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  1. Book: Recent advances in cancer research and therapy

    Liu, Xin-Yuan / Pestka, Sidney / Shi, Yufang

    (Elsevier insights)

    2012  

    Author's details Xin-Yuan Liu ; Sidney Pestka ; Yu-Fang Shi
    Series title Elsevier insights
    Language English
    Size XXVI, 674 S. : Ill., graph. Darst.
    Edition 1. ed.
    Publisher Elsevier
    Publishing place Amsterdam u.a.
    Publishing country United States
    Document type Book
    HBZ-ID HT017252214
    ISBN 978-0-12-397833-2 ; 0-12-397833-5
    Database Catalogue ZB MED Medicine, Health

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  2. Article ; Online: Ferroptosis: Promising approach for cancer and cancer immunotherapy.

    Zheng, Shuyue / Guan, Xin-Yuan

    Cancer letters

    2023  Volume 561, Page(s) 216152

    Abstract: Ferroptosis is the cell death induced by ferrous ions and lipid peroxidation accumulation in tumor cells. Targeting ferroptosis, which is regulated by various metabolic and immune elements, might become a novel strategy for anti-tumor therapy. In this ... ...

    Abstract Ferroptosis is the cell death induced by ferrous ions and lipid peroxidation accumulation in tumor cells. Targeting ferroptosis, which is regulated by various metabolic and immune elements, might become a novel strategy for anti-tumor therapy. In this review, we will focus on the mechanism of ferroptosis and its interaction with cancer and tumor immune microenvironment, especially for the relationship between immune cells and ferroptosis. Also, we will discuss the latest preclinical progress of the collaboration between the ferroptosis-targeted drugs and immunotherapy, and the best potential conditions for their combined use. It will present a future insight on the possible value of ferroptosis in cancer immunotherapy.
    MeSH term(s) Humans ; Ferroptosis ; Immunotherapy ; Neoplasms/therapy ; Drug Delivery Systems ; Cell Death ; Tumor Microenvironment
    Language English
    Publishing date 2023-04-04
    Publishing country Ireland
    Document type Journal Article ; Review ; Research Support, Non-U.S. Gov't
    ZDB-ID 195674-7
    ISSN 1872-7980 ; 0304-3835
    ISSN (online) 1872-7980
    ISSN 0304-3835
    DOI 10.1016/j.canlet.2023.216152
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Evaluation of Children’s Thermal Environment in Nursery School

    Xin Yuan / Yuji Ryu

    International Journal of Environmental Research and Public Health, Vol 19, Iss 2866, p

    Through the Questionnaire and Measurement of Wearable Sensors Approach

    2022  Volume 2866

    Abstract: Due to psychological and physical differences, children are more vulnerable to the influence of the surrounding environment than adults. A nursery school in Japan was selected as the research object. The actual thermal environment of children aged 1 to 5 ...

    Abstract Due to psychological and physical differences, children are more vulnerable to the influence of the surrounding environment than adults. A nursery school in Japan was selected as the research object. The actual thermal environment of children aged 1 to 5 in the classroom was evaluated based on measured data in winter and summer. Through a questionnaire survey of nursery teachers, this paper analyzed and compared the relationship between teachers’ thermal adaptation behavior and children’s thermal sensation. Compared with the traditional fixed-points measurement method, a method of wearable sensors for children was proposed to measure the indoor temperature distribution. The traditional measurement results showed that 73% of classroom indoor temperatures and humidity do not meet the thermal comfort standard stipulated by the government. The method proposed in this paper indicates that: (1) nursery teachers’ thermal adaptation behavior may not be based on children’s thermal sensations; (2) solar radiation and weather context could lead to uneven indoor horizontal temperature distribution, hence, specific attention should be paid to the thermal environment when children move to the window side; and (3) the density of occupants causes the temperature around the human body to be relatively high. We suggest that teachers improve the thermal comfort of gathered children through thermal adaptive behaviors. The results of the study provide valuable information for nursery managers to formulate effective indoor thermal environment strategies from the perspective of children.
    Keywords children ; indoor thermal environment ; wearable sensor ; adaptive comfort behavior ; Medicine ; R
    Subject code 690
    Language English
    Publishing date 2022-03-01T00:00:00Z
    Publisher MDPI AG
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  4. Article ; Online: Application of Artificial Intelligence Nuclear Medicine Automated Images Based on Deep Learning in Tumor Diagnosis

    Jian Sun / Xin Yuan

    Journal of Healthcare Engineering, Vol

    2022  Volume 2022

    Abstract: In order to correctly obtain normal tissues and organs and tumor lesions, the research on multimodal medical image segmentation based on deep learning fully automatic segmentation algorithm is more meaningful. This article aims to study the application ... ...

