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Biophys J, November 2000, p. 2667-2681, Vol. 79, No. 5
Harvard School of Public Health, Boston, Massachusetts 02115 USA
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ABSTRACT |
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We carried out a detailed mathematical analysis of the effects of length fluctuations on the dynamically evolving cross-bridge distributions, simulating those that occur in airway smooth muscle during breathing. We used the latch regulation scheme of Hai and Murphy (Am. J. Physiol. Cell Physiol. 255:C86-C94, 1988) integrated with Huxley's sliding filament theory of muscle contraction. This analysis showed that imposed length fluctuations decrease the mean number of attached bridges, depress muscle force and stiffness, and increase force-length hysteresis. At frequencies >0.1 Hz, the bond-length distribution of slowly cycling latch bridges changed little over the stretch cycle and contributed almost elastically to muscle force, but the rapidly cycling cross-bridge distribution changed substantially and dominated the hysteresis. By contrast, at frequencies <0.033 Hz this behavior was reversed: the rapid cycling cross-bridge distribution changed little, effectively functioning as a constant force generator, while the latch bridge bond distribution changed substantially and dominated the stiffness and hysteresis. The analysis showed the dissociation of force/length hysteresis and cross-bridge cycling rates when strain amplitude exceeds 3%; that is, there is only a weak coupling between net external mechanical work and the ATP consumption required for cycling cross-bridges during the oscillatory steady state. Although these results are specific to airway smooth muscle, the approach generalizes to other smooth muscles subjected to cyclic length fluctuations.
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INTRODUCTION |
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Load fluctuations are imposed continuously on airway smooth muscle and pulmonary vascular smooth muscle by the tidal action of breathing, and on muscular systemic arteries and arterioles by the pulsatile action of blood ejected from the heart. Smooth muscles in the urethra, urinary bladder, and gut are also subjected to periodic stretch. Imposed fluctuations in muscle load are a universal part of smooth muscle physiology.
It is well established that imposition of periodic load fluctuations on
smooth muscle inhibits development of active force and stiffness
(Warner and Gunst, 1992
; Gunst et al.,
1990
; Fredberg et al., 1997
). Although imposed
load fluctuations induce important plastic changes in the cytoskeleton
(Gunst et al., 1995
; Pratusevich et al.,
1995
), a major part of the force and stiffness inhibitions that
are observed are attributable to direct effects of tidal stretch upon
bridge dynamics (Fredberg et al., 1997
,
1999
). With respect to
activation, load fluctuations have little effect on subsequent
post-vibration contraction, and it is unlikely that changes in load
(stress) or length (strain) are responsible for modifying activation,
although this is still unclear (Klemt et al., 1981
;
Peiper et al., 1996
).
In a previous report we obtained insights into the contribution of
bridge dynamics by analyzing the rigid sliding filament model of muscle
contraction of Huxley modified to include latch regulation and the four
myosin states described by Hai and Murphy (1988a
, b
) and Fredberg et al. (1999)
. The
mathematical synthesis of the ideas of Huxley with those of Hai and
Murphy we refer to as HHM theory (Fredberg et al.,
1999
). Here we report a further analysis of HHM theory and
focus in particular on the myosin bond length distributions. We
examined how these distributions are perturbed by periodic changes of
muscle length and how these distributions lead to changes in muscle
mechanics and in the rate of ATP utilization. These results may help to
explain why airway narrowing is limited in healthy lungs, but can
become excessive in asthmatic lungs.
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METHODS |
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Hai and Murphy (1988a)
defined the four-state
myosin model to comprise free unphosphorylated myosin (M),
phosphorylated myosin (Mp), phosphorylated myosin attached to actin
(AMp), and unphosphorylated myosin attached to actin (AM, also called
latch bridges) (Fig. 1 A). As
in their work, we assumed that both AMp and AM cross-bridges have the
same stiffness, and that ATP binding is a prerequisite for detachment.
The transitions among the four states are governed by seven rate
constants (Fig. 1 A). Implicit in the scheme is that
cross-bridges cannot attach to actin unless they are first phosphorylated, i.e., the muscle is regulated exclusively by
Ca2+-dependent state transition rate constants,
k1 and k6 (which may vary
with time), mediated by calmodulin-dependent myosin light chain kinase
(MLCK). Hai and Murphy also assumed that the affinities of MLCK and
myosin light chain phosphatase (MLCP) for both attached and detached
cross-bridges are similar, i.e., k1
k6 and k2
k5.
