Dendritic cell functional properties in a three-dimensional tissue model of human lung mucosa

In lung tissue, dendritic cells (DC) are found in close association with the epithelial cell layer, and there is evidence of DC regulation by the epithelium; that epithelial dysfunction leads to overzealous immune cell activation. However, dissecting basic mechanisms of DC interactions with epithelial cells in human tissue is difficult. Here, we describe a method to generate a three-dimensional organotypic model of the human airway mucosa in which we have implanted human DC. The model recapitulates key anatomical and functional features of lung mucosal tissue, including a stratified epithelial cell layer, deposition of extracellular matrix proteins, and the production of tight junction and adherence junction proteins. Labeling of fixed tissue model sections and imaging of live tissue models also revealed that DC distribute in close association with the epithelial layer. As functional properties of DC may be affected by the local tissue microenvironment, this system provides a tool to study human DC function associated with lung mucosal tissue. As an example, we report that the lung tissue model regulates the capacity of DC to produce the chemokines CCL17, CCL18, and CCL22, leading to enhanced CCL18 expression and reduced CCL17 and CCL22 expression. This novel tissue model thus provides a tool well suited for a wide range of studies, including those on the regulation of DC functional properties within the local tissue microenvironment during homeostasis and inflammatory reactions.     

Long-term immunologically competent human peripheral lymphoid tissue cultures in a 3D bioreactor

Peripheral lymphoid organs (PLOs), the primary sites of development of adaptive immune responses, display a complex structural organization reflecting separation of cellular subsets (e.g., T and B lymphocytes) and functional compartments which is critical for immune function. The generation of in vitro culture systems capable of recapitulating salient features of PLOs for experimental, biotechnological, and clinical applications would be highly desirable, but has been hampered so far by the complexity of these systems. We have previously developed a three-dimensional bioreactor system for long-term, functional culture of human bone marrow cells on macroporous microspheres in a packed-bed bioreactor with frequent medium change. Here we adapt the same system for culture of human primary cells from PLOs (tonsil) in the absence of specific exogenous growth factors or activators. Cells in this system displayed higher viability over several weeks, and maintain population diversity and cell surface markers largely comparable to primary cells. Light microscopy showed cells organizing in large diverse clusters within the scaffold pores and presence of B cell-enriched areas. Strikingly, these cultures generated a significant number of antibody-producing B cells when challenged with a panel of diverse antigens, as expected from a lymphoid tissue. Thus the three-dimensional tonsil bioreactor culture system may serve as a useful model of PLOs by recapitulating their structural organization and function ex vivo.     

Simulated microgravity culture system for a 3-D carcinoma tissue model

An in vitro organotypic culture model is needed to understand the complexities of carcinoma tissue consisting of carcinoma cells, stromal cells, and extracellular matrices. We developed a new in vitro model of carcinoma tissue using a rotary cell culture system with four disposable vessels (RCCS-4D) that provides a simulated microgravity condition. Solid collagen gels containing human pancreatic carcinoma NOR-P1 cells and fibroblasts or minced human pancreatic carcinoma tissue were cultured under a simulated microgravity condition or a static Ig condition for seven days. NOR-P1 cultures subjected to the simulated microgravity condition showed greater numbers of mitotic, cycling (Ki-67-positive), nuclear factor-kappa B-activating cells, and a lower number of apoptotic cells than were shown by cultures subjected to the static Ig condition. In addition, human pancreatic carcinoma specimens cultured under the simulated microgravity condition maintained the heterogeneous composition and cellular activity (determined by the cycling cell ratio and mitotic index) of the original carcinoma tissue better than static culture conditions. This new 3-D rotary cell culture system with four disposal vessels may be useful for in vitro studies of complex pancreatic carcinoma tissue.     

Construction of 3D human distal femoral surface models using a 3D statistical deformable model

Construction of 3D geometric surface models of human knee joint is always a challenge in biomedical engineering. This study introduced an improved statistical shape model (SSM) method that only uses 2D images of a joint to predict the 3D joint surface model. The SSM was constructed using 40 distal femur models of human knees. In this paper, a series validation and parametric analysis suggested that more than 25 distal femur models are needed to construct the SSM; each distal femur should be described using at least 3000 nodes in space; and two 2D fluoroscopic images taken in 45° directions should be used for the 3D surface shape prediction. Using this SSM method, ten independent distal femurs from 10 independent living subjects were predicted using their 2D plane fluoroscopic images. The predicted models were compared to their native 3D distal femur models constructed using their 3D MR images. The results demonstrated that using two fluoroscopic images of the knee, the overall difference between the predicted distal femur surface and the MR image-based surface was 0.16±1.16 mm. These data indicated that the SSM method could be a powerful method for construction of 3D surface geometries of the distal femur.     

