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Hu G, Che P, Deng L, Liu L, Liao J, Liu Q. MiR-378a-5p exerts a radiosensitizing effect on CRC through LRP8/β-catenin axis. Cancer Biol Ther 2024; 25:2308165. [PMID: 38389136 PMCID: PMC10896128 DOI: 10.1080/15384047.2024.2308165] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2023] [Accepted: 01/17/2024] [Indexed: 02/24/2024] Open
Abstract
BACKGROUND MiRNAs are closely related to tumor radiosensitivity. MiR-378a-5p level is down-regulated in colorectal cancer (CRC). Therefore, this study intends to explore the role of miR-378a-5p in CRC, especially radiosensitivity. METHODS The expression of miR-378a-5p was analyzed in CRC samples. CRC cell lines were treated with different doses of X-rays. Bioinformatics analysis, dual-luciferase reporter assay and RT-qPCR were used to detect the expressions and binding relationship of miR-378a-5p and low-density lipoprotein receptor-related protein 8 (LRP8). MiR-378a-5p inhibitor or/and siLRP8 were transfected into CRC cells with or without irradiation. Subsequently, clonogenic assay, flow cytometry and in vivo experiments including tumorigenesis assay, immunohistochemistry, RT-qPCR and Western blot were performed to clarify the role of miR-378a-5p/LRP8 axis in the radiosensitivity of CRC. RESULTS The down-regulated expression of miR-378a-5p in CRC is related to histological differentiation and tumor-node-metastasis (TNM) stage. After irradiation, the survival fraction of CRC cells was decreased, while the apoptotic rate and the level of miR-378a-5p were increased. Restrained miR-378a-5p repressed apoptosis and apoptosis-related protein expressions, yet promoted the proliferation and the radioresistance of cells by regulating β-catenin in CRC cells. LRP8 was highly expressed in CRC, and targeted by miR-378a-5p. SiLRP8 improved radiosensitivity and reversed the effect of miR-378a-5p down-regulation on CRC cells. Overexpressed miR-378a-5p and irradiation enhanced the level of miR-378a-5p, yet suppressed the expressions of Ki67 and LRP8 as well as tumorigenesis. CONCLUSION MiR-378a-5p may exert a radiosensitizing effect on CRC through the LRP8/β-catenin axis, which may be a new therapeutic target for CRC radioresistance.
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Affiliation(s)
- Guolin Hu
- Department of Oncology, The Sixth Affiliated Hospital of Guangzhou Medical University, Qingyuan People’s Hospital, Qingyuan, China
| | - Pengbiao Che
- Department of Ultrasound, The Sixth Affiliated Hospital of Guangzhou Medical University, Qingyuan People’s Hospital, Qingyuan, China
| | - Ling Deng
- Department of Oncology, The Sixth Affiliated Hospital of Guangzhou Medical University, Qingyuan People’s Hospital, Qingyuan, China
| | - Lei Liu
- Department of Oncology, The Sixth Affiliated Hospital of Guangzhou Medical University, Qingyuan People’s Hospital, Qingyuan, China
| | - Jia Liao
- Department of Oncology, The Sixth Affiliated Hospital of Guangzhou Medical University, Qingyuan People’s Hospital, Qingyuan, China
| | - Qi Liu
- Department of Oncology, The Sixth Affiliated Hospital of Guangzhou Medical University, Qingyuan People’s Hospital, Qingyuan, China
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2
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Liu W, Zhao M, Gan L, Sun B, He S, Liu Y, Liu L, Li W, Chen J, Liu Y, Zhang J, Xu J. PeposX-Exhaust: A lightweight and efficient tool for identification of short peptides. Food Chem X 2024; 22:101249. [PMID: 38440058 PMCID: PMC10910222 DOI: 10.1016/j.fochx.2024.101249] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2023] [Revised: 02/16/2024] [Accepted: 02/18/2024] [Indexed: 03/06/2024] Open
Abstract
Short peptides have become the focus of recent research due to their variable bioactivities, good digestibility and wide existences in food-derived protein hydrolysates. However, due to the high complexity of the samples, identifying short peptides still remains a challenge. In this work, a tool, named PeposX-Exhaust, was developed for short peptide identification. Through validation with known peptides, PeposX-Exhaust identified all the submitted spectra and the accuracy rate reached 75.36%, and the adjusted accuracy rate further reached 98.55% when with top 5 candidates considered. Compared with other tools, the accuracy rate by PeposX-Exhaust was at least 70% higher than two database-search tools and 15% higher than the other two de novo-sequencing tools, respectively. For further application, the numbers of short peptides identified from soybean, walnut, collagen and bonito protein hydrolysates reached 1145, 628, 746 and 681, respectively. This fully demonstrated the superiority of the tool in short peptide identification.
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Affiliation(s)
- Wanshun Liu
- Guangdong Provincial Key Laboratory of Large Animal Models for Biomedicine, School of Pharmacy and Food Engineering, Wuyi University, Jiangmen 529020, China
| | - Mouming Zhao
- Guangdong Provincial Key Laboratory of Large Animal Models for Biomedicine, School of Pharmacy and Food Engineering, Wuyi University, Jiangmen 529020, China
- School of Food Science and Engineering, South China University of Technology, Guangzhou 510640, China
| | - Lishe Gan
- Guangdong Provincial Key Laboratory of Large Animal Models for Biomedicine, School of Pharmacy and Food Engineering, Wuyi University, Jiangmen 529020, China
- College of Pharmaceutical Sciences, Zhejiang University, Hangzhou 310058, China
| | - Baoguo Sun
- Beijing Advanced Innovation Center for Food Nutrition and Human Health, Beijing Technology & Business University, Beijing 100048, China
| | - Shiqi He
- Guangdong Provincial Key Laboratory of Large Animal Models for Biomedicine, School of Pharmacy and Food Engineering, Wuyi University, Jiangmen 529020, China
| | - Yang Liu
- Guangdong Provincial Key Laboratory of Large Animal Models for Biomedicine, School of Pharmacy and Food Engineering, Wuyi University, Jiangmen 529020, China
- College of Food Science and Technology, Hunan Agricultural University, Changsha 410128, China
| | - Lei Liu
- Guangdong Provincial Key Laboratory of Large Animal Models for Biomedicine, School of Pharmacy and Food Engineering, Wuyi University, Jiangmen 529020, China
| | - Wu Li
- Guangdong Provincial Key Laboratory of Large Animal Models for Biomedicine, School of Pharmacy and Food Engineering, Wuyi University, Jiangmen 529020, China
| | - Jing Chen
- Guangdong Provincial Key Laboratory of Large Animal Models for Biomedicine, School of Pharmacy and Food Engineering, Wuyi University, Jiangmen 529020, China
| | - Yang Liu
- Guangdong Provincial Key Laboratory of Large Animal Models for Biomedicine, School of Pharmacy and Food Engineering, Wuyi University, Jiangmen 529020, China
| | - Jianan Zhang
- School of Food Science and Engineering, South China University of Technology, Guangzhou 510640, China
| | - Jucai Xu
- Guangdong Provincial Key Laboratory of Large Animal Models for Biomedicine, School of Pharmacy and Food Engineering, Wuyi University, Jiangmen 529020, China
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Zhang T, Wang Y, Sun J, Liang J, Wang B, Xu X, Xu J, Liu L. Precision in wheat flour classification: Harnessing the power of deep learning and two-dimensional correlation spectrum (2DCOS). Spectrochim Acta A Mol Biomol Spectrosc 2024; 314:124112. [PMID: 38518439 DOI: 10.1016/j.saa.2024.124112] [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: 02/28/2024] [Accepted: 03/02/2024] [Indexed: 03/24/2024]
Abstract
Wheat flour is a ubiquitous food ingredient, yet discerning its various types can prove challenging. A practical approach for identifying wheat flour types involves analyzing one-dimensional near-infrared spectroscopy (NIRS) data. This paper introduces an innovative method for wheat flour recognition, combining deep learning (DL) with Two-dimensional correlation spectrum (2DCOS). In this investigation, 316 samples from four distinct types of wheat flour were collected using a near-infrared (NIR) spectrometer, and the raw spectra of each sample underwent preprocessing employing diverse methods. The discrete generalized 2DCOS algorithm was applied to generate 3792 2DCOS images from the preprocessed spectral data. We trained a deep learning model tailored for flour 2DCOS images - EfficientNet. Ultimately, this DL model achieved 100% accuracy in identifying wheat flour within the test set. The findings demonstrate the viability of directly transforming spectra into two-dimensional images for species recognition using 2DCOS and DL. Compared to the traditional stoichiometric method Partial Least Squares Discriminant Analysis (PLS_DA), machine learning methods Support Vector Machines (SVM) and K-Nearest Neighbors (KNN), and deep learning methods one-dimensional convolutional neural network (1DCNN) and residual neural network (ResNet), the model proposed in this paper is better suited for wheat flour identification, boasting the highest accuracy. This study offers a fresh perspective on wheat flour type identification and successfully integrates the latest advancements in deep learning with 2DCOS for spectral type identification. Furthermore, this approach can be extended to the spectral identification of other products, presenting a novel avenue for future research in the field.
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Affiliation(s)
- Tianrui Zhang
- College of Artificial Intelligence, Nankai University, Tianjin 300350, China
| | - Yifan Wang
- College of Artificial Intelligence, Nankai University, Tianjin 300350, China
| | - Jiansong Sun
- College of Artificial Intelligence, Nankai University, Tianjin 300350, China
| | - Jing Liang
- College of Artificial Intelligence, Nankai University, Tianjin 300350, China
| | - Bin Wang
- College of Artificial Intelligence, Nankai University, Tianjin 300350, China.
| | - Xiaoxuan Xu
- College of Artificial Intelligence, Nankai University, Tianjin 300350, China; Yunnan Research Institute, Nankai University, Kunming 650091, China
| | - Jing Xu
- College of Artificial Intelligence, Nankai University, Tianjin 300350, China
| | - Lei Liu
- College of Artificial Intelligence, Nankai University, Tianjin 300350, China
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Zhao M, Liu H, Liu M, Yue Z, Li C, Liu L, Li F. Metagenomics and metabolomics reveal that gut microbiome adapts to the diet transition in Hyla rabbits. Microbiol Res 2024; 283:127705. [PMID: 38554650 DOI: 10.1016/j.micres.2024.127705] [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: 11/06/2023] [Revised: 03/14/2024] [Accepted: 03/24/2024] [Indexed: 04/02/2024]
Abstract
There is still a lack of longitudinal dynamic studies on the taxonomic features, functional reserves, and metabolites of the rabbit gut microbiome. An experiment was conducted to characterize the bacterial community of rabbits. By combining metagenomics and metabolomics, we have comprehensively analyzed the longitudinal dynamics of the rabbit gut microbiota and its effect on host adaptability. Our data reveal an overall increasing trend in microbial community and functional gene diversity and richness during the pre-harvest lifespan of rabbits. The introduction of solid feed is an important driving factor affecting rabbit gut microbiological compositions. Clostridium and Ruminococcus had significantly higher relative abundances in the solid feed stage. Further, the starch and fiber in solid feed promote the secretion of carbohydrate-degrading enzymes, which helps the host adapt to dietary changes. The rabbit gut microbiota can synthesize lysine, and the synthase is gradually enriched during the diet transformation. The gut microbiota of newborn rabbits has a higher abundance of lipid metabolism, which helps the host obtain more energy from breast milk lipids. The rabbit gut microbiota can also synthesize a variety of secondary bile acids after the introduction of solid feed. These findings provide a novel understanding of how the gut microbiota mediates adaptability to environment and diet in rabbits and provide multiple potential strategies for regulating intestinal health and promoting higher feed efficiency.
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Affiliation(s)
- Man Zhao
- Key Laboratory of Efficient Utilization of Non-Grain Feed Resources (Co-Construction by Ministry and Province), Ministry of Agriculture and Rural Affairs, Department of Animal Science, Shandong Agricultural University, Taian, China
| | - Hongli Liu
- Key Laboratory of Efficient Utilization of Non-Grain Feed Resources (Co-Construction by Ministry and Province), Ministry of Agriculture and Rural Affairs, Department of Animal Science, Shandong Agricultural University, Taian, China
| | - Mengqi Liu
- Key Laboratory of Efficient Utilization of Non-Grain Feed Resources (Co-Construction by Ministry and Province), Ministry of Agriculture and Rural Affairs, Department of Animal Science, Shandong Agricultural University, Taian, China
| | - Zhengkai Yue
- Key Laboratory of Efficient Utilization of Non-Grain Feed Resources (Co-Construction by Ministry and Province), Ministry of Agriculture and Rural Affairs, Department of Animal Science, Shandong Agricultural University, Taian, China
| | - Chenyang Li
- Key Laboratory of Efficient Utilization of Non-Grain Feed Resources (Co-Construction by Ministry and Province), Ministry of Agriculture and Rural Affairs, Department of Animal Science, Shandong Agricultural University, Taian, China
| | - Lei Liu
- Key Laboratory of Efficient Utilization of Non-Grain Feed Resources (Co-Construction by Ministry and Province), Ministry of Agriculture and Rural Affairs, Department of Animal Science, Shandong Agricultural University, Taian, China.
| | - Fuchang Li
- Key Laboratory of Efficient Utilization of Non-Grain Feed Resources (Co-Construction by Ministry and Province), Ministry of Agriculture and Rural Affairs, Department of Animal Science, Shandong Agricultural University, Taian, China.
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5
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Song J, Zhang C, Zheng Z, Huo S, Lin Y, Yang F, Liu L. Construction of SnO 2 buffer layer and analysis of its interface modification for Li and Li 1.5Al 0.5Ge 1.5(PO 4) 3 in solid-state batteries. J Colloid Interface Sci 2024; 663:132-142. [PMID: 38394818 DOI: 10.1016/j.jcis.2024.02.151] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2023] [Revised: 02/06/2024] [Accepted: 02/19/2024] [Indexed: 02/25/2024]
Abstract
SnO2 layer between Li1.5Al0.5Ge1.5(PO4)3 (LAGP) and lithium anode was prepared through simple scratch-coating process to improve interface properties. The physical phase, morphology, and electrochemical properties of Li/SnO2/LAGP structure were characterized by X-ray diffraction, scanning electron microscopy, X-ray photoelectron spectroscopy, and electrochemical analytical methods. It was found that SnO2 layer effectively improved the interface stability of LAGP and lithium anode. The prepared Li/SnO2/LAGP/SnO2/Li symmetric cell exhibited a large critical current density of 1.8 mA cm-2 and demonstrated excellent cycling characteristics. The polarization voltages of symmetric cell were 0.1 V and 0.8 V after 1000 h of cycling at current densities of 0.04 mA cm-2 and 0.5 mA cm-2, respectively. Li/SnO2@LAGP/LiFePO4 solid-state full cells were also assembled, exhibiting a discharge specific capacity of 150 mAh g-1 after 200 cycles at 0.1C with capacity retention rate of 96 %. The good interface properties of Li/SnO2/LAGP structure are attributed to the transformation of SnO2 layer into a buffer layer containing Li2O, Sn0, and LixSny alloy during cycling process, which effectively inhibits the reduction reaction between LAGP and lithium anode.
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Affiliation(s)
- Jinhong Song
- College of Electronic Information Engineering, Key Laboratory of Brain-like Neuromorphic Devices and Systems Hebei Province, Hebei University, Baoding 071002, PR China
| | - Chen Zhang
- College of Electronic Information Engineering, Key Laboratory of Brain-like Neuromorphic Devices and Systems Hebei Province, Hebei University, Baoding 071002, PR China
| | - Zejian Zheng
- College of Electronic Information Engineering, Key Laboratory of Brain-like Neuromorphic Devices and Systems Hebei Province, Hebei University, Baoding 071002, PR China
| | - Shizhe Huo
- College of Electronic Information Engineering, Key Laboratory of Brain-like Neuromorphic Devices and Systems Hebei Province, Hebei University, Baoding 071002, PR China
| | - Yihan Lin
- College of Electronic Information Engineering, Key Laboratory of Brain-like Neuromorphic Devices and Systems Hebei Province, Hebei University, Baoding 071002, PR China
| | - Fei Yang
- State Key Laboratory of Advanced Power Transmission Technology, State Grid Smart Grid Research Institute Co., Ltd, Beijing 102209, PR China.
| | - Lei Liu
- College of Electronic Information Engineering, Key Laboratory of Brain-like Neuromorphic Devices and Systems Hebei Province, Hebei University, Baoding 071002, PR China.
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6
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Gao Q, Zeng Z, Hao T, Zhang Z, Liang D, Xia C, Gao H, Liu L. Transcriptional and post-transcriptional regulation of chloroplast development by nuclear-localized XAP5 CIRCADIAN TIMEKEEPER. Plant Sci 2024; 343:112081. [PMID: 38579979 DOI: 10.1016/j.plantsci.2024.112081] [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: 01/09/2024] [Revised: 03/08/2024] [Accepted: 04/01/2024] [Indexed: 04/07/2024]
Abstract
Chlorophyll biosynthesis and breakdown, important cellular processes for photosynthesis, occur in the chloroplast. As a semi-autonomous organelle, chloroplast development is mainly regulated by nuclear-encoded chloroplast proteins and proteins encoded by itself. However, the knowledge of chloroplast development regulated by other organelles is limited. Here, we report that the nuclear-localized XAP5 CIRCADIAN TIMEKEEPER (XCT) is essential for chloroplast development in Arabidopsis. In this study, significantly decreased chlorophyll content phenotypes of cotyledons and subsequently emerging organs from shoot apical meristem were observed in xct-2. XCT is constitutively expressed in various tissues and localized in the nuclear with speckle patterns. RNA-seq analysis identified 207 differently spliced genes and 1511 differently expressed genes, in which chloroplast development-, chlorophyll metabolism- and photosynthesis-related genes were enriched. Further biochemical assays suggested that XCT was co-purified with the well-known splicing factors and transcription machinery, suggesting dual functions of XCT in gene transcription and splicing. Interestingly, we also found that the chlorophyll contents in xct-2 significantly decreased under high temperature and high light condition, indicating XCT integrates temperature and light signals to fine-tune the chlorophyll metabolism in Arabidopsis. Therefore, our results provide new insights into chloroplast development regulation by XCT, a nuclear-localized protein, at the transcriptional and post-transcriptional level.
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Affiliation(s)
- Qian Gao
- Jiangsu Key Laboratory for Eco-agriculture Biotechnology around Hongze Lake, Jiangsu Collaborative Innovation Center of Regional Modern Agriculture and Environment Protection, Huaiyin Normal University, Huaian 223300, China
| | - Ziyang Zeng
- Jiangsu Key Laboratory for Eco-agriculture Biotechnology around Hongze Lake, Jiangsu Collaborative Innovation Center of Regional Modern Agriculture and Environment Protection, Huaiyin Normal University, Huaian 223300, China
| | - Tianqi Hao
- Jiangsu Key Laboratory for Eco-agriculture Biotechnology around Hongze Lake, Jiangsu Collaborative Innovation Center of Regional Modern Agriculture and Environment Protection, Huaiyin Normal University, Huaian 223300, China
| | - Ziru Zhang
- Jiangsu Key Laboratory for Eco-agriculture Biotechnology around Hongze Lake, Jiangsu Collaborative Innovation Center of Regional Modern Agriculture and Environment Protection, Huaiyin Normal University, Huaian 223300, China
| | - Daan Liang
- Jiangsu Key Laboratory for Eco-agriculture Biotechnology around Hongze Lake, Jiangsu Collaborative Innovation Center of Regional Modern Agriculture and Environment Protection, Huaiyin Normal University, Huaian 223300, China
| | - Congcong Xia
- Jiangsu Key Laboratory for Eco-agriculture Biotechnology around Hongze Lake, Jiangsu Collaborative Innovation Center of Regional Modern Agriculture and Environment Protection, Huaiyin Normal University, Huaian 223300, China
| | - Hui Gao
- College of Marine Resources and Environment, Hebei Normal University of Science and Technology, Qinhuangdao 066600, China.
| | - Lei Liu
- Jiangsu Key Laboratory for Eco-agriculture Biotechnology around Hongze Lake, Jiangsu Collaborative Innovation Center of Regional Modern Agriculture and Environment Protection, Huaiyin Normal University, Huaian 223300, China.
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Zhao M, Huang T, Xiang X, Liu Y, Gu W, Liu L, Tang H, Xu J, Mao J. A 7-year-old boy presented with temporal lobe lesion. Brain Pathol 2024; 34:e13246. [PMID: 38355114 PMCID: PMC11007013 DOI: 10.1111/bpa.13246] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2023] [Accepted: 01/28/2024] [Indexed: 02/16/2024] Open
Affiliation(s)
- Manli Zhao
- Department of Pathology, Children's HospitalZhejiang University School of Medicine, National Clinical Research Center for Child HealthHangzhouZhejiangChina
| | - Tingting Huang
- Department of Pathology, Children's HospitalZhejiang University School of Medicine, National Clinical Research Center for Child HealthHangzhouZhejiangChina
| | - Xueping Xiang
- Department of Pathology, The Second Affiliated HospitalZhejiang University School of MedicineHangzhouZhejiangChina
| | - Yang Liu
- Department of Pathology, Children's HospitalZhejiang University School of Medicine, National Clinical Research Center for Child HealthHangzhouZhejiangChina
| | - Weizhong Gu
- Department of Pathology, Children's HospitalZhejiang University School of Medicine, National Clinical Research Center for Child HealthHangzhouZhejiangChina
| | - Lei Liu
- Department of Pathology, Children's HospitalZhejiang University School of Medicine, National Clinical Research Center for Child HealthHangzhouZhejiangChina
| | - Hongfeng Tang
- Department of Pathology, Children's HospitalZhejiang University School of Medicine, National Clinical Research Center for Child HealthHangzhouZhejiangChina
| | - Jinghong Xu
- Department of Pathology, The Second Affiliated HospitalZhejiang University School of MedicineHangzhouZhejiangChina
| | - Jianhua Mao
- Department of Nephrology, Children's HospitalZhejiang University School of Medicine, National Clinical Research Center for Child HealthHangzhouZhejiangChina
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Hu Y, Mu N, Liu L, Zhang L, Jiang J, Li X. Slimmable transformer with hybrid axial-attention for medical image segmentation. Comput Biol Med 2024; 173:108370. [PMID: 38564854 DOI: 10.1016/j.compbiomed.2024.108370] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2023] [Revised: 03/14/2024] [Accepted: 03/24/2024] [Indexed: 04/04/2024]
Abstract
The transformer architecture has achieved remarkable success in medical image analysis owing to its powerful capability for capturing long-range dependencies. However, due to the lack of intrinsic inductive bias in modeling visual structural information, the transformer generally requires a large-scale pre-training schedule, limiting the clinical applications over expensive small-scale medical data. To this end, we propose a slimmable transformer to explore intrinsic inductive bias via position information for medical image segmentation. Specifically, we empirically investigate how different position encoding strategies affect the prediction quality of the region of interest (ROI) and observe that ROIs are sensitive to different position encoding strategies. Motivated by this, we present a novel Hybrid Axial-Attention (HAA) that can be equipped with pixel-level spatial structure and relative position information as inductive bias. Moreover, we introduce a gating mechanism to achieve efficient feature selection and further improve the representation quality over small-scale datasets. Experiments on LGG and COVID-19 datasets prove the superiority of our method over the baseline and previous works. Internal workflow visualization with interpretability is conducted to validate our success better; the proposed slimmable transformer has the potential to be further developed into a visual software tool for improving computer-aided lesion diagnosis and treatment planning.
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Affiliation(s)
- Yiyue Hu
- College of Computer Science, Sichuan Normal University, Chengdu, 610101, China
| | - Nan Mu
- College of Computer Science, Sichuan Normal University, Chengdu, 610101, China; Department of Biomedical Engineering, Michigan Technological University, Houghton, MI, 49931, USA; Visual Computing and Virtual Reality Key Laboratory of Sichuan, Sichuan Normal University, Chengdu, 610068, China.
| | - Lei Liu
- School of Science and Engineering, The Chinese University of Hong Kong, Shenzhen, Shenzhen, 518172, China
| | - Lei Zhang
- College of Computer Science, Sichuan Normal University, Chengdu, 610101, China
| | - Jingfeng Jiang
- Department of Biomedical Engineering, Michigan Technological University, Houghton, MI, 49931, USA
| | - Xiaoning Li
- College of Computer Science, Sichuan Normal University, Chengdu, 610101, China; Education Big Data Collaborative Innovation Center of Sichuan 2011, Chengdu, 610101, China
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Li C, Hua G, Liu S, Yu H, Yang X, Liu L. Global, regional, and national burden of blindness and vision loss attributable to high fasting plasma glucose from 1990 to 2019, and forecasts to 2030: A systematic analysis for the Global Burden of Disease Study 2019. Diabetes Metab Res Rev 2024; 40:e3802. [PMID: 38634501 DOI: 10.1002/dmrr.3802] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/14/2023] [Accepted: 03/14/2024] [Indexed: 04/19/2024]
Abstract
AIMS To systematically clarify the spatiotemporal trends, and age-sex-specific blindness and vision loss (BVL) burden due to high fasting plasma glucose (HFPG) from 1990 to 2019, and project this burden over the next decade. MATERIALS AND METHODS We obtained the number and rate of years lived with disability (YLDs) for the BVL burden attributable to HFPG by age, sex, socio-demographic index (SDI), and location between 1990 and 2019 from the Global Burden of Disease (GBD) 2019 database. The average annual percentage changes (AAPCs) were calculated to assess the temporal trends of HFPG-attributable BVL burden. The Bayesian age-period-cohort model was used to predict the HFPG-attributable BVL burden. RESULTS In 2019, the global number and age-standardized rate (ASR) for YLDs of BVL attributable to HFPG were 673.13 (95% UI: 159.52 to 1565.34) thousand and 8.44 (95% UI: 2.00 to 19.63) per 100,000 people, respectively. The highest burdens were found in Oceania, South Asia, and Southeast Asia, and the BVL burden due to HFPG was higher in the elderly and lower SDI regions. From 1990 to 2019, the global ASR of HFPG-attributable BVL gradually increased with AAPC (95% CI) being 0.80 (0.74 to 0.86). In addition, the HFPG-attributable BVL burden will slightly increase in the future decade. CONCLUSIONS The HFPG remains the important cause of BVL worldwide, placing a substantial disease burden. From 1990 to 2019, the age-standardized burden of BVL due to HFPG increased, and will consistently increase in the future decade, particularly in the elderly and in regions with middle SDI or below.