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We assessed the relationship among the time-varying external load,
level of muscle activation, and actomyosin dynamics by computing
numerical solutions to the HHM theory. This theory can be written as
four coupled partial differential equations that express conservation
of each myosin species, which in vector form becomes,
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(1) |
/
t
V(t)
/
x, also called the convective derivative, where
V(t) is the velocity of the actin filament relative to
myosin filament and is traditionally taken to be positive during
shortening. This derivative expresses the time rate of change in a
coordinate system moving (convecting) with the myosin filament. It
contains two distinct terms: first, the independent rate of change with
time at fixed position x in the laboratory frame, and
second, the rate of change associated with motion of the moving myosin
filament where, due to the presence of spatial gradients, there is a
difference in cross-bridge populations entering and leaving the
differential element dx.
The 4 × 4 rate transition matrix T(x, t)
describes the probability of transitions between these states, and how
these probabilities vary with position of the myosin head. These
probabilities are important because, with any relative movement between
actin and myosin filaments, the myosin head may traverse regions that tend to favor attachment events, and some others that tend to favor
detachment events; the latter dominate where x is large and
or negative (Huxley, 1957
). The elements of
T(x, t) include both the
position-independent transitions between M and Mp and
between AM and AMp (phosphorylation and dephosphorylation of 20 kD
myosin light chain are driven by action of kinases and phosphatases
(Hai and Murphy, 1988a
, b
)), and position-dependent transitions
between Mp and AMp and between M and AM (attachment and detachment of
myosin to actin (Huxley, 1957
; Hai and Murphy, 1988b
)). As such, T(x, t) governs the
transition of chemical events into mechanical events and, importantly,
the converse as well. To set T(x, t), we used the rate
functions reported by Hai and Murphy after adapting them to include the
increased rate of detachment (g3) described by
Zahalak (1986)
in the region x > h,
where h is the range for positive probability of attachment (Huxley, 1957
). The rate transition matrix is:
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(2) |
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(3) |
AM) is negligible, which accounts for that 0 entry in
T. Note also that the Ca2+-dependent transition
rates k1 and k6 to the
phosphorylated states are explicitly shown as potential functions of
time. The magnitude of the above rate-dependent cross-bridge constants,
defined by fp1, gp1, and
g1, are chosen to match Murphy's
position-independent state transition rate constants,
k3, k4, and
k7, respectively, when relations (3) are
averaged over x. Specifically, the linear character of the
rate constants within 0
x
h implies, for example, that the average of fp(x) is
simply fp1/2. Thus we take fp1 = 2k3;
gp1 and g1 are evaluated
similarly. Finally, we evaluated the other time constants to be
gp2 = 4(fp1 + gp1) and
g2 = 20 g1 as defined in
Huxley (1957)Conservation of the number of cross-bridges (myosin heads)
Huxley (1957)
assumed that for every unoccupied
actin site there is always an available myosin head, and also that only
one myosin head per cross-bridge can attach at any instant of time. Thus, an available myosin head corresponds to a detached cross-bridge. This is correct for the isometric case, but when shortening or lengthening is allowed, some myosin heads are drawn away from the
attachment region R (defined to be the interval 0 < x < h, where fp is positive) while still
attached, and at the same time some unoccupied actin sites are moved
within R (Fig. 1 B). In order to satisfy Huxley's original
assumption, the attached myosin head that was convected outside R
(i.e., physically moved outside that region), cannot attach to the
actin site within R until that myosin head detaches. To correct for
this, following the work of Piazzesi and Lombardi
(1995)
, we specify that a myosin cross-bridge, which repeats
along the filament axis with a periodicity of
m, can
attach only to one actin site within R. We define
as a local coordinate of the actin site available in R (thus 0 <
< h). We also assume that after detachment a
cross-bridge rapidly (of order of tens of microseconds) regains its
original configuration, thus the myosin head can reattach to one actin
site in R, and therefore all detached states
nM(
, t) and
nMp(
, t)) are also only in R. This condition ensures that the total number of myosin species is
conserved. During lengthening or shortening, the attached myosin heads
convect out of R, decreasing the number of actin sites available for
the attachment in R. Thus, the requirement that the sum of the
probabilities over all possible states translates, for all
, to the
condition:
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a is the distance between actin sites
(conveniently assumed to be equal to h), and m
indexes the actin lattice, with spatial period
a.
Numerical solution
The vector n(x, t) is obtained by solving Eq. 1
numerically using the method of characteristics described earlier
(Mijailovich et al., 1996
). Specifically, integrations
were performed with 1000 time steps per cycle and with 800 length steps
per h. The instantaneous force was computed from the first
spatial moment of the attached cross-bridge state number distribution
nAMp(x, t) + nAM(x, t), integrated over all
x. Similarly, the instantaneous state population fractions,
denoted M(t), Mp(t), AMp(t), and AM(t), were computed from the zeroth
spatial moment of the number state distributions. In steady state,
M
,
Mp
,
AMp
, and
M
denote the respective average
values over one period. During isometric force development
instantaneous force is explicitly computed from n(x,
t).
