The role of adenosine in pulmonary angiogenesis

Angiogenesis is a feature of chronic lung diseases such as asthma and pulmonary fibrosis; however, the pathways controlling pathological angiogenesis during lung disease are not completely understood. Adenosine is a signaling nucleoside that accumulates as a result of tissue hypoxia and damage. Adenosine has been implicated in the exacerbation of chronic lung disease and in the regulation of angiogenesis; however, the relationship between these factors has not been investigated. The work presented in this dissertation utilized adenosine deaminase (ADA)-deficient mice to determine whether chronic elevations of adenosine in vivo result in pulmonary angiogenesis, and to identify factors that could potentially mediate this process. Results demonstrate that there is substantial angiogenesis in the tracheas of ADA-deficient mice in association with adenosine elevations. Replacement enzyme therapy with pegylated ADA resulted in a lowering of adenosine levels and reversal of tracheal angiogenesis, indicating that the increases in vessel number are dependent on adenosine elevations. Levels of the ELR+ angiogenic chemokine CXCL1 were found to be elevated in an adenosine-dependent manner in the lungs of ADA-deficient mice. Neutralization of CXCL1 and its putative receptor, CXCR2, in ADA-deficient lung lysates resulted in the inhibition of angiogenic activity suggesting that CXCL1 signaling through the CXCR2 receptor is responsible for mediating the observed increases in angiogenesis. Taken together, these findings suggest that adenosine plays an important role, via CXCL1, in the induction of pulmonary angiogenesis and may therefore represent an important therapeutic target for the treatment of pathological angiogenesis. ^

Pulmonary Artery-Vein Segmentation in Real and Synthetic CT Images = Segmentación Arteria-Vena Pulmonares en Imágenes de CT Reales y Sintéticas

