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"ANIMAL DISEASE"
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Framing animals as epidemic villains : histories of non-human disease vectors
This book takes a historical and anthropological approach to understanding how non-human hosts and vectors of diseases are understood, at a time when emerging infectious diseases are one of the central concerns of global health. The volume critically examines the ways in which animals have come to be framed as 'epidemic villains' since the turn of the nineteenth century. Providing epistemological and social histories of non-human epidemic blame, as well as ethnographic perspectives on its recent manifestations, the essays explore this cornerstone of modern epidemiology and public health alongside its continuing importance in today's world. Covering diverse regions, the book argues that framing animals as spreaders and reservoirs of infectious diseases - from plague to rabies to Ebola - is an integral aspect not only to scientific breakthroughs but also to the ideological and biopolitical apparatus of modern medicine. As the first book to consider the impact of the image of non-human disease hosts and vectors on medicine and public health, it offers a major contribution to our understanding of human-animal interaction under the shadow of global epidemic threat.
Book
A pan-European epidemiological study reveals honey bee colony survival depends on beekeeper education and disease control
Reports of honey bee population decline has spurred many national efforts to understand the extent of the problem and to identify causative or associated factors. However, our collective understanding of the factors has been hampered by a lack of joined up trans-national effort. Moreover, the impacts of beekeeper knowledge and beekeeping management practices have often been overlooked, despite honey bees being a managed pollinator. Here, we established a standardised active monitoring network for 5 798 apiaries over two consecutive years to quantify honey bee colony mortality across 17 European countries. Our data demonstrate that overwinter losses ranged between 2% and 32%, and that high summer losses were likely to follow high winter losses. Multivariate Poisson regression models revealed that hobbyist beekeepers with small apiaries and little experience in beekeeping had double the winter mortality rate when compared to professional beekeepers. Furthermore, honey bees kept by professional beekeepers never showed signs of disease, unlike apiaries from hobbyist beekeepers that had symptoms of bacterial infection and heavy Varroa infestation. Our data highlight beekeeper background and apicultural practices as major drivers of honey bee colony losses. The benefits of conducting trans-national monitoring schemes and improving beekeeper training are discussed.
Journal Article
Brain tyrosinase overexpression implicates age-dependent neuromelanin production in Parkinson’s disease pathogenesis
In Parkinson’s disease (PD) there is a selective degeneration of neuromelanin-containing neurons, especially substantia nigra dopaminergic neurons. In humans, neuromelanin accumulates with age, the latter being the main risk factor for PD. The contribution of neuromelanin to PD pathogenesis remains unknown because, unlike humans, common laboratory animals lack neuromelanin. Synthesis of peripheral melanins is mediated by tyrosinase, an enzyme also present at low levels in the brain. Here we report that overexpression of human tyrosinase in rat substantia nigra results in age-dependent production of human-like neuromelanin within nigral dopaminergic neurons, up to levels reached in elderly humans. In these animals, intracellular neuromelanin accumulation above a specific threshold is associated to an age-dependent PD phenotype, including hypokinesia, Lewy body-like formation and nigrostriatal neurodegeneration. Enhancing lysosomal proteostasis reduces intracellular neuromelanin and prevents neurodegeneration in tyrosinase-overexpressing animals. Our results suggest that intracellular neuromelanin levels may set the threshold for the initiation of PD.
It is unclear if neuromelanin plays a role in Parkinson’s disease pathogenesis since common laboratory animals lack this pigment. Authors show here that overexpression of human tyrosinase in the substantia nigra of rats resulted in an age-dependent production of human-like neuromelanin within nigral dopaminergic neurons and is associated with a Parkinson’s disease phenotype when allowed to accumulate above a specific threshold.
