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Hu X, Song J, Ye G, Zhu M, Lan J, Zeng L, Ke Z, Yuan J. Integrated serum proteomic and N-glycoproteomic characterization of dengue patients. J Med Virol 2024; 96:e29775. [PMID: 38949184 DOI: 10.1002/jmv.29775] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2024] [Revised: 06/06/2024] [Accepted: 06/22/2024] [Indexed: 07/02/2024]
Abstract
Dengue fever is a mosquito-borne viral disease caused by the dengue virus (DENV). It poses a public health threat globally and, while most people with dengue have mild symptoms or are asymptomatic, approximately 5% of affected individuals develop severe disease and need hospital care. However, knowledge of the molecular mechanisms underlying dengue infection and the interaction between the virus and its host remains limited. In the present study, we performed a quantitative proteomic and N-glycoproteomic analysis of serum from 19 patients with dengue and 11 healthy people. The results revealed distinct proteomic and N-glycoproteomic landscapes between the two groups. Notably, we report for the first time the changes in the serum N glycosylation pattern following dengue infection and provide abundant information on glycoproteins, glycosylation sites, and intact N-glycopeptides using recently developed site-specific glycoproteomic approaches. Furthermore, a series of key functional pathways in proteomic and N-glycoproteomic were identified. Collectively, our findings significantly improve understanding of host and DENV interactions and the general pathogenesis and pathology of DENV, laying a foundation for functional studies of glycosylation and glycan structures in dengue infection.
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Affiliation(s)
- Xiao Hu
- Infectious Disease Department, National Clinical Research Center for Infectious Disease, State Key Discipline of Infectious Disease, Shenzhen Third People's Hospital, Second Hospital Affiliated to Southern University of Science and Technology, Shenzhen, China
| | - Jiamin Song
- Infectious Disease Department, National Clinical Research Center for Infectious Disease, State Key Discipline of Infectious Disease, Shenzhen Third People's Hospital, Second Hospital Affiliated to Southern University of Science and Technology, Shenzhen, China
| | - Guoguo Ye
- Infectious Disease Department, National Clinical Research Center for Infectious Disease, State Key Discipline of Infectious Disease, Shenzhen Third People's Hospital, Second Hospital Affiliated to Southern University of Science and Technology, Shenzhen, China
| | - Miao Zhu
- Center for Emerging Infectious Diseases, Wuhan Institute of Virology, Chinese Academy of Sciences, Wuhan, China
| | - Jianfeng Lan
- Infectious Disease Department, National Clinical Research Center for Infectious Disease, State Key Discipline of Infectious Disease, Shenzhen Third People's Hospital, Second Hospital Affiliated to Southern University of Science and Technology, Shenzhen, China
| | - Lijiao Zeng
- Infectious Disease Department, National Clinical Research Center for Infectious Disease, State Key Discipline of Infectious Disease, Shenzhen Third People's Hospital, Second Hospital Affiliated to Southern University of Science and Technology, Shenzhen, China
| | - Zhiyi Ke
- Infectious Disease Department, National Clinical Research Center for Infectious Disease, State Key Discipline of Infectious Disease, Shenzhen Third People's Hospital, Second Hospital Affiliated to Southern University of Science and Technology, Shenzhen, China
| | - Jing Yuan
- Infectious Disease Department, National Clinical Research Center for Infectious Disease, State Key Discipline of Infectious Disease, Shenzhen Third People's Hospital, Second Hospital Affiliated to Southern University of Science and Technology, Shenzhen, China
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Tu T, Yang J, Xiao H, Zuo Y, Tao X, Ran Y, Yuan Y, Ye S, He Y, Wang Z, Tang W, Liu Q, Ji H, Li Z. Spatiotemporal analysis of imported and local dengue virus and cases in a metropolis in Southwestern China, 2013-2022. Acta Trop 2024:107308. [PMID: 38945422 DOI: 10.1016/j.actatropica.2024.107308] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2024] [Revised: 06/19/2024] [Accepted: 06/28/2024] [Indexed: 07/02/2024]
Abstract
Dengue fever is a viral illness, mainly transmitted by Aedes aegypti and Aedes albopictus. With climate change and urbanisation, more urbanised areas are becoming suitable for the survival and reproduction of dengue vector, consequently are becoming suitable for dengue transmission in China. Chongqing, a metropolis in southwestern China, has recently been hit by imported and local dengue fever, experiencing its first local outbreak in 2019. However, the genetic evolution dynamics of dengue viruses and the spatiotemporal patterns of imported and local dengue cases have not yet been elucidated. Hence, this study implemented phylogenetic analyses using genomic data of dengue viruses in 2019 and 2023 and a spatiotemporal analysis of dengue cases collected from 2013 to 2022. We sequenced a total of 15 nucleotide sequences of E genes. The dengue viruses formed separate clusters and were genetically related to those from Guangdong Province, China, and countries in Southeast Asia, including Laos, Thailand, Myanmar and Cambodia. Chongqing experienced a dengue outbreak in 2019 when 168 imported and 1,243 local cases were reported, mainly in September and October. Few cases were reported in 2013-2018, and only six were imported from 2020 to 2022 due to the COVID-19 lockdowns. Our findings suggest that dengue prevention in Chongqing should focus on domestic and overseas population mobility, especially in the Yubei and Wanzhou districts, where airports and railway stations are located, and the period between August and October when dengue outbreaks occur in endemic regions. Moreover, continuous vector monitoring should be implemented, especially during August-October, which would be useful for controlling the Aedes mosquitoes. This study is significant for defining Chongqing's appropriate dengue prevention and control strategies.
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Affiliation(s)
- Taotian Tu
- The First Batch of Key Disciplines On Public Health in Chongqing, Chongqing Municipal Key Laboratory for High Pathogenic Microbes, Chongqing Center for Disease Control and Prevention, Chongqing, China
| | - Jing Yang
- CAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China
| | - Hansen Xiao
- The First Batch of Key Disciplines On Public Health in Chongqing, Chongqing Municipal Key Laboratory for High Pathogenic Microbes, Chongqing Center for Disease Control and Prevention, Chongqing, China
| | - Youyi Zuo
- Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China; School of Soil and Water Conservation, Beijing Forestry University, Beijing, China
| | - Xiaoying Tao
- Shapingba District Center for Disease Control and Prevention, Chongqing, China
| | - Yaling Ran
- Yubei District Center for Disease Control and Prevention, Chongqing, China
| | - Yi Yuan
- The First Batch of Key Disciplines On Public Health in Chongqing, Chongqing Municipal Key Laboratory for High Pathogenic Microbes, Chongqing Center for Disease Control and Prevention, Chongqing, China
| | - Sheng Ye
- The First Batch of Key Disciplines On Public Health in Chongqing, Chongqing Municipal Key Laboratory for High Pathogenic Microbes, Chongqing Center for Disease Control and Prevention, Chongqing, China
| | - Yaming He
- The First Batch of Key Disciplines On Public Health in Chongqing, Chongqing Municipal Key Laboratory for High Pathogenic Microbes, Chongqing Center for Disease Control and Prevention, Chongqing, China
| | - Zheng Wang
- The First Batch of Key Disciplines On Public Health in Chongqing, Chongqing Municipal Key Laboratory for High Pathogenic Microbes, Chongqing Center for Disease Control and Prevention, Chongqing, China
| | - Wenge Tang
- The First Batch of Key Disciplines On Public Health in Chongqing, Chongqing Municipal Key Laboratory for High Pathogenic Microbes, Chongqing Center for Disease Control and Prevention, Chongqing, China
| | - Qiyong Liu
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Hengqing Ji
- The First Batch of Key Disciplines On Public Health in Chongqing, Chongqing Municipal Key Laboratory for High Pathogenic Microbes, Chongqing Center for Disease Control and Prevention, Chongqing, China.
| | - Zhichao Li
- Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China.
