Kuqin (KQ) and Ziqin (ZQ), derived from the roots of Scutellaria baicalensis Georgi, are two important commercial specifications of Scutellariae Radix (SR, termed Huang qin in Chinese). According to traditional Chinese medicine, KQ is used for the treatment of upper energizer lung heat syndrome while ZQ is used to clear lower energizer large intestine heat syndrome. The chemical basis for differences in efficacy between KQ and ZQ is currently unknown. Here, we present an untargeted metabolomics approach to rapidly screen and identify chemical and in vivo distribution differences between KQ and ZQ. We identified 114 constituent differences between KQ and ZQ, of which 35 were identified in SR for the first time. Furthermore, 19 prototype constituents and 16 metabolites were tentatively identified in rat colon and lungs after oral administration of SR, of which six prototype constituents and 12 metabolites were reported for the first time. Distribution differences of baicalin, wogonoside, wogonin and oroxylin A between colon and lungs were observed. To interpret such differences, their metabolic pathways were proposed. The peak area ratio of baicalin to eriodictyol calculated from the extracted ion chromatogram was proposed as a differentiation index for the classification and quality control of KQ and ZQ. These results may partially explain the efficacy differences between KQ and ZQ, and provide references for clinical treatment of related diseases.

Scutellariae Radix (SR), the root of Scutellaria baicalensis Georgi, is used as an antipyretic drug and has been demonstrated to have anti-inflammatory activity. SR is divided into two specifications, “Ku Qin” (KQ) and “Zi Qin” (ZQ), for use against different symptoms (upper energizer heat or lower portion of the triple energizer), according to the theory of traditional Chinese medicine (TCM). However, differences in the efficacies of these two specifications have not been determined. In the present study, we aimed to characterize the differences in the anti-inflammatory activities between KQ and ZQ and to explore how their differences are manifested in lipopolysaccharide (LPS)-induced macrophages. Our results showed that, in RAW264.7 cells (a mouse macrophage cell line derived from ascites), KQ and ZQ displayed anti-inflammatory effects by inhibiting the release of nitric oxide (NO), inducible NOS (iNOS), and nuclear factor-κB (NF-κB) in a dose-dependent manner without distinction. In NR8383 cells (a rat alveolar macrophage cell line), KQ and ZQ displayed similar effects on NO, iNOS, and NF-κB as seen in RAW264.7 cells, but KQ showed a higher inhibition rate for NO and iNOS than that shown by ZQ at the same concentration. These results indicated that there were differences in efficacy between KQ and ZQ in treating lung inflammation. Our findings provided an experimental evidence supporting the different uses of KQ and ZQ in clinic, as noted in ancient herbal records.

•A method for screening mitochondrial ligands from complex matrixes was developed.•10 mitochondrial ligands were found from Polygoni Cuspidati Rhizoma et Radix.•9 mitochondrial ligands were found from Scutellariae Radix.•17 compounds were identified as new mitochondrial ligands.•The direct mitochondria-bound activity of 9 compounds was confirmed.Mitochondria are an important intracellular pharmacological target because damage to this organelle results in a variety of human disorders and because mitochondria are involved in complex processes such as energy generation, apoptosis and lipid metabolism. To expedite the search for natural bioactive compounds targeting mitochondria, we initially developed an efficient mitochondria-based screening method by combining centrifugal ultrafiltration (CU) with liquid chromatography/mass spectrometry (LC/MS), which is called screening method for mitochondria-targeted bioactive constituents (SM-MBC) and is compatible with the search of mitochondria-targeted compounds from complex matrixes such as herbal medicines extracts. Functionally active, structurally intact and pure mitochondria were obtained from rat myocardium using an optimized protocol for mitochondrial isolation comprising organelle release followed by differential and Nycodenz density gradient centrifugation. After evaluating the reliability of the method using thiabendazole (TZ), rotenone (RN), amiodarone (AR) and trimetazidine (TD) as positive controls, this method was successfully applied to screen bioactive constituents from extracts of Polygoni Cuspidati Rhizoma et Radix (PCRR) and Scutellariae Radix (SR). Nineteen active compounds were detected and identified by LC/MS, of which 17 were new mitochondria-targeted compounds. The activity of 9 of the 19 hit compounds was confirmed by in vitro pharmacological trials. These results demonstrate that SM-MBC can be used for the efficient screening of mitochondria-targeted constituents in complex preparations used to treat mitochondrial disorders, such as PCRR and SR. The results may be meaningful for an in-depth understanding of drug mechanism of action and drug discovery from medicinal herbs.

