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1 Department of Chemical Engineering and Materials Science and 2 Department of Biomedical Engineering, University of California, Irvine, California 92697-2575
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ABSTRACT |
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Theoretical mass transfer rates and concentration distributions were determined for transient diffusion of free nitric oxide (NO) generated in vivo from vascular endothelial cells. Our analytical framework is typical of the bronchial circulation in the human pulmonary system but is applicable to the microvascular circulation in general. We characterized mass transfer rates in terms of the fractional mass flux across a boundary relative to the total endothelial NO production rate. NO concentration in the tissue surrounding blood vessels was expressed in terms of fractional soluble guanylate cyclase (sGC) activity. Our results suggest that endothelium-derived free NO is capable of vascular smooth muscle dilation despite its rapid consumption by hemoglobin in blood. An optimal blood vessel radius of 20 µm was estimated for NO signaling. We hypothesize intermittent generation of endothelial NO as a possible mechanism for sGC activation in vascular smooth muscle. This mechanism enhances the efficacy of NO-modulated vascular smooth muscle dilation while minimizing NO losses to blood and surrounding tissue.
diffusion; mass transfer; endothelium; smooth muscle dilation
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INTRODUCTION |
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ENDOTHELIUM-DERIVED relaxing factor (EDRF), a vasodilator released by arterial endothelial cells, has been identified as either free nitric oxide (NO) or a closely related compound (19). The role of NO as a ubiquitous intercellular messenger is well documented (1, 10, 52). NO is generated in vivo by the enzymatic conversion of L-arginine (L-Arg) to L-citrulline, which is catalyzed by nitric oxide synthase (NOS). The constitutive membrane-bound isoform, endothelial NOS (eNOS), produces NO in vascular endothelial cells, resulting in the dilation of blood vessels. NO activates the soluble isoform of the allosteric enzyme guanylate cyclase (sGC), which catalyzes the conversion of guanosine 5'-triphosphate to cGMP. The subsequent rise in cGMP concentration ultimately results in the dilation of smooth muscle. sGC activity is partially characterized in terms of its apparent Michaelis constant (km) value [the equilibrium NO concentration ([NO]) at which sGC is 50% activated]. Stone and Marletta (44) reported an upper limit of 250 nM for km. However, recent data suggest that km is most likely an order of magnitude lower (~23 nM; Refs. 9, 55). If km is on the order of 23 nM, previous estimates for the effective distance over which NO can influence the activation of sGC (49) need to be reevaluated.
Vaughn et al. (48, 49) demonstrated that the theoretical "effective diffusion distance" (defined as the distance away from its production source within which [NO] exceeds the km of sGC) is strongly dependent on the geometry of its source. Their results suggest that vascular endothelial cells cannot produce free NO at high enough levels to activate sGC in adjacent smooth muscle cells without the protection of an additional cofactor because of the consumption of NO by oxyhemoglobin (Hb) in blood. Their analysis considered a semi-infinite system at steady state, with km = 250 nM.
Expired human breath contains 4-100 ppb NO (14, 42, 43, 50). Exhaled NO has been proposed as a noninvasive biomarker for disease states characterized by inflammation, such as bronchial asthma and allergies (41-43). The potential of endothelium-derived NO to contribute significantly to the levels appearing in expired breath remains to be investigated.
EDRF is hypothesized to be either free NO or NO bound to a protective cofactor (13, 19). On the basis of in vitro data, the half-life of NO within red blood cells is ~1 µs (11, 17, 29). Thus the rapid reaction of NO with Hb present in erythrocytes suggests that other physical or chemical factors are required to activate sGC in smooth muscle cells. If free endothelium-derived NO is EDRF, how does it escape the abyss of Hb in blood vessels to perform its physiological function? One proposed hypothesis is that an erythrocyte-free zone (EFZ) is formed because of the tendency of erythrocytes to migrate away from the blood vessel wall under flow conditions. The EFZ provides a diffusion barrier between erythrocytes and the inner blood vessel wall (5, 29, 30, 48, 49). Recent studies suggest that erythrocytes regulate NO consumption via Hb by means of an intrinsic diffusion barrier at their cell membranes (18, 47). In either case, NO uptake by Hb is limited by diffusion resistance.
We present here a simplified analytical model for small NO-producing blood vessels within the human bronchial circulation, which are bounded by the airway lumen gas space. We consider both steady-state and transient behavior for a finite geometry, predict NO concentration profiles and diffusion rates at in vivo conditions, and hypothesize possible mechanisms for free NO-modulated smooth muscle dilation. Our goal is to identify potential pathways that may govern the fate and physiological activity of endothelium-derived NO in the human bronchial circulation.
Glossary
| C | NO concentration (nM) |
| Ci | C(t, r = Ri) = NO concentration at surface; i = 1, 2, 3 (nM) |
| Ci,ss | Steady-state concentration at surface; i = 1, 2, 3 (nM) |
C![]() |
Initial, steady-state NO concentration distribution (nM) |
C |
Bulk fluid phase NO concentration (nM) |
| C1,ss | C(t![]() , y = 1) = steady-state NO
concentration at surface; i = 1 (nM)
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| C2,ss | C(t![]() , y2) = steady-state NO