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Zhao L, Guo X, Li L, Jing Q, Ma J, Xie T, Lin D, Li L, Yin Q, Wang Y, Zhang X, Li Z, Liu X, Hu T, Hu M, Ren W, Li J, Peng J, Yu L, Peng Z, Hong W, Leng X, Luo L, Ngobeh JJK, Tang X, Wu R, Zhao W, Shi B, Liu J, Yang Z, Chen XG, Zhou X, Zhang F. Phylodynamics unveils invading and diffusing patterns of dengue virus serotype-1 in Guangdong, China from 1990 to 2019 under a global genotyping framework. Infect Dis Poverty 2024; 13:43. [PMID: 38863070 PMCID: PMC11165891 DOI: 10.1186/s40249-024-01211-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2024] [Accepted: 05/29/2024] [Indexed: 06/13/2024] Open
Abstract
BACKGROUND The strong invasiveness and rapid expansion of dengue virus (DENV) pose a great challenge to global public health. However, dengue epidemic patterns and mechanisms at a genetic scale, particularly in term of cross-border transmissions, remain poorly understood. Importation is considered as the primary driver of dengue outbreaks in China, and since 1990 a frequent occurrence of large outbreaks has been triggered by the imported cases and subsequently spread to the western and northern parts of China. Therefore, this study aims to systematically reveal the invasion and diffusion patterns of DENV-1 in Guangdong, China from 1990 to 2019. METHODS These analyses were performed on 179 newly assembled genomes from indigenous dengue cases in Guangdong, China and 5152 E gene complete sequences recorded in Chinese mainland. The genetic population structure and epidemic patterns of DENV-1 circulating in Chinese mainland were characterized by phylogenetics, phylogeography, phylodynamics based on DENV-1 E-gene-based globally unified genotyping framework. RESULTS Multiple serotypes of DENV were co-circulating in Chinese mainland, particularly in Guangdong and Yunnan provinces. A total of 189 transmission clusters in 38 clades belonging to 22 subgenotypes of genotype I, IV and V of DENV-1 were identified, with 7 Clades of Concern (COCs) responsible for the large outbreaks since 1990. The epidemic periodicity was inferred from the data to be approximately 3 years. Dengue transmission events mainly occurred from Great Mekong Subregion-China (GMS-China), Southeast Asia (SEA), South Asia Subcontinent (SASC), and Oceania (OCE) to coastal and land border cities respectively in southeastern and southwestern China. Specially, Guangzhou was found to be the most dominant receipting hub, where DENV-1 diffused to other cities within the province and even other parts of the country. Genome phylogeny combined with epidemiological investigation demonstrated a clear local consecutive transmission process of a 5C1 transmission cluster (5C1-CN4) of DENV-1 in Guangzhou from 2013 to 2015, while the two provinces of Guangdong and Yunnan played key roles in ongoing transition of dengue epidemic patterns. In contextualizing within Invasion Biology theories, we have proposed a derived three-stage model encompassing the stages of invasion, colonization, and dissemination, which is supposed to enhance our understanding of dengue spreading patterns. CONCLUSIONS This study demonstrates the invasion and diffusion process of DENV-1 in Chinese mainland within a global genotyping framework, characterizing the genetic diversities of viral populations, multiple sources of importation, and periodic dynamics of the epidemic. These findings highlight the potential ongoing transition trends from epidemic to endemic status offering a valuable insight into early warning, prevention and control of rapid spreading of dengue both in China and worldwide.
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Affiliation(s)
- Lingzhai Zhao
- Institute of Infectious Diseases, Guangzhou Eighth People's Hospital, Guangzhou Medical University, Guangzhou, 510440, Guangdong, China
| | - Xiang Guo
- Department of Pathogen Biology, School of Public Health, Institute of Tropical Medicine, Southern Medical University; Guangdong Provincial Key Laboratory of Tropical Disease Research; Key Laboratory of Prevention and Control for Emerging Infectious Diseases of Guangdong Higher Institutes; Key Laboratory of Infectious Diseases Research in South China of Ministry of Education, Guangzhou, 510515, China
| | - Liqiang Li
- Department of Clinical Laboratory, The Third People's Hospital of Shenzhen, Southern University of Science and Technology, National Clinical Research Center for Infectious Diseases, Guangdong Provincial Clinical Research Center for Infectious Diseases (Tuberculosis), Shenzhen Clinical Research Center for Tuberculosis, Shenzhen, China
| | - Qinlong Jing
- Guangzhou Center for Disease Control and Prevention, Guangzhou, 510440, China
| | - Jinmin Ma
- BGI-Shenzhen, Shenzhen, 518083, China
| | - Tian Xie
- Department of Pathogen Biology, School of Public Health, Institute of Tropical Medicine, Southern Medical University; Guangdong Provincial Key Laboratory of Tropical Disease Research; Key Laboratory of Prevention and Control for Emerging Infectious Diseases of Guangdong Higher Institutes; Key Laboratory of Infectious Diseases Research in South China of Ministry of Education, Guangzhou, 510515, China
| | | | - Li Li
- Department of Biostatistics, School of Public Health, State Key Laboratory of Organ Failure Research, Guangdong Provincial Key Laboratory of Tropical Disease Research, Southern Medical University, Guangzhou, 510515, China
| | - Qingqing Yin
- Department of Pathogen Biology, School of Public Health, Institute of Tropical Medicine, Southern Medical University; Guangdong Provincial Key Laboratory of Tropical Disease Research; Key Laboratory of Prevention and Control for Emerging Infectious Diseases of Guangdong Higher Institutes; Key Laboratory of Infectious Diseases Research in South China of Ministry of Education, Guangzhou, 510515, China
| | - Yuji Wang
- Department of Pathogen Biology, School of Public Health, Institute of Tropical Medicine, Southern Medical University; Guangdong Provincial Key Laboratory of Tropical Disease Research; Key Laboratory of Prevention and Control for Emerging Infectious Diseases of Guangdong Higher Institutes; Key Laboratory of Infectious Diseases Research in South China of Ministry of Education, Guangzhou, 510515, China
| | - Xiaoqing Zhang
- Department of Pathogen Biology, School of Public Health, Institute of Tropical Medicine, Southern Medical University; Guangdong Provincial Key Laboratory of Tropical Disease Research; Key Laboratory of Prevention and Control for Emerging Infectious Diseases of Guangdong Higher Institutes; Key Laboratory of Infectious Diseases Research in South China of Ministry of Education, Guangzhou, 510515, China
| | - Ziyao Li
- Department of Pathogen Biology, School of Public Health, Institute of Tropical Medicine, Southern Medical University; Guangdong Provincial Key Laboratory of Tropical Disease Research; Key Laboratory of Prevention and Control for Emerging Infectious Diseases of Guangdong Higher Institutes; Key Laboratory of Infectious Diseases Research in South China of Ministry of Education, Guangzhou, 510515, China
| | - Xiaohua Liu
- Department of Pathogen Biology, School of Public Health, Institute of Tropical Medicine, Southern Medical University; Guangdong Provincial Key Laboratory of Tropical Disease Research; Key Laboratory of Prevention and Control for Emerging Infectious Diseases of Guangdong Higher Institutes; Key Laboratory of Infectious Diseases Research in South China of Ministry of Education, Guangzhou, 510515, China
| | - Tian Hu
- Department of Pathogen Biology, School of Public Health, Institute of Tropical Medicine, Southern Medical University; Guangdong Provincial Key Laboratory of Tropical Disease Research; Key Laboratory of Prevention and Control for Emerging Infectious Diseases of Guangdong Higher Institutes; Key Laboratory of Infectious Diseases Research in South China of Ministry of Education, Guangzhou, 510515, China
| | - Minling Hu
- Department of Pathogen Biology, School of Public Health, Institute of Tropical Medicine, Southern Medical University; Guangdong Provincial Key Laboratory of Tropical Disease Research; Key Laboratory of Prevention and Control for Emerging Infectious Diseases of Guangdong Higher Institutes; Key Laboratory of Infectious Diseases Research in South China of Ministry of Education, Guangzhou, 510515, China
| | - Wenwen Ren
- Department of Pathogen Biology, School of Public Health, Institute of Tropical Medicine, Southern Medical University; Guangdong Provincial Key Laboratory of Tropical Disease Research; Key Laboratory of Prevention and Control for Emerging Infectious Diseases of Guangdong Higher Institutes; Key Laboratory of Infectious Diseases Research in South China of Ministry of Education, Guangzhou, 510515, China
| | - Jun Li
- Guangdong Provincial Key Laboratory of Research On Emergency in TCM, Guangdong Provincial Hospital of Traditional Chinese Medicine, Guangzhou, 510120, China
| | - Jie Peng
- Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, China
| | - Lei Yu
- Institute of Infectious Diseases, Guangzhou Eighth People's Hospital, Guangzhou Medical University, Guangzhou, 510440, Guangdong, China
| | - Zhiqiang Peng
- Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, 511430, China
| | - Wenxin Hong
- Institute of Infectious Diseases, Guangzhou Eighth People's Hospital, Guangzhou Medical University, Guangzhou, 510440, Guangdong, China
| | - Xingyu Leng
- Institute of Infectious Diseases, Guangzhou Eighth People's Hospital, Guangzhou Medical University, Guangzhou, 510440, Guangdong, China
| | - Lei Luo
- Guangzhou Center for Disease Control and Prevention, Guangzhou, 510440, China
| | - Jone Jama Kpanda Ngobeh
- Department of Pathogen Biology, School of Public Health, Institute of Tropical Medicine, Southern Medical University; Guangdong Provincial Key Laboratory of Tropical Disease Research; Key Laboratory of Prevention and Control for Emerging Infectious Diseases of Guangdong Higher Institutes; Key Laboratory of Infectious Diseases Research in South China of Ministry of Education, Guangzhou, 510515, China
| | - Xiaoping Tang
- Institute of Infectious Diseases, Guangzhou Eighth People's Hospital, Guangzhou Medical University, Guangzhou, 510440, Guangdong, China
| | - Rangke Wu
- The School of Foreign Studies, Southern Medical University, Guangzhou, 510515, China
| | - Wei Zhao
- BSL-3 Laboratory(Guangdong), School of Public Health, Southern Medical University, Guangzhou, 510515, China
| | - Benyun Shi
- College of Computer and Information Engineering, Nanjing Tech University, Nanjing, 211816, China
| | - Jiming Liu
- Department of Computer Science, Hong Kong Baptist University, Hong Kong, 999077, China
| | - Zhicong Yang
- Guangzhou Center for Disease Control and Prevention, Guangzhou, 510440, China.
| | - Xiao-Guang Chen
- Department of Pathogen Biology, School of Public Health, Institute of Tropical Medicine, Southern Medical University; Guangdong Provincial Key Laboratory of Tropical Disease Research; Key Laboratory of Prevention and Control for Emerging Infectious Diseases of Guangdong Higher Institutes; Key Laboratory of Infectious Diseases Research in South China of Ministry of Education, Guangzhou, 510515, China.
| | - Xiaohong Zhou
- Department of Pathogen Biology, School of Public Health, Institute of Tropical Medicine, Southern Medical University; Guangdong Provincial Key Laboratory of Tropical Disease Research; Key Laboratory of Prevention and Control for Emerging Infectious Diseases of Guangdong Higher Institutes; Key Laboratory of Infectious Diseases Research in South China of Ministry of Education, Guangzhou, 510515, China.
| | - Fuchun Zhang
- Institute of Infectious Diseases, Guangzhou Eighth People's Hospital, Guangzhou Medical University, Guangzhou, 510440, Guangdong, China.
