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J Appl Physiol 91: 459-473, 2001;
8750-7587/01 $5.00
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Vol. 91, Issue 1, 459-473, July 2001

alpha -Actin: disposition, quantities, and estimated effects on lung recoil and compliance

E. H. Oldmixon1, K. Carlsson2, C. Kuhn III1, J. P. Butler3, and F. G. Hoppin Jr.1

1 Departments of Medicine and Pathology, Memorial Hospital of Rhode Island and Brown University, Pawtucket, Rhode Island 02860; 2 Biomedical and X-ray Physics, Royal Institute of Technology, Stockholm, SE-10044 Sweden; and 3 Physiology Program, Harvard School of Public Health, Boston, Massachusetts 02114


    ABSTRACT
TOP
ABSTRACT
INTRODUCTION
METHODS
MODEL
RESULTS
DISCUSSION
APPENDIX
REFERENCES

We have investigated the basis and implications of pneumoconstriction by measuring disposition and quantities of alpha -smooth muscle actin in rat and guinea pig lungs and modeling its effects on lung recoil and compliance. A robust marker of contractility, alpha -smooth muscle actin appears in smooth muscle or myofibroblast-like cells in pleura, airways, blood vessels, and alveolar ductal tissues. In each site, we measured its transected area by immunofluorescent staining and frequency-modulated scanning confocal microscopy. We incorporated these data in a model of the parenchyma consisting of an extensive elastic network with embedded contractile structures. We conclude that contraction at any one of these sites alone can decrease parenchymal compliance by 20-30% during tidal breathing. This is due mostly to the stiffness of activated contractile elements undergoing passive cycling; constant muscle tension would have little effect. The magnitude of the effect corresponds with known responses of the lung to hypocapnia, consistent with a homeostatic function in which gas exchange is defended by redistributing ventilation away from overventilated units.

alveolar duct; intensity-modulated multiple-wavelength scanning confocal microscopy; lung compliance; ventilation-perfusion ratio; hypocapnia


    INTRODUCTION
TOP
ABSTRACT
INTRODUCTION
METHODS
MODEL
RESULTS
DISCUSSION
APPENDIX
REFERENCES

A VARIETY OF CONSTRICTING AGENTS can increase the lung's elastic recoil pressure and elastance (3, 6, 7, 25, 30, 42), and conversely relaxing agents can decrease its elastic recoil pressure (9). The static and passive dynamic properties of strips cut from lung parenchyma are influenced by smooth muscle agonists (10, 17, 32, 38, 50). Hypocapnia can reduce the lung's dynamic compliance on the order of 30% (1, 18, 41, 43, 48, 49), and this may represent a mechanism for control of ventilation (6, 18).

The source of this contractility, however, is unclear. Structural considerations suggest that contractile elements in the airways, blood vessels, or alveolar ducts can draw in on the surrounding parenchyma, thereby increasing its tensions. Contractile interstitial cells located within the alveolar walls themselves might increase the tensions of the alveolar parenchyma (19, 50). Airways acting alone may have an effect, because selective pharmacological constriction of conducting airways substantially reduces quasi-static and dynamic lung compliances (30). Other locations may also have independent effects, because agonists can change tissue dynamic properties independently of airway resistance (17). Furthermore, it has been argued that the contractility observed in subpleural strips of lung parenchyma may not be due to vascular or airway smooth muscle contraction (10, 19, 38).

We thought that some insight might be gained from knowing more about the contractile material in each location and estimating the effects of each on lung recoil and compliance. Accordingly, we chose alpha -smooth muscle actin as a major marker of contractile capability, and we applied a variety of microscopic techniques to sections of rat and guinea pig lungs to characterize the cells that contained it and to determine its locations and quantities in the lung parenchyma. We then modeled its effects by considering the lung parenchyma as an elastic network with embedded contractile elements. In the model, the elastic network was given the known elastic properties of relaxed lung, and the contractile elements were given the plastoelastic properties of passively cycled, activated smooth muscle. This model, incorporating the anatomical data from the first part of the study, estimates the effects of activation of the contractile elements in each location on regional parenchymal recoil and compliance during tidal breathing.

Our results show, in the two species examined, that any one of the locations alone has sufficient contractile material to account for modest but significant reduction of parenchymal compliance under dynamic conditions. This is consistent with the hypothesis that this mechanism, locally responsive to carbon dioxide levels, defends the overall efficiency of gas exchange by modulating local ventilation-perfusion (V/Q) ratios.

Glossary

Primary symbols Forces
F   force
T   tension (force per length)
P   pressure (force per area)
 sigma    nominal stress (force per area at lo)

Dimensions
A   area
V   volume
 rho    density of embedded structure in the lung unit
TLC   maximal physiological lung unit volume
FRC   relaxed physiological lung unit volume

Mechanical properties
 kappa    bulk modulus
µ   shear modulus
lo   length for maximal muscle stress

Geometry
 theta    angle of muscle fiber to the axis of airway cylinder or equator of ductal sphere
a   radius of sphere or cylinder
u   displacement of a boundary

Modifiers Geometry
ax   axial
circ   circumferential
tm   transmural
1   inner radius of surrounding (thick-walled) parenchyma, or equivalently outer radius of (thin-walled) duct or airway
2   outer radius of lung unit

Structures
ce   contractile element
tiss   tissue
L   lung
duct   alveolar duct
aw   airway
par   parenchyma
pl   pleura

Condition
active   contractile elements activated
passive   contractile elements relaxed


    METHODS
TOP
ABSTRACT
INTRODUCTION
METHODS
MODEL
RESULTS
DISCUSSION
APPENDIX
REFERENCES

Immunostaining

We used a monoclonal antibody to mark alpha -smooth muscle actin (44). It is highly specific, having been raised against the highly conserved amino terminal 10 amino acids of the smooth muscle isoform of alpha -actin. It is nonetheless very broad in its species reactivity, including human, rat, and chicken (44), cow, frog, goat, guinea pig, mouse, rabbit, dog, sheep, and snake (Sigma Chemical), and hamster and pig (personal observations of an author, C. Kuhn III).

The antibody was visualized by three different techniques. 1) To determine the disposition of alpha -smooth muscle actin on large sections with moderately well preserved septal configuration, we examined frozen sections by transmission light microscopy with the antibody made visible by diaminobenzidine-horseradish peroxidase (DAB-HRP). 2) To quantify alpha -smooth muscle actin in various sites over large fields of view, we prepared paraffin sections and used intensity-modulated multiple-wavelength scanning confocal microscopy (IMS) to measure the areas of fluorescence of Cy-3 linked to the antibody and to obtain anatomical context from fluorescent images of BODIPY-SE (Molecular Probes, Eugene, OR) staining lung tissue generally. 3) To determine the subcellular patterns and concentrations of alpha -smooth muscle actin, we examined epoxy sections by transmission electron microscopy with the antibody visualized by immunogold.

