Alzheimer's disease （AD） is currently the most common neurodegenerative disorder characterized by insidious onset and slow progression， which has seriously endangered the physical and mental health of the elderly. It is therefore very important to carry out the early diagnosis and active prevention and treatment. Biomarkers are essential for its diagnosis. Looking for ideal biomarkers is helpful for early identification of this disease. The prevention and treatment of AD with traditional Chinese medicine （TCM） has always been a hot spot in scientific research due to good safety and small side effects. Proteomics is an advanced omics technology that enables the identification and characterization of proteins. Its high-throughput， dynamic， and comprehensive characteristics coincide with the concept of holism emphasized in TCM diagnosis and treatment， which makes proteomics suitable for identifying biomarkers with diagnostic potential， objectifying TCM syndrome differentiation and treatment， and developing new Chinese medicinal prescriptions for precise and targeted treatment. Although the proteomics technology is becoming increasingly mature， it still faces challenges in the diagnosis and treatment of AD. There exist such shortcomings as high heterogeneity and poor reproducibility of protein omics results， requirement for the combination with other advanced omics technologies， and high sequencing cost. In the future， the protein omics technology should be constantly updated and optimized to boost precision medicine， disease prevention， and drug research and development. This paper retrieved related articles from Pubmed， China National Knowledge Infrastructure （CNKI） and reviewed the application of proteomics in the early diagnosis of AD and its prevention and treatment with TCM in recent years， in order to provide reference for the in-depth study of AD diagnosis as well as its prevention and treatment with TCM.