Ginseng improves cognitive deficit via the RAGE/NF-kB pathway in advanced glycation end product-induced rats

Xiaobin Tan,Junfei Gu,Bingjie Zhao,Shuyuan Wang,Jiarui Yuan,Chunfei Wang,Juan Chen,Jiping Liu,Liang Feng,Xiaobin Jia 고려인삼학회 2015 Journal of Ginseng Research Vol.39 No.2

Background: Ginseng, the root of Panax ginseng (PG), is used widely as a herbal medicine to prevent andtreat various diseases. Panax ginseng has pharmacological effects on neurodegenerative diseases such asAlzheimer’s disease (AD). The present study evaluated the neuroprotective effects of PG and its possibleneuroprotective mechanisms in advanced glycation end product (AGE)-induced AD in a rat model. Methods: Advanced glycation end products were injected bilaterally into the CA3 region of the rats’brains. The Morris water maze test and step-down type passive avoidance test were performed toevaluate their memory and cognitive abilities. The oxidation indexes in the hippocampus were detected. Immunohistochemistry was conducted to visualize the receptors for advanced glycation end products(RAGEs) and nuclear factor-kappa-light-chain-enhancer of activated B cell (NF-kB). Results: Behavioral results showed that PG (1 g/kg, 0.5 g/kg, and 0.25 g/kg) significantly shortened theescape latency, remarkably increased the number of crossing times, significantly decreased the numberof errors, and prolonged the latency in rats with AGE-induced AD. Panax ginseng also significantlyreduced the malondialdehyde level, increased the glutathione content, and increased superoxide dismutaseactivity in the hippocampus. Panax ginseng significantly decreased the expression of RAGE andNF-kB. The blockade of anti-RAGE antibody could significantly reduce AGE-induced impairments andregulate these expressions. Conclusion: Our results demonstrated that PG significantly inhibits AGE-induced memory impairmentand attenuates Alzheimer-like pathophysiological changes. These neuroprotective effects of PG may beassociated with the RAGE/NF-kB pathway. Our results provided the experimental basis for applying PG inpreventing and treating AD.

Ginseng improves cognitive deficit via the RAGE/NF-κB pathway in advanced glycation end product-induced rats

Tan, Xiaobin,Gu, Junfei,Zhao, Bingjie,Wang, Shuyuan,Yuan, Jiarui,Wang, Chunfei,Chen, Juan,Liu, Jiping,Feng, Liang,Jia, Xiaobin The Korean Society of Ginseng 2015 Journal of Ginseng Research Vol.39 No.2

Background: Ginseng, the root of Panax ginseng (PG), is used widely as a herbal medicine to prevent and treat various diseases. Panax ginseng has pharmacological effects on neurodegenerative diseases such as Alzheimer's disease (AD). The present study evaluated the neuroprotective effects of PG and its possible neuroprotective mechanisms in advanced glycation end product (AGE)-induced AD in a rat model. Methods: Advanced glycation end products were injected bilaterally into the CA3 region of the rats' brains. The Morris water maze test and step-down type passive avoidance test were performed to evaluate their memory and cognitive abilities. The oxidation indexes in the hippocampus were detected. Immunohistochemistry was conducted to visualize the receptors for advanced glycation end products (RAGEs) and nuclear factor-kappa-light-chain-enhancer of activated B cell (NF-${\kappa}B$). Results: Behavioral results showed that PG (1 g/kg, 0.5 g/kg, and 0.25 g/kg) significantly shortened the escape latency, remarkably increased the number of crossing times, significantly decreased the number of errors, and prolonged the latency in rats with AGE-induced AD. Panax ginseng also significantly reduced the malondialdehyde level, increased the glutathione content, and increased superoxide dismutase activity in the hippocampus. Panax ginseng significantly decreased the expression of RAGE and NF-${\kappa}B$. The blockade of anti-RAGE antibody could significantly reduce AGE-induced impairments and regulate these expressions. Conclusion: Our results demonstrated that PG significantly inhibits AGE-induced memory impairment and attenuates Alzheimer-like pathophysiological changes. These neuroprotective effects of PG may be associated with the RAGE/NF-${\kappa}B$ pathway. Our results provided the experimental basis for applying PG in preventing and treating AD.

Synergetics based damage detection of frame structures using piezoceramic patches

Xiaobin Hong,Jiaobiao Ruan,Guixiong Liu,Tao Wang,Youyong Li,Gangbing Song 국제구조공학회 2016 Smart Structures and Systems, An International Jou Vol.17 No.2

This paper investigates the Synergetics based Damage Detection Method (SDDM) for frame structures by using surface-bonded PZT (Lead Zirconate Titanate) patches. After analyzing the mechanism of pattern recognition from Synergetics, the operating framework with cooperation-competition-update process of SDDM was proposed. First, the dynamic identification equation of structural conditions was established and the adjoint vector (AV) set of original vector (OV) set was obtained by Generalized Inverse Matrix (GIM).Then, the order parameter equation and its evolution process were deduced through the strict mathematics ratiocination. Moreover, in order to complete online structural condition update feature, the iterative update algorithm was presented. Subsequently, the pathway in which SDDM was realized through the modified Synergetic Neural Network (SNN) was introduced and its assessment indices were confirmed. Finally, the experimental platform with a two-story frame structure was set up. The performances of the proposed methodology were tested for damage identifications by loosening various screw nuts group scenarios. The experiments were conducted in different damage degrees, the disturbance environment and the noisy environment, respectively. The results show the feasibility of SDDM using piezoceramic sensors and actuators, and demonstrate a strong ability of anti-disturbance and anti-noise in frame structure applications. This proposed approach can be extended to the similar structures for damage identification.

