Enhanced identification of the in vivo metabolites of Ecliptae Herba in rat plasma by integrating untargeted data-dependent MS and predictive multiple reaction monitoring-information dependent acquisition-enhanced product ion scan.

Detection and identification of the in vivo metabolites of traditional Chinese medicine by untargeted profiling strategies are often confronted with severe interference from complex endogenous substances. Here we developed an integral approach, by combining untargeted data-dependent MS (dd-MS) of Q-Orbitrap mass spectrometry and predictive multiple reaction monitoring-information dependent acquisition-enhanced product ion scan (pMRM-IDA-EPI) of triple quadrupole-linear ion trap (QTRAP) mass spectrometry, aiming to detect and identify more extensive metabolites in bio-samples. Ecliptae Herba (EH) is a widely consumed medicinal herb with the effects of nourishing liver/kidney, but its metabolites in vivo have not been fully elucidated. Firstly, after UHPLC separation on an HSS T column, chemical fingerprinting of 70% ethanolic extract of EH was performed by untargeted dd-MS in negative ion mode. We could characterize 41 compounds from EH, and 24 were detectable in the plasma of rats (prototypes) after oral administration of EH extract (1 g/kg). Secondly, using echinocystic acid (triterpene), wedelolactone (coumarin), and apigenin (flavonoid) as the different parent templates, an MRM list containing 150 predicted ion-pairs was established to enhance MS scan by pMRM-IDA-EPI, which enabled the primary identification of up to 200 metabolites. The biotransformations mainly involve oxidation, hydrogenation, methylation, glucuronidation, sulfonation etc. Thirdly, the rat plasma samples obtained after oral administration of three pure compounds (echinocystic acid, wedelolactone and apigenin) were analyzed to verify the reliability of metabolites identification, and 11, 4, and 10 metabolites were found individually. This is the first comprehensive research on the metabolism of EH in vivo.