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      Longitudinal study of humoral immunity against SARS-CoV-2 of health professionals in Brazil: the impact of booster dose and reinfection on antibody dynamics

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          Abstract

          Introduction

          The pandemic caused by SARS-CoV-2 has had a major impact on health systems. Vaccines have been shown to be effective in improving the clinical outcome of COVID-19, but they are not able to fully prevent infection and reinfection, especially that caused by new variants.

          Methods

          Here, we tracked for 450 days the humoral immune response and reinfection in 52 healthcare workers from Brazil. Infection and reinfection were confirmed by RT-qPCR, while IgM and IgG antibody levels were monitored by rapid test.

          Results

          Of the 52 participants, 19 (36%) got reinfected during the follow-up period, all presenting mild symptoms. For all participants, IgM levels dropped sharply, with over 47% of them becoming seronegative by the 60th day. For IgG, 90% of the participants became seropositive within the first 30 days of follow-up. IgG antibodies also dropped after this period reaching the lowest level on day 270 (68.5 ± 72.3, p<0.0001). Booster dose and reinfection increased the levels of both antibodies, with the interaction between them resulting in an increase in IgG levels of 130.3 arbitrary units.

          Conclusions

          Overall, our data indicate that acquired humoral immunity declines over time and suggests that IgM and IgG antibody levels are not associated with the prevention of reinfection.

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          Most cited references88

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          Trimmomatic: a flexible trimmer for Illumina sequence data

          Motivation: Although many next-generation sequencing (NGS) read preprocessing tools already existed, we could not find any tool or combination of tools that met our requirements in terms of flexibility, correct handling of paired-end data and high performance. We have developed Trimmomatic as a more flexible and efficient preprocessing tool, which could correctly handle paired-end data. Results: The value of NGS read preprocessing is demonstrated for both reference-based and reference-free tasks. Trimmomatic is shown to produce output that is at least competitive with, and in many cases superior to, that produced by other tools, in all scenarios tested. Availability and implementation: Trimmomatic is licensed under GPL V3. It is cross-platform (Java 1.5+ required) and available at http://www.usadellab.org/cms/index.php?page=trimmomatic Contact: usadel@bio1.rwth-aachen.de Supplementary information: Supplementary data are available at Bioinformatics online.
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            Detection of 2019 novel coronavirus (2019-nCoV) by real-time RT-PCR

            Background The ongoing outbreak of the recently emerged novel coronavirus (2019-nCoV) poses a challenge for public health laboratories as virus isolates are unavailable while there is growing evidence that the outbreak is more widespread than initially thought, and international spread through travellers does already occur. Aim We aimed to develop and deploy robust diagnostic methodology for use in public health laboratory settings without having virus material available. Methods Here we present a validated diagnostic workflow for 2019-nCoV, its design relying on close genetic relatedness of 2019-nCoV with SARS coronavirus, making use of synthetic nucleic acid technology. Results The workflow reliably detects 2019-nCoV, and further discriminates 2019-nCoV from SARS-CoV. Through coordination between academic and public laboratories, we confirmed assay exclusivity based on 297 original clinical specimens containing a full spectrum of human respiratory viruses. Control material is made available through European Virus Archive – Global (EVAg), a European Union infrastructure project. Conclusion The present study demonstrates the enormous response capacity achieved through coordination of academic and public laboratories in national and European research networks.
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              Longitudinal data analysis using generalized linear models

