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Schuster A, Kopping EJ, Caton JA, Spear E, Fernandez S, Fowler RC, Wu J, Hughes S, Seligson AL, Hannah Gould L. Disparities in anti-nucleocapsid and anti-spike SARS-CoV-2 antibody prevalence in NYC - April-October 2021. Ann Epidemiol 2025; 102:1-7. [PMID: 39733977 DOI: 10.1016/j.annepidem.2024.12.008] [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: 03/22/2024] [Revised: 10/11/2024] [Accepted: 12/16/2024] [Indexed: 12/31/2024]
Abstract
PURPOSE Between April-October 2021, the New York City (NYC) Health Department conducted a serosurvey to assess prevalence of SARS-CoV-2 antibodies in NYC adults as part of continued COVID-19 surveillance efforts. METHODS Whole blood specimens were collected from 1035 adult NYC residents recruited from an annual population-based health surveillance survey. Specimens were tested for the presence of anti-SARS-CoV-2 spike protein (anti-spike) and anti-SARS-CoV-2 nucleocapsid protein (anti-nucleocapsid) antibodies. RESULTS 91.6 % (95 % CI: 87.45-94.50) had anti-spike antibodies and 30.4 % (95 % CI: 24.78-36.7) had anti-nucleocapsid antibodies. Almost all participants with anti-spike antibodies produced antibodies capable of neutralizing SARS-CoV-2. Overall, anti-spike positivity was lowest (85.9 % [95 % CI: 74.01-92.85) in Hispanic and Latino New York City residents. Anti-nucleocapsid seropositivity was lowest in Asian/Pacific Islander New York City residents (14.1%, 95% CI: 8.0-23.5). Continued disparities persist in SARS-CoV-2 seropositivity regarding ethnic and sociodemographic factors. CONCLUSIONS SARS-CoV-2 seropositivity was high in 2021 in NYC, with evidence of continued inequities associated with seroprevalence.
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Affiliation(s)
- Anne Schuster
- Bureau of Epidemiology Services, Center for Population Health Data Science, NYC Department of Health & Mental Hygiene, 42-09 28th St, Queens, NY 11101, USA.
| | - Erik J Kopping
- NYC Public Health Laboratory, NYC Department of Health & Mental Hygiene, 455 1st Ave, New York, NY 10016, USA
| | - Jo-Anne Caton
- Bureau of Epidemiology Services, Center for Population Health Data Science, NYC Department of Health & Mental Hygiene, 42-09 28th St, Queens, NY 11101, USA
| | - Emily Spear
- Bureau of Epidemiology Services, Center for Population Health Data Science, NYC Department of Health & Mental Hygiene, 42-09 28th St, Queens, NY 11101, USA
| | - Steven Fernandez
- Bureau of Epidemiology Services, Center for Population Health Data Science, NYC Department of Health & Mental Hygiene, 42-09 28th St, Queens, NY 11101, USA
| | - Randal C Fowler
- NYC Public Health Laboratory, NYC Department of Health & Mental Hygiene, 455 1st Ave, New York, NY 10016, USA
| | - Jing Wu
- NYC Public Health Laboratory, NYC Department of Health & Mental Hygiene, 455 1st Ave, New York, NY 10016, USA
| | - Scott Hughes
- NYC Public Health Laboratory, NYC Department of Health & Mental Hygiene, 455 1st Ave, New York, NY 10016, USA
| | - Amber Levanon Seligson
- Bureau of Epidemiology Services, Center for Population Health Data Science, NYC Department of Health & Mental Hygiene, 42-09 28th St, Queens, NY 11101, USA
| | - L Hannah Gould
- Bureau of Epidemiology Services, Center for Population Health Data Science, NYC Department of Health & Mental Hygiene, 42-09 28th St, Queens, NY 11101, USA
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van Ewijk CE, Suárez Hernández S, Jacobi RH, Knol MJ, Hahné SJ, Wijmenga-Monsuur AJ, Boer MC, van de Garde MD. Innate immune response after BNT162b2 COVID-19 vaccination associates with reactogenicity. Vaccine X 2025; 22:100593. [PMID: 39734394 PMCID: PMC11681879 DOI: 10.1016/j.jvacx.2024.100593] [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: 11/27/2024] [Accepted: 12/02/2024] [Indexed: 12/31/2024] Open
Abstract
Background The innate immune response is important for the development of the specific adaptive immunity, however it may also be associated with reactogenicity after vaccination. We explore the association between innate responsiveness, reactogenicity, and antibody response after first COVID-19 vaccination. Methods We included 146 healthy Dutch individuals aged 12-59 who received their first BNT162b2 (Comirnaty, Pfizer) COVID-19 vaccination. Data on reactogenicity were collected for each individual through daily questionnaires from day 0-5 after vaccination. From 60 participants, serum (adults) and plasma (adolescents) samples were collected before and/or 2 ± 1 days after vaccination to measure cytokines/chemokines as markers for innate responsiveness. Each individual was categorised into innate low, intermediate and high responder based on above or below the median value for each analyte detected after vaccination. For 137 participants, serum was collected at day 28 after vaccination for Spike S1- and RBD-antibody concentration. The associations between reactogenicity and/or innate responsiveness and/or log-transformed antibody concentration were explored using logistic and linear regressions. Results Most participants (85 %) reported both local and systemic symptoms after vaccination. Two participants reported no symptoms. More than half (54 %) reported one or more moderate symptoms. Significantly higher levels of pro-inflammatory mediators CXCL9, CXCL10, CXCL11, IFNγ and CCL20 in adults, and CXCL9, CXCL10 and CXCL11 in adolescents, were found after vaccination. Participants who showed high innate immune responsiveness had higher odds (OR 6.0; 95 % CI 1.4-33) of experiencing one or more moderate symptoms. No association was found between innate responsiveness or having one or more moderate symptoms with Spike S1- or RBD-antibody concentration at day 28 after vaccination. Conclusion Our results suggest an association between the strength of the innate immune response and the severity of reactogenicity to SARS-CoV-2 vaccination. However, more research is needed to understand the relation between reactogenicity and immunogenicity of COVID-19 vaccines.
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Affiliation(s)
- Catharina E. van Ewijk
- Centre for Infectious Disease Control, National Institute for Public Health and the Environment, Bilthoven, the Netherlands
- European Programme for Intervention Epidemiology Training (EPIET), European Centre for Disease Prevention and Control (ECDC), Stockholm, Sweden
| | - Sara Suárez Hernández
- Centre for Infectious Disease Control, National Institute for Public Health and the Environment, Bilthoven, the Netherlands
| | - Ronald H.J. Jacobi
- 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
| | - Susan J.M. Hahné
- Centre for Infectious Disease Control, National Institute for Public Health and the Environment, Bilthoven, the Netherlands
| | - Alienke J. Wijmenga-Monsuur
- Centre for Infectious Disease Control, National Institute for Public Health and the Environment, Bilthoven, the Netherlands
| | - Mardi C. Boer
- Centre for Infectious Disease Control, National Institute for Public Health and the Environment, Bilthoven, the Netherlands
| | - Martijn D.B. van de Garde
- Centre for Infectious Disease Control, National Institute for Public Health and the Environment, Bilthoven, the Netherlands
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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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Claus J, ten Doesschate T, Taks E, Debisarun PA, Smits G, van Binnendijk R, van der Klis F, Verhagen LM, de Jonge MI, Bonten MJM, Netea MG, van de Wijgert JHHM. Determinants of Systemic SARS-CoV-2-Specific Antibody Responses to Infection and to Vaccination: A Secondary Analysis of Randomised Controlled Trial Data. Vaccines (Basel) 2024; 12:691. [PMID: 38932420 PMCID: PMC11209274 DOI: 10.3390/vaccines12060691] [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: 05/17/2024] [Revised: 06/17/2024] [Accepted: 06/17/2024] [Indexed: 06/28/2024] Open
Abstract
SARS-CoV-2 infections elicit antibodies against the viral spike (S) and nucleocapsid (N) proteins; COVID-19 vaccines against the S-protein only. The BCG-Corona trial, initiated in March 2020 in SARS-CoV-2-naïve Dutch healthcare workers, captured several epidemic peaks and the introduction of COVID-19 vaccines during the one-year follow-up. We assessed determinants of systemic anti-S1 and anti-N immunoglobulin type G (IgG) responses using trial data. Participants were randomised to BCG or placebo vaccination, reported daily symptoms, SARS-CoV-2 test results, and COVID-19 vaccinations, and donated blood for SARS-CoV-2 serology at two time points. In the 970 participants, anti-S1 geometric mean antibody concentrations (GMCs) were much higher than anti-N GMCs. Anti-S1 GMCs significantly increased with increasing number of immune events (SARS-CoV-2 infection or COVID-19 vaccination): 104.7 international units (IU)/mL, 955.0 IU/mL, and 2290.9 IU/mL for one, two, and three immune events, respectively (p < 0.001). In adjusted multivariable linear regression models, anti-S1 and anti-N log10 concentrations were significantly associated with infection severity, and anti-S1 log10 concentration with COVID-19 vaccine type/dose. In univariable models, anti-N log10 concentration was also significantly associated with acute infection duration, and severity and duration of individual symptoms. Antibody concentrations were not associated with long COVID or long-term loss of smell/taste.
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Affiliation(s)
- Juana Claus
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, 3584 CG Utrecht, The Netherlands; (J.C.); (T.t.D.); (J.H.H.M.v.d.W.)
| | - Thijs ten Doesschate
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, 3584 CG Utrecht, The Netherlands; (J.C.); (T.t.D.); (J.H.H.M.v.d.W.)
