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Copyright © 2006, American Thoracic Society Extracellular Matrix Remodeling by Dynamic Strain in a Three-Dimensional Tissue-Engineered Human Airway Wall Model Department of Biomedical Engineering, Northwestern University, Evanston; Division of Pulmonary and Critical Care Medicine, Feinberg School of Medicine, Northwestern University, Chicago, Illinois; and Institute of Bioengineering, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland Correspondence and requests for reprints should be addressed to Melody A. Swartz, Ph.D., Integrative Biosciences Institute, SV - LMBM, Station 15, Ecole Polytechnique Fédérale de Lausanne (EPFL), 1015 Lausanne, Switzerland. E-mail: melody.swartz/at/epfl.ch Received December 3, 2005; Accepted March 31, 2006. This article has been cited by other articles in PMC.Abstract Airway wall remodeling is a hallmark of asthma, characterized by subepithelial thickening and extracellular matrix (ECM) remodeling. Mechanical stress due to hyperresponsive smooth muscle cells may contribute to this remodeling, but its relevance in a three-dimensional environment (where the ECM plays an important role in modulating stresses felt by cells) is unclear. To characterize the effects of dynamic compression in ECM remodeling in a physiologically relevant three-dimensional environment, a tissue-engineered human airway wall model with differentiated bronchial epithelial cells atop a collagen gel containing lung fibroblasts was used. Lateral compressive strain of 10 or 30% at 1 or 60 cycles per hour was applied using a novel straining device. ECM remodeling was assessed by immunohistochemistry and zymography. Dynamic strain, particularly at the lower magnitude, induced airway wall remodeling, as indicated by increased deposition of types III and IV collagen and increased secretion of matrix metalloproteinase-2 and -9. These changes paralleled increased myofibroblast differentiation and were fibroblast-dependent. Furthermore, the spatial pattern of type III collagen deposition correlated with that of myofibroblasts; both were concentrated near the epithelium and decreased diffusely away from the surface, indicating some epithelial control of the remodeling response. Thus, in a physiologically relevant three-dimensional model of the bronchial wall, dynamic compressive strain induced tissue remodeling that mimics many features of remodeling seen in asthma, in the absence of inflammation and dependent on epithelial–fibroblast signaling. Keywords: asthma, collagen, fibrosis, in vitro, myofibroblast Remodeling of the airway wall in asthma is characterized by thickening of the subepithelial lamina reticularis, increase in smooth muscle mass, fibroblast hyperplasia, mucus hypersecretion, edema, and angiogenesis (1–6). The subepithelial fibrosis that is often part of this remodeling is further characterized by the differentiation of fibroblasts to myofibroblasts, which are more contractile than fibroblasts and are likely to contribute to the alignment and stiffening of the airway matrix by secretion of types I, III, and V collagen (7–14). In addition, matrix metalloproteinases (MMPs) and their inhibitors (tissue inhibitors of metalloproteinases [TIMPs]), particularly MMP-2 and -9 and TIMP-1, are also increased in the airways in asthma, as they are key players in extracellular matrix (ECM) remodeling (15, 16). Evidence from clinical studies supports the concept that airway remodeling contributes to irreversible airflow obstruction and loss of pulmonary function over time in patients with chronic asthma (17, 18). The complex interplay of factors contributing to airway wall remodeling, which includes inflammatory and mechanical factors, is not well understood. Immune cells recruited to the inflamed airways release cytokines such as RANTES (CCL5), IL-13, TGF-β1, and cysteinyl leukotrienes C4, D4, and E4 (19–21) that can stimulate epithelial cells, fibroblasts, and smooth muscle cells (SMCs). In asthma, the increase in SMC mass and hyperresponsiveness can result in amplified bronchoconstriction (22–25), which is associated with compressive stresses on the epithelial cells and fibroblasts (26, 27). These mechanical forces may then further contribute to airway remodeling (28, 29); for example, static compressive stress on epithelial cells can alter the expression of TGF-β1, endothelin-1 (ET-1), early growth response-1 (Egr-1), epidermal growth factor receptor (EGFR) ligands, and fibronectin (30–33) (likely via an autocrine ligand signaling mechanism (34)), which may, in turn, activate fibroblasts to secrete matrix remodeling proteins (32). However, it is difficult to interpret the relevance of such stresses on matrix remodeling in the absence of a truly three-dimensional environment, where the ECM can (1) regulate cell–cell signaling by binding cytokines like RANTES (35) and growth factors like TGF-β1 (36); (2) buffer mechanical stress via local heterogeneity in matrix properties (37); and (3) itself signal cells with soluble ECM fragments