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Shao L, Yang X, Sun Z, Tan X, Lu Z, Hu S, Dou W, Duan S. Three-dimensional pseudo-continuous arterial spin-labelled perfusion imaging for diagnosing upper cervical lymph node metastasis in patients with nasopharyngeal carcinoma: a whole-node histogram analysis. Clin Radiol 2024; 79:e736-e743. [PMID: 38341343 DOI: 10.1016/j.crad.2024.01.017] [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: 08/02/2023] [Revised: 01/11/2024] [Accepted: 01/16/2024] [Indexed: 02/12/2024]
Abstract
AIM To evaluate whole-node histogram parameters of blood flow (BF) maps derived from three-dimensional pseudo-continuous arterial spin-labelled (3D pCASL) imaging in discriminating metastatic from benign upper cervical lymph nodes (UCLNs) for nasopharyngeal carcinoma (NPC) patients. MATERIALS AND METHODS Eighty NPC patients with a total of 170 histologically confirmed UCLNs (67 benign and 103 metastatic) were included retrospectively. Pre-treatment 3D pCASL imaging was performed and whole-node histogram analysis was then applied. Histogram parameters and morphological features, such as minimum axis diameter (MinAD), maximum axis diameter (MaxAD), and location of UCLNs, were assessed and compared between benign and metastatic lesions. Predictors were identified and further applied to establish a combined model by multivariate logistic regression in predicting the probability of metastatic UCLNs. Receiver operating characteristic (ROC) curves were used to analyse the diagnostic performance. RESULTS Metastatic UCLNs had larger MinAD and MinAD/MaxAD ratio, greater energy and entropy values, and higher incidence of level II (upper jugular group), but lower BF10th value than benign nodes (all p<0.05). MinAD, BF10th, energy, and entropy were validated as independent predictors in diagnosing metastatic UCLNs. The combined model yielded an area under the curve (AUC) of 0.932, accuracy of 84.42 %, sensitivity of 80.6 %, and specificity of 90.29 %. CONCLUSIONS Whole-node histogram analysis on BF maps is a feasible tool to differentiate metastatic from benign UCLNs in NPC patients, and the combined model can further improve the diagnostic efficacy.
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Affiliation(s)
- L Shao
- Department of Radiology, Affiliated Hospital of Jiangnan University, Wuxi City, Jiangsu, China
| | - X Yang
- Department of Radiology, Affiliated Hospital of Jiangnan University, Wuxi City, Jiangsu, China
| | - Z Sun
- Department of Radiology, Affiliated Hospital of Jiangnan University, Wuxi City, Jiangsu, China.
| | - X Tan
- Department of Radiology, Affiliated Hospital of Jiangnan University, Wuxi City, Jiangsu, China
| | - Z Lu
- Department of Radiology, Affiliated Hospital of Jiangnan University, Wuxi City, Jiangsu, China
| | - S Hu
- Department of Radiology, Affiliated Hospital of Jiangnan University, Wuxi City, Jiangsu, China
| | - W Dou
- General Electric (GE) Healthcare, MR Research China, Beijing, China
| | - S Duan
- General Electric (GE) Healthcare China, Shanghai, China
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Chen W, Ge P, Lu Z, Liu X, Cao M, Yan Z, Chen M. Acute exposure to seasonal PM 2.5 induces toxicological responses in A549 cells cultured at the air-liquid interface mediated by oxidative stress and endoplasmic reticulum stress. Environ Res 2024; 248:118283. [PMID: 38253190 DOI: 10.1016/j.envres.2024.118283] [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: 12/05/2023] [Revised: 01/18/2024] [Accepted: 01/19/2024] [Indexed: 01/24/2024]
Abstract
Atmospheric fine particulate matter (PM2.5) enters the human body through respiration and poses a threat to human health. This is not only dependent on its mass concentration in the atmosphere, but also related to seasonal variations in its chemical components, which makes it important to study the cytotoxicity of PM2.5 in different seasons. Traditional immersion exposure cannot simulate the living environment of human epithelial cells in the human body, making this method unsuitable for evaluating the inhalation toxicity of PM2.5. In this study, a novel air-liquid interface (ALI) particulate matter exposure device (VITROCELL Cloud 12 system) was used to evaluate the toxic effects and potential mechanisms of human lung epithelial cells (A549) after exposure to seasonal PM2.5. PM2.5 samples from four seasons were collected and analyzed for chemical components. After 6 h of exposure to seasonal PM2.5, winter PM2.5 exhibited the highest cytotoxicity among most toxicity indicators, especially apoptosis rate, reactive oxygen species (ROS), inflammatory responses and DNA damage (γ-H2AX). The effect of autumn PM2.5 on apoptosis rate was significantly higher than that in spring, and there was no significant difference in other toxicity indicators between spring and autumn. The cytotoxicity of summer PM2.5 was the lowest among the four seasons. It should be noted that even exposure to low doses of summer PM2.5 leads to significant DNA damage in A459 cells. Correlation analysis results showed that water-soluble ions, metallic elements, and polycyclic aromatic hydrocarbons (PAHs) were associated with most toxicological endpoints. Inhibitors of oxidative stress and endoplasmic reticulum (ER) stress significantly inhibited cellular damage, indicating that PM2.5-induced cytotoxicity may be related to the generation of ROS and ER stress. In addition, PM2.5 can induce ER stress through oxidative stress, which ultimately leads to apoptosis.
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Affiliation(s)
- Wankang Chen
- Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control, Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, School of Environmental Science and Engineering, Nanjing University of Information Science & Technology, Nanjing, 210044, China
| | - Pengxiang Ge
- Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control, Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, School of Environmental Science and Engineering, Nanjing University of Information Science & Technology, Nanjing, 210044, China
| | - Zhenyu Lu
- Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control, Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, School of Environmental Science and Engineering, Nanjing University of Information Science & Technology, Nanjing, 210044, China
| | - Xiaoming Liu
- Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control, Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, School of Environmental Science and Engineering, Nanjing University of Information Science & Technology, Nanjing, 210044, China
| | - Maoyu Cao
- School of Atmospheric Sciences, Nanjing University, Nanjing, 210023, China
| | - Zhansheng Yan
- Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control, Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, School of Environmental Science and Engineering, Nanjing University of Information Science & Technology, Nanjing, 210044, China
| | - Mindong Chen
- Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control, Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, School of Environmental Science and Engineering, Nanjing University of Information Science & Technology, Nanjing, 210044, China.
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3
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Wang Y, Lu Z, Tong Y, Sun R, Liu X, Chen N, Zhang M, Zhang Y, Zhang Y. A functionalized glass fiber as the adsorbent for efficient analysis of endocrine disruptors in aqueous environments. J Chromatogr A 2024; 1720:464813. [PMID: 38490142 DOI: 10.1016/j.chroma.2024.464813] [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: 11/28/2023] [Revised: 03/04/2024] [Accepted: 03/11/2024] [Indexed: 03/17/2024]
Abstract
Estrogens and bisphenols are typical endocrine disruptors (EDs) that pose a potential hazard to the human body due to their widespread presence in aqueous environments. In this study, a β-cyclodextrin porous crosslinked polymer (β-CD-PCP) was prepared in-situ on a glass fiber surface by a nucleophilic substitution reaction. An effective and sensitive solid phase microextraction method using functionalized glass fiber with β-CD-PCP coating as the adsorbent was established for the detection of 11 EDs in a water environment. The β-CD-PCP was in-situ prepared on a glass fiber surface by a nucleophilic substitution reaction. The β-CD-PCP successfully separated five estrogens (ESTs) and six bisphenols (BPs) through hydrophobic and π-π interactions. The conditions affecting extraction were optimized. Under the optimized conditions, the ESTs obtained a high enrichment effect (1795-2328), low limits of detection (0.047 µg L-1) and a good linearity range (0.2-15.0 µg L-1). Furthermore, the spiked recoveries of analyte ESTs in aqueous environments were between 82.9-115.7 %. The results indicated that the prepared functionalized glass fibers exhibited good adsorption properties, and the established analytical method was reliable for monitoring trace ESTs and BPs in aqueous environments.
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Affiliation(s)
- Yingying Wang
- School of Chemistry and Chemical Engineering, Henan Institute of Science and Technology, Xinxiang 453000, PR China
| | - Zhenyu Lu
- School of Chemistry and Chemical Engineering, Henan Institute of Science and Technology, Xinxiang 453000, PR China
| | - Yayan Tong
- School of Chemistry and Chemical Engineering, Henan Institute of Science and Technology, Xinxiang 453000, PR China
| | - Run Sun
- School of Chemistry and Chemical Engineering, Henan Institute of Science and Technology, Xinxiang 453000, PR China
| | - Xue Liu
- School of Chemistry and Chemical Engineering, Henan Institute of Science and Technology, Xinxiang 453000, PR China
| | - Na Chen
- School of Chemistry and Chemical Engineering, Henan Institute of Science and Technology, Xinxiang 453000, PR China
| | - Mingxia Zhang
- School of Life Science, Henan Institute of Science and Technology, Xinxiang 453000, PR China
| | - Yijun Zhang
- School of Chemistry and Chemical Engineering, Henan Institute of Science and Technology, Xinxiang 453000, PR China.
| | - Yuping Zhang
- College of Chemistry and Materials Engineering, Hunan University of Arts and Science, Changde 415000, PR China.
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Chen W, Ge P, Deng M, Liu X, Lu Z, Yan Z, Chen M, Wang J. Toxicological responses of A549 and HCE-T cells exposed to fine particulate matter at the air-liquid interface. Environ Sci Pollut Res Int 2024:10.1007/s11356-024-32944-4. [PMID: 38512571 DOI: 10.1007/s11356-024-32944-4] [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: 11/27/2023] [Accepted: 03/12/2024] [Indexed: 03/23/2024]
Abstract
Fine particulate matter (PM2.5) can enter the human body in various ways and have adverse effects on human health. Human lungs and eyes are exposed to the air for a long time and are the first to be exposed to PM2.5. The "liquid immersion exposure method" has some limitations that prevent it from fully reflecting the toxic effects of particulate matter on the human body. In this study, the collected PM2.5 samples were chemically analyzed. An air-liquid interface (ALI) model with a high correlation to the in vivo environment was established based on human lung epithelial cells (A549) and immortalized human corneal epithelial cells (HCE-T). The VITROCELL Cloud 12 system was used to distribute PM2.5 on the cells evenly. After exposure for 6 h and 24 h, cell viability, apoptosis rate, reactive oxygen species (ROS) level, expression of inflammatory factors, and deoxyribonucleic acid (DNA) damage were measured. The results demonstrated significant dose- and time-dependent effects of PM2.5 on cell viability, cell apoptosis, ROS generation, and DNA damage at the ALI, while the inflammatory factors showed dose-dependent effects only. It should be noted that even short exposure to low doses of PM2.5 can cause cell DNA double-strand breaks and increased expression of γ-H2AX, indicating significant genotoxicity of PM2.5. Increased abundance of ROS in cells plays a crucial role in the cytotoxicity induced by PM2.5 exposure These findings emphasize the significant cellular damage and genotoxicity that may result from short-term exposure to low levels of PM2.5.
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Affiliation(s)
- Wankang Chen
- Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control, Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, School of Environmental Science and Engineering, Nanjing University of Information Science & Technology, Nanjing, 210044, China
| | - Pengxiang Ge
- Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control, Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, School of Environmental Science and Engineering, Nanjing University of Information Science & Technology, Nanjing, 210044, China
| | - Minjun Deng
- Ningxia Meteorological Service Center, Yinchuan, 750002, China
| | - Xiaoming Liu
- Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control, Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, School of Environmental Science and Engineering, Nanjing University of Information Science & Technology, Nanjing, 210044, China
| | - Zhenyu Lu
- Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control, Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, School of Environmental Science and Engineering, Nanjing University of Information Science & Technology, Nanjing, 210044, China
| | - Zhansheng Yan
- Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control, Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, School of Environmental Science and Engineering, Nanjing University of Information Science & Technology, Nanjing, 210044, China
| | - Mindong Chen
- Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control, Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, School of Environmental Science and Engineering, Nanjing University of Information Science & Technology, Nanjing, 210044, China.
| | - Junfeng Wang
- Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control, Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, School of Environmental Science and Engineering, Nanjing University of Information Science & Technology, Nanjing, 210044, China
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Zhu X, Li L, Lu Z, Zhu J, Lu L, Wang Z, Xiang M, Lu G, Dang Z, Yu Y. Insight into the interaction of tetrabromobisphenol A with sediment-derived dissolved organic carbon in a multiphase system by direct immersion solid phase microextraction. Sci Total Environ 2024; 912:169037. [PMID: 38056667 DOI: 10.1016/j.scitotenv.2023.169037] [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: 07/17/2023] [Revised: 11/20/2023] [Accepted: 11/30/2023] [Indexed: 12/08/2023]
Abstract
Tetrabromobisphenol A (TBBPA), a ubiquitously used commercial brominated flame retardant (BFR), has been widely detected in aquatic environments, and has aroused much attention due to its potential adverse effects on aquatic organisms. However, current research on the environmental fate and transport of TBBPA in the sediment-dissolved organic carbon (DOC)-water polyphase system is lacking. In this study, the sorption behavior of TBBPA in a water-DOC-sediment system was investigated using the direct-immersion solid-phase microextraction (DI-SPME) method, and the free dissolved concentration (Cw-SPME) and DOC adsorption concentration (CDOC) of TBBPA in water were measured by applying this DI-SPME approach. In addition, the effects of pH, ionic strength, and soluble organic concentration on the adsorption of TBBPA in the multiphase system were evaluated. The adsorption kinetics experimental results show that the adsorption behavior of TBBPA on sediments conforms to a linear model, suggesting that it could be mainly absorbed by sediments. The solid-water partition coefficient (Kd) of TBBPA was artificially reduced 1.54 times using the traditional liquid-liquid extraction method because the sorption behavior of the DOC was ignored, which could be accurately corrected using the DI-SPME method. The logKd and logKOC of TBBPA in the multiphase system were 4.12 ± 0.25 and 6.48 ± 0.25, respectively. Finally, the interference experiment revealed that the sorption behavior of TBBPA was affected by the pH, ionic strength (calcium ion), and humic acid concentration, apart from the lead ion concentration itself.
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Affiliation(s)
- Xiaohui Zhu
- State Environmental Protection Key Laboratory of Environmental Pollution Health Risk Assessment, South China Institute of Environmental Sciences, Ministry of Ecology and Environment, Guangzhou 510655, PR China; School of Environment and Energy, South China University of Technology, Guangzhou 510006, PR China
| | - Liangzhong Li
- State Environmental Protection Key Laboratory of Environmental Pollution Health Risk Assessment, South China Institute of Environmental Sciences, Ministry of Ecology and Environment, Guangzhou 510655, PR China
| | - Zhenyu Lu
- School of Chemistry and Chemical Engineering, Henan Institute of Science and Technology, Xinxiang 453003, PR China
| | - Junyan Zhu
- State Environmental Protection Key Laboratory of Environmental Pollution Health Risk Assessment, South China Institute of Environmental Sciences, Ministry of Ecology and Environment, Guangzhou 510655, PR China
| | - Lun Lu
- State Environmental Protection Key Laboratory of Environmental Pollution Health Risk Assessment, South China Institute of Environmental Sciences, Ministry of Ecology and Environment, Guangzhou 510655, PR China
| | - Zhengdong Wang
- State Environmental Protection Key Laboratory of Environmental Pollution Health Risk Assessment, South China Institute of Environmental Sciences, Ministry of Ecology and Environment, Guangzhou 510655, PR China; School of Environment and Energy, South China University of Technology, Guangzhou 510006, PR China
| | - Mingdeng Xiang
- State Environmental Protection Key Laboratory of Environmental Pollution Health Risk Assessment, South China Institute of Environmental Sciences, Ministry of Ecology and Environment, Guangzhou 510655, PR China
| | - Guining Lu
- School of Environment and Energy, South China University of Technology, Guangzhou 510006, PR China
| | - Zhi Dang
- School of Environment and Energy, South China University of Technology, Guangzhou 510006, PR China
| | - Yunjiang Yu
- State Environmental Protection Key Laboratory of Environmental Pollution Health Risk Assessment, South China Institute of Environmental Sciences, Ministry of Ecology and Environment, Guangzhou 510655, PR China.