Active monitoring of pipeline tapered thread connection based on time reversal using piezoceramic transducers

Xiaobin Hong,Gangbing Song,Jiaobiao Ruan,Zhimin Zhang,Sidong Wu,Guixiong Liu 국제구조공학회 2016 Smart Structures and Systems, An International Jou Vol.18 No.4

The monitoring of structural integrity of pipeline tapered thread connections is of great significance in terms of safe operation in the industry. In order to detect effectively the loosening degree of tapered thread connection, an active sensing method using piezoceramic transducers was developed based on time reversal technique in this paper. As the piezoeramic transducers can be either as actuators or sensors to generate or detect stress waves, the energy transmission for tapered thread connection was analyzed. Subsequently, the detection principle for tapered thread connection based on time reversal was introduced. Finally, the inherent relationship between the contact area and tightness degree of tapered thread connection for the pipe structural model was investigated. Seven different contact area scenarios were tested. Each scenario was created by loosening connectors ranging from 3 turns to 4.5 turns in the right tapered threads when the contact area in the left tapered threads were 4.5 turns. The experiments were separately conducted with a highly noisy environment and various excitation signal amplitudes. The results show the focused peaks based on time reversal have the monotonously rising trend with the increase of the contact areas of tapered threads within an acceptable monitoring resolution for metal pipes. Compared with the energy method, the proposed time reversal based method to monitor tapered threads loosening demonstrates to be more robust in rejecting noise in Structural Health Monitoring (SHM) applications.

Non-probabilistic Integrated Reliability Analysis of Structures with Fuzzy Interval Uncertainties using the Adaptive GPR-RS Method

Minghui Liu,Xiaoling Wang,Xiaobin Zhu,Wenlong Chen,Xiao Li 대한토목학회 2019 KSCE JOURNAL OF CIVIL ENGINEERING Vol.23 No.9

Due to its weak dependence on the quantity of variable samples, the non-probabilistic reliability analysis method based on the convex set model is applicable to practical problems in structural engineering with inherent uncertainties. However, when dealing with the black-box limit-state function issues in practical complex structural engineering, the traditional quadratic polynomial response surface (QP-RS) method has the problem of insufficient precision in approximating a highly nonlinear function. Meanwhile, fixing the limits of interval variables is trickier in case of scant samples and meager statistical information. To remedy the above deficiencies, this paper introduces a reasonable integrated reliability analysis approach. First, an adaptive Gaussian process regression response surface (GPR-RS) method that dynamically improves the fitted accuracy near the design point of the black-box limit-state function is formulated. Furthermore, the integrated reliability index with consideration of fuzzy interval uncertainties is presented. Three validation and two application examples are employed, which have justified the approach as a more reasonable assessor of practical complex structural reliability with safer results.

Hypoglycemic and Antioxidant Activities of Paeonol and Its Beneficial Effect on Diabetic Encephalopathy in Streptozotocin-Induced Diabetic Rats

Jiping Liu,Shuyuan Wang,Liang Feng,Dongying Ma,Qiang Fu,Yu Song,Xiaobin Jia,Shiping Ma 한국식품영양과학회 2013 Journal of medicinal food Vol.16 No.7

Diabetic encephalopathy (DE) is one of the severe complications in patients with diabetes mellitus. Paeonol, an active compound isolated from the root bark of Paeonia suffruticosa, has significant antidiabetic activity in vivo. However, its underlying beneficial effects on DE were unclear. In the present study, the protective activity of paeonol on DE was evaluated in streptozotocin (STZ)-induced diabetic rats. Paeonol at 50 and 100mg/kg significantly increased body weight and decreased blood glucose levels, glycosylated serum proteins, and serum advanced glycation end products (AGEs) levels. Immunohistochemistry assays and Western blot analysis revealed a significant decrease in expressions on receptor for advanced glycation end products (RAGE) and nuclear factor kappa B (NF-jB) in hippocampus and cerebral cortical neurons after paeonol treatment. Furthermore, paeonol significantly increased glutathione content and remarkedly decreased induced nitric oxide synthase activity in hippocampus tissue. Our findings indicated that paeonol could improve the pathological damage of DE in STZ-induced diabetic rats. It might be associated with the modulating AGEs/RAGE/NF-jB pathway. This study suggested that paeonol might be a promising candidate for the prevention and treatment of DE.

