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  1. Article: Editorial: Regulation and dysfunction of CSK and CHK.

    Zhu, Shudong / Zhang, Dianzheng

    Frontiers in cell and developmental biology

    2023  Volume 11, Page(s) 1254961

    Language English
    Publishing date 2023-07-19
    Publishing country Switzerland
    Document type Editorial
    ZDB-ID 2737824-X
    ISSN 2296-634X
    ISSN 2296-634X
    DOI 10.3389/fcell.2023.1254961
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Editorial

    Shudong Zhu / Dianzheng Zhang

    Frontiers in Cell and Developmental Biology, Vol

    Regulation and dysfunction of CSK and CHK

    2023  Volume 11

    Keywords Csk ; Chk ; structure ; regulation ; target ; function ; Biology (General) ; QH301-705.5
    Language English
    Publishing date 2023-07-01T00:00:00Z
    Publisher Frontiers Media S.A.
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  3. Article ; Online: Incidence of lung cancer among healthcare workers in Hunan Province and analysis of related risk factors

    Jinzhang Xiao / Sishi Li / Shudong Zhu / Kamakshi Ranjan / Dianzheng Zhang

    Frontiers in Public Health, Vol

    2024  Volume 11

    Abstract: BackgroundThe prevalence of lung cancer, a major type of malignant tumor, has been increasing over the years greatly impacting the health of Chinese residents. This study investigates the epidemiological characteristics of lung cancer among healthcare ... ...

    Abstract BackgroundThe prevalence of lung cancer, a major type of malignant tumor, has been increasing over the years greatly impacting the health of Chinese residents. This study investigates the epidemiological characteristics of lung cancer among healthcare workers in the Hunan Province, as well as the occupational risk factors.MethodsThe data analyzed in this study was collected from the largest tumor hospital in the province: the Hunan Provincial Tumor Hospital affiliated with Central South University, School of Medicine. The data collected encompasses input collected between the years of 2004 to 2013 of the population of healthcare workers who were hospitalized for lung cancer treatments. Information was obtained through statistical analysis and telephonic interviews.ResultsThe prevalence of lung cancer among healthcare workers was much higher than that of the general population, as revealed by the difference between number of healthcare worker cases per 1,000 cases and number of healthcare workers per 1,000 population in the decade from 2004 to 2013. Analysis of the data further demonstrates that lung cancer prevalence among healthcare workers increases exponentially with age. Although smoking has been shown to increase the incidence of lung cancer to some extent, it is most likely not the main cause of lung cancer. In addition, it appears that the highest rates of lung cancer incidence occurs in mainly in primary general practitioners, medical radiologists, and nurses. The lack of awareness of personal safety measures may place healthcare workers at a greater risk of lung cancer.
    Keywords lung cancer ; healthcare worker ; risk factor ; incidence ; occupation ; Public aspects of medicine ; RA1-1270
    Subject code 610
    Language English
    Publishing date 2024-01-01T00:00:00Z
    Publisher Frontiers Media S.A.
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  4. Article ; Online: Incidence of lung cancer among healthcare workers in Hunan Province and analysis of related risk factors.

    Xiao, Jinzhang / Li, Sishi / Zhu, Shudong / Ranjan, Kamakshi / Zhang, Dianzheng

    Frontiers in public health

    2024  Volume 11, Page(s) 1280316

    Abstract: Background: The prevalence of lung cancer, a major type of malignant tumor, has been increasing over the years greatly impacting the health of Chinese residents. This study investigates the epidemiological characteristics of lung cancer among healthcare ...

    Abstract Background: The prevalence of lung cancer, a major type of malignant tumor, has been increasing over the years greatly impacting the health of Chinese residents. This study investigates the epidemiological characteristics of lung cancer among healthcare workers in the Hunan Province, as well as the occupational risk factors.
    Methods: The data analyzed in this study was collected from the largest tumor hospital in the province: the Hunan Provincial Tumor Hospital affiliated with Central South University, School of Medicine. The data collected encompasses input collected between the years of 2004 to 2013 of the population of healthcare workers who were hospitalized for lung cancer treatments. Information was obtained through statistical analysis and telephonic interviews.
    Results: The prevalence of lung cancer among healthcare workers was much higher than that of the general population, as revealed by the difference between number of healthcare worker cases per 1,000 cases and number of healthcare workers per 1,000 population in the decade from 2004 to 2013. Analysis of the data further demonstrates that lung cancer prevalence among healthcare workers increases exponentially with age. Although smoking has been shown to increase the incidence of lung cancer to some extent, it is most likely not the main cause of lung cancer. In addition, it appears that the highest rates of lung cancer incidence occurs in mainly in primary general practitioners, medical radiologists, and nurses. The lack of awareness of personal safety measures may place healthcare workers at a greater risk of lung cancer.
    MeSH term(s) Humans ; Lung Neoplasms/epidemiology ; Incidence ; Risk Factors ; Smoking ; General Practitioners
    Language English
    Publishing date 2024-01-05
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2711781-9
    ISSN 2296-2565 ; 2296-2565
    ISSN (online) 2296-2565
    ISSN 2296-2565
    DOI 10.3389/fpubh.2023.1280316
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: Regulation, targets and functions of CSK

    Shudong Zhu / Hui Wang / Kamakshi Ranjan / Dianzheng Zhang

    Frontiers in Cell and Developmental Biology, Vol

    2023  Volume 11

    Abstract: The Src family kinases (SFK) plays an important role in multiple signal transduction pathways. Aberrant activation of SFKs leads to diseases such as cancer, blood disorders, and bone pathologies. By phosphorylating and inactivating SFKs, the C-terminal ... ...

