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  • Bentham Science Publishers Ltd.  (5)
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  • Bentham Science Publishers Ltd.  (5)
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  • 1
    In: Current Bioinformatics, Bentham Science Publishers Ltd., Vol. 17, No. 7 ( 2022-08), p. 586-598
    Abstract: Ganoderic acid Me [GA-Me], a major bioactive triterpene extracted from Ganoderma lucidum, is often used to treat immune system diseases caused by viral infections. Although triterpenes have been widely employed in traditional medicine, the comprehensive mechanisms by which GA-Me acts against viral infections have not been reported. Sendai virus [SeV] -infected host cells have been widely employed as an RNA viral model to elucidate the mechanisms of viral infection. Methods: In this study, SeV- and mock-infected [Control] cells were treated with or without 54.3 μM GA-Me. RNA-Seq was performed to identify differentially expressed mRNAs, followed by qRT-PCR validation for selected genes. GO and KEGG anal yses were applied to investigate potential mechanisms and critical pathways associated with these genes. Results: GA-Me altered the levels of certain genes’ mRNA, these genes revealed are associated pathways related to immune processes, including antigen processing and presentation in SeV-infected cells. Multiple signaling pathways, such as the mTOR pathway, chemokine signaling pathway, and the p53 pathways, correlate significantly with GA-Me activity against the SeV infection process. qRT-PCR results were consistent with the trend of RNA-Seq findings. Moreover, PPI network analysis identified 20 crucial target proteins, including MTOR, CDKN2A, MDM2, RPL4, RPS6, CREBBP, UBC, UBB, and NEDD8. GA-Me significantly changed transcriptome-wide mRNA profiles of RNA polymerase II/III, protein posttranslational and immune signaling pathways. Conclusion: These results should be further assessed to determine the innate immune response against SeV infection, which might help in elucidating the functions of these genes affected by GA-Me treatment in virus-infected cells, including cells infected with SARS-CoV-2.
    Type of Medium: Online Resource
    ISSN: 1574-8936
    Language: English
    Publisher: Bentham Science Publishers Ltd.
    Publication Date: 2022
    SSG: 12
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  • 2
    Online Resource
    Online Resource
    Bentham Science Publishers Ltd. ; 2021
    In:  Current Pharmaceutical Biotechnology Vol. 22, No. 10 ( 2021-07-07), p. 1380-1391
    In: Current Pharmaceutical Biotechnology, Bentham Science Publishers Ltd., Vol. 22, No. 10 ( 2021-07-07), p. 1380-1391
    Abstract: Cistanche tubulosa is a tonic in traditional Chinese medicines and has a broad spectrum of biological activity, including anti-inflammatory. However, the anti-inflammatory major constituents of C. tubulosa and their underlying mechanisms are still unknown. Objective: The aim of the current study was to explore the separation and structural characterization of lignan glycosides from C. tubulosa (Schenk) Wight., their anti-inflammatory activity and the underlying mechanism. Materials and Methods: Fractionation and isolation of the 85% EtOH extract of C. tubulosa (Schenk) Wight. were carried out and the primary ingredients lignan glycosides (1-6) were structurally characterized. CCK8 methods were used to evaluate the cytotoxic effect of lignan glycosides (1-6). Effects of lignan glycosides (1-6) on NO production in LPS/IFN-γ-induced RAW264.7 macrophages cells were measured using Griess reagent by reaction with nitrite. The mRNA expression levels of iNOS, COX-2, IL-1β, IL-6, TNF-a, and TGF-β treated RAW264.7 cells with various concentrations (0, 25 and 50 μg/ml) of lignan glycosides (1, 4) in the presence of LPS (10 ng/ml) and IFN-γ (20 ng/ml) for 24 h were analyzed by quantitative RT-PCR. Also, the protein expressions of iNOS, COX-2, PI3K, AKT, p-AKT