阿尔茨海默病是一种常见的神经变性疾病，临床主要表现为进行性记忆损害和认知功能障碍。然而，阿尔茨海默病的发病分子机制复杂不清，是多种基因和细胞信号传导通路相互作用的结果，且临床上缺乏有效的治疗药物，成为神经科学领域临床治疗的难点。目前，生物信息学在医学中的应用越来越广泛，采用生物信息学分析阿尔茨海默病发病相关基因芯片数据，构建相关基因和细胞信号传导通路的网络图，可系统性分析阿尔茨海默病发病机理，筛选关键信号通路、关键基因、关键酶，可为治疗阿尔茨海默病的药物设计和再利用提供新的视角，将为其治疗提供新的理论依据。

Alzheimer's disease (AD) is a common neurodegenerative disease, the main clinical manifestations of it is progressive memory impairment and cognitive dysfunction. However, the molecular pathogenesis of AD is complex and unclear, is the result of various genes and cellular signaling pathway interactions. Lacking the effective treatment of AD clinically, AD has become difficulty neuroscience clinical treatment. Currently, bioinformatics in medicine is widely applied. Using it to analysis the related gene chip data, construct the related gene and cell signal transduction pathway network diagram of AD, can systematic analysis pathogenesis of AD and screen the key signaling pathway, gene and enzyme, which will provide a new perspective of the drug design and re-use and a new theoretical basis to treat AD.