concentration at surface; i = 2 (nM)
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C'1 ,ss |
C/ y|![]() |
| C'2+,ss | C/ y|![]() (g'12 g12f'12/f12)Q1,ss Q2,ss
|
| D | Diffusivity of NO within tissue (cm2/s or µm2/s) |
| F1(y) | Known function of y and input parameters; i = 1, 2 |
| fij | fi(yj) |
| f'j(y) | dfj(y)/dy |
| f'ij | f'i(yj) |
| gi(y) | Known function of y and input parameters; i = 1, 2 |
| gij | gi(yj) |
| g'j(y) | dgj(y)/dy |
| g'ij | g'i(yj) |
| hi | Mass transfer coefficient at boundary; i = 1, 2, 3 (µm/s) |
| h3 | Mass transfer coefficient between adventitial boundary and external medium (µm/s) |
| H3 | h3R1/D = dimensionless mass transfer coefficient |
| Ji | Molar diffusion flux at boundary i
(µM · µm · s 1)
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| k1 | First-order rate constant for NO consumption in pulmonary tissue
(s 1)
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| km | Apparent Michaelis constant for sGC with NO as substrate (nM) |
| Km | Modified Bessel function of the second kind of order m |
qi( ) |
[Qi( ) Q![]() QMax = dimensionless endothelial NO production rate; i = 1, 2
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q![]() |
(Q![]() Q![]() QMax = maximum
dimensionless NO production rate; i = 1, 2
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Qi( ) |
NO,i(t)R1/D = scaled endothelial NO production rate; i = 1, 2 (nM)
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Q![]() |
![]() ![]() |
Q![]() |
![]() ![]() |
| r | Radial space coordinate (µm) |
| reff | Effective diffusion radius (µm) |
| R0 | Radius of hypothetical red blood cell core (µm) |
| R1 | Blood vessel radius at inner membrane surface (µm) |
| R2 | Blood vessel radius at outer membrane surface (µm) |
| R3 | Radial distance from blood vessel center to outer adventitial boundary (µm) |
| RNO(C) | NO consumption rate in pulmonary tissue (nM/s) = k1C [RNO(C) = 0 in EFZ] |
NO,i(t) |
Endothelial NO production rate per unit surface; i = 1, 2 (µM · µm · s 1)
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![]() ![]() |
Basal endothelial NO production rate per unit surface;
i = 1, 2 (µM · µm · s 1)
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![]() ![]() |
Maximum endothelial NO production rate per unit surface;
i = 1, 2 (µM · µm · s 1)
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| [species] | Concentration of species in tissue; species = NO, O2 (nM) |
| t | Time (s) |
| V | Equivalent sGC activity level (cGMP formation rate) at steady state (nM/s) |
| V/Vmax | Equivalent relative sGC activity level at steady state, V/VMax |
| VMax | Maximum possible cGMP formation rate (nM/s) |
| xj | Input parameter j for linear regression analysis |
| y | r/R1 = dimensionless radial space coordinate (relative to blood vessel radius) |
| yeff | reff/R1 = dimensionless effective diffusion radius |
j ( i) |
Sensitivity coefficient (of i to input
j) for linear regression analysis
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Equilibrium distribution coefficient between adventitial region and external medium |
C |
Driving force term (product of and C ) (nM)
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Ci |
Concentration driving force for mass transfer at boundary; i = 1, 2 (nM) |
Q( ) |
Q1( ) + Q2( ) Q![]() Q![]() |
QMax |
Q![]() ![]() Q![]() Q![]() |
i |
Fractional flux at surface; i = 1, 2, 3 |
2 |
Theile modulus = k1R![]() |
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Dt/R1 = dimensionless time |
| T | Time duration of simultaneous pulse changes in NO production (s) |
| T1 | On-time for a continuous (square wave) pulse in NO production (s) |
| T2 | Off-time for a continuous (square wave) pulse in NO production (s) |
Subscripts and Superscripts
| 0 | Initial or basal condition |
| i | Index corresponding to r = R1 (i = 1), r = R2 (i = 2), and r = R3 (i = 3) or general integer |
| i+ | Evaluation at the outer surface of a boundary |
i |
Evaluation at the inner surface of a boundary |
| j | Index corresponding to general integer; j = 1, 2, 3 |
| Max | Maximum |
| ss | Steady state |
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METHODS OF ANALYSIS |
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Endothelial NO production near an arteriole.
A typical geometry for a blood vessel of the bronchial circulation is
depicted in Fig. 1, with the radial
coordinate denoted by r. Erythrocyte(s) are assumed to be
clustered at the center of the blood vessel (r < R0). R1 and
R0 denote the radii of the blood vessel and its
hypothetical red blood cell (RBC) core, respectively, with the region
R0 < r < R1 comprising an EFZ.
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NO,1 and
NO,2, respectively
(49). Because the substrate, L-Arg, is a
ubiquitous amino acid, we assume that [L-Arg] > [NO].
Thus
NO,1 and
NO,2 are independent of [NO]. Recent experimental
data suggest that micromolar levels of NO reversibly inhibit NOS
(39). However, these levels are at least two orders of
magnitude higher than those considered here.
Beyond the endothelium (R3 > r > R2) lies adjacent
(adventitial) tissue. Vascular smooth muscle cells (~1-8 µm
diameter) lie adjacent to the endothelium of small arterioles
(R1
5-100 µm). The thickness of this
smooth muscle region is estimated as ~10-20% of the blood
vessel radius, R1 (4, 48, 49).
Governing equation and boundary conditions.
We assume that, over limited regions of the blood vessel circumference,
angular and axial diffusion rates are small compared with the radial
diffusion rate. Hence, the one-dimensional diffusion equation in
cylindrical coordinates applies to each region
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(1) |
5
cm2/s) (25, 26, 48).
The most active scavengers of NO within pulmonary tissue are
most likely O


