Antibiotic use in goats: role of experience and education of Missouri veterinarians.

BACKGROUND: In a previous study, we found that rates of antibiotic residues in goat carcasses in Missouri were three times the published national average, warranting further research in this area. METHODS: We conducted a cross-sectional survey of goat veterinarians to determine attitudes and practices regarding antibiotics, recruiting 725 veterinarians listed on the American Association of Small Ruminant Practitioners (AASRP) website and 64 Missouri Veterinary Medical Association (MVMA) veterinarians. RESULTS: We collected 189 responses (26.1%) from AASRP members (170 valid) and 8 (12.5%) from MVMA veterinarians totalling 178 responses. While the vast majority of all veterinarians indicated that they prescribed antibiotics less than half of the time, Missouri veterinarians indicated that they spent more time treating goats for overt disease like intestinal parasites and less time on proactive practices such as reproductive herd health management comparatively. While veterinarians agreed that antibiotic resistance was a growing concern, veterinarians outside of Missouri seemed more confident that their own prescription practices was not a contributor. Although nationally most veterinarians felt that attending continuing education classes was beneficial, 73.4% in other states attended classes on antibiotic use compared to only four of the nine Missouri veterinarians. CONCLUSION: Missouri veterinarians had less veterinary experience than veterinarians in other states, and this, in conjunction with low continuing education requirements in Missouri relative to most other states, may hinder development of more proactive and effective client-veterinary relationships.

Antibiotic Use on Goat Farms: An Investigation of Knowledge, Attitudes, and Behaviors of Missouri Goat Farmers.

Use of low dose, prophylactic antibiotics contributes to the emergence of antibiotic resistant bacteria. In one study, goat meat in Missouri was found to have a higher percentage of antibiotic residues at slaughter than the national average, so we attempted to identify factors related to goat production that may contribute to this issue. Using the knowledge, attitude, and behavior (KAB) model, we interviewed 11 Missouri goat farmers about factors affecting antibiotic use. Most of the farmers did not have specific protocols for managing illnesses and only relied on veterinarians for major health issues. Many felt veterinarians lacked knowledge about goat medicine so instead relied on other farmers' or their own experiences for treatment modalities. While most agreed that antibiotic resistance was a concern, only 4 of the 11 indicated that they only used antibiotics when prescribed by the veterinarian. Veterinarians should be relied on and valued for their medical expertise, but they are not always being utilized in this manner. Therefore, veterinary education should emphasize goat health management to a greater extent than it currently does, and soft skills to build collaborative relationships with farmers should be taught to promote preventative health measures and more judicious use of antibiotics.

Fostering collaborative research for rare genetic disease: the example of niemann-pick type C disease.

Rare disease represents one of the most significant issues facing the medical community and health care providers worldwide, yet the majority of these disorders never emerge from their obscurity, drawing little attention from the medical community or the pharmaceutical industry. The challenge therefore is how best to mobilize rare disease stakeholders to enhance basic, translational and clinical research to advance understanding of pathogenesis and accelerate therapy development. Here we describe a rare, fatal brain disorder known as Niemann-Pick type C (NPC) and an innovative research collaborative known as Support of Accelerated Research for NPC (SOAR-NPC) which illustrates one pathway through which knowledge of a rare disease and its possible treatments are being successfully advanced. Use of the "SOAR" mechanism, we believe, offers a blueprint for similar advancement for many other rare disorders.

A meso-macro compartmentalized bioreactor obtained through silicalization of "green" double emulsions: W/O/W and W/SLNs/W.

We report a straightforward approach for both structuring and entrapping enzymes into hierarchical silica materials with hexagonally ordered mesopores (12 nm) and tailored macroporosity by converting a double emulsion colloidal template (tens of microns) into solid lipid nanoparticles (hundreds of nanometres). The supported biocatalyst efficiently catalyzes the methanolysis of colza oil.

Evaluation of the diffusion size classifier (meDiSC) for the real-time measurement of particle size and number concentration of nanoaerosols in the range 20-700 nm.

In the frame of assessing exposure to nanostructured particles, the aim of this work is to study the performance of a new device devoted to the real-time measurement of nanostructured aerosol: the meDiSC (Diffusion Size Classifier, Matter Engineering, Switzerland). This instrument is based on unipolar diffusion charging of particles which are then collected successively in diffusion and filtration stages. From currents measured in these stages, the instrument is capable of determining aerosol mean size and number concentration. These data were compared to reference measurements regarding monodisperse aerosols in a range from 20 to 700 nm; the relative biases were found unsatisfying. This led us to investigate the principle of the instrument. Consequently, the charging law of the diffusion charger was experimentally established, as well as the calibration curve allowing the determination of the mean size of the particles. The latter analysis was completed by a model based on diffusion theory. Our results indicate the possibility to improve the range of size measurement up to 350 nm. Measured particle size and number concentration were also used to calculate geometric surface-area concentration; the experimental data were compared to a reference calculated surface-area concentration. The results demonstrate the possibility to evaluate this parameter within acceptable uncertainty. In a second step, the meDiSC was challenged with polydisperse aerosols. It was observed that meDiSC overestimates particle size by a factor 1.7, while particle number concentrations are found within ±40% of the reference. The model applied to polydisperse aerosols indicates that polydispersity little influences particle size up to 300 nm while geometric standard deviation remains below 1.7.