- Guangzhou Medical Research Institute of Infectious Diseases, Infectious Disease Center, Guangzhou Eighth People's Hospital, Guangzhou Medical University, Guangzhou, 510440, China.
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Ou G, Liu J, Zou R, Gu Y, Niu S, Yin J, Yuan J, Qu Z, Yang Y, Liu Y. The dynamic molecular characteristics of neutrophils are associated with disease progression in dengue patients. J Med Virol 2024; 96:e29729. [PMID: 38860590 DOI: 10.1002/jmv.29729] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2024] [Revised: 05/26/2024] [Accepted: 06/01/2024] [Indexed: 06/12/2024]
Abstract
Dengue, the most prevalent mosquito-borne disease worldwide, poses a significant health burden. This study integrates clinical data and transcriptomic datasets from different phases of dengue to investigate distinctive and shared cellular and molecular features. Clinical data from 29 dengue patients were collected and analyzed alongside a public transcriptomic data set (GSE28405) to perform differential gene expression analysis, functional enrichment, immune landscape assessment, and development of machine learning model. Neutropenia was observed in 54.79% of dengue patients, particularly during the defervescence phase (65.79%) in clinical cohorts. Bioinformatics analyses corroborated a significant reduction in neutrophil immune infiltration in dengue patients. Receiver operating characteristic curve analysis demonstrated that dynamic changes in neutrophil infiltration levels could predict disease progression, especially during the defervescence phase, with the area under the curve of 0.96. Three neutrophil-associated biomarkers-DHRS12, Transforming growth factor alpha, and ZDHHC19-were identified as promising for diagnosing and predicting dengue progression. In addition, the activation of neutrophil extracellular traps was significantly enhanced and linked to FcγR-mediated signaling pathways and Toll-like receptor signaling pathways. Neutrophil activation and depletion play a critical role in dengue's immune response. The identified biomarkers and their associated pathways offer potential for improved diagnosis and understanding of dengue pathogenesis and progression.
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Affiliation(s)
- Guanyong Ou
- Shenzhen Key Laboratory of Pathogen and Immunity, National Clinical Research Center for Infectious Disease, State Key Discipline of Infectious Disease, The Third People's Hospital of Shenzhen, Second Hospital Affiliated to Southern University of Science and Technology, Shenzhen, China
- School of Medicine, Southern University of Science and Technology, Shenzhen, China
| | - Jiexiang Liu
- Shenzhen Clinical Medical College, Guangzhou University of Chinese Medicine, Shenzhen, China
| | - Rongrong Zou
- Shenzhen Key Laboratory of Pathogen and Immunity, National Clinical Research Center for Infectious Disease, State Key Discipline of Infectious Disease, The Third People's Hospital of Shenzhen, Second Hospital Affiliated to Southern University of Science and Technology, Shenzhen, China
| | - Yuchen Gu
- Shenzhen Key Laboratory of Pathogen and Immunity, National Clinical Research Center for Infectious Disease, State Key Discipline of Infectious Disease, The Third People's Hospital of Shenzhen, Second Hospital Affiliated to Southern University of Science and Technology, Shenzhen, China
- School of Medicine, Southern University of Science and Technology, Shenzhen, China
| | - Shiyu Niu
- Shenzhen Key Laboratory of Pathogen and Immunity, National Clinical Research Center for Infectious Disease, State Key Discipline of Infectious Disease, The Third People's Hospital of Shenzhen, Second Hospital Affiliated to Southern University of Science and Technology, Shenzhen, China
- School of Medicine, Southern University of Science and Technology, Shenzhen, China
| | - Juzhen Yin
- Shenzhen Key Laboratory of Pathogen and Immunity, National Clinical Research Center for Infectious Disease, State Key Discipline of Infectious Disease, The Third People's Hospital of Shenzhen, Second Hospital Affiliated to Southern University of Science and Technology, Shenzhen, China
- School of Medicine, Southern University of Science and Technology, Shenzhen, China
| | - Jing Yuan
- Shenzhen Key Laboratory of Pathogen and Immunity, National Clinical Research Center for Infectious Disease, State Key Discipline of Infectious Disease, The Third People's Hospital of Shenzhen, Second Hospital Affiliated to Southern University of Science and Technology, Shenzhen, China
| | - Zhijun Qu
- Longgang Central Hospital of Shenzhen, Guangdong, China
| | - Yang Yang
- Shenzhen Key Laboratory of Pathogen and Immunity, National Clinical Research Center for Infectious Disease, State Key Discipline of Infectious Disease, The Third People's Hospital of Shenzhen, Second Hospital Affiliated to Southern University of Science and Technology, Shenzhen, China
| | - Yingxia Liu
- Shenzhen Key Laboratory of Pathogen and Immunity, National Clinical Research Center for Infectious Disease, State Key Discipline of Infectious Disease, The Third People's Hospital of Shenzhen, Second Hospital Affiliated to Southern University of Science and Technology, Shenzhen, China
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Zhang Y, Wang Y, Zhao N, Lun X, Zhao C, Liu Q, Meng F. Long-term trends in housefly (Musca domestica L.) insecticide resistance in China. PESTICIDE BIOCHEMISTRY AND PHYSIOLOGY 2024; 201:105880. [PMID: 38685246 DOI: 10.1016/j.pestbp.2024.105880] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/24/2023] [Revised: 03/12/2024] [Accepted: 03/15/2024] [Indexed: 05/02/2024]
Abstract
Controlling housefly populations relies on the use of insecticides, which inevitably leads to the development of resistance. A better and more comprehensive understanding of the spatial and temporal distribution of resistance could guide the control of houseflies. However, most studies on housefly resistance in China are scattered and poorly coordinated. We collected resistance data from houseflies in the published literature and from the vector biomonitoring system of the Chinese Center for Disease Control and Prevention. A 5- or 10-year resolution was used to study the temporal dynamics of resistance to five commonly used insecticides: deltamethrin, permethrin, beta-cypermethrin, dichlorvos, and propoxur. ArcGIS was used to visualize their spatial distributions. The correlation between year and resistance coefficient was determined using SPSS 26.0 and RStudio to explore the changes in resistance over the years. A total of 2128 data were included in this study, ranging from 1982 to 2022, based on which we found significant increases in resistance over the past forty years for the five studied insecticides. Among them, pyrethroids had the most strikingly elevated resistance level and were mainly distributed in the northern and southeastern coastal areas. Dichlorvos and propoxur had intermediate increases in resistance, and most of these increases were identified in North China and the Yangtze River. Housefly resistance to commonly used insecticides in China is increasing and spatially heterogeneous. This finding also highlights the necessity of continuous routine surveillance of housefly resistance, which could guide future housefly control operations and slow the development of resistance.
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Affiliation(s)
- Yajun Zhang
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, World Health and Organization (WHO) Collaborating Centre for Vector Surveillance and Management, Chinese Center for Disease Control and Prevention, National Institute for Communicable Disease Control and Prevention, Beijing, China
| | - Yiguan Wang
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, World Health and Organization (WHO) Collaborating Centre for Vector Surveillance and Management, Chinese Center for Disease Control and Prevention, National Institute for Communicable Disease Control and Prevention, Beijing, China
| | - Ning Zhao
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, World Health and Organization (WHO) Collaborating Centre for Vector Surveillance and Management, Chinese Center for Disease Control and Prevention, National Institute for Communicable Disease Control and Prevention, Beijing, China
| | - Xinchang Lun
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, World Health and Organization (WHO) Collaborating Centre for Vector Surveillance and Management, Chinese Center for Disease Control and Prevention, National Institute for Communicable Disease Control and Prevention, Beijing, China
| | - Chunchun Zhao
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, World Health and Organization (WHO) Collaborating Centre for Vector Surveillance and Management, Chinese Center for Disease Control and Prevention, National Institute for Communicable Disease Control and Prevention, Beijing, China
| | - Qiyong Liu
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, World Health and Organization (WHO) Collaborating Centre for Vector Surveillance and Management, Chinese Center for Disease Control and Prevention, National Institute for Communicable Disease Control and Prevention, Beijing, China
| | - Fengxia Meng
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, World Health and Organization (WHO) Collaborating Centre for Vector Surveillance and Management, Chinese Center for Disease Control and Prevention, National Institute for Communicable Disease Control and Prevention, Beijing, China.
