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  1. Article ; Online: Effect of norepinephrine on host immunity and bacterial infection.

    Wang, Jia / Fang, Zhiyao / Dong, Xue / Li, Wenwen / Wan, Xianyao

    Chinese medical journal

    2023  Volume 137, Issue 3, Page(s) 362–364

    MeSH term(s) Humans ; Norepinephrine ; Bacterial Infections/drug therapy ; Immunity, Innate
    Chemical Substances Norepinephrine (X4W3ENH1CV)
    Language English
    Publishing date 2023-12-06
    Publishing country China
    Document type Journal Article
    ZDB-ID 127089-8
    ISSN 2542-5641 ; 0366-6999 ; 1002-0187
    ISSN (online) 2542-5641
    ISSN 0366-6999 ; 1002-0187
    DOI 10.1097/CM9.0000000000002931
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Characteristics and Clinical Prognosis of Septic Patients With Persistent Lymphopenia.

    Jing, Juanjuan / Wei, Yushan / Dong, Xue / Li, Dandan / Zhang, Chenyang / Fang, Zhiyao / Wang, Jia / Wan, Xianyao

    Journal of intensive care medicine

    2024  , Page(s) 8850666241226877

    Abstract: Background: ...

    Abstract Background:
    Language English
    Publishing date 2024-01-15
    Publishing country United States
    Document type Journal Article
    ZDB-ID 632828-3
    ISSN 1525-1489 ; 0885-0666
    ISSN (online) 1525-1489
    ISSN 0885-0666
    DOI 10.1177/08850666241226877
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  3. Article ; Online: Non‑coding RNA: A promising diagnostic biomarker and therapeutic target for esophageal squamous cell carcinoma (Review).

    Zhang, Longze / Wang, Yanyang / Gao, Jianmei / Zhou, Xue / Huang, Minglei / Wang, Xianyao / He, Zhixu

    Oncology letters

    2024  Volume 27, Issue 6, Page(s) 255

    Abstract: Esophageal cancer (EC) is a common form of malignant tumor in the digestive system that is classified into two types: Esophageal squamous cell carcinomas (ESCC) and esophageal adenocarcinoma. ESCC is known for its early onset of symptoms, which can be ... ...

    Abstract Esophageal cancer (EC) is a common form of malignant tumor in the digestive system that is classified into two types: Esophageal squamous cell carcinomas (ESCC) and esophageal adenocarcinoma. ESCC is known for its early onset of symptoms, which can be difficult to identify, as well as its rapid progression and tendency to develop drug resistance to chemotherapy and radiotherapy. These factors contribute to the high incidence of disease and low cure rate. Therefore, a diagnostic biomarker and therapeutic target need to be identified for ESCC. Non-coding RNAs (ncRNAs) are a class of molecules that are transcribed from DNA but do not encode proteins. Initially, ncRNAs were considered to be non-functional segments generated during transcription. However, with advancements in high-throughput sequencing technologies in recent years, ncRNAs have been associated with poor prognosis, drug resistance and progression of ESCC. The present study provides a comprehensive overview of the biogenesis, characteristics and functions of ncRNAs, particularly focusing on microRNA, long ncRNAs and circular RNAs. Furthermore, the ncRNAs that could potentially be used as diagnostic biomarkers and therapeutic targets for ESCC are summarized to highlight their application value and prospects in ESCC.
    Language English
    Publishing date 2024-04-09
    Publishing country Greece
    Document type Journal Article ; Review
    ZDB-ID 2573196-8
    ISSN 1792-1082 ; 1792-1074
    ISSN (online) 1792-1082
    ISSN 1792-1074
    DOI 10.3892/ol.2024.14388
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  4. Book ; Online: Multi-Target Cooperative Visible Light Positioning

    Wang, Xianyao / Liu, Sicong

    A Compressed Sensing Based Framework

    2023  

    Abstract: In this paper, a compressed sensing (CS) based framework of multi-target cooperative visible light positioning (VLP) is formulated to realize simultaneous highaccuracy localization of multiple targets. The light emitting diodes (LEDs) intended for ... ...

