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Quan C, Liu Q, Yu L, Li C, Nie K, Ding G, Zhou H, Wang X, Sun W, Wang H, Yue M, Wei L, Zheng W, Lyu Q, Xing W, Zhang Z, Carr MJ, Zhang H, Shi W. SFTSV infection is associated with transient overproliferation of monoclonal lambda-type plasma cells. iScience 2023; 26:106799. [PMID: 37250798 PMCID: PMC10212991 DOI: 10.1016/j.isci.2023.106799] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2022] [Revised: 04/07/2023] [Accepted: 04/28/2023] [Indexed: 05/31/2023] Open
Abstract
The impairment of antibody-mediated immunity is a major factor associated with fatal cases of severe fever with thrombocytopenia syndrome (SFTS). By collating the clinical diagnosis reports of 30 SFTS cases, we discovered the overproliferation of monoclonal plasma cells (MCP cells, CD38+cLambda+cKappa-) in bone marrow, which has only been reported previously in multiple myeloma. The ratio of CD38+cLambda+ versus CD38+cKappa+ in SFTS cases with MCP cells was significantly higher than that in normal cases. MCP cells presented transient expression in the bone marrow, which was distinctly different from multiple myeloma. Moreover, the SFTS patients with MCP cells had higher clinical severity. Further, the overproliferation of MCP cells was also observed in SFTS virus (SFTSV)-infected mice with lethal infectious doses. Together, SFTSV infection induces transient overproliferation of monoclonal lambda-type plasma cells, which have important implications for the study of SFTSV pathogenesis, prognosis, and the rational development of therapeutics.
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Affiliation(s)
- Chuansong Quan
- Department of Infectious Disease, The Second Affiliated Hospital of Shandong First Medical University, Taian 271000, China
- Key Laboratory of Emerging Infectious Diseases in Universities of Shandong, School of Clinical and Basic Medical Sciences, Shandong First Medical University & Shandong Academy of Medical Sciences, Taian, 271000, China
| | - Qinghua Liu
- Department of Clinical Laboratory, The Second Affiliated Hospital of Shandong First Medical University, Taian 271000, China
| | - Lijuan Yu
- Key Laboratory of Emerging Infectious Diseases in Universities of Shandong, School of Clinical and Basic Medical Sciences, Shandong First Medical University & Shandong Academy of Medical Sciences, Taian, 271000, China
| | - Chunjing Li
- Department of Hematology, The Second Affiliated Hospital of Shandong First Medical University, Taian 271000, China
| | - Kaixiao Nie
- Key Laboratory of Emerging Infectious Diseases in Universities of Shandong, School of Clinical and Basic Medical Sciences, Shandong First Medical University & Shandong Academy of Medical Sciences, Taian, 271000, China
| | - Guoyong Ding
- School of Public Health, Shandong First Medical University & Shandong Academy of Medical Sciences, Ji’nan 250117, China
| | - Hong Zhou
- Key Laboratory of Emerging Infectious Diseases in Universities of Shandong, School of Clinical and Basic Medical Sciences, Shandong First Medical University & Shandong Academy of Medical Sciences, Taian, 271000, China
| | - Xinli Wang
- Department of Pathology, The Second Affiliated Hospital of Shandong First Medical University, Taian 271000, China
| | - Wenwen Sun
- Department of Pathology, The Second Affiliated Hospital of Shandong First Medical University, Taian 271000, China
| | - Huiliang Wang
- Department of Infectious Disease, The Second Affiliated Hospital of Shandong First Medical University, Taian 271000, China
| | - Maokui Yue
- Department of Critical Care Medicine, The Second Affiliated Hospital of Shandong First Medical University, Taian 271000, China
| | - Li Wei
- Department of Respiratory Medicine, The Second Affiliated Hospital of Shandong First Medical University, Taian 271000, China
| | - Wenjun Zheng
- Key Laboratory of Emerging Infectious Diseases in Universities of Shandong, School of Clinical and Basic Medical Sciences, Shandong First Medical University & Shandong Academy of Medical Sciences, Taian, 271000, China
| | - Qiang Lyu
- School of Public Health, Shandong First Medical University & Shandong Academy of Medical Sciences, Ji’nan 250117, China
| | - Weijia Xing
- School of Public Health, Shandong First Medical University & Shandong Academy of Medical Sciences, Ji’nan 250117, China
| | - Zhenjie Zhang
- Key Laboratory of Emerging Infectious Diseases in Universities of Shandong, School of Clinical and Basic Medical Sciences, Shandong First Medical University & Shandong Academy of Medical Sciences, Taian, 271000, China
| | - Michael J. Carr
- National Virus Reference Laboratory, School of Medicine, University College Dublin, Dublin 4, Ireland
- International Collaboration Unit, International Institute for Zoonosis Control, Hokkaido University, N20 W10 Kita-ku, Sapporo 001-0020, Japan
| | - Hong Zhang
- Department of Infectious Disease, The Second Affiliated Hospital of Shandong First Medical University, Taian 271000, China
- Department of Hematology, The Second Affiliated Hospital of Shandong First Medical University, Taian 271000, China
| | - Weifeng Shi
- Key Laboratory of Emerging Infectious Diseases in Universities of Shandong, School of Clinical and Basic Medical Sciences, Shandong First Medical University & Shandong Academy of Medical Sciences, Taian, 271000, China
- School of Public Health, Shandong First Medical University & Shandong Academy of Medical Sciences, Ji’nan 250117, China
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Zhang Z, Wang P, Ma C, Wang J, Li W, Quan C, Cao H, Guo H, Wang L, Yan C, Carr MJ, Meng L, Shi W. Host inflammatory response is the major factor in the progression of Chlamydia psittaci pneumonia. Front Immunol 2022; 13:929213. [PMID: 36119044 PMCID: PMC9478202 DOI: 10.3389/fimmu.2022.929213] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2022] [Accepted: 08/03/2022] [Indexed: 11/13/2022] Open
Abstract
PurposeChlamydia psittaci (C. psittaci) has caused sporadic, but recurring, fatal community-acquired pneumonia outbreaks worldwide, posing a serious threat to public health. Our understanding of host inflammatory responses to C. psittaci is limited, and many bronchitis cases of psittaci have rapidly progressed to pneumonia with deterioration.MethodsTo clarify the host inflammatory response in psittacosis, we analyzed clinical parameters, and compared transcriptomic data, concentrations of plasma cytokines/chemokines, and changes of immune cell populations in 17 laboratory-confirmed psittacosis cases, namely, 8 pneumonia and 9 bronchitis individuals, in order to assess transcriptomic profiles and pro-inflammatory responses.ResultsPsittacosis cases with pneumonia were found to have abnormal routine blood indices, liver damage, and unilateral pulmonary high-attenuation consolidation. Transcriptome sequencing revealed markedly elevated expression of several pro-inflammatory genes, especially interleukins and chemokines. A multiplex-biometric immunoassay showed that pneumonia cases had higher levels of serum cytokines (G-CSF, IL-2, IL-6, IL-10, IL-18, IP-10, MCP-3, and TNF-α) than bronchitis cases. Increases in activated neutrophils and decreases in the number of lymphocytes were also observed in pneumonia cases.ConclusionWe identified a number of plasma biomarkers distinct to C. psittaci pneumonia and a variety of cytokines elevated with immunopathogenic potential likely inducing an inflammatory milieu and acceleration of the disease progression of psittaci pneumonia. This enhances our understanding of inflammatory responses and changes in vascular endothelial markers in psittacosis with heterogeneous symptoms and should prove helpful for developing both preventative and therapeutic strategies.
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Affiliation(s)
- Zhenjie Zhang
- Key Laboratory of Etiology and Epidemiology of Emerging Infectious Diseases in Universities of Shandong, Shandong First Medical University and Shandong Academy of Medical Sciences, Taian, China
| | - Peihan Wang
- Beijing Institute of Genomics, Chinese Academy of Sciences, China National Center for Bioinformation, Beijing, China
| | - Chuanmin Ma
- Key Laboratory of Etiology and Epidemiology of Emerging Infectious Diseases in Universities of Shandong, Shandong First Medical University and Shandong Academy of Medical Sciences, Taian, China
| | - Jing Wang
- Key Laboratory of Etiology and Epidemiology of Emerging Infectious Diseases in Universities of Shandong, Shandong First Medical University and Shandong Academy of Medical Sciences, Taian, China
| | - Wenxin Li
- Department of Respiratory and Critical Care Medicine, Affiliated Hospital of Jining Medical University, Jining, China
| | - Chuansong Quan
- Key Laboratory of Etiology and Epidemiology of Emerging Infectious Diseases in Universities of Shandong, Shandong First Medical University and Shandong Academy of Medical Sciences, Taian, China
| | - Huae Cao
- Department of Infectious Disease, Xintai Third People’s Hospital, Xintai, China
| | - Hongfeng Guo
- Department of Infectious Disease, Xintai Third People’s Hospital, Xintai, China
| | - Liang Wang
- Key Laboratory of Etiology and Epidemiology of Emerging Infectious Diseases in Universities of Shandong, Shandong First Medical University and Shandong Academy of Medical Sciences, Taian, China
| | - Chengxin Yan
- Department of Medical Imaging, The Second Affiliated Hospital of Shandong First Medical University, Taian, China
| | - Michael J. Carr
- National Virus Reference Laboratory, School of Medicine, University College Dublin, Dublin, Ireland
- International Collaboration Unit, International Institute for Zoonosis Control, Hokkaido University, Sapporo, Japan
| | - Ling Meng
- Department of Respiratory and Critical Care Medicine, The Second Affiliated Hospital of Shandong First Medical University, Taian, China
- *Correspondence: Weifeng Shi, ; Ling Meng,
| | - Weifeng Shi
- Key Laboratory of Etiology and Epidemiology of Emerging Infectious Diseases in Universities of Shandong, Shandong First Medical University and Shandong Academy of Medical Sciences, Taian, China
- School of Public Health, Shandong First Medical University and Shandong Academy of Medical Sciences, Taian, China
- *Correspondence: Weifeng Shi, ; Ling Meng,
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Wen H, Feng Z, H. Ge, Quan C, Zhou X, Yang B, Liu F, Wang J, Y. Wang, J. Zhao, Zhou G, Wen X, Liu Y, Zhu X, Wang G, Zhang Y, Li B, Cai S, Zhang Z, Wu X. 603P Multi-cancer early detection in gynaecological malignancies based on integrating multi-omics assays by liquid biopsy: A prospective study. Ann Oncol 2022. [DOI: 10.1016/j.annonc.2022.07.731] [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] Open
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Li H, Zhao M, Zhang H, Quan C, Zhang D, Liu Y, Liu M, Xue C, Tan S, Guo Y, Zhao Y, Wu G, Gao GF, Cao B, Liu WJ. Pneumonia Severity and Phase Linked to Virus-Specific T Cell Responses with Distinct Immune Checkpoints during pH1N1 Infection. J Immunol 2022; 208:2154-2162. [PMID: 35418471 DOI: 10.4049/jimmunol.2101021] [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: 11/01/2021] [Accepted: 02/22/2022] [Indexed: 06/14/2023]
Abstract
The detailed features and the longitudinal variation of influenza-specific T cell responses within naturally infected patients and the relationship with disease severity remain uncertain. In this study, we characterized the longitudinal influenza-specific CD4+ and CD8+ T cell responses, T cell activation, and migration-related cytokine/chemokine secretion in pH1N1-infected patients with or without viral pneumonia with human PBMCs. Both the influenza-specific CD4+ and CD8+ T cells presented higher responses in patients with severe infection than in mild ones, but with distinct longitudinal variations, phenotypes of memory markers, and immune checkpoints. At 7 ± 3 d after onset of illness, effector CD8+ T cells (CD45RA+CCR7-) with high expression of inhibitory immune receptor CD200R dominated the specific T cell responses. However, at 21 ± 3 d after onset of illness, effector memory CD4+ T cells (CD45RA-CCR7-) with high expression of PD1, CTLA4, and LAG3 were higher among the patients with severe disease. The specific T cell magnitude, T cell activation, and migration-related cytokines/chemokines possessed a strong connection with disease severity. Our findings illuminate the distinct characteristics of immune system activation during dynamic disease phases and its correlation with lung injury of pH1N1 patients.
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Affiliation(s)
- Hui Li
- Department of Pulmonary and Critical Care Medicine, Laboratory of Clinical Microbiology and Infectious Diseases, China-Japan Friendship Hospital, Beijing, China
| | - Min Zhao
- CAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Hangjie Zhang
- NHC Key Laboratory of Biosafety, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Chuansong Quan
- NHC Key Laboratory of Biosafety, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Dannie Zhang
- NHC Key Laboratory of Biosafety, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Yingmei Liu
- Department of Pulmonary and Critical Care Medicine, Laboratory of Clinical Microbiology and Infectious Diseases, China-Japan Friendship Hospital, Beijing, China
| | - Meng Liu
- Clinical Center for Pulmonary Infections, Capital Medical University, Beijing, China
| | - Chunxue Xue
- Clinical Center for Pulmonary Infections, Capital Medical University, Beijing, China
| | - Shuguang Tan
- CAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China
| | - Yaxin Guo
- NHC Key Laboratory of Biosafety, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Yingze Zhao
- NHC Key Laboratory of Biosafety, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Guizhen Wu
- NHC Key Laboratory of Biosafety, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - George F Gao
- CAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China;
- University of Chinese Academy of Sciences, Beijing, China
- NHC Key Laboratory of Biosafety, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Bin Cao
- Department of Pulmonary and Critical Care Medicine, Laboratory of Clinical Microbiology and Infectious Diseases, China-Japan Friendship Hospital, Beijing, China;
- Clinical Center for Pulmonary Infections, Capital Medical University, Beijing, China
- Tsinghua University-Peking University Joint Center for Life Sciences, Beijing, China; and
| | - William J Liu
- NHC Key Laboratory of Biosafety, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China;
- Research Unit of Adaptive Evolution and Control of Emerging Viruses, Chinese Academy of Medical Sciences, Beijing, China
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Quan C, Zhang Z, Ding G, Sun F, Zhao H, Liu Q, Ma C, Wang J, Wang L, Zhao W, He J, Wang Y, He Q, Carr MJ, Wang D, Xiao Q, Shi W. Seroprevalence of influenza viruses in Shandong, Northern China during the COVID-19 pandemic. Front Med 2022; 16:984-990. [PMID: 36152125 PMCID: PMC9510416 DOI: 10.1007/s11684-022-0930-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2022] [Accepted: 04/21/2022] [Indexed: 01/19/2023]
Abstract
Nonpharmaceutical interventions (NPIs) have been commonly deployed to prevent and control the spread of the coronavirus disease 2019 (COVID-19), resulting in a worldwide decline in influenza prevalence. However, the influenza risk in China warrants cautious assessment. We conducted a cross-sectional, seroepidemiological study in Shandong Province, Northern China in mid-2021. Hemagglutination inhibition was performed to test antibodies against four influenza vaccine strains. A combination of descriptive and meta-analyses was adopted to compare the seroprevalence of influenza antibodies before and during the COVID-19 pandemic. The overall seroprevalence values against A/H1N1pdm09, A/H3N2, B/Victoria, and B/Yamagata were 17.8% (95% CI 16.2%-19.5%), 23.5% (95% CI 21.7%-25.4%), 7.6% (95% CI 6.6%-8.7%), and 15.0 (95% CI 13.5%-16.5%), respectively, in the study period. The overall vaccination rate was extremely low (2.6%). Our results revealed that antibody titers in vaccinated participants were significantly higher than those in unvaccinated individuals (P < 0.001). Notably, the meta-analysis showed that antibodies against A/H1N1pdm09 and A/H3N2 were significantly low in adults after the COVID-19 pandemic (P < 0.01). Increasing vaccination rates and maintaining NPIs are recommended to prevent an elevated influenza risk in China.
