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      • KCI등재

        Prebiotics enhance the biotransformation and bioavailability of ginsenosides in rats by modulating gut microbiota

        Xiaoyan Zhang,Sha Chen,Feipeng Duan,An Liu,Shaojing Li,Wen Zhong,Wei Sheng,Jun Chen,Jiang Xu,Shuiming Xiao 고려인삼학회 2021 Journal of Ginseng Research Vol.45 No.2

        Background: Gut microbiota mainly function in the biotransformation of primary ginsenosides into bioactive metabolites. Herein, we investigated the effects of three prebiotic fibers by targeting gut microbiota on the metabolism of ginsenoside Rb1 in vivo. Methods: Sprague Dawley rats were administered with ginsenoside Rb1 after a two-week prebiotic intervention of fructooligosaccharide, galactooligosaccharide, and fibersol-2, respectively. Pharmacokinetic analysis of ginsenoside Rb1 and its metabolites was performed, whilst the microbial composition and metabolic function of gut microbiota were examined by 16S rRNA gene amplicon and metagenomic shotgun sequencing. Results: The results showed that peak plasma concentration and area under concentration time curve of ginsenoside Rb1 and its intermediate metabolites, ginsenoside Rd, F2, and compound K (CK), in the prebiotic intervention groups were increased at various degrees compared with those in the control group. Gut microbiota dramatically responded to the prebiotic treatment at both taxonomical and functional levels. The abundance of Prevotella, which possesses potential function to hydrolyze ginsenoside Rb1 into CK, was significantly elevated in the three prebiotic groups (P < 0.05). The gut metagenomic analysis also revealed the functional gene enrichment for terpenoid/polyketide metabolism, glycolysis, gluconeogenesis, propanoate metabolism, etc. Conclusion: These findings imply that prebiotics may selectively promote the proliferation of certain bacterial stains with glycoside hydrolysis capacity, thereby, subsequently improving the biotransformation and bioavailability of primary ginsenosides in vivo.

      • KCI등재

        Metal-organic framework-based photodynamic combined immunotherapy against the distant development of triple-negative breast cancer

        Xiaoyan Liang,Min Mu,Bo Chen,Rangrang Fan,Haifeng Chen,Bingwen Zou,Bo Han,Gang Guo 한국생체재료학회 2023 생체재료학회지 Vol.27 No.00

        Background Triple-negative breast cancer (TNBC) is an aggressive, metastatic and apparently drug-resistant subtype of breast cancer with a higher immune response compared to other types of breast cancer. Photodynamic therapy (PDT) has been gaining popularity for its non-invasive nature, minimal side effects, and spatiotemporally controlled benifits. The use of metal-organic frameworks (MOFs) loaded with programmed death-ligand 1 inhibitors (iPD-L1) offers the possibility of combining PDT with immunotherapy. Method Here, we construct PCN-224, a MOFs with good biocompatibility and biodegradability for the delivery of the PD-L1 small molecule inhibitor BMS-202 to achieve a synergistic anti-tumor strategy of PDT and immunotherapy. Hyaluronic acid (HA) modified PEG (HA-PEG) was synthesized for the outer layer modification of the nanocomplex, which prolongs its systemic circulation time. Results In vitro cellular experiments show that the nanocomplexes irradiated by 660 nm laser has a strong ability to produce singlet oxygen, which effectively induce PDT. PDT with strong immunogenicity leads to tumor necrosis and apoptosis, and induces immunogenic cell death, which causes tumor cells to release danger associated molecular patterns. In combination with iPD-L1, the combination therapy stimulates dendritic cell maturation, promotes T-cell activation and intratumoral infiltration, and reshapes the tumor immune microenvironment to achieve tumor growth inhibition and anti-distant tumor progression. Conclusions MOFs-based nano-systems as a platform for combination therapy offer a potentially effective strategy for the treatment of TNBC with high metastatic rates.

