Vascular damage
induced by acute hypertension is preceded by a peculiar pattern where
blood vessels show alternating regions of constrictions and dilations
("sausages on a string"). The pattern occurs in the smaller blood
vessels, and it plays a central role in causing the vascular damage. A
related vascular pattern has been observed in larger vessels from
several organs during angiography. In the larger vessels the occurrence
of the pattern does not appear to be related to acute hypertension. A
unifying feature between the phenomenon in large and small vessels
seems to be an increase in vascular wall tension. Despite much
research, the mechanisms underlying the sausage pattern have remained
unknown. Here we present an anisotropic model of the vessel wall and
show that the sausage pattern can arise because of an instability of
the vessel wall. The model reproduces many of the key features observed experimentally. Most importantly, it suggests that the "sausaging" phenomenon is neither caused by a mechanical failure of the vessel wall
due to a high blood pressure nor is it due to standing pressure waves
caused by the beating of the heart. Rather, it is the expression of a
general instability phenomenon. Experimental data suggest that the
structural changes induced by the instability may cause secondary
damage to the wall of small arteries and arterioles in the form of
endothelial hyperpermeability followed by local fibrinoid necrosis of
the vascular wall.
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INTRODUCTION |
THAT BLOOD
VESSELS have a regular cylindrical shape is an observation that
at first sight does not appear to be in need of an explanation.
However, there are several reports in the literature suggesting that
the cylindrical shape may not be the preferred shape under all
circumstances. Interestingly, it appears that vessels may also assume a
stable pattern characterized by periodic constrictions and dilations.
When severe experimental hypertension is induced by intravenous
infusion of either ANG II (15, 17), norepinephrine
(30), or
NG-nitro-L-arginine methyl ester
(L-NAME) (6), arterioles may develop a
pattern of alternating constrictions and dilations along the
vessel, giving rise to the so-called "sausage-string appearance" (Fig. 1) (6-8, 15, 17,
30). This vascular pattern has been demonstrated in small blood
vessels in various vascular beds, including mesentery, intestine,
kidney, eye, ear, and brain. The phenomenon is of a functional nature,
since it disappears on lowering of the arterial pressure and reappears
if the pressure is increased once more (16).

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Fig. 1.
In vivo micrograph of rat intestinal arterioles showing a
typical "sausage-string" pattern after induction of acute
hypertension by intravenous infusion of ANG II. The accompanying
vessels not showing constrictions and dilations are the corresponding
venules. Scale bar in lower left corner, 100 µm. [Reproduced from
Ref. 22 with permission.]
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In the microcirculation the development of the sausage-string pattern
is linked to the development of vascular damage. Endothelial hyperpermeability and exudation of macromolecules develop specifically in the dilated regions of the vessel (16, 17, 19, 20). This hyperpermeability is likely to be of clinical significance. It was
noted already by Goldblatt (18) that arteriolar fibrinoid necrosis associated with severe hypertension is not distributed uniformly along the affected vessels. In fact, on microscopic examination of longitudinal sections of arterioles exposed to severe
hypertension, areas dominated by fibrinoid necrosis alternate with
apparently normal vascular wall segments (18). It is
likely that this patchy distribution of arteriolar wall necrosis in
malignant hypertension is a consequence of the peculiar sausage-string
pattern that precedes the development of arteriolar lesions.
A remarkably similar vascular phenomenon has been observed in larger
vessels during angiography (12, 23, 28). As in the
microcirculation the vessels show periodic constrictions and dilations,
and the phenomenon has been termed "stationary arterial waves" or
"corrugated arteries" by different authors. It was first observed
in femoral arteries (28, 29) but has subsequently been
reported also in carotid, radial, splenic, superior mesenteric, and
renal arteries (12). The striking pattern is stable, and it can appear on repeat angiograms obtained from a few minutes to a
year later. Corrugations, however, disappear after administration of
sympatholytic drugs, and it has not been possible to demonstrate any
structural changes in the vessel wall that can explain the phenomenon.
The phenomenon has been observed proximal from obstructive vascular
lesions and in patients with various vascular diseases, e.g.,
thromboangiitis obliterans (Buerger's disease). In these large
vessels, it has not been possible to establish any clinical consequences of corrugations (1, 12).
Several theories have been advanced to explain the occurrence of the
regular pattern of constrictions and dilations (5, 12,
23). The dominant views have been that they are due either to
some form of vascular spasm or that they are caused by a mechanical failure of the vessel wall (a blow out). However, these theories do not
give a satisfactory explanation for the remarkable regularity and
stability of the pattern.
In this paper we present a recently developed anisotropic, elastic
model of the vessel wall (2) and show that under certain conditions an instability occurs that leads to a periodic pattern of
constrictions and dilations along the vessel. The model provides predictions for the conditions under which the cylindrical form of the
vessel becomes unstable, as well as for the physical characteristics of
the pattern. We compare some of these theoretical predictions with
simulated results as well as with experimental data obtained in rat
intestinal arterioles during acute severe ANG II- or
norepinephrine-induced hypertension.
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METHODS |
Experimental Studies
Animal preparation.
