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Meng JX, Hu QM, Zhang LM, Li N, He YW, Yang ZX, Sun Y, Wang JL. Isolation and Genetic Evolution of Dengue Virus from the 2019 Outbreak in Xishuangbanna, Yunnan Province, China. Vector Borne Zoonotic Dis 2023. [PMID: 37184906 DOI: 10.1089/vbz.2022.0091] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/16/2023] Open
Abstract
Background: Dengue virus (DENV) can be divided into four serotypes-DENV-1, DENV-2, DENV-3, and DENV-4. In humans, infection leads to dengue fever (DF), dengue hemorrhagic fever, and dengue shock syndrome, both widely prevalent in tropical and subtropical regions. In 2019, a severe outbreak of DF occurred in Xishuangbanna, Yunnan province. Objective: To investigate the etiology and genotype of the causative agents of this severe dengue outbreak in Xishuangbanna. Methods: Between October and November 2019, the sera of patients clinically diagnosed with DF were collected in the first People's Hospital of Xishuangbanna. RNA was extracted from the sera and amplified by RT-PCR with flavivirus primers. Flavivirus-positive sera were then used to inoculate Aedes albopictus cells (C6/36); viral RNA was extracted from these cells, amplified, and sequenced with DENV E gene-specific primers. Sequence splicing and nucleotide homology genetic evolution analysis were carried out by biological software (DNAStar). Unique mutations in the E genes of isolated DENV were analyzed by SWISS-MODEL and PyMOL. Results: Of the 60 samples collected from DF patients, 39 tested positively with flavivirus primers. The DENV was isolated from 25 of the 39 positive seras, of which 20 showed cytopathic effects (CPE) and 5 were no CPE. In these 25 isolated nucleic acids, 21 strains of DENV-1, 3 strains of DENV-2, and 1 strain of DENV-3 were identified according to the sequence of E protein. In the four unique mutations (D52, Y149, L312, T386), D52 and Y149 in the E protein of DENV-1 were predicted to be exposed on the surface of the prefusion conformation. Conclusion: The 2019 outbreak of DF in Xishuangbanna area of Yunnan Province consists of at least three serotypes of DENV-1, DENV-2, and DENV-3, and the sources of these virus strains are of mixed and complicated origin.
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Affiliation(s)
- Jin-Xin Meng
- Yunnan Tropical and Subtropical Animal Virus Disease Laboratory, Yunnan Animal Science and Veterinary Institute, Kunming, China
| | - Qiu-Ming Hu
- People's Hospital of Jinghong City, Jinghong, China
| | - Li-Ming Zhang
- Tsinghua-Peking Center for Life Sciences, School of Medicine, Tsinghua University, Beijing, China
| | - Nan Li
- Yunnan Tropical and Subtropical Animal Virus Disease Laboratory, Yunnan Animal Science and Veterinary Institute, Kunming, China
| | - Yu-Wen He
- Yunnan Tropical and Subtropical Animal Virus Disease Laboratory, Yunnan Animal Science and Veterinary Institute, Kunming, China
| | - Zhen-Xing Yang
- Yunnan Tropical and Subtropical Animal Virus Disease Laboratory, Yunnan Animal Science and Veterinary Institute, Kunming, China
| | - Yi Sun
- The First People's Hospital of Yunnan Province, Kunming, China
| | - Jing-Lin Wang
- Yunnan Tropical and Subtropical Animal Virus Disease Laboratory, Yunnan Animal Science and Veterinary Institute, Kunming, China
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2
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Li D, Long M, Li T, Shu Y, Shan X, Zhang J, Ma D, Long S, Wang X, Jia F, Pan Y, Chen J, Liu P, Sun Q. The whole-genome sequencing of prevalent DENV-1 strains during the largest dengue virus outbreak in Xishuangbanna Dai autonomous prefecture in 2019. J Med Virol 2023; 95:e28115. [PMID: 36059257 DOI: 10.1002/jmv.28115] [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: 05/08/2022] [Revised: 08/25/2022] [Accepted: 08/30/2022] [Indexed: 01/11/2023]
Abstract
In 2019, a serious dengue virus (DENV) infection broke out in the Xishuangbanna Dai Autonomous Prefecture, China. Therefore, we conducted a molecular epidemiological analysis in people that contracted DENV serotype 1 (DENV-1) during this year. We analyzed the molecular epidemiology of six DENV-1 epidemic strains in 2019 by full-length genome sequencing, amino acid mutation site analysis, evolutionary tree analysis, and recombination site comparison analysis. Through the analysis of amino acid mutation sites, it was found that DENV-1 strain (MW386867) was different from the other five epidemic DENV-1 strains in Xishuangbanna in 2019. MW386867 had unique mutation sites at six loci. The six epidemic DENV-1 strains in Xishuangbanna in 2019 were divided into two clusters. MW386867 was highly similar to the MG679800 (Myanmar 2017), MG679801 (Myanmar 2017), and KC172834 (Laos 2008), and the other five strains were highly similar to JQ045660 (Vietnam 2011), FJ176780 (GuangDong 2006). Genetic recombination analysis revealed that there was no recombination signal in the six epidemic DENV-1 strains in Xishuangbanna in 2019. We speculate that the DENV-1 epidemic in 2019 has a co-epidemic of local strains and cross-border strains.
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Affiliation(s)
- Daiying Li
- Institute of Medical Biology, Chinese Academy of Medical Sciences, and Peking Union Medical College, Kunming, People's Republic of China.,Yunnan Key Laboratory of Vaccine Research & Development on Severe Infectious Diseases, Kunming, People's Republic of China.,Yunnan Key Laboratory of Vector-Borne Infectious Disease, Kunming, People's Republic of China
| | - MingWang Long
- Institute of Medical Biology, Chinese Academy of Medical Sciences, and Peking Union Medical College, Kunming, People's Republic of China.,Yunnan Key Laboratory of Vaccine Research & Development on Severe Infectious Diseases, Kunming, People's Republic of China.,Yunnan Key Laboratory of Vector-Borne Infectious Disease, Kunming, People's Republic of China
| | - Tingting Li
- Xishuangbanna Dai Autonomous Prefecture People's Hospital, Xishuangbanna, People's Republic of China
| | - Yun Shu
- Xishuangbanna Dai Autonomous Prefecture People's Hospital, Xishuangbanna, People's Republic of China
| | - Xiyun Shan
- Xishuangbanna Dai Autonomous Prefecture People's Hospital, Xishuangbanna, People's Republic of China
| | - Juan Zhang
- Institute of Medical Biology, Chinese Academy of Medical Sciences, and Peking Union Medical College, Kunming, People's Republic of China.,Yunnan Key Laboratory of Vaccine Research & Development on Severe Infectious Diseases, Kunming, People's Republic of China.,Yunnan Key Laboratory of Vector-Borne Infectious Disease, Kunming, People's Republic of China.,Institute of Medical Biology, Kunming Medical University, Kunming, People's Republic of China
| | - Dehong Ma
- Xishuangbanna Dai Autonomous Prefecture People's Hospital, Xishuangbanna, People's Republic of China
| | - Shuying Long
- Institute of Medical Biology, Kunming Medical University, Kunming, People's Republic of China
| | - Xiaodan Wang
- Institute of Medical Biology, Chinese Academy of Medical Sciences, and Peking Union Medical College, Kunming, People's Republic of China.,Yunnan Key Laboratory of Vaccine Research & Development on Severe Infectious Diseases, Kunming, People's Republic of China.,Yunnan Key Laboratory of Vector-Borne Infectious Disease, Kunming, People's Republic of China
| | - Fan Jia
- Institute of Medical Biology, Chinese Academy of Medical Sciences, and Peking Union Medical College, Kunming, People's Republic of China.,Yunnan Key Laboratory of Vaccine Research & Development on Severe Infectious Diseases, Kunming, People's Republic of China.,Yunnan Key Laboratory of Vector-Borne Infectious Disease, Kunming, People's Republic of China.,Institute of Medical Biology, Kunming Medical University, Kunming, People's Republic of China
| | - Yue Pan
- Institute of Medical Biology, Chinese Academy of Medical Sciences, and Peking Union Medical College, Kunming, People's Republic of China.,Yunnan Key Laboratory of Vaccine Research & Development on Severe Infectious Diseases, Kunming, People's Republic of China.,Yunnan Key Laboratory of Vector-Borne Infectious Disease, Kunming, People's Republic of China
| | - Junying Chen
- Institute of Medical Biology, Chinese Academy of Medical Sciences, and Peking Union Medical College, Kunming, People's Republic of China.,Yunnan Key Laboratory of Vaccine Research & Development on Severe Infectious Diseases, Kunming, People's Republic of China.,Yunnan Key Laboratory of Vector-Borne Infectious Disease, Kunming, People's Republic of China
| | - Pinghua Liu
- Xishuangbanna Dai Autonomous Prefecture People's Hospital, Xishuangbanna, People's Republic of China
| | - Qiangming Sun
- Institute of Medical Biology, Chinese Academy of Medical Sciences, and Peking Union Medical College, Kunming, People's Republic of China.,Yunnan Key Laboratory of Vaccine Research & Development on Severe Infectious Diseases, Kunming, People's Republic of China.,Yunnan Key Laboratory of Vector-Borne Infectious Disease, Kunming, People's Republic of China
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3
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Ma Y, Li M, Xie L, Gao N, Fan D, Feng K, Yao Y, Zhou Y, Sheng Z, Zhou H, Chen H, An J. Seroepidemiologic study on convalescent sera from dengue fever patients in Jinghong, Yunnan. Virol Sin 2022; 37:19-29. [PMID: 35234619 PMCID: PMC8922416 DOI: 10.1016/j.virs.2021.12.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2021] [Accepted: 08/28/2021] [Indexed: 11/19/2022] Open
Affiliation(s)
- Yingshuo Ma
- Department of Microbiology, School of Basic Medical Sciences, Capital Medical University, Beijing, 100069, China
| | - Man Li
- Yunnan Institute of Parasitic Diseases, Pu'er, 665000, China
| | - Lyu Xie
- Yunnan Institute of Parasitic Diseases, Pu'er, 665000, China
| | - Na Gao
- Department of Microbiology, School of Basic Medical Sciences, Capital Medical University, Beijing, 100069, China
| | - Dongying Fan
- Department of Microbiology, School of Basic Medical Sciences, Capital Medical University, Beijing, 100069, China
| | - Kaihao Feng
- Department of Microbiology, School of Basic Medical Sciences, Capital Medical University, Beijing, 100069, China
| | - Yao Yao
- People's Hospital of Xishuangbanna Dai Autonomous Prefecture, Xishuangbanna, 666100, China
| | - Yong Zhou
- Xishuangbanna Mental Health Center, Xishuangbanna, 666100, China
| | - Ziyang Sheng
- Department of Microbiology, School of Basic Medical Sciences, Capital Medical University, Beijing, 100069, China
| | - Hongning Zhou
- Yunnan Institute of Parasitic Diseases, Pu'er, 665000, China; Yunnan Provincial Key Laboratory of Vector-Borne Diseases Control and Research and Yunnan Provincial Collaborative Innovation Center for Public Health and Disease Prevention and Control (YPCICPHDPC), Pu'er, 665000, China.
| | - Hui Chen
- Department of Microbiology, School of Basic Medical Sciences, Capital Medical University, Beijing, 100069, China; Experimental Center for Basic Medical Teaching, School of Basic Medical Sciences, Capital Medical University, Beijing, 100069, China.
| | - Jing An
- Department of Microbiology, School of Basic Medical Sciences, Capital Medical University, Beijing, 100069, China.
