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Mo Q, Meng Y, Qin L, Shi C, Zhang HB, Yu X, Rong J, Hou PX, Liu C, Cheng HM, Li JC. Universal Sublimation Strategy to Stabilize Single-Metal Sites on Flexible Single-Wall Carbon-Nanotube Films with Strain-Enhanced Activities for Zinc-Air Batteries and Water Splitting. ACS Appl Mater Interfaces 2024. [PMID: 38514249 DOI: 10.1021/acsami.3c19236] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/23/2024]
Abstract
Single-metal-site catalysts have recently aroused extensive research in electrochemical energy fields such as zinc-air batteries and water splitting, but their preparation is still a huge challenge, especially in flexible catalyst films. Herein, we propose a sublimation strategy in which metal phthalocyanine molecules with defined isolated metal-N4 sites are gasified by sublimation and then deposited on flexible single-wall carbon nanotube (SWCNT) films by means of π-π coupling interactions. Specifically, iron phthalocyanine anchored on the SWCNT film prepared was directly used to boost the cathodic oxygen reduction reaction of the zinc-air battery, showing a high peak power density of 247 mW cm-2. Nickel phthalocyanine and cobalt phthalocyanine were, respectively, stabilized on SWCNT films as the anodic and cathodic electrocatalysts for water splitting, showing a low potential of 1.655 V at 10 mA cm-2. In situ Raman spectra and theoretical studies demonstrate that highly efficient activities originate from strain-induced metal phthalocyanine on SWCNTs. This work provides a universal preparation method for single-metal-site catalysts and innovative insights for electrocatalytic mechanisms.
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Affiliation(s)
- Qian Mo
- Faculty of Chemical Engineering, Yunnan Provincial Key Laboratory of Energy Saving in Phosphorus Chemical Engineering and New Phosphorus Materials, Kunming University of Science and Technology, Kunming 650500, China
| | - Yu Meng
- Shenyang National Laboratory for Materials Science, Institute of Metal Research, Chinese Academy of Sciences, Shenyang 110016, China
| | - Lei Qin
- Faculty of Materials Science and Engineering, Kunming University of Science and Technology, Kunming 650093, China
| | - Chao Shi
- Shenyang National Laboratory for Materials Science, Institute of Metal Research, Chinese Academy of Sciences, Shenyang 110016, China
| | - Hong-Bo Zhang
- Faculty of Chemical Engineering, Yunnan Provincial Key Laboratory of Energy Saving in Phosphorus Chemical Engineering and New Phosphorus Materials, Kunming University of Science and Technology, Kunming 650500, China
| | - Xiaohua Yu
- Faculty of Materials Science and Engineering, Kunming University of Science and Technology, Kunming 650093, China
| | - Ju Rong
- Faculty of Materials Science and Engineering, Kunming University of Science and Technology, Kunming 650093, China
| | - Peng-Xiang Hou
- Shenyang National Laboratory for Materials Science, Institute of Metal Research, Chinese Academy of Sciences, Shenyang 110016, China
| | - Chang Liu
- Shenyang National Laboratory for Materials Science, Institute of Metal Research, Chinese Academy of Sciences, Shenyang 110016, China
| | - Hui-Ming Cheng
- Shenyang National Laboratory for Materials Science, Institute of Metal Research, Chinese Academy of Sciences, Shenyang 110016, China
| | - Jin-Cheng Li
- Faculty of Chemical Engineering, Yunnan Provincial Key Laboratory of Energy Saving in Phosphorus Chemical Engineering and New Phosphorus Materials, Kunming University of Science and Technology, Kunming 650500, China
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Chen X, Meng Y, Wang L, Zhou W, Chen D, Xie H, Ren S. Highly robust reconstruction framework for three-dimensional optical imaging based on physical model constrained neural networks. Phys Med Biol 2024; 69:075020. [PMID: 38394682 DOI: 10.1088/1361-6560/ad2ca3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2023] [Accepted: 02/23/2024] [Indexed: 02/25/2024]
Abstract
Objective. The reconstruction of three-dimensional optical imaging that can quantitatively acquire the target distribution from surface measurements is a serious ill-posed problem. Traditional regularization-based reconstruction can solve such ill-posed problem to a certain extent, but its accuracy is highly dependent ona priorinformation, resulting in a less stable and adaptable method. Data-driven deep learning-based reconstruction avoids the errors of light propagation models and the reliance on experience and a prior by learning the mapping relationship between the surface light distribution and the target directly from the dataset. However, the acquisition of the training dataset and the training of the network itself are time consuming, and the high dependence of the network performance on the training dataset results in a low generalization ability. The objective of this work is to develop a highly robust reconstruction framework to solve the existing problems.Approach. This paper proposes a physical model constrained neural networks-based reconstruction framework. In the framework, the neural networks are to generate a target distribution from surface measurements, while the physical model is used to calculate the surface light distribution based on this target distribution. The mean square error between the calculated surface light distribution and the surface measurements is then used as a loss function to optimize the neural network. To further reduce the dependence ona prioriinformation, a movable region is randomly selected and then traverses the entire solution interval. We reconstruct the target distribution in this movable region and the results are used as the basis for its next movement.Main Results. The performance of the proposed framework is evaluated with a series of simulations andin vivoexperiment, including accuracy robustness of different target distributions, noise immunity, depth robustness, and spatial resolution. The results collectively demonstrate that the framework can reconstruct targets with a high accuracy, stability and versatility.Significance. The proposed framework has high accuracy and robustness, as well as good generalizability. Compared with traditional regularization-based reconstruction methods, it eliminates the need to manually delineate feasible regions and adjust regularization parameters. Compared with emerging deep learning assisted methods, it does not require any training dataset, thus saving a lot of time and resources and solving the problem of poor generalization and robustness of deep learning methods. Thus, the framework opens up a new perspective for the reconstruction of three-dimension optical imaging.
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Affiliation(s)
- Xueli Chen
- Center for Biomedical-photonics and Molecular Imaging, Advanced Diagnostic-Therapy Technology and Equipment Key Laboratory of Higher Education Institutions in Shaanxi Province, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi 710126, People's Republic of China
- Engineering Research Center of Molecular and Neuro Imaging, Ministry of Education & Xi'an Key Laboratory of Intelligent Sensing and Regulation of trans-Scale Life Information, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi 710126, People's Republic of China
- Innovation Center for Advanced Medical Imaging and Intelligent Medicine, Guangzhou Institute of Technology, Xidian University, Guangzhou, Guangdong 510555, People's Republic of China
| | - Yu Meng
- Center for Biomedical-photonics and Molecular Imaging, Advanced Diagnostic-Therapy Technology and Equipment Key Laboratory of Higher Education Institutions in Shaanxi Province, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi 710126, People's Republic of China
- Engineering Research Center of Molecular and Neuro Imaging, Ministry of Education & Xi'an Key Laboratory of Intelligent Sensing and Regulation of trans-Scale Life Information, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi 710126, People's Republic of China
| | - Lin Wang
- School of Computer Science and Engineering, Xi'an University of Technology, Xi'an, Shaanxi 710048, People's Republic of China
| | - Wangting Zhou
- Center for Biomedical-photonics and Molecular Imaging, Advanced Diagnostic-Therapy Technology and Equipment Key Laboratory of Higher Education Institutions in Shaanxi Province, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi 710126, People's Republic of China
- Engineering Research Center of Molecular and Neuro Imaging, Ministry of Education & Xi'an Key Laboratory of Intelligent Sensing and Regulation of trans-Scale Life Information, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi 710126, People's Republic of China
| | - Duofang Chen
- Center for Biomedical-photonics and Molecular Imaging, Advanced Diagnostic-Therapy Technology and Equipment Key Laboratory of Higher Education Institutions in Shaanxi Province, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi 710126, People's Republic of China
- Engineering Research Center of Molecular and Neuro Imaging, Ministry of Education & Xi'an Key Laboratory of Intelligent Sensing and Regulation of trans-Scale Life Information, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi 710126, People's Republic of China
| | - Hui Xie
- Center for Biomedical-photonics and Molecular Imaging, Advanced Diagnostic-Therapy Technology and Equipment Key Laboratory of Higher Education Institutions in Shaanxi Province, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi 710126, People's Republic of China
- Engineering Research Center of Molecular and Neuro Imaging, Ministry of Education & Xi'an Key Laboratory of Intelligent Sensing and Regulation of trans-Scale Life Information, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi 710126, People's Republic of China
| | - Shenghan Ren
- Center for Biomedical-photonics and Molecular Imaging, Advanced Diagnostic-Therapy Technology and Equipment Key Laboratory of Higher Education Institutions in Shaanxi Province, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi 710126, People's Republic of China
- Engineering Research Center of Molecular and Neuro Imaging, Ministry of Education & Xi'an Key Laboratory of Intelligent Sensing and Regulation of trans-Scale Life Information, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi 710126, People's Republic of China
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Zhang ST, Meng Y, Hou PX, Liu C, Wu F, Li JC. Multiscale nanoengineering fabrication of air electrode catalysts in rechargeable Zn-air batteries. J Colloid Interface Sci 2024; 664:1012-1020. [PMID: 38508029 DOI: 10.1016/j.jcis.2024.03.112] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/02/2024] [Revised: 03/10/2024] [Accepted: 03/16/2024] [Indexed: 03/22/2024]
Abstract
The development of cost-effective, high-activity and stable catalysts to accelerate the sluggish kinetics of cathodic oxygen reduction/evolution reactions (ORR/OER) plays a critical part in commercialization application of rechargeable Zn-air batteries (RZABs). Herein, a multiscale nanoengineering strategy is developed to simultaneously stabilize Co-doped Fe nanoparticles originated from metal-organic framework-derived approach and atomic Fe/Co sites derived from metal nanoparticle-atomized way on N-doped hierarchically tubular porous carbon substrate. Thereinto, metal nanoparticles and single atoms are respectively used to expedite the OER and ORR. Consequently, the final material is acted as an oxygen electrode catalyst, displaying 0.684 V of OER/ORR potential gap, 260 mW cm-2 of peak power density for liquid-state RZAB, 110 mW cm-2 of peak power density for solid-state RZAB, and 1000 charge-discharge cycles without decay, which confirms great potential for energy storage and conversion applications.
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Affiliation(s)
- Shu-Tai Zhang
- Faculty of Chemical Engineering, Yunnan Provincial Key Laboratory of Energy Saving in Phosphorus Chemical Engineering and New Phosphorus Materials, Kunming University of Science and Technology, Kunming 650500, China
| | - Yu Meng
- Shenyang National Laboratory for Materials Science, Institute of Metal Research, Chinese Academy of Sciences, Shenyang 110016, China
| | - Peng-Xiang Hou
- Shenyang National Laboratory for Materials Science, Institute of Metal Research, Chinese Academy of Sciences, Shenyang 110016, China
| | - Chang Liu
- Shenyang National Laboratory for Materials Science, Institute of Metal Research, Chinese Academy of Sciences, Shenyang 110016, China
| | - Feng Wu
- Faculty of Chemical Engineering, Yunnan Provincial Key Laboratory of Energy Saving in Phosphorus Chemical Engineering and New Phosphorus Materials, Kunming University of Science and Technology, Kunming 650500, China
| | - Jin-Cheng Li
- Faculty of Chemical Engineering, Yunnan Provincial Key Laboratory of Energy Saving in Phosphorus Chemical Engineering and New Phosphorus Materials, Kunming University of Science and Technology, Kunming 650500, China.
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Yu S, Liu W, Tao SJ, Li ZP, Wang YT, Zhong ZP, Patel RB, Meng Y, Yang YZ, Wang ZA, Guo NJ, Zeng XD, Chen Z, Xu L, Zhang N, Liu X, Yang M, Zhang WH, Zhou ZQ, Xu JS, Tang JS, Han YJ, Li CF, Guo GC. A von-Neumann-like photonic processor and its application in studying quantum signature of chaos. Light Sci Appl 2024; 13:74. [PMID: 38485915 PMCID: PMC10940704 DOI: 10.1038/s41377-024-01413-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/05/2023] [Revised: 02/06/2024] [Accepted: 02/17/2024] [Indexed: 03/18/2024]
Abstract
Photonic quantum computation plays an important role and offers unique advantages. Two decades after the milestone work of Knill-Laflamme-Milburn, various architectures of photonic processors have been proposed, and quantum advantage over classical computers has also been demonstrated. It is now the opportune time to apply this technology to real-world applications. However, at current technology level, this aim is restricted by either programmability in bulk optics or loss in integrated optics for the existing architectures of processors, for which the resource cost is also a problem. Here we present a von-Neumann-like architecture based on temporal-mode encoding and looped structure on table, which is capable of multimode-universal programmability, resource-efficiency, phase-stability and software-scalability. In order to illustrate these merits, we execute two different programs with varying resource requirements on the same processor, to investigate quantum signature of chaos from two aspects: the signature behaviors exhibited in phase space (13 modes), and the Fermi golden rule which has not been experimentally studied in quantitative way before (26 modes). The maximal program contains an optical interferometer network with 1694 freely-adjustable phases. Considering current state-of-the-art, our architecture stands as the most promising candidate for real-world applications.
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Affiliation(s)
- Shang Yu
- CAS Key Laboratory of Quantum Information, University of Science and Technology of China, Hefei, 230026, China
- CAS Center for Excellence in Quantum Information and Quantum Physics, University of Science and Technology of China, Hefei, 230026, China
- Hefei National Laboratory, University of Science and Technology of China, Hefei, 230088, China
- Research Center for Quantum Sensing, Zhejiang Lab, Hangzhou, 310000, China
- Quantum Optics and Laser Science, Blackett Laboratory, Imperial College London, Prince Consort Rd, London, SW7 2AZ, UK
| | - Wei Liu
- CAS Key Laboratory of Quantum Information, University of Science and Technology of China, Hefei, 230026, China
- CAS Center for Excellence in Quantum Information and Quantum Physics, University of Science and Technology of China, Hefei, 230026, China
- Hefei National Laboratory, University of Science and Technology of China, Hefei, 230088, China
| | - Si-Jing Tao
- CAS Key Laboratory of Quantum Information, University of Science and Technology of China, Hefei, 230026, China
- CAS Center for Excellence in Quantum Information and Quantum Physics, University of Science and Technology of China, Hefei, 230026, China
- Hefei National Laboratory, University of Science and Technology of China, Hefei, 230088, China
| | - Zhi-Peng Li
- CAS Key Laboratory of Quantum Information, University of Science and Technology of China, Hefei, 230026, China
- CAS Center for Excellence in Quantum Information and Quantum Physics, University of Science and Technology of China, Hefei, 230026, China
- Hefei National Laboratory, University of Science and Technology of China, Hefei, 230088, China
| | - Yi-Tao Wang
- CAS Key Laboratory of Quantum Information, University of Science and Technology of China, Hefei, 230026, China
- CAS Center for Excellence in Quantum Information and Quantum Physics, University of Science and Technology of China, Hefei, 230026, China
- Hefei National Laboratory, University of Science and Technology of China, Hefei, 230088, China
| | - Zhi-Peng Zhong
- Research Center for Quantum Sensing, Zhejiang Lab, Hangzhou, 310000, China
| | - Raj B Patel
- Quantum Optics and Laser Science, Blackett Laboratory, Imperial College London, Prince Consort Rd, London, SW7 2AZ, UK
- Clarendon Laboratory, Department of Physics, Oxford University, Parks Road OX1 3PU, Oxford, UK
| | - Yu Meng
- CAS Key Laboratory of Quantum Information, University of Science and Technology of China, Hefei, 230026, China
- CAS Center for Excellence in Quantum Information and Quantum Physics, University of Science and Technology of China, Hefei, 230026, China
- Hefei National Laboratory, University of Science and Technology of China, Hefei, 230088, China
| | - Yuan-Ze Yang
- CAS Key Laboratory of Quantum Information, University of Science and Technology of China, Hefei, 230026, China
- CAS Center for Excellence in Quantum Information and Quantum Physics, University of Science and Technology of China, Hefei, 230026, China
- Hefei National Laboratory, University of Science and Technology of China, Hefei, 230088, China
| | - Zhao-An Wang
- CAS Key Laboratory of Quantum Information, University of Science and Technology of China, Hefei, 230026, China
- CAS Center for Excellence in Quantum Information and Quantum Physics, University of Science and Technology of China, Hefei, 230026, China
- Hefei National Laboratory, University of Science and Technology of China, Hefei, 230088, China
| | - Nai-Jie Guo
- CAS Key Laboratory of Quantum Information, University of Science and Technology of China, Hefei, 230026, China
- CAS Center for Excellence in Quantum Information and Quantum Physics, University of Science and Technology of China, Hefei, 230026, China
- Hefei National Laboratory, University of Science and Technology of China, Hefei, 230088, China
| | - Xiao-Dong Zeng
- CAS Key Laboratory of Quantum Information, University of Science and Technology of China, Hefei, 230026, China
- CAS Center for Excellence in Quantum Information and Quantum Physics, University of Science and Technology of China, Hefei, 230026, China
- Hefei National Laboratory, University of Science and Technology of China, Hefei, 230088, China
| | - Zhe Chen
- CAS Key Laboratory of Quantum Information, University of Science and Technology of China, Hefei, 230026, China
- CAS Center for Excellence in Quantum Information and Quantum Physics, University of Science and Technology of China, Hefei, 230026, China
- Hefei National Laboratory, University of Science and Technology of China, Hefei, 230088, China
| | - Liang Xu
- Research Center for Quantum Sensing, Zhejiang Lab, Hangzhou, 310000, China
| | - Ning Zhang
- Research Center for Quantum Sensing, Zhejiang Lab, Hangzhou, 310000, China
| | - Xiao Liu
- CAS Key Laboratory of Quantum Information, University of Science and Technology of China, Hefei, 230026, China
- CAS Center for Excellence in Quantum Information and Quantum Physics, University of Science and Technology of China, Hefei, 230026, China
- Hefei National Laboratory, University of Science and Technology of China, Hefei, 230088, China
| | - Mu Yang
- CAS Key Laboratory of Quantum Information, University of Science and Technology of China, Hefei, 230026, China
- CAS Center for Excellence in Quantum Information and Quantum Physics, University of Science and Technology of China, Hefei, 230026, China
- Hefei National Laboratory, University of Science and Technology of China, Hefei, 230088, China
| | - Wen-Hao Zhang
- CAS Key Laboratory of Quantum Information, University of Science and Technology of China, Hefei, 230026, China
- CAS Center for Excellence in Quantum Information and Quantum Physics, University of Science and Technology of China, Hefei, 230026, China
- Hefei National Laboratory, University of Science and Technology of China, Hefei, 230088, China
| | - Zong-Quan Zhou
- CAS Key Laboratory of Quantum Information, University of Science and Technology of China, Hefei, 230026, China
- CAS Center for Excellence in Quantum Information and Quantum Physics, University of Science and Technology of China, Hefei, 230026, China
- Hefei National Laboratory, University of Science and Technology of China, Hefei, 230088, China
| | - Jin-Shi Xu
- CAS Key Laboratory of Quantum Information, University of Science and Technology of China, Hefei, 230026, China
- CAS Center for Excellence in Quantum Information and Quantum Physics, University of Science and Technology of China, Hefei, 230026, China
- Hefei National Laboratory, University of Science and Technology of China, Hefei, 230088, China
| | - Jian-Shun Tang
- CAS Key Laboratory of Quantum Information, University of Science and Technology of China, Hefei, 230026, China.
- CAS Center for Excellence in Quantum Information and Quantum Physics, University of Science and Technology of China, Hefei, 230026, China.
- Hefei National Laboratory, University of Science and Technology of China, Hefei, 230088, China.
| | - Yong-Jian Han
- CAS Key Laboratory of Quantum Information, University of Science and Technology of China, Hefei, 230026, China.
- CAS Center for Excellence in Quantum Information and Quantum Physics, University of Science and Technology of China, Hefei, 230026, China.
- Hefei National Laboratory, University of Science and Technology of China, Hefei, 230088, China.
| | - Chuan-Feng Li
- CAS Key Laboratory of Quantum Information, University of Science and Technology of China, Hefei, 230026, China.
- CAS Center for Excellence in Quantum Information and Quantum Physics, University of Science and Technology of China, Hefei, 230026, China.
- Hefei National Laboratory, University of Science and Technology of China, Hefei, 230088, China.
| | - Guang-Can Guo
- CAS Key Laboratory of Quantum Information, University of Science and Technology of China, Hefei, 230026, China
- CAS Center for Excellence in Quantum Information and Quantum Physics, University of Science and Technology of China, Hefei, 230026, China
- Hefei National Laboratory, University of Science and Technology of China, Hefei, 230088, China
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Guo Z, Meng Y, Zhou S, Li J, Li X, Feng R, Zou Y, Liao W, Wu W, Xu M, Zeng X, Zhao W, Zhong H. Atomic force microscopy correlates mechanical and electrical properties of HepG2 cells with curcumin concentration. J Pharm Biomed Anal 2024; 243:116107. [PMID: 38489959 DOI: 10.1016/j.jpba.2024.116107] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2023] [Revised: 03/06/2024] [Accepted: 03/12/2024] [Indexed: 03/17/2024]
Abstract
Hepatocellular carcinoma (HCC) is a highly prevalent cancer with a significant impact on human health. Curcumin, a natural compound, induces cytoskeletal changes in liver cancer cells and modifies the distribution of lipids, proteins, and polysaccharides on plasma membranes, affecting their mechanical and electrical properties. In this study, we used nanomechanical indentation techniques and Kelvin probe force microscopy (KPFM) based on atomic force microscopy (AFM) to investigate the changes in surface nanomechanical and electrical properties of nuclear and cytoplasmic regions of HepG2 cells in response to increasing curcumin concentrations. CCK-8 assays and flow cytometry results demonstrated time- and concentration-dependent inhibition of HepG2 cell proliferation by curcumin. Increasing curcumin concentration led to an initial increase and then decrease in the mechanical properties of nuclear and cytoplasmic regions of HepG2 cells, represented by the Young's modulus (E), as observed through nanoindentation. KPFM measurements indicated decreasing trends in both cell surface potential and height. Fluorescence microscopy results indicated a positive correlation between curcumin concentration and phosphatidylserine translocation from the inner to the outer membrane, which influenced the electrical properties of HepG2 cells. This study provides valuable insights into curcumin's mechanisms against cancer cells and aids nanoscale evaluation of therapeutic efficacy and drug screening.
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Affiliation(s)
- Zeling Guo
- Key Laboratory of Biomaterials and Biofabrication in Tissue Engineering of Jiangxi Province, Gannan Medical University, Ganzhou 341000, People's Republic of China; School of Medical Information Engineering, Gannan Medical University, Ganzhou 341000, People's Republic of China; Key Laboratory of Prevention and Treatment of Cardiovascular and Cerebrovascular Diseases, Ministry of Education, Gannan Medical University, Ganzhou 341000, People's Republic of China
| | - Yu Meng
- Key Laboratory of Biomaterials and Biofabrication in Tissue Engineering of Jiangxi Province, Gannan Medical University, Ganzhou 341000, People's Republic of China; School of Medical Information Engineering, Gannan Medical University, Ganzhou 341000, People's Republic of China; Key Laboratory of Prevention and Treatment of Cardiovascular and Cerebrovascular Diseases, Ministry of Education, Gannan Medical University, Ganzhou 341000, People's Republic of China
| | - Shang Zhou
- Key Laboratory of Biomaterials and Biofabrication in Tissue Engineering of Jiangxi Province, Gannan Medical University, Ganzhou 341000, People's Republic of China; School of Medical Information Engineering, Gannan Medical University, Ganzhou 341000, People's Republic of China; Key Laboratory of Prevention and Treatment of Cardiovascular and Cerebrovascular Diseases, Ministry of Education, Gannan Medical University, Ganzhou 341000, People's Republic of China
| | - Jiangting Li
- Key Laboratory of Biomaterials and Biofabrication in Tissue Engineering of Jiangxi Province, Gannan Medical University, Ganzhou 341000, People's Republic of China; School of Medical Information Engineering, Gannan Medical University, Ganzhou 341000, People's Republic of China; Key Laboratory of Prevention and Treatment of Cardiovascular and Cerebrovascular Diseases, Ministry of Education, Gannan Medical University, Ganzhou 341000, People's Republic of China
| | - Xinyu Li
- Key Laboratory of Biomaterials and Biofabrication in Tissue Engineering of Jiangxi Province, Gannan Medical University, Ganzhou 341000, People's Republic of China; School of Medical Information Engineering, Gannan Medical University, Ganzhou 341000, People's Republic of China; Key Laboratory of Prevention and Treatment of Cardiovascular and Cerebrovascular Diseases, Ministry of Education, Gannan Medical University, Ganzhou 341000, People's Republic of China
| | - Rongrong Feng
- Key Laboratory of Biomaterials and Biofabrication in Tissue Engineering of Jiangxi Province, Gannan Medical University, Ganzhou 341000, People's Republic of China; School of Medical Information Engineering, Gannan Medical University, Ganzhou 341000, People's Republic of China; Key Laboratory of Prevention and Treatment of Cardiovascular and Cerebrovascular Diseases, Ministry of Education, Gannan Medical University, Ganzhou 341000, People's Republic of China
| | - Yulan Zou
- Key Laboratory of Biomaterials and Biofabrication in Tissue Engineering of Jiangxi Province, Gannan Medical University, Ganzhou 341000, People's Republic of China; School of Medical Information Engineering, Gannan Medical University, Ganzhou 341000, People's Republic of China; Key Laboratory of Prevention and Treatment of Cardiovascular and Cerebrovascular Diseases, Ministry of Education, Gannan Medical University, Ganzhou 341000, People's Republic of China
| | - Wenchao Liao
- Key Laboratory of Biomaterials and Biofabrication in Tissue Engineering of Jiangxi Province, Gannan Medical University, Ganzhou 341000, People's Republic of China; School of Medical Information Engineering, Gannan Medical University, Ganzhou 341000, People's Republic of China; Key Laboratory of Prevention and Treatment of Cardiovascular and Cerebrovascular Diseases, Ministry of Education, Gannan Medical University, Ganzhou 341000, People's Republic of China
| | - Weiting Wu
- Key Laboratory of Biomaterials and Biofabrication in Tissue Engineering of Jiangxi Province, Gannan Medical University, Ganzhou 341000, People's Republic of China; School of Medical Information Engineering, Gannan Medical University, Ganzhou 341000, People's Republic of China
| | - Mingjing Xu
- Key Laboratory of Biomaterials and Biofabrication in Tissue Engineering of Jiangxi Province, Gannan Medical University, Ganzhou 341000, People's Republic of China; School of Medical Information Engineering, Gannan Medical University, Ganzhou 341000, People's Republic of China
| | - Xiangfu Zeng
- The First Affiliated Hospital of Gannan Medical University, Ganzhou 341000, People's Republic of China.
| | - Weidong Zhao
- Key Laboratory of Biomaterials and Biofabrication in Tissue Engineering of Jiangxi Province, Gannan Medical University, Ganzhou 341000, People's Republic of China; School of Medical Information Engineering, Gannan Medical University, Ganzhou 341000, People's Republic of China; Key Laboratory of Prevention and Treatment of Cardiovascular and Cerebrovascular Diseases, Ministry of Education, Gannan Medical University, Ganzhou 341000, People's Republic of China.
| | - Haijian Zhong
- Key Laboratory of Biomaterials and Biofabrication in Tissue Engineering of Jiangxi Province, Gannan Medical University, Ganzhou 341000, People's Republic of China; School of Medical Information Engineering, Gannan Medical University, Ganzhou 341000, People's Republic of China; Key Laboratory of Prevention and Treatment of Cardiovascular and Cerebrovascular Diseases, Ministry of Education, Gannan Medical University, Ganzhou 341000, People's Republic of China.