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Affiliation(s)
- Cong Li
- Department of Ophthalmology, Guangdong Eye Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
- School of Medicine South China University of Technology, Guangzhou, China
| | - Guangyao Hua
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Shunming Liu
- Department of Ophthalmology, Guangdong Eye Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Honghua Yu
- Department of Ophthalmology, Guangdong Eye Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
- Guangdong Provincial Key Laboratory of Artificial Intelligence in Medical Image Analysis and Application, Guangzhou, China
| | - Xiaohong Yang
- Department of Ophthalmology, Guangdong Eye Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Lei Liu
- Department of Ophthalmology, Guangdong Eye Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
- Department of Neurosurgery, Jincheng People's Hospital, Jincheng, Shanxi, China
- Department of Ophthalmology, The Third People's Hospital of Dalian, Non-Directly Affiliated Hospital of Dalian Medical University, Dalian, China
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10
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Xu Y, Liang J, Zhuo Y, Liu L, Xiao Y, Zhou L. TDASD: Generating medically significant fine-grained lung adenocarcinoma nodule CT images based on stable diffusion models with limited sample size. Comput Methods Programs Biomed 2024; 248:108103. [PMID: 38484410 DOI: 10.1016/j.cmpb.2024.108103] [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: 10/29/2023] [Revised: 01/06/2024] [Accepted: 02/26/2024] [Indexed: 04/02/2024]
Abstract
BACKGROUND AND OBJECTIVES Spread through air spaces (STAS) is an emerging lung cancer infiltration pattern. Predicting its spread through CT scans is crucial. However, limited STAS data makes this prediction task highly challenging. Stable diffusion is capable of generating more diverse and higher-quality images compared to traditional GAN models, surpassing the dominating GAN family models in image synthesis over the past few years. To alleviate the issue of limited STAS data, we propose a method TDASD based on stable diffusion, which is able to generate high-resolution CT images of pulmonary nodules corresponding to specific nodular signs according to the medical professionals. METHODS First, we apply the stable diffusion method for fine-tuning training on publicly available lung datasets. Subsequently, we extract nodules from our hospital's lung adenocarcinoma data and apply slight rotations to the original nodule CT slices within a reasonable range before undergoing another round of fine-tuning through stable diffusion. Finally, employing DDIM and Ksample sampling methods, we generate lung adenocarcinoma nodule CT images with signs based on prompts provided by doctors. The method we propose not only safeguards patient privacy but also enhances the diversity of medical images under limited data conditions. Furthermore, our approach to generating medical images incorporates medical knowledge, resulting in images that exhibit pertinent medical features, thus holding significant value in tumor discrimination diagnostics. RESULTS Our TDASD method has the capability to generate medically meaningful images by optimizing input prompts based on medical descriptions provided by experts. The images generated by our method can improve the model's classification accuracy. Furthermore, Utilizing solely the data generated by our method for model training, the test results on the original real dataset reveal an accuracy rate that closely aligns with the testing accuracy achieved through training on real data. CONCLUSIONS The method we propose not only safeguards patient privacy but also enhances the diversity of medical images under limited data conditions. Furthermore, our approach to generating medical images incorporates medical knowledge, resulting in images that exhibit pertinent medical features, thus holding significant value in tumor discrimination diagnostics.
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Affiliation(s)
- Yidan Xu
- Institutes of Biomedical Sciences, Fudan University, 138 Yi xue yuan Road, Shanghai, 200032, China.
| | - Jiaqing Liang
- School of Data Science, Fudan University, 220 Handan Road, Shanghai, 200433, China.
| | - Yaoyao Zhuo
- Department of Radiology, Zhongshan Hospital, Fudan University, 180 Fenglin Road, Shanghai, 200032, China; Shanghai Institute of Medical Imaging, 180 Fenglin Road, Shanghai, 200032, China.
| | - Lei Liu
- Institutes of Biomedical Sciences, Fudan University, 138 Yi xue yuan Road, Shanghai, 200032, China; Intelligent Medicine Institute, Fudan University, 131 Dongan Road, Shanghai, 200032, China; Shanghai Institute of Stem Cell Research and Clinical Translation, Shanghai, 200120, China.
| | - Yanghua Xiao
- School of Computer Science, Fudan University, 2005 Songhu Road, Shanghai, 200438, China; Shanghai Key Laboratory of Data Science, Fudan University, 2005 Songhu Road, Shanghai, 200438, China.
| | - Lingxiao Zhou
- Institute of Microscale Optoelectronics, Shenzhen University, 3688 Nanhai Avenue, Shenzhen, 518000, China.
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Zhang Z, Liu H, Shi Y, Yang Q, Zheng T, Luo F, Liu L. Self-management in patients with adult spinal deformity: a best practice implementation project. JBI Evid Implement 2024:02205615-990000000-00092. [PMID: 38651317 DOI: 10.1097/xeb.0000000000000421] [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: 04/25/2024]
Abstract
INTRODUCTION The prevalence of adult spinal deformity (ASD) has increased in recent years. Patients often have to live for a prolonged period from the onset of the condition, up until the need for surgical treatment. Self-management plays a crucial role in disease progression and prognosis. OBJECTIVES This project aimed to promote evidence-based practices for the self-management of patients with ASD. METHODS This project was guided by the JBI Evidence Implementation Framework project and was conducted in the orthopedic department of a tertiary care hospital in China. A baseline audit was conducted to evaluate current practice against best practice recommendations. Barriers were identified and, after the implementation of improvement strategies, a follow-up audit was conducted to assess project effectiveness. RESULTS A comparison between the baseline and follow-up audits revealed a significant increase in nurses' compliance with best practices (rising from 0%-64% to 97.7%-100%) in the following areas: improved health promotion behaviors by nurses in self-management of ASD patients; acquisition and application of communication skills with patients; increased availability of educational materials in the ward; and establishment of conservative treatment follow-up instructions for patients. For patients, the Visual Analog Scale of pain decreased from (2.72 ± 1.67) to (1.90 ± 1.14), the Oswestry Disability Index decreased from (49.96 ± 16.49) to (39.83 ± 18.97), self-management behaviors improved from (10.84 ± 4.31) to (19.52 ± 6.31), and maximum isometric muscle strength in the standing position increased from (179.48 ± 91.18)N to (250.03 ± 91.50)N, all with statistically significant improvements (p <0.05). For nurses, the knowledge questionnaire score improved from (34.83 ± 24.16) to (82.00 ± 11.11) (p <0.05). CONCLUSIONS This project helped ASD patients improve self-management, alleviated their clinical symptoms, and improved nurses' knowledge of best practices. Future audits will be conducted to review long-term project outcomes. SPANISH ABSTRACT http://links.lww.com/IJEBH/A193.
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Affiliation(s)
- Zhao Zhang
- Department of Nursing, The First Affiliated Hospital of the Army Medical University, Chongqing, China
- Department of Orthopaedics, People's Liberation Army Western Theater Command General Hospital, Chengdu, China
| | - Huaxi Liu
- Department of Nursing, The First Affiliated Hospital of the Army Medical University, Chongqing, China
| | - Yiqin Shi
- Department of Nursing, The First Affiliated Hospital of the Army Medical University, Chongqing, China
| | - Qiankun Yang
- Department of Orthopaedics, The First Affiliated Hospital of the Army Medical University, Chongqing, China
| | - Tingting Zheng
- Department of Orthopaedics, The First Affiliated Hospital of the Army Medical University, Chongqing, China
| | - Fei Luo
- Department of Orthopaedics, The First Affiliated Hospital of the Army Medical University, Chongqing, China
| | - Lei Liu
- Department of Nursing, The First Affiliated Hospital of the Army Medical University, Chongqing, China
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Liu L, Wang W, Huang L, Xian Y, Ma W, Zhao L, Li Y, Zheng Z, Liu H, Wu D. Injectable Inflammation-Responsive Hydrogels for Microenvironmental Regulation of Intervertebral Disc Degeneration. Adv Healthc Mater 2024:e2400717. [PMID: 38649143 DOI: 10.1002/adhm.202400717] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2024] [Revised: 04/19/2024] [Indexed: 04/25/2024]
Abstract
Chronic local inflammation and excessive cell apoptosis in nucleus pulposus (NP) tissue are the main causes of intervertebral disc degeneration (IDD). Stimuli-responsive hydrogels have great potential in the treatment of IDD by facilitating localized and controlled drug delivery. Herein, we develop an injectable drug-loaded dual stimuli-responsive adhesive hydrogel for microenvironmental regulation of IDD. The gelatin methacryloyl is functionalized with phenylboronic acid groups to enhance drug loading capacity and enable dual stimuli-responsive behavior, while the incorporation of oxidized hyaluronic acid further improves the adhesive properties. The prepared hydrogel exhibits an enhanced drug loading capacity for diol-containing drugs, pH- and reactive oxygen species (ROS)-responsive behaviors, excellent radical scavenging efficiency, potent antibacterial activity, and favorable biocompatibility. Furthermore, the hydrogel shows a beneficial protective efficacy on NP cells within an in vitro oxidative stress microenvironment. The in vivo results demonstrate the hydrogel's excellent therapeutic effect on treating IDD by maintaining water retention, restoring disc height, and promoting NP regeneration, indicating that this hydrogel holds great potential as a promising therapeutic approach for regulating the microenvironment and alleviating the progression of IDD. This article is protected by copyright. All rights reserved.
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Affiliation(s)
- Lei Liu
- Guangdong Provincial Key Laboratory of Advanced Biomaterials, Department of Biomedical Engineering, Southern University of Science and Technology, Shenzhen, 518055, China
| | - Wantao Wang
- Guangdong Provincial Key Laboratory of Advanced Biomaterials, Department of Biomedical Engineering, Southern University of Science and Technology, Shenzhen, 518055, China
- Department of Spine Surgery, The First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, 510080, China
- Pain Research Center, Sun Yat-Sen University, Guangzhou, 510080, China
| | - Lin Huang
- Guangdong Provincial Key Laboratory of Advanced Biomaterials, Department of Biomedical Engineering, Southern University of Science and Technology, Shenzhen, 518055, China
| | - Yiwen Xian
- Guangdong Provincial Key Laboratory of Advanced Biomaterials, Department of Biomedical Engineering, Southern University of Science and Technology, Shenzhen, 518055, China
| | - Wenzheng Ma
- Guangdong Provincial Key Laboratory of Advanced Biomaterials, Department of Biomedical Engineering, Southern University of Science and Technology, Shenzhen, 518055, China
- Department of Spine Surgery, The First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, 510080, China
- Pain Research Center, Sun Yat-Sen University, Guangzhou, 510080, China
| | - Lei Zhao
- Guangdong Provincial Key Laboratory of Advanced Biomaterials, Department of Biomedical Engineering, Southern University of Science and Technology, Shenzhen, 518055, China
| | - Yixi Li
- Guangdong Provincial Key Laboratory of Advanced Biomaterials, Department of Biomedical Engineering, Southern University of Science and Technology, Shenzhen, 518055, China
| | - Zhaomin Zheng
- Department of Spine Surgery, The First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, 510080, China
- Pain Research Center, Sun Yat-Sen University, Guangzhou, 510080, China
| | - Hongmei Liu
- Guangdong Provincial Key Laboratory of Advanced Biomaterials, Department of Biomedical Engineering, Southern University of Science and Technology, Shenzhen, 518055, China
| | - Decheng Wu
- Guangdong Provincial Key Laboratory of Advanced Biomaterials, Department of Biomedical Engineering, Southern University of Science and Technology, Shenzhen, 518055, China
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Li F, Liu L, Feng Q, Wang X, Liu F, Yang L, Miao L, Wang W, Ji G, Yu C. Prognostic and predictive value of tumor deposits in advanced signet ring cell colorectal cancer: SEER database analysis and multicenter validation. World J Surg Oncol 2024; 22:107. [PMID: 38644507 DOI: 10.1186/s12957-024-03362-0] [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: 01/31/2024] [Accepted: 03/11/2024] [Indexed: 04/23/2024] Open
Abstract
BACKGROUND Colorectal signet-ring cell carcinoma (SRCC) is a rare cancer with a bleak prognosis. The relationship between its clinicopathological features and survival remains incompletely elucidated. Tumor deposits (TD) have been utilized to guide the N staging in the 8th edition of American Joint Committee on Cancer (AJCC) staging manual, but their prognostic significance remains to be established in colorectal SRCC. PATIENTS AND METHODS The subjects of this study were patients with stage III/IV colorectal SRCC who underwent surgical treatment. The research comprised two cohorts: a training cohort and a validation cohort. The training cohort consisted of 631 qualified patients from the SEER database, while the validation cohort included 135 eligible patients from four independent hospitals in China. The study assessed the impact of TD on Cancer-Specific Survival (CSS) and Overall Survival (OS) using Kaplan-Meier survival curves and Cox regression models. Additionally, a prognostic nomogram model was constructed for further evaluation. RESULTS In both cohorts, TD-positive patients were typically in the stage IV and exhibited the presence of perineural invasion (PNI) (P < 0.05). Compared to the TD-negative group, the TD-positive group showed significantly poorer CSS (the training cohort: HR, 1.87; 95% CI, 1.52-2.31; the validation cohort: HR, 2.43; 95% CI, 1.55-3.81; all P values < 0.001). This association was significant in stage III but not in stage IV. In the multivariate model, after adjusting for covariates, TD maintained an independent prognostic value (P < 0.05). A nomogram model including TD, N stage, T stage, TNM stage, CEA, and chemotherapy was constructed. Through internal and external validation, the model demonstrated good calibration and accuracy. Further survival curve analysis based on individual scores from the model showed good discrimination. CONCLUSION TD positivity is an independent factor of poor prognosis in colorectal SRCC patients, and it is more effective to predict the prognosis of colorectal SRCC by building a model with TD and other clinically related variables.
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Affiliation(s)
- Fuchao Li
- Department of Gastroenterology, Nanjing Drum Tower Hospital Clinical College of Nanjing Medical University, Nanjing, 210008, China
- Department of Geriatrics, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, 210000, China
| | - Lei Liu
- Medical Centre for Digestive Diseases, The Second Affiliated Hospital of Nanjing Medical University, 121 Jiangjiayuan Road, Nanjing, 210046, China
- Department of Gastroenterology, The Affiliated Yixing Hospital of Jiangsu University, Yixing, Jiangsu, 214200, China
| | - Qingzhao Feng
- Department of General Surgery, Nanjing Drum Tower Hospital Clinical College of Nanjing Medical University, Nanjing, 210008, China
| | - Xiaohong Wang
- Department of Gastroenterology, Xuzhou Central Hospital, Xuzhou, Jiangsu Province, 221009, China
| | - Fang Liu
- Department of Gastroenterology, Xuzhou Central Hospital, Xuzhou, Jiangsu Province, 221009, China
| | - Li Yang
- Department of Geriatrics, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, 210000, China
| | - Lin Miao
- Medical Centre for Digestive Diseases, The Second Affiliated Hospital of Nanjing Medical University, 121 Jiangjiayuan Road, Nanjing, 210046, China.
| | - Weiming Wang
- Department of Oncology, Yixing Hospital Affiliated to Medical College of Yangzhou University, Yixing, Jiangsu Province, 214200, China.
| | - Guozhong Ji
- Medical Centre for Digestive Diseases, The Second Affiliated Hospital of Nanjing Medical University, 121 Jiangjiayuan Road, Nanjing, 210046, China.
| | - Chenggong Yu
- Department of Gastroenterology, Nanjing Drum Tower Hospital Clinical College of Nanjing Medical University, Nanjing, 210008, China.
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Zhang Y, Liu L, Duan X, Pi H, Jiang L, Li J, Wang G, Shu X. Longitudinal study of patients with anti-SAE antibody positive dermatomyositis: a multicenter cohort study in China. Rheumatology (Oxford) 2024:keae232. [PMID: 38648758 DOI: 10.1093/rheumatology/keae232] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2023] [Revised: 03/14/2024] [Accepted: 03/26/2024] [Indexed: 04/25/2024] Open
Abstract
OBJECTIVES To describe the longitudinal study and long-term prognosis of multicentre large inception cohort of patients with anti-SAE positive DM. METHODS We retrospectively recruited patients with anti-SAE+DM in four tertiary referral centers from China between March 2005 and December 2022. Long-term survival analysis was performed in the enrolled patients. The Myositis Damage Index (MDI) and Cutaneous Disease Area and Severity Index (CDASI) were used to evaluate the degree of different organ damage and the extent of skin rashes. Longitudinal computed tomographic (CT) patterns were analyzed. Phenotypes were characterized using unsupervised cluster analysis. RESULTS All-cause death occurred in 10.5% (4/38) of all patients, in which three patients succumbed to malignancies at 13, 18, and 36 months. Most patients had favorable long-term outcomes, 35.3% of them were in drug-free remission. Skin rashes showed significant improvement evaluated by CDASI with time. However, damage to different systems was observed in 70.6% of the surviving patients using the MDI, which mainly consisted in skin damage, accounting for 47.1%. Nine patients with anti-SAE+DM associated interstitial lung disease (ILD) underwent repeat CT showed marked radiological improvement at 6 months or being stable after 12 months. In further, different characteristics and outcomes were also showed in three clusters identified by unsupervised analysis. CONCLUSIONS Anti-SAE+DM is characterized with lower mortality rate and the development of malignancies being the primary cause of death. Patients who survived showed notable cutaneous damage, while the ILD tends to stabilize. Clusters identified with unsupervised analysis could assist physicians in identifying higher risk of mortality.
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Affiliation(s)
- Yingfang Zhang
- Peking University China-Japan Friendship School of Clinical Medicine, Beijing, China
- Department of Rheumatology, Key Lab of Myositis, China-Japan Friendship Hospital, Beijing, China
| | - Lei Liu
- Department of Rheumatology, the Second Affiliated Hospital of Zhejiang University, School of Medicine, Zhejiang, China
| | - Xinwang Duan
- Department of Rheumatology and Immunology, the Second Affiliated Hospital of Nanchang University, Jiangxi, China
| | - Hui Pi
- Department of Rheumatology, Jiangxi Provincial People's Hospital, the First Affiliated Hospital of Nanchang Medical College, Jiangxi, China
| | - Lili Jiang
- Department of Rheumatology, Jiangxi Provincial People's Hospital, the First Affiliated Hospital of Nanchang Medical College, Jiangxi, China
| | - Jiang Li
- Department of Laboratory Medicine, China-Japan Friendship Hospital, Beijing, China
| | - Guochun Wang
- Peking University China-Japan Friendship School of Clinical Medicine, Beijing, China
- Department of Rheumatology, Key Lab of Myositis, China-Japan Friendship Hospital, Beijing, China
- Beijing Key Lab for Immune-Mediated Inflammatory Diseases, China-Japan Friendship Hospital, Beijing, China
| | - Xiaoming Shu
- Peking University China-Japan Friendship School of Clinical Medicine, Beijing, China
- Department of Rheumatology, Key Lab of Myositis, China-Japan Friendship Hospital, Beijing, China
- Beijing Key Lab for Immune-Mediated Inflammatory Diseases, China-Japan Friendship Hospital, Beijing, China
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15
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Liu L, Gao Z, Li H, Yang W, Yang Y, Lin J, Wang Z, Liu J. Thresholds of Nitrogen and Phosphorus Input Substantially Alter Arbuscular Mycorrhizal Fungal Communities and Wheat Yield in Dryland Farmland. J Agric Food Chem 2024. [PMID: 38647353 DOI: 10.1021/acs.jafc.4c00073] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/25/2024]
Abstract
Arbuscular mycorrhizal (AM) fungi are essential for preserving the multifunctionality of ecosystems. The nitrogen (N)/phosphorus (P) threshold that causes notable variations in the AM fungus community of the soil and plant productivity is still unclear. Herein, a long-term (18 years) field experiment with five N and five P fertilizer levels was conducted to investigate the change patterns of soil AM fungus, multifunctionality, and wheat yield. High-N and -P fertilizer inputs did not considerably increase the wheat yield. In the AM fungal network, a statistically significant positive correlation was observed between ecosystem multifunctionality and the biodiversity of two primary ecological clusters (N: Module #0 and P: Module #3). Furthermore, fertilizer input thresholds for N (92-160 kg ha-1) and P (78-100 kg ha-1) significantly altered the AM fungal community, soil characteristics, and plant productivity. Our study provided a basis for reduced N and P fertilizer application and sustainable agricultural development from the aspect of soil AM fungi.
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Affiliation(s)
- Lei Liu
- Key Laboratory of Plant Nutrition and Agro-environment in Northwest China, Ministry of Agriculture and Rural Affairs/College of Natural Resources and Environment, Northwest A&F University, Yangling, Shaanxi 712100, China
| | - Zhiyuan Gao
- Key Laboratory of Plant Nutrition and Agro-environment in Northwest China, Ministry of Agriculture and Rural Affairs/College of Natural Resources and Environment, Northwest A&F University, Yangling, Shaanxi 712100, China
| | - Haifeng Li
- Key Laboratory of Plant Nutrition and Agro-environment in Northwest China, Ministry of Agriculture and Rural Affairs/College of Natural Resources and Environment, Northwest A&F University, Yangling, Shaanxi 712100, China
| | - Wenjie Yang
- Key Laboratory of Plant Nutrition and Agro-environment in Northwest China, Ministry of Agriculture and Rural Affairs/College of Natural Resources and Environment, Northwest A&F University, Yangling, Shaanxi 712100, China
| | - Yu Yang
- Key Laboratory of Plant Nutrition and Agro-environment in Northwest China, Ministry of Agriculture and Rural Affairs/College of Natural Resources and Environment, Northwest A&F University, Yangling, Shaanxi 712100, China
| | - Jiangyun Lin
- Key Laboratory of Plant Nutrition and Agro-environment in Northwest China, Ministry of Agriculture and Rural Affairs/College of Natural Resources and Environment, Northwest A&F University, Yangling, Shaanxi 712100, China
| | - Zhaohui Wang
- Key Laboratory of Plant Nutrition and Agro-environment in Northwest China, Ministry of Agriculture and Rural Affairs/College of Natural Resources and Environment, Northwest A&F University, Yangling, Shaanxi 712100, China
| | - Jinshan Liu
- Key Laboratory of Plant Nutrition and Agro-environment in Northwest China, Ministry of Agriculture and Rural Affairs/College of Natural Resources and Environment, Northwest A&F University, Yangling, Shaanxi 712100, China
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Guo H, Li Q, Zhang Z, Feng A, Qin S, Liu L, Sun R, Wang X. Better clinical outcomes and return to sport rates with additional medial meniscus root tear repair in high tibial osteotomy for medial compartmental knee osteoarthritis. Knee Surg Sports Traumatol Arthrosc 2024. [PMID: 38643405 DOI: 10.1002/ksa.12180] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/23/2023] [Revised: 12/31/2023] [Accepted: 01/03/2024] [Indexed: 04/22/2024]
Abstract
PURPOSE This retrospective study aimed to investigate whether the repair of medial meniscus posterior root tears (MMPRTs) is effective for improving clinical outcomes and return to sports rates in young patients (50 years old or younger) with medial compartment knee osteoarthritis (KOA) and MMPRTs. METHODS Between 2016 and 2019, 153 patients with KOA and MMPRTs who underwent open-wedge high tibial osteotomy (OWHTO) were retrospectively included. The patients were divided into OWHTO combined with MMPRT repair (n = 73) and isolated OWHTO (n = 80) groups. Lysholm scores, Hospital for Special Surgery (HHS) scores, Tegner scores, flexion contracture, range of knee flexion, return to sports rates and postoperative complications were compared. Radiological outcomes, including hip-knee-ankle angle (HKA), medial proximal tibial angle (MPTA), joint line convergence angle (JLCA) and Kellgren-Lawrence (K-L) grade, were compared between the two groups. RESULTS After a mean follow-up of 30.1 ± 3.0 months, the OWHTO + Repair group observed better clinical outcomes compared with the OWHTO group (Lysholm score: 86.7 ± 7.4 vs. 81.6 ± 6.9, p = 0.023. HHS score: 85.4 ± 8.20 vs. 80.5 ± 7.1, p = 0.039). The OWHTO + Repair group had higher Tegner scores and return to sports rates than the OWHTO group (Tegner score: 6 vs. 5, p = 0.020; return to sports rates: 38% vs. 15%, p = 0.001). No fracture or major complications occurred. Radiological outcomes showed no significant differences between the two groups (HKA: 181.1 ± 2.7 vs. 180.1 ± 1.5 n.s; MPTA: 90.1 ± 1.8 vs. 89.2 ± 1.4, n.s; JLCA:1.9 ± 0.7 vs. 2.1 ± 0.7, n.s). CONCLUSIONS Additional MMPRT repair during OWHTO was associated with better clinical outcomes and higher rates of return to sports in young patients with medial compartment KOA and MMPRTs. LEVEL OF EVIDENCE Level III.
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Affiliation(s)
- Hailong Guo
- Department of Orthopaedic Surgery, Hebei Medical University Third Hospital, Shijiazhuang, Hebei, China
| | - Qingyu Li
- Department of Orthopaedic Surgery, Hebei Medical University Third Hospital, Shijiazhuang, Hebei, China
| | - Zirui Zhang
- Department of Orthopaedic Surgery, Hebei Medical University Third Hospital, Shijiazhuang, Hebei, China
| | - Ao Feng
- Department of Orthopaedic Surgery, Hebei Medical University Third Hospital, Shijiazhuang, Hebei, China
| | - Shiqi Qin
- Department of Orthopaedic Surgery, Hebei Medical University Third Hospital, Shijiazhuang, Hebei, China
| | - Lei Liu
- Department of Orthopaedic Surgery, Hebei Medical University Third Hospital, Shijiazhuang, Hebei, China
| | - Ran Sun
- Department of Orthopaedic Surgery, Hebei Medical University Third Hospital, Shijiazhuang, Hebei, China
| | - Xiaofeng Wang
- Department of Orthopaedic Surgery, Hebei Medical University Third Hospital, Shijiazhuang, Hebei, China
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Luan F, Wang J, Liu L, Liu B, Li F, Zhao J, Lai J, Jiang F, Xu W, Zhang Z, Ran P, Shu Y, Yang Z, Fu G. Serum iron element: A novel biomarker for predicting PD-1 immunotherapy efficacy. Int Immunopharmacol 2024; 131:111823. [PMID: 38508094 DOI: 10.1016/j.intimp.2024.111823] [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: 01/03/2024] [Revised: 02/26/2024] [Accepted: 03/05/2024] [Indexed: 03/22/2024]
Abstract
This study aims to explore the relationship between serum iron by inductively coupled plasma-mass spectrometry (ICP-MS) and the efficacy of immune checkpoint inhibitors (ICIs) and potential mechanism. Totally 113 patients from 233 patients with advanced metastatic lung cancer, esophageal cancer, gastric cancer and colorectal cancer who treated with immunotherapy in Shandong Provincial Hospital were divided into training group (n=68) and validation group (n=45), whose patients were divided into clinical benefit response (CBR) and non-clinical benefit (NCB) by RECIST (v1.1) respectively. We found for the first time that high serum iron level (>1036 μg/L) was a novel biomarker of better PFS (10.13 months vs 7.37 months; p = 0.0015) and OS(16.00 months vs 11.00 months; p = 0.0235) by ROC curve (sensitivity: 78.13 %; Specificity: 80.56 %; p < 0.0001) of CBR (n=32) and NCB (n=36) patients in training group. Interestingly, consistently stable and high serum iron level predicted better efficacy during immunotherapy. Noteworthy, the predictive efficacy of PD-L1 expression was significantly inferior than serum iron (accuracy:63.49% vs 79.41%, p=0.0432), while serum iron detected by spectrophotometry did not predict the efficacy of immunotherapy (p=0.0671) indicating higher sensitivity of ICP-MS. Bioinformatics analysis showed that serum iron could enhance innate immunity and cytokine release and was verified by proteomics that KEGG and GO analysis enriched innate immune and cytokine signaling pathways. Flow cytometry showed that IL-17 (p=0.0002) increased and IL-6 (p=0.0112) decreased after immunotherapy. Based on this, Nomogram with better prediction was constructed by multiple clinical and independent factors. Our results revealed that serum iron is positively associated with ICIs efficacy by enhancing innate immunity and cytokine release in advanced metastatic cancers, and can be a biomarker for predicting ICIs response.