A simple seed-embedded method to prepare ZIF-8 membranes supported on flexible PESf hollow fibers

Hangliao Zhang,Xiaobin Wang,Luyang Wei,Bo Meng,Xiaoyao Tan,Wanqin Jin,Shaomin Liu 한국공업화학회 2019 Journal of Industrial and Engineering Chemistry Vol.72 No.-

With intrinsic porous structure, unique chemical versatility and abundant application opportunities,MOF membranes have attracted substantial research enthusiasm. Most of these supported MOFmembranes are prepared on the rigid ceramic substrates. If the MOF membrane possessesflexibility, theapplication opportunities will be expanded. This paper presents the synthesis of ZIF-8 membranes on theflexible polyethersulfone (PESf) hollowfibers by using a facile seed-embedded method. The resultantmembranes were characterized by scanning electron microscopy, energy dispersive X-ray, X-raydiffraction and fourier transform infrared spectroscopy. The prepared membranes were in a continuousand compact structure and showed good molecular sieve performance of H2 over CO2, N2 and CH4 with H2permeance up to 1.110 5 mol m 2 s 1 Pa 1. Due to the preferential adsorption, ZIF-8/PESf compositemembrane exhibited high permeance of H2, N2, and CH4 compared to CO2, showing potential applicationsin efficient CO2 capture from industrial mixtures. The association between the gas permeation, theamount of embedded ZIF-8 crystals and the membrane thickness was also clarified. The reproducibilitywas significantly improved compared to the conventional secondary seeding method. Attributed to thestrong adhesion between the ZIF-8 and the PESf, the membranes displayed excellent stability andflexibility which could sustain bending up to 90 without breaking the ZIF-8 membrane. This seedembeddedmethod is not only simple, but also has good reproducibility and scalability.

Perovskite-based mixed protonic–electronic conducting membranes for hydrogen separation: Recent status and advances

Huina Wang,Xiaobin Wang,Bo Meng,Xiaoyao Tan,Kee Shyuan Loh,Jaka Sunarso,Shaomin Liu 한국공업화학회 2018 Journal of Industrial and Engineering Chemistry Vol.60 No.-

Hydrogen share in the energy market has increased significantly in line with greater demand for zero emission fuel and the development of novel production routes via renewable resources. The application of mixed protonic–electronic conducting (MPEC) ceramic membrane within the hydrogen production process is an innovative route that enables high purity hydrogen production with low cost. This review provides readers a brief summary of the research efforts on MPEC ceramic membrane for hydrogen separation as well as the membrane reactor for hydrogen production and dehydrogenation or hydrogenation reactions. Most of the existing MPEC ceramic membranes come from either a single-phase or a dual-phase membrane. We discuss the working principles, the performances, the advantages and disadvantages, and the main issues of all these membranes. Major emphasis of the review is to cover the literature published in the last ten years since the earlier progress has been well documented by the previously existing reviews. We also put forward recommendations for future research direction in this topic.

Neutron-irradiated effect on the thermoelectric properties of Bi2Te3-based thermoelectric leg

Zhao Huanyu,Liu Kai,Xu Zhiheng,Liu Yunpeng,Tang Xiaobin 한국원자력학회 2023 Nuclear Engineering and Technology Vol.55 No.8

Thermoelectric (TE) materials working in radioisotope thermoelectric generators are irradiated by neutrons throughout its service; thus, investigating the neutron irradiation stability of TE devices is necessary. Herein, the influence of neutron irradiation with fluences of 4.56 1010 and 1 1013 n/cm2 by pulsed neutron reactor on the electrical and thermal transport properties of n-type Bi2Te2.7Se0.3 and ptype Bi0.5Sb1.5Te3 thermoelectric alloys prepared by cold-pressing and molding is investigated. After neutron irradiation, the properties of thermoelectric materials fluctuate, which is related to the material type and irradiation fluence. Different from p-type thermoelectric materials, neutron irradiation has a positive effect on n-type Bi2Te2.7Se0.3 materials. This result might be due to the increase of carrier mobility and the optimization of electrical conductivity. Afterward, the effects of p-type and n-type TE devices with different treatments on the output performance of TE devices are further discussed. The positive and negative effects caused by irradiation can cancel each other to a certain extent. For TE devices paired with p-type Bi0.5Sb1.5Te3 and n-type Bi2Te2.7Se0.3 thermoelectric legs, the generated power and conversion efficiency are stable after neutron irradiation.

An Embedded Software Power Consumption Model based on Software Architecture and Support Vector Machine Regression

Xiong Wei,Xiaobin Liu,Bing Guo,Shen Yan,Wenli Zhang 보안공학연구지원센터 2016 International Journal of Smart Home Vol.10 No.3

As embedded devices prevail in daily life, high energy consumption caused by embedded software caught academic attentions. Multifarious testing and predicting methods are developed accordingly. This paper proposes a model about energy consumption of embedded device based on analysis of embedded software structure and support vector machine regression. The nonlinear relationship between energy consumption and software structure is revealed. The research finds software structure is determined by features like number of components, complexity of component interface, component coupling, and path length. These features are qualified and modeled by using support vector machine regression and energy consumption is predicted based on this model. The experiments results confirm the proposed model.