The rate of ATP consumption was separately computed for each of the four transition processes indicated in Fig. 1:
the detachment of Mp from AMp:
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Mp
+
AMp
. Similarly, the average
myosin duty cycle is given by
AMp
+
AM
.
Initial conditions
We assumed that all cross-bridges were in the detached
unphosphorylated state in relaxed tissue, i.e.,
nM(x, 0) = 1, x
R; the
other population fractions being zero. Initially we take
k1 = k6 = 0, corresponding
to a [Ca2+] below the threshold for MLCK activation
(Hai and Murphy, 1988a
).
Loading conditions, time averaging, and dynamic moduli
We considered isometric force development at optimal length,
L0, and sinusoidal length variations about the
optimal length, L(t) = L0 +
L sin
2
ft, where
L is the stretch amplitude and f is frequency. Muscle activation is taken into account by
setting the phosphorylation rate constants k1(t)
and k6(t) to mimic the initial Ca2+
transient during force development (Hai and Murphy,
1988a
). The mean values of force, stiffness, and ATP
consumption were calculated by time-averaging their instantaneous
values over the tidal stretch cycle. From closed force-length loops
(see Note 1 at end of text) the values of muscle elastance,
E, and hysteresivity,
, were computed on a loop-by-loop
basis in the following manner. If D is energy dissipated
through external work per period of imposed cyclic stretch (i.e., area
within the force-length loop) and
F is the amplitude of
phasic force variation about F, then we use the following
relations, which remain useful even when the loop becomes
non-elliptical, which is indicative of nonlinear mechanical behavior
(Fredberg and Stamenovic, 1989
; Fredberg et al.,
1996
, 1997
),
E = (
F/
L) cos
, and
= tan
, where
= sin
1(D/
F
L). Force
(instantaneous and mean), stiffness (instantaneous and mean), and
E (only defined over a cycle) were normalized to the force,
stiffness, and stiffness, respectively, under fully developed isometric
conditions at 100% phosphorylation.
The numerical parameter values used in simulations were as follows. The
state transition constants for airway smooth muscle, adapted from
Hai and Murphy (1988a)
, were
k1(t) = k6(t) = (0.35s
1, 0 < t < 5 s; and
0.060 s
1, 5 s < t), k2 = k5 = 0.1 s
1,
k3 = 0.44 s
1,
k4 = k3/4 = 0.11
s
1, k7 = 0.005
s
1. The attachment and detachment rate constants of the
Huxley scheme fp1, gp1,
and g1, are taken to be twice
k3, k5, and
k7, respectively, in order to approximately
preserve the average values of the latter during force development (see
Note 2), namely fp1 = 0.88 s
1, gp1 = 0.22 s
1, g1 = 0.01
s
1. The other constants, related to x < 0, are gp2 = 4(fp1 + gp1) = 4.40 s
1 and g2 = 20gp1 = 0.20 s
1 (this proportion is
originally defined by Huxley, 1957
, and slightly adjusted by Hai and Murphy, 1988
b
), and related to
x > h are gp3 = 3gp1 = 0.66 s
1 and
g3 = 3g3 = 0.03
s
1 (Zahalak, 1986
). The remaining
parameters in the problem were taken to be 1) crossbridge strain is
36% of overall strain to account for the serial elastic component
(Mijailovich et al., 1996
); 2) the myosin distortion
displacement scale (h) is 15.6 nm (Huxley,
1957
); and 3) the sarcomere length is 2.2 µm (Hai and
Murphy, 1988b
). For scaling purposes, note that a crossbridge displacement of magnitude h corresponds to a whole muscle
strain of ~
=
L/L0 = 4%.
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RESULTS AND DISCUSSION |
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Bond length distributions during isometric force development
Fig. 2 shows the evolution of the bond distributions of the attached myosin populations, AMp and AM, during isometric force development. Before activation all myosin molecules are found in the unphosphorylated unattached pool (M); this pool becomes rapidly depleted with stimulus onset, however, as myosin molecules become phosphorylated and then attach to the actin filament forming the species AMp. During this early period of isometric force development, the spatial distribution of nAMp (x, t) is roughly linear in x, and corresponds closely to the linear spatial dependence of the attachment rate function in the region 0 < x < h (Fig. 2 A). As time passes, nAMp(x, t) becomes more spatially uniform, however, as attachment and detachment events approach a rough balance (Fig. 2, B-D). This balance is first achieved at positions close to x = h, where fp(x) and gp(x) are the largest (see dashed line in Fig. 2 B). As time passes, this equilibration process propagates toward smaller x, where rate constants are slower (Fig. 2 C). In the steady state, nAMp(x, t) approaches a limit that is approximately (but not exactly) constant with x (Fig. 2 D).
