Synergistic effect of paeoniflorin combined with luteolin in alleviating Lipopolysaccharides-induced acute lung injury.

ETHNOPHARMACOLOGICAL RELEVANCE: Acute lung injury (ALI) is an acute multifactorial infectious disease caused by trauma, pneumonia, shock and sepsis. Paeoniae Radix Rubra (Paeonia lactiflora Pall. or Paeonia veitchii Lynch, Chishao in Chinese, CS) and Salviae Miltiorrhizae Radix et Rhizoma (Salvia miltiorrhiza Bge., Lamiaceae, Danshen in Chinese, DS) are common traditional Chinese medicines (TCMs). CS-DS herb pair has been widely used to promote blood circulation and eliminate blood stasis in Chinese clinical practice, appearing in a variety of prescriptions. However, it is still unclear for the effect and active ingredients of the herb pair on ALI. AIM OF THE STUDY: The study investigated the effect and active ingredients of CS-DS herb pair and demonstrated the synergistic effect and mechanisms of the active ingredients. MATERIALS AND METHODS: Lipopolysaccharides (LPS)-stimulated RAW264.7 macrophage cells and BALB/c mice were used to establish an ALI model to investigate the effect of CS-DS herb pair on ALI. Network pharmacology and molecular docking were used to analyze the active ingredients and potential mechanisms of the herb pair. The synergistic effects and mechanisms of active ingredients on ALI were validated by in vitro and in vivo experiments. RESULTS: CS-DS herb pair had a synergistic effect on LPS-induced ALI. Based on the network pharmacology, the compounds paeoniflorin and luteolin were screened. Both paeoniflorin and luteolin had good affinity for NF-κB and MAPK by molecular docking. LPS stimulation of RAW264.7 cells resulted in a significant increase in ROS, NO, TNF-α, IL-6 and IL-1ß, while the paeoniflorin combined with luteolin significantly reduced their expressions. In the LPS-induced ALI model, the combination also reduced the expression of inflammatory factors and oxidative stress levels. Furthermore, LPS activated the NF-κB and MAPK signaling pathways, whereas the combination decreased the expression of proteins in both pathways. CONCLUSION: CS-DS herb pair alleviated LPS-induced ALI with the active ingredients paeoniflorin and luteolin, which suppressed inflammation and oxidative stress via regulation of NF-κB and MAPK signaling pathways.

Aspirin boosts the synergistic effect of EGFR/p53 inhibitors on lung cancer cells by regulating AKT/mTOR and p53 pathways.

The regimen of afatinib and vinorelbine has been used to treat breast or lung cancer cells with some limitations. Aspirin alone or in combination with other agents has shown unique efficacy in the treatment of cancer. We designed a preclinical study to investigate whether the triple therapy of aspirin, afatinib, and vinorelbine could synergistically inhibit the growth of p53 wild-type nonsmall cell lung cancer (NSCLC) cells. Three NSCLC cells A549, H460, and H1975 were selected to study the effect of triple therapy on cell proliferation and apoptosis. Compared to single agents, triple therapy synergistically inhibited the proliferation of lung cancer cells with combination index <1. Meanwhile, the therapeutic index of triple therapy was superior to that of single agents, indicating a balance between efficacy and safety in the combination of three agents. Mechanistic studies showed that triple therapy significantly induced apoptosis by decreasing mitochondrial membrane potential, increasing reactive oxygen species, and regulating mitochondria-related proteins. Moreover, epidermal growth factor receptor (EGFR) downstream signaling proteins including JNK, AKT, and mTOR were dramatically suppressed and p53 was substantially increased after NSCLC cells were exposed to the triple therapy. We provided evidence that the triple therapy of aspirin, afatinib and vinorelbine synergistically inhibited lung cancer cell growth through inactivation of the EGFR/AKT/mTOR pathway and accumulation of p53, providing a new treatment strategy for patients with p53 wild-type NSCLC.

[Application progress on data-driven technologies in intelligent manufacturing of traditional Chinese medicine extraction].