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Affiliation(s)
- Chuansong Quan
- Key Laboratory of Etiology and Epidemiology of Emerging Infectious Diseases in Universities of Shandong, Shandong First Medical University & Shandong Academy of Medical Sciences, Taian, 271000 China
| | - Zhenjie Zhang
- Key Laboratory of Etiology and Epidemiology of Emerging Infectious Diseases in Universities of Shandong, Shandong First Medical University & Shandong Academy of Medical Sciences, Taian, 271000 China
| | - Guoyong Ding
- School of Public Health, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, 250117 China
| | - Fengwei Sun
- The Department of Infectious Disease, The Second Affiliated Hospital of Shandong First Medical University, Taian, 271000 China
| | - Hengxia Zhao
- Clinical Laboratory, The Department of Clinical Laboratory, Boshan District Hospital, Zibo, 255200 China
| | - Qinghua Liu
- Clinical Laboratory, The Department of Clinical Laboratory, The Second Affiliated Hospital of Shandong First Medical University, Taian, 271000 China
| | - Chuanmin Ma
- Key Laboratory of Etiology and Epidemiology of Emerging Infectious Diseases in Universities of Shandong, Shandong First Medical University & Shandong Academy of Medical Sciences, Taian, 271000 China
| | - Jing Wang
- Key Laboratory of Etiology and Epidemiology of Emerging Infectious Diseases in Universities of Shandong, Shandong First Medical University & Shandong Academy of Medical Sciences, Taian, 271000 China
| | - Liang Wang
- Key Laboratory of Etiology and Epidemiology of Emerging Infectious Diseases in Universities of Shandong, Shandong First Medical University & Shandong Academy of Medical Sciences, Taian, 271000 China
| | - Wenbo Zhao
- Key Laboratory of Etiology and Epidemiology of Emerging Infectious Diseases in Universities of Shandong, Shandong First Medical University & Shandong Academy of Medical Sciences, Taian, 271000 China
| | - Jinjie He
- Clinical Laboratory, The Department of Clinical Laboratory, Boshan District Hospital, Zibo, 255200 China
| | - Yu Wang
- The Department of Cancer Center, Taian Tumor Prevention and Treatment Hospital, Taian, 271000 China
| | - Qian He
- School of Public Health, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, 250117 China
| | - Michael J. Carr
- National Virus Reference Laboratory, School of Medicine, University College Dublin, Dublin 4, Ireland ,International Collaboration Unit, International Institute for Zoonosis Control, Hokkaido University, Sapporo, Hokkaido, 0010020 Japan
| | - Dayan Wang
- Chinese National Influenza Center, National Institute for Viral Disease Control and Prevention, Collaboration Innovation Center for Diagnosis and Treatment of Infectious Diseases, Chinese Center for Disease Control and Prevention, Key Laboratory for Medical Virology, National Health and Family Planning Commission, Beijing, 102206 China
| | - Qiang Xiao
- Clinical Laboratory, The Department of Clinical Laboratory, The Second Affiliated Hospital of Shandong First Medical University, Taian, 271000 China
| | - Weifeng Shi
- Key Laboratory of Etiology and Epidemiology of Emerging Infectious Diseases in Universities of Shandong, Shandong First Medical University & Shandong Academy of Medical Sciences, Taian, 271000 China ,School of Public Health, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, 250117 China
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Zhang J, Lin H, Ye B, Zhao M, Zhan J, Dong S, Guo Y, Zhao Y, Li M, Liu S, Zhang H, Xiao W, Guo Y, Yue C, Zhang D, Yang M, Zhang J, Quan C, Shi W, Liu X, Liu P, Jiang Y, Wu G, Gao GF, Liu WJ. One-Year Sustained Cellular and Humoral Immunities in Coronavirus Disease 2019 (COVID-19) Convalescents. Clin Infect Dis 2021; 75:e1072-e1081. [PMID: 34609506 PMCID: PMC8524303 DOI: 10.1093/cid/ciab884] [Citation(s) in RCA: 35] [Impact Index Per Article: 11.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2021] [Indexed: 01/19/2023] Open
Abstract
BACKGROUND The longitudinal antigen-specific immunity in COVID-19 convalescents is crucial for long-term protection upon individual re-exposure to SARS-CoV-2, and even more pivotal for ultimately achieving population-level immunity. We conducted this cohort study to better understand the features of immune memory in individuals with different disease severities at 1 year post-disease onset. METHODS We conducted a systematic antigen-specific immune evaluation in 101 COVID-19 convalescents, who had asymptomatic, mild, moderate, or severe disease, through 2 visits at months 6 and 12 after disease onset. The SARS-CoV-2-specific antibodies, comprising neutralizing antibody (NAb), immunoglobulin (Ig) G, and IgM, were assessed by mutually corroborated assays (ie, neutralization, enzyme-linked immunosorbent assay [ELISA], and microparticle chemiluminescence immunoassay [MCLIA]). Meanwhile, T-cell memory against SARS-CoV-2 spike, membrane, and nucleocapsid proteins was tested through enzyme-linked immunospot assay (ELISpot), intracellular cytokine staining, and tetramer staining-based flow cytometry, respectively. RESULTS SARS-CoV-2-specific IgG antibodies, and NAb, can persist among >95% of COVID-19 convalescents from 6 to 12 months after disease onset. At least 19/71 (26%) of COVID-19 convalescents (double positive in ELISA and MCLIA) had detectable circulating IgM antibody against SARS-CoV-2 at 12 months post-disease onset. Notably, numbers of convalescents with positive SARS-CoV-2-specific T-cell responses (≥1 of the SARS-CoV-2 antigen S1, S2, M, and N proteins) were 71/76 (93%) and 67/73 (92%) at 6 and 12 months, respectively. Furthermore, both antibody and T-cell memory levels in the convalescents were positively associated with disease severity. CONCLUSIONS SARS-CoV-2-specific cellular and humoral immunities are durable at least until 1 year after disease onset.
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Affiliation(s)
- Jie Zhang
- NHC Key Laboratory of Biosafety, National Institute for
Viral Disease Control and Prevention, Chinese Center for Disease Control and
Prevention (China CDC), Beijing 102206, China
| | - Hao Lin
- NHC Key Laboratory of Biosafety, National Institute for
Viral Disease Control and Prevention, Chinese Center for Disease Control and
Prevention (China CDC), Beijing 102206, China
| | - Beiwei Ye
- NHC Key Laboratory of Biosafety, National Institute for
Viral Disease Control and Prevention, Chinese Center for Disease Control and
Prevention (China CDC), Beijing 102206, China
| | - Min Zhao
- CAS Key Laboratory of Pathogenic Microbiology and
Immunology, Institute of Microbiology, Chinese Academy of
Sciences, Beijing 100101, China
| | - Jianbo Zhan
- Hubei Provincial Center for Disease Control and
Prevention, Wuhan 430079, China
| | - Shaobo Dong
- Macheng Center for Disease Control and
Prevention, Huanggang 438300, China
| | - Yaxin Guo
- NHC Key Laboratory of Biosafety, National Institute for
Viral Disease Control and Prevention, Chinese Center for Disease Control and
Prevention (China CDC), Beijing 102206, China
| | - Yingze Zhao
- NHC Key Laboratory of Biosafety, National Institute for
Viral Disease Control and Prevention, Chinese Center for Disease Control and
Prevention (China CDC), Beijing 102206, China
| | - Min Li
- NHC Key Laboratory of Biosafety, National Institute for
Viral Disease Control and Prevention, Chinese Center for Disease Control and
Prevention (China CDC), Beijing 102206, China
| | - Sai Liu
- NHC Key Laboratory of Biosafety, National Institute for
Viral Disease Control and Prevention, Chinese Center for Disease Control and
Prevention (China CDC), Beijing 102206, China
- College of Laboratory Medicine and Life Sciences, Wenzhou
Medical University, Wenzhou 325035, China
| | - Hangjie Zhang
- NHC Key Laboratory of Biosafety, National Institute for
Viral Disease Control and Prevention, Chinese Center for Disease Control and
Prevention (China CDC), Beijing 102206, China
| | - Wenling Xiao
- NHC Key Laboratory of Biosafety, National Institute for
Viral Disease Control and Prevention, Chinese Center for Disease Control and
Prevention (China CDC), Beijing 102206, China
- College of Laboratory Medicine and Life Sciences, Wenzhou
Medical University, Wenzhou 325035, China
| | - Yuanyuan Guo
- NHC Key Laboratory of Biosafety, National Institute for
Viral Disease Control and Prevention, Chinese Center for Disease Control and
Prevention (China CDC), Beijing 102206, China
| | - Can Yue
- NHC Key Laboratory of Biosafety, National Institute for
Viral Disease Control and Prevention, Chinese Center for Disease Control and
Prevention (China CDC), Beijing 102206, China
- Savaid Medical School, University of Chinese Academy of
Sciences, Beijing 100049, China
| | - Danni Zhang
- NHC Key Laboratory of Biosafety, National Institute for
Viral Disease Control and Prevention, Chinese Center for Disease Control and
Prevention (China CDC), Beijing 102206, China
| | - Mengjie Yang
- NHC Key Laboratory of Biosafety, National Institute for
Viral Disease Control and Prevention, Chinese Center for Disease Control and
Prevention (China CDC), Beijing 102206, China
| | - Jing Zhang
- NHC Key Laboratory of Biosafety, National Institute for
Viral Disease Control and Prevention, Chinese Center for Disease Control and
Prevention (China CDC), Beijing 102206, China
| | - Chuansong Quan
- Key Laboratory of Etiology and Epidemiology of Emerging
Infectious Diseases in Universities of Shandong, Shandong First Medical
University & Shandong Academy of Medical Sciences, Taian
271016, China
| | - Weifeng Shi
- Key Laboratory of Etiology and Epidemiology of Emerging
Infectious Diseases in Universities of Shandong, Shandong First Medical
University & Shandong Academy of Medical Sciences, Taian
271016, China
| | - Xinxue Liu
- Oxford Vaccine Group, Department of Paediatrics,
University of Oxford, Oxford OX3 9DU, UK
| | - Peipei Liu
- NHC Key Laboratory of Biosafety, National Institute for
Viral Disease Control and Prevention, Chinese Center for Disease Control and
Prevention (China CDC), Beijing 102206, China
| | - Yongzhong Jiang
- Hubei Provincial Center for Disease Control and
Prevention, Wuhan 430079, China
| | - Guizhen Wu
- NHC Key Laboratory of Biosafety, National Institute for
Viral Disease Control and Prevention, Chinese Center for Disease Control and
Prevention (China CDC), Beijing 102206, China
- Corresponding Author:
| | - George F Gao
- NHC Key Laboratory of Biosafety, National Institute for
Viral Disease Control and Prevention, Chinese Center for Disease Control and
Prevention (China CDC), Beijing 102206, China
- CAS Key Laboratory of Pathogenic Microbiology and
Immunology, Institute of Microbiology, Chinese Academy of
Sciences, Beijing 100101, China
- Savaid Medical School, University of Chinese Academy of
Sciences, Beijing 100049, China
- Corresponding Author:
| | - William J Liu
- NHC Key Laboratory of Biosafety, National Institute for
Viral Disease Control and Prevention, Chinese Center for Disease Control and
Prevention (China CDC), Beijing 102206, China
- College of Laboratory Medicine and Life Sciences, Wenzhou
Medical University, Wenzhou 325035, China
- Corresponding Author: William J. Liu, PhD; National Institute for
Viral Disease Control and Prevention, Chinese Center for Disease Control and
Prevention (China CDC), Changping District, Beijing 102206, The People’s
Republic of China. Tel.: 86-10-63510565; E-mail:
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7
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Li Y, Quan C, Xing W, Wang P, Gao J, Zhang Z, Jiang X, Ma C, Carr MJ, He Q, Gao L, Bi Y, Tang H, Shi W. Rapid humoral immune responses are required for recovery from haemorrhagic fever with renal syndrome patients. Emerg Microbes Infect 2021; 9:2303-2314. [PMID: 32990499 PMCID: PMC8284976 DOI: 10.1080/22221751.2020.1830717] [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] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Haemorrhagic fever with renal syndrome (HFRS) following Hantaan virus (HTNV) infection displays variable clinical signs. Humoral responses elicited during HTNV infections are considered important, however, this process remains poorly understood. Herein, we have investigated the phenotype, temporal dynamics, and characteristics of B-cell receptor (BCR) repertoire in an HFRS cohort. The serological profiles were characterized by a lowered expression level of nucleoprotein (NP)-specific antibody in severe cases. Importantly, B-cell subsets were activated and proliferated within the first two weeks of symptom onset and moderate cases reacted more rapidly. BCR analysis in the recovery phase revealed a dramatic increase in the immunoglobulin gene diversity which was more significantly progressed in moderate infections. In severe cases, B-cell-related transcription was lower with inflammatory sets overactivated. Taken together, these data suggest the clinical signs and disease recovery in HFRS patients were positively impacted by rapid and efficacious humoral responses.
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Affiliation(s)
- Yaoni Li
- Baoji Center Hospital, Baoji, People's Republic of China
| | - Chuansong Quan
- Key Laboratory of Etiology and Epidemiology of Emerging Infectious Diseases in Universities of Shandong, Shandong First Medical University & Shandong Academy of Medical Sciences, Taian, People's Republic of China
| | - Weijia Xing
- School of Public Health, Shandong First Medical University & Shandong Academy of Medical Sciences, Taian, People's Republic of China
| | - Peihan Wang
- Key Laboratory of Etiology and Epidemiology of Emerging Infectious Diseases in Universities of Shandong, Shandong First Medical University & Shandong Academy of Medical Sciences, Taian, People's Republic of China
| | - Jiming Gao
- Institute of Immunology, Shandong First Medical University& Shandong Academy of Medical Sciences, Taian, People's Republic of China
| | - Zhenjie Zhang
- Key Laboratory of Etiology and Epidemiology of Emerging Infectious Diseases in Universities of Shandong, Shandong First Medical University & Shandong Academy of Medical Sciences, Taian, People's Republic of China
| | - Xiaolin Jiang
- Shandong Center for Disease Control and Prevention, Jinan, People's Republic of China
| | - Chuanmin Ma
- Key Laboratory of Etiology and Epidemiology of Emerging Infectious Diseases in Universities of Shandong, Shandong First Medical University & Shandong Academy of Medical Sciences, Taian, People's Republic of China
| | - Michael J Carr
- National Virus Reference Laboratory, School of Medicine, University College Dublin, Dublin, Ireland.,Global Institution for Collaborative Research and Education (GI-CoRE), Hokkaido University, Kita-ku, Japan
| | - Qian He
- School of Public Health, Shandong First Medical University & Shandong Academy of Medical Sciences, Taian, People's Republic of China
| | - Lei Gao
- School of Life Sciences, Shandong First Medical University & Shandong Academy of Medical Sciences, Taian, People's Republic of China
| | - Yuhai Bi
- Key Laboratory of Pathogenic Microbiology and Immunology, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Disease, Institute of Microbiology, Center for Influenza Research and Early Warning, Chinese Academy of Sciences, Beijing, People's Republic of China
| | - Hua Tang
- Institute of Immunology, Shandong First Medical University& Shandong Academy of Medical Sciences, Taian, People's Republic of China
| | - Weifeng Shi
- Key Laboratory of Etiology and Epidemiology of Emerging Infectious Diseases in Universities of Shandong, Shandong First Medical University & Shandong Academy of Medical Sciences, Taian, People's Republic of China
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8
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Abstract
Local anaesthetics agents (LAA) are used ubiquitously in the medical field and in a wide variety of ways: tissue infiltration, perineural, intra-articular and intravenous. The purpose of this review is to explore the pharmacology of LAAs and to examine the clinical applications for LAAs.
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Affiliation(s)
- C Quan
- University of the Witwatersrand
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9
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Quan C. Two passions, one goal, and a pandemic: the future of medical education in South Africa. South Afr J Anaesth Analg 2020. [DOI: 10.36303/sajaa.2020.26.6.s2.2512] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Medical education in South Africa is experiencing two major disruptions: the Fourth Industrial Revolution and the COVID-19 pandemic. I will explore the effects these events have had on our education and possible solutions in the context of our country.