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Affiliation(s)
- Fang Luan
- Department of Clinical Laboratory, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong 250021, China
| | - Jingliang Wang
- The Second Clinical Medical College, Shandong University of Traditional Chinese Medicine, Jinan 250002, China; Department of Oncology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong 250021, China
| | - Lei Liu
- Department of Oncology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong 250021, China; Department of Oncology, Jinan People's Hospital Affiliated to Shandong First Medical University, Jinan, Shandong 250102, China
| | - Bin Liu
- Department of Biomedical Engineering, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong 250021, China
| | - Fuxia Li
- Department of Oncology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong 250021, China
| | - Jing Zhao
- Department of Oncology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong 250021, China
| | - Jingjiang Lai
- Innovative Institute of Chinese Medicine, Shandong University of Traditional Chinese 24 Medicine, Jinan 250002, China
| | - Fengxian Jiang
- The Second Clinical Medical College, Shandong University of Traditional Chinese Medicine, Jinan 250002, China; Department of Oncology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong 250021, China
| | - Wei Xu
- Department of Oncology, Shandong Provincial Hospital, Shandong University, Jinan, Shandong 250012, China
| | - Zhizhao Zhang
- Department of Oncology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong 250021, China
| | - Pancen Ran
- The Second Clinical Medical College, Shandong University of Traditional Chinese Medicine, Jinan 250002, China; Department of Oncology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong 250021, China
| | - Yang Shu
- The Second Clinical Medical College, Shandong University of Traditional Chinese Medicine, Jinan 250002, China; Department of Oncology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong 250021, China
| | - Zhe Yang
- Department of Oncology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong 250021, China
| | - Guobin Fu
- The Second Clinical Medical College, Shandong University of Traditional Chinese Medicine, Jinan 250002, China; Department of Oncology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong 250021, China; The Third Affiliated Hospital of Shandong First Medical University, Jinan 250031, China.
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18
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Li Q, Li B, Xi S, Li Z, Zhu Z, Jin Z, Yang F, Liu L. Correction: Experience with aortic arch inclusion technique using artificial blood vessel for type A aortic dissection: an application study. J Cardiothorac Surg 2024; 19:257. [PMID: 38643151 PMCID: PMC11031925 DOI: 10.1186/s13019-024-02774-z] [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] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/22/2024] Open
Affiliation(s)
- Qingfeng Li
- Department of Carvascular Surgery, Hebei Medical University Third Hospital, Shijiazhuang, Hebei Province, China
| | - Bin Li
- Department of Carvascular Surgery, Hebei Medical University Third Hospital, Shijiazhuang, Hebei Province, China
| | - Shuqiang Xi
- Department of Carvascular Surgery, Hebei Medical University Third Hospital, Shijiazhuang, Hebei Province, China
| | - Zhaobin Li
- Department of Carvascular Surgery, Hebei Medical University Third Hospital, Shijiazhuang, Hebei Province, China
| | - Zhe Zhu
- Department of Carvascular Surgery, Hebei Medical University Third Hospital, Shijiazhuang, Hebei Province, China
| | - Zeyue Jin
- Department of Carvascular Surgery, Hebei Medical University Third Hospital, Shijiazhuang, Hebei Province, China
| | - Fan Yang
- Department of Carvascular Surgery, Hebei Medical University Third Hospital, Shijiazhuang, Hebei Province, China
| | - Lei Liu
- Department of Carvascular Surgery, Hebei Medical University Third Hospital, Shijiazhuang, Hebei Province, China.
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19
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Li H, Li B, Luo W, Qi X, Hao Y, Yang C, Li W, Li J, Hua Z, Guo T, Zheng Z, Yu X, Liu L, Zhao J, Li T, Huang D, Hu J, Li Z, Wang F, Li H, Ma C, Ji F. Regulation of interstitial fluid flow in adventitia along vasculature by heartbeat and respiration. iScience 2024; 27:109407. [PMID: 38532885 PMCID: PMC10963235 DOI: 10.1016/j.isci.2024.109407] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2023] [Revised: 01/29/2024] [Accepted: 02/29/2024] [Indexed: 03/28/2024] Open
Abstract
Converging studies showed interstitial fluid (ISF) adjacent to blood vessels flows in adventitia along vasculature into heart and lungs. We aim to reveal circulatory pathways and regulatory mechanism of such adventitial ISF flow in rat model. By MRI, real-time fluorescent imaging, micro-CT, and histological analysis, ISF was found to flow in adventitial matrix surrounded by fascia and along systemic vessels into heart, then flow into lungs via pulmonary arteries and back to heart via pulmonary veins, which was neither perivascular tissues nor blood or lymphatic vessels. Under physiological conditions, speckle-like adventitial ISF flow rate was positively correlated with heart rate, increased when holding breath, became pulsative during heavy breathing. During cardiac or respiratory cycle, each dilation or contraction of heart or lungs can generate to-and-fro adventitial ISF flow along femoral veins. Discovered regulatory mechanisms of adventitial ISF flow along vasculature by heart and lungs will revolutionize understanding of cardiovascular system.
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Affiliation(s)
- Hongyi Li
- Research Center for Interstitial Fluid Circulation, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing 100730, P.R. China
- Department of Geriatrics, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing 100730, P.R. China
| | - Bei Li
- Research Center for Interstitial Fluid Circulation, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing 100730, P.R. China
| | - Wenqi Luo
- Department of Cardiac Surgery, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing 100730, P.R. China
| | - Xi Qi
- Peking University Fifth School of Clinical Medicine, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing 100730, P.R. China
| | - You Hao
- Institute of Computing Technology, Chinese Academy of Sciences, Beijing 100190, P.R. China
| | - Chaozhi Yang
- School of Computer Science and Technology, China University of Petroleum (East China), Qingdao 266580, P.R. China
| | - Wenqing Li
- Research Center for Interstitial Fluid Circulation, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing 100730, P.R. China
| | - Jiazheng Li
- Department of Anesthesiology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing 100730, P.R. China
| | - Zhen Hua
- Department of Anesthesiology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing 100730, P.R. China
| | - Tan Guo
- Department of Radiology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing 100730, P.R. China
| | - Zhijian Zheng
- Department of Acupuncture, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing 100730, P.R. China
| | - Xue Yu
- Department of Cardiology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing 100730, P.R. China
| | - Lei Liu
- Department of Pharmacy, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing 100730, P.R. China
| | - Jianping Zhao
- Department of Cardiology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing 100730, P.R. China
| | - Tiantian Li
- Department of Cardiology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing 100730, P.R. China
| | - Dahai Huang
- Department of Geriatrics, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing 100730, P.R. China
| | - Jun Hu
- Key Lab of Interfacial Physics and Technology, Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai 201210, P.R. China
- Shanghai Synchrotron Radiation Facility, Shanghai Advanced Research Institute, Chinese Academy of Sciences, Shanghai 201210, P.R. China
| | - Zongmin Li
- School of Computer Science and Technology, China University of Petroleum (East China), Qingdao 266580, P.R. China
| | - Fang Wang
- Department of Cardiology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing 100730, P.R. China
| | - Hua Li
- Institute of Computing Technology, Chinese Academy of Sciences, Beijing 100190, P.R. China
| | - Chao Ma
- Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, Department of Human Anatomy, Histology and Embryology, School of Basic Medicine, Peking Union Medical College, Beijing 100005, P.R. China
- Chinese Institute for Brain Research, Beijing 100005, P.R. China
| | - Fusui Ji
- Department of Cardiology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing 100730, P.R. China
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20
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Zhuang F, Huang S, Liu L. PYCR3 Modulates mtDNA Copy Number to Drive Proliferation and Doxorubicin Resistance in Triple-Negative Breast Cancer. Int J Biochem Cell Biol 2024:106581. [PMID: 38642827 DOI: 10.1016/j.biocel.2024.106581] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2024] [Revised: 04/11/2024] [Accepted: 04/15/2024] [Indexed: 04/22/2024]
Abstract
Triple-negative breast cancer (TNBC) poses significant challenges in treatment due to its aggressive nature and limited therapeutic targets. Understanding the underlying molecular mechanisms driving TNBC progression and chemotherapy resistance is imperative for developing effective therapeutic strategies. Thus, in this study, we aimed to elucidate the role of pyrroline-5-carboxylate reductase 3 (PYCR3) in TNBC pathogenesis and therapeutic response. We observed that PYCR3 is significantly upregulated in TNBC specimens compared to normal breast tissues, correlating with a poorer prognosis in TNBC patients. Knockdown of PYCR3 not only suppresses TNBC cell proliferation but also reverses acquired resistance of TNBC cells to doxorubicin, a commonly used chemotherapeutic agent. Mechanistically, we identified the mitochondrial localization of PYCR3 in TNBC cells and demonstrated its impact on TNBC cell proliferation and sensitivity to doxorubicin through the regulation of mtDNA copy number and mitochondrial respiration. Importantly, Selective reduction of mtDNA copy number using the mtDNA replication inhibitor 2', 3'-dideoxycytidine effectively recapitulates the phenotypic effects observed in PYCR3 knockout, resulting in decreased TNBC cell proliferation and the reversal of doxorubicin resistance through apoptosis induction. Thus, our study underscores the clinical relevance of PYCR3 and highlight its potential as a therapeutic target in TNBC management. By elucidating the functional significance of PYCR3 in TNBC, our findings contribute to a deeper understanding of TNBC biology and provide a foundation for developing novel therapeutic strategies aimed at improving patient outcomes.
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Affiliation(s)
- Feifei Zhuang
- Department of Medical Oncology, Yantaishan Hospital, Yantai, Shandong Province, China
| | - Shaoyan Huang
- Department of Medical Oncology, Yantaishan Hospital, Yantai, Shandong Province, China
| | - Lei Liu
- Department of Medical Oncology, Yantaishan Hospital, Yantai, Shandong Province, China.
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21
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Shen L, Wu H, Cao Z, Zhang X, Liu L, Sawwan H, Zhu T, Zheng J, Wang H, Gong X. Two-Dimensional Metal Halide Perovskites Created by Binary Conjugated Organic Cations for High-Performance Perovskite Photovoltaics. ACS Appl Mater Interfaces 2024; 16:19318-19329. [PMID: 38577894 DOI: 10.1021/acsami.4c00288] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/06/2024]
Abstract
Studies indicated that two-dimensional (2D) metal halide perovskites (MHPs) embodied with three-dimensional (3D) MHPs were a facile way to realize efficient and stable perovskite solar cells (PSCs) and perovskite photodetectors (PPDs). Here, high-performance PSCs and PPDs, which are based on 2D/3D MHPs bilayer thin films, where the 2D MHPs are created by binary conjugated organic cations, are reported. Systemically studies reveal that the above novel 2D/3D MHPs bilayer thin films possess an enlarged crystal size, balanced charge transport, reduced charge carrier recombination, smaller charge-transfer resistance, and accelerated charge-extraction process compared to the 2D/3D MHPs bilayer thin films, where the 2D MHPs are created by a single conjugated organic cation. As a result, the PSCs based on the above novel 2D/3D MHPs bilayer thin film exhibit a power conversion efficiency of 22.76%. Moreover, unencapsulated PSCs possess dramatically enhanced stability compared with those based on the 2D/3D MHPs bilayer thin films, where the 2D MHPs are created by a single conjugated organic cation. In addition, the PPDs based on the above novel 2D/3D MHPs bilayer thin film exhibit a projected detectivity of 1016 cm Hz1/2/W and a linear dynamic range of 108 dB at room temperature. Our studies indicate that the development of binary conjugated organic cation-based 2D MHPs incorporated with 3D MHPs is a simple method to realize high-performance PSCs and PPDs.
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Affiliation(s)
- Lening Shen
- School of Polymer Science and Polymer Engineering, College of Engineering and Polymer Science, The University of Akron, Akron, Ohio 44325, United States
| | - Haodong Wu
- School of Polymer Science and Polymer Engineering, College of Engineering and Polymer Science, The University of Akron, Akron, Ohio 44325, United States
| | - Zikun Cao
- Department of Physics, University of Miami, Coral Gables ,Florida33146, United States
| | - Xiyao Zhang
- School of Polymer Science and Polymer Engineering, College of Engineering and Polymer Science, The University of Akron, Akron, Ohio 44325, United States
| | - Lei Liu
- School of Polymer Science and Polymer Engineering, College of Engineering and Polymer Science, The University of Akron, Akron, Ohio 44325, United States
| | - Hussain Sawwan
- School of Polymer Science and Polymer Engineering, College of Engineering and Polymer Science, The University of Akron, Akron, Ohio 44325, United States
| | - Tao Zhu
- School of Polymer Science and Polymer Engineering, College of Engineering and Polymer Science, The University of Akron, Akron, Ohio 44325, United States
| | - Jie Zheng
- Department of Chemical, Biomolecular and Corrosion Engineering, College of Engineering and Polymer Science, The University of Akron, Akron, Ohio 44325, United States
| | - He Wang
- Department of Physics, University of Miami, Coral Gables ,Florida33146, United States
| | - Xiong Gong
- School of Polymer Science and Polymer Engineering, College of Engineering and Polymer Science, The University of Akron, Akron, Ohio 44325, United States
- Department of Chemical, Biomolecular and Corrosion Engineering, College of Engineering and Polymer Science, The University of Akron, Akron, Ohio 44325, United States
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22
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Sun Q, Liu L, Yang Y. [The mechanical ventilation guided by electrical impedance tomography in acute respiratory distress syndrome]. Zhonghua Yi Xue Za Zhi 2024; 104:1247-1252. [PMID: 38637164 DOI: 10.3760/cma.j.cn112137-20231007-00655] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Indexed: 04/20/2024]
Abstract
Acute respiratory distress syndrome (ARDS) is a common and critical clinical condition characterized by diffuse damage to the lung interstitium, alveoli, and increased permeability of pulmonary blood vessels. CT can be used to assess the imaging features, severity, and prediction of ARDS, but it requires patient transportation to the CT room and is only a static examination. Electrical impedance tomography (EIT) is an increasingly widely used monitoring tool in clinical applications in recent years. It enables continuous real-time assessment of lung ventilation distribution at the bedside and has high clinical value in optimizing mechanical ventilation parameters for critically ill patients. This article introduces the basic principles of EIT and how to better utilize EIT technology to guide mechanical ventilation treatment for ARDS patients.
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Affiliation(s)
- Q Sun
- Department of Critical Care Unit, Zhongda Hospital Affiliated to Southeast University, Key Laboratory of Critical Care Medicine of Jiangsu Province, Nanjing 210009, China
| | - L Liu
- Department of Critical Care Unit, Zhongda Hospital Affiliated to Southeast University, Key Laboratory of Critical Care Medicine of Jiangsu Province, Nanjing 210009, China
| | - Y Yang
- Department of Critical Care Unit, Zhongda Hospital Affiliated to Southeast University, Key Laboratory of Critical Care Medicine of Jiangsu Province, Nanjing 210009, China
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23
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Liu L, Wu N, Ouyang M, Xing Y, Tian J, Chen P, Wu J, Hu Y, Niu X, Fu M, Ye D. Enhancement Effect Induced by the Second Metal to Promote Ozone Catalytic Oxidation of VOCs. Environ Sci Technol 2024; 58:6725-6735. [PMID: 38565876 DOI: 10.1021/acs.est.4c00710] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/04/2024]
Abstract
It is a promising research direction to develop catalysts with high stability and ozone utilization for low-temperature ozone catalytic oxidation of VOCs. While bimetallic catalysts exhibit excellent catalytic activity compared with conventional single noble metal catalysts, limited success has been achieved in the influence of the bimetallic effect on the stability and ozone utilization of metal catalysts. Herein, it is necessary to systematically study the enhancement effect in the ozone catalytic reaction induced by the second metal. With a simple continuous impregnation method, a platinum-cerium bimetallic catalyst is prepared. Also highlighted are studies from several aspects of the contribution of the second metal (Ce) to the stability and ozone utilization of the catalysts, including the "electronic effect" and "geometric effect". The synergistic removal rate of toluene and ozone is nearly 100% at 30 °C, and it still shows positive stability after high humidity and a long reaction time. More importantly, the instructive significance, which is the in-depth knowledge of enhanced catalytic mechanism of bimetallic catalysts resulting from a second metal, is provided by this work.
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Affiliation(s)
- Lei Liu
- School of Environment and Energy, South China University of Technology, Guangzhou 510006, China
| | - Ning Wu
- School of Environment and Energy, South China University of Technology, Guangzhou 510006, China
| | - Ming Ouyang
- School of Environment and Energy, South China University of Technology, Guangzhou 510006, China
| | - Yun Xing
- School of Environment and Energy, South China University of Technology, Guangzhou 510006, China
| | - Juntai Tian
- School of Environment and Energy, South China University of Technology, Guangzhou 510006, China
| | - Peirong Chen
- School of Environment and Energy, South China University of Technology, Guangzhou 510006, China
- Guangdong Provincial Key Laboratory of Atmospheric Environment and Pollution Control, Guangzhou 510006, China
- National Engineering Laboratory for VOCs Pollution Control Technology and Equipment, Guangzhou 510006, China
| | - Junliang Wu
- School of Environment and Energy, South China University of Technology, Guangzhou 510006, China
- Guangdong Provincial Key Laboratory of Atmospheric Environment and Pollution Control, Guangzhou 510006, China
- National Engineering Laboratory for VOCs Pollution Control Technology and Equipment, Guangzhou 510006, China
| | - Yun Hu
- School of Environment and Energy, South China University of Technology, Guangzhou 510006, China
| | - Xiaojun Niu
- School of Environment and Energy, South China University of Technology, Guangzhou 510006, China
| | - Mingli Fu
- School of Environment and Energy, South China University of Technology, Guangzhou 510006, China
- Guangdong Provincial Key Laboratory of Atmospheric Environment and Pollution Control, Guangzhou 510006, China
- National Engineering Laboratory for VOCs Pollution Control Technology and Equipment, Guangzhou 510006, China
| | - Daiqi Ye
- School of Environment and Energy, South China University of Technology, Guangzhou 510006, China
- Guangdong Provincial Key Laboratory of Atmospheric Environment and Pollution Control, Guangzhou 510006, China
- National Engineering Laboratory for VOCs Pollution Control Technology and Equipment, Guangzhou 510006, China
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24
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Yuan XY, Liu L, Qiu HB. [New 2023 global definition of acute respiratory distress syndrome: progress and limitation]. Zhonghua Yi Xue Za Zhi 2024; 104:1216-1220. [PMID: 38637158 DOI: 10.3760/cma.j.cn112137-20231016-00770] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Indexed: 04/20/2024]
Abstract
Acute respiratory distress syndrome (ARDS) presents a challenge in clinical diagnosis as it lacks a definitive gold standard. Over the past 55 years, there have been several revisions to the definition of ARDS. With the progress of clinical practice and scientific research, the limitations of the "Berlin definition" have become increasingly evident. In response to these changes, the 2023 global definition of ARDS aims to address these issues by expanding the diagnostic targets, chest imaging, and methods for assessing hypoxia. Additionally, the new definition increases the diagnostic criteria to accommodate resource-constrained settings. The expansion facilitates early identification and treatment interventions for ARDS, thereby advancing epidemiological and clinically related research. Nevertheless, the broad nature of this revision may include patients who do not actually have ARDS, thus raising the risk of false-positive diagnoses. Therefore, additional verification is crucial to ascertain the validity and accuracy of the 2023 global definition of ARDS.
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Affiliation(s)
- X Y Yuan
- Jiangsu Provincial Key Laboratory of Critical Care Medicine, Department of Critical Care Medicine, Zhongda Hospital, School of Medicine, Southeast University, Nanjing 210009, China
| | - L Liu
- Jiangsu Provincial Key Laboratory of Critical Care Medicine, Department of Critical Care Medicine, Zhongda Hospital, School of Medicine, Southeast University, Nanjing 210009, China
| | - H B Qiu
- Jiangsu Provincial Key Laboratory of Critical Care Medicine, Department of Critical Care Medicine, Zhongda Hospital, School of Medicine, Southeast University, Nanjing 210009, China
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25
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Zhuang H, Chen D, Liu L, Keeney D, Zhang G, Jiao Y. Vibrational properties of disordered stealthy hyperuniform 1D atomic chains. J Phys Condens Matter 2024; 36:285703. [PMID: 38579735 DOI: 10.1088/1361-648x/ad3b5c] [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: 01/04/2024] [Accepted: 04/05/2024] [Indexed: 04/07/2024]
Abstract
Disorder hyperuniformity is a recently discovered exotic state of many-body systems that possess a hidden order in between that of a perfect crystal and a completely disordered system. Recently, this novel disordered state has been observed in a number of quantum materials including amorphous 2D graphene and silica, which are endowed with unexpected electronic transport properties. Here, we numerically investigate 1D atomic chain models, including perfect crystalline, disordered stealthy hyperuniform (SHU) as well as randomly perturbed atom packing configurations to obtain a quantitative understanding of how the unique SHU disorder affects the vibrational properties of these low-dimensional materials. We find that the disordered SHU chains possess lower cohesive energies compared to the randomly perturbed chains, implying their potential reliability in experiments. Our inverse partition ratio (IPR) calculations indicate that the SHU chains can support fully delocalized states just like perfect crystalline chains over a wide range of frequencies, i.e.ω∈(0,100)cm-1, suggesting superior phonon transport behaviors within these frequencies, which was traditionally considered impossible in disordered systems. Interestingly, we observe the emergence of a group of highly localized states associated withω∼200cm-1, which is characterized by a significant peak in the IPR and a peak in phonon density of states at the corresponding frequency, and is potentially useful for decoupling electron and phonon degrees of freedom. These unique properties of disordered SHU chains have implications in the design and engineering of novel quantum materials for thermal and phononic applications.
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Affiliation(s)
- Houlong Zhuang
- School for Engineering of Matter, Transport and Energy, Arizona State University, Tempe, AZ 85287, United States of America
| | - Duyu Chen
- Materials Research Laboratory, University of California, Santa Barbara, CA 93106, United States of America
| | - Lei Liu
- School for Engineering of Matter, Transport and Energy, Arizona State University, Tempe, AZ 85287, United States of America
| | - David Keeney
- School for Engineering of Matter, Transport and Energy, Arizona State University, Tempe, AZ 85287, United States of America
| | - Ge Zhang
- Department of Physics, City University of Hong Kong, Hong Kong Special Administrative Region of China, People's Republic of China
| | - Yang Jiao
- School for Engineering of Matter, Transport and Energy, Arizona State University, Tempe, AZ 85287, United States of America
- Department of Physics, Arizona State University, Tempe, AZ 85287, United States of America
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26
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Tan CF, Wang J, Zhong XR, Dai ZL, Xiang ZZ, Zeng YY, Wei XY, Xu NY, Liu L. Is postmastectomy radiotherapy necessary for breast cancer patients with clinically node-positive downstaging to ypN0 after neoadjuvant chemotherapy? Breast Cancer Res Treat 2024:10.1007/s10549-024-07249-2. [PMID: 38616207 DOI: 10.1007/s10549-024-07249-2] [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] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2023] [Accepted: 01/04/2024] [Indexed: 04/16/2024]
Abstract
PURPOSE The significance of postmastectomy radiotherapy (PMRT) in breast cancer patients who initially have clinically node-positive (cN +) status but achieve downstaging to ypN0 following neoadjuvant chemotherapy (NAC) remains uncertain. This study aims to assess the impact of PMRT in this patient subset. METHODS Patients were enrolled from West China Hospital, Sichuan University from 2008 to 2019. Overall survival (OS), Locoregional recurrence-free survival (LRFS), distant metastasis-free survival (DMFS), and breast cancer-specific survival (BCSS) were estimated using the Kaplan-Meier method and assessed with the log-rank test. The impact of PMRT was further analyzed by the Cox proportional hazards model. Propensity score matching (PSM) was performed to reduce the selection bias. RESULTS Of the 333 eligible patients, 189 (56.8%) received PMRT, and 144 (43.2%) did not. At a median follow-up period of 71 months, the five-year LRFS, DMFS, BCSS, and OS rates were 99.1%, 93.4%, 96.4%, and 94.3% for the entire cohort, respectively. Additionally, the 5-year LRFS, DMFS, BCSS, and OS rates were 98.9%, 93.8%, 96.7%, and 94.5% with PMRT and 99.2%, 91.3%, 94.9%, and 92.0% without PMRT, respectively (all p-values not statistically significant). After multivariate analysis, PMRT was not a significant risk factor for any of the endpoints. When further stratified by stage, PMRT did not show any survival benefit for patients with stage II-III diseases. CONCLUSION In the context of comprehensive treatments, PMRT might be exempted in ypN0 breast cancer patients. Further large-scale, randomized controlled studies are required to investigate the significance of PMRT in this patient subset.
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Affiliation(s)
- Chen-Feng Tan
- Division of Head & Neck Tumor Multimodality Treatment, Cancer Center, West China Hospital, Sichuan University, Chengdu, Sichuan, People's Republic of China
| | - Jun Wang
- Division of Head & Neck Tumor Multimodality Treatment, Cancer Center, West China Hospital, Sichuan University, Chengdu, Sichuan, People's Republic of China
| | - Xiao-Rong Zhong
- Breast Center, Cancer Center, West China Hospital, Sichuan University, Chengdu, Sichuan, People's Republic of China
| | - Ze-Lei Dai
- Division of Head & Neck Tumor Multimodality Treatment, Cancer Center, West China Hospital, Sichuan University, Chengdu, Sichuan, People's Republic of China
| | - Zhong-Zheng Xiang
- Division of Head & Neck Tumor Multimodality Treatment, Cancer Center, West China Hospital, Sichuan University, Chengdu, Sichuan, People's Republic of China
| | - Yuan-Yuan Zeng
- Division of Head & Neck Tumor Multimodality Treatment, Cancer Center, West China Hospital, Sichuan University, Chengdu, Sichuan, People's Republic of China
| | - Xiao-Yuan Wei
- Division of Head & Neck Tumor Multimodality Treatment, Cancer Center, West China Hospital, Sichuan University, Chengdu, Sichuan, People's Republic of China
| | - Ning-Yue Xu
- Division of Head & Neck Tumor Multimodality Treatment, Cancer Center, West China Hospital, Sichuan University, Chengdu, Sichuan, People's Republic of China
| | - Lei Liu
- Division of Head & Neck Tumor Multimodality Treatment, Cancer Center, West China Hospital, Sichuan University, Chengdu, Sichuan, People's Republic of China.
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27
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Zhu H, Guan Y, Wang W, Liu X, Wang S, Zheng R, Li Y, Liu L, Huang H. Reniformin A suppresses non-small cell lung cancer progression by inducing TLR4/NLRP3/caspase-1/GSDMD-dependent pyroptosis. Int Immunopharmacol 2024; 133:112068. [PMID: 38626545 DOI: 10.1016/j.intimp.2024.112068] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2024] [Revised: 03/13/2024] [Accepted: 04/08/2024] [Indexed: 04/18/2024]
Abstract
Pyroptosis is an inflammatory form of programmed cell death that plays an important role in regulating tumor progression. Reniformin A (RA) is a natural compound isolated from the medicinal herb Isodon excisoides that has been applied as folk medicine in the treatment of esophageal cancer. However, whether RA has an individual function in cancer and the molecular mechanisms remain unclear. Here, we show that in non-small-cell lung cancer (NSCLC), RA inhibits tumor growth by functioning as a pyroptosis inducer to promote TLR4/NLRP3/caspase-1/GSDMD axis. Specially, RA treatment increased Toll-like receptor 4 (TLR4) protein expression level by enhancing the TLR4 stability. Based on the molecular docking, we identified that RA directly bound to TLR4 to activate the NLRP3 inflammasome and promote pyroptosis in A549 cells. Moreover, TLR4 is essential for RA-induced pyroptosis, and loss of TLR4 abolished RA-induced pyroptosis and further reduced the inhibitory effect of RA on NSCLC. In vivo experiments confirmed that RA inhibited the growth of lung tumors in mice by affecting pyroptosis in a dose-dependent manner. Furthermore, TLR4 knockdown abolished RA-induced pyroptosis and inhibited the effect of RA chemotherapy in vivo. In conclusion, we propose that RA has a significant anticancer effect in NSCLC by inducing TLR4/NLRP3/caspase-1/GSDMD-mediated pyroptosis, which may provide a potential strategy for the treatment of NSCLC.
