关键词: 肺纤维化, 动物模型, 数据挖掘

Abstract: Objective To study the modeling characteristics of pulmonary fibrosis models ( PF models) in animals and to provide references for the establishment of stable and reliable animal models of pulmonary fibrosis. Method The research articles on animal models of pulmonary fibrosis were retrieved to establish a database. The types of experimental animals, modeling method, positive drug types, highfrequency detection indicators,etc. ,were summarized and analyzed. Result A total of 178 articles were included. The most commonly used animals for the PF models were Wistar rats (54 times, 28. 72%) , SD rats (51 times, 27. 13%) , and C57BL / 6 mice ( 48 times, 25. 53%) , which tended to be male ( 112 times, 59. 57%) . Most modeling method were BLM-induced model ( 134 times, 71. 28%) and silica-induced model ( 25 times, 13. 30%) . The most detected indicators were lung histopathology ( 125 times, 24. 18%) , biochemical index of lung homogenate supernatant (66 times, 12. 77%) , lung histopathology scores ( 48 times, 9. 28%) and immunohistochemistry of lung tissue ( 43 times, 8. 32%) . Conclusion By summarising and analysing the preparation method and key indicators of PF animal models, this study provided references for improving the success rate of modeling in animals, with a view to providing a basis for the research of PF. 

Key words: Pulmonary fibrosis, animal models, data mining