Abstract
The lung’s unique extracellular matrix (ECM), while providing structural support for cells, is critical in the regulation of developmental organogenesis, homeostasis and injury-repair responses. The ECM, via biochemical or biomechanical cues, regulates diverse cell functions, fate and phenotype. The composition and function of lung ECM become markedly deranged in pathological tissue remodeling. ECM-based therapeutics and bioengineering approaches represent promising novel strategies for regeneration/repair of the lung and treatment of chronic lung diseases. In this review, we assess the current state of lung ECM biology, including fundamental advances in ECM composition, dynamics, topography, and biomechanics; the role of the ECM in normal and aberrant lung development, adult lung diseases and autoimmunity; and ECM in the regulation of the stem cell niche. We identify opportunities to advance the field of lung ECM biology and provide a set recommendations for research priorities to advance knowledge that would inform novel approaches to the pathogenesis, diagnosis, and treatment of chronic lung diseases.
1. Introduction
Over the last three decades, our understanding of the many, diverse roles of the extracellular matrix (ECM) in mammalian biology has greatly advanced. It is now well established that, in addition to providing a scaffold for cells, the ECM provides essential biochemical and biomechanical cues directing tissue morphogenesis during development, homeostasis and injury-repair responses. The lung is characterized by a unique ECM composition and function that becomes markedly deranged in childhood disorders such as bronchopulmonary dysplasia (BPD), and adult diseases such as chronic obstructive pulmonary disease (COPD) and idiopathic pulmonary fibrosis (IPF) (Figure 1).
Figure 1. Role of the ECM in lung homeostasis and disease.
Normal lung ECM is critical for embryonic lung development and the maintenance of lung homeostasis in adulthood. Aberrant alterations of the properties of lung ECM, including composition, biomechanics, dynamics and topography, are characteristic of a number of adult and child lung diseases, including IPF, COPD and BPD. IPF = idiopathic pulmonary fibrosis; COPD = chronic obstructive pulmonary disease; BPD = bronchopulmonary dysplasia.
In this review, we assess the current state of the field of lung ECM biology, and identify opportunities to advance knowledge that would inform novel approaches to understand, diagnose, and treat lung diseases of childhood and adults. Areas of focus in this review include fundamental advances in ECM composition, dynamics, topography, and biomechanics; the role of the ECM in normal lung development and aberrant development; ECM dynamics and altered deposition in adult lung diseases, namely COPD and IPF; the role of ECM in inflammation/autoimmunity; and maintenance of the stem cell niche. The potential for ECM-based therapeutics for chronic lung diseases is considered. Our goal is to identify specific areas that represent gaps in our understanding of ECM biology, and to provide a set of recommendations for research priorities to advance the field of lung ECM biology.
2. The ECM in Lung Development
The lung begins as a respiratory diverticulum (lung bud) from the foregut at approximately 5 weeks post-conception in the human embryo and develops by stages until full development is complete. Alveologenesis is thought to proceed well into post-natal life in humans, reaching the maximal number of 200–300 million during early adolescence [1]. The stages of lung development consist of a pseudoglandular stage (human: 5–17 weeks of gestation; mouse: E9.5-E16.6), canalicular stage (human: 16–25 weeks; mouse: E16.6-E17.4), terminal saccular stage (human: 24–32 or 36 weeks; mouse: E17.4-P5), and the alveolar stage (human: 32 or 36 weeks to childhood or early teen years; mouse: P5-P28 or P42) [2, 3]. During these stages, the initial processes of branching morphogenesis, vasculogenesis and angiogenesis transition to alveolar septation and maturation accompanied by marked changes in lung ECM composition. The two main concepts regarding ECM in lung development are: (1) the lung ECM, not only provides vital physical support or a “scaffold” for resident cells of the lung and contributes to its mechanical properties but, is also essential for biophysical and biochemical signaling of lung cells, and (2) reciprocally, lung cells regulate the production and deposition of ECM over the course of development [4]. The processes by which ECM regulates lung cells and lung cells, in turn, produce or break down ECM are critical to normal lung development; alterations in these processes may lead to impaired lung development such as that seen in BPD. Additionally, abnormal recapitulation of developmental processes may contribute to disorders such as IPF, pulmonary arterial hypertension, or lung cancer with corresponding alterations in the ECM [5, 6].
The composition and topography of lung ECM changes over the course of lung development, and is very heterogeneous depending on location (e.g. close to bronchi, in alveolar septum, in pleura etc.) and developmental stage (e.g. saccular stage vs. early alveolar septation vs. mature adult lung). The lung ECM in fetal, neonatal and adult tissues are distinct, and temporally regulates the shape, migration, differentiation of resident cells [7, 8]. For example, during murine embryonic development, all five laminin γ chains are present, whereas adult lungs express primarily laminins γ3, γ4, and γ5 [9–11]. Fetal murine lung tissues contain more total GAGs and proteoglycans, and higher expression of collagen I and III in the pleura and the alveolar septae, in comparison to adult tissues [12]. Collagen comprises 16% of the pulmonary artery in young adults, and decreases to 10% in individuals over 80 years old [13, 14]. The ECM is constantly remodeled, with multiple post-translational modifications of various protein components. Various proteolytic enzymes, such as the matrix metalloproteinases (MMPs), and their endogenous inhibitors, tissue inhibitors of metalloproteinases (TIMPs), are involved in remodeling the ECM during development and in ECM homeostasis. The fetal human (and mouse) lung is characterized by greater proteolytic profile (higher MMP-2 and less TIMP-3 expression), while the adult lung is more anti-proteolytic (less MMP-2 and greater TIMP-3), with similar constitutive expression of MMP-14, MMP-20, TIMP-1, and TIMP-2 [15].
Airway branching and ECM
Airway branching (branching morphogenesis) that occurs primarily during the pseudoglandular stage of lung development is driven by interactions between the epithelium and the mesenchyme with active participation of ECM components, such as fibronectin, laminin, tenascin, and syndecan [4, 16]. Transplanting mesenchyme from a region wherein branching is occurring can induce branching of epithelial tissue where it does not, otherwise, occur [17]. During early human lung development, the collagens I, III, and VI and PGs (decorin, biglycan, and lumican) are primarily seen at the epithelial-mesenchymal interface, forming a sleeve around the developing airways [18]. The PG component of the ECM may regulate airway branching, in part related to the ability of sulfated PGs to bind FGF10, which is necessary for branching [19]. Comprehensive gene expression profiling of murine lung development identified patterns of ECM gene expression, and determined possible relationships among groups of these genes that coordinate defined developmental processes [20].
Alveolar septation and ECM
The saccular stage is characterized by further widening of the air spaces and a thinner air-blood interface, accompanied by a reduction in the mesenchymal ECM, and organized deposition of elastin which is maximal along the sites of the future secondary crests (alveolar septa) [4]. Tropoelastin, the precursor of elastin, is produced during alveolar septation and is cross-linked by lysyl oxidase, and this modification facilitates alveolar septation. The deposition of elastin leads to elevation and suspension of the secondary crest that subdivides primary saccules. The secondary crest serves as a ridge that runs along the saccular wall, dividing it into two or more parts [21]. It is thought that the elastin and collagen fibers in the developing secondary crest tether portions of the primary saccular wall, restricting their motion, while the remaining portions of the wall expand further outward, forming the alveolus [21]. The process of alveolar septation requires other ECM proteins such as tenascin-C and growth factors such as PDGF-A [22]. Alveolar septation is followed by maturation of the capillaries that surround the alveolar space [2, 16]. PGs such as chondroitin sulfate and decorin are also localized to the secondary septa, and may also have a role in alveolar septation [16]. Similar to branching morphogenesis, it is likely that the degree of sulfation of the PGs is important for alveolar septation. Mice lacking the enzyme sulfatase-modifying factor 1 (Sumf1) which activates all sulfatases manifest an arrest in alveolarization associated with increased sulfated GAG deposition and increased TGF-β signaling [23]. Membrane-type 1 matrix metalloproteinases (MT1-MMP, also known as MMP-14) is involved in alveolar development, although mice deficient in MMP-3, 7, 9, or 12 develop normal lungs [24]. MMP-2 deficiency leads to delayed alveolarization in association with thickened pulmonary arteries and increased perivascular collagen and elastin [25].
Mechanotransduction from hydraulic pressure and airway peristalsis may also contribute to lung development. For example, marked reduction in amniotic fluid volume (oligohydramnios) is associated with lung hypoplasia in the fetus, presumably due to loss of fluid volume and decreased internal stenting force [26, 27]. Recent studies support synergistic control of alveolar epithelial cell differentiation by the concerted action of mechanical forces and local growth factors [28, 29]. Bronchial myogenesis is regulated by intraluminal pressure, and mechanical stretch modulates alternative splicing of serum response factor (SRF) and, thereby, regulates downstream myogenic genes [30]. Mechanical strain differentially regulates ECM molecules in fetal lung cells [31]. The cross-linker lysyl oxidase modulates tissue stiffness, which regulates low-density lipoprotein receptor-related protein (LRP) 5 and Tie 2 signaling (increased in cells on stiffer matrices), thus, controlling angiogenesis during alveolar septation [32].
Abnormal lung development
BPD that occurs in preterm infants is characterized by an inhibition of alveolar development, with varying degrees of inflammation, fibrosis, and abnormal vascular remodeling [33, 34]. Autopsy studies have documented that parenchymal collagen increases through development, and that preterm infants before 30 weeks have a delicate and intricate interstitial collagen network [35]. In BPD, there is an arrest of septation, with thickened collagenous saccular walls and increased interstitial collagen [35]. The volume of elastic tissue is also tightly regulated during fetal life, and doubles in the lung parenchyma from 22 to 30 weeks, and then doubles again over 20 weeks [36]. The amount of lung elastin in BPD increases with increasing respiratory distress severity, but the lung elastic tissue is disorganized and not in alveolar septa but in aberrant sites such as in the saccular-alveolar duct junction, which may represent sites of highest mechanical stress [36]. There is evidence that alterations in elastin may be secondary to changes in lysyl oxidase expression and activity [37, 38], perhaps combined with increased elastin degradation and uncoupling of its synthesis and assembly [39–41]. Impaired alveolar septation is among the most frequent histopathologic abnormalities found in children with suspected interstitial and diffuse lung diseases, and frequently occurs in association with chromosomal abnormalities and congential heart disease [42]. Abnormal alveolar development is also seen in association with Down syndrome [43].
3. ECM Composition and Dynamics
The matrisome is defined as the ensemble of ∼1000 genes encoding ECM and ECM-associated proteins [44, 45]. The nature of many ECM proteins (large size, cross-linking, disulfide bonds, glycosylation, unique post-translational modifications, requirement of chaotropic agents for solubilizing etc.) has hindered their biochemical analysis and, until recently, only surrogate measurements (transcript levels, immunohistochemistry) were available to study the composition of in vivo ECMs. Mass spectrometry-based proteomics has emerged as a valuable method to study the global composition of the ECM of tissues and organs [46–54] (Figure 2). The adult murine lung matrisome comprises 143 matrisome proteins that can be divided into core matrisome proteins (glycoproteins, collagens and proteoglycans) and matrisome-associated proteins (including remodeling enzymes and ECM-affiliated proteins) [48, 53, 54] (Table 1). Proteomics has been applied to study the dynamics (turn-over or degradation vs. neo-synthesis) of the ECM compartment in a mouse model of lung fibrosis [53, 55], and more recently to human end stage interstitial lung disease. These studies have identified sets of matrix proteins upregulated during the course of the fibrotic response [56–58]. Such studies will aid in determining how global composition and organization of the lung ECM changes over time and in the context of disease progression.
Figure 2.
A, An experimental pipeline to characterize the lung ECM using proteomics. B, Comparison of the lung ECM composition, defined by mass spectrometry-based proteomics from 3 independent studies (as denoted in the figure).
Table 1. Lung ECM composition.
Proteins were identified by mass spectrometry-based proteomics from three independent studies (see text for more details).
| CORE MATRISOME | |||
|---|---|---|---|
| ECM Glycoproteins | Collagens | Proteoglycans | |
| 5430419D17RIK | LGI3 | COL10A1 | ACAN |
| ABI3BP | LTBP1; LTBP2; LTBP3; LTBP4 | COL11A1; 11A2 | ASPN |
| ADIPOQ | MATN1; MATN2; MATN4 | COL12A1 | BGN |
| AEBP1 | MFAP2; MFAP4; MFAP5 | COL13A1 | CHAD |
| AGRN | MFGE8 | COL14A1 | DCN |
| AW551984 | MGP | COL15A1 | FMOD |
| BMPER | MMRN1; MMRN2 | COL16A1 | HAPLN1 |
| CILP | NDNF | COL17A1 | HAPLN3 |
| CILP2 | NID1; NID2 | COL18A1 | HAPLN4 |
| COLQ | NPNT | COL19A1 | HSPG2 |
| COMP | NTN1; NTN3; NTN4 | COL1A1; 1A2 | IMPG1 |
| CRISPLD2 | PAPLN | COL22A1 | LUM |
| DPT | PCOLCE; PCOLCE2 | COL23A1 | OGN |
| ECM1; ECM2 | POSTN | COL24A1 | PODN |
| EFEMP1; EFEMP2 | PXDN | COL25A1 | PRELP |
| EGFEM1 | RELN | COL27A1 | PRG2 |
| ELN | SBSPON | COL28A1 | PRG3 |
| EMID1 | SLIT3 | COL2A1 | VCAN |
| EMILIN1; EMILIN2 | SNED1 | COL3A1 | |
| FBLN1; FBLN2; FBLN5 | SPARC; SPARCL1 | COL4A1; 2; 3; 4; 5; 6 | |
| FBN1; FBN2 | SPON1 | COL5A1; 5A2; 5A3 | |
| FGA; FGB; FGG | SRPX; SPRX2 | COL6A1; 2; 3; 4; 5; 6 | |
| FGL2 | SVEP1 | COL7A1 | |
| FN1 | TGFBI | COL8A1; A2 | |
| FRAS1 | THBS1; THBS2; THBS3 | COL9A1; 9A2; 9A3 | |
| GLDN | THSD4 | ||
| HMCN1; HMCN2 | TINAG; TINAGL1 | ||
| IGFALS | TNC; TNXB | ||
| IGFBP6; IGFBP7 | VTN | ||
| IGSF10 | VWA1; 3A; 5A; 5B1; A9 | ||
| KCP | VWF | ||
| LAMA1; A2; A3; A4; A5; B1; B2; B3; C1; C2; C3 | WISP2 | ||
| MATRISOME-ASSOCIATED | ||
|---|---|---|
| ECM-affiliated proteins | ECM Regulators | Secreted Factors |
| ANXA1; 2; 3; 4; 5; 6; 7; 9; 11 | 1810010H24RIK | ANGPT1 |
| C1QA; C1QB; C1QC; C1QL2 | A2M | ANGPTL2 |
| C1QTNF2; C1QTNF5; C1QTNF7 | ADAM10; 17; 19; 9 | BMP3; BMP6 |
| CLEC11A; CLEC14A | ADAMTS14; 16; 17; 5; 9 | CHRD; CHRDL1 |
| COLEC12 | ADAMTSL1; L3; L4; L5 | CRLF1 |
| CSPG4; CSPG5 | AGT | CXCL15 |
| FCNA | AMBP | EGFL7 |
| FREM1; FREM2 | CD109 | FAM132A |
| GPC4 | CPN2 | FGF1; FGF2 |
| HPX | CSTB | FLG2 |
| ITLN1 | CTSB; CTSD; CTSG | HCFC1 |
| LGALS1; LGALS3; LGALS7; LGALS8; LGALS9 | ELANE | HGFAC |
| LMAN1 | F13A1; F13B | IL16 |
| MBL1 | F2 | INHBC |
| MBL2 | HRG | INHBE |
| PLXDC2 | HTRA1 | MEGF6 |
| PLXNA1L PLXNB2; PLXNC1 | HYAL2 | NRG1 |
| SDC3 | ITIH1; 2; 3; 4; 5 | PDGFB |
| SEMA3A; 3B; 3C; 3E; 3F; 3BG | KNG1; KNG2 | PDGFD |
| SFTPA1; SFTPB; SFTPC; SFTPD | LOX; LOXL1; L2; L3; L4 | PF4 |
| MMP19; 1B; 2; 20; 28; 9 | RPTN | |
| MUG2 | S100A10; A11; A13; A4; A6; A8 A9; B | |
| PLAT | SCUBE1; SCUBE2 | |
| PLG | TGFB1; TGFB2 | |
| PLOD1; 2; 3 | TNFSF10; TNSF12; TNSF13 | |
| PRSS1 | VEGFA | |
| PZP | WNT2; WNT3A; WNT4; WNT5B | |
| SERPINA1A; 1B; 1D; 1E; 3C; 3G; 3K; 3M; 3N | ||
| SERPINB12; B1A; B1C; B3A; B3C; B3D; B5; B6A; B6B; B9; B9B; B9C | ||
| SERPINC1; E1; E2; F1; F2; G1; H1 | ||
| TGM1; 2; 3 | ||
| TIMP3 | ||
The development of an atlas of the lung ECM using experimental models and human samples and, using the methods outlined below, has the potential to accelerate knowledge of ECM composition and dynamics. The atlas would compile ECM profiles of normal (different developmental stages, adults) and diseased lung tissues and would, in addition, include regional characterization (pleura, trachea, bronchi, alveolar interstitium, vessels, upper lobe vs. middle lobe vs. lower lobe). The atlas would integrate global “-omics” data to include: (1) quantitative proteomics to identify ECM isoforms and post-translational modifications (such as cross-linking, phosphorylation, etc.) [59]; (2) ECM degradomics to identify the release of active cryptic fragments of ECM proteins that play key roles in disease progression, and to identity neo-epitopes within the ECM that could serve as biomarkers of disease progression or response to treatment [60, 61]; and (3) glycomics to identify the nature and abundance of polysaccharides and glycosaminoglycans (GAGs) in the lung ECM [62].
Newer -omics technologies will help unravel the complex interactions of genes, proteins, lipids and metabolites at unprecedented levels of detail and resolution. Such methods are comprised of proteomics analysis, including post-translational modifications and activity measurements at ever-lower protein concentrations, single cell fluorescent in situ hybridization (FISH) for multiple gene transcripts, and mass spectrometry imaging approaches for proteins, metabolites and lipids [63–70]. For example, a large compendium of peptides identified in a large set of tandem mass spectrometry proteomics experiments from multiple organisms is publicly available (www.peptideatlas.org). Many of these approaches, along with additional imaging platforms (CT, MRI, phase-contrast X-ray, cryomicrotome/optical, confocal, and immunohistochemistry) are currently being utilized by NHLBI’s LungMAP consortium to create an open-access reference resource and comprehensive 3D tissue/cellular/molecular atlas of the late-stage developing mouse and human lung (www.LungMAP.net). There are limitations of “omic” type data, specifically due to variations in sample processing, analytical techniques, and normalization of resulting data. These limitations are primarily evident with low abundance proteins that may exhibit marked inter- and intra-sample variation. However, both spatial (location relative to structures, cells, and other ECM proteins) and temporal data can be obtained when techniques such as in situ proteomics complement “omic” studies, and when samples are analyzed in series. Together, these data will provide important clues to the identification of structural and regulatory events that occur during lung development, injury, and repair.
In addition to compositional changes of the ECM with disease progression, the architecture of the ECM also changes as indicated by methods that monitor the ECM at the macromolecular scale; one example of such approaches is second harmonic generation microscopy [71]. Finally, technologies are needed to study not just ECM composition and remodeling, but also the post-translational modifications that affect the function of various ECM proteins. Just as cross-linking of collagens can be measured biochemically with lysylpyridinoline, hydroxylysylpyridinoline and pentosidine [72, 73], imaging of such crosslinks using nondestructive methods is likely to be informative. There is ample experimental evidence that sulfation, glycosylation, tyrosine cross-linking, and glycation (among others) are all potentially deranged in human lung diseases [74–77]; visualizing such changes in real-time will further enhance our understanding of the functional significance of such post-translational modifications.
