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Yue Z, Shi X, Zhang H, Wu Z, Gao C, Wei B, Du C, Peng Y, Yang X, Lu J, Cheng Y, Zhou L, Zou X, Chen L, Li Y, Hu Q. The viral trends and genotype diversity of norovirus in the wastewater of Shenzhen, China. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 950:174884. [PMID: 39034007 DOI: 10.1016/j.scitotenv.2024.174884] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/18/2024] [Revised: 07/16/2024] [Accepted: 07/17/2024] [Indexed: 07/23/2024]
Abstract
Norovirus (NoV) is the primary cause of acute gastroenteritis (AGE) on a global scale. Numerous studies have demonstrated the immense potential of wastewater surveillance in monitoring the prevalence and spread of NoV within communities. This study employed a one-step reverse transcription-quantitative PCR to quantify NoV GI/GII in wastewater samples (n = 2574), which were collected once or twice a week from 38 wastewater treatment plants from March 2023 to February 2024 in Shenzhen. The concentrations of NoV GI and GII ranged from 5.0 × 104 to 1.7 × 106 copies/L and 4.1 × 105 to 4.5 × 106 copies/L, respectively. The concentrations of NoV GII were higher than those of NoV GI. Spearman's correlation analysis revealed a moderate correlation between the concentration of NoV in wastewater and the detection rates of NoV infections in sentinel hospitals. Baseline values were established for NoV concentrations in Shenzhen's wastewater, providing a crucial reference point for implementing early warning systems and nonpharmaceutical interventions to mitigate the impact of potential outbreaks. A total of 24 NoV genotypes were identified in 100 wastewater samples by sequencing. Nine genotypes of NoV GI were detected, with the major genotypes being GI.4 (38.6 %) and GI.3 (21.8 %); Fifteen genotypes of NoV GII were identified, with GII.4 (53.6 %) and GII.17 (26.0 %) being dominant. The trends in the relative abundance of NoV GI/GII were significantly different, and the trends in the relative abundance of NoV GII.4 over time were similar across all districts, suggesting a potential risk of cross-regional spread. Our findings underscore the effectiveness of wastewater surveillance in reflecting population-level NoV infections, capturing the diverse array of NoV genotypes, and utilizing NoV RNA in wastewater as a specific indicator to supplement clinical surveillance data, ultimately enhancing our ability to predict the timing and intensity of NoV epidemics.
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Affiliation(s)
- Zhijiao Yue
- Department of Public Health Laboratory Sciences, School of Public Health, Hengyang Medical School, University of South China, Hengyang, Hunan 421001, China; Shenzhen Center for Disease Control and Prevention, Shenzhen 518055, China
| | - Xiuyuan Shi
- Shenzhen Center for Disease Control and Prevention, Shenzhen 518055, China; Southern University of Science and Technology, Shenzhen 518055, China
| | - Hailong Zhang
- Shenzhen Center for Disease Control and Prevention, Shenzhen 518055, China
| | - Ziqi Wu
- Shenzhen Center for Disease Control and Prevention, Shenzhen 518055, China
| | - Chenxi Gao
- Shenzhen Center for Disease Control and Prevention, Shenzhen 518055, China; Shanxi Medical University, Taiyuan 030001, China
| | - Bincai Wei
- Shenzhen Center for Disease Control and Prevention, Shenzhen 518055, China; Southern University of Science and Technology, Shenzhen 518055, China
| | - Chen Du
- Shenzhen Center for Disease Control and Prevention, Shenzhen 518055, China
| | - Yuejing Peng
- Shenzhen Center for Disease Control and Prevention, Shenzhen 518055, China; BSL-3 Laboratory (Guangdong), Guangdong Provincial Key Laboratory of Tropical Disease Research, School of Public Health, Southern Medical University, Guangzhou 510515, China
| | - Xi Yang
- Department of Public Health Laboratory Sciences, School of Public Health, Hengyang Medical School, University of South China, Hengyang, Hunan 421001, China; Shenzhen Center for Disease Control and Prevention, Shenzhen 518055, China
| | - Jing Lu
- Guangdong Provincial Center for Disease Control and Prevention, Guangzhou 511430, China
| | - Yanpeng Cheng
- Shenzhen Center for Disease Control and Prevention, Shenzhen 518055, China
| | - Liping Zhou
- Peking University Shenzhen Hospital, Shenzhen 518036, China
| | - Xuan Zou
- Shenzhen Center for Disease Control and Prevention, Shenzhen 518055, China
| | - Lili Chen
- Department of Public Health Laboratory Sciences, School of Public Health, Hengyang Medical School, University of South China, Hengyang, Hunan 421001, China
| | - Yinghui Li
- Shenzhen Center for Disease Control and Prevention, Shenzhen 518055, China.
| | - Qinghua Hu
- Department of Public Health Laboratory Sciences, School of Public Health, Hengyang Medical School, University of South China, Hengyang, Hunan 421001, China; Shenzhen Center for Disease Control and Prevention, Shenzhen 518055, China.