A multiphysics 3D model of tissue growth under interstitial perfusion in a tissue-engineering bioreactor

The main challenge in engineered cartilage consists in understanding and controlling the growth process towards a functional tissue. Mathematical and computational modelling can help in the optimal design of the bioreactor configuration and in a quantitative understanding of important culture parameters. In this work, we present a multiphysics computational model for the prediction of cartilage tissue growth in an interstitial perfusion bioreactor. The model consists of two separate sub-models, one two-dimensional (2D) sub-model and one three-dimensional (3D) sub-model, which are coupled between each other. These sub-models account both for the hydrodynamic microenvironment imposed by the bioreactor, using a model based on the Navier–Stokes equation, the mass transport equation and the biomass growth. The biomass, assumed as a phase comprising cells and the synthesised extracellular matrix, has been modelled by using a moving boundary approach. In particular, the boundary at the fluid–biomass interface is moving with a velocity depending from the local oxygen concentration and viscous stress. In this work, we show that all parameters predicted, such as oxygen concentration and wall shear stress, by the 2D sub-model with respect to the ones predicted by the 3D sub-model are systematically overestimated and thus the tissue growth, which directly depends on these parameters. This implies that further predictive models for tissue growth should take into account of the three dimensionality of the problem for any scaffold microarchitecture.     

Ethical tissue: a not-for-profit model for human tissue supply

Following legislative changes in 2004 and the establishment of the Human Tissue Authority, access to human tissues for biomedical research became a more onerous and tightly regulated process. Ethical Tissue was established to meet the growing demand for human tissues, using a process that provided ease of access by researchers whilst maintaining the highest ethical and regulatory standards. The establishment of a licensed research tissue bank entailed several key criteria covering ethical, legal, financial and logistical issues being met. A wide range of stakeholders, including the HTA, University of Bradford, flagged LREC, hospital trusts and clinical groups were also integral to the process.     

The effect of short-term, high glucose concentration on endothelial cells and leukocytes in a 3D in vitro human vascular tissue model

Efforts to determine a link between diabetes and atherosclerosis have involved examining the effect of high glucose levels on the adhesion and migration of circulating leukocytes, mostly monocytes and T lymphocytes. Leukocyte differentiation and proliferation within the subendothelial space can also be investigated by the use of a 3D in vitro human vascular tissue model. This model was used to study the effect of short-term, high glucose concentration on certain cell behavior associated with the early stages of atherosclerosis. Samples were exposed to either a 30- or 5.6-mM glucose concentration for 9 h to represent either hyperglycemic or normoglycemic conditions, respectively. There was a significant increase in vascular cell adhesion molecule-1 expression on the endothelial cells exposed to a 30-mM compared to a 5.6-mM glucose concentration. There was no significant difference in either intercellular adhesion molecule-1 or E-selectin expression on the endothelial cells exposed to a 30-mM compared to a 5.6-mM glucose concentration. After the endothelium was exposed to 30 mM glucose concentration, there was a 70% increase in the number of monocytes (CD14⁺) migrating across the endothelium and a 28% increase in the number of these monocytes differentiating into macrophages, compared to cell migration and differentiation across the endothelium exposed to 5.6 mM glucose concentration. Also, for the endothelium exposed to 30 mM glucose concentration, there were nearly 2.5 times more T lymphocytes that migrated across the endothelium, along with significant cell proliferation, compared to cell migration across the endothelium exposed to 5.6 mM glucose concentration.     

Force heterogeneity in a two-dimensional network model of lung tissue elasticity

We have developed a model of forces developed inlung tissue in which the stress-bearing units are heterogeneous. Eachelement of the fiber network is composed of an idealized elastin andcollagen element in parallel. Elastin is represented by linear springs and collagen by stiff strings that extend without resistance until taut. The model can quantitatively account for the nonlinear shape ofthe length-tension curve of lung tissue strips when the knee lengths ofthe collagen fibers are distributed according to an inverse power law.The novel feature of this model is that as macroscopic strain increasesthe load is carried by progressively fewer elements with progressivelyhigher forces, and preferential pathways of force transmission emergewithin the matrix. The topology of these self-organizing pathways offorce transmission takes the rough appearance of cracks, but, unlikereal cracks, they represent the locus of force concentration ratherthan force release.