      • KCI등재

        Model-based Compensation and Pareto-optimal Trajectory Modification Method for Robotic Applications

        Xiaoyan Chen,Qiuju Zhang,Yilin Sun 한국정밀공학회 2019 International Journal of Precision Engineering and Vol.20 No.7

        This study addresses the problem in accuracies of robot positioning and trajectory with compliance and geometric errors in robotic applications. A rigid–flexible coupling position error model of serial robot is presented to identify geometric and compliance error parameters simultaneously. On the basis of the error compensation model, the predicted position error can be corrected by the proposed hybrid error compensation method. Particular attention is paid to the deviation along the desired trajectory with respect to the corresponding updated trajectory, which is consecutively changing and cannot be corrected directly. A segmentation trajectory control method based on the Pareto-optimal with weighted-sum algorithm is proposed to solve the multi-objective optimisation problem in trajectory modification. The offline program optimiser integrates the proposed model-based compensation and trajectory modification method by MATLAB and VS software development platform. The method is developed to be an effective solution for the problem in absolute accuracies of positioning and trajectory with the experimental results achieved on a Staubli TX60L robot. Additional experiment is conducted with a Staubli RX160L robot to demonstrate the extensive feasibility and practical effectiveness of our approach for other industrial robots.

      • SCISCIESCOPUS

        Structural basis for synaptic adhesion mediated by neuroligin-neurexin interactions

        Chen, Xiaoyan,Liu, Heli,Shim, Ann H R,Focia, Pamela J,He, Xiaolin Nature Publishing Group 2008 Nature Structural and Molecular Biology Vol. No.

        The heterophilic synaptic adhesion molecules neuroligins and neurexins are essential for establishing and maintaining neuronal circuits by modulating the formation and maturation of synapses. The neuroligin-neurexin adhesion is Ca<SUP>2+</SUP>-dependent and regulated by alternative splicing. We report a structure of the complex at a resolution of 2.4 Å between the mouse neuroligin-1 (NL1) cholinesterase-like domain and the mouse neurexin-1β (NX1β) LNS (laminin, neurexin and sex hormone–binding globulin–like) domain. The structure revealed a delicate neuroligin-neurexin assembly mediated by a hydrophilic, Ca<SUP>2+</SUP>-mediated and solvent-supplemented interface, rendering it capable of being modulated by alternative splicing and other regulatory factors. Thermodynamic data supported a mechanism wherein splicing site B of NL1 acts by modulating a salt bridge at the edge of the NL1-NX1β interface. Mapping neuroligin mutations implicated in autism indicated that most such mutations are structurally destabilizing, supporting deficient neuroligin biosynthesis and processing as a common cause for this brain disorder.

      • KCI등재

        Dehydration reaction of bio-ethanol to ethylene over modified SAPO catalysts

        Yu Chen,Ling Tao,Bin Dai,Mingde Yang,Zhen Chen,Xiaoyan Zhu,Yulong Wu 한국공업화학회 2010 Journal of Industrial and Engineering Chemistry Vol.16 No.5

        Mnmodified SAPO-11 (Mn-SAPO-11), Zn-SAPO-11, Mn-SAPO-34 and Zn-SAPO-34 were first synthesized with hydrothermal method in the laboratory. Dehydration of ethanol to ethylene over SAPO-11, SAPO-34and four materials above as catalysts was carried out and Mn-SAPO-34 exhibited the best conversion and selectivity (99.35% and 98.44%, respectively) at 340 8C. The introduction of Mn2+ or Zn2+ into the SAPO channel generated in Mn-SAPO or Zn-SAPO samples was proved by X-ray diffraction (XRD), scanning electron microscopy (SEM) and nitrogen adsorption. NH3-TPD study revealed that modification of Mn2+or Zn2+ in the SAPO framework led to increase the weak acid strength and give rise to weak acid sites. The effects of operation parameters, such as loading amount, modification methods, reaction time, reaction temperature, mass space velocity and concentration of ethanol have also been investigated experimentally. 2010 The Korean Society of Industrial and Engineering Chemistry. Published by Elsevier B.V. All rights reserved.

