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Lorenz N, McGregor R, Whitcombe AL, Sharma P, Ramiah C, Middleton F, Baker MG, Martin WJ, Wilson NJ, Chung AW, Moreland NJ. An acute rheumatic fever immune signature comprising inflammatory markers, IgG3, and Streptococcus pyogenes-specific antibodies. iScience 2024; 27:110558. [PMID: 39184444 PMCID: PMC11342286 DOI: 10.1016/j.isci.2024.110558] [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: 04/24/2024] [Revised: 07/11/2024] [Accepted: 07/17/2024] [Indexed: 08/27/2024] Open
Abstract
Understanding the immune profile of acute rheumatic fever (ARF), a serious post-infectious sequelae of Streptococcal pyogenes (group A Streptococcus [GAS]), could inform disease pathogenesis and management. Circulating cytokines, immunoglobulins, and complement were analyzed in participants with first-episode ARF, swab-positive GAS pharyngitis and matched healthy controls. A striking elevation of total IgG3 was observed in ARF (90% > clinical reference range for normal). ARF was also associated with an inflammatory triad with significant correlations between interleukin-6, C-reactive protein, and complement C4 absent in controls. Quantification of GAS-specific antibody responses revealed that subclass polarization was remarkably consistent across the disease spectrum; conserved protein antigens polarized to IgG1, while M-protein responses polarized to IgG3 in all groups. However, the magnitude of responses was significantly higher in ARF. Taken together, these findings emphasize the association of exaggerated GAS antibody responses, IgG3, and inflammatory cytokines in ARF and suggest IgG3 testing could beneficially augment clinical diagnosis.
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Affiliation(s)
- Natalie Lorenz
- School of Medical Science, Faculty of Medical and Health Sciences, The University of Auckland, Auckland, New Zealand
- Maurice Wilkins Centre for Biodiscovery, The University of Auckland, Auckland, New Zealand
| | - Reuben McGregor
- School of Medical Science, Faculty of Medical and Health Sciences, The University of Auckland, Auckland, New Zealand
- Maurice Wilkins Centre for Biodiscovery, The University of Auckland, Auckland, New Zealand
| | - Alana L. Whitcombe
- School of Medical Science, Faculty of Medical and Health Sciences, The University of Auckland, Auckland, New Zealand
- Maurice Wilkins Centre for Biodiscovery, The University of Auckland, Auckland, New Zealand
| | - Prachi Sharma
- School of Medical Science, Faculty of Medical and Health Sciences, The University of Auckland, Auckland, New Zealand
| | - Ciara Ramiah
- School of Medical Science, Faculty of Medical and Health Sciences, The University of Auckland, Auckland, New Zealand
| | - Francis Middleton
- School of Medical Science, Faculty of Medical and Health Sciences, The University of Auckland, Auckland, New Zealand
- Maurice Wilkins Centre for Biodiscovery, The University of Auckland, Auckland, New Zealand
| | - Michael G. Baker
- Maurice Wilkins Centre for Biodiscovery, The University of Auckland, Auckland, New Zealand
- Department of Public Health, University of Otago, Wellington, New Zealand
| | | | - Nigel J. Wilson
- Starship Children’s Hospital, Health New Zealand – Te Whatu Ora, Auckland, New Zealand
| | - Amy W. Chung
- Department of Microbiology and Immunology, Peter Doherty Institute for Infection and Immunity, University of Melbourne, Melbourne, VIC, Australia
| | - Nicole J. Moreland
- School of Medical Science, Faculty of Medical and Health Sciences, The University of Auckland, Auckland, New Zealand
- Maurice Wilkins Centre for Biodiscovery, The University of Auckland, Auckland, New Zealand
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Binder RA, Matta AM, Forconi CS, Oduor CI, Bedekar P, Patrone PN, Kearsley AJ, Odwar B, Batista J, Forrester SN, Leftwich HK, Cavacini LA, Moormann AM. Minding the margins: Evaluating the impact of COVID-19 among Latinx and Black communities with optimal qualitative serological assessment tools. PLoS One 2024; 19:e0307568. [PMID: 39052608 PMCID: PMC11271856 DOI: 10.1371/journal.pone.0307568] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2024] [Accepted: 07/08/2024] [Indexed: 07/27/2024] Open
Abstract
COVID-19 disproportionately affected minorities, while research barriers to engage underserved communities persist. Serological studies reveal infection and vaccination histories within these communities, however lack of consensus on downstream evaluation methods impede meta-analyses and dampen the broader public health impact. To reveal the impact of COVID-19 and vaccine uptake among diverse communities and to develop rigorous serological downstream evaluation methods, we engaged racial and ethnic minorities in Massachusetts in a cross-sectional study (April-July 2022), screened blood and saliva for SARS-CoV-2 and human endemic coronavirus (hCoV) antibodies by bead-based multiplex assay and point-of-care (POC) test and developed across-plate normalization and classification boundary methods for optimal qualitative serological assessments. Among 290 participants, 91.4% reported receiving at least one dose of a COVID-19 vaccine, while 41.7% reported past SARS-CoV-2 infections, which was confirmed by POC- and multiplex-based saliva and blood IgG seroprevalences. We found significant differences in antigen-specific IgA and IgG antibody outcomes and indication of cross-reactivity with hCoV OC43. Finally, 26.5% of participants reported lingering COVID-19 symptoms, mostly middle-aged Latinas. Hence, prolonged COVID-19 symptoms were common among our underserved population and require public health attention, despite high COVID-19 vaccine uptake. Saliva served as a less-invasive sample-type for IgG-based serosurveys and hCoV cross-reactivity needed to be evaluated for reliable SARS-CoV-2 serosurvey results. The use of the developed rigorous downstream qualitative serological assessment methods will help standardize serosurvey outcomes and meta-analyses for future serosurveys beyond SARS-CoV-2.