     

When is pneumonia not pneumonia: a clinicopathologic study of the utility of lung tissue biopsies in determining the suitability of cadaveric tissue for donation

Healthcare-associated pneumonia (HCAP) represents a major diagnostic challenge because of the relatively low sensitivity and specificity of clinical criteria, radiological findings, and microbiologic culture results. It is often difficult to distinguish between pneumonia, underlying pulmonary disease, or conditions with pulmonary complications; this is compounded by the often-subjective clinical diagnosis of pneumonia. We conducted this study to determine the utility of post-mortem lung biopsies for diagnosing pneumonia in tissue donors diagnosed with pneumonia prior to death. Subjects were deceased patients who had been hospitalized at death and diagnosed with pneumonia. Post-mortem lung biopsies were obtained from the anatomic portion of the cadaveric lung corresponding to chest radiograph abnormalities. Specimens were fixed, stained with hematoxylin and eosin, and read by a single board-certified pathologist. Histological criteria for acute pneumonia included intense neutrophilic infiltration, fibrinous exudates, cellular debris, necrosis, or bacteria in the interstitium and intra-alveolar spaces. Of 143 subjects with a diagnosis of pneumonia at time of death, 14 (9.8 %) had histological evidence consistent with acute pneumonia. The most common histological diagnoses were emphysema (53 %), interstitial fibrosis (40 %), chronic atelectasis (36 %), acute and chronic passive congestion consistent with underlying cardiomyopathy (25 %), fibro-bullous disease (12 %), and acute bronchitis (11 %). HCAP represents a major diagnostic challenge because of the relatively low sensitivity and specificity of clinical criteria, radiological findings, and microbiologic testing. We found that attending physician-diagnosed pneumonia did not correlate with post-mortem pathological diagnosis. We conclude that histological examination of cadaveric lung tissue biopsies enables ascertainment or rule out of underlying pneumonia and prevents erroneous donor deferrals.     

The human fibrinolytic system is a target for the staphylococcal metalloprotease aureolysin

The major opportunistic pathogen Staphylococcus aureus utilizes the human fibrinolytic system for invasion and spread via plasmin(ogen) binding and non-proteolytic activation. Because S. aureus secretes several proteases recently proposed as virulence factors, we explored whether these enzymes could add to the activation of the host's fibrinolytic system. Exposure of human pro-urokinase [pro-uPA (where uPA is urokinase-type plasminogen activator)] to conditioned growth media from staphylococcal reference strains results in an EDTA-sensitive conversion of the single-chain zymogen into its two-chain active form, an activity not observed in an aureolysin-deficient strain. Using purified aureolysin, we verified the capacity of this thermolysin-like metalloprotease to activate pro-uPA, with a 2.6 x 10(3) M(-1) x s(-1) catalytic efficiency. Moreover, activation also occurs in the presence of human plasma, as well as in conditioned growth media from clinical isolates. Finally, we establish that aureolysin (i) converts plasminogen into angiostatin and mini-plasminogen, the latter retaining its capacity to be activated by uPA and to hydrolyse fibrin, (ii) degrades the plasminogen activator inhibitor-1, and (iii) abrogates the inhibitory activity of alpha(2)-antiplasmin. Altogether, we propose that, in parallel with the staphylokinase-dependent activation of plasminogen, aureolysin may contribute significantly to the activation of the fibrinolytic system by S. aureus, and thus may promote bacterial spread and invasion.     

Physiological 3D tissue model of the airway wall and mucosa

This protocol describes the setup, maintenance and characteristics of a tissue-engineered model of the human bronchial mucosa that can be used for basic physiology and pathophysiology studies. The model includes a well-differentiated epithelium with functional cilia, mucus secretion and subepithelial fibroblasts within type I collagen. The tissue is created within porous polymeric wells to prevent gel contraction and allow culture at the air-liquid interface. It requires at least 2 wk to be established and can be maintained thereafter for over 4 wk, with tissue differentiation moving towards a more physiologically relevant phenotype with increasing time in culture. Over time, the extracellular matrix also remodels, depositing proteins such as types III and IV collagen and fibronectin. Because it recapitulates many key anatomical and functional features of the airway wall, this model is well suited for a wide range of studies, including those on airway remodeling, transepithelial transport and inflammatory cell interactions with the mucosa. The entire protocol takes 4-6 wk, including cell expansion, depending on the extent of ciliogenesis desired.     