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Mohapatra RK, Bhattacharjee P, Desai DN, Kandi V, Sarangi AK, Mishra S, Sah R, Ibrahim AAAL, Rabaan AA, Zahan KE. Global health concern on the rising dengue and chikungunya cases in the American regions: Countermeasures and preparedness. Health Sci Rep 2024; 7:e1831. [PMID: 38274135 PMCID: PMC10808844 DOI: 10.1002/hsr2.1831] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2023] [Revised: 12/11/2023] [Accepted: 01/04/2024] [Indexed: 01/27/2024] Open
Abstract
Background and Aim Severe morbidity and mortality due to seasonal infectious diseases are common global public health issues. Vector-borne viral illnesses like dengue and chikungunya overload the healthcare systems leading to critical financial burden to manage them. There is no effective drug or vaccine currently available to control these two diseases. Methods The review was formulated by incorporating relevant reports on chikungunya and dengue in the Americas regions through a comprehensive search of literature that were available on dedicated scientific publication portals such as PubMed, ScienceDirect, and Web of Science. Results The strategies of public health administrations to control largely the mosquito vectors during tropical monsoon seem to be effective. Yet, it seems practically impossible to completely eliminate them. The mosquito vector disseminates the virus via transovarian route thereby internalising the virus through generations, a reason behind reappearing and recurring outbreaks. The numerous factors associated with industrialisation, urbanisation, population density, and easy transboundary movements appear to have contributed to the spread of vectors from an endemic region to elsewhere. Conclusion The article made a state-of-affair comprehensive analysis of the rising dengue and chikungunya cases in the tropics, particularly the tropical Americas, as a human health concern, the countermeasures undertaken and the overall preparedness. The viral transmission is a hard situation to tackle as the vector survives in diverse temperature and ecology, is resistant to insecticides, and the unavailability of drugs. Better vector-control measures and improved understanding of the reemerging arboviral infections could offer an extended reaction time to counter outbreaks, and minimise associated morbidity/mortality.
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Affiliation(s)
| | | | - Dhruv N. Desai
- Department of PathobiologyUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
| | - Venkataramana Kandi
- Department of MicrobiologyPrathima Institute of Medical SciencesKarimnagarTelanganaIndia
| | - Ashish K. Sarangi
- Department of ChemistryCenturion University of Technology and ManagementBalangirOdishaIndia
| | - Snehasish Mishra
- School of BiotechnologyKIIT Deemed UniversityBhubaneswarOdishaIndia
| | - Ranjit Sah
- Department of MicrobiologyTribhuvan University Teaching Hospital, Institute of MedicineKathmanduNepal
- Department of Clinical MicrobiologyDr. D. Y. Patil Medical College, Hospital and Research Centre, Dr. D. Y. Patil VidyapeethPuneMaharashtraIndia
| | | | - Ali A. Rabaan
- Molecular Diagnostic LaboratoryJohns Hopkins Aramco HealthcareDhahranSaudi Arabia
- Department of Medicine, College of MedicineAlfaisal UniversityRiyadhSaudi Arabia
- Department of Public Health and NutritionThe University of HaripurHaripurPakistan
| | - Kudrat E. Zahan
- Department of ChemistryRajshahi UniversityRajshahiBangladesh
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Sun H, Yao W, Siddique A, He F, Yue M. Genomic characterization of dengue virus serotype 2 during dengue outbreak and endemics in Hangzhou, Zhejiang (2017-2019). Front Microbiol 2023; 14:1245416. [PMID: 37692383 PMCID: PMC10485828 DOI: 10.3389/fmicb.2023.1245416] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2023] [Accepted: 08/08/2023] [Indexed: 09/12/2023] Open
Abstract
Introduction Dengue fever (DF) is a mosquito-borne viral disease caused by the dengue virus (DENV). In recent years, Hangzhou has undergone a DF epidemic, particularly in 2017, with an outbreak of 1,128 patients. The study aimed to investigate the genetic diversity and molecular evolution among the DF clinical isolates during and after the outbreak to aid in mapping its spread. Methods To understand the genetic diversity, 74 DENV-2 strains were isolated from DF epidemic cases between 2017 and 2019. Combining whole genome sequencing (WGS) technology, additional phylogenetic, haplotype, amino acid (AA) substitution, and recombination analyses were performed. Results The results revealed that strains from 2017 were closely related to those from Singapore, Malaysia, and Thailand, indicating an imported international transmission. Local strains from 2018 were clustered with those recovered from 2019 and were closely associated with Guangzhou isolates, suggesting a within-country transmission after the significant outbreak in 2017. Compared to DENV-2 virus P14337 (Thailand/0168/1979), a total of 20 AA substitutions were detected. Notably, V431I, T2881I, and K3291T mutations only occurred in indigenous cases from 2017, and A1402T, V1457I, Q2777E, R3189K, and Q3310R mutations were exclusively found in imported cases from 2018 to 2019. The recombination analysis indicated that a total of 14 recombination events were observed. Conclusion This study may improve our understanding of DENV transmission in Hangzhou and provide further insight into DENV-2 transmission and the local vaccine choice.
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Affiliation(s)
- Hua Sun
- Zhejiang Hospital of Integrated Traditional Chinese and Western Medicine, Hangzhou, China
| | - Wenwu Yao
- Department of Microbiology, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China
| | - Abubakar Siddique
- Hainan Institute of Zhejiang University, Sanya, China
- Department of Veterinary Medicine, Institute of Preventive Veterinary Sciences, College of Animal Sciences, Zhejiang University, Hangzhou, China
| | - Fan He
- Department of Microbiology, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China
| | - Min Yue
- Hainan Institute of Zhejiang University, Sanya, China
- Department of Veterinary Medicine, Institute of Preventive Veterinary Sciences, College of Animal Sciences, Zhejiang University, Hangzhou, China
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, National Medical Center for Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China
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8
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Hu M, Li WF, Wu T, Yang Y, Chen G, Chen T, Liu Y, Mei Y, Wu D, Wei Y, Luo T, Zhang HJ, Li YP. Identification of an Arylnaphthalene Lignan Derivative as an Inhibitor against Dengue Virus Serotypes 1 to 4 (DENV-1 to -4) Using a Newly Developed DENV-3 Infectious Clone and Replicon. Microbiol Spectr 2023; 11:e0042323. [PMID: 37378517 PMCID: PMC10434217 DOI: 10.1128/spectrum.00423-23] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2023] [Accepted: 06/03/2023] [Indexed: 06/29/2023] Open
Abstract
Dengue virus (DENV) is the most widespread arbovirus, causing symptoms ranging from dengue fever to severe dengue, including hemorrhagic fever and shock syndrome. Four serotypes of DENV (DENV-1 to -4) can infect humans; however, no anti-DENV drug is available. To facilitate the study of antivirals and viral pathogenesis, here we developed an infectious clone and a subgenomic replicon of DENV-3 strains for anti-DENV drug discovery by screening a synthetic compound library. The viral cDNA was amplified from a serum sample from a DENV-3-infected individual during the 2019 epidemic; however, fragments containing the prM-E-partial NS1 region could not be cloned until a DENV-3 consensus sequence with 19 synonymous substitutions was introduced to reduce putative Escherichia coli promoter activity. Transfection of the resulting cDNA clone, plasmid DV3syn, released an infectious virus titer of 2.2 × 102 focus-forming units (FFU)/mL. Through serial passages, four adaptive mutations (4M) were identified, and addition of 4M generated recombinant DV3syn_4M, which produced viral titers ranging from 1.5 × 104 to 6.7 × 104 FFU/mL and remained genetically stable in transformant bacteria. Additionally, we constructed a DENV-3 subgenomic replicon and screened an arylnaphthalene lignan library, from which C169-P1 was identified as exhibiting inhibitory effects on viral replicon. A time-of-drug addition assay revealed that C169-P1 also impeded the internalization process of cell entry. Furthermore, we demonstrated that C169-P1 inhibited the infectivity of DV3syn_4M, as well as DENV-1, DENV-2, and DENV-4, in a dose-dependent manner. This study provides an infectious clone and a replicon for the study of DENV-3 and a candidate compound for future development against DENV-1 to -4 infections. IMPORTANCE Dengue virus (DENV) is the most prevalent mosquito-transmitted virus, and there is no an anti-dengue drug. Reverse genetic systems representative of different serotype viruses are invaluable tools for the study of viral pathogenesis and antiviral drugs. Here, we developed an efficient infectious clone of a clinical DENV-3 genotype III isolate. We successfully overcame the instability of flavivirus genome-length cDNA in transformant bacteria, an unsolved issue for construction of cDNA clones of flaviviruses, and adapted this clone to efficiently produce infectious viruses following plasmid transfection of cell culture. Moreover, we constructed a DENV-3 subgenomic replicon and screened a compound library. An arylnaphthalene lignan, C169-P1, was identified as an inhibitor of virus replication and cell entry. Finally, we demonstrated that C169-P1 exhibited a broad-spectrum antiviral effect against the infections with DENV-1 to -4. The reverse genetic systems and the compound candidate described here facilitate the study of DENV and related RNA viruses.