Journal Article
Facets of Theiler’s Murine Encephalomyelitis Virus-Induced Diseases: An Update
Theiler’s murine encephalomyelitis virus (TMEV), a naturally occurring, enteric pathogen of mice is a Cardiovirus of the Picornaviridae family. Low neurovirulent TMEV strains such as BeAn cause a severe demyelinating disease in susceptible SJL mice following intracerebral infection. Furthermore, TMEV infections of C57BL/6 mice cause acute polioencephalitis initiating a process of epileptogenesis that results in spontaneous recurrent epileptic seizures in approximately 50% of affected mice. Moreover, C3H mice develop cardiac lesions after an intraperitoneal high-dose application of TMEV. Consequently, TMEV-induced diseases are widely used as animal models for multiple sclerosis, epilepsy, and myocarditis. The present review summarizes morphological lesions and pathogenic mechanisms triggered by TMEV with a special focus on the development of hippocampal degeneration and seizures in C57BL/6 mice as well as demyelination in the spinal cord in SJL mice. Furthermore, a detailed description of innate and adaptive immune responses is given. TMEV studies provide novel insights into the complexity of organ- and mouse strain-specific immunopathology and help to identify factors critical for virus persistence.
Journal Article
Parallel multi-criteria decision analysis for sub-national prioritization of zoonoses and animal diseases in Africa: The case of Cameroon
The use of multi-criteria decision analysis (MCDA) for disease prioritization at the sub-national level in sub-Sahara Africa (SSA) is rare. In this research, we contextualized MCDA for parallel prioritization of endemic zoonoses and animal diseases in The Adamawa and North regions of Cameroon. MCDA was associated to categorical principal component analysis (CATPCA), and two-step cluster analysis. Six and seven domains made of 17 and 19 criteria (out of 70) respectively were selected by CATPCA for the prioritization of zoonoses and animal diseases, respectively. The most influencing domains were “public health” for zoonoses and “control and prevention” for animal diseases. Twenty-seven zoonoses and 40 animal diseases were ranked and grouped in three clusters. Sensitivity analysis resulted in high correlation between complete models and reduced models showing the robustness of the simplification processes. The tool used in this study can be applied to prioritize endemic zoonoses and transboundary animal diseases in SSA at the sub-national level and upscaled at the national and regional levels. The relevance of MCDA is high because of its contextualization process and participatory nature enabling better operationalization of disease prioritization outcomes in the context of African countries or other low and middle-income countries.
Journal Article
Fatal swine acute diarrhoea syndrome caused by an HKU2-related coronavirus of bat origin
Cross-species transmission of viruses from wildlife animal reservoirs poses a marked threat to human and animal health
1
. Bats have been recognized as one of the most important reservoirs for emerging viruses and the transmission of a coronavirus that originated in bats to humans via intermediate hosts was responsible for the high-impact emerging zoonosis, severe acute respiratory syndrome (SARS)
2
,
3
,
4
,
5
,
6
,
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,
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,
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10
. Here we provide virological, epidemiological, evolutionary and experimental evidence that a novel HKU2-related bat coronavirus, swine acute diarrhoea syndrome coronavirus (SADS-CoV), is the aetiological agent that was responsible for a large-scale outbreak of fatal disease in pigs in China that has caused the death of 24,693 piglets across four farms. Notably, the outbreak began in Guangdong province in the vicinity of the origin of the SARS pandemic. Furthermore, we identified SADS-related CoVs with 96–98% sequence identity in 9.8% (58 out of 591) of anal swabs collected from bats in Guangdong province during 2013–2016, predominantly in horseshoe bats (
Rhinolophus
spp.) that are known reservoirs of SARS-related CoVs. We found that there were striking similarities between the SADS and SARS outbreaks in geographical, temporal, ecological and aetiological settings. This study highlights the importance of identifying coronavirus diversity and distribution in bats to mitigate future outbreaks that could threaten livestock, public health and economic growth.
Analysis of viral samples from deceased piglets shows that a bat coronavirus was responsible for an outbreak of fatal disease in China and highlights the importance of the identification of coronavirus diversity and distribution in bats in order to mitigate future outbreaks of disease.
Journal Article
Disease mortality in domesticated animals is predicted by host evolutionary relationships
Infectious diseases of domesticated animals impact human well-being via food insecurity, loss of livelihoods, and human infections. While much research has focused on parasites that infect single host species, most parasites of domesticated mammals infect multiple species. The impact of multihost parasites varies across hosts; some rarely result in death, whereas others are nearly always fatal. Despite their high ecological and societal costs, we currently lack theory for predicting the lethality of multihost parasites. Here, using a global dataset of >4,000 case-fatality rates for 65 infectious diseases (caused by microparasites and macroparasites) and 12 domesticated host species, we show that the average evolutionary distance from an infected host to other mammal host species is a strong predictor of disease-induced mortality. We find that as parasites infect species outside of their documented phylogenetic host range, they are more likely to result in lethal infections, with the odds of death doubling for each additional 10 million years of evolutionary distance. Our results for domesticated animal diseases reveal patterns in the evolution of highly lethal parasites that are difficult to observe in the wild and further suggest that the severity of infectious diseases may be predicted from evolutionary relationships among hosts.
