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Tao H, Jin C, Zhou L, Deng Z, Li X, Dang W, Fan S, Li B, Ye F, Lu J, Kong X, Liu C, Luo C, Zhang Y. PRMT1 Inhibition Activates the Interferon Pathway to Potentiate Antitumor Immunity and Enhance Checkpoint Blockade Efficacy in Melanoma. Cancer Res 2024; 84:419-433. [PMID: 37991725 DOI: 10.1158/0008-5472.can-23-1082] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2023] [Revised: 09/07/2023] [Accepted: 11/17/2023] [Indexed: 11/23/2023]
Abstract
Despite the immense success of immune checkpoint blockade (ICB) in cancer treatment, many tumors, including melanoma, exhibit innate or adaptive resistance. Tumor-intrinsic T-cell deficiency and T-cell dysfunction have been identified as essential factors in the emergence of ICB resistance. Here, we found that protein arginine methyltransferase 1 (PRMT1) expression was inversely correlated with the number and activity of CD8+ T cells within melanoma specimen. PRMT1 deficiency or inhibition with DCPT1061 significantly restrained refractory melanoma growth and increased intratumoral CD8+ T cells in vivo. Moreover, PRMT1 deletion in melanoma cells facilitated formation of double-stranded RNA derived from endogenous retroviral elements (ERV) and stimulated an intracellular interferon response. Mechanistically, PRMT1 deficiency repressed the expression of DNA methyltransferase 1 (DNMT1) by attenuating modification of H4R3me2a and H3K27ac at enhancer regions of Dnmt1, and DNMT1 downregulation consequently activated ERV transcription and the interferon signaling. Importantly, PRMT1 inhibition with DCPT1061 synergized with PD-1 blockade to suppress tumor progression and increase the proportion of CD8+ T cells as well as IFNγ+CD8+ T cells in vivo. Together, these results reveal an unrecognized role and mechanism of PRMT1 in regulating antitumor T-cell immunity, suggesting PRMT1 inhibition as a potent strategy to increase the efficacy of ICB. SIGNIFICANCE Targeting PRMT1 stimulates interferon signaling by increasing expression of endogenous retroviral elements and double-stranded RNA through repression of DNMT1, which induces antitumor immunity and synergizes with immunotherapy to suppress tumor progression.
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Affiliation(s)
- Hongru Tao
- School of Life Science and Technology, Harbin Institute of Technology, Harbin, China
| | - Chen Jin
- School of Chinese Materia Medica, Nanjing University of Chinese Medicine, Nanjing, China
| | - Liyuan Zhou
- School of Pharmaceutical Science and Technology, Hangzhou Institute for Advanced Study, University of Chinese Academy of Sciences, Hangzhou, China
- Drug Discovery and Design Center, The Center for Chemical Biology, State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Zhenzhong Deng
- Department of Oncology, Xinhua Hospital, School of Medicine, Shanghai JiaoTong University, Shanghai, China
| | - Xiao Li
- School of Pharmaceutical Science and Technology, Hangzhou Institute for Advanced Study, University of Chinese Academy of Sciences, Hangzhou, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Wenzhen Dang
- School of Pharmaceutical Science and Technology, Hangzhou Institute for Advanced Study, University of Chinese Academy of Sciences, Hangzhou, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Shijie Fan
- Zhongshan Institute for Drug Discovery, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Zhongshan, China
| | - Bing Li
- Drug Discovery and Design Center, The Center for Chemical Biology, State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Fei Ye
- College of Life Sciences and Medicine, Zhejiang Sci-Tech University, Hangzhou, China
| | - Junyan Lu
- Medical Faculty Heidelberg, Heidelberg University, Heidelberg, Germany
| | - Xiangqian Kong
- State Key Laboratory of Respiratory Disease, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
| | - Chuanpeng Liu
- School of Life Science and Technology, Harbin Institute of Technology, Harbin, China
| | - Cheng Luo
- School of Chinese Materia Medica, Nanjing University of Chinese Medicine, Nanjing, China
- School of Pharmaceutical Science and Technology, Hangzhou Institute for Advanced Study, University of Chinese Academy of Sciences, Hangzhou, China
- Drug Discovery and Design Center, The Center for Chemical Biology, State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, China
- University of Chinese Academy of Sciences, Beijing, China
- Zhongshan Institute for Drug Discovery, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Zhongshan, China
| | - Yuanyuan Zhang
- Drug Discovery and Design Center, The Center for Chemical Biology, State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, China
- University of Chinese Academy of Sciences, Beijing, China
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Liu Y, Chen H, Yan X, Zhang J, Deng Z, Huang M, Gu J, Zhang J. MyD88 in myofibroblasts enhances nonalcoholic fatty liver disease-related hepatocarcinogenesis via promoting macrophage M2 polarization. Cell Commun Signal 2024; 22:86. [PMID: 38291436 PMCID: PMC10826060 DOI: 10.1186/s12964-024-01489-x] [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: 10/09/2023] [Accepted: 01/11/2024] [Indexed: 02/01/2024] Open
Abstract
BACKGROUND Nonalcoholic fatty liver disease (NAFLD) is a major cause of chronic liver diseases and has emerged as the leading factor in the pathogenesis of hepatocellular carcinoma (HCC). MyD88 contributes to the development of HCC. However, the underlying mechanism by which MyD88 in myofibroblasts regulates NAFLD-associated liver cancer development remains unknown. RESULTS Myofibroblast MyD88-deficient (SMAMyD88-/-) mice were protected from diet-induced obesity and developed fewer and smaller liver tumors. MyD88 deficiency in myofibroblasts attenuated macrophage M2 polarization and fat accumulation in HCC tissues. Mechanistically, MyD88 signaling in myofibroblasts enhanced CCL9 secretion, thereby promoting macrophage M2 polarization. This process may depend on the CCR1 receptor and STAT6/ PPARβ pathway. Furthermore, liver tumor growth was attenuated in mice treated with a CCR1 inhibitor. CCLl5 (homologous protein CCL9 in humans) expression was increased in myofibroblasts of HCC and was associated with shorter survival of patients with HCC. Thus, our results indicate that MyD88 in myofibroblasts promotes NAFLD-related HCC progression and may be a promising therapeutic target for HCC treatment. CONCLUSION This study demonstrates that MyD88 in myofibroblasts can promote nonalcoholic fatty liver disease-related hepatocarcinogenesis by enhancing macrophage M2 polarization, which might provide a potential molecular therapeutic target for HCC.
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Affiliation(s)
- Yu Liu
- College of Life Science and Bioengineering, Beijing Jiaotong University, No.3 Shangyuancun Road, Beijing, 100044, P.R. China
| | - Haiqiang Chen
- College of Life Science and Bioengineering, Beijing Jiaotong University, No.3 Shangyuancun Road, Beijing, 100044, P.R. China
| | - Xuanxuan Yan
- College of Life Science and Bioengineering, Beijing Jiaotong University, No.3 Shangyuancun Road, Beijing, 100044, P.R. China
| | - Jie Zhang
- College of Life Science and Bioengineering, Beijing Jiaotong University, No.3 Shangyuancun Road, Beijing, 100044, P.R. China
| | - Zhenzhong Deng
- Department of Oncology, Xinhua Hospital, Shanghai Jiaotong University School of Medicine, 1665 Kongjiang Road, Shanghai, 200092, P. R. China
| | - Maosheng Huang
- Department of Epidemiology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Jianchun Gu
- Department of Oncology, Xinhua Hospital, Shanghai Jiaotong University School of Medicine, 1665 Kongjiang Road, Shanghai, 200092, P. R. China.
| | - Jinhua Zhang
- College of Life Science and Bioengineering, Beijing Jiaotong University, No.3 Shangyuancun Road, Beijing, 100044, P.R. China.
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Deng Z, Ji Y, Han B, Tan Z, Ren Y, Gao J, Chen N, Ma C, Zhang Y, Yao Y, Lu H, Huang H, Xu M, Chen L, Zheng L, Gu J, Xiong D, Zhao J, Gu J, Chen Z, Wang K. Early detection of hepatocellular carcinoma via no end-repair enzymatic methylation sequencing of cell-free DNA and pre-trained neural network. Genome Med 2023; 15:93. [PMID: 37936230 PMCID: PMC10631027 DOI: 10.1186/s13073-023-01238-8] [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] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2022] [Accepted: 09/26/2023] [Indexed: 11/09/2023] Open
Abstract
BACKGROUND Early detection of hepatocellular carcinoma (HCC) is important in order to improve patient prognosis and survival rate. Methylation sequencing combined with neural networks to identify cell-free DNA (cfDNA) carrying aberrant methylation offers an appealing and non-invasive approach for HCC detection. However, some limitations exist in traditional methylation detection technologies and models, which may impede their performance in the read-level detection of HCC. METHODS We developed a low DNA damage and high-fidelity methylation detection method called No End-repair Enzymatic Methyl-seq (NEEM-seq). We further developed a read-level neural detection model called DeepTrace that can better identify HCC-derived sequencing reads through a pre-trained and fine-tuned neural network. After pre-training on 11 million reads from NEEM-seq, DeepTrace was fine-tuned using 1.2 million HCC-derived reads from tumor tissue DNA after noise reduction, and 2.7 million non-tumor reads from non-tumor cfDNA. We validated the model using data from 130 individuals with cfDNA whole-genome NEEM-seq at around 1.6X depth. RESULTS NEEM-seq overcomes the drawbacks of traditional enzymatic methylation sequencing methods by avoiding the introduction of unmethylation errors in cfDNA. DeepTrace outperformed other models in identifying HCC-derived reads and detecting HCC individuals. Based on the whole-genome NEEM-seq data of cfDNA, our model showed high accuracy of 96.2%, sensitivity of 93.6%, and specificity of 98.5% in the validation cohort consisting of 62 HCC patients, 48 liver disease patients, and 20 healthy individuals. In the early stage of HCC (BCLC 0/A and TNM I), the sensitivity of DeepTrace was 89.6 and 89.5% respectively, outperforming Alpha Fetoprotein (AFP) which showed much lower sensitivity in both BCLC 0/A (50.5%) and TNM I (44.7%). CONCLUSIONS By combining high-fidelity methylation data from NEEM-seq with the DeepTrace model, our method has great potential for HCC early detection with high sensitivity and specificity, making it potentially suitable for clinical applications. DeepTrace: https://github.com/Bamrock/DeepTrace.
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Affiliation(s)
- Zhenzhong Deng
- Department of Oncology, Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yongkun Ji
- BamRock Research Department, Suzhou BamRock Biotechnology Ltd., Suzhou, Jiangsu Province, China
| | - Bing Han
- Division of Hepatobiliary and Transplantation Surgery, Department of General Surgery, Nanjing Drum Tower Hospital, the Affiliated Hospital of Medical School, Nanjing University, Nanjing, China
- Department of Transplantation, Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Zhongming Tan
- Hepatobiliary Center, the First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu Province, China
| | - Yuqi Ren
- College of Intelligence and Computing, Tianjin University, Tianjin, China
| | - Jinghan Gao
- Department of Software Engineering, Tsinghua University, Beijing, China
| | - Nan Chen
- National Clinical Research Center for Hematologic Diseases, Jiangsu Institute of Hematology, The First Affiliated Hospital of Soochow University, Suzhou, Jiangsu Province, China
| | - Cong Ma
- Suzhou Known Biotechnology Ltd, Suzhou, Jiangsu Province, China
| | - Yichi Zhang
- Department of Transplantation, Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yunhai Yao
- Infectious Disease Department, the First Affiliated Hospital of Soochow University, Suzhou, Jiangsu Province, China
| | - Hong Lu
- Infectious Disease Department, the First Affiliated Hospital of Soochow University, Suzhou, Jiangsu Province, China
| | - Heqing Huang
- Infectious Disease Department, the First Affiliated Hospital of Soochow University, Suzhou, Jiangsu Province, China
| | - Midie Xu
- Department of Pathology, Fudan University Shanghai Cancer Center, Shanghai, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Lei Chen
- Department of Pathology, Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Leizhen Zheng
- Department of Oncology, Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Jianchun Gu
- Department of Oncology, Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China.
| | - Deyi Xiong
- College of Intelligence and Computing, Tianjin University, Tianjin, China.
| | - Jianxin Zhao
- Department of Interventional Medicine, the affiliated hospital of infectious diseases of Soochow University, Suzhou, 215131, Jiangsu Province, China.
| | - Jinyang Gu
- Department of Transplantation, Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China.
- Liver Transplantation Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei Province, China.
| | - Zutao Chen
- Infectious Disease Department, the First Affiliated Hospital of Soochow University, Suzhou, Jiangsu Province, China.
- Suzhou Key Laboratory of Pathogen Bioscience and Anti-Infective Medicine, Suzhou, Jiangsu Province, China.
| | - Ke Wang
- Hepatobiliary Center, the First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu Province, China.
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Luo Y, Deng Z, Song B. A case of colon cancer combined with superior mesenteric vein resection and reconstruction. Tech Coloproctol 2023; 27:1131-1133. [PMID: 37329385 DOI: 10.1007/s10151-023-02828-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/20/2023] [Accepted: 05/25/2023] [Indexed: 06/19/2023]
Affiliation(s)
- Yajun Luo
- Department of Colorectal Surgery, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, Cancer Hospital Affiliate to University of Electronic Science and Technology of China, No. 55, Section 4, South Renmin Road, Wuhou District, Chengdu, 610042, People's Republic of China
| | - Z Deng
- Department of Colorectal Surgery, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, Cancer Hospital Affiliate to University of Electronic Science and Technology of China, No. 55, Section 4, South Renmin Road, Wuhou District, Chengdu, 610042, People's Republic of China
| | - B Song
- Department of Colorectal Surgery, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, Cancer Hospital Affiliate to University of Electronic Science and Technology of China, No. 55, Section 4, South Renmin Road, Wuhou District, Chengdu, 610042, People's Republic of China.
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Wu J, Deng Z, Zhu Y, Dou G, Li J, Huang L. [Overexpression of miR-431-5p impairs mitochondrial function and induces apoptosis in gastric cancer cells via the Bax/Bcl-2/caspase3 pathway]. Nan Fang Yi Ke Da Xue Xue Bao 2023; 43:537-543. [PMID: 37202188 DOI: 10.12122/j.issn.1673-4254.2023.04.05] [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] [Subscribe] [Scholar Register] [Indexed: 05/20/2023]
Abstract
OBJECTIVE To investigate the expression of microRNA miR-431-5p in gastric cancer (GC) tissues and its effects on apoptosis and mitochondrial function in GC cells. METHODS The expression level of miR-431-5p in 50 clinical samples of GC tissues and paired adjacent tissues was detected using real-time fluorescence quantitative PCR, and its correlation with the clinicopathological features of the patients was analyzed. A cultured human GC cell line (MKN-45 cells) were transfected with a miR-431-5p mimic or a negative control sequence, and the cell proliferation, apoptosis, mitochondrial number, mitochondrial potential, mitochondrial permeability transition pore (mPTP), reactive oxygen species (ROS) production and adenosine triphosphate (ATP) content were detected using CCK-8 assay, flow cytometry, fluorescent probe label, or ATP detection kit. The changes in the expression levels of the apoptotic proteins in the cells were detected with Western blotting. RESULTS The expression level of miR-431-5p was significantly lower in GC tissues than in the adjacent tissues (P < 0.001) and was significantly correlated with tumor differentiation (P=0.0227), T stage (P=0.0184), N stage (P=0.0005), TNM stage (P=0.0414) and vascular invasion (P=0.0107). In MKN-45 cells, overexpression of miR-431-5p obviously inhibited cell proliferation and induced cell apoptosis, causing also mitochondrial function impairment as shown by reduced mitochondrial number, lowered mitochondrial potential, increased mPTP opening, increased ROS production and reduced ATP content. Overexpression of miR-431-5p significantly downregulated the expression of Bcl-2 and increased the expressions of pro-apoptotic proteins p53, Bcl-2 and cleaved caspase-3 protein. CONCLUSION The expression of miR-431-5p is down-regulated in GC, which results in mitochondrial function impairment and promotes cell apoptosis by activating the Bax/Bcl-2/caspase3 signaling pathway, suggesting the potential role of miR-431-5p in targeted therapy for GC.
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Affiliation(s)
- J Wu
- Department of Gastrointestinal Surgery, First Hospital of Jiaxing (First Affiliated Hospital of Jiaxing University), Jiaxing 314000, China
| | - Z Deng
- Department of Gastrointestinal Surgery, First Hospital of Jiaxing (First Affiliated Hospital of Jiaxing University), Jiaxing 314000, China
| | - Y Zhu
- Department of Gastrointestinal Surgery, First Hospital of Jiaxing (First Affiliated Hospital of Jiaxing University), Jiaxing 314000, China
| | - G Dou
- Department of Gastrointestinal Surgery, First Hospital of Jiaxing (First Affiliated Hospital of Jiaxing University), Jiaxing 314000, China
| | - J Li
- Department of Gastrointestinal Surgery, First Hospital of Jiaxing (First Affiliated Hospital of Jiaxing University), Jiaxing 314000, China
| | - L Huang
- Department of Gastrointestinal Surgery, First Hospital of Jiaxing (First Affiliated Hospital of Jiaxing University), Jiaxing 314000, China
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Zhou K, Wu F, Zhao N, Zheng Y, Deng Z, Yang H, Wen X, Xiao S, Yang C, Chen S, Zhou Y, Ran P. Association of pectoralis muscle area on computed tomography with airflow limitation severity and respiratory outcomes in COPD: A population-based prospective cohort study. Pulmonology 2023:S2531-0437(23)00039-9. [PMID: 36907812 DOI: 10.1016/j.pulmoe.2023.02.004] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2022] [Revised: 02/08/2023] [Accepted: 02/10/2023] [Indexed: 03/12/2023] Open
Abstract
BACKGROUND Previous studies have shown that patients with chronic obstructive pulmonary disease (COPD) of severe or very severe airflow limitation have a reduced pectoralis muscle area (PMA), which is associated with mortality. However, whether patients with COPD of mild or moderate airflow limitation also have a reduced PMA remains unclear. Additionally, limited evidence is available regarding the associations between PMA and respiratory symptoms, lung function, computed tomography (CT) imaging, lung function decline, and exacerbations. Therefore, we conducted this study to evaluate the presence of PMA reduction in COPD and to clarify its associations with the referred variables. METHODS This study was based on the subjects enrolled from July 2019 to December 2020 in the Early Chronic Obstructive Pulmonary Disease (ECOPD) study. Data including questionnaire, lung function, and CT imaging were collected. The PMA was quantified on full-inspiratory CT at the aortic arch level using predefined -50 and 90 Hounsfield unit attenuation ranges. Multivariate linear regression analyses were performed to assess the association between the PMA and airflow limitation severity, respiratory symptoms, lung function, emphysema, air trapping, and the annual decline in lung function. Cox proportional hazards analysis and Poisson regression analysis were used to evaluate the PMA and exacerbations after adjustment. RESULTS We included 1352 subjects at baseline (667 with normal spirometry, 685 with spirometry-defined COPD). The PMA was monotonically lower with progressive airflow limitation severity of COPD after adjusting for confounders (vs. normal spirometry; Global Initiative for Chronic Obstructive Lung Disease [GOLD] 1: β=-1.27, P=0.028; GOLD 2: β=-2.29, P<0.001; GOLD 3: β=-4.88, P<0.001; GOLD 4: β=-6.47, P=0.014). The PMA was negatively associated with the modified British Medical Research Council dyspnea scale (β=-0.005, P=0.026), COPD Assessment Test score (β=-0.06, P=0.001), emphysema (β=-0.07, P<0.001), and air trapping (β=-0.24, P<0.001) after adjustment. The PMA was positively associated with lung function (all P<0.05). Similar associations were discovered for the pectoralis major muscle area and pectoralis minor muscle area. After the 1-year follow-up, the PMA was associated with the annual decline in the post-bronchodilator forced expiratory volume in 1 s percent of predicted value (β=0.022, P=0.002) but not with the annual rate of exacerbations or the time to first exacerbation. CONCLUSION Patients with mild or moderate airflow limitation exhibit a reduced PMA. The PMA is associated with airflow limitation severity, respiratory symptoms, lung function, emphysema, and air trapping, suggesting that PMA measurement can assist with COPD assessment.