•A new relative correction factor calculating method in QAMS was established.•An applicable concentration range defining method in QAMS was established.•The accuracy of QAMS method was improved.•The concentration of an analyte was the major influencing parameter of QAMS.•Eleven saponins in 24 batches of notoginseng were assayed by QAMS.A new quantitative analysis of multi-component with single marker (QAMS) method for 11 saponins (ginsenosides Rg1, Rb1, Rg2, Rh1, Rf, Re and Rd; notoginsenosides R1, R4, Fa and K) in notoginseng was established, when 6 of these saponins were individually used as internal referring substances to investigate the influences of chemical structure, concentrations of quantitative components, and purities of the standard substances on the accuracy of the QAMS method. The results showed that the concentration of the analyte in sample solution was the major influencing parameter, whereas the other parameters had minimal influence on the accuracy of the QAMS method. A new method for calculating the relative correction factors by linear regression was established (linear regression method), which demonstrated to decrease standard method differences of the QAMS method from 1.20%±0.02% - 23.29%±3.23% to 0.10%±0.09% - 8.84%±2.85% in comparison with the previous method. And the differences between external standard method and the QAMS method using relative correction factors calculated by linear regression method were below 5% in the quantitative determination of Rg1, Re, R1, Rd and Fa in 24 notoginseng samples and Rb1 in 21 notoginseng samples. And the differences were mostly below 10% in the quantitative determination of Rf, Rg2, R4 and N-K (the differences of these 4 constituents bigger because their contents lower) in all the 24 notoginseng samples. The results indicated that the contents assayed by the new QAMS method could be considered as accurate as those assayed by external standard method. In addition, a method for determining applicable concentration ranges of the quantitative components assayed by QAMS method was established for the first time, which could ensure its high accuracy and could be applied to QAMS methods of other TCMs. The present study demonstrated the practicability of the application of the QAMS method for the quantitative analysis of multi-component and the quality control of TCMs and TCM prescriptions.

Aristolochiae Fructus (“Madouling”) is derived from the fruits of Aristolochia contorta and A. debilis (Aristolochiaceae). These two species contain potentially nephrotoxic constituents, but are officially used in China. Distinction of constituents and toxicity between these two species remains unclear. A high-performance liquid chromatography method was developed and validated for the simultaneous determination of seven analogues of aristolochic acid (aristolochic acids I, II, IIIa, IVa and VIIa), as well as aristololactams I and II in Aristolochiae Fructus. Chromatographic separation was achieved on a Zorbax SB-C18 column with a gradient mobile phase comprising acetonitrile and 1 % acetic acid–30 mM triethylamine (20:1, v/v) buffer. Analytes were detected with a diode array detector at 250 and 260 nm. The contents of seven constituents in samples (11 batches of A. contorta fruits, 15 batches of A. debilis fruits and 33 commercial samples of Madouling) were determined. The content of aristolochic acid IVa was higher than that of aristolochic acid VIIa in A. contorta fruits, whereas the opposite was true in A. debilis fruits. This feature can be used to distinguish the two species from each other and identify the resource plant of Madouling. Through a morphological method and a newly found principle based on the ratio AA-IVa/AA-VIIa, we found that the 33 commercial samples collected from 12 provinces in China were all derived from the fruits of A. contorta.

Notoginsenosides R1, R4, Fa, and K (N-R1, N-R4, N-Fa, and N-K), as well as ginsenosides Rg1, Rb1, Rd, Re, Rf, Rg2 and Rh1 (G-Rg1, G-Rb1, G-Rd, G-Re, G-Rf, G-Rg2 and G-Rh1) in 47 Notoginseng samples including 1-, 2- and 3-year-old main roots, rhizomes and fibrous roots of Panax notoginseng were determined by high-performance liquid chromatography-diode array detection method. Total contents (%) of the 11 saponins were 9.82–14.57 for 2-year old and 14.20–16.00 for 3-year-old rhizomes; 2.72–4.50 for 2-year-old and 1.98–4.92 for 3-year-old fibrous roots; 1.75–3.05 for 1-year-old whole roots; and 3.71–8.98 for 2-year-old and 7.03–11.23 for 3-year-old main roots. Contents of most saponins and total content of 11 saponins were in the order 3- >2- >1-year-old main root samples. G-Rf content, sum of G-Rf and G-Rh1 were, respectively, 0.08–0.18 and 0.14–0.32 for 2- or 3-year-old rhizomes, and 0.01–0.07 and 0.03–0.10 for 2- or 3-year-old main roots. Combined contents of N-R1, G-Rg1 and G-Rb1 were 5.78–9.37 in 3-year-old main roots, and 2.99–7.13 in 2-year-old main roots, of which nearly one-third of samples were lower than the limit (5 %) in the Chinese Pharmacopoeia. Those of 2- or 3-year-old fibrous roots (1.47–3.83) and 1-year-old whole roots (1.41–2.44) were much lower than the limit, and were considered not suitable for use as Notoginseng. Two-year-old main roots are not appropriate for collection as Notoginseng. Different parts and growth years of P. notoginseng can be identified from each another according to differences in saponin content.