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Wang G, Zhong L, Wang M, Zhou J, Liu S, Miao W, Li L, Liu Y, Guo S, Li H, Wang X, Xie L, Xie M, Fu S, Xuan T, Li F, Yang T, Shao L, Shi M, Li X, Li X, Gao L, Zhai S, Ding J, Wang T, Liu D, Ma G, Wu J, Wan D, Guo J, Zhang X, Wu J, Wang Y, Jin A, Ma L, Yang H, He X, Ma X, Liu H, Ma B, Yang N, Hou X, Xu T, Qin CF, Wang H, Xie P, Wang Z. Peripheral nerve injury associated with JEV infection in high endemic regions, 2016-2020: a multicenter retrospective study in China. Emerg Microbes Infect 2024; 13:2337677. [PMID: 38578315 PMCID: PMC11036900 DOI: 10.1080/22221751.2024.2337677] [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: 11/28/2023] [Accepted: 03/27/2024] [Indexed: 04/06/2024]
Abstract
Previously, we reported a cohort of Japanese encephalitis (JE) patients with Guillain-Barré syndrome. However, the evidence linking Japanese encephalitis virus (JEV) infection and peripheral nerve injury (PNI) remains limited, especially the epidemiology, clinical presentation, diagnosis, treatment, and outcome significantly differ from traditional JE. We performed a retrospective and multicenter study of 1626 patients with JE recorded in the surveillance system of the Chinese Center for Disease Control and Prevention, spanning the years 2016-2020. Cases were classified into type 1 and type 2 JE based on whether the JE was combined with PNI or not. A comparative analysis was conducted on demographic characteristics, clinical manifestations, imaging findings, electromyography data, laboratory results, and treatment outcomes. Among 1626 laboratory confirmed JE patients, 230 (14%) were type 2 mainly located along the Yellow River in northwest China. In addition to fever, headache, and disturbance of consciousness, type 2 patients experienced acute flaccid paralysis of the limbs, as well as severe respiratory muscle paralysis. These patients presented a greater mean length of stay in hospital (children, 22 years [range, 1-34]; adults, 25 years [range, 0-183]) and intensive care unit (children, 16 years [range, 1-30]; adults, 17 years [range, 0-102]). The mortality rate was higher in type 2 patients (36/230 [16%]) compared to type 1 (67/1396 [5%]). The clinical classification of the diagnosis of JE may play a crucial role in developing a rational treatment strategy, thereby mitigating the severity of the disease and potentially reducing disability and mortality rates among patients.
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Affiliation(s)
- Guowei Wang
- The First Clinical Medical School, Ningxia Medical University, Yinchuan, People’s Republic of China
| | - Lianmei Zhong
- Xuanwu Hospital Capital Medical University, Beijing, People’s Republic of China
| | - Manxia Wang
- Department of Neurology, Lanzhou University Second Hospital, Lanzhou, People’s Republic of China
| | - Juan Zhou
- Guangzhou Women and Children’s Medical Center, Guangzhou, People’s Republic of China
| | - Shuting Liu
- Ningxia Medical University, Yinchuan, People’s Republic of China
| | - Wang Miao
- Neuro-Intensive Care Unit, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, People’s Republic of China
| | - Leilei Li
- West China Hospital of Sichuan University, Chengdu, People’s Republic of China
| | - Yonghong Liu
- Department of Neurology, Xijing Hospital, The Air Force Medical University, Xi’an, People’s Republic of China
| | - Shougang Guo
- Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, People’s Republic of China
| | - Haining Li
- Neurology Center, General Hospital of Ningxia Medical University, Yinchuan, People’s Republic of China
| | - Xiaoming Wang
- The Affiliated Hospital of North Sichuan Medical College, Nanchong, People’s Republic of China
| | - Liuqing Xie
- Meishan People’s Hospital, Meishan, People’s Republic of China
| | - Min Xie
- Chengdu Seventh People’s Hospital, Chengdu, People’s Republic of China
| | - Shihong Fu
- 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, People’s Republic of China
| | - Tingting Xuan
- The First Clinical Medical School, Ningxia Medical University, Yinchuan, People’s Republic of China
| | - Fan Li
- 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, People’s Republic of China
| | - Tingting Yang
- Institute of Medical Sciences, General Hospital of Ningxia Medical University, Yinchuan, People’s Republic of China
- Diagnosis and Treatment Engineering Technology Research Center of Nervous System Diseases of Ningxia, Yinchuan, People’s Republic of China
| | - Lufei Shao
- Neurology Center, General Hospital of Ningxia Medical University, Yinchuan, People’s Republic of China
| | - Mingfang Shi
- Department of Pediatrics, Yibin Hospital, Children's Hospital of Chongqing Medical University, Yibin, People’s Republic of China
| | - Xiaocong Li
- The First Clinical Medical School, Ningxia Medical University, Yinchuan, People’s Republic of China
| | - Xiaoling Li
- Department of Neurology, Lanzhou University Second Hospital, Lanzhou, People’s Republic of China
| | - Li Gao
- Baoji Central Hospital, Baoji, People’s Republic of China
| | - Shaopeng Zhai
- Department of Neurology, Lanzhou University Second Hospital, Lanzhou, People’s Republic of China
| | - Jia Ding
- The First People’s Hospital of Tianshui, Tianshui, People’s Republic of China
| | - Tianhong Wang
- The First Hospital of Lanzhou University, Lanzhou, People’s Republic of China
| | - Dayong Liu
- The Affiliated Hospital of Gansu Medical College, Pingliang, People’s Republic of China
| | - Guosheng Ma
- Gansu Provincial People’s Hospital, Lanzhou, People’s Republic of China
| | - Jiang Wu
- The First People’s Hospital of Longnan, Longnan, People’s Republic of China
| | - Dongjun Wan
- The 940th Hospital of Joint Logistic Support Force of Chinese People’s Liberation Army, Lanzhou, People’s Republic of China
| | - Junlin Guo
- Qingyang People's Hospital, Qingyang, People’s Republic of China
| | - Xinbo Zhang
- Department of Neurology, Xijing Hospital, The Air Force Medical University, Xi’an, People’s Republic of China
| | - Jinxia Wu
- Department of Pediatrics, Yibin Hospital, Children's Hospital of Chongqing Medical University, Yibin, People’s Republic of China
| | - Yinxu Wang
- The Affiliated Hospital of North Sichuan Medical College, Nanchong, People’s Republic of China
| | - Ansong Jin
- The First Affiliated Hospital of Kunming Medical University, Kunming, People’s Republic of China
| | - Lei Ma
- Emergency Center, General Hospital of Ningxia Medical University, Yinchuan, People’s Republic of China
| | - Huan Yang
- Emergency Center, General Hospital of Ningxia Medical University, Yinchuan, People’s Republic of China
| | - Xuexian He
- Cerebrospinal Fluid Laboratory, General Hospital of Ningxia Medical University, Yinchuan, People’s Republic of China
| | - Xiaona Ma
- Institute of Medical Sciences, General Hospital of Ningxia Medical University, Yinchuan, People’s Republic of China
