45 research outputs found

    Montana’s Bat Acoustic Surveillance Efforts: Pre-White-Nose Syndrome (Oral Presentation and Poster)

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    Montana’s bat species face a wide array of conservation issues that threaten the long-term viability of these populations. The potential arrival of White-Nose Syndrome (WNS) may be the single greatest threat as mortality has exceeded 95% for some bat populations in eastern North America. A collaborative effort was initiated in 2011 to document year-round spatial and temporal activity patterns of Montana’s bats prior to WNS arrival. In the last 4 years, we have deployed a network of over 60 Song Meter ultrasonic acoustic detector/recorder stations programmed to record bat passes from sunset to sunrise year-round. Through late December of 2014, these recording stations have resulted in more than 3.9 million full spectrum sound files containing more than 12.5 terabytes of information. Processing and automated analyses have been completed for all sound files and over 30,000 bat passes have been reviewed by hand using an updated Montana bat call characteristics key to definitively confirm the presence of species during each month of the year, identify the lowest temperatures at which individual bat species are active, and track overall bat activity, regardless of species, at each station. Highlights to-date include: 1421 new records of monthly species presence throughout the state, numerous first records of species’ activity during the fall, winter, and spring months, numerous first records of species in regions with previously limited bat survey effort, documentation of nightly activity patterns throughout the year and regular winter activity for a few resident species, and the year-round presence of species previously considered migratory

    Montana’s Bat Acoustic Surveillance Efforts: an Update (Poster)

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    Montana’s bat species face a wide array of conservation issues that threaten their long-term viability.  A collaborative effort was initiated in 2011 to document year-round activity patterns of Montana’s bats prior to the arrival of White-nose Syndrome as mortality has exceeded 95% for some bat populations effected by this disease in eastern North America.  In the last 5 years, we have deployed a network of over 76 Song Meter ultrasonic acoustic detector/recorder stations programmed to record bat passes from sunset to sunrise year-round. Through late December 2015, these recording stations have resulted in more than 7.2 million full spectrum sound files containing nearly 13 terabytes of information. Processing and automated analyses have been completed for all sound files and over 43,000 bat passes have been reviewed by hand using an updated Montana bat call characteristics key to definitively confirm the presence of species during each month of the year, identify the lowest temperatures at which individual bat species are active, and track overall bat activity, regardless of species, at each station. Highlights to-date include: 2,104 new records of monthly species presence in various landscapes across the region, numerous first records of species’ activity during the fall, winter, and spring months, numerous first records of species in regions with previously limited survey effort, documentation of nightly activity patterns throughout the year, regular winter activity for a few resident species, the year-round presence of species previously considered migratory, and exciting patterns of activity relative to temperature, wind speed, barometric pressure, and moonlight

    Montana’s Bat Acoustic Surveillance Efforts: Pre-White-Nose Syndrome (Oral Presentation and Poster)

    Get PDF
    Montana’s bat species face a wide array of conservation issues that threaten the long-term viability of these populations. The potential arrival of White-Nose Syndrome (WNS) may be the single greatest threat as mortality has exceeded 95% for some bat populations in eastern North America. A collaborative effort was initiated in 2011 to document year-round spatial and temporal activity patterns of Montana’s bats prior to WNS arrival. In the last 4 years, we have deployed a network of over 60 Song Meter ultrasonic acoustic detector/recorder stations programmed to record bat passes from sunset to sunrise year-round. Through late December of 2014, these recording stations have resulted in more than 3.9 million full spectrum sound files containing more than 12.5 terabytes of information. Processing and automated analyses have been completed for all sound files and over 30,000 bat passes have been reviewed by hand using an updated Montana bat call characteristics key to definitively confirm the presence of species during each month of the year, identify the lowest temperatures at which individual bat species are active, and track overall bat activity, regardless of species, at each station. Highlights to-date include: 1421 new records of monthly species presence throughout the state, numerous first records of species’ activity during the fall, winter, and spring months, numerous first records of species in regions with previously limited bat survey effort, documentation of nightly activity patterns throughout the year and regular winter activity for a few resident species, and the year-round presence of species previously considered migratory

