15 research outputs found

    Laboratory Analysis of Tularemia in Wild-Trapped, Commercially Traded Prairie Dogs, Texas, 2002

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    Oropharyngeal tularemia was identified as the cause of a die-off in captured wild prairie dogs at a commercial exotic animal facility in Texas. From this point source, Francisella tularensis–infected prairie dogs were traced to animals distributed to the Czech Republic and to a Texas pet shop. F. tularensis culture isolates were recovered tissue specimens from 63 prairie dogs, including one each from the secondary distribution sites. Molecular and biochemical subtyping indicated that all isolates were F. tularensis subsp. holarctica (Type B). Microagglutination assays detected antibodies against F. tularensis, with titers as great as 1:4,096 in some live animals. All seropositive animals remained culture positive, suggesting that prairie dogs may act as chronic carriers of F. tularensis. These findings demonstrate the need for additional studies of tularemia in prairie dogs, given the seriousness of the resulting disease, the fact that prairie dogs are sold commercially as pets, and the risk for pet-to-human transmission

    Toward a multiscale modeling framework for understanding serotonergic function

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    Despite its importance in regulating emotion and mental wellbeing, the complex structure and function of the serotonergic system present formidable challenges toward understanding its mechanisms. In this paper, we review studies investigating the interactions between serotonergic and related brain systems and their behavior at multiple scales, with a focus on biologically-based computational modeling. We first discuss serotonergic intracellular signaling and neuronal excitability, followed by neuronal circuit and systems levels. At each level of organization, we will discuss the experimental work accompanied by related computational modeling work. We then suggest that a multiscale modeling approach that integrates the various levels of neurobiological organization could potentially transform the way we understand the complex functions associated with serotonin

    At the Biological Modeling and Simulation Frontier

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    We provide a rationale for and describe examples of synthetic modeling and simulation (M&S) of biological systems. We explain how synthetic methods are distinct from familiar inductive methods. Synthetic M&S is a means to better understand the mechanisms that generate normal and disease-related phenomena observed in research, and how compounds of interest interact with them to alter phenomena. An objective is to build better, working hypotheses of plausible mechanisms. A synthetic model is an extant hypothesis: execution produces an observable mechanism and phenomena. Mobile objects representing compounds carry information enabling components to distinguish between them and react accordingly when different compounds are studied simultaneously. We argue that the familiar inductive approaches contribute to the general inefficiencies being experienced by pharmaceutical R&D, and that use of synthetic approaches accelerates and improves R&D decision-making and thus the drug development process. A reason is that synthetic models encourage and facilitate abductive scientific reasoning, a primary means of knowledge creation and creative cognition. When synthetic models are executed, we observe different aspects of knowledge in action from different perspectives. These models can be tuned to reflect differences in experimental conditions and individuals, making translational research more concrete while moving us closer to personalized medicine

    Potential for Interferon-Alpha-Based Therapy in Mesothelioma - Assessment in a Murine Model

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    Malignant mesothelioma is an aggressive tumor, usually induced by asbestos exposure, that has a poor prognosis and is unresponsive to conventional therapy. The present study was aimed at assessing the potential for interferon-alpha (IFN-alpha)-based therapies in a murine model for malignant mesothelioma. The effect of recombinant human IFN-alpha B/D on tumor growth, alone and in combination with either of two immunamodulatory and antiproliferative agents beta-carotene or alpha-difluoromethylornithine (DFMO), was assessed. The data suggest that IFN-alpha treatment is most efficacious when commenced early in tumor development. Combination of IFN-alpha with either DFMO or dietary beta-carotene supplementation improved the effect of an otherwise suboptimal IFN-alpha therapy regimen. Both IFN-alpha and beta-carotene had in vivo stimulatory effects on immune cells, perhaps indirectly by inhibiting TGF-beta generation. The immunomodulatory effects may contribute, at least in part, to the positive antitumor and clinical activities of the treatments in this model
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