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Metabolic syndrome and the immunogenicity of Pfizer–BioNTech vaccine: a cross-sectional study in Japanese healthcare workers
BACKGROUND: The clustering of metabolic abnormalities may weaken vaccine-induced immunity, but epidemiological data regarding SARS-CoV-2 vaccines are scarce. The present study aimed to examine the cross-sectional association between metabolic syndrome (MetS) and humoral immune response to Pfizer–Bio...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9556286/ https://www.ncbi.nlm.nih.gov/pubmed/36229890 http://dx.doi.org/10.1186/s13098-022-00918-6 |
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author | Van Hoang, Dong Yamamoto, Shohei Fukunaga, Ami Inoue, Yosuke Mizoue, Tetsuya Ohmagari, Norio |
author_facet | Van Hoang, Dong Yamamoto, Shohei Fukunaga, Ami Inoue, Yosuke Mizoue, Tetsuya Ohmagari, Norio |
author_sort | Van Hoang, Dong |
collection | PubMed |
description | BACKGROUND: The clustering of metabolic abnormalities may weaken vaccine-induced immunity, but epidemiological data regarding SARS-CoV-2 vaccines are scarce. The present study aimed to examine the cross-sectional association between metabolic syndrome (MetS) and humoral immune response to Pfizer–BioNTech vaccine among the staff of a research center for medical care in Japan. METHODS: Participants were the staff (aged 21–75 years) of the National Center of Global Health and Medicine who had completed the second dose of Pfizer–BioNTech vaccine 1–3 months before the survey. MetS was defined according to the Joint Interim Statement. SARS-CoV-2 spike immunoglobulin G (IgG) antibody was measured using quantitative assays. Multivariable linear regression was used to estimate the geometric mean titers (GMT) and geometric mean ratio (GMR) of IgG titers, relative to MetS status. RESULTS: Of 946 participants who received the second vaccine dose, 51 (5.4%) had MetS. Those with MetS had a significantly lower IgG titer (GMT 4125; 95% confidence interval [CI], 2885–5896) than those without MetS (GMT 5348; 95% CI, 3914–7309); the GMR was 0.77 (95% CI 0.64–0.93). Taking those having no MetS component as reference, fully adjusted GMR (95% CI) for those having 1, 2, 3 or ≥ 4 components was 1.00 (0.90, 1.11), 0.89 (0.77, 1.04), 0.86 (0.68, 1.10) and 0.61 (0.45, 0.82), respectively (P trend = 0.024). CONCLUSION: Results suggest that having MetS and a greater number of its components are associated with a weaker humoral immune response to the Pfizer–BioNTech vaccine. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13098-022-00918-6. |
format | Online Article Text |
id | pubmed-9556286 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-95562862022-10-13 Metabolic syndrome and the immunogenicity of Pfizer–BioNTech vaccine: a cross-sectional study in Japanese healthcare workers Van Hoang, Dong Yamamoto, Shohei Fukunaga, Ami Inoue, Yosuke Mizoue, Tetsuya Ohmagari, Norio Diabetol Metab Syndr Research BACKGROUND: The clustering of metabolic abnormalities may weaken vaccine-induced immunity, but epidemiological data regarding SARS-CoV-2 vaccines are scarce. The present study aimed to examine the cross-sectional association between metabolic syndrome (MetS) and humoral immune response to Pfizer–BioNTech vaccine among the staff of a research center for medical care in Japan. METHODS: Participants were the staff (aged 21–75 years) of the National Center of Global Health and Medicine who had completed the second dose of Pfizer–BioNTech vaccine 1–3 months before the survey. MetS was defined according to the Joint Interim Statement. SARS-CoV-2 spike immunoglobulin G (IgG) antibody was measured using quantitative assays. Multivariable linear regression was used to estimate the geometric mean titers (GMT) and geometric mean ratio (GMR) of IgG titers, relative to MetS status. RESULTS: Of 946 participants who received the second vaccine dose, 51 (5.4%) had MetS. Those with MetS had a significantly lower IgG titer (GMT 4125; 95% confidence interval [CI], 2885–5896) than those without MetS (GMT 5348; 95% CI, 3914–7309); the GMR was 0.77 (95% CI 0.64–0.93). Taking those having no MetS component as reference, fully adjusted GMR (95% CI) for those having 1, 2, 3 or ≥ 4 components was 1.00 (0.90, 1.11), 0.89 (0.77, 1.04), 0.86 (0.68, 1.10) and 0.61 (0.45, 0.82), respectively (P trend = 0.024). CONCLUSION: Results suggest that having MetS and a greater number of its components are associated with a weaker humoral immune response to the Pfizer–BioNTech vaccine. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13098-022-00918-6. BioMed Central 2022-10-13 /pmc/articles/PMC9556286/ /pubmed/36229890 http://dx.doi.org/10.1186/s13098-022-00918-6 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Van Hoang, Dong Yamamoto, Shohei Fukunaga, Ami Inoue, Yosuke Mizoue, Tetsuya Ohmagari, Norio Metabolic syndrome and the immunogenicity of Pfizer–BioNTech vaccine: a cross-sectional study in Japanese healthcare workers |
title | Metabolic syndrome and the immunogenicity of Pfizer–BioNTech vaccine: a cross-sectional study in Japanese healthcare workers |
title_full | Metabolic syndrome and the immunogenicity of Pfizer–BioNTech vaccine: a cross-sectional study in Japanese healthcare workers |
title_fullStr | Metabolic syndrome and the immunogenicity of Pfizer–BioNTech vaccine: a cross-sectional study in Japanese healthcare workers |
title_full_unstemmed | Metabolic syndrome and the immunogenicity of Pfizer–BioNTech vaccine: a cross-sectional study in Japanese healthcare workers |
title_short | Metabolic syndrome and the immunogenicity of Pfizer–BioNTech vaccine: a cross-sectional study in Japanese healthcare workers |
title_sort | metabolic syndrome and the immunogenicity of pfizer–biontech vaccine: a cross-sectional study in japanese healthcare workers |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9556286/ https://www.ncbi.nlm.nih.gov/pubmed/36229890 http://dx.doi.org/10.1186/s13098-022-00918-6 |
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