Effects of adenovirus-mediated bFGF, IL-1Ra and IGF-1 gene transfer on human osteoarthritic chondrocytes and osteoarthritis in rabbits

Biao Chen,Liaobin Chen,Jun Qin,Hui Wang,Jacques Magdalou 생화학분자생물학회 2010 Experimental and molecular medicine Vol.42 No.10

The study investigated the effects of adenovirus-mediated gene transfection of basic fibroblast growth factor (bFGF), bFGF combined with interleukin-1 receptor antagonist protein (IL-Ra) and/or insulin-like growth factor-1 (IGF-1) both in human osteoarthritis (OA) chondrocytes and rabbits OA model. Human OA chondrocytes were delivered by adenovirus-mediated bFGF, IL-Ra and IGF-1 vectors, respectively. Chondrocyte proliferation, glycosaminoglycan (GAG) content,expression of type II collagen, ADAMTS-5, MMP-13,MMP-3 and TIMP-1 were determined. Rabbit OA model was induced by anterior cruciate ligament transaction (ACLT) in knees. Adenoviral vectors encoding human bFGF, IL-Ra and IGF-1 were injected intraarticularly into the knee joints after ACLT. The effects of adenovirus-mediated gene transfection on rabbit OA were evaluated. In vitro, the transfected genes were expressed in cell supernatant of human OA chondrocytes. AdbFGF group significantly promoted chondrocyte proliferation, and increased GAG and type II collagen synthesis than in the OA group. As two or three genes were transfected in different combinations,there was significant enhancement on the GAG content, type II collagen synthesis, and TIMP-1 levels,while ADAMTS-5, MMP-13, and MMP-3 levels were reduced. In vivo, the transfected genes were expressed in synovial fluid of rabbits. Intraarticular delivery of bFGF enhanced the expression of type II collagen in cartilage and decreased cartilage Mankin score compared with the OA control group (P = 0.047; P < 0.01,respectively). Multiple-gene transfection in different combinations showed better results than bFGF transfection alone. This study suggests that bFGF gene transfection is effective in treating experimental OA. Multiple gene transfection has better biologic effects on OA.

Effects of adenovirus-mediated bFGF, IL-1Ra and IGF-1 gene transfer on human osteoarthritic chondrocytes and osteoarthritis in rabbits

Chen, Biao,Qin, Jun,Wang, Hui,Magdalou, Jacques,Chen, Liaobin Korean Society for Biochemistry and Molecular Bion 2010 Experimental and molecular medicine Vol.42 No.10

The study investigated the effects of adenovirus-mediated gene transfection of basic fibroblast growth factor (bFGF), bFGF combined with interleukin-1 receptor antagonist protein (IL-Ra) and/or insulin-like growth factor-1 (IGF-1) both in human osteoarthritis (OA) chondrocytes and rabbits OA model. Human OA chondrocytes were delivered by adenovirus-mediated bFGF, IL-Ra and IGF-1 vectors, respectively. Chondrocyte proliferation, glycosaminoglycan (GAG) content, expression of type II collagen, ADAMTS-5, MMP-13, MMP-3 and TIMP-1 were determined. Rabbit OA model was induced by anterior cruciate ligament transaction (ACLT) in knees. Adenoviral vectors encoding human bFGF, IL-Ra and IGF-1 were injected intraarticularly into the knee joints after ACLT. The effects of adenovirus-mediated gene transfection on rabbit OA were evaluated. In vitro, the transfected genes were expressed in cell supernatant of human OA chondrocytes. AdbFGF group significantly promoted chondrocyte proliferation, and increased GAG and type II collagen synthesis than in the OA group. As two or three genes were transfected in different combinations, there was significant enhancement on the GAG content, type II collagen synthesis, and TIMP-1 levels, while ADAMTS-5, MMP-13, and MMP-3 levels were reduced. In vivo, the transfected genes were expressed in synovial fluid of rabbits. Intraarticular delivery of bFGF enhanced the expression of type II collagen in cartilage and decreased cartilage Mankin score compared with the OA control group (P = 0.047; P < 0.01, respectively). Multiple-gene transfection in different combinations showed better results than bFGF transfection alone. This study suggests that bFGF gene transfection is effective in treating experimental OA. Multiple gene transfection has better biologic effects on OA.

何處休閑:資本和權力下的都市 休閑空間分析

( Zhan Biao Chen ) 국민대학교 중국지식네트워크 2014 중국지식네트워크 Vol.4 No.-

當代城市普遍存在著休閑空間궤乏的問題, 造成這種現象主要與以下三個因素相關: (1) 休閑空間爲“城市化”所“抹除”;(2) 休閑空間爲“特權者”所“圈占”;(3) 休閑空間爲“公家人”所“出賣”。正是在“唯利是圖的資本”和“損公肥私的權力”的雙重夾擊下, 城市休閑空間被제兌、被獨占、被出賣。要改變這種情形, 恢復城市必要的休閑空間, 壹方面要放棄“利益最大化”的“算盤思維”, 壹方面要破除“權爲我所用, 利爲我所謀”的“權力意識”。 The contemporary city exists the problem of lack of leisure space. There are three factors accounting for this phenomenon:(1) The leisure space is erased by the urbanization; (2) The leisure space is occupied by the privilege people; (3)The leisure space is sold by the ones who live on the public finance. Under the attacking of the capital and power, city leisure space is cut ,occupied, and sold. To change this situation and restore the city leisure space necessary, one should abandon the abacus thinking(profit maximization) and the power consciousness(seeking profit for me by privilege).