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Affiliation(s)
- K Zhou
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, National Center for Respiratory Medicine, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - F Wu
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, National Center for Respiratory Medicine, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China; Guangzhou Laboratory, Bio-island, Guangzhou, China
| | - N Zhao
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, National Center for Respiratory Medicine, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Y Zheng
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, National Center for Respiratory Medicine, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Z Deng
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, National Center for Respiratory Medicine, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - H Yang
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, National Center for Respiratory Medicine, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - X Wen
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, National Center for Respiratory Medicine, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - S Xiao
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, National Center for Respiratory Medicine, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - C Yang
- Department of Pulmonary and Critical Care Medicine, Wengyuan County People's Hospital, Shaoguan, China
| | - S Chen
- Medical Imaging Center, Wengyuan County People's Hospital, Shaoguan, China
| | - Y Zhou
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, National Center for Respiratory Medicine, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China; Guangzhou Laboratory, Bio-island, Guangzhou, China.
| | - P Ran
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, National Center for Respiratory Medicine, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China; Guangzhou Laboratory, Bio-island, Guangzhou, China.
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Wong PCM, Tsang SYC, Deng Z, Antoniou M. Foreign language training via mobile application to improve cognitive functions in patients with mild cognitive impairment: abridged secondary publication. Hong Kong Med J 2023; 29 Suppl 1:22-23. [PMID: 36919214] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/16/2023] Open
Affiliation(s)
- P C M Wong
- Department of Linguistics and Modern Language Studies, The Chinese University of Hong Kong, Hong Kong SAR, China.,Brain and Mind Institute, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - S Y C Tsang
- Brain and Mind Institute, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Z Deng
- Department of Applied Psychology, Guangdong University of Finance and Economics, China
| | - M Antoniou
- The MARCS Institute for Brain, Behaviour and Development, Western Sydney University, Australia
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Zhang ZY, Yang LT, Yue Q, Kang KJ, Li YJ, Agartioglu M, An HP, Chang JP, Chen YH, Cheng JP, Dai WH, Deng Z, Fang CH, Geng XP, Gong H, Guo QJ, Guo XY, He L, He SM, Hu JW, Huang HX, Huang TC, Jia HT, Jiang X, Li HB, Li JM, Li J, Li QY, Li RMJ, Li XQ, Li YL, Liang YF, Liao B, Lin FK, Lin ST, Liu SK, Liu YD, Liu Y, Liu YY, Liu ZZ, Ma H, Mao YC, Nie QY, Ning JH, Pan H, Qi NC, Ren J, Ruan XC, Saraswat K, Sharma V, She Z, Singh MK, Sun TX, Tang CJ, Tang WY, Tian Y, Wang GF, Wang L, Wang Q, Wang Y, Wang YX, Wong HT, Wu SY, Wu YC, Xing HY, Xu R, Xu Y, Xue T, Yan YL, Yeh CH, Yi N, Yu CX, Yu HJ, Yue JF, Zeng M, Zeng Z, Zhang BT, Zhang FS, Zhang L, Zhang ZH, Zhao KK, Zhao MG, Zhou JF, Zhou ZY, Zhu JJ. Constraints on Sub-GeV Dark Matter-Electron Scattering from the CDEX-10 Experiment. Phys Rev Lett 2022; 129:221301. [PMID: 36493436 DOI: 10.1103/physrevlett.129.221301] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/10/2022] [Revised: 08/25/2022] [Accepted: 10/20/2022] [Indexed: 06/17/2023]
Abstract
We present improved germanium-based constraints on sub-GeV dark matter via dark matter-electron (χ-e) scattering using the 205.4 kg·day dataset from the CDEX-10 experiment. Using a novel calculation technique, we attain predicted χ-e scattering spectra observable in high-purity germanium detectors. In the heavy mediator scenario, our results achieve 3 orders of magnitude of improvement for m_{χ} larger than 80 MeV/c^{2} compared to previous germanium-based χ-e results. We also present the most stringent χ-e cross-section limit to date among experiments using solid-state detectors for m_{χ} larger than 90 MeV/c^{2} with heavy mediators and m_{χ} larger than 100 MeV/c^{2} with electric dipole coupling. The result proves the feasibility and demonstrates the vast potential of a new χ-e detection method with high-purity germanium detectors in ultralow radioactive background.
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Affiliation(s)
- Z Y Zhang
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - L T Yang
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - Q Yue
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - K J Kang
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - Y J Li
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - M Agartioglu
- Institute of Physics, Academia Sinica, Taipei 11529
| | - H P An
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
- Department of Physics, Tsinghua University, Beijing 100084
| | | | - Y H Chen
- YaLong River Hydropower Development Company, Chengdu 610051
| | - J P Cheng
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
- College of Nuclear Science and Technology, Beijing Normal University, Beijing 100875
| | - W H Dai
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - Z Deng
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - C H Fang
- College of Physics, Sichuan University, Chengdu 610065
| | - X P Geng
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - H Gong
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - Q J Guo
- School of Physics, Peking University, Beijing 100871
| | - X Y Guo
- YaLong River Hydropower Development Company, Chengdu 610051
| | - L He
- NUCTECH Company, Beijing 100084
| | - S M He
- YaLong River Hydropower Development Company, Chengdu 610051
| | - J W Hu
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - H X Huang
- Department of Nuclear Physics, China Institute of Atomic Energy, Beijing 102413
| | - T C Huang
- Sino-French Institute of Nuclear and Technology, Sun Yat-sen University, Zhuhai 519082
| | - H T Jia
- College of Physics, Sichuan University, Chengdu 610065
| | - X Jiang
- College of Physics, Sichuan University, Chengdu 610065
| | - H B Li
- Institute of Physics, Academia Sinica, Taipei 11529
| | - J M Li
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - J Li
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - Q Y Li
- College of Physics, Sichuan University, Chengdu 610065
| | - R M J Li
- College of Physics, Sichuan University, Chengdu 610065
| | - X Q Li
- School of Physics, Nankai University, Tianjin 300071
| | - Y L Li
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - Y F Liang
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - B Liao
- College of Nuclear Science and Technology, Beijing Normal University, Beijing 100875
| | - F K Lin
- Institute of Physics, Academia Sinica, Taipei 11529
| | - S T Lin
- College of Physics, Sichuan University, Chengdu 610065
| | - S K Liu
- College of Physics, Sichuan University, Chengdu 610065
| | - Y D Liu
- College of Nuclear Science and Technology, Beijing Normal University, Beijing 100875
| | - Y Liu
- College of Physics, Sichuan University, Chengdu 610065
| | - Y Y Liu
- College of Nuclear Science and Technology, Beijing Normal University, Beijing 100875
| | - Z Z Liu
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - H Ma
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - Y C Mao
- School of Physics, Peking University, Beijing 100871
| | - Q Y Nie
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - J H Ning
- YaLong River Hydropower Development Company, Chengdu 610051
| | - H Pan
- NUCTECH Company, Beijing 100084
| | - N C Qi
- YaLong River Hydropower Development Company, Chengdu 610051
| | - J Ren
- Department of Nuclear Physics, China Institute of Atomic Energy, Beijing 102413
| | - X C Ruan
- Department of Nuclear Physics, China Institute of Atomic Energy, Beijing 102413
| | - K Saraswat
- Institute of Physics, Academia Sinica, Taipei 11529
| | - V Sharma
- Institute of Physics, Academia Sinica, Taipei 11529
- Department of Physics, Banaras Hindu University, Varanasi 221005, India
| | - Z She
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - M K Singh
- Institute of Physics, Academia Sinica, Taipei 11529
- Department of Physics, Banaras Hindu University, Varanasi 221005, India
| | - T X Sun
- College of Nuclear Science and Technology, Beijing Normal University, Beijing 100875
| | - C J Tang
- College of Physics, Sichuan University, Chengdu 610065
| | - W Y Tang
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - Y Tian
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - G F Wang
- College of Nuclear Science and Technology, Beijing Normal University, Beijing 100875
| | - L Wang
- Department of Physics, Beijing Normal University, Beijing 100875
| | - Q Wang
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
- Department of Physics, Tsinghua University, Beijing 100084
| | - Y Wang
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
- Department of Physics, Tsinghua University, Beijing 100084
| | - Y X Wang
- School of Physics, Peking University, Beijing 100871
| | - H T Wong
- Institute of Physics, Academia Sinica, Taipei 11529
| | - S Y Wu
- YaLong River Hydropower Development Company, Chengdu 610051
| | - Y C Wu
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - H Y Xing
- College of Physics, Sichuan University, Chengdu 610065
| | - R Xu
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - Y Xu
- School of Physics, Nankai University, Tianjin 300071
| | - T Xue
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - Y L Yan
- College of Physics, Sichuan University, Chengdu 610065
| | - C H Yeh
- Institute of Physics, Academia Sinica, Taipei 11529
| | - N Yi
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - C X Yu
- School of Physics, Nankai University, Tianjin 300071
| | - H J Yu
- NUCTECH Company, Beijing 100084
| | - J F Yue
- YaLong River Hydropower Development Company, Chengdu 610051
| | - M Zeng
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - Z Zeng
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - B T Zhang
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - F S Zhang
- College of Nuclear Science and Technology, Beijing Normal University, Beijing 100875
| | - L Zhang
- College of Physics, Sichuan University, Chengdu 610065
| | - Z H Zhang
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - K K Zhao
- College of Physics, Sichuan University, Chengdu 610065
| | - M G Zhao
- School of Physics, Nankai University, Tianjin 300071
| | - J F Zhou
- YaLong River Hydropower Development Company, Chengdu 610051
| | - Z Y Zhou
- Department of Nuclear Physics, China Institute of Atomic Energy, Beijing 102413
| | - J J Zhu
- College of Physics, Sichuan University, Chengdu 610065
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9
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Dai WH, Jia LP, Ma H, Yue Q, Kang KJ, Li YJ, An HP, C G, Chang JP, Chen YH, Cheng JP, Deng Z, Fang CH, Geng XP, Gong H, Guo QJ, Guo XY, He L, He SM, Hu JW, Huang HX, Huang TC, Jia HT, Jiang X, Karmakar S, Li HB, Li JM, Li J, Li QY, Li RMJ, Li XQ, Li YL, Liang YF, Liao B, Lin FK, Lin ST, Liu SK, Liu YD, Liu Y, Liu YY, Liu ZZ, Mao YC, Nie QY, Ning JH, Pan H, Qi NC, Ren J, Ruan XC, She Z, Singh MK, Sun TX, Tang CJ, Tang WY, Tian Y, Wang GF, Wang L, Wang Q, Wang Y, Wang YX, Wong HT, Wu SY, Wu YC, Xing HY, Xu R, Xu Y, Xue T, Yan YL, Yang LT, Yi N, Yu CX, Yu HJ, Yue JF, Zeng M, Zeng Z, Zhang BT, Zhang FS, Zhang L, Zhang ZH, Zhang ZY, Zhao KK, Zhao MG, Zhou JF, Zhou ZY, Zhu JJ. Exotic Dark Matter Search with the CDEX-10 Experiment at China's Jinping Underground Laboratory. Phys Rev Lett 2022; 129:221802. [PMID: 36493447 DOI: 10.1103/physrevlett.129.221802] [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] [Subscribe] [Scholar Register] [Received: 09/04/2022] [Accepted: 11/07/2022] [Indexed: 06/17/2023]
Abstract
A search for exotic dark matter (DM) in the sub-GeV mass range has been conducted using 205 kg day data taken from a p-type point contact germanium detector of the CDEX-10 experiment at China's Jinping underground laboratory. New low-mass dark matter searching channels, neutral current fermionic DM absorption (χ+A→ν+A) and DM-nucleus 3→2 scattering (χ+χ+A→ϕ+A), have been analyzed with an energy threshold of 160 eVee. No significant signal was found; thus new limits on the DM-nucleon interaction cross section are set for both models at the sub-GeV DM mass region. A cross section limit for the fermionic DM absorption is set to be 2.5×10^{-46} cm^{2} (90% C.L.) at DM mass of 10 MeV/c^{2}. For the DM-nucleus 3→2 scattering scenario, limits are extended to DM mass of 5 and 14 MeV/c^{2} for the massless dark photon and bound DM final state, respectively.
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Affiliation(s)
- W H Dai
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - L P Jia
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - H Ma
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - Q Yue
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - K J Kang
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - Y J Li
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - H P An
- Department of Physics, Tsinghua University, Beijing 100084
| | - Greeshma C
- Institute of Physics, Academia Sinica, Taipei 11529
| | | | - Y H Chen
- YaLong River Hydropower Development Company, Chengdu 610051
| | - J P Cheng
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
- College of Nuclear Science and Technology, Beijing Normal University, Beijing 100875
| | - Z Deng
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - C H Fang
- College of Physics, Sichuan University, Chengdu 610065
| | - X P Geng
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - H Gong
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - Q J Guo
- School of Physics, Peking University, Beijing 100871
| | - X Y Guo
- YaLong River Hydropower Development Company, Chengdu 610051
| | - L He
- NUCTECH Company, Beijing 100084
| | - S M He
- YaLong River Hydropower Development Company, Chengdu 610051
| | - J W Hu
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - H X Huang
- Department of Nuclear Physics, China Institute of Atomic Energy, Beijing 102413
| | - T C Huang
- Sino-French Institute of Nuclear and Technology, Sun Yat-sen University, Zhuhai 519082
| | - H T Jia
- College of Physics, Sichuan University, Chengdu 610065
| | - X Jiang
- College of Physics, Sichuan University, Chengdu 610065
| | - S Karmakar
- Institute of Physics, Academia Sinica, Taipei 11529
| | - H B Li
- Institute of Physics, Academia Sinica, Taipei 11529
| | - J M Li
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - J Li
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - Q Y Li
- College of Physics, Sichuan University, Chengdu 610065
| | - R M J Li
- College of Physics, Sichuan University, Chengdu 610065
| | - X Q Li
- School of Physics, Nankai University, Tianjin 300071
| | - Y L Li
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - Y F Liang
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - B Liao
- College of Nuclear Science and Technology, Beijing Normal University, Beijing 100875
| | - F K Lin
- Institute of Physics, Academia Sinica, Taipei 11529
| | - S T Lin
- College of Physics, Sichuan University, Chengdu 610065
| | - S K Liu
- College of Physics, Sichuan University, Chengdu 610065
| | - Y D Liu
- College of Nuclear Science and Technology, Beijing Normal University, Beijing 100875
| | - Y Liu
- College of Physics, Sichuan University, Chengdu 610065
| | - Y Y Liu
- College of Nuclear Science and Technology, Beijing Normal University, Beijing 100875
| | - Z Z Liu
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - Y C Mao
- School of Physics, Peking University, Beijing 100871
| | - Q Y Nie
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - J H Ning
- YaLong River Hydropower Development Company, Chengdu 610051
| | - H Pan
- NUCTECH Company, Beijing 100084
| | - N C Qi
- YaLong River Hydropower Development Company, Chengdu 610051
| | - J Ren
- Department of Nuclear Physics, China Institute of Atomic Energy, Beijing 102413
| | - X C Ruan
- Department of Nuclear Physics, China Institute of Atomic Energy, Beijing 102413
| | - Z She
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - M K Singh
- Institute of Physics, Academia Sinica, Taipei 11529
- Department of Physics, Banaras Hindu University, Varanasi 221005
| | - T X Sun
- College of Nuclear Science and Technology, Beijing Normal University, Beijing 100875
| | - C J Tang
- College of Physics, Sichuan University, Chengdu 610065
| | - W Y Tang
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - Y Tian
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - G F Wang
- College of Nuclear Science and Technology, Beijing Normal University, Beijing 100875
| | - L Wang
- Department of Physics, Beijing Normal University, Beijing 100875
| | - Q Wang
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
- Department of Physics, Tsinghua University, Beijing 100084
| | - Y Wang
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
- Department of Physics, Tsinghua University, Beijing 100084
| | - Y X Wang
- School of Physics, Peking University, Beijing 100871
| | - H T Wong
- Institute of Physics, Academia Sinica, Taipei 11529
| | - S Y Wu
- YaLong River Hydropower Development Company, Chengdu 610051
| | - Y C Wu
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - H Y Xing
- College of Physics, Sichuan University, Chengdu 610065
| | - R Xu
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - Y Xu
- School of Physics, Nankai University, Tianjin 300071
| | - T Xue
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - Y L Yan
- College of Physics, Sichuan University, Chengdu 610065
| | - L T Yang
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - N Yi
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - C X Yu
- School of Physics, Nankai University, Tianjin 300071
| | - H J Yu
- NUCTECH Company, Beijing 100084
| | - J F Yue
- YaLong River Hydropower Development Company, Chengdu 610051
| | - M Zeng
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - Z Zeng
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - B T Zhang
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - F S Zhang
- College of Nuclear Science and Technology, Beijing Normal University, Beijing 100875
| | - L Zhang
- College of Physics, Sichuan University, Chengdu 610065
| | - Z H Zhang
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - Z Y Zhang
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - K K Zhao
- College of Physics, Sichuan University, Chengdu 610065
| | - M G Zhao
- School of Physics, Nankai University, Tianjin 300071
| | - J F Zhou
- YaLong River Hydropower Development Company, Chengdu 610051
| | - Z Y Zhou
- Department of Nuclear Physics, China Institute of Atomic Energy, Beijing 102413
| | - J J Zhu
- College of Physics, Sichuan University, Chengdu 610065
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10
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Lu L, Qin J, Chen J, Yu N, Miyano S, Deng Z, Li C. Recent computational drug repositioning strategies against SARS-CoV-2. Comput Struct Biotechnol J 2022; 20:5713-5728. [PMID: 36277237 PMCID: PMC9575573 DOI: 10.1016/j.csbj.2022.10.017] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2022] [Revised: 10/12/2022] [Accepted: 10/12/2022] [Indexed: 11/08/2022] Open
Abstract
We performed a comprehensive review of computational drug repositioning methods applied to COVID-19 based on differing data types including sequence data, expression data, structure data and interaction data. We found that graph theory and neural network were the most used strategies for drug repositioning in the case of COVID-19. Integrating different levels of data may improve the success rate for drug repositioning.
Since COVID-19 emerged in 2019, significant levels of suffering and disruption have been caused on a global scale. Although vaccines have become widely used, the virus has shown its potential for evading immunities or acquiring other novel characteristics. Whether current drug treatments are still effective for people infected with Omicron remains unclear. Due to the long development cycles and high expense requirements of de novo drug development, many researchers have turned to consider drug repositioning in the search to find effective treatments for COVID-19. Here, we review such drug repositioning and combination efforts towards providing better handling. For potential drugs under consideration, aspects of both structure and function require attention, with specific categories of sequence, expression, structure, and interaction, the key parameters for investigation. For different data types, we show the corresponding differing drug repositioning methods that have been exploited. As incorporating drug combinations can increase therapeutic efficacy and reduce toxicity, we also review computational strategies to reveal drug combination potential. Taken together, we found that graph theory and neural network were the most used strategy with high potential towards drug repositioning for COVID-19. Integrating different levels of data may further improve the success rate of drug repositioning.
