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Li J, Zhang L, Zou W, Yang Z, Zhan J, Cheng J. Epidemiology and genetic diversity of norovirus GII genogroups among children in Hubei, China, 2017-2019. Virol Sin 2023; 38:351-362. [PMID: 37030436 PMCID: PMC10311278 DOI: 10.1016/j.virs.2023.04.002] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2022] [Accepted: 04/03/2023] [Indexed: 04/10/2023] Open
Abstract
Norovirus (NoV) is an important cause of viral acute gastroenteritis (AGE). To gain insights into the epidemiological characteristics and genetic diversity of NoV among children in Hubei, 1216 stool samples from children (≤ 5 years) obtained under AGE surveillance from January 2017 to December 2019 were analyzed. The results showed that NoV was responsible for 14.64% of AGE cases, with the highest detection rate in children aged 7-12 months (19.76%). Statistically significant differences were found between male and female infection rates (χ2 = 8.108, P = 0.004). Genetic analysis of RdRp and VP1 sequences showed that NoV GII genotypes were GII.4 Sydney [P31] (34.35%), GII.3 [P12] (25.95%), GII.2 [P16] (22.90%), GII.4 Sydney [P16] (12.98%), GII.17 [P17] (2.29%), GII.6 [P7] and GII.3 [P16] (each at 0.76%). GII.17 [P17] variants were divided into the Kawasaki323-like lineage and the Kawasaki308-like lineage. A unique recombination event was detected between strains of GII.4 Sydney 2012 and GII.4 Sydney 2016. Significantly, all GII.P16 sequences associated with GII.4/GII.2 obtained in Hubei were correlated with novel GII.2 [P16] variants that re-emerged in Germany in 2016. Antigenic site analysis of complete VP1 sequences from all GII.4 variants from Hubei identified notable variable residues of antibody epitopes. Genotyping under continuous AGE surveillance and observation of the antigenic sites of VP1 are important monitoring strategies for emerging NoV strains.
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Affiliation(s)
- Jing Li
- Hubei Provincial Center for Disease Control and Prevention, Wuhan, 430079, China
| | - Lingyao Zhang
- Hubei Provincial Center for Disease Control and Prevention, Wuhan, 430079, China
| | - Wenjing Zou
- Hubei Provincial Center for Disease Control and Prevention, Wuhan, 430079, China
| | - Zhaohui Yang
- Hubei Provincial Center for Disease Control and Prevention, Wuhan, 430079, China
| | - Jianbo Zhan
- Hubei Provincial Center for Disease Control and Prevention, Wuhan, 430079, China.
| | - Jing Cheng
- Wuhan University of Science and Technology, Wuhan, 430065, China.
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Huang Y, Zhou N, Zhang S, Yi Y, Han Y, Liu M, Han Y, Shi N, Yang L, Wang Q, Cui T, Jin H. Norovirus detection in wastewater and its correlation with human gastroenteritis: a systematic review and meta-analysis. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2022; 29:22829-22842. [PMID: 35048346 PMCID: PMC8769679 DOI: 10.1007/s11356-021-18202-x] [Citation(s) in RCA: 27] [Impact Index Per Article: 13.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/24/2021] [Accepted: 12/14/2021] [Indexed: 06/14/2023]
Abstract
Norovirus (NoV) is a major cause of sporadic cases and outbreaks of acute gastroenteritis (AGE), thereby imposing threat to health globally. It is unclear how quantitation of wastewater NoV reflects the incidence of human AGE infections; therefore, we conducted this systematic review and meta-analysis of published NoV wastewater surveillance studies. A literature search was performed, and all studies on NoV wastewater surveillance were identified. Quantitative results were evaluated. The results showed that the overall detection rate of NoV in wastewater was 82.10% (95% confidence interval [CI]: 74.22-89.92%); NoV concentration was statistically significant in terms of season (P < 0.001), with higher concentration in spring and winter. There were positive correlations between NoV GII concentration in wastewater and GII AGE cases (rs = 0.51, 95% CI: 0.18-0.74, I2 = 0%), total AGE cases (rs = 0.40, 95% CI: 0.15-0.61, I2 = 23%) and NoV outbreaks (rs = 0.47, 95% CI: 0.30-0.62, I2 = 0%). Results of cross-correlation analysis of partial data indicated that variations in GII concentration were consistent with or ahead of those in the number of AGE cases. The diversity of NoV genotypes in wastewater was elucidated, and the dominant strains in wastewater showed a consistent temporal distribution with those responsible for human AGE. Our study demonstrated the potential association of NoV detected in wastewater with AGE infections, and further studies are needed to confirm this conclusion.