Label-aligned multi-task feature learning for multimodal classification of Alzheimer’s disease and mild cognitive impairment

Zu, Chen,Jie, Biao,Liu, Mingxia,Chen, Songcan,Shen, Dinggang,Zhang, Daoqiang SPRINGER SCIENCE AND BUSINESS MEDIA 2016 BRAIN IMAGING AND BEHAVIOR Vol.10 No.4

<P>Multimodal classification methods using different modalities of imaging and non-imaging data have recently shown great advantages over traditional single-modality-based ones for diagnosis and prognosis of Alzheimer's disease (AD), as well as its prodromal stage, i.e., mild cognitive impairment (MCI). However, to the best of our knowledge, most existing methods focus on mining the relationship across multiple modalities of the same subjects, while ignoring the potentially useful relationship across different subjects. Accordingly, in this paper, we propose a novel learning method for multimodal classification of AD/MCI, by fully exploring the relationships across both modalities and subjects. Specifically, our proposed method includes two subsequent components, i.e., label-aligned multi-task feature selection and multimodal classification. In the first step, the feature selection learning from multiple modalities are treated as different learning tasks and a group sparsity regularizer is imposed to jointly select a subset of relevant features. Furthermore, to utilize the discriminative information among labeled subjects, a new label-aligned regularization term is added into the objective function of standard multi-task feature selection, where label-alignment means that all multi-modality subjects with the same class labels should be closer in the new feature-reduced space. In the second step, a multi-kernel support vector machine (SVM) is adopted to fuse the selected features from multi-modality data for final classification. To validate our method, we perform experiments on the Alzheimer's Disease Neuroimaging Initiative (ADNI) database using baseline MRI and FDG-PET imaging data. The experimental results demonstrate that our proposed method achieves better classification performance compared with several state-of-the-art methods for multimodal classification of AD/MCI.</P>

Hyperglycemia-induced accumulation of advanced glycosylation end products in fibroblast-like synoviocytes promotes knee osteoarthritis

Li Qingxian,Wen Yinxian,Wang Linlong,Chen Biao,Chen Jun,Wang Hui,Chen Liaobin 생화학분자생물학회 2021 Experimental and molecular medicine Vol.53 No.-

Osteoarthritis (OA) is significantly associated with diabetes, but how hyperglycemia induces or aggravates OA has not been shown. The synovium plays a critical role in cartilage metabolism and substance exchange. Herein, we intended to investigate whether and how hyperglycemia affects the occurrence and progression of OA by influencing the synovium. In patients with knee OA and diabetes (DM OA), we found a more severe inflammatory response, higher endoplasmic reticulum stress (ERS) levels, and more advanced glycosylation end products (AGEs) accumulation in the synovium than in patients without diabetes. Subsequently, we found similar results in the DM OA group in a rat model. In the in vitro cocultivation system, high glucose-stimulated AGEs accumulation, ERS, and inflammation in rat fibroblast-like synoviocytes (FLSs), which resulted in chondrocyte degeneration due to inflammatory factors from FLSs. Furthermore, in the synovium of the DM OA group and FLSs treated with high glucose, the expression of glucose transporter 1 (GLUT1) and its regulatory factor hypoxia-inducible factor (HIF)-1α was increased significantly. Inhibitors of HIF-1α, GLUT1 or AGEs receptors attenuated the effect of high glucose on chondrocyte degradation in the FLS-chondrocyte coculture system. In summary, we demonstrated that hyperglycemia caused AGEs accumulation in FLSs via the HIF-1α-GLUT1 pathway, which increases the release of inflammatory factors from FLSs, subsequently inducing chondrocyte degradation and promoting OA progression.

Recursive Quantization-based Event Triggered Observer for Networked Systems Under Network Congestion and Packet Loss

Biao Xiang,Xia Liu,Yong Chen 제어·로봇·시스템학회 2024 International Journal of Control, Automation, and Vol.22 No.2

Focusing on the network congestion and packet loss in the networked systems, a recursive quantizationbased event triggered observer (RQETO) is proposed in this paper. The RQETO is composed of the local observer and the remote observer. The local observer reduces the amount of transmitted measured output by incorporating the event triggered strategy with the improved quantization mechanism. The improved quantization mechanism is based on the recursive algorithm, which can constrain the quantization error within the maximum allowable quantization error. The remote observer compensates the impact of packet loss by Bernoulli distribution model and hold-input strategy after receiving the data transmitted by the local observer. Through the local observer and the remote observer, network congestion is adequately alleviated, and the impact of packet loss is compensated while obtaining the accurate state estimation. The stability of the RQETO is proved by Lyapunov method, and the effectiveness of the RQETO is demonstrated on brushless direct current motor and Net-Con PC104 experimental platform.