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The AM pool is the last to be populated, because it can grow only from
the developing AMp pool. At short times (t < 1 s)
nAM(x, t) is small compared to
nAMp(x, t), then gradually
increases. From the onset of contraction up to ~16 s, the
nAM(x, t) is
<nAMp(x, t), but has a roughly
similar shape due to the fact that the AMp
AM transition is
independent of x. The two distributions are approximately
equal at ~16 s (Fig. 2 C). At later stages of force development, the distributions approach their respective steady states
(Fig. 2 D), and the population of the AM pool exceeds that of the AMp for all x.
The bond length distributions of AMp and AM in the isometric steady
state (Fig. 2 D) correspond to a static equilibrium of myosin binding and is what Hai and Murphy called the "latch state." In this isometric steady state the distribution of
nAM(x, t) is clearly nonuniform. The
reason for this nonuniformity can be understood by considering a mass
balance of the AM species. Flux of molecules into the AM pool arises
from dephosphorylation of AMp, but that transition rate is independent
of position x. The net flux of molecules out of the AM pool,
however, arises from a detachment process (the AM
M pathway) that
favors a greater rate of detachment at greater values of x.
In the steady state these fluxes must be balanced and, as a result,
nAM(x, t) is spatially nonuniform.
Fig. 3 A shows the rapid
increase in phosphorylation during the early Ca2+ transient
(0-5 s), followed by a rapid increase in force F and instantaneous stiffness K. The increase in F and
K correspond to the increasing number of both AM and AMp
bridges. Both F and K continue to increase during
the subsequent decrease in phosphorylation, but at a much slower rate.
From roughly 5-16 s, this slow increase in F and
K is associated with transitions of bridges from the AMp
pool to the AM pool (compare the second and third panels of Fig. 2).
The final relative populations of the AMp and AM states depend upon the
level of fractional phosphorylation. In the example shown the
steady-state fractional phosphorylation is 0.375, for which the
population of AM bonds ultimately exceeds the AMp population. This
partitioning is typical for low levels of fractional phosphorylation and corresponds to the "latch state" (Hai and Murphy,
1988a
).
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Imposition of length fluctuations
As shown in Fig. 3, A-C, we imposed sinusoidal changes
in muscle length (
L = 1% of
L0) at t = 180 s, followed by a
change in amplitude to 4% of L0 at t = 245 s. These oscillatory perturbations in muscle length upset
the isometric binding equilibrium and cause it to adapt to a new
perturbed equilibrium of myosin binding. The dynamic steady state is
characterized by fewer attached bridges, lower mean force, lower
stiffness, and higher mean ATP consumption, even though the level of
phosphorylation remains unchanged. These effects are caused by
increased detachment of cross-bridges exposed to high detachment rates
when convected out of the attachment region (0 < x < h). It is interesting to notice that the instantaneous force,
F, and ATPcycl substantially vary over the
cycle, while the instantaneous stiffness, K, and populations
of AM and AMp species vary only modestly (Fig. 3, A-C,
t > 180 s). This behavior is fully determined by the
underlying cyclic changes in the cross-bridge bond distributions
n(x, t), to which we now turn.
Perturbed equilibria of myosin binding
Fig. 4 shows the underlying AMp and
AM bond distributions as a function of x at two amplitudes
and two frequencies. When subjected to very small tidal stretches
(
L/h < 0.5 or
< 2%), as shown in the left
column of Fig. 4, the middle portion of the steady-state nAM(x, t) and
nAMp(x, t) bond distributions
remains virtually the same as in the steady isometric condition. This
is because the cross-bridges there never leave the region 0 < x < h, where the ratio
fp/(fp + gp) is constant, and the effect of the much slower
detachment rate g (AM
M) is small. However, the left and
right shoulders of nAM(x, t) and
nAMp(x, t) sample the regions x < 0 and x > h for some fraction of
the cycle, and they are modified accordingly. The number of
cross-bridges in the shoulders decreases with increase of amplitude of
tidal stretch and/or increase of time that these populations of
cross-bridges spend during sampling these high detachment rate regions.
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For larger tidal stretches (x/h > 0.5 or
> 2%),
as shown in middle column of Fig. 4, all cross-bridges sample the
regions x < 0 and x > h, where no
attachment events occur and overall detachment rate functions (in
particular gp, driving the AMp
Mp
transition) are high. This causes a redistribution of
nAM(x, t) and
nAMp(x, t), with a general
depression in their overall levels, compared with the isometric steady
state. This reduction in the number of attached bridges, taken together
with the alterations of their distributions, are consistent with the
inhibition of force and stiffness caused by imposed tidal changes in
muscle length shown in Fig. 3 A. Indeed, at larger
amplitudes (>4%), not only the number of bridges is smaller, but also
AMp(t) is greater than AM(t) in contrast to both the isometric and low
amplitude cases, where the AM(t) population systematically exceeds the
AMp(t) population (Fig. 3 B, t < 245 s,
Fig. 4, left column).