R0, C(t, r = R0) = 0]. We assume first-order NO
consumption within the pulmonary tissue surrounding the blood vessel,
RNO(C) = k1C, where
k1 is the first-order rate constant with respect to NO. Equation 1 can be expressed in terms of
dimensionless length, y = r/R1, and time,
= Dt/R
2 = k1R
NO,i(t), contributes to the
molar diffusion flux, Ji = (
D
C/
r)i, as expressed by the
internal boundary condition
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(2) |
denote evaluation of the molar diffusion flux,
Ji, at the outer and inner membrane surfaces,
respectively (i.e., r = R



NO,i(t), in Eq. 2
is zero, the concentration gradient is continuous across the boundary.
The relationships implied by Eq. 2 are based on our
assumption that the cell membrane is infinitesimally thin (see Fig.
1B).
Non-NO-producing adventitial tissue lies external to the cell
membrane boundaries. We assume that the outer adventitial
boundary lies adjacent to a fluid (e.g., gas or blood) and impose the
boundary condition
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(3) |
is an equilibrium distribution coefficient.
C
is the bulk fluid concentration (assumed
constant), h3 is the mass transfer coefficient
between the adventitial boundary (2) and the external
medium (H3 = h3R1/D in
dimensionless form), and [C3
C
] represents a driving force term. The subscript
3
implies evaluation at the inner surface of the outer adventitial
boundary (r = R
is the
air/tissue equilibrium partition coefficient (35a), and
C
is the bulk gas phase concentration.
Fractional mass transfer flux.
We define the fractional flux,
i, as the mass
flux across a boundary i relative to the total endothelial
NO production rate. For a cylindrically shaped blood vessel, where
NO,i is uniform over each membrane
surface (i = 1, 2)
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(4) |
NO,iR1/D
(i = 1, 2) denote the scaled production rates.
Equation 4 assumes that Ji is
directed normal to surface i and away from the endothelial
cell. If the diffusive flux is directed into the endothelial cell,
i < 0. There is no accumulation of NO within
the endothelial cell at steady state; therefore
1
+
2+ = 0. At the outer boundary of the adventitial
region (i = 3
and r = R
3
from Eq. 4 is valid over a limited region of the blood vessel circumference, where the angular flux contribution is
negligible. Henceforth, we denote
1
,
2+, and
3
as
1,
2, and
3 or
i
(i = 1, 2, 3), respectively.
Steady-state analysis.
When both the external conditions and the NO production rates remain
unchanged for a long time, the time derivative in Eq. 1
vanishes and the steady-state solution can be derived by integration of
the resulting ordinary differential equation (see
APPENDIX). Although this yields a complex system of
algebraic expressions, values of
i are
readily computed from Eq. 4.
i (i = 1, 2, 3) values depend on seven specified parameters
(k1, y0 = R0/R1,
y2 = R2/R1,
y3 = R3/R1, R1,
C
, and
h3) but are independent of the NO production rates. Also, at steady state, there is no accumulation of NO in the
endothelium and
1 +
2 = 1 (i.e., the total flux entering both blood and surrounding tissue equals
the NO production rate within the endothelium). Thus only
2 and
3 need to be considered in this
analysis, and we treat
i (i = 2, 3) as output parameters dependent on the specified (input)
parameters, which are treated as independent variables. The mean values
and ranges of the input parameters are summarized in Table
1. We estimated EFZ thickness,
R1
R0, and
representative probability distributions on the basis of experimental
measurements of vascular hematocrit as a function of blood vessel
radius at typical blood velocities (4, 27, 48, 49). Thus
these estimates account for the Fahreus effect. We assumed NO
production rates of
NO,1,ss =
NO,2,ss = 26.5 µM · µm · s
1 for this analysis, on
the basis of published data (33, 48). Because, at steady
state,
2 and
3 are dependent only on the ratio
NO,1,ss/
NO,2,ss and
independent of the magnitude of NO production, we did not study
NO,1,ss and
NO,2,ss as input parameters.
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i (i = 2, 3) on
the specified parameters is assessed by linear regression analysis,
with input parameter values selected by Latin hypercube sampling (LHS)
(34). Thus we correlate
i to the
form
i = 
j(
i)xj, where xj and
j(
i) denote the
input parameters and sensitivity coefficients of the output,
i, respectively. The purpose of this
analysis is to identify trends, which represent the dependence of
i on the input parameter values specified in
the simulations. P values, which correspond to the
probabilities that either
i is independent of
a particular xj, provide a quantitative
assessment of the significance of the dependence of
i on each input parameter. Thus we calculate
rigorous results with our relatively complex mathematical model and
attempt to identify the most important input parameters with
regression analysis.
Transient analysis. The transient solution of Eq. 1 is obtained by the method of separation of variables, which leads to an infinite series of Bessel functions in the radial space coordinate (7, 15, 38). The solution is expressed as the sum of steady-state and transient parts (see APPENDIX).
The initial steady-state concentration distribution corresponds to the basal NO production rates,