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4
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Sang S, Liu Q, Guo X, Wu D, Ke C, Liu-Helmersson J, Jiang J, Weng Y, Wang Y. The epidemiological characteristics of dengue in high-risk areas of China, 2013-2016. PLoS Negl Trop Dis 2021; 15:e0009970. [PMID: 34928951 PMCID: PMC8687583 DOI: 10.1371/journal.pntd.0009970] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2021] [Accepted: 11/03/2021] [Indexed: 11/30/2022] Open
Abstract
Introduction Dengue has become a more serious human health concern in China, with increased incidence and expanded outbreak regions. The knowledge of the cross-sectional and longitudinal epidemiological characteristics and the evolutionary dynamics of dengue in high-risk areas of China is limited. Methods Records of dengue cases from 2013 to 2016 were obtained from the China Notifiable Disease Surveillance System. Full envelope gene sequences of dengue viruses detected from the high-risk areas of China were collected. Maximum Likelihood tree and haplotype network analyses were conducted to explore the phylogenetic relationship of viruses from high-risk areas of China. Results A total of 56,520 cases was reported in China from 2013 to 2016. During this time, Yunnan, Guangdong and Fujian provinces were the high-risk areas. Imported cases occurred almost year-round, and were mainly introduced from Southeast Asia. The first indigenous case usually occurred in June to August, and the last one occurred before December in Yunnan and Fujian provinces but in December in Guangdong Province. Seven genotypes of DENV 1–3 were detected in the high-risk areas, with DENV 1-I the main genotype and DENV 2-Cosmopolitan the secondary one. The Maximum Likelihood trees show that almost all the indigenous viruses separated into different clusters. DENV 1-I viruses were found to be clustered in Guangdong Province, but not in Fujian and Yunnan, from 2013 to 2015. The ancestors of the Guangdong viruses in the cluster in 2013 and 2014 were most closely related to strains from Thailand or Singapore, and the Guangdong virus in 2015 was most closely related to the Guangdong virus of 2014. Based on closest phylogenetic relationships, viruses from Myanmar possibly initiated further indigenous cases in Yunnan, those from Indonesia in Fujian, while viruses from Thailand, Malaysia, Singapore and Indonesia were predominant in Guangdong Province. Conclusions Dengue is still an imported disease in China, although some genotypes continued to circulate in successive years. Viral phylogenies based on the envelope gene suggested periodic introductions of dengue strains into China, primarily from Southeast Asia, with occasional sustained, multi-year transmission in some regions of China. Dengue is the most prevalent and rapidly spreading mosquito-borne viral disease globally. Because of the multiple introductions, dengue outbreaks occurred in epidemic seasons in Southern China, supported by suitable weather conditions. Surveillance data from 2013 to 2016 in China showed that Guangdong, Yunnan and Fujian provinces were the high-risk areas, with dengue outbreaks occurring almost every year. However, knowledge has been lacking of the epidemiological characteristics and the evolution pattern of dengue virus in these high-risk areas. This study shows a variety of epidemiological characteristics and sources of imported cases among the high-risk areas in China, with likely origins primarily from countries in Southeast Asia. Seven genotypes of the DENV 1–3 variety co-circulated with DENV1-I, the main genotype, and DENV 2-Cosmopolitan, the secondary. Genetic relationships among viral strains suggest that the indigenous viruses in the high-risk areas arose from imported viruses and sometimes persisted between years into the next epidemic season, especially in Guangdong Province. Population movement has played a vital role in dengue epidemics in China. This information may be useful in dengue control, especially during epidemic seasons and in the development of an early warning system within the region, in collaboration with bordering countries.
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Affiliation(s)
- Shaowei Sang
- Clinical Epidemiology Unit, Qilu Hospital of Shandong University, Jinan, Shandong, People’s Republic of China
- Clinical Research Center of Shandong University, Jinan, Shandong, People’s Republic of China
- Department of Epidemiology and Health Statistics, School of Public Health, Shandong University, Jinan, Shandong, People’s Republic of China
- * E-mail:
| | - Qiyong Liu
- State Key Laboratory of Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Changping, Beijing, People’s Republic of China
| | - Xiaofang Guo
- Yunnan Provincial Center of Arborvirus Research, Yunnan Provincial Key Laboratory of Vector-borne Diseases Control and Research, Yunnan Institute of Parasitic Diseases, Pu’er, Yunnan, People’s Republic of China
| | - De Wu
- Institute of Microbiology, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, Guangdong, People’s Republic of China
| | - Changwen Ke
- Institute of Microbiology, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, Guangdong, People’s Republic of China
| | | | - Jinyong Jiang
- Yunnan Provincial Center of Arborvirus Research, Yunnan Provincial Key Laboratory of Vector-borne Diseases Control and Research, Yunnan Institute of Parasitic Diseases, Pu’er, Yunnan, People’s Republic of China
| | - Yuwei Weng
- Fujian center for disease control and prevention, Fuzhou, People’s Republic of China
| | - Yiguan Wang
- School of Biological Sciences, University of Queensland, St Lucia, Australia
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5
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Wu T, Wu Z, Li YP. Dengue fever and dengue virus in the People's Republic of China. Rev Med Virol 2021; 32:e2245. [PMID: 34235802 DOI: 10.1002/rmv.2245] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2020] [Revised: 04/12/2021] [Accepted: 04/26/2021] [Indexed: 01/05/2023]
Abstract
Infection with dengue virus (DENV) leads to symptoms variable from dengue fever to severe dengue, which has posed a huge socioeconomic and disease burden to the world population, particularly in tropical and subtropical regions. To date, four serotypes of DENV (DENV-1 to DENV-4) have been identified to sustain the transmission cycle in humans. In the past decades, dengue incidences have become more frequent, and four serotypes and various genotypes have been identified in PR China. Several large-scale dengue outbreaks and frequent local endemics occurred in the southern and coastal provinces, and the imported dengue cases accounted primarily for the initiation of the epidemics. No antiviral drug exists for dengue, and no vaccine has been approved to use in PR China, however strategies including public awareness, national reporting system of infectious diseases and public health emergencies, vector mosquito control, personal protection, and improved environmental sanitation have greatly reduced dengue prevalence. Some new technologies in vector mosquito control are emerging and being applied for dengue control. China's territory spans tropical, subtropical, and temperate climates, hence understanding the dengue status in China will be of beneficial for the global prevention and control of dengue. Here, we review the dengue status in PR China for the past decades and the strategies emerging for dengue control.
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Affiliation(s)
- Tiantian Wu
- Institute of Human Virology, Zhongshan School of Medicine, Key Laboratory of Tropical Disease Control of Ministry of Education, Sun Yet-sen University, Guangzhou, China
| | - Zhongdao Wu
- Department of Parasitology, Zhongshan School of Medicine, Key Laboratory of Tropical Disease Control of Ministry of Education, Sun Yet-sen University, Guangzhou, China
| | - Yi-Ping Li
- Institute of Human Virology, Zhongshan School of Medicine, Key Laboratory of Tropical Disease Control of Ministry of Education, Sun Yet-sen University, Guangzhou, China
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6
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Zhang J, Shu Y, Shan X, Li D, Ma D, Li T, Long S, Wang X, Pan Y, Chen J, Liu P, Sun Q. Co-circulation of three dengue virus serotypes led to a severe dengue outbreak in Xishuangbanna, a border area of China, Myanmar, and Laos, in 2019. Int J Infect Dis 2021; 107:15-17. [PMID: 33857610 DOI: 10.1016/j.ijid.2021.04.010] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2020] [Revised: 04/01/2021] [Accepted: 04/03/2021] [Indexed: 10/21/2022] Open
Abstract
Dengue fever was included in the top 10 global health threats announced by the World Health Organization (WHO) in early 2019. In some southern provinces of China, autochthonous outbreaks have also been reported over the last decade. An unexpected large outbreak of dengue fever was reported in Xishuangbanna, a border area of China, Myanmar, and Laos, in 2019. Among the 226 hospitalized cases, 90 were diagnosed as severe dengue according to the 2009 WHO guidelines. Serotyping and phylogenetic analyses of envelope gene sequences from 246 randomly selected samples showed that three serotypes of dengue virus were co-circulating in this outbreak, which is very rare in this area. Dengue virus serotype 1 (DENV-1, genotype I) and serotype 2 (DENV-2, Cosmopolitan genotype and Asian genotype) were the main pathogenic agents of this outbreak. Dengue virus serotype 3 (DENV-3) epidemic strains were classified as genotype III and formed a close cluster with the Thailand 2015 epidemic strain. The co-circulation may have led to more serious clinical symptoms and a larger scale epidemic. This finding is of great importance in understanding the circulation of DENV and to strengthen the detection and management of dengue fever in border areas.
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Affiliation(s)
- Juan Zhang
- Institute of Medical Biology, Chinese Academy of Medical Sciences, and Peking Union Medical College, Kunming, PR China; Kunming Medical University, Kunming, PR China; Yunnan Key Laboratory of Vaccine Research and Development on Severe Infectious Diseases, Kunming, PR China; Yunnan Key Laboratory of Vector-borne Infectious Disease, Kunming, PR China
| | - Yun Shu
- Xishuangbanna Dai Autonomous Prefecture People's Hospital, Xishuangbanna, PR China
| | - Xiyun Shan
- Xishuangbanna Dai Autonomous Prefecture People's Hospital, Xishuangbanna, PR China
| | - Daiying Li
- Institute of Medical Biology, Chinese Academy of Medical Sciences, and Peking Union Medical College, Kunming, PR China; Yunnan Key Laboratory of Vaccine Research and Development on Severe Infectious Diseases, Kunming, PR China; Yunnan Key Laboratory of Vector-borne Infectious Disease, Kunming, PR China
| | - Dehong Ma
- Xishuangbanna Dai Autonomous Prefecture People's Hospital, Xishuangbanna, PR China
| | - Tingting Li
- Xishuangbanna Dai Autonomous Prefecture People's Hospital, Xishuangbanna, PR China
| | | | - Xiaodan Wang
- Institute of Medical Biology, Chinese Academy of Medical Sciences, and Peking Union Medical College, Kunming, PR China; Yunnan Key Laboratory of Vaccine Research and Development on Severe Infectious Diseases, Kunming, PR China; Yunnan Key Laboratory of Vector-borne Infectious Disease, Kunming, PR China
| | - Yue Pan
- Institute of Medical Biology, Chinese Academy of Medical Sciences, and Peking Union Medical College, Kunming, PR China; Yunnan Key Laboratory of Vaccine Research and Development on Severe Infectious Diseases, Kunming, PR China; Yunnan Key Laboratory of Vector-borne Infectious Disease, Kunming, PR China
| | - Junying Chen
- Institute of Medical Biology, Chinese Academy of Medical Sciences, and Peking Union Medical College, Kunming, PR China; Yunnan Key Laboratory of Vaccine Research and Development on Severe Infectious Diseases, Kunming, PR China; Yunnan Key Laboratory of Vector-borne Infectious Disease, Kunming, PR China
| | - Pinghua Liu
- Xishuangbanna Dai Autonomous Prefecture People's Hospital, Xishuangbanna, PR China.
| | - Qiangming Sun
- Institute of Medical Biology, Chinese Academy of Medical Sciences, and Peking Union Medical College, Kunming, PR China; Yunnan Key Laboratory of Vaccine Research and Development on Severe Infectious Diseases, Kunming, PR China; Yunnan Key Laboratory of Vector-borne Infectious Disease, Kunming, PR China.
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7
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Lv RC, Zhu CQ, Wang CH, Ai LL, Lv H, Zhang B, Li CM, An J, Wang PG, Hu D, Tan XZ, Yang L, Zhou HN, Tan WL. Genetic diversity and population structure of Aedes aegypti after massive vector control for dengue fever prevention in Yunnan border areas. Sci Rep 2020; 10:12731. [PMID: 32728176 PMCID: PMC7391764 DOI: 10.1038/s41598-020-69668-7] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2020] [Accepted: 06/30/2020] [Indexed: 11/09/2022] Open
Abstract
Dengue fever is a mosquito-borne disease caused by the dengue virus. Aedes aegypti (Ae. Aegypti) is considered the primary vector of Dengue virus transmission in Yunnan Province, China. With increased urbanization, Ae. aegypti populations have significantly increased over the last 20 years. Despite all the efforts that were made for controlling the virus transmission, especially on border areas between Yunnan and Laos, Vietnam, and Myanmar (dengue-endemic areas), the epidemic has not yet been eradicated. Thus, further understanding of the genetic diversity, population structure, and invasive strategies of Ae. aegypti populations in the border areas was vital to uncover the vector invasion and distribution dynamic, and essential for controlling the infection. In this study, we analyzed genetic diversity and population structure of eight adult Ae. Aegypti populations collected along the border areas of Yunnan Province in 2017 and 2018. Nine nuclear microsatellite loci and mitochondrial DNA (mtDNA) sequences were used to achieve a better understanding of the genetic diversity and population structure. One hundred and fourteen alleles were found in total. The polymorphic information content value, together with the expected heterozygosity (He) and observed heterozygosity (Ho) values showed high genetic diversity in all mosquito populations. The clustering analysis based on Bayesian algorithm, the UPGMA and DAPC analysis revealed that all the eight Ae. aegypti populations can be divided into three genetic groups. Based on the mtDNA results, all Ae. aegypti individuals were divided into 11 haplotypes. The Ae. aegypti populations in the border areas of Yunnan Province presented with high genetic diversity, which might be ascribed to the continuous incursion of Ae. aegypti.