    Abstract The Src family kinases (SFK) plays an important role in multiple signal transduction pathways. Aberrant activation of SFKs leads to diseases such as cancer, blood disorders, and bone pathologies. By phosphorylating and inactivating SFKs, the C-terminal Src kinase (CSK) serves as the key negative regulator of SFKs. Similar to Src, CSK is composed of SH3, SH2, and a catalytic kinase domain. However, while the Src kinase domain is intrinsically active, the CSK kinase domain is intrinsically inactive. Multiple lines of evidence indicate that CSK is involved in various physiological processes including DNA repair, permeability of intestinal epithelial cells (IECs), synaptic activity, astrocyte-to-neuron communication, erythropoiesis, platelet homeostasis, mast cell activation, immune and inflammation responses. As a result, dysregulation of CSK may lead to many diseases with different underlying molecular mechanisms. Furthermore, recent findings suggest that in addition to the well-established CSK-SFK axis, novel CSK-related targets and modes of CSK regulation also exist. This review focuses on the recent progress in this field for an up-to-date understanding of CSK.
    Keywords Csk ; Chk ; src ; SFK ; activity ; regulation ; Biology (General) ; QH301-705.5
    Language English
    Publishing date 2023-06-01T00:00:00Z
    Publisher Frontiers Media S.A.
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  6. Article: Regulation, targets and functions of CSK.

    Zhu, Shudong / Wang, Hui / Ranjan, Kamakshi / Zhang, Dianzheng

    Frontiers in cell and developmental biology

    2023  Volume 11, Page(s) 1206539

    Abstract: The Src family kinases (SFK) plays an important role in multiple signal transduction pathways. Aberrant activation of SFKs leads to diseases such as cancer, blood disorders, and bone pathologies. By phosphorylating and inactivating SFKs, the C-terminal ... ...

    Abstract The Src family kinases (SFK) plays an important role in multiple signal transduction pathways. Aberrant activation of SFKs leads to diseases such as cancer, blood disorders, and bone pathologies. By phosphorylating and inactivating SFKs, the C-terminal Src kinase (CSK) serves as the key negative regulator of SFKs. Similar to Src, CSK is composed of SH3, SH2, and a catalytic kinase domain. However, while the Src kinase domain is intrinsically active, the CSK kinase domain is intrinsically inactive. Multiple lines of evidence indicate that CSK is involved in various physiological processes including DNA repair, permeability of intestinal epithelial cells (IECs), synaptic activity, astrocyte-to-neuron communication, erythropoiesis, platelet homeostasis, mast cell activation, immune and inflammation responses. As a result, dysregulation of CSK may lead to many diseases with different underlying molecular mechanisms. Furthermore, recent findings suggest that in addition to the well-established CSK-SFK axis, novel CSK-related targets and modes of CSK regulation also exist. This review focuses on the recent progress in this field for an up-to-date understanding of CSK.
    Language English
    Publishing date 2023-06-16
    Publishing country Switzerland
    Document type Journal Article ; Review
    ZDB-ID 2737824-X
    ISSN 2296-634X
    ISSN 2296-634X
    DOI 10.3389/fcell.2023.1206539
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article ; Online: Investigation of the molecular mechanism of Danggui Buxue tang in treating lung cancer using network pharmacology and molecular docking techniques.

    Zhu, Dantong / Li, Shun / Xu, Long / Ren, Xijing / Wang, Shudong / Chen, Jianjun / Zhao, Ershu / Zheng, Zhendong

    Natural product research

    2024  , Page(s) 1–4

    Abstract: This study used network pharmacology and molecular docking techniques to investigate the molecular targets and pathways of Danggui Buxue Tang (DBT) in treating lung cancer. The compound-target network was constructed using the Traditional Chinese ... ...

    Abstract This study used network pharmacology and molecular docking techniques to investigate the molecular targets and pathways of Danggui Buxue Tang (DBT) in treating lung cancer. The compound-target network was constructed using the Traditional Chinese Medicine Systems Pharmacology Database (TCMSP), and a lung cancer-specific network was created using the GEO database and Cytoscape software. GO and KEGG pathway analyses were performed to understand the biological processes associated with DBT. The key compounds from Astragalus, kaempferol, and quercetin, and the potential targets are IL-6, IL-1β, FOS, ICAM1, and CCL2. GO enrichment analysis revealed numerous biological process-related entries, while KEGG pathway analysis highlighted the TNF and IL-17 signalling pathways. Molecular docking confirmed the stable binding activity between the main active compounds of DBT and the target proteins. Overall, these findings shed light on the molecular mechanism of DBT in treating lung cancer, providing insights into targets, pathways, and biological processes involved.
    Language English
    Publishing date 2024-02-25
    Publishing country England
    Document type Journal Article
    ZDB-ID 2185747-7
    ISSN 1478-6427 ; 1478-6419
    ISSN (online) 1478-6427
    ISSN 1478-6419
    DOI 10.1080/14786419.2024.2305660
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article: Changes in the landscape patterns of Black-necked Crane habitat and its correlation with their individual population numbers during the past 40 years in China.

