1
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Yaugel-Novoa M, Noailly B, Jospin F, Pizzorno A, Traversier A, Pozzetto B, Waeckel L, Longet S, Pillet S, Botelho-Nevers E, Rosa-Calatrava M, Bourlet T, Paul S. Impaired mucosal IgA response in patients with severe COVID-19. Emerg Microbes Infect 2024; 13:2401940. [PMID: 39358866 PMCID: PMC11451292 DOI: 10.1080/22221751.2024.2401940] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2024] [Revised: 08/31/2024] [Accepted: 09/04/2024] [Indexed: 10/04/2024]
Abstract
Several studies have investigated the antibody response to SARS-CoV-2, focusing particularly on the systemic humoral immune response and the production of immunoglobulin G (IgG) antibodies. IgA antibodies play a crucial role in protecting against respiratory viral infections but have also been associated with the pathophysiology of COVID-19. We performed a prospective study of 169 COVID-19 patients - 50 with critical/severe (ICU), 47 with moderate (Non-ICU), and 72 with asymptomatic COVID-19 - to explore the humoral immune response to SARS-CoV-2 infection. We found that the early systemic IgA response strongly induced in patients with severe disease did not block IgG neutralization functions and activated FcRs more effectively than IgG. However, even if SIgA levels were high, mucosal IgA antibodies could not control the infection effectively in patients with severe disease. Our findings highlight the complexity of the immune response to SARS-CoV-2 exhibiting high systemic levels of IgA with strong neutralizing capacity in severe cases, together with higher levels of IgA-FcR activation than in asymptomatic patients. They also suggest the need for further research to fully understand the role of IgA and its structural alterations in mucosal tissues in cases of severe disease and the impact of these antibodies on disease progression.
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Affiliation(s)
- Melyssa Yaugel-Novoa
- Team GIMAP, Univ Lyon, Université Claude Bernard Lyon 1, Inserm, U1111, CNRS, UMR530, CIC 1408 Vaccinology, CIRI – Centre International de Recherche en Infectiologie, Saint-Etienne, France
| | - Blandine Noailly
- Team GIMAP, Univ Lyon, Université Claude Bernard Lyon 1, Inserm, U1111, CNRS, UMR530, CIC 1408 Vaccinology, CIRI – Centre International de Recherche en Infectiologie, Saint-Etienne, France
| | - Fabienne Jospin
- Team GIMAP, Univ Lyon, Université Claude Bernard Lyon 1, Inserm, U1111, CNRS, UMR530, CIC 1408 Vaccinology, CIRI – Centre International de Recherche en Infectiologie, Saint-Etienne, France
| | - Andrés Pizzorno
- Team VirPath, Université de Lyon, INSERM U1111, Université Claude Bernard Lyon 1, CNRS, UMR5308, ENS de Lyon, CIRI - Centre International de Recherche en Infectiologie, Lyon, France
- VirNext, Faculté de Médecine RTH Laennec, Université Claude Bernard Lyon 1, Université de Lyon, Lyon, France
| | - Aurélien Traversier
- Team VirPath, Université de Lyon, INSERM U1111, Université Claude Bernard Lyon 1, CNRS, UMR5308, ENS de Lyon, CIRI - Centre International de Recherche en Infectiologie, Lyon, France
- VirNext, Faculté de Médecine RTH Laennec, Université Claude Bernard Lyon 1, Université de Lyon, Lyon, France
| | - Bruno Pozzetto
- Team GIMAP, Univ Lyon, Université Claude Bernard Lyon 1, Inserm, U1111, CNRS, UMR530, CIC 1408 Vaccinology, CIRI – Centre International de Recherche en Infectiologie, Saint-Etienne, France
- Infectious Agents and Hygiene Department, University Hospital of Saint-Etienne, Saint-Etienne, France
| | - Louis Waeckel
- Team GIMAP, Univ Lyon, Université Claude Bernard Lyon 1, Inserm, U1111, CNRS, UMR530, CIC 1408 Vaccinology, CIRI – Centre International de Recherche en Infectiologie, Saint-Etienne, France
- Immunology Department, University Hospital of Saint-Etienne, Saint-Etienne, France
| | - Stéphanie Longet
- Team GIMAP, Univ Lyon, Université Claude Bernard Lyon 1, Inserm, U1111, CNRS, UMR530, CIC 1408 Vaccinology, CIRI – Centre International de Recherche en Infectiologie, Saint-Etienne, France
| | - Sylvie Pillet
- Team GIMAP, Univ Lyon, Université Claude Bernard Lyon 1, Inserm, U1111, CNRS, UMR530, CIC 1408 Vaccinology, CIRI – Centre International de Recherche en Infectiologie, Saint-Etienne, France
- Infectious Agents and Hygiene Department, University Hospital of Saint-Etienne, Saint-Etienne, France
| | - Elisabeth Botelho-Nevers
- Team GIMAP, Univ Lyon, Université Claude Bernard Lyon 1, Inserm, U1111, CNRS, UMR530, CIC 1408 Vaccinology, CIRI – Centre International de Recherche en Infectiologie, Saint-Etienne, France
- Infectious Diseases Department, University Hospital of Saint-Etienne, Saint-Etienne, France
- CIC 1408 Inserm Vaccinology, University Hospital of Saint-Etienne, Saint-Etienne, France
| | - Manuel Rosa-Calatrava
- Team VirPath, Université de Lyon, INSERM U1111, Université Claude Bernard Lyon 1, CNRS, UMR5308, ENS de Lyon, CIRI - Centre International de Recherche en Infectiologie, Lyon, France
- VirNext, Faculté de Médecine RTH Laennec, Université Claude Bernard Lyon 1, Université de Lyon, Lyon, France
| | - Thomas Bourlet
- Team GIMAP, Univ Lyon, Université Claude Bernard Lyon 1, Inserm, U1111, CNRS, UMR530, CIC 1408 Vaccinology, CIRI – Centre International de Recherche en Infectiologie, Saint-Etienne, France
- Infectious Agents and Hygiene Department, University Hospital of Saint-Etienne, Saint-Etienne, France
| | - Stéphane Paul
- Team GIMAP, Univ Lyon, Université Claude Bernard Lyon 1, Inserm, U1111, CNRS, UMR530, CIC 1408 Vaccinology, CIRI – Centre International de Recherche en Infectiologie, Saint-Etienne, France
- Immunology Department, University Hospital of Saint-Etienne, Saint-Etienne, France
- CIC 1408 Inserm Vaccinology, University Hospital of Saint-Etienne, Saint-Etienne, France
- Lead contact
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2
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Smith CP, Hartman RM, Kugler AM, Little V, Baker OR, Fairlie TA, Fernandez RE, Hagen MB, Honie E, Laeyendecker O, Midgley CM, Parker D, Sandoval M, Takahashi S, Hammitt LL, Sutcliffe CG. The Trajectory of Antibody Responses One Year Following SARS-CoV-2 Infection among Indigenous Individuals in the Southwest United States. Viruses 2024; 16:1573. [PMID: 39459907 PMCID: PMC11512241 DOI: 10.3390/v16101573] [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: 08/09/2024] [Revised: 09/29/2024] [Accepted: 09/30/2024] [Indexed: 10/28/2024] Open
Abstract
SARS-CoV-2 antibody kinetics based on immunologic history is not fully understood. We analyzed anti-spike and anti-nucleocapsid antibody responses following acute infection in a cohort of Indigenous persons. The models of peak concentrations and decay rates estimated that one year after infection, participants would serorevert for anti-nucleocapsid antibodies and remain seropositive for anti-spike antibodies. The peak anti-spike concentrations were higher for individuals vaccinated prior to infection, but the decay rates were similar across immunologic status groups. Children had significantly lower peak anti-spike concentrations than adults. This study affirms the importance of continued vaccination to maintain high levels of immunity in the face of waning immunity.
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Affiliation(s)
- Claire P. Smith
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205, USA
| | - Rachel M. Hartman
- Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205, USA
| | - Alexa M. Kugler
- Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205, USA
| | - Verlena Little
- Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205, USA
| | - Owen R. Baker
- Department of Medicine, Division of Infectious Diseases, Johns Hopkins School of Medicine, Baltimore, MD 21205, USA
| | - Tarayn A. Fairlie
- Division of Coronaviruses and Other Respiratory Viruses, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, GA 30333, USA
| | - Reinaldo E. Fernandez
- Department of Medicine, Division of Infectious Diseases, Johns Hopkins School of Medicine, Baltimore, MD 21205, USA
| | - Melissa B. Hagen
- Division of Coronaviruses and Other Respiratory Viruses, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, GA 30333, USA
| | - Elvira Honie
- Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205, USA
| | - Oliver Laeyendecker
- Division of Intramural Research, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD 20892, USA
| | - Claire M. Midgley
- Division of Coronaviruses and Other Respiratory Viruses, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, GA 30333, USA
| | - Dennie Parker
- Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205, USA
| | - Marqia Sandoval
- Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205, USA
| | - Saki Takahashi
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205, USA
| | - Laura L. Hammitt
- Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205, USA
| | - Catherine G. Sutcliffe
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205, USA
- Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205, USA
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3
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Verheul MK, Kaczorowska J, Hofstee MI, Schepp RM, Smits GP, Wessels Beljaars D, Kuijer M, Schuin W, Middelhof I, Wong D, van Hagen CCE, Vos ERA, Nicolaie MA, de Melker HE, van Binnendijk RS, van der Klis FRM, den Hartog G. Protective mucosal SARS-CoV-2 antibodies in the majority of the general population in the Netherlands. Mucosal Immunol 2024; 17:554-564. [PMID: 38553008 DOI: 10.1016/j.mucimm.2024.03.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2023] [Revised: 03/08/2024] [Accepted: 03/21/2024] [Indexed: 04/13/2024]
Abstract
Antibodies to SARS-CoV-2 on the mucosal surfaces of the respiratory tract are understood to contribute to protection against SARS-CoV-2 infection. We aimed to describe the prevalence, levels, and functionality of mucosal antibodies in the general Dutch population. Nasal samples were collected from 778 randomly selected participants, 1-90 years of age, nested within the nationwide prospective SARS-CoV-2 PIENTER corona serosurvey in the Netherlands. Spike-specific immunoglobulin (Ig)G was detected in the nasal samples of 94.6% (in case of the wild-type S1 variant) and 94.9% (Omicron BA.1) of the individuals, whereas 44.2% and 62.7% of the individuals were positive for wild-type and Omicron BA.1 S1 IgA, respectively. The lowest prevalence of mucosal antibodies was observed in children under 12 years of age. The prevalence and levels of IgA and IgG were higher in individuals with a history of SARS-CoV-2 infection. Mucosal antibodies inhibited the binding of Wuhan, Delta, and Omicron BA.1 receptor binding domain to human angiotensin-converting enzyme 2 in 94.4%, 95.4%, and 92.6% of the participants, respectively. Higher levels of mucosal antibodies were associated with a lower risk of future infection.
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Affiliation(s)
- Marije K Verheul
- Centre for Immunology of Infectious Diseases and Vaccines, Centre for Infectious Disease Control, National Institute for Public Health and the Environment, Bilthoven, The Netherlands
| | - Joanna Kaczorowska
- Centre for Immunology of Infectious Diseases and Vaccines, Centre for Infectious Disease Control, National Institute for Public Health and the Environment, Bilthoven, The Netherlands
| | - Marloes I Hofstee
- Centre for Immunology of Infectious Diseases and Vaccines, Centre for Infectious Disease Control, National Institute for Public Health and the Environment, Bilthoven, The Netherlands
| | - Rutger M Schepp
- Centre for Immunology of Infectious Diseases and Vaccines, Centre for Infectious Disease Control, National Institute for Public Health and the Environment, Bilthoven, The Netherlands
| | - Gaby P Smits
- Centre for Immunology of Infectious Diseases and Vaccines, Centre for Infectious Disease Control, National Institute for Public Health and the Environment, Bilthoven, The Netherlands
| | - Dewi Wessels Beljaars
- Centre for Immunology of Infectious Diseases and Vaccines, Centre for Infectious Disease Control, National Institute for Public Health and the Environment, Bilthoven, The Netherlands
| | - Marjan Kuijer
- Centre for Immunology of Infectious Diseases and Vaccines, Centre for Infectious Disease Control, National Institute for Public Health and the Environment, Bilthoven, The Netherlands
| | - Wendy Schuin
- Centre for Immunology of Infectious Diseases and Vaccines, Centre for Infectious Disease Control, National Institute for Public Health and the Environment, Bilthoven, The Netherlands
| | - Irene Middelhof
- Centre for Immunology of Infectious Diseases and Vaccines, Centre for Infectious Disease Control, National Institute for Public Health and the Environment, Bilthoven, The Netherlands
| | - Denise Wong
- Centre for Infectious Diseases, Epidemiology and Surveillance, Centre for Infectious Disease Control, National Institute for Public Health and the Environment, Bilthoven, The Netherlands
| | - Cheyenne C E van Hagen
- Centre for Infectious Diseases, Epidemiology and Surveillance, Centre for Infectious Disease Control, National Institute for Public Health and the Environment, Bilthoven, The Netherlands
| | - Eric R A Vos
- Centre for Infectious Diseases, Epidemiology and Surveillance, Centre for Infectious Disease Control, National Institute for Public Health and the Environment, Bilthoven, The Netherlands
| | - M Alina Nicolaie
- Department of Statistics, Data Science and Modelling, National Institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands
| | - Hester E de Melker
- Centre for Infectious Diseases, Epidemiology and Surveillance, Centre for Infectious Disease Control, National Institute for Public Health and the Environment, Bilthoven, The Netherlands
| | - Robert S van Binnendijk
- Centre for Immunology of Infectious Diseases and Vaccines, Centre for Infectious Disease Control, National Institute for Public Health and the Environment, Bilthoven, The Netherlands
| | - Fiona R M van der Klis
- Centre for Immunology of Infectious Diseases and Vaccines, Centre for Infectious Disease Control, National Institute for Public Health and the Environment, Bilthoven, The Netherlands
| | - Gerco den Hartog
- Centre for Immunology of Infectious Diseases and Vaccines, Centre for Infectious Disease Control, National Institute for Public Health and the Environment, Bilthoven, The Netherlands; Laboratory of Medical Immunology, Radboudumc, Nijmegen, The Netherlands.
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4
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Gelderloos AT, Lakerveld AJ, Schepp RM, Nicolaie MA, van Beek J, Beckers L, van Binnendijk RS, Rots NY, van Kasteren PB. Primary SARS-CoV-2 infection in children and adults results in similar Fc-mediated antibody effector function patterns. Clin Transl Immunology 2024; 13:e1521. [PMID: 39071109 PMCID: PMC11273100 DOI: 10.1002/cti2.1521] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2024] [Revised: 05/28/2024] [Accepted: 06/25/2024] [Indexed: 07/30/2024] Open
Abstract
Objectives Increasing evidence suggests that Fc-mediated antibody effector functions have an important role in protection against respiratory viruses, including SARS-CoV-2. However, limited data are available on the potential differences in the development, heterogeneity and durability of these responses in children compared to adults. Methods Here, we assessed the development of spike S1-specific serum antibody-dependent cellular phagocytosis (ADCP), complement deposition (ADCD) and natural killer cell activation (ADNKA), alongside specific antibody binding concentrations (IgG, IgA and IgM) and IgG avidity in healthy adults (n = 38, 18-56 years) and children (n = 21, 5-16 years) following primary SARS-CoV-2 infection, with a 10-month longitudinal follow-up. Differences between groups were assessed using a nonparametric Kruskal-Wallis test with Dunn's multiple comparisons test. Results We found similar (functional) antibody responses in children compared to adults, with a tendency for increased durability in children, which was statistically significant for ADCD (P < 0.05). While ADNKA was strongly reduced in both adults (P < 0.001) and children (P < 0.05) at the latest time point, ADCP remained relatively stable over time, possibly relating to an increase in avidity of the spike-specific antibodies (P < 0.001). Finally, the ADNKA capacity relative to antibody concentration appeared to decrease over time in both children and adults. Conclusion In conclusion, our data provide novel insights into the development of SARS-CoV-2-specific antibody Fc-mediated effector functions in children and adults. An increased understanding of these characteristics in specific age populations is valuable for the future design of novel and improved vaccination strategies for respiratory viruses such as SARS-CoV-2.
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Affiliation(s)
- Anne T Gelderloos
- Center for Immunology of Infectious Diseases and Vaccines (IIV), Center for Infectious Disease ControlNational Institute for Public Health and the Environment (RIVM)BilthovenThe Netherlands
| | - Anke J Lakerveld
- Center for Immunology of Infectious Diseases and Vaccines (IIV), Center for Infectious Disease ControlNational Institute for Public Health and the Environment (RIVM)BilthovenThe Netherlands
| | - Rutger M Schepp
- Center for Immunology of Infectious Diseases and Vaccines (IIV), Center for Infectious Disease ControlNational Institute for Public Health and the Environment (RIVM)BilthovenThe Netherlands
| | - Mioara Alina Nicolaie
- Department of Statistics, Information Technology and Modelling (SIM)National Institute for Public Health and the Environment (RIVM)BilthovenThe Netherlands
| | - Josine van Beek
- Center for Immunology of Infectious Diseases and Vaccines (IIV), Center for Infectious Disease ControlNational Institute for Public Health and the Environment (RIVM)BilthovenThe Netherlands
| | - Lisa Beckers
- Center for Immunology of Infectious Diseases and Vaccines (IIV), Center for Infectious Disease ControlNational Institute for Public Health and the Environment (RIVM)BilthovenThe Netherlands
| | - Robert S van Binnendijk
- Center for Immunology of Infectious Diseases and Vaccines (IIV), Center for Infectious Disease ControlNational Institute for Public Health and the Environment (RIVM)BilthovenThe Netherlands
| | - Nynke Y Rots
- Center for Immunology of Infectious Diseases and Vaccines (IIV), Center for Infectious Disease ControlNational Institute for Public Health and the Environment (RIVM)BilthovenThe Netherlands
| | - Puck B van Kasteren
- Center for Immunology of Infectious Diseases and Vaccines (IIV), Center for Infectious Disease ControlNational Institute for Public Health and the Environment (RIVM)BilthovenThe Netherlands
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5
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Wang J, Liang X, Zheng Y, Zhu Y, Zhou K, Wu X, Sun R, Hu Y, Zhu X, Chi H, Chen S, Lyu M, Xie Y, Yi X, Liu W, Cai X, Li S, Zhang Q, Wu C, Shi Y, Wang D, Peng M, Zhang Y, Liu H, Zhang C, Quan S, Kong Z, Kang Z, Zhu G, Zhu H, Chen S, Liang J, Yang H, Pang J, Fang Y, Chen H, Li J, Xu J, Guo T, Shen B. Pulmonary and renal long COVID at two-year revisit. iScience 2024; 27:110344. [PMID: 39055942 PMCID: PMC11269939 DOI: 10.1016/j.isci.2024.110344] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2023] [Revised: 01/31/2024] [Accepted: 06/19/2024] [Indexed: 07/28/2024] Open
Abstract
This study investigated host responses to long COVID by following up with 89 of the original 144 cohorts for 1-year (N = 73) and 2-year visits (N = 57). Pulmonary long COVID, characterized by fibrous stripes, was observed in 8.7% and 17.8% of patients at the 1-year and 2-year revisits, respectively, while renal long COVID was present in 15.2% and 23.9% of patients, respectively. Pulmonary and renal long COVID at 1-year revisit was predicted using a machine learning model based on clinical and multi-omics data collected during the first month of the disease with an accuracy of 87.5%. Proteomics revealed that lung fibrous stripes were associated with consistent down-regulation of surfactant-associated protein B in the sera, while renal long COVID could be linked to the inhibition of urinary protein expression. This study provides a longitudinal view of the clinical and molecular landscape of COVID-19 and presents a predictive model for pulmonary and renal long COVID.
