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

诊断和预测牛的早期约尼氏病 (MAP)，以提高农业蛋白质生产的可持续性

• 批准号: 10052623
• 金额: $ 50.44万
• 依托单位: MI:RNA LTD
• 依托单位国家: 英国
• 项目类别: Collaborative R&D
• 财政年份: 2023
• 资助国家: 英国
• 起止时间: 2023 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=10052623
• 关键词: Diagnosis; prediction; early; stage; Johne

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.

MI：RNA Ltd是一家兽医诊断公司，具有独特的专利，生物标志物测试技术。该项目建立在我们成功的最初创新的英国资助初步试验的基础上，该试验证明了我们技术在乳制品和牛肉企业中发现早期约翰氏病的潜力。约翰氏病可显着降低牛奶产量和受影响的牛的体重减轻，并增加受影响动物的温室气体产量。因此，改善的早期疾病检测将通过提高生产率，缓解经济损失和实现可持续的碳中性商业模式的帮助而受益。该项目将结合MI：RNA创新与SRUC同事的研究专业知识相结合。组装团队将与我们的合作者在数字乳业链和Ciel Network中招募的英语农场合作，从中可以从中获取样品和数据，并通过量身定制的投入和指导直接使这些企业受益匪浅。额外的寿命数据将来自存储的样本库。 CIEL市场研究研讨会将范围范围内的商业环境，并帮助定制产品，以适应生产者的需求。项目阶段和目标：第1阶段：通过与SRUC研究和兽医服务合作的进一步健康和受感染的牛血清样本，可以增强当前的初步数据。这使我们能够成熟AI模型。此外，将评估和优化综合样品和牛奶和尿液的替代样品培养基的准确性。期2：将建立早期疾病检测的准确性和敏感性。这将通过通过我们的专业研究合作者的纵向Johne病样本来试验增强的AI模型，包括荷兰的瓦格宁根和SRUC Premium Cattle Health计划。这允许在疾病的每个阶段使用预测数据和测试准确性建立建模。第3期：最终模型将在现实生活中进行测试。这将涉及与与数字乳制品连锁店（NW England）和Ciel Network（英国）联系的英国农场的工作。在这项广泛的试验中，我们将从参与的农场中接收和处理样本，优化样本处理和处理，并将我们的测试与现有解决方案直接进行比较。这些试验的结果将在经过同行评审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发展目标。这将直接介绍我们的商业化计划，以使产品可直接且积极地影响农业蛋白质生产部门。