- Department of Internal Medicine, Jeroen Bosch Ziekenhuis, 5223 GZ Hertogenbosch, The Netherlands
| | - Esther Taks
- Department of Medicine and Radboud Center for Infectious Diseases, Radboud University Medical Center, 6525 GA Nijmegen, The Netherlands; (E.T.); (P.A.D.); (M.G.N.)
| | - Priya A. Debisarun
- Department of Medicine and Radboud Center for Infectious Diseases, Radboud University Medical Center, 6525 GA Nijmegen, The Netherlands; (E.T.); (P.A.D.); (M.G.N.)
| | - Gaby Smits
- National Institute of Public Health and the Environment, 3720 BA Bilthoven, The Netherlands; (G.S.); (R.v.B.); (F.v.d.K.)
| | - Rob van Binnendijk
- National Institute of Public Health and the Environment, 3720 BA Bilthoven, The Netherlands; (G.S.); (R.v.B.); (F.v.d.K.)
| | - Fiona van der Klis
- National Institute of Public Health and the Environment, 3720 BA Bilthoven, The Netherlands; (G.S.); (R.v.B.); (F.v.d.K.)
| | - Lilly M. Verhagen
- Department of Paediatric Infectious Diseases and Immunology, Amalia Children’s Hospital, Radboud University Medical Center, 6525 GA Nijmegen, The Netherlands;
- Laboratory of Medical Immunology, Department of Laboratory Medicine, Radboud Center for Infectious Diseases, Radboud University Medical Center, 6525 GA Nijmegen, The Netherlands;
| | - Marien I. de Jonge
- Laboratory of Medical Immunology, Department of Laboratory Medicine, Radboud Center for Infectious Diseases, Radboud University Medical Center, 6525 GA Nijmegen, The Netherlands;
| | - Marc J. M. Bonten
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, 3584 CG Utrecht, The Netherlands; (J.C.); (T.t.D.); (J.H.H.M.v.d.W.)
| | - Mihai G. Netea
- Department of Medicine and Radboud Center for Infectious Diseases, Radboud University Medical Center, 6525 GA Nijmegen, The Netherlands; (E.T.); (P.A.D.); (M.G.N.)
- Department for Genomics & Immunoregulation, Life and Medical Sciences Institute, University of Bonn, 53113 Bonn, Germany
| | - Janneke H. H. M. van de Wijgert
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, 3584 CG Utrecht, The Netherlands; (J.C.); (T.t.D.); (J.H.H.M.v.d.W.)
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5
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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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Collins E, Galipeau Y, Arnold C, Bhéreur A, Booth R, Buchan AC, Cooper C, Crawley AM, McCluskie PS, McGuinty M, Pelchat M, Rocheleau L, Saginur R, Gravel C, Hawken S, Langlois MA, Little J. Clinical and serological predictors of post COVID-19 condition-findings from a Canadian prospective cohort study. Front Public Health 2024; 12:1276391. [PMID: 38784593 PMCID: PMC11111987 DOI: 10.3389/fpubh.2024.1276391] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2023] [Accepted: 04/18/2024] [Indexed: 05/25/2024] Open
Abstract
Introduction More than 3 years into the pandemic, there is persisting uncertainty as to the etiology, biomarkers, and risk factors of Post COVID-19 Condition (PCC). Serological research data remain a largely untapped resource. Few studies have investigated the potential relationships between post-acute serology and PCC, while accounting for clinical covariates. Methods We compared clinical and serological predictors among COVID-19 survivors with (n = 102 cases) and without (n = 122 controls) persistent symptoms ≥12 weeks post-infection. We selected four primary serological predictors (anti-nucleocapsid (N), anti-Spike, and anti-receptor binding domain (RBD) IgG titres, and neutralization efficiency), and specified clinical covariates a priori. Results Similar proportions of PCC-cases (66.7%, n = 68) and infected-controls (71.3%, n = 87) tested positive for anti-N IgG. More cases tested positive for anti-Spike (94.1%, n = 96) and anti-RBD (95.1%, n = 97) IgG, as compared with controls (anti-Spike: 89.3%, n = 109; anti-RBD: 84.4%, n = 103). Similar trends were observed among unvaccinated participants. Effects of IgG titres on PCC status were non-significant in univariate and multivariate analyses. Adjusting for age and sex, PCC-cases were more likely to be efficient neutralizers (OR 2.2, 95% CI 1.11-4.49), and odds was further increased among cases to report deterioration in quality of life (OR 3.4, 95% CI 1.64-7.31). Clinical covariates found to be significantly related to PCC included obesity (OR 2.3, p = 0.02), number of months post COVID-19 (OR 1.1, p < 0.01), allergies (OR 1.8, p = 0.04), and need for medical support (OR 4.1, p < 0.01). Conclusion Despite past COVID-19 infection, approximately one third of PCC-cases and infected-controls were seronegative for anti-N IgG. Findings suggest higher neutralization efficiency among cases as compared with controls, and that this relationship is stronger among cases with more severe PCC. Cases also required more medical support for COVID-19 symptoms, and described complex, ongoing health sequelae. More data from larger cohorts are needed to substantiate results, permit subgroup analyses of IgG titres, and explore for differences between clusters of PCC symptoms. Future assessment of IgG subtypes may also elucidate new findings.
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Affiliation(s)
- Erin Collins
- School of Epidemiology and Public Health, Faculty of Medicine, University of Ottawa, Ottawa, ON, Canada
| | - Yannick Galipeau
- Department of Biochemistry, Microbiology and Immunology, University of Ottawa, Ottawa, ON, Canada
| | - Corey Arnold
- Department of Biochemistry, Microbiology and Immunology, University of Ottawa, Ottawa, ON, Canada
| | - Anne Bhéreur
- Faculty of Medicine, University of Montreal, Montreal, QC, Canada
| | - Ronald Booth
- Faculty of Medicine, University of Ottawa, Ottawa, ON, Canada
| | - Arianne C. Buchan
- Faculty of Medicine, University of Ottawa, Ottawa, ON, Canada
- Division of Infectious Diseases, Department of Medicine, Ottawa Hospital Research Institute, Ottawa, ON, Canada
| | - Curtis Cooper
- Faculty of Medicine, University of Ottawa, Ottawa, ON, Canada
- Division of Infectious Diseases, Department of Medicine, Ottawa Hospital Research Institute, Ottawa, ON, Canada
- Clinical Epidemiology, Ottawa Hospital Research Institute, Ottawa, ON, Canada
- Coronavirus Variants Rapid Response Network (CoVaRR-Net), Faculty of Medicine, University of Ottawa, Ottawa, ON, Canada
- Centre for Infection, Immunity and Inflammation (CI3), University of Ottawa, Ottawa, ON, Canada
| | - Angela M. Crawley
- Department of Biochemistry, Microbiology and Immunology, University of Ottawa, Ottawa, ON, Canada
- Coronavirus Variants Rapid Response Network (CoVaRR-Net), Faculty of Medicine, University of Ottawa, Ottawa, ON, Canada
- Centre for Infection, Immunity and Inflammation (CI3), University of Ottawa, Ottawa, ON, Canada
- Chronic Disease Program, Ottawa Hospital Research Institute, Ottawa, ON, Canada
| | - Pauline S. McCluskie
- Department of Biochemistry, Microbiology and Immunology, University of Ottawa, Ottawa, ON, Canada
| | - Michaeline McGuinty
- Faculty of Medicine, University of Ottawa, Ottawa, ON, Canada
- Division of Infectious Diseases, Department of Medicine, Ottawa Hospital Research Institute, Ottawa, ON, Canada
| | - Martin Pelchat
- Department of Biochemistry, Microbiology and Immunology, University of Ottawa, Ottawa, ON, Canada
| | - Lynda Rocheleau
- Department of Biochemistry, Microbiology and Immunology, University of Ottawa, Ottawa, ON, Canada
| | - Raphael Saginur
- Faculty of Medicine, University of Ottawa, Ottawa, ON, Canada
- Division of Infectious Diseases, Department of Medicine, Ottawa Hospital Research Institute, Ottawa, ON, Canada
- Ottawa Health Science Network Research Ethics Board (OHSN-REB), Ottawa Hospital Research Institute, Ottawa, ON, Canada
| | - Chris Gravel
- School of Epidemiology and Public Health, Faculty of Medicine, University of Ottawa, Ottawa, ON, Canada
- Department of Mathematics and Statistics, University of Ottawa, Ottawa, ON, Canada
- Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montreal, QC, Canada
| | - Steven Hawken
- School of Epidemiology and Public Health, Faculty of Medicine, University of Ottawa, Ottawa, ON, Canada
- Clinical Epidemiology, Ottawa Hospital Research Institute, Ottawa, ON, Canada
| | - Marc-André Langlois
- Department of Biochemistry, Microbiology and Immunology, University of Ottawa, Ottawa, ON, Canada
- Coronavirus Variants Rapid Response Network (CoVaRR-Net), Faculty of Medicine, University of Ottawa, Ottawa, ON, Canada
- Centre for Infection, Immunity and Inflammation (CI3), University of Ottawa, Ottawa, ON, Canada
| | - Julian Little
- School of Epidemiology and Public Health, Faculty of Medicine, University of Ottawa, Ottawa, ON, Canada
- Clinical Epidemiology, Ottawa Hospital Research Institute, Ottawa, ON, Canada
- Coronavirus Variants Rapid Response Network (CoVaRR-Net), Faculty of Medicine, University of Ottawa, Ottawa, ON, Canada
- The Knowledge Synthesis and Application Unit (KSAU), University of Ottawa, Ottawa, ON, Canada
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7
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Collins E, Philippe E, Gravel CA, Hawken S, Langlois MA, Little J. Serological markers and long COVID-A rapid systematic review. Eur J Clin Invest 2024; 54:e14149. [PMID: 38083997 DOI: 10.1111/eci.14149] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/03/2023] [Revised: 11/29/2023] [Accepted: 11/30/2023] [Indexed: 03/13/2024]
Abstract
BACKGROUND Long COVID is highly heterogeneous, often debilitating, and may last for years after infection. The aetiology of long COVID remains uncertain. Examination of potential serological markers of long COVID, accounting for clinical covariates, may yield emergent pathophysiological insights. METHODS In adherence to PRISMA guidelines, we carried out a rapid review of the literature. We searched Medline and Embase for primary observational studies that compared IgG response in individuals who experienced COVID-19 symptoms persisting ≥12 weeks post-infection with those who did not. We examined relationships between serological markers and long COVID status and investigated sources of inter-study variability, such as severity of acute illness, long COVID symptoms assessed and target antigen(s). RESULTS Of 8018 unique records, we identified 29 as being eligible for inclusion in synthesis. Definitions of long COVID varied. In studies that reported anti-nucleocapsid (N) IgG (n = 10 studies; n = 989 participants in aggregate), full or partial anti-Spike IgG (i.e. the whole trimer, S1 or S2 subgroups, or receptor binding domain, n = 19 studies; n = 2606 participants), or neutralizing response (n = 7 studies; n = 1123 participants), we did not find strong evidence to support any difference in serological markers between groups with and without persisting symptoms. However, most studies did not account for severity or level of care required during acute illness, and other potential confounders. CONCLUSIONS Pooling of studies would enable more robust exploration of clinical and serological predictors among diverse populations. However, substantial inter-study variations hamper comparability. Standardized reporting practices would improve the quality, consistency and comprehension of study findings.
