Dataset of AD and normal aging in the hippocampus

Alzheimer's disease (AD) is the most common type of dementia in the elderly, characterized by irreversible degenerative memory, language, learning, and other cognitive impairments. It is estimated that nearly 500,000 new cases of AD, which is the fifth-leading cause of death for those 65 and older in the United States in 2016. AD brings immense suffering and heavy financial burdens. However, few therapeutic strategies are available to prevent or cure AD due to complex pathogenesis. Due to the high morbidity and mortality of AD, revealing its causes and potential pathogenesis, identifying molecular biomarkers for the early diagnosis, prevention, and treatment are a vital event. However, existing studies have shown that Tau, amyloid-β (Aβ) and APOE play important roles in the pathogenesis of AD, but the above-mentioned aspects as a targeted treatment have not achieved good results. It is imperative in the search for hub gene and pathways in AD. Thus, we extracted mRNA expression data with AD and normal aging in the same tissue and used an integrative network-based method for combining transcriptomic and protein-protein interaction data to find differentially expressed genes (DEGs) and pathways that may reflect key biological processes in AD.