    Abstract In this paper, a compressed sensing (CS) based framework of multi-target cooperative visible light positioning (VLP) is formulated to realize simultaneous highaccuracy localization of multiple targets. The light emitting diodes (LEDs) intended for illumination are utilized to locate multiple target mobile terminals equipped with photodetectors. The indoor area can be divided into a two-dimensional grid of discrete points, and the targets are located in only a few grid points, which has a sparse property. Thus, the multitarget localization problem can be transferred into a sparse recovery problem. Specifically, a CS-based framework is formulated exploiting the superposition of the received visible light signals at the multiple targets to be located via intertarget cooperation. Then it can be efficiently resolved using CS-based algorithms. Moreover, inter-anchor cooperation is introduced to the CS-based framework by the crosscorrelation between the signals corresponding to different LEDs, i.e., anchors, which further improves the localization accuracy. Enabled by the proposed CS-based framework and the devised cooperation mechanism, the proposed scheme can simultaneously locate multiple targets with high precision and low computational complexity. Simulation results show that the proposed schemes can achieve centimeter-level multitarget positioning with sub-meter accuracy, which outperforms existing benchmark schemes.

    Comment: This paper has been accepted by and is to appear in Proc. 2023 IEEE International Conference on Communications (ICC)
    Keywords Electrical Engineering and Systems Science - Signal Processing
    Subject code 518
    Publishing date 2023-03-05
    Publishing country us
    Document type Book ; Online
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  5. Article ; Online: Astaxanthin alleviates lipopolysaccharide-induced acute lung injury by suppressing ferroptosis.

    Dong, Xue / Li, Dandan / Fang, Zhiyao / Zhang, Chenyang / Wang, Jia / Wan, Xianyao

    Food & function

    2023  Volume 14, Issue 13, Page(s) 6115–6127

    Abstract: ... ...

    Abstract Background
    MeSH term(s) Mice ; Animals ; Ferroptosis ; Lipopolysaccharides/adverse effects ; Acute Lung Injury/chemically induced ; Acute Lung Injury/drug therapy ; Lung ; Ferritins
    Chemical Substances Lipopolysaccharides ; astaxanthine (8XPW32PR7I) ; Ferritins (9007-73-2)
    Language English
    Publishing date 2023-07-03
    Publishing country England
    Document type Journal Article
    ZDB-ID 2612033-1
    ISSN 2042-650X ; 2042-6496
    ISSN (online) 2042-650X
    ISSN 2042-6496
    DOI 10.1039/d3fo01727c
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  6. Article ; Online: Revealing novel pyroptosis-related therapeutic targets for sepsis based on machine learning

    Ying Chen / Xingkai Wang / Jiaxin Wang / Junwei Zong / Xianyao Wan

    BMC Medical Genomics, Vol 16, Iss 1, Pp 1-

    2023  Volume 15

    Abstract: Abstract Background Sepsis is one of the most lethal diseases worldwide. Pyroptosis is a unique form of cell death, and the mechanism of interaction with sepsis is not yet clear. The aim of this study was to uncover pyroptosis genes associated with ... ...