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Affiliation(s)
- Lu Lu
- Department of Human Genetics, Department of Ultrasound, Women's Hospital, Zhejiang University School of Medicine, Hangzhou, China,Zhejiang Provincial Key Laboratory of Genetic & Developmental Disorders, Zhejiang University School of Medicine, Hangzhou, China
| | - Jiale Qin
- Department of Human Genetics, Department of Ultrasound, Women's Hospital, Zhejiang University School of Medicine, Hangzhou, China,Zhejiang Provincial Key Laboratory of Precision Diagnosis and Therapy for Major Gynecological Diseases, Hangzhou, China
| | - Jiandong Chen
- Department of Human Genetics, Department of Ultrasound, Women's Hospital, Zhejiang University School of Medicine, Hangzhou, China,School of Public Health, Undergraduate School of Zhejiang University, Hangzhou, China
| | - Na Yu
- Department of Human Genetics, Department of Ultrasound, Women's Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Satoru Miyano
- M&D Data Science Center, Tokyo Medical and Dental University, Tokyo, Japan
| | - Zhenzhong Deng
- Xinhua Hospital, School of Medicine, Shanghai Jiaotong University, Shanghai, China,Corresponding authors at: Department of Human Genetics, Department of Ultrasound, Women's Hospital, Zhejiang University School of Medicine, Hangzhou, China (C. Li).
| | - Chen Li
- Department of Human Genetics, Department of Ultrasound, Women's Hospital, Zhejiang University School of Medicine, Hangzhou, China,Zhejiang Provincial Key Laboratory of Genetic & Developmental Disorders, Zhejiang University School of Medicine, Hangzhou, China,Alibaba-Zhejiang University Joint Research Center of Future Digital Healthcare, Hangzhou, China,Corresponding authors at: Department of Human Genetics, Department of Ultrasound, Women's Hospital, Zhejiang University School of Medicine, Hangzhou, China (C. Li).
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11
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Weng W, Yu L, Li Z, Tan C, Lv J, Lao IW, Hu W, Deng Z, Liu Z, Wang J, Xu M. The immune subtypes and landscape of sarcomas. BMC Immunol 2022; 23:46. [PMID: 36153483 PMCID: PMC9508767 DOI: 10.1186/s12865-022-00522-3] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2022] [Accepted: 09/14/2022] [Indexed: 11/10/2022] Open
Abstract
Abstract
Background
Considering the molecular heterogeneity of sarcomas and their immunologically quiet character, immunotherapy (e.g., immune checkpoint inhibitors) plays a viable role in only a subset of these tumors. This study aimed to determine the immune subtypes (IMSs) of sarcomas for selecting suitable patients from an extremely heterogeneous population.
Results
By performing consensus clustering analysis of the gene expression profiles of 538 patients with sarcomas in online databases, we stratified sarcomas into three IMSs characterized by different immune cell features, tumor mutational burdens (TMBs), gene mutations, and clinical outcomes. IMS1 showed an immune “hot” and immunosuppressive phenotype, the highest frequencies of CSMD3 mutation but the lowest frequencies of HMCN1 and LAMA2 mutations; these patients had the worst progression-free survival (PFS). IMS2 was defined by a high TMB and more gene mutations, but had the lowest frequency of MND1 mutations. IMS3 displayed the highest MDN1 expression level and an immune “cold” phenotype, these patients had the worst PFS. Each subtype was associated with different expression levels of immunogenic cell death modulators and immune checkpoints. Moreover, we applied graph learning-based dimensionality reduction to the immune landscape and identified significant intra-cluster heterogeneity within each IMS. Finally, we developed and validated an immune gene signature with good prognostic performance.
Conclusions
Our results provide a conceptual framework for understanding the immunological heterogeneity of sarcomas. The identification of immune-related subtypes may facilitate optimal selection of sarcoma patients who will respond to appropriate therapeutic strategies.
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12
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Xu R, Yang L, Yue Q, Kang K, Li Y, Agartioglu M, An H, Chang J, Chen Y, Cheng J, Dai W, Deng Z, Fang C, Geng X, Gong H, Guo X, Guo Q, He L, He S, Hu J, Huang H, Huang T, Jia H, Jiang X, Li H, Li J, Li J, Li Q, Li R, Li X, Li Y, Liang Y, Liao B, Lin F, Lin S, Liu S, Liu Y, Liu Y, Liu Y, Liu Z, Ma H, Mao Y, Nie Q, Ning J, Pan H, Qi N, Ren J, Ruan X, Saraswat K, Sharma V, She Z, Singh M, Sun T, Tang C, Tang W, Tian Y, Wang G, Wang L, Wang Q, Wang Y, Wang Y, Wong H, Wu S, Wu Y, Xing H, Xu Y, Xue T, Yan Y, Yeh C, Yi N, Yu C, Yu H, Yue J, Zeng M, Zeng Z, Zhang B, Zhang F, Zhang L, Zhang Z, Zhang Z, Zhao K, Zhao M, Zhou J, Zhou Z, Zhu J. Constraints on sub-GeV dark matter boosted by cosmic rays from the CDEX-10 experiment at the China Jinping Underground Laboratory. Int J Clin Exp Med 2022. [DOI: 10.1103/physrevd.106.052008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
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13
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Yu H, Zhang L, Cai Y, Hao Z, Luo Z, Peng T, Liu L, Wang N, Wang G, Deng Z, Zhan Y. Seroprevalence of antibodies to classical swine fever virus and porcine reproductive and respiratory syndrome virus in healthy pigs in Hunan Province, China. Pol J Vet Sci 2022; 25:375-381. [PMID: 36155561 DOI: 10.24425/pjvs.2022.142020] [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] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/16/2023]
Abstract
Classical swine fever (CSF) and porcine reproductive and respiratory syndrome (PRRS) are responsible for major economic losses and represent a threat to the swine industry worldwide. Routine surveillance serology for CSF and PRRS viruses is critical to maintaining the health status of sow farms in Hunan Province, which is one of the top pig production provinces in China. The aim of our study was to investigate the serological statistics of CSF virus (CSFV) and PRRS virus (PRRSV) in Hunan Province. The cohort serum samples were collected from vaccinated and unvaccinated pigs. Our findings showed that the average rates of CSFV and PRRSV antibody seropositivity were 82.2% (95% CI: 80.1-84.3) and 84.8% (95% CI: 82.5-87.1), respectively, in the immunized group and that these rates were higher than those in the unvaccinated group (58.6% for CSFV and 47.8% for PRRSV). Additionally, the level of CSFV antibody in piglet serum declined gradually with age, whereas PRRSV-specific antibody level increased initially (1 to 2 weeks old) and then declined with age (2 to 4 weeks old). In summary, we investigated the difference in CSFV/PRRSV antibody levels among piglets at various weeks old (1 to 4 weeks) to further establish the duration of maternal immunity in piglets. In addition, routine monitoring of CSFV/PRRSV antibodies in immunized pigs was carried out to evaluate the efficacy of vaccination.
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Affiliation(s)
- H Yu
- Provincial Key Laboratory of Protein Engineering in Animal Vaccines, Research Center of Reverse Vaccinology (RCRV), and Laboratory of Functional Proteomics (LFP), College of Veterinary Medicine, Hunan Agricultural University, Changsha, Hunan 410128, China
| | - L Zhang
- Provincial Key Laboratory of Protein Engineering in Animal Vaccines, Research Center of Reverse Vaccinology (RCRV), and Laboratory of Functional Proteomics (LFP), College of Veterinary Medicine, Hunan Agricultural University, Changsha, Hunan 410128, China
| | - Y Cai
- Provincial Key Laboratory of Protein Engineering in Animal Vaccines, Research Center of Reverse Vaccinology (RCRV), and Laboratory of Functional Proteomics (LFP), College of Veterinary Medicine, Hunan Agricultural University, Changsha, Hunan 410128, China
| | - Z Hao
- Yongzhou Animal Husbandry and Aquatic Affairs Center, Yongzhou, Hunan 425000, China
| | - Z Luo
- Dingcheng Animal Husbandry and Aquatic Affairs Center, Changde, Hunan 415100, China
| | - T Peng
- Provincial Key Laboratory of Protein Engineering in Animal Vaccines, Research Center of Reverse Vaccinology (RCRV), and Laboratory of Functional Proteomics (LFP), College of Veterinary Medicine, Hunan Agricultural University, Changsha, Hunan 410128, China
| | - L Liu
- Provincial Key Laboratory of Protein Engineering in Animal Vaccines, Research Center of Reverse Vaccinology (RCRV), and Laboratory of Functional Proteomics (LFP), College of Veterinary Medicine, Hunan Agricultural University, Changsha, Hunan 410128, China
| | - N Wang
- Provincial Key Laboratory of Protein Engineering in Animal Vaccines, Research Center of Reverse Vaccinology (RCRV), and Laboratory of Functional Proteomics (LFP), College of Veterinary Medicine, Hunan Agricultural University, Changsha, Hunan 410128, China
| | - G Wang
- Provincial Key Laboratory of Protein Engineering in Animal Vaccines, Research Center of Reverse Vaccinology (RCRV), and Laboratory of Functional Proteomics (LFP), College of Veterinary Medicine, Hunan Agricultural University, Changsha, Hunan 410128, China
| | - Z Deng
- Provincial Key Laboratory of Protein Engineering in Animal Vaccines, Research Center of Reverse Vaccinology (RCRV), and Laboratory of Functional Proteomics (LFP), College of Veterinary Medicine, Hunan Agricultural University, Changsha, Hunan 410128, China
| | - Y Zhan
- Provincial Key Laboratory of Protein Engineering in Animal Vaccines, Research Center of Reverse Vaccinology (RCRV), and Laboratory of Functional Proteomics (LFP), College of Veterinary Medicine, Hunan Agricultural University, Changsha, Hunan 410128, China
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Lin Y, Yang H, Shi F, Yang A, Han X, Liu B, Li Z, Ji Q, Tang L, Deng Z, Ding Y, Fu W, Xie X, Li L, He X, Lv Z, Wu L, Liu L. 1644O Donafenib in locally advanced/metastatic, radioactive iodine-refractory, differentiated thyroid cancer: A randomized, double-blind, placebo-controlled, multi-center phase III clinical trial (DIRECTION). Ann Oncol 2022. [DOI: 10.1016/j.annonc.2022.07.1724] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022] Open
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15
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Xu M, Chang J, Wang W, Wang X, Wang X, Weng W, Tan C, Zhang M, Ni S, Wang L, Huang Z, Deng Z, Li W, Huang D, Sheng W. Classification of colon adenocarcinoma based on immunological characterizations: Implications for prognosis and immunotherapy. Front Immunol 2022; 13:934083. [PMID: 35967414 PMCID: PMC9363576 DOI: 10.3389/fimmu.2022.934083] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2022] [Accepted: 06/28/2022] [Indexed: 12/03/2022] Open
Abstract
Accurate immune molecular typing is pivotal for screening out patients with colon adenocarcinoma (COAD) who may benefit from immunotherapy and whose tumor microenvironment (TME) was needed for reprogramming to beneficial immune-mediated responses. However, little is known about the immune characteristic of COAD. Here, by calculating the enrichment score of immune characteristics in three online COAD datasets (TCGA-COAD, GSE39582, and GSE17538), we identified 17 prognostic-related immune characteristics that overlapped in at least two datasets. We determined that COADs could be stratified into three immune subtypes (IS1–IS3), based on consensus clustering of these 17 immune characteristics. Each of the three ISs was associated with distinct clinicopathological characteristics, genetic aberrations, tumor-infiltrating immune cell composition, immunophenotyping (immune “hot” and immune “cold”), and cytokine profiles, as well as different clinical outcomes and immunotherapy/therapeutic response. Patients with the IS1 tumor had high immune infiltration but immunosuppressive phenotype, IS3 tumor is an immune “hot” phenotype, whereas those with the IS2 tumor had an immune “cold” phenotype. We further verified the distinct immune phenotype of IS1 and IS3 by an in-house COAD cohort. We propose that the immune subtyping can be utilized to identify COAD patients who will be affected by the tumor immune microenvironment. Furthermore, the ISs may provide a guide for personalized cancer immunotherapy and for tumor prognosis.
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Affiliation(s)
- Midie Xu
- Department of Pathology, Fudan University Shanghai Cancer Center, Shanghai, China
- Department of Oncology, Shanghai Medical college, Fudan University, Shanghai, China
- Institute of Pathology, Fudan University, Shanghai, China
| | - Jinjia Chang
- Department of Oncology, Shanghai Medical college, Fudan University, Shanghai, China
- Department of Medical Oncology, Fudan University Shanghai Cancer Center, Shanghai, China
| | - Wenfeng Wang
- Shanghai Urological Cancer Institute, Cancer Institute, Fudan University Shanghai Cancer Center, Fudan University, Shanghai, China
| | - Xin Wang
- Department of Pathology, Fudan University Shanghai Cancer Center, Shanghai, China
- Department of Oncology, Shanghai Medical college, Fudan University, Shanghai, China
- Institute of Pathology, Fudan University, Shanghai, China
| | - Xu Wang
- Department of Pathology, Fudan University Shanghai Cancer Center, Shanghai, China
- Department of Oncology, Shanghai Medical college, Fudan University, Shanghai, China
- Institute of Pathology, Fudan University, Shanghai, China
| | - Weiwei Weng
- Department of Pathology, Fudan University Shanghai Cancer Center, Shanghai, China
- Department of Oncology, Shanghai Medical college, Fudan University, Shanghai, China
- Institute of Pathology, Fudan University, Shanghai, China
| | - Cong Tan
- Department of Pathology, Fudan University Shanghai Cancer Center, Shanghai, China
- Department of Oncology, Shanghai Medical college, Fudan University, Shanghai, China
- Institute of Pathology, Fudan University, Shanghai, China
| | - Meng Zhang
- Department of Pathology, Fudan University Shanghai Cancer Center, Shanghai, China
- Department of Oncology, Shanghai Medical college, Fudan University, Shanghai, China
- Institute of Pathology, Fudan University, Shanghai, China
| | - Shujuan Ni
- Department of Pathology, Fudan University Shanghai Cancer Center, Shanghai, China
- Department of Oncology, Shanghai Medical college, Fudan University, Shanghai, China
- Institute of Pathology, Fudan University, Shanghai, China
| | - Lei Wang
- Department of Pathology, Fudan University Shanghai Cancer Center, Shanghai, China
- Department of Oncology, Shanghai Medical college, Fudan University, Shanghai, China
- Institute of Pathology, Fudan University, Shanghai, China
| | - Zhaohui Huang
- Wuxi Cancer Institute, Affiliated Hospital of Jiangnan University, Wuxi, China
| | - Zhenzhong Deng
- Department of Oncology, Xinhua Hospital, School of Medicine, Shanghai Jiaotong University, Shanghai, China
- *Correspondence: Weiqi Sheng, ; Dan Huang, ; Wenhua Li, ; Zhenzhong Deng,
| | - Wenhua Li
- Department of Oncology, Shanghai Medical college, Fudan University, Shanghai, China
- Department of Medical Oncology, Fudan University Shanghai Cancer Center, Shanghai, China
- *Correspondence: Weiqi Sheng, ; Dan Huang, ; Wenhua Li, ; Zhenzhong Deng,
| | - Dan Huang
- Department of Pathology, Fudan University Shanghai Cancer Center, Shanghai, China
- Department of Oncology, Shanghai Medical college, Fudan University, Shanghai, China
- Institute of Pathology, Fudan University, Shanghai, China
- *Correspondence: Weiqi Sheng, ; Dan Huang, ; Wenhua Li, ; Zhenzhong Deng,
| | - Weiqi Sheng
- Department of Pathology, Fudan University Shanghai Cancer Center, Shanghai, China
- Department of Oncology, Shanghai Medical college, Fudan University, Shanghai, China
- Institute of Pathology, Fudan University, Shanghai, China
- *Correspondence: Weiqi Sheng, ; Dan Huang, ; Wenhua Li, ; Zhenzhong Deng,
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Casal Moura M, Deng Z, Brooks S, Tew W, Hummel A, Fervenza F, Kallenberg C, Langford C, Merkel PA, Monach PA, Seo P, Spiera R, St. Clair W, Stone JH, Prunotto M, Grayson P, Specks U. POS0244 ASSOCIATION OF PROTEINASE 3 GENE (PRTN3) Val119Ile POLYMORPHISM (SNP rs351111) WITH RISK OF RELAPSE AMONG HOMOZYGOUS PATIENTS WITH PR3 ANCA-ASSOCIATED VASCULITIS. Ann Rheum Dis 2022. [DOI: 10.1136/annrheumdis-2022-eular.4977] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
Abstract
BackgroundThe frequency of the proteinase 3 gene (PRTN3) polymorphisms in patients with ANCA-associated vasculitis (AAV) is not well characterized. We hypothesize that PRTN3 gene polymorphisms induce allosteric changes in PR3 conformation which may alter its interaction with ligands and PR3-ANCA during inflammation with potential implications for disease presentation and clinical outcomes.ObjectivesTo analyze the association of PRTN3 Val119Ile polymorphism (SNP rs351111) with risk of relapse risk among homozygous patients with PR3 ANCA-associated vasculitis.MethodsDNA variant calling for SNP rs351111 (chr.19:844020, c.355G>A) in PRTN3 gene assessed the allelic frequency in patients with PR3-AAV included in the Rituximab versus Cyclophosphamide (RAVE) trial. This was followed by RNA-seq variant calling to characterize the mRNA expression. We compared clinical presentation and outcomes between patients homozygous for PR3-Ile119 or PR3-Val119.ResultsSerum samples for DNA calling were available in 188 of the 197 patients with AAV in the RAVE cohort. 75 PR3-AAV patients had the allelic variant: 13 patients were homozygous for PR3-Ile119 and 62 patients were heterozygous PR3-Val119Ile with an allele frequency threshold of 29.3 – 55.1% of reads (Figure 1A and 1B). RNA-seq was available for 89 patients and the mRNA corresponding to the allelic variant was found in 35 PR3-AAV patients: 13 patients were homozygous for PR3-Ile119 and 22 patients were heterozygous PR3-Val119Ile with an allele frequency threshold of 11.1 – 62.8% of reads (Figure 1A and 1C). The agreement between the DNA calling results and the mRNA expression of the 86 patients that overlapped was 100%. We found an additional homozygous patient for PR3-Val119 in which blood was not available for DNA calling. We compared the clinical presentation and outcomes of 74 patients with PR3-AAV: 13 homozygous for PR3-Ile119 and 51 homozygous for PR3-Val119 (Table 1). The frequency of severe flares at 18 months in homozygous PR3-Ile119 was ≥ 2x higher when compared with homozygous PR3-Val119 (46.2% vs. 19.6%, p=0.048). We found no differences in clinical presentation.Figure 1.RAVE trial population distribution according to the zygosity status for PRTN3 gene (PR3 and MPO-ANCA patients) and DNA or RNA variant calling (panel A). Allelic frequency for rs351111, chr.19:844020 (c.355G>A) in PRTN3 among patients with AAV (PR3 and MPO-ANCA) in the DNA (panel B) and RNA (panel C) variant calling.Table 1.Outcomes of patients with PR3-ANCA according with PRTN3 zygosity.PR3-ANCA (n=64)Homozygous PR3-Val119(n=51)HomozygousPR3-Ile119(n=13)p-value Remission, n (%)45 (88.2)13 (100)0.194 Complete remission, n (%)36 (70.6)10 (76.9)0.650 Any flare 18 months, n (%)30 (58.8)7 (53.8)0.746 Severe Relapse* 18 months, n (%)10 (19.6)6 (46.2)0.048* Relapse was considered “Severe” if Birmingham Vasculitis Activity Score for Wegener’s Granulomatosis (BVAS/WG) > 3 or one major item as per the RAVE trial definition.Abbreviations: ANCA - anti-neutrophil cytoplasmic antibody; Ile – isoleucine; n- number; PR3 - proteinase 3; Val - valine.ConclusionIn patients with PR3-AAV the presence of PRTN3 Val119Ile polymorphism was associated with higher frequency of severe relapse. Further studies are necessary to understand the association of this observation with the risk of severe relapse.References[1]Stone JH et al N Engl J Med 2010; 363:221-232Disclosure of InterestsNone declared
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Feng Y, Zhang F, Huang S, Deng Z, Bai L, Zheng J. Structural visualization of transient interactions between the cis-acting acyltransferase and acyl carrier protein of the salinomycin modular polyketide synthase. Acta Crystallogr D Struct Biol 2022; 78:779-791. [DOI: 10.1107/s2059798322004612] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/23/2021] [Accepted: 05/02/2022] [Indexed: 11/10/2022]
Abstract
Transient protein–protein interactions between cis-acting acyltransferase (AT) and acyl carrier protein (ACP) domains are critical for the catalysis and processivity of modular polyketide synthases (mPKSs), but are challenging for structural characterization due to the intrinsically weak binding affinity. Here, a stable complex of cis-acting AT and ACP domains from the ninth module of the salinomycin mPKS was obtained using a maleimide cross-linker and the structure of the complex was determined at 2.6 Å resolution. The crystal structure shows that the AT in combination with the ketosynthase (KS)-to-AT linker forms a C-shaped architecture to embrace the ACP. The large hydrolase subdomain of the AT serves as a major binding platform for the ACP, while the small ferredoxin-like subdomain of the AT and the KS-to-AT linker cooperate with each other to constrain binding of the ACP. The importance of interface residues in cis-acting AT–ACP interactions was confirmed by mutagenesis assays. The interaction mode observed in the cis-acting AT–ACP complex is completely different from those observed in trans-acting AT–ACP complexes, where the ACP primarily contacts the small domain of the AT. The complex structure provides detailed mechanistic insights into AT–ACP recognition in cis-AT mPKSs.