The application of new-generation information technologies such as big data, the internet of things(IoT), and cloud computing in the traditional Chinese medicine(TCM)manufacturing industry is gradually deepening, driving the intelligent transformation and upgrading of the TCM industry. At the current stage, there are challenges in understanding the extraction process and its mechanisms in TCM. Online detection technology faces difficulties in making breakthroughs, and data throughout the entire production process is scattered, lacking valuable mining and utilization, which significantly hinders the intelligent upgrading of the TCM industry. Applying data-driven technologies in the process of TCM extraction can enhance the understanding of the extraction process, achieve precise control, and effectively improve the quality of TCM products. This article analyzed the technological bottlenecks in the production process of TCM extraction, summarized commonly used data-driven algorithms in the research and production control of extraction processes, and reviewed the progress in the application of data-driven technologies in the following five aspects: mechanism analysis of the extraction process, process development and optimization, online detection, process control, and production management. This article is expected to provide references for optimizing the extraction process and intelligent production of TCM.

[Research on batch-to-batch quality control of compound Danshen extract based on physical characterization and multivariate statistical analysis].

Physical attributes of Chinese herbal extracts are determined by their chemical components, and the physical and chemical attributes jointly affect the preparation process performance and the final product quality. Therefore, in order to improve the quality control of Chinese herbal extracts, we should comprehensively study the batch-to-batch consistency of physical and chemical attributes as well as the correlations between them. This paper first explored the physical attributes affecting the preparation process performance of the compound Danshen extract and developed a method for characterizing the texture attributes. With such main chemical components as water, phenolic acids, saponins, and saccharides and texture, rheology, and other physical attributes taken into consideration, the batch-to-batch quality fluctuation of products from different production lines and time was analyzed by principal components analysis(PCA). Finally, the correlation and partial least squares(PLS) analysis was conducted, and the regression equation was established. The fitting result of the PLS model for dynamic viscosity was satisfying(R~2Y=0.857, Q~2=0.793), suggesting that the chemical components could be adjusted by the component transfer rate in the extraction process, the impurity removal rate in the alcohol precipitation process, and the water retention rate of the concentration process to meet the control of the extract dynamic viscosity. This study clarified the correlations between physical and chemical attributes of the compound Danshen extract and established a method for controlling its physical attributes based on process regulation, which would provide reference for improving the quality control of Chinese herbal extracts.

[Research on feedforward control method of mixing process for compound Danshen Dripping Pills based on quality by design(QbD)].

The mixing process is one of the key operation units for solid preparation of traditional Chinese medicine. The physical properties such as particle size, density and viscosity of the mixture are key factors that need to be controlled, which will directly affect the performance of the preparation molding process and product quality. Subsequent dripping process performance and appearance qua-lity of dripping pills will be affected by dynamic viscosity of materials in the mixing process. Based on this, with mixing process of compound Danshen dripping pills as the object, a feedforward control method for the dripping pill mixing process was established based on the concept of quality by design(QbD). Firstly, critical quality attribute(CQA)-dynamic viscosity, critical material attributes(CMAs)-the moisture content of compound Danshen extract, average molecular weight of polyethylene glycol 6000 and critical process parameter(CPP)-mixing temperature were identified through the analysis of properties for multiple batches of the raw materials and excipients as well as technological mechanism. Then the Box-Behnken experimental design was used to establish the regression model among CMA, CPP and CMA(R■=0.972 0, RMSE =16.24) to obtain the design space. Finally, through the verification of three batches within the design space, the mixing process temperature was adjusted according to the properties of the raw materials and exci-pients to achieve accurate control of the dynamic viscosity attribute. The relative deviation between the actual dynamic viscosity value and the target value was less than 3.0 %. The feedforward control of the mixing process of compound Danshen dripping pills was rea-lized in this study, which can contribute to improving quality consistency of the mixing process intermediates, simultaneously provide a reference for the research on the process quality control of other Chinese medicine dripping pills.

[Optimization of extraction technology from Paeoniae Radix Alba using response surface methodology].