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Affiliation(s)
- Jing Wang
- Taizhou Hospital of Zhejiang Province Affiliated to Wenzhou Medical University, Linhai, China
- Key Laboratory of System Medicine and Precision Diagnosis and Treatment of Taizhou, Taizhou, Zhejiang, China
- Taizhou Institute of Medicine, Health and New Drug Clinical Research, Taizhou, Zhejiang, China
| | - Xiao Liang
- Center for Intelligent Proteomics, Westlake Laboratory of Life Sciences and Biomedicine, Key Laboratory of Structural Biology of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou, Zhejiang Province, China
- Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, Hangzhou, Zhejiang Province, China
- Research Center for Industries of the Future, Westlake University, Hangzhou, Zhejiang, China
| | - Yufen Zheng
- Taizhou Hospital of Zhejiang Province Affiliated to Wenzhou Medical University, Linhai, China
- Key Laboratory of System Medicine and Precision Diagnosis and Treatment of Taizhou, Taizhou, Zhejiang, China
- Taizhou Institute of Medicine, Health and New Drug Clinical Research, Taizhou, Zhejiang, China
| | - Yi Zhu
- Center for Intelligent Proteomics, Westlake Laboratory of Life Sciences and Biomedicine, Key Laboratory of Structural Biology of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou, Zhejiang Province, China
- Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, Hangzhou, Zhejiang Province, China
- Research Center for Industries of the Future, Westlake University, Hangzhou, Zhejiang, China
| | - Kai Zhou
- Taizhou Hospital of Zhejiang Province Affiliated to Wenzhou Medical University, Linhai, China
| | - Xiaomai Wu
- Taizhou Hospital of Zhejiang Province Affiliated to Wenzhou Medical University, Linhai, China
| | - Rui Sun
- Center for Intelligent Proteomics, Westlake Laboratory of Life Sciences and Biomedicine, Key Laboratory of Structural Biology of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou, Zhejiang Province, China
- Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, Hangzhou, Zhejiang Province, China
- Research Center for Industries of the Future, Westlake University, Hangzhou, Zhejiang, China
| | - Yifan Hu
- Westlake Omics (Hangzhou) Biotechnology Co., Ltd, Hangzhou 310024, China
| | - Xiaoli Zhu
- Taizhou Hospital of Zhejiang Province Affiliated to Wenzhou Medical University, Linhai, China
| | - Hongbo Chi
- Taizhou Hospital of Zhejiang Province Affiliated to Wenzhou Medical University, Linhai, China
| | - Shanjun Chen
- Westlake Omics (Hangzhou) Biotechnology Co., Ltd, Hangzhou 310024, China
| | - Mengge Lyu
- Center for Intelligent Proteomics, Westlake Laboratory of Life Sciences and Biomedicine, Key Laboratory of Structural Biology of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou, Zhejiang Province, China
- Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, Hangzhou, Zhejiang Province, China
- Research Center for Industries of the Future, Westlake University, Hangzhou, Zhejiang, China
| | - Yuting Xie
- Center for Intelligent Proteomics, Westlake Laboratory of Life Sciences and Biomedicine, Key Laboratory of Structural Biology of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou, Zhejiang Province, China
- Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, Hangzhou, Zhejiang Province, China
- Research Center for Industries of the Future, Westlake University, Hangzhou, Zhejiang, China
| | - Xiao Yi
- Westlake Omics (Hangzhou) Biotechnology Co., Ltd, Hangzhou 310024, China
| | - Wei Liu
- Westlake Omics (Hangzhou) Biotechnology Co., Ltd, Hangzhou 310024, China
| | - Xue Cai
- Center for Intelligent Proteomics, Westlake Laboratory of Life Sciences and Biomedicine, Key Laboratory of Structural Biology of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou, Zhejiang Province, China
- Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, Hangzhou, Zhejiang Province, China
- Research Center for Industries of the Future, Westlake University, Hangzhou, Zhejiang, China
| | - Sainan Li
- Center for Intelligent Proteomics, Westlake Laboratory of Life Sciences and Biomedicine, Key Laboratory of Structural Biology of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou, Zhejiang Province, China
- Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, Hangzhou, Zhejiang Province, China
- Research Center for Industries of the Future, Westlake University, Hangzhou, Zhejiang, China
| | - Qiushi Zhang
- Westlake Omics (Hangzhou) Biotechnology Co., Ltd, Hangzhou 310024, China
| | - Chunlong Wu
- Westlake Omics (Hangzhou) Biotechnology Co., Ltd, Hangzhou 310024, China
| | - Yingqiu Shi
- Center for Intelligent Proteomics, Westlake Laboratory of Life Sciences and Biomedicine, Key Laboratory of Structural Biology of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou, Zhejiang Province, China
- Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, Hangzhou, Zhejiang Province, China
- Research Center for Industries of the Future, Westlake University, Hangzhou, Zhejiang, China
| | - Donglian Wang
- Taizhou Hospital of Zhejiang Province Affiliated to Wenzhou Medical University, Linhai, China
| | - Minfei Peng
- Taizhou Hospital of Zhejiang Province Affiliated to Wenzhou Medical University, Linhai, China
| | - Ying Zhang
- Taizhou Hospital of Zhejiang Province Affiliated to Wenzhou Medical University, Linhai, China
| | - Huafen Liu
- Calibra Lab at DIAN Diagnostics, 329 Jinpeng Street, Hangzhou 310030, Zhejiang Province, China
| | - Chao Zhang
- Calibra Lab at DIAN Diagnostics, 329 Jinpeng Street, Hangzhou 310030, Zhejiang Province, China
| | - Sheng Quan
- Calibra Lab at DIAN Diagnostics, 329 Jinpeng Street, Hangzhou 310030, Zhejiang Province, China
| | - Ziqing Kong
- Calibra Lab at DIAN Diagnostics, 329 Jinpeng Street, Hangzhou 310030, Zhejiang Province, China
| | - Zhouyang Kang
- Calibra Lab at DIAN Diagnostics, 329 Jinpeng Street, Hangzhou 310030, Zhejiang Province, China
| | - Guangjun Zhu
- Taizhou Hospital of Zhejiang Province Affiliated to Wenzhou Medical University, Linhai, China
| | - Hongguo Zhu
- Taizhou Hospital of Zhejiang Province Affiliated to Wenzhou Medical University, Linhai, China
| | - Shiyong Chen
- Taizhou Hospital of Zhejiang Province Affiliated to Wenzhou Medical University, Linhai, China
| | - Junbo Liang
- Taizhou Hospital of Zhejiang Province Affiliated to Wenzhou Medical University, Linhai, China
| | - Hai Yang
- Taizhou Hospital of Zhejiang Province Affiliated to Wenzhou Medical University, Linhai, China
| | - Jianxin Pang
- Taizhou Hospital of Zhejiang Province Affiliated to Wenzhou Medical University, Linhai, China
| | - Yicheng Fang
- Taizhou Hospital of Zhejiang Province Affiliated to Wenzhou Medical University, Linhai, China
| | - Haixiao Chen
- Taizhou Hospital of Zhejiang Province Affiliated to Wenzhou Medical University, Linhai, China
| | - Jun Li
- Taizhou Hospital of Zhejiang Province Affiliated to Wenzhou Medical University, Linhai, China
- Key Laboratory of System Medicine and Precision Diagnosis and Treatment of Taizhou, Taizhou, Zhejiang, China
- Taizhou Institute of Medicine, Health and New Drug Clinical Research, Taizhou, Zhejiang, China
| | - Jiaqin Xu
- Taizhou Hospital of Zhejiang Province Affiliated to Wenzhou Medical University, Linhai, China
- Key Laboratory of System Medicine and Precision Diagnosis and Treatment of Taizhou, Taizhou, Zhejiang, China
- Taizhou Institute of Medicine, Health and New Drug Clinical Research, Taizhou, Zhejiang, China
| | - Tiannan Guo
- Center for Intelligent Proteomics, Westlake Laboratory of Life Sciences and Biomedicine, Key Laboratory of Structural Biology of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou, Zhejiang Province, China
- Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, Hangzhou, Zhejiang Province, China
- Research Center for Industries of the Future, Westlake University, Hangzhou, Zhejiang, China
| | - Bo Shen
- Taizhou Hospital of Zhejiang Province Affiliated to Wenzhou Medical University, Linhai, China
- Key Laboratory of System Medicine and Precision Diagnosis and Treatment of Taizhou, Taizhou, Zhejiang, China
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Streng BMM, Van Coillie J, Wildenbeest JG, Binnendijk RS, Smits G, den Hartog G, Wang W, Nouta J, Linty F, Visser R, Wuhrer M, Vidarsson G, Bont LJ. IgG1 glycosylation highlights premature aging in Down syndrome. Aging Cell 2024; 23:e14167. [PMID: 38616780 PMCID: PMC11258452 DOI: 10.1111/acel.14167] [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: 12/14/2023] [Revised: 03/12/2024] [Accepted: 03/24/2024] [Indexed: 04/16/2024] Open
Abstract
Down syndrome (DS) is characterized by lowered immune competence and premature aging. We previously showed decreased antibody response following SARS-CoV-2 vaccination in adults with DS. IgG1 Fc glycosylation patterns are known to affect the effector function of IgG and are associated with aging. Here, we compare total and anti-spike (S) IgG1 glycosylation patterns following SARS-CoV-2 vaccination in DS and healthy controls (HC). Total and anti-Spike IgG1 Fc N-glycan glycoprofiles were measured in non-exposed adults with DS and controls before and after SARS-CoV-2 vaccination by liquid chromatography-mass spectrometry (LC-MS) of Fc glycopeptides. We recruited N = 44 patients and N = 40 controls. We confirmed IgG glycosylation patterns associated with aging in HC and showed premature aging in DS. In DS, we found decreased galactosylation (50.2% vs. 59.0%) and sialylation (6.7% vs. 8.5%) as well as increased fucosylation (97.0% vs. 94.6%) of total IgG. Both cohorts showed similar bisecting GlcNAc of total and anti-S IgG1 with age. In contrast, anti-S IgG1 of DS and HC showed highly comparable glycosylation profiles 28 days post vaccination. The IgG1 glycoprofile in DS exhibits strong premature aging. The combination of an early decrease in IgG1 Fc galactosylation and sialylation and increase in fucosylation is predicted to reduce complement activity and decrease FcγRIII binding and subsequent activation, respectively. The altered glycosylation patterns, combined with decreased antibody concentrations, help us understand the susceptibility to severe infections in DS. The effect of premature aging highlights the need for individuals with DS to receive tailored vaccines and/or vaccination schedules.
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Affiliation(s)
- Bianca M. M. Streng
- Department of Paediatric Infectious Diseases and Immunology, Wilhelmina Children's HospitalUniversity Medical Center UtrechtUtrechtThe Netherlands
| | - Julie Van Coillie
- Sanquin Research and Landsteiner LaboratoryAmsterdam University Medical Center, University of AmsterdamAmsterdamThe Netherlands
- Department of Biomolecular Mass Spectrometry and Proteomics, Utrecht Institute for Pharmaceutical Sciences and Bijvoet Center for Biomolecular ResearchUtrecht UniversityUtrechtThe Netherlands
| | - Joanne G. Wildenbeest
- Department of Paediatric Infectious Diseases and Immunology, Wilhelmina Children's HospitalUniversity Medical Center UtrechtUtrechtThe Netherlands
| | - Rob S. Binnendijk
- Centre for Immunology of Infectious Diseases and VaccinesNational Institute of Public Health and the EnvironmentBilthovenThe Netherlands
| | - Gaby Smits
- Centre for Immunology of Infectious Diseases and VaccinesNational Institute of Public Health and the EnvironmentBilthovenThe Netherlands
| | - Gerco den Hartog
- Centre for Immunology of Infectious Diseases and VaccinesNational Institute of Public Health and the EnvironmentBilthovenThe Netherlands
| | - Wenjun Wang
- Center for Proteomics and Metabolomics, Leiden University Medical CenterLeidenThe Netherlands
| | - Jan Nouta
- Center for Proteomics and Metabolomics, Leiden University Medical CenterLeidenThe Netherlands
| | - Federica Linty
- Sanquin Research and Landsteiner LaboratoryAmsterdam University Medical Center, University of AmsterdamAmsterdamThe Netherlands
- Department of Biomolecular Mass Spectrometry and Proteomics, Utrecht Institute for Pharmaceutical Sciences and Bijvoet Center for Biomolecular ResearchUtrecht UniversityUtrechtThe Netherlands
| | - Remco Visser
- Sanquin Research and Landsteiner LaboratoryAmsterdam University Medical Center, University of AmsterdamAmsterdamThe Netherlands
- Department of Biomolecular Mass Spectrometry and Proteomics, Utrecht Institute for Pharmaceutical Sciences and Bijvoet Center for Biomolecular ResearchUtrecht UniversityUtrechtThe Netherlands
| | - Manfred Wuhrer
- Center for Proteomics and Metabolomics, Leiden University Medical CenterLeidenThe Netherlands
| | - Gestur Vidarsson
- Sanquin Research and Landsteiner LaboratoryAmsterdam University Medical Center, University of AmsterdamAmsterdamThe Netherlands
- Department of Biomolecular Mass Spectrometry and Proteomics, Utrecht Institute for Pharmaceutical Sciences and Bijvoet Center for Biomolecular ResearchUtrecht UniversityUtrechtThe Netherlands
| | - Louis J. Bont
- Department of Paediatric Infectious Diseases and Immunology, Wilhelmina Children's HospitalUniversity Medical Center UtrechtUtrechtThe Netherlands
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7
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Malahe SRK, den Hartog Y, Rietdijk WJR, van Baarle D, de Kuiper R, Reijerkerk D, Ras AM, Geers D, Diavatopoulos DA, Messchendorp AL, van der Molen RG, Imhof C, Frölke SC, Bemelman FJ, Gansevoort RT, Hilbrands LB, Sanders JSF, GeurtsvanKessel CH, Kho MML, de Vries RD, Reinders MEJ, Baan CC. Repeated COVID-19 Vaccination Drives Memory T- and B-cell Responses in Kidney Transplant Recipients: Results From a Multicenter Randomized Controlled Trial. Transplantation 2024; 108:00007890-990000000-00797. [PMID: 38902860 PMCID: PMC11581438 DOI: 10.1097/tp.0000000000005119] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2024] [Revised: 04/30/2024] [Accepted: 05/16/2024] [Indexed: 06/22/2024]
Abstract
BACKGROUND Insight into cellular immune responses to COVID-19 vaccinations is crucial for optimizing booster programs in kidney transplant recipients (KTRs). METHODS In an immunologic substudy of a multicenter randomized controlled trial (NCT05030974) investigating different repeated vaccination strategies in KTR who showed poor serological responses after 2 or 3 doses of an messenger RNA (mRNA)-based vaccine, we compared SARS-CoV-2-specific interleukin-21 memory T-cell and B-cell responses by enzyme-linked immunosorbent spot (ELISpot) assays and serum IgG antibody levels. Patients were randomized to receive: a single dose of mRNA-1273 (100 μg, n = 25), a double dose of mRNA-1273 (2 × 100 μg, n = 25), or a single dose of adenovirus type 26 encoding the SARS-CoV-2 spike glycoprotein (Ad26.COV2.S) (n = 25). In parallel, we also examined responses in 50 KTR receiving 100 μg mRNA-1273, randomized to continue (n = 25) or discontinue (n = 25) mycophenolate mofetil/mycophenolic acid. As a reference, the data were compared with KTR who received 2 primary mRNA-1273 vaccinations. RESULTS Repeated vaccination increased the seroconversion rate from 21% to 66% in all patients, which was strongly associated with enhanced levels of SARS-CoV-2-specific interleukin-21 memory T cells (odd ratio, 3.84 [1.89-7.78]; P < 0.001) and B cells (odd ratio, 35.93 [6.94-186.04]; P < 0.001). There were no significant differences observed in these responses among various vaccination strategies. In contrast to KTR vaccinated with 2 primary vaccinations, the number of antigen-specific memory B cells demonstrated potential for classifying seroconversion after repeated vaccination (area under the curve, 0.64; 95% confidence interval, 0.37-0.90; P = 0.26 and area under the curve, 0.95; confidence interval, 0.87-0.97; P < 0.0001, respectively). CONCLUSIONS Our study emphasizes the importance of virus-specific memory T- and B-cell responses for comprehensive understanding of COVID-19 vaccine efficacy among KTR.
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Affiliation(s)
- S. Reshwan K. Malahe
- Department of Internal Medicine, Nephrology and Transplantation, Erasmus MC Transplant Institute, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - Yvette den Hartog
- Department of Internal Medicine, Nephrology and Transplantation, Erasmus MC Transplant Institute, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - Wim J. R. Rietdijk
- Department of Hospital Pharmacy, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - Debbie van Baarle
- Department of Medical Microbiology and Infection Prevention, Virology and Immunology Research Group, University Medical Center Groningen, Groningen, the Netherlands
- Center for Infectious Disease Control, National Institute for Public Health and the Environment, Bilthoven, the Netherlands
| | - Ronella de Kuiper
- Department of Internal Medicine, Nephrology and Transplantation, Erasmus MC Transplant Institute, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - Derek Reijerkerk
- Department of Internal Medicine, Nephrology and Transplantation, Erasmus MC Transplant Institute, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - Alicia M. Ras
- Department of Internal Medicine, Nephrology and Transplantation, Erasmus MC Transplant Institute, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - Daryl Geers
- Department of Viroscience, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - Dimitri A. Diavatopoulos
- Radboud Institute for Molecular Life Sciences, Department of Laboratory Medicine, Laboratory of Medical Immunology, Radboud University Medical Center Nijmegen, Nijmegen, the Netherlands
- Radboud Center for Infectious Diseases, Radboud University Medical Center Nijmegen, Nijmegen, the Netherlands
| | - A. Lianne Messchendorp
- Department of Internal Medicine, Division of Nephrology, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - Renate G. van der Molen
- Radboud Institute for Molecular Life Sciences, Department of Laboratory Medicine, Laboratory of Medical Immunology, Radboud University Medical Center Nijmegen, Nijmegen, the Netherlands
| | - Céline Imhof
- Department of Internal Medicine, Division of Nephrology, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - Sophie C. Frölke
- Department of Experimental Immunology, Amsterdam Infection and Immunity Institute, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands
- Renal Transplant Unit, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands
| | - Frederike J. Bemelman
- Renal Transplant Unit, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands
| | - Ron T. Gansevoort
- Department of Internal Medicine, Division of Nephrology, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - Luuk B. Hilbrands
- Department of Nephrology, Radboud Institute for Health Sciences, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Jan-Stephan F. Sanders
- Department of Internal Medicine, Division of Nephrology, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | | | - Marcia M. L. Kho
- Department of Internal Medicine, Nephrology and Transplantation, Erasmus MC Transplant Institute, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - Rory D. de Vries
- Department of Viroscience, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - Marlies E. J. Reinders
- Department of Internal Medicine, Nephrology and Transplantation, Erasmus MC Transplant Institute, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - Carla C. Baan
- Department of Internal Medicine, Nephrology and Transplantation, Erasmus MC Transplant Institute, Erasmus University Medical Center, Rotterdam, the Netherlands
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8
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Vos ERA, van Hagen CCE, Wong D, Smits G, Kuijer M, Wijmenga-Monsuur AJ, Kaczorowska J, van Binnendijk RS, van der Klis FRM, den Hartog G, de Melker HE. SARS-CoV-2 Seroprevalence Trends in the Netherlands in the Variant of Concern Era: Input for Future Response. Influenza Other Respir Viruses 2024; 18:e13312. [PMID: 38837866 DOI: 10.1111/irv.13312] [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: 02/20/2024] [Revised: 04/23/2024] [Accepted: 04/24/2024] [Indexed: 06/07/2024] Open
Abstract
BACKGROUND To inform future response planning we aimed to assess SARS-CoV-2 trends in infection- and/or vaccine-induced immunity, including breakthrough infections, among (sub)groups, professions and regions in the Dutch population during the Variant of Concern (VOC)-era. METHODS In this prospective population-based cohort, randomly selected participants (n = 9985) aged 1-92 years (recruited early-2020) donated home-collected fingerstick-blood samples at six timepoints in 2021/2022, covering waves dominated by Alpha, Delta, and multiple Omicron (sub-)variants. IgG antibody assessment against Spike-S1 and Nucleoprotein was combined with vaccination- and testing data to estimate infection-induced (inf) and total (infection- and vaccination-induced) seroprevalence. RESULTS Nationwide inf-seroprevalence rose modestly from 12% (95% CI 11-13) since Alpha to 26% (95% CI 24-28) amidst Delta, while total seroprevalence increased rapidly to 87% (95% CI 85-88), particularly in elderly and those with comorbidities (i.e., vulnerable groups). Interestingly, highest infection rates were noticeable among low/middle educated elderly, non-Western, those in contact professions, adolescents and young adults, and in low-vaccination coverage regions. Following Omicron emergence, inf-seroprevalence elevated sharply to 62% (95% CI 59-65) and further to 86% (95% CI 83-90) in late-2022, with frequent breakthrough infections and decreasing seroprevalence dissimilarities between most groups. Whereas > 90% of < 60-year-olds had been infected at least once, 30% of vaccinated vulnerable individuals had still not acquired hybrid immunity. CONCLUSIONS Groups identified to have been infected disproportionally during the acute phase of the pandemic require specific attention in evaluation of control measures and future response planning worldwide. Furthermore, ongoing tailored vaccination efforts and (sero-)monitoring of vulnerable groups may remain important.
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Affiliation(s)
- Eric R A Vos
- Centre for Epidemiology and Surveillance, Centre for Infectious Disease Control, National Institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands
| | - Cheyenne C E van Hagen
- Centre for Epidemiology and Surveillance, Centre for Infectious Disease Control, National Institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands
| | - Denise Wong
- Centre for Epidemiology and Surveillance, Centre for Infectious Disease Control, National Institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands
| | - Gaby Smits
- Centre for Immunology of Infectious Diseases and Vaccines, Centre for Infectious Disease Control, National Institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands
| | - Marjan Kuijer
- Centre for Immunology of Infectious Diseases and Vaccines, Centre for Infectious Disease Control, National Institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands
| | - Alienke J Wijmenga-Monsuur
- Centre for Immunology of Infectious Diseases and Vaccines, Centre for Infectious Disease Control, National Institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands
| | - Joanna Kaczorowska
- Centre for Immunology of Infectious Diseases and Vaccines, Centre for Infectious Disease Control, National Institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands
| | - Robert S van Binnendijk
- Centre for Immunology of Infectious Diseases and Vaccines, Centre for Infectious Disease Control, National Institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands
| | - Fiona R M van der Klis
- Centre for Immunology of Infectious Diseases and Vaccines, Centre for Infectious Disease Control, National Institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands
| | - Gerco den Hartog
- Centre for Immunology of Infectious Diseases and Vaccines, Centre for Infectious Disease Control, National Institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands
- Laboratory of Medical Immunology, Radboud Institute for Molecular Life Sciences, Radboudumc, Nijmegen, The Netherlands
| | - Hester E de Melker
- Centre for Epidemiology and Surveillance, Centre for Infectious Disease Control, National Institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands
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9
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Holwerda MR, Hoeve CE, Huiberts AJ, den Hartog G, de Melker HE, van den Hof S, Knol MJ. Association between adverse events after COVID-19 vaccination and anti-SARS-CoV-2 antibody concentrations, the Netherlands, May 2021 to November 2022: a population-based prospective cohort study. Euro Surveill 2024; 29:2300585. [PMID: 38904110 PMCID: PMC11191418 DOI: 10.2807/1560-7917.es.2024.29.25.2300585] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2023] [Accepted: 03/11/2024] [Indexed: 06/22/2024] Open
Abstract
BackgroundNon-severe adverse events (AE) including pain at injection site or fever are common after COVID-19 vaccination.AimTo describe determinants of AE after COVID-19 vaccination and investigate the association between AE and pre- and post-vaccination antibody concentrations.MethodsParticipants of an ongoing prospective cohort study (VASCO) completed a questionnaire on AE within 2 months after vaccination and provided 6 monthly serum samples during May 2021-November 2022. Logistic regression analyses were performed to investigate AE determinants after mRNA vaccination, including pre-vaccination Ig antibody concentrations against the SARS-CoV-2 spike protein receptor binding domain. Multivariable linear regression was performed in SARS-CoV-2-naive participants to assess the association between AE and log-transformed antibody concentrations 3-8 weeks after mRNA vaccination.ResultsWe received 47,947 completed AE questionnaires by 28,032 participants. In 42% and 34% of questionnaires, injection site and systemic AE were reported, respectively. In 2.2% of questionnaires, participants sought medical attention. AE were reported more frequently by women, younger participants (< 60 years), participants with medical risk conditions and Spikevax recipients (vs Comirnaty). Higher pre-vaccination antibody concentrations were associated with higher incidence of systemic AE after the second and third dose, but not with injection site AE or AE for which medical attention was sought. Any AE after the third dose was associated with higher post-vaccination antibody concentrations (geometric mean concentration ratio: 1.38; 95% CI: 1.23-1.54).ConclusionsOur study suggests that high pre-vaccination antibody levels are associated with AE, and experiencing AE may be a marker for higher antibody response to vaccination.
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Affiliation(s)
- Minke R Holwerda
- Centre for Infectious Disease Control, National Institute for Public Health and the Environment, Bilthoven, the Netherlands
| | - Christina E Hoeve
- Centre for Infectious Disease Control, National Institute for Public Health and the Environment, Bilthoven, the Netherlands
| | - Anne J Huiberts
- Centre for Infectious Disease Control, National Institute for Public Health and the Environment, Bilthoven, the Netherlands
| | - Gerco den Hartog
- Centre for Infectious Disease Control, National Institute for Public Health and the Environment, Bilthoven, the Netherlands
| | - Hester E de Melker
- Centre for Infectious Disease Control, National Institute for Public Health and the Environment, Bilthoven, the Netherlands
| | - Susan van den Hof
- Centre for Infectious Disease Control, National Institute for Public Health and the Environment, Bilthoven, the Netherlands
| | - Mirjam J Knol
- Centre for Infectious Disease Control, National Institute for Public Health and the Environment, Bilthoven, the Netherlands
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10
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Pagen DM, Hanssen DA, van Loo IH, Brinkhues S, den Heijer CD, Dukers-Muijrers NH, Hoebe CJ. The association between SARS-CoV-2 seroprevalence and cross-border mobility for visiting family or friends among Dutch residents of a Euregional province. Health Policy 2024; 143:105056. [PMID: 38537398 DOI: 10.1016/j.healthpol.2024.105056] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2023] [Revised: 12/11/2023] [Accepted: 03/20/2024] [Indexed: 04/20/2024]
Abstract
BACKGROUND Border measures were implemented in many countries as infection prevention measures to interrupt between-country COVID-19 transmission. Border closings impact border region residents, as their professional and social lives are often intertwined across national borders. We studied whether crossing borders to visit family/friends in neighbouring countries (cross-border mobility) was associated with SARS-CoV-2 seroprevalence in Dutch Euregional residents. METHODS SARS-CoV-2 serostatus (negative/positive) was assessed (pre-vaccination) using laboratory testing to determine previous infection. Visiting Belgian or German family/friends in February-March 2020 was questioned. The association between cross-border mobility and seroprevalence was tested using logistic regression analysis, adjusted for previously identified exposure factors. RESULTS In 9,996 participants, 36.8 % (n = 3,677) reported cross-border family/friends. Of these, one-third (n = 1,306) visited their cross-border family/friends in February-March 2020. Multivariable analyses revealed no positive association between cross-border mobility and seropositivity, for both participants living in a border municipality (ORfamily/friends not visited=0.90 [95 % CI:0.78-1.04], ORfamily/friends visited=0.88 [95 % CI:0.73-1.05]), and for participants not living in a border municipality (ORfamily/friends not visited=0.91 [95 % CI:0.72-1.16], ORfamily/friends visited=0.62 [95 % CI:0.41-0.94]). CONCLUSIONS This study provided no evidence of cross-border mobility as an important exposure factor for SARS-CoV-2. The results of our unique real-world study suggest that cross-border mobility did not substantially contribute to cross-border SARS-CoV-2 transmission in the Netherlands.