Male Wistar rats (Panum Institute, Copenhagen, Denmark)
(n = 15) weighing 187 ± 9 g or male
Sprague-Dawley rats (Møllegård, Lille Skensved, Denmark)
(n = 14) weighing 199 ± 7 g were used for
the experiments. The experimental protocol was approved by the National
Research Animal Committee. Anesthesia was induced in a chamber
containing 5% halothane in a 35% O2-65% N2
mixture followed by administration of 2% halothane in a 35%
O2-65% N2 mixture on a mask. Two polyethylene
catheters (PE-10) were placed in the left jugular vein for infusions,
and a catheter (PE-50) was inserted in the right carotid artery for
continuous measurement of blood pressure (TBM4, World Precision
Instruments, Aston, UK). Finally, a tracheostomy was performed to
ensure unobstructed airways. After the initial surgical procedure,
halothane anesthesia was replaced by intravenous infusion of
pentobarbital sodium (120-150 µg/min). The animal was placed on
a servocontrolled heated table maintaining body temperature at 37°C.
After a median laparotomy, a loop (4-5 cm) of the jejunum was
gently exteriorized and placed on a small stage slightly elevated from
the table carrying the animal. A hole in the stage covered with a
40 × 24 mm covering glass allowed transillumination of the
intestine. Using a microcautery, a 5-mm incision was made in the
antimesenteric border of an empty intestinal segment. Subsequently, an
approximately 1 × 3 × 30 mm Sylgard (Dow Corning) block was
introduced into the lumen of the intestine. The size of the Sylgard
block was chosen to fill out the intestinal lumen, but care was taken
not to stretch the intestinal wall and with it the vascular segments.
The Sylgard block enabled sufficient transillumination for
visualization purposes and protected against peristaltic movements of
the intestinal segment under observation. The exteriorized intestine
and mesentery were superfused with a 37°C physiological saline
solution (0.9%) at a rate of 2-3 ml/min.
Observation of intestinal microcirculation and induction of
hypertension.
Microscopic observations of the intestinal microcirculation were begun
after 30-min stabilization of the preparation. The intestinal
microcirculation was observed using either a 4× or a 10× objective
(Olympus, Tokyo) mounted on an upright microscope (BX50WI, Olympus).
The field was viewed on a monitor (Trinitron, PWM 1442 QM, Sony, Tokyo)
using a monochrome CCD camera (CCD 72S, DageMTI, Michigan City, IN),
and recorded on videotape for off-line analysis. The final
magnification of the image was approximately ×140 with the 4×
objective and approximately ×350 with the 10× objective. The spatial
resolution was
1 µm. The microscope was mounted on a motorized
moveable stage (Micromanipulator Mini 25, Luigs and Neumann, Ratingen,
Germany) that enabled easy observation of several points along the
arterial tree under investigation. In the rat small intestine a small
artery (subsequently referred to as A1) leaves the arcade artery along
the mesenteric border and transverses approximately one-third of the
intestine. In each experiment we studied one A1 and its branches (up to
4 lower branch orders, A2-A5) before and during the development of
hypertension. The following parameters were recorded: branch order,
resting diameter, appearance of sausage-string phenomena, minimal
diameter during vasoconstriction, diameter, and length of localized
dilations. In some experiments the time course of diameter changes was
analyzed. In some experiments hypertension was relieved and reinduced
to assess the reproducibility of the locations of localized dilations. Dilations occurring in relation to vessel bifurcations were not included in the analysis.
In the first series of experiments (n = 15, Wistar
rats) hypertension was induced by continuous intravenous infusion of
ANG II [50 µg/ml at 20 µl/min (1 µg/min) dissolved in 0.9%
NaCl, Sigma Chemicals]. In the second series of experiments
(n = 12, Sprague-Dawley rats) hypertension was induced
by giving an initial fast infusion of ANG II (0.1-0.2 ml, 50 µg/ml in 1-3 s) until a rise in blood pressure was observed.
Thereafter ANG II was infused for another 10-20 s at 20 µl/min.
After the ANG II infusion was interrupted, and when the blood pressure
had returned to the control value (usually after 5-10 min), either
ANG II (n = 9) or norepinephrine (n = 3) was given. The ANG II infusion in the second period was similar to
the one given in the first period. Norepinephrine was given as an
initial fast infusion (0.1-0.3 ml, 64 µg/ml in 1-3 s) until
a rise in blood pressure was observed. Thereafter a continuous infusion
of norepinephrine (64 µg/ml at 20 µl/min) was given for another
10-20 s. When the blood pressure returned to the control value,
ANG II (n = 12) was given once more following the same protocol. In one experiment the last infusion period was continued for
more than 20 min to test the long-term stability of the sausage pattern. In the final series of experiments (n = 2, Sprague-Dawley rats) hypertension was induced by giving an initial fast
infusion of norepinephrine (0.1-0.3 ml, 64 µg/ml in 1-3 s)
until a rise in blood pressure was observed. Thereafter a continuous
infusion of norepinephrine (64 µg/ml at 20 µl/min dissolved in
0.9% NaCl) was given for 10-20 s. After the norepinephrine
infusion was interrupted, and when the blood pressure had returned to
the control value (usually after 5-10 min), norepinephrine was
given once more following the same protocol.
The Model
Kinetics of the vascular wall.
The goal is to obtain a dynamic equation describing the local evolution
of the internal radius ri. Because blood is an
incompressible fluid, a change in the internal radius of the vessel
will be associated with a movement of the luminal fluid. Therefore, at
a given point x along the length of the vessel, and at a
given time t, the rate of change in the luminal
cross-sectional area with time will be associated with a change in the
volume flow J. From considerations of continuity it follows
that
|
(1)
|
where ri = ri(t,x) is the inner
radius of the vessel. Ignoring inertial terms, the volume flow can be
expressed as a function of the vascular conductance C and
the local pressure gradient
|
(2)
|
It is assumed that the vascular conductance C can be
described by the Hagen-Poiseuille relation
|
(3)
|
where
is the viscosity.
