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Cui A, Xia B, Jiang H, Li Q, Sun L, Xu J, Hu K, Xie Z, Wang Y, Zhu R, Huang C, Li Z, Xu J, Wang W, Zhang H, Gao Z, Zhang F, Xie H, Zhang Y. Prevalence and genetic diversity of human rhinovirus among patients with acute respiratory infections in China, 2012-2021. J Med Virol 2024; 96:e29582. [PMID: 38590253 DOI: 10.1002/jmv.29582] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2023] [Revised: 03/14/2024] [Accepted: 03/23/2024] [Indexed: 04/10/2024]
Abstract
To understand the prevalence of rhinovirus (RV) among acute respiratory infection (ARI) patients, 10-year ARI surveillance in multiple provinces of China were conducted during 2012-2021. Of 15 645 ARI patients, 1180 (7.54%) were confirmed to have RV infection and 820 (69.49%) were children under 5 years of age. RV typing was performed on the 527 VP1 gene sequences, and species A, B, and C accounted for 73.24%, 4.93%, and 21.82%, respectively. Although no significant difference in the proportions of age groups or disease severity was found between RV species, RV-C was more frequently detected in children under 5 years of age, RV-A was more frequently detected in elderly individuals (≥60), and the proportions of pneumonia in RV-A and RV-C patients were higher than those in RV-B patients. The epidemic peak of RV-A was earlier than that of RV-C. A total of 57 types of RV-A, 13 types of RV-B, and 35 types of RV-C were identified in RV-infected patients, and two uncertain RV types were also detected. The findings showed a few differences in epidemiological and clinical features between RV species in ARI patients, and RV-A and RV-C were more prevalent than RV-B.
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Affiliation(s)
- Aili Cui
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases (NITFID), 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
| | - Baicheng Xia
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases (NITFID), 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
| | - Haoran Jiang
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases (NITFID), 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
| | - Qi Li
- Institute for Viral Disease Control and Prevention, Hebei Province Center for Disease Control and Prevention, Shijiazhuang, China
| | - Liwei Sun
- Precision Medicine Research Center, Children's Hospital of Changchun, Changchun, China
| | - Jin Xu
- Henan Provincial Center for Disease Control and Prevention, Zhengzhou, China
| | - Kongxin Hu
- Institute of Health Inspection and Quarantine, Chinese Academy of Inspection and Quarantine, Beijing, China
| | - Zhibo Xie
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases (NITFID), 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
| | - Yage Wang
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases (NITFID), 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
| | - Runan Zhu
- Laboratory of Virology, Beijing Key Laboratory of Etiology of Viral Diseases in Children, Capital Institute of Pediatrics, Beijing, China
| | - Chaoyang Huang
- Department of Microbiology, Hunan Provincial Center for Disease Control and Prevention, Changsha, China
| | - Zhong Li
- Department of Viral Diseases, Institute for Communicable Disease Control and Prevention, Shandong Center for Disease Control and Prevention, Jinan, China
| | - Jing Xu
- Viral Disease Department, Shaanxi Center for Disease Control and Prevention, Xi'an, China
| | - Wenyang Wang
- Department of Medical Frontier Experimental Center, School of Medicine, Anhui University of Science and Technology, Huainan, China
| | - Hui Zhang
- Virus Laboratory, Gansu Provincial Center for Disease Control and Prevention, Lanzhou, China
| | - Zhenguo Gao
- Institute for Infectious Disease Prevention and Treatment, Xinjiang Center for Disease Control and Prevention, Wulumuqi, China
| | - Feng Zhang
- Laboratory of Viral Diseases, Qingdao Municipal Centre for Disease Control and Prevention, Qingdao Institute of Prevention Medicine, Qingdao, China
| | - Hui Xie
- Institute for Immunization and Prevention, Beijing Center for Disease Prevention and Control, Beijing Academy for Preventive Medicine, Beijing Institute of Tuberculosis Control Research and Prevention, Beijing, China
| | - Yan Zhang
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases (NITFID), 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
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Cai J, Liu Y, Qian C, Gao Y, Zhao S, Ma Y, Xiang X, Xu J, Zhang F, Li M, Xu H, Li Q, Li C, Lin Y, Xia B, Cui A, Zhang Y, Zhu Z, Mao N. Genetic characterization of pediatric SARI-associated human adenoviruses in eight Chinese provinces during 2017-2021. J Med Virol 2024; 96:e29618. [PMID: 38639293 DOI: 10.1002/jmv.29618] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2024] [Revised: 03/29/2024] [Accepted: 04/09/2024] [Indexed: 04/20/2024]
Abstract
Human adenovirus (HAdV) is a significant viral pathogen causing severe acute respiratory infections (SARIs) in children. To improve the understanding of type distribution and viral genetic characterization of HAdV in severe cases, this study enrolled 3404 pediatric SARI cases from eight provinces of China spanning 2017-2021, resulting in the acquisition of 112 HAdV strains. HAdV-type identification, based on three target genes (penton base, hexon, and fiber), confirmed the diversity of HAdV types in SARI cases. Twelve types were identified, including species B (HAdV-3, 7, 55), species C (HAdV-1, 2, 6, 89, 108, P89H5F5, Px1/Ps3H1F1, Px1/Ps3H5F5), and E (HAdV-4). Among these, HAdV-3 exhibited the highest detection rate (44.6%), followed by HAdV-7 (19.6%), HAdV-1 (12.5%), and HAdV-108 (9.8%). All HAdV-3, 7, 55, 4 in this study belonged to dominant lineages circulating worldwide, and the sequences of the three genes demonstrated significant conservation and stability. Concerning HAdV-C, excluding the novel type Px1/Ps3H1F1 found in this study, the other seven types were detected both in China and abroad, with HAdV-1 and HAdV-108 considered the two main types of HAdV-C prevalent in China. Two recombinant strains, including P89H5F5 and Px1/Ps3H1F1, could cause SARI as a single pathogen, warranting close monitoring and investigation for potential public health implications. In conclusion, 5 years of SARI surveillance in China provided crucial insights into HAdV-associated respiratory infections among hospitalized pediatric patients.
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Affiliation(s)
- Jianlin Cai
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Disease, 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
| | - Ying Liu
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Disease, 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
| | - Cheng Qian
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Disease, 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
| | - Yixuan Gao
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Disease, 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
| | - Sheng Zhao
- Institute of Immunization Program, Henan Provincial Center for Disease Control and Prevention, Zhengzhou, China
| | - Yingwei Ma
- Children's Hospital of Changchun, Changchun, China
| | - Xingyu Xiang
- Department of Microbiology, Hunan Provincial Center for Disease Control and Prevention, Changsha, China
| | - Jing Xu
- Institute of Viral Diseases, Shaanxi Provincial Center for Disease Control and Prevention of Shaanxi Province, Xi'an, China
| | - Feng Zhang
- Laboratory of Viral Diseases, Qingdao Municipal Centre for Disease Control and Prevention, Qingdao, China
| | - Maozhong Li
- Institute for Immunization and Prevention, Beijing Center for Disease Control and Prevention, Beijing Academy for Preventive Medicine, Beijing Institute of Tuberculosis Control Research and Prevention, Beijing, China
| | - Hongmei Xu
- Department of Infectious Diseases, Children's Hospital Affiliated to Chongqing Medical University, Chongqing, China
| | - Qi Li
- Hebei Provincial Center for Disease Control and Prevention, Shijiazhuang, China
| | - Chongyang Li
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Disease, 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
| | - Yitong Lin
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Disease, 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
| | - Baicheng Xia
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Disease, 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
| | - Aili Cui
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Disease, 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
| | - Yan Zhang
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Disease, 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
| | - Zhen Zhu
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Disease, 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
| | - Naiying Mao
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Disease, 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
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Gao Y, Ma Y, Feng D, Zhang F, Wang B, Liu X, Zhu B, Xie H, Zhao L, Long X, Chen Y, Wang B, Jiang J, Zhu Z, Zhang Y, Cui A, Xia B, Mao N. Epidemiological Characteristics of Human Parainfluenza Viruses Infections - China, 2019-2023. China CDC Wkly 2024; 6:235-241. [PMID: 38633430 PMCID: PMC11018516 DOI: 10.46234/ccdcw2024.047] [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: 09/11/2023] [Accepted: 03/17/2024] [Indexed: 04/19/2024] Open
Abstract
Introduction A retrospective study based on sentinel surveillance was conducted in 10 provincial-level administrative divisions (PLADs) in China to enhance the understanding of the epidemiological characteristics of human parainfluenza viruses (HPIVs). Methods From January 2019 to June 2023, respiratory specimens were collected from individuals with acute respiratory infections (ARIs) and screened for four HPIVs serotypes and other common respiratory viruses using multiplex real-time polymerase chain reaction (PCR). This study analyzed the association of HPIVs infections with seasonal patterns, geographical distribution, demographic profiles, clinical features, and co-infection status. Results During the study period, a total of 12,866 ARIs were included. The overall detection rate of HPIVs was 6.15%, varying from 5.04% in 2022 to 9.70% in 2020. The median age of HPIVs-infected patients was 3 years. HPIV2 was more prevalent among individuals aged 5-17 years (42.57%), while HPIV4 was more common in those over 65 years (12.24%). HPIV3 (54.16%) and HPIV1 (27.18%) were the predominant serotypes, and their prevalence exhibited significant seasonal fluctuations post- coronavirus disease 2019 (COVID-19) pandemic. The peak of HPIV3 shifted three months later in 2020 compared to 2019 and returned to a summer peak thereafter. Two peaks of HPIV1 were observed in 2021 following the peak of HPIV3. Additionally, co-infections were frequent in HPIVs cases (overall rate: 22.12%), with human rhinovirus being the most common co-infecting virus. Conclusions The prevalence of HPIVs in China was predominantly due to HPIV3 and HPIV1, and their seasonal patterns were altered by pandemic restrictions. Hence, continuous surveillance of HPIVs is essential.
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Affiliation(s)
- Yixuan Gao
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention; Beijing, China
| | - Yingwei Ma
- Precision Medicine Research Center, Children’s Hospital of Changchun, Changchun City, Jilin Province, China
| | - Daxing Feng
- Henan Provincial Center for Disease Control and Prevention, Zhengzhou City, Henan Province, China
| | - Feng Zhang
- Laboratory of Viral Diseases, Qingdao Municipal Centre for Disease Control and Prevention, Qingdao City, Shandong Province, China
| | - Biao Wang
- Virus Laboratory, Gansu Provincial Center for Disease Control and Prevention, Lanzhou City, Gansu Province, China
| | - Xiaoqing Liu
- Jiangxi Provincial Center for Disease Control and Prevention, Nanchang City, Gansu Province, China
| | - Bing Zhu
- Virus Laboratory, Guangzhou Women and Children’s Medical Center, Guangzhou Medical University, Guangzhou City, Guangdong Province, China
| | - Hui Xie
- Institute for Immunization and Prevention, Beijing Center for Disease Prevention and Control, Academy for Preventive Medicine, Institute of Tuberculosis Control Research and Prevention, Beijing, China
| | - Linqing Zhao
- Laboratory of Virology, Beijing Key Laboratory of Etiology of Viral Diseases in Children, Capital Institute of Pediatrics, Beijing, China
| | - Xiaoru Long
- Department of Infection, Children’s Hospital of Chongqing Medical University, Chongqing, China
| | - Ying Chen
- Inner Mongolia Autonomous Region Comprehensive Center for Disease Control and Prevention, Hohhot City, Inner Mongolia Autonomous Region, China
| | - Bing Wang
- Shenyang Prefecture Center for Disease Control and Prevention, Shenyang City, Liaoning Province, China
| | - Jie Jiang
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention; Beijing, China
| | - Zhen Zhu
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention; Beijing, China
| | - Yan Zhang
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention; Beijing, China
| | - Aili Cui
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention; Beijing, China
| | - Baicheng Xia
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention; Beijing, China
| | - Naiying Mao
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention; Beijing, China
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Feng L, Yang Y, Lin Z, Cui M, Jin A, Cui A. Correction: NCAPD2 is a favorable predictor of prognostic and immunotherapeutic biomarker for multiple cancer types including lung cancer. Genes Environ 2024; 46:6. [PMID: 38347640 PMCID: PMC10863280 DOI: 10.1186/s41021-024-00301-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/15/2024] Open
Affiliation(s)
- Linyuan Feng
- Yanbian University Hospital, Yanji, China
- Key Laboratory of Pathobiology of High Frequency Oncology in Ethnic Minority Areas, Yanbian University, State Ethnic Affairs Commission, Yanji, China
| | - Yang Yang
- Key Laboratory of Pathobiology of High Frequency Oncology in Ethnic Minority Areas, Yanbian University, State Ethnic Affairs Commission, Yanji, China
| | - Zhenhua Lin
- Yanbian University Hospital, Yanji, China
- Key Laboratory of Pathobiology of High Frequency Oncology in Ethnic Minority Areas, Yanbian University, State Ethnic Affairs Commission, Yanji, China
| | - Minghua Cui
- Key Laboratory of Pathobiology of High Frequency Oncology in Ethnic Minority Areas, Yanbian University, State Ethnic Affairs Commission, Yanji, China
| | - Aihua Jin
- Yanbian University Hospital, Yanji, China
| | - Aili Cui
- Yanbian University Hospital, Yanji, China.
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Wu J, Li D, Gao J, Cui A, Li R, Wu S. Multi-channel synthetic aperture infrared imaging and experimental research. Appl Opt 2024; 63:976-981. [PMID: 38437394 DOI: 10.1364/ao.508139] [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: 10/13/2023] [Accepted: 12/21/2023] [Indexed: 03/06/2024]
Abstract
The synthetic aperture infrared radio imaging method based on laser local oscillator coherent detection has potential application value for astronomical observations. This paper studies the multi-channel synthetic aperture infrared imaging method and conducts experimental verification using a principle prototype. In the short-wave infrared band, five beam-expanding fiber collimators are used to build an observation structure of five laser local oscillator coherent detection channels at a near-field distance of 5 m to carry out physical experiments. The laser local oscillator wavelength is 1.55 µm, and the AD sampling rate is 4 GHz. For the infrared radiation source signal, the phase relationship of the infrared signals between channels acquired by the prototype principle is stable, and the five-channel synthetic aperture imaging results are consistent with the computer simulated results. The experiment verified the effectiveness of the laser local oscillator comprehensive aperture infrared radio imaging method.
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Feng L, Yang Y, Lin Z, Cui M, Jin A, Cui A. NCPAD2 is a favorable predictor of prognostic and immunotherapeutic biomarker for multiple cancer types including lung cancer. Genes Environ 2024; 46:2. [PMID: 38172945 PMCID: PMC10763337 DOI: 10.1186/s41021-023-00291-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2023] [Accepted: 11/20/2023] [Indexed: 01/05/2024] Open
Abstract
BACKGROUND Non-SMC condensin I complex subunit D2 (NCAPD2) belongs to the chromosomal structural maintenance family. While the different contribution of NCAPD2 to chromosome in mitosis have been thoroughly investigated, much less is known about the expression of NCAPD2 in pan-cancer. Thus, we used a bioinformatics dataset to conduct a pan-cancer analysis of NCAPD2 to determine its regulatory role in tumors. METHODS Multiple online databases were analyzed NCAPD2 gene expression, protein level, patient survival and functional enrichment in pan-cancer. Genetic alteration and tumor stemness of NCAPD2 were analyzed using cBioPortal and SangerBox. The GSCA and CellMiner were used to explore the relationship between NCAPD2 and drug sensitivity. The diagnostic value of prognosis was evaluated by ROC curve. Subsequently, the immune infiltration level and immune subtype of NCAPD2 in lung adenocarcinoma (LUAD) and lung squamous cell carcinoma (LUSC) were analyzed using TIMER1 and TISIDB. RESULTS NCAPD2 gene expression was significantly higher in most cancers and associated with clinical stage and poor prognosis. Genomic heterogeneity of NCAPD2 promoted the occurrence and development of tumors. GO enrichment analysis suggested NCAPD2 might be involved in DNA repair and immune response. NCAPD2 was involved in immune infiltration of LUAD and LUSC. ROC curves showed that NCAPD2 has important prognosis diagnostic value in LUAD and LUSC. Moreover, NCAPD2 was drug sensitive to topotecan, which may be an optimize immunotherapy. CONCLUSIONS It was found that NCAPD2 was overexpressed in pan-cancers, which was associated with poor outcomes. Importantly, NCAPD2 could be a diagnostic marker and an immune related biomarker for LUAD and LUSC.
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Affiliation(s)
- Linyuan Feng
- Yanbian University Hospital, Yanji, China
- Key Laboratory of Pathobiology of High Frequency Oncology in Ethnic Minority Areas, Yanbian University, State Ethnic Affairs Commission, Yanji, China
| | - Yang Yang
- Key Laboratory of Pathobiology of High Frequency Oncology in Ethnic Minority Areas, Yanbian University, State Ethnic Affairs Commission, Yanji, China
| | - Zhenhua Lin
- Yanbian University Hospital, Yanji, China
- Key Laboratory of Pathobiology of High Frequency Oncology in Ethnic Minority Areas, Yanbian University, State Ethnic Affairs Commission, Yanji, China
| | - Minghua Cui
- Key Laboratory of Pathobiology of High Frequency Oncology in Ethnic Minority Areas, Yanbian University, State Ethnic Affairs Commission, Yanji, China
| | - Aihua Jin
- Yanbian University Hospital, Yanji, China
| | - Aili Cui
- Yanbian University Hospital, Yanji, China.
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Jiang H, Qiu Q, Zhou Y, Zhang Y, Xu W, Cui A, Li X. The epidemiological and genetic characteristics of human parvovirus B19 in patients with febrile rash illnesses in China. Sci Rep 2023; 13:15913. [PMID: 37741897 PMCID: PMC10517975 DOI: 10.1038/s41598-023-43158-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2023] [Accepted: 09/20/2023] [Indexed: 09/25/2023] Open
Abstract
To understand the epidemiological and genetic characteristics of B19V, a multiple-province surveillance of patients with febrile rash illnesses (FRIs) were conducted in China during 2009 ~ 2021. The clinical specimens of 3,820 FRI patients were collected and tested for B19V DNA. A total of 99 (2.59%) patients were positive for B19V, and 49 (49.49%) were children under 5 years old. B19V infections occurred throughout the year without obvious seasonal pattern. Ten NS1-VP1u sequences and seven genome sequences were obtained in this study, identified as subgenotype 1a. Combined with the globally representative genome sequences, no temporal and geographic clustering trends of B19V were observed, and there was no significant correlation between B19V sequences and clinical manifestations. The evolutionary rate of the B19V genome was 2.30 × 10-4 substitutions/site/year. The number of negative selection sites was higher than that of positive selection sites. It was the first to comprehensively describe the prevalence patterns and evolutionary characteristics of B19V in FRI patients in China. B19V played the role in FRI patients. Children under 5 years old were the main population of B19V infection. Subgenotype 1a was prevalent in FRI patients in China. B19V showed a high mutation rate, while negative selection acted on the genome.
