Imminent Disease Prediction and Prevention at the Environment Host Interface (IMMEDIATE)

通过环境主机接口进行迫在眉睫的疾病预测和预防（立即）

• 批准号: 10058101
• 金额: $ 105.88万
• 依托单位: IMPERIAL COLLEGE LONDON
• 依托单位国家: 英国
• 项目类别: EU-Funded
• 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=10058101
• 关键词: Imminent; Disease; Prediction; Prevention; Environment

IMMEDIATE aims to investigate and explore the diet-microbiome-immunometabolism-axis as a sensor for health-to-disease transition and evaluate strategies to maintain an individual’s well-being. Chronic inflammation is the major root of most diseases. Understanding of this process preceding organ dysfunction or damage and identification of biomarkers in the pre-symptomatic stage and risk but also resilience factors of health-to-disease transition will enable targeted and personalized interventions to prevent irreversible organ damage. Metabolites of gut microbiota are key messengers between diet, microbiota and host, maintaining the balance of pro- and anti-inflammation. Our study takes advantage of cutting-edge omics technologies available within the IMMEDIATE consortium in conjunction with available clinical data and biospecimens from ongoing observational studies, enrolling “healthy” subjects and individualsin the pre-disease stage but with largely distinct environmental and dietary modulators, including a cohort of kidney transplant recipients in whom renal function has been “reset to baseline”. The identification of clinical and omics-derived biomarkers will – by employing AI algorithms - yield a personalized risk / resilience score of chronic inflammation and thus a better prediction of an individual’s risk of transition towards disease. A proof-of-concept intervention study with the anti-inflammatory microbe Akkermansia muciniphila will be conducted to test whether deflections of the microbiome-metabolite-immune axis can be reverted on the biomarker level but also with respect to clinical outcomes and overall well-being. Mobile apps developed by the IMMEDIATE consortium in collaboration with patient organizations tracking numerous lifestyle-related measures and providing guidance and feedback on these aspects will empower individuals to adopt and integrate these knowledge-based health interventions into their own lives, hereby selfmanaging their own health.

IMMEDIATE旨在调查和探索饮食-微生物组-免疫代谢轴作为健康到疾病转变的传感器，并评估维持个人健康的策略。慢性炎症是大多数疾病的主要根源。了解器官功能障碍或损伤之前的这一过程，并确定症状前阶段的生物标志物和风险，以及健康到疾病转变的弹性因素，将使有针对性和个性化的干预措施，以防止不可逆的器官损伤。肠道微生物群代谢产物是饮食、微生物群和宿主之间的关键信使，维持促炎和抗炎的平衡。我们的研究利用了IMMEDIATE联盟中可用的尖端组学技术，结合正在进行的观察性研究的可用临床数据和生物标本，招募了“健康”受试者和疾病前阶段的个体，但具有很大程度上不同的环境和饮食调节剂，包括肾功能已“重置为基线”的肾移植受者队列。通过采用AI算法，临床和组学衍生的生物标志物的鉴定将产生慢性炎症的个性化风险/弹性评分，从而更好地预测个体向疾病转变的风险。将使用抗炎微生物Akkermansia muciniphila进行概念验证干预研究，以测试微生物组-代谢物-免疫轴的偏转是否可以在生物标志物水平上逆转，但也可以在临床结局和整体健康方面逆转。由IMMEDIATE联盟与患者组织合作开发的移动的应用程序跟踪许多与生活方式相关的措施，并就这些方面提供指导和反馈，将使个人能够采用这些基于知识的健康干预措施并将其融入自己的生活，从而自我管理自己的健康。