HPLC Fingerprinting and Spectrum-antitumor Effect Relationship for Discrimination between Mylabris phalerata Pallas and Mylabris cichorii Linnaeus

目的：基于高效液相指纹图谱和光谱－抗肿瘤作用的关系来区别两种斑蝥.方法：在本研究中,开发了一种简单有效的高效液相色谱法整合化学计量学分析与光谱－抗肿瘤作用关系的方法来区别两种斑蝥：南方大斑蝥（MP）和黄黑小斑蝥（MC）.结果：在指纹图谱分析中,我们通过PCA和OPLS一DA用相似性和模式识别分析的选择了14个特征峰来评估MP与MC的差异.来自中国10个地区样本的HPLC色谱图表明了MP和MC之间的差异,另外,发现了7个化学标志物.在光谱－抗肿瘤作用关系分析中,通过灰度相关分析和多元线性回归分析,发现了4个活性标志物能够降低IC50,可能是斑蝥中的抗肿瘤成分.化学计量分析法联合光谱－效应关系的结果表明峰2（胞嘧啶）,4（未知）和14（未知）是区分2种斑蝥的重要区分标志物.结论：这种方法可行,可信并且能有效的区分MP和MC,并能提供一种对昆虫药物的质量控制的新方法.

Objective： Evaluation of discrimination between two Mylabris Species based on HPLC fingerprinting andspectrum-antitumor effect relationship. Methods： In this study, a simple and efficient high-performance liquidchromatography （HPLC） method integrating with chemometric analysis and spectrum-antitumor effect relationship wasdeveloped for discrimination between two species of Mylabris： Mylabris phalerata Pallas （MP） and Mylabris cichoriiLinnaeus （MC）. Results： In the fingerprint analysis, 14 characteristic peaks were selected to assess the differencesbetween MP and MC using the similarity and pattern recognition analysis using PCA and OPLS-DA. The HPLCchromatograms of samples from 10 regions of China showed differences between MP and MC, and 7 characteristicchemical markers were found. In the spectrum-antitumor effect relationship analysis, 4 activity markers played a vitalrole in decreasing the IC50 and might be the antitumor components of Mylabris by grey relational analysis andmultivariate linear regression analysis. The chemometric analysis in combination with spectrum-effect relationshipresults indicated that peaks 2 （cytosine）, 4 （unknown） and 14 （unknown） were important differential markers fordistinguishing the two species of Mylabris. Conclusion： The method is applicable, credible and more efficient todiscriminate MP and MC, and will offer a new way for facilitating quality control of insect medicines.