J Appl Physiol 95: 469-476, 2003;
doi:10.1152/japplphysiol.01115.2002
8750-7587/03 $5.00
Heterogeneous capillary recruitment among adjoining alveoli
William A. Baumgartner, Jr,1
Eric M. Jaryszak,2
Amanda J. Peterson,1
Robert G. Presson, Jr,1 and
Wiltz W. Wagner, Jr1,2,3
Departments of 1Anesthesia,
2Cellular and Integrative Physiology, and
3Pediatrics, Indiana University School of Medicine,
Indianapolis, Indiana 46202
Submitted 4 December 2002
; accepted in final form 7 March 2003
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ABSTRACT
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Pulmonary capillaries recruit when microvascular pressure is raised. The
details of the relationship between recruitment and pressure, however, are
controversial. There are data supporting 1) gradual homogeneous
recruitment, 2) sudden and complete recruitment, and 3)
heterogeneous recruitment. The present study was designed to determine whether
alveolar capillary networks recruit in a variety of ways or whether one model
predominates. In isolated, pump-perfused canine lung lobes, fields of six
neighboring alveoli were recorded with video microscopy as pulmonary venous
pressure was raised from 0 to 40 mmHg in 5-mmHg increments. The largest group
of alveoli (42%) recruited gradually. Another group (33%) recruited suddenly
(sheet flow). Half of the neighborhoods had at least one alveolus that
paradoxically derecruited when pressure was increased, even though neighboring
alveoli continued to recruit capillaries. At pulmonary venous pressures of 40
mmHg, 86% of the alveolar-capillary networks were not fully recruited. We
conclude that the pattern of recruitment among neighboring alveoli is complex,
is not homogeneous, and may not reach full recruitment, even under extreme
pressures.
pulmonary microcirculation; isolated perfused lung lobes; video microscopy; dogs
PULMONARY CAPILLARIES ARE recruited with increasing
microvascular pressure. Different investigators, however, have found different
patterns of recruitment. With the introduction of the zone model, West et al.
(31) showed that pulmonary
blood flow increased down a vertical gradient as pulmonary arterial and venous
pressures increased relative to alveolar pressure. Glazier and colleagues
(6) studied red blood cell
distributions in rapidly frozen lungs and showed that there was gradual,
homogeneous recruitment as capillary pressure increased, especially in zone 2.
Fung and Sobin (5) developed
the sheet flow theory, which suggested that the entire capillary bed opened
suddenly and completely as capillary transmural pressure exceeded alveolar
pressure. This hypothesis was supported experimentally by Sobin et al.
(19), who studied latex casts
of the capillary bed. Godbey et al.
(9) showed in excised lungs
that sheet flow tended to occur at low airway pressure when alveoli were not
highly distended, whereas gradual recruitment tended to occur in more
distended alveoli. Although the zone and sheet flow models predict homogeneous
recruitment, Warrell et al.
(28), studying rapidly frozen
lungs under zone 2 conditions, found an uneven distribution of capillary red
blood cells within areas likely to have been supplied by a common arteriole.
The scatter in the data of Godbey et al. as capillaries recruited suggests
confirmation of the Warrell data, i.e., that capillary recruitment could be
heterogeneous. West et al.
(32), using an elegant
computer model, deduced that recruitment in a network of resistors could be
heterogeneous. Nevertheless, the variety of models, each based on credible
evidence, does not present a coherent picture of how alveolar capillaries
recruit. The present study was designed to determine whether, at a given
degree of alveolar inflation, alveolar capillaries recruit in a variety of
ways, or whether one model predominates. To investigate these issues, we
studied capillary recruitment directly, using video microscopy as capillary
transmural pressure was gradually increased under zone 2 conditions into zone
3 conditions.
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METHODS
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Experimental preparation. In accordance with institutional
guidelines, healthy adult male mongrel dogs (2024 kg, n = 6)
were anesthetized by intravenous injection of pentobarbital sodium dissolved
in 0.9% saline (3040 mg/kg). The animals were intubated and ventilated
with room air (Harvard Apparatus 607D). After administration of heparin (1,000
U/kg), the animals were rapidly exsanguinated through the left common carotid
artery. During exsanguination, the first 120 ml of blood removed were replaced
with 120 ml of 10% Dextran 40 (40 kDa) in saline
(4). After a left thoracotomy,
the left lower lobar pulmonary artery was cannulated with a 6-mm ID Teflon
fluorinated ethylene polypropylene cannula. The left lower lobe was then
excised, along with a cuff of left atrium, and placed on a microscope stand.