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18
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Corbi F, Bedford J, Poli P, Funiciello F, Deng Z. Probing the seismic cycle timing with coseismic twisting of subduction margins. Nat Commun 2022; 13:1911. [PMID: 35396397 PMCID: PMC8993884 DOI: 10.1038/s41467-022-29564-2] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2021] [Accepted: 03/15/2022] [Indexed: 11/09/2022] Open
Abstract
Assessing the timing of great megathrust earthquakes is together crucial for seismic hazard analysis and deemed impossible. Geodetic instrumentation of subduction zones has revealed unexpected deformation patterns at subduction segments adjacent to those that hosted recent mega-earthquakes: coastal sites move landward with faster velocities than before the earthquake. Here, we show observations from the largest and best-monitored megathrust earthquakes, and from a scaled analog model, to reveal that these events create coseismic and postseismic deformation patterns typical of a complete gear-like rotation about a vertical axis, hereafter called twisting. We find that such twisting alters the interseismic velocity field of adjacent subduction segments depending on the time since the last earthquake. Early interactions accelerate while late interactions decelerate local kinematics. This finding opens the possibility of using megathrust earthquakes, the characteristics of the twisting pattern, and the ensuing geodetic velocity changes, as a proxy for estimating the timing of the seismic cycle at unruptured segments along the margin. Satellite geodesy and downscaled laboratory experiments reveal that great subduction earthquakes trigger step changes in kinematics of neighboring segments. This signal is potentially informative of the timing of the seismic cycle.
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Affiliation(s)
- F Corbi
- Istituto di Geologia Ambientale e Geoingegneria - CNR c/o Dipartimento di Scienze della Terra, Sapienza Università di Roma, Rome, Italy.
| | - J Bedford
- Helmholtz Centre Potsdam - GFZ German Research Centre for Geosciences, Potsdam, Germany
| | - P Poli
- Université Grenoble Alpes, CNRS, ISTerre, Grenoble, France
| | - F Funiciello
- Università "Roma TRE", Dip. Scienze, Laboratory of Experimental Tectonics, Rome, Italy
| | - Z Deng
- Helmholtz Centre Potsdam - GFZ German Research Centre for Geosciences, Potsdam, Germany
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19
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Gu H, He X, Wu Y, Deng S, Jiang Y, Yu J, Deng Z, Xing K, Wang Z. Examining differentiation of sympatric
Schizothorax
fishes reveals low differentiation in internal compared to external feeding traits. J Zool (1987) 2022. [DOI: 10.1111/jzo.12956] [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: 11/27/2022]
Affiliation(s)
- H. Gu
- Key Laboratory of Freshwater Fish Reproduction and Development (Ministry of Education) Key Laboratory of Aquatic Science of Chongqing School of Life Sciences Southwest University Chongqing China
| | - X. He
- Sichuan Lubei Biotechnology Company Limited Chengdu China
| | - Y. Wu
- Sichuan Lubei Biotechnology Company Limited Chengdu China
| | - S. Deng
- Liangshan Kehua Water Ecology Company Limited Xichang China
| | - Y. Jiang
- Butuo Agriculture and Rural Affairs Bureau Butuo China
| | - J. Yu
- Zhaojue Agriculture and Rural Affairs Bureau Zhaojue China
| | - Z. Deng
- Liangshan Kehua Water Ecology Company Limited Xichang China
| | - K. Xing
- Xichang Agriculture and Rural Affairs Bureau Xichang China
| | - Z. Wang
- Key Laboratory of Freshwater Fish Reproduction and Development (Ministry of Education) Key Laboratory of Aquatic Science of Chongqing School of Life Sciences Southwest University Chongqing China
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20
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Li FY, Deng Z. [Progress in the pathogenesis of post-infectious persistent cough]. Zhonghua Jie He He Hu Xi Za Zhi 2022; 45:213-217. [PMID: 35135092 DOI: 10.3760/cma.j.cn112147-20210610-00415] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Abstract
Respiratory viral infection is a common cause of acute cough. After the cause has been cleared and the symptoms such as fever, nasal congestion and runny nose have been relieved, some patients still have persistent cough. These phenomena indicate that respiratory viruses may mediate cough hypersensitivity and lead to the occurrence of sub-acute or chronic cough. Cough response to viral infection is a protective strategy to prevent the spread of the viruses from the upper respiratory tract to other sites, but excessive coughing becomes a disease. In this review, we introduced the research progress in the pathophysiological mechanism of post-viral persistent cough or chronic cough.
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Affiliation(s)
- F Y Li
- Guangzhou Institute of Respiratory Health, State Key Laboratory of Respiratory Disease, National Center for Respiratory Medicine, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou 510120, China
| | - Z Deng
- Guangzhou Institute of Respiratory Health, State Key Laboratory of Respiratory Disease, National Center for Respiratory Medicine, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou 510120, China
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21
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Feng H, Deng Z, Ruan Y, Liu J, Wang T. Circular RNA EPHA3 suppresses prostate cancer cells proliferation and metastasis through miR-513a-3p/ SOX6 axis. Eur Urol 2022. [DOI: 10.1016/s0302-2838(22)00505-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
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22
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Chen P, Yu M, Deng Z, Zhang M, Liu J, Fan J, Hu C, Tu L. Rotary table wobble error analysis and correction of a rotating accelerometer gravity gradiometer. Rev Sci Instrum 2022; 93:024501. [PMID: 35232129 DOI: 10.1063/5.0077151] [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: 10/31/2021] [Accepted: 01/07/2022] [Indexed: 06/14/2023]
Abstract
In a rotating accelerometer gravity gradiometer (RAGG), rotary table wobble refers to the shift in the direction of the spin axis during operation. This motion causes errors in the output of the RAGG, but the mechanism is not clear. The purpose of this paper is to analyze the relationship between rotary table wobble and RAGG errors and to propose a method for rejecting these errors. We consider the influence of attitude changes, angular velocity, and angular acceleration caused by the wobble on the specific force, and we describe the error transmission process based on the accelerometer configuration and its measurement principle. Furthermore, we show through a simulated experiment that when the angular velocity noise caused by the wobble is 1 μrad/s, this will produce errors of tens of E. We propose a post-error correction method that is based on the higher-precision RAGG model and motion measurement. The errors in the two channels of the RAGG are reduced to 3.69 E and 1.85 E after error correction. The error analysis of the effects of wobble on a RAGG and the proposed error correction method are of great significance for the development of high-precision gradiometers.
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Affiliation(s)
- P Chen
- MOE Key Laboratory of Fundamental Physical Quantities Measurement & Hubei Key Laboratory of Gravitation and Quantum Physics, PGMF and School of Physics, Huazhong University of Science and Technology, Wuhan 430074, People's Republic of China
| | - M Yu
- MOE Key Laboratory of Fundamental Physical Quantities Measurement & Hubei Key Laboratory of Gravitation and Quantum Physics, PGMF and School of Physics, Huazhong University of Science and Technology, Wuhan 430074, People's Republic of China
| | - Z Deng
- MOE Key Laboratory of Fundamental Physical Quantities Measurement & Hubei Key Laboratory of Gravitation and Quantum Physics, PGMF and School of Physics, Huazhong University of Science and Technology, Wuhan 430074, People's Republic of China
| | - M Zhang
- MOE Key Laboratory of Fundamental Physical Quantities Measurement & Hubei Key Laboratory of Gravitation and Quantum Physics, PGMF and School of Physics, Huazhong University of Science and Technology, Wuhan 430074, People's Republic of China
| | - J Liu
- MOE Key Laboratory of Fundamental Physical Quantities Measurement & Hubei Key Laboratory of Gravitation and Quantum Physics, PGMF and School of Physics, Huazhong University of Science and Technology, Wuhan 430074, People's Republic of China
| | - J Fan
- MOE Key Laboratory of Fundamental Physical Quantities Measurement & Hubei Key Laboratory of Gravitation and Quantum Physics, PGMF and School of Physics, Huazhong University of Science and Technology, Wuhan 430074, People's Republic of China
| | - C Hu
- MOE Key Laboratory of Fundamental Physical Quantities Measurement & Hubei Key Laboratory of Gravitation and Quantum Physics, PGMF and School of Physics, Huazhong University of Science and Technology, Wuhan 430074, People's Republic of China
| | - L Tu
- MOE Key Laboratory of Fundamental Physical Quantities Measurement & Hubei Key Laboratory of Gravitation and Quantum Physics, PGMF and School of Physics, Huazhong University of Science and Technology, Wuhan 430074, People's Republic of China
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23
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Ding L, Zhou R, Yuan Y, Yang H, Li J, Yu T, Liu C, Wang J, Li S, Gao H, Deng Z, Li N, Wang Z, Gong Z, Liu G, Xie J, Wang S, Rong Z, Deng D, Wang X, Han S, Wan W, Richter L, Huang L, Gou S, Liu Z, Yu H, Jia Y, Chen B, Dang Z, Zhang K, Li L, He X, Liu S, Di K. A 2-year locomotive exploration and scientific investigation of the lunar farside by the Yutu-2 rover. Sci Robot 2022; 7:eabj6660. [PMID: 35044796 DOI: 10.1126/scirobotics.abj6660] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/02/2022]
Abstract
The lunar nearside has been investigated by many uncrewed and crewed missions, but the farside of the Moon remains poorly known. Lunar farside exploration is challenging because maneuvering rovers with efficient locomotion in harsh extraterrestrial environment is necessary to explore geological characteristics of scientific interest. Chang'E-4 mission successfully targeted the Moon's farside and deployed a teleoperated rover (Yutu-2) to explore inside the Von Kármán crater, conveying rich information regarding regolith, craters, and rocks. Here, we report mobile exploration on the lunar farside with Yutu-2 over the initial 2 years. During its journey, Yutu-2 has experienced varying degrees of mild slip and skid, indicating that the terrain is relatively flat at large scales but scattered with local gentle slopes. Cloddy soil sticking on its wheels implies a greater cohesion of the lunar soil than encountered at other lunar landing sites. Further identification results indicate that the regolith resembles dry sand and sandy loam on Earth in bearing properties, demonstrating greater bearing strength than that identified during the Apollo missions. In sharp contrast to the sparsity of rocks along the traverse route, small fresh craters with unilateral moldable ejecta are abundant, and some of them contain high-reflectance materials at the bottom, suggestive of secondary impact events. These findings hint at notable differences in the surface geology between the lunar farside and nearside. Experience gained with Yutu-2 improves the understanding of the farside of the Moon, which, in return, may lead to locomotion with improved efficiency and larger range.
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Affiliation(s)
- L Ding
- State Key Laboratory of Robotics and System, Harbin Institute of Technology, Harbin 150080, China
| | - R Zhou
- State Key Laboratory of Robotics and System, Harbin Institute of Technology, Harbin 150080, China
| | - Y Yuan
- State Key Laboratory of Robotics and System, Harbin Institute of Technology, Harbin 150080, China
| | - H Yang
- State Key Laboratory of Robotics and System, Harbin Institute of Technology, Harbin 150080, China
| | - J Li
- Beijing Aerospace Control Center, Beijing 100094, China
| | - T Yu
- Beijing Aerospace Control Center, Beijing 100094, China
| | - C Liu
- Beijing Aerospace Control Center, Beijing 100094, China.,Key Laboratory of Science and Technology on Aerospace Flight Dynamics, Beijing 100094, China
| | - J Wang
- Beijing Aerospace Control Center, Beijing 100094, China
| | - S Li
- State Key Laboratory of Robotics and System, Harbin Institute of Technology, Harbin 150080, China
| | - H Gao
- State Key Laboratory of Robotics and System, Harbin Institute of Technology, Harbin 150080, China
| | - Z Deng
- State Key Laboratory of Robotics and System, Harbin Institute of Technology, Harbin 150080, China
| | - N Li
- State Key Laboratory of Robotics and System, Harbin Institute of Technology, Harbin 150080, China
| | - Z Wang
- State Key Laboratory of Robotics and System, Harbin Institute of Technology, Harbin 150080, China
| | - Z Gong
- State Key Laboratory of Robotics and System, Harbin Institute of Technology, Harbin 150080, China
| | - G Liu
- Department of Aerospace Engineering, Ryerson University, Toronto, ON M5B 2K3, Canada
| | - J Xie
- Beijing Aerospace Control Center, Beijing 100094, China
| | - S Wang
- Beijing Aerospace Control Center, Beijing 100094, China
| | - Z Rong
- Beijing Aerospace Control Center, Beijing 100094, China
| | - D Deng
- Beijing Aerospace Control Center, Beijing 100094, China
| | - X Wang
- Beijing Aerospace Control Center, Beijing 100094, China.,Key Laboratory of Science and Technology on Aerospace Flight Dynamics, Beijing 100094, China
| | - S Han
- Beijing Aerospace Control Center, Beijing 100094, China
| | - W Wan
- State Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, China
| | - L Richter
- Large Space Structures GmbH, Hauptstrasse 1, D-85386 Eching, Germany
| | - L Huang
- State Key Laboratory of Robotics and System, Harbin Institute of Technology, Harbin 150080, China
| | - S Gou
- State Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, China
| | - Z Liu
- State Key Laboratory of Robotics and System, Harbin Institute of Technology, Harbin 150080, China
| | - H Yu
- State Key Laboratory of Robotics and System, Harbin Institute of Technology, Harbin 150080, China
| | - Y Jia
- China Academy of Space Technology, Beijing 100094, China
| | - B Chen
- China Academy of Space Technology, Beijing 100094, China
| | - Z Dang
- China Academy of Space Technology, Beijing 100094, China
| | - K Zhang
- Beijing Aerospace Control Center, Beijing 100094, China
| | - L Li
- Beijing Aerospace Control Center, Beijing 100094, China
| | - X He
- Beijing Aerospace Control Center, Beijing 100094, China
| | - S Liu
- Beijing Aerospace Control Center, Beijing 100094, China
| | - K Di
- State Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, China
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Zeng X, Chunyang L, Hao Y, Wang D, Fan F, Wang C, Deng Z, Guo H, Wang Z. Pregnancy diagnosis and fetal monitoring in Yangtze finless porpoises. ENDANGER SPECIES RES 2022. [DOI: 10.3354/esr01179] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022] Open
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25
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Deng Z, Xu X, Dehghani H, Reyes J, Wong J, Tran P, Wang K. Quantification of Tumor Location and Growth for Orthotopic Pancreatic Cancer Model Using Bioluminescence Tomography-Guided System. Int J Radiat Oncol Biol Phys 2021. [DOI: 10.1016/j.ijrobp.2021.07.225] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
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Chen N, Wu H, Deng Z, Liao Z, Feng S, Luo Z, Chu Y, Qiu G, Li X, Jin Y, Rong S, Wang F, Gan L, Chen R, Zhao L. [An optimized protocol of meniscus cell extraction for single-cell RNA sequencing]. Nan Fang Yi Ke Da Xue Xue Bao 2021; 41:1310-1318. [PMID: 34658344 DOI: 10.12122/j.issn.1673-4254.2021.09.04] [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] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
Abstract
OBJECTIVE To optimize the protocol of meniscus cell extraction to enhance the efficiency of cell suspension preparation and maintain a high cell viability for single-cell RNA sequencing. METHODS We compared the efficiency of the routine cell extraction methods (short-time digestion and long-time digestion) and the optimized protocol for obtaining meniscus cell suspensions by evaluating the cell number obtained and the cell viability. Single-cell RNA sequencing datasets were analyzed to evaluate the stability of the cell suspension prepared using the optimized protocol. The reliability of the optimized protocol was assessed by comparing the single-cell RNA sequencing dataset obtained by the optimized protocol with published single-cell RNA sequencing datasets of the meniscus. RESULTS The optimized protocol harvested a greater number of cells (over 1×105) than the routine protocols. The cell suspension prepared with the optimized protocol showed a cell viability higher than 80%, the highest among the 3 methods. Analysis of single-cell RNA sequencing datasets showed that the ratio of the mitochondrial genes was below 20% in over 80% of the cells. CD34+ cells, MCAM+ cells and COL1A1+ cells were identified in the datasets. Comparison with the publish datasets showed that the optimized protocol was capable of harvesting COL3A1+, COL1A1+, MYLK+, BMP2+, CD93+ and CDK1+ cells. CONCLUSION Single-cell suspension prepared from the meniscus can be stably obtained using the optimized protocol for single-cell RNA sequencing using the 10× Genomics platform.