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Affiliation(s)
- Rui-Chen Lv
- Department of Vector Control, Huadong Research Institute for Medicine and Biotechnics, Nanjing, 210002, Jiangsu, China
| | - Chang -Qiang Zhu
- Department of Vector Control, Huadong Research Institute for Medicine and Biotechnics, Nanjing, 210002, Jiangsu, China
| | - Chun-Hui Wang
- Department of Vector Control, Huadong Research Institute for Medicine and Biotechnics, Nanjing, 210002, Jiangsu, China
| | - Le-le Ai
- Department of Vector Control, Huadong Research Institute for Medicine and Biotechnics, Nanjing, 210002, Jiangsu, China
| | - Heng Lv
- Department of Vector Control, Huadong Research Institute for Medicine and Biotechnics, Nanjing, 210002, Jiangsu, China
| | - Bing Zhang
- Department of Vector Control, Huadong Research Institute for Medicine and Biotechnics, Nanjing, 210002, Jiangsu, China
| | - Chun-Min Li
- The Key Laboratory of Insect Control of Insect Vectors in Yunnan Province, The Key Technology Innovation Team for Prevention and Control of Insect Vectors in Yunnan Province, Yunnan Institute of Parasitic Diseases, Pu'er, 665000, Yunnan, China
| | - Jing An
- Department of Microbiology, School of Basic Medical Science, Capital Medical University, Beijing, 100069, China
| | - Pei-Gang Wang
- Department of Microbiology, School of Basic Medical Science, Capital Medical University, Beijing, 100069, China
| | - Dan Hu
- Department of Vector Control, Huadong Research Institute for Medicine and Biotechnics, Nanjing, 210002, Jiangsu, China
| | - Xian-Zhe Tan
- Nanjing Foreign Language School, Nanjing, 210008, Jiangsu, China
| | - Lu Yang
- Department of Vector Control, Huadong Research Institute for Medicine and Biotechnics, Nanjing, 210002, Jiangsu, China
| | - Hong-Ning Zhou
- The Key Laboratory of Insect Control of Insect Vectors in Yunnan Province, The Key Technology Innovation Team for Prevention and Control of Insect Vectors in Yunnan Province, Yunnan Institute of Parasitic Diseases, Pu'er, 665000, Yunnan, China.
| | - Wei-Long Tan
- Department of Vector Control, Huadong Research Institute for Medicine and Biotechnics, Nanjing, 210002, Jiangsu, China.
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8
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Cassidy-Seyoum S, Vongsouvath M, Sengvilaipaseuth O, Seephonelee M, Bharucha T, de Lamballerie X, Newton PN, Dubot-Pérès A. Rapid Diagnostic Tests as a Source of Dengue Virus RNA for Envelope Gene Amplification: A Proof of Concept. Am J Trop Med Hyg 2020; 101:451-455. [PMID: 31237231 PMCID: PMC6685568 DOI: 10.4269/ajtmh.18-0831] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022] Open
Abstract
Molecular epidemiological data are key for dengue outbreak characterization and preparedness. However, sparse Dengue virus (DENV) molecular information is available in Laos because of limited resources. In this proof-of-concept study, we evaluated whether DENV1 RNA extracted from rapid diagnostic tests (RDTs) could be amplified and sequenced. The protocol for envelope gene amplification from RNA purified from RDTs was first assessed using viral isolate dilutions then conducted using 14 dengue patient sera. Envelope gene amplification was successful from patient sera with high virus titer, as was sequencing but with lower efficiency. Hence, based on our results, RDTs can be a source of DENV1 RNA for subsequent envelope gene amplification and sequencing. This is a promising tool for collecting molecular epidemiology data from rural dengue-endemic areas. However, further investigations are needed to improve assay efficiency and to assess this tool’s level of efficacy on a larger scale in the field.
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Affiliation(s)
- Sarah Cassidy-Seyoum
- London School of Hygiene and Tropical Medicine, London, United Kingdom.,Lao-Oxford-Mahosot Hospital-Wellcome Trust Research Unit (LOMWRU), Microbiology Laboratory, Mahosot Hospital, Vientiane, Lao P.D.R
| | - Manivanh Vongsouvath
- Lao-Oxford-Mahosot Hospital-Wellcome Trust Research Unit (LOMWRU), Microbiology Laboratory, Mahosot Hospital, Vientiane, Lao P.D.R
| | - Onanong Sengvilaipaseuth
- Lao-Oxford-Mahosot Hospital-Wellcome Trust Research Unit (LOMWRU), Microbiology Laboratory, Mahosot Hospital, Vientiane, Lao P.D.R
| | - Malee Seephonelee
- Lao-Oxford-Mahosot Hospital-Wellcome Trust Research Unit (LOMWRU), Microbiology Laboratory, Mahosot Hospital, Vientiane, Lao P.D.R
| | - Tehmina Bharucha
- Division of Infection and Immunity, University College London, London, United Kingdom.,Lao-Oxford-Mahosot Hospital-Wellcome Trust Research Unit (LOMWRU), Microbiology Laboratory, Mahosot Hospital, Vientiane, Lao P.D.R
| | - Xavier de Lamballerie
- Unité des Virus Émergents (UVE: Aix-Marseille Univ - IRD 190 - Inserm 1207 - IHU Méditerranée Infection), Marseille, France
| | - Paul N Newton
- Centre for Tropical Medicine and Global Health, Nuffield Department of Clinical Medicine, University of Oxford, Churchill Hospital, Oxford, United Kingdom.,London School of Hygiene and Tropical Medicine, London, United Kingdom.,Lao-Oxford-Mahosot Hospital-Wellcome Trust Research Unit (LOMWRU), Microbiology Laboratory, Mahosot Hospital, Vientiane, Lao P.D.R
| | - Audrey Dubot-Pérès
- Unité des Virus Émergents (UVE: Aix-Marseille Univ - IRD 190 - Inserm 1207 - IHU Méditerranée Infection), Marseille, France.,Centre for Tropical Medicine and Global Health, Nuffield Department of Clinical Medicine, University of Oxford, Churchill Hospital, Oxford, United Kingdom.,Lao-Oxford-Mahosot Hospital-Wellcome Trust Research Unit (LOMWRU), Microbiology Laboratory, Mahosot Hospital, Vientiane, Lao P.D.R
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9
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Sang S, Liu-Helmersson J, Quam MBM, Zhou H, Guo X, Wu H, Liu Q. The evolutionary dynamics of DENV 4 genotype I over a 60-year period. PLoS Negl Trop Dis 2019; 13:e0007592. [PMID: 31356608 PMCID: PMC6663010 DOI: 10.1371/journal.pntd.0007592] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2018] [Accepted: 07/01/2019] [Indexed: 01/26/2023] Open
Abstract
Dengue virus serotype 4 (DENV 4) has had a relatively low prevalence worldwide for decades; however, likely due to data paucity, no study has investigated the epidemiology and evolutionary dynamics of DENV 4 genotype I (DENV 4-I). This study aims to understand the diversity, epidemiology and dynamics of DENV 4-I. We collected 404 full length DENV4-1 envelope (E) gene sequences from 14 countries using two sources: Yunnan Province in China (15 strains during 2013–2016) and GenBank (489 strains up to 2018-01-11). Conducting phylogenetic and phylogeographical analyses, we estimated the virus spread, population dynamics, and selection pressures using different statistical analysis methods (substitution saturation, likelihood mapping, Bayesian coalescent inference, and maximum likelihood estimation). Our results show that during the last 60 years (1956–2016), DENV 4-I was present in mainland and maritime Southeast Asia, the Indian subcontinent, the southern provinces of China, parts of Brazil and Australia. The recent spread of DENV 4-I likely originated in the Philippines and later spread to Thailand. From Thailand, it spread to adjacent countries and eventually the Indian subcontinent. Apparently diverging around years 1957, 1963, 1976 and 1990, the different Clades (Clade I-V) were defined. The mean overall evolution rate of DENV 4-I was 9.74 (95% HPD: 8.68–10.82) × 10−4 nucleotide substitutions/site/year. The most recent common ancestor for DENV 4-I traces back to 1956. While the demographic history of DENV 4-I fluctuated, peaks appeared around 1982 and 2006. While purifying selection dominated the majority of E-gene evolution of DENV 4-I, positive selection characterized Clade III (Vietnam). DENV 4-I evolved in situ in Southeast Asia and the Indian subcontinent. Thailand and Indian acted as the main and secondary virus distribution hubs globally and regionally. Our phylogenetic analysis highlights the need for strengthened regional cooperation on surveillance and sharing of sample sequences to improve global dengue control and cross-border transmission prevention efforts. Dengue virus (DENV) can be classified into four serotypes, DENV 1, 2, 3 and 4. Although DENV 4 is the first dengue serotype to diverge in phylogenetic analyses of the genus Flavivirus, this serotype occurs at a low prevalence worldwide and spreads the least rapidly. Similar to other serotypes, DENV 4 can also cause severe dengue (SD) disease manifestations, such as dengue haemorrhagic fever (DHF) and dengue shock syndrome (DSS). To date, no study has investigated the epidemiology and dynamics of DENV 4 genotype I comprehensively. In this study, we seek to address this gap. Our study shows that the distribution of DENV 4-I is mainly restricted to Southeast Asia and the Indian subcontinent. The most recent spread of DENV 4-I likely originated from Southeast Asia–initially circulating in the Philippines, then Thailand and later on the Indian subcontinent. Viruses evolved in situ in Southeast Asia and the Indian subcontinent, respectively. Although DENV 4-I occasionally spread elsewhere, this genotype did not become widely established. The overall evolution rate of DENV 4-I was comparable with that of DENV 2–4. The nucleotide sequences indicates that the demographic history of DENV 4-I fluctuated with peaks apparent during parts of the 1980s and 2000s. Although a weak positive selection existed in Clade III -predominately in Vietnam, purifying selection dominated the E-gene evolution of DENV 4-I.
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Affiliation(s)
- Shaowei Sang
- Clinical Epidemiology Unit, Qilu Hospital of Shandong University, Jinan, Shandong, People's Republic of China
- Department of Epidemiology and Health Statistics, School of Public Health, Shandong University, Jinan, Shandong, People's Republic of China
- * E-mail: (SS); (QL)
| | | | - Mikkel B. M. Quam
- Department of Epidemiology and Global Health, Umea University, Umea, Sweden
| | - Hongning Zhou
- Yunnan Provincial Center of Arborvirus Research, Yunnan Provincial Key Laboratory of Vector-borne Diseases Control and Research, Yunnan Institute of Parasitic Diseases, Pu'er, Yunnan, People's Republic of China
| | - Xiaofang Guo
- Yunnan Provincial Center of Arborvirus Research, Yunnan Provincial Key Laboratory of Vector-borne Diseases Control and Research, Yunnan Institute of Parasitic Diseases, Pu'er, Yunnan, People's Republic of China
| | - Haixia Wu
- State Key Laboratory of Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Changping, Beijing, People's Republic of China
| | - Qiyong Liu
- State Key Laboratory of Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Changping, Beijing, People's Republic of China
- * E-mail: (SS); (QL)
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10
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Lin Y, Ma D, Wen S, Zeng F, Hong S, Li L, Li X, Wang X, Ma Z, Pan Y, Chen J, Xi J, Qiu L, Shan X, Sun Q. Molecular characterization of the viral structural gene of the first dengue virus type 1 outbreak in Xishuangbanna: A border area of China, Burma and Laos. Int J Infect Dis 2018; 79:152-161. [PMID: 30528395 DOI: 10.1016/j.ijid.2018.11.370] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2018] [Revised: 11/28/2018] [Accepted: 11/30/2018] [Indexed: 12/21/2022] Open
Abstract
BACKGROUND Xishuangbanna, a border area of China, Burma and Laos, had its first major DENV-1 outbreak in 2017. This study aims to explore the genetic characterization, potential source and evolution of the viruses in outbreak. METHODS The structural protein C/prM/E genes of viruses isolated from local residents or Burmese travelers were sequenced followed by mutation, phylogenetic, homologous recombination, molecular clock and demographic reconstruction analysis. RESULTS Phylogenetic analysis revealed that all of the strains were classified as three cluster of DENV-1. Cluster 1, 2 and 3 were most similar to China Guangzhou 2011, China Hubei 2014 and Laos 2008 strain, respectively. Among 236 base mutations, 31 caused nonsynonymous mutations when compared with the DENV-1SS. No homologous recombination signal was discovered. The structural protein of these strains had similar three-dimensional structure. Only site 434 showed differences among five predicted protein binding sites. Molecular clock phylogenetic and demographic reconstruction analysis showed that DENV-1 became highly diversified in 1972 followed by a slightly decreased period until 2017. CONCLUSIONS Dengue isolated strains show diversification between Burma and China. Amino acid substitution (I440T) may lead to weakened virulence of the epidemic strains. DENV-1 became highly diversified in 1972 followed by a slightly decreased period.
