A funnel-type stepwise filtering strategy for identification of potential Q-markers of traditional Chinese medicine formulas.

Quality marker (Q-marker) serves as an important driver for the standardization of quality control in traditional Chinese medicine (TCM) formulas. However, it is still challenging to discover comprehensive and representative Q-markers. This study aimed to identify Q-markers of Hugan tablet (HGT), a famous TCM formula with ideal clinical effects in liver diseases. Here, we proposed a funnel-type stepwise filtering strategy that integrated secondary metabolites characterization, characteristic chromatogram, quantitative analysis, literature mining, biotransformation rules and network analysis. Firstly, the strategy of "secondary metabolites-botanical drugs-TCM formula" was applied to comprehensively identify the secondary metabolites of HGT. Then, the secondary metabolites with specificity and measurability in each botanical drug were identified by HPLC characteristic chromatogram, biosynthesis pathway and quantitative analysis. Based on literature mining, the effectiveness of botanical metabolites that met the above conditions was evaluated. Furthermore, the metabolism of the above metabolites in vivo was studied to reveal their biotransformation forms, which were used for network analysis. At last, according to biotransformation rules of the prototype drugs in vivo, the secondary metabolites were traced and preliminarily chosen as Q-markers. As a result, 128 plant secondary metabolites were identified in HGT, and 11 specific plant secondary metabolites were screened out. Then, the content of specific plant secondary metabolites in 15 batches of HGT was determined, which confirmed their measurability. And the results of literature mining showed that eight secondary metabolites had therapeutic effects in treating liver disease at the in vivo level, and three secondary metabolites inhibited liver disease-related indicators at the in vitro level. After that, 26 compounds absorbed into the blood (11 specific plant metabolites and their 15 metabolites in vivo) were detected in rats. Moreover, 14 compounds, including prototype components and their metabolites, were selected as Q-marker candidates by the "TCM formula-botanical drugs-compounds-targets-pathways" network. Finally, 9 plant secondary metabolites were defined as comprehensive and representative Q-markers. Our study not only provides a scientific basis for the improvement and secondary development of the quality standard of HGT, but also proposes a reference method for discovering and identifying Q-markers of TCM preparations.

[Effects and mechanism of morroniside on osteogenic differentiation and proliferation of mouse MC3T3-E1 cells].

Objective: To study the effects of morroniside (MOR) on the proliferation and osteogenic differentiation of mouse MC3T3-E1 cells. Methods: The 4th generation MC3T3-E1 cells were randomly divided into 6 groups: control group (group A), MOR low dose group (10 µmol/L, group B), MOR medium-low dose group (20 µmol/L, group C), MOR medium dose group (40 µmol/L, group D), MOR medium-high dose group (80 µmol/L, group E), and MOR high dose group (100 µmol/L, group F). The proliferation activity of each group was detected by cell counting kit 8 (CCK-8) assay; the bone differentiation and mineralized nodule formation of each group were detected by alizarin red staining; real-time fluorescence quantitative PCR (RT-qPCR) was performed to detect cyclin-dependent kinase inhibitor 1A (P21), recombinant Cyclin D1 (CCND1), proliferating cell nuclear antigen (PCNA), alkaline phosphatase (ALP), collagen type Ⅰ (COL-1), bone morphogenetic protein 2 (BMP-2), and adenosine A2A receptor (A2AR) mRNA expressions; Western blot was used to detecte the expressions of osteopontin (OPN), Runt-related transcription factor 2 (RUNX2), and adenosine A2AR protein. Results: The CCK-8 assay showed that the absorbance ( A) values of groups B to F were significantly higher than that of group A at 24 hours of culture, with group C significantly higher than the rest of the groups ( P<0.05). The MOR concentration (20 µmol/L) of group C was selected for the subsequent CCK-8 assay; the results showed that the A values of group C were significantly higher than those of group A at 24, 48, and 72 hours of culture ( P<0.05). Alizarin red staining showed that orange-red mineralized nodules were visible in all groups and the number of mineralized nodules was significantly higher in groups B and C than in group A ( P<0.05). RT-qPCR showed that the relative expressions of P21, CCND1, and PCNA mRNAs were significantly higher in group C than in group A ( P<0.05). The expressions of ALP, BMP-2, COL-1, and adenosine A2AR mRNAs in groups B to E were significantly higher than those in group A, with the expressions of ALP, BMP-2, COL-1 mRNAs in group C significantly higher than the rest of the groups ( P<0.05). Compared with group A, the expressions of OPN and RUNX2 proteins in groups B and C were significantly increased, while those in group D and E were significantly inhibited ( P<0.05). There was no significant difference between groups B and C and between groups D and E ( P>0.05). The relative expression of adenosine A2AR protein in groups B to E was significantly higher than that in group A, with group C significantly higher than the rest of the groups ( P<0.05). Conclusion: MOR can promote the proliferation and osteogenic differentiation of MC3T3-E1 cells; the mechanism of MOR may be achieved by interacting with adenosine A2AR.

