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  1. Article ; Online: 18β-glycyrrhetinic acid alleviates radiation-induced skin injury by activating the Nrf2/HO-1 signaling pathway.

    Wang, Zeng / Chen, Ruiqing / Chen, Junying / Su, Li

    Biological chemistry

    2024  

    Abstract: Radiation-induced skin injury is a common side effect of radiotherapy, but there are few therapeutic drugs available for prevention or treatment. In this study, we demonstrate that 18β-Glycyrrhetinic acid (18β-GA), a bioactive component derived ... ...

    Abstract Radiation-induced skin injury is a common side effect of radiotherapy, but there are few therapeutic drugs available for prevention or treatment. In this study, we demonstrate that 18β-Glycyrrhetinic acid (18β-GA), a bioactive component derived from
    Language English
    Publishing date 2024-04-11
    Publishing country Germany
    Document type Journal Article
    ZDB-ID 1334659-3
    ISSN 1437-4315 ; 1431-6730 ; 1432-0355
    ISSN (online) 1437-4315
    ISSN 1431-6730 ; 1432-0355
    DOI 10.1515/hsz-2023-0200
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article: SYT7 (synaptotagmin 7) promotes cervical squamous cell carcinoma.

    Huang, Jinbing / Xu, Wensheng / Huang, Qiaoqiao / Chen, Erling / Chen, Junying

    Heliyon

    2024  Volume 10, Issue 3, Page(s) e24806

    Abstract: Cervical squamous cell carcinoma (CESC) ranks among the primary contributors to global cancer-associated mortality. However, the role mediated by synaptotagmin 7 (SYT7) in CESC remains unclear. Our study employed immunohistochemistry to assess the level ... ...

    Abstract Cervical squamous cell carcinoma (CESC) ranks among the primary contributors to global cancer-associated mortality. However, the role mediated by synaptotagmin 7 (SYT7) in CESC remains unclear. Our study employed immunohistochemistry to assess the level of SYT7 expression in the tissue microarray. Furthermore, lentiviral shRNA transduction was utilized to establish SYT7 knockdown cell line models based on HeLa and SiHa cell lines. The functional impacts of silencing SYT7 expression
    Language English
    Publishing date 2024-01-19
    Publishing country England
    Document type Journal Article
    ZDB-ID 2835763-2
    ISSN 2405-8440
    ISSN 2405-8440
    DOI 10.1016/j.heliyon.2024.e24806
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Deep Learning Ultrasound Computed Tomography Under Sparse Sampling.

    Long, Xiaoyun / Chen, Junying / Liu, Weiyong / Tian, Chao

    IEEE transactions on ultrasonics, ferroelectrics, and frequency control

    2023  Volume 70, Issue 9, Page(s) 1084–1100

    Abstract: Ultrasound computed tomography (USCT) is a fast-emerging imaging modality that is expected to help detect and characterize breast tumors by quantifying the distribution of the speed of sound (SOS) and acoustic attenuation in breast tissue. High-quality ... ...

    Abstract Ultrasound computed tomography (USCT) is a fast-emerging imaging modality that is expected to help detect and characterize breast tumors by quantifying the distribution of the speed of sound (SOS) and acoustic attenuation in breast tissue. High-quality quantitative SOS reconstruction in USCT requires a large number of transducers, which incurs high system costs and slow computation. In contrast, sparsely distributed arrays are low-cost and fast but significantly degrade image quality. Thus, we propose a framework to achieve high-quality SOS reconstruction under sparse sampling based on a convolutional neural network (SRSS-Net) with faster computation. We first apply the bent-ray algorithm to sparsely sampled data and then apply the SRSS-Net to efficiently improve the image quality. Experimental results on synthetic and real datasets demonstrate that the proposed SRSS-Net provides reconstructions that are superior to those of state-of-the-art methods in terms of artifact suppression, structural preservation, quantitative restoration, and computational speed. As demonstrated in our experiments, the fine-tuning training strategy is suggested when applying SRSS-Net to real-world circumstances. The imaging and computational performance of SRSS-Net on the inhomogeneous breast phantom further demonstrates that SRSS-Net has great potential in real-time breast cancer detection.
    MeSH term(s) Deep Learning ; Image Processing, Computer-Assisted/methods ; Tomography, X-Ray Computed ; Neural Networks, Computer ; Ultrasonography ; Algorithms ; Phantoms, Imaging
    Language English
    Publishing date 2023-08-29
    Publishing country United States
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ISSN 1525-8955
    ISSN (online) 1525-8955
    DOI 10.1109/TUFFC.2023.3299954
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: DualConv: Dual Convolutional Kernels for Lightweight Deep Neural Networks.

