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  1. Article ; Online: T cells: Surviving a decade of cell proliferation in vivo.

    Chen, Wenhao / Li, Xian C

    American journal of transplantation : official journal of the American Society of Transplantation and the American Society of Transplant Surgeons

    2023  Volume 23, Issue 5, Page(s) 593–594

    MeSH term(s) T-Lymphocytes ; Cell Proliferation ; Apoptosis
    Language English
    Publishing date 2023-03-31
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2060594-8
    ISSN 1600-6143 ; 1600-6135
    ISSN (online) 1600-6143
    ISSN 1600-6135
    DOI 10.1016/j.ajt.2023.03.024
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Study of ternary deep eutectic solvents to enhance the bending properties of ash wood.

    Bai, Ruocai / Wang, Wenhao / Chen, Mengyao / Wu, Yan

    RSC advances

    2024  Volume 14, Issue 12, Page(s) 8090–8099

    Abstract: Deep eutectic solvents (DESs) are considered one of the most promising biomass pretreatment reagents, and their research applications in woody fibrous biomass are increasing yearly. Inspired by the research related to wood bending, we explored the ... ...

    Abstract Deep eutectic solvents (DESs) are considered one of the most promising biomass pretreatment reagents, and their research applications in woody fibrous biomass are increasing yearly. Inspired by the research related to wood bending, we explored the effects of different DES systems on the bending development of wood, and the results showed that the addition of anhydrous ferric trichloride to the DES system of lactic acid/choline chloride could enhance the treatment effect that increased the bendability and torsion resistance of ash wood. The anhydrous FeCl
    Language English
    Publishing date 2024-03-08
    Publishing country England
    Document type Journal Article
    ISSN 2046-2069
    ISSN (online) 2046-2069
    DOI 10.1039/d4ra00357h
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: The role of solution temperature in characteristics of TiO

    Xian, Wenhao / Liu, Yingjie / Qi, Qingjie / Liu, Han / Wang, Yue / Chen, Changbin

    RSC advances

    2024  Volume 14, Issue 13, Page(s) 8790–8800

    Abstract: The characteristics of ... ...

    Abstract The characteristics of TiO
    Language English
    Publishing date 2024-03-15
    Publishing country England
    Document type Journal Article
    ISSN 2046-2069
    ISSN (online) 2046-2069
    DOI 10.1039/d4ra00875h
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: Riboflavin secreted by

    Cheng, Manman / Zhang, Haikun / Li, Yan / Chen, Wenhao

    RSC advances

    2023  Volume 13, Issue 49, Page(s) 34445–34454

    Abstract: The biological reduction of selenite (Se(iv)) or tellurite (Te(iv)) to ... ...

    Abstract The biological reduction of selenite (Se(iv)) or tellurite (Te(iv)) to Se
    Language English
    Publishing date 2023-11-24
    Publishing country England
    Document type Journal Article
    ISSN 2046-2069
    ISSN (online) 2046-2069
    DOI 10.1039/d3ra07093j
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: Fabrication of a VO

    Zhang, Wenhao / Wu, Xiqi / Li, Liang / Zou, Chongwen / Chen, Yuhang

    ACS applied materials & interfaces

    2023  Volume 15, Issue 10, Page(s) 13517–13525

    Abstract: Vanadium dioxide ( ... ...

    Abstract Vanadium dioxide (VO
    Language English
    Publishing date 2023-03-01
    Publishing country United States
    Document type Journal Article
    ISSN 1944-8252
    ISSN (online) 1944-8252
    DOI 10.1021/acsami.2c21935
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: Induction of fetomaternal tolerance? Suppressing B cells!

    Chen, Wenhao / Li, Xian C

    American journal of transplantation : official journal of the American Society of Transplantation and the American Society of Transplant Surgeons

    2022  Volume 22, Issue 8, Page(s) 1939

    MeSH term(s) B-Lymphocytes ; Immune Tolerance
    Language English
    Publishing date 2022-08-02
    Publishing country United States
    Document type Editorial
    ZDB-ID 2060594-8
    ISSN 1600-6143 ; 1600-6135
    ISSN (online) 1600-6143
    ISSN 1600-6135
    DOI 10.1111/ajt.16668
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article ; Online: Integrative analysis of metabolomics and transcriptomics to uncover biomarkers in sepsis.