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Affiliation(s)
- Erin Collins
- Faculty of Medicine, School of Epidemiology and Public Health, University of Ottawa, Ottawa, Ontario, Canada
| | - Elizabeth Philippe
- Faculty of Medicine, School of Epidemiology and Public Health, University of Ottawa, Ottawa, Ontario, Canada
| | - Christopher A Gravel
- Faculty of Medicine, School of Epidemiology and Public Health, University of Ottawa, Ottawa, Ontario, Canada
- Department of Mathematics and Statistics, University of Ottawa, Ottawa, Ontario, Canada
- Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montreal, Quebec, Canada
| | - Steven Hawken
- Faculty of Medicine, School of Epidemiology and Public Health, University of Ottawa, Ottawa, Ontario, Canada
- Clinical Epidemiology, Ottawa Hospital Research Institute, Ottawa, Ontario, Canada
| | - Marc-André Langlois
- Department of Biochemistry, Microbiology and Immunology, University of Ottawa, Ottawa, Ontario, Canada
- Coronavirus Variants Rapid Response Network (CoVaRR-Net), Faculty of Medicine, University of Ottawa, Ottawa, Ontario, Canada
- Centre for Infection, Immunity and Inflammation (CI3), University of Ottawa, Ottawa, Ontario, Canada
| | - Julian Little
- Faculty of Medicine, School of Epidemiology and Public Health, University of Ottawa, Ottawa, Ontario, Canada
- Clinical Epidemiology, Ottawa Hospital Research Institute, Ottawa, Ontario, Canada
- Coronavirus Variants Rapid Response Network (CoVaRR-Net), Faculty of Medicine, University of Ottawa, Ottawa, Ontario, Canada
- The Knowledge Synthesis and Application Unit (KSAU), University of Ottawa, Ottawa, Ontario, Canada
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8
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Punacha G, Adiga R. Feature selection for effective prediction of SARS-COV-2 using machine learning. Genes Genomics 2024; 46:341-354. [PMID: 37985549 DOI: 10.1007/s13258-023-01467-6] [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: 05/06/2023] [Accepted: 10/01/2023] [Indexed: 11/22/2023]
Abstract
BACKGROUND With rise in variants of SARS-CoV-2, it is necessary to classify the emerging SARS-CoV-2 for early detection and thereby reduce human transmission. Genomic and proteomic information have less frequently been used for classifying in a machine learning (ML) approach for detection of SARS-CoV-2. OBJECTIVE With this aim we used nucleoprotein and viral proteomic evolutionary information of SARS-CoV-2 along with the charge and basicity distribution of amino acids from various strains of SARS-CoV-2 to generate a disease severity model based on ML. METHODS All sequence and clinical data were obtained from GISAID. Proteomic level calculations were added to comprise the dataset. The training set was used for feature selection. Select K- Best feature selection method was employed which was cross validated with testing set and performance evaluated. Delong's test was also done. We also employed BIRCH clustering on SARS-CoV-2 for clustering the strains. RESULTS Out of six ML models four were successful in training and testing. Extra Trees algorithm generated a micro-averaged F1-score of 74.2% and a weighted averaged area under the receiver operating characteristic curve (AUC-ROC) score of 73.7% with multi-class option. The feature selection set to 5, enhanced the ROC AUC from 73.7 to 76.4%. Accuracy of the selected model of 86.9% was achieved. CONCLUSION The unique features identified in the ML approach was able to classify disease severity into classes and had potential for predicting risk in newer variants.
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Affiliation(s)
- Gagan Punacha
- Nitte (Deemed to be University), Department of Molecular Genetics & Cancer, Nitte University Centre for Science Education & Research (NUCSER), Mangalore, Karnataka, India
| | - Rama Adiga
- Nitte (Deemed to be University), Department of Molecular Genetics & Cancer, Nitte University Centre for Science Education & Research (NUCSER), Mangalore, Karnataka, India.
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9
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Reinholm A, Maljanen S, Jalkanen P, Altan E, Tauriainen S, Belik M, Skön M, Haveri A, Österlund P, Iakubovskaia A, Pasternack A, Naves RA, Ritvos O, Miettinen S, K Häkkinen H, Ivaska L, Tähtinen PA, Lempainen J, Kantele A, Kakkola L, Julkunen I, Kolehmainen P. Neutralizing antibodies after the third COVID-19 vaccination in healthcare workers with or without breakthrough infection. COMMUNICATIONS MEDICINE 2024; 4:28. [PMID: 38396065 PMCID: PMC10891120 DOI: 10.1038/s43856-024-00457-3] [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: 05/10/2023] [Accepted: 02/09/2024] [Indexed: 02/25/2024] Open
Abstract
BACKGROUND Vaccinations against the SARS-CoV-2 are still crucial in combating the ongoing pandemic that has caused more than 700 million infections and claimed almost 7 million lives in the past four years. Omicron (B.1.1.529) variants have incurred mutations that challenge the protection against infection and severe disease by the current vaccines, potentially compromising vaccination efforts. METHODS We analyzed serum samples taken up to 9 months post third dose from 432 healthcare workers. Enzyme-linked immunosorbent assays (ELISA) and microneutralization tests (MNT) were used to assess the prevalence of vaccine-induced neutralizing antibodies against various SARS-CoV-2 Omicron variants. RESULTS In this serological analysis we show that SARS-CoV-2 vaccine combinations of BNT162b2, mRNA-1273, and ChAdOx1 mount SARS-CoV-2 binding and neutralizing antibodies with similar kinetics, but with differing neutralization capabilities. The most recent Omicron variants, BQ.1.1 and XBB.1.5, show a significant increase in the ability to escape vaccine and infection-induced antibody responses. Breakthrough infections in thrice vaccinated adults were seen in over 50% of the vaccinees, resulting in a stronger antibody response than without infection. CONCLUSIONS Different three-dose vaccine combinations seem to induce considerable levels of neutralizing antibodies against most SARS-CoV-2 variants. However, the ability of the newer variants BQ1.1 and XBB 1.5 to escape vaccine-induced neutralizing antibody responses underlines the importance of updating vaccines as new variants emerge.
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Affiliation(s)
- Arttu Reinholm
- Institute of Biomedicine, University of Turku, Turku, Finland.
| | - Sari Maljanen
- Institute of Biomedicine, University of Turku, Turku, Finland
| | - Pinja Jalkanen
- Institute of Biomedicine, University of Turku, Turku, Finland
| | - Eda Altan
- Institute of Biomedicine, University of Turku, Turku, Finland
| | | | - Milja Belik
- Institute of Biomedicine, University of Turku, Turku, Finland
| | - Marika Skön
- Finnish Institute for Health and Welfare, Helsinki, Finland
| | - Anu Haveri
- Finnish Institute for Health and Welfare, Helsinki, Finland
| | | | - Alina Iakubovskaia
- Department of Physiology, Medicum, University of Helsinki, Helsinki, Finland
| | - Arja Pasternack
- Department of Physiology, Medicum, University of Helsinki, Helsinki, Finland
| | - Rauno A Naves
- Department of Physiology, Medicum, University of Helsinki, Helsinki, Finland
| | - Olli Ritvos
- Department of Physiology, Medicum, University of Helsinki, Helsinki, Finland
| | - Simo Miettinen
- Department of Infectious Diseases, Meilahti Vaccination Research Center, MeVac, Helsinki, University Hospital and University of Helsinki, Helsinki, Finland
| | - Hanni K Häkkinen
- Department of Virology, University of Helsinki, Helsinki, Finland
| | - Lauri Ivaska
- Department of Paediatrics and Adolescent Medicine, Turku University Hospital and University of Turku, Turku, Finland
- InFlames Research Flagship Center, University of Turku, Turku, Finland
| | - Paula A Tähtinen
- Department of Paediatrics and Adolescent Medicine, Turku University Hospital and University of Turku, Turku, Finland
| | - Johanna Lempainen
- Institute of Biomedicine, University of Turku, Turku, Finland
- Department of Paediatrics and Adolescent Medicine, Turku University Hospital and University of Turku, Turku, Finland
- Clinical Microbiology, Turku University Hospital, Turku, Finland
| | - Anu Kantele
- Department of Infectious Diseases, Meilahti Vaccination Research Center, MeVac, Helsinki, University Hospital and University of Helsinki, Helsinki, Finland
| | - Laura Kakkola
- Institute of Biomedicine, University of Turku, Turku, Finland
- InFlames Research Flagship Center, University of Turku, Turku, Finland
- Clinical Microbiology, Turku University Hospital, Turku, Finland
| | - Ilkka Julkunen
- Institute of Biomedicine, University of Turku, Turku, Finland
- InFlames Research Flagship Center, University of Turku, Turku, Finland
- Clinical Microbiology, Turku University Hospital, Turku, Finland
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10
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Colombini A, Divieto C, Tomaiuolo R, Mortati L, Petiti J, Di Resta C, Banfi G. The total testing process harmonization: the case study of SARS-CoV-2 serological tests. Clin Chem Lab Med 2023; 61:2084-2093. [PMID: 37540644 DOI: 10.1515/cclm-2023-0353] [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: 04/06/2023] [Accepted: 07/19/2023] [Indexed: 08/06/2023]
Abstract
The total testing process harmonization is central to laboratory medicine, leading to the laboratory test's effectiveness. In this opinion paper the five phases of the TTP are analyzed, describing, and summarizing the critical issues that emerged in each phase of the TTP with the SARS-CoV-2 serological tests that have affected their effectiveness. Testing and screening the population was essential for defining seropositivity and, thus, driving public health policies in the management of the COVID-19 pandemic. However, the many differences in terminology, the unit of measurement, reference ranges and parameters for interpreting results make analytical results difficult to compare, leading to the general confusion that affects or completely precludes the comparability of data. Starting from these considerations related to SARS-CoV-2 serological tests, through interdisciplinary work, the authors have highlighted the most critical points and formulated proposals to make total testing process harmonization effective, positively impacting the diagnostic effectiveness of laboratory tests.