- Diagnosis and Treatment Engineering Technology Research Center of Nervous System Diseases of Ningxia, Yinchuan, People’s Republic of China
| | - Huijuan Liu
- Department of Infectious Diseases, General Hospital of Ningxia Medical University, Yinchuan, People’s Republic of China
| | - Boya Ma
- Neurology Center, General Hospital of Ningxia Medical University, Yinchuan, People’s Republic of China
| | - Ningai Yang
- Institute of Medical Sciences, General Hospital of Ningxia Medical University, Yinchuan, People’s Republic of China
- Diagnosis and Treatment Engineering Technology Research Center of Nervous System Diseases of Ningxia, Yinchuan, People’s Republic of China
| | - Xiaolin Hou
- Neurology Center, General Hospital of Ningxia Medical University, Yinchuan, People’s Republic of China
| | - Ting Xu
- General Hospital of Ningxia Medical University, Yinchuan, People’s Republic of China
| | - Cheng-feng Qin
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, People’s Republic of China
| | - Huanyu Wang
- 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, People’s Republic of China
| | - Peng Xie
- NHC Key Laboratory of Diagnosis and Treatment on Brain Functional Diseases, Chongqing, People’s Republic of China
- Department of Neurology, the First Affiliated Hospital of Chongqing Medical University, Chongqing, People’s Republic of China
| | - Zhenhai Wang
- Neurology Center, General Hospital of Ningxia Medical University, Yinchuan, People’s Republic of China
- Institute of Medical Sciences, General Hospital of Ningxia Medical University, Yinchuan, People’s Republic of China
- Diagnosis and Treatment Engineering Technology Research Center of Nervous System Diseases of Ningxia, Yinchuan, People’s Republic of China
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Hernandez-Valencia JC, Muñoz-Laiton P, Gómez GF, Correa MM. A Systematic Review on the Viruses of Anopheles Mosquitoes: The Potential Importance for Public Health. Trop Med Infect Dis 2023; 8:459. [PMID: 37888587 PMCID: PMC10610971 DOI: 10.3390/tropicalmed8100459] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2023] [Revised: 09/20/2023] [Accepted: 09/21/2023] [Indexed: 10/28/2023] Open
Abstract
Anopheles mosquitoes are the vectors of Plasmodium, the etiological agent of malaria. In addition, Anopheles funestus and Anopheles gambiae are the main vectors of the O'nyong-nyong virus. However, research on the viruses carried by Anopheles is scarce; thus, the possible transmission of viruses by Anopheles is still unexplored. This systematic review was carried out to identify studies that report viruses in natural populations of Anopheles or virus infection and transmission in laboratory-reared mosquitoes. The databases reviewed were EBSCO-Host, Google Scholar, Science Direct, Scopus and PubMed. After the identification and screening of candidate articles, a total of 203 original studies were included that reported on a variety of viruses detected in Anopheles natural populations. In total, 161 viruses in 54 species from 41 countries worldwide were registered. In laboratory studies, 28 viruses in 15 Anopheles species were evaluated for mosquito viral transmission capacity or viral infection. The viruses reported in Anopheles encompassed 25 viral families and included arboviruses, probable arboviruses and Insect-Specific Viruses (ISVs). Insights after performing this review include the need for (1) a better understanding of Anopheles-viral interactions, (2) characterizing the Anopheles virome-considering the public health importance of the viruses potentially transmitted by Anopheles and the significance of finding viruses with biological control activity-and (3) performing virological surveillance in natural populations of Anopheles, especially in the current context of environmental modifications that may potentiate the expansion of the Anopheles species distribution.
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Affiliation(s)
- Juan C. Hernandez-Valencia
- Grupo de Microbiología Molecular, Escuela de Microbiología, Universidad de Antioquia, Medellín 050010, Colombia; (J.C.H.-V.); (P.M.-L.); (G.F.G.)
| | - Paola Muñoz-Laiton
- Grupo de Microbiología Molecular, Escuela de Microbiología, Universidad de Antioquia, Medellín 050010, Colombia; (J.C.H.-V.); (P.M.-L.); (G.F.G.)
| | - Giovan F. Gómez
- Grupo de Microbiología Molecular, Escuela de Microbiología, Universidad de Antioquia, Medellín 050010, Colombia; (J.C.H.-V.); (P.M.-L.); (G.F.G.)
- Dirección Académica, Escuela de Pregrados, Universidad Nacional de Colombia, Sede de La Paz, La Paz 202017, Colombia
| | - Margarita M. Correa
- Grupo de Microbiología Molecular, Escuela de Microbiología, Universidad de Antioquia, Medellín 050010, Colombia; (J.C.H.-V.); (P.M.-L.); (G.F.G.)
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Hollingsworth BD, Grubaugh ND, Lazzaro BP, Murdock CC. Leveraging insect-specific viruses to elucidate mosquito population structure and dynamics. PLoS Pathog 2023; 19:e1011588. [PMID: 37651317 PMCID: PMC10470969 DOI: 10.1371/journal.ppat.1011588] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/02/2023] Open
Abstract
Several aspects of mosquito ecology that are important for vectored disease transmission and control have been difficult to measure at epidemiologically important scales in the field. In particular, the ability to describe mosquito population structure and movement rates has been hindered by difficulty in quantifying fine-scale genetic variation among populations. The mosquito virome represents a possible avenue for quantifying population structure and movement rates across multiple spatial scales. Mosquito viromes contain a diversity of viruses, including several insect-specific viruses (ISVs) and "core" viruses that have high prevalence across populations. To date, virome studies have focused on viral discovery and have only recently begun examining viral ecology. While nonpathogenic ISVs may be of little public health relevance themselves, they provide a possible route for quantifying mosquito population structure and dynamics. For example, vertically transmitted viruses could behave as a rapidly evolving extension of the host's genome. It should be possible to apply established analytical methods to appropriate viral phylogenies and incidence data to generate novel approaches for estimating mosquito population structure and dispersal over epidemiologically relevant timescales. By studying the virome through the lens of spatial and genomic epidemiology, it may be possible to investigate otherwise cryptic aspects of mosquito ecology. A better understanding of mosquito population structure and dynamics are key for understanding mosquito-borne disease ecology and methods based on ISVs could provide a powerful tool for informing mosquito control programs.