    Abstract In order to correctly obtain normal tissues and organs and tumor lesions, the research on multimodal medical image segmentation based on deep learning fully automatic segmentation algorithm is more meaningful. This article aims to study the application of deep learning-based artificial intelligence nuclear medicine automated images in tumor diagnosis. This paper studies the methods to improve the accuracy of the segmentation algorithm from the perspective of boundary recognition and shape changeable adaptive capabilities, studies the active contour model based on boundary constraints, and proposes a superpixel boundary-aware convolution network to realize the automatic CT cutting algorithm. In this way, the tumor image can be cut more accurately. The experimental results in this paper show that the improved algorithm in this paper is more robust than the traditional CT algorithm in terms of accuracy and sensitivity, an increase of about 12%, and a slight increase in the negative prediction rate of 3%. In the comparison of cutting images of malignant tumors, the cutting effect of the algorithm in this paper is about 34% higher than that of the traditional algorithm.
    Keywords Medicine (General) ; R5-920 ; Medical technology ; R855-855.5
    Subject code 006
    Language English
    Publishing date 2022-01-01T00:00:00Z
    Publisher Hindawi Limited
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  5. Article ; Online: Exploration of Professor Liu Taofeng's experience in the treatment of eczema based on Data Mining Technology

    Xin-Yuan Guo

    Journal of Hainan Medical University, Vol 26, Iss 4, Pp 50-

    2020  Volume 55

    Abstract: Objective: To explore the clinical medication law of Professor Liu Taofeng in the treatment of eczema by using data mining technology. Methods: the cases of eczema treated by Professor Liu Taofeng in the outpatient department of the First Affiliated ... ...

    Abstract Objective: To explore the clinical medication law of Professor Liu Taofeng in the treatment of eczema by using data mining technology. Methods: the cases of eczema treated by Professor Liu Taofeng in the outpatient department of the First Affiliated Hospital of Anhui University of traditional Chinese medicine from June 2018 to October 2019 were collected and sorted out. The database was established with the help of Microsoft Excel 2016, SPSS statistical 24.0 and SPSS modeler 18.0 computer software, and the frequency analysis, high-frequency drug association rule analysis and cluster analysis were carried out. Results: among the 255 prescriptions included in the study, 41 traditional Chinese medicines were involved, and the top 10 drugs were fresh white skin, cortex Scutellariae, Cortex Moutan, Tribulus terrestris, Sophora flavescens, Salvia miltiorrhiza, Atractylodes macrocephala, Poria cocos, liquorice, and Cynanchum paniculatum; 10 pairs of 2 drugs were associated by association analysis, such as "Tribulus terrestris → fresh white skin, Sophora flavescens → cortex Scutellariae"; and "Poria cocos, Atractylodes macrocephala, lentils" were obtained by cluster analysis. Conclusion: Professor Liu Taofeng paid more attention to the heart and liver in the treatment of eczema, taking clearing away heat, cooling blood and removing dampness as the main treatment, and paid more attention to invigorating the spleen and stomach or removing blood stasis.
    Keywords eczema ; liu taofeng ; association analysis ; cluster analysis ; data mining ; Medicine ; R
    Subject code 001
    Language English
    Publishing date 2020-02-01T00:00:00Z
    Publisher Editorial Board of Journal of Hainan Medical University
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  6. Article ; Online: Optimization of the Double-Expansion Film-Cooling Hole Using CFD

    Zhen Zhang / Tianyu Hu / Xinrong Su / Xin Yuan

    Entropy, Vol 25, Iss 410, p

    2023  Volume 410

    Abstract: Film cooling is a major cooling technique used in modern gas turbines and air engines. The geometry of film-cooling holes is the fundamental aspect affecting the cooling performance. In this paper, a new cooling configuration called the double-expansion ... ...