The left atrial cuff was secured around another Teflon cannula (10-mm ID), and
the lobe was perfused with autologous heparinized whole blood. Care was taken
to exclude all air bubbles from the circuit before perfusion was initiated.
The time interval to reperfusion was <30 min.
Blood was pumped (Masterflex 7522-10 pump drive and 7024-20 pump head)
through a windkessel to dampen pump vibrations and trap bubbles, a filter
(20-µm pore size, Fenwal 4C2423) to remove microaggregates, and a heat
exchanger (Bentley HE-100) to warm the blood to 3738°C before it
entered the lobe (Fig. 1).
Venous blood drained passively from the lobe into a reservoir. Adjusting the
height of the reservoir changed pulmonary venous pressure. The lobe was
ventilated (Harvard Apparatus 607D) with a mixture of 6% CO2-17%
O2-77% N2. Blood gases were sampled from the pulmonary
venous line and analyzed with an Instrumentation Laboratories model 1304
blood-gas analysis machine. Sodium bicarbonate solution (1 meq/ml) was added
to the venous reservoir periodically to neutralize metabolic acid.
Polyethylene catheters (40 cm long, 1.19 mm ID, 1.70 mm OD) were threaded via
the arterial and venous cannulas so that their tips were just within the lobar
artery and vein, respectively. These catheters were connected to transducers
(Statham P23 XL) that were zeroed at the level of microcirculatory
observation. Pulmonary arterial and venous pressures were monitored
continuously by use of a personal computer and monitoring software. The lobe
was suspended by two small spring-backed paperclips attached to opposite edges
of the lobe and was raised until the uppermost pleural surface contacted a
1.3-cm2 transparent window. The window was surrounded by a vacuum
ring to prevent lateral tissue movement
(22). The remainder of the
lobar surface was covered with a thin plastic sheet to prevent drying and to
slow the transpleural diffusion of gas.

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Fig. 1. Schematic of apparatus used to perfuse left lower lung lobe. CCD,
charge-coupled device; PA, alveolar pressure; Ppa, pulmonary
arterial pressure; Ppv, pulmonary venous pressure.
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Microcirculatory observations. The subpleural microcirculation
under the window was observed with a Leitz Ultropak surface-illuminating
microscope (x11 objective) coupled to a 200-W mercury arc lamp. The
light was heavily filtered to prevent tissue damage by infrared and
ultraviolet light. A narrow band-pass interference filter was used to
illuminate the field with the mercury green line (546 nm). This wavelength is
absorbed by hemoglobin, thereby increasing the contrast between the
erythrocytes and surrounding tissue
(23).
Video recordings of the subpleural microcirculation were made with a Sony
SVO-5800 SVHS video recorder and a Videoscope (model 200E)
charge-coupled-device camera attached to the microscope. The average final
magnification of the video recording was x400. In each preparation, a
field was selected for observation that consisted of six neighboring
subpleural alveoli in which the capillary segments were clearly visible and
were fed by a single arteriole and drained by a single venule.
The pump flow rate was set to perfuse about one-half of the observed
capillaries, placing the lobe in zone 2. To increase capillary transmural
pressure, pulmonary venous pressure was raised in 5-mmHg increments from 0 to
40 mmHg. Airway pressure was held constant throughout the experiments at 5
mmHg. At a pulmonary venous pressure of 5.0 ± 0.1 mmHg (mean ±
SE), the pulmonary arterial pressure was 13.0 ± 0.8 mmHg, producing an
arteriovenous pressure difference of 8.0 ± 0.9 mmHg. At the highest
pressure when pulmonary venous pressure was 39.9 ± 0.5 mmHg, pulmonary
arterial pressure was 42.8 ± 0.4 mmHg, producing an arteriovenous
pressure difference of 2.9 ± 0.5 mmHg. The field of six alveoli was
recorded for 1 min at each of the nine venous pressures. Ventilation of the
lobe was paused and pressures were allowed to stabilize before each
recording.
Data analysis. The recordings made during the observation periods
were replayed, and two independent observers traced the perfused capillary
segments onto separate sheets of transparency film placed over a video
monitor. A capillary was defined as a vessel crossing an alveolar wall and
perfused only by single red blood cells moving in series. A capillary segment
was defined as any capillary between junctions with another vessel or between
a junction and the alveolar boundary. A capillary segment was considered to be
perfused if one or more red blood cells passed through the segment during the
1-min video recording. A master tracing based on agreement between independent
observers was made that included all of the capillaries that were perfused
during any of the observation periods, and those capillary segments were
assigned unique numbers; these tracings represented the maximum observable
number of capillaries in each alveolar network.