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Affiliation(s)
- Haoran Jiang
- National Health Commission (NHC) Key Laboratory of Medical Virology and Viral Diseases, WHO WPRO Regional Reference Measles/Rubella Laboratory, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, 102206, People's Republic of China
- School of Public Health and Management, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, 250117, People's Republic of China
| | - Qi Qiu
- National Health Commission (NHC) Key Laboratory of Medical Virology and Viral Diseases, WHO WPRO Regional Reference Measles/Rubella Laboratory, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, 102206, People's Republic of China
- Shanghai Municipal Center for Disease Control and Prevention, Institute of Infectious Disease Prevention and Control, 1380 Zhongshan West Road, Xuhui District, Shanghai, 200336, People's Republic of China
| | - Yangzi Zhou
- National Health Commission (NHC) Key Laboratory of Medical Virology and Viral Diseases, WHO WPRO Regional Reference Measles/Rubella Laboratory, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, 102206, People's Republic of China
- NHC Key Laboratory of Systems Biology of Pathogens, Institute of Pathogen Biology, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, 100730, People's Republic of China
| | - Yan Zhang
- National Health Commission (NHC) Key Laboratory of Medical Virology and Viral Diseases, WHO WPRO Regional Reference Measles/Rubella Laboratory, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, 102206, People's Republic of China
| | - Wenbo Xu
- National Health Commission (NHC) Key Laboratory of Medical Virology and Viral Diseases, WHO WPRO Regional Reference Measles/Rubella Laboratory, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, 102206, People's Republic of China
| | - Aili Cui
- National Health Commission (NHC) Key Laboratory of Medical Virology and Viral Diseases, WHO WPRO Regional Reference Measles/Rubella Laboratory, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, 102206, People's Republic of China.
| | - Xiaomei Li
- School of Public Health and Management, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, 250117, People's Republic of China.
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Song J, Zhu Z, Song J, Mao N, Cui A, Xu W, Zhang Y. Circulation pattern and genetic variation of human respiratory syncytial virus in China during 2008-2021. J Med Virol 2023; 95:e28611. [PMID: 36846911 DOI: 10.1002/jmv.28611] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2022] [Revised: 01/06/2023] [Accepted: 02/19/2023] [Indexed: 03/01/2023]
Abstract
To better understand the circulation pattern and genetic characterization of HRSV in China during 2008-2021, a total of 3,967 HVR2 sequences were obtained from 20 provinces in China for phylogenetic analysis and sequence variation analysis. The results showed that the HRSV subtype presented the prevalence pattern of "ABBAABAABAAABB". Further genotyping identified 7 genotypes for HRSVA and 9 genotypes for HRSVB. Multiple genotypes of HRSV were cocirculating during 2008-2015, while ON1 and BA9 became the only predominant genotypes for HRSVA and HRSVB, respectively, since 2015. A genotype switch from NA1 to ON1 for HRSVA occurred in approximately 2014, while genotype BA9 of HRSVB had been the predominant genotype for at least 14 years. ON1 strains could be divided into four lineages with no temporal or geographical distribution tendency. In contrast, BA9 strains could be divided into three lineages with noticeable temporal clustering. Sequence variation analysis showed that two ON1 sequences in 2017 had 10 nucleotide deletion and compensatory extension at the C-terminal; fifteen BA9 sequences during 2019-2021 had novel insertions between K225 and E226, along with 6 identical amino acid variant sites. This study further enriched the genetic data of HRSV circulating in China and provided an important basis for the development of HRSV vaccines and drugs as well as the formulation of prevention and control strategies. This article is protected by copyright. All rights reserved.
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Affiliation(s)
- Jingjing Song
- National health commission (NHC) Key Laboratory of Medical Virology and Viral Diseases, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention; WHO WPRO Regional Reference Measles/Rubella Laboratory
| | - Zhen Zhu
- National health commission (NHC) Key Laboratory of Medical Virology and Viral Diseases, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention; WHO WPRO Regional Reference Measles/Rubella Laboratory
| | - Jinhua Song
- National health commission (NHC) Key Laboratory of Medical Virology and Viral Diseases, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention; WHO WPRO Regional Reference Measles/Rubella Laboratory
| | - Naiying Mao
- National health commission (NHC) Key Laboratory of Medical Virology and Viral Diseases, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention; WHO WPRO Regional Reference Measles/Rubella Laboratory
| | - Aili Cui
- National health commission (NHC) Key Laboratory of Medical Virology and Viral Diseases, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention; WHO WPRO Regional Reference Measles/Rubella Laboratory
| | - Wenbo Xu
- National health commission (NHC) Key Laboratory of Medical Virology and Viral Diseases, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention; WHO WPRO Regional Reference Measles/Rubella Laboratory
| | - Yan Zhang
- National health commission (NHC) Key Laboratory of Medical Virology and Viral Diseases, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention; WHO WPRO Regional Reference Measles/Rubella Laboratory
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Wang H, Zhu Z, Duan X, Song J, Mao N, Cui A, Wang C, Du H, Wang Y, Li F, Zhou S, Feng D, Li C, Gao H, He J, Li L, Lei Y, Zheng H, Gong T, Hu Y, Xu C, Zhao H, Sun Z, Chen Y, Tang X, Chen M, Deng L, Wang S, Tian X, Zhang T, Si Y, Yuan F, Fan L, Mahemutijiang K, Chen Z, Chen H, Xu W, Zhang Y. Transmission Pattern of Measles Virus Circulating in China During 1993-2021: Genotyping Evidence Supports That China Is Approaching Measles Elimination. Clin Infect Dis 2023; 76:e1140-e1149. [PMID: 36037029 DOI: 10.1093/cid/ciac674] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2022] [Revised: 08/04/2022] [Accepted: 08/17/2022] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND To provide useful insights into measles elimination progress in China, measles surveillance data were reviewed, and the transmission patterns of measles viruses circulating in China during 1993-2021 were analyzed. METHODS Measles incidence data from the National Notifiable Disease Reporting System of the China Center for Disease Control and Prevention were analyzed. A total of 17 570 strains were obtained from 30 of 31 provinces in mainland China during 1993-2021. The recommended genotyping window was amplified. Genotyping analysis was conducted for comparison with the reference strains. Phylogenetic analyses were performed to identify genetic relationships among different lineages within the genotypes. RESULTS With high coverage of routine immunization and intensive supplementary immunization activities, measles incidence has shown a downward trend since 1993, despite 2 resurgences, reaching a historic low level in 2020-2021 (average 0.5 per million). During 1993-2021, 9 genotypes including domestic genotype H1; imported genotypes B3, D4, D8, D9, D11, G3, and H2; and vaccine-associated genotype A were identified. Among them, the genotype H1 strain circulated endemically in China for more than 25 years; the last strain was detected in Yunnan Province in September 2019. Multiple imported genotypes have been identified since 2009 showing different transmission patterns. Since April 2020, no imported strains have been detected, while vaccine-associated genotype A continues to be detected. CONCLUSIONS The evidence of low incidence during 2020-2021 and virological surveillance data in this study confirm that China is currently approaching measles elimination.
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Affiliation(s)
- Huiling Wang
- World Health Organization Western Pacific Regional Office Regional Reference Laboratory of Measles and Rubella, National Health Commission 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
| | - Zhen Zhu
- World Health Organization Western Pacific Regional Office Regional Reference Laboratory of Measles and Rubella, National Health Commission 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
| | - Xiaojian Duan
- World Health Organization Western Pacific Regional Office Regional Reference Laboratory of Measles and Rubella, National Health Commission 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
| | - Jinhua Song
- World Health Organization Western Pacific Regional Office Regional Reference Laboratory of Measles and Rubella, National Health Commission 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
| | - Naiying Mao
- World Health Organization Western Pacific Regional Office Regional Reference Laboratory of Measles and Rubella, National Health Commission 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
| | - Aili Cui
- World Health Organization Western Pacific Regional Office Regional Reference Laboratory of Measles and Rubella, National Health Commission 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
| | - Changyin Wang
- Provincial Measles/Rubella Laboratory, Shandong Provincial Center for Disease Control and Prevention, Jinan, China
| | - Hui Du
- Provincial Measles/Rubella Laboratory, Hebei Provincial Center for Disease Control and Prevention, Shijiazhuang, China
| | - Yan Wang
- Provincial Measles/Rubella Laboratory, Liaoning Provincial Center for Disease Control and Prevention, Shenyang, China
| | - Fangcai Li
- Provincial Measles/Rubella Laboratory, Hunan Provincial Center for Disease Control and Prevention, Changsha, China
| | - Shujie Zhou
- Provincial Measles/Rubella Laboratory, Anhui Provincial Center for Disease Control and Prevention, Hefei, China
| | - Daxing Feng
- Provincial Measles/Rubella Laboratory, Henan Provincial Center for Disease Control and Prevention, Zhengzhou, China
| | - Chongshan Li
- Provincial Measles/Rubella Laboratory, Shanghai Municipal Center for Disease Control and Prevention, Shanghai, China
| | - Hui Gao
- Provincial Measles/Rubella Laboratory, Shanxi Provincial Center for Disease Control and Prevention, Taiyuan, China
| | - Jilan He
- Provincial Measles/Rubella Laboratory, Sichuan Provincial Center for Disease Control and Prevention, Chengdu, China
| | - Liqun Li
- Provincial Measles/Rubella Laboratory, Yunnan Provincial Center for Disease Control and Prevention, Kunming, China
| | - Yue Lei
- Provincial Measles/Rubella Laboratory, Tianjin Municipal Center for Disease Control and Prevention, Tianjin, China
| | - Huanying Zheng
- Provincial Measles/Rubella Laboratory, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, China
| | - Tian Gong
- Provincial Measles/Rubella Laboratory, Jiangxi Provincial Center for Disease Control and Prevention, Nanchang, China
| | - Ying Hu
- Provincial Measles/Rubella Laboratory, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, China
| | - Changping Xu
- Provincial Measles/Rubella Laboratory, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China
| | - Hua Zhao
- Provincial Measles/Rubella Laboratory, Chongqing Municipal Center for Disease Control and Prevention, Chongqing, China
| | - Zhaodan Sun
- Provincial Measles/Rubella Laboratory, Heilongjiang Provincial Center for Disease Control and Prevention, Ha'erbin, China
| | - Ying Chen
- Provincial Measles/Rubella Laboratory, Gansu Provincial Center for Disease Control and Prevention, Lanzhou, China
| | - Xiaomin Tang
- Provincial Measles/Rubella Laboratory, Guizhou Provincial Center for Disease Control and Prevention, Guiyang, China
| | - Meng Chen
- Provincial Measles/Rubella Laboratory, Beijing Municipal Center for Disease Control and Prevention, Beijing, China
| | - Lili Deng
- Provincial Measles/Rubella Laboratory, Guangxi Center for Disease Control and Prevention, Nanning, China
| | - Shuang Wang
- Provincial Measles/Rubella Laboratory, Jilin Provincial Center for Disease Control and Prevention, Changchun, China
| | - Xiaoling Tian
- Provincial Measles/Rubella Laboratory, Neimenggu Center for Disease Control and Prevention, Huhehaote, China
| | - Ting Zhang
- Provincial Measles/Rubella Laboratory, Hubei Provincial Center for Disease Control and Prevention, Wuhan, China
| | - Yuan Si
- Provincial Measles/Rubella Laboratory, Shaanxi Provincial Center for Disease Control and Prevention, Xian, China
| | - Fang Yuan
- Provincial Measles/Rubella Laboratory, Ningxia Center for Disease Control and Prevention, Yinchuan, China
| | - Lixia Fan
- Provincial Measles/Rubella Laboratory, Qinghai Provincial Center for Disease Control and Prevention, Xining, China
| | - Kuerban Mahemutijiang
- Provincial Measles/Rubella Laboratory, Xinjiang Center for Disease Control and Prevention, Wulumuqi, China
| | - Zhifei Chen
- Provincial Measles/Rubella Laboratory, Fujian Provincial Center for Disease Control and Prevention, Fuzhou, China
| | - Haiyun Chen
- Provincial Measles/Rubella Laboratory, Hainan Provincial Center for Disease Control and Prevention, Haikou, China
| | - Wenbo Xu
- World Health Organization Western Pacific Regional Office Regional Reference Laboratory of Measles and Rubella, National Health Commission 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
| | - Yan Zhang
- World Health Organization Western Pacific Regional Office Regional Reference Laboratory of Measles and Rubella, National Health Commission 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
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10
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Wang S, Niu P, Su Q, He X, Tang J, Wang J, Feng Y, Chen C, Zhao X, Chen Z, Wang W, Yin Z, Wu Y, Wu C, Li L, Cui A, Zhang Y, Long C, Yang X, Zhang Z, Bo H, Xu W. Genomic Surveillance for SARS-CoV-2 — China, September 26, 2022 to January 29, 2023. China CDC Wkly 2023; 5:143-151. [PMID: 37009519 PMCID: PMC10061763 DOI: 10.46234/ccdcw2023.026] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2023] [Accepted: 02/13/2023] [Indexed: 02/19/2023] Open
Abstract
Introduction The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has generated 2,431 variants over the course of its global transmission over the past 3 years. To better evaluate the genomic variation of SARS-CoV-2 before and after the optimization of coronavirus disease 2019 (COVID-19) prevention and control strategies, we analyzed the genetic evolution branch composition and genomic variation of SARS-CoV-2 in both domestic and imported cases in China (the data from Hong Kong and Macau Special Administrative Regions and Taiwan, China were not included) from September 26, 2022 to January 29, 2023. Methods Analysis of the number of genome sequences, sampling time, dynamic changes of evolutionary branches, origin, and clinical typing of SARS-CoV-2 variants submitted by 31 provincial-level administrative divisions (PLADs) and Xinjiang Production and Construction Corps (XPCC) was conducted to assess the accuracy and timeliness of SARS-CoV-2 variant surveillance. Results From September 26, 2022 to January 29, 2023, 20,013 valid genome sequences of domestic cases were reported in China, with 72 evolutionary branches. Additionally, 1,978 valid genome sequences of imported cases were reported, with 169 evolutionary branches. The prevalence of the Omicron variants of SARS-CoV-2 in both domestic and imported cases was consistent with that of international epidemic variants. Conclusions This study provides an overview of the prevalence of Omicron variants of SARS-CoV-2 in China. After optimizing COVID-19 prevention and control strategies, no novel Omicron variants of SARS-CoV-2 with altered biological characteristics or public health significance have been identified since December 1, 2022.
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Affiliation(s)
- Shiwen Wang
- National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
- National Health Commission Key Laboratory for Medical Virology and Viral Diseases, Beijing, China
| | - Peihua Niu
- National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Qiudong Su
- National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Xiaozhou He
- National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Jing Tang
- National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Ji Wang
- National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Yenan Feng
- National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
- National Health Commission Key Laboratory for Medical Virology and Viral Diseases, Beijing, China
| | - Cao Chen
- National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Xiang Zhao
- National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Zhixiao Chen
- National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Wenling Wang
- National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Zeyuan Yin
- National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Yuchao Wu
- National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Changcheng Wu
- National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Lili Li
- National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Aili Cui
- National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Yan Zhang
- National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Caiyun Long
- National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Xiaoyu Yang
- National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Zhongxian Zhang
- National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Hong Bo
- National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Wenbo Xu
- National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
- National Health Commission Key Laboratory for Medical Virology and Viral Diseases, Beijing, China
- Wenbo Xu,
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11
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Cui A, Xie Z, Xu J, Hu K, Zhu R, Li Z, Li Y, Sun L, Xiang X, Xu B, Zhang R, Gao Z, Zhang Y, Xu W. Comparative analysis of the clinical and epidemiological characteristics of human influenza virus versus human respiratory syncytial virus versus human metapneumovirus infection in nine provinces of China during 2009-2021. J Med Virol 2022; 94:5894-5903. [PMID: 35981880 DOI: 10.1002/jmv.28073] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [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: 06/27/2022] [Revised: 07/29/2022] [Accepted: 08/16/2022] [Indexed: 01/06/2023]
Abstract
A comparative analysis of confirmed cases of human influenza virus (HIFV), human respiratory syncytial virus (HRSV), and human metapneumovirus (HMPV) was conducted to describe their clinical and epidemiological characteristics. During 2009-2021, active surveillance of acute respiratory infections (ARIs) was performed in nine provinces of China. Clinical and epidemiological information and laboratory testing results of HIFV, HRSV, and HMPV were analyzed. Among 11591 ARI patients, the single-infection rates of HIFV, HRSV, and HMPV were 15.00%, 9.59%, and 2.24%, respectively; the coinfection rate of these three viruses was 0.64%. HIFV infection was mainly in adults aged 15-59 years, accounting for 39.10%. HRSV and HMPV infections were mainly in children under 5 years old, accounting for 87.13% and 83.46%, respectively. Patients with HRSV infection were younger than HMPV. HRSV and HMPV had high similarities in clinical manifestations, presenting with lower respiratory symptoms. HIFV mainly presented with an upper respiratory infection. The epidemic peak of HRSV was earlier than that of HIFV, and that of HMPV was later than those of HRSV and HFIV. A total of 85.14% of coinfection cases were children under 5 years old. Coinfection might increase the risk of pneumonia in HIFV cases. During 2020-2021, the positive rates and seasonal patterns of these three viruses changed due to the impact of the COVID-19 pandemic. Certain clinical and epidemiological features were observed in HIFV, HRSV, and HMPV infections, which could be beneficial for guiding clinical diagnosis, treatment, and prevention of these three viruses in China.