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Luo J, Zeng C, Lu Z, Qi W. Editorial: Sensing and control for efficient human-robot collaboration. Front Neurorobot 2024; 18:1370415. [PMID: 38444980 PMCID: PMC10912567 DOI: 10.3389/fnbot.2024.1370415] [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] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2024] [Accepted: 02/06/2024] [Indexed: 03/07/2024] Open
Affiliation(s)
- Jing Luo
- School of Automation, Wuhan University of Technology, Wuhan, China
| | - Chao Zeng
- Department of Informatics, Universität Hamburg, Hamburg, Germany
| | - Zhenyu Lu
- Bristol Robotics Laboratory, University of the West of England, Bristol, United Kingdom
| | - Wen Qi
- School of Future Technology, South China University of Technology, Guangzhou, China
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7
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Huang L, Lu Z, Wang J, Bao H, Zhang H, Jiang M. Complete chloroplast genome of Tricyrtis xianjuensis Li, Chen & Ma 2014 (Liliaceae): a species endemic to Zhejiang province, China. Mitochondrial DNA B Resour 2024; 9:60-65. [PMID: 38197054 PMCID: PMC10776049 DOI: 10.1080/23802359.2023.2301021] [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: 10/24/2023] [Accepted: 12/27/2023] [Indexed: 01/11/2024] Open
Abstract
Tricyrtis xianjuensis Li, Chen & Ma 2014 is a rare and endangered species endemic to Zhejiang province, with fewer than 200 individuals in the wild. In our present study, the complete chloroplast genome of T. xianjuensis was assembled by using high-throughput sequencing data, and its genomic features were described and comparative genomic analyses within Liliaceae family were performed. The complete chloroplast genome of T. xianjuensis was 155,748 bp in length, exhibiting a GC content of 37.3%. This genome structure contained two inverted repeats (IRs), as well as a small single-copy (SSC) and a large single-copy (LSC) region. The IR region measured 26,371 bp, while the SSC and LSC regions were 17,729 bp and 85,277 bp in length, respectively. A total of 137 genes were identified, including 85 protein-coding genes, 38 tRNA genes, eight rRNA genes, and six pseudogenes. Phylogenic analysis revealed T. xianjuensis shared a clade with T. formosana Baker 1879 and T. macropoda Miq. 1867, with a support rate of 100%. The assembly and analysis of T. xianjuensis chloroplast genome provided an insight into further studies on the conservation genetics of this endangered species.
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Affiliation(s)
- Leqin Huang
- College of Life Sciences, Taizhou University, Taizhou, China
| | - Zhenyu Lu
- College of Life Sciences, Taizhou University, Taizhou, China
| | - Junfeng Wang
- Scientific Research Management Center, East China Medicinal Botanical Garden, Lishui, China
| | - Honghua Bao
- Taizhou Municipal Ecology and Environment Bureau, Taizhou, China
| | - Huijuan Zhang
- College of Life Sciences, Taizhou University, Taizhou, China
| | - Ming Jiang
- College of Life Sciences, Taizhou University, Taizhou, China
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Lu Z, Bian Y, Yang T, Ge Q, Wang Y. A New Siamese Heterogeneous Convolutional Neural Networks Based on Attention Mechanism and Feature Pyramid. IEEE Trans Cybern 2024; 54:13-24. [PMID: 37021890 DOI: 10.1109/tcyb.2022.3207431] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/19/2023]
Abstract
Accuracy and speed are the most important indexes for evaluating many object tracking algorithms. However, when constructing a deep fully convolutional neural network (CNN), the use of deep network feature tracking will cause tracking drift due to the effects of convolution padding, receptive field (RF), and overall network step size. The speed of the tracker will also decrease. This article proposes a fully convolutional siamese network object tracking algorithm that combines the attention mechanism with the feature pyramid network (FPN), and uses heterogeneous convolution kernels to reduce the amount of calculations (FLOPs) and parameters. The tracker first uses a new fully CNN to extract image features, and introduces a channel attention mechanism in the feature extraction process to improve the representation ability of convolutional features. Then use the FPN to fuse the convolutional features of high and low layers, learn the similarity of the fused features, and train the fully CNNs. Finally, the heterogeneous convolutional kernel is used to replace the standard convolution kernel to improve the speed of the algorithm, thereby making up for the efficiency loss caused by the feature pyramid model. In this article, the tracker is experimentally verified and analyzed on the VOT-2017, VOT-2018, OTB-2013, and OTB-2015 datasets. The results show that our tracker has achieved better results than the state-of-the-art trackers.
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Yan Z, Ge P, Lu Z, Liu X, Cao M, Chen W, Chen M. The Cytotoxic Effects of Fine Particulate Matter (PM 2.5) from Different Sources at the Air-Liquid Interface Exposure on A549 Cells. Toxics 2023; 12:21. [PMID: 38250977 PMCID: PMC10821317 DOI: 10.3390/toxics12010021] [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: 11/27/2023] [Revised: 12/17/2023] [Accepted: 12/22/2023] [Indexed: 01/23/2024]
Abstract
The health of humans has been negatively impacted by PM2.5 exposure, but the chemical composition and toxicity of PM2.5 might vary depending on its source. To investigate the toxic effects of particulate matter from different sources on lung epithelial cells (A549), PM2.5 samples were collected from residential, industrial, and transportation areas in Nanjing, China. The chemical composition of PM2.5 was analyzed, and toxicological experiments were conducted. The A549 cells were exposed using an air-liquid interface (ALI) exposure system, and the cytotoxic indicators of the cells were detected. The research results indicated that acute exposure to different sources of particulate matter at the air-liquid interface caused damage to the cells, induced the production of ROS, caused apoptosis, inflammatory damage, and DNA damage, with a dose-effect relationship. The content of heavy metals and PAHs in PM2.5 from the traffic source was relatively high, and the toxic effect of the traffic-source samples on the cells was higher than that of the industrial- and residential-source samples. The cytotoxicity of particulate matter was mostly associated with water-soluble ions, carbon components, heavy metals, PAHs, and endotoxin, based on the analysis of the Pearson correlation. Oxidative stress played an important role in PM2.5-induced biological toxicity.
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Affiliation(s)
- Zhansheng Yan
- Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control, School of Environmental Science and Engineering, Nanjing University of Information Science & Technology, Nanjing 210044, China; (Z.Y.); (P.G.); (X.L.); (W.C.)
| | - Pengxiang Ge
- Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control, School of Environmental Science and Engineering, Nanjing University of Information Science & Technology, Nanjing 210044, China; (Z.Y.); (P.G.); (X.L.); (W.C.)
| | - Zhenyu Lu
- Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control, School of Environmental Science and Engineering, Nanjing University of Information Science & Technology, Nanjing 210044, China; (Z.Y.); (P.G.); (X.L.); (W.C.)
| | - Xiaoming Liu
- Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control, School of Environmental Science and Engineering, Nanjing University of Information Science & Technology, Nanjing 210044, China; (Z.Y.); (P.G.); (X.L.); (W.C.)
| | - Maoyu Cao
- School of Atmospheric Sciences, Nanjing University, Nanjing 210023, China;
| | - Wankang Chen
- Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control, School of Environmental Science and Engineering, Nanjing University of Information Science & Technology, Nanjing 210044, China; (Z.Y.); (P.G.); (X.L.); (W.C.)
| | - Mindong Chen
- Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control, School of Environmental Science and Engineering, Nanjing University of Information Science & Technology, Nanjing 210044, China; (Z.Y.); (P.G.); (X.L.); (W.C.)
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10
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Liu S, Sharp A, Lu Z, Ma ZF. Maternal iodine intake and adherence to iodine supplement recommendations in a group of Chinese women: the results from the WIN cohort study - CORRIGENDUM. Proc Nutr Soc 2023; 82:492. [PMID: 37078399 DOI: 10.1017/s0029665123002768] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/21/2023]
Affiliation(s)
- S Liu
- Department of Health and Environmental Sciences, Xi'an Jiaotong-Liverpool University, Suzhou, China
- Harris-Wellbeing Research Centre, Faculty of Health & Life Sciences, University of Liverpool, Liverpool, UK
| | - A Sharp
- Harris-Wellbeing Research Centre, Faculty of Health & Life Sciences, University of Liverpool, Liverpool, UK
| | - Z Lu
- Department of Biological Sciences, Xi'an Jiaotong-Liverpool University, Suzhou, China
| | - Z F Ma
- Department of Health and Environmental Sciences, Xi'an Jiaotong-Liverpool University, Suzhou, China
- Centre for Public Health and Wellbeing, School of Health and Social Wellbeing, College of Health, Science and Society, University of the West of England, Bristol, UK
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11
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Zhou C, Lu Z, Lv Z, Meng M, Tan Y, Xia K, Liu K, Zuo H. Metal surface defect detection based on improved YOLOv5. Sci Rep 2023; 13:20803. [PMID: 38012224 PMCID: PMC10681978 DOI: 10.1038/s41598-023-47716-2] [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: 07/05/2023] [Accepted: 11/17/2023] [Indexed: 11/29/2023] Open
Abstract
During the production of metal material, various complex defects may come into being on the surface, together with large amount of background texture information, causing false or missing detection in the process of small defect detection. To resolve those problems, this paper introduces a new model which combines the advantages of CSPlayer module and Global Attention Enhancement Mechanism based on the YOLOv5s model. First of all, we replace C3 module with CSPlayer module to augment the neural network model, so as to improve its flexibility and adaptability. Then, we introduce the Global Attention Mechanism (GAM) and build the generalized additive model. In the meanwhile, the attention weights of all dimensions are weighted and averaged as output to promote the detection speed and accuracy. The results of the experiment in which the GC10-DET augmented dataset is involved, show that the improved algorithm model performs better than YOLOv5s in precision, mAP@0.5 and mAP@0.5: 0.95 by 5.3%, 1.4% and 1.7% respectively, and it also has a higher reasoning speed.
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Affiliation(s)
- Chuande Zhou
- School of Mechanical and Power Engineering, Chongqing University of Science and Technology, Chongqing, 401331, China
| | - Zhenyu Lu
- School of Mechanical and Power Engineering, Chongqing University of Science and Technology, Chongqing, 401331, China
| | - Zhongliang Lv
- School of Mechanical and Power Engineering, Chongqing University of Science and Technology, Chongqing, 401331, China.
| | - Minghui Meng
- School of Mechanical and Power Engineering, Chongqing University of Science and Technology, Chongqing, 401331, China
| | - Yonghu Tan
- School of Mechanical and Power Engineering, Chongqing University of Science and Technology, Chongqing, 401331, China
| | - Kewen Xia
- School of Mechanical and Power Engineering, Chongqing University of Science and Technology, Chongqing, 401331, China
| | - Kang Liu
- School of Mechanical and Power Engineering, Chongqing University of Science and Technology, Chongqing, 401331, China
| | - Hailun Zuo
- School of Mechanical and Power Engineering, Chongqing University of Science and Technology, Chongqing, 401331, China
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12
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Yan S, Tu CY, Du CY, Luo J, Liu JF, Liu TQ, Liu Q, Liu J, Li XH, Wang LC, Fang ZP, Yi WM, Chen YJ, Li QL, Ni Y, Wu JC, Qin CJ, Gu YL, Lu Z, Lun ZJ, Du LX, Chen G, Zheng QC, Sun KJ, Han WQ, Yu J. [Effect of recombinant human thrombin for hemostasis in liver resection: a randomized controlled phase Ⅲ clinical trial]. Zhonghua Yi Xue Za Zhi 2023; 103:3416-3423. [PMID: 37963740 DOI: 10.3760/cma.j.cn112137-20230911-00438] [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] [Subscribe] [Scholar Register] [Indexed: 11/16/2023]
Abstract
Objective: To evaluate the hemostatic efficacy, safety and immunogenicity of recombinant human thrombin in the treatment of liver wounds that still ooze after conventional surgical hemostasis. Methods: A multicenter, stratified randomized, double-blind, placebo-controlled phase Ⅲ trial with a planned enrollment of 510 subjects at 33 centers, with a 2∶1 randomization to the thrombin group versus the placebo group. An interim analysis will be conducted after approximately 70% of the subjects have completed the observation period. The primary efficacy endpoint was the rate of hemostasis within 6 minutes at the point of bleeding that could be evaluated. Safety analysis was performed one month after surgery, and the positive rates of anti-drug antibody (ADA) and neutralizing antibody were evaluated. Results: At the interim analysis, a total of 348 subjects had been randomized and received the study drug (215 were male and 133 were female). They were aged 19-69 (52.9±10.9)years. Among them, 232 were in the thrombin group and 116 were in the placebo group, with balanced and comparable demographics and baseline characteristics between the two groups. The hemostasis rate at 6 minutes was 71.6% (95%CI:65.75%-77.36%) in the thrombin group and 44.0% (95%CI: 34.93%-53.00%) in the placebo group, respectively (P<0.001). No grade≥3 drug-related adverse events and no drug-related deaths were reported from the study.No recombinant human thrombin-induced immunologically-enhanced ADA or immunologically-induced ADA was detected after topical use in subjects. Conclusion: Recombinant human thrombin has shown significant hemostatic efficacy and good safety in controlling bleeding during liver resection surgery, while also demonstrating low immunogenicity characteristics.
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Affiliation(s)
- S Yan
- Department of Hepatobiliary and Pancreatic Surgery, the Second Hospital of Zhejiang University School of Medicine, Hangzhou 310003, China
| | - C Y Tu
- Department of General Surgery, Lishui Central Hospital, Lishui 323020, China
| | - C Y Du
- Department of Hepatobiliary Surgery, the First Affiliated Hospital of Chongqing Medical University, Chongqing 400042, China
| | - J Luo
- Department of Hepatobiliary and Intestinal Surgery, Hunan Cancer Hospital, Changsha 410031, China
| | - J F Liu
- Department of Hepatobiliary and Pancreatic Surgery, Mengchao Hepatobiliary Hospital of Fujian Medical University, Fuzhou 350025, China
| | - T Q Liu
- Department of General Surgery, Jiangbin Hospital of Guangxi Zhuang Autonomous Region, Nanning 530021, China
| | - Q Liu
- Department of Hepatobiliary Surgery, Liuzhou People's Hospital, Liuzhou 545006, China
| | - J Liu
- Department of Hepatobiliary Surgery, Guizhou Provicial People's Hospital, Guiyang 550002, China
| | - X H Li
- Department of Hepatobiliary Surgery, Liaocheng People's Hospital, Liaocheng 252000, China
| | - L C Wang
- Department of General Surgery, the Third People's Hospital of Hainan Province, Sanya 572000, China
| | - Z P Fang
- Department of Hepatobiliary Surgery, Taizhou Hospital of Zhejiang Province, Linhai 317099, China
| | - W M Yi
- Department of Hepatobiliary Surgery, Hunan Provincial People's Hospital, Changsha 410005, China
| | - Y J Chen
- Department of Hepatobiliary Surgery, Sun Yat-sen Memorial Hospital of Sun Yat-sen University, Guangzhou 510120, China
| | - Q L Li
- Department of Hepatobiliary and Pancreatic Surgery, the Second Xiangya Hospital of Central South University, Changsha 410011, China
| | - Y Ni
- Department of Hepatobiliary and Pancreatic Surgery, Shenzhen Second People's Hospital, Shenzhen 518035, China
| | - J C Wu
- Department of Hepatobiliary Surgery, Hainan Provincial People's Hospital, Haikou 570311, China
| | - C J Qin
- Department of General Surgery, Huaihe Hospital of Henan University, Kaifeng 475000, China
| | - Y L Gu
- Department of Hepatobiliary Surgery, Affiliated Hospital of Jiangnan Univeisity, Wuxi 214122, China
| | - Z Lu
- Department of Hepatobiliary Surgery, the First Affiliated Hospital of Bengbu Medical College, Bengbu 233004, China
| | - Z J Lun
- Department of Hepatobiliary Vascular Surgery, Zaozhuang Municipal Hospital, Zaozhuang 277101, China
| | - L X Du
- Department of Hepatobiliary Surgery, Shanxi Provincial People's Hospital, Xi'an 710068, China
| | - G Chen
- Department of Hepatobiliary and Pancreatic Surgery, the First People's Hospital of Kunming, Kunming 650034, China
| | - Q C Zheng
- Department of Hepatobiliary Surgery, Union Hospital Affiliated to Tongji Medical College of Huazhong University of Science and Technology, Wuhan 430022, China
| | - K J Sun
- Department of Hepatobiliary Surgery, Zibo Central Hospital, Zibo 255036, China
| | - W Q Han
- Department of Urinary Surgery, Hunan Cancer Hospital, Changsha 410031, China
| | - J Yu
- Department of Hepatobiliary and Pancreatic Surgery, the First Hospital of Zhejiang University School of Medicine, Hangzhou 310003, China
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13
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Huang L, Lu Z, Wang J, Zhang H, Jiang M. Complete chloroplast genome of a traditional medicinal plant Luisia hancockii Rolfe 1896: genomic features and phylogenetic relationship within subtribe Aeridinae (Orchidaceae). Mitochondrial DNA B Resour 2023; 8:1149-1153. [PMID: 38188444 PMCID: PMC10769519 DOI: 10.1080/23802359.2023.2275334] [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: 09/11/2023] [Accepted: 10/19/2023] [Indexed: 01/09/2024] Open
Abstract
Luisia hancockii Rolfe 1896 is an epiphytic orchid species. In our present study, the whole chloroplast genome sequence of L. hancockii was de novo assembled by using high-throughput Illumina reads, and phylogenetic analysis was conducted within species of subtribe Aeridinae. The complete chloroplast genome sequence of L. hancockii was 146,243 bp in length, with a typical quadripartite structure, and its large single-copy, small single-copy, and inverted repeat were 84,441 bp, 11,412 bp, and 25,195 bp long, respectively. The GC content of the whole chloroplast genome was 36.6%, while the GC contents of LSC, SSC, and IR were 33.8%, 27.5%, and 43.3%, respectively. The chloroplast genome consisted of 129 genes, including 74 protein-coding genes, eight rRNAs, 38 tRNAs, and nine pseudogenes. Phylogenic tree was generated using the best model GTR + R, and the results showed that L. hancockii was sister to Holcoglossum and Vanda species, with a support of 100%.