This reversal of the AMp(t)/AM(t) ratio at larger length fluctuations is caused by an increased overall rate of detachment events for AMp and AM, and increased attachment events for Mp compared with isometric steady conditions or the small amplitude length variations. This is consistent with higher average cycling rates of attachment and detachment transitions, and with tidal stretch augmentation of both hysteresivity and the rate of ATPcycl utilization, as shown in Fig. 3 C.
When the frequency of sinusoidal length variations is small compared to the smallest typical rate constant (here given by g1h, the typical detachment rate for the latch bridges), both bond distributions, nAM(x, t) and nAMp(x, t), approach the steady-state distribution similar to the steady-state shortening or lengthening velocity profiles. In that circumstance the cyclic behavior approximates a sequence of quasi-steady dynamic states for shortening or lengthening (not shown). When the frequency is of order g2 (the next smallest rate), but still small compared to the rate constants of rapid cycling cross bridges, only nAMp(x, t) exhibits the quasi-steady-state distribution associated with the instantaneous muscle velocity, while nAM(x, t) significantly varies both in space and time. This is shown in Fig. 4, right column, where nAMp(x, t) approximates the steady "box" shape for all times except near t = 0; the time of maximum positive velocity. By contrast, nAM(x, t) displays a very complex shape throughout the cycle. At higher frequencies (larger than g2), nAM(x, t) convects back and forth during each cycle with a shape that is almost time-invariant, while nAMp(x, t) varies in space and time (not shown). At very high frequencies (much larger than gp2), however, both nAM(x, t) and nAMp(x, t) have shapes that are approximately time-invariant (not shown) and the muscle behaves as a purely elastic system.
Dynamically determined contractile states
Force-length loops
The instantaneous force generated by either rapidly cycling or latch bridges is proportional to the first moments of nAMp(x, t) and nAM(x, t), respectively. The total force is the sum of the forces from these two populations. As remarked above, at high frequencies the bond distribution shapes of both attached species are approximately time-invariant and simply shift back and forth during oscillation. The first moments of these convecting distributions are therefore proportional to the displacement, and thus all forces (partial and total) vary nearly linearly with length. At moderate frequencies and small amplitudes the latch bridge distribution, but not the rapidly cycling distribution, continues to approximate a more or less fixed shape which, by the argument above, contributes a force that is linear in displacement. By contrast, the rapidly cycling cross-bridge distribution changes substantially over time and displays a correspondingly hysteretic force/length characteristic. These two phenomena are shown in the upper left panel of Fig. 5.
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=
L/L0 = 4%) (see Note 3)
and the range of frequencies is comparable to the detachment rates
(e.g., the detachment rate constant gp1 = 0.22 s
1 is comparable to quiet breathing frequency in
humans of 0.2 Hz, or dogs of 0.30 Hz (Altman and Dittmer,
1974
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Fractional contributions of AMp and AM cross-bridges to mean force, stiffness, and hysteresivity: stretch amplitude and frequency-dependence
Fig. 7 shows the fractional contributions of AM and AMp bridges to mean force F, elastance E, and hysteresivity
, in the physiological
range of airway smooth muscle stretch amplitudes and frequencies. The
dashed lines, showing total F, E, and
, are the same as
previously reported (Fredberg et al., 1999
< 1%) AM contributed significantly more to F
and E compared to AMp. At higher stretch amplitudes, the
sharp drop in AM compared to the modest decrease in AMp results in a
decreased fractional contribution of AM to F; indeed, the
myosin species that contributes most to mean force reverses between
low- and high-stretch amplitudes. The fractional contributions of AM
and AMp to the elastance, E, follow roughly the same
pattern, but do not reverse. It can also be shown that the net
elastance is, like the total force, a strictly additive function of the
independent contributions of AM and AMp. Unlike the force and
elastance, hysteresivity is the stiffness weighted change of its two
components, and it is not additive. As expected from the time
constants, we see that at f = 0.33 Hz, hysteresivity of
AM is small, whereas hysteresivity of AMp is substantial and grows with
strain amplitude (see Fig. 7, lower left panel).
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is shown in Fig. 7, right panels. At this
particular amplitude, the fractional contributions of AM and AMp to
mean total F are about equal; all three decrease about
twofold from low to middle frequencies (0.01-0.5 Hz), and then plateau
for higher f. The fractional contributions of AM and AMp to
overall E displayed a similar plateau at high frequencies.
