Diagnosis and prediction of early-stage Johne's disease (MAP) in cattle to enable improved sustainability of agricultural protein production

MI：RNA有限公司是一家兽医诊断公司，拥有独特的、正在申请专利的生物标记物检测技术。这个项目建立在我们成功的、最初由Innovate UK资助的初步试验的基础上，该初步试验展示了我们的技术在乳制品和牛肉企业中检测早期约翰氏病的潜力。约翰氏病导致受影响牛的产奶量和体重减轻显著减少，并增加了受影响动物产生的温室气体。因此，改进的早期疾病检测将使该部门受益，生产力提高，经济损失减轻，并有助于实现可持续的、碳中性的商业模式。该项目将把MI：RNA创新与SRUC内部同事的研究专业知识结合起来。组建的团队将与我们在数字乳品链和CIEL网络中的合作者招募的英国农场合作，从那里获取样本和数据，为这些企业提供量身定制的投入和指导，直接受益。额外的寿命数据将来自存储的样本库。CIEL市场研究研讨会将涵盖商业前景，并帮助定制产品以满足生产商的需求。项目阶段和目标：第一阶段：将与SRUC研究和兽医服务合作，使用更多健康和受感染的牛血清样本来增强当前的初步数据。这使我们能够成熟人工智能模型。此外，还将评估和优化牛奶和尿液的混合样品和替代样品介质的准确性。第二阶段：将建立早期疾病检测的准确性和敏感性。这将通过使用我们的专业研究合作者(包括荷兰瓦格宁根大学和SRUC优质牛健康计划)提供的纵向Johne病样本来测试增强的AI模型来实现。这使得可以用预测数据进行建模，并在疾病的每个阶段建立测试准确性。阶段3：将在现实生活环境中测试最终模型。这将涉及与数字乳品连锁店(英格兰西北部)和CIEL网络(英国)连接的英国农场的工作。在这项广泛的试验中，我们将接收和处理来自参与农场的样品，优化样品处理和处理，并直接将我们的测试与现有解决方案进行比较。这些试验的结果将在同行评议的学术期刊上公开发布，我们将最终确定下一阶段的研究和开发目标。这将直接进入我们将产品推向市场的商业化计划，对农业蛋白质生产部门产生直接和积极的影响。

MI:RNA Ltd is a veterinary diagnostics company with a unique, patent pending, biomarker testing technology. This project builds upon our successful, initial Innovate UK funded preliminary trial which demonstrated the potential of our technology to detect early-stage Johne's disease in dairy and beef enterprises. Johne's disease leads to a significant reduction in milk yields and weight loss in affected cattle, as well as increasing the greenhouse gas production from animals affected. Consequently, improved early disease detection will benefit the sector with increased productivity, mitigation of economic losses and assistance in achieving a sustainable, carbon neutral business model.This project will combine MI:RNA innovation with the research expertise of colleagues within SRUC. The assembled team will work with English farms recruited by our collaborators in the Digital Dairy Chain and CIEL network, from which samples and data will be sourced, directly benefitting these enterprises with tailored input and guidance. Additional longevity data will be sourced from stored sample banks. CIEL market research workshops will scope the commercial landscape and help tailor the product to the producers' needs.Project phases and goals:Phase 1: The current preliminary data will be enhanced with further healthy and infected cattle serum samples in collaboration with SRUC research and veterinary services. This allows us to mature the AI model. Additionally, the accuracy of pooled samples and alternative sample mediums of milk and urine will be assessed and optimised.Phase 2: The accuracy and sensitivity of early disease detection will be established. This will be achieved through trialling the enhanced AI model with longitudinal Johne's disease samples from our specialist research collaborators including the University of Wageningen in the Netherlands and SRUC premium cattle health schemes. This allows modelling with predictive data and establishment of test accuracy at each stage of disease.Phase 3: The finalised model will be tested in a real-life setting. This will involve work with English farms linked with Digital Dairy Chain (NW England) and CIEL network (UK). In this extensive trial, we will receive and process samples from participating farms, optimize sample handling and processing and directly compare our test to existing solutions.The outcomes of these trials will be released publicly in peer-reviewed academic journals, and we will finalise our next stage research and development objectives. This will feed directly into our commercialisation plan to make the product available to the market, directly and positively impacting the agricultural protein production sector.