NO,i from




NO,i(t) are assumed to occur
simultaneously for i = 1 and i = 2. Maximum NO production rates are estimated as




1, based on published data
(33, 48). Basal NO production rates are estimated as the
steady-state levels required to maintain [NO]
0.2 nM (1% sGC
activation) within the vascular smooth muscle (



1). The transient solution
is expressed in terms of the dimensionless NO production rates,
qi(
) = [
NO,i(t)










)
satisfy q

NO,i(t) from 



NO,i(t) from








NO,i(t) values are maintained at




0.2, 4, 23, and
100 nM, respectively.
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RESULTS |
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Steady-state analysis.
Table 2 summarizes the results of LHS
linear regression analysis in terms of the P values and
regression coefficients, which are indices of the significance and
sensitivity, respectively, with respect to the corresponding input
parameters. Both
2 and
3 are more
sensitive to y0, y2, and
y3 than the other parameters, as demonstrated by
their low P values and high regression coefficients (see
Table 2);
2 is weakly dependent on both
R1 and k1. Unlike
2,
3 decreases with
k1 and is not significantly dependent on R1.
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2 on y0,
y2, and y3 with
R1 = 10 µm is depicted in Fig.
2. The results shown in Fig. 2 are
consistent with the regression coefficients shown in Table 2
(
2 increases with y2, decreases
with y0, and decreases with
y3 at fixed y0). Although
2 increases with both R1 and
k1 (see Table 2), this subtle dependence is not
depicted in Fig. 2. The dependence of
3 on the same
input parameters (see Fig. 3) shows
behavior analogous to that of
2. As a result of chemical
consumption,
3 <
2 for fixed values of the input parameters (compare Figs. 2 and 3).
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3 and
2 varied between
0.01 and 0.9 (data simulations not shown). However, as depicted in
Figs. 2 and 3, an upper limit of 0.4-0.6 for
3 is
probably more realistic under most scenarios of physiological interest.
For an arteriole, which is located very close to the airway lumen, this
suggests that, at most, 40-60% of the produced NO will reach the
air space. We emphasize that this may still be negligible compared
with the contributions of other NO-producing tissue, such as the
bronchial epithelium.
The steady-state dependence of the dimensionless effective diffusion
radius, yeff = reff/R1, on the
blood vessel radius, R1, is shown in Fig.
4. In this analysis, the other input
parameters were fixed at their mean values (see Table 1).
yeff goes through a maximum of approximately
five blood vessel radii at R1 = 27 µm
(see Fig. 4). This result is consistent with previous work, which
predicts maximum effective diffusion distances at microvessel diameters
of 30-100 µm (49). We selected the nominal value, R1 = 20 µm, as the near-optimal blood
vessel radius for our transient analysis. This size is within the
observed range for blood vessels in the bronchial circulation (4,
6, 28).
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Transient analysis.
The results presented in Figs. 5-7
were computed with all input parameters set at their mean values (see
Table 1) and the airway lumen outer adventitial boundary condition,
unless otherwise indicated. We express transient NO concentration
profiles in terms of equivalent relative sGC activity level at steady
state, V/VMax. For step changes in the NO production at
R1 = 5 and 20 µm, the dependence of
V/VMax on R1 is significant (compare
Fig. 5, A and B). Figure 5 shows two
V/VMax peaks for both 0.01 and 0.1 ms (Fig. 5A;
R1 = 5 µm) and 0.1 and 1 ms (Fig.
5B; R1 = 20 µm). These peaks
correspond to the two NO sources at the inner and outer endothelial
membranes and have a "Gaussian" appearance, because at these small
times very little NO has reached the RBC core and outer adventitial boundary sinks. Within 50 ms, sGC activity levels in the vascular smooth muscle region reach 45-50% (r
6-7
µm) for R1 = 5 µm (Fig. 5A)
and 70-80% (r
24-28 µm) for
R1 = 20 µm (Fig. 5B). Because sGC activity level is dependent on