Inserting Eq. 3 into Eq. 2 and differentiating
with respect to x yields
|
(4)
|
Inserting Eq. 4 into Eq. 1 yields an
expression for the rate of change in internal radius at a given
position along the vessel, that is
|
(5)
|
Mechanics of the vessel wall.
The vessel wall is assumed to be in a near-equilibrium state. As a
consequence, at each instance it can be assumed that the outward
directed force due to the transmural pressure is balanced by the inward
directed force by the vessel wall. It is further assumed that the rate
of movement of the vessel wall is so slow that inertial and viscous
forces in the wall can be ignored. Finally the vessel wall is modeled
as a layered structure where each layer carries a part of the
transmural pressure P. The contribution of each layer is
calculated by the differential form of Laplace's law (13,
14)
|
(6)
|
where S and Sx are the
circumferential and longitudinal stresses in a given layer of the
vessel wall, respectively, and R and
Rx are the radii of curvature of the layer in
the circumferential and the longitudinal directions, respectively. The
transmural pressure can then be calculated by integrating Eq. 6 through the vessel wall
|
(7)
|
where
is the wall thickness. The two radii of curvature of a
given layer are functions of their position within the vessel wall and
can be expressed (9) as
|
(8)
|
|
(9)
|
where r is the circumferential radius of the layer
within the vessel wall.
The circumferential stress S is the force generated in the
circumferential direction divided by the actual cross-sectional area of
the vessel wall, F/A. It can be calculated from the
idealized stress
(force per relaxed cross-sectional
area) (11), as
|
(10)
|
where
is the circumferential strain at a given position
within the vessel wall. The circumferential strain is defined as L/L0
1, where L is the actual
length of the tissue, and L0 is the length of
the relaxed, unloaded tissue. Because the length of a vessel remains
almost constant during a constriction, it is assumed that the stress in
the longitudinal direction, Sx, is constant.
If
is the radial position of a layer within the relaxed vessel
wall, and r is the radial position of the same layer in the constricted vessel wall, then it follows from the constant length of
the vessel and the incompressibility of the vessel wall that the
cross-sectional area between two layers remains constant, i.e., that
|
(11)
|
where
i and ri
are the internal radius in the relaxed and constricted conditions,
respectively. Rearranging and differentiating, we obtain
|
(12)
|
Inserting Eqs. 8-12 into Eq. 7 and
introducing the integration variable z =
/
i gives
|
(13)
|
where
o denotes the outermost layer.
Note that z = 1 corresponds to the innermost layer of the
wall and z =
o/
i
corresponds to the outermost layer. The circumferential strain
in a
given layer depends on its position within the wall and on the actual inner radius of the vessel (11)
|
(14)
|
Simplifying Eq. 13 by inserting Eq. 14, we
reach the final expression from which the transmural pressure can be
obtained
|
(15)
|
The system is described by Eqs. 5 and 15.
Equation 15 allows the calculation of the pressure profile
along a vessel for a given longitudinal profile of the inner radius.
The time derivative of the inner radius can then be calculated from
Eq. 5, allowing the calculation of the longitudinal profile
of the inner radius at the next time point.
Computations and Numerical Methods
The source code was written in C by the authors using Microsoft
Developer Studio (Visual C++ 5.0 professional edition, Microsoft, Seattle, WA). Simulations were performed on a Sun Ultra80 workstation (Sun Systems, Palos Alto, CA), with a simulation of a single sausaging episode usually taking 10-20 days. The long computational time stems from the numerical (iterative) solution of the partial
differential equations of the model. For the numerical integration of
Eq. 5, a fourth-order Runge-Kutta scheme with stepwise
adaptation of the size of the integration step was used
(26).
Statistical Analysis
Data are presented as means ± SE. Experimental data were
compared using the Student's t-test. Regression lines were
fitted by a standard least-squares method. A P value <0.05
was considered significant.
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RESULTS |
Experimental Studies
In the first series, infusion of ANG II at a rate of 1 µg/min
induced a typical sausage-string pattern in the small intestinal vessels in 9 of 15 rats. In the second series, using a faster initial
infusion rate of ANG II, ANG II infusion induced the sausage-string pattern in 10 of 12 rats. In the third series, norepinephrine induced
the sausage-string pattern in two of two rats. Although the protocols
where the vasoactive substances are initially given as a fast infusion
were slightly more successful in inducing the sausage pattern compared
with the protocol using a constant infusion rate (86 vs. 60%), this
difference was not statistically significant. Because the
sausage-string patterns induced in the three series differed neither in
shape nor in dimension, all the results in the three groups were
pooled. There were no statistically significant differences between the
blood pressures in the rats that showed sausaging compared with the
rats that did not show the pattern. In the first group the mean blood
pressure increased from 103 ± 3 to 155 ± 4 mmHg
(n = 21) during the infusion, and in the latter it
increased from 97 ± 3 to 169 ± 6 mmHg (n = 8).
Figure 2 shows the distribution of the
observed sausage-string patterns as a function of the preinfusion
vascular diameter. When the sausage-string pattern occurred, it was
present in a large number of vessels in the preparation. However,
because of the experimental setup it was only possible to obtain
optimal measurement conditions (e.g., good transillumination, clearly defined borders, no movements, several branch orders visible) for a few
vessels in each rat. The sausage-string patterns were most frequently
observed in the A2-A3 generation of arterial branches and were
only rarely seen in the largest (A1) and the smallest (A4-A5) of
the intestinal vessels. Figure 3 shows
the time course for the development of sausage-string patterns in two
vessels from two rats in the second and third series. The time courses were the same regardless of whether ANG II or norepinephrine was infused. After start of the rapid infusion, the pattern occurs after
10 s, and it is fully developed within 5-10 s (Fig.