Organ Isolation, Fixation, and Sample Preparation

Experimental animals comprised six female, viral antigen-free Sprague-Dawley rats (241-348 g) and three guinea pigs (423-523 g). Each was briefly sedated with carbon dioxide (dry ice vapor in a desiccator) and then anesthetized with pentobarbital sodium (30-41.5 mg/kg body wt im). Tracheal intubation was immediately performed, and the animal was maintained on a ventilator until the heart and lungs could be rapidly removed en bloc.

Transmission light microscopy. Rat lungs were filled with a 1:1 mixture of cryostabilizing compound (Tissue-Tek OCT compound; Sakura Finetek, Torrance, CA) and saline. Blocks of tissue were placed in pools of OCT compound on copper chucks and frozen by immersion in 2-methyl butane cooled in dry ice. Frozen sections were prepared on a cryotome with section thickness of 6 µm. Sections were thaw-mounted on silanized slides and dried for 30-60 min. After fixation for 5 min in 80% ethanol, the sections were hydrated in phosphate buffered saline-horse serum albumin-horse serum and incubated with anti-alpha -smooth muscle actin antibody 1:1,000 for 1 h. The bound antibody was visualized by an immunoperoxidase reaction by using the avidin-biotin complex method with commercial kits (Vectastain, Vector Laboratories, Burlingame, CA). 3,3'-Diaminobenzidine was used as a chromogen.

Confocal fluorescence light microscopy. Rat and guinea pig lungs were degassed under vacuum, filled with fixative of methanol-chloroform-glacial acetic acid 60:30:10 by volume (29), and submerged in a bath of the same fixative for 2 h, with the meniscus of the liquid column continuous with the trachea maintained at 25 cm above the bath, which we consider to be close to maximal physiological volume (total lung capacity; TLC). The left (unlobated) lung was sliced transversely into three to eight slices ~2-3 mm thick, dehydrated in absolute ethanol, embedded in paraffin, cut ~7 µm thick, deparaffinized by standard techniques, and affixed to slides. For fluorescent staining of alpha -smooth muscle actin, slides were incubated in 0.1% Triton X-100 in 0.1 M Tris-buffered saline (TBS, pH 7.6) for 10 min, washed in TBS-bovine serum albumin (TBS-BSA) three times for 10 min each, incubated in TBS-BSA containing 1% horse serum for 30 min, incubated in mouse anti-human alpha -smooth muscle actin antibody (1:100 dilution in TBS-BSA, containing 1% horse serum and 0.1% Tween 20, Sigma Chemical, St. Louis, MO) overnight at 4°C, washed with TBS three times for 10 min each, incubated with biotinylated goat anti-mouse IgG (1:100 dilution with PBS-BSA-HS; Sigma Chemical) for 2 h, washed in PBS three times for 10 min each, incubated in the dark with ExtraAvidin Cy-3 complex (1:100 dilution with 0.1 M PBS, pH 8.2; Sigma Chemical) for 1 h, and washed in distilled water two times for 5 min each. For fluorescent counterstaining of tissue in general, slides were incubated in 1:40,000 dilution of BODIPY-SE in 0.1 M NaHCO3 (Molecular Probes) for 30 min and washed in distilled water two times for 5 min each.

Transmission electron microscopy. Rat lungs were similarly prepared, except that the intratracheal fixative was 2% paraformaldehyde, 0.1% glutaraldehyde in 0.1 M cacodylate buffer, pH 7.4. The slices, after dehydration in absolute ethanol, were embedded in LR white resin (Polysciences; Warrenton, PA). Ultrathin sections were cut and mounted on gold grids (Polaron Equipment; Watford, UK). Grids were incubated overnight with alpha -smooth muscle actin antibody as described above, washed, incubated with goat anti-mouse IgG gold (1:40 dilution with the same diluent as used for the primary antibody, Sigma Chemical) for 2 h, washed with TBS-BSA two times for 5 min and then with distilled water two times for 5 min; air-dried overnight; and finally counterstained with uranyl acetate and then lead nitrate.

Imaging and Field of View Selection

Transmission light microscopy. Sections were viewed with a Zeiss Photomicroscope I with ×25 objective, 1.25 intermediate lens. A Dage-MTI CCD video camera fed a signal to a Sony Trinitron monitor and Sony Video Printer. The images on the monitor were ×375 final magnification. Forty-two contiguous, nonoverlapping fields of view covering the entire usable area of the section were acquired.

Confocal fluorescence light microscopy. Sections were examined with ×63 (rat) or ×100 (guinea pig) objectives. The optimal pinhole size in the confocal detection unit was selected so as to collect as much light as possible while still obtaining nearly maximal depth resolution. This depends on the ratio of magnification to numerical aperture. It corresponded to a diameter of 20 µm (rat) or 40 µm (guinea pig) in the image plane of the objective. Cy-3 was excited by a laser light beam at 568-nm wavelength and detected at 620 ± 30 nm (red). BODIPY-SE was excited at 488 nm and detected at 525 ± 25 nm (green). Because of overlap between the Cy-3 and BODIPY-SE images, we used a recently developed adaptation of IMS and morphology-based image processing (see DISCUSSION). The energies and intensity modulations of the two excitation beams were monitored before imaging of each sample. Pixels represented areas 0.32 µm on a side for the rat and 0.2 µm for the guinea pig.

As seen in the raw 620-nm images (Fig. 1A), Cy-3 stained large masses of alpha -smooth muscle actin in the smooth muscle bands in walls of airways and blood vessels and smaller groupings of alpha -smooth muscle actin in the alveolar ductal structures. Images were processed with the sequence of morphological operations "2× dilate, 4× convex hull creation, 2× erode, and 1× isolated pixel removal" to remove isolated pixels and to collect pixels enfolded by a group of alpha -smooth muscle actin pixels or between two or more neighboring groups (35). Those pixels preserved after thresholding and image processing were considered alpha -smooth muscle actin (Fig. 1B). As seen on the raw 525-nm images (Fig. 1C), BODIPY-SE stained all tissue, including alpha -smooth muscle actin-containing structures. Tissue was readily distinguished from generally dimmer air and lumen pixels by thresholding at an interactively chosen intensity. The same sequence of morphological operations that separated alpha -smooth muscle actin from tissue on the 620-nm images was also effective on the 525-nm images in smoothing the edges of tissue profiles, filling internal holes due to noise, and repairing occasional gaps in thin capillary wall profiles. Small capillary lumens were also filled, although lumens of arterioles and venules were not, in general. The pixels preserved after this operation (both alpha -smooth muscle actin- and non-alpha -smooth muscle actin-containing) were considered tissue (Fig. 1D). Each animal generated three to five lung slices. Systematic sampling was performed on a rectilinear grid with constant spacing and random starting point; 2.7 and 1.5% of the areas of the sections of rat and guinea pig lung, respectively, were recorded.