To compare the levels of capillary recruitment between neighboring alveoli,
the capillary perfusion index
(1,
2,
11,
13,
17,
24,
25) was computed for each
alveolus during every observation period. We measured the length of each
perfused capillary from the master tracings with a digitizing pad (Houston
Instruments Truegrid 1017), planimetry software (SigmaScan, Jandel
Scientific), and a personal computer. The areas of the observed alveolar walls
were also measured by using the same system. From these measurements, the
capillary perfusion index during each observation period was calculated as
 | (1) |
Because subpleural alveolar facets in the upper lung can be approximated by
flat discs with an average diameter of 110 µm and an area of 10,000
µm2 (22), the
alveolar wall area was divided by 10,000 µm2 to obtain the
number of average walls in the observed alveolar facet. This normalization
permitted us to compare results between individual alveoli and between
animals. Dividing the total length of perfused capillaries by the normalized
alveolar area indicated how many times perfused capillaries crossed an average
alveolar wall at its diameter. The level of capillary recruitment, therefore,
can be estimated from the capillary perfusion index. For example, a capillary
perfusion index of 110 µm can be visualized as a capillary path length that
would cross the 110-µm diameter of an average alveolar facet once. To
compare alveoli, the capillary perfusion index for each observation period was
converted into a percentage of maximum capillary perfusion index, which was
calculated as the capillary perfusion index when all observed capillaries from
the master tracing were perfused.
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RESULTS
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On average, at the alveolar pressure used in this study, alveolar capillary
networks recruited gradually as pulmonary venous pressure was increased
(Fig. 2). However, the
recruitment pattern among neighboring alveoli was heterogeneous. Four
different variations in the pattern of recruitment were observed with
increasing venous pressure, i.e., capillary transmural pressure: 1)
gradual recruitment, 2) recruitment in a steplike manner, 3)
a stable level of recruitment without change, and 4)
derecruitment.

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Fig. 2. Average capillary perfusion index (mean ± SE) at each of 9 venous
pressures in 5-mmHg increments from 0 to 40 mmHg. Data were pooled by the
method of Poon (15)
(n = 36 alveoli). On average, capillary perfusion index increased as
pulmonary venous pressure increased.
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Gradual recruitment. Capillaries in 15 of 36 alveoli (42%)
recruited gradually (Fig. 3,
alveolus B and Fig.
4). This pattern was similar to the average response of all
subpleural alveoli to increasing capillary transmural pressure at this
inflation pressure (Fig. 2).
The gradual recruitment response plateaued at a pulmonary venous pressure of
2530 mmHg.

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Fig. 3. Neighborhood of 6 alveoli with perfused capillary segments drawn at each of
9 venous pressures (Pv) in 5-mmHg increments from 0 to 40 mmHg. Alveolus
A, step recruitments; alveolus B, gradual recruitment;
alveolus C, derecruitment.
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Fig. 4. Capillary perfusion index as percentage of maximum at each 5-mmHg increment
from 0 to 40 mmHg venous pressure for alveolus B,
Fig. 3, the gradually
recruiting alveolus.
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Sudden recruitment (sheet flow). In 12 of 36 alveoli (33%), the
capillary network recruited suddenly, like a sheet, with increasing capillary
transmural pressure (Fig. 3,
alveolus A and Fig.
5). Of these rapidly recruiting alveoli, 67% recruited at the
510 mmHg pressure step, the range at which alveolar pressure was
exceeded. Of the remaining four alveoli that recruited in this manner, three
did so at the 1015 mmHg pressure step, somewhat above alveolar
pressure.

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Fig. 5. Capillary perfusion index as percentage of maximum at each 5-mmHg increment
from 0 to 40 mmHg venous pressure for alveolus A,
Fig. 3, the rapidly (step)
recruiting alveolus.
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Stable recruitment. The level of capillary recruitment of six
alveoli (17%) remained relatively unchanged over the course of incremental
increases in pulmonary venous pressure. In each case, as in the example shown
in Fig. 6, alveolus A
and Fig. 7, the alveolus was
highly recruited at a venous pressure of 0 mmHg, indicating that the opening
pressure for most segments in these particular alveoli was low.

