Application and characteristics of a glaucoma animal model based on data mining
10.3969/j.issn.1005-4847.2023.11.008
- VernacularTitle:基于数据挖掘的青光眼动物模型的应用特点分析
- Author:
Xifan YUAN
1
;
Qiongyi FU
;
Mingsan MIAO
Author Information
1. 河南中医药大学中医药科学院,郑州 450046
- Keywords:
animal model of glaucoma;
data mining;
moulding element;
application analysis
- From:
Acta Laboratorium Animalis Scientia Sinica
2023;31(11):1439-1446
- CountryChina
- Language:Chinese
-
Abstract:
Objective To study the application of an animal model of glaucoma and provide a reference for improved animal experimental method and models.Methods We searched the CNI and PubMed databases using the terms"glaucoma"and"animal models"to identify studies related to animal models of glaucoma from 2012 to 2022.The study species,sex,modeling method,and detection indexes were summarized,and a database was established for statistical analysis.Results In total,400 articles conforming to the criteria were selected.Most of the experimental animals were C57BL/6J mice and most of them were male.The most common modeling method were anterior chamber injection-induced,transgenic,and laser photocoagulation-induced models.The most frequent detection indicators included intraocular pressure measurement,histopathology,Western Blot analysis,and immunohistochemistry.Conclusions Numerous method have been used to construct glaucoma animal models,but the intervention of related traditional Chinese medicine factors is less.It is suggested to increase the glaucoma animal model combined with disease and syndrome.This study evaluated different animal models of glaucoma by data mining to provide references for the construction of animal models with high modelling-success rates,good reproducibility,and high clinical coincidence,as well as providing ideas for model improvement.