    Zhong, Jiachen / Chen, Junying / Mian, Ajmal

    IEEE transactions on neural networks and learning systems

    2023  Volume 34, Issue 11, Page(s) 9528–9535

    Abstract: Convolutional neural network (CNN) architectures are generally heavy on memory and computational requirements which make them infeasible for embedded systems with limited hardware resources. We propose dual convolutional kernels (DualConv) for ... ...

    Abstract Convolutional neural network (CNN) architectures are generally heavy on memory and computational requirements which make them infeasible for embedded systems with limited hardware resources. We propose dual convolutional kernels (DualConv) for constructing lightweight deep neural networks. DualConv combines 3×3 and 1×1 convolutional kernels to process the same input feature map channels simultaneously and exploits the group convolution technique to efficiently arrange convolutional filters. DualConv can be employed in any CNN model such as VGG-16 and ResNet-50 for image classification, you only look once (YOLO) and R-CNN for object detection, or fully convolutional network (FCN) for semantic segmentation. In this work, we extensively test DualConv for classification since these network architectures form the backbone for many other tasks. We also test DualConv for image detection on YOLO-V3. Experimental results show that, combined with our structural innovations, DualConv significantly reduces the computational cost and number of parameters of deep neural networks while surprisingly achieving slightly higher accuracy than the original models in some cases. We use DualConv to further reduce the number of parameters of the lightweight MobileNetV2 by 54% with only 0.68% drop in accuracy on CIFAR-100 dataset. When the number of parameters is not an issue, DualConv increases the accuracy of MobileNetV1 by 4.11% on the same dataset. Furthermore, DualConv significantly improves the YOLO-V3 object detection speed and improves its accuracy by 4.4% on PASCAL visual object classes (VOC) dataset.
    Language English
    Publishing date 2023-10-27
    Publishing country United States
    Document type Journal Article
    ISSN 2162-2388
    ISSN (online) 2162-2388
    DOI 10.1109/TNNLS.2022.3151138
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: Unsupervised Pre-Training for Detection Transformers.

    Dai, Zhigang / Cai, Bolun / Lin, Yugeng / Chen, Junying

    IEEE transactions on pattern analysis and machine intelligence

    2023  Volume 45, Issue 11, Page(s) 12772–12782

    Abstract: DEtection TRansformer (DETR) for object detection reaches competitive performance compared with Faster R-CNN via a transformer encoder-decoder architecture. However, trained with scratch transformers, DETR needs large-scale training data and an extreme ... ...

    Abstract DEtection TRansformer (DETR) for object detection reaches competitive performance compared with Faster R-CNN via a transformer encoder-decoder architecture. However, trained with scratch transformers, DETR needs large-scale training data and an extreme long training schedule even on COCO dataset. Inspired by the great success of pre-training transformers in natural language processing, we propose a novel pretext task named random query patch detection in Unsupervised Pre-training DETR (UP-DETR). Specifically, we randomly crop patches from the given image and then feed them as queries to the decoder. The model is pre-trained to detect these query patches from the input image. During the pre-training, we address two critical issues: multi-task learning and multi-query localization. (1) To trade off classification and localization preferences in the pretext task, we find that freezing the CNN backbone is the prerequisite for the success of pre-training transformers. (2) To perform multi-query localization, we develop UP-DETR with multi-query patch detection with attention mask. Besides, UP-DETR also provides a unified perspective for fine-tuning object detection and one-shot detection tasks. In our experiments, UP-DETR significantly boosts the performance of DETR with faster convergence and higher average precision on object detection, one-shot detection and panoptic segmentation. Code and pre-training models: https://github.com/dddzg/up-detr.
    Language English
    Publishing date 2023-10-03
    Publishing country United States
    Document type Journal Article
    ISSN 1939-3539
    ISSN (online) 1939-3539
    DOI 10.1109/TPAMI.2022.3216514
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: Multifunctional nanocoatings with synergistic controlled release of zinc ions and cytokines for precise modulation of vascular intimal reconstruction.