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Fig. 6. Neighborhood of 6 alveoli with perfused capillary segments drawn at each of
9 venous pressures in 5-mmHg increments from 0 to 40 mmHg. Alveolus
A, steady levels of recruitment; alveolus B, gradual
recruitment. Arrow highlights a capillary segment in which perfusion turns on
and off.
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Fig. 7. Capillary perfusion index as percentage of maximum at each 5-mmHg increment
from 0 to 40 mmHg venous pressure for alveolus A,
Fig. 6, a stable alveolus.
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Derecruitment. Of the six dogs studied, three had one alveolus
that paradoxically derecruited >20% in response to increased pulmonary
venous pressure, while the neighborhood of alveoli continued to recruit
(Fig. 3, alveolus C
and Fig. 8).

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Fig. 8. Capillary perfusion index as percentage of maximum at each 5-mmHg increment
from 0 to 40 mmHg venous pressure for alveolus C,
Fig. 3, a derecruiting
alveolus.
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Recruitment not reaching a limit. Capillary recruitment was not
complete at pressures of 40 mmHg in 86% of the alveoli studied, a surprising
finding. The maximum capillary perfusion index, as determined by the
accumulation of all of the capillaries that were perfused at some point during
the experiment, was 456 ± 19 µm (mean ± SE), whereas the
capillary perfusion index at 40 mmHg was 378 ± 17 µm, a difference
of 15% (P < 0.05 by two-tailed t-test).
Blood gases were in the normal range for this type of preparation.
Measurements made at the beginning were not different from those made at the
end of the study (Table 1).
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DISCUSSION
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We studied the patterns of recruitment of neighboring subpleural alveolar
networks as capillary transmural pressure was raised, changing the perfusion
conditions from zone 2 to zone 3. Although the average recruitment pattern was
gradual, the recruitment patterns of individual networks were heterogeneous.
With increasing capillary transmural pressure, some alveoli recruited
gradually, some recruited suddenly as in sheet flow, some were fully recruited
at low pressure and did not recruit further, and some derecruited. A large
majority of alveoli were not fully recruited, even at very high transmural
pressures.
Several issues need to be considered in interpreting these data. First, we
assumed that subpleural capillaries recruit and derecruit the same way as
capillaries in the rest of the lung. The subpleural capillary network is less
dense than interior networks
(10,
14,
21) and therefore might not
recruit in the same way as interior capillaries. However, Short et al.
(18) demonstrated that
recruitment in subpleural capillaries accurately reflected recruitment in
interior capillaries, indicating that our observations of recruitment patterns
represent the recruitment patterns of the lung as a whole.
Second, we assumed stable, equivalent perfusion conditions for every
alveolus at each pressure step. If that were not the case, each alveolus would
be responding to independent hemodynamic conditions. We assumed equivalent
conditions because 1) the adjacent alveoli were in close proximity;
2) the neighborhoods of alveoli, on the basis of red blood cell flow
patterns, appeared to have been fed by a single arteriole and drained by a
single venule; 3) ventilation was suspended during the recording,
which maintained constant alveolar pressure; and 4) the
arterial-venous pressure gradient narrowed to low levels as pulmonary venous
pressure was raised (<3 mmHg at a flow rate of 250 ml/min at the highest
pressure). This combination of conditions would be expected to produce uniform
capillary transmural pressures across the observed field. It should be pointed
out, however, that once red blood cells enter each capillary bed and begin
their transit across the complex series of alveolar capillary networks toward
the draining venule, holding inlet and outlet pressures constant does not
assure that subtle pressure gradients will not be continually altering among
individual capillary segments. In fact, there is substantial evidence that
continual switching does occur among capillaries during steady perfusion
conditions, which suggests that intranetwork gradients do alter rapidly
(27).
Third, we assumed reproducibility of recruitment throughout the experiment.
We verified this in three additional preparations in which pulmonary venous
pressure was raised in 5-mmHg steps from 0 to 25 mmHg and then lowered back to
0 mmHg. Similar levels of recruitment were measured at each pressure step
whether raising or lowering pulmonary venous pressure (P = 0.66).
These experiments showed that there was neither hysteresis in the
pressure-recruitment relationship nor any effect caused by differing flow
histories among the alveoli in our preparation. This is consistent with the
study of Presson et al. (17),
who found that capillary opening pressures were stable, which also supports
the idea that the average level of recruitment at each pressure step is stable
and reproducible.
