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  • Hindawi Limited  (5)
  • 1
    Online Resource
    Online Resource
    PGE2 Elevates IL-23 Production in Human Dendritic Cells via a cAMP Dependent Pathway
    Hindawi Limited ; 2015
    In:  Mediators of Inflammation Vol. 2015 ( 2015), p. 1-7
    Details
    In: Mediators of Inflammation, Hindawi Limited, Vol. 2015 ( 2015), p. 1-7
    Abstract: PGE2 elevates IL-23 production in mouse dendritic cells while inhibits IL-23 production in isolated human monocytes. Whether this differential effect of PGE2 on IL-23 production is cell-type- or species-specific has not been investigated in detail. The present study was designed to investigate the effect of PGE2 on IL-23 production in human DCs and the possible underlying mechanisms. Human monocytes derived dendritic cells (Mo-DCs) were pretreated with or without PGE2. Then the cells were incubated with zymosan. Our results demonstrated that PGE2 promoted zymosan-induced IL-23 production in a concentration dependent manner. In addition, it was found that PGE2 is also able to elevate MyD88-mediated IL-23 p19 promoter activity. More importantly, ELISA data demonstrated that db-cAMP, a cAMP analog, and forskolin, an adenylate cyclase activator, can mimic the effect of PGE2 on zymosan-induced IL-23 production, and rp-cAMP, a protein kinase A (PKA) inhibitor, can block the effect of PGE2. Moreover, PGE2 can increase zymosan-induced expression of the mRNA levels of both p19 and p40 subunits, which was mimicked by db-cAMP and forskolin. Our data suggest that PGE2 elevates the production of IL-23 in human Mo-DCs via a cAMP dependent pathway.
    Type of Medium: Online Resource
    ISSN: 0962-9351 , 1466-1861
    URL: Article
    DOI: 10.1155/2015/984690
    Language: English
    Publisher: Hindawi Limited
    Publication Date: 2015
    detail.hit.zdb_id: 2008065-7
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  • 2
    Online Resource
    Online Resource
    Changes in Hippocampal Plasticity in Depression and Therapeutic Approaches Influencing These Changes
    Hindawi Limited ; 2020
    In:  Neural Plasticity Vol. 2020 ( 2020-11-26), p. 1-16
    Details
    In: Neural Plasticity, Hindawi Limited, Vol. 2020 ( 2020-11-26), p. 1-16
    Abstract: Depression is a common neurological disease that seriously affects human health. There are many hypotheses about the pathogenesis of depression, and the most widely recognized and applied is the monoamine hypothesis. However, no hypothesis can fully explain the pathogenesis of depression. At present, the brain-derived neurotrophic factor (BDNF) and neurogenesis hypotheses have highlighted the important role of plasticity in depression. The plasticity of neurons and glial cells plays a vital role in the transmission and integration of signals in the central nervous system. Plasticity is the adaptive change in the nervous system in response to changes in external signals. The hippocampus is an important anatomical area associated with depression. Studies have shown that some antidepressants can treat depression by changing the plasticity of the hippocampus. Furthermore, caloric restriction has also been shown to affect antidepressant and hippocampal plasticity changes. In this review, we summarize the latest research, focusing on changes in the plasticity of hippocampal neurons and glial cells in depression and the role of BDNF in the changes in hippocampal plasticity in depression, as well as caloric restriction and mitochondrial plasticity. This review may contribute to the development of antidepressant drugs and elucidating the mechanism of depression.
    Type of Medium: Online Resource
    ISSN: 1687-5443 , 2090-5904
    URL: Article
    DOI: 10.1155/2020/8861903
    Language: English
    Publisher: Hindawi Limited
    Publication Date: 2020
    detail.hit.zdb_id: 2236872-3
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  • 3
    Online Resource
    Online Resource
    Functional Nanorealgar Quantum Dots with Aggregation-Induced Emission Enhancement for Tumor Neovascular-Targeted Theranostics
    Hindawi Limited ; 2023
    In:  Journal of Nanomaterials Vol. 2023 ( 2023-1-17), p. 1-13
    Details
    In: Journal of Nanomaterials, Hindawi Limited, Vol. 2023 ( 2023-1-17), p. 1-13
    Abstract: Realgar, a traditional Chinese medicine, has notable antitumor activity and can be used in various hematologic tumor and solid tumor therapies in a wide range of clinical applications. Nanosized realgar possesses higher surface activity and enhanced therapeutic effects on cancer cells compared with those of bulk realgar. In this study, we reported the design of high-performance nanorealgar quantum dots (NR QDs) with aggregation-induced emission enhancement of crystal units (CUs) with the addition of hydrochloric acid. The enhanced fluorescence characteristics of NR QDs are associated with an optimized crystal structure obtained by accelerating the growth process of NR CUs in which the smaller NR CUs facilitate a self-assembling arrangement and a complete structural optimization process, ultimately forming regular crystallization with a size quantization effect. To improve the theranostic efficiency of NR QDs, we synthesized NR QDs coupled with a tripeptide of arginine–glycine–aspartic acid (RGD) with tumor neovascular targeting. We intravenously injected NR@RGD QDs into BALB/c mice bearing a subcutaneously transplanted breast tumor (4T1). Our results indicate that functional NR@RGD QDs are effective chemotherapeutic drugs that can anchor into the tumor endothelial cells through an active targeting effect, inhibit the angiogenesis in the tumor, and eventually “cut-off” the nutrient-rich blood supply to the tumor. This promising antiangiogenesis therapeutic strategy induces NR@RGD QDs to penetrate tumor-fenestrated vascular networks and has potential clinical value.