[Material manufacturability classification in high shear wet granulation process of Chinese medicine].

The high shear wet granulation(HSWG) process of Chinese medicine has a complicated mechanism. There are many influencing factors that contribute to this process. In order to summarize the manufacturability of different kinds of materials in HSWG, this paper constructed a material library composed of 11 materials, including 4 Chinese medicine extracts and 7 pharmaceutical excipients. Each material was described by 22 physical parameters. Several binders were employed, and their density, viscosity and surface tension were characterized. Combining empirical constraints and the principle of randomization, 21 designed experiments and 8 verification experiments were arranged. The partial least squares(PLS) algorithm was used to establish a process model in prediction of the median granule size based on properties of raw materials and binders, and process parameters. The surface tension and density of binders, as well as the maximum pore saturation were identified as key variables. In the latent variable space of the HSWG process model, all materials could be divided into three categories, namely the Chinese medicine extracts, the diluents and the disintegrants. The granulation of Chinese medicine extracts required low viscosity and low amount of binder, and the resulted granule sizes were small. The diluent powders occupied a large physical space, and could be made into granules with different granule sizes by adjusting the properties of binders. The disintegrants tended to be made into large granules under the condition of aqueous binder. The combination use of material database and multivariate modeling method is conducive to innovate the knowledge discovery of the wet granulation process of Chinese medicine, and provides a basis for the formulation and process design based on material attributes.

Tibetan Medicine for Diabetes Mellitus: Overview of Pharmacological Perspectives.

Diabetes mellitus (DM) and its complications pose a major public health threat which is approaching epidemic proportions globally. Current drug options may not provide good efficacy and even cause serious adverse effects. Seeking safe and effective agents for DM treatment has been an area of intensive interest. As a healing system originating in Tibet, Traditional Tibetan Medicine (TTM) has been widely used by Tibetan people for the prevention and treatment of DM and its complications for hundreds of years. Tibetan Materia Medica (TMM) including the flower of Edgeworthia gardneri (Wall.) Meisn., Phyllanthi Fructus, Chebulae Fructus, Huidouba, and Berberidis Cortex are most frequently used and studied. These TMMs possess hypoglycemic, anti-insulin resistant, anti-glycation, lipid lowering, anti-inflammatory, and anti-oxidative effects. The underlying mechanisms of these actions may be related to their α-glucosidase inhibitory, insulin signaling promoting, PPARs-activating, gut microbiota modulation, islet ß cell-preserving, and TNF-α signaling suppressive properties. This review presents a comprehensive overview of the mode and mechanisms of action of various active constituents, extracts, preparations, and formulas from TMM. The dynamic beneficial effects of the products prepared from TMM for the management of DM and its complications are summarized. These TMMs are valuable materia medica which have the potential to be developed as safe and effective anti-DM agents.

Evaluation of Beneficial and Adverse Effects of a Diet Supplemented with Schisandrae Fructus Seed Ethanol Extract on Lipid and Glucose Metabolism in Normal and Hypercholesterolemic/Hyperglycemic Mice.

Schisandrae Fructus (SF), the fruit of Schisandra chinensis (Turcz.) Baillon, has been used for the treatment of liver injury and metabolism-related disorders in China. The objective of this study was to investigate the effects of supplementation with ethanol extract of SF seed (EtSF-S) on serum/hepatic lipid and glucose levels as well as fecal total cholesterol (TC) contents in mice fed a normal diet (ND) or high-fat/fructose diet (HFFD) containing 15% lard oil and 15% fructose. Female ICR mice (18-20 g in body weight) were fed with ND or HFFD for 3 months, and then EtSF-S was added to both chow diets at increasing concentrations of 1, 5, and 10% (w/w). Thirty days later, serum and hepatic lipids, including TC, triglyceride (TG), high-density lipoprotein (HDL), low-density lipoprotein (LDL), and glucose, were measured. Dietary supplementation with EtSF-S reduced hepatic TC (36 and 18%) and TG levels (38 and 28%) and increased serum HDL/LDL ratio (16 and 26%) in both ND- and HFFD-fed mice, respectively. Moreover, supplementation with EtSF-S elevated serum HDL (31%) in HFFD-fed mice and reduced serum LDL (27%) in ND-fed mice. EtSF-S treatment reduced fat mass (40%) in ND-fed mice and increased fecal TC contents (33%) in HFFD-fed mice. EtSF-S supplementation decreased hepatic glucose contents (29%) in both ND- and HFFD-fed mice. However, diet supplemented with EtSF-S elevated serum TG levels (up to 123%) and hepatic size (28%), but more importantly, suppressed the body weight gain (approximately 130%) in mice fed with HFFD. These findings suggested that dietary supplementation with EtSF-S as natural herbal function food may be a useful strategy for the treatment of patients with fatty liver disease or overweight without a high intake of sugar and fat.