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Affiliation(s)
- Huiyu Zhu
- Collaborative Innovation Center of Research and Development on the Whole Industry Chain of Yu-Yao, Henan Province, Henan University of Chinese Medicine, Zhengzhou 450046, China
| | - Yifei Guan
- Beijing Key Laboratory of Environmental and Viral Oncology, Beijing International Science and Technology Cooperation Base for Antiviral Drugs, College of Chemistry and Life Science, Beijing University of Technology, Beijing 100124, China
| | - Wei Wang
- Department of Radiology, Seventh Medical Center of Chinese PLA General Hospital, Beijing 100700, China
| | - Xinhui Liu
- Beijing Key Laboratory of Environmental and Viral Oncology, Beijing International Science and Technology Cooperation Base for Antiviral Drugs, College of Chemistry and Life Science, Beijing University of Technology, Beijing 100124, China
| | - Sijia Wang
- Beijing Key Laboratory of Environmental and Viral Oncology, Beijing International Science and Technology Cooperation Base for Antiviral Drugs, College of Chemistry and Life Science, Beijing University of Technology, Beijing 100124, China
| | - Ran Zheng
- Beijing Key Laboratory of Environmental and Viral Oncology, Beijing International Science and Technology Cooperation Base for Antiviral Drugs, College of Chemistry and Life Science, Beijing University of Technology, Beijing 100124, China
| | - Yihan Li
- Collaborative Innovation Center of Research and Development on the Whole Industry Chain of Yu-Yao, Henan Province, Henan University of Chinese Medicine, Zhengzhou 450046, China
| | - Lei Liu
- Department of Comprehensive Treatment, 2nd Medical Center of Chinese PLA General Hospital, Beijing 100036, China.
| | - Hua Huang
- Beijing Key Laboratory of Environmental and Viral Oncology, Beijing International Science and Technology Cooperation Base for Antiviral Drugs, College of Chemistry and Life Science, Beijing University of Technology, Beijing 100124, China.
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Liu L, Qin S, Lin K, Xu Q, Yang Y, Cai J, Zeng Y, Yuan S, Xiang B, Lau WY, Zhou W. Development and comprehensive validation of a predictive prognosis model for very early HCC recurrence within one year after curative resection: a multicenter cohort study. Int J Surg 2024:01279778-990000000-01345. [PMID: 38626419 DOI: 10.1097/js9.0000000000001467] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2023] [Accepted: 03/31/2024] [Indexed: 04/18/2024]
Abstract
BACKGROUND The high incidence of early recurrence after liver resection for hepatocellular carcinoma (HCC) is the main obstacle in achieving good long-term survival outcomes. The aim of the present study is to develop a prognostic model in predicting the risk of very early (1-year) recurrence. MATERIAL AND METHODS Consecutive patients who underwent liver resection for HCC with curative intent at multi-centers in China were enrolled in this study. The VERM-pre (the Preoperative Very Early Recurrence Model of HCC) with good performance was derived and validated by internal and external cohorts retrospectively and by another two-center cohort prospectively. RESULTS 7401 patients were enrolled and divided randomly into 3 cohorts. Eight variables (tumor diameter, tumor number, macrovascular invasion, satellite nodule, alpha-fetoprotein, level of HBV-DNA, γ-GT and prothrombin time) were identified as independent risk factors for recurrence-free survival on uni- and multi-variate analyses. The VERM-pre model was developed which showed a high capacity of discrimination (C-index: 0.722; AUROC at 1 year: 0.722)) and was validated comprehensively by the internal, external and prospective cohorts, retrospectively. Calibration plots showed satisfactory fitting of probability of early HCC recurrence in the cohorts. Three risk strata were derived to have significantly different recurrence free survival rates (low-risk: 80.4%-85.4%; intermediate-risk: 59.7%-64.8%; high-risk: 32.6%-42.6%). In the prospective validation cohort, the swimming plot illustrated consistent outcomes with the beginning predictive score. CONCLUSION The VERM-pre model accurately predicted the 1-year recurrence rates of HCC after liver resection with curative intent. The model was retrospectively and prospectively validated and then developed as the online tool.
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Affiliation(s)
- Lei Liu
- The Third Department of Hepatic Surgery, Eastern Hepatobiliary Surgery Hospital, Shanghai 200438, China
| | - Shangdong Qin
- Hepatobiliary Surgery Department, Guangxi Medical University Cancer Hospital, HeDi Rd #71, Nanning, China
| | - Kongying Lin
- Department of Hepatopancreatobiliary Surgery, Mengchao Hepatobiliary Hospital of Fujian Medical University, Fuzhou 350025, China
| | - Qingguo Xu
- Organ Transplantation Center, The Institute of Transplantation Science, The Affiliated Hospital of Qingdao University
| | - Yuan Yang
- The Third Department of Hepatic Surgery, Eastern Hepatobiliary Surgery Hospital, Shanghai 200438, China
| | - Jinzhen Cai
- Organ Transplantation Center, The Institute of Transplantation Science, The Affiliated Hospital of Qingdao University
| | - Yongyi Zeng
- Department of Hepatopancreatobiliary Surgery, Mengchao Hepatobiliary Hospital of Fujian Medical University, Fuzhou 350025, China
| | - Shengxian Yuan
- The Third Department of Hepatic Surgery, Eastern Hepatobiliary Surgery Hospital, Shanghai 200438, China
| | - Bangde Xiang
- Hepatobiliary Surgery Department, Guangxi Medical University Cancer Hospital, HeDi Rd #71, Nanning, China
| | - Wan Yee Lau
- The Third Department of Hepatic Surgery, Eastern Hepatobiliary Surgery Hospital, Shanghai 200438, China
- Faculty of Medicine, the Chinese University of Hong Kong, Shatin, New Territories, Hong Kong SAR, China
| | - Weiping Zhou
- The Third Department of Hepatic Surgery, Eastern Hepatobiliary Surgery Hospital, Shanghai 200438, China
- Key Laboratory of Signaling Regulation and Targeting Therapy of Liver Cancer (SMMU), Ministry of Education. Shanghai 200438, China
- Shanghai Key Laboratory of Hepatobiliary Tumor Biology (EHBH), Shanghai 200438, China
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Jing X, Shao Y, Wang H, Han G, Zhang J, Wang N, Xu J, Liu L, Chen G. Aging of polypropylene plastic and impacts on microbial community structure in constructed wetlands. Environ Pollut 2024; 347:123433. [PMID: 38278405 DOI: 10.1016/j.envpol.2024.123433] [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: 10/24/2023] [Revised: 01/19/2024] [Accepted: 01/21/2024] [Indexed: 01/28/2024]
Abstract
The COVID-19 pandemic has resulted in a substantial surge in the usage of disposable plastic masks, generating a significant volume of waste and contributing to environmental pollution. Wetland ecosystems function as crucial repositories for terrestrial pollutants and are highly effective in retaining disposable masks composed mainly of PP material. These masks can endure extended periods in wetlands, experiencing natural degradation that may have potential implications on wetland ecosystems. Our findings demonstrate the natural aging process of disposable masks, resulting in the generation of microplastics (MPs) ranging in diameter from 10 to 30 μm over a 180-day timeframe. Examination of 16S rDNA data unveiled temporal fluctuations in microbial diversity in the wetland ecosystem. Initially, microbial diversity displayed a modest incline, which was succeeded by a subsequent decrease. With the progressive accumulation of plastic within the wetland, an ongoing decline in microbial diversity linked to nitrogen transformation was observed. This study provides valuable insights into the retention of disposable masks by wetlands amidst the COVID-19 pandemic, along with their consequential effects on wetland ecosystems, specifically pertaining to nitrogen cycling. It underscores the urgency of augmenting the safeguarding measures for wetland ecosystems.
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Affiliation(s)
- Xinxin Jing
- School of Municipal and Environmental Engineering, Shandong Jianzhu University, Jinan, 250101, China
| | - Yuanyuan Shao
- School of Municipal and Environmental Engineering, Shandong Jianzhu University, Jinan, 250101, China.
| | - Hongbo Wang
- School of Municipal and Environmental Engineering, Shandong Jianzhu University, Jinan, 250101, China
| | - Guolan Han
- School of Municipal and Environmental Engineering, Shandong Jianzhu University, Jinan, 250101, China
| | - Jian Zhang
- School of Municipal and Environmental Engineering, Shandong Jianzhu University, Jinan, 250101, China
| | - Ning Wang
- School of Municipal and Environmental Engineering, Shandong Jianzhu University, Jinan, 250101, China
| | - Jingtao Xu
- School of Municipal and Environmental Engineering, Shandong Jianzhu University, Jinan, 250101, China
| | - Lei Liu
- School of Municipal and Environmental Engineering, Shandong Jianzhu University, Jinan, 250101, China
| | - Gao Chen
- Institute of Crop Germplasm Resources, Shandong Academy of Agricultural Sciences, Jinan, 250100, China; State Key Laboratory of Nutrient Use and Management, Jinan, 250100, China
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30
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Ju Y, Fang S, Liu L, Ma H, Zheng L. The function of the ELF3 gene and its mechanism in cancers. Life Sci 2024; 346:122637. [PMID: 38614305 DOI: 10.1016/j.lfs.2024.122637] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2024] [Revised: 04/01/2024] [Accepted: 04/10/2024] [Indexed: 04/15/2024]
Abstract
E74-like factor 3 (ELF3) is an important member of the E-twenty-six (ETS) transcription factor family. ELF3 is expressed in various types of cells and regulates a variety of biological behaviors, such as cell proliferation, differentiation, apoptosis, migration, and invasion, by binding to DNA to regulate the expression of other genes. In recent years, studies have shown that ELF3 plays an important role in the occurrence and development of many tumors and inflammation and immune related diseases. ELF3 has different functions and expression patterns in different tumors; it can function as a tumor suppressor gene or an oncogene, highlighting its dual effects of tumor promotion and inhibition. ELF3 also affects the levels of tumor immunity-related cytokines and is involved in the regulation and expression of multiple signaling pathways. In tumor therapy, ELF3 is a complex and multifunctional gene and has become a key focus of targeted treatment research. An in-depth study of the biological function of ELF3 can help to elucidate its role in biological processes and provide ideas and a basis for the development and clinical application of ELF3-related therapeutic methods. This review introduces the structure and physiological and cellular functions of the ELF3 gene, summarizes the mechanisms of action of ELF3 in different types of malignant tumors and its role in immune regulation, inflammation, etc., and discusses treatment methods for ELF3-related diseases, providing significant reference value for scholars studying the ELF3 gene and related diseases.
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Affiliation(s)
- Yiheng Ju
- Affiliated Hospital of Qingdao University, Qingdao, China
| | - Sheng Fang
- Yantai Penglai People's Hospital, Yantai, China
| | - Lei Liu
- Affiliated Hospital of Qingdao University, Qingdao, China
| | - Hui Ma
- Affiliated Hospital of Qingdao University, Qingdao, China.
| | - Longbo Zheng
- Affiliated Hospital of Qingdao University, Qingdao, China.
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31
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Li C, Jing Z, Shen J, Liu S, Liu L, Yang X, Yu H. Global burden of vision loss attributable to household air pollution from 1990 to 2019: A trend analysis and 10-year prediction. Chin Med J (Engl) 2024:00029330-990000000-01037. [PMID: 38613206 DOI: 10.1097/cm9.0000000000003051] [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] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2023] [Indexed: 04/14/2024] Open
Affiliation(s)
- Cong Li
- Department of Ophthalmology, Guangdong Eye Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong 510080, China
- School of Medicine South China University of Technology, Guangzhou 510006, China
| | - Zuoqian Jing
- Department of Ophthalmology, The First Hospital of China Medical University, Shenyang, Liaoning 110001, China
| | - Jianbo Shen
- Department of Neurosurgery, Jincheng People's Hospital, Jincheng, Shanxi 048026, China
| | - Shunming Liu
- Department of Ophthalmology, Guangdong Eye Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong 510080, China
| | - Lei Liu
- Department of Ophthalmology, Guangdong Eye Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong 510080, China
- Department of Neurosurgery, Jincheng People's Hospital, Jincheng, Shanxi 048026, China
| | - Xiaohong Yang
- Department of Ophthalmology, Guangdong Eye Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong 510080, China
| | - Honghua Yu
- Department of Ophthalmology, Guangdong Eye Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong 510080, China
- School of Medicine South China University of Technology, Guangzhou 510006, China
- Guangdong Provincial Key Laboratory of Artificial Intelligence in Medical Image Analysis and Application, Guangzhou 510080, China
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Hao W, Guo B, Liu J, Ren Q, Li S, Li Q, Zhou K, Liu L, Wu HC. Single-Molecule Exchange inside a Nanocage Provides Insights into the Origin of π-π Interactions. J Am Chem Soc 2024; 146:10206-10216. [PMID: 38536205 DOI: 10.1021/jacs.4c03159] [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: 04/11/2024]
Abstract
The attractive interactions between aromatic rings, also known as π-π interactions, have been widely used for decades. However, the origin of π-π interactions remains controversial due to the difficulties in experimentally measuring the weak interactions between π-systems. Here, we construct an elaborate system to accurately compare the strength of the π-π interactions between phenylalanine derivatives via molecular exchange processes inside a protein nanopore. Based on quantitative comparison of binding strength, we find that in most cases, the π-π interaction is primarily driven by dispersive attraction, with the electrostatic interaction playing a secondary role and tending to be repulsive. However, in cases where electronic effects are particularly strong, electrostatic induction may exceed dispersion forces to become the primary driving force for interactions between π-systems. The results of this study not only deepen our understanding of π-stacking but also have potential implications in areas where π-π interactions play a crucial role.
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Affiliation(s)
- Wenying Hao
- Beijing National Laboratory for Molecular Sciences, Key Laboratory of Analytical Chemistry for Living Biosystems, Institute of Chemistry, Chinese Academy of Sciences, Beijing 100190, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Bingyuan Guo
- Beijing National Laboratory for Molecular Sciences, Key Laboratory of Analytical Chemistry for Living Biosystems, Institute of Chemistry, Chinese Academy of Sciences, Beijing 100190, China
| | - Jianchuan Liu
- School of Electrical Engineering and Electronic Information, Xihua University, Chengdu 610039, China
| | - Qianyuan Ren
- Beijing National Laboratory for Molecular Sciences, Key Laboratory of Analytical Chemistry for Living Biosystems, Institute of Chemistry, Chinese Academy of Sciences, Beijing 100190, China
| | - Shumu Li
- Beijing National Laboratory for Molecular Sciences, Key Laboratory of Analytical Chemistry for Living Biosystems, Institute of Chemistry, Chinese Academy of Sciences, Beijing 100190, China
| | - Qian Li
- Center for Physicochemical Analysis and Measurement, Institute of Chemistry, Chinese Academy of Sciences, Beijing 100049, China
| | - Ke Zhou
- Beijing National Laboratory for Molecular Sciences, Key Laboratory of Analytical Chemistry for Living Biosystems, Institute of Chemistry, Chinese Academy of Sciences, Beijing 100190, China
| | - Lei Liu
- Key Laboratory for Biomedical Effects of Nanomaterials & Nanosafety, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing 100049, China
| | - Hai-Chen Wu
- Beijing National Laboratory for Molecular Sciences, Key Laboratory of Analytical Chemistry for Living Biosystems, Institute of Chemistry, Chinese Academy of Sciences, Beijing 100190, China
- University of Chinese Academy of Sciences, Beijing 100049, China
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Su X, Lin Y, Hu X, Tan X, Mai Y, Jiang M, Zhang R, Huo F, Liu L, Tian W, Xie L. Sustained free chlorine-releasing polydimethylsiloxane/Ca(ClO) 2 materials with long-lasting disinfection efficacy. RSC Adv 2024; 14:12049-12057. [PMID: 38628489 PMCID: PMC11019411 DOI: 10.1039/d4ra00663a] [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] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2024] [Accepted: 04/08/2024] [Indexed: 04/19/2024] Open
Abstract
A novel sustained chlorine-releasing polydimethylsiloxane/Ca(ClO)2 (PDMS/Ca(ClO)2) material was fabricated by encapsulating Ca(ClO)2 in a PDMS matrix due to its high hydrophobicity and high chemical stability, which showed immediate-responsive and long-lasting antibacterial capabilities in aqueous conditions. Free chlorine could be released from the PDMS/Ca(ClO)2 after immersion in water for 2 min and could also be sustainedly released for 2 weeks, while the released concentration is negatively related to the duration time and positively with the initial Ca(ClO)2 contents. Additionally, Ca(ClO)2 powder as a filler significantly affects the crosslinking and pore size of PDMS. The PDMS/Ca(ClO)2 materials exhibited enduring antibacterial performance against Escherichia coli (E. coli) and Staphylococcus aureus (S. aureus) in both planktonic and multispecies-biofilm status. It is expected that this PDMS/Ca(ClO)2 material and its similar composite would be promising candidates for wide sustainable disinfection applications in biomedical and industrial fields.
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Affiliation(s)
- Xiaofan Su
- State Key Laboratory of Oral Diseases & National Center for Stomatology & National Clinical Research Center for Oral Diseases & Engineering Research Center of Oral Translational Medicine, Ministry of Education & National Engineering Laboratory for Oral Regenerative Medicine, West China Hospital of Stomatology, Sichuan University Chengdu 610041 Sichuan China
- State Key Laboratory of Oral Diseases & National Center for Stomatology & National Clinical Research Center for Oral Diseases & Department of Oral and Maxillofacial Surgery, West China Hospital of Stomatology, Sichuan University Chengdu Sichuan 610041 China
| | - Yaqi Lin
- State Key Laboratory of Oral Diseases & National Center for Stomatology & National Clinical Research Center for Oral Diseases & Engineering Research Center of Oral Translational Medicine, Ministry of Education & National Engineering Laboratory for Oral Regenerative Medicine, West China Hospital of Stomatology, Sichuan University Chengdu 610041 Sichuan China
| | - Xingyu Hu
- State Key Laboratory of Oral Diseases & National Center for Stomatology & National Clinical Research Center for Oral Diseases & Engineering Research Center of Oral Translational Medicine, Ministry of Education & National Engineering Laboratory for Oral Regenerative Medicine, West China Hospital of Stomatology, Sichuan University Chengdu 610041 Sichuan China
- State Key Laboratory of Oral Diseases & National Center for Stomatology & National Clinical Research Center for Oral Diseases & Department of Oral and Maxillofacial Surgery, West China Hospital of Stomatology, Sichuan University Chengdu Sichuan 610041 China
| | - Xinzhi Tan
- State Key Laboratory of Oral Diseases & National Center for Stomatology & National Clinical Research Center for Oral Diseases & Engineering Research Center of Oral Translational Medicine, Ministry of Education & National Engineering Laboratory for Oral Regenerative Medicine, West China Hospital of Stomatology, Sichuan University Chengdu 610041 Sichuan China
- State Key Laboratory of Oral Diseases & National Center for Stomatology & National Clinical Research Center for Oral Diseases & Department of Oral and Maxillofacial Surgery, West China Hospital of Stomatology, Sichuan University Chengdu Sichuan 610041 China
| | - Yao Mai
- State Key Laboratory of Oral Diseases & National Center for Stomatology & National Clinical Research Center for Oral Diseases & Engineering Research Center of Oral Translational Medicine, Ministry of Education & National Engineering Laboratory for Oral Regenerative Medicine, West China Hospital of Stomatology, Sichuan University Chengdu 610041 Sichuan China
- State Key Laboratory of Oral Diseases & National Center for Stomatology & National Clinical Research Center for Oral Diseases & Department of Oral and Maxillofacial Surgery, West China Hospital of Stomatology, Sichuan University Chengdu Sichuan 610041 China
| | - Minyan Jiang
- State Key Laboratory of Oral Diseases & National Center for Stomatology & National Clinical Research Center for Oral Diseases & Engineering Research Center of Oral Translational Medicine, Ministry of Education & National Engineering Laboratory for Oral Regenerative Medicine, West China Hospital of Stomatology, Sichuan University Chengdu 610041 Sichuan China
- State Key Laboratory of Oral Diseases & National Center for Stomatology & National Clinical Research Center for Oral Diseases & Department of Oral and Maxillofacial Surgery, West China Hospital of Stomatology, Sichuan University Chengdu Sichuan 610041 China
| | - Ruitao Zhang
- State Key Laboratory of Oral Diseases & National Center for Stomatology & National Clinical Research Center for Oral Diseases & Engineering Research Center of Oral Translational Medicine, Ministry of Education & National Engineering Laboratory for Oral Regenerative Medicine, West China Hospital of Stomatology, Sichuan University Chengdu 610041 Sichuan China
- State Key Laboratory of Oral Diseases & National Center for Stomatology & National Clinical Research Center for Oral Diseases & Department of Oral and Maxillofacial Surgery, West China Hospital of Stomatology, Sichuan University Chengdu Sichuan 610041 China
| | - Fangjun Huo
- State Key Laboratory of Oral Diseases & National Center for Stomatology & National Clinical Research Center for Oral Diseases & Engineering Research Center of Oral Translational Medicine, Ministry of Education & National Engineering Laboratory for Oral Regenerative Medicine, West China Hospital of Stomatology, Sichuan University Chengdu 610041 Sichuan China
| | - Lei Liu
- State Key Laboratory of Oral Diseases & National Center for Stomatology & National Clinical Research Center for Oral Diseases & Engineering Research Center of Oral Translational Medicine, Ministry of Education & National Engineering Laboratory for Oral Regenerative Medicine, West China Hospital of Stomatology, Sichuan University Chengdu 610041 Sichuan China
- State Key Laboratory of Oral Diseases & National Center for Stomatology & National Clinical Research Center for Oral Diseases & Department of Oral and Maxillofacial Surgery, West China Hospital of Stomatology, Sichuan University Chengdu Sichuan 610041 China
| | - Weidong Tian
- State Key Laboratory of Oral Diseases & National Center for Stomatology & National Clinical Research Center for Oral Diseases & Engineering Research Center of Oral Translational Medicine, Ministry of Education & National Engineering Laboratory for Oral Regenerative Medicine, West China Hospital of Stomatology, Sichuan University Chengdu 610041 Sichuan China
- State Key Laboratory of Oral Diseases & National Center for Stomatology & National Clinical Research Center for Oral Diseases & Department of Oral and Maxillofacial Surgery, West China Hospital of Stomatology, Sichuan University Chengdu Sichuan 610041 China
| | - Li Xie
- State Key Laboratory of Oral Diseases & National Center for Stomatology & National Clinical Research Center for Oral Diseases & Engineering Research Center of Oral Translational Medicine, Ministry of Education & National Engineering Laboratory for Oral Regenerative Medicine, West China Hospital of Stomatology, Sichuan University Chengdu 610041 Sichuan China
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Wang Y, Li C, Liu L, Yang Y, He X, Li G, Zheng X, Ren Y, Zhao H, Du Z, Jiang J, Kuang Y, Jia F, Yu H, Yang X. Association of Retinal Neurovascular Impairment with Disease Severity in Patients with Major Depressive Disorder: An Optical Coherence Tomography Angiography Study. Psychol Res Behav Manag 2024; 17:1573-1585. [PMID: 38617578 PMCID: PMC11015850 DOI: 10.2147/prbm.s443146] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2023] [Accepted: 02/27/2024] [Indexed: 04/16/2024] Open
Abstract
Background Identifying the fundus objective biomarkers for the major depressive disorders (MDD) may help promote mental health. The aim of this study was to evaluate retinal neurovascular changes and further investigate their association with disease severity in MDD. Methods This cross-sectional study conducted in the hospital enrolled patients with MDD and healthy controls.The retinal neurovascular parameters for all subjects, including vessel density (VD), thickness of ganglion cell complex (GCC) and retinal nerve fiber layer (RNFL), and optic nerve head (ONH) eg are automatically calculated by the software in optical coherence tomography angiography (OCTA). The severity of MDD including depressive symptoms, anxiety, cognition, and insomnia was assessed by Hamilton Depression Rating Scale (HAMD), Hamilton Anxiety Scale (HAMA), Montreal Cognitive Assessment (MoCA), and Insomnia Severity Index (ISI) respectively. Results This study included 74 MDD patients (n=74 eyes) and 60 healthy controls (HCs) (n=60 eyes). MDD patients showed significantly decreased VD of superficial and deep capillary plexus, thickness of GCC and RNFL, and volume of ONH (all p<0.05) and increased vertical cup-to-disc ratio and global loss volume (GLV) (all p<0.05) compared to HCs. Positive associations were found between HAMD scores and cup area (r=0.30, p=0.035), cup volume (r=0.31, p=0.029), and disc area (r=0.33, p=0.020) as well as ISI scores and RNFL thickness (r=0.34, p=0.047). Conclusion We found the retinal neurovascular impairment and its association with disease severity in MDD patients. OCTA showed promise as a potential complementary assessment tool for MDD.
