Integrative Network Biology Approaches to Identify, Characterize and Validate Molecular Subtypes in Alzheimer's Disease

炎症/免疫反应失调已被确定为驱动主要人类疾病的关键因素 如癌症、风湿性关节炎（RA）、2型糖尿病（T2 D）和阿尔茨海默病（AD）。但 缺乏对炎症/免疫反应组分（炎性组）的全面比较研究 在这些疾病中寻找更有效的靶点和治疗方法来对抗多种炎症驱动 疾病这一概念提案旨在系统地研究 使用最先进的多尺度分子网络研究人类主要疾病中的炎症相关通路 整合NIH AMP计划生成的大规模多组学数据集的建模方法， 其他来源该项目不仅将确定数据驱动的签名，网络和炎症的关键驱动因素， 在多种疾病中保守，但也有FDA批准的药物， 多种炎症性疾病。这项拟议中的研究在发现这两种新颖性方面确实具有变革性 涉及炎症和免疫调节失调的主要人类疾病的机制和治疗方法 反应

Dysregulated inflammation/immune response has been identified as a key factor driving major human diseases such as cancer, Rheumatoid Arthritis (RA), Type 2 diabetes (T2D) and Alzheimer's disease (AD). However, there lacks a comprehensive comparative study of the inflammation/immune response components (inflammatome) in those diseases for identifying more effective targets and therapeutics against multiple inflammation driven diseases. This concept proposal aims to systematically investigate the uniqueness and commonality of inflammation related pathways in major human diseases using state-of-the-art multiscale molecular network modeling approaches to integrate large-scale multi-Omics datasets generated by NIH's AMP Programs and other sources. This project will identify not only data driven signatures, networks and key drivers of inflammation conserved across multiple diseases, but also FDA approved drugs that are potentially effective in treating multiple inflammatory diseases. The proposed study is truly transformative in discovering both novel mechanisms and therapeutics for major human diseases which involve dysregulated inflammation and immune response.