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Affiliation(s)
- Yao Lin
- Institute of Medical Biology, Chinese Academy of Medical Sciences, and Peking Union Medical College, Kunming, PR China; Yunnan Key Laboratory of Vaccine Research & Development on Severe Infectious Diseases, Kunming, PR China; Yunnan Key Laboratory of Vector-borne Infectious Disease, Kunming, PR China
| | - Dehong Ma
- Xishuangbanna Dai Autonomous Prefecture People's Hospital, Xishuangbanna, PR China
| | - Songjiao Wen
- Institute of Medical Biology, Chinese Academy of Medical Sciences, and Peking Union Medical College, Kunming, PR China; Yunnan Key Laboratory of Vaccine Research & Development on Severe Infectious Diseases, Kunming, PR China; Yunnan Key Laboratory of Vector-borne Infectious Disease, Kunming, PR China
| | - Fen Zeng
- Xishuangbanna Dai Autonomous Prefecture People's Hospital, Xishuangbanna, PR China
| | - Shan Hong
- Institute of Medical Biology, Chinese Academy of Medical Sciences, and Peking Union Medical College, Kunming, PR China; Yunnan Key Laboratory of Vaccine Research & Development on Severe Infectious Diseases, Kunming, PR China; Kunming Medical University, Kunming, PR China
| | - Lihua Li
- Xishuangbanna Dai Autonomous Prefecture People's Hospital, Xishuangbanna, PR China
| | - Xiaoman Li
- The Affiliated Children's Hospital of Kunming Medical University, Institute of Pediatric Disease Research, Kunming, PR China
| | - Xiaodan Wang
- Institute of Medical Biology, Chinese Academy of Medical Sciences, and Peking Union Medical College, Kunming, PR China; Yunnan Key Laboratory of Vaccine Research & Development on Severe Infectious Diseases, Kunming, PR China; Yunnan Key Laboratory of Vector-borne Infectious Disease, Kunming, PR China
| | - Zhiqiang Ma
- Xishuangbanna Dai Autonomous Prefecture People's Hospital, Xishuangbanna, PR China
| | - Yue Pan
- Institute of Medical Biology, Chinese Academy of Medical Sciences, and Peking Union Medical College, Kunming, PR China; Yunnan Key Laboratory of Vaccine Research & Development on Severe Infectious Diseases, Kunming, PR China; Yunnan Key Laboratory of Vector-borne Infectious Disease, Kunming, PR China
| | - Junying Chen
- Institute of Medical Biology, Chinese Academy of Medical Sciences, and Peking Union Medical College, Kunming, PR China; Yunnan Key Laboratory of Vaccine Research & Development on Severe Infectious Diseases, Kunming, PR China; Yunnan Key Laboratory of Vector-borne Infectious Disease, Kunming, PR China
| | - Juemin Xi
- Institute of Medical Biology, Chinese Academy of Medical Sciences, and Peking Union Medical College, Kunming, PR China; Yunnan Key Laboratory of Vaccine Research & Development on Severe Infectious Diseases, Kunming, PR China; Yunnan Key Laboratory of Vector-borne Infectious Disease, Kunming, PR China
| | - Lijuan Qiu
- The Affiliated Children's Hospital of Kunming Medical University, Institute of Pediatric Disease Research, Kunming, PR China
| | - Xiyun Shan
- Xishuangbanna Dai Autonomous Prefecture People's Hospital, Xishuangbanna, PR China.
| | - Qiangming Sun
- Institute of Medical Biology, Chinese Academy of Medical Sciences, and Peking Union Medical College, Kunming, PR China; Yunnan Key Laboratory of Vaccine Research & Development on Severe Infectious Diseases, Kunming, PR China; Yunnan Key Laboratory of Vector-borne Infectious Disease, Kunming, PR China.
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11
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Mo L, Shi J, Guo X, Zeng Z, Hu N, Sun J, Wu M, Zhou H, Hu Y. Molecular characterization and phylogenetic analysis of a dengue virus serotype 3 isolated from a Chinese traveler returned from Laos. Virol J 2018; 15:113. [PMID: 30041666 PMCID: PMC6057004 DOI: 10.1186/s12985-018-1016-5] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2018] [Accepted: 07/04/2018] [Indexed: 02/05/2023] Open
Abstract
BACKGROUND Dengue virus (DENV) infection caused by international visitors has become a public health concern in China. Although sporadic imported cases of DENV have been documented in Yunnan, China since 2000, a complete genome sequence of dengue virus serotype 3 (DENV-3) imported from Laos is still not available. Here, we report the first complete genome sequence and genomic characterization of a DENV-3 strain (YNPE3) isolated from a patient returned from Laos. METHODS Viral isolation from the patient's serum was performed using mosquitoes C6/36 cells. Reverse transcriptase polymerase chain reaction (RT-PCR) was used for identification and serotyping of the virus. The complete sequence was determined by Sanger dideoxy sequencing. Homology analysis was implemented by NCBI-BLAST. Multiple sequence alignment was performed using MegAlign module of the Lasergene 7 software package DNASTAR. MFOLD software was used to predict the RNA secondary structure of 5' untranslated region (UTR) and 3' UTR. Phylogenetic analysis, which was based on envelope gene and complete coding sequence, was performed by Maximum-Likelihood method. RESULTS RT-PCR analysis confirmed that the virus belonged to dengue virus serotype 3, which was named YNPE3 strain. The full-length genome of the YNPE3 strain was 10,627 nucleotides (nts) with an open reading frame (ORF) encoding 3390 amino acids. Strain YNPE3 shared 98.6-98.8% nucleotide identity with the closely related strains isolated in India (JQ922556, KU216209, KU216208). We observed the deletion of about 40 nts in the 5' UTR and 3' UTR of strain YNPE3, and 11 nts (ACGCAGGAAGT) insertion that was present in the 3' UTR of YNPE3. Compared with prototype strain H87, abundant amino acid substitutions in the YNPE3 strain were observed. Phylogenetic analysis revealed that the YNPE3 strain belonged to genotype III of DENV-3, and that it might be closely related with genotype III strains isolated in Laos and India. CONCLUSIONS This is the first report of the complete genome sequence and molecular characterization of a DENV-3 isolate imported from Laos. The presented results can further promote disease surveillance, and epidemiological and evolutionary studies of the DENV-3 in Yunnan province of China.
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Affiliation(s)
- Ling Mo
- Institute of Medical Biology, Chinese Academy of Medical Sciences and Peking Union Medical College, Kunming, 650118, China
- Yunnan Key Laboratory of Vaccine Research and Development of Severe Infectious Disease, Kunming, 650118, China
| | - Jiandong Shi
- Institute of Medical Biology, Chinese Academy of Medical Sciences and Peking Union Medical College, Kunming, 650118, China
- Yunnan Key Laboratory of Vaccine Research and Development of Severe Infectious Disease, Kunming, 650118, China
- Yunnan Provincial Center of Arborvirus Research, Yunnan Provincial Key Laboratory of Vector-borne Diseases Control and Research, Yunnan Institute of Parasitic Diseases, Pu'er, 665000, Yunnan, China
| | - Xiaofang Guo
- Yunnan Provincial Center of Arborvirus Research, Yunnan Provincial Key Laboratory of Vector-borne Diseases Control and Research, Yunnan Institute of Parasitic Diseases, Pu'er, 665000, Yunnan, China
| | - Zhaoping Zeng
- Institute of Medical Biology, Chinese Academy of Medical Sciences and Peking Union Medical College, Kunming, 650118, China
- Yunnan Key Laboratory of Vaccine Research and Development of Severe Infectious Disease, Kunming, 650118, China
| | - Ningzhu Hu
- Institute of Medical Biology, Chinese Academy of Medical Sciences and Peking Union Medical College, Kunming, 650118, China
- Yunnan Key Laboratory of Vaccine Research and Development of Severe Infectious Disease, Kunming, 650118, China
- Yunnan Provincial Center of Arborvirus Research, Yunnan Provincial Key Laboratory of Vector-borne Diseases Control and Research, Yunnan Institute of Parasitic Diseases, Pu'er, 665000, Yunnan, China
| | - Jing Sun
- Institute of Medical Biology, Chinese Academy of Medical Sciences and Peking Union Medical College, Kunming, 650118, China
- Yunnan Key Laboratory of Vaccine Research and Development of Severe Infectious Disease, Kunming, 650118, China
- Yunnan Provincial Center of Arborvirus Research, Yunnan Provincial Key Laboratory of Vector-borne Diseases Control and Research, Yunnan Institute of Parasitic Diseases, Pu'er, 665000, Yunnan, China
| | - Meini Wu
- Institute of Medical Biology, Chinese Academy of Medical Sciences and Peking Union Medical College, Kunming, 650118, China
- Yunnan Key Laboratory of Vaccine Research and Development of Severe Infectious Disease, Kunming, 650118, China
- Yunnan Provincial Center of Arborvirus Research, Yunnan Provincial Key Laboratory of Vector-borne Diseases Control and Research, Yunnan Institute of Parasitic Diseases, Pu'er, 665000, Yunnan, China
| | - Hongning Zhou
- Yunnan Provincial Center of Arborvirus Research, Yunnan Provincial Key Laboratory of Vector-borne Diseases Control and Research, Yunnan Institute of Parasitic Diseases, Pu'er, 665000, Yunnan, China.
| | - Yunzhang Hu
- Institute of Medical Biology, Chinese Academy of Medical Sciences and Peking Union Medical College, Kunming, 650118, China.
- Yunnan Key Laboratory of Vaccine Research and Development of Severe Infectious Disease, Kunming, 650118, China.
- Yunnan Provincial Center of Arborvirus Research, Yunnan Provincial Key Laboratory of Vector-borne Diseases Control and Research, Yunnan Institute of Parasitic Diseases, Pu'er, 665000, Yunnan, China.
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12
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Mo L, Shi J, Guo X, Zeng Z, Hu N, Sun J, Wu M, Zhou H, Hu Y. Molecular characterization of an imported dengue virus serotype 4 isolate from Thailand. Arch Virol 2018; 163:2903-2906. [PMID: 29948381 DOI: 10.1007/s00705-018-3906-7] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2018] [Accepted: 05/23/2018] [Indexed: 11/28/2022]
Abstract
The epidemic of dengue virus infections has spread markedly in Yunnan province of China in recent years due to an increase in the number of imported dengue cases. To the best of our knowledge, the present study is the first to report a whole genome sequence and molecular characterization of an imported DENV-4 isolate from Thailand. The current strain, 2013JH285, has an RNA genome of 10,772 nucleotides that shares 99.0% nucleotide and 99.7% amino acid sequence identity with the 2013 Thailand strain CTI2-13. Phylogenetic analysis of the whole genome sequence revealed that the 2013JH285 strain belongs to genotype I of DENV-4. Recombination analysis suggested that the 2013JH285 strain originated from inter-genotypic recombination of DENV-4 strains. The new complete DENV-4 genome sequence reported here might contribute to further understanding of the molecular epidemiology and disease surveillance of DENV-4 in China.
