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A new benzofuran-type neolignan (1), two new phenylpropanoids (2 - 3), and one new C21 steroid (4) were isolated from the ethyl acetate extract of the roots of Dolomiaea souliei by chromatographic methods, including silica gel, ODS column chromatography, MPLC, and semi-preparative HPLC. Their structures were identified as dolosougenin A (1), (S)-3-isopropylpentyl (E)-3-(4-hydroxy-3-methoxyphenyl) acrylate (2), (S)-3-isopropylpentyl (Z)-3-(4-hydroxy-3-methoxyphenyl) acrylate (3) and dolosoucin A (4) through various spectroscopic techniques including 1D NMR, 2D NMR, IR, UV, HR ESI MS, ORD, and computational ORD methods. [ABSTRACT FROM AUTHOR]

The synergistic effect and compatibility structure of active anti-inflammatory ingredients(iridoid glycosides: shanzhiside methylester and 8-O-acetylshanzhiside methyl ester, flavonoid glycoside: luteoloside, and phenylethanoid glycoside: forsythoside B) from Lamiophlomis rotata were explored based on network pharmacology and component structure theory. In network pharmacology, CTD, SwisseTargetPrediction, and PharmMapper databases were used to collect and screen the targets of all active ingredients. The inflammation-related targets were obtained from CTD and GeneCards databases. The core targets were obtained by Venny 2.1.0, STRING, and Cytoscape 3.9.1. Core targets were annotated by the GO function and enriched by the KEGG pathway based on the DAVID database. In terms of component structure, based on a uniform design method and xylene-induced ear swelling model in mice, tumor necrosis factor-α and interleukin-6 were taken as the dependent variables, and the compatibility relationship among anti-inflammatory ingredients from L. rotata was explored through the quadratic polynomial stepwise regression. In addition, in vivo pharmacological experiments were conducted to verify the results. A network pharmacology study showed that compared with a single ingredient, the combined action of the three ingredients can synergistically exert anti-inflammatory effects through more biological processes, pathways, and targets. Component structure study showed that the optimal structural ratio of shanzhiside methylester and 8-O-acetylshanzhiside methyl ester in the iridoid glycoside ingredient was 1.21∶1. The optimal structural ratio among the three types of ingredients(iridoid glycosides∶phenylethanol glycoside∶flavonoid glycoside) was 4.8∶1.6∶1. In conclusion, each anti-inflammatory ingredient from L. rotata can work synergistically, and there is an optimal compatibility ratio relationship among these ingredients. This work provides a new experimental basis for the intrinsic quality control of L. rotata.

The present study analyzed the chemical constituents in dried roots of Dolomiaea souliei. Chromatographic methods, such as normal-phase, and reversed-phase column chromatography, TLC, and preparative HPLC, were applied to separate and purify the petroleum ether extract of D. souliei. The structures of the purified constituents were identified by multiple spectroscopic methods including 1 D NMR, 2 D NMR, IR, UV, and HR-ESI-MS. Fourteen triterpenoids were obtained and identified as bauer-8-ene-3,11-dione-7α-ol(1), bauer-8-ene-3-one-7α,11α-diol(2), 3-oxo-11α-hydroxy-urs-12-ene(3), 3-oxour-12-ene-1β,11α-diol(4), 3β,11α-dihydroxy-urs-12-ene(5), taraxast-20-ene-3β,30-diol(6), 28-hydroxy-3-oxo-12-ursene(7), 3β-hydroxytaraxast-20-ene-30-aldehyde(8), urs-12-ene-2α,3β,28-triol(9), 20-hydroxylupan-3-one(10), monogynol A(11), obtusalin(12), 3-oxo, 11α-hydroxy-olean-12-ene(13), and isocabralealactone(14). Among them, compounds 1 and 2 were new compounds. Compounds 4-10, 12, and 14 were isolated from this genus for the first time. Compounds 3 and 11 were obtained from D. souliei for the first time.

