Abstract
The present work is to establish an HPLC characteristic chromatograms of Asarum heterotropoides var. mandshuricum(AH) and A. sieboldii(AS), combined with cluster analysis for the identification of the two species, and predict their potential anti-inflammatory related targets by network pharmacological method. Eighty-nine samples(12 batches of AS and 77 batches of AH) were analyzed, and 11 characteristic peaks were identified by reference substances, UV spectrum and LC-MS. Cluster analysis showed that AS and AH were divided into two groups, and the ratio of characteristic peak areas can be used to distinguish them. When the ratio of characteristic peak sarisan to kakuol was greater than 5, it was AS, and when the ratio was less than 2, it was AH. The network pharmacological analysis of 119 constituents of Asari Radix et Rhizoma suggested that the anti-inflammatory effect of Asari Radix et Rhizoma might be related to COX-2, COX-1, iNOS, MAPK14, NR3 C1, PPARG and TNF. Among them, COX-2 is a relatively key target, which interacted with the characteristic constituents, asarinin, sesamin, safrole, methyleugenol and sarisan. The characteristic constituents asarinin and sesamin also interacted with the iNOS and MAPK14. Safrole and sarisan can also interact with iNOS, COX-1 and LAT4 H. Methyleugenol also showed interaction with COX-1 and LAT4 H. Since asarinin and sesamin interacted with three targets, COX-2, iNOS and MAPK14, it implied that they were the main active constituents for the anti-inflammatory activity of Asari Radix et Rhizoma. The COX-2 inhibitory activities of asarinin and sesamin were further studied by molecular docking and bioassay. The HPLC method established was simple, feasible and reliable, with predicted anti-inflammatory targets and anti-inflammatory constituents, which could provide a reference for improving the quality evaluation system of Asari Radix et Rhizoma.
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