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Affiliation(s)
- Ling Mo
- Institute of Medical Biology, Chinese Academy of Medical Sciences and Peking Union Medical College, Kunming, 650118, China.,Yunnan Key Laboratory of Vaccine Research and Development of Severe Infectious Disease, Kunming, 650118, China
| | - Jiandong Shi
- Institute of Medical Biology, Chinese Academy of Medical Sciences and Peking Union Medical College, Kunming, 650118, China.,Yunnan Key Laboratory of Vaccine Research and Development of Severe Infectious Disease, Kunming, 650118, China.,Yunnan Provincial Key Laboratory of Vector-borne Diseases Control and Research, Yunnan Provincial Center of Arborvirus Research, Yunnan Institute of Parasitic Diseases, Pu'er, 665000, Yunnan, China
| | - Xiaofang Guo
- Yunnan Provincial Key Laboratory of Vector-borne Diseases Control and Research, Yunnan Provincial Center of Arborvirus Research, Yunnan Institute of Parasitic Diseases, Pu'er, 665000, Yunnan, China
| | - Zhaoping Zeng
- Institute of Medical Biology, Chinese Academy of Medical Sciences and Peking Union Medical College, Kunming, 650118, China.,Yunnan Key Laboratory of Vaccine Research and Development of Severe Infectious Disease, Kunming, 650118, China
| | - Ningzhu Hu
- Institute of Medical Biology, Chinese Academy of Medical Sciences and Peking Union Medical College, Kunming, 650118, China.,Yunnan Key Laboratory of Vaccine Research and Development of Severe Infectious Disease, Kunming, 650118, China.,Yunnan Provincial Key Laboratory of Vector-borne Diseases Control and Research, Yunnan Provincial Center of Arborvirus Research, Yunnan Institute of Parasitic Diseases, Pu'er, 665000, Yunnan, China
| | - Jing Sun
- Institute of Medical Biology, Chinese Academy of Medical Sciences and Peking Union Medical College, Kunming, 650118, China.,Yunnan Key Laboratory of Vaccine Research and Development of Severe Infectious Disease, Kunming, 650118, China.,Yunnan Provincial Key Laboratory of Vector-borne Diseases Control and Research, Yunnan Provincial Center of Arborvirus Research, Yunnan Institute of Parasitic Diseases, Pu'er, 665000, Yunnan, China
| | - Meini Wu
- Institute of Medical Biology, Chinese Academy of Medical Sciences and Peking Union Medical College, Kunming, 650118, China.,Yunnan Key Laboratory of Vaccine Research and Development of Severe Infectious Disease, Kunming, 650118, China.,Yunnan Provincial Key Laboratory of Vector-borne Diseases Control and Research, Yunnan Provincial Center of Arborvirus Research, Yunnan Institute of Parasitic Diseases, Pu'er, 665000, Yunnan, China
| | - Hongning Zhou
- Yunnan Provincial Key Laboratory of Vector-borne Diseases Control and Research, Yunnan Provincial Center of Arborvirus Research, Yunnan Institute of Parasitic Diseases, Pu'er, 665000, Yunnan, China.
| | - Yunzhang Hu
- Institute of Medical Biology, Chinese Academy of Medical Sciences and Peking Union Medical College, Kunming, 650118, China. .,Yunnan Key Laboratory of Vaccine Research and Development of Severe Infectious Disease, Kunming, 650118, China. .,Yunnan Provincial Key Laboratory of Vector-borne Diseases Control and Research, Yunnan Provincial Center of Arborvirus Research, Yunnan Institute of Parasitic Diseases, Pu'er, 665000, Yunnan, China.
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13
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Wen S, Ma D, Lin Y, Li L, Hong S, Li X, Wang X, Xi J, Qiu L, Pan Y, Chen J, Shan X, Sun Q. Complete Genome Characterization of the 2017 Dengue Outbreak in Xishuangbanna, a Border City of China, Burma and Laos. Front Cell Infect Microbiol 2018; 8:148. [PMID: 29868504 PMCID: PMC5951998 DOI: 10.3389/fcimb.2018.00148] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2017] [Accepted: 04/20/2018] [Indexed: 11/13/2022] Open
Abstract
A dengue outbreak abruptly occurred at the border of China, Myanmar, and Laos in June 2017. By November 3rd 2017, 1184 infected individuals were confirmed as NS1-positivein Xishuangbanna, a city located at the border. To verify the causative agent, complete genome information was obtained through PCR and sequencing based on the viral RNAs extracted from patient samples. Phylogenetic trees were constructed by the maximum likelihood method (MEGA 6.0). Nucleotide and amino acid substitutions were analyzed by BioEdit, followed by RNA secondary structure prediction of untranslated regions (UTRs) and protein secondary structure prediction in coding sequences (CDSs). Strains YN2, YN17741, and YN176272 were isolated from local residents. Stains MY21 and MY22 were isolated from Burmese travelers. The complete genome sequences of the five isolates were 10,735 nucleotides in length. Phylogenetic analysis classified all five isolates as genotype I of DENV-1, while isolates of local residents and Burmese travelers belonged to different branches. The three locally isolates were most similar to the Dongguan strain in 2011, and the other two isolates from Burmese travelers were most similar to the Laos strain in 2008. Twenty-four amino acid substitutions were important in eight evolutionary tree branches. Comparison with DENV-1SS revealed 658 base substitutions in the local isolates, except for two mutations exclusive to YN17741, resulting in 87 synonymous mutations. Compared with the local isolates, 52 amino acid mutations occurred in the CDS of two isolates from Burmese travelers. Comparing MY21 with MY22, 17 amino acid mutations were observed, all these mutations occurred in the CDS of non-structured proteins (two in NS1, 10 in NS2, two in NS3, three in NS5). Secondary structure prediction revealed 46 changes in the potential nucleotide and protein binding sites of the CDSs in local isolates. RNA secondary structure prediction also showed base changes in the 3′UTR of local isolates, leading to two significant changes in the RNA secondary structure. To our knowledge, this study is the first complete genome analysis of isolates from the 2017 dengue outbreak that occurred at the border areas of China, Burma, and Laos.
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Affiliation(s)
- Songjiao Wen
- Institute of Medical Biology, Peking Union Medical College, Chinese Academy of Medical Sciences, Kunming, China.,Yunnan Key Laboratory of Vaccine Research and Development on Severe Infectious Diseases, Kunming, China.,Yunnan Key Laboratory of Vector-borne Infectious Disease, Kunming, China
| | - Dehong Ma
- Xishuangbanna Dai Autonomous Prefecture People's Hospital, Xishuangbanna, China
| | - Yao Lin
- Institute of Medical Biology, Peking Union Medical College, Chinese Academy of Medical Sciences, Kunming, China.,Yunnan Key Laboratory of Vaccine Research and Development on Severe Infectious Diseases, Kunming, China.,Yunnan Key Laboratory of Vector-borne Infectious Disease, Kunming, China
| | - Lihua Li
- Xishuangbanna Dai Autonomous Prefecture People's Hospital, Xishuangbanna, China
| | - Shan Hong
- Institute of Medical Biology, Peking Union Medical College, Chinese Academy of Medical Sciences, Kunming, China.,Yunnan Key Laboratory of Vaccine Research and Development on Severe Infectious Diseases, Kunming, China.,School of Basic Medicine, Kunming Medical University, Kunming, China
| | - Xiaoman Li
- Institute of Pediatric Disease Research, The Affiliated Children's Hospital of Kunming Medical University, Kunming, China
| | - Xiaodan Wang
- Institute of Medical Biology, Peking Union Medical College, Chinese Academy of Medical Sciences, Kunming, China.,Yunnan Key Laboratory of Vaccine Research and Development on Severe Infectious Diseases, Kunming, China.,Yunnan Key Laboratory of Vector-borne Infectious Disease, Kunming, China
| | - Juemin Xi
- Institute of Medical Biology, Peking Union Medical College, Chinese Academy of Medical Sciences, Kunming, China.,Yunnan Key Laboratory of Vaccine Research and Development on Severe Infectious Diseases, Kunming, China.,Yunnan Key Laboratory of Vector-borne Infectious Disease, Kunming, China
| | - Lijuan Qiu
- Institute of Pediatric Disease Research, The Affiliated Children's Hospital of Kunming Medical University, Kunming, China
| | - Yue Pan
- Institute of Medical Biology, Peking Union Medical College, Chinese Academy of Medical Sciences, Kunming, China.,Yunnan Key Laboratory of Vaccine Research and Development on Severe Infectious Diseases, Kunming, China.,Yunnan Key Laboratory of Vector-borne Infectious Disease, Kunming, China
| | - Junying Chen
- Institute of Medical Biology, Peking Union Medical College, Chinese Academy of Medical Sciences, Kunming, China.,Yunnan Key Laboratory of Vaccine Research and Development on Severe Infectious Diseases, Kunming, China.,Yunnan Key Laboratory of Vector-borne Infectious Disease, Kunming, China
| | - Xiyun Shan
- Xishuangbanna Dai Autonomous Prefecture People's Hospital, Xishuangbanna, China
| | - Qiangming Sun
- Institute of Medical Biology, Peking Union Medical College, Chinese Academy of Medical Sciences, Kunming, China.,Yunnan Key Laboratory of Vaccine Research and Development on Severe Infectious Diseases, Kunming, China.,Yunnan Key Laboratory of Vector-borne Infectious Disease, Kunming, China
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14
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Tan KK, Zulkifle NI, Sulaiman S, Pang SP, NorAmdan N, MatRahim N, Abd-Jamil J, Shu MH, Mahadi NM, AbuBakar S. Emergence of the Asian lineage dengue virus type 3 genotype III in Malaysia. BMC Evol Biol 2018; 18:58. [PMID: 29699483 PMCID: PMC5921268 DOI: 10.1186/s12862-018-1175-4] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2017] [Accepted: 04/11/2018] [Indexed: 01/16/2023] Open
Abstract
Background Dengue virus type 3 genotype III (DENV3/III) is associated with increased number of severe infections when it emerged in the Americas and Asia. We had previously demonstrated that the DENV3/III was introduced into Malaysia in the late 2000s. We investigated the genetic diversity of DENV3/III strains recovered from Malaysia and examined their phylogenetic relationships against other DENV3/III strains isolated globally. Results Phylogenetic analysis revealed at least four distinct DENV3/III lineages. Two of the lineages (DENV3/III-B and DENV3/III-C) are current actively circulating whereas the DENV3/III-A and DENV3/III-D were no longer recovered since the 1980s. Selection pressure analysis revealed strong evidence of positive selection on a number of amino acid sites in PrM, E, NS1, NS2a, NS2b, NS3, NS4a, and NS5. The Malaysian DENV3/III isolates recovered in the 1980s (MY.59538/1987) clustered into DENV3/III-B, which was the lineage with cosmopolitan distribution consisting of strains actively circulating in the Americas, Africa, and Asia. The Malaysian isolates recovered after the 2000s clustered within DENV3/III-C. This DENV3/III-C lineage displayed a more restricted geographical distribution and consisted of isolates recovered from Asia, denoted as the Asian lineage. Amino acid variation sites in NS5 (NS5–553I/M, NS5–629 T, and NS5–820E) differentiated the DENV3/III-C from other DENV3 viruses. The codon 629 of NS5 was identified as a positively selected site. While the NS5-698R was identified as unique to the genome of DENV3/III-C3. Phylogeographic results suggested that the recent Malaysian DENV3/III-C was likely to have been introduced from Singapore in 2008 and became endemic. From Malaysia, the virus subsequently spread into Taiwan and Thailand in the early part of the 2010s and later reintroduced into Singapore in 2013. Conclusions Distinct clustering of the Malaysian old and new DENV3/III isolates suggests that the currently circulating DENV3/III in Malaysia did not descend directly from the strains recovered during the 1980s. Phylogenetic analyses and common genetic traits in the genome of the strains and those from the neighboring countries suggest that the Malaysian DENV3/III is likely to have been introduced from the neighboring regions. Malaysia, however, serves as one of the sources of the recent regional spread of DENV3/III-C3 within the Asia region. Electronic supplementary material The online version of this article (10.1186/s12862-018-1175-4) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Kim-Kee Tan
- Tropical Infectious Diseases Research and Education Centre (TIDREC), University of Malaya, 50603, Kuala Lumpur, Malaysia.,Department of Medical Microbiology, Faculty of Medicine, University of Malaya, 50603, Kuala Lumpur, Malaysia
| | - Nurul-Izzani Zulkifle
- Tropical Infectious Diseases Research and Education Centre (TIDREC), University of Malaya, 50603, Kuala Lumpur, Malaysia
| | - Syuhaida Sulaiman
- Tropical Infectious Diseases Research and Education Centre (TIDREC), University of Malaya, 50603, Kuala Lumpur, Malaysia
| | - Sui-Ping Pang
- Tropical Infectious Diseases Research and Education Centre (TIDREC), University of Malaya, 50603, Kuala Lumpur, Malaysia
| | - NurAsyura NorAmdan
- Tropical Infectious Diseases Research and Education Centre (TIDREC), University of Malaya, 50603, Kuala Lumpur, Malaysia
| | - NorAziyah MatRahim
- Tropical Infectious Diseases Research and Education Centre (TIDREC), University of Malaya, 50603, Kuala Lumpur, Malaysia
| | - Juraina Abd-Jamil
- Tropical Infectious Diseases Research and Education Centre (TIDREC), University of Malaya, 50603, Kuala Lumpur, Malaysia
| | - Meng-Hooi Shu
- Tropical Infectious Diseases Research and Education Centre (TIDREC), University of Malaya, 50603, Kuala Lumpur, Malaysia
| | - Nor Muhammad Mahadi
- Malaysia Genome Institute, Ministry of Science, Technology and Innovation, Jalan Bangi, 43000, Kajang, Selangor, Malaysia
| | - Sazaly AbuBakar
- Tropical Infectious Diseases Research and Education Centre (TIDREC), University of Malaya, 50603, Kuala Lumpur, Malaysia. .,Department of Medical Microbiology, Faculty of Medicine, University of Malaya, 50603, Kuala Lumpur, Malaysia.