    Tan, Jianying / Wang, Huanran / Liu, Sainan / Li, Li / Liu, Hengquan / Liu, Tao / Chen, Junying

    Nanomedicine : nanotechnology, biology, and medicine

    2024  Volume 57, Page(s) 102739

    Abstract: Vascular stent implantation remains the major therapeutic method for cardiovascular diseases currently. We here introduced crucial biological functional biological function factors (SDF-1α, VEGF) and vital metal ions ( ... ...

    Abstract Vascular stent implantation remains the major therapeutic method for cardiovascular diseases currently. We here introduced crucial biological functional biological function factors (SDF-1α, VEGF) and vital metal ions (Zn
    MeSH term(s) Animals ; Rabbits ; Cytokines ; Zinc/pharmacology ; Vascular Endothelial Growth Factor A ; Delayed-Action Preparations/pharmacology ; Stents
    Chemical Substances Cytokines ; Zinc (J41CSQ7QDS) ; Vascular Endothelial Growth Factor A ; Delayed-Action Preparations
    Language English
    Publishing date 2024-02-08
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2183417-9
    ISSN 1549-9642 ; 1549-9634
    ISSN (online) 1549-9642
    ISSN 1549-9634
    DOI 10.1016/j.nano.2024.102739
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article ; Online: Thrombin Time is a Diagnostic Biomarker of Sudden Sensorineural Hearing Loss and Predicts the Prognosis.

    Chen, Junying / Yang, Yunhua / Huang, Shuna / He, Wenjuan / Lin, Chang

    Ear, nose, & throat journal

    2023  , Page(s) 1455613231190704

    Abstract: Objectives: The aim of this study is to determine whether thrombin time (TT) could be used as diagnostic biomarkers and predict the prognosis for sudden sensorineural hearing loss (SSNHL).: Methods: Sixty-one patients diagnosed with SSNHL and 65 ... ...

    Abstract Objectives: The aim of this study is to determine whether thrombin time (TT) could be used as diagnostic biomarkers and predict the prognosis for sudden sensorineural hearing loss (SSNHL).
    Methods: Sixty-one patients diagnosed with SSNHL and 65 people who underwent physical examination were recruited. Data on the patient's background, clinical course, and laboratory findings were collected. SSNHL patients were divided into the effective and ineffective groups according to the hearing recovery from the treatment and were assessed by binary logistic regression. Receiver-operating characteristic (ROC) analysis was carried out for the best discriminating cutoff value of the biomarker with the corresponding sensitivity and specificity was calculated.
    Results: The SSNHL group exhibited prolonged TT (19.11 ± 1.12 seconds) compared to the control group (17.58 ± 2.18 seconds,
    Conclusions: TT is a potential biomarker of SSNHL and is independently associated with the prognosis of patients with SSNHL.
    Language English
    Publishing date 2023-08-27
    Publishing country United States
    Document type Journal Article
    ZDB-ID 750153-5
    ISSN 1942-7522 ; 0145-5613
    ISSN (online) 1942-7522
    ISSN 0145-5613
    DOI 10.1177/01455613231190704
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    Zs.B 107: Show issues Location:
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  8. Article ; Online: TMT Labeling Reveals the Effects of Exercises on the Proteomic Characteristics of the Subcutaneous Adipose Tissue of Growing High-Fat-Diet-Fed Rats.

    Song, Ge / Chen, Junying / Deng, Yimin / Sun, Lingyu / Yan, Yi

    ACS omega

    2023  Volume 8, Issue 26, Page(s) 23484–23500

    Abstract: Aim: ...

    Abstract Aim:
    Language English
    Publishing date 2023-06-21
    Publishing country United States
    Document type Journal Article
    ISSN 2470-1343
    ISSN (online) 2470-1343
    DOI 10.1021/acsomega.3c00627
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  9. Article ; Online: Polysaccharide-Based Supramolecular Hydrogel Coatings with Corrosion Barrier Zone for Protection of Patina Bronze.

    Zhang, Jiamei / Huang, Xia / Chen, Jiachang / Zhou, Sheng / Chen, Junying

    Polymers

    2023  Volume 15, Issue 16

    Abstract: Protective coatings for bronze relics should adhere to the basic principles of cultural relic preservation, such as not altering the color and appearance of the artifacts, and being moderately combined with the artifacts to resist erosion due to external ...