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Affiliation(s)
- Raquel A Binder
- Department of Medicine, University of Massachusetts Chan Medical School, Worcester, MA, United States of America
| | - Angela M Matta
- Department of Medicine, University of Massachusetts Chan Medical School, Worcester, MA, United States of America
| | - Catherine S Forconi
- Department of Medicine, University of Massachusetts Chan Medical School, Worcester, MA, United States of America
| | - Cliff I Oduor
- Department of Pathology and Laboratory Medicine, Warren Alpert Medical School, Brown University, Providence, RI, United States of America
| | - Prajakta Bedekar
- Applied and Computational Mathematics Division, National Institute of Standards and Technology, Gaithersburg, MD, United States of America
- Department of Applied Mathematics and Statistics, Johns Hopkins University, Baltimore, MD, United States of America
| | - Paul N Patrone
- Applied and Computational Mathematics Division, National Institute of Standards and Technology, Gaithersburg, MD, United States of America
| | - Anthony J Kearsley
- Applied and Computational Mathematics Division, National Institute of Standards and Technology, Gaithersburg, MD, United States of America
| | - Boaz Odwar
- Department of Medicine, University of Massachusetts Chan Medical School, Worcester, MA, United States of America
| | - Jennifer Batista
- Department of Population and Quantitative Health Sciences, University of Massachusetts Chan Medical School, Worcester, MA, United States of America
| | - Sarah N Forrester
- Department of Population and Quantitative Health Sciences, University of Massachusetts Chan Medical School, Worcester, MA, United States of America
| | - Heidi K Leftwich
- Department of Obstetrics and Gynecology, University of Massachusetts Chan Medical School, Worcester, MA, United States of America
| | - Lisa A Cavacini
- Department of Medicine, University of Massachusetts Chan Medical School, Worcester, MA, United States of America
| | - Ann M Moormann
- Department of Medicine, University of Massachusetts Chan Medical School, Worcester, MA, United States of America
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Terstappen J, Delemarre EM, Versnel A, White JT, Derrien-Colemyn A, Ruckwardt TJ, Bont LJ, Mazur NI. RSV Neutralizing Antibodies in Dried Blood. J Infect Dis 2024; 230:e93-e101. [PMID: 39052716 PMCID: PMC11272053 DOI: 10.1093/infdis/jiad543] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2023] [Revised: 10/25/2023] [Accepted: 11/28/2023] [Indexed: 12/02/2023] Open
Abstract
BACKGROUND The key correlate of protection of respiratory syncytial virus (RSV) vaccines and monoclonal antibodies (mAbs) is virus neutralization, measured via sera obtained through venipuncture. Dried blood obtained with a finger prick can simplify acquisition, processing, storage, and transport in trials and thereby reduce costs. In this study, we validate an assay to measure RSV neutralization in dried capillary blood. METHODS Functional antibodies were compared between matched serum and dried blood samples from a phase 1 trial with RSM01, an investigational anti-RSV prefusion F mAb. Hep-2 cells were infected with a serial dilution of sample-virus mixture by using RSV-A2-mKate to determine the half-maximal inhibitory concentration. Stability of dried blood was evaluated over time and during temperature stress. RESULTS Functional antibodies in dried blood were highly correlated with serum (R2 = 0.98, P < .0001). The precision of the assay for dried blood was similar to serum. The function of mAb remained stable for 9 months at room temperature and frozen dried blood samples. CONCLUSIONS We demonstrated the feasibility of measuring RSV neutralization using dried blood as a patient-centered solution that may replace serology testing in trials against RSV or other viruses, such as influenza and SARS-CoV-2. Clinical Trials Registration. NCT05118386 (ClinicalTrials.gov).
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Affiliation(s)
- Jonne Terstappen
- Department of Pediatric Infectious Diseases and Immunology, Wilhelmina Children's Hospital, University Medical Center Utrecht, the Netherlands
- Center for Translational Immunology, University Medical Centre Utrecht, the Netherlands
| | - Eveline M Delemarre
- Center for Translational Immunology, University Medical Centre Utrecht, the Netherlands
| | - Anouk Versnel
- Center for Translational Immunology, University Medical Centre Utrecht, the Netherlands
| | - Joleen T White
- Bioassay Development and Operations, Bill & Melinda Gates Medical Research Institute, Cambridge, Massachusetts
| | - Alexandrine Derrien-Colemyn
- Vaccine Research Center, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, Maryland
| | - Tracy J Ruckwardt
- Vaccine Research Center, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, Maryland
| | - Louis J Bont
- Department of Pediatric Infectious Diseases and Immunology, Wilhelmina Children's Hospital, University Medical Center Utrecht, the Netherlands
- Center for Translational Immunology, University Medical Centre Utrecht, the Netherlands
- Respiratory Syncytial Virus Network Foundation, Zeist
| | - Natalie I Mazur
- Department of Pediatric Infectious Diseases and Immunology, Wilhelmina Children's Hospital, University Medical Center Utrecht, the Netherlands
- Center for Translational Immunology, University Medical Centre Utrecht, the Netherlands
- Department of Pediatrics, St Antonius Hospital, Nieuwegein, Netherlands
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4
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Binder RA, Matta AM, Forconi CS, Oduor CI, Bedekar P, Patrone PN, Kearsley AJ, Odwar B, Batista J, Forrester SN, Leftwich HK, Cavacini LA, Moormann AM. Minding the margins: Evaluating the impact of COVID-19 among Latinx and Black communities with optimal qualitative serological assessment tools. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.05.23.24307817. [PMID: 38826359 PMCID: PMC11142299 DOI: 10.1101/2024.05.23.24307817] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/04/2024]
Abstract
COVID-19 disproportionately affected minorities, while research barriers to engage underserved communities persist. Serological studies reveal infection and vaccination histories within these communities, however lack of consensus on downstream evaluation methods impede meta-analyses and dampen the broader public health impact. To reveal the impact of COVID-19 and vaccine uptake among diverse communities and to develop rigorous serological downstream evaluation methods, we engaged racial and ethnic minorities in Massachusetts in a cross-sectional study (April - July 2022), screened blood and saliva for SARS-CoV-2 and human endemic coronavirus (hCoV) antibodies by bead-based multiplex assay and point-of-care (POC) test and developed across-plate normalization and classification boundary methods for optimal qualitative serological assessments. Among 290 participants, 91.4 % reported receiving at least one dose of a COVID-19 vaccine, while 41.7 % reported past SARS-CoV-2 infections, which was confirmed by POC- and multiplex-based saliva and blood IgG seroprevalences. We found significant differences in antigen-specific IgA and IgG antibody outcomes and indication of cross-reactivity with hCoV OC43. Finally, 26.5 % of participants reported lingering COVID-19 symptoms, mostly middle-aged Latinas. Hence, prolonged COVID-19 symptoms were common among our underserved population and require public health attention, despite high COVID-19 vaccine uptake. Saliva served as a less-invasive sample-type for IgG-based serosurveys and hCoV cross-reactivity needed to be evaluated for reliable SARS-CoV-2 serosurvey results. Using the developed rigorous downstream qualitative serological assessment methods will help standardize serosurvey outcomes and meta-analyses for future serosurveys beyond SARS-CoV-2.