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Affiliation(s)
- Aili Cui
- NHC Key Laboratory of Medical Virology and Viral Diseases, Chinese Centers for Disease Control and Prevention, National Institute for Viral Disease Control and Prevention, Beijing, China
| | - Zhibo Xie
- NHC Key Laboratory of Medical Virology and Viral Diseases, Chinese Centers for Disease Control and Prevention, National Institute for Viral Disease Control and Prevention, Beijing, China
| | - Jing Xu
- Viral Disease Department, Shaanxi Center for Disease Control and Prevention, Xi'an, China
| | - Kongxin Hu
- Institute of Health Inspection and Quarantine, Chinese Academy of Inspection and Quarantine, Beijing, China
| | - Runan Zhu
- Department of Virology, Beijing Key Laboratory of Pediatric Virology, Capital Institute of Pediatrics, Beijing, China
| | - Zhong Li
- Department of Viral Diseases, Shandong Center for Disease Control and Prevention, Institute for Communicable Disease Control and Prevention, Jinan, China
| | - Yan Li
- Hebei Center for Disease Control and Prevention, Institute for Prevention and Control of Viral Diseases, Shijiazhuang, China
| | - Liwei Sun
- Precision Medicine Research Center, Children's Hospital of Changchun, Changchun, China
| | - Xingyu Xiang
- Microbiological Examination Department, Hunan Center for Disease Control and Prevention, Changsha, China
| | - Baoping Xu
- Respiratory Department, Research Unit of Critical Infection in Children, China National Clinical Research Center of Respiratory Diseases, National Center for Children's Health, Beijing Children's Hospital, Chinese Academy of Medical Sciences, Capital Medical University, Beijing, China
| | - Rongbo Zhang
- Department of Immunology, School of Medicine, Anhui University of Science and Technology, Huainan, China
| | - Zhenguo Gao
- Xinjiang Uyghur Autonomous Region Center for Disease Control and Prevention, Institute for Infectious Disease Prevention and Treatment, Wulumuqi, China
| | - Yan Zhang
- NHC Key Laboratory of Medical Virology and Viral Diseases, Chinese Centers for Disease Control and Prevention, National Institute for Viral Disease Control and Prevention, Beijing, China
| | - Wenbo Xu
- NHC Key Laboratory of Medical Virology and Viral Diseases, Chinese Centers for Disease Control and Prevention, National Institute for Viral Disease Control and Prevention, Beijing, China
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12
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Liu Y, Han Z, Kang C, Cui A, Zhang Y, Liu L, Chen Y, Deng L, Zhao H, Zhou J, Li F, Zhou S, Feng D, Tian X, Feng Y, Cui X, Lei Y, Wang Y, Yuan F, Fan L, Tang X, Chen M, Peng X, Guo Y, Gao H, Wang S, Li L, Zhang T, Deng X, Chen H, Wang S, Ma Y, Zhu Z, Xu W. Importation and circulation of rubella virus lineages 1E-L2 and 2B-L2c between 2018 and 2021 in China: Virus evolution and spatial-temporal transmission characteristics. Virus Evol 2022; 8:veac083. [PMID: 36533147 PMCID: PMC9752544 DOI: 10.1093/ve/veac083] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2022] [Revised: 08/26/2022] [Accepted: 09/03/2022] [Indexed: 11/19/2023] Open
Abstract
To better understand the importation and circulation patterns of rubella virus lineages 1E-L2 and 2B-L2c circulating in China since 2018, 3,312 viral strains collected from 27 out of 31 provinces in China between 2018 and 2021 were sequenced and analyzed with the representative international strains of lineages 1E-L2 and 2B-L2c based on genotyping region. Time-scale phylogenetic analysis revealed that the global lineages 1E-L2 and 2B-L2c presented distinct evolutionary patterns. Lineage 1E-L2 circulated in relatively limited geographical areas (mainly Asia) and showed geographical and temporal clustering, while lineage 2B-L2c strains circulated widely throughout the world and exhibited a complicated topology with several independently evolved branches. Furthermore, both lineages showed extensive international transmission activities, and phylogeographic inference provided evidence that lineage 1E-L2 strains circulating in China possibly originated from Japan, while the source of lineage 2B-L2c isolated since 2018 is still unclear. After importation into China in 2018, the spread of lineage 1E-L2 presented a three-stage transmission pattern from southern to northern China, whereas lineage 2B-L2c spread from a single point in western China to all the other four regions. These two transmission patterns allowed both imported lineages to spread rapidly across China during the 2018-9 rubella epidemic and eventually established endemic circulations. This study provides critical scientific data for rubella control and elimination in China and worldwide.
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Affiliation(s)
- Ying Liu
- WHO WPRO Regional Reference Measles/Rubella Laboratory, NHC Key Laboratory of Medical Virology and Viral Diseases, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, No. 155, Changbai Road, Changping District, Beijing 102206, China
| | - Zhenzhi Han
- WHO WPRO Regional Reference Measles/Rubella Laboratory, NHC Key Laboratory of Medical Virology and Viral Diseases, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, No. 155, Changbai Road, Changping District, Beijing 102206, China
- Laboratory of Virology, Beijing Key Laboratory of Etiology of Viral Diseases in Children, Capital Institute of Pediatrics, Beijing, China
| | - Chuyun Kang
- Department of Maternal and Child Health, School of Public Health, Peking University, Beijing, China
| | - Aili Cui
- WHO WPRO Regional Reference Measles/Rubella Laboratory, NHC Key Laboratory of Medical Virology and Viral Diseases, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, No. 155, Changbai Road, Changping District, Beijing 102206, China
| | - Yan Zhang
- WHO WPRO Regional Reference Measles/Rubella Laboratory, NHC Key Laboratory of Medical Virology and Viral Diseases, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, No. 155, Changbai Road, Changping District, Beijing 102206, China
| | - Li Liu
- Institute of Microbiology, Sichuan Provincial Center for Disease Control and Prevention, Chengdu City, Sichuan Province China
| | - Ying Chen
- Department of Immunization Program, Gansu Provincial Center for Disease Control and Prevention, Lanzhou City, Gansu Province China
| | - Lili Deng
- Department of Expanded Programme on Immunization, Guangxi Provincial Center for Disease Control and Prevention, Nanning City, Guangxi Province, China
| | - Hua Zhao
- Department of Microbiological Testing, Chongqing Provincial Center for Disease Control and Prevention, Chongqing, China
| | - Jun Zhou
- Institute of Virology, Jiangxi Provincial Center for Disease Control and Prevention, Nanchang City, Jiangxi Province, China
| | - Fangcai Li
- Department of Microbiological Testing, Hunan Provincial Center for Disease Control and Prevention, Changsha City, Hunan Province, China
| | - Shujie Zhou
- Department of Expanded Programme on Immunization, Anhui Provincial Center for Disease Control and Prevention, Hefei City, Anhui Province, China
| | - Daxing Feng
- Department of Expanded Programme on Immunization, Henan Provincial Center for Disease Control and Prevention, Zhengzhou City, Henan Province, China
| | - Xiaoling Tian
- Department of Immunization Program, Neimeng Provincial Center for Disease Control and Prevention, Huhehaote City, Neimeng Province, China
| | - Yan Feng
- Department of Immunization Program, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou City, Zhejiang Province, China
| | - Xiaoxian Cui
- Division of Microbiology, Shanghai Provincial Center for Disease Control and Prevention, Shanghai, China
| | - Yue Lei
- Department of Pathogenic Microbiology, Tianjin Provincial Center for Disease Control and Prevention, Tianjin, China
| | - Yan Wang
- Department of Immunization Program, Liaoning Provincial Center for Disease Control and Prevention, Shenyang City, Liaoning Province, China
| | - Fang Yuan
- Department of Virology, Ningxia Provincial Center for Disease Control and Prevention, Yinchuan City, Ningxia Province, China
| | - Lixia Fan
- Inspection and Testing Center, Qinghai Provincial Center for Disease Control and Prevention, Xining City, Qinghai Province, China
| | - Xiaomin Tang
- Department of Virology, Guizhou Provincial Center for Disease Control and Prevention, Guiyang City, Guizhou Province, China
| | - Meng Chen
- Immunization Prevention Institute, Beijing Provincial Center for Disease Control and Prevention, Beijing, China
| | - Xiaofang Peng
- Institute of Immunization, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou City, Guangdong Province, China
| | - Yu Guo
- Institute of Immunization, Hebei Provincial Center for Disease Control and Prevention, Shijiazhuang City, Hebei Province, China
| | - Hui Gao
- Department of Disease Inspection, Shanxi Provincial Center for Disease Control and Prevention, Taiyuan City, Shanxi Province, China
| | - Suting Wang
- Department of Expanded Programme on Immunization, Shandong Provincial Center for Disease Control and Prevention, Jinan City, Shandong Province, China
| | - Liqun Li
- Department of Immunization Program, Yunnan Provincial Center for Disease Control and Prevention, Kunming City, Yunnan Province, China
| | - Ting Zhang
- Virus Detection Department, Institute of Inspection and Testing, Hubei Provincial Center for Disease Control and Prevention, Wuhan City, Hubei Province, China
| | - Xiuying Deng
- Department of Expanded Programme on Immunization, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing City, Jiangsu Province, China
| | - Haiyun Chen
- Microbiological Laboratory, Testing and Inspection Institute, Hainan Provincial Center for Disease Control and Prevention, Haikou City, Hainan Province, China
| | - Shuang Wang
- Department of Viral Disease Control and Prevention, Jilin Provincial Center for Disease Control and Prevention, Changchun City, Jilin Province, China
| | - Yu Ma
- Immunization Planning Institute, Shaanxi Provincial Center for Disease Control and Prevention, Xi’an City, Shaanxi Province, China
| | - Zhen Zhu
- WHO WPRO Regional Reference Measles/Rubella Laboratory, NHC Key Laboratory of Medical Virology and Viral Diseases, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, No. 155, Changbai Road, Changping District, Beijing 102206, China
| | - Wenbo Xu
- WHO WPRO Regional Reference Measles/Rubella Laboratory, NHC Key Laboratory of Medical Virology and Viral Diseases, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, No. 155, Changbai Road, Changping District, Beijing 102206, China
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13
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Song J, Li C, Rivailler P, Wang H, Hu M, Zhu Z, Cui A, Mao N, Xu W, Zhang Y. Molecular evolution and genomic characteristics of genotype H1 of measles virus. J Med Virol 2021; 94:521-530. [PMID: 34761827 DOI: 10.1002/jmv.27448] [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] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2021] [Revised: 10/25/2021] [Accepted: 11/09/2021] [Indexed: 11/10/2022]
Abstract
Measles is one of the most infectious diseases of humans. It is caused by the measles virus (MeV) and can lead to serious illness, lifelong complications, and even death. Whole-genome sequencing (WGS) is now available to study molecular epidemiology and identify MeV transmission pathways. In the present study, WGS of 23 MeV strains of genotype H1, collected in Mainland China between 2006 and 2018, were generated and compared to 31 WGSs from the public domain to analyze genomic characteristics, evolutionary rates and date of emergence of H1 genotype. The noncoding region between M and F protein genes (M/F NCR) was the most variable region throughout the genome. Although the nucleotide substitution rate of H1 WGS was around 0.75 × 10-3 substitution per site per year, the M/F NCR had an evolutionary rate three times higher, with 2.44 × 10-3 substitution per site per year. Phylogenetic analysis identified three distinct genetic groups. The Time of the Most Recent Common Ancestor (TMRCA) of H1 genotype was estimated at approximately 1988, while the first genetic group appeared around 1995 followed by two other genetic groups in 1999-2002. Bayesian skyline plot showed that the genetic diversity of the H1 genotype remained stable even though the number of MeV cases decreased 50 times between 2014 (52 628) and 2020 (993). The current coronavirus disease 2019 (COVID-19) pandemic might have some effect on the measles epidemic and further studies will be necessary to assess the genetic diversity of the H1 genotype in a post-COVID area.
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Affiliation(s)
- Jinhua Song
- National Health Commission (NHC) Key Laboratory of Medical Virology and Viral Diseases. National Institute for Viral Disease Control and Prevention, China CDC;, WHO WPRO Regional Reference Measles/Rubella Laboratory, Beijing, China
| | - Chongshan Li
- Shanghai Municipal Center for Disease Control and Prevention, Shanghai
| | - Pierre Rivailler
- National Health Commission (NHC) Key Laboratory of Medical Virology and Viral Diseases. National Institute for Viral Disease Control and Prevention, China CDC;, WHO WPRO Regional Reference Measles/Rubella Laboratory, Beijing, China
| | - Huiling Wang
- National Health Commission (NHC) Key Laboratory of Medical Virology and Viral Diseases. National Institute for Viral Disease Control and Prevention, China CDC;, WHO WPRO Regional Reference Measles/Rubella Laboratory, Beijing, China
| | - Manli Hu
- National Health Commission (NHC) Key Laboratory of Medical Virology and Viral Diseases. National Institute for Viral Disease Control and Prevention, China CDC;, WHO WPRO Regional Reference Measles/Rubella Laboratory, Beijing, China.,Department of Public Health Laboratory Sciences, School of Public Health, Changsha Medical University, Changsha, Hunan, China
| | - Zhen Zhu
- National Health Commission (NHC) Key Laboratory of Medical Virology and Viral Diseases. National Institute for Viral Disease Control and Prevention, China CDC;, WHO WPRO Regional Reference Measles/Rubella Laboratory, Beijing, China
| | - Aili Cui
- National Health Commission (NHC) Key Laboratory of Medical Virology and Viral Diseases. National Institute for Viral Disease Control and Prevention, China CDC;, WHO WPRO Regional Reference Measles/Rubella Laboratory, Beijing, China
| | - Naiying Mao
- National Health Commission (NHC) Key Laboratory of Medical Virology and Viral Diseases. National Institute for Viral Disease Control and Prevention, China CDC;, WHO WPRO Regional Reference Measles/Rubella Laboratory, Beijing, China
| | - Wenbo Xu
- National Health Commission (NHC) Key Laboratory of Medical Virology and Viral Diseases. National Institute for Viral Disease Control and Prevention, China CDC;, WHO WPRO Regional Reference Measles/Rubella Laboratory, Beijing, China.,Center for Biosafety Mega-Science, Chinese Academy of Sciences, Beijing, China
| | - Yan Zhang
- National Health Commission (NHC) Key Laboratory of Medical Virology and Viral Diseases. National Institute for Viral Disease Control and Prevention, China CDC;, WHO WPRO Regional Reference Measles/Rubella Laboratory, Beijing, China.,Center for Biosafety Mega-Science, Chinese Academy of Sciences, Beijing, China
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Zhou S, Mao N, Zhang Y, Cui A, Zhu Z, Hu R, Xu J, Xu W. Genetic analysis of human parainfluenza virus type 4 associated with severe acute respiratory infection in children in Luohe City, Henan Province, China, during 2017-2018. Arch Virol 2021; 166:2585-2590. [PMID: 34231027 PMCID: PMC8321989 DOI: 10.1007/s00705-021-05154-3] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2021] [Accepted: 05/14/2021] [Indexed: 11/25/2022]
Abstract
During 2017–2018, nasopharyngeal aspirates (NPAs) from 627 hospitalized patients with severe acute respiratory infection at Luohe Center Hospital were tested by RT-PCR for human parainfluenza virus 4 (HPIV-4). Fourteen (2.2%) of the 627 samples were positive for HPIV-4. The complete HN gene was amplified from nine positive samples and sequenced. Sequence comparisons showed that the HPIV-4 strains circulating in the city of Luohe are closely related to HPIV-4A strains. Our study indicated that there were multiple lineages of HPIV-4 circulating in Henan Province in China during the study period. This will improve our understanding of the epidemiological and clinical characteristics of HPIV-4.
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Affiliation(s)
- Shanshan Zhou
- Inner Mongolia Laboratory of Molecular Biology, Inner Mongolia Medical University, Jinshan Avenue, Jinshan Development Zone, Hohhot, 010059, Inner Mongolia Autonomous Region, China
| | - Naiying Mao
- WHO WPRO Regional Reference Measles/Rubella Laboratory, NHC Key Laboratory of Medical Virology and Viral Diseases (National Institute for Viral Disease Control and Prevention, Chinese Centers for Disease Control and Prevention), 155# Changbai Road, Changping District, Beijing, 102200, China
| | - Yan Zhang
- WHO WPRO Regional Reference Measles/Rubella Laboratory, NHC Key Laboratory of Medical Virology and Viral Diseases (National Institute for Viral Disease Control and Prevention, Chinese Centers for Disease Control and Prevention), 155# Changbai Road, Changping District, Beijing, 102200, China
| | - Aili Cui
- WHO WPRO Regional Reference Measles/Rubella Laboratory, NHC Key Laboratory of Medical Virology and Viral Diseases (National Institute for Viral Disease Control and Prevention, Chinese Centers for Disease Control and Prevention), 155# Changbai Road, Changping District, Beijing, 102200, China
| | - Zhen Zhu
- WHO WPRO Regional Reference Measles/Rubella Laboratory, NHC Key Laboratory of Medical Virology and Viral Diseases (National Institute for Viral Disease Control and Prevention, Chinese Centers for Disease Control and Prevention), 155# Changbai Road, Changping District, Beijing, 102200, China
| | - Ruiping Hu
- Inner Mongolia Laboratory of Molecular Biology, Inner Mongolia Medical University, Jinshan Avenue, Jinshan Development Zone, Hohhot, 010059, Inner Mongolia Autonomous Region, China.
| | - Jin Xu
- Henan Province Center for Disease Control and Prevention, 105# Nongye South Road, Zhengzhou, 450000, Henan, China.
| | - Wenbo Xu
- WHO WPRO Regional Reference Measles/Rubella Laboratory, NHC Key Laboratory of Medical Virology and Viral Diseases (National Institute for Viral Disease Control and Prevention, Chinese Centers for Disease Control and Prevention), 155# Changbai Road, Changping District, Beijing, 102200, China.
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Xie Z, Xu J, Ren Y, Cui A, Wang H, Song J, Zhang Q, Hu M, Xu W, Zhang Y. Emerging Human Metapneumovirus Gene Duplication Variants in Patients with Severe Acute Respiratory Infection, China, 2017-2019. Emerg Infect Dis 2021; 27:275-277. [PMID: 33350918 PMCID: PMC7774569 DOI: 10.3201/eid2701.201043] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [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: 11/27/2022] Open
Abstract
We detected human metapneumovirus (HMPV) in 72 (7.1%) of 1,021 patients hospitalized with severe acute respiratory infection in Luohe, China, during 2017–2019. We detected HMPV most frequently in young children and less often in adults. HMPV genotype A2c variants 111 nt and 180 nt duplications predominated, demonstrating their continuing geographic spread.