and β -actin were determined using Western blot analysis. A molecular docking study was performed to investigate the interactions between the lignan glycosides and the PI3K using Autodock vina 1.1.2 package. Results: Six lignan glycosides (1-6) were isolated from stems of C. tubulosa. Among them, (+)- pinoresinol-4-O-β-D-glucopyranosyl-(1→6)-β-D-glucopyranoside (5) and eleutheroside E (6) were firstly isolated from C. tubulosa. Of these lignans, 1 and 4 exhibited pronounced inhibitions on NO production with the values of 33.63 ± 4.78 and 39.28 ± 5.52 % at 50 μg/ml, respectively. Additionally, LPS/IFN-γ-induced expression of inducible Nitric Oxide Synthase (iNOS), Cyclooxygenase-2 (COX-2), Interleukin-1β (IL-1β), IL-6, and Tumor Necrosis Factor-a (TNF-a) was significantly suppressed by pre-treatment of 1 and 4 in a dose-dependent manner. While 1 and 4 increased the mRNA levels of anti-inflammatory cytokines (TGF-β). Furthermore, 1 and 4 significantly inhibited the protein levels of PI3K and p-AKT in a dose-dependent manner. Conclusion: Taken together, these results suggest that 1 and 4 play an important role in the attenuation of LPS/IFN-γ-induced inflammatory responses in RAW264.7 cells and that the mechanisms involve down-regulation of the PI3K/AKT pathway.
    Type of Medium: Online Resource
    ISSN: 1389-2010
    Language: English
    Publisher: Bentham Science Publishers Ltd.
    Publication Date: 2021
    SSG: 15,3
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  • 3
    Online Resource
    Online Resource
    Bentham Science Publishers Ltd. ; 2022
    In:  Current Pharmaceutical Biotechnology Vol. 23, No. 6 ( 2022-05), p. 847-860
    In: Current Pharmaceutical Biotechnology, Bentham Science Publishers Ltd., Vol. 23, No. 6 ( 2022-05), p. 847-860
    Abstract: Baicalin, a flavonoid glycoside compound present in Scutellaria baicalensis, has shown a wide spectrum of biological activities, but its liposolubility, water-solubility and mucosal permeability are all very poor, which leads to the low concentration in brain and poor bioavailability by oral or intravenous injective administration. Objective: The primary objective of this study was to formulate the Scutellaria baicalensis extract (SBE) with phospholipid to yield Scutellaria baicalensis extract-phospholipid complex (SBEPC) , and to evaluate its pharmacodynamics in the middle cerebral artery occlusion (MCAO). Methods: The optimal preparation technology of SBEPC was obtained through single-factor test and central composite design-response surface methodology (CCD-RSM), and was characterized with various analytical techniques including SEM, FT-IR and NMR. The storage conditions of SBEPC were established through stability study and the MCAO rat model was investigated through conducting pharmacodynamic studies to screen the appropriate administration and dose of SBEPC as well as to verify the neuroprotective effect of SBEPC on cerebral ischemia-reperfusion injury. Results: The optimized preparation conditions of SBEPC were summarized as follows: the ratio of phospholipids to drug was 2:1, the drug concentration was 3.5 mg/ml, the reaction temperature was 50 °C, and the entrapment efficiency was over 93.00%. Stability studies have demonstrated that SBEPC should be stored under 40 °C in a dry and ventilated place away from light and below 37% humidity. Furthermore, pharmacodynamic studies have found that, compared with SBE, SBEPC could introduce drugs into the brain and better exert the neuroprotective effect on MCAO rats, and the optimal administration and dose concentration of SBEPC were nasal administration and 40 mg/ml, respectively. Conclusion: These findings demonstrate that SBEPC is successfully prepared by CCD-RSM. SBEPC can enhance drugs' ability to enter the brain and improve the bioavailability of drugs in brain, and can effectively exert the neuroprotective effect on cerebral ischemia-reperfusion injury as compared with SBE.
