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338 results on '"Xie, Zhuo"'

13. Attributed Multi-relational Graph Embedding Based on GCN

Author

Xie, Zhuo, Wu, Mengqi, Zhao, Guoping, Zhou, Lijuan, Gong, Zhaohui, Zhang, Zhihong, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Huang, De-Shuang, editor, Premaratne, Prashan, editor, Jin, Baohua, editor, Qu, Boyang, editor, Jo, Kang-Hyun, editor, and Hussain, Abir, editor

Published
2023
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18. Improvement of PBFT Algorithm Based on Consortium Blockchain

Author

XIE Zhuo, ZHANG Zhi-hong, LI Lei, FENG Ying-jie, CHEN Jing

Subjects
consortium blockchain, consensus algorithm, byzantine fault tolerant, trust, selection of primary node, Computer software, QA76.75-76.765, Technology (General), T1-995
Abstract

As a new technology,blockchain has attracted the attention of all walks of life since its birth.Consensus algorithm is one of the core technologies of blockchain technology,and the research of consensus algorithms is also the top priority of blockchain development.Aiming at the problems of PBFT,which is widely used in consortium blockchain,such as the random selection of primary node and the inability of nodes to join and exit dynamically,an dynamic PBFT algorithm(DPBFT) is proposed.Firstly,the selection method of primary node of PBFT is improved,and the trust score is set for every node.The trust score is dynamically updated according to the behavior of the nodes in every round of consensus,and the primary node is selected according to the integral value,which improves the probability that an honest node is elected as the primary node.Secondly,four sub-protocols(JOIN,EXIT,PCLEAR,RCLEAR) are set for PBFT algorithm to solve the problem of joining and exiting nodes respectively and punish the offending nodes,so that the system has a dynamic network structure.It can be proved that the newly added four sub-protocols have good safety and liveness without affecting the safety and liveness of the original PBFT algorithm.At last,experimental results show that DPBFT algorithm has better consensus efficiency than traditional PBFT algorithm.

Published
2022
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39. Stanniocalcin‐1 Promotes PARP1‐Dependent Cell Death via JNK Activation in Colitis.

Author

Zhu, Liguo, Xie, Zhuo, Yang, Guang, Zhou, Gaoshi, Li, Li, and Zhang, Shenghong

Subjects
*COLITIS, *CELL death, *CROHN'S disease, *APOPTOSIS, *DEXTRAN sulfate, *PROGRAMMED cell death 1 receptors, *ADP-ribosylation
Abstract

Stanniocalcin‐1 (STC1) is upregulated by inflammation and modulates oxidative stress‐induced cell death. Herein, the function of STC1 in colitis and stress‐induced parthanatos, a newly identified type of programmed necrotic cell death dependent on the activation of poly‐ADP ribose polymerase‐1 (PARP1) is investigated. Results show that STC1 expression is markedly increased in the inflamed colonic mucosa of Crohn's disease (CD) patients and chemically‐induced mice colitis models. Evaluation of parthanatos severity and pro‐inflammatory cytokine expression shows that intestinal‐specific Stc1 knockout (Stc1INT‐KO) mice are resistant to dextran sulfate sodium (DSS)‐induced colitis and exhibit lower disease severity. STC1‐overexpressing cells show an increased degree of parthanatos and proinflammatory cytokine expression, whereas STC1‐knockout cells show a decreased degree of parthanatos. Co‐immunoprecipitation, mass spectrometry, and proteomic analyses indicate that STC1 interacts with PARP1, which activates the JNK pathway via PARP1–JNK interactions. Moreover, inhibition of PARP1 and JNK alleviates parthanatos and inflammatory injuries triggered by STC1 overexpression. Finally, following restoration of Stc1 and Parp1 expression by adeno‐associated viruses, and overexpression of Stc1 and Parp1 aggravated DSS‐induced colitis in Stc1INT‐KO mice. In conclusion, STC1 mediates oxidative stress‐associated parthanatos and aggravates inflammation via the STC1–PARP1–JNK interactions and subsequent JNK pathway activation in CD pathogenesis. [ABSTRACT FROM AUTHOR]

Published
2024
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40. Nicotinamide Riboside Modulates HIF-1 Signaling to Maintain and Enhance Odontoblastic Differentiation in Human Dental Pulp Stem Cells.