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Affiliation(s)
- Yue Huang
- Department of Epidemiology and Health Statistics, School of Public Health, Southeast University, Nanjing, 210009, China
- Key Laboratory of Environmental Medicine Engineering, Ministry of Education, School of Public Health, Southeast University, Nanjing, 210009, China
| | - Nan Zhou
- Department of Epidemiology and Health Statistics, School of Public Health, Southeast University, Nanjing, 210009, China
- Key Laboratory of Environmental Medicine Engineering, Ministry of Education, School of Public Health, Southeast University, Nanjing, 210009, China
| | - Shihan Zhang
- Department of Epidemiology and Health Statistics, School of Public Health, Southeast University, Nanjing, 210009, China
- Key Laboratory of Environmental Medicine Engineering, Ministry of Education, School of Public Health, Southeast University, Nanjing, 210009, China
| | - Youqin Yi
- Department of Epidemiology and Health Statistics, School of Public Health, Southeast University, Nanjing, 210009, China
- Key Laboratory of Environmental Medicine Engineering, Ministry of Education, School of Public Health, Southeast University, Nanjing, 210009, China
| | - Ying Han
- Department of Epidemiology and Health Statistics, School of Public Health, Southeast University, Nanjing, 210009, China
- Key Laboratory of Environmental Medicine Engineering, Ministry of Education, School of Public Health, Southeast University, Nanjing, 210009, China
| | - Minqi Liu
- Department of Epidemiology and Health Statistics, School of Public Health, Southeast University, Nanjing, 210009, China
- Key Laboratory of Environmental Medicine Engineering, Ministry of Education, School of Public Health, Southeast University, Nanjing, 210009, China
| | - Yue Han
- Department of Epidemiology and Health Statistics, School of Public Health, Southeast University, Nanjing, 210009, China
- Key Laboratory of Environmental Medicine Engineering, Ministry of Education, School of Public Health, Southeast University, Nanjing, 210009, China
| | - Naiyang Shi
- Department of Epidemiology and Health Statistics, School of Public Health, Southeast University, Nanjing, 210009, China
- Key Laboratory of Environmental Medicine Engineering, Ministry of Education, School of Public Health, Southeast University, Nanjing, 210009, China
| | - Liuqing Yang
- Department of Epidemiology and Health Statistics, School of Public Health, Southeast University, Nanjing, 210009, China
- Key Laboratory of Environmental Medicine Engineering, Ministry of Education, School of Public Health, Southeast University, Nanjing, 210009, China
| | - Qiang Wang
- Department of Epidemiology and Health Statistics, School of Public Health, Southeast University, Nanjing, 210009, China
- Key Laboratory of Environmental Medicine Engineering, Ministry of Education, School of Public Health, Southeast University, Nanjing, 210009, China
| | - Tingting Cui
- Department of Epidemiology and Health Statistics, School of Public Health, Southeast University, Nanjing, 210009, China
- Key Laboratory of Environmental Medicine Engineering, Ministry of Education, School of Public Health, Southeast University, Nanjing, 210009, China
| | - Hui Jin
- Department of Epidemiology and Health Statistics, School of Public Health, Southeast University, Nanjing, 210009, China.
- Key Laboratory of Environmental Medicine Engineering, Ministry of Education, School of Public Health, Southeast University, Nanjing, 210009, China.
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Cantelli CP, Fumian TM, Malta FC, da Cunha DC, Brasil P, Nordgren J, Svensson L, Miagostovich MP, de Moraes MTB, Leite JPG. Norovirus infection and HBGA host genetic susceptibility in a birth community-cohort, Rio de Janeiro, Brazil. INFECTION, GENETICS AND EVOLUTION : JOURNAL OF MOLECULAR EPIDEMIOLOGY AND EVOLUTIONARY GENETICS IN INFECTIOUS DISEASES 2020; 82:104280. [PMID: 32165242 DOI: 10.1016/j.meegid.2020.104280] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/26/2019] [Revised: 03/04/2020] [Accepted: 03/07/2020] [Indexed: 12/29/2022]
Abstract
Norovirus has emerged as an important viral agent of acute pediatric gastroenteritis, with a growing genetic diversity reported in the last decades. Histo-blood group antigens (HBGAs) present on the surface of enterocytes are susceptibility factors for norovirus infection and differ between populations which could affects the epidemiology and evolution of these viruses. This study investigated the frequency, incidence and genetic diversity of noroviruses in a cohort of rotavirus A vaccinated children in association to the host HBGA (Secretor/Lewis) genetic susceptibility profile. Norovirus genogroups I and II (GI/GII) were screened by RT-qPCR in 569 stool samples from 132 children followed-up from birth to 11 months of age during 2014--2018. Noroviruses were identified in 21.2% of children enrolled in this study, with a norovirus detection rate of 5.6% (32/569), in 17.1% and 4.7% of acute diarrheic episodes (ADE) and non-ADE, respectively. The norovirus incidence was 5.8 infections per 100 child-months. Partial nucleotide sequencing characterized six different norovirus genotypes, with GII.4 Sydney 2012 being detected in 50% associated with three different polymerase genotypes (GII·P31, GII·P16 and GII·P4 New Orleans 2009). FUT3 genotyping was yielded seven new mutations in this population. A significant association between symptomatic norovirus infection and secretor profile could be inferred.