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Affiliation(s)
- C Quan
- University of the Witwatersrand
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10
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Bi Y, Tan S, Yang Y, Wong G, Zhao M, Zhang Q, Wang Q, Zhao X, Li L, Yuan J, Li H, Li H, Xu W, Shi W, Quan C, Zou R, Li J, Zheng H, Yang L, Liu WJ, Liu D, Wang H, Qin Y, Liu L, Jiang C, Liu W, Lu L, Gao GF, Liu Y. Clinical and Immunological Characteristics of Human Infections With H5N6 Avian Influenza Virus. Clin Infect Dis 2020; 68:1100-1109. [PMID: 30124826 DOI: 10.1093/cid/ciy681] [Citation(s) in RCA: 41] [Impact Index Per Article: 10.3] [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: 03/14/2018] [Accepted: 08/12/2018] [Indexed: 12/12/2022] Open
Abstract
BACKGROUND H5N6 avian influenza virus (AIV) has caused sporadic, recurring outbreaks in China and Southeast Asia since 2013, with 19 human infections and 13 deaths. Seventeen of these infections occurred since December 2015, indicating a recent rise in the frequency of H5N6 cases. METHODS To assess the relative threat of H5N6 virus to humans, we summarized and compared clinical data from patients infected with H5N6 (n = 19) against data from 2 subtypes of major public health concern, H5N1 (n = 53) and H7N9 (n = 160). To assess immune responses indicative of prognosis, we compared concentrations of serum cytokines/chemokines in patients infected with H5N6, H5N1, H7N9, and 2009 pandemic H1N1 and characterized specific immune responses from 1 surviving and 2 nonsurviving H5N6 patients. RESULTS H5N6 patients were found to have higher incidences of lymphopenia and elevated alanine aminotransferase and lactate dehydrogenase levels compared with H5N1 and H7N9 patients. Hypercytokinemia was detected at substantially higher frequencies from H5N6 patients compared to those infected with other AIV subtypes. Evaluation of adaptive immunity showed that both humoral and cellular responses could be detected in the H5N6-infected survivor, but cellular responses were absent in the nonsurvivors. In addition, the surviving patient had lower concentrations of both pro- and anti-inflammatory cytokines/chemokines compared to the nonsurvivors. CONCLUSIONS Our results support that H5N6 virus could potentially be a major public health threat, and suggest it is possible that the earlier acquisition of cellular immunity and lower concentrations of cytokines/chemokines contributed to survival in our patient. Analysis of more patient samples will be needed to draw concrete conclusions.
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Affiliation(s)
- Yuhai Bi
- Key Laboratory of Pathogenic Microbiology and Immunology, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Disease, Institute of Microbiology, Center for Influenza Research and Early Warning, Chinese Academy of Sciences, Beijing.,Shenzhen Key Laboratory of Pathogen and Immunity, State Key Discipline of Infectious Disease, Second Hospital Affiliated to Southern University of Science and Technology, Shenzhen Third People's Hospital, Shenzhen
| | - Shuguang Tan
- Key Laboratory of Pathogenic Microbiology and Immunology, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Disease, Institute of Microbiology, Center for Influenza Research and Early Warning, Chinese Academy of Sciences, Beijing.,Shenzhen Key Laboratory of Pathogen and Immunity, State Key Discipline of Infectious Disease, Second Hospital Affiliated to Southern University of Science and Technology, Shenzhen Third People's Hospital, Shenzhen
| | - Yang Yang
- Shenzhen Key Laboratory of Pathogen and Immunity, State Key Discipline of Infectious Disease, Second Hospital Affiliated to Southern University of Science and Technology, Shenzhen Third People's Hospital, Shenzhen
| | - Gary Wong
- Shenzhen Key Laboratory of Pathogen and Immunity, State Key Discipline of Infectious Disease, Second Hospital Affiliated to Southern University of Science and Technology, Shenzhen Third People's Hospital, Shenzhen
| | - Min Zhao
- Key Laboratory of Pathogenic Microbiology and Immunology, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Disease, Institute of Microbiology, Center for Influenza Research and Early Warning, Chinese Academy of Sciences, Beijing
| | - Qingchao Zhang
- State Key Laboratory of Medical Molecular Biology, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, Peking Union Medical College, Tsinghua University, Beijing
| | - Qiang Wang
- Shenzhen Key Laboratory of Pathogen and Immunity, State Key Discipline of Infectious Disease, Second Hospital Affiliated to Southern University of Science and Technology, Shenzhen Third People's Hospital, Shenzhen
| | - Xiaonan Zhao
- Yunnan Center for Disease Control and Prevention, Kunming, Shenzhen
| | | | - Jing Yuan
- Shenzhen Key Laboratory of Pathogen and Immunity, State Key Discipline of Infectious Disease, Second Hospital Affiliated to Southern University of Science and Technology, Shenzhen Third People's Hospital, Shenzhen
| | - Hao Li
- Intensive Care Unit, Eighth Affiliated Hospital of Sun Yat-sen University, Shenzhen
| | - Hong Li
- Yunnan Center for Disease Control and Prevention, Kunming, Shenzhen
| | - Wen Xu
- Yunnan Center for Disease Control and Prevention, Kunming, Shenzhen
| | - Weifeng Shi
- Institute of Pathogen Biology, Taishan Medical College, Taian
| | - Chuansong Quan
- National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing
| | - Rongrong Zou
- Shenzhen Key Laboratory of Pathogen and Immunity, State Key Discipline of Infectious Disease, Second Hospital Affiliated to Southern University of Science and Technology, Shenzhen Third People's Hospital, Shenzhen
| | - Jianming Li
- Shenzhen Key Laboratory of Pathogen and Immunity, State Key Discipline of Infectious Disease, Second Hospital Affiliated to Southern University of Science and Technology, Shenzhen Third People's Hospital, Shenzhen
| | - Haixia Zheng
- Shenzhen Key Laboratory of Pathogen and Immunity, State Key Discipline of Infectious Disease, Second Hospital Affiliated to Southern University of Science and Technology, Shenzhen Third People's Hospital, Shenzhen
| | - Liuqing Yang
- Shenzhen Key Laboratory of Pathogen and Immunity, State Key Discipline of Infectious Disease, Second Hospital Affiliated to Southern University of Science and Technology, Shenzhen Third People's Hospital, Shenzhen
| | - William J Liu
- National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing
| | - Di Liu
- Key Laboratory of Pathogenic Microbiology and Immunology, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Disease, Institute of Microbiology, Center for Influenza Research and Early Warning, Chinese Academy of Sciences, Beijing
| | - Huijun Wang
- Diqing Tibetan Autonomous Prefecture Centers for Disease Control and Prevention, Shangri-la
| | - Yantao Qin
- Diqing Tibetan Autonomous Prefecture Centers for Disease Control and Prevention, Shangri-la
| | - Lei Liu
- Shenzhen Key Laboratory of Pathogen and Immunity, State Key Discipline of Infectious Disease, Second Hospital Affiliated to Southern University of Science and Technology, Shenzhen Third People's Hospital, Shenzhen
| | - Chengyu Jiang
- State Key Laboratory of Medical Molecular Biology, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, Peking Union Medical College, Tsinghua University, Beijing
| | - Wenjun Liu
- Key Laboratory of Pathogenic Microbiology and Immunology, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Disease, Institute of Microbiology, Center for Influenza Research and Early Warning, Chinese Academy of Sciences, Beijing
| | - Lin Lu
- Yunnan Center for Disease Control and Prevention, Kunming, Shenzhen
| | - George F Gao
- Key Laboratory of Pathogenic Microbiology and Immunology, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Disease, Institute of Microbiology, Center for Influenza Research and Early Warning, Chinese Academy of Sciences, Beijing.,Shenzhen Key Laboratory of Pathogen and Immunity, State Key Discipline of Infectious Disease, Second Hospital Affiliated to Southern University of Science and Technology, Shenzhen Third People's Hospital, Shenzhen.,National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing.,University of Chinese Academy of Sciences Medical School, Beijing, People's Republic of China
| | - Yingxia Liu
- Shenzhen Key Laboratory of Pathogen and Immunity, State Key Discipline of Infectious Disease, Second Hospital Affiliated to Southern University of Science and Technology, Shenzhen Third People's Hospital, Shenzhen
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11
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Quan C, Wang Q, Zhang J, Zhao M, Dai Q, Huang T, Zhang Z, Mao S, Nie Y, Liu J, Xie Y, Zhang B, Bi Y, Shi W, Liu P, Wang D, Feng L, Yu H, Liu WJ, Gao GF. Avian Influenza A Viruses among Occupationally Exposed Populations, China, 2014-2016. Emerg Infect Dis 2020; 25:2215-2225. [PMID: 31742536 PMCID: PMC6874249 DOI: 10.3201/eid2512.190261] [Citation(s) in RCA: 27] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/28/2023] Open
Abstract
To determine the seroprevalence and seroconversion of avian influenza virus (AIV) antibodies in poultry workers, we conducted a seroepidemiologic study in 7 areas of China during December 2014–April 2016. We used viral isolation and reverse transcription PCR to detect AIVs in specimens from live poultry markets. We analyzed 2,124 serum samples obtained from 1,407 poultry workers by using hemagglutination inhibition and microneutralization assays. We noted seroprevalence of AIV antibodies for subtypes H9N2, H7N9, H6N1, H5N1-SC29, H5N6, H5N1-SH199, and H6N6. In serum from participants with longitudinal samples, we noted seroconversion, with >4-fold rise in titers, for H9N2, H7N9, H6N1, H5N1-SC29, H6N6, H5N6, and H5N1-SH199 subtypes. We found no evidence of H10N8 subtype. The distribution of AIV antibodies provided evidence of asymptomatic infection. We found that AIV antibody prevalence in live poultry markets correlated with increased risk for H7N9 and H9N2 infection among poultry workers.
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12
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Zhangbao BJZ, Zhou L, Wang L, Huang WJ, Zhao CB, Lu JH, Quan C. [Clinical characteristics of myelin oligodendrocyte glycoprotein antibody associated myelitis]. Zhonghua Yi Xue Za Zhi 2020; 100:334-338. [PMID: 32074775 DOI: 10.3760/cma.j.issn.0376-2491.2020.05.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/10/2023]
Abstract
Objective: To evaluate the clinical characteristics of myelin oligodendrocyte glycoprotein antibody (MOG-IgG) associated myelitis in a cohort of Chinese Han adults. Methods: From January 2016 to December 2017, 70 patients with MOG-IgG associated disorders (MOGAD) and 120 patients with aquaporin 4 antibody (AQP4-IgG) positive neuromyelitis optica spectrum disorders (NMOSD) visited the NMO/MS clinic or the neurology ward of Huashan Hospital, and the neurophthalmology clinic of Eye and ENT hospital, Shanghai Medical College, Fudan University were enrolled. The clinical and paraclinical data of the patients were retrospectively reviewed. The characteristics of MOG-IgG associated myelitis were further clarified. Results: Sixteen of the 70 patients with MOGAD had ever experienced myelitis. The frequency of myelitis was 18.6% at the first attack and 22.9% throughout the disease duration. The onset age of MOG-IgG associated myelitis was 9-57(30±11) years, and the female to male ratio was 0.6∶1. Compared with AQP4-IgG positive myelitis attacks, MOG-IgG associated myelitis attacks were more common to be accompanied by feverish prodromal symptom (30.8%) while less common to exhibit painful tonic (12.5%). Longitudinally extensive myelitis (>3 vertebral segments) was less frequent (56.3%), and short-segment myelitis and multiple short-segment myelitis could also be seen. MRI showed that MOGAD patients had more lower spinal cord lesions (20%), fewer cervical cord lesions (40%) and less transverse lesions (52%). Axial H sign was a distinct feature (36%). MOG-IgG associated myelitis attack also demonstrated a lower EDSS score after treatment. Conclusion: MOG-IgG associated myelitis should be recognized as an important clinical component of MOGAD.
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Affiliation(s)
- B J Z Zhangbao
- Department of Neurology, Huashan Hospital, Fudan University, Shanghai 200040, China
| | - L Zhou
- Department of Neurology, Huashan Hospital, Fudan University, Shanghai 200040, China
| | - L Wang
- Department of Neurology, Huashan Hospital, Fudan University, Shanghai 200040, China
| | - W J Huang
- Department of Neurology, Huashan Hospital, Fudan University, Shanghai 200040, China
| | - C B Zhao
- Department of Neurology, Huashan Hospital, Fudan University, Shanghai 200040, China
| | - J H Lu
- Department of Neurology, Huashan Hospital, Fudan University, Shanghai 200040, China
| | - C Quan
- Department of Neurology, Huashan Hospital, Fudan University, Shanghai 200040, China
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13
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Jing S, Lu J, Song J, Luo S, Zhou L, Quan C, Xi J, Zhao C. P.376Effect of low-dose rituximab treatment on T- and B-cell lymphocyte imbalance in refractory myasthenia gravis. Neuromuscul Disord 2019. [DOI: 10.1016/j.nmd.2019.06.538] [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: 11/24/2022]
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14
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Bao L, Bi Y, Wong G, Qi W, Li F, Lv Q, Wang L, Liu F, Yang Y, Zhang C, Liu WJ, Quan C, Jia W, Liu Y, Liu W, Liao M, Gao GF, Qin C. Diverse biological characteristics and varied virulence of H7N9 from Wave 5. Emerg Microbes Infect 2019; 8:94-102. [PMID: 30866763 PMCID: PMC6456849 DOI: 10.1080/22221751.2018.1560234] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [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] [Indexed: 01/18/2023]
Abstract
There was a substantial increase with infections of H7N9 avian influenza virus (AIV) in humans during Wave 5 (2016-2017). To investigate whether H7N9 had become more infectious/transmissible and pathogenic overall, we characterized the receptor binding and experimentally infected ferrets with highly pathogenic (HP)- and low pathogenic (LP)-H7N9 isolates selected from Wave 5, and compared their pathogenicity and transmissibility with a Wave 1 isolate from 2013. Studies show that A/Anhui/1/2013 (LP) and A/Chicken/Heyuan/16876/2016 (HP) were highly virulent in ferrets, A/Guangdong/Th008/2017 (HP) and A/Chicken/Huizhou/HZ-3/2017 (HP) had moderate virulence and A/Shenzhen/Th001/2016 (LP) was of low virulence in ferrets. Transmission was observed only in ferrets infected with A/Anhui/1/2013 and A/Chicken/Heyuan/16876/2016, consistent with the idea that sicker ferrets had a higher probability to transmit virus to naive animals. Given the Varied virulence and transmissibility observed in circulating H7N9 viruses from Wave 5, we conclude that the current public health risk of H7N9 has not substantially increased compared to 2013 and the circulating viruses are quite diverse.
