Application analysis of an asthma animal model based on data mining
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Henan University of Chinese Medicine,Henan,Zhengzhou 450046,China

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R-33

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    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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History
  • Received:September 21,2019
  • Revised:
  • Adopted:
  • Online: August 19,2020
  • Published: