矿物药青礞石干预COPD大鼠模型的多层数据分析

杨文国; 王瑞; 刘圣金; 吴德康; 喻斌; 房方; 杨江

矿物药青礞石干预COPD大鼠模型的多层数据分析

1.
南京中医药大学信息技术学院，江苏南京 210023
2.
南京中医药大学药学院，江苏省中药资源产业化过程协同创新中心，中药资源产业化与方剂创新药物国家地方联合工程研究中心，江苏南京 210023
3.
南京中医药大学附属医院，江苏南京 210029

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出版历程
- 收稿日期: 2016-01-20
- 修回日期: 2016-06-27
- 刊出日期: 2016-09-10

Multi-Layer Analysis of Chloriti Lapis on Rats Model with COPD

1.
School of Information Technology, Nanjing University of Chinese Medicine, Nanjing, 210023, China
2.
School of Pharmacy, Nanjing University of Chinese Medicine, Collaborative Innovation Center of Chinese Medicinal Resources Industrialization of Jiangsu Province, National and Local Collaborative Engineering Center of Chinese Medicinal Resources Industrialization and Formulae Innovative Medicine, Nanjing, 210023, China
3.
The Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, 210029, China

摘要

摘要: 目的分析矿物药青礞石治疗慢性阻塞性肺疾病（COPD）大鼠的疗效。方法建立COPD大鼠模型，结合青礞石临床应用的方法及剂量，分别给予青礞石粉高剂量、低剂量，水煎液高剂量、低剂量，药渣高剂量、低剂量加以治疗，检测大鼠肺组织、血清中炎症因子的含量。运用典型相关分析、主成分分析、线性多层统计模型评价相关指标。结果水煎液高剂量组效果最好，粉末高剂量组次之，渣高剂量组第三。结论青礞石能有效降低COPD模型大鼠血清及肺组织中炎症因子的水平，通过典型相关分析、主成分分析、线性多层数据模型可区分不同处理方法的疗效差异。
- 青礞石 /
- 典型相关 /
- 主成分 /
- 线性多层统计模型
Abstract: OBJECTIVE To study the curative effects of Chloriti Lapis on rats with chronic obstructive pulmonary diseases(COPD). METHODS Rats models of COPD were established and were given the powder， decoction and residues of Chloriti Lapis of both high dosage and low dosage respectively based on its clinical application methods and dosage. Inflammatory factor content in rats lung tissue and blood serum was tested and relative indexes were evaluated through canonical correlation analysis， principal component analysis and multiple linear statistical models. RESULTS The high dosage group of decoction reached the best result， with the high dosage group of powder being the second and the high dosage group of residues being the third. CONCULSION Chloriti Lapis is effective in reducing inflammatory factors of both blood serum and lung tissue of rats models with COPD. The curative effect differences due to processing methods can be detected by canonical correlation analysis， principal component analysis and multiple linear statistical models.
- Chloriti Lapis /
- anonical correlation analysis /
- principal component analysis /
- multiple linear statistical models

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参考文献(13)

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