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Affiliation(s)
- Linlin Bao
- a Institute of Laboratory Animal Sciences, Chinese Academy of Medical Sciences (CAMS) & Comparative Medicine Center, Peking Union Medical Collage (PUMC); Key Laboratory of Human Disease Comparative Medicine, Ministry of Health , Beijing Key Laboratory for Animal Models of Emerging and Reemerging Infectious , Beijing , People's Republic of China
| | - Yuhai Bi
- b Shenzhen Key Laboratory of Pathogen and Immunity, Guangdong Key Laboratory for Diagnosis and Treatment of Emerging Infectious Diseases, State Key Discipline of Infectious Disease , Second Hospital Affiliated to Southern University of Science and Technology, Shenzhen Third People's Hospital , People's Republic of China.,c CAS Key Laboratory of Pathogenic Microbiology and Immunology, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Disease, Institute of Microbiology , Center for Influenza Research and Early-warning (CASCIRE), Chinese Academy of Sciences , Beijing , People's Republic of China
| | - Gary Wong
- b Shenzhen Key Laboratory of Pathogen and Immunity, Guangdong Key Laboratory for Diagnosis and Treatment of Emerging Infectious Diseases, State Key Discipline of Infectious Disease , Second Hospital Affiliated to Southern University of Science and Technology, Shenzhen Third People's Hospital , People's Republic of China.,d Département de microbiologie-infectiologie et d'immunologie , Université Laval , Québec City , Canada
| | - Wenbao Qi
- e National and Regional Joint Engineering Laboratory for Medicament of Zoonoses Prevention and Control, College of Veterinary Medicine , South China Agricultural University , Guangzhou , People's Republic of China
| | - Fengdi Li
- a Institute of Laboratory Animal Sciences, Chinese Academy of Medical Sciences (CAMS) & Comparative Medicine Center, Peking Union Medical Collage (PUMC); Key Laboratory of Human Disease Comparative Medicine, Ministry of Health , Beijing Key Laboratory for Animal Models of Emerging and Reemerging Infectious , Beijing , People's Republic of China
| | - Qi Lv
- a Institute of Laboratory Animal Sciences, Chinese Academy of Medical Sciences (CAMS) & Comparative Medicine Center, Peking Union Medical Collage (PUMC); Key Laboratory of Human Disease Comparative Medicine, Ministry of Health , Beijing Key Laboratory for Animal Models of Emerging and Reemerging Infectious , Beijing , People's Republic of China
| | - Liang Wang
- c CAS Key Laboratory of Pathogenic Microbiology and Immunology, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Disease, Institute of Microbiology , Center for Influenza Research and Early-warning (CASCIRE), Chinese Academy of Sciences , Beijing , People's Republic of China
| | - Fei Liu
- c CAS Key Laboratory of Pathogenic Microbiology and Immunology, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Disease, Institute of Microbiology , Center for Influenza Research and Early-warning (CASCIRE), Chinese Academy of Sciences , Beijing , People's Republic of China
| | - Yang Yang
- b Shenzhen Key Laboratory of Pathogen and Immunity, Guangdong Key Laboratory for Diagnosis and Treatment of Emerging Infectious Diseases, State Key Discipline of Infectious Disease , Second Hospital Affiliated to Southern University of Science and Technology, Shenzhen Third People's Hospital , People's Republic of China
| | - Cheng Zhang
- c CAS Key Laboratory of Pathogenic Microbiology and Immunology, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Disease, Institute of Microbiology , Center for Influenza Research and Early-warning (CASCIRE), Chinese Academy of Sciences , Beijing , People's Republic of China
| | - William J Liu
- f National Institute for Viral Disease Control and Prevention , Chinese Center for Disease Control and Prevention (China CDC) , Beijing , People's Republic of China
| | - Chuansong Quan
- f National Institute for Viral Disease Control and Prevention , Chinese Center for Disease Control and Prevention (China CDC) , Beijing , People's Republic of China
| | - Weixin Jia
- e National and Regional Joint Engineering Laboratory for Medicament of Zoonoses Prevention and Control, College of Veterinary Medicine , South China Agricultural University , Guangzhou , People's Republic of China
| | - Yingxia Liu
- b Shenzhen Key Laboratory of Pathogen and Immunity, Guangdong Key Laboratory for Diagnosis and Treatment of Emerging Infectious Diseases, State Key Discipline of Infectious Disease , Second Hospital Affiliated to Southern University of Science and Technology, Shenzhen Third People's Hospital , People's Republic of China
| | - Wenjun Liu
- c CAS Key Laboratory of Pathogenic Microbiology and Immunology, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Disease, Institute of Microbiology , Center for Influenza Research and Early-warning (CASCIRE), Chinese Academy of Sciences , Beijing , People's Republic of China
| | - Ming Liao
- e National and Regional Joint Engineering Laboratory for Medicament of Zoonoses Prevention and Control, College of Veterinary Medicine , South China Agricultural University , Guangzhou , People's Republic of China
| | - George F Gao
- b Shenzhen Key Laboratory of Pathogen and Immunity, Guangdong Key Laboratory for Diagnosis and Treatment of Emerging Infectious Diseases, State Key Discipline of Infectious Disease , Second Hospital Affiliated to Southern University of Science and Technology, Shenzhen Third People's Hospital , People's Republic of China.,c CAS Key Laboratory of Pathogenic Microbiology and Immunology, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Disease, Institute of Microbiology , Center for Influenza Research and Early-warning (CASCIRE), Chinese Academy of Sciences , Beijing , People's Republic of China.,f National Institute for Viral Disease Control and Prevention , Chinese Center for Disease Control and Prevention (China CDC) , Beijing , People's Republic of China
| | - Chuan Qin
- a Institute of Laboratory Animal Sciences, Chinese Academy of Medical Sciences (CAMS) & Comparative Medicine Center, Peking Union Medical Collage (PUMC); Key Laboratory of Human Disease Comparative Medicine, Ministry of Health , Beijing Key Laboratory for Animal Models of Emerging and Reemerging Infectious , Beijing , People's Republic of China
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15
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Quan C. Response to ‘Myelin oligodendrocyte glycoprotein antibody associated disease: about the importance of diagnostic assays and selection of the target population in retrospective studies’. Eur J Neurol 2019; 26:e60. [DOI: 10.1111/ene.13911] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2019] [Accepted: 01/21/2019] [Indexed: 11/27/2022]
Affiliation(s)
- C. Quan
- Department of Neurology Huashan Hospital Shanghai Medical College Fudan University Shanghai China
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16
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Quan C. Morphine spinals: ICU or ward? S Afr Fam Pract (2004) 2019. [DOI: 10.4102/safp.v61i2.4987] [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: 11/01/2022] Open
Abstract
No abstract available.
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17
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Xiong Y, He A, Quan C. Cryptoanalysis on optical image encryption systems based on the vector decomposition technique in the Fourier domain. Appl Opt 2019; 58:3301-3309. [PMID: 31044810 DOI: 10.1364/ao.58.003301] [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: 02/26/2019] [Accepted: 03/27/2019] [Indexed: 06/09/2023]
Abstract
In this paper, the security of optical cryptosystems based on the vector decomposition technique in the Fourier domain is analyzed. Compared to the conventional cryptosystem based on the equal modulus decomposition (EMD) technique, an additional EMD structure is introduced in the cascaded EMD-based cryptosystem; hence, the mask including the phase information of the Fourier spectrum is further encoded in the second EMD structure to enhance the security level. However, it is shown that the number of the private keys has not been increased in the cascaded EMD-based cryptosystem, which makes it possible to crack the cascaded EMD-based cryptosystem. Therefore, a chosen-plaintext attack (CPA) and a special attack with an arbitrarily given private key are proposed to retrieve information from encoded images obtained by the cascaded EMD-based cryptosystem. In addition, the security of the cryptosystem based on the random modulus decomposition (RMD) technique is also analyzed. Compared to the EMD-based cryptosystem in which the Fourier spectrum is decomposed into two vectors with equal moduli, the security level of the cryptosystem has been improved by using the RMD technique to decompose the spectrum into vectors with unequal moduli to decrease the number of the amplitude constraints. However, it is found that the arbitrarily given ciphertext provides the attackers enough information to retrieve the precise information of the plaintext without any knowledge of the private keys. A special attack is proposed to crack the RMD-based cryptosystem. This is the first time to report that these two cryptosystems based on the vector decomposition technique are attacked successfully. Numerical simulation is conducted to validate the feasibility and effectiveness of the proposed attacks.
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Xiong Y, He A, Quan C. Security analysis and enhancement of a cryptosystem based on phase truncation and a designed amplitude modulator. Appl Opt 2019; 58:695-703. [PMID: 30694257 DOI: 10.1364/ao.58.000695] [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: 09/17/2018] [Accepted: 12/11/2018] [Indexed: 06/09/2023]
Abstract
In this paper, the security of a cryptosystem based on phase truncation and a designed amplitude modulator (AM) is evaluated. In the cryptosystem, an undercover AM used as an additional key is added to modulate the amplitude information of the spectrum in the Fourier plane. Compared to the conventional phase-truncated Fourier transform (PTFT)-based cryptosystem, the security of the cryptosystem is improved by increasing the number of unknown keys. However, it is found that the designed AM is irrelative to the plaintext, and one of the parameters in the designed AM contributes less to the security enhancement of the cryptosystem due to low key sensitivity. Based on the analysis, a special attack containing two iterative processes is proposed to crack the cryptosystem, in which the known-plaintext-attack-based iterative process I with a specific normalization operator is used to retrieve the designed AM and the amplitude-phase-retrieval-technique-based iterative process II is used to retrieve the corresponding plaintext from the arbitrarily given ciphertext with the help of the retrieved AM. In addition, an inherent drawback widely existing in PTFT-based cryptosystems is reported for the first time: most information of the original image could be retrieved using two correct phase keys (or only the first phase key) generated in the encryption process, even without the corresponding ciphertext in PTFT-based cryptosystems. To address this issue, a security-enhanced cryptosystem is proposed in this paper. Numerical simulation is carried out to demonstrate the effectiveness and feasibility of the proposed attack and cryptosystem.
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Yang Y, Wong G, Yang L, Tan S, Li J, Bai B, Xu Z, Li H, Xu W, Zhao X, Quan C, Zheng H, Liu WJ, Liu W, Liu L, Liu Y, Bi Y, Gao GF. Comparison between human infections caused by highly and low pathogenic H7N9 avian influenza viruses in Wave Five: Clinical and virological findings. J Infect 2019; 78:241-248. [PMID: 30664912 DOI: 10.1016/j.jinf.2019.01.005] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.8] [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: 12/17/2018] [Accepted: 01/14/2019] [Indexed: 12/30/2022]
Abstract
OBJECTIVE The newly emerged highly pathogenic (HP) H7N9 avian influenza virus during Wave Five has caused 28 human infections, while differences in disease severity between low pathogenic (LP)- and HP-H7N9 human infections remain unclear. METHODS Clinical data, concentrations of serum cytokines, dynamics of virus shedding and PaO2/FiO2 from patients infected with LP-H7N9 (n = 7, LP group) and HP-H7N9 (n = 5, HP group) viruses during Wave Five were compared. In addition, critical mutations associated with H7N9 virulence in mammal/human were analyzed. RESULTS Lymphopenia, elevated aspartate aminotransferase, alanine aminotransferase, C-reactive protein and lactate dehydrogenase were common features, with higher incidences of leukopenia and thrombocytopenia in the LP group. The acute phase of both groups was accompanied with elevated cytokines associated with disease severity, including MIF, MCP-1 and IP-10. Diffuse exudation of the lungs and consolidation were observed from all patients. The dynamics of virus shedding and PaO2/FiO2 were similar between both groups. Notably, a higher prevalence of neuraminidase inhibitors (NAIs) resistance in the HP-H7N9 virus was found. CONCLUSIONS Our results indicate that this newly emerged HP-H7N9 virus caused similar disease severity in humans compared with LP-H7N9 virus, while higher case fatality rate and prevalence of NAI-resistance in human HP-H7N9 infections were of great concern.
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Affiliation(s)
- Yang Yang
- Shenzhen Key Laboratory of Pathogen and Immunity, Guangdong Key Laboratory for Diagnosis and Treatment of Emerging Infectious Diseases, State Key Discipline of Infectious Disease, Second Hospital Affiliated to Southern University of Science and Technology, Shenzhen Third People's Hospital, Shenzhen 518112, China; CAS Key Laboratory of Pathogenic Microbiology and Immunology, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Disease, Institute of Microbiology, Center for Influenza Research and Early-Warning (CASCIRE), Chinese Academy of Sciences, Beijing 100101, China
| | - Gary Wong
- Institut Pasteur of Shanghai, Chinese Academy of Sciences, Shanghai 200031, China; Département de microbiologie-infectiologie et d'immunologie, Université Laval, Québec City G1V 0A6, Canada
| | - Liuqing Yang
- Shenzhen Key Laboratory of Pathogen and Immunity, Guangdong Key Laboratory for Diagnosis and Treatment of Emerging Infectious Diseases, State Key Discipline of Infectious Disease, Second Hospital Affiliated to Southern University of Science and Technology, Shenzhen Third People's Hospital, Shenzhen 518112, China
| | - Shuguang Tan
- CAS Key Laboratory of Pathogenic Microbiology and Immunology, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Disease, Institute of Microbiology, Center for Influenza Research and Early-Warning (CASCIRE), Chinese Academy of Sciences, Beijing 100101, China
| | - Jianming Li
- Shenzhen Key Laboratory of Pathogen and Immunity, Guangdong Key Laboratory for Diagnosis and Treatment of Emerging Infectious Diseases, State Key Discipline of Infectious Disease, Second Hospital Affiliated to Southern University of Science and Technology, Shenzhen Third People's Hospital, Shenzhen 518112, China
| | - Bing Bai
- Department of Infectious Diseases and Shenzhen Key Lab for Endogenous Infection, Shenzhen Nanshan Hospital of Shenzhen University, Shenzhen 518000, China
| | - Zhixiang Xu
- Shenzhen Key Laboratory of Pathogen and Immunity, Guangdong Key Laboratory for Diagnosis and Treatment of Emerging Infectious Diseases, State Key Discipline of Infectious Disease, Second Hospital Affiliated to Southern University of Science and Technology, Shenzhen Third People's Hospital, Shenzhen 518112, China
| | - Hong Li
- Yunnan Center for Disease Control and Prevention, Kunming 650022, China
| | - Wen Xu
- Yunnan Center for Disease Control and Prevention, Kunming 650022, China
| | - Xiaonan Zhao
- Yunnan Center for Disease Control and Prevention, Kunming 650022, China
| | - Chuansong Quan
- National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention (China CDC), Beijing 102206, China
| | - Haixia Zheng
- Shenzhen Key Laboratory of Pathogen and Immunity, Guangdong Key Laboratory for Diagnosis and Treatment of Emerging Infectious Diseases, State Key Discipline of Infectious Disease, Second Hospital Affiliated to Southern University of Science and Technology, Shenzhen Third People's Hospital, Shenzhen 518112, China
| | - William J Liu
- National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention (China CDC), Beijing 102206, China
| | - Wenjun Liu
- CAS Key Laboratory of Pathogenic Microbiology and Immunology, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Disease, Institute of Microbiology, Center for Influenza Research and Early-Warning (CASCIRE), Chinese Academy of Sciences, Beijing 100101, China
| | - Lei Liu
- Shenzhen Key Laboratory of Pathogen and Immunity, Guangdong Key Laboratory for Diagnosis and Treatment of Emerging Infectious Diseases, State Key Discipline of Infectious Disease, Second Hospital Affiliated to Southern University of Science and Technology, Shenzhen Third People's Hospital, Shenzhen 518112, China
| | - Yingxia Liu
- Shenzhen Key Laboratory of Pathogen and Immunity, Guangdong Key Laboratory for Diagnosis and Treatment of Emerging Infectious Diseases, State Key Discipline of Infectious Disease, Second Hospital Affiliated to Southern University of Science and Technology, Shenzhen Third People's Hospital, Shenzhen 518112, China; University of Chinese Academy of Sciences Medical School, Chinese Academy of Sciences, Beijing 101408, China.
| | - Yuhai Bi
- Shenzhen Key Laboratory of Pathogen and Immunity, Guangdong Key Laboratory for Diagnosis and Treatment of Emerging Infectious Diseases, State Key Discipline of Infectious Disease, Second Hospital Affiliated to Southern University of Science and Technology, Shenzhen Third People's Hospital, Shenzhen 518112, China; CAS Key Laboratory of Pathogenic Microbiology and Immunology, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Disease, Institute of Microbiology, Center for Influenza Research and Early-Warning (CASCIRE), Chinese Academy of Sciences, Beijing 100101, China.
| | - George F Gao
- Shenzhen Key Laboratory of Pathogen and Immunity, Guangdong Key Laboratory for Diagnosis and Treatment of Emerging Infectious Diseases, State Key Discipline of Infectious Disease, Second Hospital Affiliated to Southern University of Science and Technology, Shenzhen Third People's Hospital, Shenzhen 518112, China; CAS Key Laboratory of Pathogenic Microbiology and Immunology, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Disease, Institute of Microbiology, Center for Influenza Research and Early-Warning (CASCIRE), Chinese Academy of Sciences, Beijing 100101, China; National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention (China CDC), Beijing 102206, China; University of Chinese Academy of Sciences Medical School, Chinese Academy of Sciences, Beijing 101408, China.