    Abstract Film cooling is a major cooling technique used in modern gas turbines and air engines. The geometry of film-cooling holes is the fundamental aspect affecting the cooling performance. In this paper, a new cooling configuration called the double-expansion film-cooling hole has been put forward, which yields better performance than the widely used shaped holes and is easy to manufacture. The double-expansion holes at inclination angles of <semantics> α = 30 ∘ </semantics> , <semantics> 45 ∘ </semantics> , and <semantics> 60 ∘ </semantics> are optimized using the genetic algorithm and the Kriging surrogate model, which is trained by CFD data randomly sampled using the Latin hypercube method. The numerically optimized double-expansion holes at different inclination angles were experimentally evaluated and compared with the optimized single-expansion laid-back fan-shaped holes, and the optimized double-expansion hole at <semantics> α = 30 ∘ </semantics> was manually modified based on experiment results. Compared with the optimal single-expansion holes, the area-averaged cooling effectiveness of the double-expansion holes was increased by <semantics> 34.5 % </semantics> at <semantics> α = 30 ∘ </semantics> , by <semantics> 27.8 % </semantics> at <semantics> α = 45 ∘ </semantics> , and basically the same at <semantics> α = 60 ∘ </semantics> , showing the benefit of the double-expansion concept. The loss mechanism of film cooling was also analyzed in the perspective of the entropy generation rate, showing the optimal double-expansion holes have 21% less loss compared to a baseline narrow single-expansion hole. It was also found that CFD sometimes predicts a different trend from the experiment in optimization, and the experimental validation is necessary.
    Keywords film cooling ; double-expansion hole ; numerical optimization ; genetic algorithm ; aerodynamic loss ; Science ; Q ; Astrophysics ; QB460-466 ; Physics ; QC1-999
    Subject code 511
    Language English
    Publishing date 2023-02-01T00:00:00Z
    Publisher MDPI AG
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  7. Article ; Online: Single-cell and spatial transcriptomics

    Xianglin Long / Xin Yuan / Jianlin Du

    Computational and Structural Biotechnology Journal, Vol 21, Iss , Pp 2717-

    Advances in heart development and disease applications

    2023  Volume 2731

    Abstract: Current transcriptomics technologies, including bulk RNA-seq, single-cell RNA sequencing (scRNA-seq), single-nucleus RNA-sequencing (snRNA-seq), and spatial transcriptomics (ST), provide novel insights into the spatial and temporal dynamics of gene ... ...

    Abstract Current transcriptomics technologies, including bulk RNA-seq, single-cell RNA sequencing (scRNA-seq), single-nucleus RNA-sequencing (snRNA-seq), and spatial transcriptomics (ST), provide novel insights into the spatial and temporal dynamics of gene expression during cardiac development and disease processes. Cardiac development is a highly sophisticated process involving the regulation of numerous key genes and signaling pathways at specific anatomical sites and developmental stages. Exploring the cell biological mechanisms involved in cardiogenesis also contributes to congenital heart disease research. Meanwhile, the severity of distinct heart diseases, such as coronary heart disease, valvular disease, cardiomyopathy, and heart failure, is associated with cellular transcriptional heterogeneity and phenotypic alteration. Integrating transcriptomic technologies in the clinical diagnosis and treatment of heart diseases will aid in advancing precision medicine. In this review, we summarize applications of scRNA-seq and ST in the cardiac field, including organogenesis and clinical diseases, and provide insights into the promise of single-cell and spatial transcriptomics in translational research and precision medicine.
    Keywords Single-cell RNA sequencing ; Spatial transcriptomics ; Cardiogenesis ; Cardiology ; Precision medicine ; Biotechnology ; TP248.13-248.65
    Subject code 610
    Language English
    Publishing date 2023-01-01T00:00:00Z
    Publisher Elsevier
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  8. Article ; Online: Annual advances of traditional medicine on tumor immunity regulation in 2020

    Xue Yang / Xin-Yuan Luan

    Traditional Medicine Research, Vol 6, Iss 3, Pp 1-

    2021  Volume 15

    Abstract: Tumor burden remains a global health problem that threatens human life worldwide. Over the past few years, the evolution of immune checkpoint inhibitors has represented one of the most successful approaches in the field of tumor therapy. Drugs regulating ...

    Abstract Tumor burden remains a global health problem that threatens human life worldwide. Over the past few years, the evolution of immune checkpoint inhibitors has represented one of the most successful approaches in the field of tumor therapy. Drugs regulating tumor immune microenvironment or enhancing body immunity have indicated a novel perspective to treat tumors. Therefore, an increased number of scientists have been shifting their research focus to explore the immunity regulation effects of anti-tumor traditional medicine or natural products. In this review, we summarize the research progress of traditional medicines on tumor immunity regulation in 2020. Our findings suggest that more herbal medicine-derived phytochemicals and formulas were derived from traditional Chinese medicine, and more papers were published in comprehensive journals. Traditional medicine can comprehensively regulate the tumor immune microenvironment, including natural killer cells, dendritic cells, CD4+/CD8+T lymphocytes, regulatory T cells, myeloid-derived suppressor cells, tumor-associated macrophages, immunosuppressive factors, and immune checkpoints. In 2020, a greater number of research papers focused on active ingredients and formulas that regulate tumor-associated macrophages and immune checkpoints. Active ingredients such as flavonoids became a global hotspot in 2020. Certain natural products were also found to exert synergistic anti-tumor activity with immune checkpoint inhibitors, such as curcumin. However, a distinct lack of high-quality experimental and clinical studies remains a prevalent and challenging issue that hinders the further development of traditional medicine.
    Keywords traditional medicine ; traditional chinese medicine ; natural product ; formula ; immunity regulation ; tumor microenvironment ; Medicine ; R ; Miscellaneous systems and treatments ; RZ409.7-999
    Subject code 001
    Language English
    Publishing date 2021-05-01T00:00:00Z
    Publisher Hong Kong Gold Orchid Science and Technology Co., Limited
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  9. Article ; Online: Single-pixel neutron imaging with artificial intelligence

