Search Results - Jing Luo

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  1. 1

    Ferroptosis by nanomaterials: targeting cancer stem cells and overcoming drug resistance by Xiaoman Wang, Jing Luo, Xuemei Zeng, Shuangqian Yan

    Published 2025-04-01

    Tumor ferroptosis, a regulated form of cell death driven by iron-dependent lipid peroxidation, has emerged as a promising therapeutic strategy for combating cancers, particularly in cases involving cancer stem cells (CSCs) and drug resistance. In recent years nanomaterial-based approaches have gaine...

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  2. 2

    Temperature Field Prediction of Glulam Timber Connections Under Fire Hazard: A DeepONet-Based Approach by Jing Luo, Guangxin Tian, Chen Xu, Shijie Zhang, Zhen Liu

    Published 2025-07-01

    This paper presents an integrated computational framework for predicting temperature fields in glulam beam–column connections under fire conditions, combining finite element modeling, automated parametric analysis, and deep learning techniques. A high-fidelity heat transfer finite element model was...

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  3. 3

    Muscone Protects Against Ferroptosis-Induced Injury in Models of Acute Ischemic Stroke by Modulating Snap25 Protein by Ruijia You, Bin Sun, Jing Luo, Guanhua Hu, Nan Shao, Wenwen Si

    Published 2025-06-01

    Background: Acute ischemic stroke (AIS) is one of the leading critical neurological conditions globally, resulting in significant adult mortality and disability. Previous studies have demonstrated a close relationship between AIS and the ferroptosis signaling pathway. Muscone, the...

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  4. 4

    Neural dynamics impairments in amyotrophic lateral sclerosis patients and their associations with clinical characteristics: An observational cohort study by Wei Zheng, Jing Luo, Yong Yang, Xia Guo, Fei Song, Feng Li, Fei Xiao

    Published 2025-09-01

    Background and purpose: Amyotrophic lateral sclerosis (ALS) is a fatal neurodegenerative disease of the central nervous system. It remains unclear whether pathological changes in ALS can lead to abnormalities in neural dynamics and how these abnormalities relate to key clinical characteristics of AL...

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  5. 5

    <i>SPHK1</i>-<i>S1p</i> Signaling Drives Fibrocyte-Mediated Pulmonary Fibrosis: Mechanistic Insights and Therapeutic Potential by Fei Lu, Gaoming Wang, Xiangzhe Yang, Jing Luo, Haitao Ma, Liangbin Pan, Yu Yao, Kai Xie

    Published 2025-06-01

    <b>Background:</b> Pulmonary fibrosis (PF) is a progressive interstitial lung disease characterized by chronic inflammation and excessive extracellular matrix deposition, with fibrocytes playing a pivotal role in fibrotic remodeling. This study aimed to identify upstream molecular mechan...

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  6. 6

    Efficacy, safety and the lymphocyte subsets changes of low‐dose IL‐2 in patients with systemic lupus erythematosus: A systematic review and meta‐analysis by Qin‐Yi Su, Jing Luo, Xin‐Miao Wang, Jing‐Kai Di, Yi‐Xin Cao, Sheng‐Xiao Zhang

    Published 2024-01-01

    Abstract Introduction Existing therapies of systemic lupus erythematosus (SLE) are efficacious only in certain patients. Developing new treatment methods is urgent. This meta‐analysis aimed to evaluate the efficacy and safety of low‐dose IL‐2 (LD‐IL‐2). Methods According to published data from PubMe...

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  7. 7

    Protozoan-based biodiversity-safeguarding benchmark for triclosan in freshwater ecosystems by Kexin Yu, Jing Tang, Yuting Zhao, Pan Zhou, Jing Luo, Benchao Jiang, Xinying Su, Duu-Jong Lee, Xuming Pan, Li Wang

    Published 2025-09-01

    The global usage of triclosan (TCS)-containing disinfectants posed toxicity threats to freshwater biodiversity; at the same time, the ecological risk assessments based on Species Sensitivity Distribution (SSD) models overestimated the Predicted No-Effect Concentration (PNEC) of the TCS due to neglec...