    Montana’s Winter Bat Roost and White-Nose Syndrome Surveillance Efforts (Oral Presentation and Poster)

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    White-Nose Syndrome (WNS), caused by the cold-adapted soil fungus Pseudogymnoascus destructans, has killed an estimated 5.7 to 6.7 million bats in eastern North America since 2006 and has spread westward to states along the Mississippi River corridor as well as the province of Ontario.  With at least 9 of Montana’s 15 known bat species facing potentially devastating increases in mortality from WNS, a collaborative effort was initiated in the fall of 2011 to document the species composition, number, degree of clustering, and roost temperatures and humidities of bats winter roosting in caves and mines.  To-date, collaborators have surveyed over 50 caves and mines, deploying over 30 temperature and relative humidity data loggers near winter roosting bats; most known bat hibernacula in Montana are now being monitored.  Most caves and mines surveyed to date support only small numbers of winter roosting bats; typically less than ten roosting in isolation or clusters of two to three.  A handful of caves have 50-1750 winter roosting bats with clusters of up to 40 individuals.  Many of the caves that have been surveyed have temperatures and humidities that appear to be capable of supporting P. destructans, but PCR-based testing of bat and substrate swabs have tested negative for its presence so far.  The majority of Montana bats apparently winter roost away from mines or caves that are accessible to, or known by, humans and these roosts need to be located and assessed for their ability to support P. destructans

    Montana’s Winter Bat Roost and White-Nose Syndrome Surveillance Efforts (Oral Presentation and Poster)

    Get PDF
    White-Nose Syndrome (WNS), caused by the cold-adapted soil fungus Pseudogymnoascus destructans, has killed an estimated 5.7 to 6.7 million bats in eastern North America since 2006 and has spread westward to states along the Mississippi River corridor as well as the province of Ontario.  With at least 9 of Montana’s 15 known bat species facing potentially devastating increases in mortality from WNS, a collaborative effort was initiated in the fall of 2011 to document the species composition, number, degree of clustering, and roost temperatures and humidities of bats winter roosting in caves and mines.  To-date, collaborators have surveyed over 50 caves and mines, deploying over 30 temperature and relative humidity data loggers near winter roosting bats; most known bat hibernacula In Montana are now being monitored.  Most caves and mines surveyed to date support only small numbers of winter roosting bats; typically less than ten roosting in isolation or clusters of two to three.  A handful of caves have 50-1750 winter roosting bats with clusters of up to 40 individuals.  Many of the caves that have been surveyed have temperatures and humidities that appear to be capable of supporting P. destructans, but PCR-based testing of bat and substrate swabs have tested negative for its presence so far.  The majority of Montana bats apparently winter roost away from mines or caves that are accessible to, or known by, humans and these roosts need to be located and assessed for their ability to support P. destructans

    Conserved host response to highly pathogenic avian influenza virus infection in human cell culture, mouse and macaque model systems

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    <p>Abstract</p> <p>Background</p> <p>Understanding host response to influenza virus infection will facilitate development of better diagnoses and therapeutic interventions. Several different experimental models have been used as a proxy for human infection, including cell cultures derived from human cells, mice, and non-human primates. Each of these systems has been studied extensively in isolation, but little effort has been directed toward systematically characterizing the conservation of host response on a global level beyond known immune signaling cascades.</p> <p>Results</p> <p>In the present study, we employed a multivariate modeling approach to characterize and compare the transcriptional regulatory networks between these three model systems after infection with a highly pathogenic avian influenza virus of the H5N1 subtype. Using this approach we identified functions and pathways that display similar behavior and/or regulation including the well-studied impact on the interferon response and the inflammasome. Our results also suggest a primary response role for airway epithelial cells in initiating hypercytokinemia, which is thought to contribute to the pathogenesis of H5N1 viruses. We further demonstrate that we can use a transcriptional regulatory model from the human cell culture data to make highly accurate predictions about the behavior of important components of the innate immune system in tissues from whole organisms.</p> <p>Conclusions</p> <p>This is the first demonstration of a global regulatory network modeling conserved host response between <it>in vitro </it>and <it>in vivo </it>models.</p