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Wu C, Fu Z, Xie C, Zhao J, He F, Jiao B, Jiao B. Epidemiological Characteristics and Genotypic Features of Rotavirus and Norovirus in Jining City, 2021-2022. Viruses 2024; 16:925. [PMID: 38932216 PMCID: PMC11209223 DOI: 10.3390/v16060925] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2024] [Revised: 06/03/2024] [Accepted: 06/04/2024] [Indexed: 06/28/2024] Open
Abstract
Diarrhea, often caused by viruses like rotavirus (RV) and norovirus (NV), is a global health concern. This study focuses on RV and NV in Jining City from 2021 to 2022. Between 2021 and 2022, a total of 1052 diarrhea samples were collected. Real-Time Quantitative Fluorescent Reverse Transcriptase-PCR was used to detect RV-A, NV GI, and NV GII. For RV-A-positive samples, VP7 and VP4 genes were sequenced for genotype analysis, followed by the construction of evolutionary trees. Likewise, for NV-GII-positive samples, VP1 and RdRp genes were sequenced for genotypic analysis, and evolutionary trees were subsequently constructed. Between 2021 and 2022, Jining City showed varying detection ratios: RV-A alone (excluding co-infection of RV-A and NV GII) at 7.03%, NV GI at 0.10%, NV GII alone (excluding co-infection of RV-A and NV GII) at 5.42%, and co-infection of RV-A and NV GII at 1.14%. The highest RV-A ratios were shown in children ≤1 year and 2-5 years. Jining, Jinxiang County, and Liangshan County had notably high RV-A ratios at 24.37% (excluding co-infection of RV-A and NV GII) and 18.33% (excluding co-infection of RV-A and NV GII), respectively. Jining, Qufu, and Weishan had no RV-A positives. Weishan showed the highest NV GII ratios at 35.48% (excluding co-infection of RV-A and NV GII). Genotype analysis showed that, in 2021, G9P[8] and G2P[4] were dominant at 94.44% and 5.56%, respectively. In 2022, G8P[8], G9P[8], and G1P[8] were prominent at 75.86%, 13.79%, and 10.35%, respectively. In 2021, GII.3[P12], GII.4[P16], and GII.4[P31] constituted 71.42%, 14.29%, and 14.29%, respectively. In 2022, GII.3[P12] and GII.4[P16] accounted for 55.00% and 45.00%, respectively. RV-A and NV showed varying patterns for different time frames, age groups, and regions within Jining. Genotypic shifts were also observed in prevalent RV-A and NV GII strains in Jining City from 2021 to 2022. Ongoing monitoring of RV-A and NV is recommended for effective prevention and control.
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Affiliation(s)
- Changjing Wu
- Department of Laboratory, Jining Center for Disease Control and Prevention, Jining 272000, China; (C.W.); (C.X.); (J.Z.)
| | - Zhongyan Fu
- Department of Infectious Disease Control, Shandong Center for Disease Control and Prevention, Jinan 250001, China;
| | - Cuihua Xie
- Department of Laboratory, Jining Center for Disease Control and Prevention, Jining 272000, China; (C.W.); (C.X.); (J.Z.)
| | - Jian Zhao
- Department of Laboratory, Jining Center for Disease Control and Prevention, Jining 272000, China; (C.W.); (C.X.); (J.Z.)
| | - Feifei He
- Computer Information Technology, Northern Arizona University, Flagstaff, AZ 86011, USA;
| | - Boyan Jiao
- Department of Laboratory, Jining Center for Disease Control and Prevention, Jining 272000, China; (C.W.); (C.X.); (J.Z.)
