基于数据挖掘的哮喘动物模型应用分析
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河南中医药大学,郑州 450046

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R-33


Application analysis of an asthma animal model based on data mining
Author:
Affiliation:

Henan University of Chinese Medicine,Henan,Zhengzhou 450046,China

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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

    Abstract:

    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

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吴 瑞,李秀敏,苗明三.基于数据挖掘的哮喘动物模型应用分析[J].中国比较医学杂志,2020,30(3):89~93.

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  • 收稿日期:2019-09-21
  • 在线发布日期: 2020-08-19
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