[Triterpenoids from leaves of Ilex guayusa].

The chemical constituents from the leaves of Ilex guayusa were investigated. Sixteen triterpenoids were isolated from the 95% ethanol extract of dried leaves of I. guayusa by silica gel, Sephadex LH-20, and ODS column chromatographies and semi-prepa-rative HPLC. Those triterpenoids were identified by NMR, HR-MS, and literature analysis: 3ß-hydroxy-11α,12α-epoxy-24-nor-urs-4(23)-ene-28,13ß-olide(1), 3ß-hydroxy-24-nor-4(23),12-oleanadien-28-methyl ester(2), oleanolic acid(3), 3ß,28-dihydroxy-12-oleanene(4), 2α,3ß-dihydroxy-11α,12α-epoxy-24-'nor-olean-4(23)-ene-28,13ß-olide(5), ursolic acid(6), 3ß,23-dihydroxy ursolic acid(7), 3ß,28-dihydroxy-12-ursene(8), 3ß-28-nor-urs-12-ene-3,17-diol(9), 3ß-hydroxyurs-11-ene-28,13ß-olide(10), 13ß,28-epoxy-3ß-hydroxy-11-ursene(11), 3ß-hydroxy-28,28-dimethoxy-12-ursene(12), 3ß-hydroxy-24-nor-urs-4(23),12-dien-28-oic acid(13), 3ß-hydroxy-24-nor-urs-4(23),12-dien-28-methyl ester(14), 2α,3ß-dihydroxy-11α,12α-epoxy-24-nor-urs-4(23)-ene-28,13ß-olide(15) and 2α,3ß-dihydroxy-11α,12α-epoxy-24-nor-urs-4(23),20(30)-dien-28,13ß-olide(16). Compounds 1-2 were new compounds, and compounds 4-5, 7 and 9-16 were isolated from I. guayusa for the first time.

Overall quality control of the chemical and bioactive consistency of ShengMai Formula.

ShengMai Formula (SMF), a famous traditional Chinese medicine (TCM) formula, has been extensively used for treating the diseases caused by Qi-Yin deficiency for almost 1000 years. However, few studies are elucidated about its batch-to-batch quality control system and the quality control markers remain largely unrevealed, which have hindered the development and utilization of SMF. In this study, we aimed to screen the optimal quality control markers to evaluate the overall quality consistency of SMF. High-performance liquid chromatography (HPLC) fingerprint coupled with similarity analysis (SA), principal components analysis (PCA) and hierarchical cluster analysis (HCA) was firstly established to hunt for the discriminant components that resulting in the chemical inconsistence among different batches of SMF. Subsequently, different batches of samples were selected to explore their immunomodulatory activities by neutral red method, Cell Counting Kit-8 (CCK-8) assay and enzyme-linked immunosorbent assay (ELISA). Finally, the fingerprint-efficacy relationships were further illuminated to discover the major bioactive compositions using grey relational analysis (GRA), partial least squares regression (PLSR) analysis and artificial neural network (ANN) analysis. As a result, schisandrol A, schisandrol B, methylophiopogonanone A, schisandrin B, ginsenoside Rf, ginsenoside Rb1, ginsenoside Rg2 and ginsenoside Rb2 were selected as the quality control markers and thus their simultaneous quantification was performed to both evaluate the batch-to-batch chemical and bioactive consistency among different batches of SMF. Our investigation not only stresses the necessity of consistency in efficacy besides chemical consistency, but also provides a comprehensive and powerful quality assessment approach, which is promising to monitor the overall quality consistency of SMF.

Holistic quality evaluation of Qingwen Baidu Decoction and its anti-inflammatory effects.