      • KCI등재

        Magnetic Resonance Image Texture Analysis of the Periaqueductal Gray Matter in Episodic Migraine Patients without T2-Visible Lesions

        Zhiye Chen,Xiaoyan Chen,Mengqi Liu,Shuangfeng Liu,Shengyuan Yu,Lin Ma 대한영상의학회 2018 Korean Journal of Radiology Vol.19 No.1

        Objective: The periaqueductal gray matter (PAG), a small midbrain structure, presents dysfunction in migraine. However, the precise neurological mechanism is still not well understood. Herein, the aim of this study was to investigate the texture characteristics of altered PAG in episodic migraine (EM) patients based on high resolution brain structural magnetic resonance (MR) images. Materials and Methods: The brain structural MR images were obtained from 18 normal controls (NC), 18 EM patients and 16 chronic migraine (CM) patients using a 3T MR system. A PAG template was created using the International Consortium Brain Mapping 152 gray matter model, and the individual PAG segment was developed by applying the deformation field from the structural image segment to the PAG template. A grey level co-occurrence matrix was used to calculate the texture parameters including the angular second moment (ASM), contrast, correlation, inverse difference moment (IDM) and entropy. Results: There was a significant difference for ASM, IDM and entropy in the EM group (998.629 ± 0.162 x 10-3, 999.311 ± 0.073 x 10-3, 916.354 ± 0.947 x 10-5) compared to that found in the NC group (998.760 ± 0.110 x 10-3, 999.358 ± 0.037 x 10-3 and 841.198 ± 0.575 x 10-5) (p < 0.05). The entropy was significantly lower among the patients with CM (864.116 ± 0.571 x 10-5) than that found among patients with EM (p < 0.05). The area under the receiver operating characteristic curve was 0.776 and 0.750 for ASM and entropy in the distinction of the EM from NC groups, respectively. ASM was negatively related to disease duration (DD) and the Migraine Disability Assessment Scale (MIDAS) scores in the EM group, and entropy was positively related to DD and MIDAS in the EM group (p < 0.05). Conclusion: The present study identified altered MR image texture characteristics of the PAG in EM. The identified texture characteristics could be considered as imaging biomarkers for EM.

      • KCI등재

        Novel Nucleotide Variations, Haplotypes Structure and Associations with Growth Related Traits of Goat AT Motif-Binding Factor (ATBF1) Gene

        Xiaoyan Zhang,Xianfeng Wu,Wenchao Jia,Chuanying Pan,Xiangcheng Li,Chuzhao Lei,Hong Chen,Xianyong Lan 아세아·태평양축산학회 2015 Animal Bioscience Vol.28 No.10

        The AT motif-binding factor (ATBF1) not only interacts with protein inhibitor of activated signal transducer and activator of transcription 3 (STAT3) (PIAS3) to suppress STAT3 signaling regulating embryo early development and cell differentiation, but is required for early activation of the pituitary specific transcription factor 1 (Pit1) gene (also known as POU1F1) critically affecting mammalian growth and development. The goal of this study was to detect novel nucleotide variations and haplotypes structure of the ATBF1 gene, as well as to test their associations with growth-related traits in goats. Herein, a total of seven novel single nucleotide polymorphisms (SNPs) (SNP 1-7) within this gene were found in two well-known Chinese native goat breeds. Haplotypes structure analysis demonstrated that there were four haplotypes in Hainan black goat while seventeen haplotypes in Xinong Saanen dairy goat, and both breeds only shared one haplotype (hap1). Association testing revealed that the SNP2, SNP5, SNP6, and SNP7 loci were also found to significantly associate with growth-related traits in goats, respectively. Moreover, one diplotype in Xinong Saanen dairy goats significantly linked to growth related traits. These preliminary findings not only would extend the spectrum of genetic variations of the goat ATBF1 gene, but also would contribute to implementing marker-assisted selection in genetics and breeding in goats.