[Key technologies and applications of industrial big data in manufacturing of Chinese medicine].

Along with the striding of the Chinese medicine(CM) manufacturing toward the Industry 4.0, some digital factories have accumulated lightweight industrial big data, which become part of the enterprise assets. These digital assets possess the possibility of solving the problems within the CM production system, like the Sigma gap and the poverty of manufacturing knowledge. From the holistic perspective, a three-tiered architecture of CM industrial big data is put forward, and it consists of the data integration layer, the data analysis layer and the application scenarios layer. In data integration layer, sensing of CM critical quality attributes is the key technology for big data collection. In data analysis and mining layer, the self-developed iTCM algorithm library and model library are introduced to facilitate the implementation of the model lifecycle methodologies, including process model development, model validation, model configuration and model maintenance. The CM quality transfer structure is closely related with the connection mode of multiple production units. The system modeling technologies, such as the partition-integration modeling method, the expanding modeling method and path modeling method, are key to mapping the structure of real manufacturing system. It is pointed out that advance modeling approaches that combine the first-principles driven and data driven technologies are promising in the future. At last, real-world applications of CM industrial big data in manufacturing of injections, oral solid dosages, and formula particles are presented. It is shown that the industrial big data can help process diagnosis, quality forming mechanism interpretations, real time release testing method development and intelligent product formulation design. As renewable resources, the CM industrial big data enable the manufacturing knowledge accumulation and product quality improvement, laying the foundation of intelligent manufacturing.

An integrated strategy based on characteristic fragment filter supplemented by multivariate statistical analysis in multi-stage mass spectrometry chromatograms for the large-scale detection and identification of natural plant-derived components in rat: The rhubarb case.

An integrated strategy based on characteristic fragment filter (CFF) supplemented by multivariate statistical analysis (MSA) for MSn chromatograms [(CFF)s MSA] was proposed for the large-scale detection of natural plant-derived ingredients in vivo. To prove the practicability of this [(CFF)s MSA] strategy, rhubarb was taken as an example. First, representative authentic standards of homologous components contained in rhubarb were chosen, from which the fragmentation rules and chemical characteristic fragments (CCFs) were proposed. Second, the metabolic pathways of the representative compounds were deciphered, and the metabolic characteristic fragments (MCFs) of each family of compounds were acquired. Third, combined with CCFs and MCFs, a CFF method was established. Finally, MSA was used to supplement the xenobiotics missed by the CFF method. In our research, 274 compounds were detected in rhubarb, and 298 ingredients were identified in vivo after oral administration. The results demonstrated that this integrated strategy could comprehensively screen for plant-derived compounds in vivo.

Comparison of plasma pharmacokinetics of Tanreqing solution between intratracheal aerosolization and intravenous injection in rats.

A rapid ultra high performance liquid chromatography tandem mass spectrometry method was developed for the simultaneous analysis of baicalin, oroxylin A-7-O-ß-d-glucoronide and chlorogenic acid in rats plasma, and applied to comparison of pharmacokinetics of Tanreqing solution between intratracheal aerosolization and intravenous injection. Results of the analytical method validation assay showed high sensitivity, accuracy and suitable recovery. Results of pharmacokinetics showed similar decline phases for baicalin, oroxylin A-7-O-ß-d-glucoronide and chlorogenic acid in two different delivery routes. The half-lives of intratracheal aerosolization and intravenous injection were 0.90 and 1.22 h for baicalin, 0.47 and 0.17 h for oroxylin A-7-O-ß-d-glucoronide and 0.22 and 0.13 h for chlorogenic acid, and this implies that compounds were retained in the lung for a relatively short time. This study was the first to provide important pharmacokinetics information for traditional Chinese medicine delivery to the lung.

Overall uncertainty measurement for near infrared analysis of cryptotanshinone in tanshinone extract.