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Affiliation(s)
- Leqin Huang
- College of Life Sciences, Taizhou University, Taizhou, China
| | - Zhenyu Lu
- College of Life Sciences, Taizhou University, Taizhou, China
| | - Junfeng Wang
- Scientific Research Management Center, East China Medicinal Botanical Garden, Lishui, China
| | - Huijuan Zhang
- College of Life Sciences, Taizhou University, Taizhou, China
| | - Ming Jiang
- College of Life Sciences, Taizhou University, Taizhou, China
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14
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Liang J, Bao D, Ye Z, Cao B, Jin G, Lu Z, Chen J. miR-3195 suppresses the malignant progression of osteosarcoma cells via targeting SOX4. J Orthop Surg Res 2023; 18:809. [PMID: 37904207 PMCID: PMC10614315 DOI: 10.1186/s13018-023-04321-3] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/15/2023] [Accepted: 10/25/2023] [Indexed: 11/01/2023] Open
Abstract
BACKGROUND Osteosarcoma (OS) is a highly invasive primary malignancy of the bone that is common in children and adolescents. MicroRNAs (miRNAs) are novel diagnostic and predictive biomarkers for cancers. The miRNA miR-3195 is aberrantly expressed in multiple types of tumors. However, the expression levels and biological functions of miR-3195 in OS remain unclear. METHODS Two Gene Expression Omnibus (GEO) datasets (GSE69470 and GSE16088) were used to analyze differentially expressed miRNAs and mRNAs in osteosarcoma cell lines and OS tissues. Quantitative RT-PCR was used to detect the expression levels of miR-3195 and the SRY-box transcription factor 4 (SOX4) mRNA in OS tissues and cell lines. The relationship between miR-3195 and the 3'-upstream region (3'-UTR) in the SOX4 mRNA (predicted through bioinformatics) was analyzed using Pearson's correlation analysis and confirmed by a dual-luciferase reporter gene experiment. Cell counting kit-8 assays, colony formation assays, flow cytometry, wound healing assays, transwell assays, and western blotting were performed to explore the effects of miR-3195 levels on SOX4 affected OS cell biological behavior. RESULTS Our results revealed that miR-3195 was the most down-regulated miRNA and SOX4 was the most up-regulated mRNA by Bioinformatic analysis. It was further confirmed miR-3195 had low expression, and SOX4 had high expression levels in clinical OS tissue samples; the expression levels of both genes were negatively correlated with each other in OS tissues. Overexpression of miR-3195 in OS cell lines significantly inhibited cell proliferation, migration, and invasiveness, while promoting apoptosis; all these effects were reversed by increasing SOX4 expression levels. We also found that miR-3195 could directly bind with the SOX4 gene and down-regulate SOX4 expression. CONCLUSIONS miR-3195 can modulate proliferation, migration, invasiveness, and apoptosis in OS cells by regulating the SOX4 gene. Thus, the miR-3195/SOX4 signaling may be a novel therapeutic target in OS treatment.
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Affiliation(s)
- Jianwei Liang
- Department of Orthopedics, The First People's Hospital of Taizhou, No.218 Hengjie Road, Huangyan District, Taizhou City, 318020, Zhejiang Province, China
| | - Dandan Bao
- Department of Pharmacy, The First People's Hospital of Taizhou, No.218 Hengjie Road, Huangyan District, Taizhou City, 318020, Zhejiang Province, China
| | - Zhan Ye
- Department of Orthopedics, The First People's Hospital of Taizhou, No.218 Hengjie Road, Huangyan District, Taizhou City, 318020, Zhejiang Province, China
| | - Binhao Cao
- Department of Orthopedics, The First People's Hospital of Taizhou, No.218 Hengjie Road, Huangyan District, Taizhou City, 318020, Zhejiang Province, China
| | - Guojun Jin
- Department of Orthopedics, The First People's Hospital of Taizhou, No.218 Hengjie Road, Huangyan District, Taizhou City, 318020, Zhejiang Province, China
| | - Zhenyu Lu
- Department of Orthopedics, The First People's Hospital of Taizhou, No.218 Hengjie Road, Huangyan District, Taizhou City, 318020, Zhejiang Province, China
| | - Jianjun Chen
- Department of Orthopedics, The First People's Hospital of Taizhou, No.218 Hengjie Road, Huangyan District, Taizhou City, 318020, Zhejiang Province, China.
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15
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Chanfreau-Coffinier C, Friede KA, Plomondon ME, Lee KM, Lu Z, Lynch JA, DuVall SL, Vassy JL, Waldo SW, Cleator JH, Maddox TM, Rader DJ, Assimes TL, Damrauer SM, Tsao PS, Chang KM, Voora D, Giri J, Tuteja S. CYP2C19 Polymorphisms and Clinical Outcomes Following Percutaneous Coronary Intervention (PCI) in the Million Veterans Program. medRxiv 2023:2023.10.25.23297578. [PMID: 37961335 PMCID: PMC10635203 DOI: 10.1101/2023.10.25.23297578] [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] [Indexed: 11/15/2023]
Abstract
Background CYP2C19 loss-of-function (LOF) alleles decrease the antiplatelet effect of clopidogrel following percutaneous coronary intervention (PCI) in patients presenting with acute coronary syndrome (ACS). The impact of genotype in stable ischemic heart disease (SIHD) is unclear. Objectives Determine the association of CYP2C19 genotype with major adverse cardiac events (MACE) after PCI for ACS or SIHD. Methods Million Veterans Program (MVP) participants age <65 years with a PCI documented in the VA Clinical Assessment, Reporting and Tracking (CART) Program between 1/1/2009 to 9/30/2017, treated with clopidogrel were included. Time to MACE defined as the composite of all-cause death, stroke or myocardial infarction within 12 months following PCI. Results Among 4,461 Veterans (mean age 59.1 ± 5.1 years, 18% Black); 44% had ACS, 56% had SIHD and 29% carried a CYP2C19 LOF allele. 301 patients (6.7%) experienced MACE while being treated with clopidogrel, 155 (7.9%) in the ACS group and 146 (5.9%) in the SIHD group. Overall, MACE was not significantly different between LOF carriers vs. noncarriers (adjusted hazard ratio [HR] 1.18, confidence interval [95%CI] 0.97-1.45, p=0.096). Among patients presenting with ACS, MACE risk in LOF carriers versus non-carriers was numerically higher (HR 1.30, 95%CI 0.98-1.73, p=0.067). There was no difference in MACE risk in patients with SIHD (HR 1.09, 95%CI 0.82-1.44; p=0.565). Conclusions CYP2C19 LOF carriers presenting with ACS treated with clopidogrel following PCI experienced a numerically greater elevated risk of MACE events. CYP2C19 LOF genotype is not associated with MACE among patients presenting with SIHD.
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Affiliation(s)
| | - Kevin A. Friede
- Division of Cardiology, University of North Carolina School of Medicine, Chapel Hill, NC
| | - Mary E. Plomondon
- CART Program, Office of Quality and Patient Safety, Veterans Health Administration, Washington, DC
| | - Kyung Min Lee
- VA Salt Lake City Heath Care System, Salt Lake City, UT
| | - Zhenyu Lu
- VA Salt Lake City Heath Care System, Salt Lake City, UT
| | - Julie A. Lynch
- VA Salt Lake City Heath Care System, Salt Lake City, UT
- Division of Epidemiology, University of Utah School of Medicine, Salt Lake City, UT
| | - Scott L. DuVall
- VA Salt Lake City Heath Care System, Salt Lake City, UT
- Division of Epidemiology, University of Utah School of Medicine, Salt Lake City, UT
| | - Jason L. Vassy
- VA Boston Healthcare System, Harvard Medical School, and Brigham and Women’s Hospital, Boston, MA
| | - Stephen W. Waldo
- CART Program, Office of Quality and Patient Safety, Veterans Health Administration, Washington, DC
- Rocky Mountain Regional VA Medical Center and University of Colorado School of Medicine, Aurora, CO
| | | | - Thomas M. Maddox
- Washington University School of Medicine in St. Louis, St. Louis, MO
| | - Daniel J. Rader
- University of Pennsylvania Perelman School of Medicine, Philadelphia, PA
| | | | - Scott M. Damrauer
- University of Pennsylvania Perelman School of Medicine, Philadelphia, PA
- Corporal Michael J. Crescenz VA Medical Center, Philadelphia, PA
| | - Philip S. Tsao
- VA Palo Alto Healthcare System and Stanford University, Palo Alto, CA
| | - Kyong-Mi Chang
- University of Pennsylvania Perelman School of Medicine, Philadelphia, PA
- Corporal Michael J. Crescenz VA Medical Center, Philadelphia, PA
| | - Deepak Voora
- Durham VA Healthcare System and Duke University, Durham, NC
| | - Jay Giri
- University of Pennsylvania Perelman School of Medicine, Philadelphia, PA
- Corporal Michael J. Crescenz VA Medical Center, Philadelphia, PA
| | - Sony Tuteja
- University of Pennsylvania Perelman School of Medicine, Philadelphia, PA
- Corporal Michael J. Crescenz VA Medical Center, Philadelphia, PA
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16
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Aguillard DP, Albahri T, Allspach D, Anisenkov A, Badgley K, Baeßler S, Bailey I, Bailey L, Baranov VA, Barlas-Yucel E, Barrett T, Barzi E, Bedeschi F, Berz M, Bhattacharya M, Binney HP, Bloom P, Bono J, Bottalico E, Bowcock T, Braun S, Bressler M, Cantatore G, Carey RM, Casey BCK, Cauz D, Chakraborty R, Chapelain A, Chappa S, Charity S, Chen C, Cheng M, Chislett R, Chu Z, Chupp TE, Claessens C, Convery ME, Corrodi S, Cotrozzi L, Crnkovic JD, Dabagov S, Debevec PT, Di Falco S, Di Sciascio G, Drendel B, Driutti A, Duginov VN, Eads M, Edmonds A, Esquivel J, Farooq M, Fatemi R, Ferrari C, Fertl M, Fienberg AT, Fioretti A, Flay D, Foster SB, Friedsam H, Froemming NS, Gabbanini C, Gaines I, Galati MD, Ganguly S, Garcia A, George J, Gibbons LK, Gioiosa A, Giovanetti KL, Girotti P, Gohn W, Goodenough L, Gorringe T, Grange J, Grant S, Gray F, Haciomeroglu S, Halewood-Leagas T, Hampai D, Han F, Hempstead J, Hertzog DW, Hesketh G, Hess E, Hibbert A, Hodge Z, Hong KW, Hong R, Hu T, Hu Y, Iacovacci M, Incagli M, Kammel P, Kargiantoulakis M, Karuza M, Kaspar J, Kawall D, Kelton L, Keshavarzi A, Kessler DS, Khaw KS, Khechadoorian Z, Khomutov NV, Kiburg B, Kiburg M, Kim O, Kinnaird N, Kraegeloh E, Krylov VA, Kuchinskiy NA, Labe KR, LaBounty J, Lancaster M, Lee S, Li B, Li D, Li L, Logashenko I, Lorente Campos A, Lu Z, Lucà A, Lukicov G, Lusiani A, Lyon AL, MacCoy B, Madrak R, Makino K, Mastroianni S, Miller JP, Miozzi S, Mitra B, Morgan JP, Morse WM, Mott J, Nath A, Ng JK, Nguyen H, Oksuzian Y, Omarov Z, Osofsky R, Park S, Pauletta G, Piacentino GM, Pilato RN, Pitts KT, Plaster B, Počanić D, Pohlman N, Polly CC, Price J, Quinn B, Qureshi MUH, Ramachandran S, Ramberg E, Reimann R, Roberts BL, Rubin DL, Santi L, Schlesier C, Schreckenberger A, Semertzidis YK, Shemyakin D, Sorbara M, Stöckinger D, Stapleton J, Still D, Stoughton C, Stratakis D, Swanson HE, Sweetmore G, Sweigart DA, Syphers MJ, Tarazona DA, Teubner T, Tewsley-Booth AE, Tishchenko V, Tran NH, Turner W, Valetov E, Vasilkova D, Venanzoni G, Volnykh VP, Walton T, Weisskopf A, Welty-Rieger L, Winter P, Wu Y, Yu B, Yucel M, Zeng Y, Zhang C. Measurement of the Positive Muon Anomalous Magnetic Moment to 0.20 ppm. Phys Rev Lett 2023; 131:161802. [PMID: 37925710 DOI: 10.1103/physrevlett.131.161802] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/10/2023] [Accepted: 09/05/2023] [Indexed: 11/07/2023]
Abstract
We present a new measurement of the positive muon magnetic anomaly, a_{μ}≡(g_{μ}-2)/2, from the Fermilab Muon g-2 Experiment using data collected in 2019 and 2020. We have analyzed more than 4 times the number of positrons from muon decay than in our previous result from 2018 data. The systematic error is reduced by more than a factor of 2 due to better running conditions, a more stable beam, and improved knowledge of the magnetic field weighted by the muon distribution, ω[over ˜]_{p}^{'}, and of the anomalous precession frequency corrected for beam dynamics effects, ω_{a}. From the ratio ω_{a}/ω[over ˜]_{p}^{'}, together with precisely determined external parameters, we determine a_{μ}=116 592 057(25)×10^{-11} (0.21 ppm). Combining this result with our previous result from the 2018 data, we obtain a_{μ}(FNAL)=116 592 055(24)×10^{-11} (0.20 ppm). The new experimental world average is a_{μ}(exp)=116 592 059(22)×10^{-11} (0.19 ppm), which represents a factor of 2 improvement in precision.