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20
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Chen M, Quan C, Diao L, Xue F, Xue K, Wang B, Li X, Zhu X, Zheng J, Cao H. Cytokines and chemokines in dermatomyositis. Br J Dermatol 2018. [DOI: 10.1111/bjd.17281] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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21
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Chen M, Quan C, Diao L, Xue F, Xue K, Wang B, Li X, Zhu X, Zheng J, Cao H. 皮肌炎的细胞因子和趋化因子. Br J Dermatol 2018. [DOI: 10.1111/bjd.17296] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/01/2022]
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22
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Li J, Quan C, Xie Y, Ke C, Nie Y, Chen Q, Hu T, Chen J, Wong G, Wang Q, Feng L, Yu H, Liu Y, Liu W, Gao GF, Liu WJ, Shi W, Bi Y. Continued reassortment of avian H6 influenza viruses from Southern China, 2014-2016. Transbound Emerg Dis 2018; 66:592-598. [PMID: 30300968 DOI: 10.1111/tbed.13037] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [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: 08/22/2018] [Revised: 09/22/2018] [Accepted: 09/26/2018] [Indexed: 11/29/2022]
Abstract
H6 subtype avian influenza virus (AIV) was prevalent in poultry and could sporadically infect humans. Here, a total of 196 novel H6 AIVs isolated from poultry in eight provinces of China from 2014 to 2016 were phylogenetically characterized. Our analysis revealed that they could be divided into two clades in the Asian H6 HA lineage, A/wild duck/Shantou/2853/2003(H6N2) (ST2853-like) (85.7%) and A/duck/Shantou/339/2000(H6N2) (ST339-like) (14.3%), in which ST2853-like strains predominate. These novel strains belonged to the H6N6 (n = 165, 84.2%), H6N2 (n = 30, 15.3%), and H6N3 (n = 1, 0.51%) subtypes, which could be classified into 36 genotypes including 12 novel genotypes described in this study. In particular, several strains possessed the V190 and S228 mutations in HA (H3 numbering), which is critical for human receptor binding and identical to the human-derived strain A/Taiwan/2/2013(H6N1). Furthermore, 10.3% of the H6N6 isolates possessed the N6-∆11b (59-69) deletion. In summary, we describe phylogenetic and molecular characterizations of H6 AIVs in southern China and highlight the constant prevalence of H6 AIVs in poultry as well as adaptation to mammalian hosts.
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Affiliation(s)
- Juan Li
- Key Laboratory of Etiology and Epidemiology of Emerging Infectious Diseases in Shandong Universities, Taishan Medical College, Taian, Shandong, China
| | - Chuansong Quan
- CAS Key Laboratory of Pathogenic Microbiology and Immunology, Institute of Microbiology, Center for Influenza Research and Early-warning (CASCIRE), Chinese Academy of Sciences, Beijing, China.,National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Yun Xie
- Jiangxi Provincial Center for Disease Control and Prevention, Nanchang, China
| | - Changwen Ke
- Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, China
| | - Yifei Nie
- Henan Provincial Center for Disease Control and Prevention, Zhengzhou, China
| | - Quanjiao Chen
- CAS Key Laboratory of Special Pathogens and Biosafety, Wuhan Institute of Virology, Chinese Academy of Sciences, Hubei, China
| | - Tao Hu
- Key Laboratory of Etiology and Epidemiology of Emerging Infectious Diseases in Shandong Universities, Taishan Medical College, Taian, Shandong, China
| | - Jianjun Chen
- CAS Key Laboratory of Special Pathogens and Biosafety, Wuhan Institute of Virology, Chinese Academy of Sciences, Hubei, China
| | - Gary Wong
- Shenzhen Key Laboratory of Pathogen and Immunity, State Key Discipline of Infectious Disease, Shenzhen Third People's Hospital, Second Hospital Affiliated to Southern University of Science and Technology, Shenzhen, China.,Département de microbiologie-infectiologie et d'immunologie, Université Laval, Québec, Québec, Canada
| | - Qianli Wang
- National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Luzhao Feng
- Chinese Center for Disease Control and Prevention, Beijing, China
| | - Hongjie Yu
- Chinese Center for Disease Control and Prevention, Beijing, China
| | - Yingxia Liu
- Shenzhen Key Laboratory of Pathogen and Immunity, State Key Discipline of Infectious Disease, Shenzhen Third People's Hospital, Second Hospital Affiliated to Southern University of Science and Technology, Shenzhen, China
| | - Wenjun Liu
- CAS Key Laboratory of Pathogenic Microbiology and Immunology, Institute of Microbiology, Center for Influenza Research and Early-warning (CASCIRE), Chinese Academy of Sciences, Beijing, China
| | - George F Gao
- CAS Key Laboratory of Pathogenic Microbiology and Immunology, Institute of Microbiology, Center for Influenza Research and Early-warning (CASCIRE), Chinese Academy of Sciences, Beijing, China.,National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.,Shenzhen Key Laboratory of Pathogen and Immunity, State Key Discipline of Infectious Disease, Shenzhen Third People's Hospital, Second Hospital Affiliated to Southern University of Science and Technology, Shenzhen, China.,Chinese Center for Disease Control and Prevention, Beijing, China
| | - William J Liu
- National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Weifeng Shi
- Key Laboratory of Etiology and Epidemiology of Emerging Infectious Diseases in Shandong Universities, Taishan Medical College, Taian, Shandong, China
| | - Yuhai Bi
- CAS Key Laboratory of Pathogenic Microbiology and Immunology, Institute of Microbiology, Center for Influenza Research and Early-warning (CASCIRE), Chinese Academy of Sciences, Beijing, China.,Shenzhen Key Laboratory of Pathogen and Immunity, State Key Discipline of Infectious Disease, Shenzhen Third People's Hospital, Second Hospital Affiliated to Southern University of Science and Technology, Shenzhen, China
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23
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Quan C, Li X, Shi RF, Zhao XQ, Xu H, Wang B, Wang XP, Hu WG, Cao H, Zheng J. Recurrent fungal infections in a Chinese patient with CARD9 deficiency and a review of 48 cases. Br J Dermatol 2018; 180:1221-1225. [PMID: 30117151 DOI: 10.1111/bjd.17092] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/03/2018] [Indexed: 11/28/2022]
Abstract
Deficiency of CARD9 (caspase recruitment domain-containing protein 9) has been reported in individuals with recurrent and invasive fungal infections. We report on a patient who first had Trichosporon asahii affecting the skin then Candida albicans infections involving the digestive tract and knee joint, along with elevated serum IgE. After stimulation with C. albicans, peripheral blood mononuclear cells of this patient produced less tumour necrosis factor-α, interferon-γ and interleukin-17 than those of healthy controls. Furthermore, the serum IgE levels of this patient were positively correlated with the severity of fungal infection during the course of treatment. Sanger sequencing identified one homozygous frameshift mutation (p.D274fsX60) in CARD9. We further performed a review including 48 cases with CARD9 deficiency. According to the data published previously, CARD9-deficient patients demonstrated obviously elevated IgE in serum (median 1300 IU mL-1 ), which could distinguish them from otherwise healthy people with fungal infections (area under the curve 0·94, P < 0·001). Patients carrying the mutations Q289X and Q295X had a higher mortality rate (24% vs. 0%, P < 0·05). Patients with the mutations R18W, R35Q, R70W, G72S or Y91H in the CARD domain, and the nonsense mutation Q295X in the coiled-coil domain, seemed to be more prone to Candida infections (90% vs. 20%, P < 0·005) and central nervous system infections (60% vs. 12%, P < 0·005).
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Affiliation(s)
- C Quan
- Laboratory of Dermatoimmunology, Rui Jin Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.,Department of Dermatology, Rui Jin Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - X Li
- Department of Dermatology, Rui Jin Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - R-F Shi
- Department of Dermatology, Rui Jin Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - X-Q Zhao
- Department of Dermatology, Rui Jin Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - H Xu
- Department of Dermatology, Chang Zheng Hospital, Second Military Medical University, Shanghai, China
| | - B Wang
- Laboratory of Dermatoimmunology, Rui Jin Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - X-P Wang
- Laboratory of Dermatoimmunology, Rui Jin Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - W-G Hu
- Laboratory of Dermatoimmunology, Rui Jin Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - H Cao
- Department of Dermatology, Rui Jin Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - J Zheng
- Laboratory of Dermatoimmunology, Rui Jin Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.,Department of Dermatology, Rui Jin Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
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24
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Chen M, Quan C, Diao L, Xue F, Xue K, Wang B, Li X, Zhu X, Zheng J, Cao H. Measurement of cytokines and chemokines and association with clinical severity of dermatomyositis and clinically amyopathic dermatomyositis. Br J Dermatol 2018; 179:1334-1341. [PMID: 30101523 DOI: 10.1111/bjd.17079] [Citation(s) in RCA: 28] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/24/2018] [Indexed: 01/09/2023]
Affiliation(s)
- M. Chen
- Department of Dermatology; Rui Jin Hospital; School of Medicine; Shanghai Jiao Tong University; 200025 Shanghai China
| | - C. Quan
- Department of Dermatology; Rui Jin Hospital; School of Medicine; Shanghai Jiao Tong University; 200025 Shanghai China
| | - L. Diao
- Department of Dermatology; Rui Jin Hospital; School of Medicine; Shanghai Jiao Tong University; 200025 Shanghai China
| | - F. Xue
- Department of Dermatology; Rui Jin Hospital; School of Medicine; Shanghai Jiao Tong University; 200025 Shanghai China
| | - K. Xue
- Department of Dermatology; Rui Jin Hospital; School of Medicine; Shanghai Jiao Tong University; 200025 Shanghai China
| | - B. Wang
- Department of Dermatology; Rui Jin Hospital; School of Medicine; Shanghai Jiao Tong University; 200025 Shanghai China
| | - X. Li
- Department of Dermatology; Rui Jin Hospital; School of Medicine; Shanghai Jiao Tong University; 200025 Shanghai China
| | - X. Zhu
- Department of Respiratory Diseases; Rui Jin Hospital; School of Medicine; Shanghai Jiao Tong University; 200025 Shanghai China
| | - J. Zheng
- Department of Dermatology; Rui Jin Hospital; School of Medicine; Shanghai Jiao Tong University; 200025 Shanghai China
| | - H. Cao
- Department of Dermatology; Rui Jin Hospital; School of Medicine; Shanghai Jiao Tong University; 200025 Shanghai China
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25
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Wang L, ZhangBao J, Zhou L, Zhang Y, Li H, Li Y, Huang Y, Wang M, Lu C, Lu J, Zhao C, Quan C. Encephalitis is an important clinical component of myelin oligodendrocyte glycoprotein antibody associated demyelination: a single‐center cohort study in Shanghai, China. Eur J Neurol 2018; 26:168-174. [DOI: 10.1111/ene.13790] [Citation(s) in RCA: 66] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2018] [Accepted: 08/17/2018] [Indexed: 01/21/2023]
Affiliation(s)
- L. Wang
- Department of Neurology Huashan Hospital Shanghai Medical College Fudan University ShanghaiChina
| | - J. ZhangBao
- Department of Neurology Huashan Hospital Shanghai Medical College Fudan University ShanghaiChina
| | - L. Zhou
- Department of Neurology Huashan Hospital Shanghai Medical College Fudan University ShanghaiChina
| | - Y. Zhang
- Department of Neurology Huashan Hospital Shanghai Medical College Fudan University ShanghaiChina
| | - H. Li
- Department of Radiology Huashan Hospital Shanghai Medical College Fudan University ShanghaiChina
| | - Y. Li
- Department of Radiology Huashan Hospital Shanghai Medical College Fudan University ShanghaiChina
| | - Y. Huang
- Department of Ophthalmology Eye and ENT Hospital Shanghai Medical College Fudan University Shanghai China
| | - M. Wang
- Department of Ophthalmology Eye and ENT Hospital Shanghai Medical College Fudan University Shanghai China
| | - C. Lu
- Department of Neurology Huashan Hospital Shanghai Medical College Fudan University ShanghaiChina
| | - J. Lu
- Department of Neurology Huashan Hospital Shanghai Medical College Fudan University ShanghaiChina
| | - C. Zhao
- Department of Neurology Huashan Hospital Shanghai Medical College Fudan University ShanghaiChina
| | - C. Quan
- Department of Neurology Huashan Hospital Shanghai Medical College Fudan University ShanghaiChina
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26
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Zhao M, Chen J, Tan S, Dong T, Jiang H, Zheng J, Quan C, Liao Q, Zhang H, Wang X, Wang Q, Bi Y, Liu F, Feng L, Horby PW, Klenerman P, Gao GF, Liu WJ, Yu H. Prolonged Evolution of Virus-Specific Memory T Cell Immunity after Severe Avian Influenza A (H7N9) Virus Infection. J Virol 2018; 92:e01024-18. [PMID: 29925664 PMCID: PMC6096810 DOI: 10.1128/jvi.01024-18] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2018] [Accepted: 06/15/2018] [Indexed: 12/19/2022] Open
Abstract
Since 2013, influenza A H7N9 virus has emerged as the most common avian influenza virus subtype causing human infection, and it is associated with a high fatality risk. However, the characteristics of immune memory in patients who have recovered from H7N9 infection are not well understood. We assembled a cohort of 45 H7N9 survivors followed for up to 15 months after infection. Humoral and cellular immune responses were analyzed in sequential samples obtained at 1.5 to 4 months, 6 to 8 months, and 12 to 15 months postinfection. H7N9-specific antibody concentrations declined over time, and protective antibodies persisted longer in severely ill patients admitted to the intensive care unit (ICU) and patients presenting with acute respiratory distress syndrome (ARDS) than in patients with mild disease. Frequencies of virus-specific gamma interferon (IFN-γ)-secreting T cells were lower in critically ill patients requiring ventilation than in patients without ventilation within 4 months after infection. The percentages of H7N9-specific IFN-γ-secreting T cells tended to increase over time in patients ≥60 years or in critically ill patients requiring ventilation. Elevated levels of antigen-specific CD8+ T cells expressing the lung-homing marker CD49a were observed at 6 to 8 months after H7N9 infection compared to those in samples obtained at 1.5 to 4 months. Our findings indicate the prolonged reconstruction and evolution of virus-specific T cell immunity in older or critically ill patients and have implications for T cell-directed immunization strategies.IMPORTANCE Avian influenza A H7N9 virus remains a major threat to public health. However, no previous studies have determined the characteristics and dynamics of virus-specific T cell immune memory in patients who have recovered from H7N9 infection. Our findings showed that establishment of H7N9-specific T cell memory after H7N9 infection was prolonged in older and severely affected patients. Severely ill patients mounted lower T cell responses in the first 4 months after infection, while T cell responses tended to increase over time in older and severely ill patients. Higher levels of antigen-specific CD8+ T cells expressing the lung-homing marker CD49a were detected at 6 to 8 months after infection. Our results indicated a long-term impact of H7N9 infection on virus-specific memory T cells. These findings advance our understanding of the dynamics of virus-specific memory T cell immunity after H7N9 infection, which is relevant to the development of T cell-based universal influenza vaccines.