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Affiliation(s)
- Mingyue Hu
- Institute of Human Virology, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, China
- Department of Pathogen Biology and Biosecurity, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, China
- Key Laboratory of Tropical Disease Control of Ministry of Education, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, China
- College of Animal Science and Veterinary Medicine, Guangxi University, Nanning, China
| | - Wan-Fei Li
- School of Chinese Medicine, Hong Kong Baptist University, Kowloon, Hong Kong, China
| | - Tiantian Wu
- Institute of Human Virology, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, China
- Department of Pathogen Biology and Biosecurity, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, China
- Key Laboratory of Tropical Disease Control of Ministry of Education, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, China
- Department of Infectious Diseases, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China
| | - Yang Yang
- Institute of Human Virology, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, China
- Department of Pathogen Biology and Biosecurity, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, China
- Key Laboratory of Tropical Disease Control of Ministry of Education, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, China
| | - Guoquan Chen
- College of Animal Science and Veterinary Medicine, Guangxi University, Nanning, China
| | - Tongling Chen
- Institute of Human Virology, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, China
- Department of Pathogen Biology and Biosecurity, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, China
- Key Laboratory of Tropical Disease Control of Ministry of Education, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, China
| | - Yongchen Liu
- Institute of Human Virology, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, China
- Department of Pathogen Biology and Biosecurity, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, China
- Key Laboratory of Tropical Disease Control of Ministry of Education, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, China
| | - Yaqing Mei
- Institute of Human Virology, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, China
- Department of Pathogen Biology and Biosecurity, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, China
- Key Laboratory of Tropical Disease Control of Ministry of Education, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, China
| | - De Wu
- Institute of Pathogenic Microbiology, Center for Disease Control and Prevention of Guangdong, Guangzhou, China
| | - Youchuan Wei
- College of Animal Science and Veterinary Medicine, Guangxi University, Nanning, China
| | - Tingrong Luo
- College of Animal Science and Veterinary Medicine, Guangxi University, Nanning, China
| | - Hong-Jie Zhang
- School of Chinese Medicine, Hong Kong Baptist University, Kowloon, Hong Kong, China
| | - Yi-Ping Li
- Institute of Human Virology, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, China
- Department of Pathogen Biology and Biosecurity, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, China
- Key Laboratory of Tropical Disease Control of Ministry of Education, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, China
- Department of Infectious Diseases, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China
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9
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Shan W, Yuan H, Chen H, Dong H, Zhou Q, Tao F, Bai J, Chen H, Ma Y, Peng H. Genetic structure of Aedes albopictus (Diptera: Culicidae) populations in China and relationship with the knockdown resistance mutations. Infect Dis Poverty 2023; 12:46. [PMID: 37147696 PMCID: PMC10161448 DOI: 10.1186/s40249-023-01096-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2022] [Accepted: 04/20/2023] [Indexed: 05/07/2023] Open
Abstract
BACKGROUND Mosquito control is needed to prevent dengue fever, which is mainly spread by Aedes albopictus in China. Application of insecticides is one of the main mosquito control methods; however, this approach can fail due to the knockdown resistance (kdr) gene mutation that causes decreased sensitivity to insecticides in Ae. albopictus. The kdr mutation patterns among different regions in China differ significantly. However, the underlying mechanism and factors that influence kdr mutation remain unclear. To explore the potential influence of genetic background on the development of insecticide resistance in Ae. albopictus, we analyzed the genetic structure of Ae. albopictus populations in China and its correlation with major kdr mutations. METHODS We collected Ae. albopictus from 17 sites in 11 provinces (municipalities) across China from 2016 to 2021 and extracted the genomic DNA from individual adult mosquitoes. We selected eight microsatellite loci for genotyping, and based on microsatellite scores, we estimated intraspecific genetic diversity, population structure, and effective population size. The association between the intrapopulation genetic variation and F1534 mutation rate was evaluated by the Pearson correlation coefficient. RESULTS Based on variation analysis of the microsatellite loci of 453 mosquitoes representing 17 populations throughout China, more than 90% of the variation occurred within individuals, whereas only about 9% of the variation occurred among populations, indicating that field populations of Ae. albopictus are highly polymorphic. The northern populations tended to belong to gene pool I (BJFT 60.4%, SXXA 58.4%, SDJN 56.1%, SXYC 46.8%), the eastern populations tended to belong to pool III (SH 49.5%, JZHZ 48.1%), and the southern populations tended to belong to three different gene pools. Moreover, we observed that the greater the fixation index (FST), the lower the wild-type frequency of F1534 of VSGC. CONCLUSIONS The degree of genetic differentiation among Ae. albopictus populations in China was low. These populations were divided into three gene pools, in which the northern and eastern pools are relatively homogeneous, while the southern gene pool is heterogeneous. The possible correlation between its genetic variations and kdr mutations is also noteworthy.
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Affiliation(s)
- Wenqi Shan
- Department of Naval Medicine, Naval Medical University, Shanghai, 200433, China
| | - Hao Yuan
- Department of Naval Medicine, Naval Medical University, Shanghai, 200433, China
| | - Hanming Chen
- Department of Naval Medicine, Naval Medical University, Shanghai, 200433, China
| | - Haowei Dong
- Department of Medical Microbiology and Parasitology, College of Basic Medical Sciences, Naval Medical University, Shanghai, 200433, China
| | - Qiuming Zhou
- Department of Naval Medicine, Naval Medical University, Shanghai, 200433, China
| | - Feng Tao
- Department of Naval Medicine, Naval Medical University, Shanghai, 200433, China
| | - Jie Bai
- Department of Medical Microbiology and Parasitology, College of Basic Medical Sciences, Naval Medical University, Shanghai, 200433, China
| | - Huiying Chen
- Department of Medical Microbiology and Parasitology, College of Basic Medical Sciences, Naval Medical University, Shanghai, 200433, China
| | - Yajun Ma
- Department of Naval Medicine, Naval Medical University, Shanghai, 200433, China.
| | - Heng Peng
- Department of Medical Microbiology and Parasitology, College of Basic Medical Sciences, Naval Medical University, Shanghai, 200433, China.
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10
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Sang S, Yue Y, Wang Y, Zhang X. The epidemiology and evolutionary dynamics of massive dengue outbreak in China, 2019. Front Microbiol 2023; 14:1156176. [PMID: 37138627 PMCID: PMC10149964 DOI: 10.3389/fmicb.2023.1156176] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2023] [Accepted: 03/29/2023] [Indexed: 05/05/2023] Open
Abstract
Introduction In 2019, China experienced massive dengue outbreaks with high incidence and expanded outbreak areas. The study aims to depict dengue's epidemiology and evolutionary dynamics in China and explore the possible origin of these outbreaks. Methods Records of confirmed dengue cases in 2019 were obtained from the China Notifiable Disease Surveillance System. The sequences of complete envelope gene detected from the outbreak provinces in China in 2019 were retrieved from GenBank. Maximum Likelihood trees were constructed to genotype the viruses. The median-joining network was used to visualize fine-scale genetic relationships. Four methods were used to estimate the selective pressure. Results A total of 22,688 dengue cases were reported, 71.4% of which were indigenous cases and 28.6% were imported cases (including from abroad and from other domestic provinces). The abroad cases were predominantly imported from Southeast Asia countries (94.6%), with Cambodia (3,234 cases, 58.9%), and Myanmar (1,097 cases, 20.0%) ranked as the top two. A total of 11 provinces with dengue outbreaks were identified in the central-south of China, of which Yunnan and Guangdong provinces had the highest number of imported and indigenous cases. The primary source of imported cases in Yunnan was from Myanmar, while in the other ten provinces, the majority of imported cases were from Cambodia. Guangdong, Yunnan and Guangxi provinces were China's primary sources of domestically imported cases. Phylogenetic analysis of the viruses in outbreak provinces revealed three genotypes: (I, IV, and V) in DENV 1, Cosmopolitan and Asian I genotypes in DENV 2, and two genotypes (I and III) in DENV 3. Some genotypes concurrently circulated in different outbreak provinces. Most of the viruses were clustered with those from Southeast Asia. Haplotype network analysis showed that Southeast Asia, possibly Cambodia and Thailand, was the respective origin of the viruses in clade 1 and 4 for DENV 1. Positive selection was detected at codon 386 in clade 1. Conclusion Dengue importation from abroad, especially from Southeast Asia, resulted in the dengue epidemic in China in 2019. Domestic transmission between provinces and positive selection on virus evolution may contribute to the massive dengue outbreaks.