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Affiliation(s)
| | - T Albahri
- University of Liverpool, Liverpool, United Kingdom
| | - D Allspach
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
| | - A Anisenkov
- Budker Institute of Nuclear Physics, Novosibirsk, Russia
| | - K Badgley
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
| | - S Baeßler
- University of Virginia, Charlottesville, Virginia, USA
| | - I Bailey
- Lancaster University, Lancaster, United Kingdom
| | - L Bailey
- Department of Physics and Astronomy, University College London, London, United Kingdom
| | - V A Baranov
- Joint Institute for Nuclear Research, Dubna, Russia
| | - E Barlas-Yucel
- University of Illinois at Urbana-Champaign, Urbana, Illinois, USA
| | - T Barrett
- Cornell University, Ithaca, New York, USA
| | - E Barzi
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
| | | | - M Berz
- Michigan State University, East Lansing, Michigan, USA
| | - M Bhattacharya
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
| | - H P Binney
- University of Washington, Seattle, Washington, USA
| | - P Bloom
- North Central College, Naperville, Illinois, USA
| | - J Bono
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
| | - E Bottalico
- University of Liverpool, Liverpool, United Kingdom
| | - T Bowcock
- University of Liverpool, Liverpool, United Kingdom
| | - S Braun
- University of Washington, Seattle, Washington, USA
| | - M Bressler
- Department of Physics, University of Massachusetts, Amherst, Massachusetts, USA
| | | | - R M Carey
- Boston University, Boston, Massachusetts, USA
| | - B C K Casey
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
| | - D Cauz
- Università di Udine, Udine, Italy
| | | | | | - S Chappa
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
| | - S Charity
- University of Liverpool, Liverpool, United Kingdom
| | - C Chen
- School of Physics and Astronomy, Shanghai Jiao Tong University, Shanghai, China
- Tsung-Dao Lee Institute, Shanghai Jiao Tong University, Shanghai, China
| | - M Cheng
- University of Illinois at Urbana-Champaign, Urbana, Illinois, USA
| | - R Chislett
- Department of Physics and Astronomy, University College London, London, United Kingdom
| | - Z Chu
- School of Physics and Astronomy, Shanghai Jiao Tong University, Shanghai, China
| | - T E Chupp
- University of Michigan, Ann Arbor, Michigan, USA
| | - C Claessens
- University of Washington, Seattle, Washington, USA
| | - M E Convery
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
| | - S Corrodi
- Argonne National Laboratory, Lemont, Illinois, USA
| | | | - J D Crnkovic
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
| | - S Dabagov
- INFN, Laboratori Nazionali di Frascati, Frascati, Italy
| | - P T Debevec
- University of Illinois at Urbana-Champaign, Urbana, Illinois, USA
| | | | | | - B Drendel
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
| | | | - V N Duginov
- Joint Institute for Nuclear Research, Dubna, Russia
| | - M Eads
- Northern Illinois University, DeKalb, Illinois, USA
| | - A Edmonds
- Boston University, Boston, Massachusetts, USA
| | - J Esquivel
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
| | - M Farooq
- University of Michigan, Ann Arbor, Michigan, USA
| | - R Fatemi
- University of Kentucky, Lexington, Kentucky, USA
| | | | - M Fertl
- Institute of Physics and Cluster of Excellence PRISMA+, Johannes Gutenberg University Mainz, Mainz, Germany
| | - A T Fienberg
- University of Washington, Seattle, Washington, USA
| | | | - D Flay
- Department of Physics, University of Massachusetts, Amherst, Massachusetts, USA
| | - S B Foster
- Boston University, Boston, Massachusetts, USA
| | - H Friedsam
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
| | | | | | - I Gaines
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
| | | | - S Ganguly
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
| | - A Garcia
- University of Washington, Seattle, Washington, USA
| | - J George
- Department of Physics, University of Massachusetts, Amherst, Massachusetts, USA
| | | | - A Gioiosa
- Università del Molise, Campobasso, Italy
| | - K L Giovanetti
- Department of Physics and Astronomy, James Madison University, Harrisonburg, Virginia, USA
| | | | - W Gohn
- University of Kentucky, Lexington, Kentucky, USA
| | - L Goodenough
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
| | - T Gorringe
- University of Kentucky, Lexington, Kentucky, USA
| | - J Grange
- University of Michigan, Ann Arbor, Michigan, USA
| | - S Grant
- Argonne National Laboratory, Lemont, Illinois, USA
- Department of Physics and Astronomy, University College London, London, United Kingdom
| | - F Gray
- Regis University, Denver, Colorado, USA
| | - S Haciomeroglu
- Center for Axion and Precision Physics (CAPP)/Institute for Basic Science (IBS), Daejeon, Republic of Korea
| | | | - D Hampai
- INFN, Laboratori Nazionali di Frascati, Frascati, Italy
| | - F Han
- University of Kentucky, Lexington, Kentucky, USA
| | - J Hempstead
- University of Washington, Seattle, Washington, USA
| | - D W Hertzog
- University of Washington, Seattle, Washington, USA
| | - G Hesketh
- Department of Physics and Astronomy, University College London, London, United Kingdom
| | - E Hess
- INFN, Sezione di Pisa, Pisa, Italy
| | - A Hibbert
- University of Liverpool, Liverpool, United Kingdom
| | - Z Hodge
- University of Washington, Seattle, Washington, USA
| | - K W Hong
- University of Virginia, Charlottesville, Virginia, USA
| | - R Hong
- Argonne National Laboratory, Lemont, Illinois, USA
- University of Kentucky, Lexington, Kentucky, USA
| | - T Hu
- School of Physics and Astronomy, Shanghai Jiao Tong University, Shanghai, China
- Tsung-Dao Lee Institute, Shanghai Jiao Tong University, Shanghai, China
| | - Y Hu
- School of Physics and Astronomy, Shanghai Jiao Tong University, Shanghai, China
| | | | | | - P Kammel
- University of Washington, Seattle, Washington, USA
| | | | - M Karuza
- INFN, Sezione di Trieste, Trieste, Italy
| | - J Kaspar
- University of Washington, Seattle, Washington, USA
| | - D Kawall
- Department of Physics, University of Massachusetts, Amherst, Massachusetts, USA
| | - L Kelton
- University of Kentucky, Lexington, Kentucky, USA
| | - A Keshavarzi
- Department of Physics and Astronomy, University of Manchester, Manchester, United Kingdom
| | - D S Kessler
- Department of Physics, University of Massachusetts, Amherst, Massachusetts, USA
| | - K S Khaw
- School of Physics and Astronomy, Shanghai Jiao Tong University, Shanghai, China
- Tsung-Dao Lee Institute, Shanghai Jiao Tong University, Shanghai, China
| | | | - N V Khomutov
- Joint Institute for Nuclear Research, Dubna, Russia
| | - B Kiburg
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
| | - M Kiburg
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
- North Central College, Naperville, Illinois, USA
| | - O Kim
- University of Mississippi, University, Mississippi, USA
| | - N Kinnaird
- Boston University, Boston, Massachusetts, USA
| | - E Kraegeloh
- University of Michigan, Ann Arbor, Michigan, USA
| | - V A Krylov
- Joint Institute for Nuclear Research, Dubna, Russia
| | | | - K R Labe
- Cornell University, Ithaca, New York, USA
| | - J LaBounty
- University of Washington, Seattle, Washington, USA
| | - M Lancaster
- Department of Physics and Astronomy, University of Manchester, Manchester, United Kingdom
| | - S Lee
- Center for Axion and Precision Physics (CAPP)/Institute for Basic Science (IBS), Daejeon, Republic of Korea
| | - B Li
- Argonne National Laboratory, Lemont, Illinois, USA
- School of Physics and Astronomy, Shanghai Jiao Tong University, Shanghai, China
| | - D Li
- School of Physics and Astronomy, Shanghai Jiao Tong University, Shanghai, China
| | - L Li
- School of Physics and Astronomy, Shanghai Jiao Tong University, Shanghai, China
| | - I Logashenko
- Budker Institute of Nuclear Physics, Novosibirsk, Russia
| | | | - Z Lu
- School of Physics and Astronomy, Shanghai Jiao Tong University, Shanghai, China
| | - A Lucà
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
| | - G Lukicov
- Department of Physics and Astronomy, University College London, London, United Kingdom
| | | | - A L Lyon
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
| | - B MacCoy
- University of Washington, Seattle, Washington, USA
| | - R Madrak
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
| | - K Makino
- Michigan State University, East Lansing, Michigan, USA
| | | | - J P Miller
- Boston University, Boston, Massachusetts, USA
| | - S Miozzi
- INFN, Sezione di Roma Tor Vergata, Rome, Italy
| | - B Mitra
- University of Mississippi, University, Mississippi, USA
| | - J P Morgan
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
| | - W M Morse
- Brookhaven National Laboratory, Upton, New York, USA
| | - J Mott
- Boston University, Boston, Massachusetts, USA
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
| | - A Nath
- INFN, Sezione di Napoli, Naples, Italy
| | - J K Ng
- School of Physics and Astronomy, Shanghai Jiao Tong University, Shanghai, China
- Tsung-Dao Lee Institute, Shanghai Jiao Tong University, Shanghai, China
| | - H Nguyen
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
| | - Y Oksuzian
- Argonne National Laboratory, Lemont, Illinois, USA
| | - Z Omarov
- Center for Axion and Precision Physics (CAPP)/Institute for Basic Science (IBS), Daejeon, Republic of Korea
- Department of Physics, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea
| | - R Osofsky
- University of Washington, Seattle, Washington, USA
| | - S Park
- Center for Axion and Precision Physics (CAPP)/Institute for Basic Science (IBS), Daejeon, Republic of Korea
| | | | | | - R N Pilato
- University of Liverpool, Liverpool, United Kingdom
| | - K T Pitts
- University of Illinois at Urbana-Champaign, Urbana, Illinois, USA
| | - B Plaster
- University of Kentucky, Lexington, Kentucky, USA
| | - D Počanić
- University of Virginia, Charlottesville, Virginia, USA
| | - N Pohlman
- Northern Illinois University, DeKalb, Illinois, USA
| | - C C Polly
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
| | - J Price
- University of Liverpool, Liverpool, United Kingdom
| | - B Quinn
- University of Mississippi, University, Mississippi, USA
| | - M U H Qureshi
- Institute of Physics and Cluster of Excellence PRISMA+, Johannes Gutenberg University Mainz, Mainz, Germany
| | | | - E Ramberg
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
| | - R Reimann
- Institute of Physics and Cluster of Excellence PRISMA+, Johannes Gutenberg University Mainz, Mainz, Germany
| | - B L Roberts
- Boston University, Boston, Massachusetts, USA
| | - D L Rubin
- Cornell University, Ithaca, New York, USA
| | - L Santi
- Università di Udine, Udine, Italy
| | - C Schlesier
- University of Illinois at Urbana-Champaign, Urbana, Illinois, USA
| | | | - Y K Semertzidis
- Center for Axion and Precision Physics (CAPP)/Institute for Basic Science (IBS), Daejeon, Republic of Korea
- Department of Physics, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea
| | - D Shemyakin
- Budker Institute of Nuclear Physics, Novosibirsk, Russia
| | - M Sorbara
- INFN, Sezione di Roma Tor Vergata, Rome, Italy
| | - D Stöckinger
- Institut für Kern- und Teilchenphysik, Technische Universität Dresden, Dresden, Germany
| | - J Stapleton
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
| | - D Still
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
| | - C Stoughton
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
| | - D Stratakis
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
| | - H E Swanson
- University of Washington, Seattle, Washington, USA
| | - G Sweetmore
- Department of Physics and Astronomy, University of Manchester, Manchester, United Kingdom
| | | | - M J Syphers
- Northern Illinois University, DeKalb, Illinois, USA
| | - D A Tarazona
- Cornell University, Ithaca, New York, USA
- Michigan State University, East Lansing, Michigan, USA
- University of Liverpool, Liverpool, United Kingdom
| | - T Teubner
- University of Liverpool, Liverpool, United Kingdom
| | - A E Tewsley-Booth
- University of Kentucky, Lexington, Kentucky, USA
- University of Michigan, Ann Arbor, Michigan, USA
| | - V Tishchenko
- Brookhaven National Laboratory, Upton, New York, USA
| | - N H Tran
- Boston University, Boston, Massachusetts, USA
| | - W Turner
- University of Liverpool, Liverpool, United Kingdom
| | - E Valetov
- Michigan State University, East Lansing, Michigan, USA
| | - D Vasilkova
- Department of Physics and Astronomy, University College London, London, United Kingdom
- University of Liverpool, Liverpool, United Kingdom
| | - G Venanzoni
- University of Liverpool, Liverpool, United Kingdom
| | - V P Volnykh
- Joint Institute for Nuclear Research, Dubna, Russia
| | - T Walton
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
| | - A Weisskopf
- Michigan State University, East Lansing, Michigan, USA
| | - L Welty-Rieger
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
| | - P Winter
- Argonne National Laboratory, Lemont, Illinois, USA
| | - Y Wu
- Argonne National Laboratory, Lemont, Illinois, USA
| | - B Yu
- University of Mississippi, University, Mississippi, USA
| | - M Yucel
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
| | - Y Zeng
- School of Physics and Astronomy, Shanghai Jiao Tong University, Shanghai, China
- Tsung-Dao Lee Institute, Shanghai Jiao Tong University, Shanghai, China
| | - C Zhang
- University of Liverpool, Liverpool, United Kingdom
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Matheny ME, Gelman HM, Souden M, Lu Z, DuVall SL, Gonsoulin ME. Challenges and Opportunities for Secondary Use of Observational Data Following an EHR Transition. J Gen Intern Med 2023; 38:943-945. [PMID: 37580635 PMCID: PMC10593639 DOI: 10.1007/s11606-023-08330-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 08/16/2023]
Affiliation(s)
- Michael E Matheny
- VA Informatics and Computing Infrastructure, Tennessee Valley Healthcare System VA, Nashville, TN, USA.
- Geriatrics Research Education and Clinical Care Service, TVHS VA, Nashville, TN, USA.
- Department of Biomedical Informatics, Biostatistics, and Medicine, Vanderbilt University Medical Center, Nashville, TN, USA.
| | - Hannah M Gelman
- VA Information Resource Center, VA Office of Research & Development (ORD), Hines, IL, USA
- VA ORD Strategic Initiative for Research and EHR Synergy (OSIRES), Hines, IL, USA
| | - Maria Souden
- VA Information Resource Center, VA Office of Research & Development (ORD), Hines, IL, USA
- VA ORD Strategic Initiative for Research and EHR Synergy (OSIRES), Hines, IL, USA
| | - Zhenyu Lu
- VA Informatics and Computing Infrastructure, VA Salt Lake City Health Care System, Salt Lake City, UT, USA
| | - Scott L DuVall
- VA Informatics and Computing Infrastructure, VA Salt Lake City Health Care System, Salt Lake City, UT, USA
- Department of Internal Medicine Division of Epidemiology, University of Utah School of Medicine, Salt Lake City, UT, USA
| | - Margaret E Gonsoulin
- VA Electronic Health Record Modernization- Integration Office, Washington, DC, USA
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18
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Wu F, Tang X, Zhang Y, Wei L, Wang T, Lu Z, Wei J, Ma S, Jiang L, Gao T, Huang Q. The Role of Radiation Therapy for Metastatic Cervical Cancer. Int J Radiat Oncol Biol Phys 2023; 117:e555. [PMID: 37785704 DOI: 10.1016/j.ijrobp.2023.06.1865] [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: 10/04/2023]
Abstract
PURPOSE/OBJECTIVE(S) Survival rates for women with metastatic cervical cancer (CC) are low, with limited management options. Radiation therapy (RT) for metastatic disease has led to prolonged survival in other malignancies, however, the data are scarce in CC. Herein, we evaluated the effect of RT for metastatic CC. MATERIALS/METHODS A total of 58 patients with metastatic CC between September 2019 and January 2023 were retrospectively analyzed. All the patients were treated with platinum-based chemotherapy combined with targeted therapy or immunotherapy followed with or without RT (NRT). The recent efficacy, survival status and prognostic factors were analyzed statistically. RESULTS Objective response rate (ORR) was 63.6% with one complete and twenty partial responses in RT group (n = 33) and 40.0% with two complete and eight partial responses in NRT group (n = 25), respectively (p = 0.074). Disease control rate (DCR) of the RT and NRT groups were 79.4% vs 80.0%, respectively (p = 0.861). Median follow-up time was 17 months (3-39months). In RT group, 11(33.3%) patients experienced local regional or distant failure and 9 (27.3%) patients were dead. In NRT group, 15(60%) patients had progression and 8 (32%) patients dead. There was no significant difference between the two groups in overall survival (OS); however, RT group displayed superior progression-free survival (PFS) (1-year OS: 72.7% vs. 68.0%, p = 0.460; 1-year PFS: 66.7% vs. 40.0%, p = 0.039). The multivariate analysis showed that RT, immunotherapy, lymph node metastasis only relevant predictor of superior PFS but not OS. In subgroup analysis, patients treated with RT appeared to have a better PFS in some specific cohorts, such as age>45 years (72.0% vs 36.4% P = 0.015), squamous carcinoma histology (71.0% vs 40.9% P = 0.017), metastatic at diagnosis (75.0% vs 47.6% P = 0.012), non-targeted therapy (72.4% vs 43.8% P = 0.040). No significant increase in treatment-related toxicity was observed in the RT group compared with the NRT group. CONCLUSION RT provided superior PFS in metastatic CC patients compared to NRT, and well tolerated. Moreover, RT, immunotherapy, lymph node metastasis only were independent significant prognostic factors for PFS. Subgroup analysis showed that combination of RT and chemotherapy obtained favorable PFS in metastatic CC patients with age>45 years, squamous carcinoma histology, metastatic at diagnosis, non-targeted therapy. Studies with a larger sample size and longer follow-up are warranted.
