Antidepressant-like effect of ginsenoside Rb1 on potentiating synaptic plasticity via the miR-134emediated BDNF signaling pathway in a mouse model of chronic stress-induced depression

Guoli Wang,Tianyue An,Cong Lei,Xiaofeng Zhu,Li Yang,Lianxue Zhang,Ronghua Zhang 고려인삼학회 2022 Journal of Ginseng Research Vol.46 No.3

Brain-derived neurotrophic factor (BDNF)etropomyosin-related kinase B (TrkB) plays acritical role in the pathogenesis of depression by modulating synaptic structural remodeling and functional transmission. Previously, we have demonstrated that the ginsenoside Rb1 (Rb1) presents a novelantidepressant-like effect via BDNFeTrkB signaling in the hippocampus of chronic unpredictable mildstress (CUMS)-exposed mice. However, the underlying mechanism through which Rb1 counteractsstress-induced aberrant hippocampal synaptic plasticity via BDNFeTrkB signaling remains elusive. Methods: We focused on hippocampal microRNAs (miRNAs) that could directly bind to BDNF and areregulated by Rb1 to explore the possible synaptic plasticity-dependent mechanism of Rb1, which affordsprotection against CUMS-induced depression-like effects. Results: Herein, we observed that brain-specific miRNA-134 (miR-134) could directly bind to BDNF 30UTRand was markedly downregulated by Rb1 in the hippocampus of CUMS-exposed mice. Furthermore, thehippocampusetargeted miR-134 overexpression substantially blocked the antidepressant-like effects ofRb1 during behavioral tests, attenuating the effects on neuronal nuclei-immunoreactive neurons, thedensity of dendritic spines, synaptic ultrastructure, long-term potentiation, and expression of synapseassociated proteins and BDNFeTrkB signaling proteins in the hippocampus of CUMS-exposed mice. Conclusion: These data provide strong evidence that Rb1 rescued CUMS-induced depression-like effectsby modulating hippocampal synaptic plasticity via the miR-134-mediated BDNF signaling pathway.

Hybrid Model for Renewable Energy and Load Forecasting Based on Data Mining and EWT

Zhang Jinjin,Zhang Qian,Li Guoli,Wu Junjie,Wang Can,Li Zhi 대한전기학회 2022 Journal of Electrical Engineering & Technology Vol.17 No.3

Accurate renewable resource (RES) and load prediction play key roles in the power grid planning schemes, eff ective dispatch, and stable operation of power systems. The proportions of wind and solar energy continue to increase, leading to wind and light abandonment. Thus, the absorption of wind and photovoltaic power is particularly important. On the basis of accurately predicting load, wind power and photovoltaic output, the accommodation capacity of wind and photovoltaic power is analyzed. The work contains fi ve parts, as follows: (1) empirical wavelet transform (EWT) is used to decompose wind power and load. At the same time, isolated forest (iForest) and fuzzy C-means clustering (FCM) are used to process photovoltaic data. (2) Low frequency and intermediate frequency components of load are predicted by improved random forest (IRF). High frequency component of load is clustered by improved density-based spatial clustering of applications with noise (IDBSCAN). The processing model is selected on the basis of the characteristics of each class sample. Each component of wind power are predicted by IRF. (3) Photovoltaic power of each category is predicted by IRF. (4) Diff erent components of load and wind power data are added. The photovoltaic power forecast data are synthesized according to the time point. (5) The forecast value of load, wind power, and photovoltaic output of a city are comprehensively evaluated by the summarized prediction level indicators. Three accommodation indicators are used for analyzing the accommodation capacity of wind power and photovoltaic. Results show that the forecasting methods of load, wind power, and photovoltaic power can generate better forecasting results than conventional methods. The analysis results of supplementary prediction level and accommodation indices provide reference for eff ective grid dispatching, sustainable, and healthy energy development.