4. ECM Topography and Biomechanics
Matrix topography and stiffness are major physical properties of the ECM. Matrix topography refers to the structural characteristics of the ECM. It includes the architecture, geometry, size and organization of the matrix network, ranging from the nano-scale level to the macro-scale level. The most substantial influence of matrix topography on cells is the impact on cell morphology. Aligned matrix fibers generate anisotropic stress that changes cell shape by a process known as contact guidance [78]. Matrix topography also regulates stem cell differentiation and cancer cell invasion. Human mesenchymal stem cells cultured on titanium dioxide nanotubes with various dimensions differ in cell morphology. Larger nanotubes promote mesenchymal stem cell elongation and differentiation into osteoblasts in the absence of osteogenic media, whereas smaller nanotubes permit stem cell adhesion without significant osteogenic differentiation [79]. In a 3D cell invasion model, highly aligned collagen matrices promote breast cancer cell invasion as compared to low alignment collagen matrices [80]. In normal mammary tissues, collagen fibers are arranged in parallel to epithelium and along the axis of the gland. However, carcinoma-associated fibroblasts remodel tumor ECM and reorient collagen fibers perpendicular to the gland. Such reorganized collagen fibers could act as “highways” to facilitate breast cancer cell invasion into the neighboring tissues [81]. Interestingly, lung (myo)fibroblasts isolated from patients with IPF are characterized by an invasive phenotype [82–84]. Stiffened fibrotic ECM promotes IPF lung myofibroblast invasion into the basement membrane through expression of mechanosensitive α6 integrin on the cell surface [84]. It has been observed that matrix fibers are arranged with their long axis parallel to the long axis of the alveolar septa at the fibroblastic foci in IPF/UIP [85]. The highly organized, anisotropic matrix fibers and specific integrins may aid IPF (myo)fibroblast invasion to form a continuous fibrotic reticular network (Figure 3).
Figure 3. Matrix stiffness and topography guide IPF myofibroblast invasion into the ECM.
Stiffened fibrotic matrix upregulates α6 integrin expression by ROCK-dependent activation of c-Fos/c-Jun transcription factor complex. Interactions between α6β1 integrin and the BM bring lung myofibroblasts into the close proximity to the BM. This facilitates MMP-2/9-mediated pericellular proteolysis of BM component collagen IV, leading to lung myofibroblast invasion (see ref. #84 for details). Matrix stiffness sensing by α6 integrin and the highly organized, anisotropic matrix fibers, which could act as “highways” that aid IPF myofibroblast invasion through the BM and interstitial ECM to form a continuous fibrotic reticular network. MFB = myofibroblast; ROCK = Rho kinase; MMP = matrix metalloproteinase; BM = basement membrane; AEC = alveolar epithelial cell.
To date, the mechanotransductive mechanisms involved in the conversion of matrix topographic and stiffness cues into intracellular signals remain poorly understood. Integrins are important signal molecules and membrane receptors that link the cytoskeleton to the ECM. The ECM-integrin-cytoskeleton complex potentially acts as a molecular clutch in the process of contact guidance. Specific topographic features of the ECM may transmit cell signals by spatially biased focal adhesion formation, preferential actin cytoskeletal remodeling, and/or confined protein absorption and patterning [86, 87]. Additionally, matrix topography induces deformation of nuclear architecture, which may alter the profile of gene expression [88].
Many micro/nanofabrication technologies have been developed for tissue engineering applications. These technologies can be utilized to create geometrically defined matrix structures for the study of matrix topography-cell interactions. For example, electrospinning creates fibrous scaffolds with controlled orientation distributions (e.g., random fibers, aligned fibers) [89]. Both natural polymers, such as collagen, and synthetic polymers have been used to create electrospun nanofibers. In contrast, photolithography employs light to produce defined topographic features, such as grooves, pillars and pits [90]. A recently developed topography array incorporates thousands of distinct topographical units on a single chip to enable systematic and high throughput studies of cell-matrix interactions [91].
Biomechanics of lung ECM have been studied using atomic force microscopy (AFM) to analyze micromechanical tissue properties. While this method is invasive and, thereby, imposes substantial alterations from the physiological state of perfused and ventilated lung within the intact thoracic cavity, it has the advantages of high sensitivity and spatial resolution [92]. Using AFM, it has been possible to compare the elastic or Young’s modulus of normal and fibrotic lung tissues, with pronounced increases in tissue elastic modulus (stiffening) identified in human IPF-derived lungs both before and after decellularization [93], and similar changes are observed in intact tissue obtained from mouse models of lung fibrosis [92, 94]. AFM methods have also allowed regional differences in lung ECM properties to be measured, including higher modulus values in the pleura and vessels compared to the alveolar walls in decellularized lung matrices [95–97], and higher modulus values in the airways than in the surrounding parenchyma in intact lung tissue [98]. Some systematic differences in measured mechanical properties are observed across these studies, in tandem with variations in the specific AFM methodologies applied (e.g. tip size and shape, indentation depth and velocity) and methods of tissue preparation (e.g. intact versus decellularized tissue, thickness of tissue slice). Thus, while the overall trends consistently demonstrate increased tissue stiffness in fibrotic parenchyma, and increased moduli of pleura and conducting airways and vessels relative to alveolar regions, it will be important to systematically test the influence of tissue preparation and AFM methodology to gain greater confidence in the quantitative values reported for lung tissue mechanical properties. Building on current approaches, AFM should be coupled with other optical techniques to correlate local mechanical properties with the underlying architecture, and perhaps even composition, of the ECM, to provide novel insights into structure-function relationships of the lung ECM. In addition to the study of fibrosis, AFM mechanical characterization should also be applied to the study of other chronic lung remodeling diseases, such as COPD, asthma and pulmonary hypertension; additionally, such approaches could be extremely valuable in characterizing the mechanical microenvironment of the developing lung [32, 38, 99].
Multiple lung cell types, including fibroblasts, macrophages, epithelial and endothelial cells exhibit functional changes that depend on matrix stiffness spanning the range observed in normal and diseased lung tissue [32, 92, 94, 100–106]. Matrix stiffness effects are typically observed in hydrogels, silicon rubbers, and natural biomaterials through changing bulk polymer concentration, crosslink density between polymer chains, or a combination of the two; these materials can be fabricated over a wide range of stiffness from 101 to 106 Pascal (a unit of stiffness) [107]. Once seeded on these substrates, matrix stiffness-stimulated intracellular signaling appears to occur through conserved growth factor- or transcription factor-mediated pathways. For example, increasing matrix stiffness enhances the capacity of cells to generate tractions, the forces that cells transmit to the ECM [106] and, thereby, activate TGF-β from a latent matrix-bound form [94, 108], linking matrix stiffness to activation of matrix synthesis. Increasing matrix stiffness also engages and activates the mechanoregulatory transcription factors, MRTF [102] and YAP/TAZ [109] in lung fibroblasts (see Section 6 for more details). Pharmacological inhibition of Rho kinase upstream of MRTF-A [110], or MRTF itself [109], attenuates bleomycin-induced fibrosis, while expression of constitutively active YAP or TAZ confers fibrogenic potential to fibroblasts adoptively transferred to the lungs [109]. Interestingly, human fibroblasts isolated from patients with IPF remain responsive to inactivation of these pathways [109, 110], and to changes in matrix stiffness in general [105], suggesting that targeting the matrix mechanical environment or its downstream signaling pathways may be beneficial in diseases of aberrant matrix remodeling.
5. The ECM in Emphysema
COPD-emphysema (termed COPD here) is a prototypical disease of aberrant lung ECM. The association of excessive elastase activity with alveolar wall breakdown in animal models coupled with the accelerated COPD phenotype in persons with alpha-1 antitrypsin deficiency supports the concept of a protease-antiprotease imbalance [111]. However, several recent observations suggest greater complexity to this paradigm: (a) increased elastin and collagen content in distal compartments of COPD lungs; (b) small airway fibrosis in COPD lungs; (c) emerging subphenotype of combined pulmonary fibrosis and emphysema (CPFE); (d) genetic emphysema syndromes with perturbations in matrix turnover and TGF-β1 pathways; and (e) impaired antioxidant defenses in COPD lungs. These findings invoke a pathogenetic scheme in which altered matrix composition may not only reflect upstream signaling disturbances, but also direct adverse sequelae in the distal lung.
ECM content in COPD lungs
The predominant matrix elements in the distal lung are collagen I, collagen III and elastin [12]. Collagen I likely confers tensile strength; collagen III, flexibility; and elastin, recoil properties. In the COPD lung, the combination of tissue destruction and matrix remodeling leads to dynamic changes in matrix content reflecting primary disturbances and compensatory responses. Although single time-point analyses of matrix composition do not fully describe the sequence of changes throughout the course of the disease, our current understanding of the lung ECM is almost exclusively based on such approaches. Cross-sectional studies albeit with small sample sizes consistently show an increase in collagen content and altered fibril morphology in lungs of patients with moderate and severe COPD [112–114]. Abnormal elastin fibers (fragmented, clumped) with variable changes in elastin content are evident in emphysematous lungs [112, 113, 115, 116]. Animal models of emphysema, typically involving airway elastase instillation or chronic cigarette smoke exposure, also demonstrate increased collagen and elastin synthesis with matrix deposition during the establishment and progression of the airspace lesion [117–121]. Various other ECM components such as proteoglycans, basement membrane components and matrix binding properties are variably altered in human COPD lungs and animal models of emphysema. Lung proteoglycans, known to be increased in COPD, can also inhibit elastic fiber assembly [116, 122]. These data support a more complex process of ECM destruction and defective repair contributing to altered biomechanical forces, COPD development and progression. Whereas much research in patients and animal models has focused on the ECM destruction, the mechanisms of aberrant repair are poorly detailed. A better understanding of the repair axis is crucial as efforts to reconstruct the damaged COPD lung will need to integrate the correction of adverse reparative cascades and the re-initiation of normal matrix synthesis and regenerative programs.
Small airway fibrosis in COPD lungs
Airway obstruction in COPD is primarily caused by architectural and functional changes in small airways attributed to both loss of alveolar attachments (feature of emphysema) and airway wall thickening [123–125]. Several studies demonstrate a significant component of airway wall remodeling with specific matrix alterations in COPD. Increased collagen with reduced elastin in the small airways of COPD lungs has been observed [126–128]. More recently, a loss of distal airways effectively destabilizing the distal airspace has been found to punctuate COPD [129]. How abnormal matrix composition interfaces or contributes to airway loss is unclear. Clearly, the widespread notion that matrix alterations are divergent in the airway and airspace (increased and reduced, respectively) ignores the consistent abnormalities present in both compartments, as described above. However, relative differences in the expression of matrix proteins in alveolar versus airway compartments in a murine COPD model suggest that there may be temporal and compartmental distinctions in the reparative response [130]. By this paradigm, a persistent repair response in the airway culminates in airway fibrosis, while an attenuated response in the alveoli manifests in airspace enlargement.
Combined pulmonary fibrosis and emphysema
A recently recognized subphenotype of COPD is CPFE, an underdiagnosed disorder manifesting in coexisting pulmonary fibrosis and emphysema [131, 132]. Although standardized diagnostic criteria are lacking, several cross-sectional and observational studies suggest that the prognosis for CPFE may be worse than that for emphysema or pulmonary fibrosis alone [133–136]. The demonstration of increased collagen content in the airspace and small airways of COPD lungs may provide a unifying mechanism for this phenotype. In this view, the primary or compensatory increase in collagen deposition in COPD represents an early fibrotic response coincident with developing emphysema. A second hit (cigarette smoke, oxidative stress, inflammation) or simply temporal progression may confer the full CPFE phenotype. Further studies of the CPFE phenotype are required to determine the underlying mechanisms for this mixed phenotype.
Genetic emphysema syndromes
Whether genetic disorders displaying progressive airspace enlargement can inform the understanding of acquired COPD-emphysema is debatable. These syndromes do establish that defects in ECM composition and TGF-β signaling cascades can lead to airspace dysmorphology. Emphysema is a minor phenotype of cutis laxa, Marfan Syndrome and vascular Ehlers Danlos Syndrome, single gene disorders caused by mutations in ECM proteins (fibulin 5, elastin, fibrillin 1, collagen III, latent TGF-β binding proteins, respectively) [137–142]. Whereas several GWAS studies of COPD-emphysema patients did not reveal any matrix proteins as candidate genes, a recent tissue profiling analysis identified fibulin 5 as a candidate COPD gene [143–146]. Additionally, distinct genes in the TGF-β pathway have been implicated in genetic and gene expression studies of COPD [143, 147–149]. This suggests that COPD may result from either primary disturbance in matrix remodeling pathways (e.g. TGF-β1, matrix metalloproteases), secondary mechanisms conferring matrix abnormalities (e.g. exaggerated repair cascades), a combination of these, or processes altogether distinct from genetic matrix disorders. Additionally, a distinct subset of COPD patients may have low abundance pathogenic alleles in matrix proteins mimicking Mendelian disorders of the matrix. Identification of novel candidate genes in well-characterized subphenotypes of COPD may contribute to our understanding of pathophysiologic patterns of matrix remodeling.
Antioxidant defenses in COPD
Oxidative stress is a known contributor to COPD development and progression, evident in both patient-based studies and animal models [150, 151]. An interesting connection between the abnormal matrix of COPD and oxidative stress is the antioxidant superoxide dismutase 3 (SOD3). This isoform of SOD is secreted and distributes in the extracellular space. Recent studies provide evidence of SOD3 binding to the ECM proteins, fibulin 5 and collagen I [152, 153]. Reduced SOD3 levels have been documented in murine models of BPD and COPD, likely through inhibition of ECM fragmentation and subsequent chronic inflammation [154, 155]. Genetic studies have also implicated SOD3 as a candidate gene for reduced lung function and COPD [156, 157]. Further exploration of the lung matrix as a repository for regulatory proteins that determine lung homeostasis is warranted.
Recent studies of COPD have allowed investigators to move beyond the protease:antiprotease paradigm to incorporate emerging concepts regarding the complex, dynamic aspects of matrix deposition and turnover that define the disease. These mechanisms could determine both COPD severity and progression. Future research efforts should not only characterize the alterations in matrix content and organization in COPD, but also explore strategies to engage reparative and regenerative pathways that restore lung structure and function.
6. The ECM in Fibrosis
Alveolar epithelial injury induces a stereotypic response characterized by disruption of the alveolar basement membrane and the deposition of a provisional matrix rich in fibrin and fibronectin. Reparative fibroblasts are recruited to this milieu where they replace and remodel the provisional matrix into a more organized and cross-linked collagen-rich matrix [158]. In most cases, the repair response resolves with formation of a physiologic scar that does not disrupt tissue architecture or function. Such resolution of wound repair with the restoration of homeostatic function requires the clearance of excessive extracellular matrix and the apoptosis of the fibroblast/myofibroblast population [158]. These processes must be tightly regulated, both temporally and spatially, as the impaired loss of fibroblasts and insufficient clearance of matrix is associated with fibrosis while extensive loss of fibroblasts and matrix might lead to emphysema [159, 160]. The precise mechanisms regulating collagen turnover and fibroblast apoptosis, and the extent to which these biologic processes are linked, remain poorly understood.
The capacity of the injured lung to heal is perhaps best exemplified by the clinical course of patients with acute respiratory distress syndrome (ARDS). Regardless of cause, ARDS manifests as diffuse alveolar damage with a rapid reparative response characterized by the upregulation of collagen detected in the alveolar space [161, 162]. Consistent with other studies of wound repair, the resolution of ARDS is associated with evidence of fibroblast apoptosis within airspace granulation tissue [163]. Despite the extensive injury and the associated fibrotic response, the majority of ARDS survivors have normal or near-normal restoration of lung mechanics and gas exchange over the course of a year [164].
The ability of the chronically injured lung with established fibrosis (or emphysema) to heal or regenerate is less well established. Evidence in other organs, including kidney, liver, and muscle suggests that fibrosis is not, in and of itself, an irreversible process [165–169]. Furthermore, existing evidence in both human lung disease and animal models supports the concept that fibrosis can resolve [110, 163, 170, 171]. Nevertheless, it is unclear why fibrosis is persistent and progressive in certain disease processes such as IPF. An extensive body of literature demonstrates that “pro-fibrotic” soluble and matrix factors stimulate fibroblast synthesis of collagen and other matrix components. However, the mechanisms regulating matrix degradation, and how these mechanisms are perturbed in chronic lung disease, have received far less attention [160]. An impaired tissue degradative environment has been observed in both pulmonary fibrosis and fibrosis in other organ systems [172, 173]. In IPF patients, for example, there is an imbalance between the production of MMPs and TIMPs with an increase in the ratio of TIMPs:MMPs at the site of scar formation [173]. There is a similar decrease in MMP expression in fibrotic livers [174]. Lysates of tissue biopsies taken from the skin and lungs of scleroderma and IPF patients, respectively, have reduced ability to degrade collagen in vitro as compared with control biopsy samples [173, 175].
Matrix turnover involves both extracellular proteolysis and cell-mediated uptake of cleaved matrix fragments [176]. Recent evidence has emerged that genetic mutant mice with impaired cell-mediated collagen uptake develop more severe fibrosis in response to lung injury suggesting that the cell-mediated pathway, in addition to the proteolytic pathways [177, 178], is important in regulating the severity of tissue fibrosis [179, 180]. The mechanisms by which cell-mediated removal of collagen fragments promote resolution of fibrosis is less well understood. One possibility is that collagen internalization negatively regulates the production of new collagen/matrix by either the cells ingesting collagen or cells adjacent to those ingesting collagen.
A recent RNAi-based genomic screen of cell-mediated collagen internalization has identified several other mediators of the intracellular pathway [181]. In addition to identifying the flotillin family of vesicle transport proteins as functioning upstream of uPARAP/endo180 in regulating collagen turnover, the screen also identified two candidate genes, fibroblast activation protein and ATG6/Beclin-1, which have been shown to be important in in vivo collagen degradation [182, 183]. The emerging role of autophagy in collagen uptake and degradation coupled with recent studies linking impaired autophagy with lung fibrosis, warrants further investigation of the mechanisms by which autophagy regulates collagen turnover [184–187].
The cells principally responsible for the clearance of collagen have not been elucidated. Macrophages, fibrocytes and fibroblasts have all been shown to ingest extracellular collagen, and fibrocytes may be even more efficient than fibroblasts [188]. A prominent role for macrophages in collagen resorption is supported by mouse models where genetic deletion or pharmacological depletion of macrophages during the remodeling phase of experimental-fibrosis reduces scar resolution [189–191]. We speculate that fibroblasts may be the predominant cell involved in collagen turnover under homeostatic conditions, while recruitment of macrophages and/or fibrocytes enhances the capacity for collagen clearance in response to lung injury.
The kinetics of collagen turnover in the lungs of patients with IPF remain poorly understood. Specifically, while it is accepted that lung collagen is continuously turned over [179, 192–194], it is unclear whether there exist pools of collagen that are rapidly turned over versus pools that are more stable and long-lived or whether all lung collagens turn over at similar rates [195]. Scar tissue contains a number of other matrix molecules in addition to fibrillar collagens. The relative amounts of each of these matrix molecules are beginning to be understood through proteomic analysis [55]. How these molecules physically interact with each other remains unclear, as does whether the three-dimensional structure of a scar prevents access of proteolytic enzymes to their target sites on collagen, thereby, inhibiting the ability for collagen breakdown.
The fate of the matrix is intricately linked with the fate of the (myo)fibroblasts and, in the context of fibrotic repair, interactions between the ECM and fibroblasts can establish a “feedforward” amplification loop in which myofibroblasts produce matrix and the matrix, in turn, activates signaling pathways that support fibroblast survival [92, 196] (Figure 4). For example, matrix adhesion is essential for myofibroblast differentiation and survival, and these fibroblast phenotypes are further modulated by the biomechanical properties of that extracellular matrix [92, 110, 197–200]. The ability of fibroblasts to sense biomechanical properties of the ECM affects phenotype, survival and resolution of fibrosis [201, 202], but the mechanosensory apparatus of fibroblasts is poorly understood. The pro-fibrotic cytokine TGF-β1 is also a potent stimulus for myofibroblast differentiation and survival [159, 197, 199, 203]. Moreover, the matrix serves as a reservoir for latent TGF-β1 and activation of TGF-β1 from its latent form can be achieved either through proteolytic mechanisms or through a non-proteolytic mechanism mediated by a stiff extracellular matrix [108]. While the ECM and TGF-β1 may each promote myofibroblast differentiation and acquisition of an apoptosis-resistant phenotype, and each interacts with and influences the other, matrix regulation of fibroblast phenotype may occur independent of TGF-β activation [93, 102, 204].
Figure 4. miR-29c-mediated positive feedback between the fibrotic ECM and the fibroblast amplifies the fibrotic phenotype.
miR-29c targets ECM genes and limits ECM production in normal lungs. Downregulation of miR-29c activates the synthesis of ECM products by lung fibroblasts and persists in response to the fibrotic ECM (modified from ref. #196).
Supporting the interactions between TGF-β1 and matrix-mediated signals in the coordinate regulation of myofibroblast differentiation and survival, TGF-β1 and rigid extracellular matrices utilize common upstream mechanisms, including focal adhesion kinase (FAK) and Rho kinase (ROCK) to regulate transcriptional events dependent on serum response factor (SRF) and myocardin-related transcription factor (MRTF), and/or YAP-TAZ [102, 110, 205–208]. Specifically, TGF-β1 and/or matrix stiffness-mediated activation of FAK, RhoK, SRF/MRTF, and YAP-TAZ have been shown to promote myofibroblast resistance to apoptosis through induction of inhibitor of apoptosis proteins including X-linked inhibitor of apoptosis, survivin, anti-apoptotic BCL-2 family proteins, and through upregulation of plasminogen activator inhibitor-1 (PAI-1), a serpin protease inhibitor that blocks fibroblast apoptosis induced by plasmin-mediated fibronectin proteolysis [110, 198, 200, 209]. Although the mechanistic hierarchies have not been established and the interactions between matrix and soluble factors in the regulation of each kinase and their transcriptional regulators have yet to be delineated, each of these mediators and proteins has been shown to be increased within the fibroblastic foci of lung tissue from patients with IPF and/or in lung fibroblasts explanted from patients with IPF [110, 209–212]. Moreover, inhibition of each has been shown to enhance fibroblast susceptibility to apoptosis in vitro and promote the resolution of lung fibrosis in vivo.