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Mills S, Khehra K, Ghuman P, Au D, Koehn CL, Maynard R, Clark N, Davis C, Cui A, Hamilton CB, Lacaille D. POS0298 UNDERSERVED POPULATIONS IDENTIFY BARRIERS AND PROPOSE SOLUTIONS FOR SELF-MANAGING ARTHRITIS AND CHRONIC CONDITIONS. Ann Rheum Dis 2021. [DOI: 10.1136/annrheumdis-2021-eular.2211] [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: 11/03/2022]
Abstract
Background:Underserved populations, such as ethnic minorities, low-income adults, and Indigenous people living with arthritis are more likely to have lower health literacy, higher rates of multi-morbidity, and face challenges in accessing care1-3. Self-management support (SMS) can help to mitigate the impacts of living with arthritis4. However, we require a more in-depth understanding of the daily barriers underserved communities face in living with arthritis in order to develop effective SMS that can meaningfully improve well-being and quality of life.Objectives:The study objective was to bring together underserved people living with arthritis to identify common barriers they face in taking care of their conditions in daily life, and to identify their solutions to the identified challenges.Methods:A team of researchers from several universities, nurse practitioners, physicians, policy makers, an arthritis consumer-patient leader and our community partners (Multi-lingual Orientation Service Association for Immigrant Communities and the Portland Hotel Society Community Services Society) engaged in a Community-based Participatory and Concept Mapping (CM) study5-7 where participants from underserved communities identified major barriers they face in managing arthritis, agreed on key themes that emerged, and determined priorities for actions. This involved three key CM activities: 1) brainstorming ideas; 2) sorting and rating ideas; and 3) analyzing and interpreting concept maps8. Data was collected through face-to-face interviews and prioritized and interpreted in workshop settings.Results:Sixty-three individuals who were ethnic minorities, immigrants, refugees, low-income, over 65, and/or housing insecure and living with arthritis identified 35 common barriers and made recommendations in the areas of financial difficulties, social services, access to health services, quality of health services, lack of knowledge, and mental health. Additional funding has been sought through Community-University Engagement Support Funding to enable our community partners to prioritize the recommendations in their communities, and to develop mechanisms for implementation using already existing community structures, processes, and services.Conclusion:Persons living with arthritis in diverse underserved communities face significant health and social inequities, including lack of access to basic life necessities such as food, housing, employment, and safety, which creates barriers to self-managing arthritis and other chronic conditions in daily life. SMS for these communities needs to address these social and environmental barriers shaping capacity for self-management, and ultimately, quality of life and well-being.References:[1]Ackerman I, Busija L. Access to self-management education, conservative treatment and surgery for arthritis according to socioeconomic status. Best Pr Res Clin Rheumatol. 2012;26(5):561–83.[2]Shadmi E. Multimorbidity and equity in health. Int J Equity Heal. 2013;12(59):59.[3]Foster M, Kendall E, Dickson P, Chaboyer W, Hunter B, Gee T. Participation and chronic disease self-management: are we risking inequitable resource allocation? Aust J Prim Health. 2003;9(3):132–40.[4]Brady T, Anderson L, Kobau R. Chronic disease self-management support: public health perspectives. Front Public Heal. 2015;2(234).[5]Trochim W. An introduction to concept mapping for planning and evaluation. Eval Progr Plann. 1989;12(1):1–16.[6]Anderson L, Day K, Vandenberg A. Using a concept map as a tool for strategic planning: the healthy brain initiative. Prev Chronic Dis. 2011;8(5):A117.[7]Petrucci C, Quinlan K. Bridging the research practice gap: concept mapping as a mixed methods strategy in practice-based research and evaluation. J Soc Serv Res. 2007;34(2):25–42.[8]Kane M, Trochim W. Concept mapping for planning and evaluation. Thousand Oaks (CA): SAGE Publications; 2007.Disclosure of Interests:None declared
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Zhu Z, Cui A, Zhang Y, Mao N, Liu Y, Liu L, Deng L, Chen Y, Zhao H, Gong T, Zhou S, Li F, Lei Y, Yang Y, Wang Y, Sun Z, Feng D, Peng X, Yuan F, Du H, Feng Y, Wang C, Guo J, Huang F, Gao H, Ma Y, Chen H, Deng X, Zhang T, Li L, Wang S, Yang X, Tian X, Fan L, Niu D, Xu W. Transmission dynamics of the rubella virus circulating in China during 2010-2019: two lineage switches between genotypes 1E and 2B. Clin Infect Dis 2021; 73:1157-1164. [PMID: 33904899 DOI: 10.1093/cid/ciab339] [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] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2021] [Indexed: 11/14/2022] Open
Abstract
BACKGROUND To provide a better understanding of the progress on rubella control and elimination in China, a genetic analysis was conducted to examine the transmission pattern of the endemic rubella virus in China during 2010-2019. METHODS Total 4895 strains were obtained from 29 out of the 31 provinces in mainland of China during 2010-2019. The genotyping region of the strains were amplified, determined, and assembled. Genotyping analysis and lineage division were performed by comparisons with the World Health Organization reference strains and previously reported lineage reference strains, respectively. Further phylogenetic analyses were performed to compare the genetic relationship. RESULTS During 2010-2019, the domestic lineage 1E-L1 and multiple imported lineages of rubella viruses including 2B-L1, 1E-L2, and 2B-L2c were identified. Further analysis of the circulation trend of the different lineages indicated that two switches occurred among the lineages. The first shift was from lineage 1E-L1 to 2B-L1, which occurred around 2015-2016, followed by the lowest rubella incidence in 2017. The second shift was from lineage 2B-L1 to 1E-L2 and 2B-L2c, which occurred around 2018-2019, coinciding with rubella resurgence and the subsequent nationwide epidemic during 2018-2019. Insufficient genomic information worldwide made it impossible to trace the origin of the imported viruses in this study. CONCLUSIONS China was moving toward rubella elimination, as evidenced by the fact that previous endemic lineages were not detected. However, rubella reemerged in 2018 and 2019 due to the newly imported rubella viruses. Therefore, to realize the rubella elimination goal, joint efforts are required for all countries worldwide.
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Affiliation(s)
- Zhen Zhu
- 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
| | - Aili Cui
- 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
| | - Yan 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
| | - Naiying Mao
- 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
| | - Ying 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
| | - Li Liu
- Sichuan Provincial Center for Disease Control and Prevention, Chengdu, China
| | - Lili Deng
- Guangxi Provincial Center for Disease Control and Prevention, Nanning, China
| | - Ying Chen
- Gansu Provincial Center for Disease Control and Prevention, Lanzhou, China
| | - Hua Zhao
- Chongqing Provincial Center for Disease Control and Prevention, Chongqing, China
| | - Tian Gong
- Jiangxi Provincial Center for Disease Control and Prevention, Nanchang, China
| | - Shujie Zhou
- Anhui Provincial Center for Disease Control and Prevention, Hefei, China
| | - Fangcai Li
- Hunan Provincial Center for Disease Control and Prevention, Changsha, China
| | - Yue Lei
- Tianjin Provincial Center for Disease Control and Prevention, Tianjin, China
| | - Yuying Yang
- Shanghai Provincial Center for Disease Control and Prevention, Shanghai, China
| | - Yan Wang
- Liaoning Provincial Center for Disease Control and Prevention, Shenyang, China
| | - Zhaodan Sun
- Heilongjiang Provincial Center for Disease Control and Prevention, Haerbin, China
| | - Daxing Feng
- Henan Provincial Center for Disease Control and Prevention, Zhengzhou, China
| | - Xiaofang Peng
- Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, China
| | - Fang Yuan
- Ningxia Provincial Center for Disease Control and Prevention, Yinchuan, China
| | - Hui Du
- Hebei Provincial Center for Disease Control and Prevention, Shijiazhuang, China
| | - Yan Feng
- Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China
| | - Changyin Wang
- Shandong Provincial Center for Disease Control and Prevention, Jinan, China
| | - Jun Guo
- Guizhou Provincial Center for Disease Control and Prevention, Guiyang, China
| | - Fang Huang
- Beijing Provincial Center for Disease Control and Prevention, Beijing, China
| | - Hui Gao
- Shanxi Provincial Center for Disease Control and Prevention, Taiyuan, China
| | - Yu Ma
- Shaanxi Provincial Center for Disease Control and Prevention, Xian, China
| | - Haiyun Chen
- Hainan Provincial Center for Disease Control and Prevention, Haikou, China
| | - Xiuying Deng
- Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, China
| | - Ting Zhang
- Hubei Provincial Center for Disease Control and Prevention, Wuhan, China
| | - Liqun Li
- Yunnan Provincial Center for Disease Control and Prevention, Kunming, China
| | - Shuang Wang
- Jilin Provincial Center for Disease Control and Prevention, Changchun, China
| | - Xiuhui Yang
- Fujian Provincial Center for Disease Control and Prevention, Fuzhou, China
| | - Xiaoling Tian
- Neimeng Provincial Center for Disease Control and Prevention, Huhehaote, China
| | - Lixia Fan
- Qinghai Provincial Center for Disease Control and Prevention, Xining, China
| | - Dandan Niu
- 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
| | - Wenbo Xu
- 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
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Wang R, Zhang H, Ding Y, Zhao J, Yuan XY, Huang LR, Cui A. [Transthoracic ultrasonographic features of typical high-resolution computed tomography signs of interstitial lung diseases]. Zhonghua Jie He He Hu Xi Za Zhi 2020; 43:564-570. [PMID: 32629555 DOI: 10.3760/cma.j.cn112147-20200319-00366] [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 investigate the accuracy of bedside transthoracic lung ultrasonography (TLU) in different typical high resolution computed tomography (HRCT) signs of interstitial lung diseases (ILDs). Methods: Fifty patients first diagnosed with ILDs were enrolled from January 2016 to December 2018. There were 21 males and 29 females. The mean age was (56±14) years(rang 42-73 years). TLU was performed in inspiration for the characters of A-lines and B-lines as well as pleural at anterior, lateral and dorsal chest walls, respectively. HRCT was selected at three levels according to the upper, middle, and lower lung fields. The range of each level needing to be evaluated corresponded to the TLU scanning field one by one, and recording the signs of HRCT. Early change of ILDs was definite as the HRCT score was no more than 1 and no honeycomb was present. The correlation between A-lines, B-lines, pleural abnormal and HRCT signs was evaluted. Spearman's correlation coefficient was used to evaluate the relationship between B-lines and HRCT score. Results: The sensitivity and specificity of A-lines for HRCT normality were 83.9% and 84.9%, respectively. Coincidence rate was 84.6%. The sensitivity and specificity of B-lines for HRCT abnormality were 84.9% and 83.9%, respectively. Coincidence rate was 84.6%. Interlobular septal thickening shadow had fewer B-lines and narrower interval than other HRCT signs, while the other HRCT signs had no differences in B-lines. And the sensitivity and specificity of B-lines for detection the early change of HRCT in ILDs were 89.5% and 89.2%, respectively. Coincidence rate was 89.3%. A positive correlation was found between the number of B-lines and HRCT scores (R=0.827, P<0.001), and the width of B-lines and HRCT score (R=0.951, P<0.001). Meanwhile, a negative correlation was found between the interval of B-lines and HRCT score (R=-0.831, P<0.001). The sensitivity and specificity of TLU for HRCT pleural abnormality were 100.0% and 90.0%, respectively. Coincidence rate was 93.6%. Conclusions: TLU showed high sensitivity and specificity in finding interstitial changes of the lung. It gives a new view on the diagnostic possibilities of ILDs and may be used to evaluate the severity and the therapeutic effect of treatment. However, TLU could not differentiate HRCT signs of ILDs.
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Affiliation(s)
- R Wang
- Department of Respiratory and Critical Care Medicine, Beijing Chaoyang Hospital, Capital Medical University, Beijing Institute of Respiratory Medicine, Beijing 100020, China
| | - H Zhang
- Department of Respiratory and Critical Care Medicine, Beijing Chaoyang Hospital, Capital Medical University, Beijing Institute of Respiratory Medicine, Beijing 100020, China
| | - Y Ding
- Department of Radiology, Beijing Chaoyang Hospital, Capital Medical University, Beijing 100020, China
| | - J Zhao
- Department of Respiratory and Critical Care Medicine, Qinghai Provincial People's Hospital, Xining 810000, China
| | - X Y Yuan
- Department of Respiratory and Critical Care Medicine, Beijing Chaoyang Hospital, Capital Medical University, Beijing Institute of Respiratory Medicine, Beijing 100020, China
| | - L R Huang
- Department of Respiratory and Critical Care Medicine, Beijing Chaoyang Hospital, Capital Medical University, Beijing Institute of Respiratory Medicine, Beijing 100020, China
| | - A Cui
- Department of Respiratory and Critical Care Medicine, Beijing Chaoyang Hospital, Capital Medical University, Beijing Institute of Respiratory Medicine, Beijing 100020, China
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Cai R, Mao N, Dai J, Xiang X, Xu J, Ma Y, Li Z, Han G, Yu D, Yin J, Cui A, Zhang Y, Li H, Yu P, Guan L, Tian Y, Sun L, Li Y, Wei Y, Zhu Z, Xu W. Correction: Genetic variability of human adenovirus type 7 circulating in mainland China. PLoS One 2020; 15:e0234681. [PMID: 32516329 PMCID: PMC7282639 DOI: 10.1371/journal.pone.0234681] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022] Open
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Cai R, Mao N, Dai J, Xiang X, Xu J, Ma Y, Li Z, Han G, Yu D, Yin J, Cui A, Zhang Y, Li H, Yu P, Guan L, Tian Y, Sun L, Li Y, Wei Y, Zhu Z, Xu W. Genetic variability of human adenovirus type 7 circulating in mainland China. PLoS One 2020; 15:e0232092. [PMID: 32352995 PMCID: PMC7192419 DOI: 10.1371/journal.pone.0232092] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2020] [Accepted: 04/07/2020] [Indexed: 12/21/2022] Open
Abstract
Human adenovirus (HAdV-7) is a highly contagious pathogen that causes severe respiratory illnesses. However, the epidemic patterns and genetic variability of HAdV-7 circulating in mainland China have not been well elucidated. In this study, we used Chinese HAdV sentinel surveillance data obtained from 2012-2015 to investigate the clinical features of 122 HAdV-7-positive cases and performed amplification and sequence determination of three capsid genes (penton base, hexon, and fiber) from 69 isolated viruses covering from seven provinces of China. Additionally, we compared with data from representative sequences of 21 strains covering seven more provinces in China and 32 international HAdV-7 strains obtained from GenBank database to determine the phylogenetic, sequence variations, and molecular evolution of HAdV-7. The results indicated that HAdV-7 infection occurred throughout the year, and a high proportion of severe cases (27 cases, 22.1%) exhibited infantile pneumonia. Moreover, phylogenetic analysis showed that all HAdV-7 strains could be divided into two major evolutionary branches, including subtype 1 and subtype 2, and subtype 3 was also formed according to analysis of the penton base gene. Subtypes 1 and 2 co-circulated in China before 2008, and HAdV-7 strains currently circulating in China belonged to subtype 2, which was also the predominant strain circulating worldwide in recent years. Further sequence variation analysis indicated that three genes of HAdV-7 were relatively stable across time and geographic space, particularly for viruses within subtypes, which shared almost the same variation sites. Owing to continuous outbreaks caused by HAdV-7, resulting in increased illness severity and fatality rates in China, the establishment of a national HAdV surveillance system is urgently needed for the development of effective preventive and infection-control interventions for adenovirus respiratory infections in China.
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Affiliation(s)
- Ru Cai
- Medical School, Anhui University of Science and Technology, Huainan city, Anhui province, People’s Republic of China
| | - Naiying Mao
- NHC Key Laboratory of Medical Virology Ministry of Health, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, People’s Republic of China
| | - Jingjing Dai
- Medical School, Anhui University of Science and Technology, Huainan city, Anhui province, People’s Republic of China
- Department of Medical Laboratory, the Affiliated Huai’an No. 1 People’s Hospital of Nanjing Medical University, Huai’an city, Jiangsu province, People’s Republic of China
| | - Xingyu Xiang
- Hunan Provincial Center for Disease Control and Prevention, Changsha city, Hunan province, People’s Republic of China
| | - Jing Xu
- Shaanxi Provincial Center for Disease Control and Prevention, Xi’an city, Shaanxi province, People’s Republic of China
| | - Yingwei Ma
- Changchun Children’s Hospital, Changchun city, Jilin province, People’s Republic of China
| | - Zhong Li
- Shandong Provincial Center for Disease Control and Prevention, Jinan city, Shandong province, People’s Republic of China
| | - Guangyue Han
- Hebei Provincial Center for Disease Control and Prevention, Shijiazhuang city, Hebei province, People’s Republic of China
| | - Deshan Yu
- Gansu Provincial Center for Disease Control and Prevention, Lanzhou city, Gansu province, People’s Republic of China
| | - Jie Yin
- Yunnan Provincial Center for Disease Control and Prevention, Kunming city, Yunnan province, People’s Republic of China
| | - Aili Cui
- NHC Key Laboratory of Medical Virology Ministry of Health, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, People’s Republic of China
| | - Yan Zhang
- NHC Key Laboratory of Medical Virology Ministry of Health, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, People’s Republic of China
| | - Hong Li
- Medical School, Anhui University of Science and Technology, Huainan city, Anhui province, People’s Republic of China
- The Affiliated Hospital of Southwest Medical University, Luzhou city, Sichuan province, People’s Republic of China
| | - Pengbo Yu
- Shaanxi Provincial Center for Disease Control and Prevention, Xi’an city, Shaanxi province, People’s Republic of China
| | - Luyuan Guan
- Shaanxi Provincial Center for Disease Control and Prevention, Xi’an city, Shaanxi province, People’s Republic of China
| | - Yuling Tian
- Changchun Children’s Hospital, Changchun city, Jilin province, People’s Republic of China
| | - Liwei Sun
- Changchun Children’s Hospital, Changchun city, Jilin province, People’s Republic of China
| | - Yan Li
- Hebei Provincial Center for Disease Control and Prevention, Shijiazhuang city, Hebei province, People’s Republic of China
| | - Yamei Wei
- Hebei Provincial Center for Disease Control and Prevention, Shijiazhuang city, Hebei province, People’s Republic of China
| | - Zhen Zhu
- NHC Key Laboratory of Medical Virology Ministry of Health, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, People’s Republic of China
- * E-mail: (ZZ); (WX)
| | - Wenbo Xu
- Medical School, Anhui University of Science and Technology, Huainan city, Anhui province, People’s Republic of China
- NHC Key Laboratory of Medical Virology Ministry of Health, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, People’s Republic of China
- * E-mail: (ZZ); (WX)
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Cui A, Zhang Y, Zhu Z, Wang H, Mao N, Song J, Xu W. Classification of measles cases from 2014 to 2018: Implications for progress towards measles elimination in China. Vaccine 2020; 38:3832-3838. [PMID: 32280040 DOI: 10.1016/j.vaccine.2020.03.049] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2020] [Revised: 02/17/2020] [Accepted: 03/27/2020] [Indexed: 02/04/2023]
Abstract
Measles incidence has decreased dramatically in China due to the implement of measles-containing vaccine (MCV). However, a measles epidemic caused resurgence recently, even among vaccinated individuals. To evaluate the effectiveness of current immunization programs and discuss initiatives for the next step in measles elimination in mainland China, the characteristics of 121,969 laboratory-confirmed measles cases reported in the measles surveillance system (MSS) during 2014-2018 were analyzed according to the vaccination status of the cases in this study. Children under 2 years of age without MCV vaccination (44,424, 36.42% of all cases) and adults over 20 years of age with an unknown vaccination history (37,564, 30.80% of all cases) accounted for the majority of measles cases from 2014 to 2018. 42,425 (34.78%) of the 77,384 cases with available vaccination information were categorized as programmatically preventable. 38,840 (91.55%) of the 42,425 cases were aged ≥8 months without the MCV vaccination history. 34,959 (28.66%) cases were categorized as programmatically non-preventable, of whom 22,611 (64.68%) were too young to receive their first MCV dose, 6857 (19.61%) received their first dose and were too young to receive their second dose, 5491 (15.71%) received at least two doses of MCV. 15,933 (13.06%) of the 121,969 cases had a history of MCV vaccination. Measles virus infection in cases with an MCV vaccination history mainly occurred within the first month after MCV vaccination, especially in those who received a one-dose measles vaccination. MCV vaccination could reduce the frequencies of clinical symptoms and complications of measles cases. Our study confirmed that the current measles immunization programs used in mainland China is effective in reducing the measles incidence in China. Unvaccinated infants/children aged 8-23 months and high risk susceptible adults over 20 years of age with unknown vaccination histories should be the focus groups of measles immunization activities in China in the future.