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Affiliation(s)
- Yan Wang
- Guangdong Eye Institute, Department of Ophthalmology, Guangdong Provincial People’s Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, People’s Republic of China
- School of Medicine, South China University of Technology, Guangzhou, People’s Republic of China
| | - Cong Li
- Guangdong Eye Institute, Department of Ophthalmology, Guangdong Provincial People’s Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, People’s Republic of China
- School of Medicine, South China University of Technology, Guangzhou, People’s Republic of China
| | - Lei Liu
- Guangdong Eye Institute, Department of Ophthalmology, Guangdong Provincial People’s Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, People’s Republic of China
| | - Yuan Yang
- Guangdong Mental Health Center, Guangdong Provincial People’s Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, People’s Republic of China
| | - Xue He
- Guangdong Eye Institute, Department of Ophthalmology, Guangdong Provincial People’s Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, People’s Republic of China
- School of Medicine, South China University of Technology, Guangzhou, People’s Republic of China
| | - Gang Li
- Guangdong Mental Health Center, Guangdong Provincial People’s Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, People’s Republic of China
| | - Xianzhen Zheng
- Guangdong Mental Health Center, Guangdong Provincial People’s Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, People’s Republic of China
| | - Yun Ren
- Guangdong Eye Institute, Department of Ophthalmology, Guangdong Provincial People’s Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, People’s Republic of China
- Shantou University Medical College, Shantou, People’s Republic of China
| | - Hanpeng Zhao
- Guangdong Eye Institute, Department of Ophthalmology, Guangdong Provincial People’s Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, People’s Republic of China
- The Second School of Clinical Medicine, Southern Medical University, Guangzhou, People’s Republic of China
| | - Zhenchao Du
- Guangdong Eye Institute, Department of Ophthalmology, Guangdong Provincial People’s Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, People’s Republic of China
- Shantou University Medical College, Shantou, People’s Republic of China
| | - Jianrong Jiang
- Guangdong Eye Institute, Department of Ophthalmology, Guangdong Provincial People’s Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, People’s Republic of China
- The Second School of Clinical Medicine, Southern Medical University, Guangzhou, People’s Republic of China
| | - Yu Kuang
- Guangdong Eye Institute, Department of Ophthalmology, Guangdong Provincial People’s Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, People’s Republic of China
| | - Fujun Jia
- Guangdong Mental Health Center, Guangdong Provincial People’s Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, People’s Republic of China
| | - Honghua Yu
- Guangdong Eye Institute, Department of Ophthalmology, Guangdong Provincial People’s Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, People’s Republic of China
| | - Xiaohong Yang
- Guangdong Eye Institute, Department of Ophthalmology, Guangdong Provincial People’s Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, People’s Republic of China
- School of Medicine, South China University of Technology, Guangzhou, People’s Republic of China
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Liu L, Ma Z, Han Q, Meng W, Wang H, Guan X, Shi Q. Myricetin Oligomer Triggers Multi-Receptor Mediated Penetration and Autophagic Restoration of Blood-Brain Barrier for Ischemic Stroke Treatment. ACS Nano 2024; 18:9895-9916. [PMID: 38533773 DOI: 10.1021/acsnano.3c09532] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/28/2024]
Abstract
Restoration of blood-brain barrier (BBB) dysfunction, which drives worse outcomes of ischemic stroke, is a potential target for therapeutic opportunities, whereas a sealed BBB blocks the therapeutics entrance into the brain, making the BBB protection strategy paradoxical. Post ischemic stroke, hypoxia/hypoglycemia provokes the up-regulation of transmembrane glucose transporters and iron transporters due to multiple metabolic disorders, especially in brain endothelial cells. Herein, we develop a myricetin oligomer-derived nanostructure doped with Ce to bypass the BBB which is cointermediated by glucose transporters and iron transporters such as glucose transporters 1 (GLUT1), sodium/glucose cotransporters 1 (SGLT1), and transferrin(Tf) reporter (TfR). Moreover, it exhibits BBB restoration capacity by regulating the expression of tight junctions (TJs) through the activation of protective autophagy. The myricetin oligomers scaffold not only acts as targeting moiety but is the prominent active entity that inherits all diverse pharmacological activities of myricetin. The suppression of oxidative damage, M1 microglia activation, and inflammatory factors makes it a multitasking nanoagent with a single component as the scaffold, targeting domain and curative components.
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Affiliation(s)
- Lei Liu
- State Key Laboratory of Polymer Physics and Chemistry, Changchun Institute of Applied Chemistry, Chinese Academy of Sciences, Changchun, Jilin 130022, P. R. China
- School of Applied Chemistry and Engineering, University of Science and Technology of China, Hefei, Anhui 230026, P. R. China
| | - Zhifang Ma
- State Key Laboratory of Polymer Physics and Chemistry, Changchun Institute of Applied Chemistry, Chinese Academy of Sciences, Changchun, Jilin 130022, P. R. China
| | - Qiaoyi Han
- State Key Laboratory of Polymer Physics and Chemistry, Changchun Institute of Applied Chemistry, Chinese Academy of Sciences, Changchun, Jilin 130022, P. R. China
- School of Applied Chemistry and Engineering, University of Science and Technology of China, Hefei, Anhui 230026, P. R. China
| | - Wei Meng
- State Key Laboratory of Polymer Physics and Chemistry, Changchun Institute of Applied Chemistry, Chinese Academy of Sciences, Changchun, Jilin 130022, P. R. China
- School of Applied Chemistry and Engineering, University of Science and Technology of China, Hefei, Anhui 230026, P. R. China
| | - Haozheng Wang
- State Key Laboratory of Polymer Physics and Chemistry, Changchun Institute of Applied Chemistry, Chinese Academy of Sciences, Changchun, Jilin 130022, P. R. China
| | - Xinghua Guan
- State Key Laboratory of Polymer Physics and Chemistry, Changchun Institute of Applied Chemistry, Chinese Academy of Sciences, Changchun, Jilin 130022, P. R. China
| | - Qiang Shi
- State Key Laboratory of Polymer Physics and Chemistry, Changchun Institute of Applied Chemistry, Chinese Academy of Sciences, Changchun, Jilin 130022, P. R. China
- School of Applied Chemistry and Engineering, University of Science and Technology of China, Hefei, Anhui 230026, P. R. China
- Key Laboratory of Polymeric Materials Design and Synthesis for Biomedical Function, Soochow University, Suzhou, Jiangsu 215123, P. R. China
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Fang Y, Ma Z, Wei D, Yu Y, Liu L, Shi Y, Gao J, Tang LC, Huang G, Song P. Engineering Sulfur-Containing Polymeric Fire-Retardant Coatings for Fire-Safe Rigid Polyurethane Foam. Macromol Rapid Commun 2024:e2400068. [PMID: 38593218 DOI: 10.1002/marc.202400068] [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: 01/31/2024] [Revised: 03/31/2024] [Indexed: 04/11/2024]
Abstract
With the advantages of lightweight and low thermal conductivity properties, polymeric foams are widely employed as thermal insulation materials for energy-saving buildings but suffer from inherent flammability. Flame-retardant coatings hold great promise for improving the fire safety of these foams without deteriorating the mechanical-physical properties of the foam. In this work, four kinds of sulfur-based flame-retardant copolymers are synthesized via a facile radical copolymerization. The sulfur-containing monomers serve as flame-retardant agents including vinyl sulfonic acid sodium (SPS), ethylene sulfonic acid sodium (VS), and sodium p-styrene sulfonate (VSS). Additionally, 2-hydroxyethyl acrylate (HEA) and 4-hydroxybutyl acrylate are employed to enable a strong interface adhesion with polymeric foams through interfacial H-bonding. By using as-synthesized waterborne flame-retardant polymeric coating with a thickness of 600 µm, the coated polyurethane foam (PUF) can achieve a desired V-0 rating during the vertical burning test with a high limiting oxygen index (LOI) of >31.5 vol%. By comparing these sulfur-containing polymeric fire-retardant coatings, poly(VS-co-HEA) coated PUF demonstrates the best interface adhesion capability and flame-retardant performance, with the lowest peak heat release rate of 166 kW m-2 and the highest LOI of 36.4 vol%. This work provides new avenues for the design and performance optimization of advanced fire-retardant polymeric coatings.
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Affiliation(s)
- Yang Fang
- College of Chemistry and Materials Engineering, Zhejiang A&F University, Hangzhou, 311300, China
| | - Zhewen Ma
- Interdisciplinary Materials Research Center, College of Materials Science and Engineering, Tongji University, Shanghai, 201804, P. R. China
| | - Dewang Wei
- College of Chemistry and Materials Engineering, Zhejiang A&F University, Hangzhou, 311300, China
| | - Youming Yu
- College of Chemistry and Materials Engineering, Zhejiang A&F University, Hangzhou, 311300, China
| | - Lei Liu
- College of Environment and Safety Engineering, Qingdao University of Science and Technology, Qingdao, 266045, China
- Centre for Further Materials, University of Southern Queensland, Springfield Central, QLD, 4300, Australia
| | - Yongqian Shi
- College of Environment and Safety Engineering, Fuzhou University, 2 Xueyuan Road, Fuzhou, 350116, China
| | - Jiefeng Gao
- School of Chemistry and Chemical Engineering, Yangzhou University, Yangzhou, 225002, China
| | - Long-Cheng Tang
- Key Laboratory of Organosilicon Chemistry and Material Technology of MoE, College of Material, Chemistry and Chemical Engineering, Hangzhou Normal University, Hangzhou, 311121, China
| | - Guobo Huang
- School of Pharmaceutical and Chemical Engineering, Taizhou University, Taizhou, 318000, China
| | - Pingan Song
- School of Agriculture and Environmental Science, Centre for Future Materials, University of Southern Queensland, Springfield, QLD, 4300, Australia
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Lv G, Li Y, Wu Z, Zhang Y, Li X, Wang T, Ren W, Liu L, Chen J, Zhang Y. Maize actin depolymerizing factor 1 (ZmADF1) negatively regulates pollen development. Biochem Biophys Res Commun 2024; 703:149637. [PMID: 38354464 DOI: 10.1016/j.bbrc.2024.149637] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2023] [Revised: 02/03/2024] [Accepted: 02/05/2024] [Indexed: 02/16/2024]
Abstract
The normal development of pollen grains and the completion of double fertilization in embryos are crucial for both the sexual reproduction of angiosperms and grain production. Actin depolymerizing factor (ADF) regulates growth, development, and responses to biotic and abiotic stress by binding to actin in plants. In this study, the function of the ZmADF1 gene was validated through bioinformatic analysis, subcellular localization, overexpression in maize and Arabidopsis, and knockout via CRISPR/Cas9. The amino acid sequence of ZmADF1 exhibited high conservation and a similar tertiary structure to that of ADF homologs. Subcellular localization analysis revealed that ZmADF1 is localized mainly to the nucleus and cytoplasm. The ZmADF1 gene was specifically expressed in maize pollen, and overexpression of the ZmADF1 gene decreased the number of pollen grains in the anthers of transgenic Arabidopsis plants. The germination rate of pollen and the empty seed shell rate in the fruit pods of the overexpressing plants were significantly greater than those in the wild-type (WT) plants. In maize, the pollen viability of the knockout lines was significantly greater than that of both the WT and the overexpressing lines. Our results confirmed that the ZmADF1 gene was specifically expressed in pollen and negatively regulated pollen quantity, vigor, germination rate, and seed setting rate. This study provides insights into ADF gene function and possible pathways for improving high-yield maize breeding.
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Affiliation(s)
- Guihua Lv
- Institute of Maize and Featured Upland Crops, Zhejiang Academy of Agricultural Sciences, Hangzhou, 310004, China
| | - Yunfeng Li
- The State Key Laboratory for Conservation and Utilization of Subtropical Agro-bioresources, South China Agricultural University, Guangzhou, 510642, China
| | - Zhengxin Wu
- Institute of Maize and Featured Upland Crops, Zhejiang Academy of Agricultural Sciences, Hangzhou, 310004, China
| | - Yahui Zhang
- The State Key Laboratory for Conservation and Utilization of Subtropical Agro-bioresources, South China Agricultural University, Guangzhou, 510642, China
| | - Xiangnan Li
- Institute of Maize and Featured Upland Crops, Zhejiang Academy of Agricultural Sciences, Hangzhou, 310004, China
| | - Tingzheng Wang
- Institute of Maize and Featured Upland Crops, Zhejiang Academy of Agricultural Sciences, Hangzhou, 310004, China
| | - Wenchuang Ren
- The State Key Laboratory for Conservation and Utilization of Subtropical Agro-bioresources, South China Agricultural University, Guangzhou, 510642, China
| | - Lei Liu
- College of Life Science & Biotechnology, Mianyang Normal University, Mianyang, 621000, China
| | - Jianjian Chen
- Institute of Maize and Featured Upland Crops, Zhejiang Academy of Agricultural Sciences, Hangzhou, 310004, China.
| | - Yuanyuan Zhang
- College of Life Science & Biotechnology, Mianyang Normal University, Mianyang, 621000, China.
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Liu L, Li J, Ouyang R, Zhou D, Fan C, Liang W, Li F, Lv Z, Wu X. Multimodal brain-controlled system for rehabilitation training: Combining asynchronous online brain-computer interface and exoskeleton. J Neurosci Methods 2024; 406:110132. [PMID: 38604523 DOI: 10.1016/j.jneumeth.2024.110132] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2023] [Revised: 03/11/2024] [Accepted: 04/03/2024] [Indexed: 04/13/2024]
Abstract
BACKGROUND Traditional therapist-based rehabilitation training for patients with movement impairment is laborious and expensive. In order to reduce the cost and improve the treatment effect of rehabilitation, many methods based on human-computer interaction (HCI) technology have been proposed, such as robot-assisted therapy and functional electrical stimulation (FES). However, due to the lack of active participation of brain, these methods have limited effects on the promotion of damaged nerve remodeling. NEW METHOD Based on the neurofeedback training provided by the combination of brain-computer interface (BCI) and exoskeleton, this paper proposes a multimodal brain-controlled active rehabilitation system to help improve limb function. The joint control mode of steady-state visual evoked potential (SSVEP) and motor imagery (MI) is adopted to achieve self-paced control and thus maximize the degree of brain involvement, and a requirement selection function based on SSVEP design is added to facilitate communication with aphasia patients. COMPARISON WITH EXISTING METHODS In addition, the Transformer is introduced as the MI decoder in the asynchronous online BCI to improve the global perception of electroencephalogram (EEG) signals and maintain the sensitivity and efficiency of the system. RESULTS In two multi-task online experiments for left hand, right hand, foot and idle states, subject achieves 91.25% and 92.50% best accuracy, respectively. CONCLUSION Compared with previous studies, this paper aims to establish a high-performance and low-latency brain-controlled rehabilitation system, and provide an independent and autonomous control mode of the brain, so as to improve the effect of neural remodeling. The performance of the proposed method is evaluated through offline and online experiments.
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Affiliation(s)
- Lei Liu
- School of Computer Science and Technology, Anhui University, Hefei 230601, China; Anhui Province Key Laboratory of Multimodal Cognitive Computation, Anhui University, Hefei 230601, China
| | - Jian Li
- School of Computer Science and Technology, Anhui University, Hefei 230601, China; Anhui Province Key Laboratory of Multimodal Cognitive Computation, Anhui University, Hefei 230601, China
| | - Rui Ouyang
- School of Computer Science and Technology, Anhui University, Hefei 230601, China; Anhui Province Key Laboratory of Multimodal Cognitive Computation, Anhui University, Hefei 230601, China
| | - Danya Zhou
- National Centre for International Research in Cell and Gene Therapy, School of Basic Medical Sciences, Academy of Medical Sciences, Zhengzhou University, Zhengzhou, China
| | - Cunhang Fan
- School of Computer Science and Technology, Anhui University, Hefei 230601, China; Anhui Province Key Laboratory of Multimodal Cognitive Computation, Anhui University, Hefei 230601, China.
| | - Wen Liang
- Google Inc, United States of America
| | - Fan Li
- Civil Aviation Flight University of China, China
| | - Zhao Lv
- Anhui Province Key Laboratory of Multimodal Cognitive Computation, Anhui University, Hefei 230601, China; Civil Aviation Flight University of China, China
| | - Xiaopei Wu
- School of Computer Science and Technology, Anhui University, Hefei 230601, China; Anhui Province Key Laboratory of Multimodal Cognitive Computation, Anhui University, Hefei 230601, China.
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Li Q, Li B, Xi S, Li Z, Zhu Z, Jin Z, Yang F, Liu L. Experience with aortic arch inclusion technique using artificial blood vessel for type A aortic dissection: an application study. J Cardiothorac Surg 2024; 19:189. [PMID: 38589942 PMCID: PMC11000396 DOI: 10.1186/s13019-024-02741-8] [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: 10/23/2023] [Accepted: 03/29/2024] [Indexed: 04/10/2024] Open
Abstract
BACKGROUND This study aimed to elucidate the methodology and assess the efficacy of the aortic arch inclusion technique using an artificial blood vessel in managing acute type A aortic dissection (ATAAD). METHODS We conducted a retrospective review of 18 patients (11 males and 7 females, average age: 56.2 ± 8.6 years) diagnosed with ATAAD who underwent total aortic arch replacement (TAAR) using an artificial vascular "inclusion" between June 2020 and October 2022. During the operation, deep hypothermic circulatory arrest (DHCA) and selective antegrade cerebral perfusion (ACP) of the right axillary artery were employed for brain protection. The 'inclusion' total aortic arch replacement and stented elephant trunk (SET) surgery were performed. RESULTS Four patients underwent the Bentall procedure during the study, with one additional patient requiring coronary artery bypass grafting (CABG) due to significant involvement of the right coronary orifice. Three patients died during postoperative hospitalization. Other notable complications included two cases of postoperative renal failure necessitating continuous renal replacement therapy (CRRT), one case of postoperative double lower limb paraplegia, and one case of cerebral infarction resulting in unilateral impairment of the left upper limb. Eleven patients underwent computed tomography angiography (CTA) examinations of the aorta three months to one-year post-operation. The CTA results revealed thrombosis in the false lumen surrounding the aortic arch stent in seven patients and complete thrombosis of the false lumen around the descending aortic stent in eight patients. One patient had partial thrombosis of the false lumen around the descending aortic stent, and another patient's false lumen in the thoracic and abdominal aorta completely resolved after one year of follow-up. CONCLUSIONS Incorporating vascular graft in aortic arch replacement simplifies the procedure and yields promising short-term outcomes. It achieves the aim of total arch replacement using a four-branch prosthetic graft. However, extensive sampling and thorough, prolonged follow-up observations are essential to fully evaluate the long-term results.
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Affiliation(s)
- Qingfeng Li
- Department of Carvascular Surgery, Hebei Medical University Third Hospital, Shijiazhuang, Hebei Province, China
| | - Bin Li
- Department of Carvascular Surgery, Hebei Medical University Third Hospital, Shijiazhuang, Hebei Province, China
| | - Shuqiang Xi
- Department of Carvascular Surgery, Hebei Medical University Third Hospital, Shijiazhuang, Hebei Province, China
| | - Zhaobin Li
- Department of Carvascular Surgery, Hebei Medical University Third Hospital, Shijiazhuang, Hebei Province, China
| | - Zhe Zhu
- Department of Carvascular Surgery, Hebei Medical University Third Hospital, Shijiazhuang, Hebei Province, China
| | - Zeyue Jin
- Department of Carvascular Surgery, Hebei Medical University Third Hospital, Shijiazhuang, Hebei Province, China
| | - Fan Yang
- Department of Carvascular Surgery, Hebei Medical University Third Hospital, Shijiazhuang, Hebei Province, China
| | - Lei Liu
- Department of Carvascular Surgery, Hebei Medical University Third Hospital, Shijiazhuang, Hebei Province, China.
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Xu T, Gao W, Zhu L, Chen W, Niu C, Yin W, Ma L, Zhu X, Ling Y, Gao S, Liu L, Jiao N, Chen W, Zhang G, Zhu R, Wu D. NAFLDkb: A Knowledge Base and Platform for Drug Development against Nonalcoholic Fatty Liver Disease. J Chem Inf Model 2024; 64:2817-2828. [PMID: 37167092 DOI: 10.1021/acs.jcim.3c00395] [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] [Indexed: 05/13/2023]
Abstract
Nonalcoholic fatty liver disease (NAFLD) is the most common chronic liver disease with a broad spectrum of histologic manifestations. The rapidly growing prevalence and the complex pathologic mechanisms of NAFLD pose great challenges for treatment development. Despite tremendous efforts devoted to drug development, there are no FDA-approved medicines yet. Here, we present NAFLDkb, a specialized knowledge base and platform for computer-aided drug design against NAFLD. With multiperspective information curated from diverse source materials and public databases, NAFLDkb presents the associations of drug-related entities as individual knowledge graphs. Practical drug discovery tools that facilitate the utilization and expansion of NAFLDkb have also been implemented in the web interface, including chemical structure search, drug-likeness screening, knowledge-based repositioning, and research article annotation. Moreover, case studies of a knowledge graph repositioning model and a generative neural network model are presented herein, where three repositioning drug candidates and 137 novel lead-like compounds were newly established as NAFLD pharmacotherapy options reusing data records and machine learning tools in NAFLDkb, suggesting its clinical reliability and great potential in identifying novel drug-disease associations of NAFLD and generating new insights to accelerate NAFLD drug development. NAFLDkb is freely accessible at https://www.biosino.org/nafldkb and will be updated periodically with the latest findings.
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Affiliation(s)
- Tingjun Xu
- Putuo People's Hospital, School of Life Sciences and Technology, Tongji University, Shanghai 200060, P. R. China
- Shanghai Institute of Organic Chemistry, Chinese Academy of Sciences, 345 LingLing Road, Shanghai 200032, P. R. China
| | - Wenxing Gao
- Putuo People's Hospital, School of Life Sciences and Technology, Tongji University, Shanghai 200060, P. R. China
| | - Lixin Zhu
- Guangdong Institute of Gastroenterology; Guangdong Provincial Key Laboratory of Colorectal and Pelvic Floor Diseases; Biomedical Innovation Center, Sun Yat-sen University, Guangzhou 510655, P. R. China
- Department of General Surgery, The Sixth Affiliated Hospital of Sun Yat-sen University, Guangzhou 510655, P. R. China
| | - Wanning Chen
- Putuo People's Hospital, School of Life Sciences and Technology, Tongji University, Shanghai 200060, P. R. China
| | - Chaoqun Niu
- Chinese Academy of Sciences Key Laboratory of Computational Biology, Bio-Med Big Data Center, Shanghai Institute of Nutrition and Health, University of the Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai 200031, P. R. China
| | - Wenjing Yin
- Putuo People's Hospital, School of Life Sciences and Technology, Tongji University, Shanghai 200060, P. R. China
| | - Liangxiao Ma
- Chinese Academy of Sciences Key Laboratory of Computational Biology, Bio-Med Big Data Center, Shanghai Institute of Nutrition and Health, University of the Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai 200031, P. R. China
| | - Xinyue Zhu
- Putuo People's Hospital, School of Life Sciences and Technology, Tongji University, Shanghai 200060, P. R. China
| | - Yunchao Ling
- Chinese Academy of Sciences Key Laboratory of Computational Biology, Bio-Med Big Data Center, Shanghai Institute of Nutrition and Health, University of the Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai 200031, P. R. China
| | - Sheng Gao
- Putuo People's Hospital, School of Life Sciences and Technology, Tongji University, Shanghai 200060, P. R. China
| | - Lei Liu
- Putuo People's Hospital, School of Life Sciences and Technology, Tongji University, Shanghai 200060, P. R. China
| | - Na Jiao
- National Clinical Research Center for Child Health, the Children's Hospital, Zhejiang University School of Medicine, Hangzhou 310058, Zhejiang, P. R. China
| | - Weiming Chen
- Shanghai Institute of Organic Chemistry, Chinese Academy of Sciences, 345 LingLing Road, Shanghai 200032, P. R. China
| | - Guoqing Zhang
- Chinese Academy of Sciences Key Laboratory of Computational Biology, Bio-Med Big Data Center, Shanghai Institute of Nutrition and Health, University of the Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai 200031, P. R. China
| | - Ruixin Zhu
- Putuo People's Hospital, School of Life Sciences and Technology, Tongji University, Shanghai 200060, P. R. China
| | - Dingfeng Wu
- National Clinical Research Center for Child Health, the Children's Hospital, Zhejiang University School of Medicine, Hangzhou 310058, Zhejiang, P. R. China
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Colucci M, Zumerle S, Bressan S, Gianfanti F, Troiani M, Valdata A, D'Ambrosio M, Pasquini E, Varesi A, Cogo F, Mosole S, Dongilli C, Desbats MA, Contu L, Revankdar A, Chen J, Kalathur M, Perciato ML, Basilotta R, Endre L, Schauer S, Othman A, Guccini I, Saponaro M, Maraccani L, Bancaro N, Lai P, Liu L, Pernigoni N, Mele F, Merler S, Trotman LC, Guarda G, Calì B, Montopoli M, Alimonti A. Retinoic acid receptor activation reprograms senescence response and enhances anti-tumor activity of natural killer cells. Cancer Cell 2024; 42:646-661.e9. [PMID: 38428412 PMCID: PMC11003464 DOI: 10.1016/j.ccell.2024.02.004] [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: 05/17/2023] [Revised: 12/19/2023] [Accepted: 02/07/2024] [Indexed: 03/03/2024]
Abstract
Cellular senescence can exert dual effects in tumors, either suppressing or promoting tumor progression. The senescence-associated secretory phenotype (SASP), released by senescent cells, plays a crucial role in this dichotomy. Consequently, the clinical challenge lies in developing therapies that safely enhance senescence in cancer, favoring tumor-suppressive SASP factors over tumor-promoting ones. Here, we identify the retinoic-acid-receptor (RAR) agonist adapalene as an effective pro-senescence compound in prostate cancer (PCa). Reactivation of RARs triggers a robust senescence response and a tumor-suppressive SASP. In preclinical mouse models of PCa, the combination of adapalene and docetaxel promotes a tumor-suppressive SASP that enhances natural killer (NK) cell-mediated tumor clearance more effectively than either agent alone. This approach increases the efficacy of the allogenic infusion of human NK cells in mice injected with human PCa cells, suggesting an alternative therapeutic strategy to stimulate the anti-tumor immune response in "immunologically cold" tumors.