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3 is very small, but for t > 2 s
3
2. Hence, ~100 ms is required for the NO signal to
reach the outer adventitial boundary. For t < 10 ms
1 <
2 and
1 +
2 < 1, whereas for t > 2 s
1
0.83 >
2
0.16 and
1 +
2
1. This behavior results
from the combined effects of NO accumulation in the endothelium and the
finite transit time required for NO diffusion from the inner wall of
the blood vessel to the RBC core.
For a step change in NO production with R1 = 20 µm, V/VMax reaches 85-90% equivalent (steady
state) sGC activity in the vascular smooth muscle region
(r
24-28 µm) within 500 ms (Fig. 5B).
This implies that if [NO] is maintained at the levels achieved after 500 ms, sGC present in vascular smooth muscle will eventually reach
85-90% of its maximum activity. Figure
7 compares V/VMax for pulses
of the same amplitude and duration with R1 = 20 µm. For a single pulse of duration, T = 500 ms
(see Fig. 7), the same activity level is achieved. After the pulse is
"turned off" at t = 500 ms, V/VMax
drops to near-basal levels within 5 s. The transient responses for
continuous (square wave) pulses with an on-time of
T1 = 500 ms and an off-time of
T2 = 5 s were virtually identical to
those depicted in Fig. 7 for a single pulse (data simulations not
shown). Thus the results shown in Fig. 7 apply to both the single-pulse
and square-wave pulse scenarios.
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DISCUSSION |
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We have computed theoretical concentration profiles and diffusion rates around NO-producing blood vessels based on a mathematical model applicable to the human pulmonary system. Our results confirm that endothelium-derived free NO is capable of modulating vascular smooth muscle tone by activation of sGC. We hypothesize that intermittent generation of NO by eNOS may minimize losses to blood and surrounding tissue. In addition, we cannot rule out a potential contribution of eNOS to the levels of NO appearing in expired breath.
Several mathematical models have been used to study in vivo NO diffusion. The point source model (24-26, 53) assumes that the physical dimensions of each source (NO-producing cell) are small compared with the surrounding medium and sums up all contributions from multiple sources. For a single point source, which generates NO for 1-10 s, this model predicts that the "physiological sphere of influence" is ~200 µm away from its source, provided the half-life of NO within tissue is <5 s. These results led to the hypothesis that, with the exception of blood, chemical consumption of NO in most tissues is slow compared with its diffusion rates.
Vaughn et al. (48, 49) estimated effective diffusion distances for endothelial NO production in blood vessels. Their model accounted for the finite geometry of the production source. However, their analysis was limited to the steady-state behavior of a semi-infinite system, and they assumed km = 250 nM for sGC activation (44). Their results demonstrate the significant influence of blood vessel geometry and rapid binding of NO to Hb in blood. They suggested that free NO produced by vascular endothelial cell(s) cannot escape consumption by Hb and still activate sGC in vascular smooth muscle cells without the protection of an additional cofactor.
Under flow conditions, NO consumption by erythrocytes proceeds at a slower rate than that observed in the presence of free Hb (29, 47). Proposed explanations for this slower consumption rate include the diffusion resistance of the EFZ (devoid of erythrocytes) around the RBC core (30) and formation of relatively stagnant (unstirred) plasma layers around individual erythrocytes within the RBC core (32). Alternately, the possibility that a cytoskeletal network of proteins adjacent to the cell membranes of erythrocytes provides additional resistance to NO diffusion has also been proposed (18). Each of the above hypotheses suggests that an additional diffusion barrier limits consumption of NO by erythrocytes. Our model approximates this additional mass transfer resistance as an annular ring of erythrocyte-free plasma around a central RBC core.
Recent evidence suggests that km
23 nM, an
order of magnitude lower than the upper limit of 250 nM reported by
Stone and Marletta (Ref. 44; see Refs. 9,
55). On the basis of these data, we expressed NO
concentrations in terms of sGC activity level, V/VMax
(Figs. 5 and 7), and reevaluated the effective diffusion distance at
steady state (Fig. 4). The incorporation of a finite external boundary
provides additional impetus for mass transport away from the blood
vessel. Although our model assumes zero [NO] at the outer boundary of
a central RBC core, we include additional diffusion resistance
resulting from the EFZ thickness, which is consistent with current
experimental data. Our results suggest that the EFZ substantially
limits NO consumption by Hb and is potentially a major contributor to
the effectiveness of free NO as a vasodilator.
Our results suggest that the above considerations are sufficient for
free NO to perform its physiological role of vasodilation in smooth
muscle. However, although 45-80% of full sGC activity is achieved
in vascular smooth muscle at steady state, ~80% of the produced NO
diffuses into the blood vessel (see Figs. 5 and 6). The time dependence
of NO production provides a potential mechanism for enhanced
utilization of NO for smooth muscle dilation (Figs. 6 and 7). At short
times, these transient concentration profiles have Gaussian shapes as
NO accumulates within the endothelium. Under these conditions, large
concentration changes take place over a very thin region. Thus initial
NO diffusion rates, both into and away from the blood vessel, are
roughly equal and are virtually unaffected by external boundaries
(Figs. 5 and 6). Transient concentration profiles strongly depend on
the blood vessel radius, R1 (Fig. 5). For a
near-optimal blood vessel radius, R1 = 20 µm and 