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Fig. 1.   Four intensity-modulated multiple-wavelength scanning confocal micrographs of the same field of view of a rat lung section. A: raw image for Cy-3 immunofluorescence (620 nm). B: same image after thresholding and morphology-based image processing. C: raw image for BODIPY-SE fluorescence (525 nm). D: same image after thresholding and morphology-based image processing. Pixels in A and C are shown with intensity registered on a color scale. White pixels in B and D are those selected as alpha -smooth muscle actin and tissue respectively. Areal densities (Table 2) are obtained from the counts of pixels in B, categorized by the anatomical context of D.

Transmission electron microscopy. Micrographs of sections stained with immunogold were viewed at an instrumental magnification of ×20,000 and were printed at a final magnification of ×68,000. All micrographs from a single animal were of tissue sections stained under the same conditions. Gold particles decorated smooth muscle cells in all airway and blood vessel walls and were very rare in airspaces or vessel lumens, indicating adequate sensitivity and specificity.

Quantifying alpha -Smooth Muscle Actin in Anatomical Context

We first addressed the quantitative distribution of alpha -smooth muscle actin among three sites: blood vessels, airways, and alveolar structures. On the confocal fluorescence light micrographs, we identified all airways (terminal bronchioles and larger) on each field-of-view's original image pair by referring principally to the 525-nm channel's images, but also to the 620-nm channel's images for clarification of smooth muscle morphology. A polygon was drawn closely around the airway, and the tissue within was categorized as airway. Analogous images were produced for blood vessel (arterioles, venules, and larger) and unknown regions (recognizable as airway or blood vessel but not further classifiable). All remaining tissue was considered alveolar. All pixels selected as alpha -smooth muscle actin or non-alpha -smooth muscle actin in each of these anatomic locations were registered from 790 image pairs from the rats and 240 from the guinea pigs. Areal densities of alpha -smooth muscle actin or tissue were calculated from the fractions of pixels of each category in each location. For example, the areal density of airway contractile elements (Ace) at TLC [(Aceaw/AL)TLC] is the product of the morphometrically observed ratio of the number of pixels recording alpha -smooth muscle actin in airways to the number of pixels recording lung tissue and the areal density of tissue in the fully distended lung. The latter, being stereologically identical with the corresponding volumetric density, was obtained as the mass density of the lung at TLC divided by the mass density of lung tissue, with the assumptions of 0.067 and 1 g/ml, respectively. The use of summed intensities instead of summed areas did not materially affect the estimates of the quantitative distribution of alpha -smooth muscle actin. Our measurements of the fraction of muscle in the airway wall by the immunofluorescent IMS technique (0.53/6.9 = 8%; see Table 2) were similar to previous measurements obtained by tracing relevant areas on digitized light micrographs (Table 1 of Ref. 15). This tends to validate our quantitative approach, although the species were not the same.

We next addressed the prevalence of alpha -smooth muscle actin among alveolar structures. We examined transmission light micrographs using a Richards surgical microscope at four locations of particular mechanical significance (see DISCUSSION). These are 1) the border of an alveolar septum that abuts two other septa, appearing on section as a three-way septal junction; 2) the border of an alveolar septum that abuts one other septum, forming a ridge between the two septa and appearing on section as a distinct bend of the septal trace; 3) the free border of an alveolar septum, as at an alveolar entrance ring, appearing on section as the free end of a septal trace; and 4) the alveolar septum away from its borders. We identified and circled all the septal ends and bends on each transmission micrograph (the other two locations turned out to have no identifiable alpha -smooth muscle actin), and recorded each as showing alpha -smooth muscle actin stain or no stain. When we applied a similar approach to the confocal light micrographs, we obtained data for the septal ends, but could not obtain satisfactory data for the septal bends, because their characteristic configuration was not well enough preserved in these paraffin preparations for secure identification.

To quantify the distribution of alpha -smooth muscle actin among the septal ends, we examined confocal fluorescence light micrographs from three rats. A polygon was drawn closely around every septal end on each section studied. The transected areas of alpha -smooth muscle actin in each of 350 septal ends were obtained from the number of alpha -smooth muscle actin pixels.

The subcellular concentration and configuration of alpha -smooth muscle actin were studied on transmission electron micrographs of rat lungs. Fields-of-view centering on alpha -smooth muscle actin-containing material were collected from airway smooth muscle, blood vessel smooth muscle, and septal ends (36, 35, and 33 fields-of-view, respectively). The outlines of all cells tagged with gold particles were emphasized with a fine-pointed marker. Each micrograph was overlaid with a transparent grid with lines spaced at distances equivalent to 0.4 µm. The number of gold particles visible in each grid square was recorded on the grid, and the mean densities (particles per grid square) were calculated.

For examining the visceral pleura, we abandoned the approach of random sampling because of the discreteness of the pleural structure and the frequent stripping of pleura from sections. On two sections of guinea pig lung, we measured pleural thicknesses, alpha -actin layer thicknesses, and lung slice perimeters, using calipers on light micrographs. From these we calculated the transected areas of pleural tissue, pleural alpha -smooth muscle actin, and lung.


    MODEL
TOP
ABSTRACT
INTRODUCTION
METHODS
MODEL
RESULTS
DISCUSSION
APPENDIX
REFERENCES

Overview

Our goal was to predict how activation of the contractile elements in each site affects lung distensibility during periodic breathing, specifically the effects on constriction, elastic recoil, and compliance. Our approach was to model a region of lung as an extensive network of elastic elements within which are embedded various contractile structures, namely airways, blood vessels, and alveolar ducts. During breathing, the entire region is cyclically extended and released, and the lengths and tensions of its elastic and contractile components are cycled according to their mechanical properties and their mechanical linkage.

The model respects the important distinction between elasticity and plastoelasticity. We assume that the lung behaves reasonably elastically, i.e., its stress-strain relationship is single valued. By contrast, the activated contractile elements are plastoelastic, i.e., they can change their stress-strain relationship substantially, e.g., after being stretched (11, 14, 39, 42). Although the two systems have this fundamental difference, they are each reasonably predictable.

The model also respects fundamental differences in the mechanical linkage of the elastic and contractile elements. When two elements are linked in parallel, i.e., side by side, their lengths are the same, whereas the net tension is the sum of their individual tensions. By contrast, when they are linked in series, i.e., end to end, their tensions are the same, whereas their lengths sum to the net length. The present context suggests both models. The anatomies of the contractile elements of the pleura and of the axially oriented elements in the airways and blood vessels suggest mechanically parallel linkages with the elastic network of the lung. Because the dimensions of both elastic and contractile components depend only on lung volume, the contributions of each component to lung recoil can be predicted from its characteristic mechanical properties, the level of activation, and lung volume, lung volume excursions, and timing. Their contributions can be simply summed. By contrast, although the circumferentially oriented elastic and contractile elements of the ducts, airways, and blood vessels are mechanically in parallel with each other, they in turn are linked mechanically in series with the surrounding alveolar parenchyma. Because of the series linkage, the activated contractile elements at any given lung volume are shorter; the duct, airway, or vessel is narrower; and the surrounding alveolar parenchyma is drawn in. The governing constraint here is that the additional radial tension due to the contractile element matches the net increase in opposing radial tensions in the elastic structures, i.e., in the surrounding parenchyma and the passive elastic elements of the duct, airway, or blood vessel. Calculations for serial linkage are more complex than for parallel linkage, because the elastic solution must include the distortion from contraction of the embedded structures, and the dimensions and tensions of elastic and contractile components must be resolved to be compatible with each other, with each following its respective properties.