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Affiliation(s)
- Brandon D Hollingsworth
- Department of Entomology, Cornell University, Ithaca, New York, United States of America
- Cornell Institute for Host Microbe Interaction and Disease, Cornell University, Ithaca, New York, United States of America
| | - Nathan D Grubaugh
- Yale School of Public Health, New Haven, Connecticut, United States of America
- Yale University, New Haven, Connecticut, United States of America
| | - Brian P Lazzaro
- Department of Entomology, Cornell University, Ithaca, New York, United States of America
- Cornell Institute for Host Microbe Interaction and Disease, Cornell University, Ithaca, New York, United States of America
| | - Courtney C Murdock
- Department of Entomology, Cornell University, Ithaca, New York, United States of America
- Cornell Institute for Host Microbe Interaction and Disease, Cornell University, Ithaca, New York, United States of America
- Northeast Regional Center for Excellence in Vector-borne Diseases, Cornell University, Ithaca, New York, United States of America
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Xu J, Wahaab A, Khan S, Nawaz M, Anwar MN, Liu K, Wei J, Hameed M, Ma Z. Recent Population Dynamics of Japanese Encephalitis Virus. Viruses 2023; 15:1312. [PMID: 37376612 DOI: 10.3390/v15061312] [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: 05/01/2023] [Revised: 05/31/2023] [Accepted: 05/31/2023] [Indexed: 06/29/2023] Open
Abstract
Japanese encephalitis virus (JEV) causes acute viral encephalitis in humans and reproductive disorders in pigs. JEV emerged during the 1870s in Japan, and since that time, JEV has been transmitted exclusively throughout Asia, according to known reporting and sequencing records. A recent JEV outbreak occurred in Australia, affecting commercial piggeries across different temperate southern Australian states, and causing confirmed infections in humans. A total of 47 human cases and 7 deaths were reported. The recent evolving situation of JEV needs to be reported due to its continuous circulation in endemic regions and spread to non-endemics areas. Here, we reconstructed the phylogeny and population dynamics of JEV using recent JEV isolates for the future perception of disease spread. Phylogenetic analysis shows the most recent common ancestor occurred about 2993 years ago (YA) (95% Highest posterior density (HPD), 2433 to 3569). Our results of the Bayesian skyline plot (BSP) demonstrates that JEV demography lacks fluctuations for the last two decades, but it shows that JEV genetic diversity has increased during the last ten years. This indicates the potential JEV replication in the reservoir host, which is helping it to maintain its genetic diversity and to continue its dispersal into non-endemic areas. The continuous spread in Asia and recent detection from Australia further support these findings. Therefore, an enhanced surveillance system is needed along with precautionary measures such as regular vaccination and mosquito control to avoid future JEV outbreaks.
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Affiliation(s)
- Jinpeng Xu
- School of Life Sciences and Food Engineering, Hebei University of Engineering, Handan 056038, China
- Shanghai Veterinary Research Institute, Chinese Academy of Agricultural Science, Shanghai 200241, China
| | - Abdul Wahaab
- Shanghai Veterinary Research Institute, Chinese Academy of Agricultural Science, Shanghai 200241, China
| | - Sawar Khan
- Shanghai Veterinary Research Institute, Chinese Academy of Agricultural Science, Shanghai 200241, China
- Institute of Molecular Biology and Biotechnology, The University of Lahore, Lahore 54000, Pakistan
| | - Mohsin Nawaz
- Shanghai Veterinary Research Institute, Chinese Academy of Agricultural Science, Shanghai 200241, China
- Faculty of Veterinary and Animal sciences, University of Poonch, Rawalakot 12350, Pakistan
| | | | - Ke Liu
- Shanghai Veterinary Research Institute, Chinese Academy of Agricultural Science, Shanghai 200241, China
| | - Jianchao Wei
- Shanghai Veterinary Research Institute, Chinese Academy of Agricultural Science, Shanghai 200241, China
| | - Muddassar Hameed
- Shanghai Veterinary Research Institute, Chinese Academy of Agricultural Science, Shanghai 200241, China
- Center for Zoonotic and Arthropod-borne Pathogens, Virginia Polytechnic Institute and State University, Blacksburg, VA 24060, USA
| | - Zhiyong Ma
- Shanghai Veterinary Research Institute, Chinese Academy of Agricultural Science, Shanghai 200241, China
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Li F, Feng Y, Wang G, Zhang W, Fu S, Wang Z, Yin Q, Nie K, Yan J, Deng X, He Y, Liang L, Xu S, Wang Z, Liang G, Wang H. Tracing the spatiotemporal phylodynamics of Japanese encephalitis virus genotype I throughout Asia and the western Pacific. PLoS Negl Trop Dis 2023; 17:e0011192. [PMID: 37053286 PMCID: PMC10128984 DOI: 10.1371/journal.pntd.0011192] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2022] [Revised: 04/25/2023] [Accepted: 02/24/2023] [Indexed: 04/15/2023] Open
Abstract
BACKGROUND Japanese encephalitis virus (JEV; Flaviridae: Flavivirus) causes Japanese encephalitis (JE), which is the most important arboviral disease in Asia and the western Pacific. Among the five JEV genotypes (GI-IV), GI has dominated traditional epidemic regions in the past 20 years. We investigated the transmission dynamics of JEV GI through genetic analyses. METHODS We generated 18 JEV GI near full length sequences by using multiple sequencing approaches from mosquitoes collected in natural settings or from viral isolates obtained through cell culture. We performed phylogenetic and molecular clock analyses to reconstruct the evolutionary history by integrating our data with 113 publicly available JEV GI sequences. RESULTS We identified two subtypes of JEV GI (GIa and GIb), with a rate of 5.94 × 10-4 substitutions per site per year (s/s/y). At present, GIa still circulates within a limited region, exhibited no significant growth, the newest strain was discovered in China (Yunnan) in 2017, whereas most JEV strains circulating belong to the GIb clade. During the past 30 years, two large GIb clades have triggered epidemics in eastern Asia: one epidemic occurred in 1992 [95% highest posterior density (HPD) = 1989-1995] and the causative strain circulates mainly in southern China (Yunnan, Shanghai, Guangdong, and Taiwan) (Clade 1); the other epidemic occurred in 1997 (95% HPD = 1994-1999) and the causative strain has increased in circulation in northern and southern China during the past 5 years (Clade 2). An emerging variant of Clade 2 contains two new amino acid markers (NS2a-151V, NS4-169K) that emerged around 2005; this variant has demonstrated exponential growth in northern China. CONCLUSION JEV GI stain circulating in Asia have shifted during the past 30 years, spatiotemporal differences were observed among JEV GI subclade. GIa is still circulating within a limited range, exhibite no significant growth. Two large GIb clades have triggered epidemics in eastern Asia, all JEV sequences identified in northern China during the past 5 years were of the new emerging variant of G1b-clade 2.