Finally, we also assumed that a 1-min observation period would provide
sufficient time to determine the level of capillary recruitment. Jaryszak et
al. (13) showed that the
recruitment response to a step change in flow was complete in <4 s. In a
recent study, Presson et al.
(16) showed that 92% of
capillaries opened by a systolic pressure pulse remained open during diastole,
demonstrating that the capillary recruitment response is impressively rapid.
These data show that, during our 1-min observation period, we were not
measuring a transitional state in the circulation but specifically the effect
of each transmural pressure on the level of recruitment within each
alveolus.
The challenge in interpreting the data in the present study is to
understand how so many recruitment patterns can exist simultaneously among
immediately neighboring alveoli. Given that the arterial-venous pressure
gradient across the entire lobe was narrow, the capillary transmural pressures
were likely to be similar in a local neighborhood of alveolar walls. The
equivalence of local transmural capillary network pressures is supported by
the requirement that the observed alveolar walls, on the basis of
microcirculatory flow patterns, appear to have been fed by a single arteriole
and drained by a single venule. Finally, ventilation of the lobe was stopped
during the videotaping. We thought that controlling these variables would lead
to stable and equivalent microhemodynamic conditions. Yet the recruitment
patterns among neighboring alveoli were impressively different.
Some explanations seem straightforward. First, the alveoli that were fully
recruited at venous pressures of 0 mmHg and remained perfused as pressure was
raised likely had uniformly low opening pressures that were exceeded by the
lowest capillary transmural pressure used.
Second, some individual capillary segments within single capillary networks
paradoxically derecruited as pressure was raised
(Fig. 6, see arrows). That
observation indirectly supports a prediction made by West et al.
(32) using a computer model of
a capillary network. In that study, 50 independent elements were arranged in a
grid, and "pressure" was raised across that grid. By solving
Kirchhoff's laws for each circuit within the grid, recruitment vs. pressure
could be studied. In general, increasing pressure caused recruitment. There
were, however, elements (capillary segments) that derecruited as pressure was
raised. Flow in these elements depended on the gradient between the feeder and
drainer capillaries. In a complex network, however, pressure gradients between
feeders and drainers could fall to zero as elements in other parts of the
network are recruited, which would cause that element to close (derecruit). In
other circumstances, the pressure in the drainer could exceed the feeder
pressure, thus reversing the direction of flow, as predicted by West et al.
(32) and observed in these
experiments.
By analogy, each alveolus in the midst of an array of other alveoli has to
be fed and drained by other alveoli. This is the result of blood having to
cross an average of a half-dozen alveolar walls to travel from the feeding
arteriole to the draining venule
(20). We never observed
reversal of flow in an entire alveolar network, but we did find examples of
flow stopping completely in some alveoli as pressure was raised
(Fig. 3, alveolus C).
There were a number of examples of single alveoli derecruiting by 2040%
during a 5-mmHg pressure rise. This observation can be accounted for by
alterations of the pressure gradient between feeding networks and draining
alveolar networks, analogous to the alterations in flow in single capillary
segments.
The third pattern observed for some alveoli was gradual recruitment as
pressure was raised until a plateau was reached. This finding supports the
observations of Glazier et al.
(6) studying rapidly frozen
lungs and studies from our own laboratory using in vivo microscopy
(3,
2426).
This pattern of gradual recruitment reflected the average pattern for all of
the alveoli (Fig. 2). It is an
intuitively attractive pattern; i.e., if there is a range of opening pressures
in the capillary network, then capillaries will be recruited as their
individual opening pressures are exceeded, and then a plateau will be
approached as the maximum number of capillaries is approached.
The fourth observed pattern in this study was capillary recruitment
occurring suddenly as capillary transmural pressure exceeded alveolar
pressure, consistent with the idea of sheet flow described by Fung, Sobin, and
colleagues (5,
19). Godbey et al.
(9) showed that, as capillary
transmural pressure exceeded alveolar pressure, the capillary networks tended
to recruit as a sheet when alveoli were relatively undistended. In more
distended alveoli, the average recruitment was gradual as capillary pressure
was raised. These observations resolved the lengthy conflict between sheet
flow vs. gradual recruitment: the type of recruitment depended on the degree
of distension of the alveoli. Of course, if the inflation pressure in the
present study was set at a higher or lower value, the prevalence among the
patterns would likely alter. We chose an inflation pressure of 5 mmHg and set
the pump rate to perfuse about half of the capillaries when venous pressure
was zero at the level of the observed capillaries. This placed the network at
the boundary of zones 2 and 3 and provided us with the opportunity to study
the pattern of recruitment as the network was exposed to increasing transmural
pressure.
