基于数据挖掘的慢性阻塞性肺疾病模型应用分析

doi:10. 3969 / j.issn.1671-7856. 2022. 07. 002

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基于数据挖掘的慢性阻塞性肺疾病模型应用分析
DOI:
                        10. 3969 / j.issn.1671-7856. 2022. 07. 002
                    
作者:
                        李 磊李 磊
1.北京中医药大学,北京 100029;2.中日友好医院 中医肺病二部,国家中医药管理局重点研究室(肺病慢性咳喘), 中医药防治过敏性疾病北京市重点实验室(BZ0321),中日友好医院呼吸中心,国家呼吸疾病临床研究中心,北京 100029
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吴东良吴东良
1.北京中医药大学,北京 100029;2.中日友好医院 中医肺病二部,国家中医药管理局重点研究室(肺病慢性咳喘), 中医药防治过敏性疾病北京市重点实验室(BZ0321),中日友好医院呼吸中心,国家呼吸疾病临床研究中心,北京 100029
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李尚点李尚点
1.北京中医药大学,北京 100029;2.中日友好医院 中医肺病二部,国家中医药管理局重点研究室(肺病慢性咳喘), 中医药防治过敏性疾病北京市重点实验室(BZ0321),中日友好医院呼吸中心,国家呼吸疾病临床研究中心,北京 100029
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阎 玥2阎 玥
中日友好医院 中医肺病二部,国家中医药管理局重点研究室(肺病慢性咳喘), 中医药防治过敏性疾病北京市重点实验室(BZ0321),中日友好医院呼吸中心,国家呼吸疾病临床研究中心,北京 100029
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史 琦2史 琦
中日友好医院 中医肺病二部,国家中医药管理局重点研究室(肺病慢性咳喘), 中医药防治过敏性疾病北京市重点实验室(BZ0321),中日友好医院呼吸中心,国家呼吸疾病临床研究中心,北京 100029
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李春雷2李春雷
中日友好医院 中医肺病二部,国家中医药管理局重点研究室(肺病慢性咳喘), 中医药防治过敏性疾病北京市重点实验室(BZ0321),中日友好医院呼吸中心,国家呼吸疾病临床研究中心,北京 100029
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李友林2李友林
中日友好医院 中医肺病二部,国家中医药管理局重点研究室(肺病慢性咳喘), 中医药防治过敏性疾病北京市重点实验室(BZ0321),中日友好医院呼吸中心,国家呼吸疾病临床研究中心,北京 100029
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作者单位:1.北京中医药大学,北京 100029;2.中日友好医院 中医肺病二部,国家中医药管理局重点研究室(肺病慢性咳喘), 中医药防治过敏性疾病北京市重点实验室(BZ0321),中日友好医院呼吸中心,国家呼吸疾病临床研究中心,北京 100029
作者简介:
通讯作者:
中图分类号:R-33
基金项目:

Application analysis of a chronic obstructive pulmonary disease model by data mining

Author:

LI Lei
LI Lei
1. Beijing University of Chinese Medicine, Beijing 100029, China. 2. the 2nd Department of Pulmonary Disease, China-Japan Friendship Hospital, Key Unit of State Administration of Traditional Chinese Medicine (Pneumonopathy Chronic Cough and Dyspnea), Beijing Key Laboratory of Prevention and Treatment of Allergic Diseases with Traditional Chinese Medicine (BZ0321), Center of Respiratory Medicine, National Clinical Research Center for Respiratory Diseases, Beijing 100029
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WU Dongliang
WU Dongliang
1. Beijing University of Chinese Medicine, Beijing 100029, China. 2. the 2nd Department of Pulmonary Disease, China-Japan Friendship Hospital, Key Unit of State Administration of Traditional Chinese Medicine (Pneumonopathy Chronic Cough and Dyspnea), Beijing Key Laboratory of Prevention and Treatment of Allergic Diseases with Traditional Chinese Medicine (BZ0321), Center of Respiratory Medicine, National Clinical Research Center for Respiratory Diseases, Beijing 100029
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LI Shangdian
LI Shangdian
1. Beijing University of Chinese Medicine, Beijing 100029, China. 2. the 2nd Department of Pulmonary Disease, China-Japan Friendship Hospital, Key Unit of State Administration of Traditional Chinese Medicine (Pneumonopathy Chronic Cough and Dyspnea), Beijing Key Laboratory of Prevention and Treatment of Allergic Diseases with Traditional Chinese Medicine (BZ0321), Center of Respiratory Medicine, National Clinical Research Center for Respiratory Diseases, Beijing 100029
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YAN Yue ^²
YAN Yue
the 2nd Department of Pulmonary Disease, China-Japan Friendship Hospital, Key Unit of State Administration of Traditional Chinese Medicine (Pneumonopathy Chronic Cough and Dyspnea), Beijing Key Laboratory of Prevention and Treatment of Allergic Diseases with Traditional Chinese Medicine (BZ0321), Center of Respiratory Medicine, National Clinical Research Center for Respiratory Diseases, Beijing 100029
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SHI Qi ^²
SHI Qi
the 2nd Department of Pulmonary Disease, China-Japan Friendship Hospital, Key Unit of State Administration of Traditional Chinese Medicine (Pneumonopathy Chronic Cough and Dyspnea), Beijing Key Laboratory of Prevention and Treatment of Allergic Diseases with Traditional Chinese Medicine (BZ0321), Center of Respiratory Medicine, National Clinical Research Center for Respiratory Diseases, Beijing 100029
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LI Chunlei ^²
LI Chunlei
the 2nd Department of Pulmonary Disease, China-Japan Friendship Hospital, Key Unit of State Administration of Traditional Chinese Medicine (Pneumonopathy Chronic Cough and Dyspnea), Beijing Key Laboratory of Prevention and Treatment of Allergic Diseases with Traditional Chinese Medicine (BZ0321), Center of Respiratory Medicine, National Clinical Research Center for Respiratory Diseases, Beijing 100029
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LI Youlin ^²
LI Youlin
the 2nd Department of Pulmonary Disease, China-Japan Friendship Hospital, Key Unit of State Administration of Traditional Chinese Medicine (Pneumonopathy Chronic Cough and Dyspnea), Beijing Key Laboratory of Prevention and Treatment of Allergic Diseases with Traditional Chinese Medicine (BZ0321), Center of Respiratory Medicine, National Clinical Research Center for Respiratory Diseases, Beijing 100029
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Affiliation:

