Multi- omics Approach-Based Autophagy Pathway Analysis in Alzheimer ’s Disease

Abstract

Autophagy, as an important cellular protective mechanism, is closely associated with the occurrence and progression of neurode- generative diseases  such as Alzheimer’s disease.  However, the  specific mechanisms underlying autophagy in neurodegenerative diseases remain unclear, and there are  still many unknowns regarding its detailed regulation and involvement mechanisms.  In this study, we  aimed to use  a multi-omics bioinformatics  approach to integrate large-scale transcriptomic  data  and identify a  series of autophagy key genes, namely CDKN2A, CXCR4, and IFNG, whose expression levels significantly differ between disease patients and normal controls.  Additionally,  single-cell  omics  data will be  supplemented to further investigate these findings.  Our goal is to provide important clues for unraveling the pathogenesis of Alzheimer’s disease and potentially identify novel targets for future therapeutics and diagnostics.  Furthermore, by incorporating Mendelian randomization analysis, we will explore the causal relationships between vascular inflammation, depression , and mood fluctuations with Alzheimer’s disease to provide insights into the  associations among these related diseases and offer a theoretical basis  and clinical application value for their treatment and prevention