By contrast, in the low- to middle-frequency range, the contributions
of AM and AMp to elastance are strikingly different. Specifically, as frequency decreases, the elastance is determined almost entirely by AM
latch bridges.
Both AM and AMp display a sharp drop in hysteresivity with increasing
frequency. This drop for the rapidly cycling AMp bridges occurs about
one order of magnitude higher in frequency compared with the slower AM
bridges. This is consistent with, and indeed a necessary consequence
of, the fact that the rate constants for AMp bridges are about one
order of magnitude larger than the AM bridges. This sharp increase in
and decrease in E with decreasing frequency is typical
for a non-equilibrium phase transition (from solid-like or
elastic-to-liquid-like or plastic behavior (Fredberg et al.,
1999
are sharply
different, as expected from their different rate constants, but that
their contributions to total mean force F remain roughly
comparable. The origin of this is in the independent effects of
time-average cross-bridge strain and the variation of these strains
over the cycle, which are different for AMp and AM cross-bridges. In
particular, at low frequencies, the rapid cycling rates of AMp bridges
promote attachment and, on average, only modestly varying mean strain over the cycle. Because AMp bridges quickly adapt, keeping most of the
cross-bridges attached in the region (0 < x < h), they function essentially as constant force generators, with
low elastance. By contrast, the slower AM bridges cannot adapt as
quickly to the imposed length changes, and because of their slow
detachment rate, their mean strain varies significantly over the loop
more or less proportionally with imposed length variation. They are more elastic with high elastance and low hysteresivity.
Myosin duty cycle and energy cost of myosin binding
Myosin duty cycle
We define the myosin duty cycle to be the fraction of time that an average myosin head is attached to actin during steady-state length oscillations. This is equivalent to the time average of the fraction of attached bridges and is proportional to the time-average instantaneous muscle stiffness. At fixed frequency the duty cycle or average fraction of attached cross-bridges roughly parallels the behavior of both elastance and mean force as functions of strain amplitude, whereas at fixed strain amplitude, the duty cycle parallels the behavior of mean force, but not elastance as functions of frequency (Fig. 8 A). Thus, the duty cycle is rather more closely associated with mean force and average instantaneous stiffness than with elastance. The reason for this dissociation at low frequencies is that AMp bridges have enough time to adapt to a new length (and with further decrease in frequencies, also AM bridges), keeping most of the cross-bridges attached in the region (0 < x < h), increasing duty cycle (also maintaining high mean force and stiffness), in contrast to almost zero chord slope of AMp's force-length loops (for frequencies <0.033 Hz), that significantly decrease overall elastance.
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Cycling rates and energy consumption
The ATPase activity computed from the net rate of bridge cycling (exclusive of phosphorylation events) is shown as ATPcycl, and this quantity, together with the additional ATP consumption associated with phosphorylation events, defines the total, shown as ATPtot (Fig. 8 B). The mechanical work done by the imposed strains on the muscle per cycle is equal to the area enclosed by the force/length loop D; the power loss is given by the average work done on the muscle per unit time, or in terms of our previously defined quantities, by Df =
E
L2f
. Note first that the ATP consumption
associated with phosphorylation events (i.e.,
ATPtot-ATPcycl) is independent of strain
amplitude or frequency. Second, the mechanical power loss increases
much more sharply than ATPase activity as a function of strain
amplitude for fixed frequency, whereas the behaviors of the power loss
and ATPase are quite similar as a function of frequency for fixed strain amplitude. It is important to note that both chemical energy of
ATPase and the mechanical power loss are energy-dissipative processes.
The stretch-induced augmentation of the hysteresivity is attributable
in part to a direct mechanical effect at the level of cyclic
interaction of myosin and actin (Huxley, 1957
ATPiso). Increased time spent in regions favoring detachment would, in turn, account for an increased rate of bridge turnover and an elevated value of
.
At small strains (
< 0.25%), ATPcycl utilization is
almost entirely spent on isometric force maintenance, while dissipated mechanical energy (~
Ef
2) is small. At
large strains (
> 4%) and f ~ 0.33 Hz,
ATPcycl increased three times in order to maintain the
steady state, while dissipated rate of energy imposed on muscle
increased much more with strain, exceeding not only
ATPexcess, but also ATPcycl. However, this
excessive increase of
at stretches above 4% is not supported by
previously reported experimental data shown in Fig. 10 A
(from Fredberg et al., 1997
slightly decreases. Harry et
al., 1990
= 4%. At
= 8%, however, we note
two features. First, external power loss computed by HHM theory
significantly overestimates the experimentally determined power loss.