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Affiliation(s)
- Fan Li
- Department of Arboviruses, NHC Key Laboratory of Biosafety, National Institute for Viral Disease Control and Prevention, State Key Laboratory for Infectious Disease Prevention and Control, Chinese Center for Disease Control and Prevention, Beijing, PR China
| | - Yun Feng
- Yunnan Provincial Key Laboratory for Zoonosis Control and Prevention, Yunnan Institute of Endemic Disease Control and Prevention, Dali, PR China
| | - Guowei Wang
- Ningxia Medical University, Yinchuan, PR China
| | - Weijia Zhang
- Department of Arboviruses, NHC Key Laboratory of Biosafety, National Institute for Viral Disease Control and Prevention, State Key Laboratory for Infectious Disease Prevention and Control, Chinese Center for Disease Control and Prevention, Beijing, PR China
| | - Shihong Fu
- Department of Arboviruses, NHC Key Laboratory of Biosafety, National Institute for Viral Disease Control and Prevention, State Key Laboratory for Infectious Disease Prevention and Control, Chinese Center for Disease Control and Prevention, Beijing, PR China
| | - Zuosu Wang
- Liaoning Center for Disease Control and Prevention, Shenyang, PR China
| | - Qikai Yin
- Department of Arboviruses, NHC Key Laboratory of Biosafety, National Institute for Viral Disease Control and Prevention, State Key Laboratory for Infectious Disease Prevention and Control, Chinese Center for Disease Control and Prevention, Beijing, PR China
| | - Kai Nie
- Department of Arboviruses, NHC Key Laboratory of Biosafety, National Institute for Viral Disease Control and Prevention, State Key Laboratory for Infectious Disease Prevention and Control, Chinese Center for Disease Control and Prevention, Beijing, PR China
| | - Juying Yan
- Zhejiang Center for Disease Control and Prevention, Hangzhou, PR China
| | - Xuan Deng
- Zhejiang Center for Disease Control and Prevention, Hangzhou, PR China
| | - Ying He
- Department of Arboviruses, NHC Key Laboratory of Biosafety, National Institute for Viral Disease Control and Prevention, State Key Laboratory for Infectious Disease Prevention and Control, Chinese Center for Disease Control and Prevention, Beijing, PR China
| | - Liang Liang
- Guangxi Zhuang Autonomous Region Center for Disease Control and Prevention, Nanning, PR China
| | - Songtao Xu
- Department of Arboviruses, NHC Key Laboratory of Biosafety, National Institute for Viral Disease Control and Prevention, State Key Laboratory for Infectious Disease Prevention and Control, Chinese Center for Disease Control and Prevention, Beijing, PR China
| | - Zhenhai Wang
- Department of Neurology, General Hospital of Ningxia Medical University, Engineering Research Center for Diagnosis and Treatment of Ningxia Nervous System Diseases, Yinchuan, PR China
| | - Guodong Liang
- Department of Arboviruses, NHC Key Laboratory of Biosafety, National Institute for Viral Disease Control and Prevention, State Key Laboratory for Infectious Disease Prevention and Control, Chinese Center for Disease Control and Prevention, Beijing, PR China
| | - Huanyu Wang
- Department of Arboviruses, NHC Key Laboratory of Biosafety, National Institute for Viral Disease Control and Prevention, State Key Laboratory for Infectious Disease Prevention and Control, Chinese Center for Disease Control and Prevention, Beijing, PR China
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Li C, Liu S, Zhou H, Zhu W, Cui M, Li J, Wang J, Liu J, Zhu J, Li W, Bi Y, Carr MJ, Holmes EC, Shi W. Metatranscriptomic Sequencing Reveals Host Species as an Important Factor Shaping the Mosquito Virome. Microbiol Spectr 2023; 11:e0465522. [PMID: 36786616 PMCID: PMC10101097 DOI: 10.1128/spectrum.04655-22] [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: 11/15/2022] [Accepted: 01/18/2023] [Indexed: 02/15/2023] Open
Abstract
Mosquitoes are important vector hosts for numerous viral pathogens and harbor a large number of mosquito-specific viruses as well as human-infecting viruses. Previous studies have mainly focused on the discovery of mosquito viruses, and our understanding of major ecological factors associated with virome structure in mosquitoes remains limited. We utilized metatranscriptomic sequencing to characterize the viromes of five mosquito species sampled across eight locations in Yunnan Province, China. This revealed the presence of 52 viral species, of which 19 were novel, belonging to 15 viral families/clades. Of particular note was Culex hepacivirus 1, clustering within the avian clade of hepaciviruses. Notably, both the viromic diversity and abundance of Aedes genus mosquitoes were significantly higher than those of the Culex genus, while Aedes albopictus mosquitoes harbored a higher diversity than Aedes aegypti mosquitoes. Our findings thus point to discernible differences in viromic structure between mosquito genera and even between mosquito species within the same genus. Importantly, such differences were not attributable to differences in sampling between geographical location. Our study also revealed the ubiquitous presence of the endosymbiont bacterium Wolbachia, with the genetic diversity and abundance also varying between mosquito species. In conclusion, our results suggested that the mosquito host species play an important role in shaping the virome's structure. IMPORTANCE This study revealed the huge capability of mosquitoes in harboring a rich diversity of RNA viruses, although relevant studies have characterized the intensively unparalleled diversity of RNA viruses previously. Furthermore, our findings showed discernible differences not only in viromic structure between mosquito genera and even between mosquito species within the same genus but also in the genetic diversity and abundance of Wolbachia between different mosquito populations. These findings emphasize the importance of host genetic background in shaping the virome composition of mosquitoes.