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5
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Selvavinayagam TS, Somasundaram A, Selvam JM, Sampath P, Vijayalakshmi V, Kumar CAB, Subramaniam S, Kumarasamy P, Raju S, Avudaiselvi R, Prakash V, Yogananth N, Subramanian G, Roshini A, Dhiliban DN, Imad S, Tandel V, Parasa R, Sachdeva S, Ramachandran S, Malani A. Contribution of infection and vaccination to population-level seroprevalence through two COVID waves in Tamil Nadu, India. Sci Rep 2024; 14:2091. [PMID: 38267448 PMCID: PMC10808562 DOI: 10.1038/s41598-023-50338-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2023] [Accepted: 12/19/2023] [Indexed: 01/26/2024] Open
Abstract
This study employs repeated, large panels of serological surveys to document rapid and substantial waning of SARS-CoV-2 antibodies at the population level and to calculate the extent to which infection and vaccination separately contribute to seroprevalence estimates. Four rounds of serological surveys were conducted, spanning two COVID waves (October 2020 and April-May 2021), in Tamil Nadu (population 72 million) state in India. Each round included representative populations in each district of the state, totaling ≥ 20,000 persons per round. State-level seroprevalence was 31.5% in round 1 (October-November 2020), after India's first COVID wave. Seroprevalence fell to 22.9% in round 2 (April 2021), a roughly one-third decline in 6 months, consistent with dramatic waning of SARS-Cov-2 antibodies from natural infection. Seroprevalence rose to 67.1% by round 3 (June-July 2021), with infections from the Delta-variant induced second COVID wave accounting for 74% of the increase. Seroprevalence rose to 93.1% by round 4 (December 2021-January 2022), with vaccinations accounting for 63% of the increase. Antibodies also appear to wane after vaccination. Seroprevalence in urban areas was higher than in rural areas, but the gap shrunk over time (35.7 v. 25.7% in round 1, 89.8% v. 91.4% in round 4) as the epidemic spread even in low-density rural areas.
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Affiliation(s)
- T S Selvavinayagam
- Directorate of Public Health and Preventative Medicine, Government of Tamil Nadu, Chennai, Tamil Nadu, India
| | | | - Jerard Maria Selvam
- Directorate of Public Health and Preventative Medicine, Government of Tamil Nadu, Chennai, Tamil Nadu, India
| | - P Sampath
- Directorate of Public Health and Preventative Medicine, Government of Tamil Nadu, Chennai, Tamil Nadu, India
| | - V Vijayalakshmi
- Directorate of Public Health and Preventative Medicine, Government of Tamil Nadu, Chennai, Tamil Nadu, India
| | - C Ajith Brabhu Kumar
- Directorate of Public Health and Preventative Medicine, Government of Tamil Nadu, Chennai, Tamil Nadu, India
| | | | - Parthipan Kumarasamy
- Directorate of Public Health and Preventative Medicine, Government of Tamil Nadu, Chennai, Tamil Nadu, India
| | - S Raju
- Directorate of Public Health and Preventative Medicine, Government of Tamil Nadu, Chennai, Tamil Nadu, India
| | - R Avudaiselvi
- Directorate of Public Health and Preventative Medicine, Government of Tamil Nadu, Chennai, Tamil Nadu, India
| | - V Prakash
- Directorate of Public Health and Preventative Medicine, Government of Tamil Nadu, Chennai, Tamil Nadu, India
| | - N Yogananth
- Directorate of Public Health and Preventative Medicine, Government of Tamil Nadu, Chennai, Tamil Nadu, India
| | - Gurunathan Subramanian
- Directorate of Public Health and Preventative Medicine, Government of Tamil Nadu, Chennai, Tamil Nadu, India
| | - A Roshini
- Directorate of Public Health and Preventative Medicine, Government of Tamil Nadu, Chennai, Tamil Nadu, India
| | - D N Dhiliban
- Directorate of Public Health and Preventative Medicine, Government of Tamil Nadu, Chennai, Tamil Nadu, India
| | - Sofia Imad
- Artha Global, Mumbai, Maharashtra, India
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6