La tomografía axial computerizada (TAC) es la modalidad de imagen médica preferente para el estudio de enfermedades pulmonares y el análisis de su vasculatura. La segmentación general de vasos en pulmón ha sido abordada en profundidad a lo largo de los últimos años por la comunidad científica que trabaja en el campo de procesamiento de imagen; sin embargo, la diferenciación entre irrigaciones arterial y venosa es aún un problema abierto. De hecho, la separación automática de arterias y venas está considerado como uno de los grandes retos futuros del procesamiento de imágenes biomédicas. La segmentación arteria-vena (AV) permitiría el estudio de ambas irrigaciones por separado, lo cual tendría importantes consecuencias en diferentes escenarios médicos y múltiples enfermedades pulmonares o estados patológicos. Características como la densidad, geometría, topología y tamaño de los vasos sanguíneos podrían ser analizados en enfermedades que conllevan remodelación de la vasculatura pulmonar, haciendo incluso posible el descubrimiento de nuevos biomarcadores específicos que aún hoy en dípermanecen ocultos. Esta diferenciación entre arterias y venas también podría ayudar a la mejora y el desarrollo de métodos de procesamiento de las distintas estructuras pulmonares. Sin embargo, el estudio del efecto de las enfermedades en los árboles arterial y venoso ha sido inviable hasta ahora a pesar de su indudable utilidad. La extrema complejidad de los árboles vasculares del pulmón hace inabordable una separación manual de ambas estructuras en un tiempo realista, fomentando aún más la necesidad de diseñar herramientas automáticas o semiautomáticas para tal objetivo. Pero la ausencia de casos correctamente segmentados y etiquetados conlleva múltiples limitaciones en el desarrollo de sistemas de separación AV, en los cuales son necesarias imágenes de referencia tanto para entrenar como para validar los algoritmos. Por ello, el diseño de imágenes sintéticas de TAC pulmonar podría superar estas dificultades ofreciendo la posibilidad de acceso a una base de datos de casos pseudoreales bajo un entorno restringido y controlado donde cada parte de la imagen (incluyendo arterias y venas) está unívocamente diferenciada. En esta Tesis Doctoral abordamos ambos problemas, los cuales están fuertemente interrelacionados. Primero se describe el diseño de una estrategia para generar, automáticamente, fantomas computacionales de TAC de pulmón en humanos. Partiendo de conocimientos a priori, tanto biológicos como de características de imagen de CT, acerca de la topología y relación entre las distintas estructuras pulmonares, el sistema desarrollado es capaz de generar vías aéreas, arterias y venas pulmonares sintéticas usando métodos de crecimiento iterativo, que posteriormente se unen para formar un pulmón simulado con características realistas. Estos casos sintéticos, junto a imágenes reales de TAC sin contraste, han sido usados en el desarrollo de un método completamente automático de segmentación/separación AV. La estrategia comprende una primera extracción genérica de vasos pulmonares usando partículas espacio-escala, y una posterior clasificación AV de tales partículas mediante el uso de Graph-Cuts (GC) basados en la similitud con arteria o vena (obtenida con algoritmos de aprendizaje automático) y la inclusión de información de conectividad entre partículas. La validación de los fantomas pulmonares se ha llevado a cabo mediante inspección visual y medidas cuantitativas relacionadas con las distribuciones de intensidad, dispersión de estructuras y relación entre arterias y vías aéreas, los cuales muestran una buena correspondencia entre los pulmones reales y los generados sintéticamente. La evaluación del algoritmo de segmentación AV está basada en distintas estrategias de comprobación de la exactitud en la clasificación de vasos, las cuales revelan una adecuada diferenciación entre arterias y venas tanto en los casos reales como en los sintéticos, abriendo así un amplio abanico de posibilidades en el estudio clínico de enfermedades cardiopulmonares y en el desarrollo de metodologías y nuevos algoritmos para el análisis de imágenes pulmonares. ABSTRACT Computed tomography (CT) is the reference image modality for the study of lung diseases and pulmonary vasculature. Lung vessel segmentation has been widely explored by the biomedical image processing community, however, differentiation of arterial from venous irrigations is still an open problem. Indeed, automatic separation of arterial and venous trees has been considered during last years as one of the main future challenges in the field. Artery-Vein (AV) segmentation would be useful in different medical scenarios and multiple pulmonary diseases or pathological states, allowing the study of arterial and venous irrigations separately. Features such as density, geometry, topology and size of vessels could be analyzed in diseases that imply vasculature remodeling, making even possible the discovery of new specific biomarkers that remain hidden nowadays. Differentiation between arteries and veins could also enhance or improve methods processing pulmonary structures. Nevertheless, AV segmentation has been unfeasible until now in clinical routine despite its objective usefulness. The huge complexity of pulmonary vascular trees makes a manual segmentation of both structures unfeasible in realistic time, encouraging the design of automatic or semiautomatic tools to perform the task. However, this lack of proper labeled cases seriously limits in the development of AV segmentation systems, where reference standards are necessary in both algorithm training and validation stages. For that reason, the design of synthetic CT images of the lung could overcome these difficulties by providing a database of pseudorealistic cases in a constrained and controlled scenario where each part of the image (including arteries and veins) is differentiated unequivocally. In this Ph.D. Thesis we address both interrelated problems. First, the design of a complete framework to automatically generate computational CT phantoms of the human lung is described. Starting from biological and imagebased knowledge about the topology and relationships between structures, the system is able to generate synthetic pulmonary arteries, veins, and airways using iterative growth methods that can be merged into a final simulated lung with realistic features. These synthetic cases, together with labeled real CT datasets, have been used as reference for the development of a fully automatic pulmonary AV segmentation/separation method. The approach comprises a vessel extraction stage using scale-space particles and their posterior artery-vein classification using Graph-Cuts (GC) based on arterial/venous similarity scores obtained with a Machine Learning (ML) pre-classification step and particle connectivity information. Validation of pulmonary phantoms from visual examination and quantitative measurements of intensity distributions, dispersion of structures and relationships between pulmonary air and blood flow systems, show good correspondence between real and synthetic lungs. The evaluation of the Artery-Vein (AV) segmentation algorithm, based on different strategies to assess the accuracy of vessel particles classification, reveal accurate differentiation between arteries and vein in both real and synthetic cases that open a huge range of possibilities in the clinical study of cardiopulmonary diseases and the development of methodological approaches for the analysis of pulmonary images.