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Affiliation(s)
- F Wu
- Department of Radiation Oncology, First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China
| | - X Tang
- Department of Radiation Oncology, First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China; Department of Radiation Oncology, Liuzhou People's Hospital, Liuzhou, Guangxi, China
| | - Y Zhang
- Department of Radiation Oncology, First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China
| | - L Wei
- Department of Radiation Oncology, First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China
| | - T Wang
- Department of Radiation Oncology, First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China
| | - Z Lu
- Department of Radiation Oncology, First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China
| | - J Wei
- Department of Radiation Oncology, First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China
| | - S Ma
- Department of Radiation Oncology, First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China
| | - L Jiang
- Department of Radiation Oncology, First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China
| | - T Gao
- Department of Radiation Oncology, First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China
| | - Q Huang
- Department of Radiation Oncology, First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China
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Zhou Z, Wang Y, Zhao F, Yao G, Yu H, Yu H, Bu L, Lu Z, Yan S. Radiation Induced Lung Injury in Rats after Pre-Oxygenation Radiotherapy. Int J Radiat Oncol Biol Phys 2023; 117:e279-e280. [PMID: 37785046 DOI: 10.1016/j.ijrobp.2023.06.1260] [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: 10/04/2023]
Abstract
PURPOSE/OBJECTIVE(S) Deep inspiratory breath holding (DIBH) has been widely used during the radiotherapy of thoracic tumors. The main disadvantage of voluntary DIBH is the short duration of each breath hold. The hypocapnia induced by hyperoxia (oxygen concentration > 50%) pre-oxygenation (PreO2) combined with mechanical hyperventilation has been reported to prolong the duration of single breath hold, but its safety remains controversial, especially the sensitivity of lung tissue to radiation damage under hyperoxia exposure has not been elucidated. In this study, we aim to investigate the changes of radiation induced lung injury in rats after PreO2 radiation. MATERIALS/METHODS We evaluated the lung tissue of rats at different time points (48h, 2w, 4w, 8w, 12w) after thoracic radiation (15Gy single fraction to the right lung), and sequenced the transcriptome of lung tissue at 48 hours after irradiation. Rat cohorts (n = 7/group): 1. Control (Con); 2. Radiation group (RT); 3. Pre-oxygenation (oxygen concentration > 90%) for 8 hours before thoracic radiation (PreO2). RESULTS The inflammatory exudation emerged in the pulmonary interstitium at 48 hours, and reached the most serious alveolitis after four weeks of irradiation (the comparison of alveolitis scores in RT4w vs Con4w and PreO2(4w) vs Con4w, P<0.001) on hematoxylin-eosin staining. While the alveolitis scores in RT group and PreO2 group were not statistically different at each time point. Masson staining showed that the pulmonary fibrosis in the RT group and the PreO2 group reached an obvious pathological change at 12 weeks after irradiation, but the difference between the two groups was not significant. Transcriptome sequencing showed that the number of differential genes in PreO2 vs Con was 559 (302 up-regulated genes and 257 down-regulated genes). The GO enrichment analysis indicated that chromosome segregation was the most significant functional item with P value in the comparative analysis, and the KEGG enrichment analysis suggested that cell division was the most significant enrichment pathway of these differential genes. While there was a small quantity of differential genes in PreO2 vs RT group (3 up-regulated genes and 12 down-regulated genes). Pentose and glucuronate conversions were the most significant enrichment pathway of these differential genes. CONCLUSION This study demonstrated that PreO2 radiotherapy did not increase the severity of radiation induced lung injury in rats compared to conventional radiotherapy. Further study should be conducted to confirm these results and to investigate the regulatory mechanism of pneumonia caused by PreO2 radiotherapy.
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Affiliation(s)
- Z Zhou
- Department of Radiation Oncology, the First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China
| | - Y Wang
- Department of Radiation Oncology, the First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China
| | - F Zhao
- Department of Radiation Oncology, the First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, Zhejiang, China
| | - G Yao
- Department of Radiation Oncology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - H Yu
- The First Affiliated Hospital Zhejiang University School of Medicine, Hangzhou, China
| | - H Yu
- Department of Radiation Oncology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - L Bu
- Department of Radiation Oncology, the First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China
| | - Z Lu
- Department of Radiation Oncology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - S Yan
- Department of Radiation Oncology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
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Zhang Y, Ye X, Ge J, Guo D, Zheng D, Yu H, Chen Y, Yao G, Lu Z, Yuille A, Lu L, Jin D, Yan S. Deep Learning-Based Multi-Modality Segmentation of Primary Gross Tumor Volume in CT and MRI for Nasopharyngeal Carcinoma. Int J Radiat Oncol Biol Phys 2023; 117:e498. [PMID: 37785566 DOI: 10.1016/j.ijrobp.2023.06.1739] [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: 10/04/2023]
Abstract
PURPOSE/OBJECTIVE(S) The delineation of primary gross tumor volume (GTV) of nasopharyngeal carcinoma (NPC) is an essential step for radiotherapy planning. In clinical practice, radiation oncologists manually delineate the GTV in planning CT with the help of diagnostic MRI. This is because NPC tumors are closely adjacent to many important anatomic structures, and CT and MRI provide complementary strength to accurately determine the tumor extension boundary. Manual delineation is time-consuming with the potential registration errors between MRI and CT decreasing the delineation accuracy. In this study, we propose a fully automated GTV segmentation method based on CT and MRI by first aligning MRI to CT, and then, segmenting the GTV using a multi-modality deep learning model. MATERIALS/METHODS We collected 104 nasopharyngeal carcinoma patients with both planning CT and diagnostic MRI scans (T1 & T2 phases). An experienced radiation oncologists manually delineated the GTV, which was further examined by another senior radiation oncologist. Then, a coarse to fine cross-modality registration from MRI to CT was conducted as follows: (1) A rigid transformation was performed on MRI to roughly align MRI to CT with similar anatomic position. (2) Then, the region of interest (RoI) on both CT and rigid-transformed MRI were cropped. (3) A leading cross-modality deformable registration algorithm, named DEEDS, was applied on the cropped MRI and CT RoIs to find an accurate local alignment. Next, using CT and registered MRI as the combined input, a multi-modality deep segmentation network based on nnUNet was trained to generate the GTV prediction. 20% patients were randomly selected as the unseen testing set to quantitatively evaluate the performance. RESULTS The quantitative NPC GTV segmentation performance is summarized in Table 1. The deep segmentation model using CT alone achieved reasonable high performance with 76.6% Dice score and 1.34mm average surface distance (ASD). When both CT and registered MRI were used, the segmentation model further improved the performance by 0.9% Dice score increase and 11% relative ASD error reduction, demonstrating the complementary strength of CT and MRI in determining NPC GTV. Notably, the achieved 77.5% Dice score and 1.19mm ASD by the multimodality model is among the top performing results reported in recent automatic NPC GTV segmentation using either CT or MRI modality. CONCLUSION We developed a fully automated multi-modal deep-learning model for NPC GTV segmentation. The developed model can segment the NPC GTV in high accuracy. With further optimization and validation, this automated model has potential to standardize the NPC GTV segmentation and significantly decrease the workload of radiation oncologists in clinical practice.
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Affiliation(s)
- Y Zhang
- Johns Hopkins University, Baltimore, MD
| | - X Ye
- Department of Radiation Oncology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - J Ge
- Department of Radiation Oncology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - D Guo
- Alibaba Group (US) Inc., New York, NY
| | - D Zheng
- Department of Radiation Oncology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - H Yu
- Department of Radiation Oncology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Y Chen
- Department of Radiation Oncology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - G Yao
- Department of Radiation Oncology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Z Lu
- Department of Radiation Oncology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - A Yuille
- Johns Hopkins University, Baltimore, MD
| | - L Lu
- Alibaba Group (US) Inc., New York, NY
| | - D Jin
- Alibaba Group (US) Inc., New York, NY
| | - S Yan
- Department of Radiation Oncology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
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21
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Xia Y, Wang J, Lu Z, Huang L. Two Recurrent Neural Networks With Reduced Model Complexity for Constrained l₁-Norm Optimization. IEEE Trans Neural Netw Learn Syst 2023; 34:6173-6185. [PMID: 34986103 DOI: 10.1109/tnnls.2021.3133836] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Abstract
Because of the robustness and sparsity performance of least absolute deviation (LAD or l1 ) optimization, developing effective solution methods becomes an important topic. Recurrent neural networks (RNNs) are reported to be capable of effectively solving constrained l1 -norm optimization problems, but their convergence speed is limited. To accelerate the convergence, this article introduces two RNNs, in form of continuous- and discrete-time systems, for solving l1 -norm optimization problems with linear equality and inequality constraints. The RNNs are theoretically proven to be globally convergent to optimal solutions without any condition. With reduced model complexity, the two RNNs can significantly expedite constrained l1 -norm optimization. Numerical simulation results show that the two RNNs spend much less computational time than related RNNs and numerical optimization algorithms for linearly constrained l1 -norm optimization.
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22
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Li C, Han X, Wang J, Liu F, Zhang Y, Li Z, Lu Z, Yue Y, Xiang J, Li X. Mixed-Lineage Leukemia 1 Inhibition Enhances the Differentiation Potential of Bovine Embryonic Stem Cells by Increasing H3K4 Mono-Methylation at Active Promoters. Int J Mol Sci 2023; 24:11901. [PMID: 37569280 PMCID: PMC10418322 DOI: 10.3390/ijms241511901] [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: 06/13/2023] [Revised: 07/08/2023] [Accepted: 07/18/2023] [Indexed: 08/13/2023] Open
Abstract
Mixed-lineage leukemia 1 (MLL1) introduces 1-, 2- and 3-methylation into histone H3K4 through the evolutionarily conserved set domain. In this study, bovine embryonic stem cells (bESCs, known as bESCs-F7) were established from in vitro-fertilized (IVF) embryos via Wnt signaling inhibition; however, their contribution to the endoderm in vivo is limited. To improve the quality of bESCs, MM-102, an inhibitor of MLL1, was applied to the culture. The results showed that MLL1 inhibition along with GSK3 and MAP2K inhibition (3i) at the embryonic stage did not affect bESCs' establishment and pluripotency. MLL1 inhibition improved the pluripotency and differentiation potential of bESCs via the up-regulation of stem cell signaling pathways such as PI3K-Akt and WNT. MLL1 inhibition decreased H3K4me1 modification at the promoters and altered the distribution of DNA methylation in bESCs. In summary, MLL1 inhibition gives bESCs better pluripotency, and its application may provide high-quality pluripotent stem cells for domestic animals.
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Affiliation(s)
| | | | | | | | | | | | | | | | | | - Xueling Li
- State Key Laboratory of Reproductive Regulation and Breeding of Grassland Livestocks, Inner Mongolia University, Hohhot 010070, China; (C.L.); (X.H.); (J.W.); (F.L.); (Y.Z.); (Z.L.); (Z.L.); (Y.Y.); (J.X.)
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23
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Wang X, Leng S, Lu Z, Huang S, Lee BH, Baskaran L, Yew MS, Teo L, Chan MY, Ngiam KY, Lee HK, Zhong L, Huang W. Context-aware deep network for coronary artery stenosis classification in coronary CT angiography. Annu Int Conf IEEE Eng Med Biol Soc 2023; 2023:1-4. [PMID: 38083399 DOI: 10.1109/embc40787.2023.10340650] [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] [Subscribe] [Scholar Register] [Indexed: 12/18/2023]
Abstract
Automatic coronary artery stenosis grading plays an important role in the diagnosis of coronary artery disease. Due to the difficulty of learning the informative features from varying grades of stenosis, it is still a challenging task to identify coronary artery stenosis from coronary CT angiography (CCTA). In this paper, we propose a context-aware deep network (CADN) for coronary artery stenosis classification. The proposed method integrates 3D CNN with Transformer to improve the feature representation of coronary artery stenosis in CCTA. We evaluate the proposed method on a multicenter dataset (APOLLO study with NCT05509010). Experimental results show that our proposed method can achieve the accuracy of 0.84, 0.83, and 0.86 for stenosis diagnosis on the lesion, artery, and patient levels, respectively.
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Xia K, Lv Z, Liu K, Lu Z, Zhou C, Zhu H, Chen X. Global contextual attention augmented YOLO with ConvMixer prediction heads for PCB surface defect detection. Sci Rep 2023; 13:9805. [PMID: 37328545 DOI: 10.1038/s41598-023-36854-2] [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] [Subscribe] [Scholar Register] [Received: 03/17/2023] [Accepted: 06/11/2023] [Indexed: 06/18/2023] Open
Abstract
To solve the problem of missed and false detection caused by the large number of tiny targets and complex background textures in a printed circuit board (PCB), we propose a global contextual attention augmented YOLO model with ConvMixer prediction heads (GCC-YOLO). In this study, we apply a high-resolution feature layer (P2) to gain more details and positional information of small targets. Moreover, in order to suppress the background noisy information and further enhance the feature extraction capability, a global contextual attention module (GC) is introduced in the backbone network and combined with a C3 module. Furthermore, in order to reduce the loss of shallow feature information due to the deepening of network layers, a bi-directional weighted feature pyramid (BiFPN) feature fusion structure is introduced. Finally, a ConvMixer module is introduced and combined with the C3 module to create a new prediction head, which improves the small target detection capability of the model while reducing the parameters. Test results on the PCB dataset show that GCC-YOLO improved the Precision, Recall, mAP@0.5, and mAP@0.5:0.95 by 0.2%, 1.8%, 0.5%, and 8.3%, respectively, compared to YOLOv5s; moreover, it has a smaller model volume and faster reasoning speed compared to other algorithms.