To ensure the stability of chemistry components and the convenience of operation, ultrasound method was chosen to study in this investigation. As the total common peaks area in chromatograms was set to be evaluation index, the influence on the technology caused by extraction time, ethanol concentration and liquid-to-solid ratio was studied by using single factor methodology, and the extraction technology of Paeoniae Radix Alba was optimized by using response surface methodology. The results showed that the extracting results were most affected by ethanol concentration; liquid-to-solid ratio came the second and extraction time thirdly. The optimum ultrasonic-assisted extraction conditions were as follow: the ultrasonic extraction time was 20.06 min, the ethanol concentration in solvent was 72.04%, and the liquid-to-solid ratio was 53.38 mL · g(-1), the predicted value of total common peaks area was 2.1608 x 10(8). Under the extraction conditions after optimization, the total common peaks area was 2.1422 x 10(8), and the relative deviation between the measured and predicted value was 0.86%, so the optimized extraction technology for Paeoniae Radix Alba is suitable and feasible. Besides, for the purpose of extracting more sufficiently and completely, the optimized extraction technology had more advantages than the extraction method recorded in the monogragh of Paeoniae Radix Alba in Chinese Pharmacopoeia, which will come true the assessment and utilization comprehensively.

[Study on chemical components distribution in Paeoniae Radix Alba and its processing methods].

After studying the discipline of chemical components distribution in peony root, it was found that the content distribution of albiflorin, paeoniflorin, benzoylpaeoniflorin and paeonol was inhomogeneous in different parts of peony root, as same as in different roots belonging to a same plant. Therefore, in order to minimize the effects of different qualities of materials on experimental result, the content changing percentages of four chemical components was chosen as indicators to study processing method of Paeoniae Radix Alba. The processing technique of Paeoniae Radix Alba was put peony roots in the boiled water for at most ten minutes, and cut them into 2-3 mm slices after peeling the root bark, finally dry them in a oven under 55 degrees C, which was similar to the traditional processing method used in Bozhou. And the peeling, boiling and drying methods would affect the contents of albiflorin, paeoniflorin, benzoylpaeoniflorin and paeonol on several levels.

[Determination of chemical components of Paeoniae Radix Alba decoction pieces and its quality evaluation].

OBJECTIVE: An UPLC method was developed to evaluate the quality of Paeoniae Radix by simultaneously determining four components, paeoniflorin, albiflorin, benzoylpaeoniflorin and paeonol in Paeoniae Radix Alba decoction pieces. METHOD: The UPLC chromatographic column was ACQUITY UPLC® HSS T3. The mobile phase was acetonitrile-0.05% phosphoric acid water with gradient elution. The column temperature was 30 °C and detection wavelength was 230 nm with a flow rate of 0.4 mL · min(-1). A linear model was obtained through principal component analysis (PCA), and PCA scores were used to evaluate the quality of Radix Paeoniae Alba decoction pieces comprehensively. RESULT: Paeoniflorin, albiflorin, benzoylpaeoniflorin and paeonol could be well separated from other components, and the results of specificity, precision, repeatability, linearity, recovery rate and stability reached the standards, respectively. The content of paeoniflorin in 9 batches of Paeoniae Radix Alba decoction pieces was below the standard given by Chinese Pharmacopoeia (2010 edition). Using the comprehensive scoring method with principal component analysis, the results showed that the samples from Zhejiang province have better quality than those from Anhui and Shandong provinces. CONCLUSION: The method established in this study can effectively determine the content of paeoniflorin, albiflorin, benzoylpaeoniflorin and paeonol, which could be used for quality control of Paeoniae Radix Alba.

Growth of Hexagonal Columnar Nanograin Structured SiC Thin Films on Silicon Substrates with Graphene-Graphitic Carbon Nanoflakes Templates from Solid Carbon Sources.

We report a new method for growing hexagonal columnar nanograin structured silicon carbide (SiC) thin films on silicon substrates by using graphene-graphitic carbon nanoflakes (GGNs) templates from solid carbon sources. The growth was carried out in a conventional low pressure chemical vapor deposition system (LPCVD). The GGNs are small plates with lateral sizes of around 100 nm and overlap each other, and are made up of nanosized multilayer graphene and graphitic carbon matrix (GCM). Long and straight SiC nanograins with hexagonal shapes, and with lateral sizes of around 200-400 nm are synthesized on the GGNs, which form compact SiC thin films.

[Numerical taxonamy of Paris plants].