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Affiliation(s)
- Min Zhao
- Beijing Institutes of Life Science, Chinese Academy of Sciences, Beijing, China
- CAS Key Laboratory of Pathogenic Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China
| | - Junbo Chen
- School of Public Health, Fudan University, Key Laboratory of Public Health Safety, Ministry of Education, Shanghai, China
| | - Shuguang Tan
- Beijing Institutes of Life Science, Chinese Academy of Sciences, Beijing, China
| | - Tao Dong
- Medical Research Council Human Immunology Unit, Radcliffe Department of Medicine, University of Oxford, Oxford, United Kingdom
| | - Hui Jiang
- Division of Infectious Disease, Key Laboratory of Surveillance and Early-Warning on Infectious Disease, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Jiandong Zheng
- Division of Infectious Disease, Key Laboratory of Surveillance and Early-Warning on Infectious Disease, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Chuansong Quan
- NHC Key Laboratory of Medical Virology and Viral Diseases, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Qiaohong Liao
- Division of Infectious Disease, Key Laboratory of Surveillance and Early-Warning on Infectious Disease, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Hangjie Zhang
- NHC Key Laboratory of Medical Virology and Viral Diseases, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Xiling Wang
- School of Public Health, Fudan University, Key Laboratory of Public Health Safety, Ministry of Education, Shanghai, China
| | - Qianli Wang
- School of Public Health, Fudan University, Key Laboratory of Public Health Safety, Ministry of Education, Shanghai, China
| | - Yuhai Bi
- Beijing Institutes of Life Science, Chinese Academy of Sciences, Beijing, China
| | - Fengfeng Liu
- Division of Infectious Disease, Key Laboratory of Surveillance and Early-Warning on Infectious Disease, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Luzhao Feng
- Division of Infectious Disease, Key Laboratory of Surveillance and Early-Warning on Infectious Disease, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Peter W Horby
- Centre for Tropical Medicine and Global Health, Nuffield Department of Medicine, University of Oxford, Oxford, United Kingdom
| | - Paul Klenerman
- Peter Medawar Building for Pathogen Research, University of Oxford, Oxford, United Kingdom
| | - George F Gao
- Beijing Institutes of Life Science, Chinese Academy of Sciences, Beijing, China
- CAS Key Laboratory of Pathogenic Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China
- NHC Key Laboratory of Medical Virology and Viral Diseases, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - William J Liu
- NHC Key Laboratory of Medical Virology and Viral Diseases, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Hongjie Yu
- School of Public Health, Fudan University, Key Laboratory of Public Health Safety, Ministry of Education, Shanghai, China
- Division of Infectious Disease, Key Laboratory of Surveillance and Early-Warning on Infectious Disease, Chinese Center for Disease Control and Prevention, Beijing, China
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27
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Xiong Y, He A, Quan C. Hybrid attack on an optical cryptosystem based on phase-truncated Fourier transforms and a random amplitude mask. Appl Opt 2018; 57:6010-6016. [PMID: 30118027 DOI: 10.1364/ao.57.006010] [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: 05/17/2018] [Accepted: 06/18/2018] [Indexed: 06/08/2023]
Abstract
In this paper, the security of a cryptosystem based on phase-truncated Fourier transforms (PTFTs) and a random amplitude mask (RAM) is evaluated. In the cryptosystem, fake keys used as encryption keys in the second PTFT-based structure are generated by the first PTFT-based structure in which the RAM is encoded by random phase masks (RPMs) used as public keys. Compared to the classical PTFT-based encryption scheme, the security level of the cryptosystem is improved by using cascaded PTFTs to encode the encryption keys and the plaintext simultaneously. However, it is found that a known plaintext-ciphertext pair can provide enough constraints in the iterative process to retrieve the fake keys, which then can be used to retrieve unknown arbitrary plaintext from the corresponding ciphertext. Based on the analysis, we propose a specific attack based on hybrid iterative processes to break the cryptosystem. Two iterative processes with different constraints are involved in the proposed attack. The first known-plaintext-attack (KPA)-based iterative process is used to retrieve two fake keys with the help of two public keys and a known plaintext-ciphertext pair, while the second amplitude-phase retrieval algorithm-based iterative process with a median filter is employed to retrieve the plaintext from the corresponding ciphertext using two retrieval fake keys. To the best of our knowledge, it is the first time that the cryptosystem is attacked by the KPA-based iterative algorithm successfully. Numerical simulation results validate the feasibility and effectiveness of the proposed attack.
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28
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Quan C, Huang T, Chen X, Zhang J, Wang Q, Zhang C, Zhang T, Zhou L, Shu L, Long C, Yang L, Du X, Zhao Y, Liu P, Song H, Shi W, Bi Y, Lv Q, Liu WJ, Gao GF. Genomic characterizations of H4 subtype avian influenza viruses from live poultry markets in Sichuan province of China, 2014-2015. Sci China Life Sci 2018; 61:1123-1126. [PMID: 29995198 DOI: 10.1007/s11427-018-9327-4] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/09/2018] [Accepted: 05/31/2018] [Indexed: 12/13/2022]
Affiliation(s)
- Chuansong Quan
- National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, 102206, China
| | - Ting Huang
- Sichuan Center for Disease Control and Prevention, Chengdu, 610041, China
| | - Xiuwei Chen
- Sichuan Center for Disease Control and Prevention, Chengdu, 610041, China
| | - Jie Zhang
- National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, 102206, China
| | - Qianli Wang
- School of Public Health, Fudan University, Key Laboratory of Public Health Safety, Ministry of Education, Shanghai, 200032, China
| | - Cheng Zhang
- CAS Key Laboratory of Pathogenic Microbiology and Immunology, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Disease, Institute of Microbiology, Center for Influenza Research and Early-warning (CASCIRE), Chinese Academy of Sciences, Beijing, 100101, China
| | - Tiyan Zhang
- Longquanyi Center for Disease Control and Prevention, Chengdu, 610000, China
| | - Lijun Zhou
- Sichuan Center for Disease Control and Prevention, Chengdu, 610041, China
| | - Liumei Shu
- National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, 102206, China
| | - Chunrong Long
- Longquanyi Center for Disease Control and Prevention, Chengdu, 610000, China
| | - Lei Yang
- Chengdu Center for Disease Control and Prevention, Chengdu, 610041, China
| | - Xunbo Du
- Chengdu Center for Disease Control and Prevention, Chengdu, 610041, China
| | - Yingze Zhao
- National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, 102206, China
| | - Peipei Liu
- National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, 102206, China
| | - Hao Song
- Research Network of Immunity and Health (RNIH), Beijing Institutes of Life Science, Chinese Academy of Sciences, Beijing, 100101, China
| | - Weifeng Shi
- Key Laboratory of Etiology and Epidemiology of Emerging Infectious Diseases in Universities of Shandong, Taishan Medical College, Taian, 271000, China
| | - Yuhai Bi
- CAS Key Laboratory of Pathogenic Microbiology and Immunology, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Disease, Institute of Microbiology, Center for Influenza Research and Early-warning (CASCIRE), Chinese Academy of Sciences, Beijing, 100101, China
| | - Qiang Lv
- Sichuan Center for Disease Control and Prevention, Chengdu, 610041, China
| | - William J Liu
- National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, 102206, China.
| | - George F Gao
- National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, 102206, China. .,CAS Key Laboratory of Pathogenic Microbiology and Immunology, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Disease, Institute of Microbiology, Center for Influenza Research and Early-warning (CASCIRE), Chinese Academy of Sciences, Beijing, 100101, China. .,Research Network of Immunity and Health (RNIH), Beijing Institutes of Life Science, Chinese Academy of Sciences, Beijing, 100101, China.
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Xing Y, Quan C. Reference-plane-based fast pixel-by-pixel absolute phase retrieval for height measurement. Appl Opt 2018; 57:4901-4908. [PMID: 30118108 DOI: 10.1364/ao.57.004901] [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: 02/27/2018] [Accepted: 05/14/2018] [Indexed: 06/08/2023]
Abstract
Absolute phase retrieval is essential for height measurement in digital fringe projection. However, projections of additional structured patterns that are normally required for phase unwrapping increase the measurement complexity. In this paper, we propose two reference-plane-based pixel-by-pixel absolute phase retrieval techniques with as few projections as possible, suitable for different object depth ranges. The wrapped phase on the object is absolutely unwrapped by referring just to the absolute phase map on the reference plane. Single-frequency absolute phase retrieval with one-reference-plane-based calibration is first proposed for objects within a height limit that equals a calibrated system constant. To extend the measurement depth range, dual-frequency absolute phase retrieval with two parallel reference planes is further proposed. The additional low frequency is used to choose the unwrapping reference from the two reference plane phases for unwrapping the high-frequency phase. Moreover, the proposed techniques are capable of high-frequency absolute phase unwrapping for objects with step-height surface discontinuities. Experiments have been conducted to demonstrate the efficiency of the proposed two techniques.
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Si J, Yang B, Guo R, Huang N, Quan C, Chen J, Wu J. Abstract P3-01-06: Can axillary evaluation be omitted in patients preoperatively diagnosed with ductal carcinoma in situ by core needle biopsy? Cancer Res 2018. [DOI: 10.1158/1538-7445.sabcs17-p3-01-06] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
Background
Patients diagnosed with ductal carcinoma in situ (DCIS) by core needle biopsy (CNB) have a great chance of upgrading invasive cancer on the final pathology. Positive axillary lymph nodes can be found in these patients. The present study sought to identify clinicopathological factors associated with upgrading and axillary lymph nodes metastasis in patients preoperatively diagnosed with DCIS by CNB.
Materials and Methods
This study identified 604 patients (cT1-3N0M0) with preoperative diagnosis of pure DCIS by CNB who had undergone axillary evaluation from August 2006 to December 2015 at Fudan University Shanghai Cancer Center (FUSCC). Predictors of upgrading and axillary lymph nodes metastasis were analyzed, respectively.
Results
Of all 604 patients, 513 (84.93%) and 91 (15.07%) patients had undergone sentinel lymph nodes biopsy (SLNB) and axillary lymph nodes dissection (ALND), respectively. Overall, 121 (20.03%) and 193 (31.95%) patients were upgraded to DCIS with microinvasion (DCISM) and IDC on final pathology, respectively. Positive axillary lymph nodes were identified in 41 (6.79%) patients, of which 35 (5.80%) patients had 1-2 positive axillary lymph nodes, 6 (0.99%) patients had 3 or more positive axillary lymph nodes. Among patients with axillary lymph nodes metastasis, 4 (9.76%), 4 (9.76%) and 33 (80.48%) patients were in DCIS, DCISM and IDC group, respectively. Predictors of upgrading included tumor size on ultrasonography (P=0.001), Ki-67 (P=0.046) and molecular subtype (P=0.007) in univariate analysis. In multivariate analysis, patients with larger tumor size on ultrasonography (>2cm) (OR 1.767, P=0.001) were more likely to be upgraded on final pathology. Also, ER+ HER2+ patients were more likely to be upgraded than ER+ HER2- patients (OR 1.659, P=0.047). Factors associated with axillary lymph nodes metastasis included nipple discharge (P<0.001), tumor size on pathology (P=0.037), number of lesions (P=0.039), axillary evaluation methods (P=0.029) and molecular subtype (P=0.049) in univariate analysis. Whereas, only nipple discharge and larger tumor size on pathology (>2cm) reached statistical significance in multivariate analysis (OR 5.959, P<0.001; OR 2.361, P=0.042). In addition, further analysis showed upgrading on final pathology had a significant influence on axillary lymph nodes status (P<0.001). However, this correlation was not shown between patients with DCIS and DCISM in pairwise comparison.
Conclusion
The data of upgrading and axillary lymph nodes metastasis in patients with an initial diagnosis of DCIS by CNB was comparable in this cohort with published data. Despite of a 51.98% upgrading rate, the rate of axillary lymph nodes metastasis in these patients is low, which supports the omission of axillary evaluation in selected patients.
Citation Format: Si J, Yang B, Guo R, Huang N, Quan C, Chen J, Wu J. Can axillary evaluation be omitted in patients preoperatively diagnosed with ductal carcinoma in situ by core needle biopsy? [abstract]. In: Proceedings of the 2017 San Antonio Breast Cancer Symposium; 2017 Dec 5-9; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2018;78(4 Suppl):Abstract nr P3-01-06.
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Affiliation(s)
- J Si
- Fudan University Shanghai Cancer Center, Shanghai, China; Fudan University, Shanghai Medical College; Collaborative Innovation Center for Cancer Medicine
| | - B Yang
- Fudan University Shanghai Cancer Center, Shanghai, China; Fudan University, Shanghai Medical College; Collaborative Innovation Center for Cancer Medicine
| | - R Guo
- Fudan University Shanghai Cancer Center, Shanghai, China; Fudan University, Shanghai Medical College; Collaborative Innovation Center for Cancer Medicine
| | - N Huang
- Fudan University Shanghai Cancer Center, Shanghai, China; Fudan University, Shanghai Medical College; Collaborative Innovation Center for Cancer Medicine
| | - C Quan
- Fudan University Shanghai Cancer Center, Shanghai, China; Fudan University, Shanghai Medical College; Collaborative Innovation Center for Cancer Medicine
| | - J Chen
- Fudan University Shanghai Cancer Center, Shanghai, China; Fudan University, Shanghai Medical College; Collaborative Innovation Center for Cancer Medicine
| | - J Wu
- Fudan University Shanghai Cancer Center, Shanghai, China; Fudan University, Shanghai Medical College; Collaborative Innovation Center for Cancer Medicine
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Xiong Y, He A, Quan C. Security analysis of a double-image encryption technique based on an asymmetric algorithm. J Opt Soc Am A Opt Image Sci Vis 2018; 35:320-326. [PMID: 29400881 DOI: 10.1364/josaa.35.000320] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/27/2017] [Accepted: 12/26/2017] [Indexed: 06/07/2023]
Abstract
In this paper, we evaluate the security of a double-image encryption technique based on an asymmetric algorithm. Compared with traditional cryptosystems based on a phase-truncated Fourier transform, the technique is able to improve the security of the encryption by combining a joint transform correlator; consequently, the encryption scheme is immune to some common attacks. We propose a special attack based on a phase retrieval algorithm with median filtering and normalization operation to break the cryptosystem. Low key sensitivity of a position parameter set has been found and an additional constraint is utilized to improve the attack to simplify the process and further decrease the computational time. Numerical simulation results show that the cryptosystem is vulnerable to the proposed special attack.
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He A, Deepan B, Quan C. Simplified paraboloid phase model-based phase tracker for demodulation of a single complex fringe. Appl Opt 2017; 56:7217-7224. [PMID: 29047983 DOI: 10.1364/ao.56.007217] [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: 05/15/2017] [Accepted: 08/07/2017] [Indexed: 06/07/2023]
Abstract
A regularized phase tracker (RPT) is an effective method for demodulation of single closed-fringe patterns. However, lengthy calculation time, specially designed scanning strategy, and sign-ambiguity problems caused by noise and saddle points reduce its effectiveness, especially for demodulating large and complex fringe patterns. In this paper, a simplified paraboloid phase model-based regularized phase tracker (SPRPT) is proposed. In SPRPT, first and second phase derivatives are pre-determined by the density-direction-combined method and discrete higher-order demodulation algorithm, respectively. Hence, cost function is effectively simplified to reduce the computation time significantly. Moreover, pre-determined phase derivatives improve the robustness of the demodulation of closed, complex fringe patterns. Thus, no specifically designed scanning strategy is needed; nevertheless, it is robust against the sign-ambiguity problem. The paraboloid phase model also assures better accuracy and robustness against noise. Both the simulated and experimental fringe patterns (obtained using electronic speckle pattern interferometry) are used to validate the proposed method, and a comparison of the proposed method with existing RPT methods is carried out. The simulation results show that the proposed method has achieved the highest accuracy with less computational time. The experimental result proves the robustness and the accuracy of the proposed method for demodulation of noisy fringe patterns and its feasibility for static and dynamic applications.