liberated during matrix remodeling. Indeed, such environmental factors may act to either augment or decrease the remodeling response by coordinating the various cell responses to stress (32). In addition, two-way cell–cell communication is critical for mediating overall remodeling responses, since fibroblasts and epithelial cells may each sense stress differently and play different roles in matrix remodeling. Clearly, the three-dimensional ECM is critical to modulating a stress environment to its resident cells, and thus the role of mechanical stress in airway wall remodeling cannot be definitively determined without a three-dimensional tissue environment. In this study, we evaluate the effects of dynamic strain on matrix remodeling in a physiologically relevant three-dimensional tissue engineered human airway wall model. Several research groups, including our own, have recently demonstrated the advantages of three-dimensional airway co-culture models that provide an ECM and organization of a cellular community over traditional (two-dimensional, single-cell) culture models for recapitulating physiologic and pathophysiologic behavior (38–41). Our model here additionally mimics the mechanical function of the smooth muscle cells by incorporating lateral and dynamic compression to the three-dimensional culture system over a long-term period. We examine the effects of this mechanical strain on the airway wall with a focus on cell–cell and cell–matrix interactions. The results show that strain magnitudes of 10% and 30%, at frequencies of 1 and 60 cph, elicit selective responses in matrix remodeling that can be partly understood by the spatial deposition of ECM proteins with respect to cellular locations. In summary, we demonstrate that dynamic compression in our tissue engineered airway wall model can contribute to tissue remodeling similar to that seen in diseases such as asthma. MATERIALS AND METHODS Cell Culture IMR-90 human fetal lung fibroblasts (HLF; ATCC, Manassas, VA) were used at passage 14–16 and cultured in α-MEM supplemented with 10% fetal bovine serum (Gibco BRL, Grand Island, NY) and 1% penicillin/streptomycin (Sigma, St. Louis, MO). Normal human bronchial epithelial cells (HBEC; Clonetics, Walkersville, MD) were expanded in bronchial epithelial growth medium (BEGM; Clonetics) supplemented with 50 nM retinoic acid (Sigma) and used at passage 3. Detailed methods of culturing HLFs and HBECs and their characterization in three-dimensional collagen gels have been previously discussed (39). After cell expansion, each strain device (see below) was filled with a mixture of 5 × 105 cells/ml HLFs suspended in 2.5 mg/ml type I collagen isolated from rat tail tendon. The surface was then coated with an additional thin layer of acellular 2.5 mg/ml collagen before culture in media consisting of BEGM:DMEM (Gibco BRL) in a ratio of 1:1. After 2–4 h, HBECs were seeded on the surface at 2.5 × 105 cells/cm2 (although some models were cultured without HBECs for fibroblast-only controls). The system was cultured in submersion for 7 d to allow HBECs to reach confluence, and in air–liquid interface (ALI) for another 7 d to allow differentiation of HBECs. Strain Model and Characterization We designed a dynamic strain culturing device (Figure 1
To assemble the straining device, the sponge sides were fully extended to the length of the frame and clamped in place. Then collagen and cells were introduced to the model. After culture for 7 days submerged followed by 7 days in ALI in this expanded state, 10% or 30% compressive strain was imposed in the lateral direction at frequencies of 1 or 60 cph for a period of 48 h. This was achieved by releasing the clamp and applying strain (where compression was achieved by recoil of the elastic bands) via a computer-controlled, motor-driven mechanical arm (Figures 1B and 1C The local distribution of strain within the three-dimensional matrix was determined in separate experiments using 10-μm-diameter fluorescent polystyrene microbeads (Molecular Probes, Eugene, OR), suspended at 250,000 beads/ml in the fibroblast-embedded collagen, at well-distributed points along the length of the gel before epithelial cell seeding. After the culturing protocol outlined in the previous section, strain was applied for a period of 24 h and three-dimensional images were obtained using confocal microscopy. Strain was estimated for discrete bead clusters in the direction of strain application by taking the change in distance in any two of these clusters (i.e., pre-strain distance minus strained distance) and dividing by their pre-strained distance. A total of three to six measurements were made throughout each gel (n 7 for each strain level). In addition, the relative distribution of strain at different depths within the gel was determined by measuring the microbead density in four contiguous regions beneath the epithelium, each 88 μm in height (n = 3–6); this was assessed both before and after 24 h strain application of 10% or 30% strain at 1 cph for direct comparison between