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Affiliation(s)
- N Chen
- Department of Orthopedics, Nanfang Hospital, Southern Medical University, Guangzhou 510515, China
| | - H Wu
- Zhujiang Hospital, Southern Medical University, Guangzhou 510080, China
| | - Z Deng
- Department of Orthopedics, Nanfang Hospital, Southern Medical University, Guangzhou 510515, China
| | - Z Liao
- Department of Orthopedics, Nanfang Hospital, Southern Medical University, Guangzhou 510515, China
| | - S Feng
- Department of Orthopedics, Nanfang Hospital, Southern Medical University, Guangzhou 510515, China
| | - Z Luo
- Department of Orthopedics, Nanfang Hospital, Southern Medical University, Guangzhou 510515, China
| | - Y Chu
- Department of Orthopedics, Nanfang Hospital, Southern Medical University, Guangzhou 510515, China
| | - G Qiu
- Department of Orthopedics, Nanfang Hospital, Southern Medical University, Guangzhou 510515, China
| | - X Li
- Department of Orthopedics, Nanfang Hospital, Southern Medical University, Guangzhou 510515, China
| | - Y Jin
- Department of Orthopedics, Nanfang Hospital, Southern Medical University, Guangzhou 510515, China
| | - S Rong
- Department of Orthopedics, Nanfang Hospital, Southern Medical University, Guangzhou 510515, China
| | - F Wang
- Department of Orthopedics, Nanfang Hospital, Southern Medical University, Guangzhou 510515, China
| | - L Gan
- Department of Orthopedics, Nanfang Hospital, Southern Medical University, Guangzhou 510515, China
| | - R Chen
- Department of Orthopedics, Nanfang Hospital, Southern Medical University, Guangzhou 510515, China
| | - L Zhao
- Department of Orthopedics, Nanfang Hospital, Southern Medical University, Guangzhou 510515, China
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Deng Z, Lam TJGM, Hogeveen H, Koop G. Regularly fluctuating somatic cell count pattern in dairy herds. J Dairy Sci 2021; 104:11126-11134. [PMID: 34275629 DOI: 10.3168/jds.2020-20063] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [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: 12/21/2020] [Accepted: 06/04/2021] [Indexed: 11/19/2022]
Abstract
Online somatic cell count (SCC) measurement is widely used in dairy herds milked with automatic milking systems (AMS) and gives the opportunity to closely monitor individual cow udder health. Using automated SCC data, we observed cows displaying a remarkably regularly fluctuating SCC (rfSCC) pattern, which is described in this study. We aimed to (1) estimate the prevalence of rfSCC in cows milked by AMS, (2) characterize the rfSCC pattern, and (3) identify factors potentially associated with the rfSCC pattern. We analyzed 30-d episodes of composite SCC recordings of 1,000 cows from 55 dairy herds from 6 countries using an AMS with automated SCC measurement, and we identified the rfSCC pattern in 4.7% (95% CI: 3.5-6.2%) of these episodes. The rfSCC episodes had a median SCC of 701 × 1,000 cells/mL (2.5-97.5% quantile: 539-1,162), a median amplitude of 552 × 1,000 cells/mL (2.5-97.5% quantile: 409-886), and a median cycle length of 4.1 d (2.5-97.5% quantile: 3.7-4.9). Bacteriological culture data from quarter-milk samples collected every 2 wk in 1 Dutch AMS herd were analyzed, yielding no clear association between pathogen species and the rfSCC pattern found in that herd. Altogether, we described an intriguing phenomenon, present in almost 5% of the cows during a 1-mo study period. Further work is needed to quantify its importance in terms of udder health, but also to elucidate the mechanism behind this remarkable SCC pattern.
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Affiliation(s)
- Z Deng
- Department Population Health Sciences, Faculty of Veterinary Medicine, Utrecht University, Yalelaan 7, 3584 CL Utrecht, the Netherlands.
| | - T J G M Lam
- Department Population Health Sciences, Faculty of Veterinary Medicine, Utrecht University, Yalelaan 7, 3584 CL Utrecht, the Netherlands; Royal GD, PO Box 9, 7400 AA Deventer, the Netherlands
| | - H Hogeveen
- Department Population Health Sciences, Faculty of Veterinary Medicine, Utrecht University, Yalelaan 7, 3584 CL Utrecht, the Netherlands; Chair Group Business Economics, Wageningen University and Research, PO Box 8130, 6700 EW Wageningen, the Netherlands
| | - G Koop
- Department Population Health Sciences, Faculty of Veterinary Medicine, Utrecht University, Yalelaan 7, 3584 CL Utrecht, the Netherlands
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Deng Z, Chen M, Li J. 226 A positive feedback loop between mTORC1 and cathelicidin promotes skin inflammation in rosacea. J Invest Dermatol 2021. [DOI: 10.1016/j.jid.2021.02.247] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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Jiang J, Wu RH, Zhou HL, Li ZM, Kou D, Deng Z, Dong M, Chen LH. TGIF2 promotes cervical cancer metastasis by negatively regulating FCMR. Eur Rev Med Pharmacol Sci 2021; 24:5953-5962. [PMID: 32572908 DOI: 10.26355/eurrev_202006_21488] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Abstract
OBJECTIVE We aimed at studying the correlation between TGIF2 expression and clinicopathological features of cervical cancer (CCa). The relationship between TGIF2 and FCMR and its influence on the proliferation and metastasis of tumor cells were investigated using molecular biology techniques, so as to reveal the pathogenesis of CCa and provide a new target for clinical treatment. PATIENTS AND METHODS TGIF2 expression in 60 pairs of cervical tumors and paracancerous tissues samples collected from CCa patients of our hospital was studied by quantitative real-time polymerase chain reaction (qPCR) analysis, and the association between TGIF2 expression and the clinical indicators or prognosis of CCa patients were analyzed. CCa cells with TGIF2 knockdown were constructed using transfection technology. Changes in the biological phenotypes (proliferation, migration, invasion) of CCa cells C33-A and HeLa after TGIF2 knockdown were determined by Cell Counting Kit-8 (CCK-8) and transwell assays. In addition, the effects of TGIF2/FCMR axis on CCa metastasis were further explored in nude mice in vivo. RESULTS Our data revealed a significant increase in TGIF2 mRNA expression in CCa tissue specimens compared to adjacent ones, and the increasing degree was positively correlated with the incidence of lymph node or distant metastasis of CCa patients. The results of CCK-8 and transwell suggested that knocking down TGIF2 effectively attenuated the proliferative ability and invasiveness of CCa cells. Luciferase assay confirmed that TGIF2 can directly bind to the DNA promoter of its target gene FCMR. Simultaneous transfection of sh-TGIF2 and sh-FCMR partially reversed the inhibitory effect of single transfection of TGIF2 knockdown on the malignant progression of CCa. Experiments in nude mice also suggested that TGIF2 could promote CCa tumorigenesis through the modulation of FCMR expression. CONCLUSIONS In summary, TGIF2 can promote the migration and proliferation ability of cervical cancer cells via down-regulating FCMR. Our study provides a new therapeutic target for the clinical treatment of cervical cancer.
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Affiliation(s)
- J Jiang
- Department of Gynecology, the First Affiliated Hospital of Zhejiang Chinese Medical University, Hangzhou, China.
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Wang KS, Yu G, Xu C, Meng XH, Zhou J, Zheng C, Deng Z, Shang L, Liu R, Su S, Zhou X, Li Q, Li J, Wang J, Ma K, Qi J, Hu Z, Tang P, Deng J, Qiu X, Li BY, Shen WD, Quan RP, Yang JT, Huang LY, Xiao Y, Yang ZC, Li Z, Wang SC, Ren H, Liang C, Guo W, Li Y, Xiao H, Gu Y, Yun JP, Huang D, Song Z, Fan X, Chen L, Yan X, Li Z, Huang ZC, Huang J, Luttrell J, Zhang CY, Zhou W, Zhang K, Yi C, Wu C, Shen H, Wang YP, Xiao HM, Deng HW. Accurate diagnosis of colorectal cancer based on histopathology images using artificial intelligence. BMC Med 2021; 19:76. [PMID: 33752648 PMCID: PMC7986569 DOI: 10.1186/s12916-021-01942-5] [Citation(s) in RCA: 50] [Impact Index Per Article: 16.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/22/2020] [Accepted: 02/16/2021] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND Accurate and robust pathological image analysis for colorectal cancer (CRC) diagnosis is time-consuming and knowledge-intensive, but is essential for CRC patients' treatment. The current heavy workload of pathologists in clinics/hospitals may easily lead to unconscious misdiagnosis of CRC based on daily image analyses. METHODS Based on a state-of-the-art transfer-learned deep convolutional neural network in artificial intelligence (AI), we proposed a novel patch aggregation strategy for clinic CRC diagnosis using weakly labeled pathological whole-slide image (WSI) patches. This approach was trained and validated using an unprecedented and enormously large number of 170,099 patches, > 14,680 WSIs, from > 9631 subjects that covered diverse and representative clinical cases from multi-independent-sources across China, the USA, and Germany. RESULTS Our innovative AI tool consistently and nearly perfectly agreed with (average Kappa statistic 0.896) and even often better than most of the experienced expert pathologists when tested in diagnosing CRC WSIs from multicenters. The average area under the receiver operating characteristics curve (AUC) of AI was greater than that of the pathologists (0.988 vs 0.970) and achieved the best performance among the application of other AI methods to CRC diagnosis. Our AI-generated heatmap highlights the image regions of cancer tissue/cells. CONCLUSIONS This first-ever generalizable AI system can handle large amounts of WSIs consistently and robustly without potential bias due to fatigue commonly experienced by clinical pathologists. It will drastically alleviate the heavy clinical burden of daily pathology diagnosis and improve the treatment for CRC patients. This tool is generalizable to other cancer diagnosis based on image recognition.
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Affiliation(s)
- K S Wang
- Department of Pathology, Xiangya Hospital, Central South University, Changsha, 410078, Hunan, China
- Department of Pathology, School of Basic Medical Science, Central South University, Changsha, 410013, Hunan, China
| | - G Yu
- Department of Biomedical Engineering, School of Basic Medical Science, Central South University, Changsha, 410013, Hunan, China
| | - C Xu
- Department of Biostatistics and Epidemiology, The University of Oklahoma Health Sciences Center, Oklahoma City, OK, 73104, USA
| | - X H Meng
- Laboratory of Molecular and Statistical Genetics, College of Life Sciences, Hunan Normal University, Changsha, 410081, Hunan, China
| | - J Zhou
- Department of Pathology, Xiangya Hospital, Central South University, Changsha, 410078, Hunan, China
- Department of Pathology, School of Basic Medical Science, Central South University, Changsha, 410013, Hunan, China
| | - C Zheng
- Department of Pathology, Xiangya Hospital, Central South University, Changsha, 410078, Hunan, China
- Department of Pathology, School of Basic Medical Science, Central South University, Changsha, 410013, Hunan, China
| | - Z Deng
- Department of Pathology, Xiangya Hospital, Central South University, Changsha, 410078, Hunan, China
- Department of Pathology, School of Basic Medical Science, Central South University, Changsha, 410013, Hunan, China
| | - L Shang
- Department of Pathology, Xiangya Hospital, Central South University, Changsha, 410078, Hunan, China
| | - R Liu
- Department of Pathology, Xiangya Hospital, Central South University, Changsha, 410078, Hunan, China
| | - S Su
- Department of Pathology, Xiangya Hospital, Central South University, Changsha, 410078, Hunan, China
| | - X Zhou
- Department of Pathology, Xiangya Hospital, Central South University, Changsha, 410078, Hunan, China
| | - Q Li
- Department of Pathology, Xiangya Hospital, Central South University, Changsha, 410078, Hunan, China
| | - J Li
- Department of Pathology, Xiangya Hospital, Central South University, Changsha, 410078, Hunan, China
| | - J Wang
- Department of Pathology, Xiangya Hospital, Central South University, Changsha, 410078, Hunan, China
| | - K Ma
- Department of Pathology, School of Basic Medical Science, Central South University, Changsha, 410013, Hunan, China
| | - J Qi
- Department of Pathology, School of Basic Medical Science, Central South University, Changsha, 410013, Hunan, China
| | - Z Hu
- Department of Pathology, School of Basic Medical Science, Central South University, Changsha, 410013, Hunan, China
| | - P Tang
- Department of Pathology, School of Basic Medical Science, Central South University, Changsha, 410013, Hunan, China
| | - J Deng
- Department of Deming Department of Medicine, Tulane Center of Biomedical Informatics and Genomics, Tulane University School of Medicine, 1440 Canal Street, Suite 1610, New Orleans, LA, 70112, USA
| | - X Qiu
- Centers of System Biology, Data Information and Reproductive Health, School of Basic Medical Science, School of Basic Medical Science, Central South University, Changsha, 410008, Hunan, China
| | - B Y Li
- Centers of System Biology, Data Information and Reproductive Health, School of Basic Medical Science, School of Basic Medical Science, Central South University, Changsha, 410008, Hunan, China
| | - W D Shen
- Centers of System Biology, Data Information and Reproductive Health, School of Basic Medical Science, School of Basic Medical Science, Central South University, Changsha, 410008, Hunan, China
| | - R P Quan
- Centers of System Biology, Data Information and Reproductive Health, School of Basic Medical Science, School of Basic Medical Science, Central South University, Changsha, 410008, Hunan, China
| | - J T Yang
- Centers of System Biology, Data Information and Reproductive Health, School of Basic Medical Science, School of Basic Medical Science, Central South University, Changsha, 410008, Hunan, China
| | - L Y Huang
- Centers of System Biology, Data Information and Reproductive Health, School of Basic Medical Science, School of Basic Medical Science, Central South University, Changsha, 410008, Hunan, China
| | - Y Xiao
- Centers of System Biology, Data Information and Reproductive Health, School of Basic Medical Science, School of Basic Medical Science, Central South University, Changsha, 410008, Hunan, China
| | - Z C Yang
- Department of Pharmacology, Xiangya School of Pharmaceutical Sciences, Central South University, Changsha, 410078, Hunan, China
| | - Z Li
- School of Life Sciences, Central South University, Changsha, 410013, Hunan, China
| | - S C Wang
- College of Information Science and Engineering, Hunan Normal University, Changsha, 410081, Hunan, China
| | - H Ren
- Department of Pathology, Gongli Hospital, Second Military Medical University, Shanghai, 200135, China
- Department of Pathology, the Peace Hospital Affiliated to Changzhi Medical College, Changzhi, 046000, China
| | - C Liang
- Pathological Laboratory of Adicon Medical Laboratory Co., Ltd, Hangzhou, 310023, Zhejiang, China
| | - W Guo
- Department of Pathology, First Affiliated Hospital of Hunan Normal University, The People's Hospital of Hunan Province, Changsha, 410005, Hunan, China
| | - Y Li
- Department of Pathology, First Affiliated Hospital of Hunan Normal University, The People's Hospital of Hunan Province, Changsha, 410005, Hunan, China
| | - H Xiao
- Department of Pathology, the Third Xiangya Hospital, Central South University, Changsha, 410013, Hunan, China
| | - Y Gu
- Department of Pathology, the Third Xiangya Hospital, Central South University, Changsha, 410013, Hunan, China
| | - J P Yun
- Department of Pathology, Sun Yat-Sen University Cancer Center, Guangzhou, 510060, China
| | - D Huang
- Department of Pathology, Fudan University Shanghai Cancer Center, Shanghai, 200032, China
| | - Z Song
- Department of Pathology, Chinese PLA General Hospital, Beijing, 100853, China
| | - X Fan
- Department of Pathology, Nanjing Drum Tower Hospital, the Affiliated Hospital of Nanjing University Medical School, Nanjing, 210008, China
| | - L Chen
- Department of Pathology, The first affiliated hospital, Air Force Medical University, Xi'an, 710032, China
| | - X Yan
- Institute of Pathology and southwest cancer center, Southwest Hospital, Third Military Medical University, Chongqing, 400038, China
| | - Z Li
- Department of Pathology, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080, China
| | - Z C Huang
- Department of Biomedical Engineering, School of Basic Medical Science, Central South University, Changsha, 410013, Hunan, China
| | - J Huang
- Department of Anatomy and Neurobiology, School of Basic Medical Science, Central South University, Changsha, 410013, Hunan, China
| | - J Luttrell
- School of Computing Sciences and Computer Engineering, University of Southern Mississippi, Hattiesburg, MS, 39406, USA
| | - C Y Zhang
- School of Computing Sciences and Computer Engineering, University of Southern Mississippi, Hattiesburg, MS, 39406, USA
| | - W Zhou
- College of Computing, Michigan Technological University, Houghton, MI, 49931, USA
| | - K Zhang
- Department of Computer Science, Bioinformatics Facility of Xavier NIH RCMI Cancer Research Center, Xavier University of Louisiana, New Orleans, LA, 70125, USA
| | - C Yi
- Department of Pathology, Ochsner Medical Center, New Orleans, LA, 70121, USA
| | - C Wu
- Department of Statistics, Florida State University, Tallahassee, FL, 32306, USA
| | - H Shen
- Department of Deming Department of Medicine, Tulane Center of Biomedical Informatics and Genomics, Tulane University School of Medicine, 1440 Canal Street, Suite 1610, New Orleans, LA, 70112, USA
- Division of Biomedical Informatics and Genomics, Deming Department of Medicine, Tulane University School of Medicine, New Orleans, LA, 70112, USA
| | - Y P Wang
- Department of Deming Department of Medicine, Tulane Center of Biomedical Informatics and Genomics, Tulane University School of Medicine, 1440 Canal Street, Suite 1610, New Orleans, LA, 70112, USA
- Department of Biomedical Engineering, Tulane University, New Orleans, LA, 70118, USA
| | - H M Xiao
- Centers of System Biology, Data Information and Reproductive Health, School of Basic Medical Science, School of Basic Medical Science, Central South University, Changsha, 410008, Hunan, China.
| | - H W Deng
- Department of Deming Department of Medicine, Tulane Center of Biomedical Informatics and Genomics, Tulane University School of Medicine, 1440 Canal Street, Suite 1610, New Orleans, LA, 70112, USA.
- Centers of System Biology, Data Information and Reproductive Health, School of Basic Medical Science, School of Basic Medical Science, Central South University, Changsha, 410008, Hunan, China.
- Division of Biomedical Informatics and Genomics, Deming Department of Medicine, Tulane University School of Medicine, New Orleans, LA, 70112, USA.
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Yin Y, Li J, Li J, Lee M, Zhao S, Guo L, Li J, Zhang M, Huang Y, Li XN, Deng Z, Sun D. LiBis: an ultrasensitive alignment augmentation for low-input bisulfite sequencing. Brief Bioinform 2020; 22:6034045. [PMID: 33316060 DOI: 10.1093/bib/bbaa332] [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] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2020] [Revised: 10/18/2020] [Accepted: 10/25/2020] [Indexed: 11/14/2022] Open
Abstract
The cell-free DNA (cfDNA) methylation profile in liquid biopsy has been utilized to diagnose early-stage disease and estimate therapy response. However, typical clinical procedures are capable of purifying only very small amounts of cfDNA. Whole-genome bisulfite sequencing (WGBS) is the gold standard for measuring DNA methylation; however, WGBS using small amounts of fragmented DNA introduces a critical challenge for data analysis, namely a low-mapping ratio. The resulting low sequencing depth and low coverage of CpG sites genome-wide is a bottleneck for the clinical application of cfDNA-based WGBS assays. We developed LiBis (Low-input Bisulfite Sequencing), a novel method for low-input WGBS data alignment. By dynamically clipping initially unmapped reads and remapping clipped fragments, we judiciously rescued those reads and uniquely aligned them to the genome. By substantially increasing the mapping ratio by up to 88%, LiBis dramatically improved the number of informative CpGs and the precision in quantifying the methylation status of individual CpG sites. LiBis significantly improved the cost efficiency of low-input WGBS experiments by dynamically removing contamination introduced by random priming. The high sensitivity and cost effectiveness afforded by LiBis for low-input samples will allow the discovery of genetic and epigenetic features suitable for downstream analysis and biomarker identification using liquid biopsy.