This study presented a new strategy of overall uncertainty measurement for near infrared (NIR) quantitative analysis of cryptotanshinone in tanshinone extract powders. The overall uncertainty of NIR analysis from validation data of precision, trueness and robustness study was fully investigated and discussed. Quality by design (QbD) elements, such as risk assessment and design of experiment (DOE) were utilized to organize the validation data. An "I×J×K" (series I, the number of repetitions J and level of concentrations K) full factorial design was used to calculate uncertainty from the precision and trueness data. And a 2(7-4) Plackett-Burmann matrix with four different influence factors resulted from the failure mode and effect analysis (FMEA) analysis was adapted for the robustness study. The overall uncertainty profile was introduced as a graphical decision making tool to evaluate the validity of NIR method over the predefined concentration range. In comparison with the T. Saffaj's method (Analyst, 2013, 138, 4677.) for overall uncertainty assessment, the proposed approach gave almost the same results, demonstrating that the proposed method was reasonable and valid. Moreover, the proposed method can help identify critical factors that influence the NIR prediction performance, which could be used for further optimization of the NIR analytical procedures in routine use.

Chemical constituents from branch of Fraxinus sieboldiana / 中国中药杂志

Using a combination of various chromatographic techniques including column chromatography over silica gel, Sephadex LH-20, macroporous adsorbent resin, and reversed-phase HPLC, 115 compounds including diterpenes, sesquiterpenes, treterpenes, coumarins, lignans, fatty acid derivatives, and simple aromatic derivatives were isolated from an ethanol extract of branch of Fraxinus sieboldiana (Oleaceaue), and their structures of the compounds were elucidated by spectroscopic methods including 1 D, 2D NMR and MS techniques. Among them, 41 compounds were new. In previous reports, we have been described the isolation, structure elucidation, and bioactivities of the 41 new compounds and 22 known orii including 8 coumarins, 4 phenolic and 12 phenylethanoidal glycosides. As a consequence, we herein reported the isolation and structure elucidation of the remaining 50 known compounds including 8- hydroxy-12-oxoabieta-9(11),13-dien-20-oic 8, 20-lactone(1), 6beta-hydroxyfcrruginol(2),(+)-pisiferic acid(3), (+)-pisiferal(4),(+)-7-dehydroabiet6none(5), 1-oxomiltirone(6), subdigitatone(7), linarionoside B(8), (9S)-linarionoside B(9), (3R,9R)-3-hydroxy-7,8-dihydro-beta-ionol 9-O-beta-D-apiofuranosyl-(1-->6)-beta-D-glucopyranoside(10), ursolic acid(11), betulinic acid(12), euscaphic acid(13), (+)-syringaresinol(14), (+)-fraxiresinol(15), (+)-1-hydroxysyringaresinol(16), pinoresinol(17), medioresinol(18), 8-acetoxypinoresinol(19), epipinoresinol(20), (-)-olivil(21), (+)-cyclo-olivil(22), 3,3'-dimethoxy-4,4',9-trihydroxy-7,9'-epoxylignan-7'-one(23),(+)-1-hydroxypinoresinol 4'-O-beta-D-glucopyranoside (24), (+)-1-hydroxypinoresinol 4"-O-beta-D-glucopyranoside(25),(+)-syringaresinol O-beta-D-glucopyranoside (26), liriodendrin (27), ehletianol D(28), icariside E5(29) (-)-(7R, 8R)-threo-1-C-syringylglycerol(30),(-)-(7R, 8S)-erythro-guaiacylglycerol (31),(-)-(7R, 8R)-threo-guaiacylglycerol(32), 3-(4-beta-D-glucopyranosyloxy-3-methoxy)-phenyl-2E-propenol(33),2,3-dihydroxy-l-(4-hydroxy-3,5-dimethoxyphenyl)-1-propanone(34), 2,3-dihydroxy-1-(4-hydroxy-3-methoxyphenyl)-1-propanone (35), 3-hydroxy-l-(4-hydroxy-3,5-dimethoxyphenyl)-1-propanone(36), omega-hydroxypropioguaiacone(37), sinapyladehyde(38), trans-p-hydroxycinnamaldehyde(39), syringic acid(40), vanilic acid(41), vanillin(42), 4-hydroxy-benzaldehyde (43), (24R)-24-ethyl-5alpha-cholestane-3beta,5,6beta-triol(44), beta-sitosterol(45), daucosterol(46), 2,6-dimethoxy-I,4-benzoquinone(47), 2,6-dimethoxy-pyran-4-one(48), 1-(beta-D-ribofuranosyl)uracil(49), and mannitol(50). Compouds 1-7,12,18,28-37,44 and 48 were obtained from the genus Fraxinus for the first time.