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，拥有独特的生物标志物检测技术，正在申请专利。该项目建立在我们成功的基础上，最初的Innovate UK资助的初步试验证明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的牛的产奶量显著减少和体重减轻，以及增加受影响动物的温室气体产量。因此，改进的早期疾病检测将使该部门受益，提高生产力，减轻经济损失，并帮助实现可持续的碳中和商业模式。该项目将联合收割机MI：RNA创新与SRUC同事的研究专业知识相结合。组建的团队将与我们在数字乳制品链和CIEL网络中的合作者招募的英国农场合作，从中获取样本和数据，通过量身定制的输入和指导直接使这些企业受益。其他寿命数据将来自储存的样本库。CIEL市场研究研讨会将确定商业前景，并帮助生产商定制产品。项目阶段和目标：第一阶段：与SRUC研究和兽医服务部门合作，通过进一步的健康和感染牛血清样本，加强目前的初步数据。这使我们能够成熟AI模型。此外，还将评估和优化牛奶和尿液的混合样本和替代样本介质的准确性。第二阶段：建立早期疾病检测的准确性和灵敏度。这将通过使用来自我们的专业研究合作者（包括荷兰瓦赫宁根大学和SRUC优质牛健康计划）的纵向约翰氏病样本来试验增强的AI模型来实现。这允许使用预测数据建模，并在疾病的每个阶段建立测试准确性。第3阶段：最终模型将在现实生活中进行测试。这将涉及与数字乳制品连锁店（英格兰西北部）和CIEL网络（英国）联系的英国农场的合作。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本，优化样本处理和加工，并将我们的测试与现有解决方案进行直接比较。这些试验的结果将在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发目标。这将直接纳入我们的商业化计划，使产品能够进入市场，直接和积极地影响农业蛋白质生产领域。