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  1. Article ; Online: Impact of CYP2A6 Gene Polymorphism on the Efficacy and Safety of S-1 Therapy in Patients with Gastric Cancer: A Systematic Review and Meta-Analysis.

    Dong, Tao / Gu, Yuanyuan

    Chemotherapy

    2024  

    Abstract: Introduction: The relationship of CYP2A6 polymorphisms with S-1 therapy outcomes in gastric cancer is unclear. This review aims to assess the association between CYP2A6 gene polymorphisms (CYP2A6*4, *7, *9, *10) and S-1 therapy outcomes in gastric ... ...

    Abstract Introduction: The relationship of CYP2A6 polymorphisms with S-1 therapy outcomes in gastric cancer is unclear. This review aims to assess the association between CYP2A6 gene polymorphisms (CYP2A6*4, *7, *9, *10) and S-1 therapy outcomes in gastric cancer, aiming to identify predictive markers for S-1 efficacy and adverse reactions.
    Methods: We searched seven databases, using random or fixed effect models to calculate hazard ratio (HR) and 95% confidence interval (CI) based on study heterogeneity.
    Results: A total of 1143 articles were retrieved from multiple online databases as of March 28, 2023. After screening, seven articles containing seven investigations were included in the meta-analysis. Our results revealed a significant association between the CYP2A6 polymorphism site and the overall survival (OS) of V/V patients compared to W/W or W/V patients (HR=2.73, 95%CI:1.45-5.14, P=0.002). S-1 was more beneficial for W/W or W/V patients than V/V patients in terms of Progression-Free Survival (PFS) (HR=3.15,95%CI:1.47-6.75, P=0.003). There was no association between CYP2A6 polymorphism and hematological adverse reactions (OR=0.52, 95%CI: 0.23-1.15, P=0.104).
    Conclusion: CYP2A6 polymorphisms correlate with S-1 efficacy (OS, PFS) in gastric cancer, suggesting their potential as predictive markers. However, the generalizability of findings is limited by the small number of studies from Eastern countries and variations in chemotherapy regimens and detection methods. Further large-scale studies are needed to confirm these associations.
    Language English
    Publishing date 2024-04-10
    Publishing country Switzerland
    Document type Systematic Review
    ZDB-ID 6708-8
    ISSN 1421-9794 ; 0009-3157
    ISSN (online) 1421-9794
    ISSN 0009-3157
    DOI 10.1159/000538769
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article: Preparation, characterisation and

    Li, Miao / Gan, Jiajie / Xu, Xuhui / Zhang, Shuai / Li, Yuanyuan / Bian, Le / Dong, Zibo

    Heliyon

    2024  Volume 10, Issue 7, Page(s) e29151

    Abstract: Baicalin, a flavonoid extracted from traditional Chinese medicine, ...

    Abstract Baicalin, a flavonoid extracted from traditional Chinese medicine,
    Language English
    Publishing date 2024-04-04
    Publishing country England
    Document type Journal Article
    ZDB-ID 2835763-2
    ISSN 2405-8440
    ISSN 2405-8440
    DOI 10.1016/j.heliyon.2024.e29151
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  3. Article: Editorial: Sustainable nitrogen removal in emerging pollutant contaminated wastewater: technology, application and risk assessment.

    Li, Jun / Zheng, Zhaoming / Miao, Yuanyuan / Li, Dingchang / Dong, Huike / Zhou, Lijie / Long, Min

    Frontiers in microbiology

    2024  Volume 15, Page(s) 1349185

    Language English
    Publishing date 2024-01-12
    Publishing country Switzerland
    Document type Editorial
    ZDB-ID 2587354-4
    ISSN 1664-302X
    ISSN 1664-302X
    DOI 10.3389/fmicb.2024.1349185
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  4. Article ; Online: Zn

    Huang, Wenxuan / Yu, Yuanyuan / Wang, Dong / Ma, Hongchao / Wang, Guowen

    Journal of environmental management

    2024  Volume 356, Page(s) 120724

    Abstract: The main challenge facing the anodic electro-Fenton through the ... ...

    Abstract The main challenge facing the anodic electro-Fenton through the 2e
    MeSH term(s) Water ; Hydrogen Peroxide/chemistry ; Titanium/chemistry ; Water Pollutants, Chemical/chemistry ; Oxidation-Reduction ; Electrodes ; Zinc ; Dimethylhydrazines
    Chemical Substances Water (059QF0KO0R) ; dimazine (4WPQ90N53J) ; Hydrogen Peroxide (BBX060AN9V) ; Titanium (D1JT611TNE) ; Water Pollutants, Chemical ; Zinc (J41CSQ7QDS) ; Dimethylhydrazines
    Language English
    Publishing date 2024-03-24
    Publishing country England
    Document type Journal Article
    ZDB-ID 184882-3
    ISSN 1095-8630 ; 0301-4797
    ISSN (online) 1095-8630
    ISSN 0301-4797
    DOI 10.1016/j.jenvman.2024.120724
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    In stock of ZB MED Bonn / Germany

    Z 7556: Show issues

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  5. Article ; Online: Charge transfer in superbase n-type doping of PCBM induced by deprotonation.

