Within non-communicable diseases, chronic inflammatory conditions represent one of the biggest challenges for modern medicine. Traditional Chinese Medicine (TCM) has been practiced over centuries and has accumulated tremendous empirical knowledge on the treatment of such diseases. Huangqi Jianzhong Tang (HQJZT) is a famous TCM herbal formula composed of Radix Astragali, Ramulus Cinnamomi, Radix et Rhizoma Glycyrrhizae Praeparata cum Melle, Radix Paeoniae Alba, Rhizoma Zingiberis Recens, Fructus Jujubae and Saccharum Granorum (maltose), which has been used for the treatment of various chronic inflammatory gastrointestinal diseases. However, there is insufficient knowledge about its active constituents and the mechanisms responsible for its effects. The present study aimed at identifying constituents contributing to the bioactivity of HQJZT by combining in vitro cytokine production assays and LC-MS metabolomics techniques. From the HQJZT decoction as well as from its single herbal components, extracts of different polarities were prepared. Phytochemical composition of the extracts was analyzed by means of UPLC-QTOF-MS/MS. The inhibitory effects of the extracts on TNF-α, IL-1β and IFN-γ production were studied in U937 cells. Phytochemical and pharmacological bioactivity data were correlated by orthogonal projection to latent structures discriminant analysis (OPLS-DA) in order to identify those HQJZT constituents which may be relevant for the observed pharmacological activities. The investigations resulted in the identification of 16 HQJZT constituents, which are likely to contribute to the activities observed in U937 cells. Seven of them, namely calycosin, formononetin, astragaloside I, liquiritigenin, 18β-glycyrrhetinic acid, paeoniflorin and albiflorin were unambiguously identified. The predicted results were verified by testing these compounds in the same pharmacological assays as for the extracts. In conclusion, the anti-inflammatory activity of HQJZT could be substantiated by in vitro pharmacological screening, and the predicted activities of the OPLS-DA hits could be partially verified. Moreover, the benefits and limitations of MVDA for prediction pharmacologically active compounds contributing to the activity of a TCM mixture could be detected.

Eight new polyprenylated benzoylphloroglucinol derivatives (1−8) and four known analogues (9−12) were isolated from the stem bark of Garcinia picrorhiza. Their structures were determined by spectroscopic data analysis (1D and 2D NMR and HRESIMS), and the absolute configurations were established by single-crystal X-ray diffraction combined with experimental and calculated ECD data. The new metabolites represent rare examples of benzoylphloroglucinols bearing a cyclobutyl-containing side chain. The isolated compounds were evaluated for their cytotoxic properties against five types of human cancer cells (KB, HeLa S3, MCF-7, Hep G2, and HT-29 cells) and their inhibitory activities against COX-1 and COX-2 enzymes. The cytotoxicity results showed that compound 6 was active against KB, HeLa S3, MCF-7, and Hep G2 cancer cells, with IC 50 values ranging from 5.9 to 9.4 μM. Among the compounds tested for cyclooxygenase inhibition, compound 8 possessed the highest inhibitory effect toward COX-1 (35.2 ± 9.6% inhibition at 20 μM).

Garcinia picrorhiza, a woody plant native to Sulawesi and Maluku Islands, Indonesia, has been traditionally used as a wound healing ointment. In our continuous search for bioactive compounds from this plant, 15 phenolic compounds were isolated from its stem bark, including a previously undescribed dihydroisocoumarin, 2′-hydroxyannulatomarin, and two undescribed furanoxanthones, gerontoxanthone C hydrate and 3′-hydroxycalothorexanthone. The structures of the new metabolites were elucidated on the basis of spectroscopic analysis, including 1D and 2D NMR and HRESIMS. Gerontoxanthone C hydrate possessed cytotoxicity against four cancer cells (KB, HeLa S3, MCF-7, and Hep G2) with IC50 values ranging from 5.6 to 7.5 µM. Investigation on the anti-inflammatory activities showed that 3′-hydroxycalothorexanthone inhibited NO production in RAW 264.7 and BV-2 cell lines with IC50 values of 16.4 and 13.8 µM, respectively, whereas only (−)-annulatomarin possessed inhibition activity on COX-2 enzyme over 10% at 20 µM. This work describes the presence of 3,4-dihydroisocoumarin structures with a phenyl ring substituent at C-3, which are reported the first time in genus Garcinia. These findings also suggest the potential of furanxanthone derivatives as cytotoxic and anti-inflammatory agents for further pharmacological studies.

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Objective: Gegen Qinlian decoction (GQD) is a classical traditional Chinese medicine formulation which has been used for almost 2000 years. At Guang'anmen Hospital, Beijing, a modified GQD version (mGQD) with seven instead of four herbal ingredients has been applied to treat Type 2 diabetes. Quality control is a crucial prerequisite for the therapeutic application of herbal medicines. For the identification of products derived from classical GQD, the Chinese Pharmacopeia requires the analysis of only three marker compounds. Because mGQD is a more complex mixture containing seven herbs and hundreds of constituents, the pharmacopoeia method for GQD is inadequate. Materials and Methods: A more comprehensive characterization of the formula's constituents has been developed using ultra-high-performance liquid chromatography-diode array detection (UHPLC-DAD)-Q-Exactive-mass spectrometry (MS) in electrospray ionization positive and negative mode. Moreover, a new method for the fingerprint analysis of mGQD via high-performance thin-layer chromatography (HPTLC) has been established. Results: Altogether, 91 compounds have been assigned to their originating plants and 84 substances were identified either by comparison with authentic references or with data from the literature. The HPTLC method is based on the application of two different mobile phases and is able to detect both lipophilic and hydrophilic constituents of mGQD. Conclusions: The modified GQD was extensively characterized by UHPLC combined with DAD and Q-Exactive Orbitrap high-resolution MS detection, leading to the assignment and identification of compounds present in the decoction. In addition, a new method for the fingerprint analysis of the mGQD using HPTLC was established, which allows fast and simple identification of the herbal ingredients in the mixture.