3A). Notice that the maximal radius of the
"sausage" actually exceeds the preinfusion radius. If the
infusion of ANG II (1 µg/min) was maintained, the sausage-string
pattern could be observed for >20 min (Fig. 3B). In the
first series where ANG II was infused a constant rate throughout, the
sausage pattern developed gradually over 5-10 min (not shown). The
length of the individual sausages increased linearly as a function of
the preinfusion vessel diameter (Fig. 4).
The line in Fig. 4 is the best fit through the origin.

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Fig. 2.
Distribution of the observed sausage-string patterns as a
function of the preinfusion vessel diameter. A total of 49 vessels were
observed to form a sausage pattern in 21 rats.
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Fig. 3.
Time course of "sausage" length ( ), and maximal
( ) and minimal diameters ( ) in 2 vessels as the sausage patterns developed. A: short-term
response to infusion of norepinephrine (NE). B: long-term
response to a prolonged infusion of ANG II. The intravenous infusions
were begun at time 0 s.
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Fig. 4.
Length of sausages as a function of the preinfusion
diameter of the vessel. The straight line represents the best fit
through the origin (y = 6.4x). Coefficient
of determination (R2) is 0.91; P < 0.01.
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The pattern was both reversible and reproducible. As illustrated in
Fig. 5, the sausage pattern disappeared
~5 min after the ANG II infusion was interrupted, and it reappeared
after consecutive infusions of either ANG II (Fig. 5A) or
norepinephrine (Fig. 5B). When the ANG II or norepinephrine
infusion was repeated in the 12 rats from series 2 and
3 that had shown the sausage-string pattern during the
initial infusion period, sausage-string patterns reappeared in a total
of 7 rats. The dilations and constrictions developed at the same sites
along the vessel during the repeated infusion periods (Fig. 5), and the
pattern of constrictions and dilations were the same when
norepinephrine and ANG II were infused consecutively to the same rat
(Fig. 5B).

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Fig. 5.
Effect of repeat infusions of ANG II and/or NE. A: when
the ANG II infusion was interrupted (CON), the sausage-string pattern
disappeared, and it reappeared at the same sites on repeat infusions of
ANG II. Scale bar at bottom left corner, 50 µm. B: as with
the infusion of ANG II, infusion of NE also caused the appearance of
the sausage-string pattern. Notice that the pattern seen during NE
infusion is identical to that seen during ANG II infusion. Scale bar at
top left corner, 50 µm. CON, infusion of saline.
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Simulation Studies
Figure 6A shows a
theoretical stress-strain curve for a piece of vascular tissue during
maximal activation of the smooth muscle cells. Note that the curve
includes both the active stress due to the contraction of the vascular
smooth muscle cells and the passive stress due to the collagen and the
elastic fibers of the vessel wall. During vasoconstriction the strain
in the different layers depends on their position within the vessel
wall (cf. Eq. 14). The two filled circles in Fig.
6A indicate the respective strain-stress values in the
innermost and the outermost layers of the wall of a constricted vessel
with an inner resting radius (
i) of 15 µm,
an actual inner radius (ri) of 4 µm, and a
wall-to-lumen ratio [(
o
i)/
i] of 0.1. As shown
previously (2), if the point corresponding to the
outermost layer lies below the line through the origin and the point
corresponding to the innermost layer (the dotted line in Fig. 6A), the
cylindrical shape of the vessel is unstable. Thus, after a small
perturbation, it will not return to the cylindrical shape. Figure
6B illustrates the same vessel at the same transmural
pressure, but now only at ~50% activation of the vascular smooth
muscle cells. In this case, the point corresponding to the outermost
layer is above the dotted line, and the cylindrical shape of the vessel
is stable (2).

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Fig. 6.
Schematic plot of stress ( )-strain ( )
relations for an arteriole. A: solid line corresponds to the
stress-strain relation for an arteriole with maximal activation of the
vascular smooth muscle cells. The dots on the solid line indicate the
corresponding values of stress and strain in the innermost and
outermost layers of the vessel at a given internal diameter. If the dot
corresponding to the outermost layer is below the line through the
origin and the dot corresponding to the innermost layer (dotted line),
the cylindrical shape will be unstable. B: here the solid
line corresponds to the stress-strain relation of an arteriole at
half-maximal activation. In this case the dot corresponding to the
outermost layer is above the line through the origin and the dot
corresponding to the innermost layer. Consequently the cylindrical
shape of the vessel is stable. See text for details.
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Figure 7 shows the result of a simulation
using parameters corresponding to Fig. 6A. The cylindrical
shape was perturbed by adding a random number between
5 × 10
2 and 5 × 10
2 µm to the inner
radius (see Fig. 7, box). At t = 1 × 10
5 s, some of the variation in the inner radius has
disappeared, and as time progresses the perturbation grows in
amplitude, while the wavelength of the perturbation increases. After
~0.02 s the pattern is stable, and the vessel now shows a typical
sausage pattern with alternating constrictions and dilations.

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Fig. 7.