Bayesian Hybrid State Estimation for Unequal-length Batch Processes with Incomplete Observations

Guoli Ji,Yaozong Wang,Shunyi Zhao,Yunlong Liu,Kangkang Zhang,Bin Yao,Sun Zhou 제어·로봇·시스템학회 2017 International Journal of Control, Automation, and Vol.15 No.6

This paper investigates state estimation problem for batch processes with unequal-length batches as wellas incomplete observations. A Bayesian hybrid state estimation method is proposed based on two dimensional (2D)correlations of states. The states of equal-length segment of time are estimated according to both within-a-batchand batch-to-batch correlations, and the states of unequal-length segment are obtained according to the correlationswithin the batch. In this way, the batch process states can be achieved in both equal-length and unequal-lengthsituations, of which the latter one is a more general case. In order to approximate state distribution of nonlinearsystem and to deal with the problem of incomplete observations, particle filter (PF) is employed. The proposedmethod shows its superiority with a nonlinear system and a gas-phase reaction process. Compared to a typicalexisting method, the proposed method provides better estimation accuracy in the situation of equal-length batches,also it shows less sensitivity to incomplete observations.

Switched System Identification Based on the Constrained Multi-objective Optimization Problem with Application to the Servo Turntable

Qian Zhang,Qunjing Wang,Guoli Li 제어·로봇·시스템학회 2016 International Journal of Control, Automation, and Vol.14 No.5

Multi-model switching controllers can handle the complexity of process plants and other engineeredsystems, based on the switched system model. In this paper, a switched Nonlinear Auto Regressive Moving AverageeXogenous (NARMAX) model for a continuously mechatronic servo turntable system is proposed to make a betterdescription than the single structure model. Then the identification issue is converted into a constrained multiobjectiveoptimization problem (CMOP). Further, a kind of multi-objective particle swarm optimization algorithmis developed on the basis of Pareto optimality. The selection of global best location for each particle and themaintenance of the external archive are ensured in the same procedure in this algorithm. Finally, our theoreticalfindings are supported by simulation and experimental results.

Effect of Soyabean Isoflavones Exposure on Onset of Puberty, Serum Hormone Concentration and Gene Expression in Hypothalamus, Pituitary Gland and Ovary of Female Bama Miniature Pigs

Fan, Juexin,Zhang, Bin,Li, Lili,Xiao, Chaowu,Oladele, Oso Abimbola,Jiang, Guoli,Ding, Hao,Wang, Shengping,Xing, Yueteng,Xiao, Dingfu,Yin, Yulong Asian Australasian Association of Animal Productio 2015 Animal Bioscience Vol.28 No.11

This study was to investigate the effect of soyabean isoflavones (SIF) on onset of puberty, serum hormone concentration, and gene expression in hypothalamus, pituitary and ovary of female Bama miniature pigs. Fifty five, 35-days old pigs were randomly assigned into 5 treatment groups consisting of 11 pigs per treatment. Results showed that dietary supplementation of varying dosage (0, 250, 500, and 1,250 mg/kg) of SIF induced puberty delay of the pigs with the age of puberty of pigs fed basal diet supplemented with 1,250 mg/kg SIF was significantly higher (p<0.05) compared to control. Supplementation of SIF or estradiol valerate (EV) reduced (p<0.05) serum gonadotrophin releasing hormone and luteinizing hormone concentration, but increased follicle-stimulating hormone concentration in pigs at 4 months of age. The expression of KiSS-1 metastasis-suppressor (KISS1), steroidogenic acute regulatory protein (StAR) and 3-beta-hydroxysteroid dehydrogenase/delta-5-delta-4 isomerase ($3{\beta}-HSD$) was reduced (p<0.01) in SIF-supplemented groups. Expression of gonadotropin-releasing hormone receptor in the pituitary of miniature pigs was reduced (p<0.05) compared to the control when exposed to 250, 1,250 mg/kg SIF and EV. Pigs on 250 mg/kg SIF and EV also showed reduced (p<0.05) expression of cytochrome P450 19A1 compared to the control. Our results indicated that dietary supplementation of SIF induced puberty delay, which may be due to down-regulation of key genes that play vital roles in the synthesis of steroid hormones.

