基于数据挖掘的非酒精性脂肪性肝炎动物模型应用分析
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国家自然科学基金项目(82160866);贵州省科技计划项目(黔科合基础-ZK〔2023〕一般433);贵州省卫生健康委科学技术基金资助项目(gzwkj2023-208);贵州省高等学校重点实验室项目(黔教技〔2023〕017号);贵州省普通高等学校青年科技人才成长项目(黔教合KY字〔2022〕263号)


Application Analysis of Non-alcoholic Steatohepatitis Animal Models Based on Data Mining
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    摘要:

    目的:探索非酒精性脂肪性肝炎(NASH)动物模型的动物种类、造模方法、阳性对照药、评价指标,以期为NASH基础研究提供参考。方法:以“非酒精性脂肪性肝炎”“动物模型”“NASH”“Nonalcoholic Steatohepatitis”“Animal Model”为主题词在国家知识基础设施数据库(CNKI)、中文科技期刊数据库(CCD)、中国学术期刊数据库(CSPD)及PubMed数据库进行检索。归纳总结实验动物的种类、性别、周龄、造模方式、阳性对照药、检测指标等,并进行分析。结果:共纳入423篇文献,NASH模型中应用最多的是雄性C57BL/6小鼠和斯泼累格·多雷(SD)大鼠,高脂饮食和蛋氨酸胆碱缺乏(MCD)饮食为最常见的造模方式;造模周期多选择56 d或84 d;检测频次较高的指标为组织病理学、血清生化指标;组织病理学使用最多的是苏木精-伊红染色法。多烯磷脂酰胆碱为频次最高的阳性干预药。结论:目前有多种NASH动物模型制备方法,但仍存在局限性,故通过对NASH动物模型的数据挖掘,为模型选择和模型改善提供参考和思路。

    Abstract:

    To explore the animal species,modeling methods,positive control drugs,and evaluation indicators used in animal models of non-alcoholic steatohepatitis(NASH),with the aim of providing a reference for basic research on NASH.Methods:A literature search was conducted using the keywords “non-alcoholic steatohepatitis”,“animal model”,“NASH”,“Nonalcoholic Steatohepatitis”,and “Animal Model” in the China National Knowledge Infrastructure(CNKI),Chinese Sci-tech Journal Database(CCD),China Academic Journal Database(CSPD),and PubMed databases.The types of experimental animals,sex,age,modeling methods,positive control drugs,and evaluation indicators were summarized and analyzed.Results:A total of 423 articles were included.The most commonly used animals in NASH models were male C57BL/6 mice and Sprague-Dawley(SD) rats.The most common modeling methods were high-fat diets and methionine-choline-deficient(MCD) diets.The modeling period was typically 56 or 84 days.The most frequently measured indicators were histopathological and serum biochemical markers,with hematoxylin-eosin(HE) staining being the most commonly used histological technique.Phosphatidylcholine was the most frequently used positive intervention drug.Conclusion:Although there are multiple methods for creating NASH animal models,limitations still exist.Therefore,data mining on NASH animal models can provide valuable insights and references for model selection and improvement.

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田蓉,李开楊,吴小梅,杨梅,黄敬,赵琦.基于数据挖掘的非酒精性脂肪性肝炎动物模型应用分析[J].世界中医药,2024,(21).

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  • 收稿日期:2024-04-09
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  • 在线发布日期: 2025-01-20
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