    Dong, Chuan-Ding / Bauch, Fabian / Hu, Yuanyuan / Schumacher, Stefan

    Physical chemistry chemical physics : PCCP

    2024  Volume 26, Issue 5, Page(s) 4194–4199

    Abstract: N-type electronic doping of organic semiconductors (OSCs) by using superbase compounds shows high doping efficiency (H. Wei, Z. Cheng, T. Wu, Y. Liu, J. Guo, P.-A. Chen, J. Xia, H. Xie, X. Qiu, T. Liu, B. Zhang, J. Hui, Z. Zeng, Y. Bai and Y. Hu, ...

    Abstract N-type electronic doping of organic semiconductors (OSCs) by using superbase compounds shows high doping efficiency (H. Wei, Z. Cheng, T. Wu, Y. Liu, J. Guo, P.-A. Chen, J. Xia, H. Xie, X. Qiu, T. Liu, B. Zhang, J. Hui, Z. Zeng, Y. Bai and Y. Hu,
    Language English
    Publishing date 2024-01-31
    Publishing country England
    Document type Journal Article
    ZDB-ID 1476244-4
    ISSN 1463-9084 ; 1463-9076
    ISSN (online) 1463-9084
    ISSN 1463-9076
    DOI 10.1039/d3cp05105f
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  6. Article ; Online: COP9 signalosome-mediated deneddylation of CULLIN1 is necessary for SCF

    Dong, Jie / Li, Yuanyuan / Cheng, Shuyang / Li, Xuehui / Wei, Ning

    Cell reports

    2024  Volume 43, Issue 1, Page(s) 113638

    Abstract: Functions of the SKP1-CUL1-F box (SCF) ubiquitin E3 ligases are essential in plants. The F box proteins (FBPs) are substrate receptors that recruit substrates and assemble an active SCF complex, but the regulatory mechanism underlying the FBPs binding to ...

    Abstract Functions of the SKP1-CUL1-F box (SCF) ubiquitin E3 ligases are essential in plants. The F box proteins (FBPs) are substrate receptors that recruit substrates and assemble an active SCF complex, but the regulatory mechanism underlying the FBPs binding to CUL1 to activate the SCF cycle is not fully understood. We show that Arabidopsis csn1-10 is defective in SCF
    MeSH term(s) Cullin Proteins/metabolism ; Arabidopsis/metabolism ; Cell Nucleus/metabolism ; F-Box Proteins/metabolism ; Ubiquitin/metabolism ; COP9 Signalosome Complex/metabolism ; SKP Cullin F-Box Protein Ligases/metabolism ; Arabidopsis Proteins/metabolism
    Chemical Substances Cullin Proteins ; F-Box Proteins ; Ubiquitin ; COP9 Signalosome Complex (EC 3.4.19.12) ; SKP Cullin F-Box Protein Ligases (EC 2.3.2.27) ; EBF1 protein, Arabidopsis ; Arabidopsis Proteins
    Language English
    Publishing date 2024-01-06
    Publishing country United States
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2649101-1
    ISSN 2211-1247 ; 2211-1247
    ISSN (online) 2211-1247
    ISSN 2211-1247
    DOI 10.1016/j.celrep.2023.113638
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  7. Article ; Online: COP9 signalosome-mediated deneddylation of CULLIN1 is necessary for SCFEBF1 assembly in Arabidopsis thaliana

    Jie Dong / Yuanyuan Li / Shuyang Cheng / Xuehui Li / Ning Wei

    Cell Reports, Vol 43, Iss 1, Pp 113638- (2024)

    2024  

    Abstract: Summary: Functions of the SKP1-CUL1-F box (SCF) ubiquitin E3 ligases are essential in plants. The F box proteins (FBPs) are substrate receptors that recruit substrates and assemble an active SCF complex, but the regulatory mechanism underlying the FBPs ... ...

    Abstract Summary: Functions of the SKP1-CUL1-F box (SCF) ubiquitin E3 ligases are essential in plants. The F box proteins (FBPs) are substrate receptors that recruit substrates and assemble an active SCF complex, but the regulatory mechanism underlying the FBPs binding to CUL1 to activate the SCF cycle is not fully understood. We show that Arabidopsis csn1-10 is defective in SCFEBF1-mediated PIF3 degradation during de-etiolation, due to impaired association of EBF1 with CUL1 in csn1-10. EBF1 preferentially associates with un-neddylated CUL1 that is deficient in csn1-10 and the EBF1-CUL1 binding is rescued by the neddylation inhibitor MLN4924. Furthermore, we identify a subset of FBPs with impaired binding to CUL1 in csn1-10, indicating their assembly to form SCF complexes may depend on COP9 signalosome (CSN)-mediated deneddylation of CUL1. This study reports that a key role of CSN-mediated CULLIN deneddylation is to gate the binding of the FBP-substrate module to CUL1, thus initiating the SCF cycle of substrate ubiquitination.
    Keywords CP: Plants ; CP: Molecular biology ; Biology (General) ; QH301-705.5
    Subject code 580
    Language English
    Publishing date 2024-01-01T00:00:00Z
    Publisher Elsevier
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  8. Article: Isolation, Molecular Characterization, and Antimicrobial Resistance of Selected Culturable Bacteria From Crayfish (

    Huang, Zixian / Li, Yuanyuan / Cai, Chang / Dong, Ning

    Frontiers in microbiology

    2022  Volume 13, Page(s) 911777

    Abstract: Red swamp crayfish ( ...