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Affiliation(s)
- Manuel Colucci
- Institute of Oncology Research (IOR), CH6500 Bellinzona, Switzerland; Università della Svizzera Italiana, CH6900 Lugano, Switzerland; Faculty of Biology and Medicine, University of Lausanne UNIL, CH1011 Lausanne, Switzerland
| | - Sara Zumerle
- Veneto Institute of Molecular Medicine (VIMM) & Department of Medicine, University of Padova, Padova, Italy
| | - Silvia Bressan
- Institute of Oncology Research (IOR), CH6500 Bellinzona, Switzerland; Università della Svizzera Italiana, CH6900 Lugano, Switzerland; Veneto Institute of Molecular Medicine (VIMM) & Department of Pharmaceutical and Pharmacological Sciences, University of Padova, Padova, Italy
| | - Federico Gianfanti
- Institute of Oncology Research (IOR), CH6500 Bellinzona, Switzerland; Università della Svizzera Italiana, CH6900 Lugano, Switzerland; Veneto Institute of Molecular Medicine (VIMM) & Department of Pharmaceutical and Pharmacological Sciences, University of Padova, Padova, Italy
| | - Martina Troiani
- Institute of Oncology Research (IOR), CH6500 Bellinzona, Switzerland; Università della Svizzera Italiana, CH6900 Lugano, Switzerland; Bioinformatics Core Unit, Swiss Institute of Bioinformatics, TI, Bellinzona, Switzerland
| | - Aurora Valdata
- Institute of Oncology Research (IOR), CH6500 Bellinzona, Switzerland; Department of Health Sciences and Technology (D-HEST) ETH Zurich, Zurich, CH, Switzerland
| | - Mariantonietta D'Ambrosio
- Institute of Oncology Research (IOR), CH6500 Bellinzona, Switzerland; MRC London Institute of Medical Sciences (LMS), London, UK
| | - Emiliano Pasquini
- Institute of Oncology Research (IOR), CH6500 Bellinzona, Switzerland; Università della Svizzera Italiana, CH6900 Lugano, Switzerland
| | - Angelica Varesi
- Institute of Oncology Research (IOR), CH6500 Bellinzona, Switzerland; Università della Svizzera Italiana, CH6900 Lugano, Switzerland
| | - Francesca Cogo
- Institute of Oncology Research (IOR), CH6500 Bellinzona, Switzerland; Università della Svizzera Italiana, CH6900 Lugano, Switzerland
| | - Simone Mosole
- Institute of Oncology Research (IOR), CH6500 Bellinzona, Switzerland; Università della Svizzera Italiana, CH6900 Lugano, Switzerland
| | - Cristina Dongilli
- Institute of Oncology Research (IOR), CH6500 Bellinzona, Switzerland; Università della Svizzera Italiana, CH6900 Lugano, Switzerland
| | - Maria Andrea Desbats
- Veneto Institute of Molecular Medicine (VIMM) & Department of Medicine, University of Padova, Padova, Italy
| | - Liliana Contu
- Veneto Institute of Molecular Medicine (VIMM) & Department of Medicine, University of Padova, Padova, Italy
| | - Ajinkya Revankdar
- Massachusetts General Hospital Cancer Center, Harvard Medical School, Charlestown, MA 02129, USA
| | - Jingjing Chen
- Department of Cell Biology, Harvard Medical School, Boston, MA 02215, USA; Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA 02215, USA
| | - Madhuri Kalathur
- Children's GMP, LLC, St. Jude Children's Research Hospital, 262 Danny Thomas Place Mail Stop 920 Memphis, TN 38105, USA
| | - Maria Luna Perciato
- School of Clinical Dentistry, University of Sheffield, Sheffield S10 2TA, UK
| | - Rossella Basilotta
- Department of Chemical, Biological, Pharmaceutical and Environmental Sciences, University of Messina, 98166 viale Ferdinando D'Alcontres, Italy
| | - Laczko Endre
- Functional Genomics Center Zurich, ETHZ and University of Zurich, Zurich, CH, Switzerland
| | - Stefan Schauer
- Functional Genomics Center Zurich, ETHZ and University of Zurich, Zurich, CH, Switzerland
| | - Alaa Othman
- Functional Genomics Center Zurich, ETHZ and University of Zurich, Zurich, CH, Switzerland
| | - Ilaria Guccini
- Department of Health Sciences and Technology (D-HEST) ETH Zurich, Zurich, CH, Switzerland
| | - Miriam Saponaro
- Veneto Institute of Molecular Medicine (VIMM) & Department of Medicine, University of Padova, Padova, Italy
| | - Luisa Maraccani
- Institute of Oncology Research (IOR), CH6500 Bellinzona, Switzerland; Veneto Institute of Molecular Medicine (VIMM) & Department of Pharmaceutical and Pharmacological Sciences, University of Padova, Padova, Italy
| | - Nicolò Bancaro
- Institute of Oncology Research (IOR), CH6500 Bellinzona, Switzerland; Università della Svizzera Italiana, CH6900 Lugano, Switzerland
| | - Ping Lai
- Institute of Oncology Research (IOR), CH6500 Bellinzona, Switzerland; Università della Svizzera Italiana, CH6900 Lugano, Switzerland
| | - Lei Liu
- Institute of Oncology Research (IOR), CH6500 Bellinzona, Switzerland; Università della Svizzera Italiana, CH6900 Lugano, Switzerland
| | - Nicolò Pernigoni
- Institute of Oncology Research (IOR), CH6500 Bellinzona, Switzerland; Università della Svizzera Italiana, CH6900 Lugano, Switzerland
| | - Federico Mele
- Institute for Research in Biomedicine, Università della Svizzera Italiana, Bellinzona, Switzerland
| | - Sara Merler
- Section of Innovation Biomedicine - Oncology Area, Department of Engineering for Innovation Medicine, University of Verona and Verona University and Hospital Trust, Verona, Italy
| | - Lloyd C Trotman
- Cold Spring Harbor Laboratory, One Bungtown Road, Cold Spring Harbor, NY 11724, USA
| | - Greta Guarda
- Institute for Research in Biomedicine, Università della Svizzera Italiana, Bellinzona, Switzerland
| | - Bianca Calì
- Institute of Oncology Research (IOR), CH6500 Bellinzona, Switzerland; Università della Svizzera Italiana, CH6900 Lugano, Switzerland
| | - Monica Montopoli
- Veneto Institute of Molecular Medicine (VIMM) & Department of Pharmaceutical and Pharmacological Sciences, University of Padova, Padova, Italy
| | - Andrea Alimonti
- Institute of Oncology Research (IOR), CH6500 Bellinzona, Switzerland; Università della Svizzera Italiana, CH6900 Lugano, Switzerland; Veneto Institute of Molecular Medicine (VIMM) & Department of Medicine, University of Padova, Padova, Italy; Department of Health Sciences and Technology (D-HEST) ETH Zurich, Zurich, CH, Switzerland; Oncology Institute of Southern Switzerland, Ente Ospedaliero Cantonale, Bellinzona, Switzerland.
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42
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Li G, Duan S, Zheng T, Zhu T, Qu B, Liu L, Liu Z. Genetic causal relationship between immune diseases and migraine: a Mendelian randomization study. Front Immunol 2024; 15:1376698. [PMID: 38650934 PMCID: PMC11033421 DOI: 10.3389/fimmu.2024.1376698] [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: 01/26/2024] [Accepted: 03/25/2024] [Indexed: 04/25/2024] Open
Abstract
Background Migraine has an increased prevalence in several immune disorders, but genetic cause-effect relationships remain unclear. Mendelian randomization (MR) was used in this study to explore whether immune diseases are causally associated with migraine and its subtypes. Methods We conducted a two-sample bidirectional multivariate Mendelian randomization study. Single-nucleotide polymorphisms (SNP) for six immune diseases, including rheumatoid arthritis (RA), systemic lupus erythematosus (SLE), type 1 diabetes mellitus (T1D), allergic rhinitis (AR), asthma and psoriasis, were used as genetic instrumental variables. Summary statistics for migraine were obtained from 3 databases: the International Headache Genetics Consortium (IHGC), UK Biobank, and FinnGen study. MR analyses were performed per outcome database for each exposure and subsequently meta-analyzed. Reverse MR analysis was performed to determine whether migraine were risk factors for immune diseases. In addition, we conducted a genetic correlation to identify shared genetic variants for these two associations. Results No significant causal relationship was found between immune diseases and migraine and its subtypes. These results were robust with a series of sensitivity analyses. Using the linkage disequilibrium score regression method (LDSC), we detected no genetic correlation between migraine and immune diseases. Conclusion The evidence from our study does not support a causal relationship between immune diseases and migraine. The mechanisms underlying the frequent comorbidity of migraine and several immune diseases need to be further elucidated.
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Affiliation(s)
- Guanglu Li
- Graduate School of Beijing University of Chinese Medicine, Beijing, China
- Department of Neurology, China-Japan Friendship Hospital, Beijing, China
| | - Shaojie Duan
- Department of Geriatrics, Taizhou Central Hospital (Taizhou University Hospital), Taizhou, China
| | - Tao Zheng
- Graduate School of Beijing University of Chinese Medicine, Beijing, China
| | - Tiantian Zhu
- Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Baoquan Qu
- Graduate School of Beijing University of Chinese Medicine, Beijing, China
| | - Lei Liu
- Department of Neurology, China-Japan Friendship Hospital, Beijing, China
| | - Zunjing Liu
- Department of Neurology, Peking University People’s Hospital, Beijing, China
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43
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Zhang W, Liu L, Yuan G, Deng M, Cai L. Comparison of 18F-MFBG PET/CT and 18F-FDG PET/CT Images of Metastatic Neuroblastoma. Clin Nucl Med 2024:00003072-990000000-01062. [PMID: 38598743 DOI: 10.1097/rlu.0000000000005226] [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: 04/12/2024]
Abstract
ABSTRACT Two children with neuroblastoma underwent tumor resection and postoperative chemotherapy. After treatment, they participated in a clinical trial and received 18F-MFBG and 18F-FDG PET/CT examinations. Although similar lesions were found in the 2 examinations, the uptake pattern was different. The lymph nodes and bone lesions had intense 18F-MFBG activity, whereas 18F-FDG uptake was not very impressive. The uptake of bone marrow by 18F-MFBG was significantly stronger than that by 18F-FDG. This case emphasizes that 18F-MFBG PET/CT is superior to 18F-FDG PET/CT in detecting the metastases of neuroblastoma.
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Affiliation(s)
- Wenqian Zhang
- From the Department of Nuclear Medicine, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, PR China
| | - Lei Liu
- Department of Hepatobiliary Surgery, Chongqing University Three Gorges Hospital, Chongqing, PR China
| | - Gengbiao Yuan
- From the Department of Nuclear Medicine, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, PR China
| | - Maoxue Deng
- From the Department of Nuclear Medicine, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, PR China
| | - Liang Cai
- From the Department of Nuclear Medicine, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, PR China
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44
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Gu H, Meng K, Yuan R, Xiao S, Shan Y, Zhu R, Deng Y, Luo X, Li R, Liu L, Chen X, Shi Y, Wang X, Duan C, Wang H. Rewritable printing of ionic liquid nanofilm utilizing focused ion beam induced film wetting. Nat Commun 2024; 15:2949. [PMID: 38580645 PMCID: PMC10997651 DOI: 10.1038/s41467-024-47018-9] [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: 07/10/2023] [Accepted: 03/14/2024] [Indexed: 04/07/2024] Open
Abstract
Manipulating liquid flow over open solid substrate at nanoscale is important for printing, sensing, and energy devices. The predominant methods of liquid maneuvering usually involve complicated surface fabrications, while recent attempts employing external stimuli face difficulties in attaining nanoscale flow control. Here we report a largely unexplored ion beam induced film wetting (IBFW) technology for open surface nanofluidics. Local electrostatic forces, which are generated by the unique charging effect of Helium focused ion beam (HFIB), induce precursor film of ionic liquid and the disjoining pressure propels and stabilizes the nanofilm with desired patterns. The IBFW technique eliminates the complicated surface fabrication procedures to achieve nanoscale flow in a controllable and rewritable manner. By combining with electrochemical deposition, various solid materials with desired patterns can be produced.
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Affiliation(s)
- Haohao Gu
- Laboratory of Heat and Mass Transport at Micro-Nano Scale, College of Engineering, Peking University, Beijing, 100871, PR China
| | - Kaixin Meng
- Laboratory of Heat and Mass Transport at Micro-Nano Scale, College of Engineering, Peking University, Beijing, 100871, PR China
| | - Ruowei Yuan
- Laboratory of Heat and Mass Transport at Micro-Nano Scale, College of Engineering, Peking University, Beijing, 100871, PR China
| | - Siyang Xiao
- Department of Mechanical Engineering, Boston University, Boston, 02215, MA, USA
| | - Yuying Shan
- Laboratory of Heat and Mass Transport at Micro-Nano Scale, College of Engineering, Peking University, Beijing, 100871, PR China
| | - Rui Zhu
- Electron Microscopy Lab, School of Physics, Peking University, Beijing, 100871, PR China
| | - Yajun Deng
- Future Technology School, Shenzhen Technology University, Shenzhen, 518118, PR China
| | - Xiaojin Luo
- School of Materials Science and Engineering, Peking University, Beijing, 100871, PR China
| | - Ruijie Li
- School of Materials Science and Engineering, Peking University, Beijing, 100871, PR China
| | - Lei Liu
- School of Materials Science and Engineering, Peking University, Beijing, 100871, PR China
| | - Xu Chen
- Research Center of Engineering Thermophysics, North China Electric Power University, Beijing, 102206, PR China
| | - Yuping Shi
- School of Materials Science and Engineering, Peking University, Beijing, 100871, PR China
| | - Xiaodong Wang
- Research Center of Engineering Thermophysics, North China Electric Power University, Beijing, 102206, PR China
| | - Chuanhua Duan
- Department of Mechanical Engineering, Boston University, Boston, 02215, MA, USA
| | - Hao Wang
- Laboratory of Heat and Mass Transport at Micro-Nano Scale, College of Engineering, Peking University, Beijing, 100871, PR China.
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Ablikim M, Achasov MN, Adlarson P, Aliberti R, Amoroso A, An MR, An Q, Bai Y, Bakina O, Balossino I, Ban Y, Batozskaya V, Begzsuren K, Berger N, Berlowski M, Bertani M, Bettoni D, Bianchi F, Bianco E, Bloms J, Bortone A, Boyko I, Briere RA, Brueggemann A, Cai H, Cai X, Calcaterra A, Cao GF, Cao N, Cetin SA, Chang JF, Chang TT, Chang WL, Che GR, Chelkov G, Chen C, Chen C, Chen G, Chen HS, Chen ML, Chen SJ, Chen SM, Chen T, Chen XR, Chen XT, Chen YB, Chen YQ, Chen ZJ, Cheng WS, Choi SK, Chu X, Cibinetto G, Coen SC, Cossio F, Cui JJ, Dai HL, Dai JP, Dbeyssi A, de Boer RE, Dedovich D, Deng ZY, Denig A, Denysenko I, Destefanis M, De Mori F, Ding B, Ding XX, Ding Y, Ding Y, Dong J, Dong LY, Dong MY, Dong X, Du SX, Duan ZH, Egorov P, Fan YL, Fang J, Fang SS, Fang WX, Fang Y, Farinelli R, Fava L, Feldbauer F, Felici G, Feng CQ, Feng JH, Fischer K, Fritsch M, Fritzsch C, Fu CD, Fu JL, Fu YW, Gao H, Gao YN, Gao Y, Garbolino S, Garzia I, Ge PT, Ge ZW, Geng C, Gersabeck EM, Gilman A, Goetzen K, Gong L, Gong WX, Gradl W, Gramigna S, Greco M, Gu MH, Gu YT, Guan CY, Guan ZL, Guo AQ, Guo LB, Guo RP, Guo YP, Guskov A, Hou XT, Han TT, Han WY, Hao XQ, Harris FA, He KK, He KL, Heinsius FH, Heinz CH, Heng YK, Herold C, Holtmann T, Hong PC, Hou GY, Hou YR, Hou ZL, Hu HM, Hu JF, Hu T, Hu Y, Huang GS, Huang KX, Huang LQ, Huang XT, Huang YP, Hussain T, Hüsken N, Imoehl W, Irshad M, Jackson J, Jaeger S, Janchiv S, Jeong JH, Ji Q, Ji QP, Ji XB, Ji XL, Ji YY, Jia ZK, Jiang PC, Jiang SS, Jiang TJ, Jiang XS, Jiang Y, Jiao JB, Jiao Z, Jin S, Jin Y, Jing MQ, Johansson T, Kui X, Kabana S, Kalantar-Nayestanaki N, Kang XL, Kang XS, Kappert R, Kavatsyuk M, Ke BC, Khoukaz A, Kiuchi R, Kliemt R, Koch L, Kolcu OB, Kopf B, Kuessner MK, Kupsc A, Kühn W, Lane JJ, Lange JS, Larin P, Lavania A, Lavezzi L, Lei TT, Lei ZH, Leithoff H, Lellmann M, Lenz T, Li C, Li C, Li CH, Li C, Li DM, Li F, Li G, Li H, Li HB, Li HJ, Li HN, Li H, Li JR, Li JS, Li JW, Li K, Li LJ, Li LK, Li L, Li MH, Li PR, Li SX, Li T, Li WD, Li WG, Li XH, Li XL, Li X, Li YG, Li ZJ, Li ZX, Li ZY, Liang C, Liang H, Liang H, Liang H, Liang YF, Liang YT, Liao GR, Liao LZ, Libby J, Limphirat A, Lin DX, Lin T, Liu BJ, Liu BX, Liu C, Liu CX, Liu D, Liu FH, Liu F, Liu F, Liu GM, Liu H, Liu HB, Liu HM, Liu H, Liu H, Liu JB, Liu JL, Liu JY, Liu K, Liu KY, Liu K, Liu L, Liu LC, Liu L, Liu MH, Liu PL, Liu Q, Liu SB, Liu T, Liu WK, Liu WM, Liu X, Liu Y, Liu YB, Liu ZA, Liu ZQ, Lou XC, Lu FX, Lu HJ, Lu JG, Lu XL, Lu Y, Lu YP, Lu ZH, Luo CL, Luo MX, Luo T, Luo XL, Lyu XR, Lyu YF, Ma FC, Ma HL, Ma JL, Ma LL, Ma MM, Ma QM, Ma RQ, Ma RT, Ma XY, Ma Y, Ma YM, Maas FE, Maggiora M, Maldaner S, Malde S, Mangoni A, Mao YJ, Mao ZP, Marcello S, Meng ZX, Messchendorp JG, Mezzadri G, Miao H, Min TJ, Mitchell RE, Mo XH, Muchnoi NY, Nefedov Y, Nerling F, Nikolaev IB, Ning Z, Nisar S, Niu Y, Olsen SL, Ouyang Q, Pacetti S, Pan X, Pan Y, Pathak A, Patteri P, Pei YP, Pelizaeus M, Peng HP, Peters K, Ping JL, Ping RG, Plura S, Pogodin S, Prasad V, Qi FZ, Qi H, Qi HR, Qi M, Qi TY, Qian S, Qian WB, Qiao CF, Qin JJ, Qin LQ, Qin XP, Qin XS, Qin ZH, Qiu JF, Qu SQ, Redmer CF, Ren KJ, Rivetti A, Rodin V, Rolo M, Rong G, Rosner C, Ruan SN, Salone N, Sarantsev A, Schelhaas Y, Schoenning K, Scodeggio M, Shan KY, Shan W, Shan XY, Shangguan JF, Shao LG, Shao M, Shen CP, Shen HF, Shen WH, Shen XY, Shi BA, Shi HC, Shi JL, Shi JY, Shi QQ, Shi RS, Shi X, Song JJ, Song TZ, Song WM, Song YJ, Song YX, Sosio S, Spataro S, Stieler F, Su YJ, Sun GB, Sun GX, Sun H, Sun HK, Sun JF, Sun K, Sun L, Sun SS, Sun T, Sun WY, Sun Y, Sun YJ, Sun YZ, Sun ZT, Tan YX, Tang CJ, Tang GY, Tang J, Tang YA, Tao LY, Tao QT, Tat M, Teng JX, Thoren V, Tian WH, Tian WH, Tian Y, Tian ZF, Uman I, Wang B, Wang BL, Wang B, Wang CW, Wang DY, Wang F, Wang HJ, Wang HP, Wang K, Wang LL, Wang M, Wang M, Wang S, Wang S, Wang T, Wang TJ, Wang W, Wang W, Wang WH, Wang WP, Wang X, Wang XF, Wang XJ, Wang XL, Wang Y, Wang YD, Wang YF, Wang YH, Wang YN, Wang YQ, Wang Y, Wang Y, Wang Z, Wang ZL, Wang ZY, Wang Z, Wei D, Wei DH, Weidner F, Wen SP, Wenzel CW, Wiedner UW, Wilkinson G, Wolke M, Wollenberg L, Wu C, Wu JF, Wu LH, Wu LJ, Wu X, Wu XH, Wu Y, Wu YJ, Wu Z, Xia L, Xian XM, Xiang T, Xiao D, Xiao GY, Xiao H, Xiao SY, Xiao YL, Xiao ZJ, Xie C, Xie XH, Xie Y, Xie YG, Xie YH, Xie ZP, Xing TY, Xu CF, Xu CJ, Xu GF, Xu HY, Xu QJ, Xu QN, Xu W, Xu WL, Xu XP, Xu YC, Xu ZP, Xu ZS, Yan F, Yan L, Yan WB, Yan WC, Yan XQ, Yang HJ, Yang HL, Yang HX, Yang T, Yang Y, Yang YF, Yang YX, Yang Y, Yang ZW, Ye M, Ye MH, Yin JH, You ZY, Yu BX, Yu CX, Yu G, Yu JS, Yu T, Yu XD, Yuan CZ, Yuan L, Yuan SC, Yuan XQ, Yuan Y, Yuan ZY, Yue CX, Zafar AA, Zeng FR, Zeng X, Zeng Y, Zeng YJ, Zhai XY, Zhan YH, Zhang AQ, Zhang BL, Zhang BX, Zhang DH, Zhang GY, Zhang H, Zhang HH, Zhang HH, Zhang HQ, Zhang HY, Zhang JJ, Zhang JL, Zhang JQ, Zhang JW, Zhang JX, Zhang JY, Zhang JZ, Zhang J, Zhang J, Zhang LM, Zhang LQ, Zhang L, Zhang P, Zhang QY, Zhang S, Zhang S, Zhang XD, Zhang XM, Zhang XY, Zhang XY, Zhang Y, Zhang Y, Zhang YT, Zhang YH, Zhang Y, Zhang Y, Zhang ZH, Zhang ZL, Zhang ZY, Zhang ZY, Zhao G, Zhao J, Zhao JY, Zhao JZ, Zhao L, Zhao L, Zhao MG, Zhao SJ, Zhao YB, Zhao YX, Zhao ZG, Zhemchugov A, Zheng B, Zheng JP, Zheng WJ, Zheng YH, Zhong B, Zhong X, Zhou H, Zhou LP, Zhou X, Zhou XK, Zhou XR, Zhou XY, Zhou YZ, Zhu J, Zhu K, Zhu KJ, Zhu L, Zhu LX, Zhu SH, Zhu SQ, Zhu TJ, Zhu WJ, Zhu YC, Zhu ZA, Zou JH, Zu J. Study of the f_{0}(980) and f_{0}(500) Scalar Mesons through the Decay D_{s}^{+}→π^{+}π^{-}e^{+}ν_{e}. Phys Rev Lett 2024; 132:141901. [PMID: 38640399 DOI: 10.1103/physrevlett.132.141901] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/23/2023] [Revised: 11/29/2023] [Accepted: 02/28/2024] [Indexed: 04/21/2024]
Abstract
Using e^{+}e^{-} collision data corresponding to an integrated luminosity of 7.33 fb^{-1} recorded by the BESIII detector at center-of-mass energies between 4.128 and 4.226 GeV, we present an analysis of the decay D_{s}^{+}→π^{+}π^{-}e^{+}ν_{e}, where the D_{s}^{+} is produced via the process e^{+}e^{-}→D_{s}^{*±}D_{s}^{∓}. We observe the f_{0}(980) in the π^{+}π^{-} system and the branching fraction of the decay D_{s}^{+}→f_{0}(980)e^{+}ν_{e} with f_{0}(980)→π^{+}π^{-} measured to be (1.72±0.13_{stat}±0.10_{syst})×10^{-3}, where the uncertainties are statistical and systematic, respectively. The dynamics of the D_{s}^{+}→f_{0}(980)e^{+}ν_{e} decay are studied with the simple pole parametrization of the hadronic form factor and the Flatté formula describing the f_{0}(980) in the differential decay rate, and the product of the form factor f_{+}^{f_{0}}(0) and the c→s Cabibbo-Kobayashi-Maskawa matrix element |V_{cs}| is determined for the first time to be f_{+}^{f_{0}}(0)|V_{cs}|=0.504±0.017_{stat}±0.035_{syst}. Furthermore, the decay D_{s}^{+}→f_{0}(500)e^{+}ν_{e} is searched for the first time but no signal is found. The upper limit on the branching fraction of D_{s}^{+}→f_{0}(500)e^{+}ν_{e}, f_{0}(500)→π^{+}π^{-} decay is set to be 3.3×10^{-4} at 90% confidence level.