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Zhou Q, Meng Y, Li D, Yao L, Le J, Liu Y, Sun Y, Zeng F, Chen X, Deng G. Ferroptosis in cancer: From molecular mechanisms to therapeutic strategies. Signal Transduct Target Ther 2024; 9:55. [PMID: 38453898 PMCID: PMC10920854 DOI: 10.1038/s41392-024-01769-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2023] [Revised: 01/21/2024] [Accepted: 02/03/2024] [Indexed: 03/09/2024] Open
Abstract
Ferroptosis is a non-apoptotic form of regulated cell death characterized by the lethal accumulation of iron-dependent membrane-localized lipid peroxides. It acts as an innate tumor suppressor mechanism and participates in the biological processes of tumors. Intriguingly, mesenchymal and dedifferentiated cancer cells, which are usually resistant to apoptosis and traditional therapies, are exquisitely vulnerable to ferroptosis, further underscoring its potential as a treatment approach for cancers, especially for refractory cancers. However, the impact of ferroptosis on cancer extends beyond its direct cytotoxic effect on tumor cells. Ferroptosis induction not only inhibits cancer but also promotes cancer development due to its potential negative impact on anticancer immunity. Thus, a comprehensive understanding of the role of ferroptosis in cancer is crucial for the successful translation of ferroptosis therapy from the laboratory to clinical applications. In this review, we provide an overview of the recent advancements in understanding ferroptosis in cancer, covering molecular mechanisms, biological functions, regulatory pathways, and interactions with the tumor microenvironment. We also summarize the potential applications of ferroptosis induction in immunotherapy, radiotherapy, and systemic therapy, as well as ferroptosis inhibition for cancer treatment in various conditions. We finally discuss ferroptosis markers, the current challenges and future directions of ferroptosis in the treatment of cancer.
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Affiliation(s)
- Qian Zhou
- Department of Dermatology, Xiangya Hospital, Central South University, 87 Xiangya Road, Changsha, 410008, Hunan Province, China
- National Engineering Research Center of Personalized Diagnostic and Therapeutic Technology, 87 Xiangya Road, Changsha, 410008, Hunan Province, China
- Furong Laboratory, 87 Xiangya Road, Changsha, 410008, Hunan Province, China
- Hunan Key Laboratory of Skin Cancer and Psoriasis, Hunan Engineering Research Center of Skin Health and Disease, Xiangya Hospital, Central South University, 87 Xiangya Road, Changsha, 410008, Hunan Province, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, 87 Xiangya Road, Changsha, 410008, Hunan Province, China
| | - Yu Meng
- Department of Dermatology, Xiangya Hospital, Central South University, 87 Xiangya Road, Changsha, 410008, Hunan Province, China
- National Engineering Research Center of Personalized Diagnostic and Therapeutic Technology, 87 Xiangya Road, Changsha, 410008, Hunan Province, China
- Furong Laboratory, 87 Xiangya Road, Changsha, 410008, Hunan Province, China
- Hunan Key Laboratory of Skin Cancer and Psoriasis, Hunan Engineering Research Center of Skin Health and Disease, Xiangya Hospital, Central South University, 87 Xiangya Road, Changsha, 410008, Hunan Province, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, 87 Xiangya Road, Changsha, 410008, Hunan Province, China
| | - Daishi Li
- Department of Dermatology, Xiangya Hospital, Central South University, 87 Xiangya Road, Changsha, 410008, Hunan Province, China
- National Engineering Research Center of Personalized Diagnostic and Therapeutic Technology, 87 Xiangya Road, Changsha, 410008, Hunan Province, China
- Furong Laboratory, 87 Xiangya Road, Changsha, 410008, Hunan Province, China
- Hunan Key Laboratory of Skin Cancer and Psoriasis, Hunan Engineering Research Center of Skin Health and Disease, Xiangya Hospital, Central South University, 87 Xiangya Road, Changsha, 410008, Hunan Province, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, 87 Xiangya Road, Changsha, 410008, Hunan Province, China
| | - Lei Yao
- Department of General Surgery, Xiangya Hospital, Central South University, 87 Xiangya Road, Changsha, 410008, Hunan Province, China
| | - Jiayuan Le
- Department of Dermatology, Xiangya Hospital, Central South University, 87 Xiangya Road, Changsha, 410008, Hunan Province, China
- National Engineering Research Center of Personalized Diagnostic and Therapeutic Technology, 87 Xiangya Road, Changsha, 410008, Hunan Province, China
- Furong Laboratory, 87 Xiangya Road, Changsha, 410008, Hunan Province, China
- Hunan Key Laboratory of Skin Cancer and Psoriasis, Hunan Engineering Research Center of Skin Health and Disease, Xiangya Hospital, Central South University, 87 Xiangya Road, Changsha, 410008, Hunan Province, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, 87 Xiangya Road, Changsha, 410008, Hunan Province, China
| | - Yihuang Liu
- Department of Dermatology, Xiangya Hospital, Central South University, 87 Xiangya Road, Changsha, 410008, Hunan Province, China
- National Engineering Research Center of Personalized Diagnostic and Therapeutic Technology, 87 Xiangya Road, Changsha, 410008, Hunan Province, China
- Furong Laboratory, 87 Xiangya Road, Changsha, 410008, Hunan Province, China
- Hunan Key Laboratory of Skin Cancer and Psoriasis, Hunan Engineering Research Center of Skin Health and Disease, Xiangya Hospital, Central South University, 87 Xiangya Road, Changsha, 410008, Hunan Province, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, 87 Xiangya Road, Changsha, 410008, Hunan Province, China
| | - Yuming Sun
- Department of Plastic and Cosmetic Surgery, Xiangya Hospital, Central South University, 87 Xiangya Road, Changsha, 410008, Hunan Province, China
| | - Furong Zeng
- Department of Oncology, Xiangya Hospital, Central South University, 87 Xiangya Road, Changsha, 410008, Hunan Province, China.
| | - Xiang Chen
- Department of Dermatology, Xiangya Hospital, Central South University, 87 Xiangya Road, Changsha, 410008, Hunan Province, China.
- National Engineering Research Center of Personalized Diagnostic and Therapeutic Technology, 87 Xiangya Road, Changsha, 410008, Hunan Province, China.
- Furong Laboratory, 87 Xiangya Road, Changsha, 410008, Hunan Province, China.
- Hunan Key Laboratory of Skin Cancer and Psoriasis, Hunan Engineering Research Center of Skin Health and Disease, Xiangya Hospital, Central South University, 87 Xiangya Road, Changsha, 410008, Hunan Province, China.
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, 87 Xiangya Road, Changsha, 410008, Hunan Province, China.
| | - Guangtong Deng
- Department of Dermatology, Xiangya Hospital, Central South University, 87 Xiangya Road, Changsha, 410008, Hunan Province, China.
- National Engineering Research Center of Personalized Diagnostic and Therapeutic Technology, 87 Xiangya Road, Changsha, 410008, Hunan Province, China.
- Furong Laboratory, 87 Xiangya Road, Changsha, 410008, Hunan Province, China.
- Hunan Key Laboratory of Skin Cancer and Psoriasis, Hunan Engineering Research Center of Skin Health and Disease, Xiangya Hospital, Central South University, 87 Xiangya Road, Changsha, 410008, Hunan Province, China.
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, 87 Xiangya Road, Changsha, 410008, Hunan Province, China.
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7
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Tan M, Mao J, Zheng J, Meng Y, Li J, Hao J, Shen H. Mammalian STE20-like kinase 1 inhibits synoviocytes activation in rheumatoid arthritis through mitochondrial dysfunction mediated by SIRT3/mTOR axis. Inflamm Res 2024; 73:415-432. [PMID: 38265688 DOI: 10.1007/s00011-023-01846-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2023] [Revised: 12/12/2023] [Accepted: 12/19/2023] [Indexed: 01/25/2024] Open
Abstract
BACKGROUND Mammalian STE20-like kinase 1 (MST1) is involved in the occurrence of cancer and autoimmune diseases by regulating cell proliferation, differentiation, apoptosis and other functions. However, its role and downstream targets in rheumatoid arthritis (RA) remain unclear. METHODS The model of RA fibroblast-like synoviocytes (RA-FLSs) overexpressing MST1 was constructed by lentiviral transfection in vitro and analyzed the effects of MST1 on apoptosis, migration, invasion, and inflammation of RA-FLSs. The effect of MST1 on joint synovial membrane inflammation and bone destruction was observed in vivo by establishing a rat model of arthritis with complete Freund's adjuvant. RESULTS MST1 is down-regulated in RA-FLSs, and up-regulation of MST1 inhibits the survival, migration, invasion and inflammation of RA-FLSs. Mechanistically, MST1 inhibits SIRT3/mTOR-signaling pathway, inducing decreased mitochondrial autophagy and increased mitochondrial fission, resulting in mitochondrial morphological abnormalities and dysfunction, and ultimately increased apoptosis. We have observed that activation of MST1 alleviates synovial inflammation and bone erosion in vivo. CONCLUSIONS MST1 reduces the survival, migration, invasion and inflammation of FLSs by inhibiting the SIRT3/mTOR axis to reduce mitochondrial autophagy and promote mitochondrial division, thereby achieving the potential role of relieving rheumatoid arthritis.
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Affiliation(s)
- Min Tan
- Department of Rheumatology, Lanzhou University Second Hospital, No. 82, Cui Ying Men Street, Lanzhou City, 730030, Gansu Province, People's Republic of China
- The Second Clinical Medical College, Lanzhou University, Lanzhou, People's Republic of China
| | - Jing Mao
- Department of Rheumatology, Lanzhou University Second Hospital, No. 82, Cui Ying Men Street, Lanzhou City, 730030, Gansu Province, People's Republic of China
- The Second Clinical Medical College, Lanzhou University, Lanzhou, People's Republic of China
| | - Jianxiong Zheng
- Department of Rheumatology, Lanzhou University Second Hospital, No. 82, Cui Ying Men Street, Lanzhou City, 730030, Gansu Province, People's Republic of China
- The Second Clinical Medical College, Lanzhou University, Lanzhou, People's Republic of China
| | - Yu Meng
- Department of Pain, Lanzhou University Second Hospital, Lanzhou, People's Republic of China
- The Second Clinical Medical College, Lanzhou University, Lanzhou, People's Republic of China
| | - Jun Li
- Department of Rheumatology, Lanzhou University Second Hospital, No. 82, Cui Ying Men Street, Lanzhou City, 730030, Gansu Province, People's Republic of China
- The Second Clinical Medical College, Lanzhou University, Lanzhou, People's Republic of China
| | - Jiayao Hao
- Department of Rheumatology, Lanzhou University Second Hospital, No. 82, Cui Ying Men Street, Lanzhou City, 730030, Gansu Province, People's Republic of China
- The Second Clinical Medical College, Lanzhou University, Lanzhou, People's Republic of China
| | - Haili Shen
- Department of Rheumatology, Lanzhou University Second Hospital, No. 82, Cui Ying Men Street, Lanzhou City, 730030, Gansu Province, People's Republic of China.
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Cui Z, Li Y, Jing X, Luan X, Liu N, Liu J, Meng Y, Xu J, Valentine DL. Cycloalkane degradation by an uncultivated novel genus of Gammaproteobacteria derived from China's marginal seas. J Hazard Mater 2024; 469:133904. [PMID: 38422739 DOI: 10.1016/j.jhazmat.2024.133904] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/05/2023] [Revised: 01/30/2024] [Accepted: 02/25/2024] [Indexed: 03/02/2024]
Abstract
The consumption of cycloalkanes is prevalent in low-temperature marine environments, likely influenced by psychrophilic microorganisms. Despite their significance, the primary active species responsible for marine cycloalkane degradation remain largely unidentified due to cultivation challenges. In this study, we provide compelling evidence indicating that the uncultured genus C1-B045 of Gammaproteobacteria is a pivotal participant in cycloalkane decomposition within China's marginal seas. Notably, the relative abundance of C1-B045 surged from 15.9% in the methylcyclohexane (MCH)-consuming starter culture to as high as 97.5% in MCH-utilizing extinction cultures following successive dilution-to-extinction and incubation cycles. We used stable isotope probing, Raman-activated gravity-driven encapsulation, and 16 S rRNA gene sequencing to link cycloalkane-metabolizing phenotype to genotype at the single-cell level. By annotating key enzymes (e.g., alkane monooxygenase, cyclohexanone monooxygenase, and 6-hexanolactone hydrolase) involved in MCH metabolism within C1-B045's representative metagenome-assembled genome, we developed a putative MCH degradation pathway.
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Affiliation(s)
- Zhisong Cui
- Marine Bioresource and Environment Research Center, Key Laboratory of Marine Eco-Environmental Science and Technology, First Institute of Oceanography, Ministry of Natural Resources of China, Qingdao 266061, People's Republic of China.
| | - Yingchao Li
- Marine Bioresource and Environment Research Center, Key Laboratory of Marine Eco-Environmental Science and Technology, First Institute of Oceanography, Ministry of Natural Resources of China, Qingdao 266061, People's Republic of China
| | - Xiaoyan Jing
- Single-Cell Center, CAS Key Laboratory of Biofuels, Shandong Key Laboratory of Energy Genetics and Shandong Energy Institute, Qingdao Institute of BioEnergy and Bioprocess Technology, Chinese Academy of Sciences, Qingdao 266101, People's Republic of China
| | - Xiao Luan
- State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research, Beijing 100048, People's Republic of China
| | - Na Liu
- Department of Earth Science and Marine Science Institute, University of California, Santa Barbara, CA 93106, USA
| | - Jinyan Liu
- Marine Bioresource and Environment Research Center, Key Laboratory of Marine Eco-Environmental Science and Technology, First Institute of Oceanography, Ministry of Natural Resources of China, Qingdao 266061, People's Republic of China
| | - Yu Meng
- Single-Cell Center, CAS Key Laboratory of Biofuels, Shandong Key Laboratory of Energy Genetics and Shandong Energy Institute, Qingdao Institute of BioEnergy and Bioprocess Technology, Chinese Academy of Sciences, Qingdao 266101, People's Republic of China
| | - Jian Xu
- Single-Cell Center, CAS Key Laboratory of Biofuels, Shandong Key Laboratory of Energy Genetics and Shandong Energy Institute, Qingdao Institute of BioEnergy and Bioprocess Technology, Chinese Academy of Sciences, Qingdao 266101, People's Republic of China
| | - David L Valentine
- Department of Earth Science and Marine Science Institute, University of California, Santa Barbara, CA 93106, USA.
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9
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Wang J, Meng Y, Zhang R, Yan H, Xu G, Zhu Y, Xie Z, Jiang S. Coagulase-negative staphylococci are the main causes of bacterial meningitis in duck. Poult Sci 2024; 103:103592. [PMID: 38447309 DOI: 10.1016/j.psj.2024.103592] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2024] [Revised: 02/17/2024] [Accepted: 02/22/2024] [Indexed: 03/08/2024] Open
Abstract
Since September 2018, serious meningitis has been found on some breeding-duck farms in Shandong Province, China. A large number of ducks exhibit severe neurological symptoms. The ducks were randomly selected for laboratory testing. Duck brain samples were collected using standard sterile techniques, and the staphylococci isolates were detected in 404 (70.14%) out of 576 brain samples. A total of 525 coagulase-negative staphylococci (CoNS) strains were isolated, including 6 species: Staphylococcus sciuri (S. sciuri) (67.24%, 353/525), Staphylococcus epidermidis (S. epidermidis) (9.71%, 51/525), Staphylococcus saprophyticus (S. saprophyticus) (8.38%, 44/525), Staphylococcus lentus (S. lentus) (7.62%, 40/525), Staphylococcus haemolyticus (S. haemolyticus) (2.48%, 13/525), and Staphylococcus xylosus (S. xylosus) (4.57%, 24/525). Mixed strain infections were detected in 121 (29.95%) infected presentations. The antimicrobial susceptibility testing indicated that 40.38% of the isolates exhibited multi-drug resistance, and 53.90% of the strains were methicillin-resistant strains by amplification of the methicillin resistance gene (mecA) gene. Through experimental reproduction of the disease, we determined that the CoNS strains were the leading pathogens causing bacterial meningitis in ducks. Although these CoNS strains does not directly cause the death of sick ducks, they still cause large economic losses due to the retarded growth and development of the sick ducks, lower feed returns, and lower grades of processed duck products. The results of this study will contribute to our understanding of the epidemiology and pathogenesis of CoNS and be helpful in the prevention and treatment of the infection.
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Affiliation(s)
- Jingyu Wang
- Department of Preventive Veterinary Medicine, College of Veterinary Medicine, Shandong Agricultural University, Tai'an 271018, China; Shandong Provincial Key Laboratory of Animal Biotechnology and Disease Control and Prevention, Tai'an 271018, China; Shandong Provincial Engineering Technology Research Center of Animal Disease Control and Prevention, Tai'an 271018, China
| | - Yu Meng
- Department of Preventive Veterinary Medicine, College of Veterinary Medicine, Shandong Agricultural University, Tai'an 271018, China; Shandong Provincial Key Laboratory of Animal Biotechnology and Disease Control and Prevention, Tai'an 271018, China; Shandong Provincial Engineering Technology Research Center of Animal Disease Control and Prevention, Tai'an 271018, China
| | - Ruihua Zhang
- Department of Preventive Veterinary Medicine, College of Veterinary Medicine, Shandong Agricultural University, Tai'an 271018, China; Shandong Provincial Key Laboratory of Animal Biotechnology and Disease Control and Prevention, Tai'an 271018, China; Shandong Provincial Engineering Technology Research Center of Animal Disease Control and Prevention, Tai'an 271018, China
| | - Hui Yan
- Department of Preventive Veterinary Medicine, College of Veterinary Medicine, Shandong Agricultural University, Tai'an 271018, China; Shandong Provincial Key Laboratory of Animal Biotechnology and Disease Control and Prevention, Tai'an 271018, China; Shandong Provincial Engineering Technology Research Center of Animal Disease Control and Prevention, Tai'an 271018, China
| | - Guige Xu
- Department of Preventive Veterinary Medicine, College of Veterinary Medicine, Shandong Agricultural University, Tai'an 271018, China; Shandong Provincial Key Laboratory of Animal Biotechnology and Disease Control and Prevention, Tai'an 271018, China; Shandong Provincial Engineering Technology Research Center of Animal Disease Control and Prevention, Tai'an 271018, China
| | - Yanli Zhu
- Department of Preventive Veterinary Medicine, College of Veterinary Medicine, Shandong Agricultural University, Tai'an 271018, China; Shandong Provincial Key Laboratory of Animal Biotechnology and Disease Control and Prevention, Tai'an 271018, China; Shandong Provincial Engineering Technology Research Center of Animal Disease Control and Prevention, Tai'an 271018, China
| | - Zhijing Xie
- Department of Preventive Veterinary Medicine, College of Veterinary Medicine, Shandong Agricultural University, Tai'an 271018, China; Shandong Provincial Key Laboratory of Animal Biotechnology and Disease Control and Prevention, Tai'an 271018, China; Shandong Provincial Engineering Technology Research Center of Animal Disease Control and Prevention, Tai'an 271018, China
| | - Shijin Jiang
- Department of Preventive Veterinary Medicine, College of Veterinary Medicine, Shandong Agricultural University, Tai'an 271018, China; Shandong Provincial Key Laboratory of Animal Biotechnology and Disease Control and Prevention, Tai'an 271018, China; Shandong Provincial Engineering Technology Research Center of Animal Disease Control and Prevention, Tai'an 271018, China.
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10
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Yu JJ, Pei HS, Meng Y. Large isolated fibrous tumors in the upper esophagus: A case report. World J Gastrointest Oncol 2024; 16:543-549. [PMID: 38425389 PMCID: PMC10900160 DOI: 10.4251/wjgo.v16.i2.543] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/24/2023] [Revised: 12/13/2023] [Accepted: 01/11/2024] [Indexed: 02/02/2024] Open
Abstract
BACKGROUND Solitary fibrous tumors (SFT) are rare spindle cell tumors that are usually benign. A total of 10 cases of SFTs in the upper esophagus have ever been reported. Here, we report the anesthetic management of a patient with a large isolated fibrous tumor of the upper esophagus compressing the tracheal membrane. We also provide a literature review of the current research. CASE SUMMARY We report the case of a 49 year old male with "cough aggravation and wheezing after exercise", who underwent esophagectomy for a large isolated fibrous tumor compressing the tracheal membrane in the upper esophagus. We advise the use of a single-lumen tube with a blocker in patients with difficult airways to reduce the incidence of airway injury and fibrinoscopy at all stages of the perioperative period to guide airway management. This case study is the first report of the anesthetic management of a large, isolated fibrous tumor compressing the tracheal membrane in the upper esophagus. CONCLUSION This rare case emphasizes the importance of perioperative management of anesthesia in patients with large isolated fibrous tumors of the upper esophagus that compress the tracheal membrane. The use of blocker reduce the incidence of airway injury and fibrinoscopy at the perioperative period to guide airway management.
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Affiliation(s)
- Jia-Jia Yu
- Department of Anesthesiology, The Fourth Hospital of Hebei Medical University, Shijiazhuang 050000, Hebei Province, China
| | - Huan-Shuang Pei
- Department of Anesthesiology, The Fourth Hospital of Hebei Medical University, Shijiazhuang 050000, Hebei Province, China
| | - Yu Meng
- Department of Anesthesiology, The Fourth Hospital of Hebei Medical University, Shijiazhuang 050000, Hebei Province, China
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11
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Lyu CC, Ji XY, Che HY, Meng Y, Wu HY, Zhang JB, Zhang YH, Yuan B. CGA alleviates LPS-induced inflammation and milk fat reduction in BMECs through the NF-κB signaling pathway. Heliyon 2024; 10:e25004. [PMID: 38317876 PMCID: PMC10838784 DOI: 10.1016/j.heliyon.2024.e25004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2023] [Revised: 01/06/2024] [Accepted: 01/18/2024] [Indexed: 02/07/2024] Open
Abstract
Mastitis is an easy clinical disease in dairy cows, which seriously affects the milk yield and quality of dairy cows. Chlorogenic acid (CGA), a polyphenolic substance, is abundant in Eucommia ulmoides leaves and has anti-inflammatory and anti-oxidative stress effects. Here, we explore whether CGA attenuated lipopolysaccharide (LPS)-induced inflammation and decreased milk fat in bovine mammary epithelial cells (BMECs). 10 μg/mL LPS was used to induce mastitis in BMECs. QRT-PCR, Western blotting, oil red O staining, and triglyceride (TG) assay were used to examine the effects of CGA on BMECs, including inflammatory response, oxidative stress response, and milk fat synthesis. The results showed that CGA repaired LPS-induced inflammation in BMECs. The expression of IL-6, IL-8, TNF-α, IL-1β, and iNOS was decreased, and the expression levels of CHOP, XCT, NRF2, and HO-1 were increased, which reduced the oxidative stress level of cells and alleviated the reduction of milk fat synthesis. In addition, the regulation of P65 phosphorylation by CGA suggests that CGA may exert its anti-inflammatory and anti-oxidative effects through the NF-κB signaling pathway. Our study showed that CGA attenuated LPS-induced inflammation and oxidative stress, and restored the decrease in milk fat content in BMECs by regulating the NF-κB signaling pathway.
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Affiliation(s)
| | | | - Hao-Yu Che
- College of Animal Science, College of Animal Sciences, Jilin Provincial Key Laboratory of Animal Model, Jilin University, Changchun, Jilin, PR China
| | - Yu Meng
- College of Animal Science, College of Animal Sciences, Jilin Provincial Key Laboratory of Animal Model, Jilin University, Changchun, Jilin, PR China
| | - Hong-Yu Wu
- College of Animal Science, College of Animal Sciences, Jilin Provincial Key Laboratory of Animal Model, Jilin University, Changchun, Jilin, PR China
| | - Jia-Bao Zhang
- College of Animal Science, College of Animal Sciences, Jilin Provincial Key Laboratory of Animal Model, Jilin University, Changchun, Jilin, PR China
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12
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Guan X, Xu Y, Meng Y, Qiu B, Yan D. Emergy benefit and radiation effect of multi-dimensional service function of vegetation ecosystem. Sci Total Environ 2024; 911:168493. [PMID: 37972779 DOI: 10.1016/j.scitotenv.2023.168493] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/22/2023] [Revised: 10/28/2023] [Accepted: 11/09/2023] [Indexed: 11/19/2023]
Abstract
Vegetation, as a multi-type and multi-functional green energy, plays an important role in regional carbon emission reduction and carbon neutrality. This study carried out the concept of green and sustainable development in depth and constructed an emergy quantification methodology system for the multidimensional service functions of vegetation ecosystems consisting of forests and grasslands based on the theory of emergy analysis and multidisciplinary integration methods. Using the theory of spatial correlation and breakpoints, we delineated the major ecological zones and investigated the radiation effects of typical regulating functions. Taking Luoyang, China, as an example, the results showed that the annual sequence of vegetation ecosystem service function (VES) emergy in Luoyang City showed a decreasing and then increasing trend with 2015 as the cut-off point. Early-stage Forest exploitation had profound effects, while increasing cultural benefits in later stages demonstrated national emphasis on forest research and conservation. The forest's high-quality ecological zone in Luoyang City could be found in the three southern counties of Luoning (LN), Luanchuan (LC), and Song (S). The radiation effect encompassed the entire city, resulting in an obvious impact with a total radiation of approximately 4.10E+20 sej. The high-quality ecological zone of the grassland did not appear until 2020 and is located in Yiyang (YY) county in central Luoyang. It benefited only the surrounding counties and had a total radiation of 1.32E+18sej. However, the development trend is optimistic. The spatial pattern of vegetation should be suitable for natural conditions, and the development strategy of localization as the driving force of the whole should be realized through the establishment of high-quality ecological zones, so as to promote harmonious coexistence between human and nature through green development.
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Affiliation(s)
- Xinjian Guan
- School of Water Conservancy and Transportation, Zhengzhou University, Zhengzhou 450001, China; Yellow River Laboratory, Zhengzhou University, Zhengzhou, Henan 450001, China.
| | - Yingjun Xu
- School of Water Conservancy and Transportation, Zhengzhou University, Zhengzhou 450001, China; Yellow River Laboratory, Zhengzhou University, Zhengzhou, Henan 450001, China
| | - Yu Meng
- School of Water Conservancy and Transportation, Zhengzhou University, Zhengzhou 450001, China; Yellow River Laboratory, Zhengzhou University, Zhengzhou, Henan 450001, China.
| | - Bing Qiu
- School of Water Conservancy and Transportation, Zhengzhou University, Zhengzhou 450001, China; Yellow River Laboratory, Zhengzhou University, Zhengzhou, Henan 450001, China
| | - Denghua Yan
- School of Water Conservancy and Transportation, Zhengzhou University, Zhengzhou 450001, China; Yellow River Laboratory, Zhengzhou University, Zhengzhou, Henan 450001, China
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13
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Sun Y, Zhao J, Meng Y, Luo X, Jiang C, Deng G, Lei S. The prevalence, complications, and risk factors for infantile hemangioma: a systematic review and meta-analysis. Int J Dermatol 2024. [PMID: 38329175 DOI: 10.1111/ijd.17062] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/14/2023] [Revised: 01/09/2024] [Accepted: 01/17/2024] [Indexed: 02/09/2024]
Abstract
The epidemiological landscape of infantile hemangioma (IH) has been extensively explored through diverse data sources; however, a scarcity of systematically pooled and quantified evidence from comprehensive global studies persists. In this meta-analysis, we systematically review available literature to elucidate the prevalence, distribution of lesions, complications, and risk factors associated with IH. A meticulous search encompassing the Cochrane Library, PubMed, Embase, and Web of Science identified 3206 records, of which 55 studies met the inclusion criteria. We found that the overall prevalence of IH is 2.8% [95% confidence interval (CI): 1.5-4.4%] (31,274,396 infants), and IH was located more frequently in the head and neck with a prevalence of 47.4% (95% CI: 39.5-55.4%). The overall prevalence of complications of IH is 24.3% (95% CI: 18.6-30.5%), ulceration is 16.0% (95% CI: 10.4-21.2%), bleeding is 5.6% (95% CI: 3.3-8.5%), visual impairment is 5.6% (95% CI: 3.0-8.9%), infection is 2.8% (95% CI: 1.5-4.8%), subglottic obstruction is 1.5% (95% CI: 0.5-3.0%), respectively. Through 27 studies, we have evaluated 35 factors encompassing perinatal factors, socioeconomic factors, maternal complications, drug factors, and antepartum procedures, and identified 18 risk factors that increase the prevalence of IH. These findings can greatly assist clinicians and family members in effectively evaluating the risk of IH, and determining whether pregnant women should undergo intensified monitoring or preventive measures.