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Affiliation(s)
- Aili Cui
- WHO WPRO Regional Reference Laboratory of Measles/Rubella and NHC Key Laboratory of Medical Virology and Viral Diseases, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, No.155, Changbai Road, Changping District, Beijing 102206, People's Republic of China
| | - Yan Zhang
- WHO WPRO Regional Reference Laboratory of Measles/Rubella and NHC Key Laboratory of Medical Virology and Viral Diseases, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, No.155, Changbai Road, Changping District, Beijing 102206, People's Republic of China.
| | - Zhen Zhu
- WHO WPRO Regional Reference Laboratory of Measles/Rubella and NHC Key Laboratory of Medical Virology and Viral Diseases, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, No.155, Changbai Road, Changping District, Beijing 102206, People's Republic of China
| | - Huiling Wang
- WHO WPRO Regional Reference Laboratory of Measles/Rubella and NHC Key Laboratory of Medical Virology and Viral Diseases, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, No.155, Changbai Road, Changping District, Beijing 102206, People's Republic of China
| | - Naiying Mao
- WHO WPRO Regional Reference Laboratory of Measles/Rubella and NHC Key Laboratory of Medical Virology and Viral Diseases, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, No.155, Changbai Road, Changping District, Beijing 102206, People's Republic of China
| | - Jinhua Song
- WHO WPRO Regional Reference Laboratory of Measles/Rubella and NHC Key Laboratory of Medical Virology and Viral Diseases, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, No.155, Changbai Road, Changping District, Beijing 102206, People's Republic of China
| | - Wenbo Xu
- WHO WPRO Regional Reference Laboratory of Measles/Rubella and NHC Key Laboratory of Medical Virology and Viral Diseases, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, No.155, Changbai Road, Changping District, Beijing 102206, People's Republic of China.
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Min X, Wang L, Cui A, Zhang C, Wang D, Liu Y, Li Z, Xu W. The nucleic acid positive rate and genotype distribution of human cytomegalovirus in human milk banks in China. Arch Virol 2020; 165:1099-1107. [PMID: 32152788 DOI: 10.1007/s00705-020-04573-y] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2019] [Accepted: 02/01/2020] [Indexed: 12/24/2022]
Abstract
To determine the status of human cytomegalovirus (HCMV) infection in human milk in China, a total of 510 human milk samples obtained from three provinces, including 211 donor human milk samples from human milk banks and 299 milk samples obtained from the mothers of premature infants, were tested to detect HCMV DNA. Overall, 46.4% of the donated milk samples and 59.2% of the samples obtained from mothers of premature infants were positive for HCMV DNA. The concentration of HCMV DNA was approximately 103 -104 copies/ml in the HCMV-DNA-positive human milk samples. Based on the nucleotide sequence of a 299- to 305-bp fragment of the glycoprotein B (gB) gene, three HCMV genotypes (gB1, gB2 and gB3) were identified in human milk samples. Mixed infection with genotypes gB1 and gB3 was also found in four milk samples from mothers. Genotype gB1 was the predominant genotype in the HCMV-DNA-positive human milk samples, and it could be subdivided into three lineages. There were also some characteristic nucleotides and amino acids in the three HCMV genotypes, which were helpful for distinguishing the genotypes. This is the first study to clarify the HCMV infection status and genetic characteristics of human milk obtained from banks in China, which will be helpful in preventing postnatal HCMV infections and ensuring the safety of human milk banks.
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Affiliation(s)
- Xiaoyu Min
- Medical School, Anhui University of Science and Technology, Huainan, 232001, Anhui, People's Republic of China
| | - Lin Wang
- Department of Pediatrics, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, 100730, People's Republic of China
| | - Aili Cui
- NHC Key Laboratory of Medical Virology and Viral Diseases (National Institute for Viral Disease Control and Prevention, Chinese Centers for Disease Control and Prevention), WHO WPRO Regional Reference Measles/Rubella Laboratory, Beijing, 102206, People's Republic of China
| | - Chunli Zhang
- Department of Neonatal Medicine, Inner Mongolia People's Hospital, Huhhot, 010017, People's Republic of China
| | - Dan Wang
- Department of Obstetrics and Gynecology, Southwest Hospital, The Third Medical University (Army Medical University), Chongqing, 400038, People's Republic of China
| | - Ying Liu
- NHC Key Laboratory of Medical Virology and Viral Diseases (National Institute for Viral Disease Control and Prevention, Chinese Centers for Disease Control and Prevention), WHO WPRO Regional Reference Measles/Rubella Laboratory, Beijing, 102206, People's Republic of China
| | - Zhenghong Li
- Department of Pediatrics, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, 100730, People's Republic of China.
| | - Wenbo Xu
- Medical School, Anhui University of Science and Technology, Huainan, 232001, Anhui, People's Republic of China. .,NHC Key Laboratory of Medical Virology and Viral Diseases (National Institute for Viral Disease Control and Prevention, Chinese Centers for Disease Control and Prevention), WHO WPRO Regional Reference Measles/Rubella Laboratory, Beijing, 102206, People's Republic of China.
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23
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Mao N, Zhu Z, Zhu S, Yu D, Xu J, Cui A, Cao L, Guo J, Wang H, Wang D, Yan D, Song Y, Yang Q, Jiang Z, Zhang H, Shu C, Yang M, Wang Y, Xiao J, Han Z, Zhang Y, Zhang Y, Xu W. Antibody Response to COVID-19 Virus — Heilongjiang Province and Gansu Province, China, 2020. China CDC Wkly 2020; 2:645-650. [PMID: 34594729 PMCID: PMC8422248 DOI: 10.46234/ccdcw2020.180] [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] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2020] [Accepted: 08/06/2020] [Indexed: 11/24/2022] Open
Abstract
What is already known about this topic? Coronavirus disease 2019 (COVID-19) has become a global pandemic, while the profile of antibody response against the COVID-19 virus has not been well clarified. What is added by this report? In this study, 210 serum samples from 160 confirmed COVID-19 cases with different disease severities were recruited. The IgM, IgA, IgG, and neutralizing antibodies (NAb) against COVID-19 virus were determined. Our findings indicated that four antibodies could be detectable at low levels within 2 weeks of disease onset, then rapidly increasing and peaking from the 3rd to 5th Weeks. NAb decreased between 5th and 9th Weeks, and a higher IgM/IgA level was observed in the groups with mild/moderate severity within 2 weeks (p<0.05), while all 4 types of antibodies were higher in the group with severe/critical severity after 4 weeks (p<0.05).
What are the implications for public health practice? Our study on the dynamics of serological antibody responses against COVID-19 virus among COVID-19 patients complements the recognition regarding the humoral immune response to COVID-19 virus infection. The findings will help in the interpretation of antibody detection results for COVID-19 patients and be beneficial for the evaluation of vaccination effects.
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Affiliation(s)
- Naiying Mao
- 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
| | - Zhen Zhu
- 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
| | - Shuangli Zhu
- 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
| | - Deshan Yu
- Gansu Provincial Center for Disease Control and Prevention, Lanzhou, Gansu, China
| | - Jun Xu
- Heilongjiang Provincial Center for Disease Control and Prevention, Haerbin, Heilongjiang, China
| | - Aili Cui
- 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
| | - Lei Cao
- 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
| | - Jinyuan Guo
- 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
| | - Huiling Wang
- 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
| | - Dongyan Wang
- 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
| | - Dongmei Yan
- 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
| | - Yang Song
- 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
| | - Qian Yang
- 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
| | - Zhongyi Jiang
- Gansu Provincial Center for Disease Control and Prevention, Lanzhou, Gansu, China
| | - Hui Zhang
- Gansu Provincial Center for Disease Control and Prevention, Lanzhou, Gansu, China
| | - Chang Shu
- Heilongjiang Provincial Center for Disease Control and Prevention, Haerbin, Heilongjiang, China
| | - Ming Yang
- Heilongjiang Provincial Center for Disease Control and Prevention, Haerbin, Heilongjiang, China
| | - Yanhai Wang
- 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
| | - Jinbo Xiao
- 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
| | - Zhenzhi Han
- 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
| | - Yong 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
| | - Yan 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
- Yan Zhang,
| | - Wenbo Xu
- 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
- Wenbo Xu,
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24
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Ji T, Han T, Tan X, Zhu S, Yan D, Yang Q, Song Y, Cui A, Zhang Y, Mao N, Xu S, Zhu Z, Niu D, Zhang Y, Xu W. Surveillance, epidemiology, and pathogen spectrum of hand, foot, and mouth disease in mainland of China from 2008 to 2017. Biosafety and Health 2019. [DOI: 10.1016/j.bsheal.2019.02.005] [Citation(s) in RCA: 12] [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: 01/11/2023] Open
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25
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Song J, Wang H, Ng TI, Cui A, Zhu S, Huang Y, Sun L, Yang Z, Yu D, Yu P, Zhang H, Zhang Y, Xu W. Sequence Analysis of the Fusion Protein Gene of Human Respiratory Syncytial Virus Circulating in China from 2003 to 2014. Sci Rep 2018; 8:17618. [PMID: 30514963 PMCID: PMC6279739 DOI: 10.1038/s41598-018-35894-3] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2018] [Accepted: 11/09/2018] [Indexed: 11/09/2022] Open
Abstract
The human respiratory syncytial virus (HRSV) fusion (F) protein is important for HRSV infection, but few studies have examined the genetic diversity of the F gene from Chinese samples. In this study, a total of 330 HRSV F sequences collected from different regions of China between 2003 and 2014 were analyzed to understand their genetic characteristics. In addition, these sequences were compared with 1150 HRSV F sequences in Genbank from 18 other countries. In phylogenetic analysis, Chinese HRSV F sequences sorted into a number of clusters containing sequences from China as well as other countries. F sequences from different genotypes (as determined based on the G gene sequences) within a HRSV subgroup could be found in the same clusters in phylogenetic trees generated based on F gene sequences. Amino acid analysis showed that HRSV F sequences from China and other countries were highly conserved. Of interest, F protein sequences from all Chinese samples were completely conserved at the palivizumab binding site, thus predicting the susceptibility of these strains to this neutralizing antibody. In conclusion, HRSV F sequences from China between 2003 and 2014, similar to those from other countries, were highly conserved.
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Affiliation(s)
- Jinhua Song
- WHO WPRO Regional Reference Measles/Rubella Laboratory and Key Laboratory of Medical Virology, National Health Commission of the People's Republic of China, National Institute for Viral Disease Control and Prevention, China Center for Disease Control and Prevention, Beijing, People's Republic of China
| | - Huiling Wang
- WHO WPRO Regional Reference Measles/Rubella Laboratory and Key Laboratory of Medical Virology, National Health Commission of the People's Republic of China, National Institute for Viral Disease Control and Prevention, China Center for Disease Control and Prevention, Beijing, People's Republic of China
| | | | - Aili Cui
- WHO WPRO Regional Reference Measles/Rubella Laboratory and Key Laboratory of Medical Virology, National Health Commission of the People's Republic of China, National Institute for Viral Disease Control and Prevention, China Center for Disease Control and Prevention, Beijing, People's Republic of China
| | - Shuangli Zhu
- WHO WPRO Regional Reference Measles/Rubella Laboratory and Key Laboratory of Medical Virology, National Health Commission of the People's Republic of China, National Institute for Viral Disease Control and Prevention, China Center for Disease Control and Prevention, Beijing, People's Republic of China
| | - Yanzhi Huang
- Jilin Children's Medical Center, Children's Hospital of Changchun, Changchun, People's Republic of China
| | - Liwei Sun
- Jilin Children's Medical Center, Children's Hospital of Changchun, Changchun, People's Republic of China
| | - Zifeng Yang
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, First Affiliated Hospital of Guangzhou Medical University, Guangzhou, Guangdong, People's Republic of China
| | - Deshan Yu
- Gansu Provincial Centers for Disease Control and Prevention, Lanzhou, People's Republic of China
| | - Pengbo Yu
- Shaanxi Provincial Centers for Disease Control and Prevention, Xian, People's Republic of China
| | - Hong Zhang
- Hunan Provincial Centers for Disease Control and Prevention, Changsha, People's Republic of China
| | - Yan Zhang
- WHO WPRO Regional Reference Measles/Rubella Laboratory and Key Laboratory of Medical Virology, National Health Commission of the People's Republic of China, National Institute for Viral Disease Control and Prevention, China Center for Disease Control and Prevention, Beijing, People's Republic of China.
| | - Wenbo Xu
- WHO WPRO Regional Reference Measles/Rubella Laboratory and Key Laboratory of Medical Virology, National Health Commission of the People's Republic of China, National Institute for Viral Disease Control and Prevention, China Center for Disease Control and Prevention, Beijing, People's Republic of China.
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26
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Cui A, Rivailler P, Zhu Z, Deng X, Hu Y, Wang Y, Li F, Sun Z, He J, Si Y, Tian X, Zhou S, Lei Y, Zheng H, Rota PA, Xu W. Evolutionary analysis of mumps viruses of genotype F collected in mainland China in 2001-2015. Sci Rep 2017; 7:17144. [PMID: 29215070 PMCID: PMC5719434 DOI: 10.1038/s41598-017-17474-z] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [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: 09/04/2017] [Accepted: 11/26/2017] [Indexed: 01/29/2023] Open
Abstract
Mumps incidence in mainland China remains at a high level. Genotype F has been the predominant genotype of mumps virus (MuV) in the last 20 years in mainland China. To better understand the genetic characteristics of MuV in China, the sequences of the Small Hydrophobic (SH), Hemagglutinin-Neuraminidase (HN) and Fusion (F) genes of MuVs of genotype F collected during 2001-2015 were determined. The evolutionary rates of the HN and F genes were similar (0.5 × 10-3 substitutions/site/year) whereas the SH gene evolutionary rate was three times faster. The most recent common ancestor of genotype F was traced back to 1980. Four lineages were identified within HN and F MuV sequences. A phylogeographic analysis indicated that the genotype F viruses originally spread from the Liaoning and Shandong provinces followed by a spread to the South and East of China. This study provides important genetic baseline data for the development of prevention and control measures of mumps.
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Affiliation(s)
- Aili Cui
- WHO WPRO Regional Reference Measles/Rubella Laboratory and Key Laboratory of Medical Virology Ministry of Health, National Institute for Viral Disease Control and Prevention, China Center for Disease Control and Prevention, No. 155, Changbai Road, Changping District, Beijing, 102206, People's Republic of China
| | - Pierre Rivailler
- WHO WPRO Regional Reference Measles/Rubella Laboratory and Key Laboratory of Medical Virology Ministry of Health, National Institute for Viral Disease Control and Prevention, China Center for Disease Control and Prevention, No. 155, Changbai Road, Changping District, Beijing, 102206, People's Republic of China
- Division of Viral Diseases, Centers for Disease Control and Prevention, 1600 Clifton Road Atlanta, Atlanta, GA, 30329-4027, United States
| | - Zhen Zhu
- WHO WPRO Regional Reference Measles/Rubella Laboratory and Key Laboratory of Medical Virology Ministry of Health, National Institute for Viral Disease Control and Prevention, China Center for Disease Control and Prevention, No. 155, Changbai Road, Changping District, Beijing, 102206, People's Republic of China
| | - Xiuying Deng
- Jiangsu Provincial Centers for Disease Control and Prevention, No. 172, Jiangsu Road, Nanjing, 210009, The People's Republic of China
| | - Ying Hu
- Jiangsu Provincial Centers for Disease Control and Prevention, No. 172, Jiangsu Road, Nanjing, 210009, The People's Republic of China
| | - Yan Wang
- Liaoning Provincial Centers for Disease Control and Prevention, No. 242, Shayang Road, Heping District, Shenyang, 110005, The People's Republic of China
| | - Fangcai Li
- Hunan Provincial Centers for Disease Control and Prevention, No. 450, Furongzhongluyiduan Road, Changsha, 410005, The People's Republic of China
| | - Zhaodan Sun
- Heilongjiang Provincial Centers for Disease Control and Prevention, No. 40, Youfang Road, Xiangfang District, Ha'erbin, 150030, The People's Republic of China
| | - Jilan He
- Sichuan Provincial Centers for Disease Control and Prevention, No. 6, Zhongxue Road, Chengdu, 610041, The People's Republic of China
| | - Yuan Si
- Shannxi Provincial Centers for Disease Control and Prevention, No. 3, Hepingwenwaijiandong Road, Xi'an, 710054, The People's Republic of China
| | - Xiaoling Tian
- Inner Mongolia Autonomous Region Center for Disease Control and Prevention, No. 50, E'erduosida Road, Huhehaote, 010031, The People's Republic of China
| | - Shujie Zhou
- Anhui Provincial Centers for Disease Control and Prevention, No. 12560, Fanhuadadao Road, Hefei, 230601, The People's Republic of China
| | - Yake Lei
- Hubei Provincial Centers for Disease Control and Prevention, No.6, Zhuodaoquanbeilu Road, Hongshan District, Wuhan, 430079, The People's Republic of China
| | - Huanying Zheng
- Guangdong Provincial Centers for Disease Control and Prevention, No. 176, Xingangxi Road, Guangzhou, 510300, The People's Republic of China
| | - Paul A Rota
- Division of Viral Diseases, Centers for Disease Control and Prevention, 1600 Clifton Road Atlanta, Atlanta, GA, 30329-4027, United States.
| | - Wenbo Xu
- WHO WPRO Regional Reference Measles/Rubella Laboratory and Key Laboratory of Medical Virology Ministry of Health, National Institute for Viral Disease Control and Prevention, China Center for Disease Control and Prevention, No. 155, Changbai Road, Changping District, Beijing, 102206, People's Republic of China.
- Medical school, Anhui University of Science and Technology, Huainan, 232001, People's Republic of China.
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27
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Song J, Wang H, Shi J, Cui A, Huang Y, Sun L, Xiang X, Ma C, Yu P, Yang Z, Li Q, Ng TI, Zhang Y, Zhang R, Xu W. Emergence of BA9 genotype of human respiratory syncytial virus subgroup B in China from 2006 to 2014. Sci Rep 2017; 7:16765. [PMID: 29196726 PMCID: PMC5711796 DOI: 10.1038/s41598-017-17055-0] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2017] [Accepted: 11/21/2017] [Indexed: 01/10/2023] Open
Abstract
A study was conducted to investigate the circulation of HRSV subgroup B (HRSVB) in China in recent years. HRSVB sequences from 365 samples collected in 1991, 2004 and 2008-2014 in China, together with 332 Chinese HRSVB sequences obtained from GenBank were analyzed to determine the geographic and yearly distribution of HRSVB. Phylogenetic analysis revealed these HRSVB sequences clustered into 4 genotypes with different frequencies: BA (83%), CB1 (11%), SAB (3.0%) and GB3 (0.7%). Between 2005 and 2013, there was a co-circulation of BA and non-BA genotypes in China. Genotypes BA9 and BA10 were two of the main BA genotypes detected in this study. Genotype BA9 was first detected in China in 2006 and became the predominant HRSVB genotype circulating in China from 2008 to 2014. Three different lineages were detected for both genotypes BA9 and BA10. Time to the most recent common ancestor for genotypes BA9 and BA10 was estimated for years 1997 and 1996, respectively. Results of this study not only contribute to the understanding of the circulation pattern, but also the phylogenetic pattern and evolution of HRSVB in China from 1991 to 2014.