Global Disease Burden and Attributable Risk Factor Analysis of Asthma in 204 Countries and Territories From 1990 to 2019

Liu Hailing,Zhang Jing,Liu Li,Lian Guoli,Shi Ruiming,Xu Man,Yang Juan,Liu Xiaohong 대한천식알레르기학회 2023 Allergy, Asthma & Immunology Research Vol.15 No.4

Purpose: Asthma is a common chronic inflammatory respiratory tract disease with high morbidity and mortality. The global trends in asthma burden remain poorly understood, and asthma incidence has increased during the worldwide coronavirus disease 2019 (COVID-19) pandemic. This study aimed to provide a comprehensive view of the global distribution of asthma burden and its attributable risk factors from 1990 to 2019. Methods: Based on the Global Burden of Disease Study 2019 Database, asthma incidence, deaths, disability-adjusted life years (DALYs), the corresponding age-standardized incidence rate (ASIR), age-standardized death rate (ASDR), age-standardized DALY rate, and estimated annual percentage change were analyzed according to age, sex, sociodemographic index (SDI) quintiles, and locations. Risk factors contributing to asthma deaths and DALYs were also investigated. Results: Globally, the asthma incidence increased by 15%, but deaths and DALYs decreased. The corresponding ASIR, ASDR, and age-standardized DALY rate also decreased. The high SDI region had the highest ASIR, and the low SDI region had the highest ASDR. The ASDR and age-standardized DALY rate were negatively correlated with the SDI. The low-middle SDI region, particularly South Asia, showed the highest asthma-related deaths and DALYs. The incidence peak was under 9 years old, and more than 70% of all deaths occurred in the population over 60 years old. Smoking, occupational asthmagens, and a high body mass index were the main risk factors for asthma-related mortality and DALYs, and their distributions varied between sexes. Conclusions: Globally, the asthma incidence has increased since 1990. The greatest asthma burden is borne by the low-middle SDI region. The 2 groups that need special attention are those under 9 years old and those over 60 years old. Targeted strategies are needed to reduce the asthma burden based on geographic and sex-age characteristics. Our findings also provide a platform for further investigation into the asthma burden in the era of COVID-19.

Enhanced corrosion resistance by polypyrrole and Ti3C2Tx-acrylic epoxy double-layer coating for 304SS bipolar plates of PEMFC

Haifeng Bian,Guoli Zhang,Qingxi Zhai,Yanyan Du,Yujie Ma,Beibei Yang,Shaochun Tang,Duan Bin,Xiangkang Meng,Hongbin Lu 한국공업화학회 2023 Journal of Industrial and Engineering Chemistry Vol.122 No.-

Stainless steel (SS) is a promising material for designing bipolar plates (BPs), but their further applicationis limited by serious corrosion problems in the acidic environment. Ti3C2Tx is expected to be used for SSBPs coatings, while galvanic corrosion will occur after the damage of Ti3C2Tx coating. Herein, a PPY/Ti3C2Tx-AE double-layer coating (DC) is well-designed and prepared on 304SS BP, which is composedof an inner electropolymerized PPY layer and an outer Ti3C2Tx-acrylic epoxy layer. When tested in0.2 M HCl solution, the corrosion potential and corrosion current density of the DC are 38 mV and0.00927 lA cm2 respectively, which are superior to those of the PPY coating and the Ti3C2Tx coating. Moreover, the DC presents the best long-term stability among the three coatings. The excellent corrosionresistance is attributed to the barrier and anodic protection effects as well as the solution of galvanic corrosion. The new coating system provides a new insight into the design of DC coatings of SS BPs.

