基于数据挖掘的青光眼动物模型分析
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河南中医药大学

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Analysis of glaucoma animal models based on data mining
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1.Henan University of Chinese Medicine;2.河南中医药大学

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    摘要:

    目的 研究青光眼动物模型应用情况,为其动物实验方法和模型完善提供参考。方法 以“青光眼”和“动物模型”为主题词,在中国知网、PubMed中收集2012年至2022年青光眼动物模型的相关文献,总结实验动物种类、性别、造模方法、检测指标等,建立数据库进行统计分析。结果 共筛选得到符合标准的400篇文献,其中实验动物多为C57BL / 6J小鼠,动物性别以雄性居多;造模方法多采用前房注射物质诱导型、转基因型和激光光凝诱导型;高频检测指标主要包括眼压测量、组织病理、蛋白质印迹分析和免疫组化。结论 目前青光眼动物模型造模方法种类较多,但是相关中医因素干预较少,建议增加病证结合的青光眼动物模型。本研究通过对青光眼动物模型实验进行挖掘分析,对不同动物模型进行评估,通过挖掘内容为构建造模成功率高、重现性好、与临床吻合度高的动物模型提供参考,为模型完善提供思路。

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    Objective :To study the application of animal model of glaucoma and provide reference for the improvement of animal experimental methods and model. Methods Methods With“glaucoma ”and “animal models” as the main topics, literature related to animal models of glaucoma from 2012 to 2022 was collected from CNI and PubMed, and the species, gender, modeling methods and detection indexes of experimental animals were summarized, and the database was established for statistical analysis.Results A total of 400 articles conforming to the criteria were selected. Most of the experimental animals were C57BL / 6J mice, and most of them were male. Most of the modeling methods were anterior chamber injection induced type, transgenic type and laser photocoagulation induced type. The high frequency detection indicators mainly included intraocular pressure measurement, histopathology, western blot analysis and immunohistochemistry. Conclusions: at present, there are many methods to construct glaucoma animal models, but the intervention of related TCM factors is less. It is suggested to increase the glaucoma animal model combined with disease and syndrome. In this study, different animal models were evaluated by mining and analyzing the animal model experiments of glaucoma, and the mining contents provided references for the construction of animal models with high success rate of modeling, good reproducibility and high clinical coincidence, and provided ideas for the model improvement.

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  • 收稿日期:2023-03-07
  • 最后修改日期:2023-04-10
  • 录用日期:2023-11-07
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