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徐玉芳, 马帅, 王海鹏, 陈安琪, 娜孜拉·吐鲁洪, 刘巧云, 王保团, 何金秀, 陈乙菲.病证结合的支气管哮喘中医实验动物模型研究进展[J].湖南中医药大学学报英文版,2025,45(1):176-181.[Click to copy
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| 病证结合的支气管哮喘中医实验动物模型研究进展 |
| 徐玉芳,马帅,王海鹏,陈安琪,娜孜拉·吐鲁洪,刘巧云,王保团,何金秀,陈乙菲 |
| (新疆医科大学中医学院, 新疆 乌鲁木齐 830011) |
| 摘要: |
| 支气管哮喘作为全球最主要的公共卫生问题之一，患病人数居高不下，给社会各界带来较沉重的负担。中医药在哮喘防治方面展现了一定优势，而病证结合的哮喘模型是研究哮喘病因病机的重要载体。将近5年来有关支气管哮喘的中医证候动物模型按照实证、虚证、虚实夹杂证进行分类研究，梳理总结各个模型建立的方法，以期为中医药科研人员研究哮喘的中医辨证论治，建立符合支气管哮喘证候特征的病证结合实验动物模型提供新思路。 |
| 关键词: 哮喘 病证结合 动物模型 宏观证候特征 微观证候特征 模型评价 |
| DOI：10.3969/j.issn.1674-070X.2025.01.029 |
| Received:June 30, 2024 |
| 基金项目:新疆维吾尔自治区自然科学基金项目(2022D01C724);新疆地区高发疾病研究教育部重点实验室开放课题(2023B05);新疆医科大学创新创业项目(X202310762047)。 |
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| Research progress on the Chinese medicine experimental animal models of bronchial asthma based on disease-pattern combination |
| XU Yufang, MA Shuai, WANG Haipeng, CHEN Anqi, TULUHONG Nazila, LIU Qiaoyun, WANG Baotuan, HE Jinxiu, CHEN Yifei |
| (School of Chinese Medicine, Xinjiang Medical University, Urumqi, Xinjiang 830011, China) |
| Abstract: |
| Bronchial asthma, as one of the global major public health issues, has a persistently high number of patients,posing a heavy burden on various sectors of society. Chinese medicine has demonstrated certain advantages in the prevention and treatment of asthma, and the asthma model based on disease-pattern combination serves as an important vehicle for studying the etiology and pathogenesis of asthma. This article classifies and reviews Chinese medicine experimental animal models of bronchial asthma over the past five years into excess pattern, deficiency pattern, and mixed deficiency and excess pattern, summarizing the methods for establishing each model. The aim is to provide new ideas for Chinese medicine researchers studying the pattern identification and treatment of asthma and to establish disease-pattern combination experimental animal models which are in accordance with pattern characteristics of bronchial asthma. |
| Key words: asthma disease-pattern combination animal model macroscopic pattern characteristics microscopic pattern characteristics model evaluation |
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