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15
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Castonguay-Vanier J, Klitting R, Sengvilaipaseuth O, Piorkowski G, Baronti C, Sibounheuang B, Vongsouvath M, Chanthongthip A, Thongpaseuth S, Mayxay M, Phommasone K, Douangdala P, Inthalath S, Souvannasing P, Newton PN, de Lamballerie X, Dubot-Pérès A. Molecular epidemiology of dengue viruses in three provinces of Lao PDR, 2006-2010. PLoS Negl Trop Dis 2018; 12:e0006203. [PMID: 29377886 PMCID: PMC5805359 DOI: 10.1371/journal.pntd.0006203] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2017] [Revised: 02/08/2018] [Accepted: 01/02/2018] [Indexed: 01/12/2023] Open
Abstract
Few data on dengue epidemiology are available for Lao PDR. Here, we provide information on the complexity of dengue epidemiology in the country, demonstrating dynamic circulation that varies over space and time, according to serotype. We recruited 1,912 consenting patients presenting with WHO dengue criteria at Mahosot Hospital, Vientiane (central Laos), between 2006 and 2010. Between 2008 and 2010, 1,413 patients with undifferentiated fever were also recruited at Luang Namtha (LNT) Provincial Hospital (northern Laos) and 555 at Salavan (SV) Provincial Hospital (southern Laos). We report significant variations in Dengue virus (DENV) circulation between the three sites. Peaks of DENV infection were observed in the rainy seasons, although 11% of confirmed cases in the provinces and 4.6% in the capital were detected during the dry and cool seasons (between December and February). Four DENV serotypes were detected among the 867 RT-PCR positive patients: 76.9% DENV-1, 9.6% DENV-2, 7.7% DENV-4 and 5.3% DENV-3. DENV-1 was the predominant serotype throughout the study except in LNT in 2008 and 2009 when it was DENV-2. Before July 2009, DENV-2 was not detected in SV and only rarely detected in Vientiane. DENV-3 and DENV-4 were commonly detected in Vientiane, before 2008 for DENV-4 and after 2009 for DENV-3. The phylogenetic analyses of DENV envelope sequences suggest concurrent multiple introductions of new strains as well as active DENV circulation throughout Laos and with neighboring countries. It is therefore of great importance to develop and strengthen a year-round nation-wide surveillance network in order to collect data that would allow anticipation of public health issues caused by the occurrence of large dengue outbreaks. Dengue is a mosquito-borne disease that can be caused by 4 viruses. It is a flu-like disease but can sometime be more severe and cause hemorrhage or death. An estimated 390 million people are infected every year, mainly in the Western Pacific and in South-East Asia. In Laos, where our study was conducted from 2006 to 2010, little was known on the circulation of the different dengue viruses. A total of 1,912 patients were recruited at Mahosot Hospital, Vientiane (central Laos), 1,413 patients at Luang Namtha Provincial Hospital (northern Laos) and 555 at Salavan Provincial Hospital (southern Laos). Although most Dengue virus infections were detected during rainy seasons (where mosquitoes are the most active) in all three provinces, some patients were also infected during the dryer months. All 4 dengue viruses were detected with different distributions: mostly type 1 in the capital and in the South, and type 1 and 2 in equal proportion in the north. Type 3 and 4 were not detected in Luang Namtha and rarely in Salavan. Comparison of Dengue virus sequences from Laos with sequences collected worldwide showed an active year-round circulation of dengue within Laos and with neighboring countries. It is hence of great importance to develop and strengthen a year-round nation-wide surveillance network in order to collect data that would allow anticipation of public health issues caused by the occurrence of large dengue outbreaks.
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Affiliation(s)
- Josée Castonguay-Vanier
- Lao-Oxford-Mahosot Hospital-Wellcome Trust Research Unit (LOMWRU), Microbiology Laboratory, Mahosot Hospital, Vientiane, Lao PDR
- Centre for Tropical Medicine & Global Health, Nuffield Department of Clinical Medicine, University of Oxford, Churchill Hospital, Oxford, United Kingdom
| | - Raphaëlle Klitting
- UMR "Unité des Virus Emergents" (UVE: Aix-Marseille Univ–IRD 190 –Inserm 1207 –IHU Méditerranée Infection), Marseille, France
| | - Onanong Sengvilaipaseuth
- Lao-Oxford-Mahosot Hospital-Wellcome Trust Research Unit (LOMWRU), Microbiology Laboratory, Mahosot Hospital, Vientiane, Lao PDR
| | - Géraldine Piorkowski
- UMR "Unité des Virus Emergents" (UVE: Aix-Marseille Univ–IRD 190 –Inserm 1207 –IHU Méditerranée Infection), Marseille, France
| | - Cécile Baronti
- UMR "Unité des Virus Emergents" (UVE: Aix-Marseille Univ–IRD 190 –Inserm 1207 –IHU Méditerranée Infection), Marseille, France
| | - Bountoy Sibounheuang
- Lao-Oxford-Mahosot Hospital-Wellcome Trust Research Unit (LOMWRU), Microbiology Laboratory, Mahosot Hospital, Vientiane, Lao PDR
| | - Manivanh Vongsouvath
- Lao-Oxford-Mahosot Hospital-Wellcome Trust Research Unit (LOMWRU), Microbiology Laboratory, Mahosot Hospital, Vientiane, Lao PDR
| | - Anisone Chanthongthip
- Lao-Oxford-Mahosot Hospital-Wellcome Trust Research Unit (LOMWRU), Microbiology Laboratory, Mahosot Hospital, Vientiane, Lao PDR
| | - Soulignasack Thongpaseuth
- Lao-Oxford-Mahosot Hospital-Wellcome Trust Research Unit (LOMWRU), Microbiology Laboratory, Mahosot Hospital, Vientiane, Lao PDR
| | - Mayfong Mayxay
- Lao-Oxford-Mahosot Hospital-Wellcome Trust Research Unit (LOMWRU), Microbiology Laboratory, Mahosot Hospital, Vientiane, Lao PDR
- Centre for Tropical Medicine & Global Health, Nuffield Department of Clinical Medicine, University of Oxford, Churchill Hospital, Oxford, United Kingdom
- Faculty of Postgraduate Studies, University of Health Sciences, Vientiane, Lao PDR
| | - Koukeo Phommasone
- Lao-Oxford-Mahosot Hospital-Wellcome Trust Research Unit (LOMWRU), Microbiology Laboratory, Mahosot Hospital, Vientiane, Lao PDR
| | | | - Saythong Inthalath
- Luang Namtha Provincial Hospital, Luang Namtha, Luang Namtha Province, Lao PDR
| | | | - Paul N. Newton
- Lao-Oxford-Mahosot Hospital-Wellcome Trust Research Unit (LOMWRU), Microbiology Laboratory, Mahosot Hospital, Vientiane, Lao PDR
- Centre for Tropical Medicine & Global Health, Nuffield Department of Clinical Medicine, University of Oxford, Churchill Hospital, Oxford, United Kingdom
| | - Xavier de Lamballerie
- UMR "Unité des Virus Emergents" (UVE: Aix-Marseille Univ–IRD 190 –Inserm 1207 –IHU Méditerranée Infection), Marseille, France
| | - Audrey Dubot-Pérès
- Lao-Oxford-Mahosot Hospital-Wellcome Trust Research Unit (LOMWRU), Microbiology Laboratory, Mahosot Hospital, Vientiane, Lao PDR
- Centre for Tropical Medicine & Global Health, Nuffield Department of Clinical Medicine, University of Oxford, Churchill Hospital, Oxford, United Kingdom
- UMR "Unité des Virus Emergents" (UVE: Aix-Marseille Univ–IRD 190 –Inserm 1207 –IHU Méditerranée Infection), Marseille, France
- * E-mail:
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16
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Sittivicharpinyo T, Wonnapinij P, Surat W. Phylogenetic analyses of DENV-3 isolated from field-caught mosquitoes in Thailand. Virus Res 2017; 244:27-35. [PMID: 29126872 DOI: 10.1016/j.virusres.2017.10.021] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2017] [Revised: 10/31/2017] [Accepted: 10/31/2017] [Indexed: 12/28/2022]
Abstract
Dengue virus serotype 3 (DENV-3) can cause all forms of dengue diseases and is a predominant serotype in many countries. This serotype is classified into five genotypes: I-V. Genotypes I-III have widely spread throughout the world, whereas genotypes IV and V are rare. Despite the impact on the spread of dengue diseases, only a few studies have reported the characteristics of DENV present in mosquito vectors. Hence, this study aimed to identify DENV-3 genotypes and reveal genetic variation of this virus presented in field-caught mosquitoes collected from endemic areas in Thailand during 2011-2015. First, we examined the effectiveness of the E gene sequence on DENV-3 genotyping, with results supporting the use of this gene for genotype identification. Then, we sequenced this gene in ten DENV-3 strains isolated from mosquitoes. The results showed that eight and two samples were genotypes III and V, respectively, and that they are closely related to DENV-3 isolated from Southeast and East Asian samples. The translated E gene sequences showed 25 unique amino acid (AA) residues located at 23 positions. Eight out of 25 residues have different chemical properties compared to the conserved AAs that are distributed across the three domains functioning in virus-host interaction. Hence, our study reports the first DENV-3 genotype V in Thailand, with these viruses potentially influencing both the disease severity and epidemic potential of DENV-3.
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Affiliation(s)
- Thikhumporn Sittivicharpinyo
- Evolutionary Genetics and Computational Biology Research Unit, Department of Genetics, Faculty of Science, Kasetsart University, Thailand
| | - Passorn Wonnapinij
- Evolutionary Genetics and Computational Biology Research Unit, Department of Genetics, Faculty of Science, Kasetsart University, Thailand; Centre for Advanced Studies in Tropical Natural Resources, National Research University-Kasetsart University, Kasetsart University (CASTNAR, NRU-KU), Thailand
| | - Wunrada Surat
- Evolutionary Genetics and Computational Biology Research Unit, Department of Genetics, Faculty of Science, Kasetsart University, Thailand; Centre for Advanced Studies in Tropical Natural Resources, National Research University-Kasetsart University, Kasetsart University (CASTNAR, NRU-KU), Thailand.