    Abstract Abstract Background Sepsis is one of the most lethal diseases worldwide. Pyroptosis is a unique form of cell death, and the mechanism of interaction with sepsis is not yet clear. The aim of this study was to uncover pyroptosis genes associated with sepsis and to provide early therapeutic targets for the treatment of sepsis. Methods Based on the GSE134347 dataset, sepsis-related genes were mined by differential expression analysis and weighted gene coexpression network analysis (WGCNA). Subsequently, the sepsis-related genes were analysed for enrichment, and a protein‒protein interaction (PPI) network was constructed. We performed unsupervised consensus clustering of sepsis patients based on 33 pyroptosis-related genes (PRGs) provided by prior reviews. We finally obtained the PRGs mostly associated with sepsis by machine learning prediction models combined with prior reviews. The GSE32707 dataset served as an external validation dataset to validate the model and PRGs via receiver operating characteristic (ROC) curves. The NetworkAnalyst online tool was utilized to create a ceRNA network of lncRNAs and miRNAs around PRGs mostly associated with sepsis. Results A total of 170 genes associated with sepsis and 13 hub genes were acquired by WGCNA and PPI network analysis. The results of the enrichment analysis implied that these genes were mainly involved in the regulation of the inflammatory response and the positive regulation of bacterial and fungal defence responses. The prolactin signalling pathway and IL-17 signalling pathway were the primary enrichment pathways. Thirty-three PRGs can effectively classify septic patients into two subtypes, implying that there is a reciprocal relationship between sepsis and pyroptosis. Eventually, NLRC4 was considered the PRG most strongly associated with sepsis. The validation results of the prediction model and NLRC4 based on ROC curves were 0.74 and 0.67, respectively, both of which showed better predictive values. Meanwhile, the ceRNA network consisting of 6 lncRNAs and 2 ...
    Keywords Sepsis ; WGCNA ; Pyroptosis ; Machine learning ; Prediction model ; Internal medicine ; RC31-1245 ; Genetics ; QH426-470
    Subject code 572
    Language English
    Publishing date 2023-02-01T00:00:00Z
    Publisher BMC
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  7. Article: Transcriptome Identification and Analysis of Fatty Acid Desaturase Gene Expression at Different Temperatures in

    Gong, Dianliang / Cong, Hua / Liu, Shiyu / Zhang, Liang / Wei, Tianhui / Shi, Xinyue / Wang, Zhiwei / Wu, Xianyao / Song, Jinzhu

    Microorganisms

    2023  Volume 11, Issue 12

    Abstract: ... Tausonia ... ...

    Abstract Tausonia pullulans
    Language English
    Publishing date 2023-12-04
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2720891-6
    ISSN 2076-2607
    ISSN 2076-2607
    DOI 10.3390/microorganisms11122916
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  8. Article ; Online: Revealing novel pyroptosis-related therapeutic targets for sepsis based on machine learning.

    Chen, Ying / Wang, Xingkai / Wang, Jiaxin / Zong, Junwei / Wan, Xianyao

    BMC medical genomics

    2023  Volume 16, Issue 1, Page(s) 23

    Abstract: Background: Sepsis is one of the most lethal diseases worldwide. Pyroptosis is a unique form of cell death, and the mechanism of interaction with sepsis is not yet clear. The aim of this study was to uncover pyroptosis genes associated with sepsis and ... ...

    Abstract Background: Sepsis is one of the most lethal diseases worldwide. Pyroptosis is a unique form of cell death, and the mechanism of interaction with sepsis is not yet clear. The aim of this study was to uncover pyroptosis genes associated with sepsis and to provide early therapeutic targets for the treatment of sepsis.
    Methods: Based on the GSE134347 dataset, sepsis-related genes were mined by differential expression analysis and weighted gene coexpression network analysis (WGCNA). Subsequently, the sepsis-related genes were analysed for enrichment, and a protein‒protein interaction (PPI) network was constructed. We performed unsupervised consensus clustering of sepsis patients based on 33 pyroptosis-related genes (PRGs) provided by prior reviews. We finally obtained the PRGs mostly associated with sepsis by machine learning prediction models combined with prior reviews. The GSE32707 dataset served as an external validation dataset to validate the model and PRGs via receiver operating characteristic (ROC) curves. The NetworkAnalyst online tool was utilized to create a ceRNA network of lncRNAs and miRNAs around PRGs mostly associated with sepsis.
    Results: A total of 170 genes associated with sepsis and 13 hub genes were acquired by WGCNA and PPI network analysis. The results of the enrichment analysis implied that these genes were mainly involved in the regulation of the inflammatory response and the positive regulation of bacterial and fungal defence responses. The prolactin signalling pathway and IL-17 signalling pathway were the primary enrichment pathways. Thirty-three PRGs can effectively classify septic patients into two subtypes, implying that there is a reciprocal relationship between sepsis and pyroptosis. Eventually, NLRC4 was considered the PRG most strongly associated with sepsis. The validation results of the prediction model and NLRC4 based on ROC curves were 0.74 and 0.67, respectively, both of which showed better predictive values. Meanwhile, the ceRNA network consisting of 6 lncRNAs and 2 miRNAs was constructed around NLRC4.
    Conclusion: NLRC4, as the PRG mostly associated with sepsis, could be considered a potential target for treatment. The 6 lncRNAs and 2 miRNAs centred on NLRC4 could serve as a further research direction to uncover the deeper pathogenesis of sepsis.
    MeSH term(s) Humans ; Pyroptosis/genetics ; RNA, Long Noncoding ; MicroRNAs ; Sepsis/genetics ; Machine Learning
    Chemical Substances RNA, Long Noncoding ; MicroRNAs
    Language English
    Publishing date 2023-02-10
    Publishing country England
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2411865-5
    ISSN 1755-8794 ; 1755-8794
    ISSN (online) 1755-8794
    ISSN 1755-8794
    DOI 10.1186/s12920-023-01453-7
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article ; Online: Effects and Mechanism of the

