Repurposing the open access malaria box reveals compounds with activity against Tritrichomonas foetus trophozoites – PubMed

Abstract:  The protozoan parasite Tritrichomonas foetus causes early embryonic death in cattle which results in severe economic loss. In the United States, there are no drugs are approved for treatment of this pathogen. In this study, we evaluated in vitro anti-protozoal effects of compounds from an open access chemical library against T. foetus trophozoites. An initial high-throughput screen identified 16 compounds of interest. Further investigation revealed 12 compounds that inhibited parasite growth and 4 compounds with lethal effects. For lethal compounds, dose-response curves were constructed and the LD50 was calculated for laboratory and field strains of T. foetus. Our experiments revealed chemical scaffolds that were parasiticidal in the micromolar range, and these scaffolds provide a starting point for drug discovery efforts. Further investigation is still needed to investigate suitability of these scaffolds and related compounds in food animals. Importantly, open access chemical libraries can be useful for identifying compounds with activity against protozoan pathogens of veterinary importance.

 

IDEAL, the Infectious Diseases of East African Livestock Project Open Access Database and Biobank – PubMed

Abstract:  The Infectious Diseases of East African Livestock (IDEAL) project was a longitudinal cohort study of calf health which was conducted in Western Kenya between 2007-2010. A total of 548 East African shorthorn zebu calves were recruited at birth and followed at least every 5 weeks during the first year of life. Comprehensive clinical and epidemiological data, blood and tissue samples were collected at every visit. These samples were screened for over 100 different pathogens or infectious exposures, using a range of diagnostic methods. This manuscript describes this comprehensive dataset and bio-repository, and how to access it through a single online site ( http://data.ctlgh.org/ideal/ ). This provides extensive filtering and searching capabilities. These data are useful to illustrate outcomes of multiple infections on health, investigate patterns of morbidity and mortality due to parasite infections, and to study genotypic determinants of immunity and disease.

Open Data – is it worth it for everyone? | Allan Williamson

“So last night’s open data forum made me think a little bit. Open data seems great and even almost imperative for fields with large volumes of data being collected, such as bioinformatics, social sciences, geography and population medicine. Access to large volumes of sanitized and known valid data could be a huge boon to researchers looking at similar endpoints to published studies or even just for highlighting interesting and different cues hidden within that data that researchers may have missed.

That’s all well and good for larger fields, but what about smaller ones? Many, maybe even most, researchers are working on a small scale, with small sample sizes and maybe even just collecting a limited amount of data. If all you have is a few Western blots, or a few physiological variables, when does developing the infrastructure to store and make available that data become worth it? In totality, if enough researchers make their data available it may be worth it because you might be able to collect a bunch of samples and through meta-analysis start drawing connections overall where individual studies may have been underpowered or simply not looking for a certain variable, but that’s a rather tenuous possibility at the moment.

For my field, I’m currently unconvinced. There’s too much inconsistency inherent in the systems we look at even on a population level to make it feasible to start pooling data, and the development of an infrastructure necessary to support open access to data likely exceeds the limited budget most researchers have. I’m curious what others think about their fields though”