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Raineri A, Radtke T, Rueegg S, Haile SR, Menges D, Ballouz T, Ulyte A, Fehr J, Cornejo DL, Pantaleo G, Pellaton C, Fenwick C, Puhan MA, Kriemler S. Persistent humoral immune response in youth throughout the COVID-19 pandemic: prospective school-based cohort study. Nat Commun 2023; 14:7764. [PMID: 38012137 PMCID: PMC10682435 DOI: 10.1038/s41467-023-43330-y] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2023] [Accepted: 11/06/2023] [Indexed: 11/29/2023] Open
Abstract
Understanding the development of humoral immune responses of children and adolescents to SARS-CoV-2 is essential for designing effective public health measures. Here we examine the changes of humoral immune response in school-aged children and adolescents during the COVID-19 pandemic (June 2020 to July 2022), with a specific interest in the Omicron variant (beginning of 2022). In our study "Ciao Corona", we assess in each of the five testing rounds between 1874 and 2500 children and adolescents from 55 schools in the canton of Zurich with a particular focus on a longitudinal cohort (n=751). By July 2022, 96.9% (95% credible interval 95.3-98.1%) of children and adolescents have SARS-CoV-2 anti-spike IgG (S-IgG) antibodies. Those with hybrid immunity or vaccination have higher S-IgG titres and stronger neutralising responses against Wildtype, Delta and Omicron BA.1 variants compared to those infected but unvaccinated. S-IgG persist over 18 months in 93% of children and adolescents. During the study period one adolescent was hospitalised for less than 24 hours possibly related to an acute SARS-CoV-2 infection. These findings show that the Omicron wave and the rollout of vaccines boosted S-IgG titres and neutralising capacity. Trial registration number: NCT04448717. https://clinicaltrials.gov/ct2/show/NCT04448717 .
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Affiliation(s)
- Alessia Raineri
- Epidemiology, Biostatistics and Prevention Institute (EBPI), University of Zurich, Hirschengraben 84, 8001 Zürich, Zurich, Switzerland
| | - Thomas Radtke
- Epidemiology, Biostatistics and Prevention Institute (EBPI), University of Zurich, Hirschengraben 84, 8001 Zürich, Zurich, Switzerland
| | - Sonja Rueegg
- Epidemiology, Biostatistics and Prevention Institute (EBPI), University of Zurich, Hirschengraben 84, 8001 Zürich, Zurich, Switzerland
| | - Sarah R Haile
- Epidemiology, Biostatistics and Prevention Institute (EBPI), University of Zurich, Hirschengraben 84, 8001 Zürich, Zurich, Switzerland
| | - Dominik Menges
- Epidemiology, Biostatistics and Prevention Institute (EBPI), University of Zurich, Hirschengraben 84, 8001 Zürich, Zurich, Switzerland
| | - Tala Ballouz
- Epidemiology, Biostatistics and Prevention Institute (EBPI), University of Zurich, Hirschengraben 84, 8001 Zürich, Zurich, Switzerland
| | - Agne Ulyte
- Epidemiology, Biostatistics and Prevention Institute (EBPI), University of Zurich, Hirschengraben 84, 8001 Zürich, Zurich, Switzerland
| | - Jan Fehr
- Epidemiology, Biostatistics and Prevention Institute (EBPI), University of Zurich, Hirschengraben 84, 8001 Zürich, Zurich, Switzerland
| | - Daniel L Cornejo
- Epidemiology, Biostatistics and Prevention Institute (EBPI), University of Zurich, Hirschengraben 84, 8001 Zürich, Zurich, Switzerland
| | - Giuseppe Pantaleo
- Service of Immunology and Allergy, Lausanne University Hospital (CHUV), University of Lausanne (UNIL), Lausanne, Switzerland
| | - Céline Pellaton
- Service of Immunology and Allergy, Lausanne University Hospital (CHUV), University of Lausanne (UNIL), Lausanne, Switzerland
| | - Craig Fenwick
- Service of Immunology and Allergy, Lausanne University Hospital (CHUV), University of Lausanne (UNIL), Lausanne, Switzerland
| | - Milo A Puhan
- Epidemiology, Biostatistics and Prevention Institute (EBPI), University of Zurich, Hirschengraben 84, 8001 Zürich, Zurich, Switzerland
| | - Susi Kriemler
- Epidemiology, Biostatistics and Prevention Institute (EBPI), University of Zurich, Hirschengraben 84, 8001 Zürich, Zurich, Switzerland.