pre-strained and post-strained conditions.Immunofluorescence Ten-micrometer sections from paraffin-embedded samples, taken along the direction of applied strain, were stained with antibodies against human type III collagen (Oncogene, Boston, MA), type IV collagen (MP Biomedicals, Aurora, OH), fibronectin (Transduction Laboratories, Lexington, KY), and α-smooth muscle actin (α-SMA) (clone 1A4; Sigma). Standard immunostaining protocols were used, with 10% host serum (Dako, Glostrup, Denmark) of the secondary antibody used as a pre-staining block, biotinylated secondaries (Dako), and avidin-conjugated fluorescein for detection with DAPI-containing mounting medium (both from Vector Laboratories, Burlingame, CA). The relative amounts and spatial distributions of matrix proteins were analyzed using Metamorph software (Molecular Devices Corp., Downington, PA), and α-SMA expression was quantified by determining the percentage of nuclei with corresponding cytoplasmic staining for α-SMA. Protease Analysis Along with matrix deposition, increases in matrix metalloproteinases (MMPs) were examined after 48 h of strain application. For spatial distribution of MMP activity, in situ zymography was performed on cryosections (42). Briefly, unfixed thin cryosections were incubated in fluorescein-conjugated DQ-collagen type I (Molecular Probes) overnight in a dark humidified chamber at room temperature. Upon digestion or cleavage of the DQ-collagen substrate, the resulting fluorophore was excited at 495 nm and captured using an epifluorescence microscope. Additionally, MMP-2 and -9 released into the media were detected with gel zymography. Media collected at the end of experiments were run on gelatin-containing zymogram gels (BioRad, Hercules, CA), a substrate for many MMPs, including MMP-2 and -9, in a standard vertical mini-electrophoresis cell. The gels were then renatured for 30 min at room temperature, developed overnight at 37°C, counterstained in 0.5 wt% Coomassie blue, and destained (all solutions from BioRad). Pictures were captured using Kodak DC290 (Kodak, New Haven, CT), and band intensities analyzed with ImageJ (NIH, Bethesda, MD). Statistical Analysis Results are expressed as mean and standard error of at least eight samples per condition. Mean (± SEM) values were compared using one-way ANOVA with Tukey post hoc analysis, and considered significant for P values < 0.05. RESULTS Model Characterization With an applied lateral strain of 10% and 30%, the local strain within the collagen gel, as measured by microbead displacements, translated to 11.6 ± 1.4% and 38.7 ± 7.6%, respectively (Figure 1D Epithelial differentiation and cellular organization in the airway wall model were consistent with our previous findings in a similar unstrained model, which we adapted for the current study (39). We observed tightly packed and ciliated epithelial cells after 10 d of ALI (Figures 2A–2B
ECM Protein Deposition ECM proteins that are typically seen in remodeled airways include types III and IV collagen and fibronectin (Figure 3
We also saw qualitative differences in the deposition patterns of these proteins between strained and static samples (Figure 3 Quantitative analyses of ECM immunofluorescent stainings confirmed that types III and IV collagen (Figures 3C and 3F Protease Secretion ECM degradation by metalloproteinases is an important component of tissue remodeling. We therefore examined the spatial distribution of collagenolytic activity in cryosections of the airway wall model by in situ zymography and specifically assessed the activity of MMP-2 and -9 secreted into culture medium by electrophoresis and gelatin zymography (Figure 4
Gelatin zymography was performed on conditioned medium after each experiment (Figure 4B Myofibroblast Differentiation Fibroblast-to-myofibroblast differentiation is an important contributor to airway wall remodeling (43). Myofibroblasts are characterized by expression of α-SMA, which is associated with the contractile phenotype of these cells and may contribute to airway narrowing by an increased capacity for ECM protein synthesis (12). We found that 10% strain increased myofibroblast differentiation (quantified by number of α-SMA–positive cells) compared with static controls (Figure 5
Spatial Distribution of Remodeling As noted in Figures 3