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Affiliation(s)
- Demi Me Pagen
- Department of Sexual Health, Infectious Diseases, and Environmental Health, Living Lab Public Health, South Limburg Public Health Service, Heerlen, the Netherlands; Department of Social Medicine, Maastricht University, Care and Public Health Research Institute (CAPHRI), Maastricht University, Maastricht, the Netherlands.
| | - Daniëlle At Hanssen
- Department of Medical Microbiology, Infectious Diseases and Prevention, Maastricht University Medical Center (MUMC+), Care and Public Health Research Institute (CAPHRI), Maastricht, the Netherlands
| | - Inge Hm van Loo
- Department of Medical Microbiology, Infectious Diseases and Prevention, Maastricht University Medical Center (MUMC+), Care and Public Health Research Institute (CAPHRI), Maastricht, the Netherlands
| | - Stephanie Brinkhues
- Department of Knowledge and Innovation, South Limburg Public Health Service, Heerlen, the Netherlands
| | - Casper Dj den Heijer
- Department of Sexual Health, Infectious Diseases, and Environmental Health, Living Lab Public Health, South Limburg Public Health Service, Heerlen, the Netherlands; Department of Social Medicine, Maastricht University, Care and Public Health Research Institute (CAPHRI), Maastricht University, Maastricht, the Netherlands
| | - Nicole Htm Dukers-Muijrers
- Department of Sexual Health, Infectious Diseases, and Environmental Health, Living Lab Public Health, South Limburg Public Health Service, Heerlen, the Netherlands; Department of Health Promotion, Maastricht University, Care and Public Health Research Institute (CAPHRI), Maastricht University, Maastricht, the Netherlands
| | - Christian Jpa Hoebe
- Department of Sexual Health, Infectious Diseases, and Environmental Health, Living Lab Public Health, South Limburg Public Health Service, Heerlen, the Netherlands; Department of Social Medicine, Maastricht University, Care and Public Health Research Institute (CAPHRI), Maastricht University, Maastricht, the Netherlands; Department of Medical Microbiology, Infectious Diseases and Prevention, Maastricht University Medical Center (MUMC+), Care and Public Health Research Institute (CAPHRI), Maastricht, the Netherlands
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11
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van Eijk LE, Bourgonje AR, Messchendorp AL, Bulthuis MLC, Reinders-Luinge M, Doornbos-van der Meer B, Westra J, den Dunnen WFA, Hillebrands JL, Sanders JSF, van Goor H. Systemic oxidative stress may be associated with reduced IgG antibody titers against SARS-CoV-2 in vaccinated kidney transplant recipients: A post-hoc analysis of the RECOVAC-IR observational study. Free Radic Biol Med 2024; 215:14-24. [PMID: 38395091 DOI: 10.1016/j.freeradbiomed.2024.02.018] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/30/2023] [Accepted: 02/16/2024] [Indexed: 02/25/2024]
Abstract
BACKGROUND Coronavirus disease 2019 (COVID-19) poses an increased risk for severe illness and suboptimal vaccination responses in patients with kidney disease, in which oxidative stress may be involved. Oxidative stress can be reliably measured by determining circulating free thiols (R-SH, sulfhydryl groups), since R-SH are rapidly oxidized by reactive species. In this study, we aimed to examine the association between serum free thiols and the ability to mount a humoral immune response to SARS-CoV-2 vaccination in kidney patients. METHODS Serum free thiol concentrations were measured in patients with chronic kidney disease stages 4/5 (CKD G4/5) (n = 46), on dialysis (n = 43), kidney transplant recipients (KTR) (n = 73), and controls (n = 50). Baseline serum free thiol and interferon-γ-induced protein-10 (IP-10) - a biomarker of the interferon response - were analyzed for associations with seroconversion rates and SARS-CoV-2 spike (S1)-specific IgG concentrations after two doses of the mRNA-1273 vaccine. RESULTS Albumin-adjusted serum free thiol concentrations were significantly lower in patients with CKD G4/5 (P < 0.001), on dialysis (P < 0.001), and KTR (P < 0.001), as compared to controls. Seroconversion rates after full vaccination were markedly reduced in KTR (52.1%) and were significantly associated with albumin-adjusted free thiols (OR = 1.76, P = 0.033). After adjustment for MMF use, hemoglobin, and eGFR, this significance was not sustained (OR = 1.49, P = 0.241). CONCLUSIONS KTR show suboptimal serological responses to SARS-CoV-2 vaccination, which is inversely associated with serum R-SH, reflecting systemic oxidative stress. Albeit this association was not robust to relevant confounding factors, it may at least partially be involved in the inability of KTR to generate a positive serological response after SARS-CoV-2 vaccination.
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Affiliation(s)
- Larissa E van Eijk
- University of Groningen, University Medical Center Groningen, Department of Pathology and Medical Biology, Division of Pathology, 9713 GZ, Groningen, the Netherlands.
| | - Arno R Bourgonje
- University of Groningen, University Medical Center Groningen, Department of Gastroenterology and Hepatology, Groningen, the Netherlands; The Henry D. Janowitz Division of Gastroenterology, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, United States.
| | - A Lianne Messchendorp
- University of Groningen, University Medical Center Groningen, Department of Internal Medicine, Division of Nephrology, 9713 GZ, Groningen, the Netherlands.
| | - Marian L C Bulthuis
- University of Groningen, University Medical Center Groningen, Department of Pathology and Medical Biology, Division of Pathology, 9713 GZ, Groningen, the Netherlands.
| | - Marjan Reinders-Luinge
- University of Groningen, University Medical Center Groningen, Department of Pathology and Medical Biology, Division of Pathology, 9713 GZ, Groningen, the Netherlands.
| | - Berber Doornbos-van der Meer
- University of Groningen, University Medical Center Groningen, Department of Rheumatology and Clinical Immunology, 9713 GZ, Groningen, the Netherlands.
| | - Johanna Westra
- University of Groningen, University Medical Center Groningen, Department of Rheumatology and Clinical Immunology, 9713 GZ, Groningen, the Netherlands.
| | - Wilfred F A den Dunnen
- University of Groningen, University Medical Center Groningen, Department of Pathology and Medical Biology, Division of Pathology, 9713 GZ, Groningen, the Netherlands.
| | - Jan-Luuk Hillebrands
- University of Groningen, University Medical Center Groningen, Department of Pathology and Medical Biology, Division of Pathology, 9713 GZ, Groningen, the Netherlands.
| | - Jan-Stephan F Sanders
- University of Groningen, University Medical Center Groningen, Department of Internal Medicine, Division of Nephrology, 9713 GZ, Groningen, the Netherlands.
| | - Harry van Goor
- University of Groningen, University Medical Center Groningen, Department of Pathology and Medical Biology, Division of Pathology, 9713 GZ, Groningen, the Netherlands.
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12
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Selvavinayagam TS, Somasundaram A, Selvam JM, Sampath P, Vijayalakshmi V, Kumar CAB, Subramaniam S, Kumarasamy P, Raju S, Avudaiselvi R, Prakash V, Yogananth N, Subramanian G, Roshini A, Dhiliban DN, Imad S, Tandel V, Parasa R, Sachdeva S, Ramachandran S, Malani A. Contribution of infection and vaccination to population-level seroprevalence through two COVID waves in Tamil Nadu, India. Sci Rep 2024; 14:2091. [PMID: 38267448 PMCID: PMC10808562 DOI: 10.1038/s41598-023-50338-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2023] [Accepted: 12/19/2023] [Indexed: 01/26/2024] Open
Abstract
This study employs repeated, large panels of serological surveys to document rapid and substantial waning of SARS-CoV-2 antibodies at the population level and to calculate the extent to which infection and vaccination separately contribute to seroprevalence estimates. Four rounds of serological surveys were conducted, spanning two COVID waves (October 2020 and April-May 2021), in Tamil Nadu (population 72 million) state in India. Each round included representative populations in each district of the state, totaling ≥ 20,000 persons per round. State-level seroprevalence was 31.5% in round 1 (October-November 2020), after India's first COVID wave. Seroprevalence fell to 22.9% in round 2 (April 2021), a roughly one-third decline in 6 months, consistent with dramatic waning of SARS-Cov-2 antibodies from natural infection. Seroprevalence rose to 67.1% by round 3 (June-July 2021), with infections from the Delta-variant induced second COVID wave accounting for 74% of the increase. Seroprevalence rose to 93.1% by round 4 (December 2021-January 2022), with vaccinations accounting for 63% of the increase. Antibodies also appear to wane after vaccination. Seroprevalence in urban areas was higher than in rural areas, but the gap shrunk over time (35.7 v. 25.7% in round 1, 89.8% v. 91.4% in round 4) as the epidemic spread even in low-density rural areas.
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Affiliation(s)
- T S Selvavinayagam
- Directorate of Public Health and Preventative Medicine, Government of Tamil Nadu, Chennai, Tamil Nadu, India
| | | | - Jerard Maria Selvam
- Directorate of Public Health and Preventative Medicine, Government of Tamil Nadu, Chennai, Tamil Nadu, India
| | - P Sampath
- Directorate of Public Health and Preventative Medicine, Government of Tamil Nadu, Chennai, Tamil Nadu, India
| | - V Vijayalakshmi
- Directorate of Public Health and Preventative Medicine, Government of Tamil Nadu, Chennai, Tamil Nadu, India
| | - C Ajith Brabhu Kumar
- Directorate of Public Health and Preventative Medicine, Government of Tamil Nadu, Chennai, Tamil Nadu, India
| | | | - Parthipan Kumarasamy
- Directorate of Public Health and Preventative Medicine, Government of Tamil Nadu, Chennai, Tamil Nadu, India
| | - S Raju
- Directorate of Public Health and Preventative Medicine, Government of Tamil Nadu, Chennai, Tamil Nadu, India
| | - R Avudaiselvi
- Directorate of Public Health and Preventative Medicine, Government of Tamil Nadu, Chennai, Tamil Nadu, India
| | - V Prakash
- Directorate of Public Health and Preventative Medicine, Government of Tamil Nadu, Chennai, Tamil Nadu, India
| | - N Yogananth
- Directorate of Public Health and Preventative Medicine, Government of Tamil Nadu, Chennai, Tamil Nadu, India
| | - Gurunathan Subramanian
- Directorate of Public Health and Preventative Medicine, Government of Tamil Nadu, Chennai, Tamil Nadu, India
| | - A Roshini
- Directorate of Public Health and Preventative Medicine, Government of Tamil Nadu, Chennai, Tamil Nadu, India
| | - D N Dhiliban
- Directorate of Public Health and Preventative Medicine, Government of Tamil Nadu, Chennai, Tamil Nadu, India
| | - Sofia Imad
- Artha Global, Mumbai, Maharashtra, India
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13
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Prins MLM, Roozen GVT, Pothast CR, Huisman W, van Binnendijk R, den Hartog G, Kuiper VP, Prins C, Janse JJ, Lamers OAC, Koopman JPR, Kruithof AC, Kamerling IMC, Dijkland RC, de Kroon AC, Azimi S, Feltkamp MCW, Kuijer M, Jochems SP, Heemskerk MHM, Rosendaal FR, Roestenberg M, Visser LG, Roukens AHE. Immunogenicity and reactogenicity of intradermal mRNA-1273 SARS-CoV-2 vaccination: a non-inferiority, randomized-controlled trial. NPJ Vaccines 2024; 9:1. [PMID: 38167735 PMCID: PMC10761693 DOI: 10.1038/s41541-023-00785-w] [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: 09/12/2023] [Accepted: 11/15/2023] [Indexed: 01/05/2024] Open
Abstract
Fractional dosing can be a cost-effective vaccination strategy to accelerate individual and herd immunity in a pandemic. We assessed the immunogenicity and safety of primary intradermal (ID) vaccination, with a 1/5th dose compared with the standard intramuscular (IM) dose of mRNA-1273 in SARS-CoV-2 naïve persons. We conducted an open-label, non-inferiority, randomized controlled trial in the Netherlands between June and December 2021. One hundred and fifty healthy and SARS-CoV-2 naïve participants, aged 18-30 years, were randomized (1:1:1) to receive either two doses of 20 µg mRNA-1273 ID with a standard needle (SN) or the Bella-mu® needle (BM), or two doses of 100 µg IM, 28 days apart. The primary outcome was non-inferiority in seroconversion rates at day 43 (D43), defined as a neutralizing antibody concentration threshold of 465 IU/mL, the lowest response in the IM group. The non-inferiority margin was set at -15%. Neutralizing antibody concentrations at D43 were 1789 (95% CI: 1488-2150) in the IM and 1263 (951-1676) and 1295 (1020-1645) in the ID-SN and ID-BM groups, respectively. The absolute difference in seroconversion proportion between fractional and standard-dose groups was -13.95% (-24.31 to -3.60) for the ID-SN and -13.04% (-22.78 to -3.31) for the ID-BM group and exceeded the predefined non-inferiority margin. Although ID vaccination with 1/5th dose of mRNA-1273 did not meet the predefined non-inferior criteria, the neutralizing antibody concentrations in these groups are far above the proposed proxy for protection against severe disease (100 IU/mL), justifying this strategy in times of vaccine scarcity to accelerate mass protection against severe disease.
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Affiliation(s)
- Manon L M Prins
- Department of Infectious Diseases, Leiden University Medical Center, Leiden, The Netherlands
| | - Geert V T Roozen
- Department of Infectious Diseases, Leiden University Medical Center, Leiden, The Netherlands
- Department of Parasitology, Leiden University Medical Center, Leiden, The Netherlands
| | - Cilia R Pothast
- Department of Haematology, Leiden University Medical Center, Leiden, The Netherlands
| | - Wesley Huisman
- Department of Parasitology, Leiden University Medical Center, Leiden, The Netherlands
| | - Rob van Binnendijk
- Department of Immune Surveillance, National Institute for Public Health and the Environment, Bilthoven, The Netherlands
| | - Gerco den Hartog
- Department of Immune Surveillance, National Institute for Public Health and the Environment, Bilthoven, The Netherlands
- Laboratory of Medical Immunology, RadboudUMC, Nijmegen, The Netherlands
| | - Vincent P Kuiper
- Department of Parasitology, Leiden University Medical Center, Leiden, The Netherlands
| | - Corine Prins
- Department of Infectious Diseases, Leiden University Medical Center, Leiden, The Netherlands
| | - Jacqueline J Janse
- Department of Parasitology, Leiden University Medical Center, Leiden, The Netherlands
| | - Olivia A C Lamers
- Department of Parasitology, Leiden University Medical Center, Leiden, The Netherlands
| | - Jan Pieter R Koopman
- Department of Parasitology, Leiden University Medical Center, Leiden, The Netherlands
| | - Annelieke C Kruithof
- Department of Infectious Diseases, Leiden University Medical Center, Leiden, The Netherlands
- Center for Human Drug Research, Leiden, The Netherlands
| | - Ingrid M C Kamerling
- Department of Infectious Diseases, Leiden University Medical Center, Leiden, The Netherlands
- Center for Human Drug Research, Leiden, The Netherlands
| | - Romy C Dijkland
- Department of Haematology, Leiden University Medical Center, Leiden, The Netherlands
| | - Alicia C de Kroon
- Department of Parasitology, Leiden University Medical Center, Leiden, The Netherlands
| | - Shohreh Azimi
- Department of Parasitology, Leiden University Medical Center, Leiden, The Netherlands
| | - Mariet C W Feltkamp
- Department of Medical Microbiology, Leiden University Medical Center, Leiden, The Netherlands
| | - Marjan Kuijer
- Department of Immune Surveillance, National Institute for Public Health and the Environment, Bilthoven, The Netherlands
| | - Simon P Jochems
- Department of Parasitology, Leiden University Medical Center, Leiden, The Netherlands
| | - Mirjam H M Heemskerk
- Department of Haematology, Leiden University Medical Center, Leiden, The Netherlands
| | - Frits R Rosendaal
- Department of Clinical Epidemiology, Leiden University Medical Center, Leiden, The Netherlands
| | - Meta Roestenberg
- Department of Infectious Diseases, Leiden University Medical Center, Leiden, The Netherlands
- Department of Parasitology, Leiden University Medical Center, Leiden, The Netherlands
| | - Leo G Visser
- Department of Infectious Diseases, Leiden University Medical Center, Leiden, The Netherlands
| | - Anna H E Roukens
- Department of Infectious Diseases, Leiden University Medical Center, Leiden, The Netherlands.
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14
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Bolotin S, Osman S, Halperin S, Severini A, Ward BJ, Sadarangani M, Hatchette T, Pebody R, Winter A, De Melker H, Wheeler AR, Brown D, Tunis M, Crowcroft N. Immunity of Canadians and risk of epidemics workshop - Conference report. Vaccine 2023; 41:6775-6781. [PMID: 37827968 DOI: 10.1016/j.vaccine.2023.07.023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2022] [Revised: 06/07/2023] [Accepted: 07/10/2023] [Indexed: 10/14/2023]
Abstract
On November 18-19, 2019, the Immunity of Canadians and Risk of Epidemics (iCARE) Network convened a workshop in Toronto, Ontario, Canada. The objectives of the workshop were to raise the profile of sero-epidemiology in Canada, discuss best practice and methodological innovations, and strategize on the future direction of sero-epidemiology work in Canada. In this conference report, we describe the presentations and discussions from the workshop, and comment on the impact of the COVID-19 pandemic on serosurveillance initiatives, both in Canada and abroad.
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Affiliation(s)
- Shelly Bolotin
- Centre for Vaccine Preventable Diseases, University of Toronto, ON, Canada; Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada; Department of Laboratory Medicine and Pathobiology, University of Toronto, ON, Canada; Public Health Ontario, Toronto, ON, Canada.
| | | | - Scott Halperin
- Canadian Center for Vaccinology, Dalhousie University, Halifax, NS, Canada; Departments of Pediatrics and Microbiology & Immunology, Dalhousie University, Halifax, NS, Canada
| | - Alberto Severini
- National Microbiology Laboratory Branch, Public Health Agency of Canada, Winnipeg, MN, Canada; Department of Medical Microbiology and Infectious Diseases, University of Manitoba, Winnipeg, MB, Canada
| | - Brian J Ward
- Research Institute of the McGill University Health Centre, Montreal, QC, Canada
| | - Manish Sadarangani
- Vaccine Evaluation Center, BC Children's Hospital Research Institute, Vancouver, BC, Canada; Department of Pediatrics, University of British Columbia, Vancouver, BC, Canada
| | - Todd Hatchette
- Canadian Center for Vaccinology, Dalhousie University, Halifax, NS, Canada; Department of Pathology and Laboratory Medicine, Nova Scotia Health, Halifax, NS, Canada
| | | | - Amy Winter
- University of Georgia, Athens, GA, United States
| | - Hester De Melker
- National Institute for Public Health and the Environment, Bilthoven, the Netherlands
| | - Aaron R Wheeler
- Department of Chemistry, University of Toronto, Toronto, Ontario M5S 3H6, Canada; Institute of Biomedical Engineering, University of Toronto, Toronto, Ontario M5S 3G9, Canada; Donnelly Centre for Cellular and Biomolecular Research, University of Toronto, Toronto, Ontario M5S 3E1, Canada
| | - David Brown
- Virus Reference Department, UK Health Security Agency, London, United Kingdom; Laboratório de Vírus Respiratórios e do Sarampo, Instituto Oswaldo Cruz/Fiocruz, Rio de Janeiro, Brazil
| | - Matthew Tunis
- National Advisory Committee on Immunization Secretariat, Public Health Agency of Canada, Ottawa, Ontario, Canada
| | - Natasha Crowcroft
- Centre for Vaccine Preventable Diseases, University of Toronto, ON, Canada; Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada; Department of Laboratory Medicine and Pathobiology, University of Toronto, ON, Canada
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15
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Imhof C, Messchendorp L, van Baarle D, Gansevoort RT, Van Leer-Buter C, Sanders JSF. The Time-Dependent Association of Torque Teno Virus Load with the Level of SARS-CoV-2 S1 IgG Antibodies Following COVID-19 Vaccination in Kidney Transplant Recipients. Viruses 2023; 15:2189. [PMID: 38005867 PMCID: PMC10674182 DOI: 10.3390/v15112189] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2023] [Revised: 10/26/2023] [Accepted: 10/28/2023] [Indexed: 11/26/2023] Open
Abstract
Kidney transplant recipients (KTR) show an impaired humoral immune response to COVID-19 vaccination due to their immunocompromised status. Torque teno virus (TTV) is a possible marker of immune function. This marker may be helpful in predicting the immune response after COVID-19 vaccination in order to decide which vaccination strategy should be applied. We therefore investigated whether TTV load is associated with the humoral response after COVID-19 vaccination. Of the KTR who participated in two prospective vaccination studies and received two to four doses of the mRNA-1273 COVID-19 vaccine, 122 were included. TTV load was measured prior to vaccination, and S1 IgG antibody levels were measured 28 days after vaccination. TTV load was independently inversely associated with S1 IgG antibodies after COVID-19 vaccination (B: -2.19 (95% CI: -3.6--0.8), p = 0.002). Interestingly, we found a significant interaction between TTV load and time after transplantation (p = 0.005). When patients were longer after transplantation, TTV load was less predictive for S1 IgG antibody response after vaccination compared to patients that were shorter after transplantation. Our data suggest that TTV load is a good marker in predicting COVID-19 vaccination antibody response and may be helpful in selecting a strategy shortly after transplantation. However, this marker should be handled with caution longer after transplantation.
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Affiliation(s)
- Céline Imhof
- Department of Internal Medicine, Division of Nephrology, University Medical Center Groningen, 9713 GZ Groningen, The Netherlands
| | - Lianne Messchendorp
- Department of Internal Medicine, Division of Nephrology, University Medical Center Groningen, 9713 GZ Groningen, The Netherlands
| | - Debbie van Baarle
- Department of Medical Microbiology and Infection Prevention, University Medical Center Groningen, 9713 GZ Groningen, The Netherlands
| | - Ron T. Gansevoort
- Department of Internal Medicine, Division of Nephrology, University Medical Center Groningen, 9713 GZ Groningen, The Netherlands
| | - Coretta Van Leer-Buter
- Department of Medical Microbiology and Infection Prevention, University Medical Center Groningen, 9713 GZ Groningen, The Netherlands
| | - Jan-Stephan F. Sanders
- Department of Internal Medicine, Division of Nephrology, University Medical Center Groningen, 9713 GZ Groningen, The Netherlands
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16
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den Hartog G, Andeweg SP, Hoeve CE, Smits G, Voordouw B, Eggink D, Knol MJ, van Binnendijk RS. Assessment of hybrid population immunity to SARS-CoV-2 following breakthrough infections of distinct SARS-CoV-2 variants by the detection of antibodies to nucleoprotein. Sci Rep 2023; 13:18394. [PMID: 37884642 PMCID: PMC10603038 DOI: 10.1038/s41598-023-45718-8] [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: 06/08/2023] [Accepted: 10/23/2023] [Indexed: 10/28/2023] Open
Abstract
Immunity induced by vaccination and infection, referred to as hybrid immunity, provides better protection against SARS-CoV-2 infections compared to immunity induced by vaccinations alone. To assess the development of hybrid immunity we investigated the induction of Nucleoprotein-specific antibodies in PCR-confirmed infections by Delta or Omicron in vaccinated individuals (n = 520). Eighty-two percent of the participants with a breakthrough infection reached N-seropositivity. N-seropositivity was accompanied by Spike S1 antibody boosting, and independent of vaccination status or virus variant. Following the infection relatively more antibodies to the infecting virus variant were detected. In conclusion, these data show that hybrid immunity through breakthrough infections is hallmarked by Nucleoprotein antibodies and broadening of the Spike antibody repertoire. Exposure to future SARS-CoV-2 variants may therefore continue to maintain and broaden vaccine-induced population immunity.
