期刊文献+

基于数据挖掘的哮喘动物模型应用分析 被引量:7

Application analysis of an asthma animal model based on data mining
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摘要 目的分析哮喘动物模型造模要素,为提高造模成功率及有效评价受试药物提供方法学参考。方法以哮喘和动物模型为主题词,搜索中国知网(2009年1月至2019年8月)相关期刊文献,收集实验动物种类、激发方式、致敏方法、检测指标等,建立数据库,进行统计分析。结果纳入符合标准的期刊文献118篇,其中使用最多的实验动物种类为BALB/c小鼠(43次,36. 4%)和SD大鼠(42次,35. 5%);使用最多激发方式为雾化激发(102次,86. 4%);使用最多的致敏方法为卵清白蛋白(OVA)致敏(107次,90. 6%);检测最多的指标为肺组织病理(92次,77. 9%)、血清中生化指标(49次,41. 5%)、肺泡灌洗液细胞分类计数(42次,35. 6%)、肺组织免疫组化(40次,33. 9%)、肺泡灌洗液上清中生化指标(39次,33. 1%)等。结论建立哮喘动物模型时使用BALB/C小鼠或SD大鼠作为实验动物,采用雾化激发的方式雾化致敏,用OVA作为致敏抗原,可以提高模型的成功率,指标选取建议选取肺组织病理、血清中生化指标、肺泡灌洗液细胞分类计数等以有效的评价受试药物,为更好的进行哮喘动物实验研究提供依据。 Objective To analyze the modeling elements of asthma animal models and provide a method ological reference to improve the success rate of modeling and evaluating test drugs. Methods Using asthma and animal models as key words,we searched for related literature in the China Knowledge Network( January 2009 to August 2019),recorded experimental animal species,stimulation method,sensitization method,and detection indicators,established a database,and conducted statistical analysis. Results There were 118 articles in the journals,and the most used experimental animals were BALB/c mice( 43 times,36. 4%) and SD rats( 42 times,35. 5%). The most exciting mode is atomization( 102 times,86. 4%). The most used sensitization method was sensitization by ovalbumin( OVA)( 107 times,90. 6%).The most detected indexes were lung histopathology( 92 times,77. 9%),serum biochemistry indicators( 49 times,41. 5%),cell counts in alveolar lavage fluid( 42 times,35. 6%),immunohistochemistry of lung tissue( 40 times,33. 9%),and biochemical indicators in alveolar lavage fluid( 39 times,33. 1%). Conclusions BALB/c mice or SD rats were used as experimental animals to establish asthma animal models. The sensitization agent was atomized,and OVA was used as the sensitizing antigen to improve the success rate of the model. Lung histopathology,serum biochemical indicators,and cell counts in lavage fluid were used to effectively evaluate test drugs and provide a basis for better experimental animal research in asthma.
作者 吴瑞 李秀敏 苗明三 WU Rui;LI Xiumin;MIAO Mingsan(Henan University of Chinese Medicine,Henan,Zhengzhou 450046,China)
机构地区 河南中医药大学
出处 《中国比较医学杂志》 CAS 北大核心 2020年第3期89-93,共5页 Chinese Journal of Comparative Medicine
基金 国家中医药管理局中医药标准化专项(2017-149-11) 河南省产学研合作(182107000029) 杰出外籍科学家工作室(GZS2019006) 国家国际合作基地(2016-65)。
关键词 数据挖掘 哮喘 动物模型 data mining asthma animal model
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