In summary, accumulating studies support the concepts that: (1) matrix accumulation is necessary for fibrogenesis and resolution of fibrosis requires matrix degradation; (2) matrix-generated signals maintain an apoptosis-resistant myofibroblast phenotype utilizing mechanisms that coordinately regulated by TGF-β1 signaling; (3) disruption of fibroblast-matrix interactions can induce fibroblast apoptosis while blockade of matrix-mediated signals can enhance fibroblast susceptibility to apoptosis; and (4) inhibition of matrix-derived signals that promote fibroblast survival is associated with resolution of lung fibrosis in murine models. There is relatively limited knowledge about the biological pathways that regulate matrix resorption and myofibroblast apoptosis, the degree to which these processes might be linked, and whether these processes are amenable for therapeutic intervention. Understanding the mechanisms regulating matrix turnover and fibroblast apoptosis, and how these mechanisms are perturbed, is critical for the identification of novel strategies to promote the resolution of lung fibrosis.
7. The ECM in Inflammation and Autoimmunity
The lung microvasculature provides a vast surface area where circulating and activated immune cells mount an appropriate response to eliminate invading pathogens. Although an influx of immune cells into the lungs is designed by nature to protect the host against harmful infectious insults, excessive innate and adaptive immune responses to environmental exposures may promote chronic inflammation that destroys the lung parenchyma [213, 214]. Specifically, chronic exposure to a variety of inhaled noxious stimuli such as environmental pollutants, cigarette smoke, and other sterile toxic fumes could promote recruitment and activation of inflammatory cells in the lungs. Adaptive immune cells such as autoreactive T lymphocytes, directed against the lung’s structural molecules or it ECM components, can induce inappropriate immune responses that could trigger lung destruction. Therefore, while activation of innate and acquired immunity are critical in host defense against invading organisms, activated immune cells could evoke untoward responses and promote autoimmune inflammation in the lungs.
Many of the signals that result in aberrant activation of immune cells are embedded within the normal lung stroma that, when altered, are processed and presented by the antigen presenting cells (APCs) to lymphocytes in the context of the MHC complex [215, 216]. While APCs can take in and process many self- and foreign proteins, they require additional signals to become activated and initiate acquired immune responses at the sites of inflammation [217]. Proteolytic degradation or modification of ECMs (e.g., proteoglycans, fibrillar collagens, glycoproteins, elastin, etc.) could generate new antigens that bind and activate immune cells in the lungs [218–220]. For example, fragments of human lung elastin formed through cleavage by neutrophil elastase have been shown to be chemotactic for monocytes [221], and are strongly immunogenic as demonstrated by the presence of elastin-specific autoreactive T cells in smokers with emphysema [222]. Therefore, in susceptible smokers, in response to specific antigens (e.g., elastin fragments), T lymphocytes proliferate or induce B cells to make autoreactive antibodies to promote chronic inflammation.
Another example of how ECM breakdown can directly affect immune cell activation is the potent bioactive tripeptide, proline-glycine-proline (PGP), proteolytic fragments of type I collagen. PGP is a molecular mimic of several CXC chemokines, such as IL-8, and attract neutrophils through binding to their CXCR1 and CXCR2 receptors [223]. MMPs with strong gelatinolytic activity (e.g. MMP2, MMP9, and MMP13) are released by fibroblasts and innate immune cells; cleavage of collagen by prolyl endopeptidase (PE) further degrades the gelatin fragments to form PGP [224]. Clinical and translational studies in smoking-induced COPD support the concept that PGP-mediated inflammation in the lungs creates a positive feed-back system, which may be independent of acquired immunity [225] (Figure 5).
Figure 5. The central role of MMP-derived PGP in smoking-induced pulmonary inflammation.
A, Neutrophil-derived MMP9 and prolyl endopeptidase (PE) degrade lung collagens to generate PGP. PGP serves as a chemoattractant to recruit neutrophils to lung interstitium. Cigarette smoke induces increases in MMP-9, PE and PGP production which promotes neutrophil influx. B, Leukotriene A4 hydrolase (LTA4H) is a pro-inflammatory enzyme that possesses aminopeptidase activity. LTA4H serves to degrade PGP and stop the PGP-mediated neutrophil chemotaxis in acute inflammation. Cigarette smoke selectively inactivates LTA4H’s aminopeptidase function, leading to accumulation of PGP and neutrophils (see ref. #223 for details). This contributes to the chronic inflammation that drives disease progression in COPD.
In addition to affecting immune cell function by generating effector ECM fragments, MMPs can regulate their influx and activation by several other mechanisms [226]. For example, the macrophage secreted MMPs, MMP12 and MMP28, can either promote or restrict macrophage influx into the lungs [227, 228]; MMP28 and TIMP3 moderate pro-inflammatory activation of macrophages [229, 230]. With respect to mechanisms, MMPs quite often affect chemokine availability or activity either directly, by modifying the protein, or indirectly by acting on proteins that modulate their activity [231–233].
Some of the key questions remaining is how newly formed fragments of endogenous proteins and peptides activate immune cells and promote chronic indolent inflammation in the lungs. ECM molecules collectively play an important role in orchestrating the flow of immune cells in and out of the lungs; thus, deciphering how ECM-derived fragments shape immune cell activation represents a major challenge for future investigations. More importantly, it is not clear how ECM-mediated activation of immune cells selectively perpetuate recruitment of inflammatory cells into the lungs. Approaches such as deep sequencing and proteome-wide screening may identify the global effects of different ECM-derived pathways that promote inflammation. Additionally, identification of specific ECM-derived mediators that act upstream of immune cell activation may provide opportunities for therapeutic intervention.
8. The ECM in Regulation of the Stem Cell Niche
Elucidating the regenerative potential of lungs in adult life is critical to the potential reversibility of emphysema and/or fibrosis in humans. However, closing gaps in our knowledge of lung regeneration is limited by the lack of understanding of the composition and maintenance of stem cell niches along the respiratory tract [234–236]. A major challenge is to “decode” the mechanisms by which the normal ECM regulates the stem cell niche within the lungs. It also remains to be defined how the altered ECM influences niche dysfunction and stem cell behavior in diseased lungs.
Within the alveolar compartment, alveolar epithelial cells (AECs) are closely associated with various cell types such as vascular, mesenchymal, and immune cells. Lipofibroblast cells localized between capillary endothelial cells and AECs have been shown to regulate the proliferation and differentiation of type II AECs which function as facultative stem cells of the alveolar epithelium. Deposition of stem cell-active ECM proteins or proteolytic deployment of encrypted ECM fragments by niche cells could evoke proliferation and modulate differentiation of alveolar stem cells. Thus, uncovering how individual cell types deploy ECM to orchestrate regenerative alveolarization would potentially fill a large gap in our current knowledge of stem cell niches within the lungs; this would also provide an opportunity to mimic these conditions using bioengineering approaches to develop more realistic niches ex vivo [236].
There are several potential challenges to decoding the ECM in the lung stem cell niche. First, it is critical to generate a “matrix footprint” by identifying niche-derived ECM factors that modulate alveolar stem cell function, including MMPs, serine proteases, and specific matrix proteins. This will also provide clues to which biochemical and/or biophysical properties of the niche may be capable of guiding stem cell fate. Second, determining how endothelial cells, mesenchymal/stromal, immune and other supporting niche cells coordinately mobilize proper ECM signals to stimulate functional repair and avoid maladaptive repair/fibrosis is essential. It is important to recognize that niche ECM may be critical to the support and maintenance of niche cells, in addition to the stem cells themselves. Third, a long-term goal would be to exploit bioengineering tools to rebuild a faithful niche that recapitulates and facilitates the endogenous stem cell-niche crosstalk. To engineer such synthetic polymer, hybrid, and natural materials, the required tools should include polymer chemistry to create new materials, photolithography to pattern materials, electro-spinning to manufacture these materials, and methods to ensure that the intended properties to be mimicked in the system are indeed present. Such tools will also aid in determining whether the ECM can be manipulated to favor therapeutic lung regeneration.
To this end, there is an urgent need to develop ex vivo “macroscale” models to interrogate stem cell niches in the lung. For example, establishing stem cell-niche cell co-culture systems and organotypic models would be helpful to interrogate how the niche-derived ECM imposes the stemness and modulates the balance between regeneration and fibrosis in the injured lung. Generating efficient ex vivo co-culture models encompassing both alveolar stem cells and supporting niche cells would permit for mechanistic delineation of cell type-specific contributions in lung stem cell niche. Traditional biochemical means or high-throughput screening systems could be employed in these models to uncover the molecular basis of stem cell-niche cell crosstalk, including responsible ECM molecules deployed by niche cells and corresponding receptors on stem cells. Once the critical ECM components and niche cell types are mapped out, niche re-construction using engineered scaffolds would be an ideal approach to recapitulate the pro-regenerative “matrix footprint” ex vivo. Decellularized tissues may be used as a bioreactor that expands different types of lung stem cells and fosters the crosstalk between stem cell and their niches [237]. In addition to these biochemical considerations, it is also critically important to ensure that cells in this artificial niche experience the appropriate mechanical environment. Lung is a very dynamic tissue, and it is important that, in addition to passive stiffness, the niche is also capable of recapitulating cyclical strain typically placed on it during the breathing cycle. Approaches such as these may inform strategies for more effective cell-based therapies in the future, and provide more fastidious pre-clinical models to assess the efficacy of pro-regenerative therapies.
Establishing animal models of lung regeneration is also pivotal for defining the important characteristics of a lung stem cell niche. Further characterization of animal lung injury models such as hyperoxia, influenza infection, and pneumonectomy would be crucial for revealing the molecular and cellular basis of lung regeneration. By combining “cell-type specific” lineage tracing and “gain and loss function” genetic tools, these animal models would allow us to unravel and verify the functional contribution of key niche ECM molecules during regenerative alveolarization. Of note, one of the most rigorous assays to demonstrate stem cell activity is to test the diverse cell lineage reconstitution in an in vivo transplantation system [238]. While limiting dilution transplantation assays have been widely used for the study of hematopoietic stem cells, lung stem cell research has been hindered by the paucity of a faithful cell transplantation system. Developing a lung regeneration/repair model that facilitates functional engraftment of lung stem cells would be invaluable to test, not only the attributes of particular stem cells but, the mechanisms by which host niche cells regulate the homing, adhesion, engraftment and differentiation of transplanted stem cells. As such, mechanistic revelation of the ECM biology in lung stem cell niches requires establishment of both animal models of lung regeneration and cell lineage-specific genetic approaches. These in vivo platforms will allow for stringent interrogation of the in vivo crosstalk between stem cells and niche cells in lung regeneration that will potentially enable design of pre-clinical models for regenerative therapy.
9. ECM-Based Therapeutics
Recent Phase II/III clinical trials in IPF have targeted ECM composition, crosslinking, and/or matrix-driven signaling [239]. Matrix crosslinking, in particular, seems to be a promising therapeutic target [240, 241]. Targeting the balance of proteases and antiproteases has long been recognized as a potential therapeutic strategy for disorders of excessive matrix accumulation; however, this strategy is complicated by the promiscuity and redundancy of protease-antiprotease pathways, which activate and inactivate a broad array of biochemical signals in addition to, or as a direct result of, their effects on matrix turnover. For example, MMP-8, which is a collagenase, is actually pro-fibrotic via inactivation of particular chemokines [242]. Additionally, matrix fragments may have potent and deleterious inflammatory activity. Nevertheless, altering the balance of collagen production and degradation (collagen turnover) remains an important therapeutic strategy to promote resolution of fibrotic remodeling. An intracellular pathway of collagen turnover may be advantageous, in that it avoids the “friendly fire” problems associated with extracellular proteolysis [179, 180]. Emerging strategies for promoting beneficial matrix turnover include engineering collagenolytic cells for adoptive transfer, or engineering collagen-degrading bacteria.
Another promising approach is targeting or mimicking microRNAs (miRs) which regulate ECM biogenesis. For example, miR-29 mimicry with synthetic RNA duplexes blocks fibroblast collagen synthesis and attenuates bleomycin-induced fibrosis [243]. Matrix signals, particularly those associated with mechanical force, are transmitted through integrins; thus, there are numerous strategies to target particular integrin subunits or integrin-activated signaling cascades [84, 110, 244–246]. Integrin targeting should be undertaken with caution, however, as exemplified by the findings that broad targeting of αv integrin may be beneficial for fibrosis [245], whereas targeting αvβ3 specifically promotes fibrosis progression in the liver [247]. Increased understanding of mechanosensing and mechanotransduction is likely to uncover novel approaches for limiting deleterious responses of cells such as fibroblasts to an altered matrix environment.
10. Emerging Technologies to Study the ECM
The capability to monitor dynamic changes that occur in ECM, in living individuals over time, is a crucial aspect of comprehending the clinical significance of such changes in particular lung diseases. For example, recent technological advances in magnetic resonance imaging (MRI) and ultrasound have allowed us to begin addressing this goal. Magnetic resonance elastography (MRE) is a new tool being used to study hepatic fibrosis in the research setting. Using an ultrasound device compatible with magnetic resonance scanners, mechanical sound waves are generated through the liver while the individual is undergoing magnetic resonance scanning. Using specialized software with a modified phase-contrast gradient-echo sequence, data can be used to generate elastograms and calculate liver Young’s modulus [248]. Similarly, ultrasound-based approaches such as transient elastography, in which a controlled vibration produces a mechanical shear wave with consistent amplitude and frequency, clinicians can track the speed and depth of shear wave propagation through the tissue, represented in graphic form and as Young’s modulus (stiffness) [249]. Application of ultrasound for the assessment of the lung has been limited to qualitative and semi-quantitative assessments of projections from the lung surface and have not previously allowed a direct assessment of lung physiology or mechanics [250]. However, a recent study used ultrasound combined with speckle tracking software to analyze pleural displacement and showed that this method could be used to estimate lung strain in normal human volunteers and in a murine model of pulmonary fibrosis [250]. This study provides proof-of-concept that non-invasive imaging by ultrasound is a feasible strategy that may be developed as a tool for longitudinal assessments of lung stiffness.
Development and refinement of newer imaging technologies that afford greater spatial resolution than currently available must continue. In the lung, computed tomography (CT) scanning, either alone or in combination with radioactive tracers, positron emission tomography (PET) or single-photon emission computed tomography (SPECT), currently provides the greatest resolution and is the method of choice for 3D imaging. The most significant impediment to performing repeated CT imaging over time is the risk associated with radiation dose, although new CT systems to reduce the radiation dose are being developed. Additionally, improved image sequencing and compressed sensing image reconstruction algorithms are now being developed for MRI that have the potential for creating 3D images of lung tissues, comparable to CT, but without the risk of radiation dose [251, 252]. These new approaches along with advancements in model-based image reconstruction that compensate for tissue motion cause by breathing or beating of the heart will ultimately facilitate 4D MRI to enhance our ability to evaluate heterogeneities in structural and functional changes in the lung. Many of these new image reconstruction and analysis approaches developed for MRI may also translate to CT or other complementary imaging modalities.
Combining higher-resolution imaging of tissue biomechanics with pulmonary function testing (for example, spirometry) could be transformative in patient care by allowing us to determine whether therapeutic interventions have the intended consequence of affecting matrix dynamics. However, these newer image reconstruction, segmentation, and analysis techniques will need to be automated to user-friendly interfaces to achieve broad acceptance in clinical settings. Similarly, developing probes or tracers for individual ECM components (including second harmonic generation microscopy) that can be imaged in real-time in living individuals will enhance our understanding of disease processes such as COPD, IPF, bronchiectasis, asthma, and even ARDS.
In parallel with improvements in clinical imaging technologies, there are also many developments in tissue engineering, imaging and analysis that will improve our understanding of the role of ECM in development, homeostasis and disease. Many of these new technologies have been developed using animal models and in vitro methods [253]. For example, ultra-high-resolution micro-CT approaches have been developed that can image the lungs of mice at 1–2 micron resolution. However, the high radiation doses preclude the ability to use such an approach in live animals [254]. Nevertheless, the ability to image the structures of the lungs from laboratory animals ranging from the trachea to the secondary lobules offers exciting opportunities for measuring changes in 3D structures of the lung, including the ECM at unprecedented resolution. Likewise, multiple laboratories are developing highly detailed 3D images of tissues including the lung using cryomicrotome or vibratome sections of frozen, embedded lungs. By including fluorescent markers for gene expression, proteins, inhalation or intravenously administered microspheres, etc., these techniques offer additional high-resolution 3D images of the lung that will be useful for evaluating the role of the ECM in lung function [255–258].
It is imperative that imaging of ECM degradation/turnover and synthesis be developed with enhanced resolution to better understand human disease processes. By making salient observations of the patient, we will be in a better position to enhance our model systems for studying the human lung. In addition to biochemical surrogates [259, 260], newer imaging tools that allow evaluation of collagen dynamics in patients over time would greatly contribute to our understanding of collagen metabolism during disease progression. Similarly, tools that would allow visualization of collagen ultrastructure within areas of fibrosis should help determine whether the three-dimensional structure of collagen embedded within a scar is stereotypically similar in different scars within the same diseased lung or different for each particular scar. Dynamic synthesis and breakdown of ECM (i.e. “remodeling”) result in the development of novel epitopes of ECM molecules that may be suitable for tracking fibrogenesis and resolution of fibrosis. Similarly, real-time, longitudinal imaging of lung ECM during development of COPD may help us better understand the nature of alveolar enlargement and septal destruction.
Over the past five years, production of decellularized scaffolds from native lungs has proven feasible. Detergents are commonly used in decellularization to solubilize cell membranes, disengage cytoskeletal proteins from cells, and detach DNA remnants from proteins [261]. As reported by many groups, these scaffolds often retain many of the essential ECM proteins present in the original organ [262–265]. Although decellularized lung tissue can provide a model to study ECM changes during aging or lung disease [93, 266], it is important to recognize that many decellularization protocols render a depleted scaffold that may not be optimal for long-term cell culture or for cell adhesion, survival and proliferation [267]. Currently, next-generation proteomic approaches are under development that will allow quantification of lung matrix composition, and benchmarking of decellularized samples against native tissues.
Successful decellularization should include the removal of cell membrane epitopes, DAMPs, and DNA remnants from the scaffold as these components may induce inflammatory and/or immune reactions [268–271]. Host responses to acellular matrices may include pro-inflammatory or pro-constructive macrophage responses [272, 273]. The threshold level of nuclear material that induces pro-inflammatory responses or adaptive immunity has not yet been established, and hence acceptable levels of decellularization for various organs remain undefined [273, 274]. Despite the lack of clear benchmarks for what constitutes “decellularized”, it has been generally accepted that DNA fragments that are less than 300 bp in length will not elicit negative remodeling responses [274]. In terms of the impact of non-nuclear donor material on adverse immune responses, it remains unclear if proteinaceous cell debris, such as cytoskeletal elements, are problematic. Currently, there are multiple reports of decellularized tissues with detectable cytoskeletal debris, such as actin, [263, 275], although the functional consequences of these remnents have yet to be determined. In the very long term, acellular lung matrices may serve as a bioengineering platform for construction of functional lung tissue. To be functional, a regenerated lung should fulfill specific “design criteria”, including the ability to: (1) maintain lung-specific epithelial, mesenchymal, and vascular cells; (2) provide a barrier to separate blood from air; (3) incorporate a hierarchical branching geometry that provides suitable surface area for gas exchange; (4) contain a perfusable microvasculature that is resistant to thrombosis; and (5) be sufficiently mechanically robust to withstand ventilation and physiological mechanical stresses [276]. Although some progress has been made [262–264, 277–281], these functional criteria have not yet been met. The quality of the underlying matrix scaffold will determine whether these critical design criteria can be met.
11. Critical Questions and Emerging Opportunities in Lung ECM Biology
This review of the role of the ECM in lung development, homeostasis and repair has served to identify several key questions and knowledge gaps in the field. The authors have identified the following critical questions and emerging opportunities in lung ECM biology:
Critical Questions
What is the regenerative capacity of the lung in adult life? This question is confounded by the current lack of understanding of the influence of the ECM, and changes to the ECM, on the function of stem cell niches in the lung. There is a critical need to “decode” the mechanisms by which the ECM regulates niche function. Closing these gaps is necessary to answer the question of whether the lung can be stimulated to undergo alveolarization and to, potentially, reverse chronic lung diseases such as emphysema and fibrosis.