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Affiliation(s)
- Cixiu Li
- Department of Pathogen Biology, School of Clinical and Basic Medicine, Shandong First Medical University & Shandong Academy of Medical Sciences, Ji’nan, China
- Key Laboratory of Emerging Infectious Diseases in Universities of Shandong, Shandong First Medical University & Shandong Academy of Medical Sciences, Taian, China
| | - Shuqi Liu
- Department of Pathogen Biology, School of Clinical and Basic Medicine, Shandong First Medical University & Shandong Academy of Medical Sciences, Ji’nan, China
- Key Laboratory of Emerging Infectious Diseases in Universities of Shandong, Shandong First Medical University & Shandong Academy of Medical Sciences, Taian, China
| | - Hong Zhou
- Department of Pathogen Biology, School of Clinical and Basic Medicine, Shandong First Medical University & Shandong Academy of Medical Sciences, Ji’nan, China
- Key Laboratory of Emerging Infectious Diseases in Universities of Shandong, Shandong First Medical University & Shandong Academy of Medical Sciences, Taian, China
| | - Wei Zhu
- Department of Pathogen Biology, School of Clinical and Basic Medicine, Shandong First Medical University & Shandong Academy of Medical Sciences, Ji’nan, China
- Key Laboratory of Emerging Infectious Diseases in Universities of Shandong, Shandong First Medical University & Shandong Academy of Medical Sciences, Taian, China
| | - Mingxue Cui
- Department of Pathogen Biology, School of Clinical and Basic Medicine, Shandong First Medical University & Shandong Academy of Medical Sciences, Ji’nan, China
- Key Laboratory of Emerging Infectious Diseases in Universities of Shandong, Shandong First Medical University & Shandong Academy of Medical Sciences, Taian, China
| | - Juan Li
- Department of Pathogen Biology, School of Clinical and Basic Medicine, Shandong First Medical University & Shandong Academy of Medical Sciences, Ji’nan, China
- Key Laboratory of Emerging Infectious Diseases in Universities of Shandong, Shandong First Medical University & Shandong Academy of Medical Sciences, Taian, China
| | - Jiao Wang
- Mengla County Center for Disease Control and Prevention, Mengla, China
| | - Jiangyun Liu
- Mengla County Center for Disease Control and Prevention, Mengla, China
| | - Jin Zhu
- Xishuangbanna Prefecture Center for Disease Control and Prevention, Jinghong, China
| | - Weiping Li
- Xishuangbanna Prefecture Center for Disease Control and Prevention, Jinghong, China
| | - Yuhai Bi
- Key Laboratory of Pathogenic Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China
| | - Michael J. Carr
- National Virus Reference Laboratory, School of Medicine, University College Dublin, Dublin, Ireland
- International Collaboration Unit, International Institute for Zoonosis Control, Hokkaido University, Sapporo, Japan
| | - Edward C. Holmes
- Sydney Institute for Infectious Diseases, School of Medical Sciences, The University of Sydney, Sydney, New South Wales, Australia
| | - Weifeng Shi
- Key Laboratory of Emerging Infectious Diseases in Universities of Shandong, Shandong First Medical University & Shandong Academy of Medical Sciences, Taian, China
- School of Public Health, Shandong First Medical University & Shandong Academy of Medical Sciences, Ji’nan, China
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Wu Q, Guo C, Li XK, Yi BY, Li QL, Guo ZM, Lu JH. A meta-transcriptomic study of mosquito virome and blood feeding patterns at the human-animal-environment interface in Guangdong Province, China. One Health 2023; 16:100493. [PMID: 36817976 PMCID: PMC9932184 DOI: 10.1016/j.onehlt.2023.100493] [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: 09/24/2022] [Revised: 01/25/2023] [Accepted: 01/26/2023] [Indexed: 02/04/2023] Open
Abstract
Mosquitoes are a formidable reservoir of viruses and important vectors of zoonotic pathogens. Blood-fed mosquitoes have been utilized to determine host infection status, overcoming the difficulties associated with sampling from human and animal populations. Comprehensive surveillance of potential pathogens at the interface of humans, animals, and the environment is currently an accredited method to provide an early warning of emerging or re-emerging infectious diseases and to proactively respond to them. Herein we performed comprehensive sampling of mosquitoes from seven habitats (residential areas, hospital, airplane, harbor, zoo, domestic sheds, and forest park) across five cities in Guangdong Province, China. Our aim was to characterize the viral communities and blood feeding patterns at the human-animal-environment interface and analyze the potential risk of cross-species transmission using meta-transcriptomic sequencing. 1898 female adult mosquitoes were collected, including 1062 Aedes and 836 Culex mosquitoes, of which approximately 12% (n = 226) were satiated with blood. Consequently, 101 putative viruses were identified, which included DNA and RNA viruses, and positive-stranded RNA viruses (+ssRNA) were the most abundant. According to viral diversity analysis, the composition of the viral structure was highly dependent on host species, and Culex mosquitoes showed richer viral diversity than Aedes mosquitoes. Although the virome of mosquitoes from different sampling habitats showed an overlap of 39.6%, multiple viruses were specific to certain habitats, particularly at the human-animal interface. Blood meal analysis found four mammals and one bird bloodmeal source, including humans, dogs, cats, poultry, and rats. Further, the blood feeding patterns of mosquitoes were found to be habitat dependent, and mosquitoes at the human-animal interface and from forests had a wider choice of hosts, including humans, domesticated animals, and wildlife, which in turn considerably increases the risk of spillover of potential zoonotic pathogens. To summarize, we are the first to investigate the virome of mosquitoes from multiple interfaces based on the One Health concept. The characteristics of viral community and blood feeding patterns of mosquitoes at the human-animal-environment interface were determined. Our findings should support surveillance activities to identify known and potential pathogens that are pathogenic to vertebrates.
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Affiliation(s)
- Qin Wu
- School of Public Health, Sun Yat-Sen University, Guangzhou 510080, China,One Health Center of Excellence for Research & Training, Sun Yat-Sen University, Guangzhou 510080, China
| | - Cheng Guo
- Center for Infection and Immunity, Mailman School of Public Health, Columbia University, New York 10032, USA
| | - Xiao-kang Li
- School of Public Health, Sun Yat-Sen University, Guangzhou 510080, China,One Health Center of Excellence for Research & Training, Sun Yat-Sen University, Guangzhou 510080, China
| | - Bo-Yang Yi
- School of Public Health, Sun Yat-Sen University, Guangzhou 510080, China,One Health Center of Excellence for Research & Training, Sun Yat-Sen University, Guangzhou 510080, China
| | - Qian-Lin Li
- School of Public Health, Sun Yat-Sen University, Guangzhou 510080, China,One Health Center of Excellence for Research & Training, Sun Yat-Sen University, Guangzhou 510080, China
| | - Zhong-Min Guo
- Laboratory Animal Center, Sun Yat-Sen University, Guangzhou 510080, China,Corresponding author.
| | - Jia-Hai Lu
- School of Public Health, Sun Yat-Sen University, Guangzhou 510080, China,One Health Center of Excellence for Research & Training, Sun Yat-Sen University, Guangzhou 510080, China,National Medical Products Administration Key Laboratory for Quality Monitoring and Evaluation of Vaccines and Biological Products, Guangzhou 510080, China,Hainan Key Novel Thinktank “Hainan Medical University ‘One Health’ Research Center”, Haikou 571199, China,Key Laboratory of Tropical Diseases Control, Sun Yat-Sen University, Ministry of Education, Guangzhou 510080, China,Corresponding author at: School of Public Health, Sun Yat-Sen University, Guangzhou 510080, China.