                Author and article information

                Contributors
                URI : https://loop.frontiersin.org/people/504530
                URI : https://loop.frontiersin.org/people/32213
                URI : https://loop.frontiersin.org/people/2095611
                URI : https://loop.frontiersin.org/people/155134
                URI : https://loop.frontiersin.org/people/1019440
                URI : https://loop.frontiersin.org/people/537308
                URI : https://loop.frontiersin.org/people/165892
                Journal
                Front Immunol
                Front Immunol
                Front. Immunol.
                Frontiers in Immunology
                Frontiers Media S.A.
                1664-3224
                14 July 2023
                2023
                14 July 2023
                : 14
                : 1220600
                Affiliations
                [1] 1 Grupo de Pesquisa em Biologia e Imunologia de Doenças Infecciosas e Parasitárias, Instituto René Rachou, Fundação Oswaldo Cruz , Belo Horizonte, Minas Gerais, Brazil
                [2] 2 Grupo de Imunologia de Doenças Virais, Instituto René Rachou, Fundação Oswaldo Cruz , Belo Horizonte, Minas Gerais, Brazil
                [3] 3 Faculdade de Medicina, Universidade Federal de Minas Gerais , Belo Horizonte, Minas Gerais, Brazil
                [4] 4 Grupo de Pesquisa em Informática de Biossistemas, Instituto René Rachou, Fundação Oswaldo Cruz , Belo Horizonte, Minas Gerais, Brazil
                [5] 5 Núcleo de Estudos em Saúde Pública e Envelhecimento, Instituto René Rachou, Fundação Oswaldo Cruz , Belo Horizonte, Minas Gerais, Brazil
                [6] 6 Serviço de capacitação em métodos quantitativos -SAMeQ, Instituto René Rachou, Fundação Oswaldo Cruz , Belo Horizonte, Minas Gerais, Brazil
                [7] 7 Grupo de Pesquisa em Helmintologia e Malacologia Médica, Instituto René Rachou, Fundação Oswaldo Cruz , Belo Horizonte, Minas Gerais, Brazil
                [8] 8 Centro de Vigilância em Saúde e Segurança do Paciente, Hospital Metropolitano Doutor Célio de Castro , Belo Horizonte, Minas Gerais, Brazil
                [9] 9 Serviço Especializado em Segurança e Medicina do Trabalho, Hospital Metropolitano Doutor Célio de Castro , Belo Horizonte, Minas Gerais, Brazil
                Author notes

                Edited by: William Dowling, Coalition for Epidemic Preparedness Innovations (CEPI), Norway

                Reviewed by: Henning Jacobsen, Helmholtz Centre for Infection Research, Germany; Diego Cantoni, MRC-University of Glasgow Centre For Virus Research (MRC), United Kingdom

                *Correspondence: Cristina Toscano Fonseca, cristina.toscano@ 123456fiocruz.br
                Article
                10.3389/fimmu.2023.1220600
                10376701
                37520570
                449093c8-63c6-4ddc-98d0-e197597660ea
                Copyright © 2023 Franco-Luiz, Fernandes, Silva, Bernardes, Westin, Santos, Fernandes, Simões, Silva, Gava, Alves, de Carvalho Melo, da Silva-Pereira, Alves and Fonseca

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 10 May 2023
                : 26 June 2023
                Page count
                Figures: 7, Tables: 6, Equations: 0, References: 90, Pages: 18, Words: 9163
                Funding
                Funded by: Fundação de Amparo à Pesquisa do Estado de Minas Gerais , doi 10.13039/501100004901;
                Funded by: Fundação Oswaldo Cruz , doi 10.13039/501100006507;
                Funded by: Conselho Nacional de Desenvolvimento Científico e Tecnológico , doi 10.13039/501100003593;
                This research was funded by the Fundação de Amparo à Pesquisa do Estado de Minas Gerais (FAPEMIG) (Grant number: APQ-00635-20) and the Fundação Oswaldo Cruz – Inova Program (Grant number: VPPCB-005-FIO-20-2-24) and CNPq (Fellowship Grant number: CTF- 306188/2022-8).
                Categories
                Immunology
                Original Research
                Custom metadata
                Viral Immunology

                Immunology
                antibody,covid-19,healthcare workers,humoral immunity,reinfection,sars-cov-2
                Immunology
                antibody, covid-19, healthcare workers, humoral immunity, reinfection, sars-cov-2

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