Peripheral Blood Neutrophil Activity During Dermatophagoides pteronyssinus-Induced Late-Phase Airway Inflammation in Patients with Allergic Rhinitis and Asthma

Recent investigations suggest that neutrophils may play an important role in the late-phase allergen-induced inflammation in allergic airway diseases. The aim of this study was to evaluate neutrophil chemotaxis, phagocytic activity, and reactive oxygen species (ROS) production in patients with allergic rhinitis and asthma challenged with inhaled Dermatophagoides pteronyssinus. Eighteen patients with allergic rhinitis and 14 with allergic asthma, all sensitized to D. pteronyssinus, as well as 15 healthy individuals underwent bronchial challenge with D. pteronyssinus. Peripheral blood collection and neutrophil isolation were performed 24 h before as well as 7 and 24 h after bronchial challenge. Neutrophils chemotaxis, phagocytic activity, and ROS production were analyzed by flow cytometer. Neutrophil chemotaxis and ROS production were increased, while phagocytic activity was decreased 24 h before challenge in patient groups compared with healthy individuals. After challenge, neutrophil chemotaxis and phagocytic activity increased after 7 and 24 h, when ROS production, only after 24 h. Bronchial allergen challenge had no influence for neutrophils activity in healthy subjects. Activated chemotaxis, phagocytic activity, and ROS production of peripheral blood neutrophils after challenge with D. pteronyssinus reflect an enhanced systemic inflammation in allergic rhinitis and asthma patients with induced late-phase airway inflammation.     

Linear regression models and k-means clustering for statistical analysis of fNIRS data

We propose a new algorithm, based on a linear regression model, to statistically estimate the hemodynamic activations in fNIRS data sets. The main concern guiding the algorithm development was the minimization of assumptions and approximations made on the data set for the application of statistical tests. Further, we propose a K-means method to cluster fNIRS data (i.e. channels) as activated or not activated. The methods were validated both on simulated and in vivo fNIRS data. A time domain (TD) fNIRS technique was preferred because of its high performances in discriminating cortical activation and superficial physiological changes. However, the proposed method is also applicable to continuous wave or frequency domain fNIRS data sets.OCIS codes: (000.5490) Probability theory, stochastic processes, and statistics; (170.2655) Functional monitoring and imaging; (170.6920) Time-resolved imaging; (170.1470) Blood or tissue constituent monitoring     

Activation of the food-derived mutagen 2-amino-1-methyl-6-phenylimidazo[4, 5-b]pyridine by rabbit and human liver microsomes and purified forms of cytochrome P-450

The specificity of rabbit cytochrome P-450 involved in the mutagenicactivation of 2-amino-1-methyl-6-phenylimid-azo[4, 5-b]pyridine(PhIP) was assessed using control and induced rabbit liver andlung microsomes, and six purified forms of cytochrome P-450.The number of revertants produced/2.5µg PhIP by controlrabbit liver was 260 ± 196/10 µg of microsomalprotein (mean ± SD; n = 3), and this increased to 1265± 248 when 2,3,7,8-tetrachloro-dibenzo-p-dioxin (TCDD)-inducedliver microsomes were used as the activation source in the Amestest. Microsomes form phenobarbital-, rifampicin-and acetone-pretreatedrabbits showed no increase in activity over controls. Controllung microsomes did not activate PhIP to a mutagen, whereasTCDD-induced lung microsomes produced 1443 ± 136 (mean± SD; n=4) Ames/Salmonella revertants/100 µg protein.In reconstitution experiments cytochrome P450 forms 4 and 6were found to be efficient activators of PhIP to a mutagen.Form 6 was 3.1-fold more active than form 4 and produced 4577revertants/10 pmol with a 20-min preincubation step in the Amestest. Cytochrome form 5 produced 17 revertants/10 pmol and forms2, 3b and 3c were not active in metabolizing PhIP to a mutagen.A highly significant statistical correlation existed betweenthe capacity of control and induced liver microsomes to activatePhIP to a mutagen and their cytochrome P-450 form 4 (r = 0.97,r² = 0.94) and form 6 (r = 0.95, r² = 0.90) content. These datastrongly support the involvement of polycyclic hydrocarbon-inducibleforms of cytochrome P450 in the activation of PhIP in the rabbit.Anti-rabbit forms 4 and 6 IgGs recognized proteins in sevenhuman liver microsomes of comparable mol. wt to rabbit cytochromeP-450 forms 4 and 6. However, no correlation existed betweenthe content of these proteins and the capacity of human livermicrosomes to activate PhIP.     

The microvascular network of the pituitary gland: a model for the application of fractal geometry to the analysis of angioarchitecture and angiogenesis of brain tumors

In geometrical terms, tumor vascularity is an exemplary anatomical system that irregularly fills a three-dimensional Euclidean space. This physical characteristic, together with the highly variable vessel shapes and surfaces, leads to considerable spatial and temporal heterogeneity in the delivery of oxygen, nutrients and drugs, and the removal of metabolites. Although these biological features have now been well established, quantitative analyses of neovascularity in two-dimensional histological sections still fail to view tumor architecture in non-Euclidean terms, and this leads to errors in visually interpreting the same tumor, and discordant results from different laboratories. A review of the literature concerning the application of microvessel density (MVD) estimates, an Euclidean-based approach used to quantify vascularity in normal and neoplastic pituitary tissues, revealed some disagreements in the results and led us to discuss the limitations of the Euclidean quantification of vascularity. Consequently, we introduced fractal geometry as a better means of quantifying the microvasculature of normal pituitary glands and pituitary adenomas, and found that the use of the surface fractal dimension is more appropriate than MVD for analysing the vascular network of both. We propose extending the application of this model to the analysis of the angiogenesis and angioarchitecture of brain tumors.