The effects of immune-age on immune-response and the molecular mechanisms which drive it

免疫年龄对免疫反应的影响及其驱动的分子机制

• 批准号: 10491680
• 负责人: Shai Shlomo Shen-Orr
• 金额: $ 64.49万
• 依托单位: STANFORD UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-09-21 至 2026-08-31
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10491680
• 关键词: Adaptive Immune System; Adult; Affect; Age; Aging; Algorithms; Antibodies; Antibody Repertoire; Antibody Response; Antibody Specificity; Automobile Driving; Cells; Clinical; Complex; Data; Data Set; Databases; Elderly; Environment; Epigenetic Process; Epitopes; Etiology; Experimental Designs; Gene Expression; Human; Immune; Immune System Diseases; Immune response; Immune system; Immunity; Immunologic Monitoring; Immunologics; In Vitro; Individual; Infection; Inflammatory; Influenza; Influenza vaccination; Knowledge; Lead; Maps; Measures; Modification; Molecular; Outcome; Pattern; Physiological; Play; Positioning Attribute; Process; Recording of previous events; Resolution; Resources; Risk; Role; Sampling; Serology test; Specificity; System; T cell receptor repertoire sequencing; T cell response; T-Lymphocyte; Testing; Time; Translating; Twin Multiple Birth; Vaccination; Vaccines; Variant; World Health; aged; base; cell type; cohort; cytokine; design; environmental change; flu; glycosylation; healthy aging; high dimensionality; immune function; improved; influenza virus vaccine; insight; inter-individual variation; metabolomics; middle age; novel; programs; response; seasonal influenza; vaccination strategy; vaccine response; young adult

PROJECT SUMMARY The immune system is a complex system which continuously changes as it responds to the internal and external environments, making it very difficult to understand the variation between individuals and its functional implications. Our SELA derived trajectory captures the variation in immune-cell composition between individuals, thus describes the conserved cascade of cell compositional changes occurring during healthy aging. An individual’s high-dimensional immune cell composition can be translated into a quantitative measure describing its position along this immune-aging cascade reflecting the immune-age. Individuals’ immune-age alters as they advance at different rates along this patterned trajectory, resulting in high inter-individual variation at baseline. We hypothesize that the immune-aging trajectory is conserved between individuals due to epigenetic cell-specific alterations that are induced through an interaction with common physiological and environmental changes that occur with age. Furthermore, we hypothesize that this the baseline variation in immune-age between individuals has functional implications during immune response, which ultimately may lead to variability in clinical outcome, which is observed for the majority of insults and therapies. Project 1 is designed to enrich and refine our immune age metric by expanding our cohort (adding 40-60 years-old twins) and by measuring in addition immune cell types, factors (cytokines, epigenetic modifications, and metabolomics) found to be in correlation with immune aging. Furthermore, we will identify factors that drive progression along the immune age trajectory. In addition, we will gain comprehensive insight into the way age and immune history affect adaptive (B and T) responses elicited by annual influenza vaccination in the old. Lastly, leveraging the 12+ years of bio-banked SELA samples pre and post seasonal influenza vaccination we will test the hypothesis that molecular immune responses differ as a function of baseline immune-age and decouple immune dynamics that are caused by different vaccine compositions from those that are caused by immune-age. We will combine the latter molecular features correlated with immune age with data on flu specific adaptive responses to obtain, for the first-time comprehensive understanding of vaccine responses in older adults, a risk group for infection. We hope that combining immune-age with B and T flu history, will allow to predict influenza vaccine response from baseline, an unsolved problem of high concern for world health.

项目概要 免疫系统是一个复杂的系统，它随着内部和外部的反应而不断变化。 环境，使得很难理解个体之间的差异及其功能 我们的 SELA 衍生轨迹捕捉了个体之间免疫细胞组成的变化， 因此描述了健康衰老过程中发生的细胞组成变化的保守级联。 个体的高维免疫细胞组成可以转化为描述的定量测量 它在免疫衰老级联中的位置反映了个体的免疫年龄随着年龄的变化而变化。 沿着这个模式化的轨迹以不同的速度前进，导致基线上个体间的巨大差异。 我们认为，由于表观遗传细胞特异性，免疫衰老轨迹在个体之间是保守的。 通过与常见的生理和环境变化相互作用而引起的改变 此外，我们敢于承认这是个体之间免疫年龄的基线差异。 在免疫反应过程中具有功能影响，最终可能导致临床结果的变化， 项目 1 旨在丰富和完善我们的免疫系统。 通过扩大我们的队列（添加 40-60 岁的双胞胎）并另外测量免疫细胞来衡量年龄指标 被发现与免疫相关的类型、因素（细胞因子、表观遗传修饰和代谢组学） 此外，我们还将确定推动免疫年龄轨迹进展的因素。 我们将全面了解年龄和免疫史影响适应性（B 和 T）反应的方式 最后，利用 12 年以上的 SELA 生物库样本。 在季节性流感疫苗接种前后，我们将检验分子免疫反应不同的假设 作为基线免疫年龄的函数，并解耦由不同疫苗引起的免疫动态 我们将结合后一种分子特征。 首次将免疫年龄与流感特异性适应性反应数据相关联 我们希望能够全面了解老年人（感染风险群体）的疫苗反应。 将免疫年龄与 B 型和 T 型流感病史相结合，将能够从基线预测流感疫苗反应， 世界健康高度关注的一个尚未解决的问题。