1. Beijing University of Chinese Medicine, Beijing 100029, China. 2. the 2nd Department of Pulmonary Disease, China-Japan Friendship Hospital, Key Unit of State Administration of Traditional Chinese Medicine (Pneumonopathy Chronic Cough and Dyspnea), Beijing Key Laboratory of Prevention and Treatment of Allergic Diseases with Traditional Chinese Medicine (BZ0321), Center of Respiratory Medicine, National Clinical Research Center for Respiratory Diseases, Beijing 100029

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摘要:

目的探索慢性阻塞性肺疾病(COPD)动物模型的造模要素,为本模型的建立和评价的规范化和标准化提供方法学参考和建议。方法以慢性阻塞性肺疾病合并动物模型为主题词在中国知网、万方数据库中进行搜索近十年相关文献(2011 年 1 月~ 2021 年 7 月),整理归纳模型中涉及的动物种别、造模方法与周期、检测指标、给药时间、阳性对照药及证候造模情况等内容,建立数据库进行统计分析。结果共纳入 176 篇文献,COPD 模型中应用最多的是 SD 大鼠(83 次,47. 16%)、Wistar 大鼠(59 次,33. 52%)和 C57 小鼠(14 次,7. 95%),倾向于雄性(140 次,79. 55%);造模方式多选用烟雾暴露联合脂多糖(91 次,52%)或单纯烟雾暴露(34 次,19. 43%),造模周期多为 3 个月内(147 次,83. 52%);检测最多的指标为肺组织病理(137 次,24. 82%)、肺功能(79 次,14. 31%)、一般状况(63 次,11. 41%)、肺泡灌洗液(56 次,10. 14%)等;在含有阳性对照药的 46 项研究中,应用最多的是氨茶碱(7 次),其次为地塞米松和固本咳喘片(各 4 次);18 项涉及证候造模的研究中频次最高的是肺气虚证(8 次)。结论现有 COPD 模型多采用烟雾暴露联合脂多糖滴注或单纯烟雾暴露方法造模,选用 SD/ Wistar 大鼠或 C57 小鼠作为实验动物,周期在 3 个月内,能够有效提升 COPD 造模的成功率,模型评价指标建议综合肺组织病理、肺功能、一般状况和肺泡灌洗液等结果。但目前仍缺乏对不同造模方式的比较以及造模所用具体参数的确立,有待进一步探究。

关键词:慢性阻塞性肺疾病;动物模型;数据挖掘

Abstract:

Objective To explore the modeling elements of an animal model of chronic obstructive pulmonary disease, which may provide a method ological reference to establish this model. Methods We searched for literature from January 2011 to July 2021 in CNKI and Wanfang databases using an animal model of chronic obstructive pulmonary disease combined with animal models as the subject words, and sorted out the animal species and model involved in the model. Then, we established a database for statistical analysis with method, cycles, detection indicators, administration time and positive control drugs. Results A total of 176 articles were included. The most commonly used animals for the COPD model were SD rats (83 times, 47. 16%), Wistar rats (59 times, 33. 52%), and C57 mice (14 times, 7. 95%), which tended to be male (140 times, 79. 55%). Most modeling method were smoke exposure combined with lipopolysaccharide (91 times, 52%) or simple smoke exposure (34 times, 19. 43%). The modeling cycle was mostly within 3 months (147, 83. 52%). The most detected indicators were lung histopathology ( 137 times, 24. 82%), lung function ( 79 times, 14. 31%), general condition (63 times, 11. 41%), and alveolar lavage fluid (56 times, 10. 14%). Conclusions Using SD/ Wistar rats or C57 mice as experimental animals under smoke exposure combined with lipopolysaccharide instillation or simple smoke exposure within 3 months effectively improves the success rate of COPD models. Model evaluation indicators suggest that the result of lung histopathology, lung function, general condition and alveolar lavage fluid should be integrated.

Key words:chronic obstructive pulmonary disease; animal model; data mining

引用本文

李磊,吴东良,李尚点,阎玥,史琦,李春雷,李友林.基于数据挖掘的慢性阻塞性肺疾病模型应用分析[J].中国比较医学杂志,2022,32(7):10~17.

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收稿日期:2021-10-13
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在线发布日期: 2022-11-09
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