Responses of the Elastic Structure to Internal Contractile Stress

The major assumptions are: 1) that the noncontractile structure of the lung is linearly elastic over the range of distortion under consideration (22), which includes the airways, blood vessels, and alveolar ducts as well as the network of alveolar septa that surrounds them and does not separate the properties of their different tension-bearing components; 2) that, for serial linkage, predictions of small deformation elasticity theory are reasonable approximations for the magnitude of deformation of concern; and 3) that constriction of the alveolar duct is reasonably spherical and that of airways or blood vessels reasonably cylindrical.

Spherical model for constriction of the alveolar duct. Consider a spherical ventilatory unit, comprising a spherical alveolar duct and its associated alveoli. The structural elements of the duct consist of a net of connective tissue "cables" and their accompanying contractile elements. In the model, we replace that spherical net by a thin-walled spherical shell with the same mechanical properties as the net, and we express the radial stress at the interface as a stress jump across the wall of the shell. The contribution of the activated contractile elements to that transmural stress jump (Ptmactive) is obtained from the Laplace relationship, in which the contractile tensions are those of passively cycled, activated smooth muscle and the stereologically determined density of alpha -smooth muscle actin in the unit. The contribution of the passive elements (Ptmpassive), is taken, for computational purposes, at the radial stress at the surface of a solid spherical elastic continuum that has the same bulk modulus as that of the whole lung (22).

The alveolar network forms a thick-walled spherical shell lying outside the duct. Its mechanical properties are similar to those of the whole lung, on the bases of the relatively homogeneous expansion of the duct and parenchyma during inflation of the relaxed lung (2, 13) and in addition the similarity in shear of the macro and micro strains (4) (assumption 1). This thick-walled shell is modeled as an elastic continuum with the same bulk and shear moduli as those of the whole lung (22).

A region of lung comprises a number of such spherical ventilatory units with identical properties. We assume that the small departures of the units from spherical shape to pack them together do not materially change their behavior. When considering a region that is homogeneously activated, we represent the behavior of the whole by the behavior of a single unit.

We first derive the relationship between stress in the contractile elements and constriction of the duct at fixed lung unit volume and then the effects of that constriction on the recoil of the unit. We base the analysis on small deformation elasticity theory for a prestressed elastic structure, the constraint that the radial stresses at the interface between the duct and the surrounding parenchyma remain balanced, and the Laplace relationship. As developed in the APPENDIX, constriction is a function of the elastic moduli, the volumetric density of the relaxed duct relative to its ventilatory unit, and the incremental tension developed by the contractile elements of the alveolar duct
(u/a<SUB>1</SUB>)<SUB>duct</SUB><IT>=</IT>2(3<IT>&kgr;+</IT>4<IT>&mgr;</IT>)<SUP><IT>−</IT>1</SUP>(<IT>&rgr;−</IT>1)(<IT>&dgr;</IT>T<SUB>duct</SUB><IT>/a</IT><SUB>1</SUB>) (1)
The increment in regional lung recoil is a function only of volumetric density and contractile tension
&dgr;P<SC>l</SC><SUB>duct</SUB><IT>=</IT>2<IT>&rgr;</IT>(<IT>&dgr;</IT>T<SUB>duct</SUB><IT>/a</IT><SUB>1</SUB>) (2)
Eqs. 1 and 2 appear in the APPENDIX as Eqs. A5 and A7.

Cylindrical model for constriction of the airway or blood vessel. The analysis for the cylindrical structures differs from the above in two ways. First, there is an axial linkage to consider. We assume that, because of the treelike structure of the airways and blood vessels, the lengths of airway and blood vessel segments are absolutely constrained by lung volume and vary closely with its cube root, regardless of activation. The linear linkage of the segments suggests that axial tensions can be transmitted along the branches of the trees, independent of the tensions in the alveolar parenchyma. The axial components, thus, are mechanically in parallel with the parenchyma. Second, there is an asymmetry to the serial linkage because at a fixed lung volume the segments can narrow without changing length by drawing in on the surrounding alveolar network. Absent an elastic solution for such a deformation, we take the approach of an earlier report from this laboratory (45) and consider the effects of radial constriction at fixed lung unit volume as a volumetric constriction within an extensive elastic medium.

We consider the effects of circumferential and axial tensions separately. As developed in the APPENDIX, radial constriction of the airway (or blood vessel)1 is a function of the shear modulus and the increment of circumferential tension
(u/a<SUB>1</SUB>)<SUB>aw</SUB><IT>=</IT>−¼<IT>&mgr;</IT><SUP><IT>−</IT>1</SUP>(<IT>&dgr;</IT>T<SUB>circ</SUB><IT>/a</IT><SUB>1</SUB>) (3)
and the increment in regional lung recoil is a function of the elastic moduli, volumetric density, and increments of both circumferential and axial tensions
&dgr;P<SC>l</SC><SUB>aw</SUB><IT>=</IT><FENCE>½<IT>&kgr;/&mgr;+</IT><FR><NU>2</NU><DE>3</DE></FR></FENCE><IT>&rgr;</IT>(<IT>&dgr;</IT>T<SUB>circ</SUB><IT>/a</IT><SUB>1</SUB>)<IT>+</IT><FR><NU>2</NU><DE>3</DE></FR><IT>&rgr;</IT>(<IT>&dgr;</IT>T<SUB>ax</SUB><IT>/a</IT><SUB>1</SUB>) (4)
Eqs. 3 and 4 appear in the APPENDIX as Eqs. A11 and A14.

