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Yu JR, Xie DJ, Li JH, Koroma MM, Wang L, Wang Y, Jing DN, Xu JY, Yu JX, Du HS, Zhou FY, Liang ZY, Zhang XF, Dai YC. Serological surveillance of GI norovirus reveals persistence of blockade antibody in a Jidong community-based prospective cohort, 2014-2018. Front Cell Infect Microbiol 2023; 13:1258550. [PMID: 38188632 PMCID: PMC10766831 DOI: 10.3389/fcimb.2023.1258550] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2023] [Accepted: 11/29/2023] [Indexed: 01/09/2024] Open
Abstract
Introduction Herd immunity against norovirus (NoV) is poorly understood in terms of its serological properties and vaccine designs. The precise neutralizing serological features of genotype I (GI) NoV have not been studied. Methods To expand insights on vaccine design and herd immunity of NoVs, seroprevalence and seroincidence of NoV genotypes GI.2, GI.3, and GI.9 were determined using blockade antibodies based on a 5-year longitudinal serosurveillance among 449 residents in Jidong community. Results Correlation between human histo-blood group antigens (HBGAs) and GI NoV, and dynamic and persistency of antibodies were also analyzed. Seroprevalence of GI.2, GI.3, and GI.9 NoV were 15.1%-18.0%, 35.0%-38.8%, and 17.6%-22.0%; seroincidences were 10.0, 21.0, and 11.0 per 100.0 person-year from 2014 to 2018, respectively. Blockade antibodies positive to GI.2 and GI.3 NoV were significantly associated with HBGA phenotypes, including blood types A, B (excluding GI.3), and O+; Lewis phenotypes Leb+/Ley+ and Lea+b+/Lex+y+; and secretors. The overall decay rate of anti-GI.2 antibody was -5.9%/year (95% CI: -7.1% to -4.8%/year), which was significantly faster than that of GI.3 [-3.6%/year (95% CI: -4.6% to -2.6%/year)] and GI.9 strains [-4.0%/year (95% CI: -4.7% to -3.3%/year)]. The duration of anti-GI.2, GI.3, and GI.9 NoV antibodies estimated by generalized linear model (GLM) was approximately 2.3, 4.2, and 4.8 years, respectively. Discussion In conclusion, enhanced community surveillance of GI NoV is needed, and even one-shot vaccine may provide coast-efficient health benefits against GI NoV infection.
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Affiliation(s)
- Jing-Rong Yu
- Department of Epidemiology, Guangdong Provincial Key Laboratory of Tropical Disease Research, School of Public Health, Southern Medical University, Guangzhou, China
- Department of Public Health, Shenzhen Qianhai Shekou Free Trade Zone Hospital, Shenzhen, China
| | - Dong-Jie Xie
- The Fifth Affiliated Hospital, Southern Medical University, Guangzhou, China
- School of Traditional Chinese Medicine, Southern Medical University, Guangzhou, China
| | - Jia-Heng Li
- Department of Epidemiology, Guangdong Provincial Key Laboratory of Tropical Disease Research, School of Public Health, Southern Medical University, Guangzhou, China
| | - Mark Momoh Koroma
- Department of Epidemiology, Guangdong Provincial Key Laboratory of Tropical Disease Research, School of Public Health, Southern Medical University, Guangzhou, China
| | - Lu Wang
- Department of Epidemiology, Guangdong Provincial Key Laboratory of Tropical Disease Research, School of Public Health, Southern Medical University, Guangzhou, China
| | - Yu Wang
- Department of Epidemiology, Guangdong Provincial Key Laboratory of Tropical Disease Research, School of Public Health, Southern Medical University, Guangzhou, China
| | - Duo-Na Jing
- Department of Epidemiology, Guangdong Provincial Key Laboratory of Tropical Disease Research, School of Public Health, Southern Medical University, Guangzhou, China
| | - Jia-Yi Xu
- Department of Epidemiology, Guangdong Provincial Key Laboratory of Tropical Disease Research, School of Public Health, Southern Medical University, Guangzhou, China
| | - Jun-Xuan Yu
- Department of Epidemiology, Guangdong Provincial Key Laboratory of Tropical Disease Research, School of Public Health, Southern Medical University, Guangzhou, China
| | - Hui-Sha Du
- Department of Epidemiology, Guangdong Provincial Key Laboratory of Tropical Disease Research, School of Public Health, Southern Medical University, Guangzhou, China
| | - Fei-Yuan Zhou
- Department of Epidemiology, Guangdong Provincial Key Laboratory of Tropical Disease Research, School of Public Health, Southern Medical University, Guangzhou, China
| | - Zhi-Yan Liang
- Department of Epidemiology, Guangdong Provincial Key Laboratory of Tropical Disease Research, School of Public Health, Southern Medical University, Guangzhou, China
| | - Xu-Fu Zhang
- The Fifth Affiliated Hospital, Southern Medical University, Guangzhou, China
- School of Traditional Chinese Medicine, Southern Medical University, Guangzhou, China
| | - Ying-Chun Dai
- Department of Epidemiology, Guangdong Provincial Key Laboratory of Tropical Disease Research, School of Public Health, Southern Medical University, Guangzhou, China
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Guo P, Yu Y, Pan Y, Yan S, Wang Y. Design and evaluation of nested PCR primers for specific detection of genogroup I noroviruses in oysters. Mol Cell Probes 2018; 40:40-43. [PMID: 29902509 DOI: 10.1016/j.mcp.2018.06.002] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2018] [Revised: 06/01/2018] [Accepted: 06/10/2018] [Indexed: 01/03/2023]
Abstract
A pair of nested PCR universal primers (NGIOF and NGIOR) specific for genogroup I (GI) noroviruses was designed based on all GI sequences available in public databases. The primers were evaluated for their specificity, sensitivity and coverage, which demonstrate their reliable performance upon detection of GI noroviruses in oysters.
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Affiliation(s)
- Ping Guo
- College of Food Science and Technology, Shanghai Ocean University, Shanghai, China
| | - Yongxin Yu
- College of Food Science and Technology, Shanghai Ocean University, Shanghai, China; Laboratory of Quality and Safety Risk Assessment for Aquatic Products on Storage and Preservation (Shanghai), Ministry of Agriculture, China
| | - Yingjie Pan
- College of Food Science and Technology, Shanghai Ocean University, Shanghai, China; Laboratory of Quality and Safety Risk Assessment for Aquatic Products on Storage and Preservation (Shanghai), Ministry of Agriculture, China
| | - Shuling Yan
- College of Food Science and Technology, Shanghai Ocean University, Shanghai, China; Institute of Biochemistry and Molecular Cell Biology, University of Göttingen, Göttingen, Germany
| | - Yongjie Wang
- College of Food Science and Technology, Shanghai Ocean University, Shanghai, China; Laboratory for Marine Biology and Biotechnology, Qingdao National Laboratory for Marine Science and Technology, Qingdao, China; Laboratory of Quality and Safety Risk Assessment for Aquatic Products on Storage and Preservation (Shanghai), Ministry of Agriculture, China.
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