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Katzer, F.

Publications and source records attributed to Katzer, F..

3 recordsLinked to original sources

Tissue atlas of Cryptosporidium parvum infection reveals contrasts between the natural neonatal calf model and laboratory mouse models

Cryptosporidium is an apicomplexan parasite that causes diarrhoeal disease. The species C. parvum is zoonotic and causes significant morbidity and mortality for both humans and farm animals; most commonly, calves and lambs. A One Health approach that integrates human, animal and environmental health perspectives is required to tackle this disease. Current treatments are limited and ineffective, meaning there is an urgent need to develop new anti-cryptosporidials both for human and animal health. The neonatal calf model is a natural model of infection employed as a tool for drug discovery or generating parasite material. However, the model is seldom utilised to investigate host-parasite interaction. Fundamental information about this model, including the location of the parasite in the gut, is lacking. It is also unclear how the more commonly utilised immunocompromised mouse models of cryptosporidiosis compare to the neonatal calf model. To address this, we established an acute, moderate experimental C. parvum infection in neonatal calves. Using transgenic parasites, we created a tissue atlas of infection for neonatal calf gut and immunocompromised mouse models and mapped and quantified infection to draw robust comparisons between models. Cryptosporidium infection was observed at high levels throughout the neonatal calf gastrointestinal tract and was not limited to the ileal-cecal junction, as previously suggested. This infection pattern is most similar to the acute cryptosporidiosis mouse model, interferon-gamma knockout mice (IFN{gamma}KO). Infection with transgenic parasites allowed us to perform in vivo and ex vivo tissue imaging of the chronic cryptosporidiosis mouse model, NOD SCID Gamma KO (NSG) mice. In contrast, in NSG mice infection is low in the small intestines and highest in the caecum and colon. Understanding the true distribution of infection in the gastrointestinal tract of these three key animal models provides new perspectives on how to interpret and design drug efficacy studies and provides new insight into host-pathogen interaction.

microbiology↗

The value of livestock abortion surveillance in Tanzania: identifying disease priorities and informing interventions

BackgroundLack of reliable data on the aetiology of livestock diseases, especially in Africa, is a major factor constraining the design of effective livestock health interventions to improve livelihoods, food security and public health. RationaleLivestock abortion is an important disease syndrome that affects productivity and livestock economies, and poses risks to public health. Worldwide, several pathogens are associated with livestock abortions but across Africa livestock disease surveillance data rarely include information from abortion events, little is known about the aetiology and impacts of livestock abortions, and data are not available to inform prioritisation of disease interventions. MethodsThis paper describes outcomes from a surveillance platform that was set up in 15 wards in northern Tanzania spanning pastoral, agropastoral and smallholder agro-ecological systems to investigate the causes and impacts of livestock abortion. Abortion cases were reported by farmers to Ministry of Livestock and Fisheries livestock field officers and on to investigation teams. The abortion was eligible for inclusion if the research field team or livestock field officer could attend within 72 hours of the event occurring. If so, a field investigation was carried out to collect diagnostic samples from aborted materials and aborting dams and questionnaire data on herd/flock management. Laboratory diagnostic tests were carried out for a range of abortigenic pathogens, and laboratory and questionnaire data analysed to investigate a) determinants of attribution; b) patterns of investigated events, including species and breed affected, previous abortion history and recent stressful events, and the seasonality of cases; c) determinants of reporting, investigation and attribution; (d) cases in which zoonotic pathogens were detected. ResultsOver a two-year period (2017-2019), 215 abortion events in cattle (n=71), sheep (n=44) and goats (n=100) were investigated from 13 of the 15 wards. The number of investigated cases varied widely across wards, with three of the 15 field officers (20%) reporting 70% of investigated cases. Aetiological attribution, achieved for 19.5% of cases through PCR-based diagnostics, was significantly affected by delays in obtaining samples from field investigation. Histopathology proved less useful than PCR diagnostics due to rapid deterioration of field samples. Vaginal swabs from aborting dams provided a practical and sensitive source of diagnostic material for pathogen detection. Discussion / ConclusionLivestock abortion surveillance, even at a small scale and when capturing only a small proportion of events, can generate valuable information on causes of zoonotic disease outbreaks, livestock reproductive losses and can identify important pathogens that are not easily captured through other forms of livestock disease surveillance. This study demonstrated the feasibility of establishing an effective reporting and investigation system that could be implemented across a range of settings, including remote rural areas. This has been achieved through effective engagement of community-based field officers, establishment of practical sample collection protocols and application of molecular diagnostic platforms.

zoology↗

Prospective cohort study reveals unexpected aetiologies of livestock abortion in northern Tanzania

Livestock abortion is an important cause of productivity losses worldwide and many infectious causes of abortion are zoonotic pathogens that impact on human health. Little is known about the relative importance of infectious causes of livestock abortion in Africa, including in subsistence farming communities that are critically dependent on livestock for food, income, and wellbeing. We conducted a prospective cohort study of livestock abortion, supported by cross-sectional serosurveillance, to determine aetiologies of livestock abortions in livestock in Tanzania. This approach generated several important findings including detection of a Rift Valley fever virus outbreak in cattle; high prevalence of C. burnetii infection in livestock; and the first report of Neospora caninum, Toxoplasma gondii, and pestiviruses associated with livestock abortion in Tanzania. Our approach provides a model for abortion surveillance in resource-limited settings. Our findings add substantially to current knowledge in sub-Saharan Africa, providing important evidence from which to prioritise disease interventions.

systems biology↗