ObjectiveThis paper aims to systematically summarize the construction methods and characteristics of Alzheimer's disease （AD） animal models， providing a reference for improving AD animal models. MethodsLiterature related to AD animal models published between January 2022 and April 2025 was retrieved from China National Knowledge Infrastructure （CNKI）， China Biomedical Literature Database （CBM）， Wanfang Data， and VIP Database. Information such as experimental animal species， month of age， sex， modeling methods， and period， as well as evaluation indicators， was collated， extracted， and imported into Microsoft Excel 2024 to establish the database. In addition， various modeling methods and detection means were summarized and compared. ResultsA total of 400 articles were included. Among the AD animal models， amyloid precursor protein/presenilin-1 （APP/PS1） mice were used most frequently， with a predominance of male animals. Typically， 3-4-month-old rats or 5-6-month-old mice were selected. The main modeling methods included natural aging， accelerated aging， surgical intervention， drug induction， and transgenic technology. The modeling period was mainly concentrated in a single day or 6-8 weeks. Detection indicators of the models focused on physiological， behavioral， pathological-morphological， and biochemical phenotypes. ConclusionThe construction methods of AD animal models are relatively mature， with multifactorial interventions effectively simulating human pathology， though certain limitations remain. By systematically reviewing and analyzing recent experimental literature of AD animal models， this study aims to provide theoretical support and a reference for further improving the construction of the AD animal model.

Starting from the intrinsic relationship between the glymphatic system and the core pathogenesis of vascular cognitive impairment （VCI）， including internal dampness， phlegm turbidity， and blood stasis， this paper explores clinical approaches to the diagnosis and treatment of VCI. Dysfunction of the kidney's role in governing water leads to the accumulation of dampness， phlegm turbidity， and blood stasis， which are key pathological mechanisms underlying the onset and progression of VCI. The glymphatic system participates in the circulation of cerebrospinal fluid within the central nervous system， and its impairment can result in reduced clearance of soluble metabolic waste products in the brain， a crucial factor contributing to VCI. It is proposed that the "kidney governing water" function is related to the glymphatic system， and that the cerebral collaterals correspond structurally to the glymphatic pathways. Clinically， therapies aimed at tonifying the kidney， resolving phlegm， activating blood circulation， and unblocking collaterals， such as modified Kaixin Powder （开心散）， which eliminates dampness and turbidity， transforms phlegm， restores consciousness， enhances cognition， and strengthens the brain， are commonly employed. These treatments may improve VCI prognosis by regulating glymphatic system function， providing a theoretical basis for the prevention and treatment of VCI with traditional Chinese medicine.

The traditional-immunological strategies for clinical laboratories often rely on large and expensive instruments and skilled operators, and the measurement time is also long. However, the sensitivity of these strategies is still unsatisfactory. It is urgent to research and develop the point-of-care testing (POCT) featured as a highly sensitive, accurate, and rapid/POCT diagnosis. The Microfluidic chips have multi-advantages that are suitable for the clinical POCT diagnosis: high sensitivity, throughput, and automation. Recently, the Microfluidic-immune chips developed based on the microfluidic technology combined with immune detection have considered not only hotspots in the related research but also benefit to the tumor marker detection, antigen and antibody detection of infectious diseases, autoantibody detection, hormone detection, and other fields. However, there are still many challenges to be overcome during the application of chips, such as more effective microfluidic manipulation, more sensitive collection, and analysis of reaction signals.