2 resultados para Jet Propulsion Laboratory (U.S.)

em DigitalCommons@The Texas Medical Center


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Dermal exposure to jet fuel suppresses the immune response. Immune regulatory cytokines, and biological modifiers, including platelet activating factor, prostaglandin E2, and interleukin-10 have all been implicated in the pathway leading to immunosuppression. It is estimated that approximately 260 different hydrocarbons are found in JP-8 (jet propulsion-8) jet fuel, and the identity of the immunotoxic compound is not known. The recent availability of synthetic jet fuel (S-8), which is devoid of aromatic hydrocarbons, made it feasible to design experiments to test the hypothesis that the aromatic hydrocarbons are responsible for jet fuel induced immune suppression. Applying S-8 to the skin of mice does not up-regulate the expression of epidermal cyclooxygenase-2 nor does it induce immune suppression. Adding back a cocktail of 7 of the most prevalent aromatic hydrocarbons found in jet fuel to S-8 up-regulated cyclooxygenase-2 expression and induced immune suppression. Cyclooxygenase-2 induction can be initiated by reactive oxygen species (ROS). JP-8 treated keratinocytes increased ROS production, S-8 did not. Antioxidant pre-treatment blocked jet fuel induced immune suppression and cyclooxygenase-2 up-regulation. Accumulation of reactive oxygen species induces oxidant stress and affects activity of ROS sensitive transcription factors. JP-8 induced activation of NFκB while S-8 did not. Pre-treatment with antioxidants blocked activation of NFκB and parthenolide, an NFκB inhibitor, blocked jet fuel induced immune suppression and cyclooxygenase-2 expression in skin of treated mice. p65 siRNA transfected keratinocytes demonstrated NFκB is critically involved in jet fuel induced COX-2 expression. These findings clearly implicate the aromatic hydrocarbons found in jet fuel as the agents responsible for inducing immune suppression, in part by the production of reaction oxygen species, NFκB dependent up-regulation of cyclooxygenase-2, and the production of immune regulatory factors and cytokines. ^

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This study retrospectively evaluated the spatial and temporal disease patterns associated with influenza-like illness (ILI), positive rapid influenza antigen detection tests (RIDT), and confirmed H1N1 S-OIV cases reported to the Cameron County Department of Health and Human Services between April 26 and May 13, 2009 using the space-time permutation scan statistic software SaTScan in conjunction with geographical information system (GIS) software ArcGIS 9.3. The rate and age-adjusted relative risk of each influenza measure was calculated and a cluster analysis was conducted to determine the geographic regions with statistically higher incidence of disease. A Poisson distribution model was developed to identify the effect that socioeconomic status, population density, and certain population attributes of a census block-group had on that area's frequency of S-OIV confirmed cases over the entire outbreak. Predominant among the spatiotemporal analyses of ILI, RIDT and S-OIV cases in Cameron County is the consistent pattern of a high concentration of cases along the southern border with Mexico. These findings in conjunction with the slight northward space-time shifts of ILI and RIDT cluster centers highlight the southern border as the primary site for public health interventions. Finally, the community-based multiple regression model revealed that three factors—percentage of the population under age 15, average household size, and the number of high school graduates over age 25—were significantly associated with laboratory-confirmed S-OIV in the Lower Rio Grande Valley. Together, these findings underscore the need for community-based surveillance, improve our understanding of the distribution of the burden of influenza within the community, and have implications for vaccination and community outreach initiatives.^