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Affiliation(s)
- Kewen Xia
- School of Mechanical and Power Engineering, Chongqing University of Science and Technology, Chongqing, 401331, China
| | - Zhongliang Lv
- School of Mechanical and Power Engineering, Chongqing University of Science and Technology, Chongqing, 401331, China.
| | - Kang Liu
- School of Mechanical and Power Engineering, Chongqing University of Science and Technology, Chongqing, 401331, China
| | - Zhenyu Lu
- School of Mechanical and Power Engineering, Chongqing University of Science and Technology, Chongqing, 401331, China
| | - Chuande Zhou
- School of Mechanical and Power Engineering, Chongqing University of Science and Technology, Chongqing, 401331, China.
| | - Hong Zhu
- School of Mechanical and Power Engineering, Chongqing University of Science and Technology, Chongqing, 401331, China
| | - Xuanlin Chen
- School of Mechanical and Power Engineering, Chongqing University of Science and Technology, Chongqing, 401331, China
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Lu Z, Li T, Liu C, Zheng Y, Song J. Development and validation of a survival prediction model and risk stratification for pancreatic neuroendocrine neoplasms. J Endocrinol Invest 2023; 46:927-937. [PMID: 36394822 DOI: 10.1007/s40618-022-01956-7] [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] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/03/2022] [Accepted: 10/30/2022] [Indexed: 11/18/2022]
Abstract
PURPOSE We explored risk variables associated with cancer-specific survival (CSS) in patients with pancreatic neuroendocrine neoplasms (PNENs) and created a network dynamic nomogram model to predict patient survival time. METHODS A total of 7750 patients with PNENs were included in this analysis, including 134 with functional PNENs and 7616 with nonfunctional PNENs. Clinical feature and prognosis differences between functional and nonfunctional PNENs were compared. Independent prognostic factors affecting CSS were analyzed by univariate and multifactorial Cox regression. Nomogram and web-based prognosis prediction of PNENs were developed and validated by C indices, decision curve analysis, and calibration plots. RESULTS Patients with functional PNENs were younger at diagnosis than those with nonfunctional PNENs. Functional PNENs had better prognoses than nonfunctional PNENs (5-year survival rates: 78.55% and 71.10%, respectively). Univariate and multifactorial Cox regression analyses showed that tumor infiltration (T), nodal metastasis (N), metastasis (M), tumor site, differentiation grade, age, marital status, and surgical treatment were independent prognostic risk factors for CSS, which were included in the prognostic nomogram and web-based prognosis calculator. The calibration plots and decision curve analysis showed that the nomogram had excellent prediction and clinical practical ability. The C indices for CSS in the training and validation cohorts were 0.848 (95% CI 0.838-0.8578) and 0.823 (95% CI 0.807-0.839), respectively. We scored all patients according to the nomogram and divided patients into three different risk groups. The prognosis of the low-risk population was significantly better than those of the middle- and high-risk populations based on Kaplan-Meier survival curve. CONCLUSION We analyzed the clinical features of PNENs and developed a convenient and web dynamic nomogram to predict CSS.
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Affiliation(s)
- Z Lu
- Department of General Surgery, Department of Hepato-Bilio-Pancreatic Surgery, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, NO. 1 DaHua Road, Dong Dan, Beijing, 100730, People's Republic of China
| | - T Li
- National Center for Clinical Laboratories, Beijing Hospital, National Center of Gerontology; Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, No. 1 Dahua Road, Dongcheng District, Beijing, 100730, People's Republic of China
- Graduate School, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, People's Republic of China
| | - C Liu
- Department of General Surgery, Department of Hepato-Bilio-Pancreatic Surgery, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, NO. 1 DaHua Road, Dong Dan, Beijing, 100730, People's Republic of China
| | - Y Zheng
- Department of General Surgery, Department of Hepato-Bilio-Pancreatic Surgery, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, NO. 1 DaHua Road, Dong Dan, Beijing, 100730, People's Republic of China
- Graduate School, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, People's Republic of China
| | - J Song
- Department of General Surgery, Department of Hepato-Bilio-Pancreatic Surgery, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, NO. 1 DaHua Road, Dong Dan, Beijing, 100730, People's Republic of China.
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Fang L, Zhang J, Zong H, Wang X, Zhang K, Shen J, Lu Z. Open-source lower controller for twelve degrees of freedom hydraulic quadruped robot with distributed control scheme. HardwareX 2023; 13:e00393. [PMID: 36683606 PMCID: PMC9850034 DOI: 10.1016/j.ohx.2022.e00393] [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] [Subscribe] [Scholar Register] [Received: 05/28/2022] [Revised: 12/09/2022] [Accepted: 12/26/2022] [Indexed: 06/17/2023]
Abstract
Nowadays, hydraulic quadruped robot shows high power density, good impact resistance and robustness in the research. The controller is the key to realize these features. This paper shows the design of an open-source single-leg controller for the hydraulic quadruped robot Spurlos using a distributed control scheme. The single-leg system of the hydraulic quadruped robot Spurlos contains three angle encoders, three servo valves and six pressure sensors, which has the same components as most single-leg systems. Through the chips designed in the controller, the signal can be received from the encoders and the sensors, meanwhile the signal can be delivered to the servo valves. The software part of the controller adopts the MBD (Model-Based Design) method, which can greatly improve the development efficiency. According to the experiments, the controller design is reasonable, stable operation, and can satisfy the requirements of the hydraulic quadruped robot for leg motion control. The controller designed in this paper provides a solution to the problem that there is no ready-made control board for hydraulic quadruped robot which have three degrees of freedom for each leg. It enables the control researches for hydraulic quadruped robots to be more easily implemented.
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Affiliation(s)
- Lizhou Fang
- Zhejiang University, Hangzhou, Zhejiang Province, China
| | - Junhui Zhang
- Zhejiang University, Hangzhou, Zhejiang Province, China
| | - Huaizhi Zong
- Zhejiang University, Hangzhou, Zhejiang Province, China
| | - Ximeng Wang
- Zhejiang University, Hangzhou, Zhejiang Province, China
| | - Kun Zhang
- Zhejiang University, Hangzhou, Zhejiang Province, China
| | - Jun Shen
- Zhejiang University, Hangzhou, Zhejiang Province, China
| | - Zhenyu Lu
- Nanchang University, Nanchang, Jiangxi Province, China
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Liu X, Ge P, Lu Z, Cao M, Chen W, Yan Z, Chen M, Wang J. Ecotoxicity induced by total, water soluble and insoluble components of atmospheric fine particulate matter exposure in Caenorhabditis elegans. Chemosphere 2023; 316:137672. [PMID: 36587918 DOI: 10.1016/j.chemosphere.2022.137672] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [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: 11/09/2022] [Revised: 12/19/2022] [Accepted: 12/24/2022] [Indexed: 06/17/2023]
Abstract
Although PM2.5 could cause toxicity in environmental organisms, the toxicity difference of PM2.5 under different solubilities is still poorly understood. To acquire a better knowledge of the ecotoxicity of PM2.5 under different solubilities, the model animal Caenorhabditis elegans (C. elegans) was exposed to Total-PM2.5, water insoluble components of PM2.5 (WIS-PM2.5) and water soluble components of PM2.5 (WS-PM2.5). The physiological (growth, locomotion behavior, and reproduction), biochemical (germline apoptosis, and reactive oxygen species (ROS) production) indices, and the related gene expression were examined. According to the findings, acute exposure to these three components caused adverse physiological effects on growth and locomotion behavior, and significantly induced germline apoptosis or ROS production. In contrast, prolonged exposure showed stronger adverse effects than acute exposure. Additionally, the results of multiple toxicological endpoints showed that the toxicity effects of WIS-PM2.5 are more intense than WS-PM2.5, which means that insoluble components contributed more to the toxicity of PM2.5. Prolonged exposure to 1000 mg/L WS-PM2.5, WIS-PM2.5, and Total-PM2.5 dramatically altered the expression of stress-related genes, which further indicated that apoptosis, DNA damage and oxidative stress play a crucial part in toxicity induced by PM2.5.
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Affiliation(s)
- Xiaoming Liu
- Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control, Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, School of Environmental Science and Engineering, Nanjing University of Information Science & Technology, Nanjing, 210044, China
| | - Pengxiang Ge
- Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control, Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, School of Environmental Science and Engineering, Nanjing University of Information Science & Technology, Nanjing, 210044, China
| | - Zhenyu Lu
- Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control, Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, School of Environmental Science and Engineering, Nanjing University of Information Science & Technology, Nanjing, 210044, China
| | - Maoyu Cao
- Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control, Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, School of Environmental Science and Engineering, Nanjing University of Information Science & Technology, Nanjing, 210044, China
| | - Wankang Chen
- Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control, Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, School of Environmental Science and Engineering, Nanjing University of Information Science & Technology, Nanjing, 210044, China
| | - Zhansheng Yan
- Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control, Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, School of Environmental Science and Engineering, Nanjing University of Information Science & Technology, Nanjing, 210044, China
| | - Mindong Chen
- Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control, Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, School of Environmental Science and Engineering, Nanjing University of Information Science & Technology, Nanjing, 210044, China.
| | - Junfeng Wang
- Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control, Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, School of Environmental Science and Engineering, Nanjing University of Information Science & Technology, Nanjing, 210044, China.
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Lu Z, Wang Y, Li G. Covalent Organic Frameworks-Based Electrochemical Sensors for Food Safety Analysis. Biosensors (Basel) 2023; 13:291. [PMID: 36832057 PMCID: PMC9954712 DOI: 10.3390/bios13020291] [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] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/27/2022] [Revised: 02/14/2023] [Accepted: 02/15/2023] [Indexed: 06/18/2023]
Abstract
Food safety is a key issue in promoting human health and sustaining life. Food analysis is essential to prevent food components or contaminants causing foodborne-related illnesses to consumers. Electrochemical sensors have become a desirable method for food safety analysis due to their simple, accurate and rapid response. The low sensitivity and poor selectivity of electrochemical sensors working in complex food sample matrices can be overcome by coupling them with covalent organic frameworks (COFs). COFs are a kind of novel porous organic polymer formed by light elements, such as C, H, N and B, via covalent bonds. This review focuses on the recent progress in COF-based electrochemical sensors for food safety analysis. Firstly, the synthesis methods of COFs are summarized. Then, a discussion of the strategies is given to improve the electrochemistry performance of COFs. There follows a summary of the recently developed COF-based electrochemical sensors for the determination of food contaminants, including bisphenols, antibiotics, pesticides, heavy metal ions, fungal toxin and bacterium. Finally, the challenges and the future directions in this field are discussed.
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Affiliation(s)
- Zhenyu Lu
- College of Chemistry and Chemical Engineering, Henan Institute of Science and Technology, Xinxiang 453000, China
- School of Chemistry, Sun Yat-sen University, Guangzhou 510006, China
| | - Yingying Wang
- College of Chemistry and Chemical Engineering, Henan Institute of Science and Technology, Xinxiang 453000, China
| | - Gongke Li
- School of Chemistry, Sun Yat-sen University, Guangzhou 510006, China
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Rapp E, Lu Z, Sun L, Serna SN, Almestica-Roberts M, Burrell KL, Nguyen ND, Deering-Rice CE, Reilly CA. Mechanisms and Consequences of Variable TRPA1 Expression by Airway Epithelial Cells: Effects of TRPV1 Genotype and Environmental Agonists on Cellular Responses to Pollutants in Vitro and Asthma. Environ Health Perspect 2023; 131:27009. [PMID: 36847817 PMCID: PMC9969990 DOI: 10.1289/ehp11076] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 02/08/2022] [Revised: 01/20/2023] [Accepted: 01/20/2023] [Indexed: 06/18/2023]
Abstract
BACKGROUND Transient receptor potential ankyrin-1 [transient receptor potential cation channel subfamily A member 1 (TRPA1)] and vanilloid-1 [transient receptor potential cation channel subfamily V member 1 (TRPV1)] detect inhaled irritants, including air pollutants and have roles in the development and exacerbation of asthma. OBJECTIVES This study tested the hypothesis that increased expression of TRPA1, stemming from expression of the loss-of-function TRPV1 (I585V; rs8065080) polymorphic variant by airway epithelial cells may explain prior observations of worse asthma symptom control among children with the TRPV1 I585I/V genotype, by virtue of sensitizing epithelial cells to particulate materials and other TRPA1 agonists. METHODS TRP agonists, antagonists, small interfering RNA (siRNA), a nuclear factor kappa light chain enhancer of activated B cells (NF-κB) pathway inhibitor, and kinase activators and inhibitors were used to modulate TRPA1 and TRPV1 expression and function. Treatment of genotyped airway epithelial cells with particulate materials and analysis of asthma control data were used to assess consequences of TRPV1 genotype and variable TRPA1 expression on cellular responses in vitro and asthma symptom control among children as a function of voluntarily reported tobacco smoke exposure. RESULTS A relationship between higher TRPA1 expression and function and lower TRPV1 expression and function was revealed. Findings of this study pointed to a mechanism whereby NF-κB promoted TRPA1 expression, whereas NF-κB-regulated nucleotide-binding oligomerization domain, leucine rich repeat and pyrin domain containing 2 (NLRP2) limited expression. Roles for protein kinase C and p38 mitogen activated protein kinase were also demonstrated. Finally, the TRPV1 I585I/V genotype was associated with increased TRPA1 expression by primary airway epithelial cells and amplified responses to selected air pollution particles in vitro. However, the TRPV1 I585I/V genotype was not associated with worse asthma symptom control among children exposed to tobacco smoke, whereas other TRPA1 and TRPV1 variants were. DISCUSSION This study provides insights on how airway epithelial cells regulate TRPA1 expression, how TRPV1 genetics can affect TRPA1 expression, and that TRPA1 and TRPV1 polymorphisms differentially affect asthma symptom control. https://doi.org/10.1289/EHP11076.
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Affiliation(s)
- Emmanuel Rapp
- Department of Pharmacology and Toxicology, Center for Human Toxicology, University of Utah, Salt Lake City, Utah, USA
| | - Zhenyu Lu
- Department of Pharmacology and Toxicology, Center for Human Toxicology, University of Utah, Salt Lake City, Utah, USA
| | - Lili Sun
- Department of Pharmacology and Toxicology, Center for Human Toxicology, University of Utah, Salt Lake City, Utah, USA
| | - Samantha N. Serna
- Department of Pharmacology and Toxicology, Center for Human Toxicology, University of Utah, Salt Lake City, Utah, USA
| | - Marysol Almestica-Roberts
- Department of Pharmacology and Toxicology, Center for Human Toxicology, University of Utah, Salt Lake City, Utah, USA
| | - Katherine L. Burrell
- Department of Pharmacology and Toxicology, Center for Human Toxicology, University of Utah, Salt Lake City, Utah, USA
| | - Nam D. Nguyen
- Department of Pharmacology and Toxicology, Center for Human Toxicology, University of Utah, Salt Lake City, Utah, USA
| | - Cassandra E. Deering-Rice
- Department of Pharmacology and Toxicology, Center for Human Toxicology, University of Utah, Salt Lake City, Utah, USA
| | - Christopher A. Reilly
- Department of Pharmacology and Toxicology, Center for Human Toxicology, University of Utah, Salt Lake City, Utah, USA
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Ke P, Xu M, Xu J, Yuan X, Ni W, Sun Y, Zhang H, Zhang Y, Tian Q, Dowling R, Jiang H, Zhao Z, Lu Z. Association of residential greenness with the risk of metabolic syndrome in Chinese older adults: a longitudinal cohort study. J Endocrinol Invest 2023; 46:327-335. [PMID: 36006585 DOI: 10.1007/s40618-022-01904-5] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/28/2022] [Accepted: 08/12/2022] [Indexed: 01/27/2023]
Abstract
AIMS We aimed to investigate the association between residential greenness and MetS in older Chinese adults. METHODS Longitudinal data on sociodemographic characteristics and lifestyle were collected from the Shenzhen Healthy Ageing Research (SHARE) cohort. Greenness exposure was assessed through satellite-derived Normalized Difference Vegetation Index (NDVI) values in the 250-m, 500-m, and 1250-m radius around the residential address for each participant. MetS was defined by standard guidelines for the Chinese population. RESULTS A total of 49,893 older Chinese adults with a mean age of 70.96 (SD = 5.26) years were included in the study. In the fully adjusted models, participants who lived in the highest quartile of NDVI250-m, NDVI500-m, and NDVI1250-m had a 15% (odds ratio, OR = 0.85, 95% confidence interval, CI: 0.80-0.90), 12% (OR = 0.88, 95% CI: 0.83-0.93), and 11% (OR = 0.89, 95% CI: 0.85-0.95) lower incidence of MetS, respectively, than those living in the lowest quartile (all p-trend < 0.01). Interactions and subgroup analyses showed that age, sex, smoking status, and drinking status were significant effect modifiers (p-interaction for all NDVI < 0.05). CONCLUSIONS Residential greenness is associated with a lower risk of MetS in Chinese older adults, especially for young older adults, females, non-smokers, and non-drinkers.