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Affiliation(s)
- Shaowei Sang
- Clinical Epidemiology Unit, Qilu Hospital of Shandong University, Jinan, Shandong, China
- Clinical Research Center of Shandong University, Jinan, Shandong, China
- *Correspondence: Shaowei Sang,
| | - Yujuan Yue
- State Key Laboratory of Infectious Disease Prevention and Control, Chinese Center for Disease Control and Prevention, National Institute for Communicable, Disease Control and Prevention, Beijing, China
| | - Yiguan Wang
- Institute of Ecology and Evolution, University of Edinburgh, Edinburgh, United Kingdom
| | - Xiangwei Zhang
- Department of Thoracic Surgery, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China
- Xiangwei Zhang,
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11
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Du M, Wang R, Yuan J, Lv X, Yan W, Liu Q, Qin C, Xiang N, Zhu L, Liang W, Liu M, Liu J. Trends and disparities in 44 national notifiable infectious diseases in China: An analysis of national surveillance data from 2010 to 2019. J Med Virol 2023; 95:e28353. [PMID: 36443103 PMCID: PMC10107249 DOI: 10.1002/jmv.28353] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2022] [Revised: 10/08/2022] [Accepted: 11/25/2022] [Indexed: 12/02/2022]
Abstract
Research assessing the changing epidemiology of infectious diseases in China after the implementation of new healthcare reform in 2009 was scarce. We aimed to get the latest trends and disparities of national notifiable infectious diseases by age, sex, province, and season in China from 2010 to 2019. The number of incident cases and deaths, incidence rate, and mortality of 44 national notifiable infectious diseases by sex, age groups, and provincial regions from 2010 to 2019 were extracted from the China Information System for Disease Control and Prevention and official reports and divided into six kinds of infectious diseases by transmission routes and three classes (A-C) in this descriptive study. Estimated annual percentage changes (EAPCs) were calculated to quantify the temporal trends of incidence and mortality rate. We calculated the concentration index to measure economic-related inequality. Segmented interrupted time-series analysis was used to estimate the impact of the COVID-19 pandemic on the epidemic of notifiable infectious diseases. The trend of incidence rate on six kinds of infectious diseases by transmission routes was stable, while only mortality of sexual, blood-borne, and mother-to-child-borne infectious diseases increased from 0.6466 per 100 000 population in 2010 to 1.5499 per 100 000 population in 2019 by 8.76% per year (95% confidence interval [CI]: 6.88-10.68). There was a decreasing trend of incidence rate on Class-A infectious diseases (EAPC = -16.30%; 95% CI: -27.93 to -2.79) and Class-B infectious diseases (EAPC = -1.05%; 95% CI: -1.56 to -0.54), while an increasing trend on Class-C infectious diseases (EAPC = 6.22%; 95% CI: 2.13-10.48). For mortality, there was a decreasing trend on Class-C infectious diseases (EAPC = -14.76%; 95% CI: -23.46 to -5.07), and an increasing trend on Class-B infectious diseases (EAPC = 4.56%; 95% CI: 2.44-6.72). In 2019, the infectious diseases with the highest incidence rate and mortality were respiratory diseases (340.95 per 100 000 population), and sexual, blood-borne, and mother-to-child-borne infectious diseases (1.5459 per 100 000 population), respectively. The greatest increasing trend of incidence rate was observed in seasonal influenza, from 4.83 per 100 000 population in 2010 to 253.36 per 100 000 population in 2019 by 45.16% per year (95% CI: 29.81-62.33), especially among females and children aged 0-4 years old. The top disease with the highest mortality was still AIDs, which had the highest average yearly mortality in 24 provinces from 2010 to 2019, and its incidence rate (EAPC = 14.99%; 95% CI: 8.75-21.59) and mortality (EAPC = 9.65; 95%CI: 7.71-11.63) both increased from 2010 to 2019, especially among people aged 44-59 years old and 60 or older. Male incidence rate and mortality were higher than females each year from 2010 to 2018 on 29 and 10 infectious diseases, respectively. Additionally, sex differences in the incidence and mortality of AIDS were becoming larger. The curve lay above the equality line, with the negative value of the concentration index, which indicated that economic-related health disparities exist in the distribution of incidence rate and mortality of respiratory diseases (incidence rate: the concentration index = -0.063, p < 0.0001; mortality: the concentration index = -0.131, p < 0.001), sexual, blood-borne, and mother-to-child-borne infectious diseases (incidence rate: the concentration index = -0.039, p = 0.0192; mortality: the concentration index = -0.207, p < 0.0001), and the inequality disadvantageous to the poor (pro-rich). Respiratory diseases (Dec-Jan), intestinal diseases (May-Jul), zoonotic infectious diseases (Mar-Jul), and vector-borne infectious diseases (Sep-Oct) had distinct seasonal epidemic patterns. In addition, segmented interrupted time-series analyses showed that, after adjusting for potential seasonality, autocorrelation, GDP per capita, number of primary medical institutions, and other factors, there was no significant impact of COVID-19 epidemic on the monthly incidence rate of six kinds of infectious diseases by transmission routes from 2018 to 2020 (all p > 0.05). The incidence rates of six kinds of infectious diseases were stable in the past decade, and incidence rates of Class-A and Class-B infectious diseases were decreasing because of comprehensive prevention and control measures and a strengthened health system after the implementation of the new healthcare reform in China since 2009. However, age, gender, regional, and economic disparities were still observed. Concerted efforts are needed to reduce the impact of seasonal influenza (especially among children aged 0-4 years old) and the mortality of AIDs (especially among people aged 44-59 years old and 60 or older). More attention should be paid to the disparities in the burden of infectious diseases.
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Affiliation(s)
- Min Du
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
| | - Ruitong Wang
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
| | - Jie Yuan
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
| | - Xuan Lv
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
| | - Wenxin Yan
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
| | - Qiao Liu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
| | - Chenyuan Qin
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
| | - Nijuan Xiang
- Chinese Center for Disease Control and Prevention, Beijing, China
| | - Lin Zhu
- Department of Health Policy, School of Medicine, Stanford University, Stanford, California, USA
| | - Wannian Liang
- Vanke School of Public Health, Tsinghua University, Beijing, China
| | - Min Liu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
| | - Jue Liu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China.,Institute for Global Health and Development, Peking University, Beijing, China
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12
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Zeng Q, She L, Yuan H, Luo Y, Wang R, Mao W, Wang W, She Y, Wang C, Shi M, Cao T, Gan R, Li Y, Zhou J, Qian W, Hu S, Wang Y, Zheng X, Li K, Bai L, Pan X, Xi Z. A standalone incompatible insect technique enables mosquito suppression in the urban subtropics. Commun Biol 2022; 5:1419. [PMID: 36575240 PMCID: PMC9793375 DOI: 10.1038/s42003-022-04332-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2022] [Accepted: 12/01/2022] [Indexed: 12/28/2022] Open
Abstract
The strong suppression of Aedes albopictus on two Guangzhou islands in China has been successfully achieved by releasing males with an artificial triple-Wolbachia infection. However, it requires the use of radiation to sterilize residual females to prevent population replacement. To develop a highly effective tool for dengue control, we tested a standalone incompatible insect technique (IIT) to control A. albopictus in the urban area of Changsha, an inland city where dengue recently emerged. Male mosquitoes were produced in a mass rearing facility in Guangzhou and transported over 670 km under low temperature to the release site. After a once-per-week release with high numbers of males (phase I) and a subsequent twice-per-week release with low numbers of males (phase II), the average numbers of hatched eggs and female adults collected weekly per trap were reduced by 97% and 85%, respectively. The population suppression caused a 94% decrease in mosquito biting at the release site compared to the control site. Remarkably, this strong suppression was achieved using only 28% of the number of males released in a previous trial. Despite the lack of irradiation to sterilize residual females, no triple-infected mosquitoes were detected in the field post release based on the monitoring of adult and larval A. albopictus populations for two years, indicating that population replacement was prevented. Our results support the feasibility of implementing a standalone IIT for dengue control in urban areas.
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Affiliation(s)
- Qin Zeng
- grid.411427.50000 0001 0089 3695The Key Laboratory of Model Animals and Stem Cell Biology in Hunan Province, Department of Medical Laboratory Science, Hunan Normal University School of Medicine, Changsha, Hunan PR China ,grid.411427.50000 0001 0089 3695The Key Laboratory of Protein Chemistry and Developmental Biology of Fish of Ministry of Education, Hunan Normal University, Changsha, Hunan PR China
| | - Lingzhi She
- grid.411427.50000 0001 0089 3695The Key Laboratory of Model Animals and Stem Cell Biology in Hunan Province, Department of Medical Laboratory Science, Hunan Normal University School of Medicine, Changsha, Hunan PR China ,grid.411427.50000 0001 0089 3695The Key Laboratory of Protein Chemistry and Developmental Biology of Fish of Ministry of Education, Hunan Normal University, Changsha, Hunan PR China
| | - Hao Yuan
- grid.411427.50000 0001 0089 3695The Key Laboratory of Model Animals and Stem Cell Biology in Hunan Province, Department of Medical Laboratory Science, Hunan Normal University School of Medicine, Changsha, Hunan PR China ,grid.411427.50000 0001 0089 3695The Key Laboratory of Protein Chemistry and Developmental Biology of Fish of Ministry of Education, Hunan Normal University, Changsha, Hunan PR China
| | - Yuying Luo
- grid.411427.50000 0001 0089 3695The Key Laboratory of Model Animals and Stem Cell Biology in Hunan Province, Department of Medical Laboratory Science, Hunan Normal University School of Medicine, Changsha, Hunan PR China ,grid.411427.50000 0001 0089 3695The Key Laboratory of Protein Chemistry and Developmental Biology of Fish of Ministry of Education, Hunan Normal University, Changsha, Hunan PR China
| | - Renke Wang
- grid.411427.50000 0001 0089 3695The Key Laboratory of Model Animals and Stem Cell Biology in Hunan Province, Department of Medical Laboratory Science, Hunan Normal University School of Medicine, Changsha, Hunan PR China ,grid.411427.50000 0001 0089 3695The Key Laboratory of Protein Chemistry and Developmental Biology of Fish of Ministry of Education, Hunan Normal University, Changsha, Hunan PR China
| | - Wei Mao
