1,251 research outputs found

    Pathological classification of equine recurrent laryngeal neuropathy

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    Recurrent Laryngeal Neuropathy (RLN) is a highly prevalent and predominantly left‐sided, degenerative disorder of the recurrent laryngeal nerves (RLn) of tall horses, that causes inspiratory stridor at exercise because of intrinsic laryngeal muscle paresis. The associated laryngeal dysfunction and exercise intolerance in athletic horses commonly leads to surgical intervention, retirement or euthanasia with associated financial and welfare implications. Despite speculation, there is a lack of consensus and conflicting evidence supporting the primary classification of RLN, as either a distal (“dying back”) axonopathy or as a primary myelinopathy and as either a (bilateral) mononeuropathy or a polyneuropathy; this uncertainty hinders etiological and pathophysiological research. In this review, we discuss the neuropathological changes and electrophysiological deficits reported in the RLn of affected horses, and the evidence for correct classification of the disorder. In so doing, we summarize and reveal the limitations of much historical research on RLN and propose future directions that might best help identify the etiology and pathophysiology of this enigmatic disorder

    Detection of equine atypical myopathy-associated hypoglycin A in plant material: Optimisation and validation of a novel LC-MS based method without derivatisation

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    Hypoglycin A (HGA) toxicity, following ingestion of material from certain plants, is linked to an acquired multiple acyl-CoA dehydrogenase deficiency known as atypical myopathy, a commonly fatal form of equine rhabdomyolysis seen worldwide. Whilst some plants are known to contain this toxin, little is known about its function or the mechanisms that lead to varied HGA concentrations between plants. Consequently, reliable tools to detect this amino acid in plant samples are needed. Analytical methods for HGA detection have previously been validated for the food industry, however, these techniques rely on chemical derivatisation to obtain accurate results at low HGA concentrations. In this work, we describe and validate a novel method, without need for chemical derivatisation (accuracy = 84–94%; precision = 3–16%; reproducibility = 3–6%; mean linear range R2 = 0.999). The current limit of quantitation for HGA in plant material was halved (from 1μg/g in previous studies) to 0.5μg/g. The method was tested in Acer pseudoplatanus material and other tree and plant species. We confirm that A. pseudoplatanus is most likely the only source of HGA in trees found within European pastures

    Composite engines for application to a single-stage-to-orbit vehicle

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    Seven composite engines were designed for application to a reusable single-stage-to-orbit vehicle. The engine designs were variations of the supercharged ejector ramjet engine. The resulting performance, weight, and drawings of each engine form a data base for establishing a potential of this class of composite engine to various missions, including the single-stage-to-orbit application. The impact of advanced technology in the design of the critical fan turbine was established

    PSS23 Patient Burden Associated With Lack of Treatment Satisfaction Amongst Psoriasis Patients Receiving Traditional Systemic Therapies

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    PUK21 AN ANALYSIS OF PATIENTS ON WAITING LISTS TO RECEIVE SURGERY FOR STRESS URINARY INCONTINENCE (SUI) IN ENGLAND AND SCOTLAND

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    Defining true propagation patterns of underwater noise produced by stationary vessels

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    The study of underwater vessel noise over the past sixty years has predominantly focused upon the increase in ambient noise caused by the propulsion mechanisms of large commercial vessels. Studies have identified that the continuous rise of ambient noise levels in open waters is linked to the increase in size and strength of anthropogenic sound sources. Few studies have investigated the noise contribution of smaller vessels or ambient noise levels present in coastal and in-shore waters. This study aimed to identify the level of noise common to non-commercial harbors by studying the noise emissions of a diesel generator on board a 70m long sailing vessel. Propagation patterns revealed an unconventional shape (specific to the precise location of the noise source on board the vessel), unlike those of standard geometric spreading models, as typically assumed when predicting vessel noise emission. Harbor attributes (including water depth, ground sediment and structural material components) caused for altered level and frequency characteristics of the recorded underwater noise, and were correlated to the sound measurements made. The measurements (taken in eight harbors around Northern Europe) were statistically analyzed to identify the primary factors influencing near-field sound propagation around a stationary vessel

    CV4: USING UK OBSERVATIONAL DATA TO IDENTIFY POSSIBILITIES FOR THE COST-EFFECTIVE IMPROVEMENT OF THE TREATMENT OF ATRIAL FIBRILLATION

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    A profile of arguing behaviors on Facebook

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    This study explored how people argue on social-networking sites. Specifically, participants (N = 170) responded to open and closed-ended questions about the most recent argument they had engaged in on Facebook. Results of a content analysis of participants' answers revealed individuals tended to argue mostly about public issues, in somewhat complex arguments that involved a median of six people and with about 30 comments exchanged. Individuals often pursued multiple goals, with persuasion and defending themselves or others also reported by some. Arguments tended to end without resolution, and most had no effects on arguers' relationships; however, for 20% of the sample, arguments permanently damaged their relationships. Although the number of friends participants had did not have a substantial effect on their frequency of arguing, the frequency with which one's friends argued on Facebook was positively related to one's own arguing frequency. These results are interpreted in connection to argumentation and computer-mediated-communication literature. Limitations of the study as well as directions for future research are also discussed

    Gene editing restores dystrophin expression in a canine model of Duchenne muscular dystrophy

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    Mutations in the gene encoding dystrophin, a protein that maintains muscle integrity and function, cause Duchenne muscular dystrophy (DMD). The deltaE50-MD dog model of DMD harbors a mutation corresponding to a mutational “hotspot” in the human DMD gene. We used adeno-associated viruses to deliver CRISPR gene editing components to four dogs and examined dystrophin protein expression 6 weeks after intramuscular delivery (n = 2) or 8 weeks after systemic delivery (n = 2). After systemic delivery in skeletal muscle, dystrophin was restored to levels ranging from 3 to 90% of normal, depending on muscle type. In cardiac muscle, dystrophin levels in the dog receiving the highest dose reached 92% of normal. The treated dogs also showed improved muscle histology. These large-animal data support the concept that, with further development, gene editing approaches may prove clinically useful for the treatment of DMD
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