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Affiliation(s)
- P Ke
- Department of Social Medicine and Health Management, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, No. 13 Hangkong Road, Wuhan, 430030, Hubei, People's Republic of China
| | - M Xu
- Department of Social Medicine and Health Management, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, No. 13 Hangkong Road, Wuhan, 430030, Hubei, People's Republic of China
| | - J Xu
- Shenzhen Center for Chronic Disease Control, No. 2021 Buxin Road, Shenzhen, 518020, Guangdong, People's Republic of China
| | - X Yuan
- Shenzhen Center for Chronic Disease Control, No. 2021 Buxin Road, Shenzhen, 518020, Guangdong, People's Republic of China
| | - W Ni
- Shenzhen Center for Chronic Disease Control, No. 2021 Buxin Road, Shenzhen, 518020, Guangdong, People's Republic of China
| | - Y Sun
- Shenzhen Center for Chronic Disease Control, No. 2021 Buxin Road, Shenzhen, 518020, Guangdong, People's Republic of China
| | - H Zhang
- Shenzhen Center for Chronic Disease Control, No. 2021 Buxin Road, Shenzhen, 518020, Guangdong, People's Republic of China
| | - Y Zhang
- Shenzhen Center for Chronic Disease Control, No. 2021 Buxin Road, Shenzhen, 518020, Guangdong, People's Republic of China
| | - Q Tian
- School of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China
| | - R Dowling
- Centre for Alcohol Policy Research, School of Psychology and Public Health, La Trobe University, Bundoora, Melbourne, VIC, 3086, Australia
| | - H Jiang
- Centre for Alcohol Policy Research, School of Psychology and Public Health, La Trobe University, Bundoora, Melbourne, VIC, 3086, Australia.
- Centre for Health Equity, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, VIC, Australia.
| | - Z Zhao
- Shenzhen Center for Chronic Disease Control, No. 2021 Buxin Road, Shenzhen, 518020, Guangdong, People's Republic of China.
| | - Z Lu
- Department of Social Medicine and Health Management, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, No. 13 Hangkong Road, Wuhan, 430030, Hubei, People's Republic of China.
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Xia Y, Liu M, Zhao Y, Chi X, Lu Z, Tang K, Guo J. Utilization of sewage sludge ash in ultra-high performance concrete (UHPC): Microstructure and life-cycle assessment. J Environ Manage 2023; 326:116690. [PMID: 36372035 DOI: 10.1016/j.jenvman.2022.116690] [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] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/12/2022] [Revised: 10/30/2022] [Accepted: 11/01/2022] [Indexed: 06/16/2023]
Abstract
In this research, an economical and eco-friendly ultra-high performance concrete (UHPC) with compressive strength of more than 120 MPa was prepared with the dosage of sewage sludge ash (SSA) at 8 wt%. The results indicate that the addition of SSA has an adverse influence on the workability of UHPC samples due to its special morphology. Furthermore, the microstructure and phase assemblage of SSA-based UHPC were determined and the results show that SSA inhibits the early hydration of cement clinker, while promotes the precipitation of additional hydration products at later curing ages due to its pozzolanic reaction. The pore structure analysis of SSA-based UHPC determined by mercury intrusion porosimetry indicates that the addition of SSA increases the cumulative pore volume, while decreases the large pore volume of UHPC. Economic and environmental analysis indicates that using SSA-based UHPC greatly reduces the unit cost and the impacts on the environment.
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Affiliation(s)
- Yan Xia
- School of Civil Engineering, Harbin Institute of Technology, Harbin, 150090, China; Key Lab of Structures Dynamic Behavior and Control of the Ministry of Education, Harbin Institute of Technology, Harbin, 150090, China; Key Lab of Smart Prevention and Mitigating of Industry and Information Technology, Harbin Institute of Technology, Harbin, 150090, China
| | - Minghao Liu
- School of Civil Engineering, Harbin Institute of Technology, Harbin, 150090, China; Key Lab of Structures Dynamic Behavior and Control of the Ministry of Education, Harbin Institute of Technology, Harbin, 150090, China; Key Lab of Smart Prevention and Mitigating of Industry and Information Technology, Harbin Institute of Technology, Harbin, 150090, China
| | - Yading Zhao
- School of Civil Engineering, Harbin Institute of Technology, Harbin, 150090, China; Key Lab of Structures Dynamic Behavior and Control of the Ministry of Education, Harbin Institute of Technology, Harbin, 150090, China; Key Lab of Smart Prevention and Mitigating of Industry and Information Technology, Harbin Institute of Technology, Harbin, 150090, China.
| | - Xiaofeng Chi
- School of Civil Engineering, Harbin Institute of Technology, Harbin, 150090, China; Key Lab of Structures Dynamic Behavior and Control of the Ministry of Education, Harbin Institute of Technology, Harbin, 150090, China; Key Lab of Smart Prevention and Mitigating of Industry and Information Technology, Harbin Institute of Technology, Harbin, 150090, China
| | - Zhenyu Lu
- School of Civil Engineering, Harbin Institute of Technology, Harbin, 150090, China; Key Lab of Structures Dynamic Behavior and Control of the Ministry of Education, Harbin Institute of Technology, Harbin, 150090, China; Key Lab of Smart Prevention and Mitigating of Industry and Information Technology, Harbin Institute of Technology, Harbin, 150090, China
| | - Kan Tang
- School of Civil Engineering, Harbin Institute of Technology, Harbin, 150090, China; Key Lab of Structures Dynamic Behavior and Control of the Ministry of Education, Harbin Institute of Technology, Harbin, 150090, China; Key Lab of Smart Prevention and Mitigating of Industry and Information Technology, Harbin Institute of Technology, Harbin, 150090, China
| | - Junzhen Guo
- School of Civil Engineering, Harbin Institute of Technology, Harbin, 150090, China; Key Lab of Structures Dynamic Behavior and Control of the Ministry of Education, Harbin Institute of Technology, Harbin, 150090, China; Key Lab of Smart Prevention and Mitigating of Industry and Information Technology, Harbin Institute of Technology, Harbin, 150090, China
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Lu Z, Lu Y. Enhancing the reliability of image classification using the intrinsic features. Knowl Based Syst 2023. [DOI: 10.1016/j.knosys.2023.110256] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/09/2023]
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Ran X, Xi Y, Lu Y, Wang X, Lu Z. Comprehensive survey on hierarchical clustering algorithms and the recent developments. Artif Intell Rev 2022. [DOI: 10.1007/s10462-022-10366-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/28/2022]
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Liu X, Ge P, Lu Z, Yang R, Liu Z, Zhao F, Chen M. Reproductive toxicity and underlying mechanisms of fine particulate matter (PM 2.5) on Caenorhabditis elegans in different seasons. Ecotoxicol Environ Saf 2022; 248:114281. [PMID: 36379073 DOI: 10.1016/j.ecoenv.2022.114281] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [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: 07/23/2022] [Revised: 10/31/2022] [Accepted: 11/07/2022] [Indexed: 06/16/2023]
Abstract
Although numerous studies have investigated that atmospheric fine particulate matter (PM2.5) can be toxic to environmental organisms, the research on the reproductive toxicity of PM2.5 is limited, and the key toxic components and underlying mechanisms remain unknown. In this work, PM2.5 samples of four seasons in Nanjing from March 1, 2021, to February 28, 2022 were collected and the chemical components were analyzed. Caenorhabditis elegans (C. elegans) was employed to conduct the toxicological testing. The reproductive toxicity of PM2.5 to C. elegans in different seasons was evaluated by multiple reproductive endpoints. Exposure to high concentrations of PM2.5 significantly decreased the brood size and the number of fertilized eggs in utero. PM2.5 exposure also increased the number of germ cell corpses and caused abnormal expression of apoptosis-related genes (ced-9, ced-4, and ced-3), which confirmed that PM2.5 induced germline apoptosis. In addition, PM2.5 exposure significantly increased the production of reactive oxygen species (ROS) in C. elegans and the fluorescence intensity of HUS-1 protein in of transgenic strain WS1433. Meanwhile, the expression of genes related to DNA damage (cep-1, clk-2, egl-1, and hus-1) and oxidative stress (mev-1, isp-1, and gas-1) also significantly altered in C. elegans, suggesting induction of DNA damage and oxidative stress. According to Pearson correlation analyses, DNA damage and oxidative stress were significantly correlated with multiple reproductive endpoints in C. elegans. Thus, it was speculated that PM2.5 caused reproductive dysfunction and germ cell apoptosis in C. elegans may be by inducing ROS and DNA damage. In addition, heavy metals in PM2.5 were significantly correlated with multiple endpoints at physiological and biochemical, suggesting that the heavy metals might be an important contributor to the reproductive toxicity induced by PM2.5.
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Affiliation(s)
- Xiaoming Liu
- Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control, Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, School of Environmental Science and Engineering, Nanjing University of Information Science & Technology, Nanjing 210044, China
| | - Pengxiang Ge
- Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control, Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, School of Environmental Science and Engineering, Nanjing University of Information Science & Technology, Nanjing 210044, China
| | - Zhenyu Lu
- Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control, Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, School of Environmental Science and Engineering, Nanjing University of Information Science & Technology, Nanjing 210044, China
| | - Rongying Yang
- Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control, Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, School of Environmental Science and Engineering, Nanjing University of Information Science & Technology, Nanjing 210044, China
| | - Zhengjiang Liu
- Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control, Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, School of Environmental Science and Engineering, Nanjing University of Information Science & Technology, Nanjing 210044, China
| | - Fen Zhao
- Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control, Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, School of Environmental Science and Engineering, Nanjing University of Information Science & Technology, Nanjing 210044, China
| | - Mindong Chen
- Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control, Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, School of Environmental Science and Engineering, Nanjing University of Information Science & Technology, Nanjing 210044, China.
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35
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Lu Z, Piro M. Computational fluid dynamic investigations of flow bypass through an aged CANDU pressure tube. ANN NUCL ENERGY 2022. [DOI: 10.1016/j.anucene.2022.109345] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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36
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Lu Z, Wang N, Li Q, Yang C. A Trajectory and Force Dual-incremental Robot Skill Learning and Generalization Framework using Improved Dynamical Movement Primitives and Adaptive Neural Network Control. Neurocomputing 2022. [DOI: 10.1016/j.neucom.2022.11.076] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/03/2022]
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37
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Lu Z, Lu Y. A Balanced Triplet Loss For Person Re-identification. INT J PATTERN RECOGN 2022. [DOI: 10.1142/s0218001422560225] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
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38
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Becksfort J, Lucas J, Hsu C, Vajapeyam S, Wang C, Simpson E, Chiang J, Armstrong J, Soike M, Young M, Kann B, Li Y, Li C, Lu Z, Kline C, Meuller S, Gajjar A, Merchant T, Baker S, Patay Z, Wright K, Poussaint T, Tinkle C. Conventional and Cross-Channel MR Radiomic Features do Not Predict Histone H3 Status in DIPG: Genomic and Clinical Evaluation of a Multi-Institutional Cohort. Int J Radiat Oncol Biol Phys 2022. [DOI: 10.1016/j.ijrobp.2022.07.1740] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
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Liu H, Wu P, Xie J, Zhang S, Lu Z. Multifocal amyloidosis of the upper aerodigestive tract. QJM 2022; 115:689-690. [PMID: 35699518 DOI: 10.1093/qjmed/hcac145] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/01/2022] [Indexed: 02/05/2023] Open
Affiliation(s)
- H Liu
- Shantou University Medical College, 22 Xinling Road, Shantou, 515000, Guangdong, China
- Department of Otolaryngology-Head and Neck Surgery, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, 106 Zhongshan Second Road, Guangzhou, Guangdong, 510080, China
| | - P Wu
- Department of Otolaryngology-Head and Neck Surgery, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, 106 Zhongshan Second Road, Guangzhou, Guangdong, 510080, China
- The Second School of Clinical Medicine, Southern Medical University, 1023 Shatainan Road, Guangzhou, 510515, Guangdong, China
| | - J Xie
- Shantou University Medical College, 22 Xinling Road, Shantou, 515000, Guangdong, China
- Department of Otolaryngology-Head and Neck Surgery, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, 106 Zhongshan Second Road, Guangzhou, Guangdong, 510080, China
| | - S Zhang
- Department of Otolaryngology-Head and Neck Surgery, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, 106 Zhongshan Second Road, Guangzhou, Guangdong, 510080, China
| | - Z Lu
- Department of Otolaryngology-Head and Neck Surgery, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, 106 Zhongshan Second Road, Guangzhou, Guangdong, 510080, China
- The Second School of Clinical Medicine, Southern Medical University, 1023 Shatainan Road, Guangzhou, 510515, Guangdong, China
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Lu Z, Tilly M, Wolters F, De Groot NMS, Ikram MA, Kavousi M. Plasma amyloid-beta levels and risk of new-onset atrial fibrillation in the general population. Eur Heart J 2022. [DOI: 10.1093/eurheartj/ehac544.2302] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
Abstract
Background
Atrial fibrillation (AF) is a major health burden worldwide, with significant sex differences in epidemiology and risk factors. Amyloid-β40 (Aβ40) and Amyloid-β42 (Aβ42), the hallmark of cerebral amyloid angiopathy, have recently been linked to prevalence and prognosis of several cardiovascular outcomes including stroke and coronary heart disease. However, whether these biomarkers are associated with incident AF remains largely unknown.
Purpose
To investigate the associations between plasma concentrations of Aβ40 and Aβ42 with new-onset AF.
Methods
4,134 participants without a history of AF at baseline (from 2002 to 2005) with qualified plasma samples in the Rotterdam Study were included in this study. AF was diagnosed by electrocardiograms, general practitioners' and hospital records. Cox proportional hazards regression models with natural cubic splines were used to assess the linear/nonlinear association between biomarkers and risk of new-onset AF. All models were adjusted for traditional cardiovascular risk factors.
Results
Mean age was 71.3±7.2 years and 2,383 (57.6%) were women. Median follow-up time was 9.2 years. In the fully adjusted model, higher levels of Aβ40 [hazard ratio, 95% confidence interval: 1.16 (1.05–1.28)] and Aβ42 [1.19 (1.09–1.31)], as well as Amyloid-β42 to β40 ratio (Aβ42/40) [1.09 (1.02–1.17)] were significantly associated with incident AF. The observed association between Aβ40 and AF attenuated after mutual adjustment for Aβ42 [1.05 (0.92–1.19)]. In addition, a J-shaped association was found between Aβ40 and AF with the lowest AF risk at Aβ40 values of 212.5 pg/ml.
Conclusions
Both Aβ40 and Aβ42 were independently significantly associated with new-onset AF in the general population independent of cardiovascular risk factors. Findings also suggest a stronger association between AF onset and Aβ42 and AF onset, compared to Aβ40. A nonlinear association was found between Aβ40 and AF, reflecting a substantially increased AF risk among participants with severely increased Aβ40 values.
Funding Acknowledgement
Type of funding sources: None.
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Affiliation(s)
- Z Lu
- Erasmus University Medical Centre, Department of Epidemiology , Rotterdam , The Netherlands
| | - M Tilly
- Erasmus University Medical Centre, Department of Epidemiology , Rotterdam , The Netherlands
| | - F Wolters
- Erasmus University Medical Centre, Department of Epidemiology , Rotterdam , The Netherlands
| | - N M S De Groot
- Erasmus University Medical Centre, Department of Cardiology , Rotterdam , The Netherlands
| | - M A Ikram
- Erasmus University Medical Centre, Department of Epidemiology , Rotterdam , The Netherlands
| | - M Kavousi
- Erasmus University Medical Centre, Department of Epidemiology , Rotterdam , The Netherlands
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Lu Z, Ntlapto N, Tilly M, Ikram MA, De Groot NMS, Kavousi M. Cardiometabolic multimorbidity and lifetime risk of atrial fibrillation among men and women. Eur Heart J 2022. [DOI: 10.1093/eurheartj/ehac544.2241] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
Abstract
Abstract
Background
Atrial fibrillation (AF) is the most common cardiac arrythmia worldwide, with an increased risk of comorbidity, and significant sex differences in pathophysiology and prognosis. Cardiometabolic disorders, including obesity, hypertension, diabetes mellitus, coronary heart disease, stroke, and heart failure commonly coexist with AF. However, the sex-specific patterns and (combined) impact of cardiometabolic disorders on the risk of new-onset AF remains largely unknown.
Purpose
To examine the association between patterns of cardiometabolic multimorbidity and new-onset AF and lifetime risk of AF incidence among men and women.