1 (48),
60-80% of full sGC activation can be achieved in vascular smooth
muscle within 50-100 ms (Fig. 5B).
With R1 = 20, we compared V/VMax for step, single-pulse, and continuous (square wave) pulse changes in NO production rate. Our results show that pulsatile generation of NO via eNOS results in enhanced utilization of NO for smooth muscle dilation. Square-wave and single-pulse changes in NO production achieve sGC activity levels of amplitude equal to that of the corresponding step change case (compare Figs. 5B and 7). However, the time-weighted average NO production rate for the square-wave case is only 10% of that for the corresponding step change case. The enhanced utilization efficiency results from reduced NO losses to Hb in the blood vessel.
Analysis of in vitro data demonstrates that activation of sGC by NO is
rapid compared with its NO dissociation from sGC. Dissociation proceeds
with a half-life of ~1-2 min (3, 9, 19, 22, 23,
36). However, sGC activation is at least an order of magnitude faster. Despite limited capacity, the initial binding rate of NO to sGC
in smooth muscle is nearly as rapid as its binding rate with Hb in
blood (9, 55). Thus NO binds to sGC, present in smooth
muscle (at high [NO] with maximum NO production rate,




Temporal changes in shear stress and circumferential strain typically occur over time scales on the order of 1 s. These changes impose dynamic forces on vascular endothelial cells and impact NO production rates (35, 37). Therefore, cyclic changes in vascular stress and strain could trigger endothelial NO production according to the scenario described above. In addition, muscular contraction and relaxation have been shown to exhibit cyclic behavior with periods of <1 s. (21). Because NO remains bound to sGC for at least several seconds, a periodic NO signal would eventually force sGC into the activated state. Therefore, we hypothesize that pulsatile changes in blood flow actuate bursts of NO production over time scales on the order of seconds, which are capable of essentially full sGC activation.
At steady state, the fractional fluxes at the endothelial membranes are
dependent on the endothelial and EFZ thicknesses (see Table 2 and Fig.
2). If the distance of the blood vessel from the outer adventitial
boundary (characterized by y3 and the blood vessel radius) is large,
2 is also dependent on
k1 but essentially independent of
y3. Conversely, if the distance from the
adventitial boundary is small, this dependence reverses
(
2 is independent of k1 but
dependent on y3). At fixed
y3, as R1 increases the
distance from the outer adventitial boundary,
R3 = y3R1, also increases. Hence, the further the blood vessel is from the outer adventitial boundary, the more time a diffusing molecule of NO has to react with
scavengers in pulmonary tissue. As R3 increases,
increased NO consumption in the adventitial region results in a steeper concentration gradient and therefore a higher molar flux at the source
(r = R2), which leads to a
higher value for
2. Thus, for small values of
R1,
2 is more sensitive to
y0, y2, and
y3 than the rate constant,
k1. As R1 increases the
dependence of
2 on k1 becomes
more significant, and
2 becomes independent of
y3 as R3 becomes large.
The molar flux estimated at the external boundary (characterized by
3) is lower than the flux determined at the generating source (characterized by
2). In contrast to
2,
3 is essentially independent of
R1 and exhibits greater dependence on
k1 than
2. In addition, as
k1 increases,
2 increases whereas
3 decreases with increased adventitial NO consumption
(compare P values and regression coefficients of 7.4 × 10
6 and
0.016 for
3 vs. 3.0 × 10
3 and 0.009 for
2, respectively, in
Table 2). Thus NO consumption enhances mass transport at the production
source (r = R2) and attenuates
mass transport at the outer adventitial boundary (r = R3). Hence, as one moves further from the NO
source, both the NO concentration and the molar flux become attenuated
as a result of NO consumption by scavengers.
Table 2 also shows that both
2 and
3 are
very sensitive to y0, y2,
and y3 (i.e., the ratios
R0/R1,
R2/R1, and
R3/R1, respectively) but
not appreciably sensitive to R1. Hence,
2 and
3 are determined primarily by the
relative differences 1
y0 = (R1
R0)/R1,
y2
1 = (R2
R1)/R1, and
y3
1 = (R3
R1)/R1, which define the geometry of the EFZ, rather than by the luminal radius of the vessel.
Thus the relative distances (and therefore the mass transfer resistances) between the NO production sources (at r = R1 and R2, respectively)