Incorporation of stereologic data. The increment of ductal tension is a function of the volume reference for scaling the normal stress of the contractile element, the fractional volume of the lung relative to that at maximal physiological volume, the density of the embedded structures in the lung, and the stereological densities of contractile material.
&dgr;T<SUB>duct</SUB><IT>/a</IT><SUB>1</SUB><IT>=</IT>−<FR><NU>1</NU><DE>6</DE></FR>(FRC<IT>/</IT>TLC)<SUP><IT>−</IT><FR><NU>1</NU><DE>3</DE></FR></SUP> (5)

<IT>×</IT>fV<SC>l</SC><SUP><IT>−</IT><FR><NU>2</NU><DE>3</DE></FR></SUP><SUB>TLC</SUB><IT>&rgr;</IT><SUP><IT>−</IT>1</SUP>(<IT>A</IT><SUB>ce,duct</SUB><IT>/A</IT><SC>l</SC>)<SUB>TLC</SUB><IT>&dgr;&sfgr;</IT><SUB>ce,duct</SUB>
The increments of the circumferential and axial tensions of the airway (or blood vessel) are functions in addition of the angulation of the contractile elements to the axis of the wall segment
&dgr;T<SUB>circ</SUB><IT>/a</IT><SUB>1</SUB><IT>=</IT>−½ sin<IT> &thgr;</IT>(FRC<IT>/</IT>TLC)<SUP><IT>−</IT><FR><NU>1</NU><DE>3</DE></FR></SUP> (6)

<IT>×</IT>fV<SC>l</SC><SUP><IT>−</IT><FR><NU>2</NU><DE>3</DE></FR></SUP><SUB>TLC</SUB><IT>&rgr;</IT><SUP><IT>−</IT>1</SUP>(<IT>A</IT><SUB>ce,aw</SUB><IT>/A</IT><SC>l</SC>)<SUB>TLC</SUB><IT>&dgr;&sfgr;</IT><SUB>ce,aw</SUB>
and
&dgr;T<SUB>ax</SUB><IT>/a</IT><SUB>1</SUB><IT>=</IT>−¼ cos<IT> &thgr;</IT>(FRC<IT>/</IT>TLC)<SUP><IT>−</IT><FR><NU>1</NU><DE>3</DE></FR></SUP> (7)

<IT>×</IT>fV<SC>l</SC><SUP><IT>−</IT><FR><NU>2</NU><DE>3</DE></FR></SUP><SUB>TLC</SUB><IT>&rgr;</IT><SUP><IT>−</IT>1</SUP>(<IT>A</IT><SUB>ce,aw</SUB><IT>/A</IT><SC>l</SC>)<SUB>TLC</SUB><IT>&dgr;&sfgr;</IT><SUB>ce,aw</SUB>
Eqs. 5-7 appear in the APPENDIX as Eqs. A15-A17. Combining these equations with Eqs. 1-4 gives the constriction of the duct
(u/a<SUB>1</SUB>)<SUB>duct</SUB><IT>=</IT><FR><NU>1</NU><DE>3</DE></FR>(3<IT>&kgr;+</IT>4<IT>&mgr;</IT>)<SUP><IT>−</IT>1</SUP>(FRC<IT>/</IT>TLC)<SUP><IT>−</IT><FR><NU>1</NU><DE>3</DE></FR></SUP> (8)

<IT>×</IT>fV<SC>l</SC><SUP><IT>−</IT><FR><NU>2</NU><DE>3</DE></FR></SUP><SUB>TLC</SUB>(<IT>&rgr;</IT><SUP><IT>−</IT>1</SUP><IT>−</IT>1)(<IT>A</IT><SUB>ce,duct</SUB><IT>/A</IT><SC>l</SC>)<SUB>TLC</SUB><IT>&dgr;&sfgr;</IT><SUB>ce,duct</SUB>
its effect on lung recoil
&dgr;P<SC>l</SC><SUB>duct</SUB><IT>=</IT>−<FR><NU>1</NU><DE>3</DE></FR>(FRC<IT>/</IT>TLC)<SUP><IT>−</IT><FR><NU>1</NU><DE>3</DE></FR></SUP>fV<SC>l</SC><SUP><IT>−</IT><FR><NU>2</NU><DE>3</DE></FR></SUP><SUB>TLC</SUB>(<IT>A</IT><SUB>ce,duct</SUB><IT>/A</IT><SC>l</SC>)<SUB>TLC</SUB><IT>&dgr;&sfgr;</IT><SUB>ce,duct</SUB> (9)
the constriction of the airway
(u/a<SUB>1</SUB>)<SUB>aw</SUB><IT>=</IT><FR><NU>1</NU><DE>8</DE></FR><IT>&mgr;</IT><SUP><IT>−</IT>1</SUP> sin<IT> &thgr;</IT>(FRC<IT>/</IT>TLC)<SUP><IT>−</IT><FR><NU>1</NU><DE>3</DE></FR></SUP> (10)

<IT>×</IT>fV<SC>l</SC><SUP><IT>−</IT><FR><NU>2</NU><DE>3</DE></FR></SUP><SUB>TLC</SUB><IT>&rgr;</IT><SUP><IT>−</IT>1</SUP>(<IT>A</IT><SUB>ce,aw</SUB><IT>/A</IT><SC>l</SC>)<SUB>TLC</SUB><IT>&dgr;&sfgr;</IT><SUB>ce,aw</SUB>
the effects of airway constriction on lung recoil
&dgr;P<SC>l</SC><SUB>aw</SUB><IT>=</IT>−<FENCE>¼<IT>&kgr;/&mgr;+</IT><FR><NU>1</NU><DE>3</DE></FR></FENCE> sin<IT> &thgr;</IT>(FRC<IT>/</IT>TLC)<SUP><IT>−</IT><FR><NU>1</NU><DE>3</DE></FR></SUP> (11)

<IT>×</IT>fV<SC>l</SC><SUP><IT>−</IT><FR><NU>2</NU><DE>3</DE></FR></SUP><SUB>TLC</SUB>(<IT>A</IT><SUB>ce,aw</SUB><IT>/A</IT><SC>l</SC>)<SUB>TLC</SUB><IT>&dgr;&sfgr;</IT><SUB>ce,aw</SUB>
and the effects of axial tension on lung recoil
&dgr;P<SC>l</SC><SUB>aw</SUB><IT>=</IT>−<FR><NU>1</NU><DE>6</DE></FR> cos<IT> &thgr;</IT>(FRC<IT>/</IT>TLC)<SUP><IT>−</IT><FR><NU>1</NU><DE>3</DE></FR></SUP> (12)

<IT>×</IT>fV<SC>l</SC><SUP><IT>−</IT><FR><NU>2</NU><DE>3</DE></FR></SUP><SUB>TLC</SUB>(<IT>A</IT><SUB>ce,aw</SUB><IT>/A</IT><SC>l</SC>)<SUB>TLC</SUB><IT>&dgr;&sfgr;</IT><SUB>ce,aw</SUB>

Pleural model. In the guinea pig, there is abundant alpha -smooth muscle actin in the pleura. To estimate its maximal effect on net recoil, we consider a spherical pleura with contractile elements uniformly distributed with regard to location and orientation. As shown in the APPENDIX, pleural tension is the same as is given by Eq. 5 with rho  = 1, and the effect on lung recoil, then, is the same as that given by Eq. 9.