- grid.411427.50000 0001 0089 3695The Key Laboratory of Model Animals and Stem Cell Biology in Hunan Province, Department of Medical Laboratory Science, Hunan Normal University School of Medicine, Changsha, Hunan PR China ,grid.411427.50000 0001 0089 3695The Key Laboratory of Protein Chemistry and Developmental Biology of Fish of Ministry of Education, Hunan Normal University, Changsha, Hunan PR China
| | - Weifeng Wang
- grid.411427.50000 0001 0089 3695The Key Laboratory of Model Animals and Stem Cell Biology in Hunan Province, Department of Medical Laboratory Science, Hunan Normal University School of Medicine, Changsha, Hunan PR China ,grid.411427.50000 0001 0089 3695The Key Laboratory of Protein Chemistry and Developmental Biology of Fish of Ministry of Education, Hunan Normal University, Changsha, Hunan PR China
| | - Yueting She
- grid.411427.50000 0001 0089 3695The Key Laboratory of Model Animals and Stem Cell Biology in Hunan Province, Department of Medical Laboratory Science, Hunan Normal University School of Medicine, Changsha, Hunan PR China ,grid.411427.50000 0001 0089 3695The Key Laboratory of Protein Chemistry and Developmental Biology of Fish of Ministry of Education, Hunan Normal University, Changsha, Hunan PR China
| | - Chaojun Wang
- grid.411427.50000 0001 0089 3695The Key Laboratory of Model Animals and Stem Cell Biology in Hunan Province, Department of Medical Laboratory Science, Hunan Normal University School of Medicine, Changsha, Hunan PR China ,grid.411427.50000 0001 0089 3695The Key Laboratory of Protein Chemistry and Developmental Biology of Fish of Ministry of Education, Hunan Normal University, Changsha, Hunan PR China
| | - Mengyi Shi
- grid.411427.50000 0001 0089 3695The Key Laboratory of Model Animals and Stem Cell Biology in Hunan Province, Department of Medical Laboratory Science, Hunan Normal University School of Medicine, Changsha, Hunan PR China ,grid.411427.50000 0001 0089 3695The Key Laboratory of Protein Chemistry and Developmental Biology of Fish of Ministry of Education, Hunan Normal University, Changsha, Hunan PR China
| | - Ting Cao
- grid.411427.50000 0001 0089 3695The Key Laboratory of Model Animals and Stem Cell Biology in Hunan Province, Department of Medical Laboratory Science, Hunan Normal University School of Medicine, Changsha, Hunan PR China ,grid.411427.50000 0001 0089 3695The Key Laboratory of Protein Chemistry and Developmental Biology of Fish of Ministry of Education, Hunan Normal University, Changsha, Hunan PR China
| | - Renxian Gan
- Guangzhou Wolbaki Biotech Co., Ltd, Guangzhou, Guangdong PR China
| | - Yongjun Li
- Guangzhou Wolbaki Biotech Co., Ltd, Guangzhou, Guangdong PR China ,grid.258164.c0000 0004 1790 3548Present Address: Department of Pathogen Biology, School of Medicine, Jinan University, Guangzhou, PR China
| | - Jiayi Zhou
- Guangzhou Wolbaki Biotech Co., Ltd, Guangzhou, Guangdong PR China
| | - Wei Qian
- Guangzhou Wolbaki Biotech Co., Ltd, Guangzhou, Guangdong PR China
| | - Shixiong Hu
- grid.508374.dHunan Provincial Center for Disease Control and Prevention, Changsha, Hunan PR China
| | - Yong Wang
- grid.216417.70000 0001 0379 7164Department of Forensic Science, School of Basic Medical Science, Central South University, Changsha, Hunan PR China
| | - Xiaoying Zheng
- grid.12981.330000 0001 2360 039XSun Yat-sen University—Michigan State University Joint Center of Vector Control for Tropical Diseases, Zhongshan School of Medicine, Sun Yat-Sen University, Guangzhou, Guangdong PR China
| | - Kuibiao Li
- grid.508371.80000 0004 1774 3337Guangzhou Center for Disease Control and Prevention, Guangzhou, Guangdong PR China
| | - Lianyang Bai
- grid.410598.10000 0004 4911 9766Hunan Academy of Agricultural Sciences, Changsha, Hunan PR China
| | - Xiaoling Pan
- grid.411427.50000 0001 0089 3695The Key Laboratory of Model Animals and Stem Cell Biology in Hunan Province, Department of Medical Laboratory Science, Hunan Normal University School of Medicine, Changsha, Hunan PR China ,grid.411427.50000 0001 0089 3695The Key Laboratory of Protein Chemistry and Developmental Biology of Fish of Ministry of Education, Hunan Normal University, Changsha, Hunan PR China
| | - Zhiyong Xi
- Guangzhou Wolbaki Biotech Co., Ltd, Guangzhou, Guangdong PR China ,grid.17088.360000 0001 2150 1785Department of Microbiology and Molecular Genetics, Michigan State University, East Lansing, MI USA
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Su W, Jiang L, Lu W, Xie H, Cao Y, Di B, Li Y, Nie K, Wang H, Zhang Z, Xu S. A Serotype-Specific and Multiplex PCR Method for Whole-Genome Sequencing of Dengue Virus Directly from Clinical Samples. Microbiol Spectr 2022; 10:e0121022. [PMID: 36094197 PMCID: PMC9602986 DOI: 10.1128/spectrum.01210-22] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2022] [Accepted: 08/16/2022] [Indexed: 12/30/2022] Open
Abstract
Dengue virus (DENV) is the most globally prevalent member of the genus Flavivirus in the family Flaviviridae, which can be classified into four serotypes. Historically, molecular epidemiological studies of DENV depended on E gene sequencing. The development of next-generation sequencing (NGS) allowed its application to viral whole-genome sequencing (WGS). In this study, we report the improvement of the existing WGS process for DENV by optimizing the primer design procedure, designing serotype-specific primer panels and reducing the sizes of amplicons. A total of 31 DENV-positive serum samples belonging to 4 serotypes and 9 genotypes of DENV were involved in the validation of the primer panels. The threshold cycle (CT) values of these samples ranged from 23.91 to 35.11. The validation results showed that the length of consensus sequences generated at a coverage depth of 20× or more ranged from 10,370 to 10,672 bp, with 100.00% coverage of the open reading frames and 97.34% to 99.52% coverage of the DENV genome. The amplification efficiency varied across amplicons, genotypes, and serotypes of DENVs. These results indicate that the serotype-specific primer panels allow users to obtain the whole genome of DENV directly from clinical samples, providing a universal, rapid, and effective tool for the integration of genomics with dengue surveillance. IMPORTANCE Dengue virus (DENV) is becoming the most globally prevalent arbovirus. The number of people living under the threat of DENV is increasing year by year. With the development of next-generation sequencing (NGS) technology, whole-genome sequencing (WGS) has been more and more widely used in infectious disease surveillance and molecular epidemiological studies. DENV population sequencing by NGS can increase our understanding of the changing epidemiology and evolution of the DENV genome at the molecular level, which demands universal primer panels and combination with NGS platforms. Multiplex PCR with a short-amplicon approach proved superior for amplifying viral genomes from clinical samples, particularly when the viral RNA was present at low concentrations. Additionally, DENV are known for their genetic diversity within serotype groups and geographical regions, so the primer panels we designed focused on universality, which would be useful in future local DENV outbreaks.
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Affiliation(s)
- Wenzhe Su
- Guangzhou Center for Disease Control and Prevention, Guangzhou, China
- Institute of Public Health, Guangzhou Medical University & Guangzhou Center for Disease Control and Prevention, Guangzhou, China
| | - Liyun Jiang
- Guangzhou Center for Disease Control and Prevention, Guangzhou, China
- Institute of Public Health, Guangzhou Medical University & Guangzhou Center for Disease Control and Prevention, Guangzhou, China
| | - Weizhi Lu
- Guangzhou Center for Disease Control and Prevention, Guangzhou, China
- Institute of Public Health, Guangzhou Medical University & Guangzhou Center for Disease Control and Prevention, Guangzhou, China
| | - Huaping Xie
- Guangzhou Center for Disease Control and Prevention, Guangzhou, China
- Institute of Public Health, Guangzhou Medical University & Guangzhou Center for Disease Control and Prevention, Guangzhou, China
| | - Yimin Cao
- Guangzhou Center for Disease Control and Prevention, Guangzhou, China
- Institute of Public Health, Guangzhou Medical University & Guangzhou Center for Disease Control and Prevention, Guangzhou, China
| | - Biao Di
- Guangzhou Center for Disease Control and Prevention, Guangzhou, China
- Institute of Public Health, Guangzhou Medical University & Guangzhou Center for Disease Control and Prevention, Guangzhou, China
| | - Yan Li
- Shandong Center for Disease Control and Prevention, Jinan, China
| | - Kai Nie
- Department of Arboviruses, NHC Key Laboratory of Biosafety, National Institute for Viral Disease Control and Prevention, Beijing, China
- State Key Laboratory for Infectious Disease Control and Prevention, Beijing, China
| | - Huanyu Wang
- Department of Arboviruses, NHC Key Laboratory of Biosafety, National Institute for Viral Disease Control and Prevention, Beijing, China
- State Key Laboratory for Infectious Disease Control and Prevention, Beijing, China
| | - Zhoubin Zhang
- Guangzhou Center for Disease Control and Prevention, Guangzhou, China
- Institute of Public Health, Guangzhou Medical University & Guangzhou Center for Disease Control and Prevention, Guangzhou, China
| | - Songtao Xu
- Department of Arboviruses, NHC Key Laboratory of Biosafety, National Institute for Viral Disease Control and Prevention, Beijing, China
- State Key Laboratory for Infectious Disease Control and Prevention, Beijing, China
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14
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Development and Characterization of a Genetically Stable Infectious Clone for a Genotype I Isolate of Dengue Virus Serotype 1. Viruses 2022; 14:v14092073. [PMID: 36146879 PMCID: PMC9501529 DOI: 10.3390/v14092073] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2022] [Revised: 09/15/2022] [Accepted: 09/16/2022] [Indexed: 11/16/2022] Open
Abstract
Dengue virus (DENV) is primarily transmitted by the bite of an infected mosquito of Aedes aegypti and Aedes albopictus, and symptoms caused may range from mild dengue fever to severe dengue hemorrhagic fever and dengue shock syndrome. Reverse genetic system represents a valuable tool for the study of DENV virology, infection, pathogenesis, etc. Here, we generated and characterized an eukaryotic-activated full-length infectious cDNA clone for a DENV serotype 1 (DENV-1) isolate, D19044, collected in 2019. Initially, nearly the full genome was determined by sequencing overlapping RT-PCR products, and was classified to be genotype I DENV-1. D19044 wild-type cDNA clone (D19044_WT) was assembled by four subgenomic fragments, in a specific order, into a low-copy vector downstream the CMV promoter. D19044_WT released the infectious virus at a low level (1.26 × 103 focus forming units per milliliter [FFU/mL]) following plasmid transfection of BHK-21 cells. Further adaptation by consecutive virus passages up to passage 37, and seven amino acid substitutions (7M) were identified from passage-recovered viruses. The addition of 7M (D19044_7M) greatly improved viral titer (7.5 × 104 FFU/mL) in transfected BHK-21 culture, and virus infections in 293T, Huh7.5.1, and C6/36 cells were also efficient. D19044_7M plasmid was genetically stable in transformant bacteria after five transformation-purification cycles, which did not change the capacity of producing infectious virus. Moreover, the D19044_7M virus was inhibited by mycophenolic acid in a dose-dependent manner. In conclusion, we have developed a DNA-launched full-length infectious clone for a genotype I isolate of DENV-1, with genetic stability in transformant bacteria, thus providing a useful tool for the study of DENV-1.