A mathematical model for fluid shear-sensitive 3D tissue construct development

This research studies dynamic culture for 3D tissue construct development with computational fluid dynamics. It proposes a mathematical model to evaluate the impact of flow rates and flow shear stress on cell growth in 3D constructs under perfusion. The modeling results show that dynamic flow, even at flow rate as low as 0.002 cm/s, can support much better mass exchange, higher cell number, and more even cell and nutrient distribution compared to static culture. Higher flow rate can further improve nutrient supply and mass exchange in the construct, promoting better nutritious environment and cell proliferation compared to lower flow rate. In addition, consideration of flow shear stress predicts much higher cell number in the construct compared to that without shear consideration. While the nutrient can dominate shear stress in influencing cell proliferation, the shear effect increases with flow rate. The proposed model helps tissue engineers better understand the cell-flow relationship at the molecular level during dynamic culture.     

3D active workspace of human hand anatomical model

Background  

If the model of the human hand is created with accuracy by respecting the type of motion provided by each articulation and the dimensions of articulated bones, it can function as the real organ providing the same motions. Unfortunately, the human hand is hard to model due to its kinematical chains submitted to motion constraints. On the other hand, if an application does not impose a fine manipulation it is not necessary to create a model as complex as the human hand is. But always the hand model has to perform a certain space of motions in imposed workspace architecture no matter what the practical application does.     

Localization and activity of iNOS in normal human lung tissue and lung cancer tissue

Inducible nitric oxide synthase (iNOS) is one of three enzymes generating nitric oxide (NO) from the amino acid L-arginine. iNOS-derived NO plays an important role in several physiological and pathophysiological conditions. NO is a free radical which produces many reactive intermediates that account for its bioactivity. In the human lung, the alveolar macrophage is an important producer of cytokines and this production may be modified by NO. Moreover, high concentrations of NO have been shown to increase nuclear factor kappaB (NF-kB) activation. Recent investigations of NO expression in tumor tissue indicated that, at least for certain tumors, NO may mediate one or more roles during the growth of human cancer. We have studied iNOS in two tissue groups: normal human lung tissue and human lung cancer tissue. We localized iNOS in these tissues by immunohistochemistry and tested the mRNA expression by RT-PCR, the protein level by Western blot, and the protein activity by radiometric analysis. The results demonstrate different expression, localization and activity of iNOS in normal versus tumor tissue. This is suggestive of a role for NO production from iNOS in human lung cancer because high concentrations of this short molecule may transform to highly reactive compounds such as peroxynitrite (ONOO-); moreover, through the upregulator NF-kB, they can induce a chronic inflammatory state representing an elevated risk for cell transformation to cancer.     

Host lung gene expression patterns predict infectious etiology in a mouse model of pneumonia

Background

Lower respiratory tract infections continue to exact unacceptable worldwide mortality, often because the infecting pathogen cannot be identified. The respiratory epithelia provide protection from pneumonias through organism-specific generation of antimicrobial products, offering potential insight into the identity of infecting pathogens. This study assesses the capacity of the host gene expression response to infection to predict the presence and identity of lower respiratory pathogens without reliance on culture data.

Methods

Mice were inhalationally challenged with S. pneumoniae, P. aeruginosa, A. fumigatus or saline prior to whole genome gene expression microarray analysis of their pulmonary parenchyma. Characteristic gene expression patterns for each condition were identified, allowing the derivation of prediction rules for each pathogen. After confirming the predictive capacity of gene expression data in blinded challenges, a computerized algorithm was devised to predict the infectious conditions of subsequent subjects.

Results

We observed robust, pathogen-specific gene expression patterns as early as 2 h after infection. Use of an algorithmic decision tree revealed 94.4% diagnostic accuracy when discerning the presence of bacterial infection. The model subsequently differentiated between bacterial pathogens with 71.4% accuracy and between non-bacterial conditions with 70.0% accuracy, both far exceeding the expected diagnostic yield of standard culture-based bronchoscopy with bronchoalveolar lavage.

Conclusions

These data substantiate the specificity of the pulmonary innate immune response and support the feasibility of a gene expression-based clinical tool for pneumonia diagnosis.     

Homogenization of heterogeneous brain tissue under quasi-static loading: a visco-hyperelastic model of a 3D RVE

Biomechanics and Modeling in Mechanobiology - Researches, in the recent years, reveal the utmost importance of brain tissue assessment regarding its mechanical properties, especially for automatic...