    Chen, Wenhao / Guo, Wentao / Li, Yang / Chen, Muhu

    Scientific reports

    2024  Volume 14, Issue 1, Page(s) 9676

    Abstract: To utilize metabolomics in conjunction with RNA sequencing to identify biomarkers in the blood of sepsis patients and discover novel targets for diagnosing and treating sepsis. In January 2019 and December 2020, blood samples were collected from a cohort ...

    Abstract To utilize metabolomics in conjunction with RNA sequencing to identify biomarkers in the blood of sepsis patients and discover novel targets for diagnosing and treating sepsis. In January 2019 and December 2020, blood samples were collected from a cohort of 16 patients diagnosed with sepsis and 11 patients diagnosed with systemic inflammatory response syndrome (SIRS). Non-targeted metabolomics analysis was conducted using liquid chromatography coupled with mass spectrometry (LC-MS/MS technology), while gene sequencing was performed using RNA sequencing. Afterward, the metabolite data and sequencing data underwent quality control and difference analysis, with a fold change (FC) greater than or equal to 2 and a false discovery rate (FDR) less than 0.05.Co-analysis was then performed to identify differential factors with consistent expression trends based on the metabolic pathway context; KEGG enrichment analysis was performed on the crossover factors, and Meta-analysis of the targets was performed at the transcriptome level using the public dataset. In the end, a total of five samples of single nucleated cells from peripheral blood (two normal controls, one with systemic inflammatory response syndrome, and two with sepsis) were collected and examined to determine the cellular location of the essential genes using 10× single cell RNA sequencing (scRNA-seq). A total of 485 genes and 1083 metabolites were found to be differentially expressed in the sepsis group compared to the SIRS group. Among these, 40 genes were found to be differentially expressed in both the metabolome and transcriptome. Functional enrichment analysis revealed that these genes were primarily involved in biological processes related to inflammatory response, immune regulation, and amino acid metabolism. Furthermore, a meta-analysis identified four genes, namely ITGAM, CD44, C3AR1, and IL2RG, which were highly expressed in the sepsis group compared to the normal group (P < 0.05). Additionally, scRNA-seq analysis revealed that the core genes ITGAM and C3AR1 were predominantly localized within the macrophage lineage. The primary genes ITGAM and C3AR1 exhibit predominant expression in macrophages, which play a significant role in inflammatory and immune responses. Moreover, these genes show elevated expression levels in the plasma of individuals with sepsis, indicating their potential as valuable subjects for further research in sepsis.
    MeSH term(s) Humans ; Sepsis/genetics ; Sepsis/blood ; Sepsis/metabolism ; Biomarkers/blood ; Metabolomics/methods ; Male ; Female ; Middle Aged ; Transcriptome ; Gene Expression Profiling ; Aged ; Adult ; Chromatography, Liquid ; Tandem Mass Spectrometry ; Systemic Inflammatory Response Syndrome/genetics ; Systemic Inflammatory Response Syndrome/blood ; Systemic Inflammatory Response Syndrome/metabolism ; Systemic Inflammatory Response Syndrome/diagnosis
    Chemical Substances Biomarkers
    Language English
    Publishing date 2024-04-27
    Publishing country England
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2615211-3
    ISSN 2045-2322 ; 2045-2322
    ISSN (online) 2045-2322
    ISSN 2045-2322
    DOI 10.1038/s41598-024-59400-0
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article: Parthenolide induces ROS-dependent cell death in human gastric cancer cell.

    Han, Dandan / Zhu, Wenhao / Chen, Yang / Wang, Huiru

    Advances in clinical and experimental medicine : official organ Wroclaw Medical University

    2024  

    Abstract: Background: Parthenolide (PN), a key active ingredient of feverfew, has been used to treat gastrointestinal disorders. However, the mechanism of the cytotoxic effect exerted by PN on tumor cells has not been elucidated.: Objectives: To study the ... ...