Evolution of the sausage pattern. At time 0 the cylindrical shape is perturbed by adding random numbers between
5 × 10 2 and 5 × 10 2 µm to
the inner radius. The box represents a blow up (1.5× on
x-axis and 100× on y-axis) of the inner diameter
of the vessel. After 10 5 s the shape of the vessel has
already been smoothed by the disappearance of the highest frequencies
of the initial perturbation (see box) that represents a blow up of the
innermost diameter. As time progresses there is a gradual increase in
the amplitude and the wavelength of the perturbation. After ~2 × 10 2 s, a stable sausage pattern has developed. Notice
that the figure is not drawn to scale. For this simulation, initial
ri = 4 µm and i = 15 µm, where ri and i
are the internal radii in the constricted and relaxed conditions,
respectively; resting wall-to-lumen ratio [( o
i)/ i] = 0.1; and longitudinal stress (Sx) = 10 kPa.
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To fulfill the instability criterion outlined in Fig. 6, it is
necessary that the stress-strain curve is relatively flat over a range
of strains, i.e., that there is a part of the curve where the stress is
relatively independent of the strain. This is illustrated in Fig.
8, where we used different shapes of the
stress-strain curve for the computations. As the relatively flat
portion of the stress-strain curve is reduced, the region where the
instability occurs is also smaller. However, it is clear that the
occurrence of a sausage-string pattern is not critically dependent on
the specific shape of the stress-strain curve. From Fig. 8B
it can also be seen that increasing the wall-to-lumen ratio decreases the region where the instability will occur. A thick-walled vessel will
therefore be less prone to develop the instability.

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Fig. 8.
A: 3 different stress-strain relations for an
arteriole at maximal activation. The stress-strain relation represented
by the solid curve is the same as the relation shown in Fig.
6A. The stress-strain relation represented by the fine
dashed line (short dashes) has a shortened flat portion at the lowest
values of the strain, and this is even more pronounced for the
stress-strain relation represented by the coarse dashed line (long
dashes). B: regions where the cylindrical shape becomes
unstable. For the stress-strain curve represented in A by
the solid line, the cylindrical shape of the vessel will be unstable
when the normalized inner radius
(ri/ i) is reduced below the solid
line. The value of ri/ i where the
instability occurs decreases with increasing wall-to-lumen ratios. The
light gray area indicates the region of
ri/ i and wall-to-lumen ratios
where the cylindrical shape of the vessel is unstable for the
stress-strain curve represented by the fine dashed line in
A. The black area represents the corresponding area of
instability for the stress-strain curve represented by the coarse
dashed line in A. As the flat portion of the
stress-strain curve is reduced, the area of the region where
the instability occurs is reduced. In all simulations,
Sx was 10 kPa.
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The shape of the stress-strain curve influences the shape of the
"sausages." Figure 9 shows the result
of a simulation where the flat portion of the stress-strain curve is
reduced in length (coarse dashed line in Fig. 8A). When the
flat portion is reduced in length, the constrictions become somewhat
less pronounced. Also shown in Fig. 9 is the pressure in the vessel
during the development of the sausage pattern. Initially the pressure
tends to be higher in the constricted regions compared with the dilated regions (cf. Fig. 9, top). This is not due to differences in
the degree of activation of the vascular smooth muscle because this is
assumed to be similar and maximal in all parts of the vessel. Rather,
it is a consequence of the law of Laplace. Due to the flat part of the
stress-strain curve the tension in the wall is relatively stable as the
vessel either constricts or dilates. Because the pressure is
approximately inversely proportional to the circumferential radius (cf.
Eq. 6) the pressure will increase in regions that constrict
and decrease in regions that dilate. The pressure difference inside the
vessel will then cause further shifts in the intravascular blood volume
so that blood will move from the constricted to the dilated regions,
thereby reinforcing the development of the sausage pattern. Ultimately,
as can be seen in the bottom panel, the system reaches a new mechanical equilibrium where the blood has redistributed and the intravascular pressure again is the same throughout the vessel.

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Fig. 9.
Time course of the inner radius and the transmural
pressure during the development of the sausage pattern. For this
simulation the stress-strain curve given by the coarse dashed line in
Fig. 8A was used. The time refers to time after the
perturbation. After 10 1 s the transmural pressure is
uniform along the vessel, indicating that the vessel has attained a new
steady state. For this simulation initial
ri = 4.5 µm,
i = 15 µm, resting wall-to-lumen ratio = 0.1, and Sx = 10 kPa.
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The sausage-string pattern occurred over a wide range of parameter
values. However, the geometrical characteristics of the "sausages"
varied as the different parameter values were changed. Figure
10 shows how the sausages become
elongated as the wall-to-lumen ratio [(
o
i)/
i] is
increased. At the lowest wall-to-lumen ratio, the pattern is more like
pearls on a string. For larger, more realistic values of the
wall-to-lumen ratio, both the dilated and the constricted regions
elongate, and the shape becomes closer to that seen experimentally
(Fig. 10B)

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Fig. 10.
A: sausage pattern at 3 different
wall-to-lumen ratios [WLR = ( o i)/ i]. For a very
thin-walled vessel (WLR = 0.02), the individual sausages are
fairly short. For a slightly thicker wall (WLR = 0.1), the
sausages are elongated. This is even more pronounced as the WLR is
increased to 0.2. For these simulations, initial
ri = 4 µm, i = 15 µm, and Sx = 10 kPa. B:
high-magnification view of sausages on an intestinal arteriole. Notice
that both the sausages and the constrictions are elongated, resembling
the simulations above with WLR = 0.2. Scale bar in bottom left
corner, 50 µm.