Properties of Passively Cycled, Activated Contractile Element

Like the elastic elements, the contractile element is predictable, although it differs in its substantial plasticity. When activated smooth muscle is cycled, the stress-strain relationship departs dramatically from the classical isometric stress-strain curve depending on the timing and sequence of forces imposed on it. For example, when trachealis muscle is activated maximally at a constant length in vitro, stress rises to a plateau over several minutes. Such plateau values, obtained at different lengths, generate the familiar maximum isometric contraction curve (MICC; Fig. 2, solid curve). If the muscle is forcibly stretched after reaching the plateau tension, stress generally yields along this curve. If it is then shortened rapidly, stress falls sharply away from the MICC. If it is cycled with a frequency and amplitude typical of tidal breathing, it forms a stable, narrow, stress-strain loop that peaks near the MICC but that is much stiffer than the MICC (examples in Fig. 2A, dashed and solid loops) (11, 39, 42). Such loops can be generated anywhere along the length axis, creating an infinite array of parallel, narrow, stiff loops.


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Fig. 2.   Effect of activated contractile elements on the elastic structure of the parenchyma during tidal breathing. A: typical plastoelastic behavior of the maximally activated contractile element. Length is presented as a fraction of that at total lung capacity (TLC). Nominal stress is referred to the cross-section of the smooth muscle at functional residual capacity (FRC). Solid curve is that for maximal isometric contraction. Dashed and solid loops are for maximally activated smooth muscle undergoing repeated, imposed length cycles of differing amplitude at typical breathing frequencies. Note that, for a given cycling pattern, loops are narrow and stable (i.e., elastic) and are stiff. Nonetheless, different loops form along the maximal isometric contraction curve (MICC) depending on the length to which the contractile element is stretched at the peak of the cycle (i.e., plastic). B: superposition of properties of the elastic structure for volumes at intervals of 0.1 of lung fractional volume relative to TLC (fVLTLC) and for a range of contractile element stress (sigma ce). Radius is presented as a fraction of that at relaxed TLC and is equivalent to contractile element length. In the absence of contractile stress, radius varies as the cube root of volume, whereas, with increasing contractile stress at fixed volume, elastic modeling (Eq. 8 or 10) predicts narrowing (solid line). Trajectories of the nadirs of contractile element strain/stress loops are similar to those in A (dashed line). End-inspiratory (diamond ) and end-expiratory () points for tidal breaths between 0.3 and 0.4, 0.5 and 0.6, 0.7 and 0.8, and 0.9 and 1.0 fVLTLC are identified by the intersections of the contractile curves with the isovolume elastic curves as described in the text.

End-Inspiratory and End-Expiratory Points

For parallel linkage, the lengths follow the cube root of lung volume, the stresses follow the elastic and plastoelastic descriptions, and the recoil is simply the sum of those stresses applied to the appropriate areas. For serial linkage, compatible solutions are required for the elastic and plastoelastic components. In tidal breathing, the elastic structure lies at end-inspiration on its linear function for that volume (Eqs. 8 or 10), and the contractile element lies on the MICC. Their intersection identifies the end-inspiratory point. At end-expiration, the elastic structure lies on the linear function for that volume, and the contractile element lies on a curve that comes down from the particular end-inspiratory point of the tidal breath, following the general trajectory of nadirs of such loops (11). Their intersection identifies the end-expiratory point. Applying Eqs. 9, 11, and 12, we obtained the effects on lung recoil. From these data, we can calculate the specific compliances and fractional changes of compliance.

Incorporation of Specific Anatomic and Functional Data

Compatible solutions were found by numerical analysis on a spread sheet (Excel) using Eqs. 8-12 and curves fitted to the data for volume/pressure, MICC, and the general trajectory of nadirs of repeated loops of activated smooth muscle.

Elastic structure. The isovolume elastic solutions for radius of the airway, vessel or duct, are obtained as (fVLTLC)-<FR><NU>1</NU><DE>3</DE></FR> (1 + u/a1). The bulk modulus of the lung, kappa , is derived from a generalized lung pressure-volume curve (37) and human pressure-volume data (12), and the shear modulus, µ, is derived from lung distortion properties (22) (See APPENDIX). We take fractional FRC (FRC/TLC) as 0.5, and the volumetric densities of the spherical alveolar duct and of the cylindrical airway within their ventilatory units, rho , as <FR><NU>1</NU><DE>8</DE></FR> and 1/50, respectively. The areal density of the contractile element in each location, Ace/AL, comes from Table 2.

Contractile elements. The MICC is adapted from a generalized curve (Fig. 1, Ref. 47) with maximum stress set at 2.88 × 106 dynes cm-2 at lo (15), and with lo of the relaxed muscle set at FRC. We assume that the length of the relaxed muscle varies as VL<FR><NU>1</NU><DE>3</DE></FR>. A generalized trajectory of end-expiratory points was generated from the end points of a series of dynamic loops (Fig. 1 of Ref. 11), with length scaled in proportion to the length at the end-inspiratory point.

Orientation and closure. The orientation of the contractile elements in the airways is nearly circumferential (23), thus favoring circumferential over axial tension. We modeled the airway with a single theta  (77° to the axis of the airway) because the observed distribution is narrow. We did not have information regarding the distribution of theta  in the blood vessels, but predictions made with the assumption of uniform distribution of theta  (not shown) are not very different. When the airway closes, i.e., when the outside radius falls to ~0.48 of its initial radius (26), any excess of delta Tcirc over that needed for closure has no additional effect on the surrounding parenchyma. We therefore limit the effects of delta Tcirc on recoil (Eq. 11) to that threshold. Nonetheless, the full delta Tax can still be transmitted along the closed airway tree.


    RESULTS
TOP
ABSTRACT
INTRODUCTION
METHODS
MODEL
RESULTS
DISCUSSION
APPENDIX
REFERENCES

Anatomic Observations

Location. alpha -Smooth muscle actin appears in the walls of all conducting airways, in the walls of all blood vessels larger than capillaries, and in two of four sites of particular mechanical significance, namely the septal ends and bends, where elastin- and collagen-rich cables are located (34). It is present in about three-quarters of the ends and half of the bends (Fig. 3, Table 1). No alpha -smooth muscle actin was detected in the septa away from the ends and bends, nor in the three-way septal junctions. alpha -Smooth muscle actin is present in the visceral pleura of the guinea pig, but not in that of the rat.


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Fig. 3.   Light micrograph of rat lung stained by reaction with alpha -smooth muscle actin antibody, visualized using the immunoperoxidase method. Arrows indicate staining at a typical septal "end" (E) and "bend" (B).


                              
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Table 1.   Prevalence of alpha -smooth muscle actin in parenchymal cable locations

Quantities. The amounts of alpha -smooth muscle actin and tissue in the various sites are given in Table 2 and are of roughly similar magnitude in the two species, with the exception of the rat pleura. The rat has slightly less alpha -smooth muscle actin in the alveolar duct than in either the airways or blood vessels, whereas the guinea pig has more. The rat has more alpha -smooth muscle actin in its airways and blood vessels than does the guinea pig, but less in the ducts. In addition, the guinea pig has substantial alpha -smooth muscle actin in the pleura, almost as much as in the parenchyma.

