Sex-specific differences in immunity and infection: an integrative approach

免疫和感染方面的性别差异：综合方法

• 批准号: 453860988
• 负责人: Professor Dr. Stefan Bonn
• 金额: --
• 依托单位: Institut für Medizinische Systembiologie
• 依托单位国家: 德国
• 项目类别: Research Units
• 资助国家: 德国
• 项目状态: 未结题
• 来源: https://gepris.dfg.de/gepris/projekt/453860988?language=en
• 关键词: Sex; specific; differences; immunity; infection

A growing amount of evidence suggests that immune reaction to challenge is strongly influenced by the sex of the individual. We hypothesize that the observable sex bias in neurodegenerative disease onset, prevalence, and progression might be caused or exacerbated by sex-specific differences of brain immune cells. In this project, we will investigate sex-specific immunosenescence in the healthy brain and derive potential implications for the observed sex biases in neurodegeneration (objective 1). Another fundamental assumption of this project is that the integration of sex differences in immunology across data types and diseases should yield novel insights into sex-specific pathophysiology. It is our second aim (objectives 2 & 3) we will build a semantic integration platform for the interactive querying, visualization, and analysis of sex-specific immune differences across organs, disease, model organism, and treatment. This platform will enable researchers of the RU 5068 and the global research community to easily access and analyse data according to FAIR principles. The subsequent integrative analysis of this data will yield fundamental insights into common and distinct central sex-specific regulatory mechanisms of the immune system, providing insights into actionable molecules, pathways, and cell types (objective 4).

越来越多的证据表明，个体对攻击的免疫反应受到性别的强烈影响。我们假设，神经退行性疾病的发病，患病率和进展中可观察到的性别偏见可能是由脑免疫细胞的性别特异性差异引起或加剧的。在这个项目中，我们将研究健康大脑中的性别特异性免疫衰老，并为观察到的神经变性中的性别偏见（目标1）得出潜在的影响。该项目的另一个基本假设是，将免疫学中的性别差异整合到不同的数据类型和疾病中，应该会产生对性别特异性病理生理学的新见解。这是我们的第二个目标（目标2和3），我们将建立一个语义集成平台，用于跨器官，疾病，模式生物和治疗的性别特异性免疫差异的交互式查询，可视化和分析。该平台将使RU 5068和全球研究界的研究人员能够根据FAIR原则轻松访问和分析数据。随后对这些数据的综合分析将产生对免疫系统常见和独特的中心性别特异性调节机制的基本见解，提供对可操作分子，途径和细胞类型的见解（目标4）。