We note that these spatial gradients were not due to nonuniform strain distribution at different depths within the gel. The inset graph in Figure 6D DISCUSSION As the importance of the microenvironment in governing cell responses has been demonstrated in numerous examples, three-dimensional tissue models are proving to be invaluable to studying cell and tissue physiology and pathophysiology (44, 45). As such, there is a growing appreciation for the importance of the biophysical environment, with appropriate mechanical cues, in both making the three-dimensional models more physiologic and also in studying the roles of such cues in pathophysiology (37). Our results, using a physiologically relevant three-dimensional tissue model of the human airway wall, demonstrate the importance of mechanical stress in airway wall remodeling and the importance of epithelial–fibroblast crosstalk in such remodeling. Our in vitro tissue model showed physiologically relevant cell organization and function: it has a pseudostratified epithelium with both ciliated and mucus-producing cells, and under baseline culturing conditions secreted basement membrane beneath the epithelium and type III collagen and fibronectin, among other matrix proteins, within the tissue. SMCs were absent in our model, which is important to consider in interpreting overall remodeling response, since they can also secrete molecular regulators of airway wall remodeling and fibroblast differentiation (23, 25). However, their mechanical function was simulated by inducing lateral dynamic strain with a custom-made strain device. It has been reported in computational models of airway mechanics in asthma that 40% shortening of the airway smooth muscle (ASM) can result in almost total occlusion of the airway (26), while in others, 30% shortening may translate to a > 15-fold increase in pulmonary resistance in asthmatic versus normal airways (46, 47). In additionally, isolated human bronchial smooth muscle cells from individuals with asthma were found to contract to a greater extent—more than 10% in length—compared with cells from normal subjects (24). In light of these results, we chose 10% and 30% as representative strain magnitudes of ASM shortening. In addition to strain magnitude, the duration and frequency of ASM contraction were important parameters to consider. While it is difficult to generalize the transient behavior of smooth muscle contraction, several studies have shown with isolated human bronchial ASM cells (24) and canine muscle strips (48) that 75% of their contractions are completed within 1.5–4 s. The time we imposed for contraction was ~ 4 s for 10% strain and ~ 12 s for 30% strain. In addition, frequency may also be an important factor in remodeling, but the duration of ASM hyperactivity can vary dramatically for individuals with asthma with variation in severity; thus it is difficult again to generalize the relevant frequencies to use for in vitro simulations. We chose 1 and 60 cph as possible low and high frequencies of ASM contraction over a 48-h period. Therefore, with these parameters, we attempted to represent reasonably relevant values of strain that may contribute to ECM remodeling. In our three-dimensional model, strain influenced cell–matrix and cell–cell interactions to change the architecture and organization of the ECM in the absence of inflammation. The deposition of types III and IV collagen was concentrated near the epithelium and decreased away from the epithelium, which was not observed in fibroblast-only conditions. The epithelium may play an important role as a source of profibrotic mediators such as TGF-β1 leading to matrix remodeling (8, 10). Furthermore, the spatial gradient in ECM protein deposition was amplified under all strain conditions compared with static controls (Figure 6D While this study examined only a few ECM proteins, our results correlate with remodeling characteristics seen in the human airways. In individuals with asthma, the subepithelial layer of the airway wall is thickened and enriched with types III and IV collagen, as well as type V collagen, fibronectin, and tenascin (1, 49, 50). Consistent with such pathologic remodeling, we observed deposition of types III and IV collagen concentrated in the subepithelial region and amplified with dynamic strain in our model. Interestingly, we found that strain decreased fibronectin deposition, indicating differential regulation of various ECM proteins in response to mechanical strain. In addition to HBECs and HLFs, myofibroblasts may have contributed to collagen production in our system. Myofibroblasts are commonly found in the thickened subepithelial collagen layer of the asthmatic airway wall (7, 14), and in the lungs of patients with pulmonary fibrosis (43). They play an important part in remodeling by matrix contraction (12, 51) and synthesis of types I and III collagen (52). In our system, myofibroblasts were found in increased numbers just beneath the epithelium, in the same spatial distribution as type III collagen under conditions of mechanical strain (Figure 6B and D In conclusion, we have shown that mechanical strain in a tissue engineered three-dimensional co-culture model of the airway wall can be an important determinant of ECM remodeling, as indicated by deposition/secretion of ECM proteins and MMPs, and by differentiation of myofibroblasts. In our three-dimensional airway wall model, we found lateral compressive strain on airway cells resulted in upregulation of types III and IV collagen and increased levels of secreted MMP-2 and -9, but downregulation of fibronectin. In addition, type III collagen was spatially correlated with myofibroblast differentiation. 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Curr Opin Pulm Med. 2005 Jan; 11(1):1-6.