ETHNOPHARMACOLOGICAL RELEVANCE: Qingwen Baidu Decoction (QBD), a famous traditional Chinese medicine prescription with heat-clearing and detoxifying efficacies, is widely used in the treatment of inflammatory diseases. However, due to lack of holistic quality evaluation research, the further study on the detailed molecular mechanisms of action are still insufficient. AIM OF THE STUDY: This study aimed to evaluate the overall quality of QBD and to explore the anti-inflammatory effects and associated intracellular signaling pathways. MATERIALS AND METHODS: a comprehensive method of chemical fingerprint analysis and simultaneous multi-component quantification was firstly developed by high performance liquid chromatography with diode array detector (HPLC-DAD). Similarity analysis, principal component analysis and hierarchical cluster analysis with heatmap were also applied to screen out the markers components in QBD samples. Moreover, its anti-inflammatory effects and mechanisms were further investigated by survival analysis, hematoxylin-eosin staining (H&E), neutrophil observation, quantitative real-time PCR analysis (qRT-PCR), Western blotting and confocal microscopy. RESULTS: Twenty-one characteristic peaks from 11 herbs were chemically identified in the chromatographic fingerprint. Fifteen quantitative markers from 11 herbs, such as baicalin, wogonoside, geniposidic acid, oxypaeoniflora and so on, were screened out with the aid of chemometrics to further quantitatively assess the quality of QBD. The results of survival analysis, H&E and neutrophil observation in zebrafish inflammatory models consistently showed that QBD exerts potent anti-inflammatory effects in a dose-dependent manner. Additionally, QBD inhibited the activation of NF-κB and STAT3 signal pathways in LPS-induced zebrafish and RAW 264.7 macrophage cells. CONCLUSION: Collectively, our investigations firstly described the chemical profile of QBD and its possible mechanism of anti-inflammation, which provides a preferred strategy for monitoring the overall quality of QBD and supports its clinical application in treating inflammation-related diseases.

[UPLC characteristic fingerprint and chemical pattern recognition of Angong Niuhuang Pills].

To establish the UPLC fingerprint of Zhongyi Angong Niuhuang Pills, in order to evaluate its quality by chemical pattern recognition. The method was developed on a column of Poroshell 120 EC-C_(18), with methanol-0.1% formic acid solution as the mobile phase for gradient elution at a flow rate of 0.4 mL·min~(-1). The column temperature was 30 ℃,and the detective wavelength was 254 nm. The similarity of 24 batches of Angong Niuhuang Pills was compared by using Traditional Chinese Medicine Chromatographic Fingerprint Similarity Evaluation System(2004 A). Hydrophobic cluster analysis,principal components analysis and partial least squares discriminant analysis were conducted by using SIMCA 13.0 software to investigate different components among these products. The UPLC characteristic fingerprint was established in this study. And 17 common peaks were identified by standard reference and UPLC-MS. The similarity of 24 batches samples were above 0.980,which can be classified into three categories for pattern recognition. Baicalin,berberine,jatrorrhizine,wogonin and wogonoside were identified as the main markers that cause differences of various batches. The method is simple,rapid,accurate and reproducible,and can provide scientific basis for improving the quality standard of Zhongyi Angong Niuhuang Pills.

[UPLC characteristic fingerprint of leaves of Moringa oleifera].

This study aims to establish the characteristic fingerprint of the leaves of Moringa oleifera by Ultra High Performance Liquid Chromatography (UPLC) for its quality control. The method was developed on a column of Agilent Eclipse XDB-C18 with acetonitrile-0.01% TFA solution as the mobile phase by gradient elution at a flow rate of 0.5 mL·min⁻¹. The detective wavelength was 210 nm, and the column temperature was 35 °C. The 14 batches of the leaves of M. oleifera were compared for the similarity by using Traditional Chinese Medicine Chromatographic Fingerprint Similarity Evaluation System (2004A). The UPLC characteristic fingerprint was established, and twelve common peaks were identified by comparison with the references and UPLC-MS. The relative retention times were 0.08 (No. 1, adenosine), 0.14 (No. 2, L-phenylalanine), 0.22 (No. 3, 5-caffeoylquinic acid), 0.28 (No. 4, L-tryptophane), 0.42 (No. 5, 4-caffeoylquinic acid), 0.65 (No. 6, vicenin-2), 0.94 (No. 7, vitexin), 0.96 (No. 8, isovitexin), 1.00 (No. 9, isoquercitrin), 1.11 [No. 10, quercetin 3-O-ß-D-(6"-malonyl)-glucopyranoside], 1.21 (No. 11, astragalin) and 1.37 [No. 12, kaempferol 3-O-ß-D-(6"-malonyl)-glucopyranoside]. It is the first time to establish the UPLC characteristic fingerprint of the leaves of M. oleifera. The method is simple, quick and reproducible with high precision, which can provide a scientific basis for the quality control of the leaves of M. oleifera.