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15
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Liu S, Wang J, Yang J, Wen Y. The underlying mechanism of Guillain-Barré syndrome in a young patient suffered from Japanese encephalitis virus infection: a case report. Virol J 2022; 19:139. [PMID: 36050705 PMCID: PMC9434870 DOI: 10.1186/s12985-022-01870-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2022] [Accepted: 08/24/2022] [Indexed: 11/10/2022] Open
Abstract
Background The presentation of Guillain–Barré syndrome (GBS) caused by Japanese encephalitis virus (JEV) is uncommon, although clusters of GBS cases were observed in China in 2018. The underlying mechanism is unclear, particularly in individuals vaccinated against Japanese encephalitis in childhood. Case presentation We report a patient with acute flaccid paralysis involving four extremities and respiratory muscles, while magnetic resonance imaging of the brain and spine were standard. Electrophysiological examination displayed slowed motor nerve conduction speed and reduced evoked velocity amplitude. GBS was finally considered which was related to JEV infection verified by positive anti-JEV immunoglobulin M antibody and positive immunoglobulin G antibody in the serum. Unfortunately, the patient refused intravenous immunoglobulin and declined the use of mechanical ventilation again. He voluntarily withdrew from the hospital and died on the 36th day after the onset of illness. We also performed a review of previously reported related cases and discussed the underlying mechanism. Conclusion JEV infection-associated GBS is unusual. We should pay attention to the atypical manifestations of JEV infection and explore possible pathogenesis in particular individuals.
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Affiliation(s)
- Sheng Liu
- Department of Infectious Diseases, The First Affiliated Hospital of China Medical University, No. 155, Nanjing North Street, Heping District, Shenyang, Liaoning Province, China
| | - Jinyong Wang
- Department of Infectious Diseases, The First Affiliated Hospital of China Medical University, No. 155, Nanjing North Street, Heping District, Shenyang, Liaoning Province, China
| | - Jun Yang
- Neurology Department, The First Affiliated Hospital of China Medical University, Shenyang, Liaoning Province, China.
| | - Ying Wen
- Department of Infectious Diseases, The First Affiliated Hospital of China Medical University, No. 155, Nanjing North Street, Heping District, Shenyang, Liaoning Province, China.
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16
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Mosquito Repellents: Efficacy Tests of Commercial Skin-Applied Products in China. Molecules 2022; 27:molecules27175534. [PMID: 36080301 PMCID: PMC9458079 DOI: 10.3390/molecules27175534] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2022] [Revised: 08/17/2022] [Accepted: 08/25/2022] [Indexed: 11/24/2022] Open
Abstract
As a prevention tool for mosquito-borne diseases, mosquito repellents have received substantial attention. To make a convincing recommendation for repellent products to Chinese consumers, we compared the protection time (landing time and probing time) of the 26 best-selling commercial repellents in the Chinese market in a controlled laboratory environment. The data were analyzed by one-way ANOVA. Meanwhile, prices and favorable rates of repellents are also taken into consideration. In our study, N, N-diethyl-m-toluamide (DEET)-based products provided the longest protection time (0.5–3.88 h landing time and/or 1–5.63 h probing time) and lower prices (13.9–21.9 yuan) than other components (ethyl butylacetylaminopropionate (IR3535), picaridin, and botanical. Among the 26 selected products, only 17 repellents showed repellency, and the best repellent was Green Jungle (15% DEET), with a mean (±SD) landing and/or probing time of 3.88 ± 1.65 h and/or 5.63 ± 0.36 h. For botanicals, only ICE King, OMNIbaby, and Ren He showed a little repellency. Autan (20% picaridin) performed best in the picaridin group. Run Ben (7% IR3535) stood out from the IR3535 group. In conclusion, DEET repellent is highly recommended to consumers. The combination of botanicals and synthesized chemicals is a new prospect for eco-friendly repellents.
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Ren J, Chen Z, Ling F, Huang Y, Gong Z, Liu Y, Mao Z, Lin C, Yan H, Shi X, Zhang R, Guo S, Chen E, Wang Z, Sun J. Epidemiology of Indigenous Dengue Cases in Zhejiang Province, Southeast China. Front Public Health 2022; 10:857911. [PMID: 35493348 PMCID: PMC9046573 DOI: 10.3389/fpubh.2022.857911] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2022] [Accepted: 03/14/2022] [Indexed: 11/13/2022] Open
Abstract
Objective Autochthonous transmission of the dengue virus (DENV) occurred each year from 2014 to 2018 in Zhejiang province, and became an emerging public health problem. We characterized the autochthonous transmission of the DENV and traced the source of infection for further control and prevention of dengue. Methods Descriptive and spatiotemporal cluster analyses were conducted to characterize the epidemiology of autochthonous transmission of the DENV. Molecular epidemiology was used to identify the infection source. Results In total, 1,654 indigenous cases and 12 outbreaks, with no deaths, were reported during 2004–2018. Before 2017, all outbreaks occurred in suburban areas. During 2017–2018, five out of eight outbreaks occurred in urban areas. The median duration of outbreaks (28 days) in 2017–2018 was shortened significantly (P = 0.028) in comparison with that in 2004–2016 (71 days). The median onset-visiting time, visiting-confirmation time, and onset-confirmation time was 1, 3, and 4 days, respectively. The DENV serotypes responsible for autochthonous transmission in Zhejiang Province were DENV 1, DENV 2, and DENV 3, with DENV 1 being the most frequently reported. Southeast Asia was the predominant source of indigenous infection. Conclusions Zhejiang Province witnessed an increase in the frequency, incidence, and geographic expansion of indigenous Dengue cases in recent years. The more developed coastal and central region of Zhejiang Province was impacted the most.
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Affiliation(s)
- Jiangping Ren
- Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China
- Key Laboratory of Vaccine, Prevention and Control of Infectious Disease of Zhejiang Province, Hangzhou, China
- Zhejiang Provincial Station of Emerging Infectious Disease Control and Prevention, Chinese Academy of Medical Sciences, Hangzhou, China
| | - Zhiping Chen
- Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China
| | - Feng Ling
- Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China
- Key Laboratory of Vaccine, Prevention and Control of Infectious Disease of Zhejiang Province, Hangzhou, China
- Zhejiang Provincial Station of Emerging Infectious Disease Control and Prevention, Chinese Academy of Medical Sciences, Hangzhou, China
| | - Yangmei Huang
- Hangzhou Municipal Center for Disease Control and Prevention, Hangzhou, China
| | - Zhenyu Gong
- Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China
- Key Laboratory of Vaccine, Prevention and Control of Infectious Disease of Zhejiang Province, Hangzhou, China
| | - Ying Liu
- Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China
| | - Zhiyuan Mao
- Department of Tropical Medicine, Tulane School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA, United States
| | - Chunping Lin
- The Center for Disease Control and Prevention of Huangyan District, Taizhou, China
| | - Hao Yan
- Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China
| | - Xuguang Shi
- Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China
| | - Rong Zhang
- Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China
| | - Song Guo
- Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China
| | - Enfu Chen
- Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China
- Key Laboratory of Vaccine, Prevention and Control of Infectious Disease of Zhejiang Province, Hangzhou, China
- Zhejiang Provincial Station of Emerging Infectious Disease Control and Prevention, Chinese Academy of Medical Sciences, Hangzhou, China
- Enfu Chen
| | - Zhen Wang
- Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China
- Zhen Wang
| | - Jimin Sun
- Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China
- Key Laboratory of Vaccine, Prevention and Control of Infectious Disease of Zhejiang Province, Hangzhou, China
- Zhejiang Provincial Station of Emerging Infectious Disease Control and Prevention, Chinese Academy of Medical Sciences, Hangzhou, China
- *Correspondence: Jimin Sun
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