Production of β-defensins by human airway epithelia

Human β-defensins (HBDs) are antimicrobial peptides that may play a role in mucosal defense. Diminished activity of these peptides has been implicated in the pathogenesis of cystic fibrosis (CF) lung disease. We show that HBD-1 and HBD-2 mRNAs are expressed in excised surface and submucosal gland epithelia from non-CF and CF patients. The pro-inflammatory cytokine interleukin-1β stimulated the expression of HBD-2 but not HBD-1 mRNA and peptide in primary cultures of airway epithelia. HBD-1 was found in bronchoalveolar lavage (BAL) fluid from normal volunteers, CF patients, and patients with inflammatory lung diseases, whereas HBD-2 was detected in BAL fluid from patients with CF or inflammatory lung diseases, but not in normal volunteers. Both HBD-1 and HBD-2 were found in BAL fluid in concentrations of several ng/ml, and both recombinant peptides showed salt-sensitive bactericidal activity. These data suggest that in the lung HBD-2 expression is induced by inflammation, whereas HBD-1 may serve as a defense in the absence of inflammation.

Particle engineering for the production of respirable dry powder formulations

Hyaluronan (HA) plays an important role in lung pathophysiology. For this reason it has attracted great attention both as active ingredient and as excipient in treating lung diseases by direct pulmonary HA administration. The aim was the production of highly respirable and flowable HA powders either as a potential carrier for drug delivery or for being delivered directly by inhalation. Engineered sodium hyaluronate powders were produced by spray-drying technique. All the spray-dried powders were characterised in terms of particle size distribution, drug content, morphology and in vitro respirability. HA was successfully formulated with salbutamol sulphate in combination with leucine and highlighted remarkable aerodynamic performance (emitted dose equal to 83 % and FPF % equal to 97.1%). Moreover, HA colloidal solutions were designed and they were spray-dried. In order to improve particle aerodynamic characteristics, different types of excipients were investigated. In particular, stearylamine (5% w/w) allowed to obtain the best performance throughout the experimental set. Finally, in vitro biocompatibility was carried out by MTT assay and High Content Analysis for selected dry powder formulations and starting materials. The assays demonstrated the same outcome by confirming the HA biocompatibility and by producing the same rank of toxicity for the surfactants. The general conclusion of the project is that formulation containing HA and stearyl alcohol represents the best performing formulation.

Efeitos da imunossupressão sobre a depuração mucociliar de ratos: comparação entre dois esquemas de terapia tríplice

INTRODUÇÃO: O transplante de pulmão é parte fundamental no tratamento das doenças terminais do pulmão, constituindo uma modalidade terapêutica eficaz para pacientes com doença pulmonar incapacitante, progressiva e em estágio final. No entanto, as drogas imunossupressoras usadas para evitar a rejeição do enxerto podem causar efeitos colaterais em diversos tecidos. O sistema mucociliar, presente nas vias aéreas, é um dos principais mecanismos de defesa do trato respiratório e pode ser alterado por ação das drogas imunossupressoras. Desta forma, o objetivo deste estudo foi avaliar o sistema mucociliar traqueobrônquico de ratos submetidos a dois esquemas de terapia tríplice imunossupressora. MÉTODOS: Foram utilizados 90 ratos machos Wistar distribuídos em 3 grupos conforme o tratamento: controle (C) = solução salina; terapia 1 (TI) = tacrolimus + micofenolato de mofetil + prednisona; terapia 2 (TII) = ciclosporina + azatioprina + prednisona. Após o período de tratamento (7, 15 ou 30 dias), os animais foram sacrificados e realizadas as seguintes medidas: transportabilidade do muco (TM), frequência de batimento ciliar (FBC), quantificação de muco neutro e ácido, velocidade de transporte mucociliar (VTMC), e contagem total e diferencial de células no lavado broncoalveolar (LBA). RESULTADOS: A TM não foi afetada pelas terapias em nenhum dos tempos estudados. Ambas as terapias causaram significativa redução da FBC dos animais tratados por 7 e 15 dias. A produção de muco neutro foi menor nos animais tratados com a TI por 7, 15 e 30 dias. Porém, com a TII, essa redução ocorreu apenas aos 7 dias. Por outro lado, a quantidade de muco ácido foi significativamente maior em todos os animais tratados com as duas terapias. Todos os animais tratados com as terapias imunossupressoras apresentaram redução da VTMC nos três tempos. Houve aumento do número total de células e de macrófagos e neutrófilos no grupo TI em 7 dias. CONCLUSÕES: Ambas as terapias imunossupressoras foram prejudiciais ao transporte mucociliar das vias aéreas de ratos, tanto pela redução da FBC e da VTMC, quanto pela maior produção de muco ácido e menor produção de muco neutro. A TI foi mais prejudicial ao sistema mucociliar em comparação à TII