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  8. 8

    Stroke patients’ knowledge, attitudes, and practices regarding home-based exercise and psychological rehabilitation programs by Tianjiao Dai, Tianjiao Dai, Ying Zou, Hongbo Li, Wei Xu, Jing Luo, Lezheng Wang, Qiyue Sun, Lei Shi, Shaoxuan Ma, Ye Liu

    Published 2025-06-01

    BackgroundStroke rehabilitation encompasses crucial components essential for the recovery process. This study aimed to investigate the knowledge, attitudes, and practices (KAP) of stroke patients regarding home-based exercise and psychological rehabilitation programs aimed at enhancing their physica...

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  9. 9

    Assessment of suitable reference genes for qRT-PCR analysis in Adelphocoris suturalis by Jing LUO, Chao MA, Zhe LI, Bang-qin ZHU, Jiang ZHANG, Chao-liang LEI, Shuang-xia JIN, J. Joe Hull, Li-zhen CHEN

    Published 2018-12-01

    Quantitative reverse transcription polymerase chain reaction (qRT-PCR) is the most commonly-used tool for measurement of gene expression, but its accuracy and reliability depend on appropriate data normalization with the use of one or more stable reference genes. Adelphocoris suturalis is one of the...

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  10. 10

    Can Taichi reshape the brain? A brain morphometry study. by Gao-Xia Wei, Ting Xu, Feng-Mei Fan, Hao-Ming Dong, Li-Li Jiang, Hui-Jie Li, Zhi Yang, Jing Luo, Xi-Nian Zuo

    Published 2013-01-01

    Although research has provided abundant evidence for Taichi-induced improvements in psychological and physiological well-being, little is known about possible links to brain structure of Taichi practice. Using high-resolution MRI of 22 Tai Chi Chuan (TCC) practitioners and 18 controls matched for ag...

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  11. 11

    CircEPDR1 regulates proliferation and differentiation of goat skeletal muscle satellite cells through miR-345-3p/Akirin1 axis by Song Shi, Diansong Duan, Jing Luo, Zihao Zhao, Tao Ma, Dinghui Dai, Siyuan Zhan, Jiaxue Cao, Jiazhong Guo, Tao Zhong, Linjie Wang, Hongping Zhang, Li Li

    Published 2025-08-01

    Objective Circular RNAs (circRNAs) play pivotal roles in regulating the growth and development of mammalian skeletal muscle This study aims to provide new insights into the molecular regulatory network that underlies skeletal muscle development, presenting valuable targets to enhance and optimize li...

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  12. 12

    The Associations Between Gallstone Disease and Pan‐Cancer Incidence Risk Based on Over 13 Million Participants by Wenqian Yu, Jin Zhou, Jing Luo, Jing Xia, Shiyi Li, Linjun Xie, YaZhou He, Hongyu Li, Guoheng Jiang, Xin Chen, Xuan Bai, Min Mao, Xin Wang

    Published 2025-05-01

    ABSTRACT Background Increasing evidence connects gallstone disease (GSD) to all types of cancer incidence; however, the results were inconsistent. The present study aimed to evaluate whether and to what extent these associations exist comprehensively. Methods We systematically searched published lon...

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  13. 13

    Super-Resolution Ultrasound-Based Habitat Imaging: A Consensus Statement by Xia ShuJun, Zheng YuHang, Hua Qing, Wei MinYan, Wen Jing, Luo XiaoMao, Yan JiPing, Bai BaoYan, Liu Fang, Dong YiJie, Zhou JianQiao, behalf of The Chinese Artificial Intelligence Alliance for Thyroid on, Ultrasound Breast

    Published 2025-06-01

    Recent advancements in medical imaging have greatly enhanced our understanding of tissue structure and disease mechanisms. Habitat imaging, which segments imaging data into distinct spatial subregions or "habitats," offers valuable insights into the heterogeneous nature of tumors, challeng...

