Application Analysis of Alzheimer's Disease Animal Models Based on Data Mining
10.13422/j.cnki.syfjx.20251018
- VernacularTitle:基于数据挖掘的阿尔茨海默病动物模型应用分析
- Author:
Zhichen WANG
1
;
Senlin CHEN
1
;
Yulong ZOU
1
;
Gengzhao CHEN
1
;
Qianhong ZHU
2
;
Saie HUANG
1
Author Information
1. Rehabilitation Hospital Affiliated to Fujian University of Traditional Chinese Medicine（TCM）， Fuzhou 350003，China
2. Fujian University of TCM， Fuzhou 350122，China
- Publication Type:Journal Article
- Keywords:
Alzheimer's disease;
animal model;
data mining;
application analysis;
traditional Chinese medicine syndrome
- From:
Chinese Journal of Experimental Traditional Medical Formulae
2026;32(13):244-252
- CountryChina
- Language:Chinese
-
Abstract:
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.
