Abstract: Objective：Exploring the potential relationship between Alzheimer’s disease （AD） and exosomal ceRNA regulatory network to provide a basis for clinical treatment and research targets. Methods：Datas were downloaded in the Gene Expression Omnibus database （GEO）. Then the differentially expressed genes （DEGs） and differentially expressed miRNAs from AD patients and healthy controls were screened to identify biomarkers of AD. DAVID used to carry out functional enrichment analysis of gene ontology （GO）. Kyoto Encyclopedia of Genes and Genomes （KEGG） was used to performed signal pathway analysis on DEGs pathway analysis， Cytoscape was used to construct network between DEGs and differentially expressed miRNAs to identify key node genes. Results：683 DEGs （377 downregulated DEGs and 306 upregulated DEGs） were screened，and 90 AD related DEGs enriched in exosomes and cell vesicles were screened as our target DEGs. The study also screened 748 differentially expressed miRNAs （90 downregulated miRNAs and 658 upregulated miRNAs） and 186 extracellular vesicle miRNAs （147 upregulated miRNAs and 39 downregulated miRNAs）. The database was used to predict the targeting relationship between these miRNAs and target DEGs，the targeting relationship between lncRNA and miRNA，and the targeting relationship between circRNA and miRNA. The lncRNAmiRNA- mRNA and circRNA-miRNA-mRNA ceRNA regulatory networks were constructed， and the important role of some results in AD disease was emphatically discussed. Conclusion： These results indicated that the occurrence of AD is the result of the synergistic action of multiple interacting genes and non coding RNAs. The data of this study provides a new perspective and analysis for the exosomal ceRNA network related to AD.

Key words: Alzheimer’s disease, exosomes, mRNA, miRNA, lncRNA, circRNA, ceRNA