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Affiliation(s)
- Gerco den Hartog
- Centre for Immunology of Infectious Diseases and Vaccines, Centre for Infectious Disease Control, National Institute for Public Health and the Environment, Bilthoven, The Netherlands
- Laboratory of Medical Immunology, Radboud Institute for Molecular Life Sciences, Radboudumc, Nijmegen, The Netherlands
| | - Stijn P Andeweg
- Centre for Infectious Diseases, Epidemiology and Surveillance, Centre for Infectious Disease Control, National Institute for Public Health and the Environment, Bilthoven, The Netherlands
| | - Christina E Hoeve
- Centre for Infectious Diseases, Epidemiology and Surveillance, Centre for Infectious Disease Control, National Institute for Public Health and the Environment, Bilthoven, The Netherlands
| | - Gaby Smits
- Centre for Immunology of Infectious Diseases and Vaccines, Centre for Infectious Disease Control, National Institute for Public Health and the Environment, Bilthoven, The Netherlands
| | - Bettie Voordouw
- Centre for Infectious Diseases Research, Diagnostics and Laboratory Surveillance, Centre for Infectious Disease Control, National Institute for Public Health and the Environment, Bilthoven, The Netherlands
| | - Dirk Eggink
- Centre for Infectious Diseases Research, Diagnostics and Laboratory Surveillance, Centre for Infectious Disease Control, National Institute for Public Health and the Environment, Bilthoven, The Netherlands
| | - Mirjam J Knol
- Centre for Infectious Diseases, Epidemiology and Surveillance, Centre for Infectious Disease Control, National Institute for Public Health and the Environment, Bilthoven, The Netherlands
| | - Robert S van Binnendijk
- Centre for Immunology of Infectious Diseases and Vaccines, Centre for Infectious Disease Control, National Institute for Public Health and the Environment, Bilthoven, The Netherlands.
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17
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Nill F. Endemic oscillations for SARS-CoV-2 Omicron-A SIRS model analysis. CHAOS, SOLITONS, AND FRACTALS 2023; 173:113678. [PMID: 37351485 PMCID: PMC10272968 DOI: 10.1016/j.chaos.2023.113678] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/04/2023] [Revised: 06/01/2023] [Accepted: 06/06/2023] [Indexed: 06/24/2023]
Abstract
The SIRS model with constant vaccination and immunity waning rates is well known to show a transition from a disease-free to an endemic equilibrium as the basic reproduction number r 0 is raised above threshold. It is shown that this model maps to Hethcote's classic endemic model originally published in 1973. In this way one obtains unifying formulas for a whole class of models showing endemic bifurcation. In particular, if the vaccination rate is smaller than the recovery rate and r - < r 0 < r + for certain upper and lower bounds r ± , then trajectories spiral into the endemic equilibrium via damped infection waves. Latest data of the SARS-CoV-2 Omicron variant suggest that according to this simplified model continuous vaccination programs will not be capable to escape the oscillating endemic phase. However, in view of the strong damping factors predicted by the model, in reality these oscillations will certainly be overruled by time-dependent contact behaviors.
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Affiliation(s)
- Florian Nill
- Department of Physics, Free University Berlin, Arnimallee 14, 14195 Berlin, Germany
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18
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den Hartog Y, Malahe SRK, Rietdijk WJR, Dieterich M, Gommers L, Geers D, Bogers S, van Baarle D, Diavatopoulos DA, Messchendorp AL, van der Molen RG, Remmerswaal EBM, Bemelman FJ, Gansevoort RT, Hilbrands LB, Sanders JS, GeurtsvanKessel CH, Kho MML, Reinders MEJ, de Vries RD, Baan CC. Th 1-dominant cytokine responses in kidney patients after COVID-19 vaccination are associated with poor humoral responses. NPJ Vaccines 2023; 8:70. [PMID: 37198189 DOI: 10.1038/s41541-023-00664-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2022] [Accepted: 04/25/2023] [Indexed: 05/19/2023] Open
Abstract
Cytokines are regulators of the immune response against severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2). However, the contribution of cytokine-secreting CD4+ and CD8+ memory T cells to the SARS-CoV-2-specific humoral immune response in immunocompromised kidney patients is unknown. Here, we profiled 12 cytokines after stimulation of whole blood obtained 28 days post second 100 μg mRNA-1273 vaccination with peptides covering the SARS-CoV-2 spike (S)-protein from patients with chronic kidney disease (CKD) stage 4/5, on dialysis, kidney transplant recipients (KTR), and healthy controls. Unsupervised hierarchical clustering analysis revealed two distinct vaccine-induced cytokine profiles. The first profile was characterized by high levels of T-helper (Th)1 (IL-2, TNF-α, and IFN-γ) and Th2 (IL-4, IL-5, IL-13) cytokines, and low levels of Th17 (IL-17A, IL-22) and Th9 (IL-9) cytokines. This cluster was dominated by patients with CKD, on dialysis, and healthy controls. In contrast, the second cytokine profile contained predominantly KTRs producing mainly Th1 cytokines upon re-stimulation, with lower levels or absence of Th2, Th17, and Th9 cytokines. Multivariate analyses indicated that a balanced memory T cell response with the production of Th1 and Th2 cytokines was associated with high levels of S1-specific binding and neutralizing antibodies mainly at 6 months after second vaccination. In conclusion, seroconversion is associated with the balanced production of cytokines by memory T cells. This emphasizes the importance of measuring multiple T cell cytokines to understand their influence on seroconversion and potentially gain more information about the protection induced by vaccine-induced memory T cells.
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Affiliation(s)
- Yvette den Hartog
- Department of Internal Medicine, Nephrology and Transplantation, Erasmus MC Transplant Institute, University Medical Center, Rotterdam, The Netherlands
| | - S Reshwan K Malahe
- Department of Internal Medicine, Nephrology and Transplantation, Erasmus MC Transplant Institute, University Medical Center, Rotterdam, The Netherlands
| | - Wim J R Rietdijk
- Department of Hospital Pharmacy, University Medical Center, Rotterdam, The Netherlands
| | - Marjolein Dieterich
- Department of Internal Medicine, Nephrology and Transplantation, Erasmus MC Transplant Institute, University Medical Center, Rotterdam, The Netherlands
| | - Lennert Gommers
- Department of Viroscience, University Medical Center, Rotterdam, The Netherlands
| | - Daryl Geers
- Department of Viroscience, University Medical Center, Rotterdam, The Netherlands
| | - Susanne Bogers
- Department of Viroscience, University Medical Center, Rotterdam, The Netherlands
| | - Debbie van Baarle
- Department of Medical Microbiology and Infection Prevention, University Medical Center Groningen, Groningen, The Netherlands
- Center for Infectious Disease Control, National Institute for Public Health and the Environment, Bilthoven, The Netherlands
| | - Dimitri A Diavatopoulos
- Radboud Institute for Molecular Life Sciences, Department of Laboratory Medicine, Laboratory of Medical Immunology, Radboud University Medical Center Nijmegen, Nijmegen, The Netherlands
- Radboud Center for Infectious Diseases, Radboud University Medical Center Nijmegen, Nijmegen, The Netherlands
| | - A Lianne Messchendorp
- Department of Internal Medicine, Division of Nephrology, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - Renate G van der Molen
- Radboud Institute for Molecular Life Sciences, Department of Laboratory Medicine, Laboratory of Medical Immunology, Radboud University Medical Center Nijmegen, Nijmegen, The Netherlands
| | - Ester B M Remmerswaal
- Department of Experimental Immunology, Amsterdam Infection and Immunity Institute, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
| | - Frederike J Bemelman
- Renal Transplant Unit, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
| | - Ron T Gansevoort
- Department of Internal Medicine, Division of Nephrology, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - Luuk B Hilbrands
- Department of Nephrology, Radboud University Medical Center, Radboud Institute for Health Sciences, Nijmegen, The Netherlands
| | - Jan-Stephan Sanders
- Department of Internal Medicine, Division of Nephrology, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | | | - Marcia M L Kho
- Department of Internal Medicine, Nephrology and Transplantation, Erasmus MC Transplant Institute, University Medical Center, Rotterdam, The Netherlands
| | - Marlies E J Reinders
- Department of Internal Medicine, Nephrology and Transplantation, Erasmus MC Transplant Institute, University Medical Center, Rotterdam, The Netherlands
| | - Rory D de Vries
- Department of Viroscience, University Medical Center, Rotterdam, The Netherlands
| | - Carla C Baan
- Department of Internal Medicine, Nephrology and Transplantation, Erasmus MC Transplant Institute, University Medical Center, Rotterdam, The Netherlands.
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19
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Kho MML, Messchendorp AL, Frölke SC, Imhof C, Koomen VJCH, Malahe SRK, Vart P, Geers D, de Vries RD, GeurtsvanKessel CH, Baan CC, van der Molen RG, Diavatopoulos DA, Remmerswaal EBM, van Baarle D, van Binnendijk R, den Hartog G, de Vries APJ, Gansevoort RT, Bemelman FJ, Reinders MEJ, Sanders JSF, Hilbrands LB, Baas MC, Bouwmans P, ten Dam MA, Gommers L, Standaar D, van der Heiden M, Adema YM, Boer-Verschragen MJ, Mattheussens WB, Philipsen RH, van Mourik D, Bogers S, van Dijk LL, Rots N, Smits G, Kuijer M, Hemmelder MH. Alternative strategies to increase the immunogenicity of COVID-19 vaccines in kidney transplant recipients not responding to two or three doses of an mRNA vaccine (RECOVAC): a randomised clinical trial. THE LANCET. INFECTIOUS DISEASES 2023; 23:307-319. [PMID: 36354032 PMCID: PMC9760034 DOI: 10.1016/s1473-3099(22)00650-8] [Citation(s) in RCA: 32] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/28/2022] [Revised: 09/11/2022] [Accepted: 09/12/2022] [Indexed: 11/06/2022]
Abstract
BACKGROUND An urgent need exists to improve the suboptimal COVID-19 vaccine response in kidney transplant recipients (KTRs). We aimed to compare three alternative strategies with a control single dose mRNA-1273 vaccination: a double vaccine dose, heterologous vaccination, and temporary discontinuation of mycophenolate mofetil or mycophenolic acid. METHODS This open-label randomised trial, done in four university medical centres in the Netherlands, enrolled KTRs without seroconversion after two or three doses of an mRNA vaccine. Between Oct 20, 2021, and Feb 2, 2022, 230 KTRs were randomly assigned block-wise per centre by a web-based system in a 1:1:1 manner to receive 100 μg mRNA-1273, 2 × 100 μg mRNA-1273, or Ad26.COV2-S vaccination. In addition, 103 KTRs receiving 100 μg mRNA-1273, were randomly assigned 1:1 to continue (mycophenolate mofetil+) or discontinue (mycophenolate mofetil-) mycophenolate mofetil or mycophenolic acid treatment for 2 weeks. The primary outcome was the percentage of participants with a spike protein (S1)-specific IgG concentration of at least 10 binding antibody units per mL at 28 days after vaccination, assessed in all participants who had a baseline measurement and who completed day 28 after vaccination without SARS-CoV-2 infection. Safety was assessed as a secondary outcome in all vaccinated patients by incidence of solicited adverse events, acute rejection or other serious adverse events. This trial is registered with ClinicalTrials.gov, NCT05030974 and is closed. FINDINGS Between April 23, 2021, and July 2, 2021, of 12 158 invited Dutch KTRs, 3828 with a functioning kidney transplant participated in a national survey for antibody measurement after COVID-19 vaccination. Of these patients, 1311 did not seroconvert after their second vaccination and another 761 not even after a third. From these seronegative patients, 345 agreed to participate in our repeated vaccination study. Vaccination with 2 × mRNA-1273 or Ad26.COV2-S was not superior to single mRNA-1273, with seroresponse rates of 49 (68%) of 72 (95% CI 56-79), 46 (63%) of 73 (51-74), and 50 (68%) of 73 (57-79), respectively. The difference with single mRNA-1273 was -0·4% (-16 to 15; p=0·96) for 2 × mRNA-1273 and -6% (-21 to 10; p=0·49) for Ad26.COV2-S. Mycophenolate mofetil- was also not superior to mycophenolate mofetil+, with seroresponse rates of 37 (80%) of 46 (66-91) and 31 (67%) of 46 (52-80), and a difference of 13% (-5 to 31; p=0·15). Local adverse events were more frequent after a single and double dose of mRNA-1273 than after Ad26.COV2-S (65 [92%] of 71, 67 [92%] of 73, and 38 [50%] of 76, respectively; p<0·0001). No acute rejection occurred. There were no serious adverse events related to vaccination. INTERPRETATION Repeated vaccination increases SARS-CoV-2-specific antibodies in KTRs, without further enhancement by use of a higher dose, a heterologous vaccine, or 2 weeks discontinuation of mycophenolate mofetil or mycophenolic acid. To achieve a stronger response, possibly required to neutralise new virus variants, repeated booster vaccination is needed. FUNDING The Netherlands Organization for Health Research and Development and the Dutch Kidney Foundation.
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Affiliation(s)
- Marcia M L Kho
- Department of Internal Medicine, Nephrology and Transplantation, Erasmus MC Transplant Institute, Erasmus Medical Center, Rotterdam, Netherlands
| | - A Lianne Messchendorp
- Department of Internal Medicine, Division of Nephrology, University of Groningen, University Medical Center Groningen, Groningen, Netherlands
| | - Sophie C Frölke
- Renal Transplant Unit, Amsterdam UMC, University of Amsterdam, Amsterdam, Netherlands
| | - Celine Imhof
- Department of Internal Medicine, Division of Nephrology, University of Groningen, University Medical Center Groningen, Groningen, Netherlands,Department of Medical Microbiology and Infection Prevention, University of Groningen, University Medical Center Groningen, Groningen, Netherlands
| | - Vera JCH Koomen
- Department of Nephrology, Radboud University Medical Center Nijmegen, Nijmegen, Netherlands
| | - S Reshwan K Malahe
- Department of Internal Medicine, Nephrology and Transplantation, Erasmus MC Transplant Institute, Erasmus Medical Center, Rotterdam, Netherlands
| | - Priya Vart
- Department of Internal Medicine, Division of Nephrology, University of Groningen, University Medical Center Groningen, Groningen, Netherlands
| | - Daryl Geers
- Department Viroscience, Erasmus MC Transplant Institute, Erasmus Medical Center, Rotterdam, Netherlands
| | - Rory D de Vries
- Department of Internal Medicine, Nephrology and Transplantation, Erasmus MC Transplant Institute, Erasmus Medical Center, Rotterdam, Netherlands
| | - Corine H GeurtsvanKessel
- Department Viroscience, Erasmus MC Transplant Institute, Erasmus Medical Center, Rotterdam, Netherlands
| | - Carla C Baan
- Department of Internal Medicine, Nephrology and Transplantation, Erasmus MC Transplant Institute, Erasmus Medical Center, Rotterdam, Netherlands
| | - Renate G van der Molen
- Radboud Institute for Molecular Life Sciences, Department of Laboratory Medicine, Laboratory of Medical Immunology, Radboud University Medical Center Nijmegen, Nijmegen, Netherlands
| | - Dimitri A Diavatopoulos
- Radboud Institute for Molecular Life Sciences, Department of Laboratory Medicine, Laboratory of Medical Immunology, Radboud University Medical Center Nijmegen, Nijmegen, Netherlands,Radboud Center for Infectious Diseases, Radboud University Medical Center Nijmegen, Nijmegen, Netherlands
| | - Ester B M Remmerswaal
- Department of Experimental Immunology, Amsterdam Infection and Immunity Institute, University of Amsterdam, Amsterdam, Netherlands
| | - Debbie van Baarle
- Department of Medical Microbiology and Infection Prevention, University of Groningen, University Medical Center Groningen, Groningen, Netherlands,Center for Infectious Disease Control, National Institute for Public Health and the Environment, Bilthoven, Netherlands
| | - Rob van Binnendijk
- Center for Infectious Disease Control, National Institute for Public Health and the Environment, Bilthoven, Netherlands
| | - Gerco den Hartog
- Center for Infectious Disease Control, National Institute for Public Health and the Environment, Bilthoven, Netherlands
| | - Aiko P J de Vries
- Department Viroscience, Erasmus MC Transplant Institute, Erasmus Medical Center, Rotterdam, Netherlands,Department of Nephrology, Leiden University Medical Center, Leiden, Netherlands
| | - Ron T Gansevoort
- Department of Internal Medicine, Division of Nephrology, University of Groningen, University Medical Center Groningen, Groningen, Netherlands
| | - Frederike J Bemelman
- Renal Transplant Unit, Amsterdam UMC, University of Amsterdam, Amsterdam, Netherlands
| | - Marlies E J Reinders
- Department of Internal Medicine, Nephrology and Transplantation, Erasmus MC Transplant Institute, Erasmus Medical Center, Rotterdam, Netherlands
| | - Jan-Stephan F Sanders
- Department of Internal Medicine, Division of Nephrology, University of Groningen, University Medical Center Groningen, Groningen, Netherlands
| | - Luuk B Hilbrands
- Department of Nephrology, Radboud University Medical Center Nijmegen, Nijmegen, Netherlands.
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20
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Sanders JSF, Messchendorp AL, de Vries RD, Baan CC, van Baarle D, van Binnendijk R, Diavatopoulos DA, Geers D, Schmitz KS, GeurtsvanKessel CH, den Hartog G, Kho MML, Koopmans MPG, van der Molen RG, Remmerswaal EBM, Rots N, Gansevoort RT, Bemelman FJ, Hilbrands LB, Reinders MEJ. Antibody and T-Cell Responses 6 Months After Coronavirus Disease 2019 Messenger RNA-1273 Vaccination in Patients With Chronic Kidney Disease, on Dialysis, or Living With a Kidney Transplant. Clin Infect Dis 2023; 76:e188-e199. [PMID: 35796536 PMCID: PMC9278186 DOI: 10.1093/cid/ciac557] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2022] [Revised: 06/23/2022] [Accepted: 06/30/2022] [Indexed: 11/15/2022] Open
Abstract
BACKGROUND The immune response to COVID-19 vaccination is inferior in kidney transplant recipients (KTRs) and to a lesser extent in patients on dialysis or with chronic kidney disease (CKD). We assessed the immune response 6 months after mRNA-1273 vaccination in kidney patients and compared this to controls. METHODS A total of 152 participants with CKD stages G4/5 (eGFR <30 mL/min/1.73 m2), 145 participants on dialysis, 267 KTRs, and 181 controls were included. SARS-CoV-2 Spike S1 specific IgG antibodies were measured using fluorescent bead-based multiplex-immunoassay, neutralizing antibodies to ancestral, Delta, and Omicron (BA.1) variants by plaque reduction, and T-cell responses by interferon-γ release assay. RESULTS At 6 months after vaccination, S1-specific antibodies were detected in 100% of controls, 98.7% of CKD G4/5 patients, 95.1% of dialysis patients, and 56.6% of KTRs. These figures were comparable to the response rates at 28 days, but antibody levels waned significantly. Neutralization of the ancestral and Delta variants was detected in most participants, whereas neutralization of Omicron was mostly absent. S-specific T-cell responses were detected at 6 months in 75.0% of controls, 69.4% of CKD G4/5 patients, 52.6% of dialysis patients, and 12.9% of KTRs. T-cell responses at 6 months were significantly lower than responses at 28 days. CONCLUSIONS Although seropositivity rates at 6 months were comparable to rates at 28 days after vaccination, significantly decreased antibody levels and T-cell responses were observed. The combination of low antibody levels, reduced T-cell responses, and absent neutralization of the newly emerging variants indicates the need for additional boosts or alternative vaccination strategies in KTRs. CLINICAL TRIALS REGISTRATION NCT04741386.
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Affiliation(s)
- Jan-Stephan F Sanders
- Department of Internal Medicine, Division of Nephrology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - A Lianne Messchendorp
- Department of Internal Medicine, Division of Nephrology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Rory D de Vries
- Department of Viroscience, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Carla C Baan
- Department of Internal Medicine, Nephrology and Transplantation, Erasmus MC Transplant Institute, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Debbie van Baarle
- Department of Medical Microbiology and Infection Prevention, University Medical Center Groningen, Groningen, The Netherlands
- Center for Infectious Disease Control, National Institute for Public Health and the Environment, Bilthoven, The Netherlands
| | - Rob van Binnendijk
- Center for Infectious Disease Control, National Institute for Public Health and the Environment, Bilthoven, The Netherlands
| | - Dimitri A Diavatopoulos
- Radboud Center for Infectious Diseases, Radboud University Medical Center Nijmegen, Nijmegen, The Netherlands
- Department of Laboratory Medicine, Laboratory of Medical Immunology, Radboud Institute for Molecular Life Sciences, Radboud University Medical Center Nijmegen, Nijmegen, The Netherlands
| | - Daryl Geers
- Department of Viroscience, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Katharina S Schmitz
- Department of Viroscience, Erasmus Medical Center, Rotterdam, The Netherlands
| | | | - Gerco den Hartog
- Center for Infectious Disease Control, National Institute for Public Health and the Environment, Bilthoven, The Netherlands
| | - Marcia M L Kho
- Department of Internal Medicine, Nephrology and Transplantation, Erasmus MC Transplant Institute, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Marion P G Koopmans
- Department of Viroscience, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Renate G van der Molen
- Department of Laboratory Medicine, Laboratory of Medical Immunology, Radboud Institute for Molecular Life Sciences, Radboud University Medical Center Nijmegen, Nijmegen, The Netherlands
| | - Ester B M Remmerswaal
- Department of Experimental Immunology, Amsterdam Infection and Immunity Institute, Amsterdam University Medical Center, University of Amsterdam, Amsterdam, The Netherlands
| | - Nynke Rots
- Center for Infectious Disease Control, National Institute for Public Health and the Environment, Bilthoven, The Netherlands
| | - Ron T Gansevoort
- Department of Internal Medicine, Division of Nephrology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Frederike J Bemelman
- Renal Transplant Unit, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
| | - Luuk B Hilbrands
- Department of Nephrology, Radboud University Medical Center, Radboud Institute for Health Sciences, Nijmegen, The Netherlands
| | - Marlies E J Reinders
- Department of Internal Medicine, Nephrology and Transplantation, Erasmus MC Transplant Institute, Erasmus Medical Center, Rotterdam, The Netherlands
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Liang X, Sun R, Wang J, Zhou K, Li J, Chen S, Lyu M, Li S, Xue Z, Shi Y, Xie Y, Zhang Q, Yi X, Pan J, Wang D, Xu J, Zhu H, Zhu G, Zhu J, Zhu Y, Zheng Y, Shen B, Guo T. Proteomics Investigation of Diverse Serological Patterns in COVID-19. Mol Cell Proteomics 2023; 22:100493. [PMID: 36621767 PMCID: PMC9814280 DOI: 10.1016/j.mcpro.2023.100493] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2022] [Revised: 11/23/2022] [Accepted: 01/03/2023] [Indexed: 01/07/2023] Open
Abstract
Serum antibodies IgM and IgG are elevated during Coronavirus Disease 2019 (COVID-19) to defend against viral attacks. Atypical results such as negative and abnormally high antibody expression were frequently observed whereas the underlying molecular mechanisms are elusive. In our cohort of 144 COVID-19 patients, 3.5% were both IgM and IgG negative, whereas 29.2% remained only IgM negative. The remaining patients exhibited positive IgM and IgG expression, with 9.3% of them exhibiting over 20-fold higher titers of IgM than the others at their plateau. IgG titers in all of them were significantly boosted after vaccination in the second year. To investigate the underlying molecular mechanisms, we classed the patients into four groups with diverse serological patterns and analyzed their 2-year clinical indicators. Additionally, we collected 111 serum samples for TMTpro-based longitudinal proteomic profiling and characterized 1494 proteins in total. We found that the continuously negative IgM and IgG expression during COVID-19 were associated with mild inflammatory reactions and high T cell responses. Low levels of serum IgD, inferior complement 1 activation of complement cascades, and insufficient cellular immune responses might collectively lead to compensatory serological responses, causing overexpression of IgM. Serum CD163 was positively correlated with antibody titers during seroconversion. This study suggests that patients with negative serology still developed cellular immunity for viral defense and that high titers of IgM might not be favorable to COVID-19 recovery.