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Affiliation(s)
- Yuming Sun
- Department of Plastic and Cosmetic Surgery, Xiangya Hospital, Central South University, Changsha, China
| | - Jinhong Zhao
- School of Health Policy and Management, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - Yu Meng
- Department of Dermatology, Xiangya Hospital, Central South University, Changsha, China
- National Engineering Research Center of Personalized Diagnostic and Therapeutic Technology, Xiangya Hospital, Central South University, Changsha, China
- Furong Laboratory, Xiangya Hospital, Central South University, Changsha, China
- Hunan Key Laboratory of Skin Cancer and Psoriasis, Hunan Engineering Research Center of Skin Health and Disease, Xiangya Hospital, Central South University, Changsha, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Changsha, China
| | - Xiangyue Luo
- Department of Plastic and Cosmetic Surgery, Xiangya Hospital, Central South University, Changsha, China
| | - Chufeng Jiang
- Department of Plastic and Cosmetic Surgery, Xiangya Hospital, Central South University, Changsha, China
| | - Guangtong Deng
- Department of Dermatology, Xiangya Hospital, Central South University, Changsha, China
- National Engineering Research Center of Personalized Diagnostic and Therapeutic Technology, Xiangya Hospital, Central South University, Changsha, China
- Furong Laboratory, Xiangya Hospital, Central South University, Changsha, China
- Hunan Key Laboratory of Skin Cancer and Psoriasis, Hunan Engineering Research Center of Skin Health and Disease, Xiangya Hospital, Central South University, Changsha, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Changsha, China
| | - Shaorong Lei
- Department of Plastic and Cosmetic Surgery, Xiangya Hospital, Central South University, Changsha, China
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Guan X, Xu Y, Meng Y, Xu W, Yan D. Quantifying multi-dimensional services of water ecosystems and breakpoint-based spatial radiation of typical regulating services considering the hierarchical clustering-based classification. J Environ Manage 2024; 351:119852. [PMID: 38159309 DOI: 10.1016/j.jenvman.2023.119852] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/03/2023] [Revised: 12/05/2023] [Accepted: 12/11/2023] [Indexed: 01/03/2024]
Abstract
This study proposes a set of water ecosystem services (WES) research system, including classification, benefit quantification and spatial radiation effect, with the goal of promoting harmonious coexistence between humans and nature, as well as providing a theoretical foundation for optimizing water resources management. Hierarchical cluster analysis was applied to categorize WES taking in to account the four nature constraints of product nature, energy flow relationships, circularity, and human social utility. A multi-dimensional benefit quantification methodology system for WES was constructed by combining the emergy theory with multidisciplinary methods of ecology, economics, and sociology. Based on the theories of spatial autocorrelation and breaking point, we investigated the spatial radiation effects of typical services in the cyclic regulation category. The proposed methodology has been applied to Luoyang, China. The results show that the Resource Provisioning (RP) and Cultural Addition (CA) services change greatly over time, and drive the overall WES to increase and then decrease. The spatial and temporal distribution of water resources is uneven, with WES being slightly better in the southern region than the northern region. Additionally, spatial radiation effects of typical regulating services are most prominent in S County. This finding suggests the establishment of scientific and rational intra-basin or inter-basin water management systems to expand the beneficial impacts of water-rich areas on neighboring regions.
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Affiliation(s)
- Xinjian Guan
- School of Water Conservancy and Transportation, Zhengzhou University, Zhengzhou, 450001, PR China; Yellow River Laboratory, Zhengzhou University, Zhengzhou, Henan, 450001, PR China
| | - Yingjun Xu
- School of Water Conservancy and Transportation, Zhengzhou University, Zhengzhou, 450001, PR China; Yellow River Laboratory, Zhengzhou University, Zhengzhou, Henan, 450001, PR China
| | - Yu Meng
- School of Water Conservancy and Transportation, Zhengzhou University, Zhengzhou, 450001, PR China; Yellow River Laboratory, Zhengzhou University, Zhengzhou, Henan, 450001, PR China.
| | - Wenjing Xu
- School of Water Conservancy and Transportation, Zhengzhou University, Zhengzhou, 450001, PR China; Yellow River Laboratory, Zhengzhou University, Zhengzhou, Henan, 450001, PR China
| | - Denghua Yan
- School of Water Conservancy and Transportation, Zhengzhou University, Zhengzhou, 450001, PR China; Yellow River Laboratory, Zhengzhou University, Zhengzhou, Henan, 450001, PR China
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15
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Lu J, Wang M, Wang X, Meng Y, Chen F, Zhuang J, Han Y, Wang H, Liu W. A basement membrane extract-based three-dimensional culture system promotes the neuronal differentiation of cochlear Sox10-positive glial cells in vitro. Mater Today Bio 2024; 24:100937. [PMID: 38269057 PMCID: PMC10805941 DOI: 10.1016/j.mtbio.2023.100937] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2023] [Revised: 12/14/2023] [Accepted: 12/27/2023] [Indexed: 01/26/2024] Open
Abstract
Spiral ganglion neurons (SGNs) in the mammalian cochleae are essential for the delivery of acoustic information, and damage to SGNs can lead to permanent sensorineural hearing loss as SGNs are not capable of regeneration. Cochlear glial cells (GCs) might be a potential source for SGN regeneration, but the neuronal differentiation ability of GCs is limited and its properties are not clear yet. Here, we characterized the cochlear Sox10-positive (Sox10+) GCs as a neural progenitor population and developed a basement membrane extract-based three-dimensional (BME-3D) culture system to promote its neuronal generation capacity in vitro. Firstly, the purified Sox10+ GCs, isolated from Sox10-creER/tdTomato mice via flow cytometry, were able to form neurospheres after being cultured in the traditional suspension culture system, while significantly more neurospheres were found and the expression of stem cell-related genes was upregulated in the BME-3D culture group. Next, the BME-3D culture system promoted the neuronal differentiation ability of Sox10+ GCs, as evidenced by the increased number, neurite outgrowth, area of growth cones, and synapse density as well as the promoted excitability of newly induced neurons. Notably, the BME-3D culture system also intensified the reinnervation of newly generated neurons with HCs and protected the neurospheres and derived-neurons against cisplatin-induced damage. Finally, transcriptome sequencing analysis was performed to identify the characteristics of the differentiated neurons. These findings suggest that the BME-3D culture system considerably promotes the proliferation capacity and neuronal differentiation efficiency of Sox10+ GCs in vitro, thus providing a possible strategy for the SGN regeneration study.
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Affiliation(s)
- Junze Lu
- Department of Otolaryngology-Head and Neck Surgery, Shandong Provincial ENT Hospital, Shandong University, Jinan, 250022, China
- Shandong Institute of Otorhinolaryngology, Jinan, 250022, China
| | - Man Wang
- Department of Otolaryngology-Head and Neck Surgery, Shandong Provincial ENT Hospital, Shandong University, Jinan, 250022, China
- Shandong Institute of Otorhinolaryngology, Jinan, 250022, China
| | - Xue Wang
- Department of Otolaryngology-Head and Neck Surgery, Shandong Provincial ENT Hospital, Shandong University, Jinan, 250022, China
- Shandong Institute of Otorhinolaryngology, Jinan, 250022, China
| | - Yu Meng
- Department of Otolaryngology-Head and Neck Surgery, Shandong Provincial ENT Hospital, Shandong University, Jinan, 250022, China
- Shandong Institute of Otorhinolaryngology, Jinan, 250022, China
| | - Fang Chen
- Department of Otolaryngology-Head and Neck Surgery, Shandong Provincial ENT Hospital, Shandong University, Jinan, 250022, China
- Shandong Institute of Otorhinolaryngology, Jinan, 250022, China
| | - Jinzhu Zhuang
- Department of Otolaryngology-Head and Neck Surgery, Shandong Provincial ENT Hospital, Shandong University, Jinan, 250022, China
- Shandong Institute of Otorhinolaryngology, Jinan, 250022, China
| | - Yuechen Han
- Department of Otolaryngology-Head and Neck Surgery, Shandong Provincial ENT Hospital, Shandong University, Jinan, 250022, China
- Shandong Institute of Otorhinolaryngology, Jinan, 250022, China
| | - Haibo Wang
- Department of Otolaryngology-Head and Neck Surgery, Shandong Provincial ENT Hospital, Shandong University, Jinan, 250022, China
- Shandong Institute of Otorhinolaryngology, Jinan, 250022, China
| | - Wenwen Liu
- Department of Otolaryngology-Head and Neck Surgery, Shandong Provincial ENT Hospital, Shandong University, Jinan, 250022, China
- Shandong Institute of Otorhinolaryngology, Jinan, 250022, China
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16
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Liang Y, Peng X, Meng Y, Liu Y, Zhu Q, Xu Z, Yang J. Effect of acute stress on working memory in pilots: Investigating the modulatory role of memory load. PLoS One 2024; 19:e0288221. [PMID: 38271465 PMCID: PMC10810460 DOI: 10.1371/journal.pone.0288221] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2023] [Accepted: 12/07/2023] [Indexed: 01/27/2024] Open
Abstract
Many practitioners, such as pilots, frequently face working memory (WM) demands under acute stress environments, while the effect of acute stress on WM has not been conclusively studied because it is moderated by a variety of factors. The current study investigated how acute stress affects pilots' WM under different memory load conditions. There are 42 pilots conducting the experiments, consisting of 21 stress group participants experiencing the Trier Social Stress Test (TSST) and 21 control group participants experiencing the controlled TSST (C-TSST). Subsequently, both groups performed N-back tasks under three memory load conditions (0-back, 1-back, and 2-back). State Anxiety Inventory (S-AI), heart rate (HR), and salivary cortisol concentrations (SCC) were collected to analyze acute stress induction. The results revealed that (1) the TSST could effectively induce acute stress with higher S-AI, HR, and SCC; (2) higher memory load reduces WM accuracy (ACC) and delays response times (RT); (3) acute stress increases WM ACC under moderate load conditions (1-back task). These results suggest that acute stress may not necessarily impair WM and even improve WM performance under certain memory load conditions. Potential mechanisms of acute stress effects on WM and alternative explanations for the modulatory role of memory load consistent with the emotion and motivation regulation theory are discussed. These findings not only provide insight into the field of acute stress and WM but are also beneficial for pilot training and the development of stress management strategies.
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Affiliation(s)
- Yaowei Liang
- Institute of Aviation Human Factors and Cognitive Neuroscience, College of Flight Technology, Civil Aviation Flight University of China, Guanghan, Sichuan, China
| | - Xing Peng
- Institute of Aviation Human Factors and Cognitive Neuroscience, College of Flight Technology, Civil Aviation Flight University of China, Guanghan, Sichuan, China
| | - Yu Meng
- Institute of Aviation Human Factors and Cognitive Neuroscience, College of Flight Technology, Civil Aviation Flight University of China, Guanghan, Sichuan, China
| | - Yueying Liu
- Institute of Aviation Human Factors and Cognitive Neuroscience, College of Flight Technology, Civil Aviation Flight University of China, Guanghan, Sichuan, China
| | - Qi Zhu
- Institute of Aviation Human Factors and Cognitive Neuroscience, College of Flight Technology, Civil Aviation Flight University of China, Guanghan, Sichuan, China
| | - Zhi Xu
- Institute of Aviation Human Factors and Cognitive Neuroscience, College of Flight Technology, Civil Aviation Flight University of China, Guanghan, Sichuan, China
| | - Jiazhong Yang
- Institute of Aviation Human Factors and Cognitive Neuroscience, College of Flight Technology, Civil Aviation Flight University of China, Guanghan, Sichuan, China
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Ma K, Luo L, Yang M, Meng Y. The suppression of sepsis-induced kidney injury via the knockout of T lymphocytes. Heliyon 2024; 10:e23311. [PMID: 38283245 PMCID: PMC10818183 DOI: 10.1016/j.heliyon.2023.e23311] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2023] [Revised: 11/23/2023] [Accepted: 11/30/2023] [Indexed: 01/30/2024] Open
Abstract
Patients with sepsis always have a high mortality rate, and acute kidney injury (AKI) is the main cause of death. It seems obvious that the immune response is involved in this process, but the specific mechanism is unknown, especially the pathogenic role of T cells and B cells needs to be further clarified. Acute kidney injury models induced by lipopolysaccharide were established using T-cell, B-cell, and T&B cell knockout mice to elucidate the role of immune cells in sepsis. Flow cytometry was used to validate the mouse models, and the pathology can confirm renal tubular injury. LPS-induced sepsis caused significant renal pathological damage, Second-generation gene sequencing showed T cells-associated pathway was enriched in sepsis. The renal tubular injury was significantly reduced in T cell and T&B cell knockout mice (BALB/c-nu, Rag1-/-), especially in BALB/c-nu mice, with a decrease in the secretion of inflammatory cytokines in the renal tissue after LPS injection. LPS injection did not produce the same effect after the knockout of B cells. We found that blocking T cells could alleviate inflammation and renal injury caused by sepsis, providing a promising strategy for controlling renal injury.
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Affiliation(s)
- Ke Ma
- Department of Nephrology, The First Affiliated Hospital of Jinan University, Guangzhou, 510000, China
| | - Liang Luo
- The Biomedical Translational Research Institute, Key Laboratory of Ministry of Education for Viral Pathogenesis & Infection Prevention and Control (Jinan University), Guangzhou Key Laboratory for Germ-free Animals and Microbiota Application, School of Medicine, Jinan University, Guangzhou, 510632, China
| | - Meixiang Yang
- The Biomedical Translational Research Institute, Key Laboratory of Ministry of Education for Viral Pathogenesis & Infection Prevention and Control (Jinan University), Guangzhou Key Laboratory for Germ-free Animals and Microbiota Application, School of Medicine, Jinan University, Guangzhou, 510632, China
- The Fifth Affiliated Hospital (Heyuan Shenhe People's Hospital), Jinan University, Heyuan, 517000, China
| | - Yu Meng
- Department of Nephrology, The First Affiliated Hospital of Jinan University, Guangzhou, 510000, China
- Department of Nephrology, The Fifth Affiliated Hospital (Heyuan Shenhe People's Hospital), Heyuan, 517000, China
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Lu J, Wang M, Meng Y, An W, Wang X, Sun G, Wang H, Liu W. Current advances in biomaterials for inner ear cell regeneration. Front Neurosci 2024; 17:1334162. [PMID: 38282621 PMCID: PMC10811200 DOI: 10.3389/fnins.2023.1334162] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2023] [Accepted: 12/28/2023] [Indexed: 01/30/2024] Open
Abstract
Inner ear cell regeneration from stem/progenitor cells provides potential therapeutic strategies for the restoration of sensorineural hearing loss (SNHL), however, the efficiency of regeneration is low and the functions of differentiated cells are not yet mature. Biomaterials have been used in inner ear cell regeneration to construct a more physiologically relevant 3D culture system which mimics the stem cell microenvironment and facilitates cellular interactions. Currently, these biomaterials include hydrogel, conductive materials, magneto-responsive materials, photo-responsive materials, etc. We analyzed the characteristics and described the advantages and limitations of these materials. Furthermore, we reviewed the mechanisms by which biomaterials with different physicochemical properties act on the inner ear cell regeneration and depicted the current status of the material selection based on their characteristics to achieve the reconstruction of the auditory circuits. The application of biomaterials in inner ear cell regeneration offers promising opportunities for the reconstruction of the auditory circuits and the restoration of hearing, yet biomaterials should be strategically explored and combined according to the obstacles to be solved in the inner ear cell regeneration research.
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Affiliation(s)
- Junze Lu
- Department of Otolaryngology-Head and Neck Surgery, Shandong Provincial ENT Hospital, Shandong University, Jinan, China
- Shandong Institute of Otorhinolaryngology, Jinan, China
| | - Man Wang
- Department of Otolaryngology-Head and Neck Surgery, Shandong Provincial ENT Hospital, Shandong University, Jinan, China
- Shandong Institute of Otorhinolaryngology, Jinan, China
| | - Yu Meng
- Department of Otolaryngology-Head and Neck Surgery, Shandong Provincial ENT Hospital, Shandong University, Jinan, China
- Shandong Institute of Otorhinolaryngology, Jinan, China
| | - Weibin An
- Department of Otolaryngology-Head and Neck Surgery, Shandong Provincial ENT Hospital, Shandong University, Jinan, China
- Shandong Institute of Otorhinolaryngology, Jinan, China
| | - Xue Wang
- Department of Otolaryngology-Head and Neck Surgery, Shandong Provincial ENT Hospital, Shandong University, Jinan, China
- Shandong Institute of Otorhinolaryngology, Jinan, China
| | - Gaoying Sun
- Department of Otolaryngology-Head and Neck Surgery, Shandong Provincial ENT Hospital, Shandong University, Jinan, China
- Shandong Institute of Otorhinolaryngology, Jinan, China
| | - Haibo Wang
- Department of Otolaryngology-Head and Neck Surgery, Shandong Provincial ENT Hospital, Shandong University, Jinan, China
- Shandong Institute of Otorhinolaryngology, Jinan, China
| | - Wenwen Liu
- Department of Otolaryngology-Head and Neck Surgery, Shandong Provincial ENT Hospital, Shandong University, Jinan, China
- Shandong Institute of Otorhinolaryngology, Jinan, China
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Meng Y, Meng S, Zhang Y, Song Y, Wang E, Wang G, Xie K, Cui Y. The protective effect of dexmedetomidine on the liver injury in sepsis through inhibition of necroptosis. Shock 2024:00024382-990000000-00360. [PMID: 38320216 DOI: 10.1097/shk.0000000000002303] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/08/2024]
Abstract
BACKGROUND Sepsis-induced liver injury leads to extensive necroptosis in hepatocytes, which is the main factor of liver dysfunction. This study aims to investigate the protective effect of dexmedetomidine (DEX) on septic liver and to explore whether its molecular mechanism is related to the modulation of necroptosis. METHODS The model of septic liver injury was induced by cecal ligation and puncture (CLP) in rats. DEX and necrostatin-1(Nec-1), a specific antagonist of necroptosis, were administered 1 h before CLP. The levels of arterial blood gas (ABG), serum AST and ALT were measured at 6, 12 and 24 h after CLP. The survival rate was observed 24 h after CLP. Liver pathological changes and apoptosis, the contents of IL-6 and TNF-α in liver tissue homogenates, the ROS content in liver tissue, and the expression levels of RIP1, RIP3, MLKL and HMGB1 were detected. RESULTS At 6, 12, and 24 h after CLP, the levels of ALT and AST levels increased, and liver enzyme levels gradually increased with the progression of sepsis. In ABG analysis, PaO2 gradually decreased and lactic acid concentration gradually increased during these three time periods. The morphological impairment of liver tissues, increased apoptosis, elevated inflammatory factors (IL-6 and TNF-α), increased ROS level and necroptosis components (RIP1, RIP3, MLKL and HMGB1) were all observed in sepsis rats. However, these injuries can be ameliorated by pretreatment with DEX. Meanwhile, Nec-1 pretreatment also reduced the expression of RIP1, RIP3, MLKL, HMGB1, and ROS level. CONCLUSION Our study suggests that DEX alleviates septic liver injury, and the mechanism is associated with the inhibition of necroptosis.
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Affiliation(s)
- Yu Meng
- Department of Critical Care Medicine, Tianjin Medical University General Hospital, Tianjin 300052, China
| | | | - Yu Zhang
- Department of Anesthesiology, Tangshan Maternity and Child Healthcare Hospital, Tangshan 063000, China
| | - Yu Song
- Department of Critical Care Medicine, Tianjin Medical University General Hospital, Tianjin 300052, China
| | - Eenquan Wang
- Department of Anesthesiology, Tianjin Medical University General Hospital, Tianjin 300052, China
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20
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Li L, Lu J, Liu J, Wu J, Zhang X, Meng Y, Wu X, Tai Z, Zhu Q, Chen Z. Immune cells in the epithelial immune microenvironment of psoriasis: emerging therapeutic targets. Front Immunol 2024; 14:1340677. [PMID: 38239345 PMCID: PMC10794746 DOI: 10.3389/fimmu.2023.1340677] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2023] [Accepted: 12/15/2023] [Indexed: 01/22/2024] Open
Abstract
Psoriasis is a chronic autoimmune inflammatory disease characterized by erroneous metabolism of keratinocytes. The development of psoriasis is closely related to abnormal activation and disorders of the immune system. Dysregulated skin protective mechanisms can activate inflammatory pathways within the epithelial immune microenvironment (EIME), leading to the development of autoimmune-related and inflammatory skin diseases. In this review, we initially emphasized the pathogenesis of psoriasis, paying particular attention to the interactions between the abnormal activation of immune cells and the production of cytokines in psoriasis. Subsequently, we delved into the significance of the interactions between EIME and immune cells in the emergence of psoriasis. A thorough understanding of these immune processes is crucial to the development of targeted therapies for psoriasis. Finally, we discussed the potential novel targeted therapies aimed at modulating the EIME in psoriasis. This comprehensive examination sheds light on the intricate underlying immune mechanisms and provides insights into potential therapeutic avenues of immune-mediated inflammatory diseases.
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Affiliation(s)
- Lisha Li
- Shanghai Skin Disease Hospital, School of Medicine, Tongji University, Shanghai, China
- Shanghai University, School of Medicine, Shanghai, China
- Shanghai Engineering Research Center of External Chinese Medicine, Shanghai, China
| | - Jiaye Lu
- Shanghai Skin Disease Hospital, School of Medicine, Tongji University, Shanghai, China
- Shanghai University, School of Medicine, Shanghai, China
- Shanghai Engineering Research Center of External Chinese Medicine, Shanghai, China
| | - Jun Liu
- Shanghai Skin Disease Hospital, School of Medicine, Tongji University, Shanghai, China
- Shanghai Engineering Research Center of External Chinese Medicine, Shanghai, China
| | - Junchao Wu
- Shanghai Skin Disease Hospital, School of Medicine, Tongji University, Shanghai, China
- Shanghai University, School of Medicine, Shanghai, China
- Shanghai Engineering Research Center of External Chinese Medicine, Shanghai, China
| | - Xinyue Zhang
- Shanghai Skin Disease Hospital, School of Medicine, Tongji University, Shanghai, China
- Shanghai Engineering Research Center of External Chinese Medicine, Shanghai, China
| | - Yu Meng
- Shanghai Skin Disease Hospital, School of Medicine, Tongji University, Shanghai, China
- Shanghai Engineering Research Center of External Chinese Medicine, Shanghai, China
| | - Xiying Wu
- Shanghai Skin Disease Hospital, School of Medicine, Tongji University, Shanghai, China
- Shanghai Engineering Research Center of External Chinese Medicine, Shanghai, China
| | - Zongguang Tai
- Shanghai Skin Disease Hospital, School of Medicine, Tongji University, Shanghai, China
- Shanghai Engineering Research Center of External Chinese Medicine, Shanghai, China
| | - Quangang Zhu
- Shanghai Skin Disease Hospital, School of Medicine, Tongji University, Shanghai, China
- Shanghai University, School of Medicine, Shanghai, China
- Shanghai Engineering Research Center of External Chinese Medicine, Shanghai, China
| | - Zhongjian Chen
- Shanghai Skin Disease Hospital, School of Medicine, Tongji University, Shanghai, China
- Shanghai University, School of Medicine, Shanghai, China
- Shanghai Engineering Research Center of External Chinese Medicine, Shanghai, China
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21
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Ji Q, Lian W, Meng Y, Liu W, Zhuang M, Zheng N, Karlsson IK, Zhan Y. Cytomegalovirus Infection and Alzheimer's Disease: A Meta-Analysis. J Prev Alzheimers Dis 2024; 11:422-427. [PMID: 38374748 DOI: 10.14283/jpad.2023.126] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/21/2024]
Abstract
BACKGROUND Evidence on the association of cytomegalovirus (CMV) infection with Alzheimer's disease (AD) is scarce and the results are inconsistent. OBJECTIVE To investigate the association of CMV infection with the risk of AD. METHODS Observational studies on the relationship between CMV infection and AD were identified from PubMed, Embase, Web of Science, and the Cochrane Library until September 30, 2022. The quality of included studies was assessed using the Newcastle-Ottawa Scale. Random-effect meta-analysis was performed using a generic inverse-variance method, followed by sensitivity analyses and subgroup analyses based on study designs, regions, adjustments, and population types. RESULTS Our search yielded 870 articles, of which 200 were duplicates and 663 did not meet the inclusion criteria, and finally yielded seven studies with 6,772 participants. No strong evidence was observed in the summary analysis for the association of CMV infection and risk of AD (odds ratio [OR] = 1.33; 95% confidence interval [CI]: 0.88, 2.03, I2 =69.9%). However, subgroup analysis showed that an increased risk of AD was detected in East Asians (OR = 2.39; 95% CI: 1.63, 3.50, I2 = 0.00%), cohort studies (OR = 1.99; 95% CI: 1.35, 2.94, I2 = 28.20%), and studies with confounder adjustment (OR = 2.05; 95% CI: 1.52, 2.77, I2 = 0.00%). CONCLUSIONS This meta-analysis provides evidence to support the heterogeneity of the associations between CMV infection and AD. Future studies with larger sample sizes and multi-ethnic populations are necessary.
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Affiliation(s)
- Q Ji
- Yiqiang Zhan, Department of Epidemiology, School of Public Health (Shenzhen), Sun Yat-Sen University, Shenzhen, China; Tel: 0755-23260106; E-mail:
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22
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Li X, Han Y, Meng Y, Yin L. Small RNA-big impact: exosomal miRNAs in mitochondrial dysfunction in various diseases. RNA Biol 2024; 21:1-20. [PMID: 38174992 PMCID: PMC10773649 DOI: 10.1080/15476286.2023.2293343] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 12/05/2023] [Indexed: 01/05/2024] Open
Abstract
Mitochondria are multitasking organelles involved in maintaining the cell homoeostasis. Beyond its well-established role in cellular bioenergetics, mitochondria also function as signal organelles to propagate various cellular outcomes. However, mitochondria have a self-destructive arsenal of factors driving the development of diseases caused by mitochondrial dysfunction. Extracellular vesicles (EVs), a heterogeneous group of membranous nano-sized vesicles, are present in a variety of bodily fluids. EVs serve as mediators for intercellular interaction. Exosomes are a class of small EVs (30-100 nm) released by most cells. Exosomes carry various cargo including microRNAs (miRNAs), a class of short noncoding RNAs. Recent studies have closely associated exosomal miRNAs with various human diseases, including diseases caused by mitochondrial dysfunction, which are a group of complex multifactorial diseases and have not been comprehensively described. In this review, we first briefly introduce the characteristics of EVs. Then, we focus on possible mechanisms regarding exosome-mitochondria interaction through integrating signalling networks. Moreover, we summarize recent advances in the knowledge of the role of exosomal miRNAs in various diseases, describing how mitochondria are changed in disease status. Finally, we propose future research directions to provide a novel therapeutic strategy that could slow the disease progress mediated by mitochondrial dysfunction.
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Affiliation(s)
- Xiaqing Li
- Institute of Nephrology and Blood Purification, The First Affiliated Hospital, Jinan University Guangzhou, Guangdong, China
- Central laboratory, The Fifth Hospital Affiliated to Jinan University, Heyuan, China
| | - Yi Han
- Traditional Chinese Medicine Department, People’s Hospital of Yanjiang District, Ziyang, Sichuan, China
| | - Yu Meng
- Institute of Nephrology and Blood Purification, The First Affiliated Hospital, Jinan University Guangzhou, Guangdong, China
- Central laboratory, The Fifth Hospital Affiliated to Jinan University, Heyuan, China
| | - Lianghong Yin
- Institute of Nephrology and Blood Purification, The First Affiliated Hospital, Jinan University Guangzhou, Guangdong, China
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Kuttruff J, Holder J, Meng Y, Baum P. Real-time electron clustering in an event-driven hybrid pixel detector. Ultramicroscopy 2024; 255:113864. [PMID: 37839354 DOI: 10.1016/j.ultramic.2023.113864] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2023] [Revised: 09/26/2023] [Accepted: 10/04/2023] [Indexed: 10/17/2023]
Abstract
Event-driven hybrid pixel detectors with nanosecond time resolution have opened up novel pathways in modern ultrafast electron microscopy, for example in hyperspectral electron-energy loss spectroscopy or free-electron quantum optics. However, the impinging electrons typically excite more than one pixel of the device, and an efficient algorithm is therefore needed to convert the measured pixel hits to real single-electron events. Here we present a robust clustering algorithm that is fast enough to find clusters in a continuous stream of raw data in real time. Each tuple of position and arrival time from the detector is continuously compared to a buffer of previous hits until the probability of a merger with an old event becomes irrelevant. In this way, the computation time becomes independent of the density of electron arrival and the algorithm does not break the operation chain. We showcase the performance of the algorithm with a 'timepix' camera in two regimes of electron microscopy, in continuous beam emission and laser-triggered femtosecond mode.