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Affiliation(s)
| | - Carla Divieto
- Istituto Nazionale di Ricerca Metrologica INRIM, Turin, Italy
| | - Rossella Tomaiuolo
- IRCCS Istituto Ortopedico Galeazzi, Milan, Italy
- Vita-Salute San Raffaele University, Milan, Italy
| | | | - Jessica Petiti
- Istituto Nazionale di Ricerca Metrologica INRIM, Turin, Italy
| | | | - Giuseppe Banfi
- IRCCS Istituto Ortopedico Galeazzi, Milan, Italy
- Vita-Salute San Raffaele University, Milan, Italy
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11
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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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12
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Kuijpers Y, Picavet HSJ, de Rond L, de Zeeuw-Brouwer ML, Rutkens R, Gijsbers E, Slits I, Engelfriet P, Buisman AM, Verschuren WMM. Potential determinants of antibody responses after vaccination against SARS-CoV-2 in older persons: the Doetinchem Cohort Study. Immun Ageing 2023; 20:57. [PMID: 37880758 PMCID: PMC10599057 DOI: 10.1186/s12979-023-00382-4] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2023] [Accepted: 10/13/2023] [Indexed: 10/27/2023]
Abstract
BACKGROUND Immune responses to vaccination vary widely between individuals. The aim of this study was to identify health-related variables potentially underlying the antibody responses to SARS-CoV-2 vaccination in older persons. We recruited participants in the long-running Doetinchem Cohort Study (DCS) who underwent vaccination as part of the national COVID-19 program, and measured antibody concentrations to SARS-CoV-2 Spike protein (S1) and Nucleoprotein (N) at baseline (T0), and a month after both the first vaccination (T1), and the second vaccination (T2). Associations between the antibody concentrations and demographic variables, including age, sex, socio-economic status (SES), comorbidities (cardiovascular diseases and immune mediated diseases), various health parameters (cardiometabolic markers, inflammation markers, kidney- and lung function) and a composite measure of frailty ('frailty index', ranging from 0 to 1) were tested using multivariate models. RESULTS We included 1457 persons aged 50 to 92 years old. Of these persons 1257 were infection naïve after their primary vaccination series. The majority (N = 954) of these individuals were vaccinated with two doses of BNT162b2 (Pfizer) and their data were used for further analysis. A higher frailty index was associated with lower anti-S1 antibody responses at T1 and T2 for both men (RT1 = -0.095, PT1 = 0.05; RT2 = -0.11, PT2 = 0.02) and women (RT1 = -0.24, PT1 < 0.01; RT2 = -0.15, PT2 < 0.01). After correcting for age and sex the frailty index was also associated with the relative increase in anti-S1 IgG concentrations between the two vaccinations (β = 1.6, P < 0.01). Within the construct of frailty, history of a cardiac catheterization, diabetes, gastrointestinal disease, a cognitive speed in the lowest decile of the population distribution, and impaired lung function were associated with lower antibody responses after both vaccinations. CONCLUSIONS Components of frailty play a key role in the primary vaccination response to the BNT162b2 vaccine within an ageing population. Older persons with various comorbidities have a lowered immune response after their first vaccination, and while frail and sick older persons see a stronger increase after their second vaccination compared to healthy people, they still have a lower antibody response after their second vaccination.
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Affiliation(s)
- Yunus Kuijpers
- Centre for Prevention, Lifestyle and Health, National Institute for Public Health and the Environment (RIVM), Bilthoven, 3721 MA, The Netherlands.
| | - H Susan J Picavet
- Centre for Prevention, Lifestyle and Health, National Institute for Public Health and the Environment (RIVM), Bilthoven, 3721 MA, The Netherlands
| | - Lia de Rond
- Centre for Immunology of Infectious Diseases and Vaccines, National Institute for Public Health and the Environment (RIVM), Bilthoven, 3721 MA, The Netherlands
| | - Mary-Lène de Zeeuw-Brouwer
- Centre for Immunology of Infectious Diseases and Vaccines, National Institute for Public Health and the Environment (RIVM), Bilthoven, 3721 MA, The Netherlands
| | - Ryanne Rutkens
- Centre for Immunology of Infectious Diseases and Vaccines, National Institute for Public Health and the Environment (RIVM), Bilthoven, 3721 MA, The Netherlands
| | - Esther Gijsbers
- Centre for Immunology of Infectious Diseases and Vaccines, National Institute for Public Health and the Environment (RIVM), Bilthoven, 3721 MA, The Netherlands
| | - Irene Slits
- Centre for Immunology of Infectious Diseases and Vaccines, National Institute for Public Health and the Environment (RIVM), Bilthoven, 3721 MA, The Netherlands
| | - Peter Engelfriet
- Centre for Prevention, Lifestyle and Health, National Institute for Public Health and the Environment (RIVM), Bilthoven, 3721 MA, The Netherlands
| | - Anne-Marie Buisman
- Centre for Immunology of Infectious Diseases and Vaccines, National Institute for Public Health and the Environment (RIVM), Bilthoven, 3721 MA, The Netherlands
| | - W M Monique Verschuren
- Centre for Prevention, Lifestyle and Health, National Institute for Public Health and the Environment (RIVM), Bilthoven, 3721 MA, The Netherlands
- Julius Centre for Health Sciences and Primary Care, University Medical Centre Utrecht, Utrecht University, Utrecht, 3508 TC, The Netherlands
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13
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de Gier B, Huiberts AJ, Hoeve CE, den Hartog G, van Werkhoven H, van Binnendijk R, Hahné SJM, de Melker HE, van den Hof S, Knol MJ. Effects of COVID-19 vaccination and previous infection on Omicron SARS-CoV-2 infection and relation with serology. Nat Commun 2023; 14:4793. [PMID: 37558656 PMCID: PMC10412579 DOI: 10.1038/s41467-023-40195-z] [Citation(s) in RCA: 19] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2023] [Accepted: 07/17/2023] [Indexed: 08/11/2023] Open
Abstract
An increasing proportion of the population has acquired immunity through COVID-19 vaccination and previous SARS-CoV-2 infection, i.e., hybrid immunity, possibly affecting the risk of new infection. We aim to estimate the protective effect of previous infections and vaccinations on SARS-CoV-2 Omicron infection, using data from 43,257 adult participants in a prospective community-based cohort study in the Netherlands, collected between 10 January 2022 and 1 September 2022. Our results show that, for participants with 2, 3 or 4 prior immunizing events (vaccination or previous infection), hybrid immunity is more protective against infection with SARS-CoV-2 Omicron than vaccine-induced immunity, up to at least 30 weeks after the last immunizing event. Differences in risk of infection are partly explained by differences in anti-Spike RBD (S) antibody concentration, which is associated with risk of infection in a dose-response manner. Among participants with hybrid immunity, with one previous pre-Omicron infection, we do not observe a relevant difference in risk of Omicron infection by sequence of vaccination(s) and infection. Additional immunizing events increase the protection against infection, but not above the level of the first weeks after the previous event.
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Affiliation(s)
- Brechje de Gier
- Center for Infectious Disease Control, National Institute for Public Health and the Environment, Bilthoven, the Netherlands
| | - Anne J Huiberts
- Center for Infectious Disease Control, National Institute for Public Health and the Environment, Bilthoven, the Netherlands
| | - Christina E Hoeve
- Center for Infectious Disease Control, National Institute for Public Health and the Environment, Bilthoven, the Netherlands
| | - Gerco den Hartog
- Center 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
- Radboud Center for Infectious Diseases, Radboudumc, Nijmegen, The Netherlands
| | - Henri van Werkhoven
- Center for Infectious Disease Control, National Institute for Public Health and the Environment, Bilthoven, the Netherlands
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
| | - Rob van Binnendijk
- Center for Infectious Disease Control, National Institute for Public Health and the Environment, Bilthoven, the Netherlands
| | - Susan J M Hahné
- Center for Infectious Disease Control, National Institute for Public Health and the Environment, Bilthoven, the Netherlands
| | - Hester E de Melker
- Center for Infectious Disease Control, National Institute for Public Health and the Environment, Bilthoven, the Netherlands
| | - Susan van den Hof
- Center for Infectious Disease Control, National Institute for Public Health and the Environment, Bilthoven, the Netherlands
| | - Mirjam J Knol
- Center for Infectious Disease Control, National Institute for Public Health and the Environment, Bilthoven, the Netherlands.