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  14. 14

    Case report of non-gene editing CD7 CAR T cell therapy in CD7+ Sézary syndrome: preclinical validation and first-in-human use by Haichan Xu, Lihua Sun, Zehua Wu, Vincent M. DeStefano, Masayuki Wada, Jennifer E. Chow, Hui Yi, Hui Yi, Guoling Wang, Guoling Wang, Jing Dai, Wei Zheng, Ting Wang, Ting Wang, Wenli Zhang, Chengxing Song, Jing Luo, Yu Ma, Benjamin Waner, Mengjie Dong, Haibo Chen, Baozhen Qin, Hongyu Zhang, Jamie Hsing-Ming Chang, Yupo Ma, Yupo Ma, Jia Feng

    Published 2025-08-01

    IntroductionSézary syndrome (SS) is a leukemic form of cutaneous T cell lymphoma (CTCL), distinguished from mycosis fungoides by the presence of cancerous lymphocytes in the blood and often bears very poor prognoses. SS treatment is palliative, and thus novel therapies are needed. The CD7 surface an...

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  15. 15

    The NANOGrav 15 yr Data Set: Search for Gravitational-wave Memory by Gabriella Agazie, Akash Anumarlapudi, Anne M. Archibald, Zaven Arzoumanian, Jeremy G. Baier, Paul T. Baker, Bence Bécsy, Laura Blecha, Adam Brazier, Paul R. Brook, Sarah Burke-Spolaor, Rand Burnette, J. Andrew Casey-Clyde, Maria Charisi, Shami Chatterjee, Tyler Cohen, James M. Cordes, Neil J. Cornish, Fronefield Crawford, H. Thankful Cromartie, Kathryn Crowter, Megan E. DeCesar, Paul B. Demorest, Heling Deng, Lankeswar Dey, Timothy Dolch, Elizabeth C. Ferrara, William Fiore, Emmanuel Fonseca, Gabriel E. Freedman, Emiko C. Gardiner, Nate Garver-Daniels, Peter A. Gentile, Kyle A. Gersbach, Joseph Glaser, Deborah C. Good, Kayhan Gültekin, Jeffrey S. Hazboun, Ross J. Jennings, Aaron D. Johnson, Megan L. Jones, David L. Kaplan, Luke Zoltan Kelley, Matthew Kerr, Joey S. Key, Nima Laal, Michael T. Lam, William G. Lamb, Bjorn Larsen, T. Joseph W. Lazio, Natalia Lewandowska, Tingting Liu, Duncan R. Lorimer, Jing Luo, Ryan S. Lynch, Chung-Pei Ma, Dustin R. Madison, Alexander McEwen, James W. McKee, Maura A. McLaughlin, Natasha McMann, Bradley W. Meyers, Patrick M. Meyers, Chiara M. F. Mingarelli, Andrea Mitridate, Priyamvada Natarajan, Cherry Ng, David J. Nice, Stella Koch Ocker, Ken D. Olum, Timothy T. Pennucci, Benetge B. P. Perera, Polina Petrov, Nihan S. Pol, Henri A. Radovan, Scott M. Ransom, Paul S. Ray, Jessie C. Runnoe, Alexander Saffer, Shashwat C. Sardesai, Ann Schmiedekamp, Carl Schmiedekamp, Kai Schmitz, Brent J. Shapiro-Albert, Xavier Siemens, Joseph Simon, Magdalena S. Siwek, Sophia V. Sosa Fiscella, Ingrid H. Stairs, Daniel R. Stinebring, Kevin Stovall, Jerry P. Sun, Abhimanyu Susobhanan, Joseph K. Swiggum, Jacob Taylor, Stephen R. Taylor, Jacob E. Turner, Caner Unal, Michele Vallisneri, Rutger van Haasteren, Sarah J. Vigeland, Haley M. Wahl, Caitlin A. Witt, David Wright, Olivia Young

    Published 2025-01-01

    We present the results of a search for nonlinear gravitational-wave (GW) memory in the NANOGrav 15 yr data set. We find no significant evidence for memory signals in the data set, with a maximum Bayes factor of 3.1 in favor of a model including memory. We therefore place upper limits on the strain o...

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