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Leksa N, Chiu PL, Bou-Assaf G, Quan C, Liu Z, Goodman A, Chambers M, Tsutakawa S, Hammel M, Peters R, Walz T, Kulman J. The structural basis for the functional comparability of factor VIII and the long-acting variant recombinant factor VIII Fc fusion protein. J Thromb Haemost 2017; 15:1167-1179. [PMID: 28397397 PMCID: PMC5500164 DOI: 10.1111/jth.13700] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2017] [Indexed: 01/13/2023]
Abstract
Essentials Recombinant factor VIII (rFVIII) Fc fusion protein has a 1.5-fold longer half-life than rFVIII. Five orthogonal methods were used to characterize the structure of rFVIIIFc compared to rFVIII. The C-terminal Fc fusion does not perturb the structure of FVIII in rFVIIIFc. The FVIII and Fc components of rFVIIIFc are flexibly tethered and functionally independent. SUMMARY Background Fusion of the human IgG1 Fc domain to the C-terminal C2 domain of B-domain-deleted (BDD) factor VIII (FVIII) results in the recombinant FVIII Fc (rFVIIIFc) fusion protein, which has a 1.5-fold longer half-life in humans. Objective To assess the structural properties of rFVIIIFc by comparing its constituent FVIII and Fc elements with their respective isolated components, and evaluating their structural independence within rFVIIIFc. Methods rFVIIIFc and its isolated FVIII and Fc components were compared by the use of hydrogen-deuterium exchange mass spectrometry (HDX-MS). The structure of rFVIIIFc was also evaluated by the use of X-ray crystallography, small-angle X-ray scattering (SAXS), and electron microscopy (EM). The degree of steric interference by the appended Fc domain was assessed by EM and surface plasmon resonance (SPR). Results HDX-MS analysis of rFVIIIFc revealed that fusion caused no structural perturbations in FVIII or Fc. The rFVIIIFc crystal structure showed that the FVIII component is indistinguishable from published BDD FVIII structures. The Fc domain was not observed, indicating high mobility. SAXS analysis was consistent with an ensemble of rigid-body models in which the Fc domain exists in a largely extended orientation relative to FVIII. Binding of Fab fragments of anti-C2 domain antibodies to BDD FVIII was visualized by EM, and the affinities of the corresponding intact antibodies for BDD FVIII and rFVIIIFc were comparable by SPR analysis. Conclusions The FVIII and Fc components of rFVIIIFc are structurally indistinguishable from their isolated constituents, and show a high degree of structural independence, consistent with the functional comparability of rFVIIIFc and unmodified FVIII.
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Affiliation(s)
| | - P.-L. Chiu
- Department of Cell Biology, Harvard Medical School, Boston, MA, USA
| | | | | | - Z. Liu
- Biogen, Cambridge, MA, USA
| | | | - M.G. Chambers
- Department of Cell Biology, Harvard Medical School, Boston, MA, USA
| | - S.E. Tsutakawa
- Molecular Biophysics & Integrated Bioimaging, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
| | - M. Hammel
- Molecular Biophysics & Integrated Bioimaging, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
| | | | - T. Walz
- Biogen, Cambridge, MA, USA
- Laboratory of Molecular Electron Microscopy, Rockefeller University, New York, NY, USA
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Chen W, Duan P, Tang S, Huang WT, Quan C, Qi SQ, Yang KD. [Effects of bisphenol A on the expression of N-cadherin, Vimentin and FSHR in rat Sertoli cells]. Zhonghua Lao Dong Wei Sheng Zhi Ye Bing Za Zhi 2017; 35:101-105. [PMID: 28355696 DOI: 10.3760/cma.j.issn.1001-9391.2017.02.005] [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: 11/05/2022]
Abstract
Objective: To explore the effects of BPA on the expression of N-cadherin, Vimentin and FSHR in rat Sertoli cells. Methods: Primary Sertoli cells collected from prepuberty rats (18-21 d) were cultured for 48 h, and then they were treated with 0, 30, 50, 70 μmol/L BPA respectively for 24 h. The methods of MTT, real-time quantitative PCR and Western blotting were utilized to measure the cell ability of Sertoli cells, the mRNA and protein expression levels of N-cadherin, Vimentin and FSHR respectively. Results: Compared with control, the cell abilities of Sertoli cells in 50 μmol/L BPA group and 70 μmol/L BPA group increased significantly (P<0.05) . The cell abilities of Sertoli cells decreased with the increases of exposure doses of BPA. Compared with control, the expression of N-cadherin mRNA only increased in 30 μmol/L BPA group (P<0.05) , the expression of Vimentin mRNA decreased significantly in all doses group of BPA (P<0.05) , the expression of FSHR mRNA increased in all doses group of BPA (P<0.05) . Compared with the control, the protein levels of N-cadherin increased significantly in 50 μmol/L BPA group (P<0.05) , the protein levels of Vimentin decreased significantly in all doses group of BPA (P<0.05) , the protein levels of FSHR decreased significantly in 50 μmol/L BPA group and 70 μmol/L BPA group (P<0.05) . Conclusion: The mechanism of testicular toxicity from BPA might be the alterations of N-cadherin, Vimentin and FSHR by disturbing normal spermatogenesis.
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Affiliation(s)
- W Chen
- MOE Key Laboratory of Environment and Health, Department of Occupational and Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
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Quan C, Huang N, Yang B, Zhang Y, Huang X, Chen J, Wu J. Abstract P3-14-06: A single-center report of 125 cases of incidental internal mammary lymph node biopsy in free abdominal flap breast reconstruction. Cancer Res 2017. [DOI: 10.1158/1538-7445.sabcs16-p3-14-06] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
Objective
The aim of the current study is to determine the clinical value of incidental internal mammary lymph node biopsy in free abdominal flap breast reconstruction using internal mammary as recipient vessels and to investigate the risk factors of internal mammary lymph nodes metastasis.
Methods
The clinical data of all free abdominal flap breast reconstructions using internal mammary as recipient vessels performed from November 2006 to April 2016 in Department of Breast Surgery, Fudan University Shanghai Cancer Center were included into the study. The incidence of internal mammary lymph node biopsy and the rate of metastasis were described. The differences between groups were compared using χ2 test. Univariate and multivariate Logistic regression analysis was conducted to evaluate risk factors of internal mammary lymph node metastasis.
Results
A total of 125 patients met the inclusion criteria, 89 (71.2%) of whom adopted unilateral immediate breast reconstructions. 64.8% of them were diagnosed with primary invasive breast cancer, while 27.2% were carcinoma in situ. According to AJCC TNM staging system, the percentages of patients with stage 0, I, II, III were 27.2%, 26.4%, 27.2% and 8.0%.
62 (49.6%) patients had internal mammary lymph nodes harvested. 6.4% (4/62) of those who adopted internal mammary lymph nodes biopsies were diagnosed with internal mammary lymph nodes metastasis, all in immediate breast reconstructions. 72 (57.6%) patients cut off costicartilage (the second or third costicartilage) during the exposure of internal mammary vessels. The excision of costicartilage is not associated with the harvest rate of internal mammary lymph node (P>0.05). All of the 4 patients upstaged their TMN stage of tumor after internal mammary lymph node metastasis and adopted adjuvant chemotherapy and radiotherapy. Up to May 2016, no recurrence or distant metastasis was reported.
In Logistic regression analysis, larger invasive tumor size and axillary lymph node metastasis were found to have correlations with internal mammary lymph node metastasis (larger invasive tumor size: P=0.029; axillary lymph node metastasis: P=0.004), while tumor location or immunohistochemical subtype had no correlations. In addition, axillary lymph node metastasis was proved to be a independent risk factor of internal mammary lymph node metastasis (P=0.036) while tumor size was not.
Conclusions
Internal mammary lymph nodes found incidentally during internal mammary recipient vessel exposure for free flap breast reconstruction could provide surgeons with important information for further treatment. This approach for internal mammary lymph node biopsy revealed an appreciable success rate and should be promoted in clinical practice. The size of invasive tumor and the axillary lymph node metastasis were associated with internal mammary lymph node metastasis.Objective
The aim of the current study is to determine the clinical value of incidental internal mammary lymph node biopsy in free abdominal flap breast reconstruction using internal mammary as recipient vessels and to investigate the risk factors of internal mammary lymph nodes metastasis.
Methods
The clinical data of all free abdominal flap breast reconstructions using internal mammary as recipient vessels performed from November 2006 to April 2016 in Department of Breast Surgery, Fudan University Shanghai Cancer Center were included into the study. The incidence of internal mammary lymph node biopsy and the rate of metastasis were described. The differences between groups were compared using χ2 test. Univariate and multivariate Logistic regression analysis was conducted to evaluate risk factors of internal mammary lymph node metastasis.
Results
A total of 125 patients met the inclusion criteria, 89 (71.2%) of whom adopted unilateral immediate breast reconstructions. 64.8% of them were diagnosed with primary invasive breast cancer, while 27.2% were carcinoma in situ. According to AJCC TNM staging system, the percentages of patients with stage 0, I, II, III were 27.2%, 26.4%, 27.2% and 8.0%.
62 (49.6%) patients had internal mammary lymph nodes harvested. 6.4% (4/62) of those who adopted internal mammary lymph nodes biopsies were diagnosed with internal mammary lymph nodes metastasis, all in immediate breast reconstructions. 72 (57.6%) patients cut off costicartilage (the second or third costicartilage) during the exposure of internal mammary vessels. The excision of costicartilage is not associated with the harvest rate of internal mammary lymph node (P>0.05). All of the 4 patients upstaged their TMN stage of tumor after internal mammary lymph node metastasis and adopted adjuvant chemotherapy and radiotherapy. Up to May 2016, no recurrence or distant metastasis was reported.
In Logistic regression analysis, larger invasive tumor size and axillary lymph node metastasis were found to have correlations with internal mammary lymph node metastasis (larger invasive tumor size: P=0.029; axillary lymph node metastasis: P=0.004), while tumor location or immunohistochemical subtype had no correlations. In addition, axillary lymph node metastasis was proved to be a independent risk factor of internal mammary lymph node metastasis (P=0.036) while tumor size was not.
Conclusions
Internal mammary lymph nodes found incidentally during internal mammary recipient vessel exposure for free flap breast reconstruction could provide surgeons with important information for further treatment. This approach for internal mammary lymph node biopsy revealed an appreciable success rate and should be promoted in clinical practice. The size of invasive tumor and the axillary lymph node metastasis were associated with internal mammary lymph node metastasis.
Citation Format: Quan C, Huang N, Yang B, Zhang Y, Huang X, Chen J, Wu J. A single-center report of 125 cases of incidental internal mammary lymph node biopsy in free abdominal flap breast reconstruction [abstract]. In: Proceedings of the 2016 San Antonio Breast Cancer Symposium; 2016 Dec 6-10; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2017;77(4 Suppl):Abstract nr P3-14-06.
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Affiliation(s)
- C Quan
- Fudan University Shanghai Cancer Center, Shanghai, China; Shanghai Shanghai Medical College, Shanghai, China
| | - N Huang
- Fudan University Shanghai Cancer Center, Shanghai, China; Shanghai Shanghai Medical College, Shanghai, China
| | - B Yang
- Fudan University Shanghai Cancer Center, Shanghai, China; Shanghai Shanghai Medical College, Shanghai, China
| | - Y Zhang
- Fudan University Shanghai Cancer Center, Shanghai, China; Shanghai Shanghai Medical College, Shanghai, China
| | - X Huang
- Fudan University Shanghai Cancer Center, Shanghai, China; Shanghai Shanghai Medical College, Shanghai, China
| | - J Chen
- Fudan University Shanghai Cancer Center, Shanghai, China; Shanghai Shanghai Medical College, Shanghai, China
| | - J Wu
- Fudan University Shanghai Cancer Center, Shanghai, China; Shanghai Shanghai Medical College, Shanghai, China
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Kang H, Li X, Zhou Q, Quan C, Xue F, Zheng J, Yu Y. Exploration of candidate biomarkers for human psoriasis based on gas chromatography-mass spectrometry serum metabolomics. Br J Dermatol 2016; 176:713-722. [PMID: 27564527 DOI: 10.1111/bjd.15008] [Citation(s) in RCA: 69] [Impact Index Per Article: 8.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/20/2016] [Indexed: 01/03/2023]
Affiliation(s)
- H. Kang
- School of Pharmacy; Fudan University; Shanghai 201203 China
| | - X. Li
- Department of Dermatology; Ruijin Hospital; School of Medicine; Shanghai Jiaotong University; Shanghai 200025 China
| | - Q. Zhou
- School of Pharmacy; Fudan University; Shanghai 201203 China
| | - C. Quan
- Department of Dermatology; Ruijin Hospital; School of Medicine; Shanghai Jiaotong University; Shanghai 200025 China
| | - F. Xue
- Department of Dermatology; Ruijin Hospital; School of Medicine; Shanghai Jiaotong University; Shanghai 200025 China
| | - J. Zheng
- Department of Dermatology; Ruijin Hospital; School of Medicine; Shanghai Jiaotong University; Shanghai 200025 China
| | - Y. Yu
- School of Pharmacy; Fudan University; Shanghai 201203 China
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Xing Y, Quan C, Tay CJ. Multi-subzone algorithm for absolute phase retrieval in digital fringe projection profilometry. Appl Opt 2016; 55:9774-9781. [PMID: 27958470 DOI: 10.1364/ao.55.009774] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/06/2023]
Abstract
Codewords are important in encoded absolute phase retrieval techniques such as two-frequency, gray-code, and phase-coding. Each sinusoidal fringe is marked by a unique codeword so that an absolute fringe order can be determined by decoding the codeword. However, due to the limited number of unique codewords, sinusoidal fringe patterns do not contain high-frequency fringes without the use of additional patterns. A multi-subzone coding and decoding algorithm is thus proposed to overcome this limitation. Three multi-subzone coding methods based on two-frequency, gray-code, and phase-coding techniques are presented. The coding creates multiple subzones of unique codewords and the decoding enables it to use non-unique codewords to identify absolute fringe order. Specifically, the range of fringe order is estimated by the use of a wrapped phase map and the absolute fringe order is identified by a codeword. Experimental studies demonstrate the advantages of the proposed algorithm over existing coding methods. The proposed algorithm is suitable to measure objects with large step-height surface discontinuities.
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Liu WJ, Tan S, Zhao M, Quan C, Bi Y, Wu Y, Zhang S, Zhang H, Xiao H, Qi J, Yan J, Liu W, Yu H, Shu Y, Wu G, Gao GF. Cross-immunity Against Avian Influenza A(H7N9) Virus in the Healthy Population Is Affected by Antigenicity-Dependent Substitutions. J Infect Dis 2016; 214:1937-1946. [PMID: 27738054 DOI: 10.1093/infdis/jiw471] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.5] [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: 07/22/2016] [Accepted: 09/29/2016] [Indexed: 01/09/2023] Open
Abstract
BACKGROUND The emergence of infections by the novel avian influenza A(H7N9) virus has posed a threat to human health. Cross-immunity between A(H7N9) and other heterosubtypic influenza viruses affected by antigenicity-dependent substitutions needs to be investigated. METHODS We investigated the cellular and humoral immune responses against A(H7N9) and 2009 pandemic influenza A(H1N1) virus (A[H1N1]pdm09), by serological and T-cell-specific assays, in a healthy population. The molecular bases of the cellular and humoral antigenic variability of A(H7N9) were illuminated by structural determination. RESULTS We not only found that antibodies against A(H7N9) were lacking in the studied population, but also revealed that both CD4+ and CD8+ T cells that cross-reacted with A(H7N9) were at significantly lower levels than those against the A(H1N1)pdm09 peptides with substitutions. Moreover, individual peptides for A(H7N9) with low cross-reactivity were identified. Structural determination indicated that substitutions within these peptides influence the antigenic variability of A(H7N9) through both major histocompatibility complex (MHC) binding and T-cell receptor docking. CONCLUSIONS The impact of antigenicity-dependent substitutions on cross-reactivity of T-cell immunity against the novel influenza virus A(H7N9) in the healthy population benefits the understanding of immune evasion of influenza viruses and provides a useful reference for universal vaccine development.