Respiratory failure /

Mode of access: Internet.

Report of workshop on isolation, characterization, and mechanism of action of proteases and antiproteases /

Mode of access: Internet.

Educational materials catalog.

Includes index.

Macrolides in cystic fibrosis

Three randomized control trials have recently been published which have studied the effect of the macrolide antibiotic, azithromycin, in patients with cystic fibrosis (CF).1 3 This review examines the history of macrolide development, antimicrobial indications for macrolides, potential immunomodulatory effects of macrolides and evidence for the role of macrolides in lung diseases, including CE

Measuring the global burden of disease and epidemiological transitions: 2002-2030

Any planning process for health development ought to be based on a thorough understanding of the health needs of the population. This should be sufficiently comprehensive to include the causes of premature death and of disability, as well as the major risk factors that underlie disease and injury. To be truly useful to inform health-policy debates, such an assessment is needed across a large number of diseases, injuries and risk factors, in order to guide prioritization. The results of the original Global Burden of Disease Study and, particularly, those of its 2000-2002 update provide a conceptual and methodological framework to quantify and compare the health of populations using a summary measure of both mortality and disability: the disability-adjusted life-year (DALY). Globally, it appears that about 5 6 million deaths occur each year, 10. 5 million (almost all in poor countries) in children. Of the child deaths, about one-fifth result from perinatal causes such as birth asphyxia and birth trauma, and only slightly less from lower respiratory infections. Annually, diarrhoeal diseases kill over 1.5 million children, and malaria, measles and HIV/AIDS each claim between 500,000 and 800,000 children. HIV/AIDS is the fourth leading cause of death world-wide (2.9 million deaths) and the leading cause in Africa. The top three causes of death globally are ischaemic heart disease (7.2 million deaths), stroke (5.5 million) and lower respiratory diseases (3.9 million). Chronic obstructive lung diseases (COPD) cause almost as many deaths as HIV/AIDS (2.7 million). The leading causes of DALY, on the other hand, include causes that are common at young ages [perinatal conditions (7. 1 % of global DALY), lower respiratory infections (6.7%), and diarrhoeal diseases (4.7%)] as well as depression (4.1%). Ischaemic heart disease and stroke rank sixth and seventh, retrospectively, as causes of global disease burden, followed by road traffic accidents, malaria and tuberculosis. Projections to 2030 indicate that, although these major vascular diseases will remain leading causes of global disease burden, with HIV/AIDS the leading cause, diarrhoeal diseases and lower respiratory infections will be outranked by COPD, in part reflecting the projected increases in death and disability from tobacco use.

Usual interstitial pneumonia and smoking-related interstitial fibrosis display epithelial to mesenchymal transition in fibroblastic foci

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Exercise induces rapid interstitial lung water accumulation in patients with chronic mountain sickness

Chronic mountain sickness (CMS) is a major public health problem in mountainous regions of the world. In its more advanced stages, exercise intolerance is often found, but the underlying mechanism is not known. Recent evidence indicates that exercise-induced pulmonary hypertension is markedly exaggerated in CMS. We speculated that this problem may cause pulmonary fluid accumulation and aggravate hypoxemia during exercise.