    Abstract Red swamp crayfish (
    Language English
    Publishing date 2022-06-07
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2587354-4
    ISSN 1664-302X
    ISSN 1664-302X
    DOI 10.3389/fmicb.2022.911777
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  9. Article ; Online: Railway Traffic Emergency Management Relying on Image Recognition Technology in the Context of Big Data.

    Dong, Fei / Ma, Yuanyuan

    publication RETRACTED

    Computational intelligence and neuroscience

    2022  Volume 2022, Page(s) 1920196

    Abstract: With the full popularity of China's railwayization process, it has brought about the problem of the management ability of railway traffic safety. Railway traffic safety emergency management capabilities are low. When an accident occurs, clearer data ... ...

    Abstract With the full popularity of China's railwayization process, it has brought about the problem of the management ability of railway traffic safety. Railway traffic safety emergency management capabilities are low. When an accident occurs, clearer data cannot be obtained in the first time to have a general understanding of the accident. Therefore, the problem of organizing rescue has always plagued relevant railway workers. This study aims to study the improvement of railway traffic emergency management based on image recognition technology in the context of big data. To this end, this study proposes image recognition technology based on deep learning, and through the relayout of the railway traffic emergency management system, so that the railway traffic problems can be dealt within time as soon as they occur, and designed an experiment to explore the ability of image recognition. The results of the experiment show that the efficiency of the improved railway traffic emergency management system has increased by 27%, and the recognition capability has increased by 64%. It can very well help current railway workers to carry out emergency management for railway traffic safety.
    MeSH term(s) Accidents ; Big Data ; Humans ; Railroads ; Technology
    Language English
    Publishing date 2022-06-30
    Publishing country United States
    Document type Journal Article ; Retracted Publication
    ZDB-ID 2388208-6
    ISSN 1687-5273 ; 1687-5273
    ISSN (online) 1687-5273
    ISSN 1687-5273
    DOI 10.1155/2022/1920196
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article ; Online: Research on precise phenotype identification and growth prediction of lettuce based on deep learning.

    Yu, Haiye / Dong, Mo / Zhao, Ruohan / Zhang, Lei / Sui, Yuanyuan

    Environmental research

    2024  Volume 252, Issue Pt 1, Page(s) 118845

    Abstract: In recent years, precision agriculture, driven by scientific monitoring, precise management, and efficient use of agricultural resources, has become the direction for future agricultural development. The precise identification and assessment of ... ...

    Abstract In recent years, precision agriculture, driven by scientific monitoring, precise management, and efficient use of agricultural resources, has become the direction for future agricultural development. The precise identification and assessment of phenotypes, which serve as external representations of a crop's growth, development, and genetic characteristics, are crucial for the realization of precision agriculture. Applications surrounding phenotypic indices also provide significant technical support for optimizing crop cultivation management and advancing smart agriculture, contributing to the efficient and high-quality development of precision agriculture.This paper focuses on lettuce and employs common nutritional stress conditions during growth as experimental settings. By collecting RGB images throughout the lettuce's complete growth cycle, we developed a deep learning-based computational model to tackle key issues in the lettuce's growth and precisely identify and assess phenotypic indices. We discovered that some phenotypic indices, including custom ones defined in this study, are representative of the lettuce's growth status. By dynamically monitoring the changes in phenotypic traits during growth, we quantitatively analyzed the accumulation and evolution of phenotypic indices across different growth stages. On this basis, a predictive model for lettuce growth and development was trained.The model incorporates MSE, SSIM, and perceptual loss, significantly enhancing the predictive accuracy of the lettuce growth images and phenotypic indices. The model trained with the reconstructed loss function outperforms the original model, with the SSIM and PSNR improving by 1.33% and 10.32%, respectively. The model also demonstrates high accuracy in predicting lettuce phenotypic indices, with an average error less than 0.55% for geometric indices and less than 1.7% for color and texture indices. Ultimately, it achieves intelligent monitoring and management throughout the lettuce's life cycle, providing technical support for high-quality and efficient lettuce production.
    Language English
    Publishing date 2024-04-01
    Publishing country Netherlands
    Document type Journal Article
    ZDB-ID 205699-9
    ISSN 1096-0953 ; 0013-9351
    ISSN (online) 1096-0953
    ISSN 0013-9351
    DOI 10.1016/j.envres.2024.118845
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    In stock of ZB MED Cologne/Königswinter

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