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7
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El Abdellati K, Lucas A, Perron H, Tamouza R, Nkam I, Richard JR, Fried S, Barau C, Djonouma N, Pinot A, Fourati S, Rodriguez C, Coppens V, Meyer U, Morrens M, De Picker L, Leboyer M. High unrecognized SARS-CoV-2 exposure of newly admitted and hospitalized psychiatric patients. Brain Behav Immun 2023; 114:500-510. [PMID: 37741299 DOI: 10.1016/j.bbi.2023.09.014] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/27/2023] [Revised: 08/28/2023] [Accepted: 09/16/2023] [Indexed: 09/25/2023] Open
Abstract
BACKGROUND Patients with pre-existing mental disorders are at higher risk for SARS-CoV-2 infection and adverse outcomes, and severe mental illness, including mood and psychosis spectrum disorders, is associated with increased mortality risk. Despite their increased risk profile, patients with severe mental illness have been understudied during the pandemic, with limited estimates of exposure in inpatient settings. OBJECTIVE The aim of this study was to describe the SARS-CoV-2 seroprevalence and antibody titers, and pro-inflammatory cytokine concentrations of newly admitted or hospitalized psychiatric inpatients without known history of COVID-19 infection, using robust quantitative multi-antigen assessments, and compare patients' exposure to that of hospital staff. METHODS This multi-centric, cross-sectional study compared SARS-CoV-2 seroprevalence and titers of 285 patients (University Psychiatric Centre Duffel [UPCD] N = 194; Assistance-Publique-Hopitaux de Paris [AP-HP] N = 91), and 192 hospital caregivers (UPCD N = 130; AP-HP N = 62) at two large psychiatric care facilities between January 1st and the May 30th 2021. Serum levels of SARS-CoV-2 antibodies against Spike proteins (full length), spike subunit 1 (S1), spike subunit 2 (S2), spike subunit 1 receptor binding domain (S1-RBD) and Nucleocapsid proteins were quantitatively determined using an advanced capillary Western Blot technique. To assess the robustness of the between-group seroprevalence differences, we performed sensitivity analyses with stringent cut-offs for seropositivity. We also assessed peripheral concentrations of IL-6, IL-8 and TNF-a using ELLA assays. Secondary analyses included comparisons of SARS-CoV-2 seroprevalence and titers between patient diagnostic subgroups, and between newly admitted (hospitalization ≤ 7 days) and hospitalized patients (hospitalization > 7 days) and correlations between serological and cytokines. RESULTS Patients had a significantly higher SARS-CoV-2 seroprevalence (67.85 % [95% CI 62.20-73.02]) than hospital caregivers (27.08% [95% CI 21.29-33.77]), and had significantly higher global SARS-CoV-2 titers (F = 29.40, df = 2, p < 0.0001). Moreover, patients had a 2.51-fold (95% CI 1.95-3.20) higher SARS-CoV-2 exposure risk compared to hospital caregivers (Fisher's exact test, P < 0.0001). No difference was found in SARS-CoV-2 seroprevalence and titers between patient subgroups. Patients could be differentiated most accurately from hospital caregivers by their higher Spike protein titers (OR 136.54 [95% CI 43.08-481.98], P < 0.0001), lower S1 (OR 0.06 [95% CI 0.02-0.15], P < 0.0001) titers and higher IL-6 (OR 3.41 [95% CI 1.73-7.24], P < 0.0001) and TNF-α (OR 34.29 [95% CI 5.00-258.87], P < 0.0001) and lower titers of IL-8 (OR 0.13 [95% CI 0.05-0.30], P < 0.0001). Seropositive patients had significantly higher SARS-COV-2 antibody titers compared to seropositive hospital caregivers (F = 19.53, df = 2, P < 0.0001), while titers were not different in seronegative individuals. Pro-inflammatory cytokine concentrations were not associated with serological status. CONCLUSION Our work demonstrated a very high unrecognized exposure to SARS-CoV-2 among newly admitted and hospitalized psychiatric inpatients, which is cause for concern in the context of highly robust evidence of adverse outcomes following COVID-19 in psychiatric patients. Attention should be directed toward monitoring and mitigating exposure to infectious agents within psychiatric hospitals.
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Affiliation(s)
- K El Abdellati
- Collaborative Antwerp Psychiatric Research Institute (CAPRI), University of Antwerp, Antwerp, Belgium; Scientific Initiative of Neuropsychiatric and Psychopharmacological Studies (SINAPS), University Psychiatric Centre Duffel, Duffel, Belgium.
| | - A Lucas
- Institut des Maladies Métaboliques et Cardiovasculaires (I2MC), plateau We-Met, Inserm UMR1297 and Université Paul Sabatier, Toulouse, France
| | - H Perron
- GeNeuro, Plan-les-Ouates, Geneva, Switzerland; Geneuro-Innovation, Lyon, France
| | - R Tamouza
- INSERM U955 IMRB, Translational Neuropsychiatry laboratory, AP-HP, Hôpital Henri Mondor, DMU IMPACT, Fédération Hospitalo-Universitaire de Médecine de Précision en Psychiatrie (FHU ADAPT), Paris Est Créteil University, Fondation FondaMental, 94010 Créteil, France; ECNP Immuno-NeuroPsychiatry Network
| | - I Nkam
- INSERM U955 IMRB, Translational Neuropsychiatry laboratory, AP-HP, Hôpital Henri Mondor, DMU IMPACT, Fédération Hospitalo-Universitaire de Médecine de Précision en Psychiatrie (FHU ADAPT), Paris Est Créteil University, Fondation FondaMental, 94010 Créteil, France
| | - J-R Richard
- INSERM U955 IMRB, Translational Neuropsychiatry laboratory, AP-HP, Hôpital Henri Mondor, DMU IMPACT, Fédération Hospitalo-Universitaire de Médecine de Précision en Psychiatrie (FHU ADAPT), Paris Est Créteil University, Fondation FondaMental, 94010 Créteil, France
| | - S Fried
- Institut des Maladies Métaboliques et Cardiovasculaires (I2MC), plateau We-Met, Inserm UMR1297 and Université Paul Sabatier, Toulouse, France
| | - C Barau
- Plateforme de resources biologiques, Hôpital Universitaire Henri Mondor, Université Paris Est Créteil, Créteil, France
| | - N Djonouma
- Département Hospitalo-Universitaire de psychiatrie et d'addictologie des hopitaux Henri Mondor, Créteil, France
| | - A Pinot
- INSERM U955 IMRB, Translational Neuropsychiatry laboratory, AP-HP, Hôpital Henri Mondor, DMU IMPACT, Fédération Hospitalo-Universitaire de Médecine de Précision en Psychiatrie (FHU ADAPT), Paris Est Créteil University, Fondation FondaMental, 94010 Créteil, France