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Affiliation(s)
- Yue Yin
- Texas A&M University College of Medicine
| | - Jia Li
- Texas A&M University College of Medicine
| | - Jin Li
- Texas A&M University College of Medicine
| | | | | | | | | | | | - Yun Huang
- Texas A&M University College of Medicine
| | - Xiao-Nan Li
- Northwestern University Feinberg School of Medicine
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Deng Z, Tutunnikov I, Averbukh IS, Thachuk M, Krems RV. Bayesian optimization for inverse problems in time-dependent quantum dynamics. J Chem Phys 2020; 153:164111. [DOI: 10.1063/5.0015896] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022] Open
Affiliation(s)
- Z. Deng
- Department of Chemistry, University of British Columbia, Vancouver, British Columbia V6T 1Z1, Canada
| | - I. Tutunnikov
- AMOS and Department of Chemical and Biological Physics, The Weizmann Institute of Science, Rehovot 7610001, Israel
| | - I. Sh. Averbukh
- AMOS and Department of Chemical and Biological Physics, The Weizmann Institute of Science, Rehovot 7610001, Israel
| | - M. Thachuk
- Department of Chemistry, University of British Columbia, Vancouver, British Columbia V6T 1Z1, Canada
| | - R. V. Krems
- Department of Chemistry, University of British Columbia, Vancouver, British Columbia V6T 1Z1, Canada
- Quantum Matter Institute, University of British Columbia, Vancouver, British Columbia V6T 1Z4, Canada
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Wei D, Zeng S, Hou D, Zhou R, Xing C, Deng X, Yu L, Wang H, Deng Z, Weng S, Huang Z, He J. Community diversity and abundance of ammonia-oxidizing archaea and bacteria in shrimp pond sediment at different culture stages. J Appl Microbiol 2020; 130:1442-1455. [PMID: 33021028 DOI: 10.1111/jam.14846] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [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: 05/17/2020] [Revised: 08/25/2020] [Accepted: 09/02/2020] [Indexed: 02/06/2023]
Abstract
AIMS Ammonia oxidation is a significant process of nitrogen cycles in a lot of ecosystems sediments while there are few studies in shrimp culture pond (SCP) sediments. This paper attempted to explore the community diversity and abundance of ammonia-oxidizing archaea (AOA) and ammonia-oxidizing bacteria (AOB) in SCP sediments at different culture stages. METHODS AND RESULTS We collected SCP sediments and analysed the community diversity and abundance of AOA and bacteria in shrimp pond sediment at different culture stages using the ammonia monooxygenase (amoA) gene with quantitative PCR (qPCR) and 16S rRNA gene sequencing. The AOB-amoA gene abundance was showed higher than AOA-amoA gene abundance in SCP sediments on Day 50 and Day 60 after shrimp larvae introducing into the pond, and the diversity of AOA in SCP sediments was higher than that of AOB. The phylogenetic tree revealed that the most of AOA were the member of Nitrosopumilus and Nitrososphaera, and the majority of AOB sequences were clustered into Nitrosospira, Nitrosomonas clusters 6a and 7. The AOA community has close relationship with total organic carbon (TOC), pH, total phosphorus (TP), nitrate reductase, urease, acid phosphatase and β-glucosidase. The AOB community was related to TOC, C/N and nitrate reductase. CONCLUSIONS AOA and AOB play the different ecological roles in SCP sediments at different culture stages. SIGNIFICANCE AND IMPACT OF THE STUDY Our results suggested that the different community diversity and abundance of AOA and AOB in SCP sediments, which may improve our ecological cognition of shrimp culture stages in SCP ecosystems.
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Affiliation(s)
- D Wei
- State Key Laboratory of Biocontrol/Southern Marine Sciences and Engineering Guangdong Laboratory (Zhuhai), School of Marine Sciences/School of Life Sciences, Sun Yat-sen University, Guangzhou, PR China.,Institute of Aquatic Economic Animals and Guangdong Province Key Laboratory for Aquatic Economic Animals, School of Life Sciences, Sun Yat-sen University, Guangzhou, PR China
| | - S Zeng
- State Key Laboratory of Biocontrol/Southern Marine Sciences and Engineering Guangdong Laboratory (Zhuhai), School of Marine Sciences/School of Life Sciences, Sun Yat-sen University, Guangzhou, PR China.,Institute of Aquatic Economic Animals and Guangdong Province Key Laboratory for Aquatic Economic Animals, School of Life Sciences, Sun Yat-sen University, Guangzhou, PR China
| | - D Hou
- State Key Laboratory of Biocontrol/Southern Marine Sciences and Engineering Guangdong Laboratory (Zhuhai), School of Marine Sciences/School of Life Sciences, Sun Yat-sen University, Guangzhou, PR China.,Institute of Aquatic Economic Animals and Guangdong Province Key Laboratory for Aquatic Economic Animals, School of Life Sciences, Sun Yat-sen University, Guangzhou, PR China
| | - R Zhou
- State Key Laboratory of Biocontrol/Southern Marine Sciences and Engineering Guangdong Laboratory (Zhuhai), School of Marine Sciences/School of Life Sciences, Sun Yat-sen University, Guangzhou, PR China.,Institute of Aquatic Economic Animals and Guangdong Province Key Laboratory for Aquatic Economic Animals, School of Life Sciences, Sun Yat-sen University, Guangzhou, PR China
| | - C Xing
- State Key Laboratory of Biocontrol/Southern Marine Sciences and Engineering Guangdong Laboratory (Zhuhai), School of Marine Sciences/School of Life Sciences, Sun Yat-sen University, Guangzhou, PR China
| | - X Deng
- Institute of Aquatic Economic Animals and Guangdong Province Key Laboratory for Aquatic Economic Animals, School of Life Sciences, Sun Yat-sen University, Guangzhou, PR China
| | - L Yu
- State Key Laboratory of Biocontrol/Southern Marine Sciences and Engineering Guangdong Laboratory (Zhuhai), School of Marine Sciences/School of Life Sciences, Sun Yat-sen University, Guangzhou, PR China.,Institute of Aquatic Economic Animals and Guangdong Province Key Laboratory for Aquatic Economic Animals, School of Life Sciences, Sun Yat-sen University, Guangzhou, PR China
| | - H Wang
- State Key Laboratory of Biocontrol/Southern Marine Sciences and Engineering Guangdong Laboratory (Zhuhai), School of Marine Sciences/School of Life Sciences, Sun Yat-sen University, Guangzhou, PR China
| | - Z Deng
- State Key Laboratory of Biocontrol/Southern Marine Sciences and Engineering Guangdong Laboratory (Zhuhai), School of Marine Sciences/School of Life Sciences, Sun Yat-sen University, Guangzhou, PR China.,Institute of Aquatic Economic Animals and Guangdong Province Key Laboratory for Aquatic Economic Animals, School of Life Sciences, Sun Yat-sen University, Guangzhou, PR China
| | - S Weng
- State Key Laboratory of Biocontrol/Southern Marine Sciences and Engineering Guangdong Laboratory (Zhuhai), School of Marine Sciences/School of Life Sciences, Sun Yat-sen University, Guangzhou, PR China.,Institute of Aquatic Economic Animals and Guangdong Province Key Laboratory for Aquatic Economic Animals, School of Life Sciences, Sun Yat-sen University, Guangzhou, PR China
| | - Z Huang
- State Key Laboratory of Biocontrol/Southern Marine Sciences and Engineering Guangdong Laboratory (Zhuhai), School of Marine Sciences/School of Life Sciences, Sun Yat-sen University, Guangzhou, PR China.,Institute of Aquatic Economic Animals and Guangdong Province Key Laboratory for Aquatic Economic Animals, School of Life Sciences, Sun Yat-sen University, Guangzhou, PR China
| | - J He
- State Key Laboratory of Biocontrol/Southern Marine Sciences and Engineering Guangdong Laboratory (Zhuhai), School of Marine Sciences/School of Life Sciences, Sun Yat-sen University, Guangzhou, PR China.,Institute of Aquatic Economic Animals and Guangdong Province Key Laboratory for Aquatic Economic Animals, School of Life Sciences, Sun Yat-sen University, Guangzhou, PR China
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Sun G, Zheng C, Deng Z, Huang C, Huang J. TRAF5 promotes the occurrence and development of colon cancer via the activation of PI3K/AKT/NF-κB signaling pathways. J BIOL REG HOMEOS AG 2020; 34:1257-1268. [PMID: 32911926 DOI: 10.23812/19-520-a] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
This study aimed to investigate the expression and biological functions of TRAF5 in colon cancer at tissue and cellular levels. Forty-two patients with colon cancer were included in the present study. Tumor tissues and tumor-adjacent tissues were collected from all patients. Bioinformatics was used to analyze how TRAF5 was related to metastasis and prognosis of colon cancer. Quantitative real-time polymerase chain reaction was carried out to determine the expression of mRNA. SW620 and SW480 cells were used to study the inhibition and overexpression of TRAF5, respectively. CCK-8 assay was used to examine cell proliferation. Flow cytometry was employed to investigate cell phase and apoptosis. Transwell assay was used to study migration and invasion of cells. Western blotting was utilized to test how TRAF5 expression affected the activities of PI3K/AKT/NF-κB signaling pathways. Bioinformatics showed that the expression of TRAF5 in colon cancer tissues was correlated with metastasis and prognosis of the tumor. TRAF5 mRNA expression was up-regulated in colon cancer tissues, and related to recurrence and metastasis of the cancer. In vitro experiments showed that TRAF5 expression promoted proliferation, migration, and invasion of colon cancer cells, but reduced apoptosis of the cells. Moreover, TRAF5 might exert its biological functions by activating PI3K/AKT/NF-κB signaling pathways in colon cancer cells. In conclusion, TRAF5 expression in colon cancer tissues is up-regulated and correlated with prognosis, lymphatic metastasis and clinical staging. TRAF5 promotes the occurrence and development of colon cancer by activating PI3K/ AKT/NF-κB signaling pathways, and acts as an oncogene.
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Affiliation(s)
- G Sun
- Department of Gastroenterology, The Second Affiliated Hospital of Guangxi Medical University, Nanning, P.R. China.,Department of Clinical Nutrition, The Third Affiliated Hospital of Guangxi Medical University, Nanning, P.R. China
| | - C Zheng
- Department of Anatomy, Guangxi University of Chinese Medicine, Nanning, P.R. China
| | - Z Deng
- Department of Clinical Nutrition, The Third Affiliated Hospital of Guangxi Medical University, Nanning, P.R. China
| | - C Huang
- Department of Oncology, The Third Affiliated Hospital of Guangxi Medical University, Nanning, P.R. China
| | - J Huang
- Department of Gastroenterology, The Second Affiliated Hospital of Guangxi Medical University, Nanning, P.R. China
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35
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Deng Z, Lam T, Hogeveen H, Spaninks M, Heij N, Postema M, van Werven T, Koop G. Antimicrobial use and farmers' attitude toward mastitis treatment on dairy farms with automatic or conventional milking systems. J Dairy Sci 2020; 103:7302-7314. [DOI: 10.3168/jds.2019-17960] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2019] [Accepted: 03/18/2020] [Indexed: 11/19/2022]
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36
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Li W, Dong Y, Wang KJ, Deng Z, Zhang W, Shen HF. Plasma exosomal miR-125a-5p and miR-141-5p as non-invasive biomarkers for prostate cancer. Neoplasma 2020; 67:1314-1318. [PMID: 32614237 DOI: 10.4149/neo_2020_191130n1234] [Citation(s) in RCA: 23] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2019] [Accepted: 01/31/2020] [Indexed: 11/08/2022]
Abstract
Predictive biomarkers for early diagnosis of prostate cancer are important for its treatment. The functional microRNAs in the exosomes of plasma and serum samples are of interest as stable and non-invasive biomarkers for recurrence in cancer patients. The present study aimed to clarify the value of plasma exosomal miRNA-125a-5p and miR-141-5p as biomarkers for the diagnosis of prostate cancer. The study included 19 healthy individuals and 31 prostate cancer patients. In comparison to the levels in healthy controls, exosomal miR-141-5p levels showed a slight increase in prostate cancer patients (p=0.085), and miR-125a-5p levels that showed a significant decrease in patients with prostate cancer than in healthy controls (p=0.032). As a derived parameter, the miR-125a-5p/miR-141-5p ratio was significantly higher in patients with prostate cancer than in healthy controls (p<0.001). We found that exosomal miR-141-5p in plasma showed a promise in distinguishing prostate cancer patients with the AUC of 0.652, and for miR-125a-5p, the AUC was 0.691. For the miR-125a-5p/miR-141-5p ratio, the AUC value was 0.793. We found that miR-125a-5p has a weak positive correlation with PSA (correlation coefficient = 0.3413). Moreover, miR-141-5p has been found to hold a negatively no-significant correlation with PSA, with the correlation coefficient is -0.1102. We speculate that, as diagnostic markers for prostate cancer, miR-125-5p and miR-141-5p might be independent of the PSA. In summary, the results of this study suggest that high plasma exosomal expression of miR-141-3p and low expression of miR-125a-5p in plasma exosomes from prostate cancer patients might be useful markers of specific tumor traits associated with prostate cancer. Moreover, the miR-125a-5p/miR-141-5p ratio seems to perform better than either of the single values alone.
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Affiliation(s)
- W Li
- Department of Urology, 928th Hospital of PLA Joint Logistic Support Force, Haikou, China
| | - Y Dong
- Department of Urology, 928th Hospital of PLA Joint Logistic Support Force, Haikou, China.,Department of Urology, Hainan Hospital of PLA General Hospital, Sanya, China
| | - K J Wang
- Department of Urology, 928th Hospital of PLA Joint Logistic Support Force, Haikou, China
| | - Z Deng
- Department of Urology, 900th Hospital of PLA Joint Logistic Support Force, Fuzhou, China
| | - W Zhang
- Department of Urology, 81th Hospital affiliated to Nanjing University of Chinese Medicine, Nanjing, China
| | - H F Shen
- Department of Urology, 928th Hospital of PLA Joint Logistic Support Force, Haikou, China
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37
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Yuan WH, Liu HL, Wei WZ, Ma ZY, Hao P, Deng Z, Deng K, Zhang J, Lu ZH. In Situ Measurement of Vacuum Window Birefringence using 25Mg+ Fluorescence. J Vis Exp 2020. [PMID: 32597872 DOI: 10.3791/61175] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/31/2022] Open
Abstract
Accurate control of the polarization states of laser light is important in precision measurement experiments. In experiments involving the use of a vacuum environment, the stress-induced birefringence effect of the vacuum windows will affect the polarization states of laser light inside the vacuum system, and it is very difficult to measure and optimize the polarization states of the laser light in situ. The purpose of this protocol is to demonstrate how to optimize the polarization states of the laser light based on the fluorescence of ions in the vacuum system, and how to calculate the birefringence of vacuum windows based on azimuthal angles of external wave plates with Mueller matrix. The fluorescence of 25Mg+ ions induced by laser light that is resonant with the transition of |32P3/2,F = 4, mF = 4 → |32S1/2,F = 3, mF = 3 is sensitive to the polarization state of the laser light, and maximum fluorescence will be observed with pure circularly polarized light. A combination of half-wave plate (HWP) and quarter-wave plate (QWP) can achieve arbitrary phase retardation and is used for compensating the birefringence of the vacuum window. In this experiment, the polarization state of the laser light is optimized based on the fluorescence of 25Mg+ ion with a pair of HWP and QWP outside the vacuum chamber. By adjusting the azimuthal angles of the HWP and QWP to obtain maximum ion fluorescence, one can obtain a pure circularly polarized light inside the vacuum chamber. With the information on the azimuthal angles of the external HWP and QWP, the birefringence of the vacuum window can be determined.
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Affiliation(s)
- W H Yuan
- MOE Key Laboratory of Fundamental Physical Quantities Measurement, Hubei Key Laboratory of Gravitation and Quantum Physics, PGMF and School of Physics, Huazhong University of Science and Technology
| | - H L Liu
- MOE Key Laboratory of Fundamental Physical Quantities Measurement, Hubei Key Laboratory of Gravitation and Quantum Physics, PGMF and School of Physics, Huazhong University of Science and Technology;
| | - W Z Wei
- MOE Key Laboratory of Fundamental Physical Quantities Measurement, Hubei Key Laboratory of Gravitation and Quantum Physics, PGMF and School of Physics, Huazhong University of Science and Technology
| | - Z Y Ma
- MOE Key Laboratory of Fundamental Physical Quantities Measurement, Hubei Key Laboratory of Gravitation and Quantum Physics, PGMF and School of Physics, Huazhong University of Science and Technology
| | - P Hao
- MOE Key Laboratory of Fundamental Physical Quantities Measurement, Hubei Key Laboratory of Gravitation and Quantum Physics, PGMF and School of Physics, Huazhong University of Science and Technology
| | - Z Deng
- MOE Key Laboratory of Fundamental Physical Quantities Measurement, Hubei Key Laboratory of Gravitation and Quantum Physics, PGMF and School of Physics, Huazhong University of Science and Technology
| | - K Deng
- MOE Key Laboratory of Fundamental Physical Quantities Measurement, Hubei Key Laboratory of Gravitation and Quantum Physics, PGMF and School of Physics, Huazhong University of Science and Technology
| | - J Zhang
- MOE Key Laboratory of Fundamental Physical Quantities Measurement, Hubei Key Laboratory of Gravitation and Quantum Physics, PGMF and School of Physics, Huazhong University of Science and Technology
| | - Z H Lu
- MOE Key Laboratory of Fundamental Physical Quantities Measurement, Hubei Key Laboratory of Gravitation and Quantum Physics, PGMF and School of Physics, Huazhong University of Science and Technology;
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38
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Dai X, Deng Z, Liang Y, Chen L, Jiang W, Zhao W. Enterococcus faecalis
induces necroptosis in human osteoblastic MG63 cells through the RIPK3 / MLKL signalling pathway. Int Endod J 2020; 53:1204-1215. [PMID: 32379949 DOI: 10.1111/iej.13323] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2020] [Accepted: 05/01/2020] [Indexed: 12/12/2022]
Affiliation(s)
- X. Dai
- Department of Stomatology Nanfang Hospital Southern Medical University Guangzhou China
| | - Z. Deng
- Department of Stomatology Nanfang Hospital Southern Medical University Guangzhou China
| | - Y. Liang
- Department of Stomatology Nanfang Hospital Southern Medical University Guangzhou China
| | - L. Chen
- Department of Stomatology Nanfang Hospital Southern Medical University Guangzhou China
| | - W Jiang
- Department of Stomatology Nanfang Hospital Southern Medical University Guangzhou China
| | - W. Zhao
- Department of Stomatology Nanfang Hospital Southern Medical University Guangzhou China
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39
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Wang Y, Chen B, Sun Y, Zhang J, Zhu Q, Yang Y, Niu X, Li Q, Deng Z. Human embryonic stem cell-derived exosomes promote pressure ulcer healing in aged mice by rejuvenating senescent endothelial cells. Cytotherapy 2020. [DOI: 10.1016/j.jcyt.2020.04.047] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/24/2022]
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40
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Deng Z, Oraby E, Eksteen J. Cu adsorption behaviours onto chelating resins from glycine-cyanide solutions: Isotherms, kinetics and regeneration studies. Sep Purif Technol 2020. [DOI: 10.1016/j.seppur.2019.116280] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
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41
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She Z, Jia LP, Yue Q, Ma H, Kang KJ, Li YJ, Agartioglu M, An HP, Chang JP, Chen JH, Chen YH, Cheng JP, Dai WH, Deng Z, Geng XP, Gong H, Gu P, Guo QJ, Guo XY, He L, He SM, He HT, Hu JW, Huang TC, Huang HX, Li HB, Li H, Li JM, Li J, Li MX, Li X, Li XQ, Li YL, Liao B, Lin FK, Lin ST, Liu SK, Liu YD, Liu YY, Liu ZZ, Mao YC, Nie QY, Ning JH, Pan H, Qi NC, Qiao CK, Ren J, Ruan XC, Sevda B, Shang CS, Sharma V, Singh L, Singh MK, Sun TX, Tang CJ, Tang WY, Tian Y, Wang GF, Wang L, Wang Q, Wang Y, Wang YX, Wang Z, Wong HT, Wu SY, Xing HY, Xu Y, Xue T, Yan YL, Yang LT, Yi N, Yu CX, Yu HJ, Yue JF, Zeng M, Zeng Z, Zhang BT, Zhang L, Zhang FS, Zhang ZY, Zhao MG, Zhou JF, Zhou ZY, Zhu JJ. Direct Detection Constraints on Dark Photons with the CDEX-10 Experiment at the China Jinping Underground Laboratory. Phys Rev Lett 2020; 124:111301. [PMID: 32242731 DOI: 10.1103/physrevlett.124.111301] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/30/2019] [Accepted: 02/26/2020] [Indexed: 06/11/2023]
Abstract
We report constraints on the dark photon effective kinetic mixing parameter (κ) with data taken from two p-type point-contact germanium detectors of the CDEX-10 experiment at the China Jinping Underground Laboratory. The 90% confidence level upper limits on κ of solar dark photon from 205.4 kg-day exposure are derived, probing new parameter space with masses (m_{V}) from 10 to 300 eV/c^{2} in direct detection experiments. Considering dark photon as the cosmological dark matter, limits at 90% confidence level with m_{V} from 0.1 to 4.0 keV/c^{2} are set from 449.6 kg-day data, with a minimum of κ=1.3×10^{-15} at m_{V}=200 eV/c^{2}.