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Affiliation(s)
- J Kuttruff
- Universität Konstanz, Fachbereich Physik, 78464 Konstanz, Germany
| | - J Holder
- Universität Konstanz, Fachbereich Physik, 78464 Konstanz, Germany
| | - Y Meng
- Universität Konstanz, Fachbereich Physik, 78464 Konstanz, Germany
| | - P Baum
- Universität Konstanz, Fachbereich Physik, 78464 Konstanz, Germany.
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Meng Y, Gong A, Chen Z, Wang Q, Guo J, Li Z, Li J. Atomistic-Continuum Study of an Ultrafast Melting Process Controlled by a Femtosecond Laser-Pulse Train. Materials (Basel) 2023; 17:185. [PMID: 38204038 PMCID: PMC10779960 DOI: 10.3390/ma17010185] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/06/2023] [Revised: 12/18/2023] [Accepted: 12/22/2023] [Indexed: 01/12/2024]
Abstract
In femtosecond laser fabrication, the laser-pulse train shows great promise in improving processing efficiency, quality, and precision. This research investigates the influence of pulse number, pulse interval, and pulse energy ratio on the lateral and longitudinal ultrafast melting process using an experiment and the molecular dynamics coupling two-temperature model (MD-TTM model), which incorporates temperature-dependent thermophysical parameters. The comparison of experimental and simulation results under single and double pulses proves the reliability of the MD-TTM model and indicates that as the pulse number increases, the melting threshold at the edge region of the laser spot decreases, resulting in a larger diameter of the melting region in the 2D lateral melting results. Using the same model, the lateral melting results of five pulses are simulated. Moreover, the longitudinal melting results are also predicted, and an increasing pulse number leads to a greater early-stage melting depth in the melting process. In the case of double femtosecond laser pulses, the pulse interval and pulse energy ratio also affect the early-stage melting depth, with the best enhancement observed with a 2 ps interval and a 3:7 energy ratio. However, pulse number, pulse energy ratio, and pulse interval do not affect the final melting depth with the same total energies. The findings mean that the phenomena of melting region can be flexibly manipulated through the laser-pulse train, which is expected to be applied to improve the structural precision and boundary quality.
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Affiliation(s)
- Yu Meng
- Laser Micro/Nano Fabrication Laboratory, School of Mechanical Engineering, Beijing Institute of Technology, Beijing 100081, China
- Yangtze Delta Region Academy of Beijing Institute of Technology, Jiaxing 314019, China
| | - An Gong
- Laser Micro/Nano Fabrication Laboratory, School of Mechanical Engineering, Beijing Institute of Technology, Beijing 100081, China
| | - Zhicheng Chen
- Laser Micro/Nano Fabrication Laboratory, School of Mechanical Engineering, Beijing Institute of Technology, Beijing 100081, China
| | - Qingsong Wang
- Laser Micro/Nano Fabrication Laboratory, School of Mechanical Engineering, Beijing Institute of Technology, Beijing 100081, China
| | - Jianwu Guo
- Laser Micro/Nano Fabrication Laboratory, School of Mechanical Engineering, Beijing Institute of Technology, Beijing 100081, China
- Yangtze Delta Region Academy of Beijing Institute of Technology, Jiaxing 314019, China
| | - Zihao Li
- Laser Micro/Nano Fabrication Laboratory, School of Mechanical Engineering, Beijing Institute of Technology, Beijing 100081, China
| | - Jiafang Li
- School of Physics, Beijing Institute of Technology, Beijing 100081, China
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Lyu CC, Meng Y, Che HY, Suo JL, He YT, Zheng Y, Jiang H, Zhang JB, Yuan B. MSI2 Modulates Unsaturated Fatty Acid Metabolism by Binding FASN in Bovine Mammary Epithelial Cells. J Agric Food Chem 2023; 71:20359-20371. [PMID: 38059915 DOI: 10.1021/acs.jafc.3c07280] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/08/2023]
Abstract
The regulation of fatty acid metabolism is crucial for milk flavor and quality. Therefore, it is important to explore the genes that play a role in fatty acid metabolism and their mechanisms of action. The RNA-binding protein Musashi2 (MSI2) is involved in the regulation of numerous biological processes and plays a regulatory role in post-transcriptional translation. However, its role in the mammary glands of dairy cows has not been reported. The present study examined MSI2 expression in mammary glands from lactating and dry milk cows. Experimental results in bovine mammary epithelial cells (BMECs) showed that MSI2 was negatively correlated with the ability to synthesize milk fat and that MSI2 decreased the content of unsaturated fatty acids (UFAs) in BMECs. Silencing of Msi2 increased triglyceride accumulation in BMECs and increased the proportion of UFAs. MSI2 affects TAG synthesis and milk fat synthesis by regulating fatty acid synthase (FASN). In addition, RNA immunoprecipitation experiments in BMECs demonstrated for the first time that MSI2 can bind to the 3'-UTR of FASN mRNA to exert a regulatory effect. In conclusion, MSI2 affects milk fat synthesis and fatty acid metabolism by regulating the triglyceride synthesis and UFA content through binding FASN.
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Affiliation(s)
- Chen-Chen Lyu
- Department of Laboratory Animals, College of Animal Sciences, Jilin Provincial Key Laboratory of Animal Model, Jilin University, Changchun 130062, Jilin, China
| | - Yu Meng
- Department of Laboratory Animals, College of Animal Sciences, Jilin Provincial Key Laboratory of Animal Model, Jilin University, Changchun 130062, Jilin, China
| | - Hao-Yu Che
- Department of Laboratory Animals, College of Animal Sciences, Jilin Provincial Key Laboratory of Animal Model, Jilin University, Changchun 130062, Jilin, China
| | - Jin-Long Suo
- Institute of Microsurgery on Extremities, and Department of Orthopaedic Surgery, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai 200233, China
| | - Yun-Tong He
- Department of Laboratory Animals, College of Animal Sciences, Jilin Provincial Key Laboratory of Animal Model, Jilin University, Changchun 130062, Jilin, China
| | - Yi Zheng
- Department of Laboratory Animals, College of Animal Sciences, Jilin Provincial Key Laboratory of Animal Model, Jilin University, Changchun 130062, Jilin, China
| | - Hao Jiang
- Department of Laboratory Animals, College of Animal Sciences, Jilin Provincial Key Laboratory of Animal Model, Jilin University, Changchun 130062, Jilin, China
| | - Jia-Bao Zhang
- Department of Laboratory Animals, College of Animal Sciences, Jilin Provincial Key Laboratory of Animal Model, Jilin University, Changchun 130062, Jilin, China
| | - Bao Yuan
- Department of Laboratory Animals, College of Animal Sciences, Jilin Provincial Key Laboratory of Animal Model, Jilin University, Changchun 130062, Jilin, China
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Meng Y, Sun HY, He Y, Zhou Q, Liu YH, Su H, Yin MZ, Zeng FR, Chen X, Deng GT. BET inhibitors potentiate melanoma ferroptosis and immunotherapy through AKR1C2 inhibition. Mil Med Res 2023; 10:61. [PMID: 38049916 PMCID: PMC10694977 DOI: 10.1186/s40779-023-00497-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/10/2023] [Accepted: 11/15/2023] [Indexed: 12/06/2023] Open
Affiliation(s)
- Yu Meng
- Department of Dermatology, Xiangya Hospital, Central South University, Changsha, 410008, China
- National Engineering Research Center of Personalized Diagnostic and Therapeutic Technology, Changsha, 410008, China
- Furong Laboratory, Changsha, 410008, China
- Hunan Key Laboratory of Skin Cancer and Psoriasis, Hunan Engineering Research Center of Skin Health and Disease, Xiangya Hospital, Central South University, Changsha, 410008, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Changsha, 410008, China
| | - Hui-Yan Sun
- Department of Dermatology, Xiangya Hospital, Central South University, Changsha, 410008, China
- National Engineering Research Center of Personalized Diagnostic and Therapeutic Technology, Changsha, 410008, China
- Furong Laboratory, Changsha, 410008, China
- Hunan Key Laboratory of Skin Cancer and Psoriasis, Hunan Engineering Research Center of Skin Health and Disease, Xiangya Hospital, Central South University, Changsha, 410008, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Changsha, 410008, China
- Department of Breast Reconstruction, Tianjin Medical University Cancer Institute and Hospital, Tianjin, 300202, China
| | - Yi He
- Department of Dermatology, Xiangya Hospital, Central South University, Changsha, 410008, China
- National Engineering Research Center of Personalized Diagnostic and Therapeutic Technology, Changsha, 410008, China
- Furong Laboratory, Changsha, 410008, China
- Hunan Key Laboratory of Skin Cancer and Psoriasis, Hunan Engineering Research Center of Skin Health and Disease, Xiangya Hospital, Central South University, Changsha, 410008, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Changsha, 410008, China
| | - Qian Zhou
- Department of Dermatology, Xiangya Hospital, Central South University, Changsha, 410008, China
- National Engineering Research Center of Personalized Diagnostic and Therapeutic Technology, Changsha, 410008, China
- Furong Laboratory, Changsha, 410008, China
- Hunan Key Laboratory of Skin Cancer and Psoriasis, Hunan Engineering Research Center of Skin Health and Disease, Xiangya Hospital, Central South University, Changsha, 410008, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Changsha, 410008, China
| | - Yi-Huang Liu
- Department of Dermatology, Xiangya Hospital, Central South University, Changsha, 410008, China
- National Engineering Research Center of Personalized Diagnostic and Therapeutic Technology, Changsha, 410008, China
- Furong Laboratory, Changsha, 410008, China
- Hunan Key Laboratory of Skin Cancer and Psoriasis, Hunan Engineering Research Center of Skin Health and Disease, Xiangya Hospital, Central South University, Changsha, 410008, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Changsha, 410008, China
| | - Hui Su
- Department of Dermatology, Xiangya Hospital, Central South University, Changsha, 410008, China
- National Engineering Research Center of Personalized Diagnostic and Therapeutic Technology, Changsha, 410008, China
- Furong Laboratory, Changsha, 410008, China
- Hunan Key Laboratory of Skin Cancer and Psoriasis, Hunan Engineering Research Center of Skin Health and Disease, Xiangya Hospital, Central South University, Changsha, 410008, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Changsha, 410008, China
| | - Ming-Zhu Yin
- Department of Dermatology, Xiangya Hospital, Central South University, Changsha, 410008, China
- National Engineering Research Center of Personalized Diagnostic and Therapeutic Technology, Changsha, 410008, China
- Furong Laboratory, Changsha, 410008, China
- Hunan Key Laboratory of Skin Cancer and Psoriasis, Hunan Engineering Research Center of Skin Health and Disease, Xiangya Hospital, Central South University, Changsha, 410008, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Changsha, 410008, China
| | - Fu-Rong Zeng
- Department of Oncology, Xiangya Hospital, Central South University, Changsha, 410008, China.
| | - Xiang Chen
- Department of Dermatology, Xiangya Hospital, Central South University, Changsha, 410008, China.
- National Engineering Research Center of Personalized Diagnostic and Therapeutic Technology, Changsha, 410008, China.
- Furong Laboratory, Changsha, 410008, China.
- Hunan Key Laboratory of Skin Cancer and Psoriasis, Hunan Engineering Research Center of Skin Health and Disease, Xiangya Hospital, Central South University, Changsha, 410008, China.
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Changsha, 410008, China.
| | - Guang-Tong Deng
- Department of Dermatology, Xiangya Hospital, Central South University, Changsha, 410008, China.
- National Engineering Research Center of Personalized Diagnostic and Therapeutic Technology, Changsha, 410008, China.
- Furong Laboratory, Changsha, 410008, China.
- Hunan Key Laboratory of Skin Cancer and Psoriasis, Hunan Engineering Research Center of Skin Health and Disease, Xiangya Hospital, Central South University, Changsha, 410008, China.
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Changsha, 410008, China.
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Zhao D, Meng Y, Dian Y, Zhou Q, Sun Y, Le J, Zeng F, Chen X, He Y, Deng G. Molecular landmarks of tumor disulfidptosis across cancer types to promote disulfidptosis-target therapy. Redox Biol 2023; 68:102966. [PMID: 38035663 DOI: 10.1016/j.redox.2023.102966] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2023] [Revised: 11/11/2023] [Accepted: 11/14/2023] [Indexed: 12/02/2023] Open
Abstract
The mystery about the mechanistic basis of disulfidptosis has recently been unraveled and shows promise as an effective treatment modality for triggering cancer cell death. However, the limited understanding of the role of disulfidptosis in tumor progression and drug sensitivity has hindered the development of disulfidptosis-targeted therapy and combinations with other therapeutic strategies. Here, we established a disulfidptosis signature model to estimate tumor disulfidptosis status in approximately 10,000 tumor samples across 33 cancer types and revealed its prognostic value. Then, we characterized disulfidptosis-associated molecular features and identified various types of molecular alterations that correlate with both drug-resistant and drug-sensitive responses to anti-tumor drugs. We further showed the vast heterogeneity in disulfidptosis status among 760 cancer cell lines across 25 cancer types. We experimentally validated that disulfidptosis score-high cell lines are more susceptible to glucose starvation-induced disulfidptosis compared to their counterparts with low scores. Finally, we investigated the impact of disulfidptosis status on drug response and revealed that disulfidptosis induction may enhance sensitivity to anti-cancer drugs, but in some cases, it could also lead to drug resistance in cultured cells. Overall, our multi-omics analysis firstly elucidates a comprehensive profile of disulfidptosis-related molecular alterations, prognosis, and potential therapeutic therapies at a pan-cancer level. These findings may uncover opportunities to utilize multiple drug sensitivities induced by disulfidptosis, thereby offering practical implications for clinical cancer therapy.
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Affiliation(s)
- Deze Zhao
- Department of Dermatology, Xiangya Hospital, Central South University, Changsha, Hunan 410008, China; National Engineering Research Center of Personalized Diagnostic and Therapeutic Technology, Changsha, Hunan 410008, China; Furong Laboratory, Changsha, Hunan 410008, China; Hunan Key Laboratory of Skin Cancer and Psoriasis, Hunan Engineering Research Center of Skin Health and Disease, Xiangya Hospital, Central South University, Changsha, Hunan 410008, China; National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan 410008, China; Department of Thoracic Surgery, Xiangya Hospital, Central South University, Changsha, Hunan 410008, China
| | - Yu Meng
- Department of Dermatology, Xiangya Hospital, Central South University, Changsha, Hunan 410008, China; National Engineering Research Center of Personalized Diagnostic and Therapeutic Technology, Changsha, Hunan 410008, China; Furong Laboratory, Changsha, Hunan 410008, China; Hunan Key Laboratory of Skin Cancer and Psoriasis, Hunan Engineering Research Center of Skin Health and Disease, Xiangya Hospital, Central South University, Changsha, Hunan 410008, China; National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan 410008, China
| | - Yating Dian
- Department of Dermatology, Xiangya Hospital, Central South University, Changsha, Hunan 410008, China; National Engineering Research Center of Personalized Diagnostic and Therapeutic Technology, Changsha, Hunan 410008, China; Furong Laboratory, Changsha, Hunan 410008, China; Hunan Key Laboratory of Skin Cancer and Psoriasis, Hunan Engineering Research Center of Skin Health and Disease, Xiangya Hospital, Central South University, Changsha, Hunan 410008, China; National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan 410008, China
| | - Qian Zhou
- Department of Dermatology, Xiangya Hospital, Central South University, Changsha, Hunan 410008, China; National Engineering Research Center of Personalized Diagnostic and Therapeutic Technology, Changsha, Hunan 410008, China; Furong Laboratory, Changsha, Hunan 410008, China; Hunan Key Laboratory of Skin Cancer and Psoriasis, Hunan Engineering Research Center of Skin Health and Disease, Xiangya Hospital, Central South University, Changsha, Hunan 410008, China; National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan 410008, China
| | - Yuming Sun
- Department of Plastic and Cosmetic Surgery, Xiangya Hospital, Central South University, Changsha, Hunan 410008, China
| | - Jiayuan Le
- Department of Dermatology, Xiangya Hospital, Central South University, Changsha, Hunan 410008, China; National Engineering Research Center of Personalized Diagnostic and Therapeutic Technology, Changsha, Hunan 410008, China; Furong Laboratory, Changsha, Hunan 410008, China; Hunan Key Laboratory of Skin Cancer and Psoriasis, Hunan Engineering Research Center of Skin Health and Disease, Xiangya Hospital, Central South University, Changsha, Hunan 410008, China; National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan 410008, China
| | - Furong Zeng
- Department of Oncology, Xiangya Hospital, Central South University, Changsha, Hunan 410008, China.
| | - Xiang Chen
- Department of Dermatology, Xiangya Hospital, Central South University, Changsha, Hunan 410008, China; National Engineering Research Center of Personalized Diagnostic and Therapeutic Technology, Changsha, Hunan 410008, China; Furong Laboratory, Changsha, Hunan 410008, China; Hunan Key Laboratory of Skin Cancer and Psoriasis, Hunan Engineering Research Center of Skin Health and Disease, Xiangya Hospital, Central South University, Changsha, Hunan 410008, China; National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan 410008, China.
| | - Yi He
- Department of Dermatology, Xiangya Hospital, Central South University, Changsha, Hunan 410008, China; National Engineering Research Center of Personalized Diagnostic and Therapeutic Technology, Changsha, Hunan 410008, China; Furong Laboratory, Changsha, Hunan 410008, China; Hunan Key Laboratory of Skin Cancer and Psoriasis, Hunan Engineering Research Center of Skin Health and Disease, Xiangya Hospital, Central South University, Changsha, Hunan 410008, China; National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan 410008, China.
| | - Guangtong Deng
- Department of Dermatology, Xiangya Hospital, Central South University, Changsha, Hunan 410008, China; National Engineering Research Center of Personalized Diagnostic and Therapeutic Technology, Changsha, Hunan 410008, China; Furong Laboratory, Changsha, Hunan 410008, China; Hunan Key Laboratory of Skin Cancer and Psoriasis, Hunan Engineering Research Center of Skin Health and Disease, Xiangya Hospital, Central South University, Changsha, Hunan 410008, China; National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan 410008, China.
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28
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Guo H, Yu J, He T, Chen S, Sun Z, Zhang J, Sun Z, Yang W, Yao B, Yang X, Liu Y, Zhang M, Meng Y, Yang L, Yan H. Early use of intravitreal triamcinolone to inhibit traumatic proliferative vitreoretinopathy: a randomised clinical trial. Br J Ophthalmol 2023:bjo-2023-324318. [PMID: 38041678 DOI: 10.1136/bjo-2023-324318] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2023] [Accepted: 11/05/2023] [Indexed: 12/03/2023]
Abstract
AIMS To evaluate the efficacy and safety of intravitreal triamcinolone acetonide (TA) injection at the end of emergency surgery for open globe injury (OGI) to suppress traumatic proliferative vitreoretinopathy (TPVR). METHODS A single-centre, participant-masked, prospective, randomised controlled clinical trial. A total of 68 globe rupture patients with zone III were randomised to the control group (n=34) or the TA group (n=34) in 1:1 allocation ratio. Patients were treated with 0.1 mL TA in the TA group and 0.1 mL balanced salt solution in the control group at the end of emergency surgery. The primary outcome was the assessment of TPVR during vitrectomy 10±3 days later. Secondary outcomes included visual acuity (VA), retinal attachment rate, macular attachment rate, proliferative vitreoretinopathy (PVR) recurrent rate, side effects 6 months after vitrectomy. RESULTS During vitrectomy, the TPVR grade of the control group was significantly more severe than the TA group (p=0.028). The TPVR score was significantly better in the TA group (9.30±0.82) than in the control group (6.44±1.06) (p=0.036). The final VA improved in 23 eyes (92%) in the TA group and in 14 eyes (63.64%) in the control group (p=0.008). The retinal attachment rates were 88% and 63.64% in the TA and control group, respectively (p=0.049). The two groups showed no significant difference in macular repositioning and PVR recurrent rate (p=0.215, 0.191). Temporary intraocular pressure elevation occurred in one eye in the TA group after emergency surgery. CONCLUSIONS Early intravitreal TA injection for OGI effectively reduces TPVR, increases surgical success and improves visual prognosis.
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Affiliation(s)
- Haixia Guo
- Department of Ophthalmology, Tianjin Medical University General Hospital, Tianjin, China
| | - Jinguo Yu
- Department of Ophthalmology, Tianjin Medical University General Hospital, Tianjin, China
| | - Tiangeng He
- Department of Ophthalmology, Tianjin Medical University General Hospital, Tianjin, China
| | - Song Chen
- Department of Ophthalmology, Tianjin Medical University General Hospital, Tianjin, China
| | - Zhuoyu Sun
- Department of Epidemiology and Statistics, Tianjin Medical University, Tianjin, China
| | - Jingkai Zhang
- Department of Ophthalmology, Tianjin Medical University General Hospital, Tianjin, China
| | - Zhiyong Sun
- Department of Ophthalmology, Tianjin Medical University General Hospital, Tianjin, China
| | - Wenhui Yang
- Department of Ophthalmology, Tianjin Medical University General Hospital, Tianjin, China
| | - Baoqun Yao
- Department of Ophthalmology, Tianjin Medical University General Hospital, Tianjin, China
| | - Xueli Yang
- The First Affiliated Hospital of Dali University, Dali University, Dali, Yunnan, China
| | - Yuanyuan Liu
- Department of Ophthalmology, Tianjin Medical University General Hospital, Tianjin, China
| | - Mingxue Zhang
- Department of Ophthalmology, Tianjin Medical University General Hospital, Tianjin, China
| | - Yu Meng
- Airport Hospital, Tianjin Medical University General Hospital, Tianjin, China
| | - Likun Yang
- Department of Ophthalmology, Tianjin Medical University General Hospital, Tianjin, China
| | - Hua Yan
- Department of Ophthalmology, Tianjin Medical University General Hospital, Tianjin, China
- Tianjin Key Laboratory of Ocular Trauma, TIanjin Medical university, Tianjin, China
- Laboratory of Molecular Ophthalmology, Tianjin Medical University, Tianjin, China
- School of Medicine, Nankai University, Tianjin, China
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29
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Chen S, Meng Y, Lin S, Yu Y, Xi J. Estimation of sea surface nitrate from space: Current status and future potential. Sci Total Environ 2023; 899:165690. [PMID: 37487888 DOI: 10.1016/j.scitotenv.2023.165690] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/15/2023] [Revised: 07/18/2023] [Accepted: 07/19/2023] [Indexed: 07/26/2023]
Abstract
Sea surface nitrate (SSN) plays an important role in assessing phytoplankton growth and new production in the ocean. Field sampling of SSN data is important, but limited by data quantity both spatially and temporally. Satellite remote sensing can contribute through providing spatial and temporal data to such assessments. During the past 30 years many studies have been published focusing on SSN retrievals from satellites to a greater or less extent. In this study, we reviewed the progresses of SSN estimation from satellites in both open ocean and coastal waters. Because of the lack of electromagnetic properties of SSN, satellite retrievals of SSN were most realized by developing relationships between SSN and related environmental variables (e.g., sea surface temperature, chlorophyll-a concentration, sea surface salinity), using traditional empirical regressions and novel machine learning techniques. We synthesized most of the peer-reviewed studies for both open and coastal oceans, in terms of study areas, model inputs, regression formulas, and model uncertainties. In general, regional SSN algorithms were most developed in coastal oceans with upwelling or river discharges. The published SSN algorithms had varying uncertainties with a wide range of 0.83-6.87 μmol/L, and the uncertainties were significantly reduced in recent studies, with more field measurements available and better understanding of the physical and biogeochemical processes in driving nitrate dynamics.
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Affiliation(s)
- Shuangling Chen
- State Key Laboratory of Satellite Ocean Environment Dynamics, Second Institute of Oceanography, Ministry of Natural Resources, Hangzhou 310012, China.
| | - Yu Meng
- State Key Laboratory of Satellite Ocean Environment Dynamics, Second Institute of Oceanography, Ministry of Natural Resources, Hangzhou 310012, China
| | - Sheng Lin
- State Key Laboratory of Satellite Ocean Environment Dynamics, Second Institute of Oceanography, Ministry of Natural Resources, Hangzhou 310012, China
| | - Yi Yu
- State Key Laboratory of Satellite Ocean Environment Dynamics, Second Institute of Oceanography, Ministry of Natural Resources, Hangzhou 310012, China
| | - Jingyuan Xi
- State Key Laboratory of Satellite Ocean Environment Dynamics, Second Institute of Oceanography, Ministry of Natural Resources, Hangzhou 310012, China
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30
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Jin H, Hou J, Qin X, Du X, Zheng G, Meng Y, Shu Z, Wei Y, Gong X. Predicting progression of white matter hyperintensity using coronary artery calcium score based on coronary CT angiography-feasibility and accuracy. Front Aging Neurosci 2023; 15:1256228. [PMID: 38020772 PMCID: PMC10667909 DOI: 10.3389/fnagi.2023.1256228] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2023] [Accepted: 10/30/2023] [Indexed: 12/01/2023] Open
Abstract
Objective Coronary artery disease (CAD) usually coexists with subclinical cerebrovascular diseases given the systematic nature of atherosclerosis. In this study, our objective was to predict the progression of white matter hyperintensity (WMH) and find its risk factors in CAD patients using the coronary artery calcium (CAC) score. We also investigated the relationship between the CAC score and the WMH volume in different brain regions. Methods We evaluated 137 CAD patients with WMH who underwent coronary computed tomography angiography (CCTA) and two magnetic resonance imaging (MRI) scans from March 2018 to February 2023. Patients were categorized into progressive (n = 66) and nonprogressive groups (n = 71) by the change in WMH volume from the first to the second MRI. We collected demographic, clinical, and imaging data for analysis. Independent risk factors for WMH progression were identified using logistic regression. Three models predicting WMH progression were developed and assessed. Finally, patients were divided into groups based on their total CAC score (0 to <100, 100 to 400, and > 400) to compare their WMH changes in nine brain regions. Results Alcohol abuse, maximum pericoronary fat attenuation index (pFAI), CT-fractional flow reserve (CT-FFR), and CAC risk grade independently predicted WMH progression (p < 0.05). The logistic regression model with all four variables performed best (training: AUC = 0.878, 95% CI: 0.790, 0.938; validation: AUC = 0.845, 95% CI: 0.734, 0.953). An increased CAC risk grade came with significantly higher WMH volume in the total brain, corpus callosum, and frontal, parietal and occipital lobes (p < 0.05). Conclusion This study demonstrated the application of the CCTA-derived CAC score to predict WMH progression in elderly people (≥60 years) with CAD.