    Abstract Background: Parthenolide (PN), a key active ingredient of feverfew, has been used to treat gastrointestinal disorders. However, the mechanism of the cytotoxic effect exerted by PN on tumor cells has not been elucidated.
    Objectives: To study the cytotoxic effect of PN on human gastric cancer cells, the specific death mode, and gene expression changes induced by PN.
    Material and methods: In this study, MGC-803 cells were used to study PN-induced cytotoxicity as a gastric cancer cell line. Assays of cell proliferation, cell cycle distribution, apoptosis, and reactive oxygen species (ROS) were performed using a Cell Counting Kit-8 (CCK-8) assay and a flow cytometer. MGC-803 cells treated with and without PN were separately subjected to high-throughput RNA sequencing. Western blotting was used to investigate the expression of some important proteins.
    Results: Parthenolide exposure elicited cell proliferation inhibition in a doseand time-dependent manner. Parthenolide induced cell cycle arrest at the G1 and S stages. Parthenolide-induced caspase-dependent apoptosis and necroptosis were caused by the activation of RIP, RIP3 and MLKL. MGC-803 cells showed a response to ROS and oxidative stress after PN treatment. Moreover, ROS and cytotoxicity induced by PN were significantly attenuated by a ROS scavenger catalase.
    Conclusions: Parthenolide-induced gastric cancer cell death is a complex ROS-dependent process different from ordinary apoptosis and necrosis, suggesting that PN is a potential treatment option for gastric cancer.
    Language English
    Publishing date 2024-01-10
    Publishing country Poland
    Document type Journal Article
    ZDB-ID 2270257-X
    ISSN 1899-5276 ; 1230-025X
    ISSN 1899-5276 ; 1230-025X
    DOI 10.17219/acem/175152
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article ; Online: T cells with stem cell-like properties mediate type 1 diabetes.

    Chen, Wenhao / Li, Xian C

    American journal of transplantation : official journal of the American Society of Transplantation and the American Society of Transplant Surgeons

    2022  Volume 22, Issue 4, Page(s) 1005

    MeSH term(s) Diabetes Mellitus, Type 1 ; Humans ; Islets of Langerhans Transplantation ; Stem Cells ; T-Lymphocytes
    Language English
    Publishing date 2022-01-23
    Publishing country United States
    Document type Editorial
    ZDB-ID 2060594-8
    ISSN 1600-6143 ; 1600-6135
    ISSN (online) 1600-6143
    ISSN 1600-6135
    DOI 10.1111/ajt.16652
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article ; Online: Registration of multimodal bone images based on edge similarity metaheuristic.

    Zhou, Dibin / Yu, Chen / Liu, Wenhao / Liu, Fuchang

    Computers in biology and medicine

    2024  Volume 174, Page(s) 108379

    Abstract: Objective: Blurry medical images affect the accuracy and efficiency of multimodal image registration, whose existing methods require further improvement.: Methods: We propose an edge-based similarity registration method optimised for multimodal ... ...

    Abstract Objective: Blurry medical images affect the accuracy and efficiency of multimodal image registration, whose existing methods require further improvement.
    Methods: We propose an edge-based similarity registration method optimised for multimodal medical images, especially bone images, by a balance optimiser. First, we use a GPU (graphics processing unit) rendering simulation to convert computed tomography data into digitally reconstructed radiographs. Second, we introduce the improved cascaded edge network (ICENet), a convolutional neural network that extracts edge information of blurry medical images. Then, the bilateral Gaussian-weighted similarity of pairs of X-ray images and digitally reconstructed radiographs is measured. The a balanced optimiser is iteratively applied to finally estimate the best pose to perform image registration.
    Results: Experimental results show that, on average, the proposed method with ICENet outperforms other edge detection networks by 20%, 12%, 18.83%, and 11.93% in the overall Dice similarity, overall intersection over union, peak signal-to-noise ratio, and structural similarity index, respectively, with a registration success rate up to 90% and average reduction of 220% in registration time.
    Conclusion: The proposed method with ICENet can achieve a high registration success rate even for blurry medical images, and its efficiency and robustness are higher than those of existing methods.
    Significance: Our proposal may be suitable for supporting medical diagnosis, radiation therapy, image-guided surgery, and other clinical applications.
    MeSH term(s) Humans ; Bone and Bones/diagnostic imaging ; Tomography, X-Ray Computed/methods ; Neural Networks, Computer ; Algorithms ; Multimodal Imaging/methods ; Image Processing, Computer-Assisted/methods
    Language English
    Publishing date 2024-04-04
    Publishing country United States
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 127557-4
    ISSN 1879-0534 ; 0010-4825
    ISSN (online) 1879-0534
    ISSN 0010-4825
    DOI 10.1016/j.compbiomed.2024.108379
    Database MEDical Literature Analysis and Retrieval System OnLINE

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