    Type of Medium: Online Resource
    ISSN: 1687-4129 , 1687-4110
    URL: Article
    DOI: 10.1155/2023/6560141
    Language: English
    Publisher: Hindawi Limited
    Publication Date: 2023
    detail.hit.zdb_id: 2229480-6
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  • 4
    Online Resource
    Online Resource
    Blockchain-Based Information Supervision Model for Rice Supply Chains
    Hindawi Limited ; 2022
    In:  Computational Intelligence and Neuroscience Vol. 2022 ( 2022-3-29), p. 1-17
    Details
    In: Computational Intelligence and Neuroscience, Hindawi Limited, Vol. 2022 ( 2022-3-29), p. 1-17
    Abstract: Rice is a major food crop around the world, and its various quality and safety problems are closely related to human health. As an important area of food safety research, the rice supply chain has attracted increasing attention. Based on blockchain technology, this study investigated problems of data privacy and circulation efficiency caused by complex rice supply networks, long circulation cycles, and various risk factors in each link. First, we deconstructed the quality and safety of each link of the rice supply chain at the information level and established a key information classification table for each link. On that basis, we built a rice supply chain information supervision model based on blockchain. Various encryption algorithms are used to secure the sensitive data of enterprises in the supply chain to meet regulators’ needs for efficient supervision. Moreover, we propose a practical Byzantine fault-tolerant consensus algorithm that scores the credit of enterprise nodes, optimizes the selection strategy of master nodes, and ensures high efficiency and low cost. Then, we built a prototype system based on the open-source framework of hyperledger fabric, analyzed the model’s viability, and implemented the system using cases. The results indicated that the proposed system can optimize the information supervision process of rice supply chain regulators and provide a feasible solution for the quality and safety supervision of grain and oil.
    Type of Medium: Online Resource
    ISSN: 1687-5273 , 1687-5265
    URL: Article
    DOI: 10.1155/2022/2914571
    Language: English
    Publisher: Hindawi Limited
    Publication Date: 2022
    detail.hit.zdb_id: 2388208-6
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  • 5
    Online Resource
    Online Resource
    Assessing Urban Road Network Capacity considering Parking Supply and Parking Pricing
    Hindawi Limited ; 2020
    In:  Journal of Advanced Transportation Vol. 2020 ( 2020-10-28), p. 1-17
    Details
    In: Journal of Advanced Transportation, Hindawi Limited, Vol. 2020 ( 2020-10-28), p. 1-17
    Abstract: To enhance the assessment of the network capacity for a given urban road system, the effects of the parking management strategies at destination areas are supposed to be considered in the network capacity assessment model. This study provides an extended road network capacity model which takes into consideration both the parking supply and parking pricing at each traffic zone. The network capacity model is formulated as a bilevel programming problem, with the maximization of total trip generation in the upper level and the combined trip distribution and traffic assignment (CTDTA) problem in the lower level. To reasonably characterize the impacts of the parking pricing and parking delay due to the congestion effect, two classes of travel demand are involved in the CTDTA model. An efficient and practical algorithm is provided for the solution of the bilevel network capacity model. Numerical experiments show the advantages of the proposed model and also demonstrate the effect of the parking supply and parking pricing on the assessment results of the road network capacity.
    Type of Medium: Online Resource
    ISSN: 2042-3195 , 0197-6729
    URL: Article
    DOI: 10.1155/2020/8820680
    Language: English
    Publisher: Hindawi Limited
    Publication Date: 2020
    detail.hit.zdb_id: 2553327-7
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