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14
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de Boer PT, van de Kassteele J, Vos ERA, van Asten L, Dongelmans DA, van Gageldonk‐Lafeber AB, den Hartog G, Hofhuis A, van der Klis F, de Lange DW, Stoeldraijer L, de Melker HE, Geubbels E, van den Hof S, Wallinga J. Age-specific severity of severe acute respiratory syndrome coronavirus 2 in February 2020 to June 2021 in the Netherlands. Influenza Other Respir Viruses 2023; 17:e13174. [PMID: 37621921 PMCID: PMC10444602 DOI: 10.1111/irv.13174] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2023] [Revised: 06/23/2023] [Accepted: 06/28/2023] [Indexed: 08/26/2023] Open
Abstract
Background The severity of Severe Acute Respiratory Syndrome Coronavirus 2 infection varies with age and time. Here, we quantify how age-specific risks of hospitalization, intensive care unit (ICU) admission, and death upon infection changed from February 2020 to June 2021 in the Netherlands. Methods A series of large representative serology surveys allowed us to estimate age-specific numbers of infections in three epidemic periods (late-February 2020 to mid-June 2020, mid-June 2020 to mid-February 2021, and mid-February 2021 to late-June 2021). We accounted for reinfections and breakthrough infections. Severity measures were obtained by combining infection numbers with age-specific numbers of hospitalization, ICU admission, and excess all-cause deaths. Results There was an accelerating, almost exponential, increase in severity with age in each period. The rate of increase with age was the highest for death and the lowest for hospitalization. In late-February 2020 to mid-June 2020, the overall risk of hospitalization upon infection was 1.5% (95% confidence interval [CI] 1.3-1.8%), the risk of ICU admission was 0.36% (95% CI: 0.31-0.42%), and the risk of death was 1.2% (95% CI: 1.0-1.4%). The risk of hospitalization was significantly increased in mid-June 2020 to mid-February 2021, while the risk of ICU admission remained stable over time. The risk of death decreased over time, with a significant drop among ≥70-years-olds in mid-February 2021 to late-June 2021; COVID-19 vaccination started early January 2021. Conclusion Whereas the increase in severity of Severe Acute Respiratory Syndrome Coronavirus 2 with age remained stable, the risk of death upon infection decreased over time. A significant drop in risk of death among elderly coincided with the introduction of COVID-19 vaccination.
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Affiliation(s)
- Pieter T. de Boer
- Center for Infectious Disease ControlNational Institute for Public Health and the Environment (RIVM)BilthovenThe Netherlands
| | - Jan van de Kassteele
- Center for Infectious Disease ControlNational Institute for Public Health and the Environment (RIVM)BilthovenThe Netherlands
| | - Eric R. A. Vos
- Center for Infectious Disease ControlNational Institute for Public Health and the Environment (RIVM)BilthovenThe Netherlands
| | - Liselotte van Asten
- Center for Infectious Disease ControlNational Institute for Public Health and the Environment (RIVM)BilthovenThe Netherlands
| | - Dave A. Dongelmans
- Department of Intensive Care MedicineAmsterdam UMC (location AMC)AmsterdamThe Netherlands
- Amsterdam Public Health Research InstituteAmsterdamThe Netherlands
| | | | - Gerco den Hartog
- Center for Infectious Disease ControlNational Institute for Public Health and the Environment (RIVM)BilthovenThe Netherlands
- Laboratory of Medical ImmunologyRadboudumcNijmegenThe Netherlands
| | - Agnetha Hofhuis
- Center for Infectious Disease ControlNational Institute for Public Health and the Environment (RIVM)BilthovenThe Netherlands
| | - Fiona van der Klis
- Center for Infectious Disease ControlNational Institute for Public Health and the Environment (RIVM)BilthovenThe Netherlands
| | - Dylan W. de Lange
- Intensive Care, University Medical Center UtrechtUniversity of UtrechtUtrechtThe Netherlands
| | | | | | - Hester E. de Melker
- Center for Infectious Disease ControlNational Institute for Public Health and the Environment (RIVM)BilthovenThe Netherlands
| | - Eveline Geubbels
- Center for Infectious Disease ControlNational Institute for Public Health and the Environment (RIVM)BilthovenThe Netherlands
| | - Susan van den Hof
- Center for Infectious Disease ControlNational Institute for Public Health and the Environment (RIVM)BilthovenThe Netherlands
| | - Jacco Wallinga
- Center for Infectious Disease ControlNational Institute for Public Health and the Environment (RIVM)BilthovenThe Netherlands
- Department of Biomedical Data SciencesLeiden University Medical CenterLeidenThe Netherlands
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15
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Das D, Raha FK, Adnan KM, Siraj MR, Shapla MJ, Shumy F, Haque ME, Khan MH, Sanyal S, Hosen MI, Nabi AHMN, Sanyal M, Chakraborty S, Amin MZ. Dynamic antibody response in SARS-CoV-2 infected patients and COVID-19 vaccine recipients alongside vaccine effectiveness in comorbid and multimorbid groups. Heliyon 2023; 9:e16349. [PMID: 37251854 PMCID: PMC10199753 DOI: 10.1016/j.heliyon.2023.e16349] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2022] [Revised: 04/05/2023] [Accepted: 05/12/2023] [Indexed: 05/31/2023] Open
Abstract
Objectives Underlying medical conditions are critical risk factors for COVID-19 susceptibility and its rapid clinical manifestation. Therefore, the preexisting burden of non-communicable diseases (NCDs) makes the preparedness for COVID-19 more challenging for low- and middle-income countries (LMICs). These countries have relied on vaccination campaigns as an effective measure to tackle COVID-19. In this study, we investigated the impact of comorbidities on humoral antibody responses against the specific receptor-binding domain (RBD) of SARS-CoV2. Methods A total of 1005 patients were selected for the SARS-CoV-2 specific immunoglobulin G (IgG1, IgG2, IgG3, and IgG4 subclasses) and total antibody (TAb) tests (IgG and IgM), of which 912 serum samples were ultimately selected based on the specimen cutoff analyte value. Patients with multimorbidity (N = 60) were recruited for follow-up studies from the initial cohort, and their immune response (IgG and TAb) was measured at multiple time points after the second dose of vaccination. Siemens Dimension Vista SARS-CoV-2 IgG (CV2G) and SARS-CoV-2 TAb assay (CV2T) were used to carry out the serology test. Results Out of a total of 912 participants, vaccinated individuals (N = 711) had detectable antibody responses up to 7-8 months. The synergistic effect of natural infection and vaccine response was also studied. Participants with breakthrough infections (N = 49) mounted a greater antibody response compared to individuals with normal vaccination response (N = 397) and those who were naturally infected before receiving the second dose of vaccine (N = 132). Investigation of the impact of comorbidities revealed that diabetes mellitus (DM) (N = 117) and kidney disease (N = 50) had a significant negative impact on the decline of the humoral antibody response against SARS-CoV-2. IgG and TAb declined more rapidly in diabetic and kidney disease patients compared to the other four comorbid groups. Follow-up studies demonstrated that antibody response rapidly declined within 4 months after receiving the second dose. Conclusion The generalized immunization schedule for COVID-19 needs to be adjusted for high-risk comorbid groups, and a booster dose must be administered early within 4 months after receiving the second dose.
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Affiliation(s)
- Depro Das
- Systems Cell-Signalling Laboratory, Department of Biochemistry and Molecular Biology, University of Dhaka, Dhaka 1000, Bangladesh
| | - Fahmida Khanam Raha
- Systems Cell-Signalling Laboratory, Department of Biochemistry and Molecular Biology, University of Dhaka, Dhaka 1000, Bangladesh
| | | | | | | | | | | | | | | | - Md Ismail Hosen
- Clinical Biochemistry and Translational Medicine Laboratory, Department of Biochemistry and Molecular Biology, University of Dhaka, Dhaka 1000, Bangladesh
| | - AHM Nurun Nabi
- Laboratory of Population Genetics, Department of Biochemistry and Molecular Biology, University of Dhaka, Dhaka 1000, Bangladesh
| | | | - Sajib Chakraborty
- Systems Cell-Signalling Laboratory, Department of Biochemistry and Molecular Biology, University of Dhaka, Dhaka 1000, Bangladesh
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16
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Schmidt KLJ, Dautzenberg NMM, Hoogerbrugge PM, Lindemans CA, Nierkens S, Smits G, Van Binnendijk RS, Bont LJ, Tissing WJE. Immune Response following BNT162b2 mRNA COVID-19 Vaccination in Pediatric Cancer Patients. Cancers (Basel) 2023; 15:cancers15092562. [PMID: 37174028 PMCID: PMC10177402 DOI: 10.3390/cancers15092562] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2023] [Revised: 04/24/2023] [Accepted: 04/27/2023] [Indexed: 05/15/2023] Open
Abstract
COVID-19 vaccinations are recommended for children with cancer but data on their vaccination response is scarce. This study assesses the antibody and T-cell response following a 2- or 3-dose vaccination with BNT162b2 mRNA COVID-19 vaccine in children (5-17 years) with cancer. For the antibody response, participants with a serum concentration of anti-SARS-CoV-2 spike 1 antibodies of >300 binding antibody units per milliliter were classified as good responders. For the T-cell response, categorization was based on spike S1 specific interferon-gamma release with good responders having >200 milli-international units per milliliter. The patients were categorized as being treated with chemo/immunotherapy for less than 6 weeks (Tx < 6 weeks) or more than 6 weeks (Tx > 6 weeks) before the first immunization event. In 46 patients given a 2-dose vaccination series, the percentage of good antibody and good T-cell responders was 39.3% and 73.7% in patients with Tx < 6 weeks and 94.4% and 100% in patients with Tx > 6 weeks, respectively. An additional 3rd vaccination in 16 patients with Tx < 6 weeks, increased the percentage of good antibody responders to 70% with no change in T-cell response. A 3-dose vaccination series effectively boosted antibody levels and is of value for patients undergoing active cancer treatment.