Second, the experimentally determined power loss is itself
significantly higher than the HHM-computed ATPase activity. These two
observations imply only a weak coupling between external mechanical
work (power) and the chemical energy (cyclic ATPase) required for
maintaining steady-state contraction.
A comparison of the ATPase behavior (Fig. 8, B and
C) and the mean force and stiffness (or fraction attached)
behavior (Fig. 8 A) as functions of both strain amplitude
and frequency shows that the depression of force and stiffness
associated with strain amplitude and frequency is accompanied by
increased ATPase activity. In other words, the perturbed equilibrium
requires external work to break the cross-bridges, which in turn raises
the myosin cycling rates and therefore the biochemical energy required
to maintain that dynamic equilibrium.
Hysteresivity and cross-bridge cycling rates
We have suggested previously that
is a reasonable index of
cross-bridge cycling rates (Fredberg et al., 1996
is
a good index of cross-bridge cycling rates for small amplitudes, but
departs at large strains, such as the 6% strain used by Shen et
al. (1997)
and cross-bridge cycling rates (i.e., loop average of
ATPcycl), by varying the level of myosin phosphorylation at fixed length fluctuations of 2% and frequency of 0.33 Hz (Fig. 9). We found an approximately linear
relationship between
and cross-bridge cycling rates. It is
interesting to notice that
approaches a positive value of ~0.11
in the limit as myosin phosphorylation approaches zero, while the
cross-bridge cycling rate approaches 0. To better understand this
behavior at very low levels of phosphorylation, we investigated the
relationship between
E and ATPcycl (also shown in Fig. 9). The HHM model predicts an almost linear relationship between
E and ATPcycl, consistent with the
observations of Fredberg et al. (1996)
and cross-bridge
cycling rates, which is even stronger if ATPcycl is
normalized by number of attached cross-bridges, or equivalently,
E is compared with ATPcycl (as explicitly
shown in Fig. 9).
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Is Huxley's two-state model sufficient to explain the effect of imposed cyclic tidal stretches?
Force depression with increasing strain amplitude, as shown in
Fig. 7, is also observed in skeletal muscle (Rack and Westbury, 1974
), which has been explained by the mechanism of Huxley's
two-state model (Zahalak, 1986
). In Fig.
10 the numerical solutions for the explicit HHM four-state latch regulatory scheme, integrated into Huxley's sliding filament model, are contrasted with experimental observations previously reported (Fredberg et al.,
1997
), and with the exact solutions for a two-state myosin
binding scheme (J. P. Butler, Howard University, personal
communication). The rate constants in the two-state scheme were
derived directly from those in the four-state scheme after the method
of Hai and Murphy (1988b)
, and are thought to represent
the best two-state approximation of the explicit four-state scheme at
the prescribed level of phosphorylation. Both theoretical schemes are
seen to capture the essential features of the data for steady-state
oscillatory conditions, but only for one particular level of
(steady-state) phosphorylation (Fig. 10 A). This is expected
because Huxley's original model is only a two-state analysis and, as
such, cannot directly address the questions of multiple myosin binding
states, partitioning of attached myosin between phosphorylated (rapidly
cycling), and unphosphorylated (slowly cycling) species in smooth
muscle (Hai and Murphy, 1988a
), or the stretch-induced
changes of that partitioning (Fredberg et al., 1999
;
Fredberg et al., in preparation). To investigate this
further, the predictions of the HHM and two-state approximation model
(with adjusted rate constants for particular steady-state levels of
myosin phosphorylation by using the method of Hai and Murphy,
1988b
) were compared for different levels of myosin
phosphorylation (Fig. 10 B). Both models predict a similar
increase of mean force and elastance (similar to Murphy
(1994)
in isometric preparation, but somewhat depressed by
cycling stretches), and
increases almost linearly. The two-state
approximation model consistently overestimated both mean force and
E at lower levels of myosin phosphorylation. Both models
show that coupling between Hai and Murphy's four-state scheme (1988a)
and Huxley's strain-dependent rate constants is essential to describe
the transient phosphorylation state (i.e., a continuously variable
cross-bridge cycling rate). The important strength of the four-state
model that is absent in any two-state approximation is the ability to
capture the dynamic features of varying levels of myosin
phosphorylation through its effect on bridge populations and ATP
consumption. Furthermore, the four myosin states are necessary to
account for the experimentally observed depression of quick-release
velocity-force curves generated at longer times during isometric force
development (Mijailovich et al., 1998
). Moreover, the
two-state approximation (of the four-state) model is not sufficient to
accurately account for the time course of the isotonic shortening
velocity after quick release because the internal resistance of the
attached cross-bridges also depends on distributions of attached
cross-bridges that can only be accounted for by the HHM model.
