(ICF)- IMMPROVE: Immune Memory and Mechanisms of Protection from Vaccines

(ICF)-IMMPROVE：免疫记忆和疫苗保护机制

• 批准号: MR/Y004450/1
• 负责人: Teresa Lambe
• 金额: $ 1091.13万
• 依托单位: University of Oxford
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2024
• 资助国家: 英国
• 起止时间: 2024 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=MR%2FY004450%2F1
• 关键词: ICF; IMMPROVE; Immune; Memory; Mechanisms

The COVID-19 pandemic saw the rapid development and deployment of a range of vaccine platforms. While essential to protect against severe disease, these vaccine platforms need further optimisation to provide long-term and local protection against infection including future variants. This vaccine optimisation requires an improved understanding of how a protective immune response is induced, how it is maintained, and the role of immunity in the nose and the lungs. Building on the experience our consortium amassed during the COVID-19 pandemic, we will answer some of the key outstanding questions in the field:1.MEMORY We will delineate the mechanisms which influence the duration of protective immune responses. Improving understanding of immune memory is critical for the development and deployment of future vaccines with long-lasting protection against both pandemic and endemic pathogens.2. LOCATION We will determine the role of the immune response in the airways, as the entry route for virus, in protection against infection. The aim is to understand if nasally administered vaccines can stop infection and onward transmission, as well as protect against severe disease.3. PROTECTION We will define which aspects of the immune response protect against disease and how to maximise these responses. This will enable vaccine developers to focus on new vaccines that deliver improved protection. 4. DATA There exist large datasets from clinical trials and real-world studies that, if combined with the data from this programme, would generate a unique resource for understanding how vaccines work. To achieve this, we will develop an integrated data structure and open-source computational tools to integrate disparate data and maximise data usefulness.5.IMPACT We will bolster pandemic preparedness by the training and empowerment of future leaders in vaccine development and engaging public understanding of the need for vaccines. Targeting these questions will lead to increased capability for rational, immunologically-driven vaccine development and uptake.

在2019冠状病毒病大流行期间，一系列疫苗平台得到了迅速开发和部署。虽然这些疫苗平台对于预防严重疾病至关重要，但需要进一步优化，以提供长期和局部保护，防止感染，包括未来的变异。这种疫苗优化需要更好地了解保护性免疫反应是如何诱导的，如何维持的，以及免疫在鼻子和肺部的作用。基于我们的联盟在COVID-19大流行期间积累的经验，我们将回答该领域的一些关键悬而未决的问题：我们将描述影响保护性免疫反应持续时间的机制。提高对免疫记忆的理解对于未来疫苗的开发和部署至关重要，这些疫苗可以对大流行和地方性病原体具有持久的保护作用。我们将确定呼吸道中的免疫反应，作为病毒的进入途径，在防止感染方面的作用。目的是了解鼻腔注射疫苗是否可以阻止感染和继续传播，以及防止严重疾病。我们将定义免疫反应的哪些方面可以预防疾病，以及如何最大限度地发挥这些反应。这将使疫苗开发人员能够专注于提供更好保护的新疫苗。4. 现有来自临床试验和现实世界研究的大量数据集，如果与本规划的数据相结合，将为了解疫苗如何起作用产生独特的资源。为了实现这一目标，我们将开发一个集成的数据结构和开源计算工具来集成不同的数据，并最大限度地提高数据的实用性。我们将通过培训和增强疫苗开发领域未来领导人的权能，以及让公众了解疫苗的必要性，来加强大流行的防范工作。针对这些问题将导致提高合理的、免疫驱动的疫苗开发和吸收的能力。