lipowsky et al., 1991; Skalak et al, 1990; Tran-Son-Tay et al., 1991; Warnke and Skalak, 1992; Tsai et al., 1993; Zhelev et al., 1994; Drury and Dembo, 1999) primarily using micropipette aspiration and recovery techniques (incurring small and large deformations, imposing high and low rates of deformation, and using small and large pipettes) in conjunction with analytical and numerical methods to determine appropriate neutrophil models and their parameter values. Although the range in viscosities found in small deformation studies (Table 2) is quite significant (6.5 to 89 Pa·s), the nonstimulated cellular viscosity found in the present study using indentation (30.8 Pa·s) is seen to be in good agreement. Studies using the Maxwell model with cortical tension have reported nonstimulated cellular shear moduli as low as 28.5 Pa (Dong et al., 1988) for very small deformations and as high as 250 Pa (Dong and Skalak, 1992) for larger deformations (Rmin/Rcell = 0.5), bracketing our result of 185 Pa. Zahalak et al., (1990) studied the mechanical response of nonstimulated and fMLP-stimulated neutrophils using a finite element model of the same experimental indentation data that this study is based on, though they neglected viscous effects in treating the cells as purely elastic. They found that treatment with 10-8 M fMLP resulted in an increase in cellular shear modulus of almost a factor of four, from 118 to 448 Pa, in reasonable agreement with the results of the present study (Table 1). Only one study with which we are familiar quantified the effects of fMLP both on leukocyte viscosity and shear modulus (Lipowsky et al., 1991), finding that topical application (10-7 M) of the chemoattractant resulted in a 15-fold increase in cellular viscosity and a 5.6-fold increase in shear modulus over nonstimulated cell values. In terms of the shear modulus, this result is consistent with the increases by factors of 3.4 for 10-9 M and 7.3 for 10-6 M found in the present study.


                              
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TABLE 2   Published neutrophil viscosity values for small deformation, nonstimulated neutrophil studies performed at room temperature

Limitations of the model

Any model attempting to mimic the structural properties of the cell using a homogeneous, isotropic continuum description is open to criticism. Homogeneous representations fail to explicitly account for the detailed microstructure of the cell, and certainly neglect its capability for biological remodeling in response to a variety of factors. Despite their limitations, however, homogeneous, continuum descriptions have proved useful as a means of simulating cellular deformations under forcing, perhaps surprisingly so in view of the simplifications that they imply. To explain the underlying basis for a cell's mechanical properties, however, clearly requires a model that takes into account explicitly the microstructure and the biology.

Even within the constraints of a continuum model, however, there are further limitations in the development of a realistic model. Due to the absence of quantitative experimental data on the degree of hysteresis exhibited by neutrophils in indentation and the effects of fMLP on cortical tension, we needed to assume that the time constant of the cell's response in indentation (µcell/Gcell) remained constant and that the cortical tension was unaffected by the chemoattractant. These assumptions are in contrast to the observations that hysteresis actually increases with fMLP concentration (Worthen et al., 1989) and that fMLP induces F-actin formation beneath the plasma membrane (Saito et al., 2002), whereas cytochalasin-D disrupts F-actin formation and also decreases cortical tension in neutrophils by up to 60% (Ting-Beall et al., 1995). Although the results of the neutrophil indentation studies are somewhat limited by these considerations, the dimensionless transit-time expressions (Eqs. 21 and 22) are independent of any specific material properties (within the constraints of the expression given in Eq. 20). In the case that the dimensionless cortical tension exceeds the maximum limit explored in this study, however, it may be noted that, in the viscous-dominated limit (G Delta P) the effect of solely increasing the cortical (surface) tension of the cell will generally be to increase the cell's transit time, because the effect of the tension is to reduce the effective pressure driving the cell through the constriction. The degree of the effect, however, will depend upon the radius of curvature of the capillary examined (the effect is larger for smaller radii of curvature).

Several recent studies have focused on modeling the highly viscous, multi-lobed nucleus as a distinct entity within the neutrophil, with different mechanical properties from the less viscous cytoplasm (Tran-Son-Tay et al., 1998; Kan et al., 1998). This contrasts with the more traditional approach of treating the cell inter