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Affiliation(s)
- Hui Jin
- Department of Radiology, Center for Rehabilitation Medicine, Zhejiang Provincial People’s Hospital, Affiliated People’s Hospital, Hangzhou Medical College, Hangzhou, Zhejiang, China
- Bengbu Medical College, Bengbu, China
| | - Jie Hou
- Department of Radiology, Center for Rehabilitation Medicine, Zhejiang Provincial People’s Hospital, Affiliated People’s Hospital, Hangzhou Medical College, Hangzhou, Zhejiang, China
| | - Xue Qin
- Bengbu Medical College, Bengbu, China
| | | | - Guangying Zheng
- Department of Radiology, Center for Rehabilitation Medicine, Zhejiang Provincial People’s Hospital, Affiliated People’s Hospital, Hangzhou Medical College, Hangzhou, Zhejiang, China
| | - Yu Meng
- Department of Radiology, Center for Rehabilitation Medicine, Zhejiang Provincial People’s Hospital, Affiliated People’s Hospital, Hangzhou Medical College, Hangzhou, Zhejiang, China
| | - Zhenyu Shu
- Department of Radiology, Center for Rehabilitation Medicine, Zhejiang Provincial People’s Hospital, Affiliated People’s Hospital, Hangzhou Medical College, Hangzhou, Zhejiang, China
| | - Yuguo Wei
- Advanced Analytics, Global Medical Service, GE Healthcare, Hangzhou, China
| | - Xiangyang Gong
- Department of Radiology, Center for Rehabilitation Medicine, Zhejiang Provincial People’s Hospital, Affiliated People’s Hospital, Hangzhou Medical College, Hangzhou, Zhejiang, China
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31
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Meng Y, Yang W, Li J, Chai W. KIAA1429 facilitates progression of hepatocellular carcinoma by modulating m6A levels in HPN. Heliyon 2023; 9:e22084. [PMID: 38058614 PMCID: PMC10695992 DOI: 10.1016/j.heliyon.2023.e22084] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2023] [Revised: 11/01/2023] [Accepted: 11/03/2023] [Indexed: 12/08/2023] Open
Abstract
Background Most N6-methyladenosine (m6A)-associated modulatory proteins are involved in the pathogenesis of various cancers. The roles of m6A-related genes in liver hepatocellular carcinoma (LIHC) and the associated mechanisms remain unknown. Methods GEO and GEPIA2 databases were used to identify the m6A modification-related genes which were differentially expressed in LIHC and adjacent non-tumor tissues, and quantitative PCR was used to evaluate the expression of KIAA1429, a major m6A methyltransferase, in LIHC cells. The effect of KIAA1429 on the malignant phenotypes of LIHC cells was evaluated in vitro. The UALCAN, GEPIA, and GEO databases and western blotting assays were used to identify the target genes of KIAA1429. Results KIAA1429 expression was markedly elevated in LIHC tissues, and patients with LIHC who had high KIAA1429 expression had a worse prognosis than those who had low expression. KIAA1429 silencing attenuated LIHC metastasis and proliferation. KIAA142 regulates m6A levels in HPN to intensify LIHC progression. Conclusion Our study suggests a KIAA1429-HPN modulatory model based on m6A modifications, that offers insights into the occurrence and development of LIHC.
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Affiliation(s)
- Yu Meng
- The First Department of Hepatobiliary and Pancreatic Surgery, Cangzhou Central Hospital, Cangzhou, China
| | - Wenwen Yang
- The Department of Nursing, Cangzhou Medical College, Cangzhou, China
| | - Jinchao Li
- The First Department of Hepatobiliary and Pancreatic Surgery, Cangzhou Central Hospital, Cangzhou, China
| | - Wei Chai
- The First Department of Hepatobiliary and Pancreatic Surgery, Cangzhou Central Hospital, Cangzhou, China
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Run Zheng Z, Ma K, Yue Li H, Meng Y. High-fat diet alters immune cells in spleen, kidney and tumor and impacts the volume growth of renal cell carcinoma. Int Immunopharmacol 2023; 124:110982. [PMID: 37862740 DOI: 10.1016/j.intimp.2023.110982] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2023] [Revised: 09/07/2023] [Accepted: 09/21/2023] [Indexed: 10/22/2023]
Abstract
Renal cell carcinoma (RCC) is strongly associated with abnormal or excessive fat deposition in the body, whose processes include persistent adipose inflammation and other disturbances with the development and function of immune cells. Researchers have recently become more and more interested in understanding how high-fat diet (HFD) affects the development and course of RCC by causing immunological dysfunction. Consequently, we explore the effect of HFD on the changes of immune cell groups in spleens, normal kidneys and tumors, mainly revealing the changes of T cells, B cells and NK cells, and further preliminarily exploring the changes of NK cell phenotype. Our findings demonstrate that: (1) HFD impacts the volume growth of ACHN tumor; (2) HFD increases the frequency of CD3+ T cell in spleen, normal kidney, and in tumor, while there are no significant change in CD19+ B cell in spleen, normal kidney and tumor; (3) HFD increases the frequency of NKp46+ NK cell in tumor, while HFD decrease the frequency of NKp46+ NK cell in spleen; (4) HFD increases the frequency of cNK in spleen, normal kidney and tumor, while HFD decreases the frequency of ILC1 in spleen, normal kidney and tumor. These data will open up new avenues for immunotherapy in individuals with obese renal cell carcinoma.
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Affiliation(s)
- Zi Run Zheng
- Department of Nephrology, The First Affiliated Hospital of Jinan University, No. 613 Huangpu West Road, Guangzhou 510630 China
| | - Ke Ma
- Department of Nephrology, The First Affiliated Hospital of Jinan University, No. 613 Huangpu West Road, Guangzhou 510630 China
| | - Hong Yue Li
- Department of Nephrology, The First Affiliated Hospital of Jinan University, No. 613 Huangpu West Road, Guangzhou 510630 China
| | - Yu Meng
- Department of Nephrology, The First Affiliated Hospital of Jinan University, No. 613 Huangpu West Road, Guangzhou 510630 China; Nephrology Department, The Fifth Affiliated Hospital (Heyuan Shenhe People's Hospital), Jinan University Heyuan, 517000, China; Guangdong Provincial Key Laboratory of Spine and Spinal Cord Reconstruction, The Fifth Affiliated Hospital (Heyuan Shenhe People's Hospital), Jinan University Heyuan, 517000, China.
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Saiar A, LaNou E, Meng Y, Ellis W. Revisiting the relationship between examination pass rate and eligibility pathway among candidates for pharmacist board certification. J Am Pharm Assoc (2003) 2023; 63:1785-1790. [PMID: 37271347 DOI: 10.1016/j.japh.2023.05.022] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2023] [Revised: 05/26/2023] [Accepted: 05/30/2023] [Indexed: 06/06/2023]
Abstract
BACKGROUND Pharmacists with specialized knowledge and skills are able to seek board certification from the Board of Pharmacy Specialties (BPS). In 2018, BPS conducted research to evaluate the relationship between eligibility pathways (i.e., completion of a postgraduate year 2 [PGY-2] specialty residency, completion of a postgraduate year 1 [PGY-1] residency plus 2 years of practice experience, or 4 years of practice experience) and certification examination pass rate. The study found statistically significant differences in pass rate based on eligibility criteria across all 6 specialties studied. There was a trend for higher pass rates in cohorts of examinees eligible for board certification based on completion of postgraduate residency training. OBJECTIVES This study aimed to compare examination pass rates among different eligibility cohorts for board certification in recognized pharmacy practice specialties and compare contemporary findings with previously published findings. DESIGN This cross-sectional study was conducted on data retrieved from BPS certification applications and examination administration records. SETTING AND PARTICIPANTS Examinees in the United States and Canada for 9 BPS certification programs. OUTCOME MEASURES A chi-square analysis was used to identify whether there were differences in pass rate among eligibility pathway cohorts. RESULTS A total of 14,894 examinees met inclusion criteria; 6312 (42.4%) of the 14,894 examinees analyzed were eligible via practice experience, 5768 (38.7%) were eligible via PGY-1 completion, and 2814 (18.9%) were eligible via PGY-2 completion. A statistically significant difference was found for the relationship between pass rate and eligibility pathway for 8 of 9 BPS certification examinations analyzed (significant: ambulatory care pharmacy, critical care pharmacy, cardiology pharmacy, infectious diseases pharmacy, oncology pharmacy, psychiatric pharmacy, pediatric pharmacy, pharmacotherapy; not significant: solid organ transplantation pharmacy). Post hoc analyses showed that, in most cases, the PGY-2 eligibility cohort outperformed the PGY-1 eligibility cohort, which in turn outperformed the practice experience pathway cohort. CONCLUSION Analysis of contemporary BPS certification examination administration data yields statistically significant differences among the pass rates by eligibility pathway, replicating previous findings and expanding the scope of the analysis.
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Kong D, Zhang H, Zhao X, Meng Y, Chai W, Wang Z. Effect of laparoscopic pancreaticoduodenectomy on the incidence of surgical-site wound infection: A meta-analysis. Int Wound J 2023; 20:3682-3689. [PMID: 37277912 PMCID: PMC10588349 DOI: 10.1111/iwj.14259] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2023] [Revised: 05/10/2023] [Accepted: 05/20/2023] [Indexed: 06/07/2023] Open
Abstract
A meta-analysis was conducted to assess the impact of robotic and laparoscopic pancreaticoduodenectomies on postoperative surgical site wound infections. A comprehensive computerised search of databases, such as PubMed, EMBASE, Cochrane Library, Web of Science, China National Knowledge Infrastructure, Chinese Biomedical Literature Database, and Wanfang Data, was performed to identify studies comparing robotic pancreaticoduodenectomy (PD) with laparoscopicPD. Relevant studies were searched from the inception of the database construction until April 2023. The meta-analysis outcomes were analysed using odds ratios (OR) with corresponding 95% confidence intervals (CI). The RevMan 5.4 software was used for the meta-analysis. The findings of the meta-analysis showed that patients who underwent laparoscopic PD had a significantly lower incidence of surgical-site wound (16.52% vs. 18.92%, OR: 0.78, 95% CI: 0.68-0.90, P = .0005), superficial wound (3.65% vs. 7.57%, OR: 0.51, 95% CI: 0.39-0.68, P < .001), and deep wound infections (1.09% vs. 2.23%, OR: 0.53, 95% CI: 0.34-0.85, P = .008) than those who received robotic PD. However, because of variations in sample size between studies, some studies suffered from methodological quality deficiencies. Therefore, further validation of this result is needed in future studies with higher quality and larger sample sizes.
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Affiliation(s)
- De‐Shuai Kong
- Department of Biliary‐pancreatic Surgery ICangzhou Central HospitalCangzhouHebeiChina
| | - Heng‐Le Zhang
- Graduate School of Hebei Medical UniversityShijiazhuangHebeiChina
| | - Xiu‐Lei Zhao
- Department of Biliary‐pancreatic Surgery ICangzhou Central HospitalCangzhouHebeiChina
| | - Yu Meng
- Department of Biliary‐pancreatic Surgery ICangzhou Central HospitalCangzhouHebeiChina
| | - Wei Chai
- Department of Biliary‐pancreatic Surgery ICangzhou Central HospitalCangzhouHebeiChina
| | - Zhen‐Yong Wang
- Department of Biliary‐pancreatic Surgery ICangzhou Central HospitalCangzhouHebeiChina
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Wang H, Meng Y, Wang H, Wu Z, Guan X. The application of integrating comprehensive evaluation and clustering algorithms weighted by maximal information coefficient for urban flood susceptibility. J Environ Manage 2023; 344:118846. [PMID: 37666079 DOI: 10.1016/j.jenvman.2023.118846] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/08/2023] [Revised: 08/02/2023] [Accepted: 08/17/2023] [Indexed: 09/06/2023]
Abstract
Different sub-regions of Zhengzhou city have various levels of sensitivity to flood due to the impact of urbanization. Thus, an accurate flood sensitivities assessment is a key tool for flood prevention and urban planning and development. To successfully link the urban flood sensitivity assessment with the real flood situation, a method combining clustering algorithm with comprehensive evaluation is presented. The proposed method is not affected by the classification standard of sensitivities levels and has a small and undemanding demand for flood data. First, Maximal Information Coefficient between conditional factors and flood is employed to determine the weight. Then, the different results are obtained by three clustering algorithms. Finally, a four-layer evaluation structure weighted by analytic hierarchy process is established to select the best flood susceptibility map. A case study in the Zhengzhou city, China shows that the positive scale amplification strategy is relatively best and the flood sensitivity of sub-regions in Zhengzhou city should be divided into four levels obtained by K-Means clustering. Hence, it supplies the valuable insights for the urban planning and flood mitigation.
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Affiliation(s)
- Hongfa Wang
- School of Water Conservancy and Transportation, Zhengzhou University, Zhengzhou, Henan, 450001, PR China; Yellow River Laboratory, Zhengzhou University, Zhengzhou, Henan, 450001, PR China
| | - Yu Meng
- School of Water Conservancy and Transportation, Zhengzhou University, Zhengzhou, Henan, 450001, PR China; Yellow River Laboratory, Zhengzhou University, Zhengzhou, Henan, 450001, PR China
| | - Huiliang Wang
- School of Water Conservancy and Transportation, Zhengzhou University, Zhengzhou, Henan, 450001, PR China; Yellow River Laboratory, Zhengzhou University, Zhengzhou, Henan, 450001, PR China
| | - Zening Wu
- School of Water Conservancy and Transportation, Zhengzhou University, Zhengzhou, Henan, 450001, PR China; Yellow River Laboratory, Zhengzhou University, Zhengzhou, Henan, 450001, PR China
| | - Xinjian Guan
- School of Water Conservancy and Transportation, Zhengzhou University, Zhengzhou, Henan, 450001, PR China; Yellow River Laboratory, Zhengzhou University, Zhengzhou, Henan, 450001, PR China.
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Wang J, Meng Y, Han S, Hu C, Lu Y, Wu P, Han L, Xu Y, Xu K. Predictive value of total ischaemic time and T1 mapping after emergency percutaneous coronary intervention in acute ST-segment elevation myocardial infarction. Clin Radiol 2023; 78:e724-e731. [PMID: 37460337 DOI: 10.1016/j.crad.2023.06.010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2022] [Revised: 04/05/2023] [Accepted: 06/12/2023] [Indexed: 09/03/2023]
Abstract
AIM To investigate the predictive value of ischaemic time and cardiac magnetic resonance imaging (CMRI) T1 mapping in acute ST-segment elevation myocardial infarction (STEMI) patients undergoing primary percutaneous coronary intervention (PCI). MATERIALS AND METHODS A total of 127 patients with STEMI treated by primary PCI were studied. All patients underwent CMRI with native T1 and extracellular volume (ECV) measurement, 61 of whom also had 4-month follow-up data. The total ischaemic (symptom onset to balloon, S2B) time expressed in minutes was recorded. CMRI cine, T1 mapping, and late gadolinium enhancement (LGE) images were analysed to evaluate left ventricular (LV) function, T1 value, ECV, and myocardial infract (MI) scar characteristics, respectively. The correlation between S2B time and T1 mapping was evaluated. The predictive values of S2B time and T1 mapping for large final infarct size were estimated. RESULTS The incidence of microvascular obstruction (MVO) increased with the prolongation of ischaemia time. Regardless of MVO or not, ECV in myocardial infarction (ECVMI) was significantly correlated with S2B time (r=0.61, p<0.001), while native T1 in MI (T1MI) was not (r=-0.19, p=0.029). In the 4-month follow-up, native T1MI was improved (1385.1 ± 90.4 versus 1288.6 ± 74 ms, p<0.001). Furthermore, ECVMI was independently associated with final larger infarct size (AUC = 0.89, 95% confidence interval [CI] = 0.81-0.98, p<0.001) in multivariable regression analysis. CONCLUSION ECVMI was correlated with total ischaemic time and was an independent predictor of final larger infarct size.
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Affiliation(s)
- J Wang
- Department of Radiology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, China
| | - Y Meng
- Department of Radiology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, China
| | - S Han
- Department of Radiology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, China
| | - C Hu
- Department of Radiology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, China
| | - Y Lu
- Department of Cardiac Care Unit, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, China
| | - P Wu
- Philips Healthcare, Shanghai, China
| | - L Han
- Philips Healthcare, Shanghai, China
| | - Y Xu
- Philips Healthcare, Guangzhou, China
| | - K Xu
- Department of Radiology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, China.
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Ma K, Liu JF, Zheng ZR, Li HY, Hu B, Meng Y. The polarization of M2 macrophages can be adjusted to alleviate renal injury by methylprednisolone in sepsis-AKI. Arch Biochem Biophys 2023; 747:109738. [PMID: 37696383 DOI: 10.1016/j.abb.2023.109738] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2023] [Revised: 08/21/2023] [Accepted: 09/03/2023] [Indexed: 09/13/2023]
Abstract
Acute kidney injury in sepsis patients has an extreme mortality rate in clinical. It obviously seems that immune cells, for example, macrophages are involved with this process. Macrophages, as highly important immune cells, play a significant role in the development of human kidney diseases. But the specific role of macrophages in this process is still unclear. Under different timeline points, we surprisingly found that macrophages had the most dynamic changes in acute kidney injury immune cells. Based on macrophages' functions, they are primarily classified into M1 macrophages (pro-inflammatory) and M2 macrophages (anti-inflammatory). The polarization of M2 macrophages is closely associated with the seriousness of sepsis-induced kidney injury, but how to modulate their polarization to alleviate sepsis-associated renal damage remains unknown. We discovered that the polarization of M2 macrophages after methylprednisolone injection can significantly alleviate acute kidney injury by reducing secreted cytokine. This study suggests that the proportion of macrophage subtypes can be regulated by methylprednisolone to alleviate acute kidney injury in sepsis to provide a new sight for a clinical to provide a promising strategy for renal injury caused.
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Affiliation(s)
- Ke Ma
- Department of Nephrology, The First Affiliated Hospital of Jinan University, Guangzhou, 510000, China; Institute of Nephrology, Jinan University, Guangzhou, 510632, China
| | - Jin-Feng Liu
- Department of Nephrology, The First Affiliated Hospital of Jinan University, Guangzhou, 510000, China; Institute of Nephrology, Jinan University, Guangzhou, 510632, China
| | - Zi-Run Zheng
- Department of Nephrology, The First Affiliated Hospital of Jinan University, Guangzhou, 510000, China; Institute of Nephrology, Jinan University, Guangzhou, 510632, China
| | - Hong-Yue Li
- Department of Nephrology, The First Affiliated Hospital of Jinan University, Guangzhou, 510000, China; Institute of Nephrology, Jinan University, Guangzhou, 510632, China
| | - Bo Hu
- Department of Nephrology, The First Affiliated Hospital of Jinan University, Guangzhou, 510000, China; Department of Nephrology, The Fifth Affiliated Hospital of Jinan University, Heyuan, 570000, China; Institute of Nephrology, Jinan University, Guangzhou, 510632, China.
| | - Yu Meng
- Department of Nephrology, The First Affiliated Hospital of Jinan University, Guangzhou, 510000, China; Department of Nephrology, The Fifth Affiliated Hospital of Jinan University, Heyuan, 570000, China; Institute of Nephrology, Jinan University, Guangzhou, 510632, China.
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Yu S, Zhong ZP, Fang Y, Patel RB, Li QP, Liu W, Li Z, Xu L, Sagona-Stophel S, Mer E, Thomas SE, Meng Y, Li ZP, Yang YZ, Wang ZA, Guo NJ, Zhang WH, Tranmer GK, Dong Y, Wang YT, Tang JS, Li CF, Walmsley IA, Guo GC. A universal programmable Gaussian boson sampler for drug discovery. Nat Comput Sci 2023; 3:839-848. [PMID: 38177757 PMCID: PMC10768638 DOI: 10.1038/s43588-023-00526-y] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/16/2022] [Accepted: 09/01/2023] [Indexed: 01/06/2024]
Abstract
Gaussian boson sampling (GBS) has the potential to solve complex graph problems, such as clique finding, which is relevant to drug discovery tasks. However, realizing the full benefits of quantum enhancements requires large-scale quantum hardware with universal programmability. Here we have developed a time-bin-encoded GBS photonic quantum processor that is universal, programmable and software-scalable. Our processor features freely adjustable squeezing parameters and can implement arbitrary unitary operations with a programmable interferometer. Leveraging our processor, we successfully executed clique finding on a 32-node graph, achieving approximately twice the success probability compared to classical sampling. As proof of concept, we implemented a versatile quantum drug discovery platform using this GBS processor, enabling molecular docking and RNA-folding prediction tasks. Our work achieves GBS circuitry with its universal and programmable architecture, advancing GBS toward use in real-world applications.
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Affiliation(s)
- Shang Yu
- Research Center for Quantum Sensing, Zhejiang Lab, Hangzhou, People's Republic of China.
- Quantum Optics and Laser Science, Blackett Laboratory, Imperial College London, London, UK.
- CAS Key Laboratory of Quantum Information, University of Science and Technology of China, Hefei, China.
- CAS Center For Excellence in Quantum Information and Quantum Physics, University of Science and Technology of China, Hefei, China.
| | - Zhi-Peng Zhong
- Research Center for Quantum Sensing, Zhejiang Lab, Hangzhou, People's Republic of China
| | - Yuhua Fang
- College of Pharmacy, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, Manitoba, Canada
| | - Raj B Patel
- Quantum Optics and Laser Science, Blackett Laboratory, Imperial College London, London, UK.
| | - Qing-Peng Li
- Research Center for Quantum Sensing, Zhejiang Lab, Hangzhou, People's Republic of China
| | - Wei Liu
- CAS Key Laboratory of Quantum Information, University of Science and Technology of China, Hefei, China
- CAS Center For Excellence in Quantum Information and Quantum Physics, University of Science and Technology of China, Hefei, China
| | - Zhenghao Li
- Quantum Optics and Laser Science, Blackett Laboratory, Imperial College London, London, UK
| | - Liang Xu
- Research Center for Quantum Sensing, Zhejiang Lab, Hangzhou, People's Republic of China
| | - Steven Sagona-Stophel
- Quantum Optics and Laser Science, Blackett Laboratory, Imperial College London, London, UK
| | - Ewan Mer
- Quantum Optics and Laser Science, Blackett Laboratory, Imperial College London, London, UK
| | - Sarah E Thomas
- Quantum Optics and Laser Science, Blackett Laboratory, Imperial College London, London, UK
| | - Yu Meng
- CAS Key Laboratory of Quantum Information, University of Science and Technology of China, Hefei, China
- CAS Center For Excellence in Quantum Information and Quantum Physics, University of Science and Technology of China, Hefei, China
| | - Zhi-Peng Li
- CAS Key Laboratory of Quantum Information, University of Science and Technology of China, Hefei, China
- CAS Center For Excellence in Quantum Information and Quantum Physics, University of Science and Technology of China, Hefei, China
| | - Yuan-Ze Yang
- CAS Key Laboratory of Quantum Information, University of Science and Technology of China, Hefei, China
- CAS Center For Excellence in Quantum Information and Quantum Physics, University of Science and Technology of China, Hefei, China
| | - Zhao-An Wang
- CAS Key Laboratory of Quantum Information, University of Science and Technology of China, Hefei, China
- CAS Center For Excellence in Quantum Information and Quantum Physics, University of Science and Technology of China, Hefei, China
| | - Nai-Jie Guo
- CAS Key Laboratory of Quantum Information, University of Science and Technology of China, Hefei, China
- CAS Center For Excellence in Quantum Information and Quantum Physics, University of Science and Technology of China, Hefei, China
| | - Wen-Hao Zhang
- CAS Key Laboratory of Quantum Information, University of Science and Technology of China, Hefei, China
- CAS Center For Excellence in Quantum Information and Quantum Physics, University of Science and Technology of China, Hefei, China
| | - Geoffrey K Tranmer
- College of Pharmacy, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, Manitoba, Canada
| | - Ying Dong
- Research Center for Quantum Sensing, Zhejiang Lab, Hangzhou, People's Republic of China
| | - Yi-Tao Wang
- CAS Key Laboratory of Quantum Information, University of Science and Technology of China, Hefei, China.
- CAS Center For Excellence in Quantum Information and Quantum Physics, University of Science and Technology of China, Hefei, China.
| | - Jian-Shun Tang
- CAS Key Laboratory of Quantum Information, University of Science and Technology of China, Hefei, China.
- CAS Center For Excellence in Quantum Information and Quantum Physics, University of Science and Technology of China, Hefei, China.
- Hefei National Laboratory, University of Science and Technology of China, Hefei, China.
| | - Chuan-Feng Li
- CAS Key Laboratory of Quantum Information, University of Science and Technology of China, Hefei, China.
- CAS Center For Excellence in Quantum Information and Quantum Physics, University of Science and Technology of China, Hefei, China.
- Hefei National Laboratory, University of Science and Technology of China, Hefei, China.
| | - Ian A Walmsley
- Quantum Optics and Laser Science, Blackett Laboratory, Imperial College London, London, UK
| | - Guang-Can Guo
- CAS Key Laboratory of Quantum Information, University of Science and Technology of China, Hefei, China
- CAS Center For Excellence in Quantum Information and Quantum Physics, University of Science and Technology of China, Hefei, China
- Hefei National Laboratory, University of Science and Technology of China, Hefei, China
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Wang X, Hu D, Liao F, Chen S, Meng Y, Dai J, Dong TTX, Lao Z, Yu L, Liang Y, Lai X, Tsim KWK, Li G. Comparative proteomic analysis of edible bird's nest from different origins. Sci Rep 2023; 13:15859. [PMID: 37739981 PMCID: PMC10516954 DOI: 10.1038/s41598-023-41851-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2022] [Accepted: 08/31/2023] [Indexed: 09/24/2023] Open
Abstract
Edible bird's nest (EBN) mainly made of saliva that secreted by a variety of swiftlets is a kind of precious traditional Chinese medicine. EBNs from different biological and geographical origins exhibit varieties in morphology, material composition, nutritive value and commercial value. Here, we collected four different EBN samples from Huaiji, China (Grass EBN), Nha Trang, Vietnam (Imperial EBN) and East Kalimantan, Indonesia (White EBN and Feather EBN) respectively, and applied label-free quantitative MS-based proteomics technique to identify its protein composition. First, phylogenetic analysis was performed based on cytb gene to identify its biological origin. Second, a total of 37 proteins of EBNs were identified, among which there were six common proteins that detected in all samples and exhibited relatively higher content. Gene ontology analysis revealed the possible function of EBN proteins, and principal component analysis and hierarchical clustering analysis based on 37 proteins were performed to compare the difference of various EBNs. In summary, our study deciphered the common and characteristic protein components of EBNs of different origins and described their possible functions by GO enrichment analysis, which helps to establish an objective and reliable quality evaluation system.
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Affiliation(s)
- Xianyang Wang
- State Key Laboratory of Traditional Chinese Medicine Syndrome, Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Dingwen Hu
- College of Life Science, Wuhan University, Wuhan, China
| | - Feng Liao
- State Key Laboratory of Traditional Chinese Medicine Syndrome, Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Sitai Chen
- State Key Laboratory of Traditional Chinese Medicine Syndrome, Guangzhou University of Chinese Medicine, Guangzhou, China
| | | | - Jie Dai
- State Key Laboratory of Traditional Chinese Medicine Syndrome, Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Tina Ting Xia Dong
- Division of Life Science and Center for Chinese Medicine, The Hong Kong University of Science and Technology, Hong Kong, China
| | - Zizhao Lao
- Mathematical Engineering Academy of Chinese Medicine, Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Liangwen Yu
- State Key Laboratory of Traditional Chinese Medicine Syndrome, Guangzhou University of Chinese Medicine, Guangzhou, China
| | | | - Xiaoping Lai
- Mathematical Engineering Academy of Chinese Medicine, Guangzhou University of Chinese Medicine, Guangzhou, China.
| | - Karl Wah Keung Tsim
- Division of Life Science and Center for Chinese Medicine, The Hong Kong University of Science and Technology, Hong Kong, China.
| | - Geng Li
- State Key Laboratory of Traditional Chinese Medicine Syndrome, Guangzhou University of Chinese Medicine, Guangzhou, China.
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Zeng XD, Yang YZ, Guo NJ, Li ZP, Wang ZA, Xie LK, Yu S, Meng Y, Li Q, Xu JS, Liu W, Wang YT, Tang JS, Li CF, Guo GC. Reflective dielectric cavity enhanced emission from hexagonal boron nitride spin defect arrays. Nanoscale 2023; 15:15000-15007. [PMID: 37665054 DOI: 10.1039/d3nr03486k] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/05/2023]
Abstract
Among the various kinds of spin defects in hexagonal boron nitride (hBN), the negatively charged boron vacancy (VB-) spin defect that can be site-specifically generated is undoubtedly a potential candidate for quantum sensing, but its low quantum efficiency restricts its practical applications. Here, we demonstrate a robust enhancement structure called reflective dielectric cavity (RDC) with advantages including easy on-chip integration, convenient processing, low cost and suitable broad-spectrum enhancement for VB- defects. In the experiment, we used a metal reflective layer under the hBN flakes, filled with a transition dielectric layer in the middle, and adjusted the thickness of the dielectric layer to achieve the best coupling between RDC and spin defects in hBN. A remarkable 11-fold enhancement in the fluorescence intensity of VB- spin defects in hBN flakes can be achieved. By designing the metal layer into a waveguide structure, high-contrast optically detected magnetic resonance (ODMR) signal (∼21%) can be obtained. The oxide layer of the RDC can be used as the integrated material to implement secondary processing of micro-nano photonic devices, which means that it can be combined with other enhancement structures to achieve stronger enhancement. This work has guiding significance for realizing the on-chip integration of spin defects in two-dimensional materials.
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Affiliation(s)
- Xiao-Dong Zeng
- CAS Key Laboratory of Quantum Information, University of Science and Technology of China, Hefei, Anhui 230026, China.