| | - Baihai Jiao
- Department of Medicine, School of Medicine, University of Connecticut Health Center, Farmington, CT 06032, USA
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Shirai T, Phadungsombat J, Ushikai Y, Yoshikaie K, Shioda T, Sakon N. Epidemiological Features of Human Norovirus Genotypes before and after COVID-19 Countermeasures in Osaka, Japan. Viruses 2024; 16:654. [PMID: 38675994 PMCID: PMC11055107 DOI: 10.3390/v16040654] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2024] [Revised: 04/19/2024] [Accepted: 04/19/2024] [Indexed: 04/28/2024] Open
Abstract
We investigated the molecular epidemiology of human norovirus (HuNoV) in all age groups using samples from April 2019 to March 2023, before and after the COVID-19 countermeasures were implemented. GII.2[P16] and GII.4[P31], the prevalent strains in Japan before COVID-19 countermeasures, remained prevalent during the COVID-19 pandemic, except from April to November 2020; in 2021, the prevalence of GII.2[P16] increased among children. Furthermore, there was an increase in the prevalence of GII.4[P16] after December 2022. Phylogenetic analysis of GII.P31 RdRp showed that some strains detected in 2022 belonged to a different cluster of other strains obtained during the present study period, suggesting that HuNoV strains will evolve differently even if they have the same type of RdRp. An analysis of the amino acid sequence of VP1 showed that some antigenic sites of GII.4[P16] were different from those of GII.4[P31]. The present study showed high infectivity of HuNoV despite the COVID-19 countermeasures and revealed changes in the prevalent genotypes and mutations of each genotype. In the future, we will investigate whether GII.4[P16] becomes more prevalent, providing new insights by comparing the new data with those analyzed in the present study.
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Affiliation(s)
- Tatsuya Shirai
- Department of Microbiology, Osaka Institute of Public Health, Osaka 537-0025, Japan; (T.S.)
| | | | - Yumi Ushikai
- Department of Microbiology, Osaka Institute of Public Health, Osaka 537-0025, Japan; (T.S.)
| | - Kunihito Yoshikaie
- Department of Microbiology, Osaka Institute of Public Health, Osaka 537-0025, Japan; (T.S.)
| | - Tatsuo Shioda
- Research Institute for Microbial Diseases, Osaka University, Osaka 565-0871, Japan;
| | - Naomi Sakon
- Department of Microbiology, Osaka Institute of Public Health, Osaka 537-0025, Japan; (T.S.)
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Sarmento SK, de Andrade JDSR, Malta FC, Fialho AM, Mello MDS, Burlandy FM, Fumian TM. Norovirus Epidemiology and Genotype Circulation during the COVID-19 Pandemic in Brazil, 2019-2022. Pathogens 2023; 13:3. [PMID: 38276149 PMCID: PMC10818385 DOI: 10.3390/pathogens13010003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2023] [Revised: 12/07/2023] [Accepted: 12/11/2023] [Indexed: 01/27/2024] Open
Abstract
Norovirus stands out as a leading cause of acute gastroenteritis (AGE) worldwide, affecting all age groups. In the present study, we investigated fecal samples from medically attended AGE patients received from nine Brazilian states, from 2019 to 2022, including the COVID-19 pandemic period. Norovirus GI and GII were detected and quantified using RT-qPCR, and norovirus-positive samples underwent genotyping through sequencing the ORF1/2 junction region. During the four-year period, norovirus prevalence was 37.2%, varying from 20.1% in 2020 to 55.4% in 2021. GII genotypes dominated, being detected in 92.9% of samples. GII-infected patients had significantly higher viral concentrations compared to GI-infected patients (median of 3.8 × 107 GC/g and 6.7 × 105 GC/g, respectively); and patients aged >12-24 months showed a higher median viral load (8 × 107 GC/g) compared to other age groups. Norovirus sequencing revealed 20 genotypes by phylogenetic analysis of RdRp and VP1 partial regions. GII.4 Sydney[P16] was the dominant genotype (57.3%), especially in 2019 and 2021, followed by GII.2[P16] (14.8%) and GII.6[P7] (6.3%). The intergenogroup recombinant genotype, GIX.1[GII.P15], was detected in five samples. Our study is the first to explore norovirus epidemiology and genotype distribution in Brazil during COVID-19, and contributes to understanding the epidemiological dynamics of norovirus and highlighting the importance of continuing to follow norovirus surveillance programs in Brazil.
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Affiliation(s)
| | | | | | | | | | | | - Tulio Machado Fumian
- Laboratory of Comparative and Environmental Virology, Oswaldo Cruz Institute, Oswaldo Cruz Foundation, Rio de Janeiro 21045-900, RJ, Brazil (F.M.B.)
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