Forage Production and Water Use Efficiency of Three Lucerne Varieties at Different Soil Water Availabilities

Huimin Yang,Guoli Liu,Shubin He,Yuying Shen,Xiaoyan Zhang 한국초지조사료학회 2009 한국초지조사료학회 학술대회논문집 Vol.2009 No.08

Forage production and water use efficiency (WUE) of Lucerne were investigated in three varieties at different water availabilities. Forage production decreased with the severity of soil water availability. At 50% field water capacity (FWC), forage production dropped but in two varieties, Algonquin and Longdong, was still high and from 75%FWC to 50%FWC, forage production in Longdong decreased at the least rate. The greatest leaf WUE was observed in Longdong at all soil water availabilities. From 75%FWC to 50%FWC, it increased in Longdong and Xinjiangdaye, but decreased in Algonquin. With the severity of water deficit, δ¹³C value increased in all three varieties. At the same water availability, the greatest value was observed in Longdong. It suggested that moderate water stress can improve WUE in Lucerne. Longdong is to some extent more efficient in water use and may be more drought-tolerant with more steady production at moderate water deficit.

Preparation of Copper Nanoparticles and Catalytic Properties for the Reduction of Aromatic Nitro Compounds

Zhongyu Duan,Guoli Ma,Wenjun Zhang 대한화학회 2012 Bulletin of the Korean Chemical Society Vol.33 No.12

A novel copper nanoparticles were synthesized from cupric sulfate using hydrazine as reducing reagents. A series of aromatic nitro compounds were reacted with sodium borohydride in the presence of the copper nanoparticles catalysts to afford the aromatic amino compounds in high yields. Additionally, the catalysts system can be recycled and maintain a high catalytic effect in the reduction of aromatic nitro compounds.

Ginsenoside Rg3 nanoparticles with permeation enhancing based chitosan derivatives were encapsulated with doxorubicin by thermosensitive hydrogel and anti-cancer evaluation of peritumoral hydrogel injection combined with PD-L1 antibody

Wu Hao,Wei Guoli,Luo Lixia,Li Lingchang,Gao Yibo,Tan Xiaobin,Wang Sen,Chang Haoxiao,Liu Yuxi,Wei Yingjie,Song Jie,Zhang Zhenhai,Huo Jiege 한국생체재료학회 2023 생체재료학회지 Vol.27 No.00

Combination of chemotherapy and immune checkpoint inhibitor therapy has greatly improved the anticancer effect on multiple malignancies. However, the efficiency on triple-negative breast cancer (TNBC) is limited, since most patients bear “cold” tumors with low tumor immunogenicity. Doxorubicin (DOX), one of the most effective chemotherapy agents, can induce immunogenic cell death (ICD) and thus initiating immune response.In this study, to maximize the ICD effect induced by DOX, chitosan and cell-penetrating peptide (R6F3)-modified nanoparticles (PNPs) loaded with ginsenoside Rg3 (Rg3) were fabricated using the self-assembly technique, followed by co-encapsulation with DOX based on thermo-sensitive hydrogel. Orthotopic tumor model and contralateral tumor model were established to observe the antitumor efficacy of the thermo-sensitive hydrogel combined with anti-PD-L1 immunotherapy, besides, the biocompatibility was also evaluated by histopathological.Rg3-PNPs strengthened the immunogenic cell death (ICD) effect induced by DOX. Moreover, the hydrogel co-loading Rg3-PNPs and DOX provoked stronger immune response in originally nonimmunogenic 4T1 tumors than DOX monotherapy. Following combination with PD-L1 blocking, substantial antitumor effect was achieved due to the recruitment of memory T cells and the decline of adaptive PD-L1 enrichment.The hydrogel encapsulating DOX and highly permeable Rg3-PNPs provided an efficient strategy for remodeling immunosuppressive tumor microenvironment and converting immune “cold” 4T1 into “hot” tumors.