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Affiliation(s)
- K L Juliëtte Schmidt
- Princess Máxima Center for Pediatric Oncology, Heidelberglaan 25, 3584 CS Utrecht, The Netherlands
| | - Noël M M Dautzenberg
- Princess Máxima Center for Pediatric Oncology, Heidelberglaan 25, 3584 CS Utrecht, The Netherlands
| | - Peter M Hoogerbrugge
- Princess Máxima Center for Pediatric Oncology, Heidelberglaan 25, 3584 CS Utrecht, The Netherlands
| | - Caroline A Lindemans
- Princess Máxima Center for Pediatric Oncology, Heidelberglaan 25, 3584 CS Utrecht, The Netherlands
- Department of Pediatric Infectious Diseases and Immunology, Wilhelmina Children's Hospital, University Medical Centre Utrecht, Lundlaan 6, 3584 EA Utrecht, The Netherlands
| | - Stefan Nierkens
- Princess Máxima Center for Pediatric Oncology, Heidelberglaan 25, 3584 CS Utrecht, The Netherlands
- Center for Translational Immunology, University Medical Center Utrecht, Heidelberglaan 100, 3584 CX Utrecht, The Netherlands
| | - Gaby Smits
- Centre for Immunology of Infectious Diseases and Vaccines, National Institute for Public Health and the Environment, Antonie van Leeuwenhoeklaan 9, 3721 MA Bilthoven, The Netherlands
| | - Rob S Van Binnendijk
- Centre for Immunology of Infectious Diseases and Vaccines, National Institute for Public Health and the Environment, Antonie van Leeuwenhoeklaan 9, 3721 MA Bilthoven, The Netherlands
| | - Louis J Bont
- Department of Pediatric Infectious Diseases and Immunology, Wilhelmina Children's Hospital, University Medical Centre Utrecht, Lundlaan 6, 3584 EA Utrecht, The Netherlands
| | - Wim J E Tissing
- Princess Máxima Center for Pediatric Oncology, Heidelberglaan 25, 3584 CS Utrecht, The Netherlands
- Department of Pediatric Oncology and Hematology, Beatrix Children's Hospital, University of Groningen, University Medical Center Groningen, Hanzeplein 1, 9713 GZ Groningen, The Netherlands
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17
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Spicuzza L, Campagna D, Di Maria C, Sciacca E, Mancuso S, Vancheri C, Sambataro G. An update on lateral flow immunoassay for the rapid detection of SARS-CoV-2 antibodies. AIMS Microbiol 2023; 9:375-401. [PMID: 37091823 PMCID: PMC10113162 DOI: 10.3934/microbiol.2023020] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2022] [Revised: 03/31/2023] [Accepted: 04/04/2023] [Indexed: 04/25/2023] Open
Abstract
Over the last three years, after the outbreak of the COVID-19 pandemic, an unprecedented number of novel diagnostic tests have been developed. Assays to evaluate the immune response to SARS-CoV-2 have been widely considered as part of the control strategy. The lateral flow immunoassay (LFIA), to detect both IgM and IgG against SARS-CoV-2, has been widely studied as a point-of-care (POC) test. Compared to laboratory tests, LFIAs are faster, cheaper and user-friendly, thus available also in areas with low economic resources. Soon after the onset of the pandemic, numerous kits for rapid antibody detection were put on the market with an emergency use authorization. However, since then, scientists have tried to better define the accuracy of these tests and their usefulness in different contexts. In fact, while during the first phase of the pandemic LFIAs for antibody detection were auxiliary to molecular tests for the diagnosis of COVID-19, successively these tests became a tool of seroprevalence surveillance to address infection control policies. When in 2021 a massive vaccination campaign was implemented worldwide, the interest in LFIA reemerged due to the need to establish the extent and the longevity of immunization in the vaccinated population and to establish priorities to guide health policies in low-income countries with limited access to vaccines. Here, we summarize the accuracy, the advantages and limits of LFIAs as POC tests for antibody detection, highlighting the efforts that have been made to improve this technology over the last few years.
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Affiliation(s)
- Lucia Spicuzza
- Department of Clinical and Experimental Medicine, University of Catania, Catania, Italy
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18
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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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19
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Brandt CT, Wiese L, Christiansen KM, Agergaard J. Antibodies to Nucleocapsid Are Not Diagnostic for Long COVID. Microbiol Spectr 2023; 11:e0490022. [PMID: 36809148 PMCID: PMC10100955 DOI: 10.1128/spectrum.04900-22] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/23/2023] Open
Affiliation(s)
- C. T. Brandt
- Department of Infectious Diseases, Zealand University Hospital, University of Copenhagen, Roskilde, Denmark
| | - L. Wiese
- Department of Infectious Diseases, Zealand University Hospital, University of Copenhagen, Roskilde, Denmark
| | - K. M. Christiansen
- Department of Infectious Diseases, Odense University Hospital, Odense, Denmark
| | - J. Agergaard
- Department of Infectious Diseases, Aarhus University Hospital, Aarhus, Denmark
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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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21
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van der Veldt AAM, Oosting SF, Fehrmann RSN, GeurtsvanKessel CH, van Binnendijk RS, Dingemans AMC, Smit EF, Hiltermann TJN, Hartog GD, Jalving M, Westphal TT, Bhattacharya A, de Wilt F, Ernst SM, Boerma A, van Zijl L, Rimmelzwaan GF, Kvistborg P, van Els CACM, Rots NY, van Baarle D, Haanen JBAG, de Vries EGE. One-year data on immunogenicity and breakthrough infections in patients with solid tumors vaccinated against COVID-19 during systemic cancer treatment. ESMO Open 2023; 8:100785. [PMID: 36764094 PMCID: PMC9829609 DOI: 10.1016/j.esmoop.2023.100785] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2023] [Accepted: 01/04/2023] [Indexed: 01/11/2023] Open
Affiliation(s)
- A A M van der Veldt
- Department of Medical Oncology, Erasmus Medical Centre, Rotterdam, Netherlands; Radiology & Nuclear Medicine, Erasmus Medical Centre, Rotterdam, Netherlands.
| | - S F Oosting
- Department of Medical Oncology, University Medical Centre Groningen, University of Groningen, Groningen, Netherlands
| | - R S N Fehrmann
- Department of Medical Oncology, University Medical Centre Groningen, University of Groningen, Groningen, Netherlands
| | | | - R S van Binnendijk
- Centre for Infectious Disease Control, National Institute for Public Health and the Environment, Bilthoven, Netherlands
| | - A-M C Dingemans
- Department of Respiratory Medicine Erasmus Medical Centre, Rotterdam, Netherlands
| | - E F Smit
- Department of Thoracic Oncology, Netherlands Cancer Institute, Amsterdam, Netherlands
| | - T J N Hiltermann
- Department of Pulmonary Diseases, University Medical Centre Groningen, Amsterdam, Netherlands
| | - G den Hartog
- Centre for Infectious Disease Control, National Institute for Public Health and the Environment, Bilthoven, Netherlands
| | - M Jalving
- Department of Medical Oncology, University Medical Centre Groningen, University of Groningen, Groningen, Netherlands
| | - T T Westphal
- Comprehensive Cancer Organization the Netherlands, Utrecht, Netherlands
| | - A Bhattacharya
- Department of Medical Oncology, University Medical Centre Groningen, University of Groningen, Groningen, Netherlands
| | - F de Wilt
- Department of Viroscience, Erasmus Medical Centre, Rotterdam, Netherlands
| | - S M Ernst
- Department of Respiratory Medicine Erasmus Medical Centre, Rotterdam, Netherlands
| | - A Boerma
- Department of Medical Microbiology and Infection Prevention, University Medical Centre Groningen, University of Groningen, Groningen, Netherlands
| | - L van Zijl
- Department of Medical Oncology, Netherlands Cancer Institute, Amsterdam, Netherlands
| | - G F Rimmelzwaan
- Research Centre for Emerging Infections and Zoonoses, University of Veterinary Medicine Hannover, Hannover, Germany
| | - P Kvistborg
- Department of Molecular Oncology and Immunology, Netherlands Cancer Institute, Amsterdam, Netherlands
| | - C 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
| | - N Y Rots
- Centre for Infectious Disease Control, National Institute for Public Health and the Environment, Bilthoven, Netherlands
| | - D van Baarle
- Department of Medical Microbiology and Infection Prevention, University Medical Centre Groningen, University of Groningen, Groningen, Netherlands
| | - J B A G Haanen
- Department of Medical Oncology, Netherlands Cancer Institute, Amsterdam, Netherlands
| | - E G E de Vries
- Department of Medical Oncology, University Medical Centre Groningen, University of Groningen, Groningen, Netherlands
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22
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Alexopoulos H, Trougakos IP, Dimopoulos MA, Terpos E. Clinical usefulness of testing for severe acute respiratory syndrome coronavirus 2 antibodies. Eur J Intern Med 2023; 107:7-16. [PMID: 36379820 PMCID: PMC9647045 DOI: 10.1016/j.ejim.2022.11.009] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/25/2022] [Revised: 10/11/2022] [Accepted: 11/08/2022] [Indexed: 11/11/2022]
Abstract
In the COVID-19 pandemic era, antibody testing against severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has proven an invaluable tool and herein we highlight some of the most useful clinical and/or epidemiological applications of humoral immune responses recording. Anti-spike circulating IgGs and SARS-CoV-2 neutralizing antibodies can serve as predictors of disease progression or disease prevention, whereas anti-nucleocapsid antibodies can help distinguishing infection from vaccination. Also, in the era of immunotherapies we address the validity of anti-SARS-CoV-2 antibody monitoring post-infection and/or vaccination following therapies with the popular anti-CD20 monoclonals, as well as in the context of various cancers or autoimmune conditions such as rheumatoid arthritis and multiple sclerosis. Additional crucial applications include population immunosurveillance, either at the general population or at specific communities such as health workers. Finally, we discuss how testing of antibodies in cerebrospinal fluid can inform us on the neurological complications that often accompany COVID-19.
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Affiliation(s)
- Harry Alexopoulos
- Department of Cell Biology and Biophysics, Faculty of Biology, National and Kapodistrian University of Athens, Athens, 15784, Greece
| | - Ioannis P Trougakos
- Department of Cell Biology and Biophysics, Faculty of Biology, National and Kapodistrian University of Athens, Athens, 15784, Greece
| | - Meletios-Athanasios Dimopoulos
- Department of Clinical Therapeutics, School of Medicine, Alexandra General Hospital, National and Kapodistrian University of Athens, Athens, 11528, Greece
| | - Evangelos Terpos
- Department of Clinical Therapeutics, School of Medicine, Alexandra General Hospital, National and Kapodistrian University of Athens, Athens, 11528, Greece.