The extent to which fibrosis is reversible is unknown. In part, this reflects a gap in the tools available to visualize in vivo kinetics of collagen turnover or changes in distinct pools of collagen that are responsive to resorptive mechanisms. It is also not understood to what degree biochemical and biomechanical properties of the fibrotic lung alter cellular behavior toward a “point of no return” or, even which cells are the key effectors in collagen turnover. Additional knowledge gaps include the mechanisms mediating collagen uptake and degradation, how intracellular collagen degradation is regulated by ECM interactions, the effects of impaired intracellular collagen processing on cellular behavior, and which cells are the key players in collagen turnover in tissue homeostasis and repair.
How does the same injury (e.g. cigarette smoke) give rise to different disease phenotypes, for example, emphysema, fibrosis or combined? It is thought that chronic epithelial stress is relevant to the pathogenesis of both emphysema and fibrosis. It is unknown to what degree alterations in the ECM promote or attenuate epithelial stress and whether such alterations bias an injury response toward one disease pathway or another. Do disease-relevant cellular phenotypes that track toward an emphysematous or fibrotic process emerge mainly from cell autonomous or ECM-regulated effects? If altered ECM is a critical determinant, there remains a lack of understanding of specific alterations in the ECM that promote development of emphysema vs. fibrosis.
How do MMPs and ECM-derived proteolytic products contribute to lung repair, regeneration and inflammation? There is evidence that cellular responses to “danger signals” emitted by ECM fragments are an important determinant of inflammation and injury in chronic lung disease. However, to what extent ECM fragments also function as important regenerative signals is unknown. Are adjuvant effects of ECM fragments an important driver of autoimmune adaptive immune responses that then promote progression of chronic lung diseases such as COPD and pulmonary fibrosis? There is limited understanding of the full extent to which ECM fragments contribute to regeneration/recovery or act as perpetrators of disease progression.
Is it possible to develop a decellularized scaffold that can serve as a functional bioreactor for lung regeneration? Such a scaffold would need to: (1) reliably maintain lung-specific epithelial, mesenchymal, and vascular cells; (2) provide a barrier to separate blood from air; (3) maintain a hierarchical branching geometry that provides suitable surface area for gas exchange; (4) contain a perfusable microvasculature that is resistant to thrombosis; and (5) be sufficiently mechanically robust to withstand ventilation and physiological mechanical stresses.
Emerging Opportunities
Develop ex vivo “macroscale” models to interrogate stem cell niches in the lung; for example, co-culture systems, organotypic models, or stem cell niche re-construction on scaffolds that recapitulate the “matrix footprint”. Are biochemical and/or biophysical properties of the niche a determinant of stem cell function and, if so, can the ECM be manipulated to favor regeneration over fibrosis?
Establish animal models of lung regeneration as a pivotal avenue for defining the important characteristics of a lung stem cell niche. Further characterization of animal lung repair models such as hyperoxia, influenza infection, and pneumonectomy will be crucial for revealing the molecular and cellular basis of lung regeneration. By combining “cell-type specific” lineage tracing and “gain and loss function” genetic tools, these animal models would allow us to unravel and verify the functional contribution of key niche ECM molecules during regenerative alveolarization, as well as their potential clinical value in improving lung function.
Develop novel imaging technologies that allow evaluation of collagen turnover in patients over time. This methodology would greatly contribute to our understanding of the dynamic nature of collagen metabolism at different times during disease progression. Similarly, tools that would allow visualization of collagen ultrastructure within areas of fibrosis should help determine whether the three-dimensional structure of collagen embedded within a scar is stereotypically similar in different scars within the same diseased lung or different for each scar. Establish the goal of functional imaging as a tool to assess drug effects in vivo and methods to reach this goal.
Define an ECM “map” to include spatial and temporal changes in ECM composition, topography, and biomechanics during injury-repair (animal models), and in human diseases such as emphysema and fibrosis. The atlas should compile ECM profiles of normal (different developmental stages, adults) and diseased lung tissues and, in addition, include regional characterization (pleura, trachea, bronchi, alveolar interstitium, vessels, upper lobe vs. middle lobe vs. lower lobe). The atlas should integrate global -omics data such as: (a) quantitative proteomics to identify ECM isoforms and post-translational modifications (such as cross-linking, phosphorylations, etc.); (b) ECM degradomics to identify the active cryptic fragments of ECM proteins that play key roles in disease progression, as well as the neo-epitope within ECM proteins that could serve as biomarkers of disease progression or response to treatment; and (c) glycomics to identify the nature and abundance of polysaccharides and glycosaminoglycans (GAGs) in the lung ECM.
Identify the specific cell types involved in matrix remodeling and how they regulate matrix production and resorption. Specifically, more refined definitions of fibroblasts and macrophages and their precise roles in matrix dynamics are needed. It is currently not known which of these cell types are primarily responsible for collagen/matrix turnover, what the relative contributions of each cell type is, whether there exist fibroblast and/or macrophage subsets that specialize in matrix degradation and, if so, how these cells can be identified. Furthermore, if subsets of cells exist that specialize in matrix degradation, is their differentiation driven through cellular on acellular cues provided by the fibrotic microenvironment surrounding them?
Expansion of our knowledge of the structure, biomechanics and functional properties of the dynamic lung ECM will enrich our understanding of the development, physiology and pathobiology of the lung. This knowledge will advance novel strategies to treat lung diseases across the lifespan, and reduce the incidence of chronic lung disease. This goal can be realized with a collaborative research effort that encompasses matrix biologists, and extends to the larger community of investigators studying lung development, health and disease.
Highlights.
Recent advances in ECM composition, dynamics, topography, and biomechanics
ECM in normal lung development and aberrant development (BPD)
ECM dynamics and altered deposition in adult lung diseases, namely COPD and IPF
ECM in inflammation/autoimmunity; and maintenance of the stem cell niche
ECM-based therapeutics for chronic lung diseases
Critical questions and emerging opportunities in lung ECM biology research
Acknowledgments
We acknowledge the support of the Division of Lung Diseases, National Heart, Lung & Blood Institute which initially organized a workshop on this topic on September 17–18, 2014 in Bethesda, Maryland. All authors of this manuscript participated in this workshop. The authors thank J. Michael Wells, MD, Derek Russell, MD and J. Edwin Blalock, PhD for their contributions to the construction of Figure 5.
Footnotes
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References
- 1.Herring MJ, Putney LF, Wyatt G, Finkbeiner WE, Hyde DM. Growth of alveoli during postnatal development in humans based on stereological estimation. Am J Physiol Lung Cell Mol Physiol. 2014;307(4):L338–44. doi: 10.1152/ajplung.00094.2014. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Warburton D, El-Hashash A, Carraro G, Tiozzo C, Sala F, Rogers O, De Langhe S, Kemp PJ, Riccardi D, Torday J, Bellusci S, Shi W, Lubkin SR, Jesudason E. Lung organogenesis. Curr Top Dev Biol. 2010;90:73–158. doi: 10.1016/S0070-2153(10)90003-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Mund SI, Stampanoni M, Schittny JC. Developmental alveolarization of the mouse lung. Dev Dyn. 2008;237(8):2108–16. doi: 10.1002/dvdy.21633. [DOI] [PubMed] [Google Scholar]
- 4.McGowan SE. Extracellular matrix and the regulation of lung development and repair. FASEB J. 1992;6(11):2895–904. [PubMed] [Google Scholar]
- 5.Selman M, Pardo A, Kaminski N. Idiopathic pulmonary fibrosis: aberrant recapitulation of developmental programs? PLoS Med. 2008;5(3):e62. doi: 10.1371/journal.pmed.0050062. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Chanda D, Kurundkar A, Rangarajan S, Locy M, Bernard K, Sharma NS, Logsdon NJ, Liu H, Crossman DK, Horowitz JC, De Langhe S, Thannickal VJ. Developmental Reprogramming in Mesenchymal Stromal Cells of Human Subjects with Idiopathic Pulmonary Fibrosis. Sci Rep. 2016;6:37445. doi: 10.1038/srep37445. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Coraux C, Meneguzzi G, Rousselle P, Puchelle E, Gaillard D. Distribution of laminin 5, integrin receptors, and branching morphogenesis during human fetal lung development. Dev Dyn. 2002;225(2):176–85. doi: 10.1002/dvdy.10147. [DOI] [PubMed] [Google Scholar]
- 8.Sawai T, Usui N, Sando K, Fukui Y, Kamata S, Okada A, Taniguchi N, Itano N, Kimata K. Hyaluronic acid of wound fluid in adult and fetal rabbits. J Pediatr Surg. 1997;32(1):41–3. doi: 10.1016/s0022-3468(97)90089-0. [DOI] [PubMed] [Google Scholar]
- 9.Nguyen NM, Kelley DG, Schlueter JA, Meyer MJ, Senior RM, Miner JH. Epithelial laminin alpha5 is necessary for distal epithelial cell maturation, VEGF production, and alveolization in the developing murine lung. Dev Biol. 2005;282(1):111–25. doi: 10.1016/j.ydbio.2005.02.031. [DOI] [PubMed] [Google Scholar]
- 10.Sorokin LM, Pausch F, Frieser M, Kroger S, Ohage E, Deutzmann R. Developmental regulation of the laminin alpha5 chain suggests a role in epithelial and endothelial cell maturation. Dev Biol. 1997;189(2):285–300. doi: 10.1006/dbio.1997.8668. [DOI] [PubMed] [Google Scholar]
- 11.Miner JH, Patton BL, Lentz SI, Gilbert DJ, Snider WD, Jenkins NA, Copeland NG, Sanes JR. The laminin alpha chains: expression, developmental transitions, and chromosomal locations of alpha1-5, identification of heterotrimeric laminins 8–11, and cloning of a novel alpha3 isoform. J Cell Biol. 1997;137(3):685–701. doi: 10.1083/jcb.137.3.685. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Bateman ED, Turner-Warwick M, Adelmann-Grill BC. Immunohistochemical study of collagen types in human foetal lung and fibrotic lung disease. Thorax. 1981;36(9):645–53. doi: 10.1136/thx.36.9.645. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Mackay EH, Banks J, Sykes B, Lee G. Structural basis for the changing physical properties of human pulmonary vessels with age. Thorax. 1978;33(3):335–44. doi: 10.1136/thx.33.3.335. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Burnett W, Yoon K, Finnigan-Bunick A, Rosenbloom J. Control of elastin synthesis. J Invest Dermatol. 1982;79(Suppl 1):138s–145s. doi: 10.1111/1523-1747.ep12546035. [DOI] [PubMed] [Google Scholar]
- 15.Ryu J, Vicencio AG, Yeager ME, Kashgarian M, Haddad GG, Eickelberg O. Differential expression of matrix metalloproteinases and their inhibitors in human and mouse lung development. Thromb Haemost. 2005;94(1):175–83. doi: 10.1160/TH04-10-0656. [DOI] [PubMed] [Google Scholar]
- 16.Swaney JS, Roth DM, Olson ER, Naugle JE, Meszaros JG, Insel PA. Inhibition of cardiac myofibroblast formation and collagen synthesis by activation and overexpression of adenylyl cyclase. Proc Natl Acad Sci U S A. 2005;102(2):437–42. doi: 10.1073/pnas.0408704102. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Shannon JM, Nielsen LD, Gebb SA, Randell SH. Mesenchyme specifies epithelial differentiation in reciprocal recombinants of embryonic lung and trachea. Dev Dyn. 1998;212(4):482–94. doi: 10.1002/(SICI)1097-0177(199808)212:4<482::AID-AJA2>3.0.CO;2-D. [DOI] [PubMed] [Google Scholar]
- 18.Godoy-Guzman C, San Martin S, Pereda J. Proteoglycan and collagen expression during human air conducting system development. Eur J Histochem. 2012;56(3):e29. doi: 10.4081/ejh.2012.e29. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Izvolsky KI, Shoykhet D, Yang Y, Yu Q, Nugent MA, Cardoso WV. Heparan sulfate-FGF10 interactions during lung morphogenesis. Dev Biol. 2003;258(1):185–200. doi: 10.1016/s0012-1606(03)00114-3. [DOI] [PubMed] [Google Scholar]
- 20.Mariani TJ, Reed JJ, Shapiro SD. Expression profiling of the developing mouse lung: insights into the establishment of the extracellular matrix. Am J Respir Cell Mol Biol. 2002;26(5):541–8. doi: 10.1165/ajrcmb.26.5.2001-00080c. [DOI] [PubMed] [Google Scholar]
- 21.Amy RW, Bowes D, Burri PH, Haines J, Thurlbeck WM. Postnatal growth of the mouse lung. Journal of anatomy. 1977;124(Pt 1):131–51. [PMC free article] [PubMed] [Google Scholar]
- 22.Bostrom H, Willetts K, Pekny M, Leveen P, Lindahl P, Hedstrand H, Pekna M, Hellstrom M, Gebre-Medhin S, Schalling M, Nilsson M, Kurland S, Tornell J, Heath JK, Betsholtz C. PDGF-A signaling is a critical event in lung alveolar myofibroblast development and alveogenesis. Cell. 1996;85(6):863–73. doi: 10.1016/s0092-8674(00)81270-2. [DOI] [PubMed] [Google Scholar]
- 23.Arteaga-Solis E, Settembre C, Ballabio A, Karsenty G. Sulfatases are determinants of alveolar formation. Matrix biology : journal of the International Society for Matrix Biology. 2012;31(4):253–60. doi: 10.1016/j.matbio.2012.02.001. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Atkinson JJ, Holmbeck K, Yamada S, Birkedal-Hansen H, Parks WC, Senior RM. Membrane-type 1 matrix metalloproteinase is required for normal alveolar development. Dev Dyn. 2005;232(4):1079–90. doi: 10.1002/dvdy.20267. [DOI] [PubMed] [Google Scholar]
- 25.Ambalavanan N, Nicola T, Li P, Bulger A, Murphy-Ullrich J, Oparil S, Chen YF. Role of matrix metalloproteinase-2 in newborn mouse lungs under hypoxic conditions. Pediatr Res. 2008;63(1):26–32. doi: 10.1203/PDR.0b013e31815b690d. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Nicolini U, Fisk NM, Rodeck CH, Talbert DG, Wigglesworth JS. Low amniotic pressure in oligohydramnios--is this the cause of pulmonary hypoplasia? American journal of obstetrics and gynecology. 1989;161(5):1098–101. doi: 10.1016/0002-9378(89)90641-8. [DOI] [PubMed] [Google Scholar]
- 27.Adzick NS, Harrison MR, Glick PL, Villa RL, Finkbeiner W. Experimental pulmonary hypoplasia and oligohydramnios: relative contributions of lung fluid and fetal breathing movements. J Pediatr Surg. 1984;19(6):658–65. doi: 10.1016/s0022-3468(84)80349-8. [DOI] [PubMed] [Google Scholar]
- 28.Li J, Wang Z, Chu Q, Jiang K, Li J, Tang N. The Strength of Mechanical Forces Determines the Differentiation of Alveolar Epithelial Cells. Developmental cell. 2018;44(3):297–312. doi: 10.1016/j.devcel.2018.01.008. e5. [DOI] [PubMed] [Google Scholar]
- 29.Tang Z, Hu Y, Wang Z, Jiang K, Zhan C, Marshall WF, Tang N. Mechanical Forces Program the Orientation of Cell Division during Airway Tube Morphogenesis. Developmental cell. 2018;44(3):313–325. doi: 10.1016/j.devcel.2017.12.013. e5. [DOI] [PubMed] [Google Scholar]
- 30.Yang Y, Beqaj S, Kemp P, Ariel I, Schuger L. Stretch-induced alternative splicing of serum response factor promotes bronchial myogenesis and is defective in lung hypoplasia. J Clin Invest. 2000;106(11):1321–30. doi: 10.1172/JCI8893. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Xu J, Liu M, Post M. Differential regulation of extracellular matrix molecules by mechanical strain of fetal lung cells. Am J Physiol. 1999;276(5 Pt 1):L728–35. doi: 10.1152/ajplung.1999.276.5.L728. [DOI] [PubMed] [Google Scholar]
- 32.Mammoto T, Jiang E, Jiang A, Mammoto A. Extracellular matrix structure and tissue stiffness control postnatal lung development through the lipoprotein receptor-related protein 5/Tie2 signaling system. Am J Respir Cell Mol Biol. 2013;49(6):1009–18. doi: 10.1165/rcmb.2013-0147OC. [DOI] [PubMed] [Google Scholar]
- 33.Coalson JJ. Pathology of bronchopulmonary dysplasia. Seminars in perinatology. 2006;30(4):179–84. doi: 10.1053/j.semperi.2006.05.004. [DOI] [PubMed] [Google Scholar]
- 34.Ambalavanan N, Carlo WA. Bronchopulmonary dysplasia: new insights. Clinics in perinatology. 2004;31(3):613–28. doi: 10.1016/j.clp.2004.05.003. [DOI] [PubMed] [Google Scholar]
- 35.Thibeault DW, Mabry SM, Ekekezie II, Zhang X, Truog WE. Collagen scaffolding during development and its deformation with chronic lung disease. Pediatrics. 2003;111(4 Pt 1):766–76. doi: 10.1542/peds.111.4.766. [DOI] [PubMed] [Google Scholar]
- 36.Thibeault DW, Mabry SM, Ekekezie II, Truog WE. Lung elastic tissue maturation and perturbations during the evolution of chronic lung disease. Pediatrics. 2000;106(6):1452–9. doi: 10.1542/peds.106.6.1452. [DOI] [PubMed] [Google Scholar]
- 37.Kumarasamy A, Schmitt I, Nave AH, Reiss I, van der Horst I, Dony E, Roberts JD, Jr, de Krijger RR, Tibboel D, Seeger W, Schermuly RT, Eickelberg O, Morty RE. Lysyl oxidase activity is dysregulated during impaired alveolarization of mouse and human lungs. Am J Respir Crit Care Med. 2009;180(12):1239–52. doi: 10.1164/rccm.200902-0215OC. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38.Witsch TJ, Turowski P, Sakkas E, Niess G, Becker S, Herold S, Mayer K, Vadasz I, Roberts JD, Jr, Seeger W, Morty RE. Deregulation of the lysyl hydroxylase matrix cross-linking system in experimental and clinical bronchopulmonary dysplasia. Am J Physiol Lung Cell Mol Physiol. 2014;306(3):L246–59. doi: 10.1152/ajplung.00109.2013. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39.Hilgendorff A, Parai K, Ertsey R, Juliana Rey-Parra G, Thebaud B, Tamosiuniene R, Jain N, Navarro EF, Starcher BC, Nicolls MR, Rabinovitch M, Bland RD. Neonatal mice genetically modified to express the elastase inhibitor elafin are protected against the adverse effects of mechanical ventilation on lung growth. Am J Physiol Lung Cell Mol Physiol. 2012;303(3):L215–27. doi: 10.1152/ajplung.00405.2011. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40.Bland RD, Ertsey R, Mokres LM, Xu L, Jacobson BE, Jiang S, Alvira CM, Rabinovitch M, Shinwell ES, Dixit A. Mechanical ventilation uncouples synthesis and assembly of elastin and increases apoptosis in lungs of newborn mice. Prelude to defective alveolar septation during lung development? Am J Physiol Lung Cell Mol Physiol. 2008;294(1):L3–14. doi: 10.1152/ajplung.00362.2007. [DOI] [PubMed] [Google Scholar]