    Folyóirat vagy gyűjteményes kötet? (Csokonai Diétai Magyar Múzsája)

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    BACKGROUND: The complex interplay between viral replication and host immune response during infection remains poorly understood. While many viruses are known to employ anti-immune strategies to facilitate their replication, highly pathogenic virus infections can also cause an excessive immune response that exacerbates, rather than reduces pathogenicity. To investigate this dichotomy in severe acute respiratory syndrome coronavirus (SARS-CoV), we developed a transcriptional network model of SARS-CoV infection in mice and used the model to prioritize candidate regulatory targets for further investigation. RESULTS: We validated our predictions in 18 different knockout (KO) mouse strains, showing that network topology provides significant predictive power to identify genes that are important for viral infection. We identified a novel player in the immune response to virus infection, Kepi, an inhibitory subunit of the protein phosphatase 1 (PP1) complex, which protects against SARS-CoV pathogenesis. We also found that receptors for the proinflammatory cytokine tumor necrosis factor alpha (TNFα) promote pathogenesis, presumably through excessive inflammation. CONCLUSIONS: The current study provides validation of network modeling approaches for identifying important players in virus infection pathogenesis, and a step forward in understanding the host response to an important infectious disease. The results presented here suggest the role of Kepi in the host response to SARS-CoV, as well as inflammatory activity driving pathogenesis through TNFα signaling in SARS-CoV infections. Though we have reported the utility of this approach in bacterial and cell culture studies previously, this is the first comprehensive study to confirm that network topology can be used to predict phenotypes in mice with experimental validation

    Development and characterization of a Yucatan miniature biomedical pig permanent middle cerebral artery occlusion stroke model

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    BACKGROUND: Efforts to develop stroke treatments have met with limited success despite an intense need to produce novel treatments. The failed translation of many of these therapies in clinical trials has lead to a close examination of the therapeutic development process. One of the major factors believed to be limiting effective screening of these treatments is the absence of an animal model more predictive of human responses to treatments. The pig may potentially fill this gap with a gyrencephalic brain that is larger in size with a more similar gray-white matter composition to humans than traditional stroke animal models. In this study we develop and characterize a novel pig middle cerebral artery occlusion (MCAO) ischemic stroke model. METHODS: Eleven male pigs underwent MCAO surgery with the first 4 landrace pigs utilized to optimize stroke procedure and 7 additional Yucatan stroked pigs studied over a 90 day period. MRI analysis was done at 24 hrs and 90 days and included T2w, T2w FLAIR, T1w FLAIR and DWI sequences and associated ADC maps. Pigs were sacrificed at 90 days and underwent gross and microscopic histological evaluation. Significance in quantitative changes was determined by two-way analysis of variance and post-hoc Tukey’s Pair-Wise comparisons. RESULTS: MRI analysis of animals that underwent MCAO surgery at 24 hrs had hyperintense regions in T2w and DWI images with corresponding ADC maps having hypointense regions indicating cytotoxic edema consistent with an ischemic stroke. At 90 days, region of interest analysis of T1 FLAIR and ADC maps had an average lesion size of 59.17 cc, a loss of 8% brain matter. Histological examination of pig brains showed atrophy and loss of tissue, consistent with MRI, as well as glial scar formation and macrophage infiltration. CONCLUSIONS: The MCAO procedure led to significant and consistent strokes with high survivability. These results suggest that the pig model is potentially a robust system for the study of stroke pathophysiology and potential diagnostics and therapeutics
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