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Affiliation(s)
- Carina Pacheco Cantelli
- Immunobiological Technology Institute/Bio-Manguinhos, Fiocruz, Avenida Brasil, 4365, Manguinhos, Rio de Janeiro, Brazil; Laboratory of Comparative and Environmental Virology, Oswaldo Cruz Institute, Fiocruz, Avenida Brasil, 4365, Manguinhos, Rio de Janeiro, Brazil.
| | - Tulio Machado Fumian
- Laboratory of Comparative and Environmental Virology, Oswaldo Cruz Institute, Fiocruz, Avenida Brasil, 4365, Manguinhos, Rio de Janeiro, Brazil
| | - Fábio Correia Malta
- Laboratory of Comparative and Environmental Virology, Oswaldo Cruz Institute, Fiocruz, Avenida Brasil, 4365, Manguinhos, Rio de Janeiro, Brazil
| | - Denise Cotrim da Cunha
- Sérgio Arouca Public Health National School, Fiocruz, Avenida Brasil, 4365, Manguinhos, Rio de Janeiro, Brazil
| | - Patricia Brasil
- Evandro Chagas National Institute of Infectious Diseases, Fiocruz, Avenida Brasil, 4365, Manguinhos, Rio de Janeiro, Brazil
| | - Johan Nordgren
- Division of Molecular Virology, Department of Clinical and Experimental Medicine, Linköping University, 581 85 Linköping, Sweden
| | - Lennart Svensson
- Division of Molecular Virology, Department of Clinical and Experimental Medicine, Linköping University, 581 85 Linköping, Sweden
| | - Marize Pereira Miagostovich
- Laboratory of Comparative and Environmental Virology, Oswaldo Cruz Institute, Fiocruz, Avenida Brasil, 4365, Manguinhos, Rio de Janeiro, Brazil
| | - Marcia Terezinha Baroni de Moraes
- Laboratory of Comparative and Environmental Virology, Oswaldo Cruz Institute, Fiocruz, Avenida Brasil, 4365, Manguinhos, Rio de Janeiro, Brazil
| | - José Paulo Gagliardi Leite
- Laboratory of Comparative and Environmental Virology, Oswaldo Cruz Institute, Fiocruz, Avenida Brasil, 4365, Manguinhos, Rio de Janeiro, Brazil
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McHugh MP, Guerendiain D, Hardie A, Kenicer J, MacKenzie L, Templeton KE. Detection of Norovirus by BD MAX™, Xpert ® Norovirus, and xTAG ® Gastrointestinal Pathogen Panel in stool and vomit samples. J Clin Virol 2018; 105:72-76. [PMID: 29908520 DOI: 10.1016/j.jcv.2018.06.005] [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: 02/23/2018] [Revised: 05/09/2018] [Accepted: 06/07/2018] [Indexed: 12/17/2022]
Abstract
BACKGROUND Norovirus is a leading cause of infectious gastroenteritis, characterized by outbreaks of diarrhoea and vomiting in closed settings. Nucleic acid amplification tests allow rapid and sensitive laboratory diagnosis of norovirus, with a number of commercial platforms now available. OBJECTIVES Evaluate the performance of the Becton Dickinson BD-MAX™System, Cepheid Xpert® Norovirus Assay, and Luminex xTAG® Gastrointestinal Pathogen Panel (GPP) for norovirus detection in stool. Assess the performance of the Xpert® Norovirus Assay and BD-MAX™ in vomit samples. STUDY DESIGN 163 diarrhoeal stool samples were tested on four diagnostic systems (laboratory-defined real time RT-PCR (assigned as gold standard), BD MAX™, Xpert® Norovirus Assay, and xTAG® GPP). A further 70 vomit samples were tested on the Xpert and BD MAX platforms. RESULTS In stool, sensitivity and specificity of the BD-MAX™ was 96.8% and 100%, for Xpert® Norovirus Assay was 91.9% and 100%, and for xTAG® GPP was 79.0% and 87.1%. In vomit samples positive and negative percent agreement was 95.6% and 92.0%, between the BD-MAX™ and Xpert® Norovirus. CONCLUSIONS The BD-MAX™ System with user defined settings and the Xpert® Norovirus Assay showed acceptable sensitivity and specificity for detection of norovirus from stool and vomit. The xTAG GPP assay was less reliable for norovirus detection but can detect a number of other clinically useful enteropathogens. Clinical laboratories must consider skill mix, budget, and sample throughput to determine the best fit for their service.
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Affiliation(s)
- Martin P McHugh
- Department of Molecular Microbiology, Royal Infirmary of Edinburgh, Edinburgh, UK
| | - Daniel Guerendiain
- Department of Molecular Microbiology, Royal Infirmary of Edinburgh, Edinburgh, UK
| | - Alison Hardie
- Department of Molecular Microbiology, Royal Infirmary of Edinburgh, Edinburgh, UK
| | - Juliet Kenicer
- Department of Molecular Microbiology, Royal Infirmary of Edinburgh, Edinburgh, UK
| | - Laura MacKenzie
- Department of Molecular Microbiology, Royal Infirmary of Edinburgh, Edinburgh, UK
| | - Kate E Templeton
- Department of Molecular Microbiology, Royal Infirmary of Edinburgh, Edinburgh, UK.
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