- 41.Bland RD, Xu L, Ertsey R, Rabinovitch M, Albertine KH, Wynn KA, Kumar VH, Ryan RM, Swartz DD, Csiszar K, Fong KS. Dysregulation of pulmonary elastin synthesis and assembly in preterm lambs with chronic lung disease. Am J Physiol Lung Cell Mol Physiol. 2007;292(6):L1370–84. doi: 10.1152/ajplung.00367.2006. [DOI] [PubMed] [Google Scholar]
- 42.Deutsch GH, Young LR, Deterding RR, Fan LL, Dell SD, Bean JA, Brody AS, Nogee LM, Trapnell BC, Langston C, Pathology Cooperative G, Albright EA, Askin FB, Baker P, Chou PM, Cool CM, Coventry SC, Cutz E, Davis MM, Dishop MK, Galambos C, Patterson K, Travis WD, Wert SE, White FV I.L.D.R.C.-o. Ch. Diffuse lung disease in young children: application of a novel classification scheme. Am J Respir Crit Care Med. 2007;176(11):1120–8. doi: 10.1164/rccm.200703-393OC. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 43.Bush D, Abman SH, Galambos C. Prominent Intrapulmonary Bronchopulmonary Anastomoses and Abnormal Lung Development in Infants and Children with Down Syndrome. The Journal of pediatrics. 2017;180:156–162. doi: 10.1016/j.jpeds.2016.08.063. e1. [DOI] [PubMed] [Google Scholar]
- 44.Hynes RO, Naba A. Overview of the matrisome--an inventory of extracellular matrix constituents and functions. Cold Spring Harbor perspectives in biology. 2012;4(1):a004903. doi: 10.1101/cshperspect.a004903. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 45.Naba A, Hoersch S, Hynes RO. Towards definition of an ECM parts list: an advance on GO categories. Matrix biology : journal of the International Society for Matrix Biology. 2012;31(7–8):371–2. doi: 10.1016/j.matbio.2012.11.008. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 46.Byron A, Humphries JD, Humphries MJ. Defining the extracellular matrix using proteomics. Int J Exp Pathol. 2013;94(2):75–92. doi: 10.1111/iep.12011. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 47.Hirsch J, Hansen KC, Burlingame AL, Matthay MA. Proteomics: current techniques and potential applications to lung disease. Am J Physiol Lung Cell Mol Physiol. 2004;287(1):L1–23. doi: 10.1152/ajplung.00301.2003. [DOI] [PubMed] [Google Scholar]
- 48.Naba A, Clauser KR, Hoersch S, Liu H, Carr SA, Hynes RO. The matrisome: in silico definition and in vivo characterization by proteomics of normal and tumor extracellular matrices. Molecular & cellular proteomics : MCP. 2012;11(4):M111. doi: 10.1074/mcp.M111.014647. 014647. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 49.Naba A, Clauser KR, Ding H, Whittaker CA, Carr SA, Hynes RO. The extracellular matrix: Tools and insights for the “omics” era. Matrix biology : journal of the International Society for Matrix Biology. 2016;49:10–24. doi: 10.1016/j.matbio.2015.06.003. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 50.Naba A, Pearce OMT, Del Rosario A, Ma D, Ding H, Rajeeve V, Cutillas PR, Balkwill FR, Hynes RO. Characterization of the Extracellular Matrix of Normal and Diseased Tissues Using Proteomics. J Proteome Res. 2017;16(8):3083–3091. doi: 10.1021/acs.jproteome.7b00191. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 51.Goddard ET, Hill RC, Barrett A, Betts C, Guo Q, Maller O, Borges VF, Hansen KC, Schedin P. Quantitative extracellular matrix proteomics to study mammary and liver tissue microenvironments. Int J Biochem Cell Biol. 2016;81(Pt A):223–232. doi: 10.1016/j.biocel.2016.10.014. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 52.Calle EA, Hill RC, Leiby KL, Le AV, Gard AL, Madri JA, Hansen KC, Niklason LE. Targeted proteomics effectively quantifies differences between native lung and detergent-decellularized lung extracellular matrices. Acta biomaterialia. 2016;46:91–100. doi: 10.1016/j.actbio.2016.09.043. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 53.Schiller HB, Fernandez IE, Burgstaller G, Schaab C, Scheltema RA, Schwarzmayr T, Strom TM, Eickelberg O, Mann M. Time- and compartment-resolved proteome profiling of the extracellular niche in lung injury and repair. Mol Syst Biol. 2015;11(7):819. doi: 10.15252/msb.20156123. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 54.Mayorca-Guiliani AE, Madsen CD, Cox TR, Horton ER, Venning FA, Erler JT. ISDoT: in situ decellularization of tissues for high-resolution imaging and proteomic analysis of native extracellular matrix. Nat Med. 2017;23(7):890–898. doi: 10.1038/nm.4352. [DOI] [PubMed] [Google Scholar]
- 55.Decaris ML, Gatmaitan M, FlorCruz S, Luo F, Li K, Holmes WE, Hellerstein MK, Turner SM, Emson CL. Proteomic analysis of altered extracellular matrix turnover in bleomycin-induced pulmonary fibrosis. Molecular & cellular proteomics : MCP. 2014;13(7):1741–52. doi: 10.1074/mcp.M113.037267. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 56.Gocheva V, Naba A, Bhutkar A, Guardia T, Miller KM, Li CM, Dayton TL, Sanchez-Rivera FJ, Kim-Kiselak C, Jailkhani N, Winslow MM, Del Rosario A, Hynes RO, Jacks T. Quantitative proteomics identify Tenascin-C as a promoter of lung cancer progression and contributor to a signature prognostic of patient survival. Proc Natl Acad Sci U S A. 2017;114(28):E5625–E5634. doi: 10.1073/pnas.1707054114. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 57.Schiller HB, Mayr CH, Leuschner G, Strunz M, Staab-Weijnitz C, Preisendorfer S, Eckes B, Moinzadeh P, Krieg T, Schwartz DA, Hatz RA, Behr J, Mann M, Eickelberg O. Deep Proteome Profiling Reveals Common Prevalence of MZB1-positive Plasma B Cells in Human Lung and Skin Fibrosis. Am J Respir Crit Care Med. 2017 doi: 10.1164/rccm.201611-2263OC. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 58.Burgstaller G, Oehrle B, Gerckens M, White ES, Schiller HB, Eickelberg O. The instructive extracellular matrix of the lung: basic composition and alterations in chronic lung disease. Eur Respir J. 2017;50(1) doi: 10.1183/13993003.01805-2016. [DOI] [PubMed] [Google Scholar]
- 59.Karsdal MA, Nielsen MJ, Sand JM, Henriksen K, Genovese F, Bay-Jensen AC, Smith V, Adamkewicz JI, Christiansen C, Leeming DJ. Extracellular matrix remodeling: the common denominator in connective tissue diseases. Possibilities for evaluation and current understanding of the matrix as more than a passive architecture, but a key player in tissue failure. Assay and drug development technologies. 2013;11(2):70–92. doi: 10.1089/adt.2012.474. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 60.Lu P, Takai K, Weaver VM, Werb Z. Extracellular matrix degradation and remodeling in development and disease. Cold Spring Harbor perspectives in biology. 2011;3(12) doi: 10.1101/cshperspect.a005058. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 61.Rogers LD, Overall CM. Proteolytic post-translational modification of proteins: proteomic tools and methodology. Molecular & cellular proteomics : MCP. 2013;12(12):3532–42. doi: 10.1074/mcp.M113.031310. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 62.Sasisekharan R, Raman R, Prabhakar V. Glycomics approach to structure-function relationships of glycosaminoglycans. Annual review of biomedical engineering. 2006;8:181–231. doi: 10.1146/annurev.bioeng.8.061505.095745. [DOI] [PubMed] [Google Scholar]
- 63.Carson JP, Eichele G, Chiu W. A method for automated detection of gene expression required for the establishment of a digital transcriptome-wide gene expression atlas. Journal of microscopy. 2005;217(Pt 3):275–81. doi: 10.1111/j.1365-2818.2005.01450.x. [DOI] [PubMed] [Google Scholar]
- 64.Carson JP, Ju T, Thaller C, Warren J, Bello M, Kakadiaris I, Chiu W, Eichele G. Automated characterization of gene expression patterns with an atlas of the mouse brain. Conference proceedings : … Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference. 2004;4:2917–20. doi: 10.1109/IEMBS.2004.1403829. [DOI] [PubMed] [Google Scholar]
- 65.Wright AT, Song JD, Cravatt BF. A suite of activity-based probes for human cytochrome P450 enzymes. J Am Chem Soc. 2009;131(30):10692–700. doi: 10.1021/ja9037609. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 66.Vickerman JC. Molecular imaging and depth profiling by mass spectrometry--SIMS, MALDI or DESI? The Analyst. 2011;136(11):2199–217. doi: 10.1039/c1an00008j. [DOI] [PubMed] [Google Scholar]
- 67.Laskin J, Heath BS, Roach PJ, Cazares L, Semmes OJ. Tissue imaging using nanospray desorption electrospray ionization mass spectrometry. Anal Chem. 2012;84(1):141–8. doi: 10.1021/ac2021322. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 68.Lanekoff I, Heath BS, Liyu A, Thomas M, Carson JP, Laskin J. Automated platform for high-resolution tissue imaging using nanospray desorption electrospray ionization mass spectrometry. Anal Chem. 2012;84(19):8351–6. doi: 10.1021/ac301909a. [DOI] [PubMed] [Google Scholar]
- 69.Shi G, Azoulay M, Dingli F, Lamaze C, Loew D, Florent JC, Johannes L. SNAP-tag based proteomics approach for the study of the retrograde route. Traffic. 2012;13(7):914–25. doi: 10.1111/j.1600-0854.2012.01357.x. [DOI] [PubMed] [Google Scholar]
- 70.Gessel M, Spraggins JM, Voziyan P, Hudson BG, Caprioli RM. Decellularization of intact tissue enables MALDI imaging mass spectrometry analysis of the extracellular matrix. J Mass Spectrom. 2015;50(11):1288–93. doi: 10.1002/jms.3696. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 71.Chen X, Nadiarynkh O, Plotnikov S, Campagnola PJ. Second harmonic generation microscopy for quantitative analysis of collagen fibrillar structure. Nature protocols. 2012;7(4):654–69. doi: 10.1038/nprot.2012.009. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 72.Sell DR, Monnier VM. Structure elucidation of a senescence cross-link from human extracellular matrix. Implication of pentoses in the aging process. J Biol Chem. 1989;264(36):21597–602. [PubMed] [Google Scholar]
- 73.van der Slot AJ, Zuurmond AM, van den Bogaerdt AJ, Ulrich MM, Middelkoop E, Boers W, Karel Ronday H, DeGroot J, Huizinga TW, Bank RA. Increased formation of pyridinoline cross-links due to higher telopeptide lysyl hydroxylase levels is a general fibrotic phenomenon. Matrix biology : journal of the International Society for Matrix Biology. 2004;23(4):251–7. doi: 10.1016/j.matbio.2004.06.001. [DOI] [PubMed] [Google Scholar]
- 74.Lu J, Auduong L, White ES, Yue X. Up-regulation of heparan sulfate 6-O-sulfation in idiopathic pulmonary fibrosis. Am J Respir Cell Mol Biol. 2014;50(1):106–14. doi: 10.1165/rcmb.2013-0204OC. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 75.Wang X, Inoue S, Gu J, Miyoshi E, Noda K, Li W, Mizuno-Horikawa Y, Nakano M, Asahi M, Takahashi M, Uozumi N, Ihara S, Lee SH, Ikeda Y, Yamaguchi Y, Aze Y, Tomiyama Y, Fujii J, Suzuki K, Kondo A, Shapiro SD, Lopez-Otin C, Kuwaki T, Okabe M, Honke K, Taniguchi N. Dysregulation of TGF-beta1 receptor activation leads to abnormal lung development and emphysema-like phenotype in core fucose-deficient mice. Proc Natl Acad Sci U S A. 2005;102(44):15791–6. doi: 10.1073/pnas.0507375102. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 76.Larios JM, Budhiraja R, Fanburg BL, Thannickal VJ. Oxidative protein cross-linking reactions involving L-tyrosine in transforming growth factor-beta1-stimulated fibroblasts. J Biol Chem. 2001;276(20):17437–41. doi: 10.1074/jbc.M100426200. [DOI] [PubMed] [Google Scholar]
- 77.Cheng DT, Kim DK, Cockayne DA, Belousov A, Bitter H, Cho MH, Duvoix A, Edwards LD, Lomas DA, Miller BE, Reynaert N, Tal-Singer R, Wouters EF, Agusti A, Fabbri LM, Rames A, Visvanathan S, Rennard SI, Jones P, Parmar H, MacNee W, Wolff G, Silverman EK, Mayer RJ, Pillai SG, Tesra E Investigators. Systemic soluble receptor for advanced glycation endproducts is a biomarker of emphysema and associated with AGER genetic variants in patients with chronic obstructive pulmonary disease. Am J Respir Crit Care Med. 2013;188(8):948–57. doi: 10.1164/rccm.201302-0247OC. [DOI] [PubMed] [Google Scholar]
- 78.Clark P, Connolly P, Curtis AS, Dow JA, Wilkinson CD. Topographical control of cell behaviour. I. Simple step cues. Development. 1987;99(3):439–48. doi: 10.1242/dev.99.3.439. [DOI] [PubMed] [Google Scholar]
- 79.Oh S, Brammer KS, Li YS, Teng D, Engler AJ, Chien S, Jin S. Stem cell fate dictated solely by altered nanotube dimension. Proc Natl Acad Sci U S A. 2009;106(7):2130–5. doi: 10.1073/pnas.0813200106. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 80.Provenzano PP, Inman DR, Eliceiri KW, Trier SM, Keely PJ. Contact guidance mediated three-dimensional cell migration is regulated by Rho/ROCK-dependent matrix reorganization. Biophys J. 2008;95(11):5374–84. doi: 10.1529/biophysj.108.133116. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 81.Petrie RJ, Doyle AD, Yamada KM. Random versus directionally persistent cell migration. Nat Rev Mol Cell Biol. 2009;10(8):538–49. doi: 10.1038/nrm2729. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 82.White ES, Thannickal VJ, Carskadon SL, Dickie EG, Livant DL, Markwart S, Toews GB, Arenberg DA. Integrin alpha4beta1 regulates migration across basement membranes by lung fibroblasts: a role for phosphatase and tensin homologue deleted on chromosome 10. Am J Respir Crit Care Med. 2003;168(4):436–42. doi: 10.1164/rccm.200301-041OC. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 83.Li Y, Jiang D, Liang J, Meltzer EB, Gray A, Miura R, Wogensen L, Yamaguchi Y, Noble PW. Severe lung fibrosis requires an invasive fibroblast phenotype regulated by hyaluronan and CD44. J Exp Med. 2011;208(7):1459–71. doi: 10.1084/jem.20102510. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 84.Chen H, Qu J, Huang X, Kurundkar A, Zhu L, Yang N, Venado A, Ding Q, Liu G, Antony VB, Thannickal VJ, Zhou Y. Mechanosensing by the alpha6-integrin confers an invasive fibroblast phenotype and mediates lung fibrosis. Nat Commun. 2016;7:12564. doi: 10.1038/ncomms12564. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 85.Katzenstein AL, Myers JL. Idiopathic pulmonary fibrosis: clinical relevance of pathologic classification. Am J Respir Crit Care Med. 1998;157(4 Pt 1):1301–15. doi: 10.1164/ajrccm.157.4.9707039. [DOI] [PubMed] [Google Scholar]
- 86.Bettinger CJ, Langer R, Borenstein JT. Engineering substrate topography at the micro-and nanoscale to control cell function. Angew Chem Int Ed Engl. 2009;48(30):5406–15. doi: 10.1002/anie.200805179. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 87.Bettinger CJ, Orrick B, Misra A, Langer R, Borenstein JT. Microfabrication of poly (glycerol-sebacate) for contact guidance applications. Biomaterials. 2006;27(12):2558–65. doi: 10.1016/j.biomaterials.2005.11.029. [DOI] [PubMed] [Google Scholar]
- 88.Dalby MJ, Riehle MO, Yarwood SJ, Wilkinson CD, Curtis AS. Nucleus alignment and cell signaling in fibroblasts: response to a micro-grooved topography. Exp Cell Res. 2003;284(2):274–82. doi: 10.1016/s0014-4827(02)00053-8. [DOI] [PubMed] [Google Scholar]
- 89.Jayarama Reddy V, Radhakrishnan S, Ravichandran R, Mukherjee S, Balamurugan R, Sundarrajan S, Ramakrishna S. Nanofibrous structured biomimetic strategies for skin tissue regeneration. Wound Repair Regen. 2013;21(1):1–16. doi: 10.1111/j.1524-475X.2012.00861.x. [DOI] [PubMed] [Google Scholar]
- 90.Nikkhah M, Edalat F, Manoucheri S, Khademhosseini A. Engineering microscale topographies to control the cell-substrate interface. Biomaterials. 2012;33(21):5230–46. doi: 10.1016/j.biomaterials.2012.03.079. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 91.Unadkat HV, Hulsman M, Cornelissen K, Papenburg BJ, Truckenmuller RK, Carpenter AE, Wessling M, Post GF, Uetz M, Reinders MJ, Stamatialis D, van Blitterswijk CA, de Boer J. An algorithm-based topographical biomaterials library to instruct cell fate. Proc Natl Acad Sci U S A. 2011;108(40):16565–70. doi: 10.1073/pnas.1109861108. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 92.Liu F, Mih JD, Shea BS, Kho AT, Sharif AS, Tager AM, Tschumperlin DJ. Feedback amplification of fibrosis through matrix stiffening and COX-2 suppression. J Cell Biol. 2010;190(4):693–706. doi: 10.1083/jcb.201004082. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 93.Booth AJ, Hadley R, Cornett AM, Dreffs AA, Matthes SA, Tsui JL, Weiss K, Horowitz JC, Fiore VF, Barker TH, Moore BB, Martinez FJ, Niklason LE, White ES. Acellular normal and fibrotic human lung matrices as a culture system for in vitro investigation. Am J Respir Crit Care Med. 2012;186(9):866–76. doi: 10.1164/rccm.201204-0754OC. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 94.Brown AC, Fiore VF, Sulchek TA, Barker TH. Physical and chemical microenvironmental cues orthogonally control the degree and duration of fibrosis-associated epithelial-to-mesenchymal transitions. J Pathol. 2013;229(1):25–35. doi: 10.1002/path.4114. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 95.Luque T, Melo E, Garreta E, Cortiella J, Nichols J, Farre R, Navajas D. Local micromechanical properties of decellularized lung scaffolds measured with atomic force microscopy. Acta biomaterialia. 2013;9(6):6852–9. doi: 10.1016/j.actbio.2013.02.044. [DOI] [PubMed] [Google Scholar]
- 96.Melo E, Cardenes N, Garreta E, Luque T, Rojas M, Navajas D, Farre R. Inhomogeneity of local stiffness in the extracellular matrix scaffold of fibrotic mouse lungs. Journal of the mechanical behavior of biomedical materials. 2014;37:186–95. doi: 10.1016/j.jmbbm.2014.05.019. [DOI] [PubMed] [Google Scholar]
- 97.Melo E, Garreta E, Luque T, Cortiella J, Nichols J, Navajas D, Farre R. Effects of the decellularization method on the local stiffness of acellular lungs, Tissue engineering. Part C. Methods. 2014;20(5):412–22. doi: 10.1089/ten.TEC.2013.0325. [DOI] [PubMed] [Google Scholar]