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Affiliation(s)
- Z She
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - L P Jia
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - Q Yue
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - H Ma
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - K J Kang
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - Y J Li
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - M Agartioglu
- Institute of Physics, Academia Sinica, Taipei 11529
- Department of Physics, Dokuz Eylül University, İzmir 35160
| | - H P An
- Department of Physics, Tsinghua University, Beijing 100084
| | | | - J H Chen
- Institute of Physics, Academia Sinica, Taipei 11529
| | - Y H Chen
- YaLong River Hydropower Development Company, Chengdu 610051
| | - J P Cheng
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
- College of Nuclear Science and Technology, Beijing Normal University, Beijing 100875
| | - W H Dai
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - Z Deng
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - X P Geng
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - H Gong
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - P Gu
- College of Physics, Sichuan University, Chengdu 610064
| | - Q J Guo
- School of Physics, Peking University, Beijing 100871
| | - X Y Guo
- YaLong River Hydropower Development Company, Chengdu 610051
| | - L He
- NUCTECH Company, Beijing 100084
| | - S M He
- YaLong River Hydropower Development Company, Chengdu 610051
| | - H T He
- College of Physics, Sichuan University, Chengdu 610064
| | - J W Hu
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - T C Huang
- Sino-French Institute of Nuclear and Technology, Sun Yat-sen University, Zhuhai, 519082
| | - H X Huang
- Department of Nuclear Physics, China Institute of Atomic Energy, Beijing 102413
| | - H B Li
- Institute of Physics, Academia Sinica, Taipei 11529
| | - H Li
- NUCTECH Company, Beijing 100084
| | - J M Li
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - J Li
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - M X Li
- College of Physics, Sichuan University, Chengdu 610064
| | - X Li
- Department of Nuclear Physics, China Institute of Atomic Energy, Beijing 102413
| | - X Q Li
- School of Physics, Nankai University, Tianjin 300071
| | - Y L Li
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - B Liao
- College of Nuclear Science and Technology, Beijing Normal University, Beijing 100875
| | - F K Lin
- Institute of Physics, Academia Sinica, Taipei 11529
| | - S T Lin
- College of Physics, Sichuan University, Chengdu 610064
| | - S K Liu
- College of Physics, Sichuan University, Chengdu 610064
| | - Y D Liu
- College of Nuclear Science and Technology, Beijing Normal University, Beijing 100875
| | - Y Y Liu
- College of Nuclear Science and Technology, Beijing Normal University, Beijing 100875
| | - Z Z Liu
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - Y C Mao
- School of Physics, Peking University, Beijing 100871
| | - Q Y Nie
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - J H Ning
- YaLong River Hydropower Development Company, Chengdu 610051
| | - H Pan
- NUCTECH Company, Beijing 100084
| | - N C Qi
- YaLong River Hydropower Development Company, Chengdu 610051
| | - C K Qiao
- College of Physics, Sichuan University, Chengdu 610064
| | - J Ren
- Department of Nuclear Physics, China Institute of Atomic Energy, Beijing 102413
| | - X C Ruan
- Department of Nuclear Physics, China Institute of Atomic Energy, Beijing 102413
| | - B Sevda
- Institute of Physics, Academia Sinica, Taipei 11529
- Department of Physics, Dokuz Eylül University, İzmir 35160
| | - C S Shang
- YaLong River Hydropower Development Company, Chengdu 610051
| | - V Sharma
- Institute of Physics, Academia Sinica, Taipei 11529
- Department of Physics, Banaras Hindu University, Varanasi 221005
| | - L Singh
- Institute of Physics, Academia Sinica, Taipei 11529
- Department of Physics, Banaras Hindu University, Varanasi 221005
| | - M K Singh
- Institute of Physics, Academia Sinica, Taipei 11529
- Department of Physics, Banaras Hindu University, Varanasi 221005
| | - T X Sun
- College of Nuclear Science and Technology, Beijing Normal University, Beijing 100875
| | - C J Tang
- College of Physics, Sichuan University, Chengdu 610064
| | - W Y Tang
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - Y Tian
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - G F Wang
- College of Nuclear Science and Technology, Beijing Normal University, Beijing 100875
| | - L Wang
- Department of Physics, Beijing Normal University, Beijing 100875
| | - Q Wang
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
- Department of Physics, Tsinghua University, Beijing 100084
| | - Y Wang
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
- Department of Physics, Tsinghua University, Beijing 100084
| | - Y X Wang
- School of Physics, Peking University, Beijing 100871
| | - Z Wang
- College of Physics, Sichuan University, Chengdu 610064
| | - H T Wong
- Institute of Physics, Academia Sinica, Taipei 11529
| | - S Y Wu
- YaLong River Hydropower Development Company, Chengdu 610051
| | - H Y Xing
- College of Physics, Sichuan University, Chengdu 610064
| | - Y Xu
- School of Physics, Nankai University, Tianjin 300071
| | - T Xue
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - Y L Yan
- College of Physics, Sichuan University, Chengdu 610064
| | - L T Yang
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - N Yi
- NUCTECH Company, Beijing 100084
| | - C X Yu
- School of Physics, Nankai University, Tianjin 300071
| | - H J Yu
- NUCTECH Company, Beijing 100084
| | - J F Yue
- YaLong River Hydropower Development Company, Chengdu 610051
| | - M Zeng
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - Z Zeng
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - B T Zhang
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - L Zhang
- College of Physics, Sichuan University, Chengdu 610064
| | - F S Zhang
- College of Nuclear Science and Technology, Beijing Normal University, Beijing 100875
| | - Z Y Zhang
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - M G Zhao
- School of Physics, Nankai University, Tianjin 300071
| | - J F Zhou
- YaLong River Hydropower Development Company, Chengdu 610051
| | - Z Y Zhou
- Department of Nuclear Physics, China Institute of Atomic Energy, Beijing 102413
| | - J J Zhu
- College of Physics, Sichuan University, Chengdu 610064
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42
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Xu X, Zhou W, Chen Y, Wu K, Wang H, Zhang J, Zhou Y, Zeng J, Yang J, Deng Z, Zhang Y, Shen W. Immediate early response protein 2 promotes the migration and invasion of hepatocellular carcinoma cells via regulating the activity of Rho GTPases. Neoplasma 2020; 67:614-622. [PMID: 32009420 DOI: 10.4149/neo_2020_190818n781] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2019] [Accepted: 10/08/2019] [Indexed: 11/08/2022]
Abstract
Human immediate early response 2 (IER2) has been implicated in tumor cell motility and metastasis; however, the underlying mechanisms in hepatocellular carcinoma (HCC) metastasis remain to be clarified. In this study, we demonstrate that dysregulation of IER2 was shown in HCC clinical samples, and IER2 expression resulted in the promotion of cell migration and invasion in vitro, and HCC tumor growth and pulmonary metastasis in vivo. Moreover, we showed that IER2 expression altered assembly of the actin cytoskeleton rearrangement. Furthermore, MAPK and PI3K/Akt signaling pathways induced by IER2 were confirmed to be probably involved in regulating the activity of Rho GTPases, such as RhoA, Rac1 and Cdc42. Collectively, our results indicated a significant role of IER2 in the HCC cell motility and metastasis through MAPK and PI3K/Akt signaling pathways to regulate the activity of Rho GTPases, thereby modulating actin cytoskeleton rearrangement, unveiling a novel mechanism of cell motility regulation induced by IER2.
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Affiliation(s)
- X Xu
- Department of Cell Biology, School of Medicine, Yangzhou University, Yangzhou, China
| | - W Zhou
- Department of Internal Medicine, Affiliated Hospital of Yangzhou University, Yangzhou, China
| | - Y Chen
- Department of Internal Medicine, Affiliated Hospital of Yangzhou University, Yangzhou, China
| | - K Wu
- Department of Internal Medicine, Affiliated Hospital of Yangzhou University, Yangzhou, China
| | - H Wang
- Department of Cell Biology, School of Medicine, Yangzhou University, Yangzhou, China
| | - J Zhang
- Department of Internal Medicine, Northern Jiangsu People's Hospital Affiliated to Yangzhou University, Yangzhou, China
| | - Y Zhou
- Department of Cell Biology, School of Medicine, Yangzhou University, Yangzhou, China
| | - J Zeng
- Department of Cell Biology, School of Medicine, Yangzhou University, Yangzhou, China
| | - J Yang
- Department of Cell Biology, School of Medicine, Yangzhou University, Yangzhou, China
| | - Z Deng
- Department of Cell Biology, School of Medicine, Yangzhou University, Yangzhou, China
| | - Y Zhang
- Department of Cell Biology, School of Medicine, Yangzhou University, Yangzhou, China.,Jiangsu Co-Innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonosis, Yangzhou University, Yangzhou, China
| | - W Shen
- Department of Cell Biology, School of Medicine, Yangzhou University, Yangzhou, China.,Jiangsu Co-Innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonosis, Yangzhou University, Yangzhou, China.,Jiangsu Key Laboratory of Integrated Traditional Chinese and Western Medicine for Prevention and Treatment of Senile Diseases, Yangzhou University, Yangzhou, China
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43
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Yang LT, Li HB, Yue Q, Ma H, Kang KJ, Li YJ, Wong HT, Agartioglu M, An HP, Chang JP, Chen JH, Chen YH, Cheng JP, Deng Z, Du Q, Gong H, Guo QJ, He L, Hu JW, Hu QD, Huang HX, Jia LP, Jiang H, Li H, Li JM, Li J, Li X, Li XQ, Li YL, Liao B, Lin FK, Lin ST, Liu SK, Liu YD, Liu YY, Liu ZZ, Ma JL, Mao YC, Pan H, Ren J, Ruan XC, Sharma V, She Z, Shen MB, Singh L, Singh MK, Sun TX, Tang CJ, Tang WY, Tian Y, Wang GF, Wang JM, Wang L, Wang Q, Wang Y, Wang YX, Wu SY, Wu YC, Xing HY, Xu Y, Xue T, Yi N, Yu CX, Yu HJ, Yue JF, Zeng XH, Zeng M, Zeng Z, Zhang FS, Zhang YH, Zhao MG, Zhou JF, Zhou ZY, Zhu JJ, Zhu ZH. Search for Light Weakly-Interacting-Massive-Particle Dark Matter by Annual Modulation Analysis with a Point-Contact Germanium Detector at the China Jinping Underground Laboratory. Phys Rev Lett 2019; 123:221301. [PMID: 31868422 DOI: 10.1103/physrevlett.123.221301] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/11/2019] [Indexed: 06/10/2023]
Abstract
We present results on light weakly interacting massive particle (WIMP) searches with annual modulation (AM) analysis on data from a 1-kg mass p-type point-contact germanium detector of the CDEX-1B experiment at the China Jinping Underground Laboratory. Datasets with a total live time of 3.2 yr within a 4.2-yr span are analyzed with analysis threshold of 250 eVee. Limits on WIMP-nucleus (χ-N) spin-independent cross sections as function of WIMP mass (m_{χ}) at 90% confidence level (C.L.) are derived using the dark matter halo model. Within the context of the standard halo model, the 90% C.L. allowed regions implied by the DAMA/LIBRA and CoGeNT AM-based analysis are excluded at >99.99% and 98% C.L., respectively. These results correspond to the best sensitivity at m_{χ}<6 GeV/c^{2} among WIMP AM measurements to date.
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Affiliation(s)
- L T Yang
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - H B Li
- Institute of Physics, Academia Sinica, Taipei 11529
| | - Q Yue
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - H Ma
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - K J Kang
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - Y J Li
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - H T Wong
- Institute of Physics, Academia Sinica, Taipei 11529
| | - M Agartioglu
- Institute of Physics, Academia Sinica, Taipei 11529
- Department of Physics, Dokuz Eylül University, İzmir 35160
| | - H P An
- Department of Physics, Tsinghua University, Beijing 100084
| | | | - J H Chen
- Institute of Physics, Academia Sinica, Taipei 11529
| | - Y H Chen
- YaLong River Hydropower Development Company, Chengdu 610051
| | - J P Cheng
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
- College of Nuclear Science and Technology, Beijing Normal University, Beijing 100875
| | - Z Deng
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - Q Du
- College of Physical Science and Technology, Sichuan University, Chengdu 610064
| | - H Gong
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - Q J Guo
- School of Physics, Peking University, Beijing 100871
| | - L He
- NUCTECH Company, Beijing 100084
| | - J W Hu
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - Q D Hu
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - H X Huang
- Department of Nuclear Physics, China Institute of Atomic Energy, Beijing 102413
| | - L P Jia
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - H Jiang
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - H Li
- NUCTECH Company, Beijing 100084
| | - J M Li
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - J Li
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - X Li
- Department of Nuclear Physics, China Institute of Atomic Energy, Beijing 102413
| | - X Q Li
- School of Physics, Nankai University, Tianjin 300071
| | - Y L Li
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - B Liao
- College of Nuclear Science and Technology, Beijing Normal University, Beijing 100875
| | - F K Lin
- Institute of Physics, Academia Sinica, Taipei 11529
| | - S T Lin
- College of Physical Science and Technology, Sichuan University, Chengdu 610064
| | - S K Liu
- College of Physical Science and Technology, Sichuan University, Chengdu 610064
| | - Y D Liu
- College of Nuclear Science and Technology, Beijing Normal University, Beijing 100875
| | - Y Y Liu
- College of Nuclear Science and Technology, Beijing Normal University, Beijing 100875
| | - Z Z Liu
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - J L Ma
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
- Department of Physics, Tsinghua University, Beijing 100084
| | - Y C Mao
- School of Physics, Peking University, Beijing 100871
| | - H Pan
- NUCTECH Company, Beijing 100084
| | - J Ren
- Department of Nuclear Physics, China Institute of Atomic Energy, Beijing 102413
| | - X C Ruan
- Department of Nuclear Physics, China Institute of Atomic Energy, Beijing 102413
| | - V Sharma
- Institute of Physics, Academia Sinica, Taipei 11529
- Department of Physics, Banaras Hindu University, Varanasi 221005
| | - Z She
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - M B Shen
- YaLong River Hydropower Development Company, Chengdu 610051
| | - L Singh
- Institute of Physics, Academia Sinica, Taipei 11529
- Department of Physics, Banaras Hindu University, Varanasi 221005
| | - M K Singh
- Institute of Physics, Academia Sinica, Taipei 11529
- Department of Physics, Banaras Hindu University, Varanasi 221005
| | - T X Sun
- College of Nuclear Science and Technology, Beijing Normal University, Beijing 100875
| | - C J Tang
- College of Physical Science and Technology, Sichuan University, Chengdu 610064
| | - W Y Tang
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - Y Tian
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - G F Wang
- College of Nuclear Science and Technology, Beijing Normal University, Beijing 100875
| | - J M Wang
- YaLong River Hydropower Development Company, Chengdu 610051
| | - L Wang
- Department of Physics, Beijing Normal University, Beijing 100875
| | - Q Wang
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
- Department of Physics, Tsinghua University, Beijing 100084
| | - Y Wang
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
- Department of Physics, Tsinghua University, Beijing 100084
| | - Y X Wang
- School of Physics, Peking University, Beijing 100871
| | - S Y Wu
- YaLong River Hydropower Development Company, Chengdu 610051
| | - Y C Wu
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - H Y Xing
- College of Physical Science and Technology, Sichuan University, Chengdu 610064
| | - Y Xu
- School of Physics, Nankai University, Tianjin 300071
| | - T Xue
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - N Yi
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - C X Yu
- School of Physics, Nankai University, Tianjin 300071
| | - H J Yu
- NUCTECH Company, Beijing 100084
| | - J F Yue
- YaLong River Hydropower Development Company, Chengdu 610051
| | - X H Zeng
- YaLong River Hydropower Development Company, Chengdu 610051
| | - M Zeng
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - Z Zeng
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - F S Zhang
- College of Nuclear Science and Technology, Beijing Normal University, Beijing 100875
| | - Y H Zhang
- YaLong River Hydropower Development Company, Chengdu 610051
| | - M G Zhao
- School of Physics, Nankai University, Tianjin 300071
| | - J F Zhou
- YaLong River Hydropower Development Company, Chengdu 610051
| | - Z Y Zhou
- Department of Nuclear Physics, China Institute of Atomic Energy, Beijing 102413
| | - J J Zhu
- College of Physical Science and Technology, Sichuan University, Chengdu 610064
| | - Z H Zhu
- YaLong River Hydropower Development Company, Chengdu 610051
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Yuan WH, Liu HL, Wei WZ, Ma ZY, Hao P, Deng Z, Deng K, Zhang J, Lu ZH. A simple method for in situ measurement of vacuum window birefringence. Rev Sci Instrum 2019; 90:113001. [PMID: 31779433 DOI: 10.1063/1.5121568] [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: 07/26/2019] [Accepted: 10/21/2019] [Indexed: 06/10/2023]
Abstract
We present a simple method to measure the degrees of circular polarization (DoCP) of laser light inside a vacuum chamber and the birefringence of a vacuum window by detecting the fluorescence emitted by Doppler cooled ions in an ion trap. Imperfect laser polarization will cause ions to be pumped to the dark state which will decrease the fluorescence rates of the ions. With a simulation based on the rate equations of the relevant energy levels of 25Mg+ ions, we find that the fluorescence rate is sensitive to the DoCP of the laser. Based on the simulation result, we present a new method to optimize the DoCP of the laser inside the vacuum chamber by adjusting fast axis azimuthal angles of a half-wave plate and a quarter-wave plate outside the vacuum chamber. The laser light is optimized to be circularly polarized with an uncertainty of the DoCP of 7.8 × 10-5. With the obtained polarization information on both sides of the vacuum window and treating the vacuum window as an unknown wave plate, the phase delay and the fast axis azimuthal angle of the vacuum window can be determined in the form of Mueller matrix. The phase delay is determined to be 197.60(39)°, and the fast axis azimuthal angle is determined to be 104.00(5)°.