- CAS Center For Excellence in Quantum Information and Quantum Physics, University of Science and Technology of China, Hefei, Anhui 230026, China
| | - Yuan-Ze Yang
- CAS Key Laboratory of Quantum Information, University of Science and Technology of China, Hefei, Anhui 230026, China.
- CAS Center For Excellence in Quantum Information and Quantum Physics, University of Science and Technology of China, Hefei, Anhui 230026, China
| | - Nai-Jie Guo
- CAS Key Laboratory of Quantum Information, University of Science and Technology of China, Hefei, Anhui 230026, China.
- CAS Center For Excellence in Quantum Information and Quantum Physics, University of Science and Technology of China, Hefei, Anhui 230026, China
| | - Zhi-Peng Li
- CAS Key Laboratory of Quantum Information, University of Science and Technology of China, Hefei, Anhui 230026, China.
- CAS Center For Excellence in Quantum Information and Quantum Physics, University of Science and Technology of China, Hefei, Anhui 230026, China
| | - Zhao-An Wang
- CAS Key Laboratory of Quantum Information, University of Science and Technology of China, Hefei, Anhui 230026, China.
- CAS Center For Excellence in Quantum Information and Quantum Physics, University of Science and Technology of China, Hefei, Anhui 230026, China
| | - Lin-Ke Xie
- CAS Key Laboratory of Quantum Information, University of Science and Technology of China, Hefei, Anhui 230026, China.
- CAS Center For Excellence in Quantum Information and Quantum Physics, University of Science and Technology of China, Hefei, Anhui 230026, China
| | - Shang Yu
- CAS Key Laboratory of Quantum Information, University of Science and Technology of China, Hefei, Anhui 230026, China.
- CAS Center For Excellence in Quantum Information and Quantum Physics, University of Science and Technology of China, Hefei, Anhui 230026, China
| | - Yu Meng
- CAS Key Laboratory of Quantum Information, University of Science and Technology of China, Hefei, Anhui 230026, China.
- CAS Center For Excellence in Quantum Information and Quantum Physics, University of Science and Technology of China, Hefei, Anhui 230026, China
| | - Qiang Li
- Institute of Advanced Semiconductors and Zhejiang Provincial Key Laboratory of Power Semiconductor Materials and Devices, ZJU-Hangzhou Global Scientific and Technological Innovation Center, Hangzhou, Zhejiang 311200, China
- State Key Laboratory of Silicon Materials and Advanced Semiconductors and School of Materials Science and Engineering, Zhejiang University, Hangzhou 310027, China
| | - Jin-Shi Xu
- CAS Key Laboratory of Quantum Information, University of Science and Technology of China, Hefei, Anhui 230026, China.
- CAS Center For Excellence in Quantum Information and Quantum Physics, University of Science and Technology of China, Hefei, Anhui 230026, China
- Hefei National Laboratory, University of Science and Technology of China, Hefei, Anhui 230088, China
| | - Wei Liu
- CAS Key Laboratory of Quantum Information, University of Science and Technology of China, Hefei, Anhui 230026, China.
- CAS Center For Excellence in Quantum Information and Quantum Physics, University of Science and Technology of China, Hefei, Anhui 230026, China
| | - Yi-Tao Wang
- CAS Key Laboratory of Quantum Information, University of Science and Technology of China, Hefei, Anhui 230026, China.
- CAS Center For Excellence in Quantum Information and Quantum Physics, University of Science and Technology of China, Hefei, Anhui 230026, China
| | - Jian-Shun Tang
- CAS Key Laboratory of Quantum Information, University of Science and Technology of China, Hefei, Anhui 230026, China.
- CAS Center For Excellence in Quantum Information and Quantum Physics, University of Science and Technology of China, Hefei, Anhui 230026, China
- Hefei National Laboratory, University of Science and Technology of China, Hefei, Anhui 230088, China
| | - Chuan-Feng Li
- CAS Key Laboratory of Quantum Information, University of Science and Technology of China, Hefei, Anhui 230026, China.
- CAS Center For Excellence in Quantum Information and Quantum Physics, University of Science and Technology of China, Hefei, Anhui 230026, China
- Hefei National Laboratory, University of Science and Technology of China, Hefei, Anhui 230088, China
| | - Guang-Can Guo
- CAS Key Laboratory of Quantum Information, University of Science and Technology of China, Hefei, Anhui 230026, China.
- CAS Center For Excellence in Quantum Information and Quantum Physics, University of Science and Technology of China, Hefei, Anhui 230026, China
- Hefei National Laboratory, University of Science and Technology of China, Hefei, Anhui 230088, China
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Zhao FF, Pan YL, Jin H, Wu YY, Yan YT, Meng Y, Gong XY. Retrolaminar migration as a complication of intraocular silicone oil injection detected on unenhanced CT. Int J Ophthalmol 2023; 16:1521-1526. [PMID: 37724262 PMCID: PMC10475618 DOI: 10.18240/ijo.2023.09.20] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2023] [Accepted: 07/05/2023] [Indexed: 09/20/2023] Open
Abstract
AIM To describe the clinical and radiologic features of retrolaminar migration silicone oil (SiO) and observe the dynamic position of ventricular oil accumulation in supine and prone. METHODS For this retrospective study, 29 patients who had a history of SiO injection treatment and underwent unenhanced head computed tomography (CT) were included from January 2019 to October 2022. The patients were divided into migration-positive and negative groups. Clinical history and CT features were compared using Whitney U and Fisher's exact tests. The dynamic position of SiO was observed within the ventricular system in supine and prone. CT images were visually assessed for SiO migration along the retrolaminar involving pathways for vision (optic nerve, chiasm, and tract) and ventricular system. RESULTS Intraocular SiO migration was found in 5 of the 29 patients (17.24%), with SiO at the optic nerve head (n=1), optic nerve (n=4), optic chiasm (n=1), optic tract (n=1), and within lateral ventricles (n=1). The time interval between SiO injection and CT examination of migration-positive cases was significantly higher than that of migration-negative patients (22.8±16.5mo vs 13.1±2.6mo, P<0.001). The hyperdense lesion located in the frontal horns of the right lateral ventricle migrated to the fourth ventricle when changing the position from supine to prone. CONCLUSION Although SiO retrolaminar migration is unusual, the clinician and radiologist should be aware of migration routes. The supine combined with prone examination is the first-choice method to confirm the presence of SiO in the ventricular system.
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Affiliation(s)
- Fan-Fan Zhao
- Center for Rehabilitation Medicine, Department of Radiology, Zhejiang Provincial People's Hospital (Affiliated People's Hospital), Hangzhou Medical College, Hangzhou 310014, Zhejiang Province, China
| | - Ya-Ling Pan
- Center for Rehabilitation Medicine, Department of Radiology, Zhejiang Provincial People's Hospital (Affiliated People's Hospital), Hangzhou Medical College, Hangzhou 310014, Zhejiang Province, China
| | - Hui Jin
- Center for Rehabilitation Medicine, Department of Radiology, Zhejiang Provincial People's Hospital (Affiliated People's Hospital), Hangzhou Medical College, Hangzhou 310014, Zhejiang Province, China
| | - Yang-Yang Wu
- Center for Rehabilitation Medicine, Department of Ophthalmology, Zhejiang Provincial People's Hospital (Affiliated People's Hospital), Hangzhou Medical College, Hangzhou 310014, Zhejiang Province, China
| | - Yu-Ting Yan
- Center for Rehabilitation Medicine, Department of Radiology, Zhejiang Provincial People's Hospital (Affiliated People's Hospital), Hangzhou Medical College, Hangzhou 310014, Zhejiang Province, China
| | - Yu Meng
- Center for Rehabilitation Medicine, Department of Radiology, Zhejiang Provincial People's Hospital (Affiliated People's Hospital), Hangzhou Medical College, Hangzhou 310014, Zhejiang Province, China
| | - Xiang-Yang Gong
- Center for Rehabilitation Medicine, Department of Radiology, Zhejiang Provincial People's Hospital (Affiliated People's Hospital), Hangzhou Medical College, Hangzhou 310014, Zhejiang Province, China
- Institute of Artificial Intelligence and Remote Imaging, Hangzhou Medical College, Hangzhou 310014, Zhejiang Province, China
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Meng Y, Feng X, Liu C, Wang T, Zou Z. First-principle calculation of the η c→2γ decay width from lattice QCD. Sci Bull (Beijing) 2023; 68:1880-1885. [PMID: 37550147 DOI: 10.1016/j.scib.2023.07.041] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2023] [Revised: 07/02/2023] [Accepted: 07/20/2023] [Indexed: 08/09/2023]
Abstract
We perform a lattice QCD calculation of the ηc→2γ decay width using a model-independent method that requires no momentum extrapolation of the off-shell form factors. This method also provides a straightforward and simple way to examine the finite-volume effects. The calculation is accomplished using Nf=2 twisted mass fermion ensembles. The statistically significant excited-state effects are observed and eliminated using a multi-state fit. The impact of fine-tuning the charm quark mass is also examined and confirmed to be well-controlled. Finally, using three lattice spacings for the continuum extrapolation, we obtain the decay width [Formula: see text] keV, which differs significantly from the Particle Data Group's reported value of [Formula: see text] keV (2.9σ tension). We provide insight into the comparison between our findings, previous theoretical predictions, and experimental measurements.
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Affiliation(s)
- Yu Meng
- School of Physics and Microelectronics, Zhengzhou University, Zhengzhou 450001, China.
| | - Xu Feng
- School of Physics, Peking University, Beijing 100871, China; Center for High Energy Physics, Peking University, Beijing 100871, China; Collaborative Innovation Center of Quantum Matter, Beijing 100871, China; State Key Laboratory of Nuclear Physics and Technology, Peking University, Beijing 100871, China.
| | - Chuan Liu
- School of Physics, Peking University, Beijing 100871, China; Center for High Energy Physics, Peking University, Beijing 100871, China; Collaborative Innovation Center of Quantum Matter, Beijing 100871, China
| | - Teng Wang
- School of Physics, Peking University, Beijing 100871, China
| | - Zuoheng Zou
- School of Physics, Peking University, Beijing 100871, China
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Liu S, Shi C, Meng H, Meng Y, Gong X, Chen X, Tao L. Cognitive control subprocess deficits and compensatory modulation mechanisms in patients with frontal lobe injury revealed by EEG markers: a basic study to guide brain stimulation. Gen Psychiatr 2023; 36:e101144. [PMID: 37720910 PMCID: PMC10503333 DOI: 10.1136/gpsych-2023-101144] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/09/2023] [Accepted: 08/22/2023] [Indexed: 09/19/2023] Open
Abstract
Background Frontal lobe injury (FLI) is related to cognitive control impairments, but the influences of FLI on the internal subprocesses of cognitive control remain unclear. Aims We sought to identify specific biomarkers for long-term dysfunction or compensatory modulation in different cognitive control subprocesses. Methods A retrospective case-control study was conducted. Event-related potentials (ERP), oscillations and functional connectivity were used to analyse electroencephalography (EEG) data from 12 patients with unilateral frontal lobe injury (UFLI), 12 patients with bilateral frontal lobe injury (BFLI) and 26 healthy controls (HCs) during a Go/NoGo task, which included several subprocesses: perceptual processing, anticipatory preparation, conflict monitoring and response decision. Results Compared with the HC group, N2 (the second negative peak in the averaged ERP waveform) latency, and frontal and parietal oscillations were decreased only in the BFLI group, whereas P3 (the third positive peak in the averaged ERP waveform) amplitudes and sensorimotor oscillations were decreased in both patient groups. The functional connectivity of the four subprocesses was as follows: alpha connections of posterior networks in the BFLI group were lower than in the HC and UFLI groups, and these alpha connections were negatively correlated with neuropsychological tests. Theta connections of the dorsal frontoparietal network in the bilateral hemispheres of the BFLI group were lower than in the HC and UFLI groups, and these connections in the uninjured hemisphere of the UFLI group were higher than in the HC group, which were negatively correlated with behavioural performances. Delta and theta connections of the midfrontal-related networks in the BFLI group were lower than in the HC group. Theta across-network connections in the HC group were higher than in the BFLI group but lower than in the UFLI group. Conclusions The enhancement of low-frequency connections reflects compensatory mechanisms. In contrast, alpha connections are the opposite, therefore revealing more abnormal neural activity and less compensatory connectivity as the severity of injury increases. The nodes of the above networks may serve as stimulating targets for early treatment to restore corresponding functions. EEG biomarkers can measure neuromodulation effects in heterogeneous patients.
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Affiliation(s)
- Sinan Liu
- Department of Forensic Medicine, School of Basic Medicine and Biological Sciences, Affiliated Guangji Hospital, Soochow University, Suzhou, Jiangsu, China
- Department of Forensic Medicine, Institute of Forensic Medicine and Laboratory Medicine, Jining Medical University, Jining, Shandong, China
| | - Chaoqun Shi
- Department of Forensic Medicine, School of Basic Medicine and Biological Sciences, Affiliated Guangji Hospital, Soochow University, Suzhou, Jiangsu, China
- Department of Pathology, Forensic and Pathology Laboratory, Institute of Forensic Science, Jiaxing University, Jiaxing, Zhejiang, China
| | - Huanhuan Meng
- Department of Forensic Medicine, School of Basic Medicine and Biological Sciences, Affiliated Guangji Hospital, Soochow University, Suzhou, Jiangsu, China
- Department of Forensic Medicine, Institute of Forensic Medicine and Laboratory Medicine, Jining Medical University, Jining, Shandong, China
| | - Yu Meng
- Department of Forensic Medicine, School of Basic Medicine and Biological Sciences, Affiliated Guangji Hospital, Soochow University, Suzhou, Jiangsu, China
| | - Xin Gong
- Department of Forensic Medicine, School of Basic Medicine and Biological Sciences, Affiliated Guangji Hospital, Soochow University, Suzhou, Jiangsu, China
| | - Xiping Chen
- Department of Forensic Medicine, School of Basic Medicine and Biological Sciences, Affiliated Guangji Hospital, Soochow University, Suzhou, Jiangsu, China
| | - Luyang Tao
- Department of Forensic Medicine, School of Basic Medicine and Biological Sciences, Affiliated Guangji Hospital, Soochow University, Suzhou, Jiangsu, China
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Zhong J, Qiu M, Meng Y, Wang P, Chen S, Wang L. Single-cell multi-omics sequencing reveals the immunological disturbance underlying STAT3-V637M Hyper-IgE syndrome. Int Immunopharmacol 2023; 122:110624. [PMID: 37480751 DOI: 10.1016/j.intimp.2023.110624] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2023] [Revised: 06/29/2023] [Accepted: 07/06/2023] [Indexed: 07/24/2023]
Abstract
Hyper-IgE syndrome (HIES) is a primary immunodeficiency characterized by, among others, the excessive production of IgE and repetitive bacterial/fungal infections. Mutations in STAT3, a transcription factor that orchestrates immune responses, may cause HIES, but the underlying mechanisms are not fully understood. Here, we used multi-omic approaches to comprehensively decipher the immune disturbance in a male HIES patient harboring STAT3-V637M. In his peripheral blood mononuclear cell (PBMC) we found significant clonal expansion of CD8 T cells (with increased CD8 subunits expression, potentially enhancing responsiveness to MHC I molecules), but not in his CD4 T cells and B cells. Although his B cells exhibited a higher potential in producing immunoglobulin, elevated SPIC binding might bias the products toward IgE isotype. Immune checkpoint inhibitors, including CTLA4, LAG3, were overexpressed in his PBMC-CD4 T cells, accompanied by reduced CD28 and IL6ST (gp130) expression. In his CD4 T cells, integrative analyses predicted upstream transcription factors (including ETV6, KLF13, and RORA) for LAG3, IL6ST, and CD28, respectively. The down-regulation of phagocytosis and nitric oxide synthesis-related genes in his PBMC-monocytes seem to be the culprit of his disseminated bacterial/fungal infection. Counterintuitively, in his PBMC we predicted increased STAT3 binding in both naïve and mature CD4 compartments, although this was not observed in most of his PBMC. In his bronchoalveolar lavage fluid (BALF), we found two macrophage subtypes with anti-bacterial properties, which were identified by CXCL8/S100A8/S100A9, or SOD2, respectively. Together, we described how the immune cell landscape was disturbed in STAT3-V637M HIES, providing a resource for further studies.
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Affiliation(s)
- Jiacheng Zhong
- Shenzhen Institute of Respiratory Diseases, Department of Respiratory and Critical Care Medicine, Shenzhen People's Hospital, Shenzhen 518055, Guangdong, China; Shenzhen Key Laboratory of Respiratory Diseases, Shenzhen People's Hospital (The Second Clinical Medical College, Jinan University, The First Affiliated Hospital, Southern University of Science and Technology), Shenzhen 518055, Guangdong, China
| | - Minzhi Qiu
- Health Management Center, Shenzhen People's Hospital (The Second Clinical Medical College, Jinan University, the First Affiliated Hospital, Southern University of Science and Technology), Shenzhen 518020, China
| | - Yu Meng
- Department of Quality Control, Shenzhen People's Hospital, Shenzhen 518055, Guangdong, China
| | - Peizhong Wang
- Southern University of Science and Technology, Shenzhen 518055, Guangdong, China
| | - Shanze Chen
- Shenzhen Institute of Respiratory Diseases, Department of Respiratory and Critical Care Medicine, Shenzhen People's Hospital, Shenzhen 518055, Guangdong, China; Shenzhen Key Laboratory of Respiratory Diseases, Shenzhen People's Hospital (The Second Clinical Medical College, Jinan University, The First Affiliated Hospital, Southern University of Science and Technology), Shenzhen 518055, Guangdong, China.
| | - Lingwei Wang
- Shenzhen Institute of Respiratory Diseases, Department of Respiratory and Critical Care Medicine, Shenzhen People's Hospital, Shenzhen 518055, Guangdong, China; Shenzhen Key Laboratory of Respiratory Diseases, Shenzhen People's Hospital (The Second Clinical Medical College, Jinan University, The First Affiliated Hospital, Southern University of Science and Technology), Shenzhen 518055, Guangdong, China.
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Jin H, Qin X, Zhao F, Yan Y, Meng Y, Shu Z, Gong X. Is coronary artery calcium an independent risk factor for white matter hyperintensity? BMC Neurol 2023; 23:313. [PMID: 37648961 PMCID: PMC10466815 DOI: 10.1186/s12883-023-03364-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2023] [Accepted: 08/17/2023] [Indexed: 09/01/2023] Open
Abstract
BACKGROUND Cardiovascular diseases have been considered the primary cause of disability and death worldwide. Coronary artery calcium (CAC) is an important indicator of the severity of coronary atherosclerosis. This study is aimed to investigate the relationship between CAC and white matter hyperintensity (WMH) in the context of diagnostic utility. METHODS A retrospective analysis was conducted on 342 patients with a diagnosis of WMH on magnetic resonance images (MRI) who also underwent chest computed tomography (CT) scans. WMH volumes were automatically measured using a lesion prediction algorithm. Subjects were divided into four groups based on the CAC score obtained from chest CT scans. A multilevel mixed-effects linear regression model considering conventional vascular risk factors assessed the association between total WMH volume and CAC score. RESULTS Overall, participants with coronary artery calcium (CAC score > 0) had larger WMH volumes than those without calcium (CAC score = 0), and WMH volumes were statistically different between the four CAC score groups, with increasing CAC scores, the volume of WMH significantly increased. In the linear regression model 1 of the high CAC score group, for every 1% increase in CAC score, the WMH volume increases by 2.96%. After including other covariates in model 2 and model 3, the β coefficient in the high CAC group remains higher than in the low and medium CAC score groups. CONCLUSION In elderly adults, the presence and severity of CAC is related to an increase in WMH volume. Our findings suggest an association between two different vascular bed diseases in addition to traditional vascular risk factors, possibly indicating a comorbid mechanism.
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Affiliation(s)
- Hui Jin
- Bengbu Medical College, Bengbu, 233030, China
- Center for Rehabilitation Medicine, Department of Radiology, Zhejiang Provincial People's Hospital(Affiliated People's Hospital), Hangzhou Medical College, No. 158 Shangtang Road, Hangzhou City, Zhejiang Province, China
| | - Xue Qin
- Bengbu Medical College, Bengbu, 233030, China
| | - Fanfan Zhao
- Center for Rehabilitation Medicine, Department of Radiology, Zhejiang Provincial People's Hospital(Affiliated People's Hospital), Hangzhou Medical College, No. 158 Shangtang Road, Hangzhou City, Zhejiang Province, China
| | - Yuting Yan
- Center for Rehabilitation Medicine, Department of Radiology, Zhejiang Provincial People's Hospital(Affiliated People's Hospital), Hangzhou Medical College, No. 158 Shangtang Road, Hangzhou City, Zhejiang Province, China
| | - Yu Meng
- Center for Rehabilitation Medicine, Department of Radiology, Zhejiang Provincial People's Hospital(Affiliated People's Hospital), Hangzhou Medical College, No. 158 Shangtang Road, Hangzhou City, Zhejiang Province, China
| | - Zhenyu Shu
- Center for Rehabilitation Medicine, Department of Radiology, Zhejiang Provincial People's Hospital(Affiliated People's Hospital), Hangzhou Medical College, No. 158 Shangtang Road, Hangzhou City, Zhejiang Province, China
| | - Xiangyang Gong
- Center for Rehabilitation Medicine, Department of Radiology, Zhejiang Provincial People's Hospital(Affiliated People's Hospital), Hangzhou Medical College, No. 158 Shangtang Road, Hangzhou City, Zhejiang Province, China.
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Meng Y, Li P. [Current status and update of infantile hemangioma in diagnosis and therapy]. Zhonghua Yu Fang Yi Xue Za Zhi 2023; 57:1286-1291. [PMID: 37574325 DOI: 10.3760/cma.j.cn112150-20220826-00844] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Subscribe] [Scholar Register] [Indexed: 08/15/2023]
Abstract
Infantile hemangiomas (IHs) are benign vascular tumors commonly observed in children. It is important to familiar with the characteristic features of hemangioma before diagnosis. Lesions located special position including periorbital and beard region, segmental hemangioma related PHACE syndrome and LUMBAR syndrome, hepatic hemangioma and related possible risks should be recognized. Early evaluation and assessment of risk grades should be done as early as possible before proliferation phase, so as to choosing the optimal treatment opportunity and scheme. β-blockers are the mainstay of therapy for moderate-to-high risk hemangiomas nowadays. Early initiation of treatment can prevent adverse complications and achieve the best outcome. During the diagnosis and treatment of infantile hemangioma, it emphasizes updating of the concept of naming and classification, treatment timing control and therapeutic scheme selection. Standardized clinical diagnosis and treatment should be promoted currently.
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Affiliation(s)
- Y Meng
- Department of Dermatology, Shenzhen Children's Hospital, Shenzhen 518038,China
| | - P Li
- Department of Dermatology, Shenzhen Children's Hospital, Shenzhen 518038,China
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Huang S, Wang X, Zhang Y, Meng Y, Hua F, Xia X. Water and oil-grease barrier properties of PVA/CNF/MBP/AKD composite coating on paper. Sci Rep 2023; 13:12292. [PMID: 37516731 PMCID: PMC10387061 DOI: 10.1038/s41598-023-38941-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2023] [Accepted: 07/17/2023] [Indexed: 07/31/2023] Open
Abstract
In this paper, three kinds of micro-nano bamboo powder (MBP) and alkyl ketene dimer (AKD) were added to the polyvinyl alcohol/cellulose nanofiber (PVA/CNF) coating to prepare PVA/CNF/MBP coated paper and PVA/CNF/M-MBP/AKD coated paper. The results showed that MBP improved the oleophobicity of PVA/CNF coating, and the grease resistance grade of PVA/CNF/B-MBP and PVA/CNF/M-MBP coated papers reached the highest level, with a kit number of 12. Among the PVA/CNF/MBP coated papers, the PVA/CNF/M-MBP coated paper has the best hydrophobic properties, with the water contact angle and Cobb value of 74° and 21.3 g/m2, respectively. In addition, when the AKD dosage was 0.2% in the PVA/CNF/M-MBP/AKD coating, the kit number of the coated paper was 11, the Cobb value was 15.2 g/m2, the water contact angle was 103°, and the tensile strength was found to increase slightly. Therefore, compared with PVA/CNF coated paper, PVA/CNF/M-MBP/AKD coated paper has good strength and excellent hydrophobic and oleophobic properties.
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Affiliation(s)
- Shancong Huang
- College of Textile Science and Engineering (International Institute of Silk), Zhejiang Sci-Tech University, Hangzhou, 310000, Zhejiang, China
| | - Xiyun Wang
- College of Textile Science and Engineering (International Institute of Silk), Zhejiang Sci-Tech University, Hangzhou, 310000, Zhejiang, China
| | - Yu Zhang
- Zhejiang Jinchang Specialty Paper Co., Ltd., Quzhou, 324404, Zhejiang, China
| | - Yu Meng
- Zhejiang Jinchang Specialty Paper Co., Ltd., Quzhou, 324404, Zhejiang, China
| | - Feiguo Hua
- Zhejiang Jinchang Specialty Paper Co., Ltd., Quzhou, 324404, Zhejiang, China
| | - Xinxing Xia
- College of Textile Science and Engineering (International Institute of Silk), Zhejiang Sci-Tech University, Hangzhou, 310000, Zhejiang, China.