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Affiliation(s)
- Xiao Liang
- Fudan University, Shanghai, China; Key Laboratory of Structural Biology of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou, Zhejiang, China; Center for Infectious Disease Research, Westlake Laboratory of Life Sciences and Biomedicine, Hangzhou, Zhejiang, China; Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, Hangzhou, Zhejiang, China
| | - Rui Sun
- Key Laboratory of Structural Biology of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou, Zhejiang, China; Center for Infectious Disease Research, Westlake Laboratory of Life Sciences and Biomedicine, Hangzhou, Zhejiang, China; Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, Hangzhou, Zhejiang, China
| | - Jing Wang
- Taizhou Hospital of Zhejiang Province affiliated to Wenzhou Medical University, Linhai, Zhejiang, China
| | - Kai Zhou
- Taizhou Hospital of Zhejiang Province affiliated to Wenzhou Medical University, Linhai, Zhejiang, China
| | - Jun Li
- Taizhou Hospital of Zhejiang Province affiliated to Wenzhou Medical University, Linhai, Zhejiang, China
| | - Shiyong Chen
- Taizhou Hospital of Zhejiang Province affiliated to Wenzhou Medical University, Linhai, Zhejiang, China
| | - Mengge Lyu
- Key Laboratory of Structural Biology of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou, Zhejiang, China; Center for Infectious Disease Research, Westlake Laboratory of Life Sciences and Biomedicine, Hangzhou, Zhejiang, China; Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, Hangzhou, Zhejiang, China
| | - Sainan Li
- Key Laboratory of Structural Biology of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou, Zhejiang, China; Center for Infectious Disease Research, Westlake Laboratory of Life Sciences and Biomedicine, Hangzhou, Zhejiang, China; Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, Hangzhou, Zhejiang, China
| | - Zhangzhi Xue
- Key Laboratory of Structural Biology of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou, Zhejiang, China; Center for Infectious Disease Research, Westlake Laboratory of Life Sciences and Biomedicine, Hangzhou, Zhejiang, China; Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, Hangzhou, Zhejiang, China
| | - Yingqiu Shi
- Key Laboratory of Structural Biology of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou, Zhejiang, China; Center for Infectious Disease Research, Westlake Laboratory of Life Sciences and Biomedicine, Hangzhou, Zhejiang, China; Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, Hangzhou, Zhejiang, China
| | - Yuting Xie
- Key Laboratory of Structural Biology of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou, Zhejiang, China; Center for Infectious Disease Research, Westlake Laboratory of Life Sciences and Biomedicine, Hangzhou, Zhejiang, China; Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, Hangzhou, Zhejiang, China
| | - Qiushi Zhang
- Westlake Omics (Hangzhou) Biotechnology Co., Ltd, Hangzhou, Zhejiang, China
| | - Xiao Yi
- Westlake Omics (Hangzhou) Biotechnology Co., Ltd, Hangzhou, Zhejiang, China
| | - Juan Pan
- Taizhou Hospital of Zhejiang Province affiliated to Wenzhou Medical University, Linhai, Zhejiang, China
| | - Donglian Wang
- Taizhou Hospital of Zhejiang Province affiliated to Wenzhou Medical University, Linhai, Zhejiang, China
| | - Jiaqin Xu
- Taizhou Hospital of Zhejiang Province affiliated to Wenzhou Medical University, Linhai, Zhejiang, China
| | - Hongguo Zhu
- Taizhou Hospital of Zhejiang Province affiliated to Wenzhou Medical University, Linhai, Zhejiang, China
| | - Guangjun Zhu
- Taizhou Hospital of Zhejiang Province affiliated to Wenzhou Medical University, Linhai, Zhejiang, China
| | - Jiansheng Zhu
- Taizhou Hospital of Zhejiang Province affiliated to Wenzhou Medical University, Linhai, Zhejiang, China
| | - Yi Zhu
- Key Laboratory of Structural Biology of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou, Zhejiang, China; Center for Infectious Disease Research, Westlake Laboratory of Life Sciences and Biomedicine, Hangzhou, Zhejiang, China; Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, Hangzhou, Zhejiang, China; Westlake Omics (Hangzhou) Biotechnology Co., Ltd, Hangzhou, Zhejiang, China
| | - Yufen Zheng
- Taizhou Hospital of Zhejiang Province affiliated to Wenzhou Medical University, Linhai, Zhejiang, China.
| | - Bo Shen
- Taizhou Hospital of Zhejiang Province affiliated to Wenzhou Medical University, Linhai, Zhejiang, China.
| | - Tiannan Guo
- Fudan University, Shanghai, China; Key Laboratory of Structural Biology of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou, Zhejiang, China; Center for Infectious Disease Research, Westlake Laboratory of Life Sciences and Biomedicine, Hangzhou, Zhejiang, China; Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, Hangzhou, Zhejiang, China.
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Evaluating Johnson and Johnson COVID-19 Vaccination Outcomes in a Low-Income Hispanic Population. Vaccines (Basel) 2023; 11:vaccines11010148. [PMID: 36679993 PMCID: PMC9865710 DOI: 10.3390/vaccines11010148] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2022] [Revised: 01/04/2023] [Accepted: 01/06/2023] [Indexed: 01/12/2023] Open
Abstract
BACKGROUND A pilot study was performed at a low-income emergency care clinic to assess the humoral immune response to the Johnson & Johnson (J&J) COVID-19 vaccine (Ad26.COV2.S) to better understand how to evaluate the COVID-19 health status of its Hispanic patient population following vaccination. METHODS This study used the Clungene® SARS-CoV-2 IgG/IgM Rapid Test Cassette to determine the presence of binding antibodies resulting from the J&J COVID-19 vaccine. The Clungene test principle is based on the receptor-binding domain (RBD) of the spike protein. Antibodies targeting the spike protein are considered an appropriate measure of humoral response from spike-based vaccines. RESULTS The study confirmed previous research that antibodies wane over time, and results are consistent with reported vaccine efficacy. There was a statistically significant relationship between the humoral immune response and demographic and health status variables. CONCLUSIONS COVID-19 negative patients can be easily and efficiently monitored to determine the success and durability of COVID-19 vaccines in low-income minority populations. The use of simple low-cost spike targeted COVID-19 antibody lateral flow devices may serve as a useful adjunct to assist community-based physicians on the COVID-19 health status of its patients. Further research is needed to confirm the utility of this approach.
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Liu WD, Wang JT, Chao TL, Ieong SM, Tsai YM, Kuo PH, Tsai MJ, Chen YJ, Li GC, Ho SY, Chen HH, Huang YS, Hung CC, Chen YC, Chang SY, Chang SC. Evolution of neutralizing antibodies and cross-activity against different variants of SARS-CoV-2 in patients recovering from COVID-19. J Formos Med Assoc 2022:S0929-6646(22)00436-3. [PMID: 36496300 PMCID: PMC9705194 DOI: 10.1016/j.jfma.2022.11.015] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2022] [Revised: 11/17/2022] [Accepted: 11/22/2022] [Indexed: 11/30/2022]
Abstract
BACKGROUND Patients recovering from COVID-19 may need vaccination against SARS-CoV-2 because acquired immunity from primary infection may wane, given the emergence of new SARS-CoV-2 variants. Understanding the trends of anti-spike IgG and neutralizing antibody titers in patients recovering from COVID-19 may inform the decision made on the appropriate interval between recovery and vaccination. METHODS Participants aged 20 years or older and diagnosed with COVID-19 between January and December, 2020 were enrolled. Serum specimens were collected every three months from 10 days to 12 months after the onset of symptom for determinations of anti-spike IgG and neutralizing antibody titers against SARS-CoV-2 Wuhan strain with D614G mutation, alpha, gamma and delta variants. RESULTS Of 19 participants, we found a decreasing trend of geometric mean titers of anti-spike IgG from 560.9 to 217 and 92 BAU/mL after a 4-month and a 7-month follow-up, respectively. The anti-spike IgG titers declined more quickly in the ten participants with severe or critical disease than the nine participants with only mild to moderate disease between one month and seven months after SARS-CoV-2 infection (-8.49 vs - 2.34-fold, p < 0.001). The neutralizing activity of the convalescent serum specimens collected from participants recovering from wild-type SARS-CoV-2 infection against different variants was lower, especially against the delta variants (p < 0.01 for each variant with Wuhan strain as reference). CONCLUSION Acquired immunity from primary infection with SARS-CoV-2 waned within 4-7 months in COVID-19 patients, and neutralizing cross-activities against different SARS-CoV-2 variants were lower compared with those against wild-type strain.
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Affiliation(s)
- Wang-Da Liu
- Department of Internal Medicine, National Taiwan University Hospital and National Taiwan University College of Medicine, Taipei, Taiwan,Department of Medicine, National Taiwan University Cancer Center, Taipei, Taiwan
| | - Jann-Tay Wang
- Department of Internal Medicine, National Taiwan University Hospital and National Taiwan University College of Medicine, Taipei, Taiwan,Institute of Infectious Diseases and Vaccinology, National Health Research Institutes, Zhunan, Taiwan,Corresponding author. Department of Internal Medicine, National Taiwan University Hospital, 7 Chung-Shan South Rd., Taipei City 10002, Taiwan
| | - Tai-Ling Chao
- Department of Clinical Laboratory Sciences and Medical Biotechnology, National Taiwan University College of Medicine, Taipei, Taiwan
| | - Si-Man Ieong
- Department of Clinical Laboratory Sciences and Medical Biotechnology, National Taiwan University College of Medicine, Taipei, Taiwan
| | - Ya-Min Tsai
- Department of Clinical Laboratory Sciences and Medical Biotechnology, National Taiwan University College of Medicine, Taipei, Taiwan
| | - Po-Hsien Kuo
- Department of Internal Medicine, National Taiwan University Hospital Biomedical Park Hospital, Hsinchu, Taiwan
| | - Ming-Jui Tsai
- Department of Internal Medicine, National Taiwan University Hospital Yun-Lin Branch, Yun-Lin County, Taiwan
| | - Yi-Jie Chen
- Department of Internal Medicine, National Taiwan University Hospital and National Taiwan University College of Medicine, Taipei, Taiwan
| | - Guei-Chi Li
- Department of Internal Medicine, National Taiwan University Hospital and National Taiwan University College of Medicine, Taipei, Taiwan
| | - Shu-Yuan Ho
- Department of Laboratory Medicine, National Taiwan University Hospital and National Taiwan University College of Medicine, Taipei, Taiwan
| | - Hui-Hou Chen
- Department of Laboratory Medicine, National Taiwan University Hospital and National Taiwan University College of Medicine, Taipei, Taiwan
| | - Yu-Shan Huang
- Department of Internal Medicine, National Taiwan University Hospital and National Taiwan University College of Medicine, Taipei, Taiwan
| | - Chien-Ching Hung
- Department of Internal Medicine, National Taiwan University Hospital and National Taiwan University College of Medicine, Taipei, Taiwan,Department of Internal Medicine, National Taiwan University Hospital Yun-Lin Branch, Yun-Lin County, Taiwan,Department of Tropical Medicine and Parasitology, National Taiwan University College of Medicine, Taipei, Taiwan
| | - Yee-Chun Chen
- Department of Internal Medicine, National Taiwan University Hospital and National Taiwan University College of Medicine, Taipei, Taiwan,Center of Infection Control, National Taiwan University Hospital, Taipei, Taiwan
| | - Sui-Yuan Chang
- Department of Clinical Laboratory Sciences and Medical Biotechnology, National Taiwan University College of Medicine, Taipei, Taiwan,Department of Laboratory Medicine, National Taiwan University Hospital and National Taiwan University College of Medicine, Taipei, Taiwan,Corresponding author. Department of Laboratory Medicine, National Taiwan University Hospital, 7 Chung-Shan South Rd., Taipei City 10002, Taiwan
| | - Shan-Chwen Chang
- Department of Internal Medicine, National Taiwan University Hospital and National Taiwan University College of Medicine, Taipei, Taiwan,School of Medicine, National Taiwan University College of Medicine, Taipei, Taiwan
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Yaugel-Novoa M, Bourlet T, Paul S. Role of the humoral immune response during COVID-19: guilty or not guilty? Mucosal Immunol 2022; 15:1170-1180. [PMID: 36195658 PMCID: PMC9530436 DOI: 10.1038/s41385-022-00569-w] [Citation(s) in RCA: 23] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2022] [Revised: 08/07/2022] [Accepted: 09/19/2022] [Indexed: 02/04/2023]
Abstract
Systemic and mucosal humoral immune responses are crucial to fight respiratory viral infections in the current pandemic of COVID-19 caused by the SARS-CoV-2 virus. During SARS-CoV-2 infection, the dynamics of systemic and mucosal antibody infections are affected by patient characteristics, such as age, sex, disease severity, or prior immunity to other human coronaviruses. Patients suffering from severe disease develop higher levels of anti-SARS-CoV-2 antibodies in serum and mucosal tissues than those with mild disease, and these antibodies are detectable for up to a year after symptom onset. In hospitalized patients, the aberrant glycosylation of anti-SARS-CoV-2 antibodies enhances inflammation-associated antibody Fc-dependent effector functions, thereby contributing to COVID-19 pathophysiology. Current vaccines elicit robust humoral immune responses, principally in the blood. However, they are less effective against new viral variants, such as Delta and Omicron. This review provides an overview of current knowledge about the humoral immune response to SARS-CoV-2, with a particular focus on the protective and pathological role of humoral immunity in COVID-19 severity. We also discuss the humoral immune response elicited by COVID-19 vaccination and protection against emerging viral variants.
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Affiliation(s)
- Melyssa Yaugel-Novoa
- CIRI—Centre International de Recherche en Infectiologie, Team GIMAP (Saint-Etienne), Inserm, U1111, CNRS, UMR5308, ENS Lyon, UJM, Université Claude Bernard Lyon 1, Lyon, France
| | - Thomas Bourlet
- CIRI—Centre International de Recherche en Infectiologie, Team GIMAP (Saint-Etienne), Inserm, U1111, CNRS, UMR5308, ENS Lyon, UJM, Université Claude Bernard Lyon 1, Lyon, France
| | - Stéphane Paul
- CIRI—Centre International de Recherche en Infectiologie, Team GIMAP (Saint-Etienne), Inserm, U1111, CNRS, UMR5308, ENS Lyon, UJM, Université Claude Bernard Lyon 1, Lyon, France,CIC Inserm 1408 Vaccinology, Saint-Etienne, France
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SARS-CoV-2 Spike-specific IFN-γ T-cell Response After COVID-19 Vaccination in Patients With Chronic Kidney Disease, on Dialysis, or Living With a Kidney Transplant. Transplant Direct 2022; 8:e1387. [PMID: 36284929 PMCID: PMC9584182 DOI: 10.1097/txd.0000000000001387] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2022] [Revised: 08/04/2022] [Accepted: 08/05/2022] [Indexed: 11/24/2022] Open
Abstract
UNLABELLED Studies have shown that coronavirus disease 2019 (COVID-19) vaccination is associated with a lower humoral response in vulnerable kidney patients. Here, we investigated the T-cell response following COVID-19 vaccination in kidney patients compared with controls. METHODS Patients with chronic kidney disease (CKD) stage G4/5 [estimated glomerular filtration rate <30 mL/min/1.73 m2], on dialysis, or living with a kidney transplant and controls received 2 doses of the mRNA-1273 COVID-19 vaccine. Peripheral blood mononuclear cells were isolated at baseline and 28 d after the second vaccination. In 398 participants (50% of entire cohort; controls n = 95, CKD G4/5 n = 81, dialysis n = 78, kidney transplant recipients [KTRs] n = 144)' SARS-CoV-2-specific T cells were measured using an IFN-γ enzyme-linked immune absorbent spot assay. RESULTS A significantly lower SARS-CoV-2-specific T-cell response was observed after vaccination of patients on dialysis (54.5%) and KTRs (42.6%) in contrast to CDK G4/5 (70%) compared with controls (76%). The use of calcineurin inhibitors was associated with a low T-cell response in KTRs. In a subset of 20 KTRs, we observed waning of the cellular response 6 mo after the second vaccination, which was boosted to some extent after a third vaccination, although T-cell levels remained low. CONCLUSION Our data suggest that vaccination is less effective in these patient groups, with humoral nonresponders also failing to mount an adequate cellular response, even after the third vaccination. Given the important role of T cells in protection against disease and cross-reactivity to SARS-CoV-2 variants, alternative vaccination strategies are urgently needed in these high-risk patient groups.
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Development and Implementation of Dried Blood Spot-Based COVID-19 Serological Assays for Epidemiologic Studies. Microbiol Spectr 2022; 10:e0247121. [PMID: 35612315 PMCID: PMC9241704 DOI: 10.1128/spectrum.02471-21] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
Serological surveillance studies of infectious diseases provide population-level estimates of infection and antibody prevalence, generating crucial insight into population-level immunity, risk factors leading to infection, and effectiveness of public health measures. These studies traditionally rely on detection of pathogen-specific antibodies in samples derived from venipuncture, an expensive and logistically challenging aspect of serological surveillance. During the COVID-19 pandemic, guidelines implemented to prevent the spread of SARS-CoV-2 infection made collection of venous blood logistically difficult at a time when SARS-CoV-2 serosurveillance was urgently needed. Dried blood spots (DBS) have generated interest as an alternative to venous blood for SARS-CoV-2 serological applications due to their stability, low cost, and ease of collection; DBS samples can be self-generated via fingerprick by community members and mailed at ambient temperatures. Here, we detail the development of four DBS-based SARS-CoV-2 serological methods and demonstrate their implementation in a large serological survey of community members from 12 cities in the East Bay region of the San Francisco metropolitan area using at-home DBS collection. We find that DBS perform similarly to plasma/serum in enzyme-linked immunosorbent assays and commercial SARS-CoV-2 serological assays. In addition, we show that DBS samples can reliably detect antibody responses months postinfection and track antibody kinetics after vaccination. Implementation of DBS enabled collection of valuable serological data from our study population to investigate changes in seroprevalence over an 8-month period. Our work makes a strong argument for the implementation of DBS in serological studies, not just for SARS-CoV-2, but any situation where phlebotomy is inaccessible. IMPORTANCE Estimation of community-level antibody responses to SARS-CoV-2 from infection or vaccination is critical to inform public health responses. Traditional studies of antibodies rely on collection of blood via venipuncture, an invasive procedure not amenable to pandemic-related social-distancing measures. Dried blood spots (DBS) are an alternative to venipuncture, since they can be self-collected by study participants at home and do not require refrigeration for shipment or storage. However, DBS-based assays to measure antibody levels to SARS-CoV-2 have not been widely utilized. Here, we show that DBS are comparable to blood as a sampling method for antibody responses to SARS-CoV-2 infection and vaccination over time measured using four distinct serological assays. The DBS format enabled antibody surveillance in a longitudinal cohort where study participants self-collected samples, ensuring the participants’ safety during an ongoing pandemic. Our work demonstrates that DBS are an excellent sampling method for measuring antibody responses whenever venipuncture is impractical.
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Pagen DME, Brinkhues S, Dukers-Muijrers NHTM, den Heijer CDJ, Bouwmeester-Vincken N, Hanssen DAT, van Loo IHM, Savelkoul PHM, Hoebe CJPA. Exposure factors associated with SARS-CoV-2 seroprevalence during the first eight months of the COVID-19 pandemic in the Netherlands: A cross-sectional study. PLoS One 2022; 17:e0268057. [PMID: 35551285 PMCID: PMC9097988 DOI: 10.1371/journal.pone.0268057] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2022] [Accepted: 04/12/2022] [Indexed: 11/30/2022] Open
Abstract
BACKGROUND The availability of valid Severe Acute Respiratory Syndrome Coronvirus-2 (SARS-CoV-2) serological tests overcome the problem of underestimated cumulative Coronavirus Disease 2019 (COVID-19) cases during the first months of the pandemic in The Netherlands. The possibility to reliably determine the number of truly infected persons, enabled us to study initial drivers for exposure risk in the absence of routine testing. Numerous activities or circumstances can accelerate virus spread, here defined as exposure factors. Hence, we aimed to evaluate a wide variety of demographic, behavioural and social exposure factors associated with seropositivity during the first eight months of the pandemic in Limburg, The Netherlands. METHODS SARS-CoV-2 point-seroprevalence was determined cross-sectionally to indicate previous infection in a convenience sample of minimal 10,000 inhabitants of the study province. All adult (18+ years) inhabitants of the study province were eligible to register themselves for participation. Once the initial 10,000 registrations were reached, a reserve list was kept to ensure sufficient participants. Possible exposure factors were mapped by means of an extensive questionnaire. Associated exposure factors were determined using univariable and multivariable logistic regression models. RESULTS Seropositivity was established in 19.5% (n = 1,948) of the 10,001 participants (on average 49 years old (SD = 15; range 18-90 years), majority women (n = 5,829; 58.3%). Exposure factors associated with seropositivity included current education, working in healthcare and not working from home, and being a member of three or four associations or clubs. Specifically for February-March 2020, visiting an après-ski bar during winter sports in Austria, travelling to Spain, celebrating carnival, and participating in a singing activity or ball sport were associated with seropositivity. CONCLUSIONS Our results confirm that relevant COVID-19 exposure factors generally reflected circumstances where social distancing was impossible, and the number and duration of contacts was high, in particular for indoor activities.
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Affiliation(s)
- Demi M. E. Pagen
- Department of Sexual Health, Infectious Diseases and Environmental Health, South Limburg Public Health Service, Heerlen, The Netherlands
- Department of Social Medicine, Care and Public Health Research Institute (CAPHRI), Maastricht University, Maastricht, The Netherlands
| | - Stephanie Brinkhues
- Department of Sexual Health, Infectious Diseases and Environmental Health, South Limburg Public Health Service, Heerlen, The Netherlands
- Department of Social Medicine, Care and Public Health Research Institute (CAPHRI), Maastricht University, Maastricht, The Netherlands
| | - Nicole H. T. M. Dukers-Muijrers
- Department of Sexual Health, Infectious Diseases and Environmental Health, South Limburg Public Health Service, Heerlen, The Netherlands
- Department of Health Promotion, Care and Public Health Research Institute (CAPHRI), Maastricht University, Maastricht, The Netherlands
| | - Casper D. J. den Heijer
- Department of Sexual Health, Infectious Diseases and Environmental Health, South Limburg Public Health Service, Heerlen, The Netherlands
- Department of Social Medicine, Care and Public Health Research Institute (CAPHRI), Maastricht University, Maastricht, The Netherlands
| | | | - Daniëlle A. T. Hanssen
- Department of Medical Microbiology, Maastricht University Medical Centre (MUMC+), Care and Public Health Research Institute (CAPHRI), Maastricht University, Maastricht, The Netherlands
| | - Inge H. M. van Loo
- Department of Medical Microbiology, Maastricht University Medical Centre (MUMC+), Care and Public Health Research Institute (CAPHRI), Maastricht University, Maastricht, The Netherlands
| | - Paul H. M. Savelkoul
- Department of Medical Microbiology, Maastricht University Medical Centre (MUMC+), Care and Public Health Research Institute (CAPHRI), Maastricht University, Maastricht, The Netherlands
- Department of Medical Microbiology and Infection Control, Amsterdam Medical Centre, Amsterdam, The Netherlands
| | - Christian J. P. A. Hoebe
- Department of Sexual Health, Infectious Diseases and Environmental Health, South Limburg Public Health Service, Heerlen, The Netherlands
- Department of Social Medicine, Care and Public Health Research Institute (CAPHRI), Maastricht University, Maastricht, The Netherlands
- Department of Medical Microbiology, Maastricht University Medical Centre (MUMC+), Care and Public Health Research Institute (CAPHRI), Maastricht University, Maastricht, The Netherlands
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Bouman JA, Kadelka S, Stringhini S, Pennacchio F, Meyer B, Yerly S, Kaiser L, Guessous I, Azman AS, Bonhoeffer S, Regoes RR. Applying mixture model methods to SARS-CoV-2 serosurvey data from Geneva. Epidemics 2022; 39:100572. [PMID: 35580458 PMCID: PMC9076579 DOI: 10.1016/j.epidem.2022.100572] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2021] [Revised: 02/01/2022] [Accepted: 04/25/2022] [Indexed: 11/16/2022] Open
Abstract
Serosurveys are an important tool to estimate the true extent of the current SARS-CoV-2 pandemic. So far, most serosurvey data have been analyzed with cutoff-based methods, which dichotomize individual measurements into sero-positives or negatives based on a predefined cutoff. However, mixture model methods can gain additional information from the same serosurvey data. Such methods refrain from dichotomizing individual values and instead use the full distribution of the serological measurements from pre-pandemic and COVID-19 controls to estimate the cumulative incidence. This study presents an application of mixture model methods to SARS-CoV-2 serosurvey data from the SEROCoV-POP study from April and May 2020 in Geneva (2766 individuals). Besides estimating the total cumulative incidence in these data (8.1% (95% CI: 6.8%–9.9%)), we applied extended mixture model methods to estimate an indirect indicator of disease severity, which is the fraction of cases with a distribution of antibody levels similar to hospitalized COVID-19 patients. This fraction is 51.2% (95% CI: 15.2%–79.5%) across the full serosurvey, but differs between three age classes: 21.4% (95% CI: 0%–59.6%) for individuals between 5 and 40 years old, 60.2% (95% CI: 21.5%–100%) for individuals between 41 and 65 years old and 100% (95% CI: 20.1%–100%) for individuals between 66 and 90 years old. Additionally, we find a mismatch between the inferred negative distribution of the serosurvey and the validation data of pre-pandemic controls. Overall, this study illustrates that mixture model methods can provide additional insights from serosurvey data.