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A critical parameter is the longitudinal stress
Sx. There is little information in the current
literature as to its magnitude. We therefore performed simulations
where the magnitude of this parameter was varied by a factor of 10. As
can be seen from Fig. 11, as the
longitudinal stress increased, the length between the constrictions
increased. From the linear theory outlined in the APPENDIX,
we expect that the length of the sausages increases with the square
root of the longitudinal stress. This is confirmed by the results of
the simulations. In Fig. 11 we have fitted a square root relation
between the length of the sausages and the longitudinal stress. There
is good agreement between the results of the simulations and the
theoretical predictions. The slight scatter of the simulation results
around the regression line is due, at least in part, to the use of a
random initial perturbation. This will cause a slight variation in the
final shape of the pattern despite all other parameters being equal.
Interestingly, the computational burden increased considerably as the
longitudinal stress increased. At the lowest values of the stress, the
simulations would be finished within a couple of days, whereas for the
largest values of the stress investigated, the simulations required
close to 3 wk to complete.

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Fig. 11.
Sausage length as a function of
Sx. The solid line represents the best fit of
the relation y = ax1/2, where
a = 12.2 µm · kPa 1/2
(R2 = 0.98, P < 0.01). The scatter of the simulated data is due to the use of a random
initial perturbation. For these simulations, initial
ri = 4 µm, i = 15 µm, and resting wall-to-lumen ratio = 0.1.
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There is a direct linear relationship between the length of the
sausages and the resting radius of the vessel (Fig.
12). As the resting radius increases,
the length of the sausages also increases. Thus small vessels will tend
to form short sausages, whereas larger vessels will have longer
sausages during the instability. Again there is a good agreement
between the simulations and the predictions from the linear theory (cf.
APPENDIX). The same linear relationship between vessel size
and sausage length was also present in the experimental data (cf. Fig.
4). Notice, however, that the slopes were significantly different, with
the slope estimated from the experimental data being 3.5 times that
found in the simulations.

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Fig. 12.
Sausage length as a function of resting vessel diameter
(2 i). The solid line is the best linear fit
through the origin (R2 = 0.999, P < 0.01). For these simulations, initial
ri = 4 i/15 (thus the
degree of constriction was the same irrespective of vessel size), and
Sx = 10 kPa.
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DISCUSSION |
Although it has been known for decades that arteries and
arterioles can assume a shape characterized by regular, symmetric, and
alternating areas of constrictions and dilations, the mechanism(s) underlying this phenomenon has remained an enigma (1, 12, 22). The results of the present study suggest that under certain conditions the normal, cylindrical shape of a blood vessel may become
unstable, and as a result the vessel exhibits a periodic pattern of
constrictions and dilations.
The peculiar pattern of constrictions and dilations has been described
both in the microcirculation using in vivo microscopy and in larger
vessels during arteriography (15, 16, 22, 24, 28). Despite
the remarkable similarity in the characteristics of the phenomenon in
large and small vessels, the investigations on the underlying
mechanism(s) appear to have progressed independently within their
respective fields. Characteristically the pattern appears to be
functional. There are, at least initially, no morphological distinctions between the constricted and the dilated areas (15, 22). The pattern is highly reproducible. In the microcirculation the phenomenon is typically seen during periods with high blood pressure, induced for example by intravenous infusion of ANG II. If the
hypertension is abolished, the uniform arteriolar structure is
restored. Elevating the pressure once more causes the reappearance of
the sausage pattern. Likewise, in larger vessels the corrugations can
be abolished by infusion of sympatholytic substances, and it will
reappear on termination of the infusion (12). Another spectacular feature of the phenomenon is its periodicity with constrictions and dilations occurring in a highly regular and repetitive pattern.
Several explanations have been advanced to explain the occurrence of
the periodic pattern of constrictions and dilations (5, 12, 22,
23, 24). In the microcirculation, the dominating view has been
that the phenomenon represented a blow out of the vessel wall. Thus,
due to high blood pressure, the vessel wall suffers a fatigue and the
local dilations appear. This hypothesis, however, is unable to explain
the periodic nature of the phenomenon. Also, it is problematic that
sausaging occurs in the peripheral part of the vascular tree (cf. Figs.
1 and 2) where the pressure increase will be modest due to the pressure
drop along the upstream vessels. In larger vessels it has been
suggested that the corrugations seen on angiograms could be an artefact
due to an interface disturbance between the contrast medium and the
blood (23). This fails however to explain the stationary
characteristics of the phenomenon over longer time periods, as well as
other features (12). It has also been suggested that the
corrugations could be due to standing arterial pressure waves
(24). However, the arterial pulse wave has a wavelength
much larger than the observed distances between the constrictions
(12-14).
The unifying feature connecting the sausage pattern in microvessels and
the corrugations in large vessels seems to be an increase in
circumferential wall stress (1, 22). In the microvessels this is typically caused by the infusion of vasoactive substances like
ANG II, norepinephrine, or L-NAME, which activates the
vascular smooth muscle cells causing increased wall tension, arteriolar constriction, and increased blood pressure (6, 15, 17, 30). In the larger vessels it is suggested that the increased circumferential wall stress is due to activation of the vascular smooth
muscle cells secondary to local diseases in the vessel wall (e.g.,
thromboangiitis obliterans and peripheral obstructive lesions)
(12, 28).
It could be argued that the periodic pattern reflects a spatial
heterogeneity in the distribution of receptors on the vascular smooth
muscle cells or a heterogeneity in the distribution of the contractile
filaments along the vessel. These possibilities cannot be excluded from
the present observations. However, the main conclusion from the present
work is that such a heterogeneity is not a necessity for explaining the
appearance of periodic constrictions and dilations. A uniform increase
in the tone of the vascular smooth muscle cells along a homogeneous
vessel can, under some circumstances, lead to the formation of a
periodic pattern of constrictions and dilations. In support of this
interpretation is the fact that the sausage-string pattern does not
depend on the specific nature of the infused vasoactive agent. Rather,
as also demonstrated in the present study, it can be induced by a variety of vasoactive substances (6, 15, 17, 30).