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17
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Wu C, Guo X, Zhao J, Lv Q, Li H, McNeil EB, Chongsuvivatwong V, Zhou H. Behaviors Related to Mosquito-Borne Diseases among Different Ethnic Minority Groups along the China-Laos Border Areas. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2017; 14:E1227. [PMID: 29036937 PMCID: PMC5664728 DOI: 10.3390/ijerph14101227] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/15/2017] [Revised: 10/02/2017] [Accepted: 10/12/2017] [Indexed: 11/16/2022]
Abstract
Background: In China, mosquito-borne diseases are most common in the sub-tropical area of Yunnan province. The objective of this study was to examine behaviors related to mosquito-borne diseases in different ethnic minority groups and different socioeconomic groups of people living in this region. Methods: A stratified two-stage cluster sampling technique with probability proportional to size was used in Mengla County, Xishuangbanna Prefecture, Yunnan. Twelve villages were used to recruit adult (≥18 years old) and eight schools were used for children (<18 years old). A questionnaire on behaviors and environment variables related to mosquito-borne diseases was devised. Results: Multiple correspondence analysis (MCA) grouped 20 behaviors into three domains, namely, environmental condition, bed net use behaviors, and repellent use behaviors, respectively. The Han ethnicity had the lowest odds of rearing pigs, their odds being significantly lower than those of Yi and Yao. For bed net use, Dai and other ethnic minority groups were less likely to use bed nets compared to Yi and Yao. The odds of repellent use in the Han ethnicity was lower than in Yi, but higher than in Dai. The Dai group was the most likely ethnicity to use repellents. Farmers were at a higher risk for pig rearing and not using repellents. Education of less than primary school held the lowest odds of pig rearing. Those with low income were at a higher risk for not using bed nets and repellent except in pig rearing. Those with a small family size were at a lower risk for pig rearing. Conclusion: Different ethnic and socioeconomic groups in the study areas require different specific emphases for the prevention of mosquito-borne diseases.
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Affiliation(s)
- Chao Wu
- Yunnan Institute of Parasitic Diseases, Puer 665000, China.
- Epidemiology Unit, Faculty of Medicine, Prince of Songkla University, Hat Yai, Songkhla 90110, Thailand.
| | - Xiaofang Guo
- Yunnan Institute of Parasitic Diseases, Puer 665000, China.
| | - Jun Zhao
- Epidemiology Unit, Faculty of Medicine, Prince of Songkla University, Hat Yai, Songkhla 90110, Thailand.
- Hubei University of Medicine, Shiyan 442000, China.
| | - Quan Lv
- Yunnan Institute of Parasitic Diseases, Puer 665000, China.
| | - Hongbin Li
- Xishuangbanna Prefecture Center of Disease prevention and Control, Jinghong 666100, China.
| | - Edward B McNeil
- Epidemiology Unit, Faculty of Medicine, Prince of Songkla University, Hat Yai, Songkhla 90110, Thailand.
| | - Virasakdi Chongsuvivatwong
- Epidemiology Unit, Faculty of Medicine, Prince of Songkla University, Hat Yai, Songkhla 90110, Thailand.
| | - Hongning Zhou
- Yunnan Institute of Parasitic Diseases, Puer 665000, China.
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18
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Guo C, Zhou Z, Wen Z, Liu Y, Zeng C, Xiao D, Ou M, Han Y, Huang S, Liu D, Ye X, Zou X, Wu J, Wang H, Zeng EY, Jing C, Yang G. Global Epidemiology of Dengue Outbreaks in 1990-2015: A Systematic Review and Meta-Analysis. Front Cell Infect Microbiol 2017; 7:317. [PMID: 28748176 PMCID: PMC5506197 DOI: 10.3389/fcimb.2017.00317] [Citation(s) in RCA: 201] [Impact Index Per Article: 28.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2017] [Accepted: 06/27/2017] [Indexed: 12/21/2022] Open
Abstract
Dengue is an arthropod-borne infectious disease caused by dengue virus (DENV) infection and transmitted by Aedes mosquitoes. Approximately 50–100 million people are infected with DENV each year, resulting in a high economic burden on both governments and individuals. Here, we conducted a systematic review and meta-analysis to summarize information regarding the epidemiology, clinical characteristics, and serotype distribution and risk factors for global dengue outbreaks occurring from 1990 to 2015. We searched the PubMed, Embase and Web of Science databases through December 2016 using the term “dengue outbreak.” In total, 3,853 studies were identified, of which 243 studies describing 262 dengue outbreaks met our inclusion criteria. The majority of outbreak-associated dengue cases were reported in the Western Pacific Region, particularly after the year 2010; these cases were primarily identified in China, Singapore and Malaysia. The pooled mean age of dengue-infected individuals was 30.1 years; of the included patients, 54.5% were male, 23.2% had DHF, 62.0% had secondary infections, and 1.3% died. The mean age of dengue patients reported after 2010 was older than that of patients reported before 2010 (34.0 vs. 27.2 years); however, the proportions of patients who had DHF, had secondary infections and died significantly decreased after 2010. Fever, malaise, headache, and asthenia were the most frequently reported clinical symptoms and signs among dengue patients. In addition, among the identified clinical symptoms and signs, positive tourniquet test (OR = 4.86), ascites (OR = 13.91) and shock (OR = 308.09) were identified as the best predictors of dengue infection, DHF and mortality, respectively (both P < 0.05). The main risk factors for dengue infection, DHF and mortality were living with uncovered water container (OR = 1.65), suffering from hypotension (OR = 6.18) and suffering from diabetes mellitus (OR = 2.53), respectively (all P < 0.05). The serotype distribution varied with time and across WHO regions. Overall, co-infections were reported in 47.7% of the evaluated outbreaks, and the highest pooled mortality rate (2.0%) was identified in DENV-2 dominated outbreaks. Our study emphasizes the necessity of implementing programs focused on targeted prevention, early identification, and effective treatment.
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Affiliation(s)
- Congcong Guo
- Department of Epidemiology, School of Medicine, Jinan UniversityGuangzhou, China
| | - Zixing Zhou
- Department of Epidemiology, School of Medicine, Jinan UniversityGuangzhou, China
| | - Zihao Wen
- Department of Epidemiology, School of Medicine, Jinan UniversityGuangzhou, China
| | - Yumei Liu
- Department of Epidemiology, School of Medicine, Jinan UniversityGuangzhou, China.,Department of Parasitology, School of Medicine, Jinan UniversityGuangzhou, China
| | - Chengli Zeng
- Department of Epidemiology, School of Medicine, Jinan UniversityGuangzhou, China
| | - Di Xiao
- Department of Epidemiology, School of Medicine, Jinan UniversityGuangzhou, China
| | - Meiling Ou
- Department of Epidemiology, School of Medicine, Jinan UniversityGuangzhou, China.,Department of Parasitology, School of Medicine, Jinan UniversityGuangzhou, China
| | - Yajing Han
- Department of Epidemiology, School of Medicine, Jinan UniversityGuangzhou, China.,Department of Parasitology, School of Medicine, Jinan UniversityGuangzhou, China
| | - Shiqi Huang
- Department of Epidemiology, School of Medicine, Jinan UniversityGuangzhou, China
| | - Dandan Liu
- Department of Epidemiology, School of Medicine, Jinan UniversityGuangzhou, China
| | - Xiaohong Ye
- Department of Epidemiology, School of Medicine, Jinan UniversityGuangzhou, China.,Department of Parasitology, School of Medicine, Jinan UniversityGuangzhou, China
| | - Xiaoqian Zou
- Department of Epidemiology, School of Medicine, Jinan UniversityGuangzhou, China.,Department of Parasitology, School of Medicine, Jinan UniversityGuangzhou, China
| | - Jing Wu
- Department of Epidemiology, School of Medicine, Jinan UniversityGuangzhou, China.,Department of Parasitology, School of Medicine, Jinan UniversityGuangzhou, China
| | - Huanyu Wang
- Department of Viral Encephalitis, Chinese Center for Disease Control and Prevention, Institute for Viral Disease Control and Prevention, National Institute for Viral Disease Control and PreventionBeijing, China.,State Key Laboratory for Infectious Disease Prevention and Control, Chinese Center for Disease Control and PreventionBeijing, China
| | - Eddy Y Zeng
- Guangzhou Key Laboratory of Environmental Exposure and Health, Guangdong Key Laboratory of Environmental Pollution and Health, School of Environment, Jinan UniversityGuangzhou, China
| | - Chunxia Jing
- Department of Epidemiology, School of Medicine, Jinan UniversityGuangzhou, China.,Guangzhou Key Laboratory of Environmental Exposure and Health, Guangdong Key Laboratory of Environmental Pollution and Health, School of Environment, Jinan UniversityGuangzhou, China
| | - Guang Yang
- Department of Parasitology, School of Medicine, Jinan UniversityGuangzhou, China.,Guangzhou Key Laboratory of Environmental Exposure and Health, Guangdong Key Laboratory of Environmental Pollution and Health, School of Environment, Jinan UniversityGuangzhou, China
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19
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Hu TS, Zhang HL, Feng Y, Fan JH, Tang T, Liu YH, Zhang L, Yin XX, Chen G, Li HC, Zu J, Li HB, Li YY, Yu J, Zhang FQ, Fan QS. Epidemiological and molecular characteristics of emergent dengue virus in Yunnan Province near the China-Myanmar-Laos border, 2013-2015. BMC Infect Dis 2017; 17:331. [PMID: 28482813 PMCID: PMC5422898 DOI: 10.1186/s12879-017-2401-1] [Citation(s) in RCA: 30] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2016] [Accepted: 04/12/2017] [Indexed: 11/18/2022] Open
Abstract
Background Yunnan Province is located in southwestern China and neighbors the Southeast Asian countries, all of which are dengue-endemic areas. In 2000–2013, sporadic imported cases of dengue fever (DF) were reported almost annually in Yunnan Province. During 2013–2015, we confirmed that a large-scale indigenous DF outbreak emerged in cities of Yunnan Province near the China-Myanmar-Laos border. Methods Epidemiological characteristics of DF in Yunnan Province during 2013–2015 were evaluated by retrospective analysis. A total of 232 dengue virus (DENV)-positive sera were randomly collected for sequence analysis of the capsid/premembrane region of DENV from patients with DF in Yunnan Province. The envelope gene of DENV isolates was also amplified and sequenced. Phylogenetic analyses were performed using the neighbor-joining method with the Tajima-Nei model. Results Phylogenetically, all DENV-positive samples could be classified into DENV-1 genotype I and DENV-2 Asian I genotype during 2013–2015 and DENV-4 genotype I in 2015 from Ruili City; and DENV-3 genotype II in 2013 and DENV-2 Cosmopolitan genotype in 2015 from Xishuangbanna Prefecture. Conclusions Our results indicated that imported DF from patients from Laos and Myanmar was the primary cause of the DF epidemic in Yunnan Province. Additionally, DENV strains of all four serotypes were identified in indigenous cases in Yunnan Province during the same time period, while the dengue epidemic pattern observed in southwestern Yunnan showed characteristics of a hypoendemic nature: circulation of DENV-1 and DENV-2 over consecutive years. Electronic supplementary material The online version of this article (doi:10.1186/s12879-017-2401-1) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Ting-Song Hu
- Center for Disease Control and Prevention, Chengdu Military Region, 168 Daguan Road, Kunming, 650032, People's Republic of China.,The Postdoctoral Programme of Kunming General Hospital, Chengdu Military Region, Kunming, People's Republic of China
| | - Hai-Lin Zhang
- Center for Disease Control and Prevention, Chengdu Military Region, 168 Daguan Road, Kunming, 650032, People's Republic of China.,Yunnan Institute of Endemic Diseases Control and Prevention, Dali, Yunnan, People's Republic of China
| | - Yun Feng
- Yunnan Institute of Endemic Diseases Control and Prevention, Dali, Yunnan, People's Republic of China
| | - Jian-Hua Fan
- Xishuangbanna Center for Disease Control and Prevention, Jinghong, Yunnan, People's Republic of China
| | - Tian Tang
- Center for Disease Control and Prevention, Chengdu Military Region, 168 Daguan Road, Kunming, 650032, People's Republic of China
| | - Yong-Hua Liu
- Ruili Center for Disease Control and Prevention, Ruili, Yunnan, People's Republic of China
| | - Liu Zhang
- Center for Disease Control and Prevention, Chengdu Military Region, 168 Daguan Road, Kunming, 650032, People's Republic of China
| | - Xiao-Xiong Yin
- Ruili Center for Disease Control and Prevention, Ruili, Yunnan, People's Republic of China
| | - Gang Chen
- Center for Disease Control and Prevention, Chengdu Military Region, 168 Daguan Road, Kunming, 650032, People's Republic of China
| | - Hua-Chang Li
- Lincang Center for Disease Control and Prevention, Lincang, Yunnan, People's Republic of China
| | - Jin Zu
- Xishuangbanna Center for Disease Control and Prevention, Jinghong, Yunnan, People's Republic of China
| | - Hong-Bin Li
- Xishuangbanna Center for Disease Control and Prevention, Jinghong, Yunnan, People's Republic of China
| | - Yuan-Yuan Li
- Xishuangbanna Center for Disease Control and Prevention, Jinghong, Yunnan, People's Republic of China
| | - Jing Yu
- Center for Disease Control and Prevention, Chengdu Military Region, 168 Daguan Road, Kunming, 650032, People's Republic of China
| | - Fu-Qiang Zhang
- Center for Disease Control and Prevention, Chengdu Military Region, 168 Daguan Road, Kunming, 650032, People's Republic of China.
| | - Quan-Shui Fan
- Center for Disease Control and Prevention, Chengdu Military Region, 168 Daguan Road, Kunming, 650032, People's Republic of China.