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Implications in bronchospasm
Experiments and HHM theory, taken together, suggest that
fluctuating mechanical strains imposed on the muscle are transmitted to
the myosin head and cause it to detach from the actin filament much
sooner than it would have in isometric circumstances. This premature
detachment profoundly reduces the duty cycle of myosin. In the case of
airway smooth muscle subjected to the load fluctuations associated with
breathing, the duty cycle is typically reduced to ~20% of its value
in the unperturbed isometric steady state, and total numbers of bridges
attached and active force are depressed to a similar extent. Of the
full isometric force generating capacity of the muscle, therefore, only
a small fraction ever comes to bear to narrow the airway. In asthma,
however, it is believed that the load fluctuations acting on myosin
somehow become compromised
perhaps due to inflammatory remodeling of
the airway wall. With dynamic unloading this potent inhibition is
removed and the muscle then generates the full complement of isometric
steady-state force appropriate to the stimulus. As a result, the airway
can narrow to the point of closure. This may explain why airway
narrowing is limited in the healthy lung but not in the asthmatic lung.
Several other mechanisms have been considered to explain the effects of
tidal stretch on airway smooth muscle mechanics; these include
stretch-activated neural pathways, stretch-activated prostanoid release, stretch-induced remodeling of the cytoskeleton,
length-dependent changes in Ca2+ sensitivity,
length-dependent myosin phosphorylation, and direct mechanical effects
of stretch on bridge dynamics (Pratusevich et al., 1995
;
Sasaki and Hoppin, 1979
; Fredberg et al.,
1999
; Gunst et al., 1995
; Mehta et al.,
1996
; Hai, 1991
). Although all these factors may
be important, a system as superficially simple as Huxley's two-state
sliding filament model embodies the essential changes of force,
stiffness, and hysteresivity that occur acutely with the onset of
sinusoidal stretch (Fig. 9). Therefore, features of Huxley's sliding
filament model point to the dominant underlying mechanism of these
stretch-induced changes; namely, disruption of the spatial distribution
of myosin binding along the actin filament and the sustained departure
of that bond distribution from the equilibrium distribution that
pertains in the isometric steady state (compare perturbed HHM bond
distributions in Fig. 4 and isometric steady state in Fig. 2
D).
On the basis of these results, it seems reasonable to conclude that the
dynamically determined contractile states that have been reported
previously in airway smooth muscle (Fredberg et al.,
1997
) are attributable in large part to the direct effects of
tidal stretch on bridge dynamics. Perturbed equilibrium of myosin
binding may have applicability in a variety of smooth muscle systems
that are routinely subjected to tidal loading, but seems to explain in
particular why tidal stretch of airway smooth muscle is such a potent
endogenous relaxing mechanism.
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NOTES |
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1. The force-displacements loops are closed only in oscillatory steady state. However, during force development and the transients during mean force adaptation to a different level of stretch amplitude, the instantaneous forces at the beginning and at the end of a cycle are somewhat different. Assuming linear change of the force difference over time, the open loops are closed by removing this trend and preserving the loop mean force.
2. The factor of 2 arises from the most parsimonious method
of preserving the spatial mean attachment and detachment fluxes (given
by the product of the respective rate functions and bond distributions). It is exact when the bond distribution is uniform. During force development the bond distributions are not uniform; the
ratio of mean flux to the product of mean rate function and mean bond
distribution departs from a constant and would correspond to this
factor ranging from 1.5 to 2.75 (see also Yu et al.,
1997
). However, the force during force development is not too
sensitive to this effect; it differs from Hai and Murphy's
(1988a)
31 results by <3%.
3. Cross-bridge displacement of magnitude h
corresponds to a whole muscle strain of ~
= 4% if cross-bridge
strain is taken to be 36% of overall strain in order to account for
the serial elastic component (Mijailovich et al., 1996
).
If we also assume that muscle stretch scales isotropically as the cube
root of lung volume change (Hughes et al., 1972
), then
normal tidal lung inflation from FRC would correspond roughly to
= 4%, a sigh from FRC would correspond to
= 12%, and inflation from
FRC to total lung capacity would correspond roughly to
= 25%
(Fredberg et al., 1997
).
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ACKNOWLEDGMENTS |
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This work was supported by National Institutes of Health Grants HL 33009 and HL 59682.
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FOOTNOTES |
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Received for publication 17 March 2000 and in final form 3 August 2000.
Address reprint requests to Srboljub M. Mijailovich, Physiology Program, Department of Environmental Health, Bldg. I, Room 1304e, Harvard School of Public Health, 665 Huntington Avenue, Boston, MA 02115. Tel.: 617-432-3482; Fax: 617-432-4710; E-mail: smijailo{at}hsph.harvard.edu.
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REFERENCES |
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