Event-based Networked Predictive Control Systems with Secure Transmission Protocol

Biao Xiang,Xia Liu,Yong Chen 제어·로봇·시스템학회 2022 International Journal of Control, Automation, and Vol.20 No.4

This paper addresses the issues of time delay and deception attacks in networked control systems. An event-based secure networked predictive control system (ESNPCS) architecture is proposed. The ESNPCS integrates a secure transmission protocol and an event-based networked predictive control. The secure transmission protocol guarantees the integrity, confidentiality and authenticity of transmitted data in networked control systems. The networked predictive control compensates time delay based on the control signal prediction sequence derived from the previous states, control inputs and outputs. The event-based control method alleviates the adverse influence of network congestion through the event trigger conditions. A theoretical result using the Lyapunov theory is obtained for the stability of the ESNPCS. Practical experiments are implemented to demonstrate the effectiveness of the proposed ESNPCS.

Thermal Analysis of High Density Permanent Magnet Synchronous Motor Based on Multi Physical Domain Coupling Simulation

Chen, ShiJun,Zhang, Qi,He, Biao,Huang, SuRong,Hui, Dou-Dou The Korean Institute of Electrical Engineers 2017 Journal of Electrical Engineering & Technology Vol.12 No.1

In order to meet the thermal performance analysis accuracy requirements of high density permanent magnet synchronous motor (PMSM), a method of multi physical domain coupling thermal analysis based on control circuit, electromagnetic and thermal is presented. The circuit, electromagnetic, fluid, temperature and other physical domain are integrated and the temperature rise calculation method that considers the harmonic loss on the frequency conversion control as well as the loss non-uniformly distributed and directly mapped to the temperature field is closer to the actual situation. The key is to obtain the motor parameters, the realization of the vector control circuit and the accurate calculation and mapping of the loss. Taking a 48 slots 8 poles high density PMSM as an example, the temperature rise distribution of the key components is simulated, and the experimental platform is built. The temperature of the key components of the prototype machine is tested, which is in agreement with the simulation results. The validity and accuracy of the multi physical domain coupling thermal analysis method are verified.

Numerical study on the influence of interphase interaction in sheet/cloud cavitating flows around a 2D hydrofoil

Guanghao Chen,Guoyu Wang,Biao Huang,Changli Hu,Taotao Liu 대한기계학회 2015 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.29 No.3

We investigated the influence of interphase interaction on unsteady sheet/cloud cavitating flows around a 2D hydrofoil numerically. Inthe computations, the homogeneous (without the consideration of interphase interaction) and inhomogeneous (with the consideration ofinterphase interaction) multiphase flow models are used, respectively. The inhomogeneous model assumes that both phases co-exist atevery point in the flow field and each phase is governed by its own set of conservation laws. The exchanges of mass, interphase dragforce and momentum transfer induced by interphase mass transfer are treated explicitly as transfer terms. The results show that the distributionsof interphase drag force and momentum transfer induced by mass transfer are highly related with the velocity difference of twophases and interphase mass transfer rate, respectively. Without the consideration of interphase interaction, the over-prediction of turbulenteddy viscosity in the rear of attached cavity causes the reentrant jet to lose its momentum and becomes too weak to cut across thecavity sheet. However, when considering the interphase interaction, the predicted turbulent kinetic energy in the rear of attached cavitycan be reduced considerably; thus, turbulent eddy viscosity drops significantly in this region, and the reentrant jet becomes much stronger,so typical cloud cavitation shedding occurs. Compared with those predicted without the consideration of interphase interaction, a betteragreement with experimental results concerning the time evolution of cavity shape, time-averaged lift/drag coefficient, frequency andmean u-velocity profiles is obtained with the consideration of interphase interaction.

Optimized inverse distance weighted interpolation algorithm for γ radiation field reconstruction

Zhang Biao,Cao Jinjia,Lin Shuang,Li Xiaomeng,Zhang Yulong,Zheng Xiaochang,Chen Wei,Song Yingming 한국원자력학회 2024 Nuclear Engineering and Technology Vol.56 No.1

The inversion of radiation field distribution is of great significance in the decommissioning sites of nuclear facilities. However, the radiation fields often contain multiple mixtures of radionuclides, making the inversion extremely difficult and posing a huge challenge. Many radiation field reconstruction methods, such as Kriging algorithm and neural network, can not solve this problem perfectly. To address this issue, this paper proposes an optimized inverse distance weighted (IDW) interpolation algorithm for reconstructing the gamma radiation field. The algorithm corrects the difference between the experimental and simulated scenarios, and the data is preprocessed with normalization to improve accuracy. The experiment involves setting up gamma radiation fields of three Co-60 radioactive sources and verifying them by using the optimized IDW algorithm. The results show that the mean absolute percentage error (MAPE) of the reconstruction result obtained by using the optimized IDW algorithm is 16.0%, which is significantly better than the results obtained by using the Kriging method. Importantly, the optimized IDW algorithm is suitable for radiation scenarios with multiple radioactive sources, providing an effective method for obtaining radiation field distribution in nuclear facility decommissioning engineering.