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Affiliation(s)
- W H Yuan
- MOE Key Laboratory of Fundamental Physical Quantities Measurement, Hubei Key Laboratory of Gravitation and Quantum Physics, PGMF and School of Physics, Huazhong University of Science and Technology, Wuhan 430074, People's Republic of China
| | - H L Liu
- MOE Key Laboratory of Fundamental Physical Quantities Measurement, Hubei Key Laboratory of Gravitation and Quantum Physics, PGMF and School of Physics, Huazhong University of Science and Technology, Wuhan 430074, People's Republic of China
| | - W Z Wei
- MOE Key Laboratory of Fundamental Physical Quantities Measurement, Hubei Key Laboratory of Gravitation and Quantum Physics, PGMF and School of Physics, Huazhong University of Science and Technology, Wuhan 430074, People's Republic of China
| | - Z Y Ma
- MOE Key Laboratory of Fundamental Physical Quantities Measurement, Hubei Key Laboratory of Gravitation and Quantum Physics, PGMF and School of Physics, Huazhong University of Science and Technology, Wuhan 430074, People's Republic of China
| | - P Hao
- MOE Key Laboratory of Fundamental Physical Quantities Measurement, Hubei Key Laboratory of Gravitation and Quantum Physics, PGMF and School of Physics, Huazhong University of Science and Technology, Wuhan 430074, People's Republic of China
| | - Z Deng
- MOE Key Laboratory of Fundamental Physical Quantities Measurement, Hubei Key Laboratory of Gravitation and Quantum Physics, PGMF and School of Physics, Huazhong University of Science and Technology, Wuhan 430074, People's Republic of China
| | - K Deng
- MOE Key Laboratory of Fundamental Physical Quantities Measurement, Hubei Key Laboratory of Gravitation and Quantum Physics, PGMF and School of Physics, Huazhong University of Science and Technology, Wuhan 430074, People's Republic of China
| | - J Zhang
- MOE Key Laboratory of Fundamental Physical Quantities Measurement, Hubei Key Laboratory of Gravitation and Quantum Physics, PGMF and School of Physics, Huazhong University of Science and Technology, Wuhan 430074, People's Republic of China
| | - Z H Lu
- MOE Key Laboratory of Fundamental Physical Quantities Measurement, Hubei Key Laboratory of Gravitation and Quantum Physics, PGMF and School of Physics, Huazhong University of Science and Technology, Wuhan 430074, People's Republic of China
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45
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Liu ZZ, Yue Q, Yang LT, Kang KJ, Li YJ, Wong HT, Agartioglu M, An HP, Chang JP, Chen JH, Chen YH, Cheng JP, Deng Z, Du Q, Gong H, Guo XY, Guo QJ, He L, He SM, Hu JW, Hu QD, Huang HX, Jia LP, Jiang H, Li HB, Li H, Li JM, Li J, Li X, Li XQ, Li YL, Liao B, Lin FK, Lin ST, Liu SK, Liu YD, Liu YY, Ma H, Ma JL, Mao YC, Ning JH, Pan H, Qi NC, Ren J, Ruan XC, Sharma V, She Z, Singh L, Singh MK, Sun TX, Tang CJ, Tang WY, Tian Y, Wang GF, Wang L, Wang Q, Wang Y, Wang YX, Wu SY, Wu YC, Xing HY, Xu Y, Xue T, Yi N, Yu CX, Yu HJ, Yue JF, Zeng M, Zeng Z, Zhang FS, Zhao MG, Zhou JF, Zhou ZY, Zhu JJ. Constraints on Spin-Independent Nucleus Scattering with sub-GeV Weakly Interacting Massive Particle Dark Matter from the CDEX-1B Experiment at the China Jinping Underground Laboratory. Phys Rev Lett 2019; 123:161301. [PMID: 31702340 DOI: 10.1103/physrevlett.123.161301] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/13/2019] [Indexed: 06/10/2023]
Abstract
We report results on the searches of weakly interacting massive particles (WIMPs) with sub-GeV masses (m_{χ}) via WIMP-nucleus spin-independent scattering with Migdal effect incorporated. Analysis on time-integrated (TI) and annual modulation (AM) effects on CDEX-1B data are performed, with 737.1 kg day exposure and 160 eVee threshold for TI analysis, and 1107.5 kg day exposure and 250 eVee threshold for AM analysis. The sensitive windows in m_{χ} are expanded by an order of magnitude to lower DM masses with Migdal effect incorporated. New limits on σ_{χN}^{SI} at 90% confidence level are derived as 2×10^{-32}∼7×10^{-35} cm^{2} for TI analysis at m_{χ}∼50-180 MeV/c^{2}, and 3×10^{-32}∼9×10^{-38} cm^{2} for AM analysis at m_{χ}∼75 MeV/c^{2}-3.0 GeV/c^{2}.
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Affiliation(s)
- Z Z Liu
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - Q Yue
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - L T Yang
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - K J Kang
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - Y J Li
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - H T Wong
- Institute of Physics, Academia Sinica, Taipei 11529
| | - M Agartioglu
- Institute of Physics, Academia Sinica, Taipei 11529
- Department of Physics, Dokuz Eylül University, İzmir 35160
| | - H P An
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
- Department of Physics, Tsinghua University, Beijing 100084
| | | | - J H Chen
- Institute of Physics, Academia Sinica, Taipei 11529
| | - Y H Chen
- YaLong River Hydropower Development Company, Chengdu 610051
| | - J P Cheng
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
- College of Nuclear Science and Technology, Beijing Normal University, Beijing 100875
| | - Z Deng
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - Q Du
- College of Physical Science and Technology, Sichuan University, Chengdu 610065
| | - H Gong
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - X Y Guo
- YaLong River Hydropower Development Company, Chengdu 610051
| | - Q J Guo
- School of Physics, Peking University, Beijing 100871
| | - L He
- NUCTECH Company, Beijing 100084
| | - S M He
- YaLong River Hydropower Development Company, Chengdu 610051
| | - J W Hu
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - Q D Hu
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - H X Huang
- Department of Nuclear Physics, China Institute of Atomic Energy, Beijing 102413
| | - L P Jia
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - H Jiang
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - H B Li
- Institute of Physics, Academia Sinica, Taipei 11529
| | - H Li
- NUCTECH Company, Beijing 100084
| | - J M Li
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - J Li
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - X Li
- Department of Nuclear Physics, China Institute of Atomic Energy, Beijing 102413
| | - X Q Li
- School of Physics, Nankai University, Tianjin 300071
| | - Y L Li
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - B Liao
- College of Nuclear Science and Technology, Beijing Normal University, Beijing 100875
| | - F K Lin
- Institute of Physics, Academia Sinica, Taipei 11529
| | - S T Lin
- College of Physical Science and Technology, Sichuan University, Chengdu 610065
| | - S K Liu
- College of Physical Science and Technology, Sichuan University, Chengdu 610065
| | - Y D Liu
- College of Nuclear Science and Technology, Beijing Normal University, Beijing 100875
| | - Y Y Liu
- College of Nuclear Science and Technology, Beijing Normal University, Beijing 100875
| | - H Ma
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - J L Ma
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
- Department of Physics, Tsinghua University, Beijing 100084
| | - Y C Mao
- School of Physics, Peking University, Beijing 100871
| | - J H Ning
- YaLong River Hydropower Development Company, Chengdu 610051
| | - H Pan
- NUCTECH Company, Beijing 100084
| | - N C Qi
- YaLong River Hydropower Development Company, Chengdu 610051
| | - J Ren
- Department of Nuclear Physics, China Institute of Atomic Energy, Beijing 102413
| | - X C Ruan
- Department of Nuclear Physics, China Institute of Atomic Energy, Beijing 102413
| | - V Sharma
- Institute of Physics, Academia Sinica, Taipei 11529
- Department of Physics, Banaras Hindu University, Varanasi 221005
| | - Z She
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - L Singh
- Institute of Physics, Academia Sinica, Taipei 11529
- Department of Physics, Banaras Hindu University, Varanasi 221005
| | - M K Singh
- Institute of Physics, Academia Sinica, Taipei 11529
- Department of Physics, Banaras Hindu University, Varanasi 221005
| | - T X Sun
- College of Nuclear Science and Technology, Beijing Normal University, Beijing 100875
| | - C J Tang
- College of Physical Science and Technology, Sichuan University, Chengdu 610065
| | - W Y Tang
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - Y Tian
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - G F Wang
- College of Nuclear Science and Technology, Beijing Normal University, Beijing 100875
| | - L Wang
- Department of Physics, Beijing Normal University, Beijing 100875
| | - Q Wang
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
- Department of Physics, Tsinghua University, Beijing 100084
| | - Y Wang
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
- Department of Physics, Tsinghua University, Beijing 100084
| | - Y X Wang
- School of Physics, Peking University, Beijing 100871
| | - S Y Wu
- YaLong River Hydropower Development Company, Chengdu 610051
| | - Y C Wu
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - H Y Xing
- College of Physical Science and Technology, Sichuan University, Chengdu 610065
| | - Y Xu
- School of Physics, Nankai University, Tianjin 300071
| | - T Xue
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - N Yi
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - C X Yu
- School of Physics, Nankai University, Tianjin 300071
| | - H J Yu
- NUCTECH Company, Beijing 100084
| | - J F Yue
- YaLong River Hydropower Development Company, Chengdu 610051
| | - M Zeng
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - Z Zeng
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - F S Zhang
- College of Nuclear Science and Technology, Beijing Normal University, Beijing 100875
| | - M G Zhao
- School of Physics, Nankai University, Tianjin 300071
| | - J F Zhou
- YaLong River Hydropower Development Company, Chengdu 610051
| | - Z Y Zhou
- Department of Nuclear Physics, China Institute of Atomic Energy, Beijing 102413
| | - J J Zhu
- College of Physical Science and Technology, Sichuan University, Chengdu 610065
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46
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Deng Z, Lu J, Wu D, Choi KS, Sun S, Nojima Y. Guest Editorial: Special Issue on New Advances in Deep-Transfer Learning. IEEE Trans Emerg Top Comput Intell 2019. [DOI: 10.1109/tetci.2019.2936641] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
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47
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Lei GX, Deng Z, Tan DH, Zhang D, Zhao ZQ. [Study on treatment of chronic tinnitus by tetanus stimulation and evaluation methods of tinnitus]. Lin Chung Er Bi Yan Hou Tou Jing Wai Ke Za Zhi 2019; 33:858-861. [PMID: 31446705 DOI: 10.13201/j.issn.1001-1781.2019.09.015] [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] [Subscribe] [Scholar Register] [Received: 03/19/2019] [Indexed: 11/12/2022]
Abstract
Objective:The purpose of this study was to explore the efficacy of tetanus stimulation in tinnitus treatment and the correlation between the mainstream questionnaires of tinnitus and tinnitus-matching in order to find a more convenient and accurate method for tinnitus evaluation. Method:Ten patients with chronic tinnitus and normal or mild hearing impairment were enrolled in this study, totaling 13 ears. Their age ranged from 23 to 53 years old. The stimulus sound(white noise, frequency modulation 14.1 Hz, repetitive amplitude modulation, duty cycle 0.5) was selected and the sound intensity was 50 dB SL. Experimental procedure: (4 minutes sound stimulation+4 minutes rest) ×4 times, totaling 32 minutes. The patients were treated three times a week for 5 weeks. The loudness of tinnitus was matched before and after each treatment, and tinnitus handicap inventory(THI), tinnitus handicap questionnaire(THQ) and visual analog scales(VAS) were also used for assessment before the first treatment each week. The loudness matching and the above scales were performed once more at follow-up for one week after end-of-treatment. Result:①Single treatment: the matched loudness value decreased by 1.000(0.000, 3.000) dB(Z=7.553, P<0.01) after each single treatment. ②After five weeks' treatment: the matched loudness value decreased(9.692±8.038) dB(t=4.348, P<0.01); VAS value decreased by 2.000(1.000, 3.000)(Z=2.890, P<0.01); total score of THQ decreased(7.389%±8.847%)(t=2.641, P<0.05). ③Correlation analysis: there was positive correlation between total scores of THI and THQ(r=0.747, P<0.01); the matched loudness values have positive correlation with VAS value(r=0.593, P<0.01), THI-F(r=0.346, P<0.01) and THQ-factor 3 score(r=0.294, P<0.05); there was positive correlation between the VAS value and THI-F(r=0.326, P<0.05), the total score of THI(r=0.466, P<0.01), THQ-factor 3 score(r=0.291, P<0.05), the total score of THQ(r=0.497, P<0.01). Conclusion:The loudness of tinnitus declined with significant fluctuation during tetanus sound therapy. THQ scale is recommended as a sensitive indicator for evaluating the efficacy of tinnitus treatment; VAS is recommended for rapid assessment of tinnitus. Tetanus stimulation is expected to become an important direction in tinnitus sound therapy.
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Affiliation(s)
- G X Lei
- Xiangnan University,Chenzhou,Hunan,423000,China.,Affiliated Hospital of Xiangnan University
| | - Z Deng
- Affiliated Hospital of Xiangnan University
| | - D H Tan
- Affiliated Hospital of Xiangnan University
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Deng Z, Oraby E, Eksteen J. The sulfide precipitation behaviour of Cu and Au from their aqueous alkaline glycinate and cyanide complexes. Sep Purif Technol 2019. [DOI: 10.1016/j.seppur.2019.02.056] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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Abstract
Objectives Irrigation is the cornerstone of treating skeletal infection by eliminating pathogens in wounds. A previous study shows that irrigation with normal saline (0.9%) and ethylenediaminetetraacetic acid (EDTA) could improve the removal of Staphylococcus aureus (S. aureus) and Escherichia coli (E. coli) compared with normal saline (NS) alone. However, it is still unclear whether EDTA solution is effective against infection with drug-resistant bacteria. Methods We established three wound infection models (skin defect, bone-exposed, implant-exposed) by inoculating the wounds with a variety of representative drug-resistant bacteria including methicillin-resistant S. aureus (MRSA), extended spectrum beta-lactamase-producing E. coli (ESBL-EC), multidrug-resistant Pseudomonas aeruginosa (MRPA), vancomycin-resistant Enterococcus (VRE), multidrug-resistant Acinetobacter baumannii (MRAB), multidrug-resistant Enterobacter (MRE), and multidrug-resistant Proteus mirabilis (MRPM). Irrigation and debridement were repeated until the wound culture became negative. The operating times required to eliminate pathogens in wounds were compared through survival analysis. Results Compared with other groups (NS, castile soap, benzalkonium chloride, and bacitracin), the EDTA group required fewer debridement and irrigation operations to achieve pathogen eradication in all three models of wound infection. Conclusion Irrigation with EDTA solution was more effective than the other irrigation fluids used in the treatment of wound infections caused by drug-resistant pathogens. Cite this article: Z. Deng, F. Liu, C. Li. Therapeutic effect of ethylenediaminetetraacetic acid irrigation solution against wound infection with drug-resistant bacteria in a rat model: an animal study. Bone Joint Res 2019;8:189–198. DOI: 10.1302/2046-3758.85.BJR-2018-0280.R3.
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Affiliation(s)
- Z Deng
- Department of Orthopaedics, Beijing Changping Hospital, Beijing, China
| | - F Liu
- Department of Nursing, Weihai Municipal Hospital, Weihai, China
| | - C Li
- Department of Orthopaedics, Beijing Changping Hospital, Beijing, China
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Han W, Chen BJ, Gu B, Zhao GQ, Yu S, Wang XC, Liu QQ, Deng Z, Li WM, Zhao JF, Cao LP, Peng Y, Shen X, Zhu XH, Yu RC, Maekawa S, Uemura YJ, Jin CQ. Li(Cd,Mn)P: a new cadmium based diluted ferromagnetic semiconductor with independent spin & charge doping. Sci Rep 2019; 9:7490. [PMID: 31097727 PMCID: PMC6522530 DOI: 10.1038/s41598-019-43754-x] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2018] [Accepted: 12/13/2018] [Indexed: 11/09/2022] Open
Abstract
We report a new diluted ferromagnetic semiconductor Li1+y(Cd,Mn)P, wherein carrier is doped via excess Li while spin is doped by isovalence substitution of Mn2+ into Cd2+. The extended Cd 4d-orbitals lead to more itinerant characters of Li1+y(Cd,Mn)P than that of analogous Li1+y(Zn,Mn)P. A higher Curie temperature of 45 K than that for Li1+y(Zn,Mn)P is obtained in Li1+y(Cd,Mn)P polycrystalline samples by Arrott plot technique. The p-type carriers are determined by Hall effect measurements. The first principle calculations and X-ray diffraction measurements indicate that occupation of excess Li is at Cd sites rather than the interstitial site. Consequently holes are doped by excess Li substitution. More interestingly Li1+y(Cd,Mn)P shows a very low coercive field (<100 Oe) and giant negative magnetoresistance (~80%) in ferromagnetic state that will benefit potential spintronics applications.
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Affiliation(s)
- W Han
- Beijing National Laboratory for Condensed Matter Physics, and Institute of Physics, Chinese Academy of Sciences, Beijing, 100190, China.,School of Physics, University of Chinese Academy of Sciences, Beijing, 100190, China.,Department of Physics and Electronic Engineering, Hebei Normal University for Nationalities, Chengde, 067000, China
| | - B J Chen
- Beijing National Laboratory for Condensed Matter Physics, and Institute of Physics, Chinese Academy of Sciences, Beijing, 100190, China.,School of Physics, University of Chinese Academy of Sciences, Beijing, 100190, China
| | - B Gu
- Kavli Institute for Theoretical Sciences & CAS Center for Excellence in Topological Quantum Computation, University of Chinese Academy of Sciences, Beijing, 100190, China.,Advanced Science Research Center, Japan Atomic Energy Agency, Tokai, 319-1195, Japan
| | - G Q Zhao
- Beijing National Laboratory for Condensed Matter Physics, and Institute of Physics, Chinese Academy of Sciences, Beijing, 100190, China.,School of Physics, University of Chinese Academy of Sciences, Beijing, 100190, China
| | - S Yu
- Beijing National Laboratory for Condensed Matter Physics, and Institute of Physics, Chinese Academy of Sciences, Beijing, 100190, China.,School of Physics, University of Chinese Academy of Sciences, Beijing, 100190, China
| | - X C Wang
- Beijing National Laboratory for Condensed Matter Physics, and Institute of Physics, Chinese Academy of Sciences, Beijing, 100190, China.,School of Physics, University of Chinese Academy of Sciences, Beijing, 100190, China
| | - Q Q Liu
- Beijing National Laboratory for Condensed Matter Physics, and Institute of Physics, Chinese Academy of Sciences, Beijing, 100190, China.,School of Physics, University of Chinese Academy of Sciences, Beijing, 100190, China
| | - Z Deng
- Beijing National Laboratory for Condensed Matter Physics, and Institute of Physics, Chinese Academy of Sciences, Beijing, 100190, China. .,School of Physics, University of Chinese Academy of Sciences, Beijing, 100190, China.
| | - W M Li
- Beijing National Laboratory for Condensed Matter Physics, and Institute of Physics, Chinese Academy of Sciences, Beijing, 100190, China.,School of Physics, University of Chinese Academy of Sciences, Beijing, 100190, China
| | - J F Zhao
- Beijing National Laboratory for Condensed Matter Physics, and Institute of Physics, Chinese Academy of Sciences, Beijing, 100190, China.,School of Physics, University of Chinese Academy of Sciences, Beijing, 100190, China
| | - L P Cao
- Beijing National Laboratory for Condensed Matter Physics, and Institute of Physics, Chinese Academy of Sciences, Beijing, 100190, China.,School of Physics, University of Chinese Academy of Sciences, Beijing, 100190, China
| | - Y Peng
- Beijing National Laboratory for Condensed Matter Physics, and Institute of Physics, Chinese Academy of Sciences, Beijing, 100190, China.,Department of Materials Science & Engineering, Sichuan University, Chengdu, China
| | - X Shen
- Beijing National Laboratory for Condensed Matter Physics, and Institute of Physics, Chinese Academy of Sciences, Beijing, 100190, China
| | - X H Zhu
- Department of Materials Science & Engineering, Sichuan University, Chengdu, China
| | - R C Yu
- Beijing National Laboratory for Condensed Matter Physics, and Institute of Physics, Chinese Academy of Sciences, Beijing, 100190, China
| | - S Maekawa
- Advanced Science Research Center, Japan Atomic Energy Agency, Tokai, 319-1195, Japan
| | - Y J Uemura
- Department of Physics, Columbia University, New York, New York, 10027, USA
| | - C Q Jin
- Beijing National Laboratory for Condensed Matter Physics, and Institute of Physics, Chinese Academy of Sciences, Beijing, 100190, China. .,School of Physics, University of Chinese Academy of Sciences, Beijing, 100190, China. .,Songshan Lake Materials Laboratory, Dongguan, Guangdong, 523808, China.
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