35 research outputs found

    NO2 inhalation induces maturation of pulmonary CD11c+ cells that promote antigenspecific CD4+ T cell polarization

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    <p>Abstract</p> <p>Background</p> <p>Nitrogen dioxide (NO<sub>2</sub>) is an air pollutant associated with poor respiratory health, asthma exacerbation, and an increased likelihood of inhalational allergies. NO<sub>2 </sub>is also produced endogenously in the lung during acute inflammatory responses. NO<sub>2 </sub>can function as an adjuvant, allowing for allergic sensitization to an innocuous inhaled antigen and the generation of an antigen-specific Th2 immune response manifesting in an allergic asthma phenotype. As CD11c<sup>+ </sup>antigen presenting cells are considered critical for naïve T cell activation, we investigated the role of CD11c<sup>+ </sup>cells in NO<sub>2</sub>-promoted allergic sensitization.</p> <p>Methods</p> <p>We systemically depleted CD11c<sup>+ </sup>cells from transgenic mice expressing a simian diphtheria toxin (DT) receptor under of control of the CD11c promoter by administration of DT. Mice were then exposed to 15 ppm NO<sub>2 </sub>followed by aerosolized ovalbumin to promote allergic sensitization to ovalbumin and were studied after subsequent inhaled ovalbumin challenges for manifestation of allergic airway disease. In addition, pulmonary CD11c<sup>+ </sup>cells from wildtype mice were studied after exposure to NO<sub>2 </sub>and ovalbumin for cellular phenotype by flow cytometry and <it>in vitro </it>cytokine production.</p> <p>Results</p> <p>Transient depletion of CD11c<sup>+ </sup>cells during sensitization attenuated airway eosinophilia during allergen challenge and reduced Th2 and Th17 cytokine production. Lung CD11c<sup>+ </sup>cells from wildtype mice exhibited a significant increase in MHCII, CD40, and OX40L expression 2 hours following NO<sub>2 </sub>exposure. By 48 hours, CD11c<sup>+</sup>MHCII<sup>+ </sup>DCs within the mediastinal lymph node (MLN) expressed maturation markers, including CD80, CD86, and OX40L. CD11c<sup>+</sup>CD11b<sup>- </sup>and CD11c<sup>+</sup>CD11b<sup>+ </sup>pulmonary cells exposed to NO<sub>2 </sub><it>in vivo </it>increased uptake of antigen 2 hours post exposure, with increased ova-Alexa 647<sup>+ </sup>CD11c<sup>+</sup>MHCII<sup>+ </sup>DCs present in MLN from NO<sub>2</sub>-exposed mice by 48 hours. Co-cultures of ova-specific CD4<sup>+ </sup>T cells from naïve mice and CD11c<sup>+ </sup>pulmonary cells from NO<sub>2</sub>-exposed mice produced IL-1, IL-12p70, and IL-6 <it>in vitro </it>and augmented antigen-induced IL-5 production.</p> <p>Conclusions</p> <p>CD11c<sup>+ </sup>cells are critical for NO<sub>2</sub>-promoted allergic sensitization. NO<sub>2 </sub>exposure causes pulmonary CD11c<sup>+ </sup>cells to acquire a phenotype capable of increased antigen uptake, migration to the draining lymph node, expression of MHCII and co-stimulatory molecules required to activate naïve T cells, and secretion of polarizing cytokines to shape a Th2/Th17 response.</p

    Selection of Patients for ICP Monitoring

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    Statistical shape modelling for expression-invariant face analysis and recognition

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    Paper introduces a 3-D shape representation scheme for automatic face analysis and identification, and demonstrates its invariance to facial expression. The core of this scheme lies on the combination of statistical shape modelling and non-rigid deformation matching. While the former matches 3-D faces with facial expression, the latter provides a low-dimensional feature vector that controls the deformation of model for matching the shape of new input, thereby enabling robust identification of 3-D faces. The proposed scheme is also able to handle the pose variation without large part of missing data. To assist the establishment of dense point correspondences, a modified freeform-deformation based on B-spline warping is applied with the help of extracted landmarks. The hybrid iterative closest point method is introduced for matching the models and new data. The feasibility and effectiveness of the proposed method was investigated using standard publicly available Gavab and BU-3DFE datasets, which contain faces with expression and pose changes. The performance of the system was compared with that of nine benchmark approaches. The experimental results demonstrate that the proposed scheme provides a competitive solution for face recognition
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