Improved structural annotation of triterpene metabolites of traditional Chinese medicine in vivo based on quantitative structure-retention relationships combined with characteristic ions: Alismatis Rhizoma as an example.

As a fast, sensitive and selective method, liquid chromatography-tandem high-resolution mass spectrometry (LC-HRMS) has been used for studying the in vivo metabolism of traditional Chinese medicine (TCM). However, the rapid discovery and characterization of metabolites, especially isomers, remain challenging due to their complexity and low concentration in vivo. This study proposed a strategy to improve the structural annotation of prototypes and metabolites through characteristic ions and a quantitative structure-retention relationship (QSRR) model, and Alismatis Rhizoma (AR) triterpenes were used as an example. This strategy consists of four steps. First, based on an in-house database reported previously, prototypes and metabolites in biosamples were preliminarily identified. Second, the candidate structures of prototype compounds and metabolites were determined by characteristic ions, databases or potential metabolic pathways. Then, a QSRR model was established to predict the retention times of the proposed structure. Finally, the structures of unknown prototypes and metabolites were determined by matching experimental retention times with the predicted values. The QSRR model built by the genetic algorithm-multiple linear regression (GA-MLR) has excellent regression correlation (R2 = 0.9966). Based on this strategy, a total of 118 compounds were identified, including 47 prototypes and 71 metabolites, among which 61 unknown compounds were reasonably characterized. The typical compound identified by this strategy was successfully validated using a triterpene standard. This strategy can improve the annotation confidence of in vivo metabolites of TCM and facilitate further pharmacological research.

Spectrum-effect relationship for anti-tumor activity of shikonins and shikonofurans in medicinal Zicao by UHPLC-MS/MS and chemometric approaches.

Shikonin, shikonofuran and their derivatives are the main bioactive components of Zicao, a traditional Chinese medicine prepared with the dried roots of Lithospermum erythrorhizon, Arnebia euchroma or Arnebia guttata. To establish an efficient and sensitive method for studying material basis of Zicao, different scan modes of ultra-high performance liquid chromatography quadrupole time of flight tandem mass spectrometry (UHPLC-QTOF-MS/MS) and UHPLC triple quadrupole linear ion trap mass spectrometry (QTRAP-MS/MS) were incorporated to make full use of the sensitivity of multiple reaction monitoring (MRM) and overcome its disadvantages. A total of 73 shikonins and shikonofurans compounds were detected in Zicao utilizing various scanning modes. Thereafter the characteristic chemical profile for shikonins and shikonofurans was established based on UHPLC-QTRAP-MS/MS, which was subsequently used to study the spectrum-effect relationship by correlating the relative quantity of compounds and the anti-tumor activity. As a result, 27 compounds were screened as the main active components inhibiting HeLa cells by othogonal partial least square (OPLS). Among them, shikonin, acetylshikonin have been reported to inhibit HeLa cells previously, and ß, ß-dimethylacrylshikonin has been reported to be active component by other method. Those results showed that chemical characteristic profile combined with chemometric methods was efficient and reliable for discovery of material basis in TCM, especially trace active compounds.