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Haggenburg S, Lissenberg-Witte BI, van Binnendijk RS, den Hartog G, Bhoekhan MS, Haverkate NJE, de Rooij DM, van Meerloo J, Cloos J, Kootstra NA, Wouters D, Weijers SS, van Leeuwen EMM, Bontkes HJ, Tonouh-Aajoud S, Heemskerk MHM, Sanders RW, Roelandse-Koop E, Hofsink Q, Groen K, Çetinel L, Schellekens L, den Hartog YM, Toussaint B, Kant IMJ, Graas T, de Pater E, Dik WA, Engel MD, Pierie CRN, Janssen SR, van Dijkman E, Poniman M, Burger JA, Bouhuijs JH, Smits G, Rots NY, Zweegman S, Kater AP, van Meerten T, Mutsaers PGNJ, van Doesum JA, Broers AEC, van Gils MJ, Goorhuis A, Rutten CE, Hazenberg MD, Nijhof IS. Quantitative analysis of mRNA-1273 COVID-19 vaccination response in immunocompromised adult hematology patients. Blood Adv 2022; 6:1537-1546. [PMID: 35114690 PMCID: PMC8816838 DOI: 10.1182/bloodadvances.2021006917] [Citation(s) in RCA: 44] [Impact Index Per Article: 14.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2021] [Accepted: 01/18/2022] [Indexed: 12/01/2022] Open
Abstract
Vaccination guidelines for patients treated for hematological diseases are typically conservative. Given their high risk for severe COVID-19, it is important to identify those patients that benefit from vaccination. We prospectively quantified serum immunoglobulin G (IgG) antibodies to spike subunit 1 (S1) antigens during and after 2-dose mRNA-1273 (Spikevax/Moderna) vaccination in hematology patients. Obtaining S1 IgG ≥ 300 binding antibody units (BAUs)/mL was considered adequate as it represents the lower level of S1 IgG concentration obtained in healthy individuals, and it correlates with potent virus neutralization. Selected patients (n = 723) were severely immunocompromised owing to their disease or treatment thereof. Nevertheless, >50% of patients obtained S1 IgG ≥ 300 BAUs/mL after 2-dose mRNA-1273. All patients with sickle cell disease or chronic myeloid leukemia obtained adequate antibody concentrations. Around 70% of patients with chronic graft-versus-host disease (cGVHD), multiple myeloma, or untreated chronic lymphocytic leukemia (CLL) obtained S1 IgG ≥ 300 BAUs/mL. Ruxolitinib or hypomethylating therapy but not high-dose chemotherapy blunted responses in myeloid malignancies. Responses in patients with lymphoma, patients with CLL on ibrutinib, and chimeric antigen receptor T-cell recipients were low. The minimal time interval after autologous hematopoietic cell transplantation (HCT) to reach adequate concentrations was <2 months for multiple myeloma, 8 months for lymphoma, and 4 to 6 months after allogeneic HCT. Serum IgG4, absolute B- and natural killer-cell number, and number of immunosuppressants predicted S1 IgG ≥ 300 BAUs/mL. Hematology patients on chemotherapy, shortly after HCT, or with cGVHD should not be precluded from vaccination. This trial was registered at Netherlands Trial Register as #NL9553.
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Affiliation(s)
| | - Birgit I. Lissenberg-Witte
- Department of Epidemiology and Data Science, Amsterdam University Medical Center, Amsterdam, The Netherlands
| | - Rob S. van Binnendijk
- Centre for Immunology of Infectious Diseases and Vaccines, National Institute for Public Health and the Environment, Bilthoven, The Netherlands
| | - Gerco den Hartog
- Centre for Immunology of Infectious Diseases and Vaccines, National Institute for Public Health and the Environment, Bilthoven, The Netherlands
| | | | | | | | | | | | | | | | | | - Ester M. M. van Leeuwen
- Department of Experimental Immunology
- Laboratory Medical Immunology, Amsterdam University Medical Center, Amsterdam, The Netherlands
| | - Hetty J. Bontkes
- Laboratory Medical Immunology, Amsterdam University Medical Center, Amsterdam, The Netherlands
| | - Saïda Tonouh-Aajoud
- Laboratory Medical Immunology, Amsterdam University Medical Center, Amsterdam, The Netherlands
| | | | - Rogier W. Sanders
- Department of Medical Microbiology and Infection Prevention, Amsterdam University Medical Center, Amsterdam, The Netherlands
| | | | | | | | | | | | | | | | | | | | | | - Willem A. Dik
- Laboratory Medical Immunology, Department of Immunology, Erasmus MC, University Medical Center, Rotterdam, The Netherlands
| | | | | | | | | | - Meliawati Poniman
- Department of Medical Microbiology and Infection Prevention, Amsterdam University Medical Center, Amsterdam, The Netherlands
| | - Judith A. Burger
- Department of Medical Microbiology and Infection Prevention, Amsterdam University Medical Center, Amsterdam, The Netherlands
| | - Joey H. Bouhuijs
- Department of Medical Microbiology and Infection Prevention, Amsterdam University Medical Center, Amsterdam, The Netherlands
| | - Gaby Smits
- Centre for Immunology of Infectious Diseases and Vaccines, National Institute for Public Health and the Environment, Bilthoven, The Netherlands
| | - Nynke Y. Rots
- Centre for Immunology of Infectious Diseases and Vaccines, National Institute for Public Health and the Environment, Bilthoven, The Netherlands
| | | | | | - Tom van Meerten
- Department of Hematology, University Medical Center Groningen, Groningen, The Netherlands
| | | | - Jaap A. van Doesum
- Department of Hematology, University Medical Center Groningen, Groningen, The Netherlands
| | | | - Marit J. van Gils
- Department of Medical Microbiology and Infection Prevention, Amsterdam University Medical Center, Amsterdam, The Netherlands
| | - Abraham Goorhuis
- Department of Infectious Diseases, Amsterdam University Medical Center, Amsterdam, The Netherlands; and
| | | | - Mette D. Hazenberg
- Department of Hematology and
- Cancer Center Amsterdam
- Department of Hematopoiesis, Sanquin Research, Amsterdam, The Netherlands
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van den Hoogen LL, Smits G, van Hagen CC, Wong D, Vos ER, van Boven M, de Melker HE, van Vliet J, Kuijer M, Woudstra L, Wijmenga-Monsuur AJ, GeurtsvanKessel CH, Stoof SP, Reukers D, Wijsman LA, Meijer A, Reusken CB, Rots NY, van der Klis FR, van Binnendijk RS, den Hartog G. Seropositivity to Nucleoprotein to detect mild and asymptomatic SARS-CoV-2 infections: A complementary tool to detect breakthrough infections after COVID-19 vaccination? Vaccine 2022; 40:2251-2257. [PMID: 35287986 PMCID: PMC8904156 DOI: 10.1016/j.vaccine.2022.03.009] [Citation(s) in RCA: 25] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2021] [Revised: 01/14/2022] [Accepted: 03/03/2022] [Indexed: 12/17/2022]
Abstract
Background Methods Results Conclusions
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31
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Garner-Spitzer E, Wagner A, Kundi M, Stockinger H, Ohradanova-Repic A, Gebetsberger L, Schoetta AM, Gudipati V, Huppa JB, Kunert R, Mayrhofer P, Kreil TR, Farcet MR, Hoeltl E, Wiedermann U. SARS-CoV-2-Specific Antibody (Ab) Levels and the Kinetic of Ab Decline Determine Ab Persistence Over 1 Year. Front Med (Lausanne) 2022; 9:822316. [PMID: 35242786 PMCID: PMC8885586 DOI: 10.3389/fmed.2022.822316] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2021] [Accepted: 01/13/2022] [Indexed: 11/22/2022] Open
Abstract
In a SARS-CoV-2 seroprevalence study conducted with 1,655 working adults in spring of 2020, 12 of the subjects presented with positive neutralization test (NT) titers (>1:10). They were here followed up for 1 year to assess their Ab persistence. We report that 7/12 individuals (58%) had NT_50 titers ≥1:50 and S1-specific IgG ≥50 BAU/ml 1 year after mild COVID-19 infection. S1-specific IgG were retained until a year when these levels were at least >60 BAU/ml at 3 months post-infection. For both the initial fast and subsequent slow decline phase of Abs, we observed a significant correlation between NT_50 titers and S1-specific IgG and thus propose S1-IgG of 60 BAU/ml 3 months post-infection as a potential threshold to predict neutralizing Ab persistence for 1 year. NT_50 titers and S1-specific IgG also correlated with circulating S1-specific memory B-cells. SARS-CoV-2-specific Ab levels after primary mRNA vaccination in healthy controls were higher (Geometric Mean Concentration [GMC] 3158 BAU/ml [CI 2592 to 3848]) than after mild COVID-19 infection (GMC 82 BAU/ml [CI 48 to 139]), but showed a stronger fold-decline within 5-6 months (0.20-fold, to GMC 619 BAU/ml [CI 479 to 801] vs. 0.56-fold, to GMC 46 BAU/ml [CI 26 to 82]). Of particular interest, the decline of both infection- and vaccine-induced Abs correlated with body mass index. Our data contribute to describe decline and persistence of SARS-CoV-2-specific Abs after infection and vaccination, yet the relevance of the maintained Ab levels for protection against infection and/or disease depends on the so far undefined correlate of protection.
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Affiliation(s)
- Erika Garner-Spitzer
- Institute of Specific Prophylaxis and Tropical Medicine, Center for Pathophysiology, Infectiology and Immunology, Medical University of Vienna, Vienna, Austria
| | - Angelika Wagner
- Institute of Specific Prophylaxis and Tropical Medicine, Center for Pathophysiology, Infectiology and Immunology, Medical University of Vienna, Vienna, Austria
| | - Michael Kundi
- Center for Public Health, Medical University of Vienna, Vienna, Austria
| | - Hannes Stockinger
- Institute for Hygiene and Applied Immunology, Center for Pathophysiology, Infectiology and Immunology, Medical University of Vienna, Vienna, Austria
| | - Anna Ohradanova-Repic
- Institute for Hygiene and Applied Immunology, Center for Pathophysiology, Infectiology and Immunology, Medical University of Vienna, Vienna, Austria
| | - Laura Gebetsberger
- Institute for Hygiene and Applied Immunology, Center for Pathophysiology, Infectiology and Immunology, Medical University of Vienna, Vienna, Austria
| | - Anna-Margarita Schoetta
- Institute for Hygiene and Applied Immunology, Center for Pathophysiology, Infectiology and Immunology, Medical University of Vienna, Vienna, Austria
| | - Venugopal Gudipati
- Institute for Hygiene and Applied Immunology, Center for Pathophysiology, Infectiology and Immunology, Medical University of Vienna, Vienna, Austria
| | - Johannes B. Huppa
- Institute for Hygiene and Applied Immunology, Center for Pathophysiology, Infectiology and Immunology, Medical University of Vienna, Vienna, Austria
| | - Renate Kunert
- Department of Biotechnology, University of Natural Resources and Life Sciences, Vienna, Austria
| | - Patrick Mayrhofer
- Department of Biotechnology, University of Natural Resources and Life Sciences, Vienna, Austria
| | - Thomas R. Kreil
- Global Pathogen Safety, Baxter AG, a Takeda company, Vienna, Austria
| | - Maria R. Farcet
- Global Pathogen Safety, Baxter AG, a Takeda company, Vienna, Austria
| | - Eva Hoeltl
- Health Center Erste Bank, Erste Bank, Vienna, Austria
| | - Ursula Wiedermann
- Institute of Specific Prophylaxis and Tropical Medicine, Center for Pathophysiology, Infectiology and Immunology, Medical University of Vienna, Vienna, Austria
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Kaaijk P, Olivo Pimentel V, Emmelot ME, Poelen MCM, Cevirgel A, Schepp RM, den Hartog G, Reukers DF, Beckers L, van Beek J, van Els CACM, Meijer A, Rots NY, de Wit J. Children and Adults With Mild COVID-19: Dynamics of the Memory T Cell Response up to 10 Months. Front Immunol 2022; 13:817876. [PMID: 35197982 PMCID: PMC8858984 DOI: 10.3389/fimmu.2022.817876] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2021] [Accepted: 01/18/2022] [Indexed: 12/14/2022] Open
Abstract
BackgroundSevere acute respiratory syndrome coronavirus-2 (SARS-CoV-2) has led to considerable morbidity/mortality worldwide, but most infections, especially among children, have a mild course. However, it remains largely unknown whether infected children develop cellular immune memory.MethodsTo determine whether a memory T cell response is being developed, we performed a longitudinal assessment of the SARS-CoV-2-specific T cell response by IFN-γ ELISPOT and activation marker analyses of peripheral blood samples from unvaccinated children and adults with mild-to-moderate COVID-19.ResultsUpon stimulation of PBMCs with heat-inactivated SARS-CoV-2 or overlapping peptides of spike (S-SARS-CoV-2) and nucleocapsid proteins, we found S-SARS-CoV-2-specific IFN-γ T cell responses in infected children (83%) and adults (100%) that were absent in unexposed controls. Frequencies of SARS-CoV-2-specific T cells were higher in infected adults, especially in those with moderate symptoms, compared to infected children. The S-SARS-CoV-2 IFN-γ T cell response correlated with S1-SARS-CoV-2-specific serum antibody concentrations. Predominantly, effector memory CD4+ T cells of a Th1 phenotype were activated upon exposure to SARS-CoV-2 antigens. Frequencies of SARS-CoV-2-specific T cells were significantly reduced at 10 months after symptom onset, while S1-SARS-CoV-2-specific IgG concentrations were still detectable in 90% of all children and adults.ConclusionsOur data indicate that an antigen-specific T cell and antibody response is developed after mild SARS-CoV-2 infection in children and adults. It remains to be elucidated to what extent this SARS-CoV-2-specific response can contribute to an effective recall response after reinfection.
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Affiliation(s)
- Patricia Kaaijk
- Centre for Infectious Disease Control, National Institute for Public Health and the Environment (RIVM), Bilthoven, Netherlands
- *Correspondence: Patricia Kaaijk,
| | - Verónica Olivo Pimentel
- Centre for Infectious Disease Control, National Institute for Public Health and the Environment (RIVM), Bilthoven, Netherlands
| | - Maarten E. Emmelot
- Centre for Infectious Disease Control, National Institute for Public Health and the Environment (RIVM), Bilthoven, Netherlands
| | - Martien C. M. Poelen
- Centre for Infectious Disease Control, National Institute for Public Health and the Environment (RIVM), Bilthoven, Netherlands
| | - Alper Cevirgel
- Centre for Infectious Disease Control, National Institute for Public Health and the Environment (RIVM), Bilthoven, Netherlands
| | - Rutger M. Schepp
- Centre for Infectious Disease Control, National Institute for Public Health and the Environment (RIVM), Bilthoven, Netherlands
| | - Gerco den Hartog
- Centre for Infectious Disease Control, National Institute for Public Health and the Environment (RIVM), Bilthoven, Netherlands
| | - Daphne F.M. Reukers
- Centre for Infectious Disease Control, National Institute for Public Health and the Environment (RIVM), Bilthoven, Netherlands
| | - Lisa Beckers
- Centre for Infectious Disease Control, National Institute for Public Health and the Environment (RIVM), Bilthoven, Netherlands
| | - Josine van Beek
- Centre for Infectious Disease Control, National Institute for Public Health and the Environment (RIVM), Bilthoven, Netherlands
| | - Cécile A. C. M. van Els
- Centre for Infectious Disease Control, National Institute for Public Health and the Environment (RIVM), Bilthoven, Netherlands
- Faculty of Veterinary Medicine, Utrecht University, Utrecht, Netherlands
| | - Adam Meijer
- Centre for Infectious Disease Control, National Institute for Public Health and the Environment (RIVM), Bilthoven, Netherlands
| | - Nynke Y. Rots
- Centre for Infectious Disease Control, National Institute for Public Health and the Environment (RIVM), Bilthoven, Netherlands
| | - Jelle de Wit
- Centre for Infectious Disease Control, National Institute for Public Health and the Environment (RIVM), Bilthoven, Netherlands
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33
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Costa JPD, Meireles P, Rodrigues PNS, Barros H. Incidence of SARS-CoV-2 infection in a cohort of workers from the University of Porto, Portugal. Infect Dis (Lond) 2022; 54:441-447. [PMID: 35129057 DOI: 10.1080/23744235.2022.2035429] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/05/2022] Open
Abstract
BACKGROUND Repeated serosurveys in the same population provide more accurate estimates of the frequency of SARS-CoV-2 infection and more comparable data over time than notified cases. We aimed to estimate the incidence of SARS-CoV-2 infection, identify associated factors, and assess time trends in the ratio of serological/molecular diagnosis in a cohort of university workers. METHODS Participants had a serological rapid test for SARS-CoV-2 immunoglobulins M and G, and completed a questionnaire, in May-July 2020 (n = 3628) and November 2020-January 2021 (n = 2661); 1960 participated in both evaluations and provided data to compute the incidence proportion and the incidence rate. Crude and adjusted incidence rate ratios (aIRR) and 95% confidence intervals (CI) were computed using generalized linear models with Poisson regression. RESULTS The incidence rate was 1.8/100 person-months (95% CI: 1.5-2.0), and the 6 months' cumulative incidence was 10.7%. The serological/molecular diagnosis ratio was 10:1 in the first evaluation and 3:1 in the second. Considering newly identified seropositive cases at the first (n = 69) and second evaluation (n = 202), 29.0% and 9.4% never reported symptoms, respectively, 14.5% and 33.3% reported contact with a confirmed case and 82.6%, and 46.0% never had a molecular test. Males (aIRR: 0.61; 95% CI: 0.44-0.85) and 'high-skilled white-collar' workers (aIRR: 0.74, 95% CI: 0.53-1.04) had lower risk of infection. CONCLUSION University workers presented a high SARS-CoV-2 incidence while restrictive measures were in place. The time decrease in the proportion of undiagnosed cases reflected the increased access and awareness to testing, but opportunities continued to be missed, even in the presence of COVID-19-like symptoms.
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Affiliation(s)
- Joana Pinto da Costa
- EPIUnit - Instituto de Saúde Pública da Universidade do Porto, Porto, Portugal.,Laboratório para a Investigação Integrativa e Translacional em Saúde Populacional (ITR), Porto, Portugal
| | - Paula Meireles
- EPIUnit - Instituto de Saúde Pública da Universidade do Porto, Porto, Portugal.,Laboratório para a Investigação Integrativa e Translacional em Saúde Populacional (ITR), Porto, Portugal
| | - Pedro N S Rodrigues
- i3S-Instituto de Investigação e Inovação em Saúde, Universidade do Porto, Porto, Portugal.,ICBAS-Instituto de Ciências Biomédicas Abel Salazar, Universidade do Porto, Porto, Portugal
| | - Henrique Barros
- EPIUnit - Instituto de Saúde Pública da Universidade do Porto, Porto, Portugal.,Laboratório para a Investigação Integrativa e Translacional em Saúde Populacional (ITR), Porto, Portugal.,Departamento de Ciências da Saúde Pública e Forenses e Educação Médica, Faculdade de Medicina, Universidade do Porto, Porto, Portugal
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Staszewski C, Rochelson B, Krantz DA, Gerber RP, Juhel H, Reddy S, Blitz MJ. Persistence of infection-induced SARS-CoV-2 seropositivity throughout gestation. Am J Obstet Gynecol 2022; 226:263-264. [PMID: 34606762 PMCID: PMC8486583 DOI: 10.1016/j.ajog.2021.09.037] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2021] [Revised: 09/22/2021] [Accepted: 09/23/2021] [Indexed: 11/19/2022]
Affiliation(s)
- Cara Staszewski
- Division of Maternal-Fetal Medicine, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY; Division of Maternal-Fetal Medicine, North Shore University Hospital, Northwell Health, 300 Community Drive, 3-Levitt, Manhasset, NY 11030.
| | - Burton Rochelson
- Division of Maternal-Fetal Medicine, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY
| | | | - Rachel P Gerber
- Division of Maternal-Fetal Medicine, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY
| | - Hannah Juhel
- Division of Maternal-Fetal Medicine, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY
| | - Shreya Reddy
- Division of Maternal-Fetal Medicine, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY
| | - Matthew J Blitz
- Division of Maternal-Fetal Medicine, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY
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35
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Hu C, Li D, Liu Z, Ren L, Su J, Zhu M, Feng Y, Wang Z, Liu Q, Zhu B, Shao Y. Exploring Rapid and Effective Screening Methods for Anti-SARS-CoV-2 Neutralizing Antibodies in COVID-19 Convalescent Patients and Longitudinal Vaccinated Populations. Pathogens 2022; 11:171. [PMID: 35215115 PMCID: PMC8878712 DOI: 10.3390/pathogens11020171] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2021] [Revised: 01/22/2022] [Accepted: 01/25/2022] [Indexed: 01/27/2023] Open
Abstract
Assessing the duration of neutralizing antibodies (nAbs) following SARS-CoV-2 infection or vaccination is critical to evaluate the protective immunity and formulate public health strategies. In this study, SARS-CoV-2 Ab ELISA (enzyme-linked immunosorbent assay), chemiluminescent microparticle immunoassay (CMIA), as well as pseudovirus neutralization test (PVNT) were performed in two cohorts, convalescent patients (CP) from coronavirus disease 2019 (COVID-19) and BBIBP-CorV vaccinated population. It was found that nAbs and binding antibodies emerged at 14 days post the 1st dose of vaccination, reached peaks at 28 days after 2nd dose vaccination and then gradually declined over time. CP-6M (convalescent patients up to 6 months) from COVID-19 presented stronger nAbs or binding antibodies responses than vaccinees 90 days or 180 days after 2nd dose vaccination. CMIA or SARS-CoV-2 Ab ELISA correlated well with PVNT with high consistency in the two cohorts. It shown that nAbs and binding antibodies can keep 6 months both in CP and vaccinees. Most importantly, our data show the application of using CMIA and SARS-CoV-2 Ab ELISA as rapid screening tests for nAb titer and could be used as alternative strategies for quickly evaluating SARS-CoV-2 nAbs responses in vaccine research.