    Yang, Ying / Xie, Chou / Shen, Chaoyong / Tian, Bangsen / Wang, Shudong / Bian, Xiaolin / Guo, Yihong / Zhu, Yu / Fang, Haoran

    Ecology and evolution

    2023  Volume 13, Issue 6, Page(s) e10125

    Abstract: The landscape pattern of the Black-necked Crane ( ...

    Abstract The landscape pattern of the Black-necked Crane (
    Language English
    Publishing date 2023-06-12
    Publishing country England
    Document type Journal Article
    ZDB-ID 2635675-2
    ISSN 2045-7758
    ISSN 2045-7758
    DOI 10.1002/ece3.10125
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  9. Article ; Online: Regulation, targets and functions of CHK

    Shudong Zhu / Rong Sun / Xialing Guo / Yuanwu Bao / Dianzheng Zhang

    Frontiers in Cell and Developmental Biology, Vol

    2022  Volume 10

    Abstract: Src family kinases (SFKs) play pivotal roles in multiple signaling pathways (Yeatman, 2004). SFK activity is inhibited by phosphorylation at its C-terminal tyrosine, by CSK (C-terminal Src kinase) and CHK (CSK-homologous kinase). CHK expression is ... ...

    Abstract Src family kinases (SFKs) play pivotal roles in multiple signaling pathways (Yeatman, 2004). SFK activity is inhibited by phosphorylation at its C-terminal tyrosine, by CSK (C-terminal Src kinase) and CHK (CSK-homologous kinase). CHK expression is restricted to normal hematopoietic cells, brain, and colon tissues. Downregulation of CHK in brain and colon tumors contributes to tumorigenicity in these tissues. CHK does not phosphorylate Src efficiently, however, in contrast to CSK, CHK inhibits Src kinase activity allosterically. Although the functions of CHK are still largely unknown, potential substrates of CHK including β-synuclein, α-tubulin, α-spectrin, 14-3-3, and Hsp90 have been identified. CHK is regulated epigenetically via promoter methylation. As the unknown roles of CHK are beginning to be revealed, current knowledge of regulation, molecular targets and functions of CHK is summarized, and important topics for future CHK research are discussed.
    Keywords CHK ; CSK ; Src ; protein tyrosine kinase ; oncogene ; cancer ; Biology (General) ; QH301-705.5
    Language English
    Publishing date 2022-12-01T00:00:00Z
    Publisher Frontiers Media S.A.
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  10. Article ; Online: Automatic Lumen Border Detection in IVUS Images Using Deep Learning Model and Handcrafted Features.

    Li, Kai / Tong, Jijun / Zhu, Xinjian / Xia, Shudong

    Ultrasonic imaging

    2021  Volume 43, Issue 2, Page(s) 59–73

    Abstract: In the clinical analysis of Intravascular ultrasound (IVUS) images, the lumen size is an important indicator of coronary atherosclerosis, and is also the premise of coronary artery disease diagnosis and interventional treatment. In this study, a fully ... ...

    Abstract In the clinical analysis of Intravascular ultrasound (IVUS) images, the lumen size is an important indicator of coronary atherosclerosis, and is also the premise of coronary artery disease diagnosis and interventional treatment. In this study, a fully automatic method based on deep learning model and handcrafted features is presented for the detection of the lumen borders in IVUS images. First, 193 handcrafted features are extracted from the IVUS images. Then hybrid feature vectors are constructed by combining handcrafted features with 64 high-level features extracted from U-Net. In order to obtain the feature subsets with larger contribution, we employ the extended binary cuckoo search for feature selection. Finally, the selected 36-dimensional hybrid feature subset is used to classify the test images using dictionary learning based on kernel sparse coding. The proposed algorithm is tested on the publicly available dataset and evaluated using three indicators. Through ablation experiments, mean value of the experimental results (Jaccard: 0.88, Hausdorff distance: 0.36, Percentage of the area difference: 0.06) prove to be effective improving lumen border detection. Furthermore, compared with the recent methods used on the same dataset, the proposed method shows good performance and high accuracy.
    MeSH term(s) Algorithms ; Coronary Artery Disease/diagnostic imaging ; Deep Learning ; Humans ; Ultrasonography ; Ultrasonography, Interventional
    Language English
    Publishing date 2021-01-15
    Publishing country England
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 603271-0
    ISSN 1096-0910 ; 0161-7346
    ISSN (online) 1096-0910
    ISSN 0161-7346
    DOI 10.1177/0161734620987288
    Database MEDical Literature Analysis and Retrieval System OnLINE

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