| | - S Fourati
- Department of Virology, INSERM U955, Team « Viruses, Hepatology, Cancer », Hôpitaux Universitaires Henri Mondor, Assistance Publique - Hôpitaux de Paris, Créteil, France
| | - C Rodriguez
- Department of Virology, INSERM U955, Team « Viruses, Hepatology, Cancer », Hôpitaux Universitaires Henri Mondor, Assistance Publique - Hôpitaux de Paris, Créteil, France
| | - V Coppens
- Collaborative Antwerp Psychiatric Research Institute (CAPRI), University of Antwerp, Antwerp, Belgium; Scientific Initiative of Neuropsychiatric and Psychopharmacological Studies (SINAPS), University Psychiatric Centre Duffel, Duffel, Belgium
| | - U Meyer
- ECNP Immuno-NeuroPsychiatry Network; Institute of Pharmacology and Toxicology, University of Zürich-Vetsuisse, Zürich, Switzerland; Neuroscience Center Zürich, Zürich, Switzerland
| | - M Morrens
- Collaborative Antwerp Psychiatric Research Institute (CAPRI), University of Antwerp, Antwerp, Belgium; Scientific Initiative of Neuropsychiatric and Psychopharmacological Studies (SINAPS), University Psychiatric Centre Duffel, Duffel, Belgium
| | - L De Picker
- Collaborative Antwerp Psychiatric Research Institute (CAPRI), University of Antwerp, Antwerp, Belgium; Scientific Initiative of Neuropsychiatric and Psychopharmacological Studies (SINAPS), University Psychiatric Centre Duffel, Duffel, Belgium; ECNP Immuno-NeuroPsychiatry Network
| | - M Leboyer
- INSERM U955 IMRB, Translational Neuropsychiatry laboratory, AP-HP, Hôpital Henri Mondor, DMU IMPACT, Fédération Hospitalo-Universitaire de Médecine de Précision en Psychiatrie (FHU ADAPT), Paris Est Créteil University, Fondation FondaMental, 94010 Créteil, France; ECNP Immuno-NeuroPsychiatry Network
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8
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Lavender B, Hooker C, Frampton C, Williams M, Carson S, Paterson A, McGregor R, Moreland NJ, Gell K, Priddy FH, Wiig K, Le Gros G, Ussher JE, Brewerton M. Robust immunogenicity of a third BNT162b2 vaccination against SARS-CoV-2 Omicron variant in a naïve New Zealand cohort. Vaccine 2023; 41:5535-5544. [PMID: 37516574 DOI: 10.1016/j.vaccine.2023.07.051] [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: 04/17/2023] [Revised: 07/20/2023] [Accepted: 07/24/2023] [Indexed: 07/31/2023]
Abstract
The ability of a third dose of the Pfizer-BioNTech BNT162b2 SARS-CoV-2 vaccine to stimulate immune responses against subvariants, including Omicron BA.1, has not been assessed in New Zealand populations. Unlike many overseas populations, New Zealanders were largely infection naïve at the time they were boosted. This adult cohort of 298 participants, oversampled for at-risk populations, was composed of 29% Māori and 28% Pacific peoples, with 40% of the population aged 55+. A significant proportion of the cohort was obese and presented with at least one comorbidity. Sera were collected 28 days and 6 months post second vaccination and 28 days post third vaccination. SARS-CoV-2 anti-S IgG titres and neutralising capacity using surrogate viral neutralisation assays against variants of concern, including Omicron BA.1, were investigated. The incidence of SARS-CoV-2 infection, within our cohort, prior to third vaccination was very low (<6%). This study found a third vaccine significantly increased the mean SARS-CoV-2 anti-S IgG titres, for every demographic subgroup, by a minimum of 1.5-fold compared to titres after two doses. Diabetic participants experienced a greater increase (∼4-fold) in antibody titres after their third vaccination, compared to non-diabetics (increase of ∼ 2-fold). This corrected for the deficiency in antibody titres within diabetic participants which was observed following two doses. A third dose also induced a neutralising response against Omicron variant BA.1, which was absent after two doses. This neutralising response improved regardless of age, BMI, ethnicity, or diabetes status. Participants aged ≥75 years consistently had the lowest SARS-CoV-2 anti-S IgG titres at each timepoint, however experienced the greatest improvement after three doses compared to younger participants. This study shows that in the absence of prior SARS-CoV-2 infection, a third Pfizer-BioNTech BNT162b2 vaccine enhances immunogenicity, including against Omicron BA.1, in a cohort representative of at-risk groups in the adult New Zealand population.
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Affiliation(s)
- Brittany Lavender
- Vaccine Alliance Aotearoa New Zealand and Malaghan Institute of Medical Research, PO Box 7060, Wellington 6242, New Zealand
| | - Caitlin Hooker
- Vaccine Alliance Aotearoa New Zealand and Malaghan Institute of Medical Research, PO Box 7060, Wellington 6242, New Zealand
| | - Chris Frampton
- University of Otago, 2 Riccarton Ave, Christchurch 8011, New Zealand
| | - Michael Williams
- Pacific Clinical Research Network, 1289 Haupapa St, Rotorua 3010, New Zealand
| | - Simon Carson
- Pacific Clinical Research Network, 1289 Haupapa St, Rotorua 3010, New Zealand
| | - Aimee Paterson
- School of Medical Sciences, The University of Auckland, 2 Park Rd, Grafton, Auckland 1023, New Zealand
| | - Reuben McGregor
- School of Medical Sciences, The University of Auckland, 2 Park Rd, Grafton, Auckland 1023, New Zealand
| | - Nicole J Moreland
- School of Medical Sciences, The University of Auckland, 2 Park Rd, Grafton, Auckland 1023, New Zealand
| | - Katie Gell
- Vaccine Alliance Aotearoa New Zealand and Malaghan Institute of Medical Research, PO Box 7060, Wellington 6242, New Zealand
| | | | - Kjesten Wiig
- Vaccine Alliance Aotearoa New Zealand and Malaghan Institute of Medical Research, PO Box 7060, Wellington 6242, New Zealand
| | - Graham Le Gros
- Vaccine Alliance Aotearoa New Zealand and Malaghan Institute of Medical Research, PO Box 7060, Wellington 6242, New Zealand
| | - James E Ussher
- Vaccine Alliance Aotearoa New Zealand and University of Otago, 362 Leith St, Dunedin 9016, New Zealand
| | - Maia Brewerton
- Vaccine Alliance Aotearoa New Zealand and Malaghan Institute of Medical Research, PO Box 7060, Wellington 6242, New Zealand; Department of Clinical Immunology & Allergy, Auckland City Hospital, 2 Park Rd, Grafton, Auckland 1023, New Zealand.