    Meng, Xianyao / Guo, Miaomiao / Geng, Zaijun / Wang, Ziqiang / Zhang, Huirong / Li, Sunhua / Ling, Xiao / Li, Li

    Molecules (Basel, Switzerland)

    2023  Volume 28, Issue 5

    Abstract: Leontopodium ... ...

    Abstract Leontopodium alpinum
    MeSH term(s) Humans ; Male ; Reactive Oxygen Species/metabolism ; Matrix Metalloproteinase 1/metabolism ; Foreskin/metabolism ; Calcium/pharmacology ; Plant Extracts/chemistry ; Fibroblasts ; Rod Opsins/pharmacology
    Chemical Substances Reactive Oxygen Species ; Matrix Metalloproteinase 1 (EC 3.4.24.7) ; Calcium (SY7Q814VUP) ; Plant Extracts ; OPN3 protein, human ; Rod Opsins
    Language English
    Publishing date 2023-02-26
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 1413402-0
    ISSN 1420-3049 ; 1431-5165 ; 1420-3049
    ISSN (online) 1420-3049
    ISSN 1431-5165 ; 1420-3049
    DOI 10.3390/molecules28052172
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  10. Article ; Online: Functional and aesthetic recovery of the second toe defect using a wrap-around pedicled flap from the great toe.

    Wang, Jin / Xue, Mingyu / Lu, Hao / Tao, Xianyao / Qiang, Li / Zhou, Xiao

    The Journal of hand surgery, European volume

    2023  Volume 48, Issue 9, Page(s) 926–929

    Abstract: We report the results of using a fibula-sided digital artery pedicled flap from the great toe to cover the second toe free flap donor site, which avoids delayed wound healing, and prevents pain and skin ulceration. This study included 15 patients who had ...

    Abstract We report the results of using a fibula-sided digital artery pedicled flap from the great toe to cover the second toe free flap donor site, which avoids delayed wound healing, and prevents pain and skin ulceration. This study included 15 patients who had second toe wrap-around free flaps to reconstruct thumb and finger defects. All 15 pedicled flaps used to cover the defect healed uneventfully. All patients were able to stand and walk and were satisfied with the postoperative aesthetic outcome at the 6-month follow-up. We conclude that this an effective procedure for preventing donor site defects after second toe wrap-around free flap transfer.
    MeSH term(s) Humans ; Hallux/surgery ; Toes/surgery ; Free Tissue Flaps ; Thumb/surgery ; Wound Healing ; Finger Injuries/surgery ; Skin Transplantation ; Treatment Outcome
    Language English
    Publishing date 2023-06-19
    Publishing country England
    Document type Journal Article
    ZDB-ID 2272801-6
    ISSN 2043-6289 ; 1753-1934
    ISSN (online) 2043-6289
    ISSN 1753-1934
    DOI 10.1177/17531934231181329
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