Journal Article
Roll-out of the Global Burden of Animal Diseases programme
With continuing population growth and rising demand for food, livestock and aquaculture are integral to improving food and nutrition security, health, and livelihoods.1 These positive contributions are being undermined, however, by the negative effects of livestock production and consumption on society and the environment—eg, production of greenhouse gases, environmental degradation,2 emergence of zoonotic diseases,3 and antimicrobial resistance.4 Furthermore, excessive consumption of some livestock products is linked to risk of non-communicable diseases.5 There is little evidence available for addressing these concerns through improving livestock production and animal health systems, and no systematic approach to understanding global livestock populations and the resources invested in animals by societies globally. In 2018, the Global Burden of Animal Diseases (GBADs) programme was launched to address these vital issues.6 Since that time, we have made progress in developing a comprehensive framework for characterising livestock populations and assessing the value invested in livestock, as well as a system to capture net losses in production and societal expenditure on animal health issues (figure). There is an urgent need to develop intelligence systems able to improve decision making for people managing livestock to limit the environmental consequences and public health risks related to livestock production and consumption, while also helping people across the world access high-quality protein and micronutrients, produced in a humane way.
Journal Article
Middle East respiratory syndrome coronavirus (MERS-CoV) causes transient lower respiratory tract infection in rhesus macaques
In 2012, a novel betacoronavirus, designated Middle East respiratory syndrome coronavirus or MERS-CoV and associated with severe respiratory disease in humans, emerged in the Arabian Peninsula. To date, 108 human cases have been reported, including cases of human-to-human transmission. The availability of an animal disease model is essential for understanding pathogenesis and developing effective countermeasures. Upon a combination of intratracheal, ocular, oral, and intranasal inoculation with 7 × 10 ⁶ 50% tissue culture infectious dose of the MERS-CoV isolate HCoV-EMC/2012, rhesus macaques developed a transient lower respiratory tract infection. Clinical signs, virus shedding, virus replication in respiratory tissues, gene expression, and cytokine and chemokine profiles peaked early in infection and decreased over time. MERS-CoV caused a multifocal, mild to marked interstitial pneumonia, with virus replication occurring mainly in alveolar pneumocytes. This tropism of MERS-CoV for the lower respiratory tract may explain the severity of the disease observed in humans and the, up to now, limited human-to-human transmission.
Journal Article
BOARD INVITED REVIEW: Prospects for improving management of animal disease introductions using disease-dynamic models
Management and policy decisions are continually made to mitigate disease introductions in animal populations despite often limited surveillance data or knowledge of disease transmission processes. Science-based management is broadly recognized as leading to more effective decisions yet application of models to actively guide disease surveillance and mitigate risks remains limited. Disease-dynamic models are an efficient method of providing information for management decisions because of their ability to integrate and evaluate multiple, complex processes simultaneously while accounting for uncertainty common in animal diseases. Here we review disease introduction pathways and transmission processes crucial for informing disease management and models at the interface of domestic animals and wildlife. We describe how disease transmission models can improve disease management and present a conceptual framework for integrating disease models into the decision process using adaptive management principles. We apply our framework to a case study of African swine fever virus in wild and domestic swine to demonstrate how disease-dynamic models can improve mitigation of introduction risk. We also identify opportunities to improve the application of disease models to support decision-making to manage disease at the interface of domestic and wild animals. First, scientists must focus on objective-driven models providing practical predictions that are useful to those managing disease. In order for practical model predictions to be incorporated into disease management a recognition that modeling is a means to improve management and outcomes is important. This will be most successful when done in a cross-disciplinary environment that includes scientists and decision-makers representing wildlife and domestic animal health. Lastly, including economic principles of value-of-information and cost-benefit analysis in disease-dynamic models can facilitate more efficient management decisions and improve communication of model forecasts. Integration of disease-dynamic models into management and decision-making processes is expected to improve surveillance systems, risk mitigations, outbreak preparedness, and outbreak response activities.
Journal Article