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Affiliation(s)
- Jinhua Song
- WHO WPRO Regional Reference Measles/Rubella Laboratory and Key Laboratory of Medical Virology, Ministry of Health, National Institute for Viral Disease Control and Prevention, China Center for Disease Control and Prevention, Beijing, People's Republic of China
| | - Huiling Wang
- WHO WPRO Regional Reference Measles/Rubella Laboratory and Key Laboratory of Medical Virology, Ministry of Health, National Institute for Viral Disease Control and Prevention, China Center for Disease Control and Prevention, Beijing, People's Republic of China
| | - Jing Shi
- WHO WPRO Regional Reference Measles/Rubella Laboratory and Key Laboratory of Medical Virology, Ministry of Health, National Institute for Viral Disease Control and Prevention, China Center for Disease Control and Prevention, Beijing, People's Republic of China.,Lu Juan Community Health Center of Daxing region, Beijing, People's Republic of China
| | - Aili Cui
- WHO WPRO Regional Reference Measles/Rubella Laboratory and Key Laboratory of Medical Virology, Ministry of Health, National Institute for Viral Disease Control and Prevention, China Center for Disease Control and Prevention, Beijing, People's Republic of China
| | - Yanzhi Huang
- Jilin Children's Medical Center, Children's Hospital of Changchun, Changchun, People's Republic of China
| | - Liwei Sun
- Jilin Children's Medical Center, Children's Hospital of Changchun, Changchun, People's Republic of China
| | - Xingyu Xiang
- Hunan Provincial Centers for Disease Control and Prevention, Changsha, People's Republic of China
| | - Chaofeng Ma
- Xian Center for Disease Control and Prevention, Xian, People's Republic of China
| | - Pengbo Yu
- Shaanxi Provincial Centers for Disease Control and Prevention, Xian, People's Republic of China
| | - Zifeng Yang
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, First Affiliated Hospital of Guangzhou Medical University, Guangzhou, People's Republic of China
| | - Qi Li
- Hebei Provincial Centers for Disease Control and Prevention, Shijiazhuang, People's Republic of China
| | | | - Yan Zhang
- WHO WPRO Regional Reference Measles/Rubella Laboratory and Key Laboratory of Medical Virology, Ministry of Health, National Institute for Viral Disease Control and Prevention, China Center for Disease Control and Prevention, Beijing, People's Republic of China.
| | - Rongbo Zhang
- Medical College, Anhui University of Science & Technology, Huainan, People's Republic of China.
| | - Wenbo Xu
- WHO WPRO Regional Reference Measles/Rubella Laboratory and Key Laboratory of Medical Virology, Ministry of Health, National Institute for Viral Disease Control and Prevention, China Center for Disease Control and Prevention, Beijing, People's Republic of China. .,Medical College, Anhui University of Science & Technology, Huainan, People's Republic of China.
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28
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Cui A, Jin Z, Gao Z, Jin M, Zhu L, Li L, Jin C, An Y. Downregulation of miR-493 promoted melanoma proliferation by suppressing IRS4 expression. Tumour Biol 2017; 39:1010428317701640. [PMID: 28475006 DOI: 10.1177/1010428317701640] [Citation(s) in RCA: 17] [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] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
Accumulating evidence indicated that aberrantly expressed microRNAs play critical roles in the initiation and progression of human cancers. However, the underlying functions of miR-493 in human melanoma remains unknown. Here, our study found that miR-493 expression was downregulated in human melanoma tissues and cells. Overexpression of miR-493 suppressed cell proliferation and cell cycle in human melanoma cell line A375. IRS4 was defined as a target for downregulation by miR-493 and was confirmed by luciferase assay. We also found that knockdown of IRS4 counteracted the proliferation promotion by miR-493 inhibitor. In summary, these results demonstrated that miR-493 acts as a tumor suppressor and inhibits cell proliferation and cell cycle in human melanoma by directly targeting IRS4.
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Affiliation(s)
- Aili Cui
- 1 Department of Dermatology, Yanbian University Hospital, Yanji, Jilin Province, P.R. China.,2 Department of Pharmaceutics, Institute of Materia Medica, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, P.R. China
| | - Zhehu Jin
- 1 Department of Dermatology, Yanbian University Hospital, Yanji, Jilin Province, P.R. China
| | - Zhonggao Gao
- 2 Department of Pharmaceutics, Institute of Materia Medica, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, P.R. China
| | - Mingji Jin
- 2 Department of Pharmaceutics, Institute of Materia Medica, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, P.R. China
| | - Lianhua Zhu
- 1 Department of Dermatology, Yanbian University Hospital, Yanji, Jilin Province, P.R. China
| | - Lianhua Li
- 1 Department of Dermatology, Yanbian University Hospital, Yanji, Jilin Province, P.R. China
| | - Chenglong Jin
- 1 Department of Dermatology, Yanbian University Hospital, Yanji, Jilin Province, P.R. China
| | - Yinghua An
- 1 Department of Dermatology, Yanbian University Hospital, Yanji, Jilin Province, P.R. China
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29
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Oliveros A, Cho CH, Cui A, Choi S, Lindberg D, Hinton D, Jang MH, Choi DS. Adenosine A 2A receptor and ERK-driven impulsivity potentiates hippocampal neuroblast proliferation. Transl Psychiatry 2017; 7:e1095. [PMID: 28418405 PMCID: PMC5416704 DOI: 10.1038/tp.2017.64] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/01/2016] [Revised: 01/04/2017] [Accepted: 02/01/2017] [Indexed: 12/26/2022] Open
Abstract
Dampened adenosine A2A receptor (A2AR) function has been implicated in addiction through enhancement of goal-directed behaviors. However, the contribution of the A2AR to the control of impulsive reward seeking remains unknown. Using mice that were exposed to differential reward of low rate (DRL) schedules during Pavlovian-conditioning, second-order schedule discrimination, and the 5-choice serial reaction time task (5-CSRTT), we demonstrate that deficits of A2AR function promote impulsive responses. Antagonism of the A2AR lowered ERK1 and ERK2 phosphorylation in the dorsal hippocampus (dHip) and potentiated impulsivity during Pavlovian-conditioning and the 5-CSRTT. Remarkably, inhibition of ERK1 and ERK2 phosphorylation by U0126 in the dHip prior to Pavlovian-conditioning exacerbated impulsive reward seeking. Moreover, we found decreased A2AR expression, and reduced ERK1 and ERK2 phosphorylation in the dHip of equilibrative nucleoside transporter type 1 (ENT1-/-) null mice, which displayed exacerbated impulsivity. To determine whether impulsive response behavior is associated with hippocampal neuroblast development, we investigated expression of BrdU+ and doublecortin (DCX+) following 5-CSRTT testing. These studies revealed that impulsive behavior driven by inhibition of the A2AR is accompanied by increased neuroblast proliferation in the hippocampus.
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Affiliation(s)
- A Oliveros
- Department of Molecular Pharmacology and Experimental Therapeutics, Mayo Clinic College of Medicine, Rochester, MN, USA
| | - C H Cho
- Department of Neurologic Surgery, Mayo Clinic College of Medicine, Rochester, MN, USA
| | - A Cui
- Department of Molecular Pharmacology and Experimental Therapeutics, Mayo Clinic College of Medicine, Rochester, MN, USA
| | - S Choi
- Department of Molecular Pharmacology and Experimental Therapeutics, Mayo Clinic College of Medicine, Rochester, MN, USA
| | - D Lindberg
- Neurobiology of Disease Program, Mayo Clinic College of Medicine, Rochester, MN, USA
| | - D Hinton
- Neurobiology of Disease Program, Mayo Clinic College of Medicine, Rochester, MN, USA
| | - M-H Jang
- Department of Neurologic Surgery, Mayo Clinic College of Medicine, Rochester, MN, USA,Department of Biochemistry and Molecular Biology, Mayo Clinic College of Medicine, Rochester, MN, USA
| | - D-S Choi
- Department of Molecular Pharmacology and Experimental Therapeutics, Mayo Clinic College of Medicine, Rochester, MN, USA,Neurobiology of Disease Program, Mayo Clinic College of Medicine, Rochester, MN, USA,Department of Psychiatry and Psychology, Mayo Clinic College of Medicine, Rochester, MN, USA,Department of Molecular Pharmacology and Experimental Therapeutics, Mayo Clinic College of Medicine, 200 First Street SW, Rochester, MN 55905, USA.
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30
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Cui A, Zhu Z, Hu Y, Deng X, Sun Z, Zhang Y, Mao N, Xu S, Fang X, Gao H, Si Y, Lei Y, Zheng H, He J, Wu H, Xu W. Mumps Epidemiology and Mumps Virus Genotypes Circulating in Mainland China during 2013-2015. PLoS One 2017; 12:e0169561. [PMID: 28085897 PMCID: PMC5234798 DOI: 10.1371/journal.pone.0169561] [Citation(s) in RCA: 46] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2016] [Accepted: 12/19/2016] [Indexed: 11/18/2022] Open
Abstract
With the implementation of mumps virus (MuV) vaccination in the expanded program on immunization (EPI) in mainland China since 2008, the incidence of mumps has decreased, and the natural epidemic pattern of mumps has slightly changed during 2013-2015. The two epidemic peaks (April-July and November-December) became less obvious than those observed from 2004 to 2012. Children and adolescents younger than 15, particularly in the five-to-nine-year-old age group, remain the target group and should be the focus of high-quality immunization activities in mainland China. However, it was also found that the incidence and reported cases of mumps decreased in each age group during 2013-2015, particularly in the five-to-nine-year-old and ten-to-fourteen-year-old age groups. The proportion of mumps cases among adults in some provinces also increased. Unlike the changes in the epidemiological characteristics of mumps affected by vaccination, the data of MuV virology surveillance indicated that most of the MuV transmission chains have not yet been effectively interrupted, and MuV remains a natural epidemic pattern in mainland China. In the MuV virology surveillance, 194 MuV strains during 2013-2015 were isolated from 10 of 31 provinces in mainland China. Based on the phylogenetic analysis of the small hydrophobic (SH) gene, both genotype F (99.0%) and G (1.0%) were identified, and genotype F was still the predominant genotype continuously circulating in mainland China. Representative genotype F and G strains isolated in China from 1995 to 2012 were selected for further analysis. The results indicated that there were multiple transmission chains within genotype F, with no obvious geographical or time differences. The high genetic diversity of genotype F strains could be a result of the continuous transmission and evolution of the MuV in mainland China. Genotype G was also detected in four provinces in mainland China. Because of the limited epidemiological data, it was uncertain whether the genotype G MuV strains found in 2011 and 2013 were imported from other countries. Therefore, combined high-quality epidemiological and virological surveillance is necessary for mumps control; it can also be used to observe the changes in epidemiological characteristics and viral transmission of mumps over time after mumps-containing vaccine (MuCV) implementation and to provide a comprehensive epidemiological and genetic baseline for mumps elimination in mainland China.
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Affiliation(s)
- Aili Cui
- WHO WPRO Regional Reference Measles/Rubella Laboratory and Key Laboratory of Medical Virology Ministry of Health, National Institute for Viral Disease Control and Prevention, Beijing, People’s Republic of China
| | - Zhen Zhu
- WHO WPRO Regional Reference Measles/Rubella Laboratory and Key Laboratory of Medical Virology Ministry of Health, National Institute for Viral Disease Control and Prevention, Beijing, People’s Republic of China
| | - Ying Hu
- Jiangsu Provincial Centers for Disease Control and Prevention, Nanjing, People’s Republic of China
| | - Xiuying Deng
- Jiangsu Provincial Centers for Disease Control and Prevention, Nanjing, People’s Republic of China
| | - Zhaodan Sun
- Heilongjiang Provincial Centers for Disease Control and Prevention, Ha’erbin, People’s Republic of China
| | - Yan Zhang
- WHO WPRO Regional Reference Measles/Rubella Laboratory and Key Laboratory of Medical Virology Ministry of Health, National Institute for Viral Disease Control and Prevention, Beijing, People’s Republic of China
| | - Naiying Mao
- WHO WPRO Regional Reference Measles/Rubella Laboratory and Key Laboratory of Medical Virology Ministry of Health, National Institute for Viral Disease Control and Prevention, Beijing, People’s Republic of China
| | - Songtao Xu
- WHO WPRO Regional Reference Measles/Rubella Laboratory and Key Laboratory of Medical Virology Ministry of Health, National Institute for Viral Disease Control and Prevention, Beijing, People’s Republic of China
| | - Xueqiang Fang
- Shandong Provincial Centers for Disease Control and Prevention, Jinan, People’s Republic of China
| | - Hui Gao
- Shanxi Provincial Centers for Disease Control and Prevention, Taiyuan, People’s Republic of China
| | - Yuan Si
- Shannxi Provincial Centers for Disease Control and Prevention, Xi’an, People’s Republic of China
| | - Yake Lei
- Hubei Provincial Centers for Disease Control and Prevention, Wuhan, People’s Republic of China
| | - Huanying Zheng
- Guangdong Provincial Centers for Disease Control and Prevention, Guangzhou, People’s Republic of China
| | - Jilan He
- Sichuan Provincial Centers for Disease Control and Prevention, Chengdu, People’s Republic of China
| | - Hongwei Wu
- Affiliated hospital of Beihua University, Jilin, People’s Republic of China
- * E-mail: (WX); (HW)
| | - Wenbo Xu
- WHO WPRO Regional Reference Measles/Rubella Laboratory and Key Laboratory of Medical Virology Ministry of Health, National Institute for Viral Disease Control and Prevention, Beijing, People’s Republic of China
- * E-mail: (WX); (HW)
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Zhu Z, Cai R, Cui A, Zhang Y, Mao N, Xu S, Ji Y, Wang H, Zhang S, Xu W, Wu H. Dynamic Change in Variation of Rubella Viruses Circulating in Mainland China. Bing Du Xue Bao 2017; 33:67-76. [PMID: 30702824] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/09/2023]
Abstract
We wished to study the dynamic change in variation of rubella viruses circulating during 1999-2015 in mainland China at the molecular level. Molecular evolution of Chinese rubella viruses collected during 1999 ~ 2015 was analyzed according to a surveillance database of measles/rubella laboratory networks in China. A total of 1737 rubella viruses were obtained from 20 of 31 provinces (except Xinjiang and Tibet) during 1999 ~ 2015. Four genotypes (1E, IF, 2A, 2B) were detected. The genotype-1E rubella virus was detected first in 2001. Subsequently, genotype 1E became the predominant genotype circulating during 2001~2013, and could be divided into two closely related clusters (A (2004-2015) and B (2001-2009)). However, the detection rate of the genotype-1E rubella virus decreased year-by-year from 2011, and reached the lowest level (1. 3%) in 2015. The genotype-1F rubella virus was restricted geographically to China, and no longer found after 2002; presumably its circulation in China was interrupted. All genotype-2A rubella viruses were derived from vaccine-related cases. At least four genotypes of 2B rubella viruses (lineage 1 ~ 4) circulated in mainland China during 2000 ~ 2015. The genotype-2B rubella virus was detected sporadically and was in a weak position until 2010. However, the detection rate of imported genotype-2B rubella viruses (lineage 3) was increased and became the predominant genotype during 2014~2015. Through the study of 16 consecutive years in mainland China, the evolution and epidemic situation of the rubella virus was obtained to aid virology surveillance for rubella control in China.
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Xu S, Chen M, Zheng H, Wang H, Chen M, Zhou J, Shuang W, Yu P, Ma C, He J, Feng D, Zhen Z, Yan Z, Naiying M, Cui A, Wu Q, Qi M, Li C, Xu X, Xu W. Nationwide distribution of varicella-zoster virus clades in China. BMC Infect Dis 2016; 16:542. [PMID: 27717328 PMCID: PMC5054591 DOI: 10.1186/s12879-016-1863-x] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2015] [Accepted: 09/22/2016] [Indexed: 12/18/2022] Open
Abstract
Background In 2010, a universal nomenclature for varicella-zoster virus (VZV) clades was established, which is very useful in the monitoring of viral evolution, recombination, spread and genetic diversity. Currently, information about VZV clades has been disclosed worldwide, however, there are limited data regarding the characterization of circulating VZV clades in China, even where varicella remains widely epidemic. Methods From 2008 to 2012, clinical samples with varicella or zoster were collected in General Hospital in eight provinces and analyzed by PCR, restriction endonuclease digestion and sequencing. The viral clades were determined by analysis of five single nucleotide polymorphisms (SNPs) within the 447-bp fragment of open reading frame (ORF) 22, and the restriction fragment length polymorphisms (RFLPs) of ORF 38 (PstI), ORF 54 (BglI) and ORF 62 (SmaI) were evaluated to understand genetic diversity of VZV and determinate varicella vaccine adverse event (VVAE). Results Seventy-seven varicella and 11 zoster samples were identified as being positive for VZV. The five SNPs profile showed that the majority of VZV strains belonged to clade 2, but clade 5 and clade 4 strains were also found in Guangdong. The RFLPs analysis of the DNA fragments of ORF 38, 54 and 62 showed that 85 of these samples were characterized as PstI + BglI + SamI-, and the remaining three VZV strains from varicella patients were characterized as PstI-BglI + SamI+ which is the genetic profile of VVAEs. Conclusions The study suggested that the predominant clade 2 VZVs had been continually circulating since at least the 1950s in China. Nearly all VZV strains except VVAEs possessed the genetic profile of PstI + BglI + Sam-. However, the other clades were also found to be co-circulating with clade 2, especially in the border regions. These results highlighted the need for the constant and broad use of virologic surveillance to provide an important genetic baseline for varicella control and vaccination programs in China.