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9
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Barrios MH, Nicholson S, Bull RA, Martinello M, Rawlinson W, Mina M, Post JJ, Hudson B, Gilroy N, Lloyd AR, Konecny P, Mordant F, Catton M, Subbarao K, Caly L, Druce J, Netter HJ. Comparative Longitudinal Serological Study of Anti-SARS-CoV-2 Antibody Profiles in People with COVID-19. Microorganisms 2023; 11:1985. [PMID: 37630545 PMCID: PMC10458948 DOI: 10.3390/microorganisms11081985] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2023] [Revised: 07/10/2023] [Accepted: 07/21/2023] [Indexed: 08/27/2023] Open
Abstract
Serological diagnostic assays are essential tools for determining an individual's protection against viruses like SARS-CoV-2, tracking the spread of the virus in the community, and evaluating population immunity. To assess the diversity and quality of the anti-SARS-CoV-2 antibody response, we have compared the antibody profiles of people with mild, moderate, and severe COVID-19 using a dot blot assay. The test targeted the four major structural proteins of SARS-CoV-2, namely the nucleocapsid (N), spike (S) protein domains S1 and S2, and receptor-binding domain (RBD). Serum samples were collected from 63 participants at various time points for up to 300 days after disease onset. The dot blot assay revealed patient-specific differences in the anti-SARS-CoV-2 antibody profiles. Out of the 63 participants with confirmed SARS-CoV-2 infections and clinical COVID-19, 35/63 participants exhibited diverse and robust responses against the tested antigens, while 14/63 participants displayed either limited responses to a subset of antigens or no detectable antibody response to any of the antigens. Anti-N-specific antibody levels decreased within 300 days after disease onset, whereas anti-S-specific antibodies persisted. The dynamics of the antibody response did not change during the test period, indicating stable antibody profiles. Among the participants, 28/63 patients with restricted anti-S antibody profiles or undetectable anti-S antibody levels in the dot blot assay also exhibited weak neutralization activity, as measured by a surrogate virus neutralization test (sVNT) and a microneutralization test. These results indicate that in some cases, natural infections do not lead to the production of neutralizing antibodies. Furthermore, the study revealed significant serological variability among patients, regardless of the severity of their COVID-19 illness. These differences need to be carefully considered when evaluating the protective antibody status of individuals who have experienced primary SARS-CoV-2 infections.
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Affiliation(s)
- Marilou H. Barrios
- Victorian Infectious Diseases Reference Laboratory (VIDRL), The Royal Melbourne Hospital, Melbourne, VIC 3000, Australia; (M.H.B.); (S.N.); (M.C.); (L.C.); (J.D.)
- Peter Doherty Institute, University of Melbourne, Melbourne, VIC 3000, Australia; (F.M.); (K.S.)
| | - Suellen Nicholson
- Victorian Infectious Diseases Reference Laboratory (VIDRL), The Royal Melbourne Hospital, Melbourne, VIC 3000, Australia; (M.H.B.); (S.N.); (M.C.); (L.C.); (J.D.)
- Peter Doherty Institute, University of Melbourne, Melbourne, VIC 3000, Australia; (F.M.); (K.S.)
| | - Rowena A. Bull
- The Kirby Institute, University of New South Wales (UNSW), Sydney, NSW 2052, Australia; (R.A.B.); (M.M.); (A.R.L.)
- School of Biomedical Sciences, Faculty of Medicine and Health, University of New South Wales (UNSW), Sydney, NSW 2052, Australia;
| | - Marianne Martinello
- The Kirby Institute, University of New South Wales (UNSW), Sydney, NSW 2052, Australia; (R.A.B.); (M.M.); (A.R.L.)
| | - William Rawlinson
- School of Biomedical Sciences, Faculty of Medicine and Health, University of New South Wales (UNSW), Sydney, NSW 2052, Australia;
- Serology and Virology Division, Department of Microbiology, New South Wales Health Pathology, Randwick, Sydney, NSW 2031, Australia
- Prince of Wales Hospital, Sydney, NSW 2031, Australia;
| | - Michael Mina
- Northern Beaches Hospital, Frenchs Forest, NSW 2086, Australia;
| | - Jeffrey J. Post
- Prince of Wales Hospital, Sydney, NSW 2031, Australia;
- School of Clinical Medicine, University of New South Wales (UNSW), Sydney, NSW 2052, Australia;
| | - Bernard Hudson
- Royal North Shore Hospital, Sydney, NSW 2065, Australia;
| | | | - Andrew R. Lloyd
- The Kirby Institute, University of New South Wales (UNSW), Sydney, NSW 2052, Australia; (R.A.B.); (M.M.); (A.R.L.)
| | - Pamela Konecny
- School of Clinical Medicine, University of New South Wales (UNSW), Sydney, NSW 2052, Australia;
- St. George Hospital, Sydney, NSW 2217, Australia
| | - Francesca Mordant
- Peter Doherty Institute, University of Melbourne, Melbourne, VIC 3000, Australia; (F.M.); (K.S.)