                              
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Table 2.   Quantities of alpha -smooth muscle actin and lung tissue in various sites

The areas of the individual bundles of alpha -smooth muscle actin at cable sites as seen on section are mostly 1 µm2 or less (Fig. 4). The variation of areas is only partly due to tangential sectioning-random sectioning of uniform linear bundles would produce fewer large areas than we saw. It is our impression from the transmission light micrographs that heavier clumps of alpha -smooth muscle actin are present in clusters of septal ends associated with larger alveolar ducts. In an attempt to confirm this impression, we looked for visual evidence of a gradient of heavy staining from hilum to pleura but were unable to draw a conclusion.


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Fig. 4.   Frequency distribution of the areas of patches of alpha -smooth muscle actin seen in septal end structures. Most are <1 µm2.

Fine distribution and concentrations. At the cellular level, the rat shows distinct differences between the smooth muscle of the airways and blood vessels and the alpha -smooth muscle actin-containing cells in the cable sites of the alveolar parenchyma. As shown in Fig. 5A, the alpha -smooth muscle actin-containing cells of blood vessels and bronchioles have the well-known morphologic features of smooth muscle: their outline is unbranched, compatible with a fusiform shape; their cytoplasm is nearly filled with electron-dense filamentous material that binds the gold particles; and caveolae are numerous along the cell periphery. The basal lamina in these preparations is not consistently visible, owing to low contrast, but an unfilled gap of several tenths of a micrometer is present between the periphery of neighboring cells or between cells and interstitial fibrils. By contrast, the immunogold-tagged cells in the septal ends (Fig. 5B) are represented by profiles of fine cell processes that sometimes branch. The gold particles are bound to packets of electron-dense, filamentous material that occupy a relatively small portion of the profile, the remainder being electron lucent with occasional mitochondria or sacs of endoplasmic reticulum. Caveolae are few, and interstitial fibrils abut the cell periphery, indicating the absence of an intervening basal lamina. These cells indeed resemble the myofibroblasts in other portions of the alveolar wall save for the actin isoform expressed. On the other hand, within the portions of the cells that do contain alpha -smooth muscle actin, over regions of similar size to the confocal pixels, the concentrations of alpha -smooth muscle actin (immunogold particles per overlay square) are similar among the ends (1.98) and the smooth muscles of the airways (1.84) and blood vessels (2.02). So, although these cells seem to be myofibroblasts, they appear to have hefty contractile machinery comparable to smooth muscle.


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Fig. 5.   Electron micrographs of rat parenchyma, contrasting the cells containing alpha -smooth muscle actin (immunogold-stained) in the airways (A) and in the septal end structures (B). See text.

Predictions From Modeling

The end-inspiratory and end-expiratory radii and contractile element stresses during tidal breathing are shown in Fig. 6, A and B. When relaxed, radii of ducts, airways, and vessels vary simply as the cube root of lung volume, but with activation, the structures are narrower. The degree of narrowing 1) during a given tidal breath is greater at end-inspiration than at end-expiration by up to 150%, reflecting the greater contractile stress at end-inspiration; 2) is generally greater in tidal breaths taken at lower lung volumes, reflecting less opposing tension in the elastic structures; 3) is greater if the density of alpha -smooth muscle actin is greater, e.g., the ducts of the guinea pig compared with those of the rat; and 4) is greater for the airways than for the ducts, reflecting the higher local concentration of alpha -smooth muscle actin. Maximally activated airways are predicted to close at mid-range lung volumes. Contractile stresses are much lower at end-expiration than at end-inspiration, reflecting the characteristic dynamic stiffness of the activated contractile element. Lung recoil (Fig. 6C) is increased modestly, e.g., rat ductal constriction increases recoil by <1 cmH2O, although this reaches 20% of relaxed recoil at lowest lung volumes. At high lung volumes, the airways have greater effects on recoil than do the ducts. Most of this (about three-quarters, data not shown) is due to circumferential tensions. At lower lung volumes, where the airways close, the contribution of circumferential tension falls off, while that of axial tension increases, reversing the ratio. Specific compliance (Fig. 6, D and E) is reduced by up to 20-30% with constriction in any one site alone. The effects of pleural activation (guinea pig) on recoil (not shown) were somewhat less than that of ductal activation, but its effects on specific compliance were ~50% greater (Fig. 6E).


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Fig. 6.   Predicted effects of activation of contractile elements on the radius of various embedded structures (A), on stress in the contractile elements (B), on lung recoil (C), on specific parenchymal compliance (D), and on the fractional change of parenchymal compliance (E) during tidal breathing at different levels of inflation. The outer radius of the duct or airway is given relative to its radius at relaxed TLC. Volume is given as fraction of relaxed TLC. Heavy solid lines, relaxed contractile elements; dotted lines and , activated rat ducts; thin solid lines and open circle , rat airways; dot-dashed lines and diamond , guinea pig duct; dashed lines and triangle , guinea pig airways; , guinea pig pleura. See text.


    DISCUSSION
TOP
ABSTRACT
INTRODUCTION
METHODS
MODEL
RESULTS
DISCUSSION
APPENDIX
REFERENCES

The main findings of this study are 1) that the amounts of contractile material do not vary widely between the alveolar ducts, airways, and blood vessels of the lung parenchyma, 2) that estimated effects on lung recoil are small, and 3) that there is the potential for modest but physiologically significant control of regional compliance.

Methodology

We chose alpha -smooth muscle actin as a marker of contractile capability, as have others (8). Although the most plentiful isoforms of actin in lung are nonsmooth muscle (24), such isoforms are generally involved in processes (e.g., cell migration, phagocytosis, secretion, and translocation of organelles within the cytoplasm) that do not involve deformation of the tissue external to the actin-containing cell. By contrast, the smooth muscle isoforms are found in cells such as fibroblasts during the contraction of wounds, the myoepithelial cells of gland ducts, and smooth muscle itself, i.e., in sites or circumstances where cells put tension on the surrounding tissue. In addition, the force generated by smooth muscle cells is ~10-fold that generated by contraction of cells such as endothelium and chick embryo fibroblasts with nonmuscle actin (20). We recognize that, in limiting ourselves to the alpha -smooth muscle isoform, we may have underestimated the intrinsic contractile capability of the alveolar parenchyma. We are not likely, however, to have overestimated it.

