Quality marker discovery of Danggui Jianzhong decoction for treating primary dysmenorrhoea based on chinmedomics strategy.

Background: Danggui Jianzhong Decoction (DGJZD) has been proven as an effective classical prescription for clinically treating primary dysmenorrhoea (PD). However, the industrialisation development and drug innovation of DGJZD remain limited due to its undefined effective constituents and quality markers (Q-markers).

Purpose: Elucidating the Q-markers of DGJZD, which is related to clinical efficacy.

Methods: In accordance with chinmedomics strategy, we evaluated the therapeutic efficacy of DGJZD on the basis of the metabolomic profile and biomarker of a PD rat model to further identify the constituents of DGJZD in vivo that originated from the formula under the acting condition of DGJZD. The potential effective constituents and Q-markers were identified by mining the dynamic relation between the constituents in vivo and the biomarkers.

Results: Subsequently, 29 serum metabolites were characterized as biomarkers for PD, and DGJZD adjusted the levels of the primary biomarkers involved in arachidonic acid metabolism, glycerophospholipid metabolism, tryptophan metabolism as well as the synthesis of steroid hormones. Under the active condition of DGJZD, 20 prototype ingredients and 4 metabolites of DGJZD were found in vivo, five of which were mostly related with the efficacy of PD, namely, ferulic acid, zizyphusin, cinnamic acid, protocatechuic acid-3-glucoside, and azelaic acid. They were the potential pharmacodynamic constituents for treating PD, and they could be regarded as the Q-markers of DGJZD.

Conclusion: Taken together, the Q-markers of DGJZD identified in this research are credible and assist in solving problems related to quality control and drug innovation, accelerating industrialisation development. Besides, the efficacy, mechanism and active ingredients of DGJZD for the treatment of PD were innovatively elucidated for the first time on the basis of the chinmedomics strategy for uncovering the Q-markers of drugs from the system perspective.