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Affiliation(s)
- William J Liu
- Key Laboratory of Medical Virology, Ministry of Health, National Institute for Viral Disease Control and Prevention.,College of Laboratory Medicine and Life Sciences, Wenzhou Medical University, Wenzhou
| | - Shuguang Tan
- CAS Key Laboratory of Pathogenic Microbiology and Immunology, Institute of Microbiology.,University of Chinese Academy of Sciences, Beijing
| | - Min Zhao
- CAS Key Laboratory of Pathogenic Microbiology and Immunology, Institute of Microbiology.,University of Chinese Academy of Sciences, Beijing
| | - Chuansong Quan
- Key Laboratory of Medical Virology, Ministry of Health, National Institute for Viral Disease Control and Prevention
| | - Yuhai Bi
- CAS Key Laboratory of Pathogenic Microbiology and Immunology, Institute of Microbiology
| | - Ying Wu
- CAS Key Laboratory of Pathogenic Microbiology and Immunology, Institute of Microbiology
| | - Shuijun Zhang
- CAS Key Laboratory of Pathogenic Microbiology and Immunology, Institute of Microbiology
| | - Haifeng Zhang
- College of Laboratory Medicine and Life Sciences, Wenzhou Medical University, Wenzhou
| | - Haixia Xiao
- Laboratory of Protein Engineering and Vaccine, Tianjin Institute of Industrial Biotechnology, Chinese Academy of Sciences, Tianjin, China
| | - Jianxun Qi
- CAS Key Laboratory of Pathogenic Microbiology and Immunology, Institute of Microbiology
| | - Jinghua Yan
- CAS Key Laboratory of Pathogenic Microbiology and Immunology, Institute of Microbiology
| | - Wenjun Liu
- CAS Key Laboratory of Pathogenic Microbiology and Immunology, Institute of Microbiology
| | - Hongjie Yu
- Division of Infectious Disease, Key Laboratory of Surveillance and Early Warning on Infectious Disease, Chinese Center for Disease Control and Prevention
| | - Yuelong Shu
- Key Laboratory of Medical Virology, Ministry of Health, National Institute for Viral Disease Control and Prevention
| | - Guizhen Wu
- Key Laboratory of Medical Virology, Ministry of Health, National Institute for Viral Disease Control and Prevention
| | - George F Gao
- Key Laboratory of Medical Virology, Ministry of Health, National Institute for Viral Disease Control and Prevention.,CAS Key Laboratory of Pathogenic Microbiology and Immunology, Institute of Microbiology.,Research Network of Immunity and Health, Beijing Institutes of Life Science, Chinese Academy of Sciences.,University of Chinese Academy of Sciences, Beijing.,College of Laboratory Medicine and Life Sciences, Wenzhou Medical University, Wenzhou
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39
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Deepan B, Quan C, Tay CJ. Quantitative vibration analysis using a single fringe pattern in time-average speckle interferometry. Appl Opt 2016; 55:5876-5883. [PMID: 27505366 DOI: 10.1364/ao.55.005876] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/06/2023]
Abstract
In this paper, a novel technique for quantitative vibration analysis using time-average electronic speckle pattern interferometry is proposed. An amplitude-varied time-average refreshing reference frame method is used to capture a fringe pattern with a better fringe contrast than the conventional reference frame technique. The recorded fringe patterns with improved contrast provide better mode shape visibility and are easier to process. A derivative-based regularized phase tracker model is used to retrieve vibration amplitudes from a single fringe pattern. The method does not require a phase shifter to obtain the mode shape or amplitude. The method provides unwrapped amplitude and amplitude derivatives maps directly, so a separate phase unwrapping process is not required. Experimental work is carried out using a circular aluminum plate test specimen and the results are compared with a finite element method modal analysis. Both experimental and numerical results show that the proposed method is robust and accurate.
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40
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Zhang C, Zhu KJ, Liu JL, Xu GX, Liu W, Jiang FX, Zheng HF, Quan C. Omentin-1 plasma levels and omentin-1 expression are decreased in psoriatic lesions of psoriasis patients. Arch Dermatol Res 2015; 307:455-9. [DOI: 10.1007/s00403-015-1549-z] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2014] [Revised: 01/22/2015] [Accepted: 02/05/2015] [Indexed: 10/24/2022]
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41
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Zhang C, Zhu KJ, Liu H, Quan C, Liu Z, Li SJ, Zhu CY, Li KS, Fan YM. TheTNFAIP3polymorphism rs610604 both associates with the risk of psoriasis vulgaris and affects the clinical severity. Clin Exp Dermatol 2014; 40:426-30. [PMID: 25496073 DOI: 10.1111/ced.12536] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/19/2014] [Indexed: 12/18/2022]
Affiliation(s)
- C. Zhang
- Department of Dermatology; Anhui Provincial Hospital; Hefei Anhui China
| | - K.-J. Zhu
- Department of Dermatology; Affiliated Hospital of Guangdong Medical College; Zhanjiang Guangdong China
| | - H. Liu
- Department of Dermatology; Affiliated Hospital of Guangdong Medical College; Zhanjiang Guangdong China
| | - C. Quan
- Department of Dermatology; Affiliated Hospital of Xuzhou Medical College; Xuzhou Jiangsu China
| | - Z. Liu
- Department of Dermatology; Anhui Provincial Hospital; Hefei Anhui China
| | - S.-J. Li
- Department of Dermatology; Anhui Provincial Hospital; Hefei Anhui China
| | - C.-Y. Zhu
- Department of Dermatology; Anhui Provincial Hospital; Hefei Anhui China
| | - K.-S. Li
- Guangdong Key Laboratory of Age-Related Cardiac and Cerebral Diseases; Guangdong Medical College; Zhanjiang Guangdong China
| | - Y.-M. Fan
- Department of Dermatology; Anhui Provincial Hospital; Hefei Anhui China
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42
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Yu Z, Jiang Q, Liu J, Guo D, Quan C, Li B, Qu L. A simplified system for generating recombinant E3-deleted canine adenovirus-2. Plasmid 2014; 77:1-6. [PMID: 25450764 DOI: 10.1016/j.plasmid.2014.10.005] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.6] [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: 07/29/2014] [Revised: 10/15/2014] [Accepted: 10/27/2014] [Indexed: 11/15/2022]
Abstract
Canine adenovirus type 2 (CAV-2) has been used extensively as a vector for studying gene therapy and vaccine applications. We describe a simple strategy for generating a replication-competent recombinant CAV-2 using a backbone vector and a shuttle vector. The backbone plasmid containing the full-length CAV-2 genome was constructed by homologous recombination in Escherichia coli strain BJ5183. The shuttle plasmid, which has a deletion of 1478 bp in the nonessential E3 viral genome region, was generated by subcloning a fusion fragment containing the flanking sequences of the CAV-2 E3 region and expression cassette sequences from pcDNA3.1(+) into modified pUC18. To determine system effectiveness, a gene for enhanced green fluorescent protein (EGFP) was inserted into the shuttle plasmid and cloned into the backbone plasmid using two unique NruI and SalI sites. Transfection of Madin-Darby canine kidney (MDCK) cells with the recombinant adenovirus genome containing the EGFP expression cassette resulted in infectious viral particles. This strategy provides a solid foundation for developing candidate vaccines using CAV-2 as a delivery vector.
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Affiliation(s)
- Zuo Yu
- Zoonosis of Natural Foci, State Key Laboratory of Veterinary Biotechnology, Harbin Veterinary Research Institute of Chinese Academy of Agricultural Sciences, Harbin, China
| | - Qian Jiang
- Zoonosis of Natural Foci, State Key Laboratory of Veterinary Biotechnology, Harbin Veterinary Research Institute of Chinese Academy of Agricultural Sciences, Harbin, China
| | - Jiasen Liu
- Zoonosis of Natural Foci, State Key Laboratory of Veterinary Biotechnology, Harbin Veterinary Research Institute of Chinese Academy of Agricultural Sciences, Harbin, China
| | - Dongchun Guo
- Zoonosis of Natural Foci, State Key Laboratory of Veterinary Biotechnology, Harbin Veterinary Research Institute of Chinese Academy of Agricultural Sciences, Harbin, China
| | - Chuansong Quan
- Zoonosis of Natural Foci, State Key Laboratory of Veterinary Biotechnology, Harbin Veterinary Research Institute of Chinese Academy of Agricultural Sciences, Harbin, China
| | - Botao Li
- Zoonosis of Natural Foci, State Key Laboratory of Veterinary Biotechnology, Harbin Veterinary Research Institute of Chinese Academy of Agricultural Sciences, Harbin, China
| | - Liandong Qu
- Zoonosis of Natural Foci, State Key Laboratory of Veterinary Biotechnology, Harbin Veterinary Research Institute of Chinese Academy of Agricultural Sciences, Harbin, China.
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Deepan B, Quan C, Wang Y, Tay CJ. Multiple-image encryption by space multiplexing based on compressive sensing and the double-random phase-encoding technique. Appl Opt 2014; 53:4539-4547. [PMID: 25090076 DOI: 10.1364/ao.53.004539] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/28/2014] [Accepted: 05/28/2014] [Indexed: 06/03/2023]
Abstract
In this paper, a new multiple-image encryption and decryption technique that utilizes the compressive sensing (CS) concept along with a double-random phase encryption (DRPE) has been proposed. The space multiplexing method is employed for integrating multiple-image data. The method, which results in a nonlinear encryption system, is able to overcome the vulnerability of classical DRPE. The CS technique and space multiplexing are able to provide additional key space in the proposed method. A numerical experiment of the proposed method is implemented and the results show that the proposed method has good accuracy and is more robust than classical DRPE. The proposed system is also employed against chosen-plaintext attacks and it is found that the inclusion of compressive sensing enhances robustness against the attacks.
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Quan C. Regional anaesthesia: the A, B and Cs. S Afr Fam Pract (2004) 2013. [DOI: 10.1080/20786204.2013.10874361] [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] Open
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45
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Liu C, Wang C, Yan M, Quan C, Zhou J, Yang K. PCB153 disrupts thyroid hormone homeostasis by affecting its biosynthesis, biotransformation, feedback regulation, and metabolism. Horm Metab Res 2012; 44:662-9. [PMID: 22517553 DOI: 10.1055/s-0032-1311569] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/28/2022]
Abstract
PCB153, one of the 3 dominant congeners in the food chain, causes the disruption of the endocrine system in humans and animals. In order to elucidate the effects of PCB153 on the biosynthesis, biotransformation, regulation, metabolism, and transport of thyroid hormones (THs), Sprague-Dawley (SD) rats were dosed with PCB153 intraperitoneally (i.p.) at 0, 4, 16 and 32 mg/kg/day for 5 consecutive days and sacrificed 24 h after the last dose. Results showed that after treatment with PCB153, serum total thyroxine (TT4), total triiodothyronine (TT3), and thyrotropin releasing hormone (TRH) decreased, whereas serum thyroid stimulating hormone (TSH) concentration did not alter. The serum sodium iodide symporter (NIS), thyroid peroxidase (TPO), and thyroglobulin (Tg) levels decreased. The mRNA expressions of type 2 and 3 deiodinases (D2 and D3) reduced, but the type 1 deiodinase (D1) showed no significant change. The TSH receptor (TSHr) and TRH receptor (TRHr) levels declined. PCB153 induced hepatic enzymes, and the UDPGTs, CYP2B1, and CYP3A1 mRNA levels were significantly elevated. Taken together, the observed results from the present study indicated that PCB153 disrupted thyroid hormone homeostasis through influencing synthesis-associated proteins (NIS, TPO and Tg), deiodinases, receptors (TSHr and TRHr), and hepatic enzymes, and the decrease of D3 expression might be the compensatory response of body.
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Affiliation(s)
- C Liu
- MOE Key Lab of Environment and Health, Department of Occupational and Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, P. R. China
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Lin H, Quan C, Guo C, Zhou C, Wang Y, Bao B. Translation and validation of the Chinese version of the psychosocial impact of dental aesthetics questionnaire. Eur J Orthod 2011; 35:354-60. [DOI: 10.1093/ejo/cjr136] [Citation(s) in RCA: 31] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
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47
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Ming L, Ying Y, Quan C, Jianguo J, Lei Z, Yunzeng Z, Junbo G. Simvastatin suppressed HMGB1-RAGE axis and atherosclerosis via mevalonate pathway. Heart 2011. [DOI: 10.1136/heartjnl-2011-300867.134] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
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48
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He CF, Liu YS, Cheng YL, Gao JP, Pan TM, Han JW, Quan C, Sun LD, Zheng HF, Zuo XB, Xu SX, Sheng YJ, Yao S, Hu WL, Li Y, Yu ZY, Yin XY, Zhang XJ, Cui Y, Yang S. TNIP1, SLC15A4, ETS1, RasGRP3 and IKZF1 are associated with clinical features of systemic lupus erythematosus in a Chinese Han population. Lupus 2010; 19:1181-6. [PMID: 20516000 DOI: 10.1177/0961203310367918] [Citation(s) in RCA: 96] [Impact Index Per Article: 6.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/21/2023]
Abstract
Systemic lupus erythematosus (SLE) is an autoimmune disease with heterogeneous clinical manifestations influenced by genetic and environmental factors. Five novel susceptibility genes (TNIP1, SLC15A4, ETS1, RasGRP3 and IKZF1) for SLE have been identified in a recent genome-wide association study of a Chinese Han population. This study investigated their relationships with disease subphenotypes, including renal nephritis, photosensitivity, antinuclear antibody (ANA), age at diagnosis, malar rash, discoid rash, immunological disorder, oral ulcer, hematological disorder, neurological disorder, serositis, arthritis and vasculitis. Significant associations were found for the single nucleotide polymorphism rs10036748 of TNIP1 with photosensitivity (odds ratio (OR) = 0.87, p = 0.01) and vasculitis (OR = 1.18, p = 0.04); rs10847697 of SLC15A4 with discoid rash (OR = 1.18, p = 0.02); rs6590330 of ETS1 with SLE of age at diagnosis <20 years (OR = 1.24, p = 8.91 x 10(-5)); rs13385731 of RasGRP3 with malar rash (OR = 1.20, p = 0.01), discoid rash (OR = 0.78, p = 0.02) and ANA (OR = 0.72, p = 0.004); rs4917014 of IKZF1 with renal nephritis (OR = 1.13, p = 0.02) and malar rash (OR = 0.83, p = 0.00038), respectively. The study suggested that these susceptibility genes might not only play important roles in the development of SLE, but also contribute to the complex phenotypes of SLE.
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Affiliation(s)
- C-F He
- The First Affiliated Hospital, Anhui Medical University, Anhui, China
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Bhaduri B, Tay CJ, Quan C, Sheppard CJR. Motion detection using extended fractional Fourier transform and digital speckle photography. Opt Express 2010; 18:11396-11405. [PMID: 20589000 DOI: 10.1364/oe.18.011396] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/29/2023]
Abstract
Digital speckle photography is a useful tool for measuring the motion of optically rough surfaces from the speckle shift that takes place at the recording plane. A simple correlation based digital speckle photographic system has been proposed that implements two simultaneous optical extended fractional Fourier transforms (EFRTs) of different orders using only a single lens and detector to simultaneously detect both the magnitude and direction of translation and tilt by capturing only two frames: one before and another after the object motion. The dynamic range and sensitivity of the measurement can be varied readily by altering the position of the mirror/s used in the optical setup. Theoretical analysis and experiment results are presented.
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Affiliation(s)
- Basanta Bhaduri
- 1Department of Mechanical Engineering, National University of Singapore, 9 Engineering Drive 1, Singapore
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Tang HY, Du WD, Cui Y, Fan X, Quan C, Fang QY, Zhou FS, Yao FM, Wang JF, Yang S, Zhang X. One novel and two recurrent mutations in the keratin 5 gene identified in Chinese patients with epidermolysis bullosa simplex. Clin Exp Dermatol 2010; 34:e957-61. [PMID: 20055872 DOI: 10.1111/j.1365-2230.2009.03703.x] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/01/2023]
Abstract
Epidermolysis bullosa simplex (EBS) is a group of inherited skin diseases, characterized by the formation of intraepidermal blisters. We performed genetic analysis of the keratin 5 (KRT5) gene in two Chinese pedigrees. One novel missense mutation was identified in a patient with sporadic EBS (general, non-Dowling-Meara). Sequence analysis showed a heterozygous T > A transition at nucleotide 1730 of KRT5, changing phenylalanine (Phe) to tyrosine (Tyr) at position 577 of the keratin 5 (K5). In addition, two recurrent mutations c.1649delG (p.Gly550AlafsX77) and c.508G > (p.Glu170Lys) in KRT5 were identified in Chinese patients with mottled pigmentation EBS and localized EBS, respectively. None of the mutations were found in any unaffected family members or in an additional 100 unrelated control samples. These results suggest that these mutations are pathogenic and might be one of the potential causes of EBS in these Chinese patients.
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Affiliation(s)
- H Y Tang
- Institute of Dermatology & Department of Dermatology at First Hospital, Anhui Medical University, Anhui, China
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