[Curr Opin Pulm Med. 2005]Pharmacol Ther. 2001 Aug; 91(2):93-104.
[Pharmacol Ther. 2001]Respir Res. 2006 Jan 23; 7():11.
[Respir Res. 2006]Am J Respir Cell Mol Biol. 1990 Nov; 3(5):507-11.
[Am J Respir Cell Mol Biol. 1990]Exp Lung Res. 2005 Jul-Aug; 31(6):599-621.
[Exp Lung Res. 2005]Curr Drug Targets. 2006 Jan; 7(1):3-12.
[Curr Drug Targets. 2006]Proc Natl Acad Sci U S A. 2004 Mar 2; 101(9):3047-52.
[Proc Natl Acad Sci U S A. 2004]Am J Respir Crit Care Med. 2004 May 1; 169(9):1001-6.
[Am J Respir Crit Care Med. 2004]Am J Respir Crit Care Med. 2001 Nov 15; 164(10 Pt 2):S63-6.
[Am J Respir Crit Care Med. 2001]J Appl Physiol. 2000 Feb; 88(2):527-33.
[J Appl Physiol. 2000]Eur Cell Mater. 2004 Mar 10; 7():1-11; discussion 1-11.
[Eur Cell Mater. 2004]Tissue Eng. 2001 Apr; 7(2):191-202.
[Tissue Eng. 2001]Am J Physiol Lung Cell Mol Physiol. 2003 Aug; 285(2):L427-33.
[Am J Physiol Lung Cell Mol Physiol. 2003]Am J Physiol Lung Cell Mol Physiol. 2002 Dec; 283(6):L1181-9.
[Am J Physiol Lung Cell Mol Physiol. 2002]J Neurosci. 1999 Oct 1; 19(19):8464-75.
[J Neurosci. 1999]Am J Physiol Lung Cell Mol Physiol. 2003 Aug; 285(2):L427-33.
[Am J Physiol Lung Cell Mol Physiol. 2003]Chest. 2002 Dec; 122(6 Suppl):286S-289S.
[Chest. 2002]J Pathol. 2003 Jul; 200(4):500-3.
[J Pathol. 2003]Nat Rev Mol Cell Biol. 2006 Mar; 7(3):211-24.
[Nat Rev Mol Cell Biol. 2006]Tissue Eng. 2004 Jan-Feb; 10(1-2):309-20.
[Tissue Eng. 2004]Respir Res. 2004 Feb 26; 5():2.
[Respir Res. 2004]Am J Respir Crit Care Med. 2001 Nov 15; 164(10 Pt 2):S63-6.
[Am J Respir Crit Care Med. 2001]J Appl Physiol. 2000 Feb; 88(2):527-33.
[J Appl Physiol. 2000]Am Rev Respir Dis. 1989 Jan; 139(1):242-6.
[Am Rev Respir Dis. 1989]Am Rev Respir Dis. 1991 May; 143(5 Pt 1):1189-93.
[Am Rev Respir Dis. 1991]Am J Physiol Lung Cell Mol Physiol. 2002 Dec; 283(6):L1181-9.
[Am J Physiol Lung Cell Mol Physiol. 2002]Pulm Pharmacol Ther. 1999; 12(2):97-101.
[Pulm Pharmacol Ther. 1999]Eur Respir J. 2006 Jan; 27(1):208-29.
[Eur Respir J. 2006]Am J Respir Cell Mol Biol. 2005 Feb; 32(2):99-107.
[Am J Respir Cell Mol Biol. 2005]Curr Opin Pulm Med. 2005 Jan; 11(1):1-6.
[Curr Opin Pulm Med. 2005]Lancet. 1989 Mar 11; 1(8637):520-4.
[Lancet. 1989]Respir Res. 2006 Jan 23; 7():11.
[Respir Res. 2006]Am J Respir Cell Mol Biol. 1990 Nov; 3(5):507-11.
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