We needed images identifying alpha -smooth muscle actin-containing pixels in anatomical context to quantify contractile elements in the several sites. We had tried several approaches before settling on the described techniques. We failed to obtain reliable immunostaining of alpha -smooth muscle actin for light microscopy with a number of plastic embedding materials, combined on occasion with etching and removal techniques. Paraffin-embedding provided excellent immunostaining, but DAB-HRP stain deposits were neither well localized nor opaque enough to allow the video microscopic images to be segmented cleanly into alpha -smooth muscle actin, tissue, and air regions. We then tried combinations of immunofluorescent staining of alpha -smooth muscle actin and absorptive or fluorescent staining of tissue, but the thickness of the sections (7-12 µm) meant that portions of the section above and below the plane of focus contributed to both the alpha -smooth muscle actin and tissue signals, making their separation unreliable. This problem was partly overcome by the use of confocal laser scanning microscopy to look at optical sections that are a fraction of the thickness of the section itself (<1 µm out of 7 µm or more). Nonetheless, even with emission spectra as well separated as those of BODIPY-SE and Cy-3, there was enough cross talk between the two detected signals that separating them quantitatively was insecure. This final limitation was largely overcome by the use of the novel IMS technique (5) in which two lasers are used, each tuned to a suitable excitation wavelength of one of the dyes. The intensities of the two exciting wavelengths are modulated at different frequencies in the megahertz region. As a result, the intensities of the light from the different dyes have different frequencies and can be distinguished by lock-in amplifiers, each tuned to one of the exciting frequencies, rejecting in each case the out-of-frequency signal contaminating that channel. This approach gave us two superimposable images, one showing the alpha -smooth muscle actin-containing pixels and the other showing lung tissue for context.

The images were further clarified by morphology-based image processing. On the 620-nm image (alpha -smooth muscle actin), there were individual pixels that appeared to be out of anatomical context. There were two reasons for this. First, tissue pixels are subject to a certain random noise. This is photon quantum noise with a broad frequency spectrum and random signal level proportional to the square root of the signal level of the rejected (525 nm) signal. It randomly increases or decreases the intensity of all tissue pixels, whether alpha -smooth muscle actin containing or not, creating enough of an overlap of intensity that simple intensity thresholding of the 620-nm channel does not clear it of the noise from the 525-nm channel. Because the noise is random, however, the severely affected pixels tend to occur in isolation, e.g., isolated low-intensity pixels within typical patches of alpha -smooth muscle actin and isolated high-intensity pixels in regions of non-alpha -smooth muscle actin-containing tissue. Second, there were many pixels of equivocal intensity at the borders of patches of alpha -smooth muscle actin, where many pixels lie partly over alpha -smooth muscle actin-containing tissue and partly over non-alpha -smooth muscle actin-containing tissue. These two features (isolation and edges) lend themselves to morphology-based image processing.

Contractile Cells

alpha -Smooth muscle actin appears not only in classical smooth muscle cells, but also, in the rat, in myofibroblast-like cells (Fig. 5). One of us (C. Kuhn III) has previously found similar cells in the septal ends of mice and hamsters. These cells have concentrations of alpha -smooth muscle actin at the pixel scale that are comparable to those in smooth muscle. They lie in the same site (alveolar ducts) as do classical smooth muscle cells in the guinea pig, human, and other species (Fig. 3). It seems likely, then, that this cell in this location has a primary contractile function.

Mechanical Linkage-Anatomic Basis

The effect of activation of contractile elements on lung recoil depends on how the contractile and elastic structures of the lung are linked (see MODEL). The outer boundaries of the airway and blood vessel trees deform nearly exactly with the pleural surface, because the relative volume of lung that might be mechanically in series with the trees is a subpleural rim several hundred micrometers in depth, and this is negligible compared with the volume of lung encompassed by the trees. The inner portions of the trees most likely remain shape stable. To the extent that the trees are tensed, branching structures, supported in space by terminal branches, the angles at each branch point are determined by the ratios of axial tensions in the branches and will not change if the axial tensions are changed proportionally during change of lung volume or change in tone. Furthermore, the alveolar parenchyma, within which the tree is embedded, is itself inherently shape stable. Indeed, airways in situ generally change length as the cube root of lung volume, which is completely compatible with shape stability. We conclude that the trees most likely provide a pervasive network that is generally shape stable either with lung volume change or with uniform changes of axial tension in its branches, that the linkage of its axial elements with the lung parenchyma is mechanically in parallel, and that lung recoil is directly changed by changes of axial tensions.

The lengths of the pleural contractile elements (guinea pig only) appear to be tied to lung volume, independent of the elastic elements of the lung, and are thus also in a parallel linkage.

Circumferential elements of the airways, blood vessels, and alveolar ducts, on the other hand, appear anatomically to be linked in series with the elastic structures of the lung. They are situated where they can shorten the elastic elements of the airway or blood vessel at fixed lung volume, drawing in radially on the surrounding alveolar septa, expanding their surfaces and deforming their elastic structures. In particular, the alveolar ductal contractile elements accompany most of the connective tissue "cables" (Table 1), and we presume that their mechanical action is similar. These cables are linear condensations of elastin-rich connective tissue that are positioned to support the free (end) and tented (bend) septal borders by their tensions and curvatures (34, 36) and are not found in the alveolar septa away from the cabled borders or in the three-way septal junctions, where the configurations are simply compatible with locally uniform septal tensions (33). The contractile elements of the duct, then, are positioned to both relieve the elastic elements of the duct and tense the surrounding alveolar network. Presumably this is the mechanism of the dramatic radial constriction of alveolar ducts reported by Nadel et al. (31) in cat lung fixed after barium sulfate embolism. Unfortunately, to date there have been no systematic measurements of the degree and circumstances of such deformation in situ. The tensions of the activated contractile elements in this series linkage goes in part to distort the elastic network and in part to increase the lung recoil. Figure 6, A and C, shows quantitative predictions of narrowing and change of recoil.

Importance of Incorporating the Dynamic Contractile Properties and the Series Linkage in the Model

The predictions of the model would be very different if we were to ignore the dynamic properties of activated contractile elements and assume instead that the stresses remain high throughout the breathing cycle. In particular, if the stresses in activated rat alveolar ductal elements were to lie on the MICC at end-expiration as well as at end-inspiration, parenchymal compliance would actually increase slightly with activation of the contractile elements (Fig. 7, curve b), an unexpected result that relates to the volume-related terms in Eqs. 9 and 11. Reduction of parenchymal compliance, then, is largely due to the substantial stiffness shown by the activated contractile element when it is stretched and released at typical breathing frequencies.


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Fig. 7.   Comparison of three models. a: Parallel (dotted-dashed line, ×). b: Constant stress (dashed line, +). c: Serial model (dotted line, ). Axes as in Fig. 6D. The parallel linkage model overestimates the effect on parenchymal compliance (compare curves a and c). Dynamic stiffness of the contractile element accounts for virtually all of the predicted reduction in parenchymal compliance (compare curves b and c).

The predictions of the model are also different for serial and parallel linkages. For example, a model in which the duct is linked in parallel with the surrounding parenchyma (Fig. 7, curve a) predicts greater effects on compliance than our model in which the linkage is serial (Fig. 7, curve c). There are two reasons for this. First, in a serial linkage, the relatively stiff activated contractile element has less