It may seem counterintuitive that a uniform increase in wall tension
results in the loss of the cylindrical shape, and the formation of a
pattern characterized by periodic constrictions and dilations. The
instability is related to the well-known instability responsible for
the breakup of a cylinder of fluid into droplets (the Rayleigh
instability) (25, 27). In a fluid the constrictions will
lead to a physical separation of the column, and thereby the formation
of droplets. A vessel will of course maintain its coherent structure.
Recently a similar instability has been described in tubular lipid
membranes (3, 4). When the membrane tension was increased
by local illumination with a laser beam, a similar pattern of
constrictions and dilations occurred. This has been termed the
"pearling" instability.
The critical feature necessary for the instability to occur is that the
stress-strain curve has a relatively flat portion, i.e., that there is
a region where the stress is relatively stable even though the strain
changes (Fig. 6). We hypothesize that such a region could exist at low
radii at maximal or near-maximal activation of the vascular smooth
muscle cells. As the vessel constricts due to the infusion of, for
example, ANG II, it will enter this region of the stress-strain curve.
Consequently, the cylindrical shape will become unstable, and the
sausage pattern will emerge.
The instability does not depend critically on the shape of the
stress-strain curve. This is illustrated in Fig. 8 where simulations were done for different shapes of the stress-strain curve. As the flat
portion of the stress-strain curve was shortened, the range of radii
where the instability occurs is decreased. For the curve with the
largest flat portion, the instability occurs when the radius
ri is reduced below 30-40% of the resting
value
i. In contrast, when the flat portion
was shortened from the left, the cylindrical shape regains its
stability when the radius is reduced to values below the flat portion
of the curve (Fig. 8). It should be emphasized that it is not a
requirement for the instability to occur that the stress-strain curve
has one of the shapes used in the present simulations (cf. Figs. 6 and
8). The only condition that needs to be fulfilled is that illustrated in Fig. 6. Thus there should be a region where the operating point for
the outer layer of the vessel wall falls below the line through the
origin and the operating point corresponding to the inner layer
(2). Clearly, there are many possible stress-strain curves that fulfill this quite general criterion. On the other hand, despite
similar increases in blood pressure, not all rats and not all vessels
of a similar size in the same rat showed the sausage pattern. One
explanation for this observation could be that the stress-strain curves
in these cases did not fulfill the instability criterion. This would
not be surprising, considering that stress-strain curves obtained from
different vessels show considerable variation (10).
In the present study we used two infusion protocols. The only
difference in the results between the two was the time course of the
sausage pattern. Not surprisingly, when the vasoactive compound was
infused at a rapid initial rate, the pattern developed faster compared
with when a constant, relatively slow infusion rate was used. The
sausage pattern emerged ~10 s after the initiation of the fast
infusion of either ANG II or norepinephrine, and it was fully developed
within 5-10 s (cf. Fig. 3). This is slower than the time course
found in the simulations where the pattern was fully developed within
0.02 s of the initial perturbation. There is, however, no major
discrepancy here, because the 10-15 s in vivo includes the time
necessary for the vasoactive substance to reach the local site and to
increase the vascular tone to the level where the instability occurs.
The speed by which the pattern develops in the simulated data merely
indicates that when the vessel has passed the point of instability (the
critical point), the new equilibrium state is attained fast. In
contrast, in the experiments the vessel is initially in a stable
condition. As the vasoactive substance is infused and the plasma levels
increase, the stress-strain relation gradually changes due to the
increasing activation of the vascular smooth muscle cells. After some
time the vessel will reach the critical point, and it will assume the sausage pattern. As the vessel moves past the critical point (due to
the continued infusion of the vasoactive agent), the amplitude of the
"sausages" will increase smoothly and the pattern will become more pronounced.
The resulting shape of the sausages will depend on the characteristics
of the vessel. The model predicts that the length of the individual
sausages depends on the size of the vessel. In a large vessel the
constrictions will be further apart compared with a vessel with a
smaller diameter (cf. Fig. 12). This is in agreement with the
experimental findings. As is evident from Fig. 4, there appears to be a
linear relationship between the preinfusion diameter of the vessel and
the length of the individual sausages. A similar linear relationship
between vessel diameter and wavelength of the corrugations has been
reported for large arteries (12, 24). Although there was a
linear relationship between vessel size and sausage length in both the
experimental and the simulated data, the slope of the linear
relationship was larger in the experimental data compared with the
simulated data. One reason for this discrepancy is that the
experimentally determined diameters are not resting values, but rather
represent the normal, partly constricted state of the vessel.