Numerical taxonomic studies were carried out in order to elucidate the taxonomic relationship among 17 species belonging to Paris. Eighteen characters including 10 morphological, 4 pollen morphological, 2 cytotalonomical and 2 habitat characters were used for the analysis. On basis of UPGMA clustering analysis, two subgenus and seven groups were recognized. The classification of the two subgenus was different from the opinion of subgenus Daiswa and subgenus Paris by Li Heng. The classification of sect. Dunnianae, sect. Axiparis and sect. Paris was correspondence with the classification of Li Heng. But sect. Fargesianae, sect. Marmoratae and sect. Thibeticae which were established based on the especially characters by Li Heng were put into cluster 2, cluster 3 and cluster 4.

Qualitative and quantitative determination of major saponins in Paris and Trillium by HPLC-ELSD and HPLC-MS/MS.

High-performance liquid chromatographic (HPLC) with evaporative light scattering detection (ELSD) and HPLC with electrospray ionization multistage tandem mass spectrometry (HPLC-ESI-MS(n)) were used to identify and quantify steroid saponins in Paris and Trillium plants. The content of the known saponins such as Paris I, II, III, V, VI, VII, H, gracillin and protodioscin in Paris and Trillium plants was determined simultaneously using the developed HPLC-ELSD method. Furthermore, other 12 steroid saponins were identified by HPLC-ESI(+/-)-MS(n) detection. In the end, a developed analytical procedure was proved to be a reliable and rapid method for the quality control of Paris and Trillium plants. In addition, the alternative resources for Paris yunnanensis used as a traditional Chinese medicine were discovered according to the hierarchical clustering analysis of the saponin fraction of these plants.

Evaluation of the in vivo anti-inflammatory effects of extracts from Pyrus bretschneideri Rehd.

Pyrus bretschneideri Rehd., as a pharmaceutical supplement, is widely used in northern China to treat respiratory diseases. Our previous studies showed the ethanol extract of P. bretschneideri had significant anti-inflammatory activity. To isolate and identify the active ingredients, the ethanol extract was separated into petroleum ether, ethyl acetate, n-butanol, and aqueous fractions. The bioactivity of each fraction was investigated using an in vivo model. Results showed that the ethyl acetate fraction exhibited the strongest anti-inflammatory effect. Subsequently, this fraction was subjected to separation and purification using silica gel column chromatography, C18-ODS, and recrystallization, leading to two sterols and two triterpenes, which were identified as ß-sitosterol, daucosterol, oleanolic acid, and ursolic acid. Moreover, all of the isolated compounds could significantly inhibit the ear edema induced by xylene. These results indicated that P. bretschneideri had good anti-inflammatory effects and the constituents ß-sitosterol, daucosterol, oleanolic acid, and ursolic acid might well account for it.

[Flavone and steroid chemical constituents from rhizome of Paris axialis].

OBJECTIVE: To study the chemical constituents from the rhizome of Paris axialis. METHOD: The compounds were isolated by column chromatography with silica gel and purified by Sephadex LH-20 column chromatography and preparative RP-HPLC. The structures were identified by means of spectroscopic methods. RESULT: Fourteen compounds were isolated from the EtOAc extract and the n-BuOH extract of P. axialis. Their structures were identified as daucosterol (1), stigmasterol-3-O-beta-D-glycopyranoside (2), beta-ecdysterone (3), pennogenin-3-O-alpha-L-arabinofuranosyl (1 --> 4) -[alpha-L -rhamnopyranosyl (1 --> 2)] -beta-D-glycopyranoside (4), diosgenin-3-O-alpha-L- rhamnopy-ranosyl (1 --> 4) -alpha-L-rhamnopyranosyl (1 --> 4) [alpha-L-rhamnopyranosyl (1 --> 2)] -beta-D-glycopyranoside (5), kaempferol (6), rutin (7), myrincitrin (8), 4, 2', 4'-trihydroxychalcone (9), isorhamnetin-3-O-beta-D- glycopyranoside (10), isorhamnetin-3-O-alpha-L-rhamnopyranosyl (1 --> 2) -beta-D-glycopyranoside (11), isorhamnetin-3-O-beta-D-glucpyranosyl (1 --> 6) -beta-D-glycopyranoside (12), kayaflavone (13), amentoflavone (14). CONCLUSION: Compounds 1-3 and 6-14 are isolated from P. axialis for the first time; and compounds 7-10, 13, 14 are isolated from the genus Paris for the first time.