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Potential Mammalian Vector-Borne Diseases in Live and Wet Markets in Indonesia and Myanmar. MICROBIOLOGY RESEARCH 2023. [DOI: 10.3390/microbiolres14010011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/24/2023] Open
Abstract
Vector-borne diseases spread from wild animals and their associated ectoparasites to humans and domesticated animals. Wildlife markets are recognized as important areas where this transfer can take place. We assessed the potential for spreading vector-borne diseases in two live and wet markets in Myanmar (Mong La, on the Myanmar-China border) and Indonesia (Sukahaji in Bandung on the island of Java) by making an inventory of all live and freshly killed wild mammals for sale. For eight mammal families, we quantified the number of animals on offer, and we used a heatmap cluster analysis to map vector-borne diseases that these families may carry. In Myanmar, we observed large numbers of wild pigs and deer (potentially carrying West Nile and various encephalitis viruses) whereas in Indonesia we observed Old World fruit bats (potentially carrying Chikungunya and encephalitis viruses) and squirrels (potentially carrying West Nile and encephalitis viruses). The trade in Indonesia was dominated by live mammals offered for sale as pets, and only Old World fruit bats and squirrels traded for traditional Asian medicine were killed in the markets. The trade in Myanmar was more geared towards wild meat (e.g., wild pigs, deer, primates) and traditional Asian medicine (squirrels). The combined risks of vector-borne diseases spreading from traded animals to human health highlight the need for an integrated approach protecting public health, economic interests and biodiversity.
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Tian F, He J, Shang S, Chen Z, Tang Y, Lu M, Huang C, Guo X, Tong Y. Survey of mosquito species and mosquito-borne viruses in residential areas along the Sino-Vietnam border in Yunnan Province in China. Front Microbiol 2023; 14:1105786. [PMID: 36910188 PMCID: PMC9996012 DOI: 10.3389/fmicb.2023.1105786] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2022] [Accepted: 01/30/2023] [Indexed: 02/25/2023] Open
Abstract
Mosquitoes are capable of carrying complex pathogens, and their feeding habits on the mammalian blood can easily mediate the spread of viruses. Surveillance of mosquito-based arbovirus enables the early prevention and control of mosquito-borne arboviral diseases. The climate and geography of Yunnan Province in China are ideal for mosquitoes. Yunnan shares borders with several other countries; therefore, there exists a high risk of international transmission of mosquito-mediated infectious diseases. Previous studies have focused more on the Sino-Laos and Sino-Myanmar borders. Therefore, we focused on the neighborhoods of Malipo and Funing counties in Wenshan Prefecture, Yunnan Province, China, which are located along the Sino-Vietnam border, to investigate the species of mosquitoes and mosquito-borne viruses in the residential areas of this region. This study collected 10,800 mosquitoes from 29 species of 8 genera and grouped to isolate mosquito-borne viruses. In total, 62 isolates were isolated and classified into 11 viral categories. We demonstrated a new distribution of mosquito-borne viruses among mosquitoes in border areas, including Tembusu and Getah viruses, which can cause animal outbreaks. In addition, Dak Nong and Sarawak viruses originating from Vietnam and Malaysia, respectively, were identified for the first time in China, highlighting the complexity of mosquito-borne viruses in the Sino-Vietnam border region. The awareness of the importance of viral surveillance and prevention measures in border areas should be further encouraged to prevent future outbreaks of potentially infectious diseases.
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Affiliation(s)
- Fengjuan Tian
- Beijing Advanced Innovation Center for Soft Matter Science and Engineering, College of Life Science and Technology, Beijing University of Chemical Technology, Beijing, China
| | - Jimin He
- The Second Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, China
| | - Shanlin Shang
- Malipo County Center for Disease Control and Prevention, Wenshanzhou, Yunnan, China
| | - Zhongyan Chen
- Malipo County Center for Disease Control and Prevention, Wenshanzhou, Yunnan, China
| | - Yumei Tang
- Funing County Center for Disease Control and Prevention, Wenshanzhou, Yunnan, China
| | - Man Lu
- Funing County Center for Disease Control and Prevention, Wenshanzhou, Yunnan, China
| | - Changzhi Huang
- Funing County Center for Disease Control and Prevention, Wenshanzhou, Yunnan, China
| | - Xiaofang Guo
- Yunnan Provincial Key Laboratory of Vector-borne Disease Control and Research, Yunnan Institute of Parasitic Diseases Control, Puer, Yunnan, China
| | - Yigang Tong
- Beijing Advanced Innovation Center for Soft Matter Science and Engineering, College of Life Science and Technology, Beijing University of Chemical Technology, Beijing, China
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Zhang D, Peng C, Li C, Li Y, Zhang H, Li N, Xiao P. Metavirome Analysis of Culex tritaeniorhynchus Reveals Novel Japanese Encephalitis Virus and Chikungunya Virus. Front Cell Infect Microbiol 2022; 12:938576. [PMID: 35846772 PMCID: PMC9280054 DOI: 10.3389/fcimb.2022.938576] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2022] [Accepted: 05/31/2022] [Indexed: 11/14/2022] Open
Abstract
To explore the Culex tritaeniorhynchuses–specific virome, 6400 C. tritaeniorhynchuses were collected in Honghe autonomous prefecture, China. Abundant virus sequences were obtained from 28 viral families using metavirome sequencing. Herein, several viruses in C. tritaeniorhynchuses virome were verified using the PCR technique, which covers Japanese encephalitis virus (JEV), Getah virus, and even Chikungunya virus (CHIKV). Seven JEV gene sequences were amplified successfully, of which JEV-China/CT2016E-1 shared the highest homology with the known JEV sequence isolated in Korea, 1946, with at least 96.1% nucleotide (nt) identity, which belonged to genotype III. Nine CHIKV gene sequences were amplified, which shared the highest with at least 93.0% nt identity with CHIKV from Thailand isolated in 2007, which was assigned to genotype Asian. Remarkably, CHIKV was isolated from C. tritaeniorhynchus in China for the first time. It was initially confirmed that the isolated virus CHIKV-China/CT2016-1 may increase infectivity after passaging in Vero cells from BHK-21 cells. Collectively, our study reveals the diversity, properties, and potential virus susceptibility dynamics of the C. tritaeniorhynchus virome and sheds new perspectives on the viral ecology in other important biological vectors.
