Vascular restenosis animal model based on data mining
10.3969/j.issn.1671-7856.2025.02.004
- VernacularTitle:基于数据挖掘的血管再狭窄动物模型分析
- Author:
Beili XIE
1
;
Mingwang LIU
;
Wei WEN
;
Yuxin YAN
;
Mengjie GAO
;
Lulian JIANG
;
Zhidie JIN
;
Fuhai ZHAO
Author Information
1. 中国中医科学院西苑医院,北京 100091
- Publication Type:Journal Article
- Keywords:
vascular restenosis;
animal model;
data mining;
balloon strain
- From:
Chinese Journal of Comparative Medicine
2025;35(2):33-44
- CountryChina
- Language:Chinese
-
Abstract:
Objective To analyze the modeling and evaluation method for vascular restenosis animal models in the last 10 years,to provide a reference for improving animal models of vascular restenosis.Methods Literature related to vascular restenosis was retrieved from mainstream Chinese and English databases from 2013 to 2023.Data on experimental animal strains,modeling method,modeling cycles,and detection method were extracted from the included literature,and a database was established using Excel for summary analysis.Results Among the 122 identified articles,the main experimental animals were rats,rabbits,and pigs,and most animals were male.The most common modeling method was balloon injury,and the modeling cycle was mainly within 4～8 weeks.The main detection indexes were histopathology,accounting for 37.18％,including routine hematoxylin-eosin,Masson,and Elastica van Gieson(EVG)staining.Conclusions The translatability of porcine vascular restenosis models is currently more in line with expectations,but their cost is high and they are unpopular,and rats and rabbits thus remain the main animal models.Balloon injury is the main mode of modeling.Different animal models and modeling method for vascular restenosis have advantages and disadvantages,and the model should be selected according to the experimental purpose.Animal models of vascular restenosis still have some limitations,however,and better animal models are required in the future.