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20
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Wang J, Chen H, Huang M, Zhang Y, Xie J, Yan Y, Zheng K, Weng Y. Epidemiological and etiological investigation of dengue fever in the Fujian province of China during 2004–2014. SCIENCE CHINA-LIFE SCIENCES 2016; 60:72-80. [DOI: 10.1007/s11427-016-0021-y] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/23/2016] [Accepted: 04/14/2016] [Indexed: 10/20/2022]
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21
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Zhao Y, Li L, Ma D, Luo J, Ma Z, Wang X, Pan Y, Chen J, Xi J, Yang J, Qiu L, Bai C, Jiang L, Shan X, Sun Q. Molecular Characterization and Viral Origin of the 2015 Dengue Outbreak in Xishuangbanna, Yunnan, China. Sci Rep 2016; 6:34444. [PMID: 27681163 PMCID: PMC5041078 DOI: 10.1038/srep34444] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2016] [Accepted: 09/13/2016] [Indexed: 11/17/2022] Open
Abstract
A total of 1067 serum samples were collected from febrile patients in Xishuangbanna, Yunnan, 2015. Of these, 852 cases were confirmed to be dengue NS1-positive. 76 structural protein genes were sequenced through RT-PCR based on the viral RNAs extracted from serum samples. Phylogenetic analysis revealed that all strains were classified as cosmopolitan genotype of DENV-2. After comparing with the DENV-2SS, 173 base substitutions were found in 76 sequences, resulting in 43 nonsynonymous mutations, of which 22 mutations existed among all samples. According to secondary structure prediction, 8 new possible nucelotide/protein binding sites were found and another 4 sites were lost among the 775 amino acids of DENV structural proteins as compared with DENV-2SS. Meanwhile, 6 distinct amino acid changes were found in the helix and strand regions, and the distribution of the exposed and buried regions was slightly altered. The results indicated that the epidemic dengue strains of Xishuangbanna in 2015 are most similar to the Indian strain in 2001 and the Sri Lankan strain in 2004. Moreover, it also show a very strong similarity to the epidemic strains of Fujian province in 1999 and 2010, which show that there is an internal recycling epidemic trend of DENV in China.
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Affiliation(s)
- Yujiao Zhao
- Institute of Medical Biology, Chinese Academy of Medical Sciences, and Peking Union Medical College, Kunming 650118, PR China
- Yunnan Key Laboratory of Vaccine Research &Development on Severe Infectious Diseases, Kunming 650118, PR China
| | - Lihua Li
- Xishuangbanna Dai Autonomous Prefecture People's Hospital, Jinghong 666100, PR China
| | - Dehong Ma
- Xishuangbanna Dai Autonomous Prefecture People's Hospital, Jinghong 666100, PR China
| | - Jia Luo
- Institute of Medical Biology, Chinese Academy of Medical Sciences, and Peking Union Medical College, Kunming 650118, PR China
- Yunnan Key Laboratory of Vaccine Research &Development on Severe Infectious Diseases, Kunming 650118, PR China
- Kunming Medical University, Kunming 650500, PR China
| | - Zhiqiang Ma
- Xishuangbanna Dai Autonomous Prefecture People's Hospital, Jinghong 666100, PR China
| | - Xiaodan Wang
- Institute of Medical Biology, Chinese Academy of Medical Sciences, and Peking Union Medical College, Kunming 650118, PR China
- Yunnan Key Laboratory of Vaccine Research &Development on Severe Infectious Diseases, Kunming 650118, PR China
| | - Yue Pan
- Institute of Medical Biology, Chinese Academy of Medical Sciences, and Peking Union Medical College, Kunming 650118, PR China
- Yunnan Key Laboratory of Vaccine Research &Development on Severe Infectious Diseases, Kunming 650118, PR China
| | - Junying Chen
- Institute of Medical Biology, Chinese Academy of Medical Sciences, and Peking Union Medical College, Kunming 650118, PR China
- Yunnan Key Laboratory of Vaccine Research &Development on Severe Infectious Diseases, Kunming 650118, PR China
| | - Juemin Xi
- Institute of Medical Biology, Chinese Academy of Medical Sciences, and Peking Union Medical College, Kunming 650118, PR China
- Yunnan Key Laboratory of Vaccine Research &Development on Severe Infectious Diseases, Kunming 650118, PR China
| | - Jiajia Yang
- Institute of Medical Biology, Chinese Academy of Medical Sciences, and Peking Union Medical College, Kunming 650118, PR China
- Yunnan Key Laboratory of Vaccine Research &Development on Severe Infectious Diseases, Kunming 650118, PR China
| | - Lijuan Qiu
- Institute of Medical Biology, Chinese Academy of Medical Sciences, and Peking Union Medical College, Kunming 650118, PR China
- Yunnan Key Laboratory of Vaccine Research &Development on Severe Infectious Diseases, Kunming 650118, PR China
| | - Chunhai Bai
- Xishuangbanna Dai Autonomous Prefecture People's Hospital, Jinghong 666100, PR China
| | - Liming Jiang
- Institute of Medical Biology, Chinese Academy of Medical Sciences, and Peking Union Medical College, Kunming 650118, PR China
- Yunnan Key Laboratory of Vaccine Research &Development on Severe Infectious Diseases, Kunming 650118, PR China
| | - Xiyun Shan
- Xishuangbanna Dai Autonomous Prefecture People's Hospital, Jinghong 666100, PR China
| | - Qiangming Sun
- Institute of Medical Biology, Chinese Academy of Medical Sciences, and Peking Union Medical College, Kunming 650118, PR China
- Yunnan Key Laboratory of Vaccine Research &Development on Severe Infectious Diseases, Kunming 650118, PR China
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22
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Phommanivong V, Kanda S, Shimono T, Lamaningao P, Darcy AW, Mishima N, Phaytanavanh B, Nishiyama T. Co-circulation of the dengue with chikungunya virus during the 2013 outbreak in the southern part of Lao PDR. Trop Med Health 2016; 44:24. [PMID: 27524929 PMCID: PMC4973078 DOI: 10.1186/s41182-016-0020-y] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2016] [Accepted: 07/04/2016] [Indexed: 11/13/2022] Open
Abstract
Background During the 2013 outbreak, 4638 infection cases and 32 deaths have been recorded in the southern part of Laos. In recent years, the chikungunya virus (CHIKV) emerged in the part of the country bordering Cambodia. Dengue virus (DENV) and CHIKV are transmitted by common mosquito vectors. Both diseases have similar clinical presentations; therefore, CHIKV infections might go undiagnosed in DENV-endemic areas. Thus, rapid detection and accurate diagnosis are crucial for differentiating between the two viruses (DENV and CHIKV). In this study, we demonstrated that CHIKV and two serotypes of DENV are circulating in Laos. In addition, we encountered patients that had been concurrently infected with multiple DENV serotypes or DENV and CHIKV. Methods Plasma samples were collected from 40 patients with suspected DENV infections during an outbreak between July and August 2013. The reverse transcription polymerase chain reaction was performed to detect the four DENV serotypes and CHIKV using specific primers. Specifically, the complete envelope gene sequences of the viruses were sequenced and subjected to phylogenetic analysis. Results Forty acute-phase plasma samples from patients with suspected dengue infections were tested for the presence of DENV viral RNA using molecular methods. Among the 40 samples, 14 samples were positive for DENV, 2 samples were positive for both viruses (DENV-2 and DENV-3), whereas DENV-1 and DENV-4 were not detected during the study period. We also encountered 10 samples that were positive for CHIKV. Of the 10 CHIKV-positive samples, 3 samples were co-infected by DENV-2, and 2 samples were co-infected by DENV-3. Phylogenetic analysis revealed that the 2013 dengue outbreak in Laos involved DENV-2 genotype Asian I and DENV-3 genotype II. Moreover, the Laotian CHIKV strains grouped together with those isolated during outbreaks on the Indian Ocean Islands within the East Central South African genotype. Conclusions These findings revealed that two serotypes (DENV-2 and DENV-3) and CHIKV were detected. Furthermore, infection of multiple DENV serotypes and CHIKV was also observed in the 2013 dengue outbreak. This is the first documented evidence of co-infection with CHIKV and one of two DENV serotypes.
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Affiliation(s)
- Viengvaly Phommanivong
- Department of Public Health, Kansai Medical University, 2-5-1, Shinmachi, Hirakata-shi, Osaka, 573-1010 Japan
| | - Seiji Kanda
- Department of Public Health, Kansai Medical University, 2-5-1, Shinmachi, Hirakata-shi, Osaka, 573-1010 Japan
| | - Takaki Shimono
- Department of Public Health, Kansai Medical University, 2-5-1, Shinmachi, Hirakata-shi, Osaka, 573-1010 Japan
| | - Pheophet Lamaningao
- Department of Public Health, Kansai Medical University, 2-5-1, Shinmachi, Hirakata-shi, Osaka, 573-1010 Japan
| | - Andrew Waleluma Darcy
- Department of Public Health, Kansai Medical University, 2-5-1, Shinmachi, Hirakata-shi, Osaka, 573-1010 Japan
| | - Nobuyuki Mishima
- Department of Public Health, Kansai Medical University, 2-5-1, Shinmachi, Hirakata-shi, Osaka, 573-1010 Japan
| | | | - Toshimasa Nishiyama
- Department of Public Health, Kansai Medical University, 2-5-1, Shinmachi, Hirakata-shi, Osaka, 573-1010 Japan
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23
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Tambo E, Chen JH, Zhou XN, Khater EIM. Outwitting dengue threat and epidemics resurgence in Asia-Pacific countries: strengthening integrated dengue surveillance, monitoring and response systems. Infect Dis Poverty 2016; 5:56. [PMID: 27233238 PMCID: PMC4884387 DOI: 10.1186/s40249-016-0148-3] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2015] [Accepted: 05/18/2016] [Indexed: 02/07/2023] Open
Abstract
Dengue is still a substantial vector-borne viral disease threat and burden of public health importance worldwide. This situation is complicated by dengue virus unprecedented resurgence and persistence of varied serotypes in endemic-prone areas, and man-made and natural activities consequences that promote vector emergence, transmission dynamics and spread across the Asia-Pacific region. There is an urgent need to strengthen operational and contextual surveillance-response research in improving early detection of active reservoir detection, novel drug in case management and quality evidence-based response including the deployment of dengue mass vaccination. Moreover, sustained mapping and watching of dengue risk factors or determinants, performance and outcome indicators of control or elimination programs effectiveness in defining minimum effective data towards community knowledge-based decision-making policy and effective response packages is imperative. Moreover, implementation of a robust, integrated dengue early warning surveillance, monitoring and response systems metrics is required for evidence-based, timely and cost-effective contextual mitigation strategies, and innovative interventions.
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Affiliation(s)
- Ernest Tambo
- Department of Biochemistry and Pharmaceutical Sciences, Higher Institute of Public Health Sciences, Université des Montagnes, Bangangté, Cameroon. .,Africa Disease Intelligence and Surveillance, Communication and Response (Africa DISCoR) Foundation, Yaoundé, Cameroon. .,Public Health Pests Laboratory, Jeddah, Jeddah Governate, Saudi Arabia.
| | - Jun-Hu Chen
- National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention, Shanghai, 200025, People's Republic of China.,Key Laboratory of Parasite and Vector Biology of the Chinese Ministry of Health, Shanghai, 200025, People's Republic of China.,WHO Collaborating Centre for Tropical Diseases, Shanghai, 200025, People's Republic of China
| | - Xiao-Nong Zhou
- National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention, Shanghai, 200025, People's Republic of China. .,Key Laboratory of Parasite and Vector Biology of the Chinese Ministry of Health, Shanghai, 200025, People's Republic of China. .,WHO Collaborating Centre for Tropical Diseases, Shanghai, 200025, People's Republic of China.
| | - Emad I M Khater
- Public Health Pests Laboratory, Jeddah, Jeddah Governate, Saudi Arabia
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