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Affiliation(s)
- Caiqin Hu
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, National Medical Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310003, China; (C.H.); (J.S.)
| | - Dan Li
- State Key Laboratory for Infectious Disease Prevention and Control, National Center for AIDS/STD Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China; (L.R.); (M.Z.); (Y.F.); (Z.W.)
| | - Zhanmou Liu
- Guangxi Key Laboratory of AIDS Prevention and Treatment & Guangxi Universities Key Laboratory of Prevention and Control of Highly Prevalent Disease, School of Public Health, Guangxi Medical University, Nanning 530021, China;
| | - Li Ren
- State Key Laboratory for Infectious Disease Prevention and Control, National Center for AIDS/STD Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China; (L.R.); (M.Z.); (Y.F.); (Z.W.)
| | - Junwei Su
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, National Medical Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310003, China; (C.H.); (J.S.)
| | - Meiling Zhu
- State Key Laboratory for Infectious Disease Prevention and Control, National Center for AIDS/STD Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China; (L.R.); (M.Z.); (Y.F.); (Z.W.)
| | - Yi Feng
- State Key Laboratory for Infectious Disease Prevention and Control, National Center for AIDS/STD Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China; (L.R.); (M.Z.); (Y.F.); (Z.W.)
| | - Zheng Wang
- State Key Laboratory for Infectious Disease Prevention and Control, National Center for AIDS/STD Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China; (L.R.); (M.Z.); (Y.F.); (Z.W.)
| | - Qiang Liu
- Gobond Testing Technology (Beijing) Co., Ltd., Beijing 102629, China;
| | - Biao Zhu
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, National Medical Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310003, China; (C.H.); (J.S.)
| | - Yiming Shao
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, National Medical Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310003, China; (C.H.); (J.S.)
- State Key Laboratory for Infectious Disease Prevention and Control, National Center for AIDS/STD Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China; (L.R.); (M.Z.); (Y.F.); (Z.W.)
- Guangxi Key Laboratory of AIDS Prevention and Treatment & Guangxi Universities Key Laboratory of Prevention and Control of Highly Prevalent Disease, School of Public Health, Guangxi Medical University, Nanning 530021, China;
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Rahman S, Rahman MM, Miah M, Begum MN, Sarmin M, Mahfuz M, Hossain ME, Rahman MZ, Chisti MJ, Ahmed T, Arifeen SE, Rahman M. COVID-19 reinfections among naturally infected and vaccinated individuals. Sci Rep 2022; 12:1438. [PMID: 35082344 PMCID: PMC8792012 DOI: 10.1038/s41598-022-05325-5] [Citation(s) in RCA: 65] [Impact Index Per Article: 21.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2021] [Accepted: 01/03/2022] [Indexed: 12/17/2022] Open
Abstract
The protection against emerging SARS-CoV-2 variants by pre-existing antibodies elicited due to the current vaccination or natural infection is a global concern. We aimed to investigate the rate of SARS-CoV-2 infection and its clinical features among infection-naïve, infected, vaccinated, and post-infection-vaccinated individuals. A cohort was designed among icddr,b staff registered for COVID-19 testing by real-time reverse transcriptase-polymerase chain reaction (rRT-PCR). Reinfection cases were confirmed by whole-genome sequencing. From 19 March 2020 to 31 March 2021, 1644 (mean age, 38.4 years and 57% male) participants were enrolled; where 1080 (65.7%) were tested negative and added to the negative cohort. The positive cohort included 750 positive patients (564 from baseline and 186 from negative cohort follow-up), of whom 27.6% were hospitalized and 2.5% died. Among hospitalized patients, 45.9% had severe to critical disease and 42.5% required oxygen support. Hypertension and diabetes mellitus were found significantly higher among the hospitalised patients compared to out-patients; risk ratio 1.3 and 1.6 respectively. The risk of infection among positive cohort was 80.2% lower than negative cohort (95% CI 72.6-85.7%; p < 0.001). Genome sequences showed that genetically distinct SARS-CoV-2 strains were responsible for reinfections. Naturally infected populations were less likely to be reinfected by SARS-CoV-2 than the infection-naïve and vaccinated individuals. Although, reinfected individuals did not suffer severe disease, a remarkable proportion of naturally infected or vaccinated individuals were (re)-infected by the emerging variants.
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Affiliation(s)
- Sezanur Rahman
- Virology Laboratory, Infectious Diseases Division, icddr,b: International Centre for Diarrhoeal Disease Research, Bangladesh, 68 Shaheed Tajuddin Ahmed Sarani, Mohakhali, Dhaka, 1212, Bangladesh
| | - M Mahfuzur Rahman
- Virology Laboratory, Infectious Diseases Division, icddr,b: International Centre for Diarrhoeal Disease Research, Bangladesh, 68 Shaheed Tajuddin Ahmed Sarani, Mohakhali, Dhaka, 1212, Bangladesh
| | - Mojnu Miah
- Virology Laboratory, Infectious Diseases Division, icddr,b: International Centre for Diarrhoeal Disease Research, Bangladesh, 68 Shaheed Tajuddin Ahmed Sarani, Mohakhali, Dhaka, 1212, Bangladesh
| | - Mst Noorjahan Begum
- Virology Laboratory, Infectious Diseases Division, icddr,b: International Centre for Diarrhoeal Disease Research, Bangladesh, 68 Shaheed Tajuddin Ahmed Sarani, Mohakhali, Dhaka, 1212, Bangladesh
| | - Monira Sarmin
- Nutrition and Clinical Services Division, icddr,b: International Centre for Diarrhoeal Disease Research, Bangladesh, Mohakhali, Dhaka, 1212, Bangladesh
| | - Mustafa Mahfuz
- Nutrition and Clinical Services Division, icddr,b: International Centre for Diarrhoeal Disease Research, Bangladesh, Mohakhali, Dhaka, 1212, Bangladesh
| | - Mohammad Enayet Hossain
- Virology Laboratory, Infectious Diseases Division, icddr,b: International Centre for Diarrhoeal Disease Research, Bangladesh, 68 Shaheed Tajuddin Ahmed Sarani, Mohakhali, Dhaka, 1212, Bangladesh
| | - Mohammed Ziaur Rahman
- Virology Laboratory, Infectious Diseases Division, icddr,b: International Centre for Diarrhoeal Disease Research, Bangladesh, 68 Shaheed Tajuddin Ahmed Sarani, Mohakhali, Dhaka, 1212, Bangladesh
| | - Mohammod Jobayer Chisti
- Nutrition and Clinical Services Division, icddr,b: International Centre for Diarrhoeal Disease Research, Bangladesh, Mohakhali, Dhaka, 1212, Bangladesh
| | - Tahmeed Ahmed
- Nutrition and Clinical Services Division, icddr,b: International Centre for Diarrhoeal Disease Research, Bangladesh, Mohakhali, Dhaka, 1212, Bangladesh
| | - Shams El Arifeen
- Maternal and Child Health Division, icddr,b: International Centre for Diarrhoeal Disease Research, Bangladesh, Mohakhali, Dhaka, 1212, Bangladesh
| | - Mustafizur Rahman
- Virology Laboratory, Infectious Diseases Division, icddr,b: International Centre for Diarrhoeal Disease Research, Bangladesh, 68 Shaheed Tajuddin Ahmed Sarani, Mohakhali, Dhaka, 1212, Bangladesh.
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Focosi D, Maggi F, Casadevall A. Mucosal Vaccines, Sterilizing Immunity, and the Future of SARS-CoV-2 Virulence. Viruses 2022; 14:187. [PMID: 35215783 PMCID: PMC8878800 DOI: 10.3390/v14020187] [Citation(s) in RCA: 58] [Impact Index Per Article: 19.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/24/2021] [Revised: 01/15/2022] [Accepted: 01/17/2022] [Indexed: 02/01/2023] Open
Abstract
Sterilizing immunity after vaccination is desirable to prevent the spread of infection from vaccinees, which can be especially dangerous in hospital settings while managing frail patients. Sterilizing immunity requires neutralizing antibodies at the site of infection, which for respiratory viruses such as SARS-CoV-2 implies the occurrence of neutralizing IgA in mucosal secretions. Systemic vaccination by intramuscular delivery induces no or low-titer neutralizing IgA against vaccine antigens. Mucosal priming or boosting, is needed to provide sterilizing immunity. On the other side of the coin, sterilizing immunity, by zeroing interhuman transmission, could confine SARS-CoV-2 in animal reservoirs, preventing spontaneous attenuation of virulence in humans as presumably happened with the endemic coronaviruses. We review here the pros and cons of each vaccination strategy, the current mucosal SARS-CoV-2 vaccines under development, and their implications for public health.
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Affiliation(s)
- Daniele Focosi
- North-Western Tuscany Blood Bank, Pisa University Hospital, 56124 Pisa, Italy
| | - Fabrizio Maggi
- Department of Medicine and Surgery, University of Insubria, 21100 Varese, Italy;
| | - Arturo Casadevall
- Department of Medicine, Johns Hopkins School of Public Health and School of Medicine, Baltimore, MD 21218, USA;
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38
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Long-term decay of anti-RBD IgG titers after BNT162b2 vaccination is not mirrored by loss of neutralizing bioactivity against SARS-CoV-2. Clin Chim Acta 2022; 524:11-17. [PMID: 34843705 PMCID: PMC8630423 DOI: 10.1016/j.cca.2021.11.023] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2021] [Revised: 11/16/2021] [Accepted: 11/24/2021] [Indexed: 12/16/2022]
Abstract
BACKGROUND AND AIMS Long-term kinetics of anti-RBD IgG and neutralizing antibodies were analyzed in a cohort of COVID-19 naïve health care workers (HCW) undergoing SARS-CoV-2 vaccination. METHODS An anti-RBD IgG immunoassay and a surrogate virus neutralization test (sVNT) were performed at different time points up to 6 months after vaccination in 57 HCWs. Values of anti-RBD IgG predicting an high neutralizing bioactivity (>60%) were also calculated. RESULTS Mean (range) values of anti-RBD IgG were 294.7 (11.6-1554), 2583 (398-8391), 320.4 (42.3-1134) BAU/mL at T1 (21 days after the 1st dose [T0]), T2 (30 days after the 2nd dose) and T3 (+180 days after T0), respectively. Mean (range) percentages of neutralization (NS%) were 24 (0-76), 86 (59-96) and 82 (52-99) at T1, T2 and T3, respectively. Anti-RBD IgG values and NS% were positively correlated at T2 and T3 while anti-RBD IgG value predicting a NS% > 60 markedly differed at T2 and T3 (594 vs. 108 BAU/mL, respectively). CONCLUSION While a high neutralizing bioactivity was maintained at least 6 months after vaccination in almost all individuals, the mean values of anti-RBD-IgG showed a marked decline at 6 months. The absolute value of anti-RBD IgG is a poor marker of neutralizing bioactivity.
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39
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Verburgh ML, Boyd A, Wit FWNM, Schim van der Loeff MF, van der Valk M, Bakker M, Kootstra NA, van der Hoek L, Reiss P. Similar risk of SARS-CoV-2 infection and similar nucleocapsid antibody levels in people with well-controlled HIV and a comparable cohort of people without HIV. J Infect Dis 2021; 225:1937-1947. [PMID: 34929034 PMCID: PMC8755357 DOI: 10.1093/infdis/jiab616] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2021] [Accepted: 12/16/2021] [Indexed: 11/12/2022] Open
Abstract
BACKGROUND Within the ongoing AGEhIV Cohort Study in Amsterdam, we prospectively compared the incidence of and risk factors for SARS-CoV-2 infection between HIV-positive and -negative participants. Moreover, we compared SARS-CoV-2 nucleocapsid antibody levels between participants with incident infection from both groups. METHODS Starting in September 2020, consenting HIV-positive and HIV-negative participants were assessed 6-monthly for incident SARS-CoV-2 infection, using combined IgA/IgM/IgG SARS-CoV-2 nucleocapsid antibody assay. Cumulative incidence of SARS-CoV-2 infection and associated risk factors were assessed from February 27, 2020 through April 30, 2021 using complementary log-log regression. In those with incident SARS-CoV-2 infection, N-antibody levels were compared between groups using linear regression. RESULTS 241 HIV-positive (99.2% virally suppressed) and 326 HIV-negative AGEhIV participants were included in this study. Cumulative SARS-CoV-2 incidence by April 2021 was 13.4% and 11.6% in HIV-positive and HIV-negative participants, respectively (p=0.61). Younger age and African origin were independently associated with incident infection. In those with incident infection, only self-reported fever, but not HIV status, was associated with higher N-antibody levels. CONCLUSIONS HIV-positive individuals with suppressed viremia and adequate CD4 cell counts were had similar risk of SARS-CoV-2 acquisition, and had similar SARS-CoV-2 N-antibody levels following infection compared to a comparable cohort of HIV-negative people.
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Affiliation(s)
- Myrthe L Verburgh
- Amsterdam University Medical Centers, Department of Infectious Diseases, Amsterdam Infection and Immunity Institute, Amsterdam, The Netherlands.,Department of Global Health, Amsterdam Institute for Global Health and Development, Amsterdam, The Netherlands
| | - Anders Boyd
- HIV Monitoring Foundation, Amsterdam, The Netherlands.,Department of Infectious Diseases, Public Health Service of Amsterdam, Amsterdam, The Netherlands
| | - Ferdinand W N M Wit
- Amsterdam University Medical Centers, Department of Infectious Diseases, Amsterdam Infection and Immunity Institute, Amsterdam, The Netherlands.,HIV Monitoring Foundation, Amsterdam, The Netherlands
| | - Maarten F Schim van der Loeff
- Amsterdam University Medical Centers, Department of Infectious Diseases, Amsterdam Infection and Immunity Institute, Amsterdam, The Netherlands.,Department of Infectious Diseases, Public Health Service of Amsterdam, Amsterdam, The Netherlands
| | - Marc van der Valk
- Amsterdam University Medical Centers, Department of Infectious Diseases, Amsterdam Infection and Immunity Institute, Amsterdam, The Netherlands.,HIV Monitoring Foundation, Amsterdam, The Netherlands
| | - Margreet Bakker
- Amsterdam University Medical Centers, Department of Medical Microbiology and Infection Prevention, Laboratory of Experimental Virology, Amsterdam Infection and Immunity Institute, Amsterdam, The Netherlands
| | - Neeltje A Kootstra
- Amsterdam University Medical Centers, Department of Experimental Immunology, Amsterdam Infection and Immunity Institute, Amsterdam, The Netherlands
| | - Lia van der Hoek
- Amsterdam University Medical Centers, Department of Medical Microbiology and Infection Prevention, Laboratory of Experimental Virology, Amsterdam Infection and Immunity Institute, Amsterdam, The Netherlands
| | - Peter Reiss
- Amsterdam University Medical Centers, Department of Infectious Diseases, Amsterdam Infection and Immunity Institute, Amsterdam, The Netherlands.,Department of Global Health, Amsterdam Institute for Global Health and Development, Amsterdam, The Netherlands
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Boyton RJ, Altmann DM. The immunology of asymptomatic SARS-CoV-2 infection: what are the key questions? Nat Rev Immunol 2021; 21:762-768. [PMID: 34667307 PMCID: PMC8525456 DOI: 10.1038/s41577-021-00631-x] [Citation(s) in RCA: 63] [Impact Index Per Article: 15.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/20/2021] [Indexed: 02/07/2023]
Abstract
An important challenge during the COVID-19 pandemic has been to understand asymptomatic disease and the extent to which this may be a source of transmission. As asymptomatic disease is by definition hard to screen for, there is a lack of clarity about this aspect of the COVID-19 spectrum. Studies have considered whether the prevalence of asymptomatic disease is determined by differences in age, demographics, viral load, duration of shedding, and magnitude or durability of immunity. It is clear that adaptive immunity is strongly activated during asymptomatic infection, but some features of the T cell and antibody response may differ from those in symptomatic disease. Areas that need greater clarity include the extent to which asymptomatic disease leads to persistent symptoms (long COVID), and the quality, quantity and durability of immune priming required to confer subsequent protection.
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Affiliation(s)
- Rosemary J Boyton
- Department of Infectious Disease, Faculty of Medicine, Imperial College London, London, UK.
- Lung Division, Royal Brompton and Harefield Hospitals, Guy's and St. Thomas' NHS Foundation Trust, London, UK.
| | - Daniel M Altmann
- Department of Immunology and Inflammation, Faculty of Medicine, Imperial College London, London, UK.
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Oosting SF, van der Veldt AAM, GeurtsvanKessel CH, Fehrmann RSN, van Binnendijk RS, Dingemans AMC, Smit EF, Hiltermann TJN, den Hartog G, Jalving M, Westphal TT, Bhattacharya A, van der Heiden M, Rimmelzwaan GF, Kvistborg P, Blank CU, Koopmans MPG, Huckriede ALW, van Els CACM, Rots NY, van Baarle D, Haanen JBAG, de Vries EGE. mRNA-1273 COVID-19 vaccination in patients receiving chemotherapy, immunotherapy, or chemoimmunotherapy for solid tumours: a prospective, multicentre, non-inferiority trial. Lancet Oncol 2021; 22:1681-1691. [PMID: 34767759 PMCID: PMC8577843 DOI: 10.1016/s1470-2045(21)00574-x] [Citation(s) in RCA: 112] [Impact Index Per Article: 28.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2021] [Revised: 09/15/2021] [Accepted: 09/16/2021] [Indexed: 02/06/2023]
Abstract
BACKGROUND Patients with cancer have an increased risk of complications from SARS-CoV-2 infection. Vaccination to prevent COVID-19 is recommended, but data on the immunogenicity and safety of COVID-19 vaccines for patients with solid tumours receiving systemic cancer treatment are scarce. Therefore, we aimed to assess the impact of immunotherapy, chemotherapy, and chemoimmunotherapy on the immunogenicity and safety of the mRNA-1273 (Moderna Biotech, Madrid, Spain) COVID-19 vaccine as part of the Vaccination Against COVID in Cancer (VOICE) trial. METHODS This prospective, multicentre, non-inferiority trial was done across three centres in the Netherlands. Individuals aged 18 years or older with a life expectancy of more than 12 months were enrolled into four cohorts: individuals without cancer (cohort A [control cohort]), and patients with solid tumours, regardless of stage and histology, treated with immunotherapy (cohort B), chemotherapy (cohort C), or chemoimmunotherapy (cohort D). Participants received two mRNA-1273 vaccinations of 100 μg in 0·5 mL intramuscularly, 28 days apart. The primary endpoint, analysed per protocol (excluding patients with a positive baseline sample [>10 binding antibody units (BAU)/mL], indicating previous SARS-CoV-2 infection), was defined as the SARS-CoV-2 spike S1-specific IgG serum antibody response (ie, SARS-CoV-2-binding antibody concentration of >10 BAU/mL) 28 days after the second vaccination. For the primary endpoint analysis, a non-inferiority design with a margin of 10% was used. We also assessed adverse events in all patients who received at least one vaccination, and recorded solicited adverse events in participants who received at least one vaccination but excluding those who already had seroconversion (>10 BAU/mL) at baseline. This study is ongoing and is registered with ClinicalTrials.gov, NCT04715438. FINDINGS Between Feb 17 and March 12, 2021, 791 participants were enrolled and followed up for a median of 122 days (IQR 118 to 128). A SARS-CoV-2-binding antibody response was found in 240 (100%; 95% CI 98 to 100) of 240 evaluable participants in cohort A, 130 (99%; 96 to >99) of 131 evaluable patients in cohort B, 223 (97%; 94 to 99) of 229 evaluable patients in cohort C, and 143 (100%; 97 to 100) of 143 evaluable patients in cohort D. The SARS-CoV-2-binding antibody response in each patient cohort was non-inferior compared with cohort A. No new safety signals were observed. Grade 3 or worse serious adverse events occurred in no participants in cohort A, three (2%) of 137 patients in cohort B, six (2%) of 244 patients in cohort C, and one (1%) of 163 patients in cohort D, with four events (two of fever, and one each of diarrhoea and febrile neutropenia) potentially related to the vaccination. There were no vaccine-related deaths. INTERPRETATION Most patients with cancer develop, while receiving chemotherapy, immunotherapy, or both for a solid tumour, an adequate antibody response to vaccination with the mRNA-1273 COVID-19 vaccine. The vaccine is also safe in these patients. The minority of patients with an inadequate response after two vaccinations might benefit from a third vaccination. FUNDING ZonMw, The Netherlands Organisation for Health Research and Development.
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Affiliation(s)
- Sjoukje F Oosting
- Department of Medical Oncology, University Medical Centre Groningen, University of Groningen, Groningen, Netherlands
| | - Astrid A M van der Veldt
- Department of Medical Oncology, Erasmus Medical Centre, Rotterdam, Netherlands; Department of Radiology and Nuclear Medicine, Erasmus Medical Centre, Rotterdam, Netherlands.
| | | | - Rudolf S N Fehrmann
- Department of Medical Oncology, University Medical Centre Groningen, University of Groningen, Groningen, Netherlands
| | - Rob S van Binnendijk
- Centre for Infectious Disease Control, National Institute for Public Health and the Environment, Bilthoven, Netherlands
| | | | - Egbert F Smit
- Department of Thoracic Oncology, Netherlands Cancer Institute, Amsterdam, Netherlands
| | - T Jeroen N Hiltermann
- Department of Pulmonary Diseases, University Medical Centre Groningen, University of Groningen, Groningen, Netherlands
| | - Gerco den Hartog
- Centre for Infectious Disease Control, National Institute for Public Health and the Environment, Bilthoven, Netherlands
| | - Mathilda Jalving
- Department of Medical Oncology, University Medical Centre Groningen, University of Groningen, Groningen, Netherlands
| | | | - Arkajyoti Bhattacharya
- Department of Medical Oncology, University Medical Centre Groningen, University of Groningen, Groningen, Netherlands
| | - Marieke van der Heiden
- Department of Medical Microbiology and Infection Prevention, University Medical Centre Groningen, University of Groningen, Groningen, Netherlands
| | - Guus F Rimmelzwaan
- Research Centre for Emerging Infections and Zoonoses, University of Veterinary Medicine Hannover, Hannover, Germany
| | - Pia Kvistborg
- Department of Molecular Oncology and Immunology, Netherlands Cancer Institute, Amsterdam, Netherlands
| | - Christian U Blank
- Department of Medical Oncology, Netherlands Cancer Institute, Amsterdam, Netherlands
| | | | - Anke L W Huckriede
- Department of Medical Microbiology and Infection Prevention, University Medical Centre Groningen, University of Groningen, Groningen, Netherlands
| | - Cecile A C M van Els
- Centre for Infectious Disease Control, National Institute for Public Health and the Environment, Bilthoven, Netherlands; Department of Biomolecular Health Sciences, Faculty of Veterinary Medicine, Utrecht University, Utrecht, Netherlands
| | - Nynke Y Rots
- Centre for Infectious Disease Control, National Institute for Public Health and the Environment, Bilthoven, Netherlands
| | - Debbie van Baarle
- Department of Medical Microbiology and Infection Prevention, University Medical Centre Groningen, University of Groningen, Groningen, Netherlands; Centre for Infectious Disease Control, National Institute for Public Health and the Environment, Bilthoven, Netherlands
| | - John B A G Haanen
- Department of Medical Oncology, Netherlands Cancer Institute, Amsterdam, Netherlands
| | - Elisabeth G E de Vries
- Department of Medical Oncology, University Medical Centre Groningen, University of Groningen, Groningen, Netherlands
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Dynamics of IgG-avidity and antibody levels after Covid-19. J Clin Virol 2021; 144:104986. [PMID: 34563862 PMCID: PMC8451979 DOI: 10.1016/j.jcv.2021.104986] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2021] [Revised: 09/10/2021] [Accepted: 09/15/2021] [Indexed: 01/08/2023]
Abstract
BACKGROUND A potentially important aspect of the humoral immune response to Covid-19 is avidity, the overall binding strength between antibody and antigen. As low avidity is associated with a risk of re- infection in several viral infections, avidity might be of value to predict risk for reinfection with covid-19. OBJECTIVES The purpose of this study was to describe the maturation of IgG avidity and the antibody-levels over time in patients with PCR-confirmed non-severe covid-19. STUDY DESIGN Prospective longitudinal cohort study including patients with RT-PCR confirmed covid-19. Blood samples were drawn 1, 3 and 6 months after infection. Antibody levels and IgG-avidity were analysed. RESULTS The majority had detectable s- and n-antibodies (88,1%, 89,1%, N = 75). The level of total n-antibodies significantly increased from 1 to 3 months (median value 28,3 vs 39,3 s/co, p<0.001) and significantly decreased from 3 to 6 months (median value 39,3 vs 17,1 s/co, p<0.001). A significant decrease in the IgG anti-spike levels (median value 37,6, 24,1 and 18,2 RU/ml, p<0.001) as well as a significant increase in the IgG-avidity index (median values 51,6, 66,0 and 71,0%, p<0.001) were seen from 1 to 3 to 6 months. CONCLUSION We found a significant ongoing increase in avidity maturation after Covid-19 whilst the levels of antibodies were declining, suggesting a possible aspect of long-term immunity.