- 98.Shkumatov A, Thompson M, Choi KM, Sicard D, Baek K, Kim DH, Tschumperlin DJ, Prakash YS, Kong H. Matrix stiffness-modulated proliferation and secretory function of the airway smooth muscle cells. Am J Physiol Lung Cell Mol Physiol. 2015;308(11):L1125–35. doi: 10.1152/ajplung.00154.2014. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 99.Bennett KM, Afanador MD, Lal CV, Xu H, Persad E, Legan SK, Chenaux G, Dellinger M, Savani RC, Dravis C, Henkemeyer M, Schwarz MA. Ephrin-B2 reverse signaling increases alpha5beta1 integrin-mediated fibronectin deposition and reduces distal lung compliance. Am J Respir Cell Mol Biol. 2013;49(4):680–7. doi: 10.1165/rcmb.2013-0002OC. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 100.Birukova AA, Tian X, Cokic I, Beckham Y, Gardel ML, Birukov KG. Endothelial barrier disruption and recovery is controlled by substrate stiffness. Microvascular research. 2013;87:50–7. doi: 10.1016/j.mvr.2012.12.006. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 101.Eisenberg JL, Safi A, Wei X, Espinosa HD, Budinger GS, Takawira D, Hopkinson SB, Jones JC. Substrate stiffness regulates extracellular matrix deposition by alveolar epithelial cells. Research and reports in biology. 2011;2011(2):1–12. doi: 10.2147/RRB.S13178. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 102.Huang X, Yang N, Fiore VF, Barker TH, Sun Y, Morris SW, Ding Q, Thannickal VJ, Zhou Y. Matrix stiffness-induced myofibroblast differentiation is mediated by intrinsic mechanotransduction. Am J Respir Cell Mol Biol. 2012;47(3):340–8. doi: 10.1165/rcmb.2012-0050OC. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 103.Krishnan R, Klumpers DD, Park CY, Rajendran K, Trepat X, van Bezu J, van Hinsbergh VW, Carman CV, Brain JD, Fredberg JJ, Butler JP, van Nieuw Amerongen GP. Substrate stiffening promotes endothelial monolayer disruption through enhanced physical forces. Am J Physiol Cell Physiol. 2011;300(1):C146–54. doi: 10.1152/ajpcell.00195.2010. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 104.Mambetsariev I, Tian Y, Wu T, Lavoie T, Solway J, Birukov KG, Birukova AA. Stiffness-activated GEF-H1 expression exacerbates LPS-induced lung inflammation. PLoS One. 2014;9(4):e92670. doi: 10.1371/journal.pone.0092670. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 105.Marinkovic A, Liu F, Tschumperlin DJ. Matrices of physiologic stiffness potently inactivate idiopathic pulmonary fibrosis fibroblasts. Am J Respir Cell Mol Biol. 2013;48(4):422–30. doi: 10.1165/rcmb.2012-0335OC. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 106.Marinkovic A, Mih JD, Park JA, Liu F, Tschumperlin DJ. Improved throughput traction microscopy reveals pivotal role for matrix stiffness in fibroblast contractility and TGF-beta responsiveness. Am J Physiol Lung Cell Mol Physiol. 2012;303(3):L169–80. doi: 10.1152/ajplung.00108.2012. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 107.Discher DE, Mooney DJ, Zandstra PW. Growth factors, matrices, and forces combine and control stem cells. Science. 2009;324(5935):1673–7. doi: 10.1126/science.1171643. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 108.Wipff PJ, Rifkin DB, Meister JJ, Hinz B. Myofibroblast contraction activates latent TGF-beta1 from the extracellular matrix. J Cell Biol. 2007;179(6):1311–23. doi: 10.1083/jcb.200704042. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 109.Liu F, Lagares D, Choi KM, Stopfer L, Marinkovic A, Vrbanac V, Probst CK, Hiemer SE, Sisson TH, Horowitz JC, Rosas IO, Fredenburgh LE, Feghali-Bostwick C, Varelas X, Tager AM, Tschumperlin DJ. Mechanosignaling through YAP and TAZ drives fibroblast activation and fibrosis. Am J Physiol Lung Cell Mol Physiol. 2015;308(4):L344–57. doi: 10.1152/ajplung.00300.2014. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 110.Zhou Y, Huang X, Hecker L, Kurundkar D, Kurundkar A, Liu H, Jin TH, Desai L, Bernard K, Thannickal VJ. Inhibition of mechanosensitive signaling in myofibroblasts ameliorates experimental pulmonary fibrosis. J Clin Invest. 2013;123(3):1096–108. doi: 10.1172/JCI66700. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 111.Janoff A. Elastases and emphysema. Current assessment of the protease-antiprotease hypothesis. Am Rev Respir Dis. 1985;132(2):417–33. doi: 10.1164/arrd.1985.132.2.417. [DOI] [PubMed] [Google Scholar]
- 112.Vlahovic G, Russell ML, Mercer RR, Crapo JD. Cellular and connective tissue changes in alveolar septal walls in emphysema. Am J Respir Crit Care Med. 1999;160(6):2086–92. doi: 10.1164/ajrccm.160.6.9706031. [DOI] [PubMed] [Google Scholar]
- 113.Deslee G, Woods JC, Moore CM, Liu L, Conradi SH, Milne M, Gierada DS, Pierce J, Patterson A, Lewit RA, Battaile JT, Holtzman MJ, Hogg JC, Pierce RA. Elastin expression in very severe human COPD. Eur Respir J. 2009;34(2):324–31. doi: 10.1183/09031936.00123008. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 114.Lang MR, Fiaux GW, Gillooly M, Stewart JA, Hulmes DJ, Lamb D. Collagen content of alveolar wall tissue in emphysematous and non-emphysematous lungs. Thorax. 1994;49(4):319–26. doi: 10.1136/thx.49.4.319. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 115.Fukuda Y, Masuda Y, Ishizaki M, Masugi Y, Ferrans VJ. Morphogenesis of abnormal elastic fibers in lungs of patients with panacinar and centriacinar emphysema. Hum Pathol. 1989;20(7):652–9. doi: 10.1016/0046-8177(89)90152-4. [DOI] [PubMed] [Google Scholar]
- 116.Merrilees MJ, Ching PS, Beaumont B, Hinek A, Wight TN, Black PN, Changes in elastin. elastin binding protein and versican in alveoli in chronic obstructive pulmonary disease. Respir Res. 2008;9:41. doi: 10.1186/1465-9921-9-41. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 117.Wright JL, Churg A. Smoke-induced emphysema in guinea pigs is associated with morphometric evidence of collagen breakdown and repair. Am J Physiol. 1995;268(1 Pt 1):L17–20. doi: 10.1152/ajplung.1995.268.1.L17. [DOI] [PubMed] [Google Scholar]
- 118.Anciaes AM, Olivo CR, Prado CM, Kagohara KH, Pinto Tda S, Moriya HT, Mauad T, Martins Mde A, Lopes FD. Respiratory mechanics do not always mirror pulmonary histological changes in emphysema. Clinics. 2011;66(10):1797–803. doi: 10.1590/S1807-59322011001000020. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 119.Hamakawa H, Bartolak-Suki E, Parameswaran H, Majumdar A, Lutchen KR, Suki B. Structure-function relations in an elastase-induced mouse model of emphysema. Am J Respir Cell Mol Biol. 2011;45(3):517–24. doi: 10.1165/rcmb.2010-0473OC. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 120.Lucey EC, Goldstein RH, Stone PJ, Snider GL. Remodeling of alveolar walls after elastase treatment of hamsters. Results of elastin and collagen mRNA in situ hybridization. Am J Respir Crit Care Med. 1998;158(2):555–64. doi: 10.1164/ajrccm.158.2.9705021. [DOI] [PubMed] [Google Scholar]
- 121.Foronjy R, D’Armiento J. The role of collagenase in emphysema. Respir Res. 2001;2(6):348–52. doi: 10.1186/rr85. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 122.Hinek A, Mecham RP, Keeley F, Rabinovitch M. Impaired elastin fiber assembly related to reduced 67-kD elastin-binding protein in fetal lamb ductus arteriosus and in cultured aortic smooth muscle cells treated with chondroitin sulfate. J Clin Invest. 1991;88(6):2083–94. doi: 10.1172/JCI115538. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 123.Hogg JC, Macklem PT, Thurlbeck WM. Site and nature of airway obstruction in chronic obstructive lung disease. N Engl J Med. 1968;278(25):1355–60. doi: 10.1056/NEJM196806202782501. [DOI] [PubMed] [Google Scholar]
- 124.Cosio M, Ghezzo H, Hogg JC, Corbin R, Loveland M, Dosman J, Macklem PT. The relations between structural changes in small airways and pulmonary-function tests. N Engl J Med. 1978;298(23):1277–81. doi: 10.1056/NEJM197806082982303. [DOI] [PubMed] [Google Scholar]
- 125.Kirby M, Tanabe N, Tan WC, Zhou G, Obeidat M, Hague CJ, Leipsic J, Bourbeau J, Sin DD, Hogg JC, Coxson HO, Can CCRG N. the Canadian Respiratory Research. Total Airway Count on Computed Tomography and the Risk of COPD Progression: Findings from a Population-based Study. Am J Respir Crit Care Med. 2017 doi: 10.1164/rccm.201704-0692OC. [DOI] [PubMed] [Google Scholar]
- 126.Eurlings IM, Dentener MA, Cleutjens JP, Peutz CJ, Rohde GG, Wouters EF, Reynaert NL. Similar matrix alterations in alveolar and small airway walls of COPD patients. BMC Pulm Med. 2014;14:90. doi: 10.1186/1471-2466-14-90. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 127.Harju T, Kinnula VL, Paakko P, Salmenkivi K, Risteli J, Kaarteenaho R. Variability in the precursor proteins of collagen I and III in different stages of COPD. Respir Res. 2010;11:165. doi: 10.1186/1465-9921-11-165. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 128.Black PN, Ching PS, Beaumont B, Ranasinghe S, Taylor G, Merrilees MJ. Changes in elastic fibres in the small airways and alveoli in COPD. Eur Respir J. 2008;31(5):998–1004. doi: 10.1183/09031936.00017207. [DOI] [PubMed] [Google Scholar]
- 129.McDonough JE, Yuan R, Suzuki M, Seyednejad N, Elliott WM, Sanchez PG, Wright AC, Gefter WB, Litzky L, Coxson HO, Pare PD, Sin DD, Pierce RA, Woods JC, McWilliams AM, Mayo JR, Lam SC, Cooper JD, Hogg JC. Small-airway obstruction and emphysema in chronic obstructive pulmonary disease. N Engl J Med. 2011;365(17):1567–75. doi: 10.1056/NEJMoa1106955. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 130.Churg A, Zhou S, Preobrazhenska O, Tai H, Wang R, Wright JL. Expression of profibrotic mediators in small airways versus parenchyma after cigarette smoke exposure. Am J Respir Cell Mol Biol. 2009;40(3):268–76. doi: 10.1165/rcmb.2007-0367OC. [DOI] [PubMed] [Google Scholar]
- 131.Cottin V, Cordier JF. Combined pulmonary fibrosis and emphysema: an experimental and clinically relevant phenotype. Am J Respir Crit Care Med. 2005;172(12):1605. doi: 10.1164/ajrccm.172.12.1605a. author reply 1605-6. [DOI] [PubMed] [Google Scholar]
- 132.Mejia M, Carrillo G, Rojas-Serrano J, Estrada A, Suarez T, Alonso D, Barrientos E, Gaxiola M, Navarro C, Selman M. Idiopathic pulmonary fibrosis and emphysema: decreased survival associated with severe pulmonary arterial hypertension. Chest. 2009;136(1):10–15. doi: 10.1378/chest.08-2306. [DOI] [PubMed] [Google Scholar]
- 133.Ryerson CJ, Hartman T, Elicker BM, Ley B, Lee JS, Abbritti M, Jones KD, King TE, Jr, Ryu J, Collard HR. Clinical features and outcomes in combined pulmonary fibrosis and emphysema in idiopathic pulmonary fibrosis. Chest. 2013;144(1):234–240. doi: 10.1378/chest.12-2403. [DOI] [PubMed] [Google Scholar]
- 134.Sugino K, Ishida F, Kikuchi N, Hirota N, Sano G, Sato K, Isobe K, Sakamoto S, Takai Y, Homma S. Comparison of clinical characteristics and prognostic factors of combined pulmonary fibrosis and emphysema versus idiopathic pulmonary fibrosis alone. Respirology. 2014;19(2):239–45. doi: 10.1111/resp.12207. [DOI] [PubMed] [Google Scholar]
- 135.Schmidt SL, Nambiar AM, Tayob N, Sundaram B, Han MK, Gross BH, Kazerooni EA, Chughtai AR, Lagstein A, Myers JL, Murray S, Toews GB, Martinez FJ, Flaherty KR. Pulmonary function measures predict mortality differently in idiopathic pulmonary fibrosis versus combined pulmonary fibrosis and emphysema. Eur Respir J. 2010 doi: 10.1183/09031936.00114010. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 136.Lee CH, Kim HJ, Park CM, Lim KY, Lee JY, Kim DJ, Yeon JH, Hwang SS, Kim DK, Lee SM, Yim JJ, Yang SC, Yoo CG, Chung HS, Kim YW, Han SK, Shim YS. The impact of combined pulmonary fibrosis and emphysema on mortality. Int J Tuberc Lung Dis. 2011;15(8):1111–6. doi: 10.5588/ijtld.10.0491. [DOI] [PubMed] [Google Scholar]
- 137.Urban Z, Gao J, Pope FM, Davis EC. Autosomal dominant cutis laxa with severe lung disease: synthesis and matrix deposition of mutant tropoelastin. J Invest Dermatol. 2005;124(6):1193–9. doi: 10.1111/j.0022-202X.2005.23758.x. [DOI] [PubMed] [Google Scholar]
- 138.Dowton SB, Pincott S, Demmer L. Respiratory complications of Ehlers-Danlos syndrome type IV. Clin Genet. 1996;50(6):510–4. doi: 10.1111/j.1399-0004.1996.tb02724.x. [DOI] [PubMed] [Google Scholar]
- 139.Cupo LN, Pyeritz RE, Olson JL, McPhee SJ, Hutchins GM, McKusick VA. Ehlers-Danlos syndrome with abnormal collagen fibrils, sinus of Valsalva aneurysms, myocardial infarction, panacinar emphysema and cerebral heterotopias. Am J Med. 1981;71(6):1051–8. doi: 10.1016/0002-9343(81)90341-7. [DOI] [PubMed] [Google Scholar]
- 140.Callewaert B, Su CT, Van Damme T, Vlummens P, Malfait F, Vanakker O, Schulz B, Mac Neal M, Davis EC, Lee JG, Salhi A, Unger S, Heimdal K, De Almeida S, Kornak U, Gaspar H, Bresson JL, Prescott K, Gosendi ME, Mansour S, Pierard GE, Madan-Khetarpal S, Sciurba FC, Symoens S, Coucke PJ, Van Maldergem L, Urban Z, De Paepe A. Comprehensive clinical and molecular analysis of 12 families with type 1 recessive cutis laxa. Hum Mutat. 2013;34(1):111–21. doi: 10.1002/humu.22165. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 141.Dyhdalo K, Farver C. Pulmonary histologic changes in Marfan syndrome: a case series and literature review. Am J Clin Pathol. 2011;136(6):857–63. doi: 10.1309/AJCP79SNDHGKQFIN. [DOI] [PubMed] [Google Scholar]
- 142.Robbesom AA, Koenders MM, Smits NC, Hafmans T, Versteeg EM, Bulten J, Veerkamp JH, Dekhuijzen PN, van Kuppevelt TH. Aberrant fibrillin-1 expression in early emphysematous human lung: a proposed predisposition for emphysema. Mod Pathol. 2008;21(3):297–307. doi: 10.1038/modpathol.3801004. [DOI] [PubMed] [Google Scholar]
- 143.Brandsma CA, van den Berge M, Postma DS, Jonker MR, Brouwer S, Pare PD, Sin DD, Bosse Y, Laviolette M, Karjalainen J, Fehrmann RS, Nickle DC, Hao K, Spanjer AI, Timens W, Franke L. A large lung gene expression study identifying fibulin-5 as a novel player in tissue repair in COPD. Thorax. 2015;70(1):21–32. doi: 10.1136/thoraxjnl-2014-205091. [DOI] [PubMed] [Google Scholar]
- 144.Castaldi PJ, Cho MH, Zhou X, Qiu W, McGeachie M, Celli B, Bakke P, Gulsvik A, Lomas DA, Crapo JD, Beaty TH, Rennard S, Harshfield B, Lange C, Singh D, Tal-Singer R, Riley JH, Quackenbush J, Raby BA, Carey VJ, Silverman EK, Hersh CP. Genetic control of gene expression at novel and established chronic obstructive pulmonary disease loci. Hum Mol Genet. 2015;24(4):1200–10. doi: 10.1093/hmg/ddu525. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 145.Cho MH, Castaldi PJ, Wan ES, Siedlinski M, Hersh CP, Demeo DL, Himes BE, Sylvia JS, Klanderman BJ, Ziniti JP, Lange C, Litonjua AA, Sparrow D, Regan EA, Make BJ, Hokanson JE, Murray T, Hetmanski JB, Pillai SG, Kong X, Anderson WH, Tal-Singer R, Lomas DA, Coxson HO, Edwards LD, MacNee W, Vestbo J, Yates JC, Agusti A, Calverley PM, Celli B, Crim C, Rennard S, Wouters E, Bakke P, Gulsvik A, Crapo JD, Beaty TH, Silverman EK, Investigators I, Investigators E, Investigators CO. A genome-wide association study of COPD identifies a susceptibility locus on chromosome 19q13. Hum Mol Genet. 2012;21(4):947–57. doi: 10.1093/hmg/ddr524. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 146.Cho MH, McDonald ML, Zhou X, Mattheisen M, Castaldi PJ, Hersh CP, Demeo DL, Sylvia JS, Ziniti J, Laird NM, Lange C, Litonjua AA, Sparrow D, Casaburi R, Barr RG, Regan EA, Make BJ, Hokanson JE, Lutz S, Dudenkov TM, Farzadegan H, Hetmanski JB, Tal-Singer R, Lomas DA, Bakke P, Gulsvik A, Crapo JD, Silverman EK, Beaty TH, Nett Genetics IE, Investigators CO. Risk loci for chronic obstructive pulmonary disease: a genome-wide association study and meta-analysis. Lancet Respir Med. 2014;2(3):214–25. doi: 10.1016/S2213-2600(14)70002-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 147.Celedon JC, Lange C, Raby BA, Litonjua AA, Palmer LJ, DeMeo DL, Reilly JJ, Kwiatkowski DJ, Chapman HA, Laird N, Sylvia JS, Hernandez M, Speizer FE, Weiss ST, Silverman EK. The transforming growth factor-beta1 (TGFB1) gene is associated with chronic obstructive pulmonary disease (COPD) Hum Mol Genet. 2004;13(15):1649–56. doi: 10.1093/hmg/ddh171. [DOI] [PubMed] [Google Scholar]
- 148.van Diemen CC, Postma DS, Vonk JM, Bruinenberg M, Nolte IM, Boezen HM. Decorin and TGF-beta1 polymorphisms and development of COPD in a general population. Respir Res. 2006;7:89. doi: 10.1186/1465-9921-7-89. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 149.Castaldi PJ, Cho MH, San Jose Estepar R, McDonald ML, Laird N, Beaty TH, Washko G, Crapo JD, Silverman EK, Investigators CO. Genome-wide association identifies regulatory Loci associated with distinct local histogram emphysema patterns. Am J Respir Crit Care Med. 2014;190(4):399–409. doi: 10.1164/rccm.201403-0569OC. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 150.Kirkham PA, Barnes PJ. Oxidative stress in COPD. Chest. 2013;144(1):266–273. doi: 10.1378/chest.12-2664. [DOI] [PubMed] [Google Scholar]
- 151.van Eeden SF, Sin DD. Oxidative stress in chronic obstructive pulmonary disease: a lung and systemic process. Can Respir J. 2013;20(1):27–9. doi: 10.1155/2013/509130. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 152.Nguyen AD, Itoh S, Jeney V, Yanagisawa H, Fujimoto M, Ushio-Fukai M, Fukai T. Fibulin-5 is a novel binding protein for extracellular superoxide dismutase. Circ Res. 2004;95(11):1067–74. doi: 10.1161/01.RES.0000149568.85071.FB. [DOI] [PubMed] [Google Scholar]
- 153.Petersen SV, Oury TD, Ostergaard L, Valnickova Z, Wegrzyn J, Thogersen IB, Jacobsen C, Bowler RP, Fattman CL, Crapo JD, Enghild JJ. Extracellular superoxide dismutase (EC-SOD) binds to type i collagen and protects against oxidative fragmentation. J Biol Chem. 2004;279(14):13705–10. doi: 10.1074/jbc.M310217200. [DOI] [PubMed] [Google Scholar]
- 154.Yao H, Arunachalam G, Hwang JW, Chung S, Sundar IK, Kinnula VL, Crapo JD, Rahman I. Extracellular superoxide dismutase protects against pulmonary emphysema by attenuating oxidative fragmentation of ECM. Proc Natl Acad Sci U S A. 2010;107(35):15571–6. doi: 10.1073/pnas.1007625107. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 155.Poonyagariyagorn HK, Metzger S, Dikeman D, Mercado AL, Malinina A, Calvi C, McGrath-Morrow S, Neptune ER. Superoxide dismutase 3 dysregulation in a murine model of neonatal lung injury. Am J Respir Cell Mol Biol. 2014;51(3):380–90. doi: 10.1165/rcmb.2013-0043OC. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 156.Sorheim IC, DeMeo DL, Washko G, Litonjua A, Sparrow D, Bowler R, Bakke P, Pillai SG, Coxson HO, Lomas DA, Silverman EK, Hersh CP, International CGNI. Polymorphisms in the superoxide dismutase-3 gene are associated with emphysema in COPD. COPD. 2010;7(4):262–8. doi: 10.3109/15412555.2010.496821. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 157.Dahl M, Bowler RP, Juul K, Crapo JD, Levy S, Nordestgaard BG. Superoxide dismutase 3 polymorphism associated with reduced lung function in two large populations. Am J Respir Crit Care Med. 2008;178(9):906–12. doi: 10.1164/rccm.200804-549OC. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 158.Friedman SL, Sheppard D, Duffield JS, Violette S. Therapy for fibrotic diseases: nearing the starting line. Science translational medicine. 2013;5(167):167sr1. doi: 10.1126/scitranslmed.3004700. [DOI] [PubMed] [Google Scholar]