Therefore, the resting diameters will exceed the preinfusion diameters
used in Fig. 4, and consequently, the slope would have been smaller had
we used resting diameters instead. Also, the length of the sausages
depends on the values of the parameters used in the simulation. Using a
larger wall-to-lumen ratio increases the length of the sausages and
will therefore give a larger slope for the regression line. A second
important parameter that influences the length of the dilated regions
and thereby the slope of the regression line is the longitudinal stress Sx. There is little information in the
literature as to the size of the longitudinal stress in the vessel
wall. However, it is probably safe to assume that it will be at least
of the same order of magnitude as the transmural pressure (13,
14). Within this region, the length of the sausages increases
with the longitudinal stress. Therefore, using a larger value of the
longitudinal stress would also increase the slope of the regression
line between vessel diameter and sausage length. Because the
computational time increases considerably with increasing values for
Sx, we deliberately used a low value for this
parameter in the simulations. The linear analysis suggests that the
length should scale with the square root of the longitudinal stress,
and this is confirmed by the simulations. It is also possible that a
more elaborate model would give a better fit. In particular, the
present model assumes that the longitudinal stress is constant both as
the shape of the wall changes and in the different layers of the vessel
wall. This is clearly a simplification that could influence the
predicted size of the sausage length.
As the wall-to-lumen ratio is increased, the dilated areas become more
elongated. This may explain why the corrugations seen in large vessels
are more like pearls on a string than the corresponding structures seen
in the microcirculation, where the pattern resembles sausages on a
string. It is well known that the wall-to-lumen ratio increases as
arterial vessels get smaller (13, 14). Large vessels will
therefore show dilated regions that are shorter relative to the radius
of the vessel compared with small vessels (Fig. 10). Consequently, the
pattern will resemble pearls on a string rather than sausages on a
string in the larger vessels. Figure 8 shows that vessels with larger
wall-to-lumen ratios in general will be more stable compared with
vessels with thinner walls. As mentioned above, the wall-to-lumen ratio
increases as the arterial vessels get smaller. This may explain why the
sausage pattern is rarely observed in the smallest arterioles (Fig. 2).
The functional significance of the periodic pattern of constrictions
and dilations remains unresolved. There do not appear to be any
clinical correlates to the occurrence of corrugations observed in
larger arteries on angiograms. However, the sausage pattern seen during
severe hypertension in small arteries and arterioles appears to be
associated with significant functional alterations in the vascular
wall. It has been a consistent finding that a hyperpermeability
develops in the dilated regions (16, 19, 20). This
hyperpermeability is associated with the deposition of macromolecules
in the vascular wall of the dilated regions (5, 15, 16).
Whether this local deposition of macromolecules is associated with or
results in the patchy lesions of fibrinoid necrosis that is seen during
severe cases of hypertension (malignant hypertension) remains unresolved.
An interesting consequence of the present theory is that the increased
permeability observed in the dilated regions does not represent a
simple pressure effect. Indeed, only vessels where the pressure
increase is modest will destabilize (cf. Fig. 6), and the instability
is not associated with local increases in the transmural pressure (cf.
Fig. 9). Rather, the increased permeability may represent an active
endothelial response to the changes in the flow patterns and/or the
shear stresses elicited by the shape change. This is supported by
recent experimental studies that have shown that the increased
permeability, but not the "sausaging" phenomenon itself, can be
blocked by inhibitors of endothelin, a vasoactive peptide produced by
the endothelial cells (6).
A limitation of the present theory is the neglect of the branching
structure of the circulation. Dilations seem to be especially prevalent
at branching sites (7, 8, 15, 16), a fact not accounted
for by the simple theory presented here. A branching site has unique
elastic properties, and the flow and pressure patterns differ
significantly from those found in the cylindrical portions of the
vessel. Furthermore, the present model does not incorporate a
longitudinal flow along the vessel. We do not expect that this presents
a major problem. In the microcirculation, the sausaging is associated
with a nearly complete termination of the longitudinal flow as the
constrictions are narrow enough to restrict the movement of red blood
cells. We therefore expect that the assumption of a nearly uniform
transmural pressure will be an acceptable approximation to the
situation in vivo.
The present model does not include wall viscosity. Adding wall
viscosity will slow the speed by which the sausage pattern develops,
but it will not prevent the occurrence of the instability. Including
wall viscosity in the model is equivalent to increasing blood
viscosity. As can be seen from the stability analysis outlined in the
APPENDIX, the viscosity term does not enter into the
critical equation (Eq. A6). The instability is solely
dependent on shape of the stress-strain relation.
During pronounced vasoconstriction, the luminal surface of the vessel
may fold and form longitudinal ridges (21). In the present
model it is assumed that the individual layers remain circular even
during maximal vasoconstriction. However, it is unlikely that this
simplification is a problem. The main mechanical effect of the folding
is that below a given level of constriction, the layer loses the
ability to generate tangential force (21). This feature is
already included in the model. As can be seen from Fig. 8, even in
situations where the layers lose the ability to provide tangential
force below a certain level of constriction, it is still possible for
the instability to occur.
There was good agreement between the results of the linear analysis
(given in the APPENDIX) and the results of the computer simulations (Figs. 11 and 12). In a complex model like the present it
is inherently difficult to evaluate the adequacy of the numerical methods used in the simulations. However, the simulations and the
linear analysis are two independent solutions of the model equations,
and the good agreement between the two provides strong support for the
adequacy and the correctness of the numerical methods used in the simulations.
In summary, in the present mathematical model of a homogeneous vessel,
a uniform increase in wall tension induces a pattern characterized by
periodic constrictions and dilations. Such patterns have been observed
both in large and small blood vessels. The model reproduces many of the
key features observed experimentally. Most importantly, it suggests
that the sausaging phenomenon is neither caused by a mechanical failure
of the vessel wall due to a high blood pressure, nor is it due to
standing pressure waves caused by the beating of the heart. Rather, it
is the expression of a general instability phenomenon. Experimental
data suggest that the structural changes induced by the instability may
cause secondary damage to the vessel wall of small arteries and
arterioles in the form of endothelial hyperpermeability followed by
local fibrinoid necrosis.