To explore the mechanism of anti-inflammatory and analgesic effect of Zanthoxyli Pericarpium based on network pharmacology and inflammatory or pain mouse models. The effective components of Zanthoxyli Pericarpium were screened out by TCMSP database. And their potential corresponding targets were predicted by PharmMapper software. The possible targets relating to inflammation and pain were mainly collected through DrugBank, TTD and DisGeNET databases. The "active ingredient-gene-disease" network diagram was constructed by Cytoscape 3.7.0 software. The network pharmacology results showed 5 potential effective compounds, which were related to 29 targets; 132 targets relating to inflammation and pain were screened out in the DrugBank, TTD and DisGeNET databases. The network analysis results indicated that the phosphatidylinositol 3-kinase catalytic subunit gamma isoform(PIK3 CG) gene may be the key to the anti-inflammatory and analgesic effect of Zanthoxyli Pericarpium. The anti-inflammatory and analgesic effects of essential oil extract and dichloromethane extract of Zanthoxyli Pericarpium were explored through the mouse model of inflammation induced by xylene or carrageenan and the mouse model of pain induced by acetic acid or formalin. The experimental results showed that essential oil extract and dichloromethane extract of Zanthoxyli Pericarpium could reduce xylene-induced ear swelling and carrageenan-induced paw swelling and decrease the number of writhing responses in mice induced by acetic acid and the licking foot time of mice in phase Ⅱ induced by formalin. Western blot results showed that Zanthoxyli Pericarpium extract could inhibit the expressions of PIK3 CG, phosphonated nuclear factor kappaB(p-NF-κB) and phosphonated p38(p-p38 MAPK) protein. The present study showed the anti-inflammatory and analgesic effect of Zanthoxyli Pericarpium through multiple components and targets, so as to provide a pharmacodynamic basis for the study of Zanthoxyli Pericarpium and its mechanism.

We aimed to study whether the methane emission from rice paddy with straw return can be alleviated in microbial fuel cells (MFCs). In our study, the soil mixed with 0. 5% ( mass fraction) rice straw was packed into MFCs reactors, then flooded with excess of sterilized water and transplanted with rice seedlings followed by the operation of MFCs. The MFCs were operated for 98 days covering five stages of seeding, tillering, mid-season aeration, rice filling, and ripening. The voltage data were recorded continuously and in real time during the MFCs operation and the methane emitted was collected once a week using the static chamber method and the methane emission flux was determined by gas chromatography. The results showed that the MFCs current increased and reached the peak value in the seeding and tillering stages and the operation of MFCs significantly reduced the accumulative methane emission in these two stages. The possible reason could be that the electrogens competed with methanogens for organic substrates. The height, the above and below ground biomass, and the productivity of rice plants were not significantly affected by the 98-day operation of MFCs. Our study provides a potential green and sustainable technology for the reduction of CH, emission from rice paddy fields.

Microbial fuel cells ( microbial fuel cells, MFCs) are devices in which micro-organisms convert chemical energy into electrical power. Soil has electrogenic bacteria and organic substrates, thus can generate electrical current in MFCs. Soil MFCs can be operated and applied to real-time and continuously monitor soil pollution, remove soil pollutants and to reduce methane emitted from flooded rice paddy, without energy consumption and the application of chemical reagents to the soil. Instead, the operation of soil MFCs generates small amount of electrical power. Therefore, soil MFCs are useful in the development of environment-friendly technology for monitoring and remediating soil pollution, which have potential value for applications in the domain of environmental science and engineering. However, much of advanced technology hasn't been applied into soil MFCs since the studies on soil MFCs was not started until recently. This paper summarized the research progress in related to soil MFCs combining with the frontier of MFCs technology, and brought forward the possible direction in studies on soil MFCs.

Objective: To establish an HPLC fingerprint of Anisodus tanguticus root for its quality control., Methods: The analysis was carried out on a Ultimate AQ C18 (250 mm x 4.6 mm, 5 μm) column with the gradient elution of acetonitrile and KH2PO4 buffer soution, whose pH was adjusted to 3.0 with phosphoric acid. The flow rate, column temperature, detection wavelength and injection volume was 1.0 mL/min, 30 degrees C, 210 nm and 10 μL separately. The similarity evaluation and principal component analysis were used to analyze HPLC fingerprint of Anisodus tanguticus root., Results: HPLC fingerprint of Anisodus tanguticus root was established with 15 common peaks by determining 18 batches of Anisodus tanguticus root samples. Four characteristic peaks, anisodine, scopolamine, anisodamine and anisodamine, were confirmed by comparing their retention time and UV spectrum with standard reference substances. The simiarities of 18 batches of Anisodus tanguticus root were between -0.891 and 0.987. Comprehensive evaluation scores of 18 batches of Anisodus tanguticus root were between -0.85 and 0.89 by principal component analysis., Conclusion: The established HPLC fingerprint has good precision, repeatability and stability, which can provide more comprehensive information for identification and quality control of Anisodus tanguticus root.