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Aalbers J, Akerib DS, Akerlof CW, Al Musalhi AK, Alder F, Alqahtani A, Alsum SK, Amarasinghe CS, Ames A, Anderson TJ, Angelides N, Araújo HM, Armstrong JE, Arthurs M, Azadi S, Bailey AJ, Baker A, Balajthy J, Balashov S, Bang J, Bargemann JW, Barry MJ, Barthel J, Bauer D, Baxter A, Beattie K, Belle J, Beltrame P, Bensinger J, Benson T, Bernard EP, Bhatti A, Biekert A, Biesiadzinski TP, Birch HJ, Birrittella B, Blockinger GM, Boast KE, Boxer B, Bramante R, Brew CAJ, Brás P, Buckley JH, Bugaev VV, Burdin S, Busenitz JK, Buuck M, Cabrita R, Carels C, Carlsmith DL, Carlson B, Carmona-Benitez MC, Cascella M, Chan C, Chawla A, Chen H, Cherwinka JJ, Chott NI, Cole A, Coleman J, Converse MV, Cottle A, Cox G, Craddock WW, Creaner O, Curran D, Currie A, Cutter JE, Dahl CE, David A, Davis J, Davison TJR, Delgaudio J, Dey S, de Viveiros L, Dobi A, Dobson JEY, Druszkiewicz E, Dushkin A, Edberg TK, Edwards WR, Elnimr MM, Emmet WT, Eriksen SR, Faham CH, Fan A, Fayer S, Fearon NM, Fiorucci S, Flaecher H, Ford P, Francis VB, Fraser ED, Fruth T, Gaitskell RJ, Gantos NJ, Garcia D, Geffre A, Gehman VM, Genovesi J, Ghag C, Gibbons R, Gibson E, Gilchriese MGD, Gokhale S, Gomber B, Green J, Greenall A, Greenwood S, van der Grinten MGD, Gwilliam CB, Hall CR, Hans S, Hanzel K, Harrison A, Hartigan-O'Connor E, Haselschwardt SJ, Hernandez MA, Hertel SA, Heuermann G, Hjemfelt C, Hoff MD, Holtom E, Hor JYK, Horn M, Huang DQ, Hunt D, Ignarra CM, Jacobsen RG, Jahangir O, James RS, Jeffery SN, Ji W, Johnson J, Kaboth AC, Kamaha AC, Kamdin K, Kasey V, Kazkaz K, Keefner J, Khaitan D, Khaleeq M, Khazov A, Khurana I, Kim YD, Kocher CD, Kodroff D, Korley L, Korolkova EV, Kras J, Kraus H, Kravitz S, Krebs HJ, Kreczko L, Krikler B, Kudryavtsev VA, Kyre S, Landerud B, Leason EA, Lee C, Lee J, Leonard DS, Leonard R, Lesko KT, Levy C, Li J, Liao FT, Liao J, Lin J, Lindote A, Linehan R, Lippincott WH, Liu R, Liu X, Liu Y, Loniewski C, Lopes MI, Lopez Asamar E, López Paredes B, Lorenzon W, Lucero D, Luitz S, Lyle JM, Majewski PA, Makkinje J, Malling DC, Manalaysay A, Manenti L, Mannino RL, Marangou N, Marzioni MF, Maupin C, McCarthy ME, McConnell CT, McKinsey DN, McLaughlin J, Meng Y, Migneault J, Miller EH, Mizrachi E, Mock JA, Monte A, Monzani ME, Morad JA, Morales Mendoza JD, Morrison E, Mount BJ, Murdy M, Murphy ASJ, Naim D, Naylor A, Nedlik C, Nehrkorn C, Neves F, Nguyen A, Nikoleyczik JA, Nilima A, O'Dell J, O'Neill FG, O'Sullivan K, Olcina I, Olevitch MA, Oliver-Mallory KC, Orpwood J, Pagenkopf D, Pal S, Palladino KJ, Palmer J, Pangilinan M, Parveen N, Patton SJ, Pease EK, Penning B, Pereira C, Pereira G, Perry E, Pershing T, Peterson IB, Piepke A, Podczerwinski J, Porzio D, Powell S, Preece RM, Pushkin K, Qie Y, Ratcliff BN, Reichenbacher J, Reichhart L, Rhyne CA, Richards A, Riffard Q, Rischbieter GRC, Rodrigues JP, Rodriguez A, Rose HJ, Rosero R, Rossiter P, Rushton T, Rutherford G, Rynders D, Saba JS, Santone D, Sazzad ABMR, Schnee RW, Scovell PR, Seymour D, Shaw S, Shutt T, Silk JJ, Silva C, Sinev G, Skarpaas K, Skulski W, Smith R, Solmaz M, Solovov VN, Sorensen P, Soria J, Stancu I, Stark MR, Stevens A, Stiegler TM, Stifter K, Studley R, Suerfu B, Sumner TJ, Sutcliffe P, Swanson N, Szydagis M, Tan M, Taylor DJ, Taylor R, Taylor WC, Temples DJ, Tennyson BP, Terman PA, Thomas KJ, Tiedt DR, Timalsina M, To WH, Tomás A, Tong Z, Tovey DR, Tranter J, Trask M, Tripathi M, Tronstad DR, Tull CE, Turner W, Tvrznikova L, Utku U, Va'vra J, Vacheret A, Vaitkus AC, Verbus JR, Voirin E, Waldron WL, Wang A, Wang B, Wang JJ, Wang W, Wang Y, Watson JR, Webb RC, White A, White DT, White JT, White RG, Whitis TJ, Williams M, Wisniewski WJ, Witherell MS, Wolfs FLH, Wolfs JD, Woodford S, Woodward D, Worm SD, Wright CJ, Xia Q, Xiang X, Xiao Q, Xu J, Yeh M, Yin J, Young I, Zarzhitsky P, Zuckerman A, Zweig EA. First Dark Matter Search Results from the LUX-ZEPLIN (LZ) Experiment. Phys Rev Lett 2023; 131:041002. [PMID: 37566836 DOI: 10.1103/physrevlett.131.041002] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/18/2022] [Revised: 03/06/2023] [Accepted: 06/07/2023] [Indexed: 08/13/2023]
Abstract
The LUX-ZEPLIN experiment is a dark matter detector centered on a dual-phase xenon time projection chamber operating at the Sanford Underground Research Facility in Lead, South Dakota, USA. This Letter reports results from LUX-ZEPLIN's first search for weakly interacting massive particles (WIMPs) with an exposure of 60 live days using a fiducial mass of 5.5 t. A profile-likelihood ratio analysis shows the data to be consistent with a background-only hypothesis, setting new limits on spin-independent WIMP-nucleon, spin-dependent WIMP-neutron, and spin-dependent WIMP-proton cross sections for WIMP masses above 9 GeV/c^{2}. The most stringent limit is set for spin-independent scattering at 36 GeV/c^{2}, rejecting cross sections above 9.2×10^{-48} cm at the 90% confidence level.
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Affiliation(s)
- J Aalbers
- SLAC National Accelerator Laboratory, Menlo Park, California 94025-7015, USA
- Kavli Institute for Particle Astrophysics and Cosmology, Stanford University, Stanford, California 94305-4085 USA
| | - D S Akerib
- SLAC National Accelerator Laboratory, Menlo Park, California 94025-7015, USA
- Kavli Institute for Particle Astrophysics and Cosmology, Stanford University, Stanford, California 94305-4085 USA
| | - C W Akerlof
- University of Michigan, Randall Laboratory of Physics, Ann Arbor, Michigan 48109-1040, USA
| | - A K Al Musalhi
- University of Oxford, Department of Physics, Oxford OX1 3RH, United Kingdom
| | - F Alder
- University College London (UCL), Department of Physics and Astronomy, London WC1E 6BT, United Kingdom
| | - A Alqahtani
- Brown University, Department of Physics, Providence, Rhode Island 02912-9037, USA
| | - S K Alsum
- University of Wisconsin-Madison, Department of Physics, Madison, Wisconsin 53706-1390, USA
| | - C S Amarasinghe
- University of Michigan, Randall Laboratory of Physics, Ann Arbor, Michigan 48109-1040, USA
| | - A Ames
- SLAC National Accelerator Laboratory, Menlo Park, California 94025-7015, USA
- Kavli Institute for Particle Astrophysics and Cosmology, Stanford University, Stanford, California 94305-4085 USA
| | - T J Anderson
- SLAC National Accelerator Laboratory, Menlo Park, California 94025-7015, USA
- Kavli Institute for Particle Astrophysics and Cosmology, Stanford University, Stanford, California 94305-4085 USA
| | - N Angelides
- University College London (UCL), Department of Physics and Astronomy, London WC1E 6BT, United Kingdom
- Imperial College London, Physics Department, Blackett Laboratory, London SW7 2AZ, United Kingdom
| | - H M Araújo
- Imperial College London, Physics Department, Blackett Laboratory, London SW7 2AZ, United Kingdom
| | - J E Armstrong
- University of Maryland, Department of Physics, College Park, Maryland 20742-4111, USA
| | - M Arthurs
- University of Michigan, Randall Laboratory of Physics, Ann Arbor, Michigan 48109-1040, USA
| | - S Azadi
- University of California, Santa Barbara, Department of Physics, Santa Barbara, California 93106-9530, USA
| | - A J Bailey
- Imperial College London, Physics Department, Blackett Laboratory, London SW7 2AZ, United Kingdom
| | - A Baker
- Imperial College London, Physics Department, Blackett Laboratory, London SW7 2AZ, United Kingdom
| | - J Balajthy
- University of California, Davis, Department of Physics, Davis, California 95616-5270, USA
| | - S Balashov
- STFC Rutherford Appleton Laboratory (RAL), Didcot, OX11 0QX, United Kingdom
| | - J Bang
- Brown University, Department of Physics, Providence, Rhode Island 02912-9037, USA
| | - J W Bargemann
- University of California, Santa Barbara, Department of Physics, Santa Barbara, California 93106-9530, USA
| | - M J Barry
- Lawrence Berkeley National Laboratory (LBNL), Berkeley, California 94720-8099, USA
| | - J Barthel
- South Dakota Science and Technology Authority (SDSTA), Sanford Underground Research Facility, Lead, South Dakota 57754-1700, USA
| | - D Bauer
- Imperial College London, Physics Department, Blackett Laboratory, London SW7 2AZ, United Kingdom
| | - A Baxter
- University of Liverpool, Department of Physics, Liverpool L69 7ZE, United Kingdom
| | - K Beattie
- Lawrence Berkeley National Laboratory (LBNL), Berkeley, California 94720-8099, USA
| | - J Belle
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510-5011, USA
| | - P Beltrame
- University College London (UCL), Department of Physics and Astronomy, London WC1E 6BT, United Kingdom
- University of Edinburgh, SUPA, School of Physics and Astronomy, Edinburgh EH9 3FD, United Kingdom
| | - J Bensinger
- Brandeis University, Department of Physics, Waltham, Massachusetts 02453, USA
| | - T Benson
- University of Wisconsin-Madison, Department of Physics, Madison, Wisconsin 53706-1390, USA
| | - E P Bernard
- Lawrence Berkeley National Laboratory (LBNL), Berkeley, California 94720-8099, USA
- University of California, Berkeley, Department of Physics, Berkeley, California 94720-7300, USA
| | - A Bhatti
- University of Maryland, Department of Physics, College Park, Maryland 20742-4111, USA
| | - A Biekert
- Lawrence Berkeley National Laboratory (LBNL), Berkeley, California 94720-8099, USA
- University of California, Berkeley, Department of Physics, Berkeley, California 94720-7300, USA
| | - T P Biesiadzinski
- SLAC National Accelerator Laboratory, Menlo Park, California 94025-7015, USA
- Kavli Institute for Particle Astrophysics and Cosmology, Stanford University, Stanford, California 94305-4085 USA
| | - H J Birch
- University of Michigan, Randall Laboratory of Physics, Ann Arbor, Michigan 48109-1040, USA
- University of Liverpool, Department of Physics, Liverpool L69 7ZE, United Kingdom
| | - B Birrittella
- University of Wisconsin-Madison, Department of Physics, Madison, Wisconsin 53706-1390, USA
| | - G M Blockinger
- University at Albany (SUNY), Department of Physics, Albany, New York 12222-0100, USA
| | - K E Boast
- University of Oxford, Department of Physics, Oxford OX1 3RH, United Kingdom
| | - B Boxer
- University of California, Davis, Department of Physics, Davis, California 95616-5270, USA
- University of Liverpool, Department of Physics, Liverpool L69 7ZE, United Kingdom
| | - R Bramante
- SLAC National Accelerator Laboratory, Menlo Park, California 94025-7015, USA
- Kavli Institute for Particle Astrophysics and Cosmology, Stanford University, Stanford, California 94305-4085 USA
| | - C A J Brew
- STFC Rutherford Appleton Laboratory (RAL), Didcot, OX11 0QX, United Kingdom
| | - P Brás
- Laboratório de Instrumentação e Física Experimental de Partículas (LIP), University of Coimbra, P-3004 516 Coimbra, Portugal
| | - J H Buckley
- Washington University in St. Louis, Department of Physics, St. Louis, Missouri 63130-4862, USA
| | - V V Bugaev
- Washington University in St. Louis, Department of Physics, St. Louis, Missouri 63130-4862, USA
| | - S Burdin
- University of Liverpool, Department of Physics, Liverpool L69 7ZE, United Kingdom
| | - J K Busenitz
- University of Alabama, Department of Physics and Astronomy, Tuscaloosa, Alabama 34587-0324, USA
| | - M Buuck
- SLAC National Accelerator Laboratory, Menlo Park, California 94025-7015, USA
- Kavli Institute for Particle Astrophysics and Cosmology, Stanford University, Stanford, California 94305-4085 USA
| | - R Cabrita
- Laboratório de Instrumentação e Física Experimental de Partículas (LIP), University of Coimbra, P-3004 516 Coimbra, Portugal
| | - C Carels
- University of Oxford, Department of Physics, Oxford OX1 3RH, United Kingdom
| | - D L Carlsmith
- University of Wisconsin-Madison, Department of Physics, Madison, Wisconsin 53706-1390, USA
| | - B Carlson
- South Dakota Science and Technology Authority (SDSTA), Sanford Underground Research Facility, Lead, South Dakota 57754-1700, USA
| | - M C Carmona-Benitez
- Pennsylvania State University, Department of Physics, University Park, Pennsylvania 16802-6300, USA
| | - M Cascella
- University College London (UCL), Department of Physics and Astronomy, London WC1E 6BT, United Kingdom
| | - C Chan
- Brown University, Department of Physics, Providence, Rhode Island 02912-9037, USA
| | - A Chawla
- Royal Holloway, University of London, Department of Physics, Egham, TW20 0EX, United Kingdom
| | - H Chen
- Lawrence Berkeley National Laboratory (LBNL), Berkeley, California 94720-8099, USA
| | - J J Cherwinka
- University of Wisconsin-Madison, Department of Physics, Madison, Wisconsin 53706-1390, USA
| | - N I Chott
- South Dakota School of Mines and Technology, Rapid City, South Dakota 57701-3901, USA
| | - A Cole
- Lawrence Berkeley National Laboratory (LBNL), Berkeley, California 94720-8099, USA
| | - J Coleman
- Lawrence Berkeley National Laboratory (LBNL), Berkeley, California 94720-8099, USA
| | - M V Converse
- University of Rochester, Department of Physics and Astronomy, Rochester, New York 14627-0171, USA
| | - A Cottle
- University of Oxford, Department of Physics, Oxford OX1 3RH, United Kingdom
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510-5011, USA
| | - G Cox
- South Dakota Science and Technology Authority (SDSTA), Sanford Underground Research Facility, Lead, South Dakota 57754-1700, USA
- Pennsylvania State University, Department of Physics, University Park, Pennsylvania 16802-6300, USA
| | - W W Craddock
- SLAC National Accelerator Laboratory, Menlo Park, California 94025-7015, USA
| | - O Creaner
- Lawrence Berkeley National Laboratory (LBNL), Berkeley, California 94720-8099, USA
| | - D Curran
- South Dakota Science and Technology Authority (SDSTA), Sanford Underground Research Facility, Lead, South Dakota 57754-1700, USA
| | - A Currie
- Imperial College London, Physics Department, Blackett Laboratory, London SW7 2AZ, United Kingdom
| | - J E Cutter
- University of California, Davis, Department of Physics, Davis, California 95616-5270, USA
| | - C E Dahl
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510-5011, USA
- Northwestern University, Department of Physics & Astronomy, Evanston, Illinois 60208-3112, USA
| | - A David
- University College London (UCL), Department of Physics and Astronomy, London WC1E 6BT, United Kingdom
| | - J Davis
- South Dakota Science and Technology Authority (SDSTA), Sanford Underground Research Facility, Lead, South Dakota 57754-1700, USA
| | - T J R Davison
- University of Edinburgh, SUPA, School of Physics and Astronomy, Edinburgh EH9 3FD, United Kingdom
| | - J Delgaudio
- South Dakota Science and Technology Authority (SDSTA), Sanford Underground Research Facility, Lead, South Dakota 57754-1700, USA
| | - S Dey
- University of Oxford, Department of Physics, Oxford OX1 3RH, United Kingdom
| | - L de Viveiros
- Pennsylvania State University, Department of Physics, University Park, Pennsylvania 16802-6300, USA
| | - A Dobi
- Lawrence Berkeley National Laboratory (LBNL), Berkeley, California 94720-8099, USA
| | - J E Y Dobson
- University College London (UCL), Department of Physics and Astronomy, London WC1E 6BT, United Kingdom
| | - E Druszkiewicz
- University of Rochester, Department of Physics and Astronomy, Rochester, New York 14627-0171, USA
| | - A Dushkin
- Brandeis University, Department of Physics, Waltham, Massachusetts 02453, USA
| | - T K Edberg
- University of Maryland, Department of Physics, College Park, Maryland 20742-4111, USA
| | - W R Edwards
- Lawrence Berkeley National Laboratory (LBNL), Berkeley, California 94720-8099, USA
| | - M M Elnimr
- University of Alabama, Department of Physics and Astronomy, Tuscaloosa, Alabama 34587-0324, USA
| | - W T Emmet
- Yale University, Department of Physics, New Haven, Connecticut 06511-8499, USA
| | - S R Eriksen
- University of Bristol, H.H. Wills Physics Laboratory, Bristol, BS8 1TL, United Kingdom
| | - C H Faham
- Lawrence Berkeley National Laboratory (LBNL), Berkeley, California 94720-8099, USA
| | - A Fan
- SLAC National Accelerator Laboratory, Menlo Park, California 94025-7015, USA
- Kavli Institute for Particle Astrophysics and Cosmology, Stanford University, Stanford, California 94305-4085 USA
| | - S Fayer
- Imperial College London, Physics Department, Blackett Laboratory, London SW7 2AZ, United Kingdom
| | - N M Fearon
- University of Oxford, Department of Physics, Oxford OX1 3RH, United Kingdom
| | - S Fiorucci
- Lawrence Berkeley National Laboratory (LBNL), Berkeley, California 94720-8099, USA
| | - H Flaecher
- University of Bristol, H.H. Wills Physics Laboratory, Bristol, BS8 1TL, United Kingdom
| | - P Ford
- STFC Rutherford Appleton Laboratory (RAL), Didcot, OX11 0QX, United Kingdom
| | - V B Francis
- STFC Rutherford Appleton Laboratory (RAL), Didcot, OX11 0QX, United Kingdom
| | - E D Fraser
- University of Liverpool, Department of Physics, Liverpool L69 7ZE, United Kingdom
| | - T Fruth
- University of Oxford, Department of Physics, Oxford OX1 3RH, United Kingdom
- University College London (UCL), Department of Physics and Astronomy, London WC1E 6BT, United Kingdom
| | - R J Gaitskell
- Brown University, Department of Physics, Providence, Rhode Island 02912-9037, USA
| | - N J Gantos
- Lawrence Berkeley National Laboratory (LBNL), Berkeley, California 94720-8099, USA
| | - D Garcia
- Brown University, Department of Physics, Providence, Rhode Island 02912-9037, USA
| | - A Geffre
- South Dakota Science and Technology Authority (SDSTA), Sanford Underground Research Facility, Lead, South Dakota 57754-1700, USA
| | - V M Gehman
- Lawrence Berkeley National Laboratory (LBNL), Berkeley, California 94720-8099, USA
| | - J Genovesi
- South Dakota School of Mines and Technology, Rapid City, South Dakota 57701-3901, USA
| | - C Ghag
- University College London (UCL), Department of Physics and Astronomy, London WC1E 6BT, United Kingdom
| | - R Gibbons
- Lawrence Berkeley National Laboratory (LBNL), Berkeley, California 94720-8099, USA
- University of California, Berkeley, Department of Physics, Berkeley, California 94720-7300, USA
| | - E Gibson
- University of Oxford, Department of Physics, Oxford OX1 3RH, United Kingdom
| | - M G D Gilchriese
- Lawrence Berkeley National Laboratory (LBNL), Berkeley, California 94720-8099, USA
| | - S Gokhale
- Brookhaven National Laboratory (BNL), Upton, New York 11973-5000, USA
| | - B Gomber
- University of Wisconsin-Madison, Department of Physics, Madison, Wisconsin 53706-1390, USA
| | - J Green
- University of Oxford, Department of Physics, Oxford OX1 3RH, United Kingdom
| | - A Greenall
- University of Liverpool, Department of Physics, Liverpool L69 7ZE, United Kingdom
| | - S Greenwood
- Imperial College London, Physics Department, Blackett Laboratory, London SW7 2AZ, United Kingdom
| | | | - C B Gwilliam
- University of Liverpool, Department of Physics, Liverpool L69 7ZE, United Kingdom
| | - C R Hall
- University of Maryland, Department of Physics, College Park, Maryland 20742-4111, USA
| | - S Hans
- Brookhaven National Laboratory (BNL), Upton, New York 11973-5000, USA
| | - K Hanzel
- Lawrence Berkeley National Laboratory (LBNL), Berkeley, California 94720-8099, USA
| | - A Harrison
- South Dakota School of Mines and Technology, Rapid City, South Dakota 57701-3901, USA
| | - E Hartigan-O'Connor
- Brown University, Department of Physics, Providence, Rhode Island 02912-9037, USA
| | - S J Haselschwardt
- Lawrence Berkeley National Laboratory (LBNL), Berkeley, California 94720-8099, USA
| | - M A Hernandez
- University of Michigan, Randall Laboratory of Physics, Ann Arbor, Michigan 48109-1040, USA
| | - S A Hertel
- University of Massachusetts, Department of Physics, Amherst, Massachusetts 01003-9337, USA
| | - G Heuermann
- University of Michigan, Randall Laboratory of Physics, Ann Arbor, Michigan 48109-1040, USA
| | - C Hjemfelt
- South Dakota School of Mines and Technology, Rapid City, South Dakota 57701-3901, USA
| | - M D Hoff
- Lawrence Berkeley National Laboratory (LBNL), Berkeley, California 94720-8099, USA
| | - E Holtom
- STFC Rutherford Appleton Laboratory (RAL), Didcot, OX11 0QX, United Kingdom
| | - J Y-K Hor
- University of Alabama, Department of Physics and Astronomy, Tuscaloosa, Alabama 34587-0324, USA
| | - M Horn
- South Dakota Science and Technology Authority (SDSTA), Sanford Underground Research Facility, Lead, South Dakota 57754-1700, USA
| | - D Q Huang
- University of Michigan, Randall Laboratory of Physics, Ann Arbor, Michigan 48109-1040, USA
- Brown University, Department of Physics, Providence, Rhode Island 02912-9037, USA
| | - D Hunt
- University of Oxford, Department of Physics, Oxford OX1 3RH, United Kingdom
| | - C M Ignarra
- SLAC National Accelerator Laboratory, Menlo Park, California 94025-7015, USA
- Kavli Institute for Particle Astrophysics and Cosmology, Stanford University, Stanford, California 94305-4085 USA
| | - R G Jacobsen
- Lawrence Berkeley National Laboratory (LBNL), Berkeley, California 94720-8099, USA
- University of California, Berkeley, Department of Physics, Berkeley, California 94720-7300, USA
| | - O Jahangir
- University College London (UCL), Department of Physics and Astronomy, London WC1E 6BT, United Kingdom
| | - R S James
- University College London (UCL), Department of Physics and Astronomy, London WC1E 6BT, United Kingdom
| | - S N Jeffery
- STFC Rutherford Appleton Laboratory (RAL), Didcot, OX11 0QX, United Kingdom
| | - W Ji
- SLAC National Accelerator Laboratory, Menlo Park, California 94025-7015, USA
- Kavli Institute for Particle Astrophysics and Cosmology, Stanford University, Stanford, California 94305-4085 USA
| | - J Johnson
- University of California, Davis, Department of Physics, Davis, California 95616-5270, USA
| | - A C Kaboth
- STFC Rutherford Appleton Laboratory (RAL), Didcot, OX11 0QX, United Kingdom
- Royal Holloway, University of London, Department of Physics, Egham, TW20 0EX, United Kingdom
| | - A C Kamaha
- University at Albany (SUNY), Department of Physics, Albany, New York 12222-0100, USA
- University of Califonia, Los Angeles, Department of Physics and Astronomy, Los Angeles, California 90095-1547
| | - K Kamdin
- Lawrence Berkeley National Laboratory (LBNL), Berkeley, California 94720-8099, USA
- University of California, Berkeley, Department of Physics, Berkeley, California 94720-7300, USA
| | - V Kasey
- Imperial College London, Physics Department, Blackett Laboratory, London SW7 2AZ, United Kingdom
| | - K Kazkaz
- Lawrence Livermore National Laboratory (LLNL), Livermore, California 94550-9698, USA
| | - J Keefner
- South Dakota Science and Technology Authority (SDSTA), Sanford Underground Research Facility, Lead, South Dakota 57754-1700, USA
| | - D Khaitan
- University of Rochester, Department of Physics and Astronomy, Rochester, New York 14627-0171, USA
| | - M Khaleeq
- Imperial College London, Physics Department, Blackett Laboratory, London SW7 2AZ, United Kingdom
| | - A Khazov
- STFC Rutherford Appleton Laboratory (RAL), Didcot, OX11 0QX, United Kingdom
| | - I Khurana
- University College London (UCL), Department of Physics and Astronomy, London WC1E 6BT, United Kingdom
| | - Y D Kim
- IBS Center for Underground Physics (CUP), Yuseong-gu, Daejeon, Korea
| | - C D Kocher
- Brown University, Department of Physics, Providence, Rhode Island 02912-9037, USA
| | - D Kodroff
- Pennsylvania State University, Department of Physics, University Park, Pennsylvania 16802-6300, USA
| | - L Korley
- University of Michigan, Randall Laboratory of Physics, Ann Arbor, Michigan 48109-1040, USA
- Brandeis University, Department of Physics, Waltham, Massachusetts 02453, USA
| | - E V Korolkova
- University of Sheffield, Department of Physics and Astronomy, Sheffield S3 7RH, United Kingdom
| | - J Kras
- University of Wisconsin-Madison, Department of Physics, Madison, Wisconsin 53706-1390, USA
| | - H Kraus
- University of Oxford, Department of Physics, Oxford OX1 3RH, United Kingdom
| | - S Kravitz
- Lawrence Berkeley National Laboratory (LBNL), Berkeley, California 94720-8099, USA
| | - H J Krebs
- SLAC National Accelerator Laboratory, Menlo Park, California 94025-7015, USA
| | - L Kreczko
- Brookhaven National Laboratory (BNL), Upton, New York 11973-5000, USA
| | - B Krikler
- Brookhaven National Laboratory (BNL), Upton, New York 11973-5000, USA
| | - V A Kudryavtsev
- University of Sheffield, Department of Physics and Astronomy, Sheffield S3 7RH, United Kingdom
| | - S Kyre
- University of California, Santa Barbara, Department of Physics, Santa Barbara, California 93106-9530, USA
| | - B Landerud
- University of Wisconsin-Madison, Department of Physics, Madison, Wisconsin 53706-1390, USA
| | - E A Leason
- University of Edinburgh, SUPA, School of Physics and Astronomy, Edinburgh EH9 3FD, United Kingdom
| | - C Lee
- SLAC National Accelerator Laboratory, Menlo Park, California 94025-7015, USA
- Kavli Institute for Particle Astrophysics and Cosmology, Stanford University, Stanford, California 94305-4085 USA
| | - J Lee
- IBS Center for Underground Physics (CUP), Yuseong-gu, Daejeon, Korea
| | - D S Leonard
- IBS Center for Underground Physics (CUP), Yuseong-gu, Daejeon, Korea
| | - R Leonard
- South Dakota School of Mines and Technology, Rapid City, South Dakota 57701-3901, USA
| | - K T Lesko
- Lawrence Berkeley National Laboratory (LBNL), Berkeley, California 94720-8099, USA
| | - C Levy
- University at Albany (SUNY), Department of Physics, Albany, New York 12222-0100, USA
| | - J Li
- IBS Center for Underground Physics (CUP), Yuseong-gu, Daejeon, Korea
| | - F-T Liao
- University of Oxford, Department of Physics, Oxford OX1 3RH, United Kingdom
| | - J Liao
- Brown University, Department of Physics, Providence, Rhode Island 02912-9037, USA
| | - J Lin
- University of Oxford, Department of Physics, Oxford OX1 3RH, United Kingdom
- Lawrence Berkeley National Laboratory (LBNL), Berkeley, California 94720-8099, USA
- University of California, Berkeley, Department of Physics, Berkeley, California 94720-7300, USA
| | - A Lindote
- Laboratório de Instrumentação e Física Experimental de Partículas (LIP), University of Coimbra, P-3004 516 Coimbra, Portugal
| | - R Linehan
- SLAC National Accelerator Laboratory, Menlo Park, California 94025-7015, USA
- Kavli Institute for Particle Astrophysics and Cosmology, Stanford University, Stanford, California 94305-4085 USA
| | - W H Lippincott
- University of California, Santa Barbara, Department of Physics, Santa Barbara, California 93106-9530, USA
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510-5011, USA
| | - R Liu
- Brown University, Department of Physics, Providence, Rhode Island 02912-9037, USA
| | - X Liu
- University of Edinburgh, SUPA, School of Physics and Astronomy, Edinburgh EH9 3FD, United Kingdom
| | - Y Liu
- University of Wisconsin-Madison, Department of Physics, Madison, Wisconsin 53706-1390, USA
| | - C Loniewski
- University of Rochester, Department of Physics and Astronomy, Rochester, New York 14627-0171, USA
| | - M I Lopes
- Laboratório de Instrumentação e Física Experimental de Partículas (LIP), University of Coimbra, P-3004 516 Coimbra, Portugal
| | - E Lopez Asamar
- Laboratório de Instrumentação e Física Experimental de Partículas (LIP), University of Coimbra, P-3004 516 Coimbra, Portugal
| | - B López Paredes
- Imperial College London, Physics Department, Blackett Laboratory, London SW7 2AZ, United Kingdom
| | - W Lorenzon
- University of Michigan, Randall Laboratory of Physics, Ann Arbor, Michigan 48109-1040, USA
| | - D Lucero
- South Dakota Science and Technology Authority (SDSTA), Sanford Underground Research Facility, Lead, South Dakota 57754-1700, USA
| | - S Luitz
- SLAC National Accelerator Laboratory, Menlo Park, California 94025-7015, USA
| | - J M Lyle