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Affiliation(s)
- M Ablikim
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - M N Achasov
- G.I. Budker Institute of Nuclear Physics SB RAS (BINP), Novosibirsk 630090, Russia
| | - P Adlarson
- Uppsala University, Box 516, SE-75120 Uppsala, Sweden
| | - R Aliberti
- Johannes Gutenberg University of Mainz, Johann-Joachim-Becher-Weg 45, D-55099 Mainz, Germany
| | - A Amoroso
- University of Turin and INFN, University of Turin, I-10125, Turin, Italy
- INFN, I-10125, Turin, Italy
| | - M R An
- Liaoning Normal University, Dalian 116029, People's Republic of China
| | - Q An
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - Y Bai
- Southeast University, Nanjing 211100, People's Republic of China
| | - O Bakina
- Joint Institute for Nuclear Research, 141980 Dubna, Moscow region, Russia
| | - I Balossino
- INFN Sezione di Ferrara, INFN Sezione di Ferrara, I-44122, Ferrara, Italy
| | - Y Ban
- Peking University, Beijing 100871, People's Republic of China
| | - V Batozskaya
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- National Centre for Nuclear Research, Warsaw 02-093, Poland
| | - K Begzsuren
- Institute of Physics and Technology, Peace Avenue 54B, Ulaanbaatar 13330, Mongolia
| | - N Berger
- Johannes Gutenberg University of Mainz, Johann-Joachim-Becher-Weg 45, D-55099 Mainz, Germany
| | - M Berlowski
- National Centre for Nuclear Research, Warsaw 02-093, Poland
| | - M Bertani
- INFN Laboratori Nazionali di Frascati, INFN Laboratori Nazionali di Frascati, I-00044, Frascati, Italy
| | - D Bettoni
- INFN Sezione di Ferrara, INFN Sezione di Ferrara, I-44122, Ferrara, Italy
| | - F Bianchi
- University of Turin and INFN, University of Turin, I-10125, Turin, Italy
- INFN, I-10125, Turin, Italy
| | - E Bianco
- University of Turin and INFN, University of Turin, I-10125, Turin, Italy
- INFN, I-10125, Turin, Italy
| | - J Bloms
- University of Muenster, Wilhelm-Klemm-Strasse 9, 48149 Muenster, Germany
| | - A Bortone
- University of Turin and INFN, University of Turin, I-10125, Turin, Italy
- INFN, I-10125, Turin, Italy
| | - I Boyko
- Joint Institute for Nuclear Research, 141980 Dubna, Moscow region, Russia
| | - R A Briere
- Carnegie Mellon University, Pittsburgh, Pennsylvania 15213, USA
| | - A Brueggemann
- University of Muenster, Wilhelm-Klemm-Strasse 9, 48149 Muenster, Germany
| | - H Cai
- Wuhan University, Wuhan 430072, People's Republic of China
| | - X Cai
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
| | - A Calcaterra
- INFN Laboratori Nazionali di Frascati, INFN Laboratori Nazionali di Frascati, I-00044, Frascati, Italy
| | - G F Cao
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - N Cao
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - S A Cetin
- Turkish Accelerator Center Particle Factory Group, Istinye University, 34010, Istanbul, Turkey
| | - J F Chang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
| | - T T Chang
- Xinyang Normal University, Xinyang 464000, People's Republic of China
| | - W L Chang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - G R Che
- Nankai University, Tianjin 300071, People's Republic of China
| | - G Chelkov
- Joint Institute for Nuclear Research, 141980 Dubna, Moscow region, Russia
| | - C Chen
- Nankai University, Tianjin 300071, People's Republic of China
| | - Chao Chen
- Soochow University, Suzhou 215006, People's Republic of China
| | - G Chen
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - H S Chen
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - M L Chen
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - S J Chen
- Nanjing University, Nanjing 210093, People's Republic of China
| | - S M Chen
- Tsinghua University, Beijing 100084, People's Republic of China
| | - T Chen
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - X R Chen
- Institute of Modern Physics, Lanzhou 730000, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - X T Chen
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - Y B Chen
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
| | - Y Q Chen
- Jilin University, Changchun 130012, People's Republic of China
| | - Z J Chen
- Hunan University, Changsha 410082, People's Republic of China
| | | | - S K Choi
- Chung-Ang University, Seoul, 06974, Republic of Korea
| | - X Chu
- Nankai University, Tianjin 300071, People's Republic of China
| | - G Cibinetto
- INFN Sezione di Ferrara, INFN Sezione di Ferrara, I-44122, Ferrara, Italy
| | - S C Coen
- Bochum Ruhr-University, D-44780 Bochum, Germany
| | | | - J J Cui
- Shandong University, Jinan 250100, People's Republic of China
| | - H L Dai
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
| | - J P Dai
- Yunnan University, Kunming 650500, People's Republic of China
| | - A Dbeyssi
- Helmholtz Institute Mainz, Staudinger Weg 18, D-55099 Mainz, Germany
| | - R E de Boer
- Bochum Ruhr-University, D-44780 Bochum, Germany
| | - D Dedovich
- Joint Institute for Nuclear Research, 141980 Dubna, Moscow region, Russia
| | - Z Y Deng
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - A Denig
- Johannes Gutenberg University of Mainz, Johann-Joachim-Becher-Weg 45, D-55099 Mainz, Germany
| | - I Denysenko
- Joint Institute for Nuclear Research, 141980 Dubna, Moscow region, Russia
| | - M Destefanis
- University of Turin and INFN, University of Turin, I-10125, Turin, Italy
- INFN, I-10125, Turin, Italy
| | - F De Mori
- University of Turin and INFN, University of Turin, I-10125, Turin, Italy
- INFN, I-10125, Turin, Italy
| | - B Ding
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Jinan, Jinan 250022, People's Republic of China
| | - X X Ding
- Peking University, Beijing 100871, People's Republic of China
| | - Y Ding
- Jilin University, Changchun 130012, People's Republic of China
| | - Y Ding
- Liaoning University, Shenyang 110036, People's Republic of China
| | - J Dong
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
| | - L Y Dong
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - M Y Dong
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - X Dong
- Wuhan University, Wuhan 430072, People's Republic of China
| | - S X Du
- Zhengzhou University, Zhengzhou 450001, People's Republic of China
| | - Z H Duan
- Nanjing University, Nanjing 210093, People's Republic of China
| | - P Egorov
- Joint Institute for Nuclear Research, 141980 Dubna, Moscow region, Russia
| | - Y L Fan
- Wuhan University, Wuhan 430072, People's Republic of China
| | - J Fang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
| | - S S Fang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - W X Fang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - Y Fang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - R Farinelli
- INFN Sezione di Ferrara, INFN Sezione di Ferrara, I-44122, Ferrara, Italy
| | - L Fava
- University of Eastern Piedmont, I-15121, Alessandria, Italy
- INFN, I-10125, Turin, Italy
| | - F Feldbauer
- Bochum Ruhr-University, D-44780 Bochum, Germany
| | - G Felici
- INFN Laboratori Nazionali di Frascati, INFN Laboratori Nazionali di Frascati, I-00044, Frascati, Italy
| | - C Q Feng
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - J H Feng
- Sun Yat-Sen University, Guangzhou 510275, People's Republic of China
| | - K Fischer
- University of Oxford, Keble Road, Oxford OX13RH, United Kingdom
| | - M Fritsch
- Bochum Ruhr-University, D-44780 Bochum, Germany
| | - C Fritzsch
- University of Muenster, Wilhelm-Klemm-Strasse 9, 48149 Muenster, Germany
| | - C D Fu
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - J L Fu
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - Y W Fu
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - H Gao
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - Y N Gao
- Peking University, Beijing 100871, People's Republic of China
| | - Yang Gao
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | | | - I Garzia
- INFN Sezione di Ferrara, INFN Sezione di Ferrara, I-44122, Ferrara, Italy
- University of Ferrara, I-44122, Ferrara, Italy
| | - P T Ge
- Wuhan University, Wuhan 430072, People's Republic of China
| | - Z W Ge
- Nanjing University, Nanjing 210093, People's Republic of China
| | - C Geng
- Sun Yat-Sen University, Guangzhou 510275, People's Republic of China
| | - E M Gersabeck
- University of Manchester, Oxford Road, Manchester M13 9PL, United Kingdom
| | - A Gilman
- University of Oxford, Keble Road, Oxford OX13RH, United Kingdom
| | - K Goetzen
- GSI Helmholtzcentre for Heavy Ion Research GmbH, D-64291 Darmstadt, Germany
| | - L Gong
- Liaoning University, Shenyang 110036, People's Republic of China
| | - W X Gong
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
| | - W Gradl
- Johannes Gutenberg University of Mainz, Johann-Joachim-Becher-Weg 45, D-55099 Mainz, Germany
| | - S Gramigna
- INFN Sezione di Ferrara, INFN Sezione di Ferrara, I-44122, Ferrara, Italy
- University of Ferrara, I-44122, Ferrara, Italy
| | - M Greco
- University of Turin and INFN, University of Turin, I-10125, Turin, Italy
- INFN, I-10125, Turin, Italy
| | - M H Gu
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
| | - Y T Gu
- Guangxi University, Nanning 530004, People's Republic of China
| | - C Y Guan
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - Z L Guan
- Henan University of Technology, Zhengzhou 450001, People's Republic of China
| | - A Q Guo
- Institute of Modern Physics, Lanzhou 730000, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - L B Guo
- Nanjing Normal University, Nanjing 210023, People's Republic of China
| | - R P Guo
- Shandong Normal University, Jinan 250014, People's Republic of China
| | - Y P Guo
- Fudan University, Shanghai 200433, People's Republic of China
| | - A Guskov
- Joint Institute for Nuclear Research, 141980 Dubna, Moscow region, Russia
| | - X T Hou
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - T T Han
- Shandong University, Jinan 250100, People's Republic of China
| | - W Y Han
- Liaoning Normal University, Dalian 116029, People's Republic of China
| | - X Q Hao
- Henan Normal University, Xinxiang 453007, People's Republic of China
| | - F A Harris
- University of Hawaii, Honolulu, Hawaii 96822, USA
| | - K K He
- Soochow University, Suzhou 215006, People's Republic of China
| | - K L He
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | | | - C H Heinz
- Johannes Gutenberg University of Mainz, Johann-Joachim-Becher-Weg 45, D-55099 Mainz, Germany
| | - Y K Heng
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - C Herold
- Suranaree University of Technology, University Avenue 111, Nakhon Ratchasima 30000, Thailand
| | - T Holtmann
- Bochum Ruhr-University, D-44780 Bochum, Germany
| | - P C Hong
- Fudan University, Shanghai 200433, People's Republic of China
| | - G Y Hou
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - Y R Hou
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - Z L Hou
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - H M Hu
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - J F Hu
- South China Normal University, Guangzhou 510006, People's Republic of China
| | - T Hu
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - Y Hu
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - G S Huang
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - K X Huang
- Sun Yat-Sen University, Guangzhou 510275, People's Republic of China
| | - L Q Huang
- Institute of Modern Physics, Lanzhou 730000, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - X T Huang
- Shandong University, Jinan 250100, People's Republic of China
| | - Y P Huang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - T Hussain
- University of the Punjab, Lahore-54590, Pakistan
| | - N Hüsken
- Indiana University, Bloomington, Indiana 47405, USA
- Johannes Gutenberg University of Mainz, Johann-Joachim-Becher-Weg 45, D-55099 Mainz, Germany
| | - W Imoehl
- Indiana University, Bloomington, Indiana 47405, USA
| | - M Irshad
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - J Jackson
- Indiana University, Bloomington, Indiana 47405, USA
| | - S Jaeger
- Bochum Ruhr-University, D-44780 Bochum, Germany
| | - S Janchiv
- Institute of Physics and Technology, Peace Avenue 54B, Ulaanbaatar 13330, Mongolia
| | - J H Jeong
- Chung-Ang University, Seoul, 06974, Republic of Korea
| | - Q Ji
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - Q P Ji
- Henan Normal University, Xinxiang 453007, People's Republic of China
| | - X B Ji
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - X L Ji
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
| | - Y Y Ji
- Shandong University, Jinan 250100, People's Republic of China
| | - Z K Jia
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - P C Jiang
- Peking University, Beijing 100871, People's Republic of China
| | - S S Jiang
- Liaoning Normal University, Dalian 116029, People's Republic of China
| | - T J Jiang
- Hangzhou Normal University, Hangzhou 310036, People's Republic of China
| | - X S Jiang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - Y Jiang
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - J B Jiao
- Shandong University, Jinan 250100, People's Republic of China
| | - Z Jiao
- Huangshan College, Huangshan 245000, People's Republic of China
| | - S Jin
- Nanjing University, Nanjing 210093, People's Republic of China
| | - Y Jin
- University of Jinan, Jinan 250022, People's Republic of China
| | - M Q Jing
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - T Johansson
- Uppsala University, Box 516, SE-75120 Uppsala, Sweden
| | - X Kui
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - S Kabana
- Instituto de Alta Investigación, Universidad de Tarapacá, Casilla 7D, Arica, Chile
| | | | - X L Kang
- China University of Geosciences, Wuhan 430074, People's Republic of China
| | - X S Kang
- Liaoning University, Shenyang 110036, People's Republic of China
| | - R Kappert
- University of Groningen, NL-9747 AA Groningen, The Netherlands
| | - M Kavatsyuk
- University of Groningen, NL-9747 AA Groningen, The Netherlands
| | - B C Ke
- Zhengzhou University, Zhengzhou 450001, People's Republic of China
| | - A Khoukaz
- University of Muenster, Wilhelm-Klemm-Strasse 9, 48149 Muenster, Germany
| | - R Kiuchi
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - R Kliemt
- GSI Helmholtzcentre for Heavy Ion Research GmbH, D-64291 Darmstadt, Germany
| | - L Koch
- Justus-Liebig-Universitaet Giessen, II. Physikalisches Institut, Heinrich-Buff-Ring 16, D-35392 Giessen, Germany
| | - O B Kolcu
- Turkish Accelerator Center Particle Factory Group, Istinye University, 34010, Istanbul, Turkey
| | - B Kopf
- Bochum Ruhr-University, D-44780 Bochum, Germany
| | | | - A Kupsc
- National Centre for Nuclear Research, Warsaw 02-093, Poland
- Uppsala University, Box 516, SE-75120 Uppsala, Sweden
| | - W Kühn
- Justus-Liebig-Universitaet Giessen, II. Physikalisches Institut, Heinrich-Buff-Ring 16, D-35392 Giessen, Germany
| | - J J Lane
- University of Manchester, Oxford Road, Manchester M13 9PL, United Kingdom
| | - J S Lange
- Justus-Liebig-Universitaet Giessen, II. Physikalisches Institut, Heinrich-Buff-Ring 16, D-35392 Giessen, Germany
| | - P Larin
- Helmholtz Institute Mainz, Staudinger Weg 18, D-55099 Mainz, Germany
| | - A Lavania
- Indian Institute of Technology Madras, Chennai 600036, India
| | - L Lavezzi
- University of Turin and INFN, University of Turin, I-10125, Turin, Italy
- INFN, I-10125, Turin, Italy
| | - T T Lei
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - Z H Lei
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - H Leithoff
- Johannes Gutenberg University of Mainz, Johann-Joachim-Becher-Weg 45, D-55099 Mainz, Germany
| | - M Lellmann
- Johannes Gutenberg University of Mainz, Johann-Joachim-Becher-Weg 45, D-55099 Mainz, Germany
| | - T Lenz
- Johannes Gutenberg University of Mainz, Johann-Joachim-Becher-Weg 45, D-55099 Mainz, Germany
| | - C Li
- Qufu Normal University, Qufu 273165, People's Republic of China
| | - C Li
- Nankai University, Tianjin 300071, People's Republic of China
| | - C H Li
- Liaoning Normal University, Dalian 116029, People's Republic of China
| | - Cheng Li
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - D M Li
- Zhengzhou University, Zhengzhou 450001, People's Republic of China
| | - F Li
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
| | - G Li
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - H Li
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - H B Li
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - H J Li
- Henan Normal University, Xinxiang 453007, People's Republic of China
| | - H N Li
- South China Normal University, Guangzhou 510006, People's Republic of China
| | - Hui Li
- Nankai University, Tianjin 300071, People's Republic of China
| | - J R Li
- Tsinghua University, Beijing 100084, People's Republic of China
| | - J S Li
- Sun Yat-Sen University, Guangzhou 510275, People's Republic of China
| | - J W Li
- Shandong University, Jinan 250100, People's Republic of China
| | - Ke Li
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - L J Li
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - L K Li
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - Lei Li
- Beijing Institute of Petrochemical Technology, Beijing 102617, People's Republic of China
| | - M H Li
- Nankai University, Tianjin 300071, People's Republic of China
| | - P R Li
- Lanzhou University, Lanzhou 730000, People's Republic of China
| | - S X Li
- Fudan University, Shanghai 200433, People's Republic of China
| | - T Li
- Shandong University, Jinan 250100, People's Republic of China
| | - W D Li
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - W G Li
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - X H Li
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - X L Li
- Shandong University, Jinan 250100, People's Republic of China
| | - Xiaoyu Li
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - Y G Li
- Peking University, Beijing 100871, People's Republic of China
| | - Z J Li
- Sun Yat-Sen University, Guangzhou 510275, People's Republic of China
| | - Z X Li
- Guangxi University, Nanning 530004, People's Republic of China
| | - Z Y Li
- Sun Yat-Sen University, Guangzhou 510275, People's Republic of China
| | - C Liang
- Nanjing University, Nanjing 210093, People's Republic of China
| | - H Liang
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - H Liang
- Jilin University, Changchun 130012, People's Republic of China
| | - H Liang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - Y F Liang
- Sichuan University, Chengdu 610064, People's Republic of China
| | - Y T Liang
- Institute of Modern Physics, Lanzhou 730000, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - G R Liao
- Guangxi Normal University, Guilin 541004, People's Republic of China
| | - L Z Liao
- Shandong University, Jinan 250100, People's Republic of China
| | - J Libby
- Indian Institute of Technology Madras, Chennai 600036, India
| | - A Limphirat
- Suranaree University of Technology, University Avenue 111, Nakhon Ratchasima 30000, Thailand
| | - D X Lin
- Institute of Modern Physics, Lanzhou 730000, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - T Lin
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - B J Liu
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - B X Liu
- Wuhan University, Wuhan 430072, People's Republic of China
| | - C Liu
- Jilin University, Changchun 130012, People's Republic of China
| | - C X Liu
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - D Liu
- Helmholtz Institute Mainz, Staudinger Weg 18, D-55099 Mainz, Germany
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - F H Liu
- Shanxi University, Taiyuan 030006, People's Republic of China
| | - Fang Liu
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - Feng Liu
- Central China Normal University, Wuhan 430079, People's Republic of China
| | - G M Liu
- South China Normal University, Guangzhou 510006, People's Republic of China
| | - H Liu
- Lanzhou University, Lanzhou 730000, People's Republic of China
| | - H B Liu
- Guangxi University, Nanning 530004, People's Republic of China
| | - H M Liu
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - Huanhuan Liu
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - Huihui Liu
- Henan University of Science and Technology, Luoyang 471003, People's Republic of China
| | - J B Liu
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - J L Liu
- University of South China, Hengyang 421001, People's Republic of China
| | - J Y Liu
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - K Liu
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - K Y Liu
- Liaoning University, Shenyang 110036, People's Republic of China
| | - Ke Liu
- Henan University of Technology, Zhengzhou 450001, People's Republic of China
| | - L Liu
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - L C Liu
- Nankai University, Tianjin 300071, People's Republic of China
| | - Lu Liu
- Nankai University, Tianjin 300071, People's Republic of China
| | - M H Liu
- Fudan University, Shanghai 200433, People's Republic of China
| | - P L Liu
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - Q Liu
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - S B Liu
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - T Liu
- Fudan University, Shanghai 200433, People's Republic of China
| | - W K Liu
- Nankai University, Tianjin 300071, People's Republic of China
| | - W M Liu
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - X Liu
- Lanzhou University, Lanzhou 730000, People's Republic of China
| | - Y Liu
- Lanzhou University, Lanzhou 730000, People's Republic of China
| | - Y B Liu
- Nankai University, Tianjin 300071, People's Republic of China
| | - Z A Liu
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - Z Q Liu
- Shandong University, Jinan 250100, People's Republic of China
| | - X C Lou
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - F X Lu
- Sun Yat-Sen University, Guangzhou 510275, People's Republic of China
| | - H J Lu
- Huangshan College, Huangshan 245000, People's Republic of China
| | - J G Lu
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
| | - X L Lu
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - Y Lu
- Central South University, Changsha 410083, People's Republic of China
| | - Y P Lu
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
| | - Z H Lu
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - C L Luo
- Nanjing Normal University, Nanjing 210023, People's Republic of China
| | - M X Luo
- Zhejiang University, Hangzhou 310027, People's Republic of China
| | - T Luo
- Fudan University, Shanghai 200433, People's Republic of China
| | - X L Luo
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
| | - X R Lyu
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - Y F Lyu
- Nankai University, Tianjin 300071, People's Republic of China
| | - F C Ma
- Liaoning University, Shenyang 110036, People's Republic of China
| | - H L Ma
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - J L Ma
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - L L Ma
- Shandong University, Jinan 250100, People's Republic of China
| | - M M Ma
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - Q M Ma
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - R Q Ma
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - R T Ma
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - X Y Ma
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
| | - Y Ma
- Peking University, Beijing 100871, People's Republic of China
| | - Y M Ma
- Institute of Modern Physics, Lanzhou 730000, People's Republic of China
| | - F E Maas
- Helmholtz Institute Mainz, Staudinger Weg 18, D-55099 Mainz, Germany
| | - M Maggiora
- University of Turin and INFN, University of Turin, I-10125, Turin, Italy
- INFN, I-10125, Turin, Italy
| | - S Maldaner
- Bochum Ruhr-University, D-44780 Bochum, Germany
| | - S Malde
- University of Oxford, Keble Road, Oxford OX13RH, United Kingdom
| | - A Mangoni
- INFN Sezione di Perugia, I-06100, Perugia, Italy
| | - Y J Mao
- Peking University, Beijing 100871, People's Republic of China
| | - Z P Mao
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - S Marcello
- University of Turin and INFN, University of Turin, I-10125, Turin, Italy
- INFN, I-10125, Turin, Italy
| | - Z X Meng
- University of Jinan, Jinan 250022, People's Republic of China
| | - J G Messchendorp
- GSI Helmholtzcentre for Heavy Ion Research GmbH, D-64291 Darmstadt, Germany
- University of Groningen, NL-9747 AA Groningen, The Netherlands
| | - G Mezzadri
- INFN Sezione di Ferrara, INFN Sezione di Ferrara, I-44122, Ferrara, Italy
| | - H Miao
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - T J Min
- Nanjing University, Nanjing 210093, People's Republic of China
| | - R E Mitchell
- Indiana University, Bloomington, Indiana 47405, USA
| | - X H Mo
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - N Yu Muchnoi
- G.I. Budker Institute of Nuclear Physics SB RAS (BINP), Novosibirsk 630090, Russia
| | - Y Nefedov
- Joint Institute for Nuclear Research, 141980 Dubna, Moscow region, Russia
| | - F Nerling
- Helmholtz Institute Mainz, Staudinger Weg 18, D-55099 Mainz, Germany
| | - I B Nikolaev
- G.I. Budker Institute of Nuclear Physics SB RAS (BINP), Novosibirsk 630090, Russia
| | - Z Ning
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
| | - S Nisar
- COMSATS University Islamabad, Lahore Campus, Defence Road, Off Raiwind Road, 54000 Lahore, Pakistan
| | - Y Niu
- Shandong University, Jinan 250100, People's Republic of China
| | - S L Olsen
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - Q Ouyang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - S Pacetti
- INFN Sezione di Perugia, I-06100, Perugia, Italy
- University of Perugia, I-06100, Perugia, Italy
| | - X Pan
- Soochow University, Suzhou 215006, People's Republic of China
| | - Y Pan
- Southeast University, Nanjing 211100, People's Republic of China
| | - A Pathak
- Jilin University, Changchun 130012, People's Republic of China
| | - P Patteri
- INFN Laboratori Nazionali di Frascati, INFN Laboratori Nazionali di Frascati, I-00044, Frascati, Italy
| | - Y P Pei
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - M Pelizaeus
- Bochum Ruhr-University, D-44780 Bochum, Germany
| | - H P Peng
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - K Peters
- GSI Helmholtzcentre for Heavy Ion Research GmbH, D-64291 Darmstadt, Germany
| | - J L Ping
- Nanjing Normal University, Nanjing 210023, People's Republic of China
| | - R G Ping
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - S Plura
- Johannes Gutenberg University of Mainz, Johann-Joachim-Becher-Weg 45, D-55099 Mainz, Germany
| | - S Pogodin
- Joint Institute for Nuclear Research, 141980 Dubna, Moscow region, Russia
| | - V Prasad
- Instituto de Alta Investigación, Universidad de Tarapacá, Casilla 7D, Arica, Chile
| | - F Z Qi
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - H Qi
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - H R Qi
- Tsinghua University, Beijing 100084, People's Republic of China
| | - M Qi
- Nanjing University, Nanjing 210093, People's Republic of China
| | - T Y Qi
- Fudan University, Shanghai 200433, People's Republic of China
| | - S Qian
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
| | - W B Qian
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - C F Qiao
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - J J Qin
- University of South China, Hengyang 421001, People's Republic of China
| | - L Q Qin
- Guangxi Normal University, Guilin 541004, People's Republic of China
| | - X P Qin
- Fudan University, Shanghai 200433, People's Republic of China
| | - X S Qin
- Shandong University, Jinan 250100, People's Republic of China
| | - Z H Qin
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
| | - J F Qiu
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - S Q Qu
- Tsinghua University, Beijing 100084, People's Republic of China
| | - C F Redmer
- Johannes Gutenberg University of Mainz, Johann-Joachim-Becher-Weg 45, D-55099 Mainz, Germany
| | - K J Ren
- Liaoning Normal University, Dalian 116029, People's Republic of China
| | | | - V Rodin
- University of Groningen, NL-9747 AA Groningen, The Netherlands
| | - M Rolo
- INFN, I-10125, Turin, Italy
| | - G Rong
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - Ch Rosner
- Helmholtz Institute Mainz, Staudinger Weg 18, D-55099 Mainz, Germany
| | - S N Ruan
- Nankai University, Tianjin 300071, People's Republic of China
| | - N Salone
- National Centre for Nuclear Research, Warsaw 02-093, Poland
| | - A Sarantsev
- Joint Institute for Nuclear Research, 141980 Dubna, Moscow region, Russia
| | - Y Schelhaas
- Johannes Gutenberg University of Mainz, Johann-Joachim-Becher-Weg 45, D-55099 Mainz, Germany
| | - K Schoenning
- Uppsala University, Box 516, SE-75120 Uppsala, Sweden
| | - M Scodeggio
- INFN Sezione di Ferrara, INFN Sezione di Ferrara, I-44122, Ferrara, Italy
- University of Ferrara, I-44122, Ferrara, Italy
| | - K Y Shan
- Fudan University, Shanghai 200433, People's Republic of China
| | - W Shan
- Hunan Normal University, Changsha 410081, People's Republic of China
| | - X Y Shan
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - J F Shangguan
- Soochow University, Suzhou 215006, People's Republic of China
| | - L G Shao
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - M Shao
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - C P Shen
- Fudan University, Shanghai 200433, People's Republic of China
| | - H F Shen
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - W H Shen
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - X Y Shen
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - B A Shi
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - H C Shi
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - J L Shi
- Fudan University, Shanghai 200433, People's Republic of China
| | - J Y Shi
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - Q Q Shi
- Soochow University, Suzhou 215006, People's Republic of China
| | - R S Shi
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - X Shi
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
| | - J J Song
- Henan Normal University, Xinxiang 453007, People's Republic of China
| | - T Z Song
- Sun Yat-Sen University, Guangzhou 510275, People's Republic of China
| | - W M Song
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- Jilin University, Changchun 130012, People's Republic of China
| | - Y J Song
- Fudan University, Shanghai 200433, People's Republic of China
| | - Y X Song
- Peking University, Beijing 100871, People's Republic of China
| | - S Sosio
- University of Turin and INFN, University of Turin, I-10125, Turin, Italy
- INFN, I-10125, Turin, Italy
| | - S Spataro
- University of Turin and INFN, University of Turin, I-10125, Turin, Italy
- INFN, I-10125, Turin, Italy
| | - F Stieler
- Johannes Gutenberg University of Mainz, Johann-Joachim-Becher-Weg 45, D-55099 Mainz, Germany
| | - Y J Su
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - G B Sun
- Wuhan University, Wuhan 430072, People's Republic of China
| | - G X Sun
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - H Sun
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - H K Sun
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - J F Sun
- Henan Normal University, Xinxiang 453007, People's Republic of China
| | - K Sun
- Tsinghua University, Beijing 100084, People's Republic of China
| | - L Sun
- Wuhan University, Wuhan 430072, People's Republic of China
| | - S S Sun
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - T Sun
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - W Y Sun
- Jilin University, Changchun 130012, People's Republic of China
| | - Y Sun
- China University of Geosciences, Wuhan 430074, People's Republic of China
| | - Y J Sun
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - Y Z Sun
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - Z T Sun
- Shandong University, Jinan 250100, People's Republic of China
| | - Y X Tan
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - C J Tang
- Sichuan University, Chengdu 610064, People's Republic of China
| | - G Y Tang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - J Tang
- Sun Yat-Sen University, Guangzhou 510275, People's Republic of China
| | - Y A Tang
- Wuhan University, Wuhan 430072, People's Republic of China
| | - L Y Tao
- University of South China, Hengyang 421001, People's Republic of China
| | - Q T Tao
- Hunan University, Changsha 410082, People's Republic of China
| | - M Tat
- University of Oxford, Keble Road, Oxford OX13RH, United Kingdom
| | - J X Teng
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - V Thoren
- Uppsala University, Box 516, SE-75120 Uppsala, Sweden
| | - W H Tian
- Sun Yat-Sen University, Guangzhou 510275, People's Republic of China
| | - W H Tian
- Shanxi Normal University, Linfen 041004, People's Republic of China
| | - Y Tian
- Institute of Modern Physics, Lanzhou 730000, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - Z F Tian
- Wuhan University, Wuhan 430072, People's Republic of China
| | - I Uman
- Near East University, Nicosia, North Cyprus, 99138, Mersin 10, Turkey
| | - B Wang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - B L Wang
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - Bo Wang
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - C W Wang
- Nanjing University, Nanjing 210093, People's Republic of China
| | - D Y Wang
- Peking University, Beijing 100871, People's Republic of China
| | - F Wang
- University of South China, Hengyang 421001, People's Republic of China
| | - H J Wang
- Lanzhou University, Lanzhou 730000, People's Republic of China