This concept of sheet flow in undistended alveoli and gradual recruitment
in distended alveoli appears to be confounded by the present study, which
shows that one alveolus may have recruited as a sheet while its next-door
neighbor recruited gradually, even though the alveolar pressure was constant
throughout the lobe. A potential way to resolve this conflict came from the
study of Glazier and colleagues
(7), who measured the vertical
distribution of alveolar diameters in rapidly frozen lungs. In the lungs
frozen at a positive pressure of 5 cmH2O
[Fig. 6 in their publication
(7)], the curve for the
vertical distribution of alveolar volumes closely approximated the
distribution for normal lungs. The SD for alveolar volumes in the upper lung
was five times as large as the SD for the lower lung, i.e., the range of
alveolar sizes was much greater in the upper lung. Because our lungs were
inflated to approximately the same degree (5 mmHg) and our observations were
made of the upper lung, we thought our alveolar diameters might be
heterogeneous as well. That was the case: our average alveolus was 111.3 µm
in diameter with a large SD of 27.5 µm. From these data, we deduce that in
the upper lung a given alveolus, embedded in an array of many other alveoli,
is not likely to be distended to the same extent as its immediate neighbors,
even though the alveolar pressure is the same between neighbors. If that is
the case for our modestly inflated lung lobes, we reason that neighboring
alveoli will recruit differently according to the individual degree of
distension: some will recruit as a sheet, whereas more distended neighbors
will recruit gradually as capillary pressure is raised.
Our observations also support the idea of the apparently
"limitless" capillary reserve as described by Hsia et al.
(12), or at least a limit not
reachable even under extreme physiological conditions. They found that, after
right pneumonectomy, the physiological reserve of a canine lung was not
exceeded, even during peak exercise. In their study, diffusing capacity of
carbon monoxide, pulmonary blood flow, and capillary blood volume continued to
increase without evidence of reaching an upper limit, even at a cardiac output
equivalent to 34 l/min. In our experiments, 86% of the alveolar capillary
networks observed were not fully recruited at a pulmonary venous pressure of
40 mmHg.
We were surprised by the variability of the recruitment response among
neighboring alveoli. This finding adds to the growing list of complex
characteristics of the pulmonary circulation: the fractal character of the
branching pattern of the vessels
(30) and the resultant
heterogeneous distribution of pulmonary blood flow
(8); the fractal patterns of
perfusion of individual capillary networks, which lead to independence of
adjoining alveoli creating a robust design
(27); and, in this study, the
heterogeneity in recruitment shown by neighboring alveoli in response to
increasing capillary transmural pressure. The complicated patterns we have
observed in subpleural alveolar walls must be unimpressive compared with
recruitment patterns in the interior of the lung, because our observations are
limited to a two-dimensional, flat surface perfused through a relatively
coarse network. In the interior, arterioles spray into a series of alveolar
walls spread over three dimensions and comprised of doubly dense, partially
fused networks (10), a
considerably more complicated arrangement. Finally, we have not considered
whether there are active components, such as locally released vasoactive
factors, in response to increased shear or vessel wall stretch; if true, these
add another layer of complexity, yet to be explored. One conclusion from this
accumulation of data is that the ubiquitous one-airway, one-alveolus,
one-capillary model of the lung, although so useful for teaching, is far
removed from the complex reality of pulmonary perfusion on a microscopic
level.
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DISCLOSURES
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This research was supported by National Heart, Lung, and Blood Institute
Grant HL-36033.
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ACKNOWLEDGMENTS
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Drs. Ronald Capen, William A. Baumgartner, Sr., and Teresa Wagner provided
valuable editorial comments. Gary Schmitt did a commendable job with the
artwork.
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FOOTNOTES
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Address for reprint requests and other correspondence: W. W. Wagner, Jr., MS
425, Dept. of Cellular and Integrative Physiology, Indiana Univ. School of
Medicine, 635 Barnhill Drive, Indianapolis, IN 46202-5120. (E-mail:
wwagner{at}iupui.edu).
The costs of publication of this article were defrayed in part by the
payment of page charges. The article must therefore be hereby marked
"advertisement" in accordance with 18 U.S.C. Section 1734
solely to indicate this fact.
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