Qi Dong-Li, Yang Xiao-Lin, Chen Jing, Li Fei, Zhou Pei-Pei, Chen Ping, Yang Li, Wang Ru-Feng
China Pharmaceutical University, Nanjing 210009, China.
Tianjin University of Traditional Chinese Medicine, Tianjin 301167, China.
Chin Herb Med. 2020 Aug 29;13(1):43-48. doi: 10.1016/j.chmed.2020.04.004. eCollection 2021 Jan.
The chemical finger printing-based methods for evaluating TCMs quality can report partial of TCMs quality without linking to effective constituents. In this study, a mathematical model was established for the quality evaluation of total saponins of (TSPJ), a folk medicine in China and Japan for treating diseases, through coupling the dynamic changes of chemical constitutions with corresponding activities.
High-performance liquid chromatography (HPLC) fingerprints were applied to establish the chromatographic database of TSPJ. The associated hypolipidemic activity database was determined by TG assay using HepG2 cell model. Correlation analyses of two databases were performed by partial least squares (PLS) for calculating regression coefficients, and the interval value of value (the ratio of positive and negative peak-to-peak area coefficient) closely related to hypolipidemic activity was refined by the formula of Norminv function to value the quality of TSPJ.
In this study, the chromatographic data of 16 common peaks were obtained from 20 batches of TSPJ. After the estimate by this mathematical evaluation model, seven peaks were positively correlated with hypolipidemic activity, and nine peaks were negatively correlated with hypolipidemic activity. When the value was less than 0.7861, the quality of sample was inferior, while value was more than 6.6992, and the quality of samples was superior. The quality of another ten batches of TSPJ was further assessed to verify this method.
These results indicated that the established model could be usefully applied to evaluate the quality of TSPJ in the hypolipidemic activity.
基于化学指纹图谱的中药质量评价方法能够在不关联有效成分的情况下反映部分中药质量。本研究通过将化学成分的动态变化与相应活性相耦合，建立了一种用于评价中国和日本民间治疗疾病药物绞股蓝总皂苷（TSPJ）质量的数学模型。
应用高效液相色谱（HPLC）指纹图谱建立TSPJ的色谱数据库。采用HepG2细胞模型通过甘油三酯（TG）测定法确定相关的降血脂活性数据库。通过偏最小二乘法（PLS）对两个数据库进行相关性分析以计算回归系数，并利用正态逆函数公式对与降血脂活性密切相关的 值（正负峰面积系数之比）的区间值进行优化，以评估TSPJ的质量。
本研究从20批次的TSPJ中获得了16个共有峰的色谱数据。经该数学评价模型评估，7个峰与降血脂活性呈正相关，9个峰与降血脂活性呈负相关。当 值小于0.7861时，样品质量较差；当 值大于6.6992时，样品质量较好。进一步对另外10批次的TSPJ质量进行评估以验证该方法。
这些结果表明所建立的模型可有效地应用于评价TSPJ在降血脂活性方面的质量。