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23
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van den Hoogen LL, Boer M, Postema A, de Rond L, de Zeeuw-Brouwer ML, Pronk I, Wijmenga-Monsuur AJ, Bijvank E, Kruiper C, Beckers L, Maurik MBV, Zutt I, van Vliet J, van Bergen R, Kuijer M, Smits G, Verschuren WMM, Picavet HSJ, van der Klis FRM, den Hartog G, van Binnendijk RS, Buisman AM. Reduced Antibody Acquisition with Increasing Age following Vaccination with BNT162b2: Results from Two Longitudinal Cohort Studies in The Netherlands. Vaccines (Basel) 2022; 10:vaccines10091480. [PMID: 36146557 PMCID: PMC9504637 DOI: 10.3390/vaccines10091480] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2022] [Revised: 08/25/2022] [Accepted: 08/30/2022] [Indexed: 11/16/2022] Open
Abstract
Vaccine-induced protection against severe COVID-19, hospitalization, and death is of the utmost importance, especially in the elderly. However, limited data are available on humoral immune responses following COVID-19 vaccination in the general population across a broad age range. We performed an integrated analysis of the effect of age, sex, and prior SARS-CoV-2 infection on Spike S1-specific (S1) IgG concentrations up to three months post-BNT162b2 (Pfizer/BioNTech; Comirnaty) vaccination. In total, 1735 persons, eligible for COVID-19 vaccination through the national program, were recruited from the general population (12 to 92 years old). Sixty percent were female, and the median vaccination interval was 35 days (interquartile range, IQR: 35−35). All participants had seroconverted to S1 one month after two vaccine doses. S1 IgG was higher in participants with a history of SARS-CoV-2 infection (median: 4535 BAU/mL, IQR: 2341−7205) compared to infection-naive persons (1842 BAU/mL, 1019−3116), p < 0.001. In infection-naive persons, linear mixed effects regression showed a strong negative association between age and S1 IgG (p < 0.001) across the entire age range. Females had higher S1 IgG than males (p < 0.001). In persons with an infection history, age nor sex was associated with S1 IgG concentrations. The lower magnitude of S1 antibodies in older persons following COVID-19 vaccination will affect long-term protection.
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Affiliation(s)
- Lotus Leonie van den Hoogen
- Centre for Immunology of Infectious Diseases and Vaccines, National Institute for Public Health and the Environment (RIVM), 3721 MA Bilthoven, The Netherlands
- Correspondence:
| | - Mardi Boer
- Centre for Immunology of Infectious Diseases and Vaccines, National Institute for Public Health and the Environment (RIVM), 3721 MA Bilthoven, The Netherlands
| | - Abigail Postema
- Centre for Immunology of Infectious Diseases and Vaccines, National Institute for Public Health and the Environment (RIVM), 3721 MA Bilthoven, The Netherlands
| | - Lia de Rond
- Centre for Immunology of Infectious Diseases and Vaccines, National Institute for Public Health and the Environment (RIVM), 3721 MA Bilthoven, The Netherlands
| | - Mary-lène de Zeeuw-Brouwer
- Centre for Immunology of Infectious Diseases and Vaccines, National Institute for Public Health and the Environment (RIVM), 3721 MA Bilthoven, The Netherlands
| | - Inge Pronk
- Centre for Immunology of Infectious Diseases and Vaccines, National Institute for Public Health and the Environment (RIVM), 3721 MA Bilthoven, The Netherlands
| | - Alienke Jentien Wijmenga-Monsuur
- Centre for Immunology of Infectious Diseases and Vaccines, National Institute for Public Health and the Environment (RIVM), 3721 MA Bilthoven, The Netherlands
| | - Elske Bijvank
- Centre for Immunology of Infectious Diseases and Vaccines, National Institute for Public Health and the Environment (RIVM), 3721 MA Bilthoven, The Netherlands
| | - Caitlyn Kruiper
- Centre for Immunology of Infectious Diseases and Vaccines, National Institute for Public Health and the Environment (RIVM), 3721 MA Bilthoven, The Netherlands
| | - Lisa Beckers
- Centre for Immunology of Infectious Diseases and Vaccines, National Institute for Public Health and the Environment (RIVM), 3721 MA Bilthoven, The Netherlands
| | - Marjan Bogaard-van Maurik
- Centre for Immunology of Infectious Diseases and Vaccines, National Institute for Public Health and the Environment (RIVM), 3721 MA Bilthoven, The Netherlands
| | - Ilse Zutt
- Centre for Immunology of Infectious Diseases and Vaccines, National Institute for Public Health and the Environment (RIVM), 3721 MA Bilthoven, The Netherlands
| | - Jeffrey van Vliet
- Centre for Immunology of Infectious Diseases and Vaccines, National Institute for Public Health and the Environment (RIVM), 3721 MA Bilthoven, The Netherlands
| | - Rianne van Bergen
- Centre for Immunology of Infectious Diseases and Vaccines, National Institute for Public Health and the Environment (RIVM), 3721 MA Bilthoven, The Netherlands
| | - Marjan Kuijer
- Centre for Immunology of Infectious Diseases and Vaccines, National Institute for Public Health and the Environment (RIVM), 3721 MA Bilthoven, The Netherlands
| | - Gaby Smits
- Centre for Immunology of Infectious Diseases and Vaccines, National Institute for Public Health and the Environment (RIVM), 3721 MA Bilthoven, The Netherlands
| | - W. M. Monique Verschuren
- Centre for Prevention and Health Services Research, National Institute for Public Health and the Environment (RIVM), 3721 MA Bilthoven, The Netherlands
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, 3508 TC Utrecht, The Netherlands
| | - H. Susan J. Picavet
- Centre for Prevention and Health Services Research, National Institute for Public Health and the Environment (RIVM), 3721 MA Bilthoven, The Netherlands
| | - Fiona Regina Maria van der Klis
- Centre for Immunology of Infectious Diseases and Vaccines, National Institute for Public Health and the Environment (RIVM), 3721 MA Bilthoven, The Netherlands
| | - Gerco den Hartog
- Centre for Immunology of Infectious Diseases and Vaccines, National Institute for Public Health and the Environment (RIVM), 3721 MA Bilthoven, The Netherlands
| | - Robert Samuel van Binnendijk
- Centre for Immunology of Infectious Diseases and Vaccines, National Institute for Public Health and the Environment (RIVM), 3721 MA Bilthoven, The Netherlands
| | - Anne-Marie Buisman
- Centre for Immunology of Infectious Diseases and Vaccines, National Institute for Public Health and the Environment (RIVM), 3721 MA Bilthoven, The Netherlands
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24
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Castrejón-Jiménez NS, García-Pérez BE, Reyes-Rodríguez NE, Vega-Sánchez V, Martínez-Juárez VM, Hernández-González JC. Challenges in the Detection of SARS-CoV-2: Evolution of the Lateral Flow Immunoassay as a Valuable Tool for Viral Diagnosis. BIOSENSORS 2022; 12:bios12090728. [PMID: 36140114 PMCID: PMC9496238 DOI: 10.3390/bios12090728] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/30/2022] [Revised: 09/02/2022] [Accepted: 09/02/2022] [Indexed: 12/11/2022]
Abstract
SARS-CoV-2 is an emerging infectious disease of zoonotic origin that caused the coronavirus disease in late 2019 and triggered a pandemic that has severely affected human health and caused millions of deaths. Early and massive diagnosis of SARS-CoV-2 infected patients is the key to preventing the spread of the virus and controlling the outbreak. Lateral flow immunoassays (LFIA) are the simplest biosensors. These devices are clinical diagnostic tools that can detect various analytes, including viruses and antibodies, with high sensitivity and specificity. This review summarizes the advantages, limitations, and evolution of LFIA during the SARS-CoV-2 pandemic and the challenges of improving these diagnostic devices.
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Affiliation(s)
- Nayeli Shantal Castrejón-Jiménez
- Área Académica de Medicina Veterinaria y Zootecnia, Instituto de Ciencias Agropecuarias, Universidad Autónoma del Estado de Hidalgo, Av. Universidad km 1 Exhacienda de Aquetzalpa A.P. 32, Tulancingo 43600, Mexico
| | - Blanca Estela García-Pérez
- Department of Microbiology, Instituto Politécnico Nacional, Escuela Nacional de Ciencias Biológicas Prolongación de Carpio y Plan de Ayala S/N, Col. Santo Tomás, México City 11340, Mexico
| | - Nydia Edith Reyes-Rodríguez
- Área Académica de Medicina Veterinaria y Zootecnia, Instituto de Ciencias Agropecuarias, Universidad Autónoma del Estado de Hidalgo, Av. Universidad km 1 Exhacienda de Aquetzalpa A.P. 32, Tulancingo 43600, Mexico
| | - Vicente Vega-Sánchez
- Área Académica de Medicina Veterinaria y Zootecnia, Instituto de Ciencias Agropecuarias, Universidad Autónoma del Estado de Hidalgo, Av. Universidad km 1 Exhacienda de Aquetzalpa A.P. 32, Tulancingo 43600, Mexico
| | - Víctor Manuel Martínez-Juárez
- Área Académica de Medicina Veterinaria y Zootecnia, Instituto de Ciencias Agropecuarias, Universidad Autónoma del Estado de Hidalgo, Av. Universidad km 1 Exhacienda de Aquetzalpa A.P. 32, Tulancingo 43600, Mexico
| | - Juan Carlos Hernández-González
- Área Académica de Medicina Veterinaria y Zootecnia, Instituto de Ciencias Agropecuarias, Universidad Autónoma del Estado de Hidalgo, Av. Universidad km 1 Exhacienda de Aquetzalpa A.P. 32, Tulancingo 43600, Mexico
- Correspondence: ; Tel.: +52-775-756-0308
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25
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Emmelot ME, Vos M, Boer MC, Rots NY, de Wit J, van Els CACM, Kaaijk P. Omicron BA.1 Mutations in SARS-CoV-2 Spike Lead to Reduced T-Cell Response in Vaccinated and Convalescent Individuals. Viruses 2022; 14:v14071570. [PMID: 35891550 PMCID: PMC9318964 DOI: 10.3390/v14071570] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2022] [Revised: 07/05/2022] [Accepted: 07/18/2022] [Indexed: 01/14/2023] Open
Abstract
Omicron BA.1 variant can readily infect people with vaccine-induced or naturally acquired SARS-CoV-2 immunity facilitated by escape from neutralizing antibodies. In contrast, T-cell reactivity against the Omicron BA.1 variant seems relatively well preserved. Here, we studied the preexisting T cells elicited by either vaccination with the mRNA-based BNT162b2 vaccine or by natural infection with ancestral SARS-CoV-2 for their cross-reactive potential to 20 selected CD4+ T-cell epitopes of spike-protein-harboring Omicron BA.1 mutations. Although the overall memory CD4+ T-cell responses primed by the ancestral spike protein was still preserved generally, we show here that there is also a clear loss of memory CD4+ T-cell cross-reactivity to immunodominant epitopes across the spike protein due to Omicron BA.1 mutations. Complete or partial loss of preexisting T-cell responsiveness was observed against 60% of 20 nonconserved CD4+ T-cell epitopes predicted to be presented by a broad set of common HLA class II alleles. Monitoring such mutations in circulating strains helps predict which virus variants may escape previously induced cellular immunity and could be of concern.