- 159.Kulasekaren P, Scavone CA, Rogers DS, Arenberg DA, Thannickal VJ, Horowitz JC. Endothelin-1 and TGF-{beta} Independently Induce Fibroblast Resistance to Apoptosis via AKT Activation. Am J Respir Cell Mol Biol. 2009 doi: 10.1165/rcmb.2008-0447OC. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 160.Thannickal VJ, Henke CA, Horowitz JC, Noble PW, Roman J, Sime PJ, Zhou Y, Wells RG, White ES, Tschumperlin DJ. Matrix biology of idiopathic pulmonary fibrosis: a workshop report of the national heart, lung, and blood institute. Am J Pathol. 2014;184(6):1643–51. doi: 10.1016/j.ajpath.2014.02.003. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 161.Chesnutt AN, Matthay MA, Tibayan FA, Clark JG. Early detection of type III procollagen peptide in acute lung injury. Pathogenetic and prognostic significance. Am J Respir Crit Care Med. 1997;156(3 Pt 1):840–5. doi: 10.1164/ajrccm.156.3.9701124. [DOI] [PubMed] [Google Scholar]
- 162.Clark JG, Milberg JA, Steinberg KP, Hudson LD. Type III procollagen peptide in the adult respiratory distress syndrome. Association of increased peptide levels in bronchoalveolar lavage fluid with increased risk for death. Ann Intern Med. 1995;122(1):17–23. doi: 10.7326/0003-4819-122-1-199501010-00003. [DOI] [PubMed] [Google Scholar]
- 163.Polunovsky VA, Chen B, Henke C, Snover D, Wendt C, Ingbar DH, Bitterman PB. Role of mesenchymal cell death in lung remodeling after injury. J Clin Invest. 1993;92(1):388–97. doi: 10.1172/JCI116578. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 164.Herridge MS. Recovery and long-term outcome in acute respiratory distress syndrome. Critical care clinics. 2011;27(3):685–704. doi: 10.1016/j.ccc.2011.04.003. [DOI] [PubMed] [Google Scholar]
- 165.Bo Li Z, Zhang J, Wagner KR. Inhibition of myostatin reverses muscle fibrosis through apoptosis. J Cell Sci. 2012;125(Pt 17):3957–65. doi: 10.1242/jcs.090365. [DOI] [PubMed] [Google Scholar]
- 166.Fioretto P, Steffes MW, Sutherland DE, Goetz FC, Mauer M. Reversal of lesions of diabetic nephropathy after pancreas transplantation. N Engl J Med. 1998;339(2):69–75. doi: 10.1056/NEJM199807093390202. [DOI] [PubMed] [Google Scholar]
- 167.Kisseleva T, Cong M, Paik Y, Scholten D, Jiang C, Benner C, Iwaisako K, Moore-Morris T, Scott B, Tsukamoto H, Evans SM, Dillmann W, Glass CK, Brenner DA. Myofibroblasts revert to an inactive phenotype during regression of liver fibrosis. Proc Natl Acad Sci U S A. 2012;109(24):9448–53. doi: 10.1073/pnas.1201840109. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 168.Sugimoto H, LeBleu VS, Bosukonda D, Keck P, Taduri G, Bechtel W, Okada H, Carlson W, Jr, Bey P, Rusckowski M, Tampe B, Tampe D, Kanasaki K, Zeisberg M, Kalluri R. Activin-like kinase 3 is important for kidney regeneration and reversal of fibrosis. Nat Med. 2012;18(3):396–404. doi: 10.1038/nm.2629. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 169.Troeger JS, Mederacke I, Gwak GY, Dapito DH, Mu X, Hsu CC, Pradere JP, Friedman RA, Schwabe RF. Deactivation of hepatic stellate cells during liver fibrosis resolution in mice. Gastroenterology. 2012;143(4):1073–83. doi: 10.1053/j.gastro.2012.06.036. e22. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 170.Hardie WD, Korfhagen TR, Sartor MA, Prestridge A, Medvedovic M, Le Cras TD, Ikegami M, Wesselkamper SC, Davidson C, Dietsch M, Nichols W, Whitsett JA, Leikauf GD. Genomic profile of matrix and vasculature remodeling in TGF-alpha induced pulmonary fibrosis. Am J Respir Cell Mol Biol. 2007;37(3):309–21. doi: 10.1165/rcmb.2006-0455OC. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 171.Lappi-Blanco E, Soini Y, Paakko P. Apoptotic activity is increased in the newly formed fibromyxoid connective tissue in bronchiolitis obliterans organizing pneumonia. Lung. 1999;177(6):367–76. doi: 10.1007/pl00007654. [DOI] [PubMed] [Google Scholar]
- 172.Montano M, Ramos C, Gonzalez G, Vadillo F, Pardo A, Selman M. Lung collagenase inhibitors and spontaneous and latent collagenase activity in idiopathic pulmonary fibrosis and hypersensitivity pneumonitis. Chest. 1989;96(5):1115–9. doi: 10.1378/chest.96.5.1115. [DOI] [PubMed] [Google Scholar]
- 173.Selman M, Ruiz V, Cabrera S, Segura L, Ramirez R, Barrios R, Pardo A. TIMP-1, −2, −3, and −4 in idiopathic pulmonary fibrosis. A prevailing nondegradative lung microenvironment? Am J Physiol Lung Cell Mol Physiol. 2000;279(3):L562–74. doi: 10.1152/ajplung.2000.279.3.L562. [DOI] [PubMed] [Google Scholar]
- 174.Okazaki I, Maruyama K. Collagenase activity in experimental hepatic fibrosis. Nature. 1974;252(5478):49–50. doi: 10.1038/252049a0. [DOI] [PubMed] [Google Scholar]
- 175.Brady AH. Collagenase in scleroderma. J Clin Invest. 1975;56(5):1175–80. doi: 10.1172/JCI108194. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 176.McKleroy W, Lee TH, Atabai K. Always cleave up your mess: targeting collagen degradation to treat tissue fibrosis. Am J Physiol Lung Cell Mol Physiol. 2013;304(11):L709–21. doi: 10.1152/ajplung.00418.2012. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 177.Holmbeck K, Bianco P, Caterina J, Yamada S, Kromer M, Kuznetsov SA, Mankani M, Robey PG, Poole AR, Pidoux I, Ward JM, Birkedal-Hansen H. MT1-MMP-deficient mice develop dwarfism, osteopenia, arthritis, and connective tissue disease due to inadequate collagen turnover. Cell. 1999;99(1):81–92. doi: 10.1016/s0092-8674(00)80064-1. [DOI] [PubMed] [Google Scholar]
- 178.Lee H, Overall CM, McCulloch CA, Sodek J. A critical role for the membrane-type 1 matrix metalloproteinase in collagen phagocytosis. Mol Biol Cell. 2006;17(11):4812–26. doi: 10.1091/mbc.E06-06-0486. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 179.Atabai K, Jame S, Azhar N, Kuo A, Lam M, McKleroy W, Dehart G, Rahman S, Xia DD, Melton AC, Wolters P, Emson CL, Turner SM, Werb Z, Sheppard D. Mfge8 diminishes the severity of tissue fibrosis in mice by binding and targeting collagen for uptake by macrophages. J Clin Invest. 2009;119(12):3713–22. doi: 10.1172/JCI40053. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 180.Bundesmann MM, Wagner TE, Chow YH, Altemeier WA, Steinbach T, Schnapp LM. Role of urokinase plasminogen activator receptor-associated protein in mouse lung. Am J Respir Cell Mol Biol. 2012;46(2):233–9. doi: 10.1165/rcmb.2010-0485OC. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 181.Lee TH, McKleroy W, Khalifeh-Soltani A, Sakuma S, Lazarev S, Riento K, Nishimura SL, Nichols BJ, Atabai K. Functional genomic screen identifies novel mediators of collagen uptake. Mol Biol Cell. 2014;25(5):583–93. doi: 10.1091/mbc.E13-07-0382. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 182.Fan MH, Zhu Q, Li HH, Ra HJ, Majumdar S, Gulick DL, Jerome JA, Madsen DH, Christofidou-Solomidou M, Speicher DW, Bachovchin WW, Feghali-Bostwick C, Pure E. Fibroblast Activation Protein (FAP) Accelerates Collagen Degradation and Clearance from Lungs in Mice. J Biol Chem. 2016;291(15):8070–89. doi: 10.1074/jbc.M115.701433. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 183.Kim SI, Na HJ, Ding Y, Wang Z, Lee SJ, Choi ME. Autophagy promotes intracellular degradation of type I collagen induced by transforming growth factor (TGF)-beta1. J Biol Chem. 2012;287(15):11677–88. doi: 10.1074/jbc.M111.308460. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 184.Romero Y, Bueno M, Ramirez R, Alvarez D, Sembrat JC, Goncharova EA, Rojas M, Selman M, Mora AL, Pardo A. mTORC1 activation decreases autophagy in aging and idiopathic pulmonary fibrosis and contributes to apoptosis resistance in IPF fibroblasts. Aging Cell. 2016 doi: 10.1111/acel.12514. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 185.Patel AS, Lin L, Geyer A, Haspel JA, An CH, Cao J, Rosas IO, Morse D. Autophagy in idiopathic pulmonary fibrosis. PLoS One. 2012;7(7):e41394. doi: 10.1371/journal.pone.0041394. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 186.Kobayashi K, Araya J, Minagawa S, Hara H, Saito N, Kadota T, Sato N, Yoshida M, Tsubouchi K, Kurita Y, Ito S, Fujita Y, Takasaka N, Utsumi H, Yanagisawa H, Hashimoto M, Wakui H, Kojima J, Shimizu K, Numata T, Kawaishi M, Kaneko Y, Asano H, Yamashita M, Odaka M, Morikawa T, Nakayama K, Kuwano K. Involvement of PARK2-Mediated Mitophagy in Idiopathic Pulmonary Fibrosis Pathogenesis. J Immunol. 2016;197(2):504–16. doi: 10.4049/jimmunol.1600265. [DOI] [PubMed] [Google Scholar]
- 187.Rangarajan S, Kurundkar A, Kurundkar D, Bernard K, Sanders YY, Ding Q, Antony VB, Zhang J, Zmijewski J, Thannickal VJ. Novel Mechanisms for the Antifibrotic Action of Nintedanib. Am J Respir Cell Mol Biol. 2016;54(1):51–9. doi: 10.1165/rcmb.2014-0445OC. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 188.Kleaveland KR, Velikoff M, Yang J, Agarwal M, Rippe RA, Moore BB, Kim KK. Fibrocytes are not an essential source of type I collagen during lung fibrosis. J Immunol. 2014;193(10):5229–39. doi: 10.4049/jimmunol.1400753. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 189.Duffield JS, Forbes SJ, Constandinou CM, Clay S, Partolina M, Vuthoori S, Wu S, Lang R, Iredale JP. Selective depletion of macrophages reveals distinct, opposing roles during liver injury and repair. J Clin Invest. 2005;115(1):56–65. doi: 10.1172/JCI22675. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 190.Gibbons MA, Mackinnon AC, Ramachandran P, Dhaliwal K, Duffin R, Phythian-Adams AT, van Rooijen N, Haslett C, Howie SE, Simpson AJ, Hirani N, Gauldie J, Iredale JP, Sethi T, Forbes SJ. Ly6Chi Monocytes Direct Alternatively Activated Pro-fibrotic Macrophage Regulation of Lung Fibrosis. Am J Respir Crit Care Med. 2011 doi: 10.1164/rccm.201010-1719OC. [DOI] [PubMed] [Google Scholar]
- 191.Ramachandran P, Pellicoro A, Vernon MA, Boulter L, Aucott RL, Ali A, Hartland SN, Snowdon VK, Cappon A, Gordon-Walker TT, Williams MJ, Dunbar DR, Manning JR, van Rooijen N, Fallowfield JA, Forbes SJ, Iredale JP. Differential Ly-6C expression identifies the recruited macrophage phenotype, which orchestrates the regression of murine liver fibrosis. Proc Natl Acad Sci U S A. 2012;109(46):E3186–95. doi: 10.1073/pnas.1119964109. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 192.Barnes MJ, Constable BJ, Morton LF, Kodicek E. Studies in vivo on the biosynthesis of collagen and elastin in ascorbic acid-deficient guinea pigs. Evidence for the formation and degradation of a partially hydroxylated collagen. Biochem J. 1970;119(3):575–85. doi: 10.1042/bj1190575. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 193.Bradley K, McConnell-Breul S, Crystal RG. Collagen in the human lung. Quantitation of rates of synthesis and partial characterization of composition. J Clin Invest. 1975;55(3):543–50. doi: 10.1172/JCI107961. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 194.McAnulty RJ, Laurent GJ. Collagen synthesis and degradation in vivo. Evidence for rapid rates of collagen turnover with extensive degradation of newly synthesized collagen in tissues of the adult rat. Coll Relat Res. 1987;7(2):93–104. doi: 10.1016/s0174-173x(87)80001-8. [DOI] [PubMed] [Google Scholar]
- 195.Last JA, Summers P, Reiser KM. Biosynthesis of collagen crosslinks. II. In vivo labelling and stability of lung collagen in rats. Biochim Biophys Acta. 1989;990(2):182–9. doi: 10.1016/s0304-4165(89)80032-7. [DOI] [PubMed] [Google Scholar]
- 196.Parker MW, Rossi D, Peterson M, Smith K, Sikstrom K, White ES, Connett JE, Henke CA, Larsson O, Bitterman PB. Fibrotic extracellular matrix activates a profibrotic positive feedback loop. J Clin Invest. 2014;124(4):1622–35. doi: 10.1172/JCI71386. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 197.Horowitz JC, Rogers DS, Sharma V, Vittal R, White ES, Cui Z, Thannickal VJ. Combinatorial activation of FAK and AKT by transforming growth factor-beta1 confers an anoikis-resistant phenotype to myofibroblasts. Cell Signal. 2007;19(4):761–71. doi: 10.1016/j.cellsig.2006.10.001. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 198.Horowitz JC, Rogers DS, Simon RH, Sisson TH, Thannickal VJ. Plasminogen activation induced pericellular fibronectin proteolysis promotes fibroblast apoptosis. Am J Respir Cell Mol Biol. 2008;38(1):78–87. doi: 10.1165/rcmb.2007-0174OC. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 199.Thannickal VJ, Lee DY, White ES, Cui Z, Larios JM, Chacon R, Horowitz JC, Day RM, Thomas PE. Myofibroblast differentiation by transforming growth factor-beta1 is dependent on cell adhesion and integrin signaling via focal adhesion kinase. J Biol Chem. 2003;278(14):12384–9. doi: 10.1074/jbc.M208544200. [DOI] [PubMed] [Google Scholar]
- 200.Horowitz JC, Ajayi IO, Kulasekaran P, Rogers DS, White JB, Townsend SK, White ES, Nho RS, Higgins PD, Huang SK, Sisson TH. Survivin expression induced by endothelin-1 promotes myofibroblast resistance to apoptosis. Int J Biochem Cell Biol. 2012;44(1):158–69. doi: 10.1016/j.biocel.2011.10.011. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 201.Fiore VF, Strane PW, Bryksin AV, White ES, Hagood JS, Barker TH. Conformational coupling of integrin and Thy-1 regulates Fyn priming and fibroblast mechanotransduction. J Cell Biol. 2015;211(1):173–90. doi: 10.1083/jcb.201505007. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 202.Liu X, Wong SS, Taype CA, Kim J, Shentu TP, Espinoza CR, Finley JC, Bradley JE, Head BP, Patel HH, Mah EJ, Hagood JS. Thy-1 interaction with Fas in lipid rafts regulates fibroblast apoptosis and lung injury resolution. Lab Invest. 2017;97(3):256–267. doi: 10.1038/labinvest.2016.145. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 203.Horowitz JC, Lee DY, Waghray M, Keshamouni VG, Thomas PE, Zhang H, Cui Z, Thannickal VJ. Activation of the pro-survival phosphatidylinositol 3-kinase/AKT pathway by transforming growth factor-beta1 in mesenchymal cells is mediated by p38 MAPK-dependent induction of an autocrine growth factor. J Biol Chem. 2004;279(2):1359–67. doi: 10.1074/jbc.M306248200. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 204.Rahaman SO, Grove LM, Paruchuri S, Southern BD, Abraham S, Niese KA, Scheraga RG, Ghosh S, Thodeti CK, Zhang DX, Moran MM, Schilling WP, Tschumperlin DJ, Olman MA. TRPV4 mediates myofibroblast differentiation and pulmonary fibrosis in mice. J Clin Invest. 2014;124(12):5225–38. doi: 10.1172/JCI75331. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 205.Penke LR, Huang SK, White ES, Peters-Golden M. Prostaglandin E2 inhibits alpha-smooth muscle actin transcription during myofibroblast differentiation via distinct mechanisms of modulation of serum response factor and myocardin-related transcription factor-A. J Biol Chem. 2014;289(24):17151–62. doi: 10.1074/jbc.M114.558130. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 206.Sandbo N, Dulin N. Actin cytoskeleton in myofibroblast differentiation: ultrastructure defining form and driving function. Translational research : the journal of laboratory and clinical medicine. 2011;158(4):181–96. doi: 10.1016/j.trsl.2011.05.004. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 207.Sandbo N, Lau A, Kach J, Ngam C, Yau D, Dulin NO. Delayed stress fiber formation mediates pulmonary myofibroblast differentiation in response to TGF-beta. Am J Physiol Lung Cell Mol Physiol. 2011;301(5):L656–66. doi: 10.1152/ajplung.00166.2011. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 208.Sisson TH, Ajayi IO, Subbotina N, Dodi AE, Rodansky ES, Chibucos LN, Kim KK, Keshamouni VG, White ES, Zhou Y, Higgins PD, Larsen SD, Neubig RR, Horowitz JC. Inhibition of myocardin-related transcription factor/serum response factor signaling decreases lung fibrosis and promotes mesenchymal cell apoptosis. Am J Pathol. 2015;185(4):969–86. doi: 10.1016/j.ajpath.2014.12.005. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 209.Ajayi IO, Sisson TH, Higgins PD, Booth AJ, Sagana RL, Huang SK, White ES, King JE, Moore BB, Horowitz JC. X-linked inhibitor of apoptosis regulates lung fibroblast resistance to Fas-mediated apoptosis. Am J Respir Cell Mol Biol. 2013;49(1):86–95. doi: 10.1165/rcmb.2012-0224OC. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 210.Maher TM, Evans IC, Bottoms SE, Mercer PF, Thorley AJ, Nicholson AG, Laurent GJ, Tetley TD, Chambers RC, McAnulty RJ. Diminished prostaglandin E2 contributes to the apoptosis paradox in idiopathic pulmonary fibrosis. Am J Respir Crit Care Med. 2010;182(1):73–82. doi: 10.1164/rccm.200905-0674OC. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 211.Sisson TH, Maher TM, Ajayi IO, King JE, Higgins PD, Booth AJ, Sagana RL, Huang SK, White ES, Moore BB, Horowitz JC. Increased survivin expression contributes to apoptosis-resistance in IPF fibroblasts. Adv Biosci Biotechnol. 2012;3(6A):657–664. doi: 10.4236/abb.2012.326085. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 212.Chang W, Wei K, Jacobs SS, Upadhyay D, Weill D, Rosen GD. SPARC suppresses apoptosis of idiopathic pulmonary fibrosis fibroblasts through constitutive activation of beta-catenin. J Biol Chem. 2010;285(11):8196–206. doi: 10.1074/jbc.M109.025684. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 213.Kheradmand F, Shan M, Xu C, Corry DB. Autoimmunity in chronic obstructive pulmonary disease: clinical and experimental evidence. Expert Rev Clin Immunol. 2012;8(3):285–92. doi: 10.1586/eci.12.7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 214.Cosio MG, Saetta M, Agusti A. Immunologic aspects of chronic obstructive pulmonary disease. N Engl J Med. 2009;360(23):2445–54. doi: 10.1056/NEJMra0804752. [DOI] [PubMed] [Google Scholar]
- 215.Kheradmand F, Shan M, Corry DB. Smoking gun: mature dendritic cells in human lung provide clues to chronic obstructive pulmonary disease. Am J Respir Crit Care Med. 2009;180(12):1166–7. doi: 10.1164/rccm.200909-1391ED. [DOI] [PubMed] [Google Scholar]
- 216.Shan M, Cheng HF, Song LZ, Roberts L, Green L, Hacken-Bitar J, Huh J, Bakaeen F, Coxson HO, Storness-Bliss C, Ramchandani M, Lee SH, Corry DB, Kheradmand F. Lung myeloid dendritic cells coordinately induce TH1 and TH17 responses in human emphysema. Science translational medicine. 2009;1(4):4ra10. doi: 10.1126/scitranlsmed.3000154. [DOI] [PubMed] [Google Scholar]
- 217.GeurtsvanKessel CH, Lambrecht BN. Division of labor between dendritic cell subsets of the lung. Mucosal Immunol. 2008;1(6):442–50. doi: 10.1038/mi.2008.39. [DOI] [PubMed] [Google Scholar]
- 218.Midwood K, Sacre S, Piccinini AM, Inglis J, Trebaul A, Chan E, Drexler S, Sofat N, Kashiwagi M, Orend G, Brennan F, Foxwell B. Tenascin-C is an endogenous activator of Toll-like receptor 4 that is essential for maintaining inflammation in arthritic joint disease. Nat Med. 2009;15(7):774–80. doi: 10.1038/nm.1987. [DOI] [PubMed] [Google Scholar]