| | - H P Wang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - K Wang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
| | - L L Wang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - M Wang
- Shandong University, Jinan 250100, People's Republic of China
| | - Meng Wang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - S Wang
- Fudan University, Shanghai 200433, People's Republic of China
| | - S Wang
- Lanzhou University, Lanzhou 730000, People's Republic of China
| | - T Wang
- Fudan University, Shanghai 200433, People's Republic of China
| | - T J Wang
- Nankai University, Tianjin 300071, People's Republic of China
| | - W Wang
- Sun Yat-Sen University, Guangzhou 510275, People's Republic of China
| | - W Wang
- University of South China, Hengyang 421001, People's Republic of China
| | - W H Wang
- Wuhan University, Wuhan 430072, People's Republic of China
| | - W P Wang
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - X Wang
- Peking University, Beijing 100871, People's Republic of China
| | - X F Wang
- Lanzhou University, Lanzhou 730000, People's Republic of China
| | - X J Wang
- Liaoning Normal University, Dalian 116029, People's Republic of China
| | - X L Wang
- Fudan University, Shanghai 200433, People's Republic of China
| | - Y Wang
- Tsinghua University, Beijing 100084, People's Republic of China
| | - Y D Wang
- North China Electric Power University, Beijing 102206, People's Republic of China
| | - Y F Wang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - Y H Wang
- Qufu Normal University, Qufu 273165, People's Republic of China
| | - Y N Wang
- North China Electric Power University, Beijing 102206, People's Republic of China
| | - Y Q Wang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - Yaqian Wang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- Hebei University, Baoding 071002, People's Republic of China
| | - Yi Wang
- Tsinghua University, Beijing 100084, People's Republic of China
| | - Z Wang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
| | - Z L Wang
- University of South China, Hengyang 421001, People's Republic of China
| | - Z Y Wang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - Ziyi Wang
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - D Wei
- University of Science and Technology Liaoning, Anshan 114051, People's Republic of China
| | - D H Wei
- Guangxi Normal University, Guilin 541004, People's Republic of China
| | - F Weidner
- University of Muenster, Wilhelm-Klemm-Strasse 9, 48149 Muenster, Germany
| | - S P Wen
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - C W Wenzel
- Bochum Ruhr-University, D-44780 Bochum, Germany
| | - U W Wiedner
- Bochum Ruhr-University, D-44780 Bochum, Germany
| | - G Wilkinson
- University of Oxford, Keble Road, Oxford OX13RH, United Kingdom
| | - M Wolke
- Uppsala University, Box 516, SE-75120 Uppsala, Sweden
| | | | - C Wu
- Liaoning Normal University, Dalian 116029, People's Republic of China
| | - J F Wu
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - L H Wu
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - L J Wu
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - X Wu
- Fudan University, Shanghai 200433, People's Republic of China
| | - X H Wu
- Jilin University, Changchun 130012, People's Republic of China
| | - Y Wu
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - Y J Wu
- Institute of Modern Physics, Lanzhou 730000, People's Republic of China
| | - Z Wu
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
| | - L Xia
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - X M Xian
- Liaoning Normal University, Dalian 116029, People's Republic of China
| | - T Xiang
- Peking University, Beijing 100871, People's Republic of China
| | - D Xiao
- Lanzhou University, Lanzhou 730000, People's Republic of China
| | - G Y Xiao
- Nanjing University, Nanjing 210093, People's Republic of China
| | - H Xiao
- Fudan University, Shanghai 200433, People's Republic of China
| | - S Y Xiao
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - Y L Xiao
- Fudan University, Shanghai 200433, People's Republic of China
| | - Z J Xiao
- Nanjing Normal University, Nanjing 210023, People's Republic of China
| | - C Xie
- Nanjing University, Nanjing 210093, People's Republic of China
| | - X H Xie
- Peking University, Beijing 100871, People's Republic of China
| | - Y Xie
- Shandong University, Jinan 250100, People's Republic of China
| | - Y G Xie
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
| | - Y H Xie
- Central China Normal University, Wuhan 430079, People's Republic of China
| | - Z P Xie
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - T Y Xing
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - C F Xu
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - C J Xu
- Sun Yat-Sen University, Guangzhou 510275, People's Republic of China
| | - G F Xu
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - H Y Xu
- University of Jinan, Jinan 250022, People's Republic of China
| | - Q J Xu
- Hangzhou Normal University, Hangzhou 310036, People's Republic of China
| | - Q N Xu
- Inner Mongolia University, Hohhot 010021, People's Republic of China
| | - W Xu
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - W L Xu
- University of Jinan, Jinan 250022, People's Republic of China
| | - X P Xu
- Soochow University, Suzhou 215006, People's Republic of China
| | - Y C Xu
- Yantai University, Yantai 264005, People's Republic of China
| | - Z P Xu
- Nanjing University, Nanjing 210093, People's Republic of China
| | - Z S Xu
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - F Yan
- Fudan University, Shanghai 200433, People's Republic of China
| | - L Yan
- Fudan University, Shanghai 200433, People's Republic of China
| | - W B Yan
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - W C Yan
- Zhengzhou University, Zhengzhou 450001, People's Republic of China
| | - X Q Yan
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - H J Yang
- Shanghai Jiao Tong University, Shanghai 200240, People's Republic of China
| | - H L Yang
- Jilin University, Changchun 130012, People's Republic of China
| | - H X Yang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - Tao Yang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - Y Yang
- Fudan University, Shanghai 200433, People's Republic of China
| | - Y F Yang
- Nankai University, Tianjin 300071, People's Republic of China
| | - Y X Yang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - Yifan Yang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - Z W Yang
- Lanzhou University, Lanzhou 730000, People's Republic of China
| | - M Ye
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
| | - M H Ye
- China Center of Advanced Science and Technology, Beijing 100190, People's Republic of China
| | - J H Yin
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - Z Y You
- Sun Yat-Sen University, Guangzhou 510275, People's Republic of China
| | - B X Yu
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - C X Yu
- Nankai University, Tianjin 300071, People's Republic of China
| | - G Yu
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - J S Yu
- Hunan University, Changsha 410082, People's Republic of China
| | - T Yu
- University of South China, Hengyang 421001, People's Republic of China
| | - X D Yu
- Peking University, Beijing 100871, People's Republic of China
| | - C Z Yuan
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - L Yuan
- Beihang University, Beijing 100191, People's Republic of China
| | - S C Yuan
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - X Q Yuan
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - Y Yuan
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - Z Y Yuan
- Sun Yat-Sen University, Guangzhou 510275, People's Republic of China
| | - C X Yue
- Liaoning Normal University, Dalian 116029, People's Republic of China
| | - A A Zafar
- University of the Punjab, Lahore-54590, Pakistan
| | - F R Zeng
- Shandong University, Jinan 250100, People's Republic of China
| | - X Zeng
- Fudan University, Shanghai 200433, People's Republic of China
| | - Y Zeng
- Hunan University, Changsha 410082, People's Republic of China
| | - Y J Zeng
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - X Y Zhai
- Jilin University, Changchun 130012, People's Republic of China
| | - Y H Zhan
- Sun Yat-Sen University, Guangzhou 510275, People's Republic of China
| | - A Q Zhang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - B L Zhang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - B X Zhang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - D H Zhang
- Nankai University, Tianjin 300071, People's Republic of China
| | - G Y Zhang
- Henan Normal University, Xinxiang 453007, People's Republic of China
| | - H Zhang
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - H H Zhang
- Sun Yat-Sen University, Guangzhou 510275, People's Republic of China
| | - H H Zhang
- Jilin University, Changchun 130012, People's Republic of China
| | - H Q Zhang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - H Y Zhang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
| | - J J Zhang
- Shanxi Normal University, Linfen 041004, People's Republic of China
| | - J L Zhang
- Henan University, Kaifeng 475004, People's Republic of China
| | - J Q Zhang
- Nanjing Normal University, Nanjing 210023, People's Republic of China
| | - J W Zhang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - J X Zhang
- Lanzhou University, Lanzhou 730000, People's Republic of China
| | - J Y Zhang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - J Z Zhang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - Jianyu Zhang
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - Jiawei Zhang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - L M Zhang
- Tsinghua University, Beijing 100084, People's Republic of China
| | - L Q Zhang
- Sun Yat-Sen University, Guangzhou 510275, People's Republic of China
| | - Lei Zhang
- Nanjing University, Nanjing 210093, People's Republic of China
| | - P Zhang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - Q Y Zhang
- Liaoning Normal University, Dalian 116029, People's Republic of China
- Zhengzhou University, Zhengzhou 450001, People's Republic of China
| | - Shuihan Zhang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - Shulei Zhang
- Hunan University, Changsha 410082, People's Republic of China
| | - X D Zhang
- North China Electric Power University, Beijing 102206, People's Republic of China
| | - X M Zhang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - X Y Zhang
- Shandong University, Jinan 250100, People's Republic of China
| | - X Y Zhang
- Soochow University, Suzhou 215006, People's Republic of China
| | - Y Zhang
- University of Oxford, Keble Road, Oxford OX13RH, United Kingdom
| | - Y Zhang
- University of South China, Hengyang 421001, People's Republic of China
| | - Y T Zhang
- Zhengzhou University, Zhengzhou 450001, People's Republic of China
| | - Y H Zhang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
| | - Yan Zhang
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - Yao Zhang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - Z H Zhang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - Z L Zhang
- Jilin University, Changchun 130012, People's Republic of China
| | - Z Y Zhang
- Nankai University, Tianjin 300071, People's Republic of China
| | - Z Y Zhang
- Wuhan University, Wuhan 430072, People's Republic of China
| | - G Zhao
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - J Zhao
- Liaoning Normal University, Dalian 116029, People's Republic of China
| | - J Y Zhao
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - J Z Zhao
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
| | - Lei Zhao
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - Ling Zhao
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - M G Zhao
- Nankai University, Tianjin 300071, People's Republic of China
| | - S J Zhao
- Zhengzhou University, Zhengzhou 450001, People's Republic of China
| | - Y B Zhao
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
| | - Y X Zhao
- Institute of Modern Physics, Lanzhou 730000, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - Z G Zhao
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - A Zhemchugov
- Joint Institute for Nuclear Research, 141980 Dubna, Moscow region, Russia
| | - B Zheng
- University of South China, Hengyang 421001, People's Republic of China
| | - J P Zheng
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
| | - W J Zheng
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - Y H Zheng
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - B Zhong
- Nanjing Normal University, Nanjing 210023, People's Republic of China
| | - X Zhong
- Sun Yat-Sen University, Guangzhou 510275, People's Republic of China
| | - H Zhou
- Shandong University, Jinan 250100, People's Republic of China
| | - L P Zhou
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - X Zhou
- Wuhan University, Wuhan 430072, People's Republic of China
| | - X K Zhou
- Central China Normal University, Wuhan 430079, People's Republic of China
| | - X R Zhou
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - X Y Zhou
- Liaoning Normal University, Dalian 116029, People's Republic of China
| | - Y Z Zhou
- Fudan University, Shanghai 200433, People's Republic of China
| | - J Zhu
- Nankai University, Tianjin 300071, People's Republic of China
| | - K Zhu
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - K J Zhu
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - L Zhu
- Jilin University, Changchun 130012, People's Republic of China
| | - L X Zhu
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - S H Zhu
- University of Science and Technology Liaoning, Anshan 114051, People's Republic of China
| | - S Q Zhu
- Nanjing University, Nanjing 210093, People's Republic of China
| | - T J Zhu
- Fudan University, Shanghai 200433, People's Republic of China
| | - W J Zhu
- Fudan University, Shanghai 200433, People's Republic of China
| | - Y C Zhu
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - Z A Zhu
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - J H Zou
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - J Zu
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
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Wei X, Li Y, Jiang T, Luo P, Dai Y, Wang Q, Xu M, Yan J, Li Y, Gao J, Liu L, Zhang C, Liu Y. Terazosin attenuates abdominal aortic aneurysm formation by downregulating Peg3 expression to inhibit vascular smooth muscle cell apoptosis and senescence. Eur J Pharmacol 2024; 968:176397. [PMID: 38331337 DOI: 10.1016/j.ejphar.2024.176397] [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: 10/01/2023] [Revised: 01/19/2024] [Accepted: 02/05/2024] [Indexed: 02/10/2024]
Abstract
Abdominal aortic aneurysm (AAA), a vascular degenerative disease, is a potentially life-threatening condition characterised by the loss of vascular smooth muscle cells (VSMCs), degradation of extracellular matrix (ECM), inflammation, and oxidative stress. Despite the severity of AAA, effective drugs for treatment are scarce. At low doses, terazosin (TZ) exerts antiapoptotic and anti-inflammatory effects in several diseases, but its potential to protect against AAA remains unexplored. Herein, we investigated the effects of TZ in two AAA animal models: Angiotensin II (Ang II) infusion in Apoe-/- mice and calcium chloride application in C57BL/6J mice. Mice were orally administered with TZ (100 or 1000 μg/kg/day). The in vivo results indicated that low-dose TZ alleviated AAA formation in both models. Low-dose TZ significantly reduced aortic pulse wave velocity without exerting an apparent antihypertensive effect in the Ang II-induced AAA model. Paternally expressed gene 3 (Peg3) was identified via RNA sequencing as a novel TZ target. PEG3 expression was significantly elevated in both mouse and human AAA tissues. TZ suppressed PEG3 expression and reduced the abundance of matrix metalloproteinases (MMP2/MMP9) in the tunica media. Functional experiments and molecular analyses revealed that TZ (10 nM) treatment and Peg3 knockdown effectively prevented Ang II-induced VSMC senescence and apoptosis in vitro. Thus, Peg3, a novel target of TZ, mediates inflammation-induced VSMC apoptosis and senescence. Low-dose TZ downregulates Peg3 expression to attenuate AAA formation and ECM degradation, suggesting a promising therapeutic strategy for AAA.
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Affiliation(s)
- Xiuxian Wei
- Department of Geriatrics, Tongji Hospital of Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China; Key Laboratory of Vascular Aging, Ministry of Education, Tongji Hospital of Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Yi Li
- Department of Geriatrics, Tongji Hospital of Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China; Key Laboratory of Vascular Aging, Ministry of Education, Tongji Hospital of Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Tao Jiang
- Department of Geriatrics, Tongji Hospital of Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China; Key Laboratory of Vascular Aging, Ministry of Education, Tongji Hospital of Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Pengcheng Luo
- Department of Geriatrics, Tongji Hospital of Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China; Key Laboratory of Vascular Aging, Ministry of Education, Tongji Hospital of Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Yue Dai
- Department of Geriatrics, Tongji Hospital of Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China; Key Laboratory of Vascular Aging, Ministry of Education, Tongji Hospital of Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Qian Wang
- Department of Geriatrics, Tongji Hospital of Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China; Key Laboratory of Vascular Aging, Ministry of Education, Tongji Hospital of Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Mulin Xu
- Key Laboratory of Vascular Aging, Ministry of Education, Tongji Hospital of Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China; Department of General Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Jinhua Yan
- Department of Geriatrics, Tongji Hospital of Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China; Key Laboratory of Vascular Aging, Ministry of Education, Tongji Hospital of Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Yongjun Li
- Department of Vascular Surgery, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, No. 1 DaHua Road, Dong Dan, Beijing, 100730, China
| | - Jingwen Gao
- Department of Biochemistry and Molecular Biology School of Basic Medicine, Capital Medical University, Youanmen, Beijing, 100069, China
| | - Lei Liu
- Department of Biochemistry and Molecular Biology School of Basic Medicine, Capital Medical University, Youanmen, Beijing, 100069, China
| | - Cuntai Zhang
- Department of Geriatrics, Tongji Hospital of Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China; Key Laboratory of Vascular Aging, Ministry of Education, Tongji Hospital of Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Yu Liu
- Department of Geriatrics, Tongji Hospital of Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China; Key Laboratory of Vascular Aging, Ministry of Education, Tongji Hospital of Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China.
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Wang L, Sun J, Wang X, Lei M, Shi Z, Liu L, Xu C. Visual and quantitative lateral flow immunoassay based on Au@PS SERS tags for multiplex cardiac biomarkers. Talanta 2024; 274:126040. [PMID: 38581853 DOI: 10.1016/j.talanta.2024.126040] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2023] [Revised: 03/27/2024] [Accepted: 04/02/2024] [Indexed: 04/08/2024]
Abstract
Rapid and sensitive detection of multiple biomarkers by lateral flow immunoassay (LFIA) remains challenging for signal amplification for commonly used nanotags. Herein, we report a novel LFIA strip for visual and highly sensitive analysis of two cardiac biomarkers based on functionalized gold nanoparticles @ polystyrene microsphere (Au@PS)microcavity as surface-enhanced Raman scattering (SERS) tags. Antibody-modified Au@PS was designed as a SERS label. The evanescent waves propagating along the surface of the PS microcavity and the localized surface plasmons of the gold nanoparticles were coupled to enhance the light-matter interaction synergistically for Raman signal enhancement. In this strategy, the proposed Au@PS SERS tags-based LFIA was carried out to quantify the content of the heart failure and infarct biomarkers synchronously within 15 min and get the limits of detection of 1 pg/mL and 10 pg/mL for cardiac troponin I (cTnI) and N-terminal natriuretic peptide precursor (NT-proBNP), respectively. The results demonstrated 10-20 folds more sensitivity than that of the standard colloidal gold strip and fluorescent strip for the same biomarkers. This novel quantitative LFIA shows promise as a high-sensitive and visual sensing method for relevant clinical and forensic analysis.
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Affiliation(s)
- Li Wang
- State Key Laboratory of Digital Medical Engineering, School of Biological Science and Medical Engineering, Southeast University, Nanjing, 210096, China
| | - Jianli Sun
- State Key Laboratory of Digital Medical Engineering, School of Biological Science and Medical Engineering, Southeast University, Nanjing, 210096, China
| | - Xiaoxuan Wang
- State Key Laboratory of Digital Medical Engineering, School of Biological Science and Medical Engineering, Southeast University, Nanjing, 210096, China
| | - Milan Lei
- State Key Laboratory of Digital Medical Engineering, School of Biological Science and Medical Engineering, Southeast University, Nanjing, 210096, China
| | - Zengliang Shi
- State Key Laboratory of Digital Medical Engineering, School of Biological Science and Medical Engineering, Southeast University, Nanjing, 210096, China.
| | - Lei Liu
- Faculty Electronic Information Engineering, Huaiyin Institute of Technology, Huaiyin, 223003, China.
| | - Chunxiang Xu
- State Key Laboratory of Digital Medical Engineering, School of Biological Science and Medical Engineering, Southeast University, Nanjing, 210096, China.
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Jin X, Liu L, Liu D, Wu J, Wang C, Wang S, Wang F, Yu G, Jin X, Xue YW, Jiang D, Ni Y, Yang X, Wang MS, Wang ZW, Orlov YL, Jia W, Melino G, Liu JB, Chen WL. Unveiling the methionine cycle: a key metabolic signature and NR4A2 as a methionine-responsive oncogene in esophageal squamous cell carcinoma. Cell Death Differ 2024:10.1038/s41418-024-01285-7. [PMID: 38570607 DOI: 10.1038/s41418-024-01285-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2023] [Revised: 03/13/2024] [Accepted: 03/18/2024] [Indexed: 04/05/2024] Open
Abstract
Esophageal squamous cell carcinoma (ESCC) is a deadly malignancy with notable metabolic reprogramming, yet the pivotal metabolic feature driving ESCC progression remains elusive. Here, we show that methionine cycle exhibits robust activation in ESCC and is reversely associated with patient survival. ESCC cells readily harness exogenous methionine to generate S-adenosyl-methionine (SAM), thus promoting cell proliferation. Mechanistically, methionine augments METTL3-mediated RNA m6A methylation through SAM and revises gene expression. Integrative omics analysis highlights the potent influence of methionine/SAM on NR4A2 expression in a tumor-specific manner, mediated by the IGF2BP2-dependent stabilization of methylated NR4A2 mRNA. We demonstrate that NR4A2 facilitates ESCC growth and negatively impacts patient survival. We further identify celecoxib as an effective inhibitor of NR4A2, offering promise as a new anti-ESCC agent. In summary, our findings underscore the active methionine cycle as a critical metabolic characteristic in ESCC, and pinpoint NR4A2 as a novel methionine-responsive oncogene, thereby presenting a compelling target potentially superior to methionine restriction.
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Affiliation(s)
- Xing Jin
- Cancer Institute, Longhua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, 200032, China
- Shanghai Frontiers Science Center of Disease and Syndrome Biology of Inflammatory Cancer Transformation, Shanghai, 200032, China
| | - Lei Liu
- Department of Thoracic Surgery, The Affiliated Tumor Hospital of Nantong University, Nantong, 226300, China
- School of Medicine, Southeast University, Nanjing, 210009, China
| | - Dan Liu
- Cancer Institute, Longhua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, 200032, China
- Shanghai Frontiers Science Center of Disease and Syndrome Biology of Inflammatory Cancer Transformation, Shanghai, 200032, China
| | - Jia Wu
- Cancer Institute, Longhua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, 200032, China
- Shanghai Frontiers Science Center of Disease and Syndrome Biology of Inflammatory Cancer Transformation, Shanghai, 200032, China
| | - Congcong Wang
- Cancer Institute, Longhua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, 200032, China
- Shanghai Frontiers Science Center of Disease and Syndrome Biology of Inflammatory Cancer Transformation, Shanghai, 200032, China
| | - Siliang Wang
- Cancer Institute, Longhua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, 200032, China
- Shanghai Frontiers Science Center of Disease and Syndrome Biology of Inflammatory Cancer Transformation, Shanghai, 200032, China
| | - Fengying Wang
- Cancer Institute, Longhua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, 200032, China
- Shanghai Frontiers Science Center of Disease and Syndrome Biology of Inflammatory Cancer Transformation, Shanghai, 200032, China
| | - Guanzhen Yu
- Department of Oncology, Longhua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, 200032, China
- Laboratory of Digital Health and Artificial Intelligence, Zhejiang Digital Content Research Institute, Shaoxing, 312000, China
| | - Xiaoxia Jin
- Department of Pathology, The Affiliated Tumor Hospital of Nantong University, Nantong, 226300, China
| | - Yu-Wen Xue
- Pathology department, Longhua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, 200032, China
| | - Dan Jiang
- Pathology department, Longhua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, 200032, China
| | - Yan Ni
- The Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou, 310029, China
| | - Xi Yang
- Department of Oncology, Shanxi Provincial Hospital of Traditional Chinese Medicine, Shanxi, 030001, China
| | - Ming-Song Wang
- Department of Thoracic Surgery, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200011, China
| | - Zhi-Wei Wang
- Department of Breast, The International Peace Maternity and Child Health Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200030, China
| | - Yuriy L Orlov
- The Digital Health Institute, I.M. Sechenov First Moscow State Medical University of the Ministry of Health of the Russian Federation (Sechenov University), Moscow, 119991, Russia
- Institute of Cytology and Genetics, Siberian Branch of the Russian Academy of Sciences, 630090, Novosibirsk, Russia
- Life Sciences Department, Novosibirsk State University, Novosibirsk, 630090, Russia
- Institute of Life Sciences and Biomedicine, Far Eastern Federal University, Vladivostok, 690922, Russia
- Agrarian and Technological Institute, Peoples' Friendship University of Russia, Moscow, 117198, Russia
| | - Wei Jia
- Department of Pharmacology and Pharmacy, Faculty of Medicine, University of Hong Kong, Hong Kong, China
| | - Gerry Melino
- Department of Experimental Medicine, University of Rome "Tor Vergata", 00133, Rome, Italy
| | - Ji-Bin Liu
- Cancer Institute, The Affiliated Tumor Hospital of Nantong University, Nantong, 226361, China
| | - Wen-Lian Chen
- Cancer Institute, Longhua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, 200032, China.
- Shanghai Frontiers Science Center of Disease and Syndrome Biology of Inflammatory Cancer Transformation, Shanghai, 200032, China.
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Chen Y, Yao L, Zhao S, Xu M, Ren S, Xie L, Liu L, Wang Y. Corrigendum: The oxidative aging model integrated various risk factors in type 2 diabetes mellitus at system level. Front Endocrinol (Lausanne) 2024; 15:1363078. [PMID: 38633758 PMCID: PMC11021946 DOI: 10.3389/fendo.2024.1363078] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/29/2023] [Accepted: 02/23/2024] [Indexed: 04/19/2024] Open
Abstract
[This corrects the article DOI: 10.3389/fendo.2023.1196293.].
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Affiliation(s)
- Yao Chen
- Department of Biomedical Engineering, School of Intelligent Medicine, China Medical University, Shenyang, Liaoning, China
| | - Lilin Yao
- Department of Biomedical Engineering, School of Intelligent Medicine, China Medical University, Shenyang, Liaoning, China
| | - Shuheng Zhao
- Department of Biomedical Engineering, School of Intelligent Medicine, China Medical University, Shenyang, Liaoning, China
| | - Mengchu Xu
- Department of Biomedical Engineering, School of Intelligent Medicine, China Medical University, Shenyang, Liaoning, China
| | - Siwei Ren
- Department of Biomedical Engineering, School of Intelligent Medicine, China Medical University, Shenyang, Liaoning, China
| | - Lu Xie
- Shanghai-MOST Key Laboratory of Health and Disease Genomics & Institute for Genome and Bioinformatics, Shanghai Institute for Biomedical and Pharmaceutical Technologies, Shanghai, China
| | - Lei Liu
- Intelligent Medicine Institute, Fudan University, Shanghai, China
| | - Yin Wang
- Department of Biomedical Engineering, School of Intelligent Medicine, China Medical University, Shenyang, Liaoning, China
- Key Laboratory of GI Cancer Etiology and Prevention in Liaoning Province, The First Hospital of China Medical University, Shenyang, China
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50
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Lei J, Lü W, Wang W, Wang H, Guo X, Cheng P, Gong M, Liu L. [Comparison of the microbiota diversity between autogenous and anautogenous Culex pipiens pallens]. Zhongguo Xue Xi Chong Bing Fang Zhi Za Zhi 2024; 36:52-58. [PMID: 38604685 DOI: 10.16250/j.32.1374.2023204] [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] [Subscribe] [Scholar Register] [Indexed: 04/13/2024]
Abstract
OBJECTIVE To investigate the microbiota composition and diversity between autogenous and anautogenous Culex pipiens pallens, so as to provide insights into unraveling the pathogenesis of autogeny in Cx. pipiens pallens. METHODS Autogenous and anautogenous adult Cx. pipiens pallens samples were collected at 25 ℃, and the hypervariable regions of the microbial 16S ribosomal RNA (16S rRNA) gene was sequenced on the Illumina NovaSeq 6000 sequencing platform. The microbiota abundance and diversity were evaluated using the alpha diversity index, and the difference in the microbiota structure was examined using the beta diversity index. The microbiota with significant differences in the abundance between autogenous and anautogenous adult Cx. pipiens pallens samples was identified using the linear discriminant analysis effect size (LEfSe). RESULTS The microbiota in autogenous and anautogenous Cx. pipiens pallens samples belonged to 18 phyla, 28 classes, 70 orders, 113 families, and 170 genera, and the dominant phyla included Proteobacteria, Bacteroidetes, and so on. At the genus level, Wolbachia was a common dominant genus, and the relative abundance was (77.6 ± 11.3)% in autogenous Cx. pipiens pallens samples and (47.5 ± 8.5)% in anautogenous mosquito samples, while Faecalibaculum (0.4% ± 0.1%), Dubosiella (0.5% ± 0.0%) and Massilia (0.5% ± 0.1%) were specific species in autogenous Cx. pipiens pallens samples. Alpha diversity analysis showed that higher Chao1 index and ACE index in autogenous Cx. pipiens pallens samples than in anautogenous samples (both P values > 0.05), and lower Shannon index (P > 0.05) and Simpson index (P < 0.05) in autogenous Cx. pipiens pallens samples than in anautogenous samples. LEfSe analysis showed a total of 48 significantly different taxa between autogenous and anautogenous Cx. pipiens pallens samples (all P values < 0.05). CONCLUSIONS There is a significant difference in the microbiota diversity between autogenous and anautogenous Cx. pipiens pallens.
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Affiliation(s)
- J Lei
- Shandong Institute of Parasitic Diseases; Shandong First Medical University & Shandong Academy of Medical Sciences, Jining, Shandong 272033, China
| | - W Lü
- Shandong Institute of Parasitic Diseases; Shandong First Medical University & Shandong Academy of Medical Sciences, Jining, Shandong 272033, China
| | - W Wang
- Shandong Institute of Parasitic Diseases; Shandong First Medical University & Shandong Academy of Medical Sciences, Jining, Shandong 272033, China
| | - H Wang
- Shandong Institute of Parasitic Diseases; Shandong First Medical University & Shandong Academy of Medical Sciences, Jining, Shandong 272033, China
| | - X Guo
- Shandong Institute of Parasitic Diseases; Shandong First Medical University & Shandong Academy of Medical Sciences, Jining, Shandong 272033, China
| | - P Cheng
- Shandong Institute of Parasitic Diseases; Shandong First Medical University & Shandong Academy of Medical Sciences, Jining, Shandong 272033, China
| | - M Gong
- Shandong Institute of Parasitic Diseases; Shandong First Medical University & Shandong Academy of Medical Sciences, Jining, Shandong 272033, China
| | - L Liu
- Shandong Institute of Parasitic Diseases; Shandong First Medical University & Shandong Academy of Medical Sciences, Jining, Shandong 272033, China
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