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Affiliation(s)
- Maarten E. Emmelot
- Centre for Infectious Disease Control, National Institute for Public Health and the Environment (RIVM), 3721 MA Bilthoven, The Netherlands; (M.E.E.); (M.V.); (M.C.B.); (N.Y.R.); (J.d.W.); (C.A.C.M.v.E.)
| | - Martijn Vos
- Centre for Infectious Disease Control, National Institute for Public Health and the Environment (RIVM), 3721 MA Bilthoven, The Netherlands; (M.E.E.); (M.V.); (M.C.B.); (N.Y.R.); (J.d.W.); (C.A.C.M.v.E.)
| | - Mardi C. Boer
- Centre for Infectious Disease Control, National Institute for Public Health and the Environment (RIVM), 3721 MA Bilthoven, The Netherlands; (M.E.E.); (M.V.); (M.C.B.); (N.Y.R.); (J.d.W.); (C.A.C.M.v.E.)
| | - Nynke Y. Rots
- Centre for Infectious Disease Control, National Institute for Public Health and the Environment (RIVM), 3721 MA Bilthoven, The Netherlands; (M.E.E.); (M.V.); (M.C.B.); (N.Y.R.); (J.d.W.); (C.A.C.M.v.E.)
| | - Jelle de Wit
- Centre for Infectious Disease Control, National Institute for Public Health and the Environment (RIVM), 3721 MA Bilthoven, The Netherlands; (M.E.E.); (M.V.); (M.C.B.); (N.Y.R.); (J.d.W.); (C.A.C.M.v.E.)
| | - Cécile A. C. M. van Els
- Centre for Infectious Disease Control, National Institute for Public Health and the Environment (RIVM), 3721 MA Bilthoven, The Netherlands; (M.E.E.); (M.V.); (M.C.B.); (N.Y.R.); (J.d.W.); (C.A.C.M.v.E.)
- Faculty of Veterinary Medicine, Utrecht University, 3584 CL Utrecht, The Netherlands
| | - Patricia Kaaijk
- Centre for Infectious Disease Control, National Institute for Public Health and the Environment (RIVM), 3721 MA Bilthoven, The Netherlands; (M.E.E.); (M.V.); (M.C.B.); (N.Y.R.); (J.d.W.); (C.A.C.M.v.E.)
- Correspondence:
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26
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Impact of Prior Infection on SARS-CoV-2 Antibody Responses in Vaccinated Long-Term Care Facility Staff. mSphere 2022; 7:e0016922. [PMID: 35862798 PMCID: PMC9429942 DOI: 10.1128/msphere.00169-22] [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] [Indexed: 11/20/2022] Open
Abstract
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) emerged in 2019 and has resulted in millions of deaths worldwide. Certain populations are at higher risk for infection, especially staff and residents at long-term care facilities (LTCF), due to the congregant living setting and high proportions of residents with many comorbidities. Prior to vaccine availability, these populations represented large fractions of total coronavirus disease 2019 (COVID-19) cases and deaths in the United States. Due to the high-risk setting and outbreak potential, staff and residents were among the first groups to be vaccinated. To define the impact of prior infection on the response to vaccination, we measured antibody responses in a cohort of staff members at an LTCF, many of whom were previously infected by SARS-CoV-2. We found that neutralizing, receptor-binding domain (RBD)-binding, and nucleoprotein (NP)-binding antibody levels were significantly higher after the full vaccination course in individuals that were previously infected and that NP antibody levels could discriminate individuals with prior infection from vaccinated individuals. While an anticipated antibody titer increase was observed after a vaccine booster dose in naive individuals, a boost response was not observed in individuals with previous COVID-19 infection. We observed a strong relationship between neutralizing antibodies and RBD-binding antibodies postvaccination across all groups, whereas no relationship was observed between NP-binding and neutralizing antibodies. One individual with high levels of neutralizing and binding antibodies experienced a breakthrough infection (prior to the introduction of Omicron), demonstrating that the presence of antibodies is not always sufficient for complete protection against infection. These results highlight that a history of COVID-19 exposure significantly increases SARS-CoV-2 antibody responses following vaccination. IMPORTANCE Long-term care facilities (LTCFs) have been disproportionately impacted by COVID-19, due to their communal nature, the high-risk profile of residents, and the vulnerability of residents to respiratory pathogens. In this study, we analyzed the role of prior natural immunity to SARS-CoV-2 in postvaccination antibody responses. The LTCF in our cohort experienced a large outbreak, with almost 40% of staff members becoming infected. We found that individuals that were infected prior to vaccination had higher levels of neutralizing and binding antibodies postvaccination. Importantly, the second vaccine dose significantly boosted antibody levels in those that were immunologically naive prior to vaccination, but not in those that had prior immunity. Regardless of the prevaccination immune status, the levels of binding and neutralizing antibodies were highly correlated. The presence of NP-binding antibodies could be used to identify individuals that were previously infected when prevaccination immune status was not known. Our results reveal that vaccination antibody responses differ depending on prior natural immunity.
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27
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Streng BMM, Bont M, Delemarre EM, Binnendijk RS, Smit G, den Hartog G, Coppus AMW, de Vries E, Weijerman ME, Lamberts R, de Graaf G, van der Klis FR, Vidarsson G, Rave N, Bont LJ, Wildenbeest JG. Decreased antibody response after SARS-CoV-2 vaccination in patients with Down Syndrome. J Infect Dis 2022; 226:673-677. [PMID: 35748853 PMCID: PMC9278229 DOI: 10.1093/infdis/jiac235] [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: 02/15/2022] [Accepted: 06/10/2022] [Indexed: 11/13/2022] Open
Abstract
The risk of a severe course of SARS-CoV-2 infection in adults with Down syndrome is increased, resulting in an up to 10-fold increase in mortality, in particular in those over 40 years of age. After primary SARS-CoV-2 vaccination the higher risks remain. In this prospective observational cohort study, SARS-CoV-2 spike S1-specific antibody responses after routine SARS-CoV-2 vaccination (BNT162b2, mRNA-1273 or ChAdOx1) in adults with Down syndrome and healthy controls were compared. Adults with Down syndrome showed lower antibody concentrations after two mRNA vaccinations or after two ChAdOx1 vaccinations. After two mRNA vaccinations lower antibody concentrations were seen with increasing age.
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Affiliation(s)
- Bianca M M Streng
- Department of Paediatric infectious diseases and immunology, Wilhelmina Children's Hospital, University Medical Centre Utrecht, The Netherlands
| | - Marin Bont
- Department of Paediatric infectious diseases and immunology, Wilhelmina Children's Hospital, University Medical Centre Utrecht, The Netherlands
| | - Eveline M Delemarre
- Department of Paediatric infectious diseases and immunology, Wilhelmina Children's Hospital, University Medical Centre Utrecht, The Netherlands.,Center of Translational Immunology (CTI), University Medical Center Utrecht, Utrecht, The Netherlands
| | - Rob S Binnendijk
- Laboratory for Vaccine-Preventable Diseases, National Institute of Public Health and the Environment, The Netherlands
| | - Gaby Smit
- Laboratory for Vaccine-Preventable Diseases, National Institute of Public Health and the Environment, The Netherlands
| | - Gerco den Hartog
- Laboratory for Vaccine-Preventable Diseases, National Institute of Public Health and the Environment, The Netherlands
| | - Antonia M W Coppus
- Department for Primary and Community Care, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Esther de Vries
- Tranzo, Tilburg School of Social and Behavioral Sciences, Tilburg University, Tilburg, The Netherlands.,Jeroen Bosch Academy Research, Jeroen Bosch Hospital, 's-Hertogenbosch, The Netherlands
| | | | - Regina Lamberts
- Department of Pediatrics, Alrijne Hospital, Leiderdorp, The Netherlands
| | - Gert de Graaf
- Foundation 'Stichting Down Syndroom', Meppel, The Netherlands
| | - Fiona R van der Klis
- Laboratory for Vaccine-Preventable Diseases, National Institute of Public Health and the Environment, The Netherlands
| | - Gestur Vidarsson
- Sanquin Research, and Landsteiner Laboratory, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands., Department of Biomolecular Mass Spectrometry and Proteomics, Utrecht Institute for Pharmaceutical Sciences and Bijvoet Center for Biomolecular Research, Utrecht University, Utrecht, The Netherlands
| | - Neele Rave
- Department of Paediatric infectious diseases and immunology, Wilhelmina Children's Hospital, University Medical Centre Utrecht, The Netherlands
| | - Louis J Bont
- Department of Paediatric infectious diseases and immunology, Wilhelmina Children's Hospital, University Medical Centre Utrecht, The Netherlands
| | - Joanne G Wildenbeest
- Department of Paediatric infectious diseases and immunology, Wilhelmina Children's Hospital, University Medical Centre Utrecht, The Netherlands
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