- 219.Schaefer L, Babelova A, Kiss E, Hausser HJ, Baliova M, Krzyzankova M, Marsche G, Young MF, Mihalik D, Gotte M, Malle E, Schaefer RM, Grone HJ. The matrix component biglycan is proinflammatory and signals through Toll-like receptors 4 and 2 in macrophages. J Clin Invest. 2005;115(8):2223–33. doi: 10.1172/JCI23755. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 220.Piccinini AM, Midwood KS. DAMPening inflammation by modulating TLR signalling. Mediators of inflammation. 2010;2010 doi: 10.1155/2010/672395. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 221.Houghton AM, Quintero PA, Perkins DL, Kobayashi DK, Kelley DG, Marconcini LA, Mecham RP, Senior RM, Shapiro SD. Elastin fragments drive disease progression in a murine model of emphysema. J Clin Invest. 2006;116(3):753–9. doi: 10.1172/JCI25617. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 222.Xu C, Hesselbacher S, Tsai CL, Shan M, Spitz M, Scheurer M, Roberts L, Perusich S, Zarinkamar N, Coxson H, Krowchuk N, Corry DB, Kheradmand F. Autoreactive T Cells in Human Smokers is Predictive of Clinical Outcome. Front Immunol. 2012;3:267. doi: 10.3389/fimmu.2012.00267. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 223.Weathington NM, van Houwelingen AH, Noerager BD, Jackson PL, Kraneveld AD, Galin FS, Folkerts G, Nijkamp FP, Blalock JE. A novel peptide CXCR ligand derived from extracellular matrix degradation during airway inflammation. Nat Med. 2006;12(3):317–23. doi: 10.1038/nm1361. [DOI] [PubMed] [Google Scholar]
- 224.Gaggar A, Jackson PL, Noerager BD, O’Reilly PJ, McQuaid DB, Rowe SM, Clancy JP, Blalock JE. A novel proteolytic cascade generates an extracellular matrix-derived chemoattractant in chronic neutrophilic inflammation. J Immunol. 2008;180(8):5662–9. doi: 10.4049/jimmunol.180.8.5662. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 225.Snelgrove RJ, Jackson PL, Hardison MT, Noerager BD, Kinloch A, Gaggar A, Shastry S, Rowe SM, Shim YM, Hussell T, Blalock JE. A critical role for LTA4H in limiting chronic pulmonary neutrophilic inflammation. Science. 2010;330(6000):90–4. doi: 10.1126/science.1190594. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 226.Parks WC, Wilson CL, Lopez-Boado YS. Matrix metalloproteinases as modulators of inflammation and innate immunity. Nat Rev Immunol. 2004;4(8):617–29. doi: 10.1038/nri1418. [DOI] [PubMed] [Google Scholar]
- 227.Manicone AM, Birkland TP, Lin M, Betsuyaku T, van Rooijen N, Lohi J, Keski-Oja J, Wang Y, Skerrett SJ, Parks WC. Epilysin (MMP-28) restrains early macrophage recruitment in Pseudomonas aeruginosa pneumonia. J Immunol. 2009;182(6):3866–76. doi: 10.4049/jimmunol.0713949. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 228.Hautamaki RD, Kobayashi DK, Senior RM, Shapiro SD. Requirement for macrophage elastase for cigarette smoke-induced emphysema in mice. Science. 1997;277(5334):2002–4. doi: 10.1126/science.277.5334.2002. [DOI] [PubMed] [Google Scholar]
- 229.Gill SE, Gharib SA, Bench EM, Sussman SW, Wang RT, Rims C, Birkland TP, Wang Y, Manicone AM, McGuire JK, Parks WC. Tissue inhibitor of metalloproteinases-3 moderates the proinflammatory status of macrophages. Am J Respir Cell Mol Biol. 2013;49(5):768–77. doi: 10.1165/rcmb.2012-0377OC. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 230.Gharib SA, Johnston LK, Huizar I, Birkland TP, Hanson J, Wang Y, Parks WC, Manicone AM. MMP28 promotes macrophage polarization toward M2 cells and augments pulmonary fibrosis. J Leukoc Biol. 2014;95(1):9–18. doi: 10.1189/jlb.1112587. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 231.Li Q, Park PW, Wilson CL, Parks WC. Matrilysin shedding of syndecan-1 regulates chemokine mobilization and transepithelial efflux of neutrophils in acute lung injury. Cell. 2002;111(5):635–46. doi: 10.1016/s0092-8674(02)01079-6. [DOI] [PubMed] [Google Scholar]
- 232.Corry DB, Rishi K, Kanellis J, Kiss A, Song Lz LZ, Xu J, Feng L, Werb Z, Kheradmand F. Decreased allergic lung inflammatory cell egression and increased susceptibility to asphyxiation in MMP2-deficiency. Nat Immunol. 2002;3(4):347–53. doi: 10.1038/ni773. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 233.Greenlee KJ, Corry DB, Engler DA, Matsunami RK, Tessier P, Cook RG, Werb Z, Kheradmand F. Proteomic identification of in vivo substrates for matrix metalloproteinases 2 and 9 reveals a mechanism for resolution of inflammation. J Immunol. 2006;177(10):7312–21. doi: 10.4049/jimmunol.177.10.7312. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 234.Hogan BL, Barkauskas CE, Chapman HA, Epstein JA, Jain R, Hsia CC, Niklason L, Calle E, Le A, Randell SH, Rock J, Snitow M, Krummel M, Stripp BR, Vu T, White ES, Whitsett JA, Morrisey EE. Repair and regeneration of the respiratory system: complexity, plasticity, and mechanisms of lung stem cell function. Cell stem cell. 2014;15(2):123–38. doi: 10.1016/j.stem.2014.07.012. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 235.Donne ML, Lechner AJ, Rock JR. Evidence for lung epithelial stem cell niches. BMC Dev Biol. 2015;15:32. doi: 10.1186/s12861-015-0082-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 236.Lane SW, Williams DA, Watt FM. Modulating the stem cell niche for tissue regeneration. Nat Biotechnol. 2014;32(8):795–803. doi: 10.1038/nbt.2978. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 237.Tandon N, Marolt D, Cimetta E, Vunjak-Novakovic G. Bioreactor engineering of stem cell environments. Biotechnol Adv. 2013;31(7):1020–31. doi: 10.1016/j.biotechadv.2013.03.007. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 238.Biasco L, Pellin D, Scala S, Dionisio F, Basso-Ricci L, Leonardelli L, Scaramuzza S, Baricordi C, Ferrua F, Cicalese MP, Giannelli S, Neduva V, Dow DJ, Schmidt M, Von Kalle C, Roncarolo MG, Ciceri F, Vicard P, Wit E, Di Serio C, Naldini L, Aiuti A. In Vivo Tracking of Human Hematopoiesis Reveals Patterns of Clonal Dynamics during Early and Steady-State Reconstitution Phases. Cell stem cell. 2016;19(1):107–19. doi: 10.1016/j.stem.2016.04.016. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 239.Ahluwalia N, Shea BS, Tager AM. New therapeutic targets in idiopathic pulmonary fibrosis. Aiming to rein in runaway wound-healing responses. Am J Respir Crit Care Med. 2014;190(8):867–78. doi: 10.1164/rccm.201403-0509PP. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 240.Olsen KC, Epa AP, Kulkarni AA, Kottmann RM, McCarthy CE, Johnson GV, Thatcher TH, Phipps RP, Sime PJ. Inhibition of transglutaminase 2, a novel target for pulmonary fibrosis, by two small electrophilic molecules. Am J Respir Cell Mol Biol. 2014;50(4):737–47. doi: 10.1165/rcmb.2013-0092OC. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 241.Barry-Hamilton V, Spangler R, Marshall D, McCauley S, Rodriguez HM, Oyasu M, Mikels A, Vaysberg M, Ghermazien H, Wai C, Garcia CA, Velayo AC, Jorgensen B, Biermann D, Tsai D, Green J, Zaffryar-Eilot S, Holzer A, Ogg S, Thai D, Neufeld G, Van Vlasselaer P, Smith V. Allosteric inhibition of lysyl oxidase-like-2 impedes the development of a pathologic microenvironment. Nat Med. 2010;16(9):1009–17. doi: 10.1038/nm.2208. [DOI] [PubMed] [Google Scholar]
- 242.Craig VJ, Quintero PA, Fyfe SE, Patel AS, Knolle MD, Kobzik L, Owen CA. Profibrotic activities for matrix metalloproteinase-8 during bleomycin-mediated lung injury. J Immunol. 2013;190(8):4283–96. doi: 10.4049/jimmunol.1201043. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 243.Montgomery RL, Yu G, Latimer PA, Stack C, Robinson K, Dalby CM, Kaminski N, van Rooij E. MicroRNA mimicry blocks pulmonary fibrosis. EMBO molecular medicine. 2014;6(10):1347–56. doi: 10.15252/emmm.201303604. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 244.Grove LM, Southern BD, Jin TH, White KE, Paruchuri S, Harel E, Wei Y, Rahaman SO, Gladson CL, Ding Q, Craik CS, Chapman HA, Olman MA. Urokinase-type plasminogen activator receptor (uPAR) ligation induces a raft-localized integrin signaling switch that mediates the hypermotile phenotype of fibrotic fibroblasts. J Biol Chem. 2014;289(18):12791–804. doi: 10.1074/jbc.M113.498576. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 245.Henderson NC, Arnold TD, Katamura Y, Giacomini MM, Rodriguez JD, McCarty JH, Pellicoro A, Raschperger E, Betsholtz C, Ruminski PG, Griggs DW, Prinsen MJ, Maher JJ, Iredale JP, Lacy-Hulbert A, Adams RH, Sheppard D. Targeting of alphav integrin identifies a core molecular pathway that regulates fibrosis in several organs. Nat Med. 2013;19(12):1617–24. doi: 10.1038/nm.3282. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 246.Lagares D, Kapoor M. Targeting focal adhesion kinase in fibrotic diseases. BioDrugs. 2013;27(1):15–23. doi: 10.1007/s40259-012-0003-4. [DOI] [PubMed] [Google Scholar]
- 247.Patsenker E, Popov Y, Stickel F, Schneider V, Ledermann M, Sagesser H, Niedobitek G, Goodman SL, Schuppan D. Pharmacological inhibition of integrin alphavbeta3 aggravates experimental liver fibrosis and suppresses hepatic angiogenesis. Hepatology. 2009;50(5):1501–11. doi: 10.1002/hep.23144. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 248.Rouviere O, Yin M, Dresner MA, Rossman PJ, Burgart LJ, Fidler JL, Ehman RL. MR elastography of the liver: preliminary results. Radiology. 2006;240(2):440–8. doi: 10.1148/radiol.2402050606. [DOI] [PubMed] [Google Scholar]
- 249.Foucher J, Chanteloup E, Vergniol J, Castera L, Le Bail B, Adhoute X, Bertet J, Couzigou P, de Ledinghen V. Diagnosis of cirrhosis by transient elastography (FibroScan): a prospective study. Gut. 2006;55(3):403–8. doi: 10.1136/gut.2005.069153. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 250.Rubin JM, Horowitz JC, Sisson TH, Kim K, Ortiz LA, Hamilton JD. Ultrasound Strain Measurements for Evaluating Local Pulmonary Ventilation. Ultrasound Med Biol. 2016;42(11):2525–2531. doi: 10.1016/j.ultrasmedbio.2016.05.020. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 251.Fessler JA. Model-Based Image Reconstruction for Mri. IEEE signal processing magazine. 2010;27(4):81–89. doi: 10.1109/MSP.2010.936726. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 252.Tayler AB, Holland DJ, Sederman AJ, Gladden LF. Exploring the origins of turbulence in multiphase flow using compressed sensing MRI. Phys Rev Lett. 2012;108(26):264505. doi: 10.1103/PhysRevLett.108.264505. [DOI] [PubMed] [Google Scholar]
- 253.Zhou Y, Chen H, Ambalavanan N, Liu G, Antony VB, Ding Q, Nath H, Eary JF, Thannickal VJ. Noninvasive imaging of experimental lung fibrosis. Am J Respir Cell Mol Biol. 2015;53(1):8–13. doi: 10.1165/rcmb.2015-0032TR. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 254.Vasilescu DM, Klinge C, Knudsen L, Yin L, Wang G, Weibel ER, Ochs M, Hoffman EA. Stereological assessment of mouse lung parenchyma via nondestructive, multiscale micro-CT imaging validated by light microscopic histology. Journal of applied physiology. 2013;114(6):716–24. doi: 10.1152/japplphysiol.00855.2012. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 255.Glenny RW. Determinants of regional ventilation and blood flow in the lung. Intensive care medicine. 2009;35(11):1833–42. doi: 10.1007/s00134-009-1649-3. [DOI] [PubMed] [Google Scholar]
- 256.Robertson HT, Krueger MA, Lamm WJ, Glenny RW. High-resolution spatial measurements of ventilation-perfusion heterogeneity in rats. Journal of applied physiology. 2010;108(5):1395–401. doi: 10.1152/japplphysiol.01161.2009. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 257.Bower DV, Sato Y, Lansford R. Dynamic lineage analysis of embryonic morphogenesis using transgenic quail and 4D multispectral imaging. Genesis. 2011;49(7):619–43. doi: 10.1002/dvg.20754. [DOI] [PubMed] [Google Scholar]
- 258.Choi HM, Chang JY, Trinh le A, Padilla JE, Fraser SE, Pierce NA. Programmable in situ amplification for multiplexed imaging of mRNA expression. Nat Biotechnol. 2010;28(11):1208–12. doi: 10.1038/nbt.1692. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 259.Busch R, Kim YK, Neese RA, Schade-Serin V, Collins M, Awada M, Gardner JL, Beysen C, Marino ME, Misell LM, Hellerstein MK. Measurement of protein turnover rates by heavy water labeling of nonessential amino acids. Biochim Biophys Acta. 2006;1760(5):730–44. doi: 10.1016/j.bbagen.2005.12.023. [DOI] [PubMed] [Google Scholar]
- 260.Jenkins RG, Simpson JK, Saini G, Bentley JH, Russell AM, Braybrooke R, Molyneaux PL, McKeever TM, Wells AU, Flynn A, Hubbard RB, Leeming DJ, Marshall RP, Karsdal MA, Lukey PT, Maher TM. Longitudinal change in collagen degradation biomarkers in idiopathic pulmonary fibrosis: an analysis from the prospective, multicentre PROFILE study. Lancet Respir Med. 2015;3(6):462–72. doi: 10.1016/S2213-2600(15)00048-X. [DOI] [PubMed] [Google Scholar]
- 261.Crapo PM, Gilbert TW, Badylak SF. An overview of tissue and whole organ decellularization processes. Biomaterials. 2011;32(12):3233–43. doi: 10.1016/j.biomaterials.2011.01.057. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 262.O’Neill JD, Anfang R, Anandappa A, Costa J, Javidfar J, Wobma HM, Singh G, Freytes DO, Bacchetta MD, Sonett JR, Vunjak-Novakovic G. Decellularization of human and porcine lung tissues for pulmonary tissue engineering. Ann Thorac Surg. 2013;96(3):1046–55. doi: 10.1016/j.athoracsur.2013.04.022. discussion 1055-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 263.Wagner DE, Bonenfant NR, Parsons CS, Sokocevic D, Brooks EM, Borg ZD, Lathrop MJ, Wallis JD, Daly AB, Lam YW, Deng B, DeSarno MJ, Ashikaga T, Loi R, Weiss DJ. Comparative decellularization and recellularization of normal versus emphysematous human lungs. Biomaterials. 2014;35(10):3281–97. doi: 10.1016/j.biomaterials.2013.12.103. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 264.Gilpin SE, Guyette JP, Gonzalez G, Ren X, Asara JM, Mathisen DJ, Vacanti JP, Ott HC. Perfusion decellularization of human and porcine lungs: bringing the matrix to clinical scale. J Heart Lung Transplant. 2014;33(3):298–308. doi: 10.1016/j.healun.2013.10.030. [DOI] [PubMed] [Google Scholar]
- 265.Nichols JE, Niles J, Riddle M, Vargas G, Schilagard T, Ma L, Edward K, La Francesca S, Sakamoto J, Vega S, Ogadegbe M, Mlcak R, Deyo D, Woodson L, McQuitty C, Lick S, Beckles D, Melo E, Cortiella J. Production and assessment of decellularized pig and human lung scaffolds. Tissue Eng Part A. 2013;19(17–18):2045–62. doi: 10.1089/ten.tea.2012.0250. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 266.Sokocevic D, Bonenfant NR, Wagner DE, Borg ZD, Lathrop MJ, Lam YW, Deng B, Desarno MJ, Ashikaga T, Loi R, Hoffman AM, Weiss DJ. The effect of age and emphysematous and fibrotic injury on the re-cellularization of de-cellularized lungs. Biomaterials. 2013;34(13):3256–69. doi: 10.1016/j.biomaterials.2013.01.028. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 267.Dunsmore SE, Rannels DE. Extracellular matrix biology in the lung. Am J Physiol. 1996;270(1 Pt 1):L3–27. doi: 10.1152/ajplung.1996.270.1.L3. [DOI] [PubMed] [Google Scholar]
- 268.Lotze MT, Zeh HJ, Rubartelli A, Sparvero LJ, Amoscato AA, Washburn NR, Devera ME, Liang X, Tor M, Billiar T. The grateful dead: damage-associated molecular pattern molecules and reduction/oxidation regulate immunity. Immunological reviews. 2007;220:60–81. doi: 10.1111/j.1600-065X.2007.00579.x. [DOI] [PubMed] [Google Scholar]
- 269.Lotze MT, Deisseroth A, Rubartelli A. Damage associated molecular pattern molecules. Clinical immunology. 2007;124(1):1–4. doi: 10.1016/j.clim.2007.02.006. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 270.Gilbert TW, Sellaro TL, Badylak SF. Decellularization of tissues and organs. Biomaterials. 2006;27(19):3675–83. doi: 10.1016/j.biomaterials.2006.02.014. [DOI] [PubMed] [Google Scholar]
- 271.Zheng MH, Chen J, Kirilak Y, Willers C, Xu J, Wood D. Porcine small intestine submucosa (SIS) is not an acellular collagenous matrix and contains porcine DNA: possible implications in human implantation. J Biomed Mater Res B Appl Biomater. 2005;73(1):61–7. doi: 10.1002/jbm.b.30170. [DOI] [PubMed] [Google Scholar]
- 272.Sicari BM, Zhang L, Londono R, Badylak SF. An assay to quantify chemotactic properties of degradation products from extracellular matrix. Methods Mol Biol. 2014;1202:103–10. doi: 10.1007/7651_2013_37. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 273.Keane TJ, Londono R, Turner NJ, Badylak SF. Consequences of ineffective decellularization of biologic scaffolds on the host response. Biomaterials. 2012;33(6):1771–81. doi: 10.1016/j.biomaterials.2011.10.054. [DOI] [PubMed] [Google Scholar]
- 274.Gilbert TW, Freund JM, Badylak SF. Quantification of DNA in biologic scaffold materials. J Surg Res. 2009;152(1):135–9. doi: 10.1016/j.jss.2008.02.013. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 275.Tsuchiya T, Balestrini JL, Mendez J, Calle EA, Zhao L, Niklason LE. Influence of pH on extracellular matrix preservation during lung decellularization, Tissue engineering. Part C. Methods. 2014;20(12):1028–36. doi: 10.1089/ten.tec.2013.0492. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 276.Calle EA, Ghaedi M, Sundaram S, Sivarapatna A, Tseng MK, Niklason LE. Strategies for whole lung tissue engineering. IEEE Trans Biomed Eng. 2014;61(5):1482–96. doi: 10.1109/TBME.2014.2314261. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 277.Wagner DE, Bonvillain RW, Jensen T, Girard ED, Bunnell BA, Finck CM, Hoffman AM, Weiss DJ. Can stem cells be used to generate new lungs? Ex vivo lung bioengineering with decellularized whole lung scaffolds. Respirology. 2013;18(6):895–911. doi: 10.1111/resp.12102. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 278.Bonvillain RW, Danchuk S, Sullivan DE, Betancourt AM, Semon JA, Eagle ME, Mayeux JP, Gregory AN, Wang G, Townley IK, Borg ZD, Weiss DJ, Bunnell BA. A nonhuman primate model of lung regeneration: detergent-mediated decellularization and initial in vitro recellularization with mesenchymal stem cells. Tissue Eng Part A. 2012;18(23–24):2437–52. doi: 10.1089/ten.tea.2011.0594. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 279.Calle EA, Petersen TH, Niklason LE. Procedure for lung engineering. Journal of visualized experiments : JoVE. 2011;(49) doi: 10.3791/2651. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 280.Petersen TH, Calle EA, Zhao L, Lee EJ, Gui L, Raredon MB, Gavrilov K, Yi T, Zhuang ZW, Breuer C, Herzog E, Niklason LE. Tissue-engineered lungs for in vivo implantation. Science. 2010;329(5991):538–41. doi: 10.1126/science.1189345. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 281.Price AP, England KA, Matson AM, Blazar BR, Panoskaltsis-Mortari A. Development of a decellularized lung bioreactor system for bioengineering the lung: the matrix reloaded. Tissue Eng Part A. 2010;16(8):2581–91. doi: 10.1089/ten.tea.2009.0659. [DOI] [PMC free article] [PubMed] [Google Scholar]