and their closest sinks (at r = R0 and R3, respectively) control fluxes
2 and
3.
For most of our simulations, inner blood vessel radius,
R1, is large relative to the differences
R1
R0 and
R2
R0. Therefore, near the
blood vessel, the effects of curvature are small and it can be modeled
as if it were two flat plates. Thus
2 is weakly dependent on R1 and is controlled almost
exclusively by y0, y2, and y3. At the outer adventitial boundary
(r = R
3 is very insensitive to
R1 and is controlled almost exclusively by
y0, y2, and
y3.
As one moves away from the blood vessel, angular and axial diffusion
fluxes become more important. Thus the accuracy of the predicted molar
flux at the outer adventitial boundary is limited. However, this model
does provide an estimate for the maximum possible flux over limited
regions of a blood vessel's circumference. On this basis, blood
vessels must be relatively close to the airway lumen to contribute
significant amounts of NO to the airway lumen gas space. For example,
with y3 = 2 (i.e., within 2 blood vessel radii of the airway lumen),
3 is in the range
0.2-0.65 for y2 = 1.2 (see Fig. 3).
However, if the blood vessel is far away from the airway lumen,
3 is much lower (e.g., with
y3 = 20, typical of the upper conductive
airways of the lungs,
3 < 0.2; see Fig. 3).
Therefore, our results do not contradict the prevailing hypothesis that blood vessels do not contribute significantly to endogenous exhaled NO.
For the typical conditions assumed here, optimal NO signaling efficacy
is anticipated for a blood vessel radius of ~20-30 µm (Fig.
4). The optimal blood vessel radius represents a dynamic balance
between in vivo chemical consumption and NO production rates. For
similar geometries, with the dimensionless length parameters, yi = Ri/R1, constant, the
influence of chemical consumption and NO production increase with
2 = k1R
NO,iR1/D, respectively. Thus the optimal radius corresponds to a critical blood
vessel geometry at which these two opposing effects balance each other.
Thomas et al. (45) report that the half-life for NO surrounding a vessel is inversely proportional to O2 concentration, which implies that NO consumption via its reaction with O2 is first-order with respect to [O2]. Because [O2] decreases with distance from an arteriole, a gradient (corresponding decrease) in NO consumption rate with distance from the vessel is created. Because this reaction rate is second order with respect to [NO], it would be higher at high [NO] (and lower at low [NO]) than the rate that would be predicted by a first-order mechanism. Thus we expect the apparent first-order rate constant for NO consumption to decrease as we move away from an arteriole, as proposed by Thomas et al. (45). This implies that the NO consumption rate close to the blood vessel would be faster than that predicted by a first-order mechanism and, conversely, slower as we move away from the blood vessel. This effect would "flatten" the [NO] profile, thereby decreasing the diffusion rate away from the blood vessel. The rate of NO consumption via O2 in pure water is very slow (1), and we expect its impact to be modest. However, NO consumption via O2 may be accelerated within the hydrophobic interiors of neighboring cell membranes (31).
In conclusion, the rapid rate of reaction of free NO with Hb in blood does not prevent its action as an important signaling molecule for vascular smooth muscle dilation. Steady-state sGC activities of 45-80% are achieved in vascular smooth muscle adjacent to 20- to 100-µm diameter arterioles. Intermittent generation of endothelial NO provides a possible mechanism to enhance sGC activation by minimizing NO losses to the blood. The latter hypothesis is deemed plausible because both pulsatile changes in vascular networks and muscular contraction/relaxation have been shown to exhibit cyclic behavior with periods of <1 s (21, 35, 37). However, experimental validation of this transient mechanism will require real-time monitoring of NO concentration at resolutions on the order of milliseconds.
| |
APPENDIX |
|---|
|
|
|---|
Dimensionless form of governing equation and boundary conditions.
The transient boundary value problem of Eqs. 1,
2, and 3 is expressed in dimensionless form as
|
(A1) |
|
(A2) |
|
(A3) |
|
(A4) |
|
(A5) |
= Dt/R1,
2 = k1R
NO,iR1/D
(i = 1, 2) are the scaled production rates.
R
2C in pulmonary tissue (y3
y > y1 = 1), and
RNO(C) = 0 in the EFZ (1
y
y0). The initial condition, at t = 0, corresponds to steady state with basal NO production levels,