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Immunity after COVID-19 and vaccination: follow-up study over 1 year among medical personnel. Infection 2021; 50:439-446. [PMID: 34562263 PMCID: PMC8475821 DOI: 10.1007/s15010-021-01703-9] [Citation(s) in RCA: 23] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2021] [Accepted: 09/18/2021] [Indexed: 12/17/2022]
Abstract
BACKGROUND The long-term course of immunity among individuals with a history of COVID-19, in particular among those who received a booster vaccination, has not been well defined so far. METHODS SARS-CoV-2-specific antibody levels were measured by ELISA over 1 year among 136 health care workers infected during the first COVID-19 wave and in a subgroup after booster vaccination approximately 1 year later. Furthermore, spike-protein-reactive memory T cells were quantified approximately 7 months after the infection and after booster vaccination. Thirty healthy individuals without history of COVID-19 who were routinely vaccinated served as controls. RESULTS Levels of SARS-CoV-2-specific IgM- and IgA-antibodies showed a rapid decay over time, whereas IgG-antibody levels decreased more slowly. Among individuals with history of COVID-19, booster vaccination induced very high IgG- and to a lesser degree IgA-antibodies. Antibody levels were significantly higher after booster vaccination than after recovery from COVID-19. After vaccination with a two-dose schedule, healthy control subjects developed similar antibody levels as compared to individuals with history of COVID-19 and booster vaccination. SARS-CoV-2-specific memory T cell counts did not correlate with antibody levels. None of the study participants suffered from a reinfection. CONCLUSIONS Booster vaccination induces high antibody levels in individuals with a history of COVID-19 that exceeds by far levels observed after recovery. SARS-CoV-2-specific antibody levels of similar magnitude were achieved in healthy, COVID-19-naïve individuals after routine two-dose vaccination.
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Chen S, Flegg JA, White LJ, Aguas R. Levels of SARS-CoV-2 population exposure are considerably higher than suggested by seroprevalence surveys. PLoS Comput Biol 2021; 17:e1009436. [PMID: 34543264 PMCID: PMC8483393 DOI: 10.1371/journal.pcbi.1009436] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2021] [Revised: 09/30/2021] [Accepted: 09/08/2021] [Indexed: 01/13/2023] Open
Abstract
Accurate knowledge of prior population exposure has critical ramifications for preparedness plans for future SARS-CoV-2 epidemic waves and vaccine prioritization strategies. Serological studies can be used to estimate levels of past exposure and thus position populations in their epidemic timeline. To circumvent biases introduced by the decay in antibody titers over time, methods for estimating population exposure should account for seroreversion, to reflect that changes in seroprevalence measures over time are the net effect of increases due to recent transmission and decreases due to antibody waning. Here, we present a new method that combines multiple datasets (serology, mortality, and virus positivity ratios) to estimate seroreversion time and infection fatality ratios (IFR) and simultaneously infer population exposure levels. The results indicate that the average time to seroreversion is around six months, IFR is 0.54% to 1.3%, and true exposure may be more than double the current seroprevalence levels reported for several regions of England.
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Affiliation(s)
- Siyu Chen
- Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, Nuffield Department of Medicine, University of Oxford, United Kingdom
| | - Jennifer A Flegg
- School of Mathematics and Statistics, University of Melbourne, Melbourne, Australia
| | - Lisa J White
- Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, Nuffield Department of Medicine, University of Oxford, United Kingdom
| | - Ricardo Aguas
- Centre for Tropical Medicine and Global Health, Nuffield Department of Medicine, University of Oxford, Oxford, United Kingdom
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Kho MML, Reinders MEJ, Baan CC, van Baarle D, Bemelman FJ, Diavatopoulos DA, Gansevoort RT, van der Klis FRM, Koopmans MPG, Messchendorp AL, van der Molen RG, Remmerswaal EBM, Rots N, Vart P, de Vries RD, Hilbrands LB, Sanders JSF. The RECOVAC IR study: the immune response and safety of the mRNA-1273 COVID-19 vaccine in patients with chronic kidney disease, on dialysis or living with a kidney transplant. Nephrol Dial Transplant 2021; 36:1761-1764. [PMID: 34450647 PMCID: PMC8241423 DOI: 10.1093/ndt/gfab186] [Citation(s) in RCA: 30] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2021] [Indexed: 12/14/2022] Open
Affiliation(s)
- Marcia M L Kho
- Department of Internal Medicine, Erasmus Medical Center Transplant Institute, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Marlies E J Reinders
- Department of Internal Medicine, Erasmus Medical Center Transplant Institute, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Carla C Baan
- Department of Internal Medicine, Erasmus Medical Center Transplant Institute, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Debbie van Baarle
- Department of Medical Microbiology and Infection Prevention, University Medical Center Groningen, Groningen, The Netherlands
- Center for Infectious Diseases Control, National Institute for Public Health and the Environment, Bilthoven, The Netherlands
| | - Frederike J Bemelman
- Renal Transplant Unit, Amsterdam University Medical Center, University of Amsterdam, Amsterdam, The Netherlands
| | - Dimitri A Diavatopoulos
- Department of Laboratory Medicine, Laboratory of Medical Immunology, Section Pediatric Infectious Diseases, Radboud Institute for Molecular Life Sciences, Radboud Center for Infectious Diseases, Radboud University Nijmegen Medical Center, Nijmegen, The Netherlands
| | - Ron T Gansevoort
- Division of Nephrology, Department of Internal Medicine, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Fiona R M van der Klis
- Center for Infectious Diseases Control, National Institute for Public Health and the Environment, Bilthoven, The Netherlands
| | - Marion P G Koopmans
- Department of Viroscience, Erasmus Medical Center, Rotterdam, The Netherlands
| | - A Lianne Messchendorp
- Division of Nephrology, Department of Internal Medicine, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Renate G van der Molen
- Department of Laboratory Medicine, Laboratory of Medical Immunology, Radboud Institute for Molecular Life Sciences, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Ester B M Remmerswaal
- Department of Experimental Immunology, Amsterdam University Medical Center, Amsterdam Infection and Immunity Institute, University of Amsterdam, Amsterdam, The Netherlands
| | - Nynke Rots
- Center for Infectious Diseases Control, National Institute for Public Health and the Environment, Bilthoven, The Netherlands
| | - Priya Vart
- Division of Nephrology, Department of Internal Medicine, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
- Department of Health Evidence, Radboud University Medical Center, Radboud University, Nijmegen, The Netherlands
- Department of Cardiology, Radboud University Medical Center, Radboud University, Nijmegen, The Netherlands
| | - Rory D de Vries
- Department of Viroscience, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Luuk B Hilbrands
- Department of Nephrology, Radboud University Medical Center, Radboud Institute for Health Sciences, Nijmegen, The Netherlands
| | - Jan-Stephan F Sanders
- Division of Nephrology, Department of Internal Medicine, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
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Varona JF, Madurga R, Peñalver F, Abarca E, Almirall C, Cruz M, Ramos E, Castellano-Vazquez JM. kinetics of anti-SARS-CoV-2 antibodies over time. Results of 10 month follow up in over 300 seropositive Health Care Workers. Eur J Intern Med 2021; 89:97-103. [PMID: 34090748 PMCID: PMC8148432 DOI: 10.1016/j.ejim.2021.05.028] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/10/2021] [Revised: 05/07/2021] [Accepted: 05/10/2021] [Indexed: 12/11/2022]
Abstract
BACKGROUND The kinetics of the antibodies against severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) needs to be evaluated since long-term duration of antibody remains largely unknown, particularly in infected healthcare workers (HCW). METHODS Prospective study, evaluating the longitudinal profile of anti-SARS-CoV-2 antibody titers in a random sample of 331 seropositive healthcare workers (HCW) of Spanish Hospitals Group. Serial measurements of serum IgG-anti-SARS-CoV-2 were obtained at baseline (April-May,2020), and in 2 follow-up visits. Linear mixed models were used to investigate antibody kinetics and associated factors. RESULTS A total of 306 seropositive subjects (median age: 44.7years;69.9% female) were included in the final analysis. After a median follow-up of 274 days between baseline and final measurement, 235(76.8%) maintained seropositivity. Antibody titers decreased in 82.0%, while remained stable in 13.1%. Factors associated with stability of antibodies over time included age≥45 years, higher baseline titers, severe/moderate infection and high-grade exposure to COVID-19 patients. In declining profile, estimated mean antibody half-life was 146.3 days(95%CI:138.6-154.9) from baseline. Multivariate models show independent longer durability of antibodies in HCW with high-risk exposure to COVID-19 patients (+14.1 days;95%CI:0.6-40.2) and with symptomatic COVID-19 (+14.1 days;95%CI:0.9-43.0). The estimated mean time to loss antibodies was 375(95% CI:342-408) days from baseline. CONCLUSIONS We present the first study measuring the kinetics of antibody response against SARS-CoV-2 in HCW beyond 6 months. Most participants remained seropositive after 9 months but presented a significant decline in antibody-titers. Two distinct antibody dynamic profiles were observed (declining vs. stable). Independent factors associated with longer durability of antibodies were symptomatic infection and higher exposure to COVID-19 patients.
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Affiliation(s)
- Jose F Varona
- Departamento de Medicina Interna, Hospital Universitario HM Monteprincipe, HM Hospitales, Madrid, Spain; Facultad de Medicina, Universidad San Pablo-CEU, CEU Universities, Madrid, Spain.
| | - Rodrigo Madurga
- Fundación de Investigación, HM Hospitales, Madrid, Spain; Facultad de Ciencias Experimentales, Universidad Francisco de Vitoria, Madrid, Spain
| | - Francisco Peñalver
- Departamento de Seguridad, Salud y Bienestar de HM Hospitales, Madrid, Spain
| | - Elena Abarca
- Servicio de Laboratorio, HM Hospitales, Madrid, Spain
| | | | - Marta Cruz
- Servicio de Laboratorio, HM Hospitales, Madrid, Spain
| | - Enrique Ramos
- Servicio de Laboratorio, HM Hospitales, Madrid, Spain
| | - Jose María Castellano-Vazquez
- Facultad de Medicina, Universidad San Pablo-CEU, CEU Universities, Madrid, Spain; Fundación de Investigación, HM Hospitales, Madrid, Spain; Departamento de Cardiología, Centro Integral de Enfermedades Cardiovasculares (CIEC), Hospital Universitario HM Monteprincipe, Madrid, Spain; Centro Nacional de Investigaciones Cardiovasculares (CNIC), Instituto de Salud Carlos III, Madrid, Spain
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Estimating the asymptomatic proportion of SARS-CoV-2 infection in the general population: Analysis of nationwide serosurvey data in the Netherlands. Eur J Epidemiol 2021; 36:735-739. [PMID: 34114187 PMCID: PMC8191704 DOI: 10.1007/s10654-021-00768-y] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2021] [Accepted: 05/28/2021] [Indexed: 02/07/2023]
Abstract
BACKGROUND The proportion of SARS-CoV-2 positive persons who are asymptomatic-and whether this proportion is age-dependent-are still open research questions. Because an unknown proportion of reported symptoms among SARS-CoV-2 positives will be attributable to another infection or affliction, the observed, or 'crude' proportion without symptoms may underestimate the proportion of persons without symptoms that are caused by SARS-CoV-2 infection. METHODS Based on two rounds of a large population-based serological study comprising test results on seropositivity and self-reported symptom history conducted in April/May and June/July 2020 in the Netherlands (n = 7517), we estimated the proportion of reported symptoms among those persons infected with SARS-CoV-2 that is attributable to this infection, where the set of relevant symptoms fulfills the ECDC case definition of COVID-19, using inferential methods for the attributable risk (AR). Generalised additive regression modelling was used to estimate the age-dependent relative risk (RR) of reported symptoms, and the AR and asymptomatic proportion (AP) were calculated from the fitted RR. RESULTS Using age-aggregated data, the 'crude' AP was 37% but the model-estimated AP was 65% (95% CI 63-68%). The estimated AP varied with age, from 74% (95% CI 65-90%) for < 20 years, to 61% (95% CI 57-65%) for the 50-59 years age-group. CONCLUSION Whereas the 'crude' AP represents a lower bound for the proportion of persons infected with SARS-CoV-2 without COVID-19 symptoms, the AP as estimated via an attributable risk approach represents an upper bound. Age-specific AP estimates can inform the implementation of public health actions such as targetted virological testing and therefore enhance containment strategies.
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Méndez-Echevarría A, Sainz T, Falces-Romero I, de Felipe B, Escolano L, Alcolea S, Pertiñez L, Neth O, Calvo C. Long-Term Persistence of Anti-SARS-CoV-2 Antibodies in a Pediatric Population. Pathogens 2021; 10:pathogens10060700. [PMID: 34199852 PMCID: PMC8226775 DOI: 10.3390/pathogens10060700] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2021] [Revised: 06/01/2021] [Accepted: 06/02/2021] [Indexed: 01/10/2023] Open
Abstract
Background: Antibody dynamics over time after SARS-CoV-2 infection are still unclear, and data regarding children are scarce. Methods: A prospective cohort study was performed including children infected by SARS-CoV-2 between March and May 2020. Patients were categorized into 3 groups: children admitted with COVID-19; outpatient children with mild COVID-19; and seropositive children participating in a seroprevalence study among cohabitants of infected healthcare workers (HCWs). Six months after the infection, a new serological control was performed. Results: A total of 58 children were included, 50% male (median age 8.3 [IQR 2.8–13.5] years). The median time between the two serological studies was 186 (IQR 176–192) days, and 86% (48/56) of the children maintained positive IgG six months after the infection. This percentage was 100% in admitted patients and 78% among the rest of the included children (p = 0.022). The diagnoses of lower respiratory tract infection and multisystemic inflammatory syndrome were associated with persistence of IgG (p = 0.035). The children of HCWs in the seroprevalence study lost antibodies more often (p = 0.017). Initial IgG titers of the children who remained positive six months after the infection were significantly higher (p = 0.008). Conclusions: Most children infected by SARS-CoV-2 maintain a positive serological response six months after the infection. Those children who lost their IgG titer were more frequently asymptomatic or mildly symptomatic, presenting with low antibody titers after the infection.
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Affiliation(s)
- Ana Méndez-Echevarría
- Pediatrics and Infectious Disease Unit, La Paz University Hospital, Translational Research Network of Pediatric Infectious Diseases (RITIP), 28049 Madrid, Spain; (T.S.); (L.E.); (S.A.); (L.P.); (C.C.)
- Correspondence:
| | - Talía Sainz
- Pediatrics and Infectious Disease Unit, La Paz University Hospital, Translational Research Network of Pediatric Infectious Diseases (RITIP), 28049 Madrid, Spain; (T.S.); (L.E.); (S.A.); (L.P.); (C.C.)
| | - Iker Falces-Romero
- Microbiology Department, La Paz University Hospital, 28049 Madrid, Spain;
| | - Beatriz de Felipe
- Pediatrics, Infectious Diseases, Rheumatology and Immunology Department, University Hospital Virgen del Rocío, 41013 Sevilla, Spain; (B.d.F.); (O.N.)
| | - Lucia Escolano
- Pediatrics and Infectious Disease Unit, La Paz University Hospital, Translational Research Network of Pediatric Infectious Diseases (RITIP), 28049 Madrid, Spain; (T.S.); (L.E.); (S.A.); (L.P.); (C.C.)
| | - Sonia Alcolea
- Pediatrics and Infectious Disease Unit, La Paz University Hospital, Translational Research Network of Pediatric Infectious Diseases (RITIP), 28049 Madrid, Spain; (T.S.); (L.E.); (S.A.); (L.P.); (C.C.)
| | - Lidia Pertiñez
- Pediatrics and Infectious Disease Unit, La Paz University Hospital, Translational Research Network of Pediatric Infectious Diseases (RITIP), 28049 Madrid, Spain; (T.S.); (L.E.); (S.A.); (L.P.); (C.C.)
| | - Olaf Neth
- Pediatrics, Infectious Diseases, Rheumatology and Immunology Department, University Hospital Virgen del Rocío, 41013 Sevilla, Spain; (B.d.F.); (O.N.)
| | - Cristina Calvo
- Pediatrics and Infectious Disease Unit, La Paz University Hospital, Translational Research Network of Pediatric Infectious Diseases (RITIP), 28049 Madrid, Spain; (T.S.); (L.E.); (S.A.); (L.P.); (C.C.)
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Geers D, Shamier MC, Bogers S, den Hartog G, Gommers L, Nieuwkoop NN, Schmitz KS, Rijsbergen LC, van Osch JAT, Dijkhuizen E, Smits G, Comvalius A, van Mourik D, Caniels TG, van Gils MJ, Sanders RW, Oude Munnink BB, Molenkamp R, de Jager HJ, Haagmans BL, de Swart RL, Koopmans MPG, van Binnendijk RS, de Vries RD, GeurtsvanKessel CH. SARS-CoV-2 variants of concern partially escape humoral but not T-cell responses in COVID-19 convalescent donors and vaccinees. Sci Immunol 2021; 6:eabj1750. [PMID: 34035118 PMCID: PMC9268159 DOI: 10.1126/sciimmunol.abj1750] [Citation(s) in RCA: 401] [Impact Index Per Article: 100.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2021] [Accepted: 05/20/2021] [Indexed: 12/12/2022]
Abstract
The emergence of SARS-CoV-2 variants harboring mutations in the spike (S) protein has raised concern about potential immune escape. Here, we studied humoral and cellular immune responses to wild type SARS-CoV-2 and the B.1.1.7 and B.1.351 variants of concern in a cohort of 121 BNT162b2 mRNA-vaccinated health care workers (HCW). Twenty-three HCW recovered from mild COVID-19 disease and exhibited a recall response with high levels of SARS-CoV-2-specific functional antibodies and virus-specific T cells after a single vaccination. Specific immune responses were also detected in seronegative HCW after one vaccination, but a second dose was required to reach high levels of functional antibodies and cellular immune responses in all individuals. Vaccination-induced antibodies cross-neutralized the variants B.1.1.7 and B.1.351, but the neutralizing capacity and Fc-mediated functionality against B.1.351 was consistently 2- to 4-fold lower than to the homologous virus. In addition, peripheral blood mononuclear cells were stimulated with peptide pools spanning the mutated S regions of B.1.1.7 and B.1.351 to detect cross-reactivity of SARS-CoV-2-specific T cells with variants. Importantly, we observed no differences in CD4+ T-cell activation in response to variant antigens, indicating that the B.1.1.7 and B.1.351 S proteins do not escape T-cell-mediated immunity elicited by the wild type S protein. In conclusion, this study shows that some variants can partially escape humoral immunity induced by SARS-CoV-2 infection or BNT162b2 vaccination, but S-specific CD4+ T-cell activation is not affected by the mutations in the B.1.1.7 and B.1.351 variants.
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Affiliation(s)
- Daryl Geers
- Department of Viroscience, Erasmus MC; Rotterdam, the Netherlands
| | - Marc C Shamier
- Department of Viroscience, Erasmus MC; Rotterdam, the Netherlands
| | - Susanne Bogers
- Department of Viroscience, Erasmus MC; Rotterdam, the Netherlands
| | - Gerco den Hartog
- Centre for Immunology of Infectious Diseases and Vaccines, National Institute for Public Health and the Environment; Bilthoven, the Netherlands
| | - Lennert Gommers
- Department of Viroscience, Erasmus MC; Rotterdam, the Netherlands
| | | | | | | | | | - Emma Dijkhuizen
- Department of Viroscience, Erasmus MC; Rotterdam, the Netherlands
| | - Gaby Smits
- Centre for Immunology of Infectious Diseases and Vaccines, National Institute for Public Health and the Environment; Bilthoven, the Netherlands
| | | | | | - Tom G Caniels
- Department of Medical Microbiology, Amsterdam UMC; Amsterdam, the Netherlands
| | - Marit J van Gils
- Department of Medical Microbiology, Amsterdam UMC; Amsterdam, the Netherlands
| | - Rogier W Sanders
- Department of Medical Microbiology, Amsterdam UMC; Amsterdam, the Netherlands
- Department of Microbiology and Immunology, Weill Medical College of Cornell University; New York, NY 10021, USA
| | | | | | - Herbert J de Jager
- Department of Occupational Health Services, Erasmus MC; Rotterdam, the Netherlands
| | - Bart L Haagmans
- Department of Viroscience, Erasmus MC; Rotterdam, the Netherlands
| | - Rik L de Swart
- Department of Viroscience, Erasmus MC; Rotterdam, the Netherlands
| | | | - Robert S van Binnendijk
- Centre for Immunology of Infectious Diseases and Vaccines, National Institute for Public Health and the Environment; Bilthoven, the Netherlands
| | - Rory D de Vries
- Department of Viroscience, Erasmus MC; Rotterdam, the Netherlands.
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50
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Maple PAC. Population (Antibody) Testing for COVID-19-Technical Challenges, Application and Relevance, an English Perspective. Vaccines (Basel) 2021; 9:550. [PMID: 34073985 PMCID: PMC8225097 DOI: 10.3390/vaccines9060550] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2021] [Revised: 05/17/2021] [Accepted: 05/21/2021] [Indexed: 01/08/2023] Open
Abstract
In the UK, population virus or antibody testing using virus swabs, serum samples, blood spots or oral fluids has been performed to a limited extent for several diseases including measles, mumps, rubella and hepatitis and HIV. The collection of population-based infection and immunity data is key to the monitoring of disease prevalence and assessing the effectiveness of interventions such as behavioural modifications and vaccination. In particular, the biological properties of severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) and its interaction with the human host have presented several challenges towards the development of population-based immunity testing. Measuring SARS-CoV-2 immunity requires the development of antibody assays of acceptable sensitivity and specificity which are capable of accurately detecting seroprevalence and differentiating protection from non-protective responses. Now that anti-COVID-19 vaccines are becoming available there is a pressing need to measure vaccine efficacy and the development of herd immunity. The unprecedented impact of the SARS-CoV-2 pandemic in the UK in terms of morbidity, mortality, and economic and social disruption has mobilized a national scientific effort to learn more about this virus. In this article, the challenges of testing for SARS-CoV-2 infection, particularly in relation to population-based immunity testing, will be considered and examples given of relevant national level studies.
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Affiliation(s)
- Peter A. C. Maple
- Clinical Neurology Research Group, Department of Neurology, Division of Clinical Neuroscience, University of Nottingham School of Medicine, Queen’s Medical Centre, Nottingham NG7 2UH, UK;
- Molecular (COVID) Department, UK Lighthouse Laboratory, Cheshire SK10 4TG, UK
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