      • KCI등재

        Resource Allocation in Multi-User MIMO-OFDM Systems with Double-objective Optimization

        ( Chen Yuqing ),( Li Xiaoyan ),( Sun Xixia ),( Pan Su ) 한국인터넷정보학회 2018 KSII Transactions on Internet and Information Syst Vol.12 No.5

        A resource allocation algorithm is proposed in this paper to simultaneously minimize the total system power consumption and maximize the system throughput for the downlink of multi-user multiple input multiple output-orthogonal frequency division multiplexing (MIMO-OFDM) systems. With the Lagrange dual decomposition method, we transform the original problem to its convex dual problem and prove that the duality gap between the two problems is zero, which means the optimal solution of the original problem can be obtained by solving its dual problem. Then, we use convex optimization method to solve the dual problem and utilize bisection method to obtain the optimal dual variable. The numerical results show that the proposed algorithm is superior to traditional single-objective optimization method in both the system throughput and the system energy consumption.

      • KCI등재

        Eu3+/Tb3+ Co-Doped Cerium Oxide Transparent Nanocomposite for Color-Tunable Emission

        Xiaoyan Li,Yunlong Yu,Xiangfeng Guan,Peihui Luo,Linqin Jiang,Zhiqiang Zheng,Dagui Chen 성균관대학교(자연과학캠퍼스) 성균나노과학기술원 2018 NANO Vol.13 No.10

        Eu3+/Tb3+ co-doped nanocomposite containing CeO2 nanocrystals was successfully prepared by an in situ sol–gel polymerization approach. High-resolution transmission electron microscopy demonstrated the homogeneous precipitation of CeO2 nanocrystals among the polymethylmethacrylate (PMMA) matrix. The thermal stability and UV-shielding capability of the obtained nanocomposite were improved with increase of CeO2 content. The tuning of the emissive color from green and yellow to red can be easily achieved by varying the dopant species and concentration. These results suggested that the obtained nanocomposite could be potentially applicable in transparent solid-state luminescent devices.

      • KCI등재

        Two-Dimensional Shear Wave Elastography Predicts Liver Fibrosis in Jaundiced Infants with Suspected Biliary Atresia: A Prospective Study

        Chen Huadong,Zhou Luyao,Liao Bing,Cao Qinghua,Jiang Hong,Zhou Wenying,Wang Guotao,Xie Xiaoyan 대한영상의학회 2021 Korean Journal of Radiology Vol.22 No.6

        Objective: This study aimed to evaluate the role of preoperative two-dimensional (2D) shear wave elastography (SWE) in assessing the stages of liver fibrosis in patients with suspected biliary atresia (BA) and compared its diagnostic performance with those of serum fibrosis biomarkers. Materials and Methods: This study was approved by the ethical committee, and written informed parental consent was obtained. Two hundred and sixteen patients were prospectively enrolled between January 2012 and October 2018. The 2D SWE measurements of 69 patients have been previously reported. 2D SWE measurements, serum fibrosis biomarkers, including fibrotic markers and biochemical test results, and liver histology parameters were obtained. 2D SWE values, serum biomarkers including, aspartate aminotransferase to platelet ratio index (APRi), and other serum fibrotic markers were correlated with the stages of liver fibrosis by METAVIR. Receiver operating characteristic (ROC) curves and area under the ROC (AUROC) curve analyses were used. Results: The correlation coefficient of 2D SWE value in correlation with the stages of liver fibrosis was 0.789 (p < 0.001). The cut-off values of 2D SWE were calculated as 9.1 kPa for F1, 11.6 kPa for F2, 13.0 kPa for F3, and 15.7 kPa for F4. The AUROCs of 2D SWE in the determination of the stages of liver fibrosis ranged from 0.869 to 0.941. The sensitivity and negative predictive value of 2D SWE in the diagnosis of ≥ F3 was 93.4% and 96.0%, respectively. The diagnostic performance of 2D SWE was superior to that of APRi and other serum fibrotic markers in predicting severe fibrosis and cirrhosis (all p < 0.005) and other serum biomarkers. Multivariate analysis showed that the 2D SWE value was the only statistically significant parameter for predicting liver fibrosis. Conclusion: 2D SWE is a more effective non-invasive tool for predicting the stage of liver fibrosis in patients with suspected BA, compared with serum fibrosis biomarkers.

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