    Type of Medium: Online Resource
    ISSN: 1389-2010
    Language: English
    Publisher: Bentham Science Publishers Ltd.
    Publication Date: 2022
    SSG: 15,3
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  • 4
    Online Resource
    Online Resource
    Bentham Science Publishers Ltd. ; 2019
    In:  Recent Patents on Mechanical Engineering Vol. 13 ( 2019-12-19)
    In: Recent Patents on Mechanical Engineering, Bentham Science Publishers Ltd., Vol. 13 ( 2019-12-19)
    Abstract: Battery technology has been one of the bottlenecks in electric cars. Whether it is in theory or in practice, the research on battery management is extremely important, especially for battery state-of-charge estimation. In fact, the battery has a strong time change and non-linear properties, which are extremely complex systems. Therefore, accurate estimating the state of charge is a challenging thing. Objective: The study aims to report the latest progress in the studies of the state-of-charge estimation methods for electric vehicle battery. Methods: This paper reviews various representative patents and papers related to the state of charge estimation methods for electric vehicle battery. According to their theoretical and experimental characteristics, the estimation methods were classified into three groups: the traditional estimation algorithm based on the battery experiment, the estimation algorithm based on modern control theory and other estimation algorithm based on the innovative ideas, especially focusing on the algorithms based on control theory. Results: The advantages and disadvantages, current and future developments of the state-of-charge estimation methods are finally provided and discussed. Conclusion: Each kind of state of charge estimation method has its own characteristics, suitable for different occasions. At present, algorithms based on control theory, especially intelligent algorithms, are the focus of research in this field. The future development direction is to establish rich database, improve hardware technology, put up with more perfect battery model, and give full play to the advantages of each algorithm.
    Type of Medium: Online Resource
    ISSN: 2212-7976
    Language: English
    Publisher: Bentham Science Publishers Ltd.
    Publication Date: 2019
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  • 5
    Online Resource
    Online Resource
    Bentham Science Publishers Ltd. ; 2020
    In:  Recent Patents on Mechanical Engineering Vol. 13, No. 2 ( 2020-05-31), p. 126-140
    In: Recent Patents on Mechanical Engineering, Bentham Science Publishers Ltd., Vol. 13, No. 2 ( 2020-05-31), p. 126-140
    Abstract: The power performance of an electric vehicle is the basic parameter. Traditional test equipment, such as the expensive chassis dynamometer, not only increases the cost of testing but also makes it impossible to measure all the performance parameters of an electric vehicle. Objective: A set of convenient, efficient and sensitive power measurement system for electric vehicles is developed to obtain the real-time power changes of hub-motor vehicles under various operating conditions, and the dynamic performance parameters of hub-motor vehicles are obtained through the system. Methods: Firstly, a set of on-board power test system is developed by using virtual instrument (Lab- VIEW). This test system can obtain the power changes of hub-motor vehicles under various operating conditions in real-time and save data in real-time. Then, the driving resistance of hub-motor vehicles is analyzed, and the power performance of hub-motor vehicles is studied in depth. The power testing system is proposed to test the input power of both ends of the driving motor, and the chassis dynamometer is combined to test so that the output efficiency of the driving motor can be easily obtained without disassembly. Finally, this method is used to carry out the road test and obtain the vehicle dynamic performance parameters. Results: The real-time current, voltage and power, maximum power, acceleration time and maximum speed of the vehicle can be obtained accurately by using the power test system in the real road experiment. Conclusion: The maximum power required by the two motors reaches about 9KW, and it takes about 20 seconds to reach the maximum speed. The total power required to maintain the maximum speed is about 7.8kw, and the maximum speed is 62km/h. In this article, various patents have been discussed.
    Type of Medium: Online Resource
    ISSN: 2212-7976
    Language: English
    Publisher: Bentham Science Publishers Ltd.
    Publication Date: 2020
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