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Miyakawa K, Kato H, Ohtake N, Jeremiah SS, Ryo A. Enhancement of Humoral and Cellular Immunity Against Severe Acute Respiratory Syndrome Coronavirus 2 by a Third Dose of BNT162b2 Vaccine in Japanese Healthcare Workers. J Infect Dis 2023; 227:221-225. [PMID: 35978486 DOI: 10.1093/infdis/jiac344] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2022] [Revised: 08/10/2022] [Accepted: 08/17/2022] [Indexed: 01/14/2023] Open
Abstract
The Omicron variant of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has raised concerns regarding vaccine effectiveness. We investigated humoral and cellular immune responses against SARS-CoV-2 in healthcare workers before and after a third (booster) dose of the BNT162b2 messenger RNA vaccine. It significantly enhanced both humoral and cellular immunity in previously uninfected individuals. However, cellular immunity was not enhanced in previously infected persons, suggesting that 3 antigenic stimuli by vaccination or natural infection reached a plateau of cellular immunity. Even with reinforced immunity to SARS-CoV-2, we confirmed several postbooster breakthrough cases caused by the Omicron variant.
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Affiliation(s)
- Kei Miyakawa
- Department of Microbiology, Yokohama City University School of Medicine, Kanagawa, Japan
| | - Hideaki Kato
- Infection Prevention and Control Department, Yokohama City University Hospital, Kanagawa, Japan
| | - Norihisa Ohtake
- Advanced Medical Research Center, Yokohama City University, Kanagawa, Japan.,Bioscience Division, Research and Development Department, Tosoh Corporation, Tokyo Research Center, Kanagawa, Japan
| | | | - Akihide Ryo
- Department of Microbiology, Yokohama City University School of Medicine, Kanagawa, Japan
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Goto A, Miyakawa K, Nakayama I, Yagome S, Xu J, Kaneko M, Ohtake N, Kato H, Ryo A. Prediction models for neutralization activity against emerging SARS-CoV-2 variants: A cross-sectional study. Front Microbiol 2023; 14:1126527. [PMID: 37113226 PMCID: PMC10126441 DOI: 10.3389/fmicb.2023.1126527] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2022] [Accepted: 03/13/2023] [Indexed: 04/29/2023] Open
Abstract
Objective Despite extensive vaccination campaigns to combat the coronavirus disease (COVID-19) pandemic, variants of concern, particularly the Omicron variant (B.1.1.529 or BA.1), may escape the antibodies elicited by vaccination against SARS-CoV-2. Therefore, this study aimed to evaluate 50% neutralizing activity (NT50) against SARS-CoV-2 D614G, Delta, Omicron BA.1, and Omicron BA.2 and to develop prediction models to predict the risk of infection in a general population in Japan. Methods We used a random 10% of samples from 1,277 participants in a population-based cross-sectional survey conducted in January and February 2022 in Yokohama City, the most populous municipality in Japan. We measured NT50 against D614G as a reference and three variants (Delta, Omicron BA.1, and BA.2) and immunoglobulin G against SARS-CoV-2 spike protein (SP-IgG). Results Among 123 participants aged 20-74, 93% had received two doses of SARS-CoV-2 vaccine. The geometric means (95% confidence intervals) of NT50 were 65.5 (51.8-82.8) for D614G, 34.3 (27.1-43.4) for Delta, 14.9 (12.2-18.0) for Omicron BA.1, and 12.9 (11.3-14.7) for Omicron BA.2. The prediction model with SP-IgG titers for Omicron BA.1 performed better than the model for Omicron BA.2 (bias-corrected R 2 with bootstrapping: 0.721 vs. 0.588). The models also performed better for BA.1 than for BA.2 (R 2 = 0.850 vs. 0.150) in a validation study with 20 independent samples. Conclusion In a general Japanese population with 93% of the population vaccinated with two doses of SARS-CoV-2 vaccine, neutralizing activity against Omicron BA.1 and BA.2 were substantially lower than those against D614G or the Delta variant. The prediction models for Omicron BA.1 and BA.2 showed moderate predictive ability and the model for BA.1 performed well in validation data.
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Affiliation(s)
- Atsushi Goto
- Department of Public Health, School of Medicine, Yokohama City University, Yokohama, Japan
- Department of Health Data Science, Graduate School of Data Science, Yokohama City University, Yokohama, Japan
- *Correspondence: Atsushi Goto,
| | - Kei Miyakawa
- Department of Microbiology, Graduate School of Medicine, Yokohama City University, Yokohama, Japan
- Center for Influenza and Respiratory Virus Research, National Institute of Infectious Diseases, Musashimurayama, Japan
| | - Izumi Nakayama
- Department of Public Health, School of Medicine, Yokohama City University, Yokohama, Japan
| | - Susumu Yagome
- Department of Health Data Science, Graduate School of Data Science, Yokohama City University, Yokohama, Japan
- Integrity Healthcare Co., Ltd., Tokyo, Japan
| | - Juan Xu
- Department of Endocrinology and Metabolism, Graduate School of Medicine, Yokohama City University, Yokohama, Japan
| | - Makoto Kaneko
- Department of Health Data Science, Graduate School of Data Science, Yokohama City University, Yokohama, Japan
| | - Norihisa Ohtake
- Bioscience Division, Research and Development Department, Tosoh Corporation, Tokyo Research Center, Ayase, Japan
| | - Hideaki Kato
- Infection Prevention and Control Department, Yokohama City University Hospital, Yokohama, Japan
| | - Akihide Ryo
- Department of Microbiology, Graduate School of Medicine, Yokohama City University, Yokohama, Japan
- Department of Virology III, National Institute of Infectious Diseases, Musashimurayama, Japan
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Koyama T, Miyakawa K, Tokumasu R, S Jeremiah S, Kudo M, Ryo A. Evasion of vaccine-induced humoral immunity by emerging sub-variants of SARS-CoV-2. Future Microbiol 2022; 17:417-424. [PMID: 35350884 PMCID: PMC8966691 DOI: 10.2217/fmb-2022-0025] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2022] [Accepted: 03/08/2022] [Indexed: 12/18/2022] Open
Abstract
Background: Emergence of vaccine-escaping SARS-CoV-2 variants is a serious problem for global public health. The currently rampant Omicron has been shown to possess remarkable vaccine escape; however, the selection pressure exerted by vaccines might pave the way for other escape mutants in the near future. Materials & methods: For detection of neutralizing antibodies, the authors used the recently developed HiBiT-based virus-like particle neutralization test system. Sera after vaccination (two doses of Pfizer/BioNTech mRNA vaccine) were used to evaluate the neutralizing activity against various strains of SARS-CoV-2. Results: Beta+R346K, which was identified in the Philippines in August 2021, exhibited the highest vaccine resistance among the tested mutants. Surprisingly, Mu+K417N mutant exhibited almost no decrease in neutralization. Imdevimab retained efficacy against these strains. Conclusions: Mutations outside the receptor-binding domain contributed to vaccine escape. Both genomic surveillance and phenotypic analysis synergistically accelerate identifications of vaccine-escaping strains.
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Affiliation(s)
- Takahiko Koyama
- IBM Thomas J. Watson Research Center, Yorktown Heights, NY 10583, USA
| | - Kei Miyakawa
- Department of Microbiology, Yokohama City University, Yokohama, Kanagawa, Japan
| | | | | | | | - Akihide Ryo
- Department of Microbiology, Yokohama City University, Yokohama, Kanagawa, Japan
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