    Xin Yuan / Shensheng Han

    The Innovation, Vol 2, Iss 2, Pp 100100- (2021)

    Breaking the barrier in multi-parameter imaging, sensitivity, and spatial resolution

    2021  

    Keywords Science (General) ; Q1-390
    Language English
    Publishing date 2021-05-01T00:00:00Z
    Publisher Elsevier
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  10. Article ; Online: Expression and correlation analysis of silent information regulator 1 (SIRT1), sterol regulatory element-binding protein-1 (SREBP1), and pyroptosis factor in gestational diabetes mellitus.

    Han, Ning / Chang, Xin-Yuan / Yuan, Zi-Li / Wang, Yi-Zhan

    The journal of maternal-fetal & neonatal medicine : the official journal of the European Association of Perinatal Medicine, the Federation of Asia and Oceania Perinatal Societies, the International Society of Perinatal Obstetricians

    2024  Volume 37, Issue 1, Page(s) 2311809

    Abstract: Background and aim: Globally, the prevalence of gestational diabetes mellitus (GDM) is rising each year, yet its pathophysiology is still unclear. To shed new light on the pathogenesis of gestational diabetes mellitus and perhaps uncover new therapeutic ...

    Abstract Background and aim: Globally, the prevalence of gestational diabetes mellitus (GDM) is rising each year, yet its pathophysiology is still unclear. To shed new light on the pathogenesis of gestational diabetes mellitus and perhaps uncover new therapeutic targets, this study looked at the expression levels and correlations of SIRT1, SREBP1, and pyroptosis factors like NLRP3, Caspase-1, IL-1, and IL-18 in patients with GDM.
    Methods: This study involved a comparative analysis between two groups. The GDM group consisted of 50 GDM patients and the control group included 50 pregnant women with normal pregnancies. Detailed case data were collected for all participants. We utilized real-time quantitative PCR and Western Blot techniques to assess the expression levels of SIRT1 and SREBP1 in placental tissues from both groups. Additionally, we employed an enzyme-linked immunosorbent assay to measure the serum levels of SIRT1, SREBP1, and pyroptosis factors, namely NLRP3, Caspase-1, IL-1β, and IL-18, in the patients of both groups. Subsequently, we analyzed the correlations between these factors and clinical.
    Results: The results showed that there were significantly lower expression levels of SIRT1 in both GDM group placental tissue and serum compared to the control group (
    Conclusions: Low SIRT1 levels and high SREBP1 levels in placental tissue and serum, coupled with elevated levels of pyroptosis factors NLRP3, Caspase-1, IL-1β, and IL-18 in serum, may be linked to the development of gestational diabetes mellitus. Furthermore, these three factors appear to correlate with each other in the pathogenesis of GDM, offering potential directions for future research and therapeutic strategies.
    MeSH term(s) Female ; Humans ; Pregnancy ; Caspases ; Diabetes, Gestational ; Interleukin-18 ; NLR Family, Pyrin Domain-Containing 3 Protein ; Placenta/metabolism ; Pyroptosis ; Sirtuin 1 ; Sterols
    Chemical Substances Caspases (EC 3.4.22.-) ; Interleukin-18 ; NLR Family, Pyrin Domain-Containing 3 Protein ; SIRT1 protein, human (EC 3.5.1.-) ; Sirtuin 1 (EC 3.5.1.-) ; Sterols ; SREBF1 protein, human
    Language English
    Publishing date 2024-02-07
    Publishing country England
    Document type Journal Article
    ZDB-ID 2077261-0
    ISSN 1476-4954 ; 1057-0802 ; 1476-7058
    ISSN (online) 1476-4954
    ISSN 1057-0802 ; 1476-7058
    DOI 10.1080/14767058.2024.2311809
    Database MEDical Literature Analysis and Retrieval System OnLINE

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