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Affiliation(s)
- Songtao Xu
- National Institute for Viral Disease Control and Prevention, China Center for Disease Control and Prevention, Beijing City, 102206, China
| | - Mukai Chen
- The First Affiliated Hospital of Sun Yat-sen University, Guangzhou City, 510080, Guangdong Province, China
| | - Huanying Zheng
- Guangdong Center for Disease Control and Prevention, Guangzhou City, 510300, Guangdong Province, China
| | - Haiyan Wang
- Shandong Center for Disease Control and Prevention, Jinan City, 250014, Shandong Province, China
| | - Meng Chen
- Beijing Center for Disease Control and Prevention, Beijing City, 100021, China
| | - Jianhui Zhou
- Jilin province Center for Disease Control and Prevention, Changchun City, 130021, Jilin Province, China
| | - Wang Shuang
- Jilin province Center for Disease Control and Prevention, Changchun City, 130021, Jilin Province, China
| | - Pengbo Yu
- Shaanxi Center for Disease Control and Prevention, Xian City, 710012, Shannxi Province, China
| | - Chaofeng Ma
- Xi'an city Center for Disease Control and Prevention, Xian City, 710031, Shannxi Province, China
| | - Jilan He
- Sichuan Center for Disease Control and Prevention, Chengdu City, 610014, Sichuan Province, China
| | - Daxing Feng
- Henan Center for Disease Control and Prevention, Zhengzhou City, 450016, Henan Province, China
| | - Zhu Zhen
- National Institute for Viral Disease Control and Prevention, China Center for Disease Control and Prevention, Beijing City, 102206, China
| | - Zhang Yan
- National Institute for Viral Disease Control and Prevention, China Center for Disease Control and Prevention, Beijing City, 102206, China
| | - Mao Naiying
- National Institute for Viral Disease Control and Prevention, China Center for Disease Control and Prevention, Beijing City, 102206, China
| | - Aili Cui
- National Institute for Viral Disease Control and Prevention, China Center for Disease Control and Prevention, Beijing City, 102206, China
| | - Qiuhua Wu
- National Institute for Viral Disease Control and Prevention, China Center for Disease Control and Prevention, Beijing City, 102206, China
| | - Mengyuan Qi
- Department of Neurosurgery, Second Affiliated Hospital of Dalian Medical University, Dalian, 116027, Liaoning Province, China
| | - Chongshan Li
- Shanghai Center for Disease Control and Prevention, Shanghai City, 200336, China.
| | - Xiaoguang Xu
- Department of Neurosurgery, Second Affiliated Hospital of Dalian Medical University, Dalian, 116027, Liaoning Province, China.
| | - Wenbo Xu
- National Institute for Viral Disease Control and Prevention, China Center for Disease Control and Prevention, Beijing City, 102206, China.
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Yang WC, Wang YN, Cui A, Zan LS. Polymorphisms of the bovine MC3R gene and their associations with body measurement traits and meat quality traits in Qinchuan cattle. Genet Mol Res 2015; 14:11876-83. [PMID: 26505335 DOI: 10.4238/2015.october.5.1] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
Abstract
The melanocortin 3 receptor (MC3R) gene, which belongs to the rhodopsin-like family A of the G protein-coupled receptor family, plays a crucial role in feed efficiency and energy homeostasis. The aim of this study was to examine associations between bovine MC3R gene polymorphisms and body measurement traits (BMTs) and meat quality traits (MQTs). We identified three synonymous mutations (T429C, T537C, and T663C) in exon 1 of the MC3R gene in Chinese Qinchuan beef cattle (N = 271) by sequencing. D' and r(2) values revealed that these three SNPs were in strong linkage disequilibrium (LD) (r(2) > 0.33); the T429C and T537C SNPs were in complete LD (D' = 1 and r(2) = 1). Association analyses revealed that the SNPs were significantly associated with BMTs and MQTs in Qinchuan cattle. Individuals with the wild homozygotic genotypes g.TTTT and g.TT had significantly higher values of chest depth, heart girth, back fat thickness, intramuscular fat content, and loin muscle area than the mutant heterozygotic genotypes g.TCTC and g.TC. These results suggest that the MC3R gene affects MQTs in Qinchuan cattle, and that it may be a good candidate gene for marker-assisted selection.
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Affiliation(s)
- W-C Yang
- College of Animal Science and Technology, Northwest A&F University, Shaanxi, China
| | - Y-N Wang
- College of Animal Science and Technology, Northwest A&F University, Shaanxi, China
| | - A Cui
- College of Animal Science and Technology, Northwest A&F University, Shaanxi, China
| | - L-S Zan
- College of Animal Science and Technology, Northwest A&F University, Shaanxi, China
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Liu Y, Wang G, Yang Y, Mei Z, Liang Z, Cui A, Wu T, Liu CY, Cui L. Increased TEAD4 expression and nuclear localization in colorectal cancer promote epithelial-mesenchymal transition and metastasis in a YAP-independent manner. Oncogene 2015; 35:2789-800. [PMID: 26387538 DOI: 10.1038/onc.2015.342] [Citation(s) in RCA: 98] [Impact Index Per Article: 10.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2015] [Revised: 07/20/2015] [Accepted: 07/24/2015] [Indexed: 12/22/2022]
Abstract
Dysregulation of the Hippo pathway occurs in a variety of cancers and often correlates with a poor prognosis. To further explore the potential role of Hippo pathway dysregulation in tumor development and progression, we investigated its downstream transcription factor TEAD4 in colorectal cancer (CRC). Increased expression and nuclear localization of TEAD4 were found in a significant portion of CRC tissues, in association with metastasis and a poor prognosis. In CRC cells, TEAD4 knockdown induced the mesenchymal-epithelial transition and decreased cell mobility in vitro and metastasis in vivo. Microarray analysis revealed that TEAD4 promoted cell adhesion and upregulated the epithelial-mesenchymal transition-related transcriptome in CRC cells. Vimentin was identified as a new direct target gene mediating TEAD4 function in CRC cells, whereby forced vimentin expression markedly reversed TEAD4-knockdown-induced cell morphological changes and decreased mobility. Interestingly, rescued expression of both WT TEAD4 and a Y429H mutant can reverse the mesenchymal-epithelial transition and increase vimentin expression, cell mobility and metastatic potential in TEAD4-knockdown CRC cells. The discrepant expression of YAP and TEAD4 in CRC tissues, the rescue ability of TEAD4 mutant defect in YAP binding and no effect on vimentin expression by YAP knockdown in CRC cells, all implicated a YAP-independent manner of TEAD4 function in CRC. Furthermore, vimentin positively correlated and CDH1 reversely correlated with the level of TEAD4 in CRC tissues and xenograft tumors. Our results suggest that TEAD4 nuclear expression can serve as a biomarker for CRC progression and poor prognosis. The transcription factor TEAD4 regulates a pro-metastasis transcription program in a YAP-independent manner in CRC, thus providing a novel mechanism of TEAD4 transcriptional regulation and its oncogenic role in CRC, independently of the Hippo pathway.
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Affiliation(s)
- Y Liu
- Department of Colorectal and Anal Surgery, Xinhua Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.,Shanghai Colorectal Cancer Research Center, Shanghai, China
| | - G Wang
- Department of Colorectal and Anal Surgery, Xinhua Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.,Shanghai Colorectal Cancer Research Center, Shanghai, China
| | - Y Yang
- Department of Colorectal and Anal Surgery, Xinhua Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.,Shanghai Colorectal Cancer Research Center, Shanghai, China.,Center for Medical Research, Xinhua Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Z Mei
- Department of Colorectal and Anal Surgery, Xinhua Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.,Shanghai Colorectal Cancer Research Center, Shanghai, China
| | - Z Liang
- Department of Colorectal and Anal Surgery, Xinhua Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.,Shanghai Colorectal Cancer Research Center, Shanghai, China
| | - A Cui
- Department of Colorectal and Anal Surgery, Xinhua Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.,Shanghai Colorectal Cancer Research Center, Shanghai, China
| | - T Wu
- Department of Colorectal and Anal Surgery, Xinhua Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.,Shanghai Colorectal Cancer Research Center, Shanghai, China
| | - C-Y Liu
- Department of Colorectal and Anal Surgery, Xinhua Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.,Shanghai Colorectal Cancer Research Center, Shanghai, China
| | - L Cui
- Department of Colorectal and Anal Surgery, Xinhua Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.,Shanghai Colorectal Cancer Research Center, Shanghai, China
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Mei Z, Liu Y, Liu C, Cui A, Liang Z, Wang G, Peng H, Cui L, Li C. Tumour-infiltrating inflammation and prognosis in colorectal cancer: systematic review and meta-analysis. Br J Cancer 2014; 110:1595-605. [PMID: 24504370 PMCID: PMC3960618 DOI: 10.1038/bjc.2014.46] [Citation(s) in RCA: 222] [Impact Index Per Article: 22.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2013] [Revised: 01/02/2014] [Accepted: 01/08/2014] [Indexed: 12/12/2022] Open
Abstract
Background: The role of tumour-infiltrating inflammation in the prognosis of patients with colorectal cancer (CRC) has not been fully evaluated. The primary objective of our meta-analysis was to determine the impact of tumour-infiltrating inflammation on survival outcomes. Methods: Ovid MEDLINE and EMBASE were searched to identify studies reporting the prognostic significance of tumour-infiltrating inflammation for patients with CRC. The primary outcome measures were overall survival (OS), cancer-specific survival (CS) and disease-free survival (DFS). Results: A total of 30 studies involving 2988 patients were identified. Studies were subdivided into those considering the associations between CRC survival and generalised tumour inflammatory infiltrate (n=12) and T lymphocyte subsets (n=18). Pooled analyses revealed that high generalised tumour inflammatory infiltrate was associated with good OS (HR, 0.59; 95% CI, 0.48–0.72), CS (HR, 0.40; 95% CI, 0.27–0.61) and DFS (HR, 0.72; 95% CI, 0.57–0.91). Stratification by location and T lymphocyte subset indicated that in the tumour centre, CD3+, CD8+ and FoxP3+ infiltrates were not statistically significant prognostic markers for OS or CS. In the tumour stroma, high CD8+, but not CD3+ or FoxP3+ cell infiltrates indicated increased OS. Furthermore, high CD3+ cell infiltrate was detected at the invasive tumour margin in patients with good OS and DFS; and high CCR7+ infiltrate was also indicated increased OS. Conclusion: Overall, high generalised tumour inflammatory infiltrate could be a good prognostic marker for CRC. However, significant heterogeneity and an insufficient number of studies underscore the need for further prospective studies on subsets of T lymphocytes to increase the robustness of the analyses.
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Affiliation(s)
- Z Mei
- Department of Colorectal Surgery, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, People's Republic of China
| | - Y Liu
- Department of Colorectal Surgery, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, People's Republic of China
| | - C Liu
- Department of Colorectal Surgery, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, People's Republic of China
| | - A Cui
- Department of Colorectal Surgery, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, People's Republic of China
| | - Z Liang
- Department of Colorectal Surgery, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, People's Republic of China
| | - G Wang
- Department of Colorectal Surgery, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, People's Republic of China
| | - H Peng
- Department of Colorectal Surgery, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, People's Republic of China
| | - L Cui
- Department of Colorectal Surgery, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, People's Republic of China
| | - C Li
- Department of Biological Psychiatry, Shanghai Mental Health Centre, Shanghai Jiao Tong University School of Medicine, Shanghai, People's Republic of China
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Cui A, Zhu Z, Chen M, Zheng H, Liu L, Wang Y, Ma Y, Wang C, Fang X, Li P, Guan R, Wang S, Zhou J, Zheng L, Gao H, Ding Z, Li L, Bo F, Sun Z, Zhang Z, Feng D, He J, Chen H, Jin L, Rota PA, Xu W. Epidemiologic and genetic characteristics of mumps viruses isolated in China from 1995 to 2010. Infection, Genetics and Evolution 2014; 21:384-90. [DOI: 10.1016/j.meegid.2013.12.005] [Citation(s) in RCA: 27] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/26/2013] [Revised: 12/05/2013] [Accepted: 12/07/2013] [Indexed: 10/25/2022]
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Cui A, Brown DWG, Xu W, Jin L. Genetic variation in the HN and SH genes of mumps viruses: a comparison of strains from mumps cases with and without neurological symptoms. PLoS One 2013; 8:e61791. [PMID: 23637906 PMCID: PMC3634820 DOI: 10.1371/journal.pone.0061791] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.2] [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: 11/11/2012] [Accepted: 03/13/2013] [Indexed: 11/18/2022] Open
Abstract
BACKGROUND It is known that mumps virus (MuV) strains may vary in their neurovirulent capacity, and certain MuV strains may be highly neurotropic. In animal models and epidemiological studies, mutations at specific amino acids (aa) have been proposed to be associated with neurovirulence. To assess whether these genetic variations can be observed in clinical samples from patients and if they correlate with neurovirulence as determined by clinical symptoms, 39 mumps patients with or without neurological symptoms were investigated. PRINCIPAL FINDINGS Respiratory samples, oral fluids, throat swabs, and neurological and cerebrospinal fluid samples were tested by RT-PCR and products sequenced. Sequences of the entire small hydrophobic (SH) gene and the partial hemagglutinin-neuraminidase (HN) gene were compared. CONCLUSIONS The results showed there was no significant difference between the samples of the two groups of patients at the aa sites in either the HN protein or the SH protein, which have previously been hypothesized to be associated with neurovirulence or antigenicity. The occurrence of neurological symptoms of mumps does not appear to be due to a single point mutation in either the HN or SH gene.
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Affiliation(s)
- Aili Cui
- National Institute of Viral Disease Control and Prevention, Chinese Centre for Disease Control and Prevention, Beijing, People’s Republic of China
- Virus Reference Department, Centre for Infections, Health Protection Agency, London, United Kingdom
| | - David W. G. Brown
- Virus Reference Department, Centre for Infections, Health Protection Agency, London, United Kingdom
| | - Wenbo Xu
- National Institute of Viral Disease Control and Prevention, Chinese Centre for Disease Control and Prevention, Beijing, People’s Republic of China
| | - Li Jin
- Virus Reference Department, Centre for Infections, Health Protection Agency, London, United Kingdom
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Zhang Y, Tan X, Cui A, Mao N, Xu S, Zhu Z, Zhou J, Shi J, Zhao Y, Wang X, Huang X, Zhu S, Zhang Y, Tang W, Ling H, Xu W. Complete genome analysis of the C4 subgenotype strains of enterovirus 71: predominant recombination C4 viruses persistently circulating in China for 14 years. PLoS One 2013; 8:e56341. [PMID: 23441179 PMCID: PMC3575343 DOI: 10.1371/journal.pone.0056341] [Citation(s) in RCA: 75] [Impact Index Per Article: 6.8] [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: 09/14/2012] [Accepted: 01/08/2013] [Indexed: 11/18/2022] Open
Abstract
Genetic recombination is a well-known phenomenon for enteroviruses. To investigate the genetic characterization and the potential recombination of enterovirus 71 (EV71) circulating in China, we determined the 16 complete genome sequences of EV71 isolated from Hand Foot Mouth Disease (HFMD) patients during the large scale outbreak and non-outbreak years since 1998 in China. The full length genome sequences of 16 Chinese EV71 in present study were aligned with 186 genome sequences of EV71 available from GenBank, including 104 China mainland and 82 international sequences, covering the time period of 1970-2011. The oldest strains of each subgenotype of EV71 and prototype strains of HEV-A were included to do the phylogenetic and Simplot analysis. Phylogenetic analysis indicated that all Chinese strains were clustered into C4 subgenotype of EV71, except for HuB/CHN/2009 clustered into A and Xiamen/CHN/2009 clustered into B5 subgenotype. Most of C4 EV71 were clustered into 2 predominant evolutionary branches: C4b and C4a evolutionary brunches. Our comprehensive recombination analysis showed the evidence of genome recombination of subgenotype C4 (including C4a and C4b) sequences between structural genes from genotype C EV71 and non-structural genes from the prototype strains of CAV16, 14 and 4, but the evidence of intratypic recombination between C4 strains and B subgenotype was not enough strong. This intertypic recombination C4 viruses were first seen in 1998 and became the predominant endemic viruses circulating in China mainland for at least 14 years. A shift between C4a and C4b evolutionary brunches of C4 recombination viruses were observed, and C4a viruses have been associated with large scale nationwide HFMD outbreak with higher morbidity and mortality since 2007.
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Affiliation(s)
- Yan Zhang
- National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, People’s Republic of China
| | - Xiaojuan Tan
- National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, People’s Republic of China
| | - Aili Cui
- National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, People’s Republic of China
| | - Naiying Mao
- National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, People’s Republic of China
| | - Songtao Xu
- National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, People’s Republic of China
| | - Zhen Zhu
- National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, People’s Republic of China
| | - Jianhui Zhou
- Jilin Provincial Center for Disease Control and Prevention, Changchun, People’s Republic of China
| | - Jing Shi
- National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, People’s Republic of China
- Beijing Children Hospital, Capital University of Medical Science, Beijing, People’s Republic of China
| | - Yueping Zhao
- Anhui Provincial Center for Disease Control and Prevention, Hefei, People’s Republic of China
| | - Xianjun Wang
- Shandong Provincial Center for Disease Control and Prevention, Jinan, People’s Republic of China
| | - Xueyong Huang
- Henan Provincial Center for Disease Control and Prevention, Zhengzhou, People’s Republic of China
| | - Shuangli Zhu
- National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, People’s Republic of China
| | - Yong Zhang
- National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, People’s Republic of China
| | - Wei Tang
- Shanghai Center for Disease Control and Prevention, Shanghai, People’s Republic of China
| | - Hua Ling
- Chongqing Center for Disease Control and Prevention, Chongqing, People’s Republic of China
| | - Wenbo Xu
- National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, People’s Republic of China
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Mao N, Ji Y, Xie Z, Wang H, Wang H, An J, Zhang X, Zhang Y, Zhu Z, Cui A, Xu S, Shen K, Liu C, Yang W, Xu W. Human parainfluenza virus-associated respiratory tract infection among children and genetic analysis of HPIV-3 strains in Beijing, China. PLoS One 2012; 7:e43893. [PMID: 22937119 PMCID: PMC3429441 DOI: 10.1371/journal.pone.0043893] [Citation(s) in RCA: 36] [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: 11/27/2011] [Accepted: 07/27/2012] [Indexed: 11/30/2022] Open
Abstract
The relevance of human parainfluenza viruses (HPIVs) to the epidemiology of acute respiratory infections (ARI) in China is unclear. From May 2008 to September 2010, 443 nasopharyngeal aspirates (NPAs) from hospitalized pediatric patients (age from 1 to 93 months) in Beijing were collected and screened for HPIVs and other common respiratory viruses by real-time RT-PCR. Sixty-two of 443 samples were positive for HPIVs with 4 positive for HPIV-2 and 58 positive for HPIV-3, indicating that HPIV-3 was the predominant virus present during the study period. A phylogenetic tree based on all the available HN (hemagglutinin-neuraminidase) sequences of HPIV-3 indicated that three distinct clusters (A,B, and C) were circulating with some temporal and regional clustering. Cluster C was further divided into sub-clusters, C1, C2, C3 and C4. HPIV-3 from Beijing isolates belonged to sub-cluster C3, and were grouped with the isolates from two Provinces of China and the neighboring country of Japan. Genetic analysis based on entire HN gene revealed that the HPIV-3 isolates from Beijing were highly similar with 97.2%-100% identity at the nucleotide level and these could be divided into two closely related lineages, C3a and C3b. These findings suggested that there was co-circulation of multiple lineages of HPIV-3 in the Beijing region during the study period. This is the first study to describe the epidemiology and molecular characterization of HPIVs in China.