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Affiliation(s)
- Duo Zhang
- Wenzhou Key Laboratory for Virology and Immunology, Institute of Virology, Wenzhou University, Wenzhou, China
| | - Chengcheng Peng
- Wenzhou Key Laboratory for Virology and Immunology, Institute of Virology, Wenzhou University, Wenzhou, China
| | - Chenghui Li
- College of Agriculture, Yanbian University, Yanji, China
| | - Yiquan Li
- Academician Workstation of Jilin Province, Changchun University of Chinese Medicine, Changchun, China
| | - He Zhang
- Changchun Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Changchun, China
| | - Nan Li
- Wenzhou Key Laboratory for Virology and Immunology, Institute of Virology, Wenzhou University, Wenzhou, China
- *Correspondence: Nan Li, ; Pengpeng Xiao,
| | - Pengpeng Xiao
- Wenzhou Key Laboratory for Virology and Immunology, Institute of Virology, Wenzhou University, Wenzhou, China
- *Correspondence: Nan Li, ; Pengpeng Xiao,
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Wang H, Zhao S, Wang S, Zheng Y, Wang S, Chen H, Pang J, Ma J, Yang X, Chen Y. Global magnitude of encephalitis burden and its evolving pattern over the past 30 years. J Infect 2022; 84:777-787. [PMID: 35452715 DOI: 10.1016/j.jinf.2022.04.026] [Citation(s) in RCA: 31] [Impact Index Per Article: 15.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2022] [Revised: 04/01/2022] [Accepted: 04/15/2022] [Indexed: 10/18/2022]
Abstract
OBJECTIVE We aimed to estimate the spatiotemporal patterns of the encephalitis burden along with its attributable risk factors at the national, regional, and global levels, which may be helpful in guiding targeted prevention and treatment programs. METHODS Based on available data sources, the incidence, mortality, and disability-adjusted life years (DALYs) of encephalitis in 204 countries and regions from 1990 to 2019 were reconstructed by the Global Burden of Disease Study 2019 using the Cause of Death Ensemble model, spatiotemporal Gaussian process regression, and DisMod-MR 2.1. We conducted a systematic analysis on the epidemiological characteristics of encephalitis in detail by gender, region, and age over the past three decades. RESULTS Globally, 1,444,720 incident cases, 89,900 deaths, and 4.80 million DALYs related to encephalitis were estimated in 2019. The age-standardized incidence rate and age-standardized mortality rate (ASMR) decreased from 23.17 and 2.18 to 19.33 and 1.19 per 100,000 person-years over the past 30 years, respectively. However, beginning in 2011-2013, the burden of encephalitis has shown an inflection point, with a further decline of the ASRs ceasing. Lower socio-demographic index (SDI) regions in South Asia, Western and Eastern Sub-Saharan Africa had the highest burden of encephalitis in 2019. During the past three decades, most countries of South Asia achieved significant control of the burden. In contrast, developed countries with a higher SDI have shown a notable increase in ASMR and age-standardized DALYs rate. Children and older adults have always been high-risk groups for encephalitis. CONCLUSION Although the global burden of encephalitis has decreased in the past 30 years, a further decline stopped from 2011-2013. The diverse burden in different regions calls for differentiated management, and the persistent high burden in some low-SDI regions and the increased burden in developed countries with higher SDIs deserve more attention. ABBREVIATIONS ASDR: age-standardized DALY rate, ASIR: age-standardized incidence rate, ASMR: age-standardized mortality rate, ASR: age-standardized rate, CI: confidence interval, DALY: disability-adjusted life-year, EAPC: estimated annual percentage change, GBD: Global Burden of Disease Study, HAP: household air pollution from solid fuels, HSE: herpes simplex encephalitis, HSV: herpes simplex virus, ICD: International Classification of Diseases, JE: Japanese encephalitis, PCR: polymerase chain reaction, SDI: socio-demographic index, TBE: tick-borne encephalitis, UI: uncertainty interval.
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Affiliation(s)
- Hao Wang
- Department of Critical Care Medicine, Qilu Hospital, Shandong University, Jinan, China; Department of Pharmacology, School of Basic Medical Sciences, Shandong University, Jinan, China
| | - Shaohua Zhao
- Department of Geriatric Medicine, Qilu Hospital, Shandong University, Jinan, China; Key Laboratory of Cardiovascular Proteomics of Shandong Province, Qilu Hospital, Shandong University, Jinan, China
| | - Shengjun Wang
- Department of Neurology, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Yue Zheng
- Department of Emergency Medicine, Qilu Hospital of Shandong University, Jinan, Shandong, China; Qilu Hospital, Cheeloo College of Medicine, Clinical Research Center of Shandong University, Shandong University, Jinan, China
| | - Shaohua Wang
- Department of Internal Medicine, Jinan Hospital, Jinan, China
| | - Hui Chen
- Qilu Hospital, Cheeloo College of Medicine, Clinical Research Center of Shandong University, Shandong University, Jinan, China; Clinical Epidemiology Unit, Qilu Hospital, Shandong University, Jinan, China
| | - Jiaojiao Pang
- Department of Emergency Medicine, Qilu Hospital of Shandong University, Jinan, Shandong, China; Shandong Provincial Clinical Research Center for Emergency and Critical Care Medicine, Qilu Hospital of Shandong University, Jinan, China
| | - Juan Ma
- Department of Geriatric Medicine, Qilu Hospital, Shandong University, Jinan, China
| | - Xiaorong Yang
- Qilu Hospital, Cheeloo College of Medicine, Clinical Research Center of Shandong University, Shandong University, Jinan, China; Clinical Epidemiology Unit, Qilu Hospital, Shandong University, Jinan, China.
| | - Yuguo Chen
- Department of Emergency Medicine, Qilu Hospital of Shandong University, Jinan, Shandong, China; Qilu Hospital, Cheeloo College of Medicine, Clinical Research Center of Shandong University, Shandong University, Jinan, China; Shandong Provincial Clinical Research Center for Emergency and Critical Care Medicine, Qilu Hospital of Shandong University, Jinan, China.
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Japanese Encephalitis Virus Interaction with Mosquitoes: A Review of Vector Competence, Vector Capacity and Mosquito Immunity. Pathogens 2022; 11:pathogens11030317. [PMID: 35335641 PMCID: PMC8953304 DOI: 10.3390/pathogens11030317] [Citation(s) in RCA: 24] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2022] [Revised: 02/28/2022] [Accepted: 03/01/2022] [Indexed: 02/01/2023] Open
Abstract
Japanese encephalitis virus (JEV) is a mosquito-borne zoonotic flavivirus and a major cause of human viral encephalitis in Asia. We provide an overview of the knowledge on vector competence, vector capacity, and immunity of mosquitoes in relation to JEV. JEV has so far been detected in more than 30 mosquito species. This does not necessarily mean that these species contribute to JEV transmission under field conditions. Therefore, vector capacity, which considers vector competence, as well as environmental, behavioral, cellular, and biochemical variables, needs to be taken into account. Currently, 17 species can be considered as confirmed vectors for JEV and 10 other species as potential vectors. Culex tritaeniorhynchus and Culex annulirostris are considered primary JEV vectors in endemic regions. Culex pipiens and Aedes japonicus could be considered as potentially important vectors in the case of JEV introduction in new regions. Vector competence is determined by various factors, including vector immunity. The available knowledge on physical and physiological barriers, molecular pathways, antimicrobial peptides, and microbiome is discussed in detail. This review highlights that much remains to be studied about vector immunity against JEV in order to identify novel strategies to reduce JEV transmission by mosquitoes.