- Brown University, Department of Physics, Providence, Rhode Island 02912-9037, USA
| | - P A Majewski
- STFC Rutherford Appleton Laboratory (RAL), Didcot, OX11 0QX, United Kingdom
| | - J Makkinje
- Brown University, Department of Physics, Providence, Rhode Island 02912-9037, USA
| | - D C Malling
- Brown University, Department of Physics, Providence, Rhode Island 02912-9037, USA
| | - A Manalaysay
- University of California, Davis, Department of Physics, Davis, California 95616-5270, USA
- Lawrence Berkeley National Laboratory (LBNL), Berkeley, California 94720-8099, USA
| | - L Manenti
- University College London (UCL), Department of Physics and Astronomy, London WC1E 6BT, United Kingdom
| | - R L Mannino
- University of Wisconsin-Madison, Department of Physics, Madison, Wisconsin 53706-1390, USA
| | - N Marangou
- Imperial College London, Physics Department, Blackett Laboratory, London SW7 2AZ, United Kingdom
| | - M F Marzioni
- University of Edinburgh, SUPA, School of Physics and Astronomy, Edinburgh EH9 3FD, United Kingdom
| | - C Maupin
- South Dakota Science and Technology Authority (SDSTA), Sanford Underground Research Facility, Lead, South Dakota 57754-1700, USA
| | - M E McCarthy
- University of Rochester, Department of Physics and Astronomy, Rochester, New York 14627-0171, USA
| | - C T McConnell
- Lawrence Berkeley National Laboratory (LBNL), Berkeley, California 94720-8099, USA
| | - D N McKinsey
- Lawrence Berkeley National Laboratory (LBNL), Berkeley, California 94720-8099, USA
- University of California, Berkeley, Department of Physics, Berkeley, California 94720-7300, USA
| | - J McLaughlin
- Northwestern University, Department of Physics & Astronomy, Evanston, Illinois 60208-3112, USA
| | - Y Meng
- University of Alabama, Department of Physics and Astronomy, Tuscaloosa, Alabama 34587-0324, USA
| | - J Migneault
- Brown University, Department of Physics, Providence, Rhode Island 02912-9037, USA
| | - E H Miller
- SLAC National Accelerator Laboratory, Menlo Park, California 94025-7015, USA
- Kavli Institute for Particle Astrophysics and Cosmology, Stanford University, Stanford, California 94305-4085 USA
- South Dakota School of Mines and Technology, Rapid City, South Dakota 57701-3901, USA
| | - E Mizrachi
- University of Maryland, Department of Physics, College Park, Maryland 20742-4111, USA
- Lawrence Livermore National Laboratory (LLNL), Livermore, California 94550-9698, USA
| | - J A Mock
- Lawrence Berkeley National Laboratory (LBNL), Berkeley, California 94720-8099, USA
- University at Albany (SUNY), Department of Physics, Albany, New York 12222-0100, USA
| | - A Monte
- University of California, Santa Barbara, Department of Physics, Santa Barbara, California 93106-9530, USA
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510-5011, USA
| | - M E Monzani
- SLAC National Accelerator Laboratory, Menlo Park, California 94025-7015, USA
- Kavli Institute for Particle Astrophysics and Cosmology, Stanford University, Stanford, California 94305-4085 USA
- Vatican Observatory, Castel Gandolfo, V-00120, Vatican City State
| | - J A Morad
- University of California, Davis, Department of Physics, Davis, California 95616-5270, USA
| | - J D Morales Mendoza
- SLAC National Accelerator Laboratory, Menlo Park, California 94025-7015, USA
- Kavli Institute for Particle Astrophysics and Cosmology, Stanford University, Stanford, California 94305-4085 USA
| | - E Morrison
- South Dakota School of Mines and Technology, Rapid City, South Dakota 57701-3901, USA
| | - B J Mount
- Black Hills State University, School of Natural Sciences, Spearfish, South Dakota 57799-0002, USA
| | - M Murdy
- University of Massachusetts, Department of Physics, Amherst, Massachusetts 01003-9337, USA
| | - A St J Murphy
- University of Edinburgh, SUPA, School of Physics and Astronomy, Edinburgh EH9 3FD, United Kingdom
| | - D Naim
- University of California, Davis, Department of Physics, Davis, California 95616-5270, USA
| | - A Naylor
- University of Sheffield, Department of Physics and Astronomy, Sheffield S3 7RH, United Kingdom
| | - C Nedlik
- University of Massachusetts, Department of Physics, Amherst, Massachusetts 01003-9337, USA
| | - C Nehrkorn
- University of California, Santa Barbara, Department of Physics, Santa Barbara, California 93106-9530, USA
| | - F Neves
- Laboratório de Instrumentação e Física Experimental de Partículas (LIP), University of Coimbra, P-3004 516 Coimbra, Portugal
| | - A Nguyen
- University of Edinburgh, SUPA, School of Physics and Astronomy, Edinburgh EH9 3FD, United Kingdom
| | - J A Nikoleyczik
- University of Wisconsin-Madison, Department of Physics, Madison, Wisconsin 53706-1390, USA
| | - A Nilima
- University of Edinburgh, SUPA, School of Physics and Astronomy, Edinburgh EH9 3FD, United Kingdom
| | - J O'Dell
- STFC Rutherford Appleton Laboratory (RAL), Didcot, OX11 0QX, United Kingdom
| | - F G O'Neill
- SLAC National Accelerator Laboratory, Menlo Park, California 94025-7015, USA
| | - K O'Sullivan
- Lawrence Berkeley National Laboratory (LBNL), Berkeley, California 94720-8099, USA
- University of California, Berkeley, Department of Physics, Berkeley, California 94720-7300, USA
| | - I Olcina
- Lawrence Berkeley National Laboratory (LBNL), Berkeley, California 94720-8099, USA
- University of California, Berkeley, Department of Physics, Berkeley, California 94720-7300, USA
| | - M A Olevitch
- Washington University in St. Louis, Department of Physics, St. Louis, Missouri 63130-4862, USA
| | - K C Oliver-Mallory
- Imperial College London, Physics Department, Blackett Laboratory, London SW7 2AZ, United Kingdom
- Lawrence Berkeley National Laboratory (LBNL), Berkeley, California 94720-8099, USA
- University of California, Berkeley, Department of Physics, Berkeley, California 94720-7300, USA
| | - J Orpwood
- University of Sheffield, Department of Physics and Astronomy, Sheffield S3 7RH, United Kingdom
| | - D Pagenkopf
- University of California, Santa Barbara, Department of Physics, Santa Barbara, California 93106-9530, USA
| | - S Pal
- Laboratório de Instrumentação e Física Experimental de Partículas (LIP), University of Coimbra, P-3004 516 Coimbra, Portugal
| | - K J Palladino
- University of Oxford, Department of Physics, Oxford OX1 3RH, United Kingdom
- University of Wisconsin-Madison, Department of Physics, Madison, Wisconsin 53706-1390, USA
| | - J Palmer
- Royal Holloway, University of London, Department of Physics, Egham, TW20 0EX, United Kingdom
| | - M Pangilinan
- Brown University, Department of Physics, Providence, Rhode Island 02912-9037, USA
| | - N Parveen
- University at Albany (SUNY), Department of Physics, Albany, New York 12222-0100, USA
| | - S J Patton
- Lawrence Berkeley National Laboratory (LBNL), Berkeley, California 94720-8099, USA
| | - E K Pease
- Lawrence Berkeley National Laboratory (LBNL), Berkeley, California 94720-8099, USA
| | - B Penning
- University of Michigan, Randall Laboratory of Physics, Ann Arbor, Michigan 48109-1040, USA
- Brandeis University, Department of Physics, Waltham, Massachusetts 02453, USA
| | - C Pereira
- Laboratório de Instrumentação e Física Experimental de Partículas (LIP), University of Coimbra, P-3004 516 Coimbra, Portugal
| | - G Pereira
- Laboratório de Instrumentação e Física Experimental de Partículas (LIP), University of Coimbra, P-3004 516 Coimbra, Portugal
| | - E Perry
- University College London (UCL), Department of Physics and Astronomy, London WC1E 6BT, United Kingdom
| | - T Pershing
- Lawrence Livermore National Laboratory (LLNL), Livermore, California 94550-9698, USA
| | - I B Peterson
- Lawrence Berkeley National Laboratory (LBNL), Berkeley, California 94720-8099, USA
| | - A Piepke
- University of Alabama, Department of Physics and Astronomy, Tuscaloosa, Alabama 34587-0324, USA
| | - J Podczerwinski
- University of Wisconsin-Madison, Department of Physics, Madison, Wisconsin 53706-1390, USA
| | - D Porzio
- Laboratório de Instrumentação e Física Experimental de Partículas (LIP), University of Coimbra, P-3004 516 Coimbra, Portugal
| | - S Powell
- University of Liverpool, Department of Physics, Liverpool L69 7ZE, United Kingdom
| | - R M Preece
- STFC Rutherford Appleton Laboratory (RAL), Didcot, OX11 0QX, United Kingdom
| | - K Pushkin
- University of Michigan, Randall Laboratory of Physics, Ann Arbor, Michigan 48109-1040, USA
| | - Y Qie
- University of Rochester, Department of Physics and Astronomy, Rochester, New York 14627-0171, USA
| | - B N Ratcliff
- SLAC National Accelerator Laboratory, Menlo Park, California 94025-7015, USA
| | - J Reichenbacher
- South Dakota School of Mines and Technology, Rapid City, South Dakota 57701-3901, USA
| | - L Reichhart
- University College London (UCL), Department of Physics and Astronomy, London WC1E 6BT, United Kingdom
| | - C A Rhyne
- Brown University, Department of Physics, Providence, Rhode Island 02912-9037, USA
| | - A Richards
- Imperial College London, Physics Department, Blackett Laboratory, London SW7 2AZ, United Kingdom
| | - Q Riffard
- Lawrence Berkeley National Laboratory (LBNL), Berkeley, California 94720-8099, USA
- University of California, Berkeley, Department of Physics, Berkeley, California 94720-7300, USA
| | - G R C Rischbieter
- University at Albany (SUNY), Department of Physics, Albany, New York 12222-0100, USA
| | - J P Rodrigues
- Laboratório de Instrumentação e Física Experimental de Partículas (LIP), University of Coimbra, P-3004 516 Coimbra, Portugal
| | - A Rodriguez
- Black Hills State University, School of Natural Sciences, Spearfish, South Dakota 57799-0002, USA
| | - H J Rose
- University of Liverpool, Department of Physics, Liverpool L69 7ZE, United Kingdom
| | - R Rosero
- Brookhaven National Laboratory (BNL), Upton, New York 11973-5000, USA
| | - P Rossiter
- University of Sheffield, Department of Physics and Astronomy, Sheffield S3 7RH, United Kingdom
| | - T Rushton
- University of Sheffield, Department of Physics and Astronomy, Sheffield S3 7RH, United Kingdom
| | - G Rutherford
- Brown University, Department of Physics, Providence, Rhode Island 02912-9037, USA
| | - D Rynders
- South Dakota Science and Technology Authority (SDSTA), Sanford Underground Research Facility, Lead, South Dakota 57754-1700, USA
| | - J S Saba
- Lawrence Berkeley National Laboratory (LBNL), Berkeley, California 94720-8099, USA
| | - D Santone
- Royal Holloway, University of London, Department of Physics, Egham, TW20 0EX, United Kingdom
| | - A B M R Sazzad
- University of Alabama, Department of Physics and Astronomy, Tuscaloosa, Alabama 34587-0324, USA
| | - R W Schnee
- South Dakota School of Mines and Technology, Rapid City, South Dakota 57701-3901, USA
| | - P R Scovell
- University of Oxford, Department of Physics, Oxford OX1 3RH, United Kingdom
- STFC Rutherford Appleton Laboratory (RAL), Didcot, OX11 0QX, United Kingdom
| | - D Seymour
- Brown University, Department of Physics, Providence, Rhode Island 02912-9037, USA
| | - S Shaw
- University of California, Santa Barbara, Department of Physics, Santa Barbara, California 93106-9530, USA
| | - T Shutt
- SLAC National Accelerator Laboratory, Menlo Park, California 94025-7015, USA
- Kavli Institute for Particle Astrophysics and Cosmology, Stanford University, Stanford, California 94305-4085 USA
| | - J J Silk
- University of Maryland, Department of Physics, College Park, Maryland 20742-4111, USA
| | - C Silva
- Laboratório de Instrumentação e Física Experimental de Partículas (LIP), University of Coimbra, P-3004 516 Coimbra, Portugal
| | - G Sinev
- South Dakota School of Mines and Technology, Rapid City, South Dakota 57701-3901, USA
| | - K Skarpaas
- SLAC National Accelerator Laboratory, Menlo Park, California 94025-7015, USA
| | - W Skulski
- University of Rochester, Department of Physics and Astronomy, Rochester, New York 14627-0171, USA
| | - R Smith
- Lawrence Berkeley National Laboratory (LBNL), Berkeley, California 94720-8099, USA
- University of California, Berkeley, Department of Physics, Berkeley, California 94720-7300, USA
| | - M Solmaz
- University of California, Santa Barbara, Department of Physics, Santa Barbara, California 93106-9530, USA
| | - V N Solovov
- Laboratório de Instrumentação e Física Experimental de Partículas (LIP), University of Coimbra, P-3004 516 Coimbra, Portugal
| | - P Sorensen
- Lawrence Berkeley National Laboratory (LBNL), Berkeley, California 94720-8099, USA
| | - J Soria
- Lawrence Berkeley National Laboratory (LBNL), Berkeley, California 94720-8099, USA
- University of California, Berkeley, Department of Physics, Berkeley, California 94720-7300, USA
| | - I Stancu
- University of Alabama, Department of Physics and Astronomy, Tuscaloosa, Alabama 34587-0324, USA
| | - M R Stark
- South Dakota School of Mines and Technology, Rapid City, South Dakota 57701-3901, USA
| | - A Stevens
- University of Oxford, Department of Physics, Oxford OX1 3RH, United Kingdom
- University College London (UCL), Department of Physics and Astronomy, London WC1E 6BT, United Kingdom
- Imperial College London, Physics Department, Blackett Laboratory, London SW7 2AZ, United Kingdom
| | - T M Stiegler
- Texas A&M University, Department of Physics and Astronomy, College Station, Texas 77843-4242, USA
| | - K Stifter
- SLAC National Accelerator Laboratory, Menlo Park, California 94025-7015, USA
- Kavli Institute for Particle Astrophysics and Cosmology, Stanford University, Stanford, California 94305-4085 USA
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510-5011, USA
| | - R Studley
- Brandeis University, Department of Physics, Waltham, Massachusetts 02453, USA
| | - B Suerfu
- Lawrence Berkeley National Laboratory (LBNL), Berkeley, California 94720-8099, USA
- University of California, Berkeley, Department of Physics, Berkeley, California 94720-7300, USA
| | - T J Sumner
- Imperial College London, Physics Department, Blackett Laboratory, London SW7 2AZ, United Kingdom
| | - P Sutcliffe
- University of Liverpool, Department of Physics, Liverpool L69 7ZE, United Kingdom
| | - N Swanson
- Brown University, Department of Physics, Providence, Rhode Island 02912-9037, USA
| | - M Szydagis
- University at Albany (SUNY), Department of Physics, Albany, New York 12222-0100, USA
| | - M Tan
- University of Oxford, Department of Physics, Oxford OX1 3RH, United Kingdom
| | - D J Taylor
- South Dakota Science and Technology Authority (SDSTA), Sanford Underground Research Facility, Lead, South Dakota 57754-1700, USA
| | - R Taylor
- Imperial College London, Physics Department, Blackett Laboratory, London SW7 2AZ, United Kingdom
| | - W C Taylor
- Brown University, Department of Physics, Providence, Rhode Island 02912-9037, USA
| | - D J Temples
- Northwestern University, Department of Physics & Astronomy, Evanston, Illinois 60208-3112, USA
| | - B P Tennyson
- Yale University, Department of Physics, New Haven, Connecticut 06511-8499, USA
| | - P A Terman
- Texas A&M University, Department of Physics and Astronomy, College Station, Texas 77843-4242, USA
| | - K J Thomas
- Lawrence Berkeley National Laboratory (LBNL), Berkeley, California 94720-8099, USA
| | - D R Tiedt
- University of Maryland, Department of Physics, College Park, Maryland 20742-4111, USA
- South Dakota Science and Technology Authority (SDSTA), Sanford Underground Research Facility, Lead, South Dakota 57754-1700, USA
- South Dakota School of Mines and Technology, Rapid City, South Dakota 57701-3901, USA
| | - M Timalsina
- South Dakota School of Mines and Technology, Rapid City, South Dakota 57701-3901, USA
| | - W H To
- SLAC National Accelerator Laboratory, Menlo Park, California 94025-7015, USA
- Kavli Institute for Particle Astrophysics and Cosmology, Stanford University, Stanford, California 94305-4085 USA
| | - A Tomás
- Imperial College London, Physics Department, Blackett Laboratory, London SW7 2AZ, United Kingdom
| | - Z Tong
- Imperial College London, Physics Department, Blackett Laboratory, London SW7 2AZ, United Kingdom
| | - D R Tovey
- University of Sheffield, Department of Physics and Astronomy, Sheffield S3 7RH, United Kingdom
| | - J Tranter
- University of Sheffield, Department of Physics and Astronomy, Sheffield S3 7RH, United Kingdom
| | - M Trask
- University of California, Santa Barbara, Department of Physics, Santa Barbara, California 93106-9530, USA
| | - M Tripathi
- University of California, Davis, Department of Physics, Davis, California 95616-5270, USA
| | - D R Tronstad
- South Dakota School of Mines and Technology, Rapid City, South Dakota 57701-3901, USA
| | - C E Tull
- Lawrence Berkeley National Laboratory (LBNL), Berkeley, California 94720-8099, USA
| | - W Turner
- University of Liverpool, Department of Physics, Liverpool L69 7ZE, United Kingdom
| | - L Tvrznikova
- University of California, Berkeley, Department of Physics, Berkeley, California 94720-7300, USA
- Yale University, Department of Physics, New Haven, Connecticut 06511-8499, USA
- Lawrence Livermore National Laboratory (LLNL), Livermore, California 94550-9698, USA
| | - U Utku
- University College London (UCL), Department of Physics and Astronomy, London WC1E 6BT, United Kingdom
| | - J Va'vra
- SLAC National Accelerator Laboratory, Menlo Park, California 94025-7015, USA
| | - A Vacheret
- Imperial College London, Physics Department, Blackett Laboratory, London SW7 2AZ, United Kingdom
| | - A C Vaitkus
- Brown University, Department of Physics, Providence, Rhode Island 02912-9037, USA
| | - J R Verbus
- Brown University, Department of Physics, Providence, Rhode Island 02912-9037, USA
| | - E Voirin
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510-5011, USA
| | - W L Waldron
- Lawrence Berkeley National Laboratory (LBNL), Berkeley, California 94720-8099, USA
| | - A Wang
- SLAC National Accelerator Laboratory, Menlo Park, California 94025-7015, USA
- Kavli Institute for Particle Astrophysics and Cosmology, Stanford University, Stanford, California 94305-4085 USA
| | - B Wang
- University of Alabama, Department of Physics and Astronomy, Tuscaloosa, Alabama 34587-0324, USA
| | - J J Wang
- University of Alabama, Department of Physics and Astronomy, Tuscaloosa, Alabama 34587-0324, USA
| | - W Wang
- University of Wisconsin-Madison, Department of Physics, Madison, Wisconsin 53706-1390, USA
- University of Massachusetts, Department of Physics, Amherst, Massachusetts 01003-9337, USA
| | - Y Wang
- Lawrence Berkeley National Laboratory (LBNL), Berkeley, California 94720-8099, USA
- University of California, Berkeley, Department of Physics, Berkeley, California 94720-7300, USA
| | - J R Watson
- Lawrence Berkeley National Laboratory (LBNL), Berkeley, California 94720-8099, USA
- University of California, Berkeley, Department of Physics, Berkeley, California 94720-7300, USA
| | - R C Webb
- Texas A&M University, Department of Physics and Astronomy, College Station, Texas 77843-4242, USA
| | - A White
- Brown University, Department of Physics, Providence, Rhode Island 02912-9037, USA
| | - D T White
- University of California, Santa Barbara, Department of Physics, Santa Barbara, California 93106-9530, USA
| | - J T White
- Texas A&M University, Department of Physics and Astronomy, College Station, Texas 77843-4242, USA
| | - R G White
- SLAC National Accelerator Laboratory, Menlo Park, California 94025-7015, USA
- Kavli Institute for Particle Astrophysics and Cosmology, Stanford University, Stanford, California 94305-4085 USA
| | - T J Whitis
- SLAC National Accelerator Laboratory, Menlo Park, California 94025-7015, USA
- University of California, Santa Barbara, Department of Physics, Santa Barbara, California 93106-9530, USA
| | - M Williams
- University of Michigan, Randall Laboratory of Physics, Ann Arbor, Michigan 48109-1040, USA
- Brandeis University, Department of Physics, Waltham, Massachusetts 02453, USA
| | - W J Wisniewski
- SLAC National Accelerator Laboratory, Menlo Park, California 94025-7015, USA
| | - M S Witherell
- Lawrence Berkeley National Laboratory (LBNL), Berkeley, California 94720-8099, USA
- University of California, Berkeley, Department of Physics, Berkeley, California 94720-7300, USA
| | - F L H Wolfs
- University of Rochester, Department of Physics and Astronomy, Rochester, New York 14627-0171, USA
| | - J D Wolfs
- University of Rochester, Department of Physics and Astronomy, Rochester, New York 14627-0171, USA
| | - S Woodford
- University of Liverpool, Department of Physics, Liverpool L69 7ZE, United Kingdom
| | - D Woodward
- Pennsylvania State University, Department of Physics, University Park, Pennsylvania 16802-6300, USA
| | - S D Worm
- STFC Rutherford Appleton Laboratory (RAL), Didcot, OX11 0QX, United Kingdom
| | - C J Wright
- Brookhaven National Laboratory (BNL), Upton, New York 11973-5000, USA
| | - Q Xia
- Lawrence Berkeley National Laboratory (LBNL), Berkeley, California 94720-8099, USA
| | - X Xiang
- Brown University, Department of Physics, Providence, Rhode Island 02912-9037, USA
- Brookhaven National Laboratory (BNL), Upton, New York 11973-5000, USA
| | - Q Xiao
- University of Wisconsin-Madison, Department of Physics, Madison, Wisconsin 53706-1390, USA
| | - J Xu
- Lawrence Livermore National Laboratory (LLNL), Livermore, California 94550-9698, USA
| | - M Yeh
- Brookhaven National Laboratory (BNL), Upton, New York 11973-5000, USA
| | - J Yin
- University of Rochester, Department of Physics and Astronomy, Rochester, New York 14627-0171, USA
| | - I Young
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510-5011, USA
| | - P Zarzhitsky
- University of Alabama, Department of Physics and Astronomy, Tuscaloosa, Alabama 34587-0324, USA
| | - A Zuckerman
- Brown University, Department of Physics, Providence, Rhode Island 02912-9037, USA
| | - E A Zweig
- University of Califonia, Los Angeles, Department of Physics and Astronomy, Los Angeles, California 90095-1547
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Meng Y, Ingram-Smith C, Ahmed O, Smith K. The Roles of Coenzyme A Binding Pocket Residues in Short and Medium Chain Acyl-CoA Synthetases. Life (Basel) 2023; 13:1643. [PMID: 37629500 PMCID: PMC10455477 DOI: 10.3390/life13081643] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2023] [Revised: 07/20/2023] [Accepted: 07/26/2023] [Indexed: 08/27/2023] Open
Abstract
Short- and medium-chain acyl-CoA synthetases catalyze similar two-step reactions in which acyl substrate and ATP bind to form an enzyme-bound acyl-adenylate, then CoA binds for formation of the acyl-CoA product. We investigated the roles of active site residues in CoA binding in acetyl-CoA synthetase (Acs) and a medium-chain acyl-CoA synthetase (Macs) that uses 2-methylbutyryl-CoA. Three highly conserved residues, Arg193, Arg528, and Arg586 of Methanothermobacter thermautotrophicus Acs (AcsMt), are predicted to form important interactions with the 5'- and 3'-phosphate groups of CoA. Kinetic characterization of AcsMt variants altered at each of these positions indicates these Arg residues play a critical role in CoA binding and catalysis. The predicted CoA binding site of Methanosarcina acetivorans Macs (MacsMa) is structurally more closely related to that of 4-chlorobenzoate:coenzyme A ligase (CBAL) than Acs. Alteration of MacsMa residues Tyr460, Arg490, Tyr525, and Tyr527, which correspond to CoA binding pocket residues in CBAL, strongly affected CoA binding and catalysis without substantially affecting acyl-adenylate formation. Both enzymes discriminate between 3'-dephospho-CoA and CoA, indicating interaction between the enzyme and the 3'-phosphate group is important. Alteration of MacsMa residues Lys461 and Lys519, located at positions equivalent to AcsMt Arg528 and Arg586, respectively, had only a moderate effect on CoA binding and catalysis. Overall, our results indicate the active site architecture in AcsMt and MacsMa differs even though these enzymes catalyze mechanistically similar reactions. The significance of this study is that we have delineated the active site architecture with respect to CoA binding and catalysis in this important enzyme superfamily.
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Affiliation(s)
- Yu Meng
- Department of Genetics and Biochemistry, Clemson University, Clemson, SC 29634, USA; (Y.M.); (O.A.)
- College of Science and Technology, Wenzhou-Kean University, Wenzhou 325060, China
| | - Cheryl Ingram-Smith
- Department of Genetics and Biochemistry, Clemson University, Clemson, SC 29634, USA; (Y.M.); (O.A.)
| | - Oly Ahmed
- Department of Genetics and Biochemistry, Clemson University, Clemson, SC 29634, USA; (Y.M.); (O.A.)
| | - Kerry Smith
- Department of Genetics and Biochemistry, Clemson University, Clemson, SC 29634, USA; (Y.M.); (O.A.)
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50
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Yin Y, Shao Y, Meng Y, Hao Y. The effects of the natural visual-aural attributes of urban green spaces on human behavior and emotional response. Front Psychol 2023; 14:1186806. [PMID: 37564319 PMCID: PMC10411191 DOI: 10.3389/fpsyg.2023.1186806] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2023] [Accepted: 07/07/2023] [Indexed: 08/12/2023] Open
Abstract
Introduction Nature-based solutions (NBS) have been used to address a wide range of urban environmental challenges, an important aspect of which is to improve human health and well-being. However, most relevant studies focus either on what positive influences nature may have or on identifying what natural factors can have these benefits. Few have investigated the sensory composition of nature and the effects of nature in different sensory aspects on human health. Setting out from the multi-sensory perspective, this study aims to explore human behavior and emotional response from visual and aural contact with urban nature. Methods Taking Jiangjia Art Garden in Chengdu as an example, natural attributes such as its visual (landscape) and aural (sound source) characteristics as well as people's activities (behavioral responses) were measured by on-site mapping analysis. This was done while a questionnaire-based survey was conducted to investigate people's emotional responses regarding their overall satisfaction, pleasantness, calm, and agreeableness. Results The results indicated that nature-dominated visual landscapes such as grassland, waterscapes, and woodlands, as well as natural sounds such as bird sounds, chirp sounds, and wind sounds were found to be positively correlated to the vitality of activities and people's emotional status. Regarding behavioral responses, it was shown that grasslands and woodlands are more likely to be attractive places for recreation, and the vitality measured became extremely high when these two were paired with lakes. As for the emotional responses, people's perceived overall satisfaction, calm, and agreeableness were equally reflected in their behavioral patterns, suggesting a strong relationship with natural factors. Discussion The research findings were visually presented in behavior and emotional maps to provide direct cues of informing the future design of high-quality urban green spaces and promoting the application of aural-visual experience in the design of urban nature areas.
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Affiliation(s)
- Yuting Yin
- College of Architecture and Urban Planning, Tongji University, Shanghai, China
| | - Yuhan Shao
- College of Architecture and Urban Planning, Tongji University, Shanghai, China
| | - Yu Meng
- College of Architecture and Urban Planning, Tongji University, Shanghai, China
| | - Yiying Hao
- Acoustics and Vibration Group, Bureau Veritas, Manchester, United Kingdom
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