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Affiliation(s)
- Naiying Mao
- World Health Organization Regional Office for the Western Pacific Regional Reference Measles Lab and State Key Laboratory for Molecular Virology and Genetic Engineering, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Yixin Ji
- World Health Organization Regional Office for the Western Pacific Regional Reference Measles Lab and State Key Laboratory for Molecular Virology and Genetic Engineering, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Zhengde Xie
- Beijing Children’s Hospital, Capital Medical University, Beijing, China
| | - Huanhuan Wang
- World Health Organization Regional Office for the Western Pacific Regional Reference Measles Lab and State Key Laboratory for Molecular Virology and Genetic Engineering, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
- Department of Neurobiology, Taishan Medical College, Taian, Shandong, China
| | - Huiling Wang
- World Health Organization Regional Office for the Western Pacific Regional Reference Measles Lab and State Key Laboratory for Molecular Virology and Genetic Engineering, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
- Beijing Children’s Hospital, Capital Medical University, Beijing, China
| | - Junjing An
- World Health Organization Regional Office for the Western Pacific Regional Reference Measles Lab and State Key Laboratory for Molecular Virology and Genetic Engineering, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Xinxin Zhang
- World Health Organization Regional Office for the Western Pacific Regional Reference Measles Lab and State Key Laboratory for Molecular Virology and Genetic Engineering, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
- Beijing Children’s Hospital, Capital Medical University, Beijing, China
| | - Yan Zhang
- World Health Organization Regional Office for the Western Pacific Regional Reference Measles Lab and State Key Laboratory for Molecular Virology and Genetic Engineering, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Zhen Zhu
- World Health Organization Regional Office for the Western Pacific Regional Reference Measles Lab and State Key Laboratory for Molecular Virology and Genetic Engineering, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Aili Cui
- World Health Organization Regional Office for the Western Pacific Regional Reference Measles Lab and State Key Laboratory for Molecular Virology and Genetic Engineering, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Songtao Xu
- World Health Organization Regional Office for the Western Pacific Regional Reference Measles Lab and State Key Laboratory for Molecular Virology and Genetic Engineering, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Kunling Shen
- Beijing Children’s Hospital, Capital Medical University, Beijing, China
| | - Chunyan Liu
- Beijing Children’s Hospital, Capital Medical University, Beijing, China
| | - Weizhong Yang
- Office for Disease Control and Emergency Response, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Wenbo Xu
- World Health Organization Regional Office for the Western Pacific Regional Reference Measles Lab and State Key Laboratory for Molecular Virology and Genetic Engineering, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
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Tan X, Huang X, Zhu S, Chen H, Yu Q, Wang H, Huo X, Zhou J, Wu Y, Yan D, Zhang Y, Wang D, Cui A, An H, Xu W. The persistent circulation of enterovirus 71 in People's Republic of China: causing emerging nationwide epidemics since 2008. PLoS One 2011; 6:e25662. [PMID: 21980521 PMCID: PMC3181342 DOI: 10.1371/journal.pone.0025662] [Citation(s) in RCA: 144] [Impact Index Per Article: 11.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2011] [Accepted: 09/07/2011] [Indexed: 01/16/2023] Open
Abstract
Emerging epidemics of hand-foot-and-mouth disease (HFMD) associated with enterovirus 71 (EV71) has become a serious concern in mainland China. It caused 126 and 353 fatalities in 2008 and 2009, respectively. The epidemiologic and pathogenic data of the outbreak collected from national laboratory network and notifiable disease surveillance system. To understand the virological evolution of this emerging outbreak, 326 VP1 gene sequences of EV71 detected in China from 1987 to 2009 were collected for genetic analyses. Evidence from both traditional and molecular epidemiology confirmed that the recent HFMD outbreak was an emerging one caused by EV71 of subgenotype C4. This emerging HFMD outbreak is associated with EV71 of subgenotype C4, circulating persistently in mainland China since 1998, but not attributed to the importation of new genotype. Originating from 1992, subgenotype C4 has been the predominant genotype since 1998 in mainland China, with an evolutionary rate of 4.6∼4.8×10−3 nucleotide substitutions/site/year. The phylogenetic analysis revealed that the majority of the virus during this epidemic was the most recent descendant of subgenotype C4 (clade C4a). It suggests that the evolution might be one of the potential reasons for this native virus to cause the emerging outbreak in China. However, strong negative selective pressure on VP1 protein of EV71 suggested that immune escape might not be the evolving strategy of EV71, predicting a light future for vaccine development. Nonetheless, long-term antigenic and genetic surveillance is still necessary for further understanding.
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Affiliation(s)
- Xiaojuan Tan
- National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Xueyong Huang
- Henan Provincial Center for Disease Control and Prevention, Zhengzhou, Henan, China
| | - Shuangli Zhu
- National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Hui Chen
- Ningxia Provincial Center for Disease Control and Prevention, Yinchuan, Ningxia, China
| | - Qiuli Yu
- Hebei Provincial Center for Disease Control and Prevention, Shijiazhuang, Hebei, China
| | - Haiyan Wang
- Shandong Provincial Center for Disease Control and Prevention, Jinan, Shandong, China
| | - Xixiang Huo
- Hubei Provincial Center for Disease Control and Prevention, Wuhan, Hubei, China
| | - Jianhui Zhou
- Jilin Provincial Center for Disease Control and Prevention, Changchun, Jilin, China
| | - Yan Wu
- Yunnan Provincial Center for Disease Control and Prevention, Kunming, Yunnan, China
| | - Dongmei Yan
- National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Yong Zhang
- National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Dongyan Wang
- National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Aili Cui
- National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Hongqiu An
- National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Wenbo Xu
- National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
- * E-mail:
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Zhang Y, Zhu Z, Yang W, Ren J, Tan X, Wang Y, Mao N, Xu S, Zhu S, Cui A, Zhang Y, Yan D, Li Q, Dong X, Zhang J, Zhao Y, Wan J, Feng Z, Sun J, Wang S, Li D, Xu W. An emerging recombinant human enterovirus 71 responsible for the 2008 outbreak of hand foot and mouth disease in Fuyang city of China. Virol J 2010; 7:94. [PMID: 20459851 PMCID: PMC2885340 DOI: 10.1186/1743-422x-7-94] [Citation(s) in RCA: 377] [Impact Index Per Article: 26.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2010] [Accepted: 05/12/2010] [Indexed: 11/10/2022] Open
Abstract
Hand, foot and mouth disease (HFMD), a common contagious disease that usually affects children, is normally mild but can have life-threatening manifestations. It can be caused by enteroviruses, particularly Coxsackieviruses and human enterovirus 71 (HEV71) with highly variable clinical manifestations. In the spring of 2008, a large, unprecedented HFMD outbreak in Fuyang city of Anhui province in the central part of southeastern China resulted in a high aggregation of fatal cases. In this study, epidemiologic and clinical investigations, laboratory testing, and genetic analyses were performed to identify the causal pathogen of the outbreak. Of the 6,049 cases reported between 1 March and 9 May of 2008, 3023 (50%) were hospitalized, 353 (5.8%) were severe and 22 (0.36%) were fatal. HEV71 was confirmed as the etiological pathogen of the outbreak. Phylogenetic analyses of entire VP1 capsid protein sequence of 45 Fuyang HEV71 isolates showed that they belong to C4a cluster of the C4 subgenotype. In addition, genetic recombinations were found in the 3D region (RNA-dependent RNA polymerase, a major component of the viral replication complex of the genome) between the Fuyang HEV71 strain and Coxsackievirus A16 (CV-A16), resulting in a recombination virus. In conclusion, an emerging recombinant HEV71 was responsible for the HFMD outbreak in Fuyang City of China, 2008.
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Affiliation(s)
- Yan Zhang
- Key Laboratory for Molecular Virology & Genetic Engineering, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
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Cui A, Yu D, Zhu Z, Meng L, Li H, Liu J, Liu G, Mao N, Xu W. An outbreak of aseptic meningitis caused by coxsackievirus A9 in Gansu, the People's Republic of China. Virol J 2010; 7:72. [PMID: 20367886 PMCID: PMC2907575 DOI: 10.1186/1743-422x-7-72] [Citation(s) in RCA: 21] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2009] [Accepted: 04/06/2010] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND An outbreak of aseptic meningitis occurred in Tianshui city of Gansu Province, the People's Republic of China, from March to June 2005. A total of 85 patients were clinical confirmed as aseptic meningitis in this outbreak. RESULTS CVA9 was mainly responsible for this outbreak supported by the clinical manifestations of the patients, epidemiological data of the outbreak, the results of RT-PCR and complete VP1 sequence determination, conventional neutralization assays, IgM serological assays, viral isolation and phylogenetics analysis. Through phylogenetic analysis and homogeneity analysis for partial VP1 gene, the nucleotide and amino acid homologies between Gansu isolates and former Chinese CVA9 strains were 88.2%-96.1% and 97.2%-99.2%, respectively. Multiple transmission chains of CVA9 occurred in different provinces or years in China. Moreover, in order to clarify the genotype of CVA9, Gansu CVA9 strains isolated in this outbreak were compared with other CVA9 isolates based on VP1/2A junction regions (genotyping region) and they might belong to a new genotype of CVA9, which could be assigned for genotype XIII, CONCLUSIONS: CVA9 was confirmed as the pathogen responsible for this outbreak. The phylogenetic analysis indicated that the CVA9 strains isolated in this outbreak might belong to a new genotype.
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Affiliation(s)
- Aili Cui
- National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, 27 Nanwei Road, Beijing 100050, PR China
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Mao N, Zhao L, Zhu Z, Chen X, Zhou S, Zhang Y, Cui A, Ji Y, Xu S, Xu W. An aseptic meningitis outbreak caused by echovirus 6 in Anhui province, China. J Med Virol 2010; 82:441-5. [PMID: 20087933 DOI: 10.1002/jmv.21707] [Citation(s) in RCA: 26] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
An outbreak of aseptic meningitis (AM) occurred in Jinzhai County in Anhui province from April to July in 2005. Totally, 97 children aged 3-15 years were hospitalized. To identify the etiologic agent, 77 cerebrospinal fluid specimens (CSF) and 5 fecal specimens were collected from the patients and cultured by human rhabdomyosarcoma (RD) cell line. Thirty isolates of human echovirus 6 (E6) from 27 CSF and 3 fecal specimens were confirmed by neutralization assay and sequencing analysis of the VP1 gene. The homology of VP1 gene among Anhui isolates was 99.7-100.0% and it indicated that this AM outbreak probable caused by a single transmission link of E6. Phylogenetic analysis based on all the available complete VP1 sequences indicated that E6 could be divided into clusters A, B, and C with at least 15% diversity between clusters and the C cluster could be further divided into C1, C2, C3, and C4. The Anhui isolates most resembled a 2005 strain from Russia (25465 Tambov) and belong to C4. This is the first report that E6 was responsible for an outbreak of AM in China. J. Med. Virol. 82:441-445, 2010. (c) 2010 Wiley-Liss, Inc.
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Affiliation(s)
- Naiying Mao
- WHO WPRO Regional Reference Measles Lab and State Key Laboratory for Molecular Virology and Genetic Engineering, National Institute for Viral Disease Control and Prevention, Chinese Centers for Disease Control and Prevention, Beijing, People's Republic of China
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Ohshimo S, Bonella F, Grammann N, Starke K, Cui A, Bauer PC, Teschler H, Kohno N, Guzman J, Costabel U. Serum KL-6 as a novel disease marker in adolescent and adult cystic fibrosis. Sarcoidosis Vasc Diffuse Lung Dis 2009; 26:47-53. [PMID: 19960788] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 05/28/2023]
Abstract
BACKGROUND Cystic fibrosis (CF) is a chronic progressive disease leading to obstructive pulmonary impairment, fibrosis and shortened life expectancy. Serum levels of KL-6, high molecular weight human MUC1 mucin, are increased in the majority of patients with various interstitial lung disorders. Whether they are also elevated in CF has not been investigated before. OBJECTIVE To evaluate whether serum KL-6 levels are elevated and correlate with pulmonary function variables in CF. DESIGN Serum KL-6, lactate dehydrogenase (LDH) and C-reactive protein (CRP) levels were measured in 72 consecutive CF and 80 age- and sex-matched healthy control subjects. The relationship between serum KL-6 levels and pulmonary function variables was analyzed. RESULTS Serum KL-6 levels in CF patients were significantly increased compared to healthy subjects. Receiver operating characteristic curve analysis revealed that the diagnostic accuracy of KL-6 was better than that of LDH and CRP. Serum KL-6 levels showed an inverse relationship with vital capacity (VC) % predicted and forced expiratory volume in one second (FEV1) % predicted. CONCLUSIONS Serum KL-6 levels are elevated and appear to be correlated with pulmonary function variables in CF. These results suggest that KL-6 may be a useful noninvasive marker to monitor disease severity.
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Affiliation(s)
- S Ohshimo
- Medical Faculty, University of Duisburg-Essen, Germany
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Baker AF, Dragovich T, Cui A, Laheru D, Campen C, Von Hoff DD, Hidalgo M. Plasma IL-6 level and survival of pancreatic cancer patients treated with a VEGFR inhibitor, vatalanib (PTK/ZK). J Clin Oncol 2009. [DOI: 10.1200/jco.2009.27.15_suppl.e15514] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
e15514 Background: Use of anti-angiogenesis drugs in pancreatic cancer has not yet resulted in significant clinical improvements and it is unknown if there are subsets of patients with pancreatic cancer that may benefit from this therapeutic approach. We have reported on a phase II trial of PTK/ZK (VEGFR inhibitor) in patients (n=65) who have failed or progressed on gemcitabine. The 6- month OS met the primary endpoint of 29 % and there were 2 partial responses. We investigated some of the plasma proteins relevant for angiogenesis in correlation with clinical outcomes on this trial. Methods: Plasma samples were obtained prior to and after 4 weeks of therapy with PTK/ZK, aliquoted and frozen until assayed. Patient plasma was assayed for: VEGFA, VEGFC, VEGFR1, VEGFR2, FGFb, PDGFBB, OPN, ANG2, IL-6, and sIL-6R (SearchLight, Pierce Biotechnology Multiplex ELISA and IL-6 and sIL-6R using R&D Systems).The Spearmen correlation was utilized to look for correlations and changes from baseline compared to post-treatment levels. The correlation of baseline levels with survival were analyzed using the Cox proportional hazard model. Results: Thirty eight paired patient samples were assayed. A significant correlation of baseline values was found between VEGF-C and VEGFR1 (p=0.0496), VEGF-C and VEGF (0.0092), PDGFB and ANG2 (p=0.0003), IL-6 and ANG2 (p=0.0089), and FGFb and OPN (p=0.0281). A correlation in post-treatment change was observed between VEGF-C and PDGFB (p=0.0008), FGFb and OPN (p=0.0374), PDGFB and ANG2 (p=0.0005), IL-6 and ANG-2 (p=0.0464), and VEGF and IL-6 (p=0.0546). Lower baseline IL-6 levels correlated with longer survival (p=0.0227). A post-treatment decrease in plasma IL-6 levels was significantly associated with improvement in survival (p=0.0457). IL-6 mediates multiple effects including angiogenic and pro-survival signaling and has been proposed as a potential prognostic factor in different malignancies. Conclusions: Of all angiogenesis markers analyzed only a post-treatment decrease in plasma IL-6 correlated with improved survival on study. IL-6 warrants further investigation as a potential marker of sensitivity to anti-angiogenesis therapy, especially in patients with pancreatic cancer. Supported by: 1P50 CA95060; 1PO1CA109552–01A1 [Table: see text]
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Affiliation(s)
- A. F. Baker
- University of Arizona Cancer Center, Tucson, AZ; The Sidney Kimmel Comprehensive Cancer Center at Johns Hopkins, Baltimore, MD; University of Arizona, Tucson, AZ; TGen, Scottsdale, AZ; PCRT Investigators
| | - T. Dragovich
- University of Arizona Cancer Center, Tucson, AZ; The Sidney Kimmel Comprehensive Cancer Center at Johns Hopkins, Baltimore, MD; University of Arizona, Tucson, AZ; TGen, Scottsdale, AZ; PCRT Investigators
| | - A. Cui
- University of Arizona Cancer Center, Tucson, AZ; The Sidney Kimmel Comprehensive Cancer Center at Johns Hopkins, Baltimore, MD; University of Arizona, Tucson, AZ; TGen, Scottsdale, AZ; PCRT Investigators
| | - D. Laheru
- University of Arizona Cancer Center, Tucson, AZ; The Sidney Kimmel Comprehensive Cancer Center at Johns Hopkins, Baltimore, MD; University of Arizona, Tucson, AZ; TGen, Scottsdale, AZ; PCRT Investigators
| | - C. Campen
- University of Arizona Cancer Center, Tucson, AZ; The Sidney Kimmel Comprehensive Cancer Center at Johns Hopkins, Baltimore, MD; University of Arizona, Tucson, AZ; TGen, Scottsdale, AZ; PCRT Investigators
| | - D. D. Von Hoff
- University of Arizona Cancer Center, Tucson, AZ; The Sidney Kimmel Comprehensive Cancer Center at Johns Hopkins, Baltimore, MD; University of Arizona, Tucson, AZ; TGen, Scottsdale, AZ; PCRT Investigators
| | - M. Hidalgo
- University of Arizona Cancer Center, Tucson, AZ; The Sidney Kimmel Comprehensive Cancer Center at Johns Hopkins, Baltimore, MD; University of Arizona, Tucson, AZ; TGen, Scottsdale, AZ; PCRT Investigators
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Bonella F, Cui A, Ohshimo S, Bauer PC, Sarria R, Guzman J, Costabel U. PARC/CCL18: ein neuer Biomarker für die Alveolarproteinose. Pneumologie 2009. [DOI: 10.1055/s-0029-1213835] [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: 10/21/2022]
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Cui A, Bonella F, Ohshimo S, Sarria R, Guzman J, Costabel U. Erhöhung des Chemokins CCL18/PARC in der bronchoalveolären Lavage bei Bronchiolitis obliterans mit organisierender Pneumonie. Pneumologie 2009. [DOI: 10.1055/s-0029-1214093] [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: 10/21/2022]
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Bonella F, Ohshimo S, Cui A, Bauer P, Sarria R, Guzman J, Costabel U. KL-6 und PARC/CCL18: neue Biomarker bei Alveolarproteinose. Pneumologie 2009. [DOI: 10.1055/s-0029-1202440] [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: 10/21/2022]
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Cui A, Ye Q, Guzman J, Costabel U. Expression von Hämoxigenase-1 in Alveolarmakrophagen bei den idiopathischen interstitiellen Pneumonien. Pneumologie 2008. [DOI: 10.1055/s-2008-1074081] [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: 10/21/2022]
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Cui A, Ye Q, Guzman J, Costabel U. N-Acetylcystein (NAC) reduziert die Tumornekrosefaktor (TNF)-α-Freisetzung von Alveolarmakrophagen (AM) bei interstitiellen Lungenerkrankungen. Pneumologie 2008. [DOI: 10.1055/s-2008-1074080] [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: 10/21/2022]
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