Author

Zhan, Peimeng, Zhang, Xinfang, Xie, Zhuo, Chen, Lingling, Huang, Shuheng, Huang, Qiting, Lin, Zhengmei, and Wang, Runfu

Subjects
DENTAL pulp, STEM cells, NICOTINAMIDE, CELL anatomy, REGENERATION (Biology)
Abstract

Human dental pulp stem cells (hDPSCs) play a vital role in the regeneration of the pulp-dentin complex after pulp disease. While the regeneration efficiency relies on the odontoblastic differentiation capacity of hDPSCs, this is difficult to regulate within the pulp cavity. Although nicotinamide riboside (NR) has been found to promote tissue regeneration, its specific role in pulp-dentin complex regeneration is not fully understood. Here, we aimed to explore the role of NR in the odontoblastic differentiation of hDPSCs and its underlying molecular mechanism. It was found that NR enhanced the viability and retarded senescence in hDPSCs with higher NAD+/NADH levels. In contrast to the sustained action of NR, the multi-directional differentiation of hDPSCs was enhanced after NR pre-treatment. Moreover, in an ectopic pulp regeneration assay in nude mice, transplantation of hDPSCs pretreated with NR promoted the formation of a dentin-like structure surrounded by cells positively expressing DMP-1 and DSPP. RNA-Seq demonstrated inhibition of the HIF-1 signaling pathway in hDPSCs pretreated with NR. The number of HIF-1α-positive cells was significantly decreased in hDPSCs pretreated by NR in vivo. Similarly, NR significantly downregulated the expression of HIF-1α in vitro. The findings suggested that NR could potentially regulate hDPSC odontoblastic differentiation and promote the development of innovative strategies for dental pulp repair. [ABSTRACT FROM AUTHOR]

Published
2024
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49. A Novel Nomogram Combining Mucus Barrier Index for Predicting Treatment Failures in Ulcerative Colitis

Author

Wang,Ying, Huang,Xuanzhi, Zhou,Gaoshi, Han,Jing, Xie,Zhuo, Zhang,Mudan, Li,Xiaoling, Wu,Qi-rui, Li,Li, Ye,Ziyin, Chen,Minhu, Qiu,Yun, Zhang,Shenghong, Wang,Ying, Huang,Xuanzhi, Zhou,Gaoshi, Han,Jing, Xie,Zhuo, Zhang,Mudan, Li,Xiaoling, Wu,Qi-rui, Li,Li, Ye,Ziyin, Chen,Minhu, Qiu,Yun, and Zhang,Shenghong

Abstract

Ying Wang,1,* Xuanzhi Huang,1,* Gaoshi Zhou,1 Jing Han,1 Zhuo Xie,1 Mudan Zhang,1 Xiaoling Li,1 Qi-rui Wu,1 Li Li,1 Ziyin Ye,2 Minhu Chen,1 Yun Qiu,1 Shenghong Zhang1 1Department of Gastroenterology, First Affiliated Hospital of Sun Yat-sen University, Guangzhou, Guangdong Province, People’s Republic of China; 2Department of Pathology, First Affiliated Hospital of Sun Yat-sen University, Guangzhou, Guangdong Province, People’s Republic of China*These authors contributed equally to this workCorrespondence: Shenghong Zhang; Yun Qiu, Department of Gastroenterology, First Affiliated Hospital of Sun Yat-sen University, 58 Zhongshan Road 2, Guangzhou Province, 510080, People’s Republic of China, Tel/Fax +86-20-87332916, Email zhshh3@mail.sysu.edu.cn; qyun@mail2.sysu.edu.cnBackground: Treatment failures (TFs) generally exist in the course of ulcerative colitis (UC), while early reliable predictors of TFs are still lacking. We aimed to generate nomograms for the prediction of TFs.Methods: In this retrospective case–control study, the endpoint was the occurrence of TFs, which included medically associated treatment failures and surgery-associated treatment failures (colectomy). Clinical features and mucus integrity evident by goblet cells (GCs) number, expression levels of MUC2 and SLC26A3 were enrolled in the univariate analysis. Nomogram performance was evaluated by discrimination and calibration.Results: We identified 256 UC patients at our center from January 2010 to June 2022. Fourteen variables for TFs and 9 for colectomy were identified by univariate analysis. Five baseline indices were incorporated into the nomogram for the prediction of TFs: area of GCs, age at diagnosis, disease duration, hemoglobin, and Mayo score. The model was presented with decent discrimination (C index of 0.822) and well calibration. In addition, the colectomy predictive nomogram was built using MUC2 intensity, age at onset, and Mayo score with a good discrimin

Published
2023

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