    Abstract Protective coatings for bronze relics should adhere to the basic principles of cultural relic preservation, such as not altering the color and appearance of the artifacts, and being moderately combined with the artifacts to resist erosion due to external environments (such as water and gas). This paper presents the development of a physically crosslinked supramolecular hydrogel produced from guanidinium-based chitosan (GC). The hydrogel exhibits the excellent adsorption protection of bronze, and the addition of clay enhances the water barrier properties of the chitosan film. The supramolecular interaction between sodium polyacrylate/GC/clay confers corrosion buffering capability to the hydrogel coating in corrosive environments, and the gel coating can be self-healing at room temperature for 24 h. The fabricated nanocomposites were comprehensively characterized using various methods (Fourier transform infrared spectroscopy, X-ray diffraction, thermogravimetric analysis, X-ray photoelectron spectroscopy, scanning electron microscopy, etc.). The electrochemical properties of coated specimens were evaluated, and the impedance spectrum revealed a large impedance arc indicating high charge resistance, which has a corrosion resistance effect.
    Language English
    Publishing date 2023-08-10
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2527146-5
    ISSN 2073-4360 ; 2073-4360
    ISSN (online) 2073-4360
    ISSN 2073-4360
    DOI 10.3390/polym15163357
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article ; Online: Erastin induces ferroptosis in cervical cancer cells via Nrf2/HO-1 signaling pathway.

    Wei, Xiaoning / Huang, Qiaoqiao / Huang, Jinbing / Yu, Li / Chen, Junying

    International journal of immunopathology and pharmacology

    2023  Volume 37, Page(s) 3946320231219348

    Abstract: Objective: Our research aims to assess the influence of erastin, a ferroptosis-inducing agent, on cervical cancer cells.: Introduction: Cervical cancer is a prevalent malignancy in females. Dysregulation of ferroptosis, a form of cell demise reliant ... ...

    Abstract Objective: Our research aims to assess the influence of erastin, a ferroptosis-inducing agent, on cervical cancer cells.
    Introduction: Cervical cancer is a prevalent malignancy in females. Dysregulation of ferroptosis, a form of cell demise reliant on iron, is implicated in several cancers.
    Methods: The effect of erastin on HeLa and SiHa was detected by transwell assay, scratch test, and colony formation assay, while cell apoptosis was detected using flow cytometry. Cellular reactive oxygen species (ROS) generation was detected using the dichloro-dihydro-fluorescein diacetate assay. Sequencing analysis identified differentially expressed genes (DEGs), and Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) Enrichment analyses were employed to identify the target gene. Subsequently, the utilization of small interfering RNA (siRNA) was employed to suppress the targeted gene expression in HeLa cells, thereby effectively mitigating the impact of erastin on various cellular processes including invasion, colony formation, migration, and ROS generation.
    Results: The findings indicate that erastin attenuates the viability of both HeLa cells (IC
    Conclusion: Our research demonstrates that erastin induces ferroptosis and the accumulation of ROS in cervical cancer cells by activating the Nrf2/HO-1 pathway, significantly reducing cell proliferation and motility. These findings propose a potential molecular mechanism of erastin-mediated cervical cancer development.
    MeSH term(s) Female ; Humans ; Ferroptosis ; NF-E2-Related Factor 2 ; Uterine Cervical Neoplasms/drug therapy ; HeLa Cells ; Heme Oxygenase-1/genetics ; Heme Oxygenase-1/metabolism ; Heme Oxygenase-1/pharmacology ; Reactive Oxygen Species/metabolism ; RNA, Small Interfering ; Signal Transduction
    Chemical Substances erastin ; NF-E2-Related Factor 2 ; Heme Oxygenase-1 (EC 1.14.14.18) ; Reactive Oxygen Species ; RNA, Small Interfering
    Language English
    Publishing date 2023-11-30
    Publishing country England
    Document type Journal Article
    ZDB-ID 645171-8
    ISSN 2058-7384 ; 0394-6320
    ISSN (online) 2058-7384
    ISSN 0394-6320
    DOI 10.1177/03946320231219348
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    Zs.A 2537: Show issues Location:
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