Steady-state solution.
At steady state (ss) the time derivative in Eq. A1 vanishes
and its solution is determined by direct integration of the resulting ordinary differential equation to obtain the following general solution
|
(A6) |
|
(A7) |
|
|
(A8) |
|
NO,1,ssR1/D.
C1,ss = C(t
, y = 1)
and C'2+,ss =
C/
y|
Transient solution.
We apply the method of separation of variables to obtain solutions to
the governing equations, which are expressed in terms of exponential
functions of time and Bessel functions in r (7, 15,
38). We then convert the resulting boundary value problem into
Sturm-Louiville form, by expressing the solution as the sum of
steady-state and transient parts. Application of Duhamel's principle
leads to analytical solution in terms of



NO,i (t = 0) = 

NO,i(t), from




) =
NO,i(t)R1/D,
have initial and final values Q





Q(
) = Q1(
) + Q2(
)
Q
Q
QMax, evaluated at Q

) = [Qi(
)
Q
QMax . Hence, the
maximum values of qi(
) are
q

Q
QMax, where
q

(
, y) = [C(t, y)
C
QMax.
For step changes in qi(
) the final,
steady-state distribution,
ss(y) =
(

, y), is determined within the three physiological regions of interest [the EFZ, endothelial cell(s), and
the adventitial region] as a set of algebraic equations, which are
linear in the inputs, q

(
,y) =
ss(y) + 
(
,y),
substitute this sum into Eqs. A1-A5, and force
ss(y) to satisfy Eqs. A2-A5.
With either qi(
) "turned on" and the
other qi(
) set to zero ("turned
off") [e.g., q1(
) = step function and
q2(
) = 0, and the converse], the transient part of
the solution, 
(
, y), satisfies Sturm-Louiville
problems on two intervals (1
y
y0 and y3
y
1). On each interval, the general solution is a Fourier-Bessel
series (7). The eigenvalues are determined by matching the
two solutions at y = 1. Appropriate Fourier constants [corresponding to qi(
) turned on, for i = 1, 2] are determined by satisfying the initial condition,
C
), by applying Duhamel's principle (15). Finally, the transient concentration distribution is
computed as C(t, y) = C
(
,
y)
QMax. For all three of the NO production
scenarios considered here [i.e., step change, pulse change, and
continuous (square wave) pulses], Eqs. A1-A5 can be
integrated analytically. However, the final solutions are quite
involved and are omitted for brevity.
| |
FOOTNOTES |
|---|
Address for reprint requests and other correspondence: S. C. George, Dept. of Chemical Engineering and Materials Science, 916 Engineering Tower, Univ. of California, Irvine, CA 92697-2575 (E-mail: scgeorge{at}uci.edu).
The costs of publication of this article were defrayed in part by the payment of page charges. The article must therefore be hereby marked "advertisement" in accordance with 18 U.S.C. Section 1734 solely to indicate this fact.
August 22, 2002;10.1152/ajpheart.00003.2002
Received 3 January 2002; accepted in final form 12 August 2002.
| |
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