Methods
4,113 men and 5,432 women free of prevalent AF at baseline (from 1996 to 2008) from the Rotterdam Study were included. AF incidents were assessed by electrocardiograms and general practitioners' and hospital records, and followed up to January 1st, 2014. Sex-specific Cox proportional hazards regression models were used to assess the association between the amount of cardiometabolic disorders and risks of new-onset AF. Models were adjusted for traditional cardiovascular risk factors. Remaining lifetime risk for AF was estimated across the cardiometabolic multimorbidity groups at index ages of 55, 65, and ≥75 years up to age 108.
Results
Mean age at baseline was 65.5±9.4 years. Median follow-up time was 10.8 years. In the fully-adjusted model, a significant association was found between the amount of cardiometabolic disorders and incident AF among women but not men. Compared to women without cardiometabolic disorders, women with 3 (hazard ratios, 95% conference intervals: 2.17 (1.24–3.79)) and ≥4 comorbidities (4.58 (2.22–9.48)) had higher AF risks. The lifetime risk for AF was significantly increased with the number of cardiometabolic disorders among both men and women. At index age of 55 years, the lifetime risks (95% confidence interval) for AF were 25.2% (17.1–33.4), 24.2% (20.0–28.9), 27.1% (23.2–31.0), 30.0% (24.3–35.7) and 34.1% (22.4–45.7), for 0, 1, 2, 3, and ≥4 comorbid cardiometabolic disorders among men, respectively. Corresponding risks were 16.3% (6.68–25.9), 20.3% (16.3–24.3), 27.6% (24.1–31.2), 23.6% (17.8–29.4) and 33.3% (16.0–50.2) among women.
Conclusions
We observed a significant combined impact of cardiometabolic disorders on AF risk, most evidently among women. Participants with cardiometabolic multimorbidity had a significantly increased lifetime risk of AF, especially at a young index age.
Funding Acknowledgement
Type of funding sources: None.
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Affiliation(s)
- Z Lu
- Erasmus University Medical Centre, Department of Epidemiology , Rotterdam , The Netherlands
| | - N Ntlapto
- Erasmus University Medical Centre, Department of Epidemiology , Rotterdam , The Netherlands
| | - M Tilly
- Erasmus University Medical Centre, Department of Epidemiology , Rotterdam , The Netherlands
| | - M A Ikram
- Erasmus University Medical Centre, Department of Epidemiology , Rotterdam , The Netherlands
| | - N M S De Groot
- Erasmus University Medical Centre, Department of Cardiology , Rotterdam , The Netherlands
| | - M Kavousi
- Erasmus University Medical Centre, Department of Epidemiology , Rotterdam , The Netherlands
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Nagy T, Ann Gormley M, Moschella P, Lu Z, Rodriguez J, Roth P. 71 HIV Pre-exposure Prophylaxis in the Emergency Department: A Systematic Review. Ann Emerg Med 2022. [DOI: 10.1016/j.annemergmed.2022.08.094] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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43
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Wang C, Lu Z, Simpson C, Lee D, Tranmer J. PREDICTING LONG-TERM SURVIVAL AFTER DE NOVO CARDIOVERTER DEFIBRILLATOR IMPLANTATION FOR PRIMARY PREVENTION. Can J Cardiol 2022. [DOI: 10.1016/j.cjca.2022.08.118] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022] Open
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44
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Cybulski T, Klug Z, Nelson R, Sala M, Diaz E, Lu Z, Misharin A, Jain M. 427 Persistence of cell type–specific transcriptomic changes in the nasal epithelium of people with cystic fibrosis receiving cystic fibrosis transmembrane conductance regulator modulators. J Cyst Fibros 2022. [DOI: 10.1016/s1569-1993(22)01117-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
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45
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Tian M, Lu Z, Chen S, Lu G, Bu F, Deng W, Ding R. 1014P Resistance landscape to almonertinib in EGFR-mutated NSCLC. Ann Oncol 2022. [DOI: 10.1016/j.annonc.2022.07.1140] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/01/2022] Open
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46
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Ning R, Pang H, Yan Z, Lu Z, Wang Q, Wu Z, Dai W, Liu L, Li Z, Fan G, Fu X. An innovative S-scheme AgCl/MIL-100(Fe) heterojunction for visible-light-driven degradation of sulfamethazine and mechanism insight. J Hazard Mater 2022; 435:129061. [PMID: 35650744 DOI: 10.1016/j.jhazmat.2022.129061] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [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: 03/09/2022] [Revised: 04/18/2022] [Accepted: 04/30/2022] [Indexed: 06/15/2023]
Abstract
The development of high efficient photocatalysts for antibiotics contamination in water remains a severe challenge. In this study, a novel step-scheme (S-scheme) photocatalytic heterojunction nanocomposites were fabricated from integrating AgCl nanoparticles on the MIL-100(Fe) octahedron surface through facile multi-stage stirring strategy. The S-scheme heterojunction structure in AgCl/MIL-100(Fe) (AM) nanocomposite provided a more rational utilization of electrons (e-) and holes (h+), accelerated the carrier transport at the junction interface, and enhanced the overall photocatalytic performance of nanomaterials. The visible-light-driven photocatalysts were used to degrade sulfamethazine (SMZ) which attained a high removal efficiency (99.9%). The reaction mechanisms of SMZ degradation in the AM photocatalytic system were explored by electron spin resonance (ESR) and active species capture experiments, which superoxide radical (•O2-), hydroxyl radical (•OH), and h+ performed as major roles. More importantly, the SMZ degradation pathway and toxicity assessment were proposed. There were four main pathways of SMZ degradation, including the processes of oxidation, hydroxylation, denitrification, and desulfonation. The toxicity of the final products in each pathway was lower than that of the parent according to the toxicity evaluation results. Therefore, this work might provide new insights into the environmentally-friendly photocatalytic processes of S-scheme AM nanocomposites for the efficient degradation of antibiotics pollutants.
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Affiliation(s)
- Rongsheng Ning
- State Key Laboratory of Pollution Control and Resource Reuse, College of Environmental Science and Engineering, Tongji University, Shanghai 200092, PR China; College of Civil Engineering, Fuzhou University, 350116 Fujian, PR China
| | - Heliang Pang
- School of Environmental and Municipal Engineering, Xi'an University of Architecture and Technology, Xi'an 710055, PR China
| | - Zhongsen Yan
- College of Civil Engineering, Fuzhou University, 350116 Fujian, PR China; Zijin Mining Group Co, Ltd., Fujian, PR China; State Key Laboratory of Photocatalysis on Energy and Environment, Fuzhou University, 350002 Fujian, PR China.
| | - Zhenyu Lu
- College of Civil Engineering, Fuzhou University, 350116 Fujian, PR China
| | | | - Zengling Wu
- Zijin Mining Group Co, Ltd., Fujian, PR China
| | - Wenxin Dai
- State Key Laboratory of Photocatalysis on Energy and Environment, Fuzhou University, 350002 Fujian, PR China
| | - Lingshan Liu
- College of Civil Engineering, Fuzhou University, 350116 Fujian, PR China
| | - Zhongsheng Li
- Zijin Internationl Holdings Co., Ltd, 572000, Hainan, China
| | - Gongduan Fan
- College of Civil Engineering, Fuzhou University, 350116 Fujian, PR China.
| | - Xianzhi Fu
- State Key Laboratory of Photocatalysis on Energy and Environment, Fuzhou University, 350002 Fujian, PR China
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Junde Z, Tingting L, Lu Z, Shan C, Dan Y, Yizhen Z. Lithium chloride promotes neural functional recovery after local cerebral ischaemia injury in rats through Wnt signalling pathway activation. Folia Morphol (Warsz) 2022; 82:519-532. [PMID: 35916382 DOI: 10.5603/fm.a2022.0068] [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: 05/23/2022] [Accepted: 07/07/2022] [Indexed: 11/25/2022]
Abstract
BACKGROUND Lithium chloride (LiCl) has a significant neuroprotective effect in cerebral ischaemia. However, to date, there is a paucity of evidence on the role of LiCl in neural restoration after brain ischaemia and the signalling pathways involved remain unclear. MATERIALS AND METHODS Therefore, to address this gap, the middle cerebral artery occlusion (MCAO) rat model was used to simulate human ischaemia stroke. Male Sprague-Dawley rats were given MCAO for 90 min followed by reperfusion, and Dickkopf-1 (DKK1, 5.0 μg/kg) was administered half an hour before MCAO. Rats were then treated with hypodermic injection of LiCl (2.0 mmol/kg) twice a day for 1 week. After treatment, cognitive impairment was assessed by the Morris water maze test. Neurological deficit score, 2,3,5-triphenyl tetrazolium chloride staining, brain water content, and histopathology were used to evaluate brain damage. Enzyme-linked immunosorbent assay was used to measure oxidative stress damage and inflammatory cytokines. Apoptosis of the hippocampal neurons was tested by western blot. The key factors of Wnt signalling pathway in the ischaemic penumbra were detected by immunofluorescence staining and quantitative real-time polymerase chain reaction. RESULTS Current experimental results showed that LiCl treatment significantly improved the impaired spatial learning and memory ability, suppressed oxidative stress, inflammatory reaction, and neuron apoptosis accompanied by attenuating neuronal damage, which subsequently decreased the brain oedema, infarct volume and neurological deficit. Furthermore, the treatment of LiCl activated Wnt signalling pathway. Interestingly, the aforementioned effects of LiCl treatment were markedly reversed by administration of DKK1, an inhibitor of Wnt signalling pathway. CONCLUSIONS These results indicate that LiCl exhibits neuroprotective effects in focal cerebral ischaemia by Wnt signalling pathway activation, and it might have latent clinical application for the prevention and treatment of ischaemic stroke.
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Affiliation(s)
- Z Junde
- Department of Anatomy, School of Basic Medicine, Guizhou Medical University, Guiyang, China.
| | - L Tingting
- Department of Anatomy, School of Basic Medicine, Guizhou Medical University, Guiyang, China
| | - Z Lu
- Department of Anatomy, School of Basic Medicine, Guizhou Medical University, Guiyang, China
| | - C Shan
- Department of Anatomy, School of Basic Medicine, Guizhou Medical University, Guiyang, China
| | - Y Dan
- Department of Anatomy, School of Basic Medicine, Guizhou Medical University, Guiyang, China
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Lu Z, Gong Z, Wang H, Zhu M, Jiang H, Cao Y. P-382 Decrease of serum estradiol prior to human chorionic gonadotrophin administration have an impact on live birth in IVF/ICSI cycles. Hum Reprod 2022. [DOI: 10.1093/humrep/deac107.360] [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: 11/14/2022] Open
Abstract
Abstract
Study question
Whether decrease of serum estradiol prior to human chorionic gonadotrophin administration have an impact on live birth in IVF/ICSI cycles?
Summary answer
The E2 change before the day of hCG administration had significant correlation with live birth. The live birth rate decreased with decreasing serum E2 level.
What is known already
The objective of this study was to assess the effects of a decrease of estradiol (E2) levels on the day of human chorionic gonadotrophin (hCG) administration on in vitro fertilization /intracytoplasmic sperm injection (IVF/ICSI) outcomes, including cycles with long, antagonist and micro stimulus protocols.
Study design, size, duration
In this retrospective cohort study, 1303 patients who received IVF/ICSI non-donor treatment were identified. Patients were divided into two groups according to live birth and the characteristics of IVF/ICSI cycles were compared between groups, including baseline infertility parameters, ovarian stimulation characteristics and embryo laboratory manipulation parameters.
Participants/materials, setting, methods
In this retrospective cohort study, 1303 patients who received IVF/ICSI non-donor treatment were identified. Patients were divided into two groups according to live birth and the characteristics of IVF/ICSI cycles were compared between groups, including baseline infertility parameters, ovarian stimulation characteristics and embryo laboratory manipulation parameters. The multivariate logistic regression model was performed to adjust potential confounders and assess correlation between E2 dynamics before hCG administration and live birth.
Main results and the role of chance
Our results revealed that patients without live birth had higher age (32.13 ± 4.33 vs. 30.21 ± 3.71, P < 0.001) and pervious miscarriages (0.57 ± 0.95 vs. 0.46 ± 0.83, P = 0.0295), while had lower number of oocytes retrieved (8.95 ± 4.69 vs. 12.36 ± 5.54, P < 0.001), day of hCG E2 (8269.53 ± 4104.22 vs. 9580.71 ± 3534.11, P < 0.001) and endometrium thickness (10.37 ± 3.66 vs. 11.50 ± 3.40, P < 0.001) compared with patients with live birth. Additionally, the multivariate logistic regression analysis displayed significant impact of serum E2 change on the live birth, and the achievement of live birth [OR (95%CI) 0.81 (0.71, 0.92), P = 0.001] decreased with the decreasing level of serum E2 before hCG trigger day. Estradiol stratification analyses displayed the OR and 95% CI for the association between △E2 and live birth among patients with different levels of estradiol decline (<25%, 25%–50%, 50%–75%, >75%). Compared with the <25% decline and 25%–50% decline groups, the ORs of 50%–75% and >75% decline groups were 1.66 (95% CI: 1.12-2.45, P = 0.012) and 2.00 (95% CI: 1.39-2.89, P < 0.001), respectively, after adjusting potential confounders.
Limitations, reasons for caution
There was concealment of randomization and blinding of outcome assessments reducing the risk of selection and measurement bias.
Wider implications of the findings
In summary, the E2 change before the day of hCG administration had significant correlation with live birth, and the live birth decreased with the decreasing level of serum E2 before hCG trigger day. The patients with a greater decline in the E2 level more likely to had poor clinical outcomes.
Trial registration number
Chi CTR1900026088
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Affiliation(s)
- Z Lu
- The First Affiliated Hospital of Anhui Medical University, Reproductive Medicine Center- Department of Obstetrics and Gynecology , Hefei, China
| | - Z Gong
- The First Affiliated Hospital of Anhui Medical University, Reproductive Medicine Center- Department of Obstetrics and Gynecology , Hefei, China
| | - H Wang
- The First Affiliated Hospital of Anhui Medical University, Reproductive Medicine Center- Department of Obstetrics and Gynecology , Hefei, China
| | - M Zhu
- The First Affiliated Hospital of Anhui Medical University, Reproductive Medicine Center- Department of Obstetrics and Gynecology , Hefei, China
| | - H Jiang
- The First Affiliated Hospital of Anhui Medical University, Reproductive Medicine Center- Department of Obstetrics and Gynecology , Hefei, China
| | - Y Cao
- The First Affiliated Hospital of Anhui Medical University, Reproductive Medicine Center- Department of Obstetrics and Gynecology , Hefei, China
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Huang S, Qin S, Wen J, Zhou Y, Lu Z. Screening and expression verification of key genes in cutaneous squamous cell carcinoma. Transl Cancer Res 2022; 11:1730-1739. [PMID: 35836527 PMCID: PMC9273711 DOI: 10.21037/tcr-22-1267] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2022] [Accepted: 06/01/2022] [Indexed: 11/06/2022]
Affiliation(s)
- Shuting Huang
- The Second School of Clinical Medicine, Southern Medical University, Guangzhou, China
- Department of Dermatology, Guangdong Second Provincial General Hospital, Guangzhou, China
| | - Si Qin
- The Second School of Clinical Medicine, Southern Medical University, Guangzhou, China
- Department of Dermatology, Guangdong Second Provincial General Hospital, Guangzhou, China
| | - Ju Wen
- The Second School of Clinical Medicine, Southern Medical University, Guangzhou, China
- Department of Dermatology, Guangdong Second Provincial General Hospital, Guangzhou, China
| | - Yangfan Zhou
- Department of Pathology, Guangdong Second Provincial General Hospital, Guangzhou, China
| | - Zhenyu Lu
- The Second School of Clinical Medicine, Southern Medical University, Guangzhou, China
- Department of Dermatology, Guangdong Second Provincial General Hospital, Guangzhou, China
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50
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Liu X, Li H, Zeng L, Lu Z, Chen S, Bibikova M, Chen Z, Fan J. P-129 Evaluation of HER2 status in equivocal gastric cancer tissue samples using surrogate DNA methylation markers. Ann Oncol 2022. [DOI: 10.1016/j.annonc.2022.04.219] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022] Open
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