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Fang Y, Hang T, Xue J, Li Y, Li L, Wei Z, Yang L, Zhang Y. Diversity, Geography, and Host Range of Emerging Mosquito-Associated Viruses - China, 2010-2020. China CDC Wkly 2021; 3:746-750. [PMID: 34594982 PMCID: PMC8408653 DOI: 10.46234/ccdcw2021.184] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2021] [Accepted: 08/23/2021] [Indexed: 11/24/2022] Open
Affiliation(s)
- Yuan Fang
- National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention (Chinese Center for Tropical Diseases Research); NHC Key Laboratory of Parasite and Vector Biology; WHO Collaborating Centre for Tropical Diseases; National Center for International Research on Tropical Diseases, Shanghai, China.,School of Global Health, Chinese Center for Tropical Diseases Research, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Tian Hang
- School of Global Health, Chinese Center for Tropical Diseases Research, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Jinbo Xue
- National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention (Chinese Center for Tropical Diseases Research); NHC Key Laboratory of Parasite and Vector Biology; WHO Collaborating Centre for Tropical Diseases; National Center for International Research on Tropical Diseases, Shanghai, China.,School of Global Health, Chinese Center for Tropical Diseases Research, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yuanyuan Li
- National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention (Chinese Center for Tropical Diseases Research); NHC Key Laboratory of Parasite and Vector Biology; WHO Collaborating Centre for Tropical Diseases; National Center for International Research on Tropical Diseases, Shanghai, China
| | - Lanhua Li
- School of Publish Health, Weifang Medical University, Weifang, Shandong, China
| | - Zixin Wei
- National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention (Chinese Center for Tropical Diseases Research); NHC Key Laboratory of Parasite and Vector Biology; WHO Collaborating Centre for Tropical Diseases; National Center for International Research on Tropical Diseases, Shanghai, China
| | - Limin Yang
- National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention (Chinese Center for Tropical Diseases Research); NHC Key Laboratory of Parasite and Vector Biology; WHO Collaborating Centre for Tropical Diseases; National Center for International Research on Tropical Diseases, Shanghai, China
| | - Yi Zhang
- National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention (Chinese Center for Tropical Diseases Research); NHC Key Laboratory of Parasite and Vector Biology; WHO Collaborating Centre for Tropical Diseases; National Center for International Research on Tropical Diseases, Shanghai, China.,School of Global Health, Chinese Center for Tropical Diseases Research, Shanghai Jiao Tong University School of Medicine, Shanghai, China
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Fang Y, Zhang W, Xue JB, Zhang Y. Monitoring Mosquito-Borne Arbovirus in Various Insect Regions in China in 2018. Front Cell Infect Microbiol 2021; 11:640993. [PMID: 33791242 PMCID: PMC8006455 DOI: 10.3389/fcimb.2021.640993] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2020] [Accepted: 02/05/2021] [Indexed: 12/03/2022] Open
Abstract
Background Increases in global travel and trade are changing arbovirus distributions worldwide. Arboviruses can be introduced by travelers, migratory birds, or vectors transported via international trade. Arbovirus surveillance in field-collected mosquitoes may provide early evidence for mosquito-borne disease transmission. Methods During the seasons of high mosquito activity of 2018, 29,285 mosquitoes were sampled from seven sentinel sites in various insect regions. The mosquitoes were analyzed by RT-PCR for alphaviruses, flaviviruses, and orthobunyaviruses. Results We detected three strains of Japanese encephalitis virus (JEV), five strains of Getah virus (GETV), and 45 strains of insect-specific flaviviruses including Aedes flavivirus (AeFV, 1), Chaoyang virus (CHAOV, 1), Culex flavivirus (CxFV, 17), Hanko virus (HANKV, 2), QuangBinh virus (QBV, 22), and Yunnan Culex flavivirus (YNCxFV, 2). Whole genomes of one strain each of GETV, CxFV, CHAOV, and AeFV were successfully amplified. Phylogenetic analysis revealed that the new JEV strains detected in the Shanghai and Hubei Provinces belong to the GI-b strain and are phylogenetically close to the NX1889 strain (MT134112) isolated from a patient during a JE outbreak in Ningxia in 2018. GETVs were found in Inner Mongolia, Hubei, and Hainan and belonged to Group III. They were closely related to strains isolated from swine. HANKV was recorded for the first time in China and other ISFVs were newly detected at several sentinel sites. The bias-corrected maximum likelihood estimation value for JEV in Jinshan, Shanghai was 4.52/1,000 (range 0.80-14.64). Hence, there is a potential risk of a JEV epidemic in that region. Conclusion GI-b is the dominant circulating JEV genotype in nature and poses a health risk to animals and humans. The potential threat of widespread GETV distribution as a zoonosis is gradually increasing. The present study also disclosed the dispersion and host range of ISFVs. These findings highlight the importance of tracing the movements of the vectors and hosts of mosquito-borne pathogens in order to prevent and control arbovirus outbreaks in China.
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Affiliation(s)
- Yuan Fang
- National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention, Shanghai, China
- Chinese Center for Tropical Diseases Research, Ministry of Science and Technology, Shanghai, China
- Key Laboratory of Parasite and Vector Biology, Ministry of Health, Shanghai, China
- WHO Collaborating Centre for Tropical Diseases, Shanghai, China
- National Center for International Research on Tropical Diseases, Ministry of Science and Technology, Shanghai, China
| | - Wei Zhang
- Zichuan District Center for Disease Control and Prevention, Zibo, China
| | - Jing-Bo Xue
- National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention, Shanghai, China
- Chinese Center for Tropical Diseases Research, Ministry of Science and Technology, Shanghai, China
- Key Laboratory of Parasite and Vector Biology, Ministry of Health, Shanghai, China
- WHO Collaborating Centre for Tropical Diseases, Shanghai, China
- National Center for International Research on Tropical Diseases, Ministry of Science and Technology, Shanghai, China
| | - Yi Zhang
- National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention, Shanghai, China
- Chinese Center for Tropical Diseases Research, Ministry of Science and Technology, Shanghai, China
- Key Laboratory of Parasite and Vector Biology, Ministry of Health, Shanghai, China
- WHO Collaborating Centre for Tropical Diseases, Shanghai, China
- National Center for International Research on Tropical Diseases, Ministry of Science and Technology, Shanghai, China
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