化学
主成分分析
肉芽肿
高效液相色谱法
消炎药
指纹(计算)
偏最小二乘回归
萃取(化学)
丁醇
色谱法
药理学
病理
生物化学
生物
医学
人工智能
计算机科学
机器学习
乙醇
作者
Qin Qiu,Junhao Shi,Chunying Huang,Yuwen Liu,Dandan Zhen,Xiaofang Liu,Bohong Gu,Lujuan Jiang,Yuan-Yuan Liu
出处
期刊:PubMed
日期:2022-07-01
卷期号:35 (4): 1055-1066
被引量:2
摘要
The present study aimed to evaluate the spectrum-effect relationships between high-performance liquid chromatography fingerprints and anti-inflammatory effects of Tetrastigma planicaule(Hook.)Gagnep. Chemical fingerprints of ten batches of Tetrastigma planicaule from various sources were obtained by HPLC. The anti-inflammatory activity was investigated by a model of ear swelling in mice caused by xylene and a model of cotton pellet granuloma. Hierarchical cluster analysis (HCA) results showed that all the samples were clustered into four categories, which was basically consistent with the principal component analysis (PCA) results. The results of the joint grey relational analysis (GRA) and partial least squares regression analysis (PLSR) showed that peaks 1, 2 and 12 were positively correlated with the anti-acute inflammatory effect (ear swelling) in mice, and peaks 3, 5, 6 and 11 were positively correlated with the anti-chronic inflammatory effect (cotton pellet granuloma) in mice. The anti-inflammatory effect of Tetrastigma planicaule is the result of the synergistic effect of multiple components, which provides a basis for further exploring the anti-inflammatory substances and quality evaluation of the herb.
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