- Department of Microbiology and Immunology, University of Melbourne, Melbourne, VIC 3000, Australia
| | - Mike Catton
- Victorian Infectious Diseases Reference Laboratory (VIDRL), The Royal Melbourne Hospital, Melbourne, VIC 3000, Australia; (M.H.B.); (S.N.); (M.C.); (L.C.); (J.D.)
- Peter Doherty Institute, University of Melbourne, Melbourne, VIC 3000, Australia; (F.M.); (K.S.)
| | - Kanta Subbarao
- Peter Doherty Institute, University of Melbourne, Melbourne, VIC 3000, Australia; (F.M.); (K.S.)
- Department of Microbiology and Immunology, University of Melbourne, Melbourne, VIC 3000, Australia
- World Health Organization Collaborating Centre for Reference and Research on Influenza at the Peter Doherty Institute, Melbourne, VIC 3000, Australia
| | - Leon Caly
- Victorian Infectious Diseases Reference Laboratory (VIDRL), The Royal Melbourne Hospital, Melbourne, VIC 3000, Australia; (M.H.B.); (S.N.); (M.C.); (L.C.); (J.D.)
- Peter Doherty Institute, University of Melbourne, Melbourne, VIC 3000, Australia; (F.M.); (K.S.)
| | - Julian Druce
- Victorian Infectious Diseases Reference Laboratory (VIDRL), The Royal Melbourne Hospital, Melbourne, VIC 3000, Australia; (M.H.B.); (S.N.); (M.C.); (L.C.); (J.D.)
- Peter Doherty Institute, University of Melbourne, Melbourne, VIC 3000, Australia; (F.M.); (K.S.)
| | - Hans J. Netter
- Victorian Infectious Diseases Reference Laboratory (VIDRL), The Royal Melbourne Hospital, Melbourne, VIC 3000, Australia; (M.H.B.); (S.N.); (M.C.); (L.C.); (J.D.)
- Peter Doherty Institute, University of Melbourne, Melbourne, VIC 3000, Australia; (F.M.); (K.S.)
- School of Science, Royal Melbourne Institute of Technology (RMIT) University, Melbourne, VIC 3001, Australia
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10
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Bansal A, Trieu MC, Mohn KGI, Madsen A, Olofsson JS, Sandnes HH, Sævik M, Søyland H, Hansen L, Onyango TB, Tøndel C, Brokstad KA, Syre H, Riis ÅG, Langeland N, Cox RJ. Risk assessment and antibody responses to SARS-CoV-2 in healthcare workers. Front Public Health 2023; 11:1164326. [PMID: 37546332 PMCID: PMC10402899 DOI: 10.3389/fpubh.2023.1164326] [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: 02/12/2023] [Accepted: 06/22/2023] [Indexed: 08/08/2023] Open
Abstract
Background Preventing infection in healthcare workers (HCWs) is crucial for protecting healthcare systems during the COVID-19 pandemic. Here, we investigated the seroepidemiology of SARS-CoV-2 in HCWs in Norway with low-transmission settings. Methods From March 2020, we recruited HCWs at four medical centres. We determined infection by SARS-CoV-2 RT-PCR and serological testing and evaluated the association between infection and exposure variables, comparing our findings with global data in a meta-analysis. Anti-spike IgG antibodies were measured after infection and/or vaccination in a longitudinal cohort until June 2021. Results We identified a prevalence of 10.5% (95% confidence interval, CI: 8.8-12.3) in 2020 and an incidence rate of 15.0 cases per 100 person-years (95% CI: 12.5-17.8) among 1,214 HCWs with 848 person-years of follow-up time. Following infection, HCWs (n = 63) mounted durable anti-spike IgG antibodies with a half-life of 4.3 months since their seropositivity. HCWs infected with SARS-CoV-2 in 2020 (n = 46) had higher anti-spike IgG titres than naive HCWs (n = 186) throughout the 5 months after vaccination with BNT162b2 and/or ChAdOx1-S COVID-19 vaccines in 2021. In a meta-analysis including 20 studies, the odds ratio (OR) for SARS-CoV-2 seropositivity was significantly higher with household contact (OR 12.6; 95% CI: 4.5-35.1) and occupational exposure (OR 2.2; 95% CI: 1.4-3.2). Conclusion We found high and modest risks of SARS-CoV-2 infection with household and occupational exposure, respectively, in HCWs, suggesting the need to strengthen infection prevention strategies within households and medical centres. Infection generated long-lasting antibodies in most HCWs; therefore, we support delaying COVID-19 vaccination in primed HCWs, prioritising the non-infected high-risk HCWs amid vaccine shortage.
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Affiliation(s)
- Amit Bansal
- Department of Clinical Science, Influenza Centre, University of Bergen, Bergen, Norway
| | - Mai-Chi Trieu
- Department of Clinical Science, Influenza Centre, University of Bergen, Bergen, Norway
| | - Kristin G. I. Mohn
- Department of Clinical Science, Influenza Centre, University of Bergen, Bergen, Norway
- Department of Medicine, Haukeland University Hospital, Bergen, Norway
| | - Anders Madsen
- Department of Clinical Science, Influenza Centre, University of Bergen, Bergen, Norway
| | - Jan Stefan Olofsson
- Department of Clinical Science, Influenza Centre, University of Bergen, Bergen, Norway
| | | | - Marianne Sævik
- Department of Medicine, Haukeland University Hospital, Bergen, Norway
| | - Hanne Søyland
- Department of Medicine, Haukeland University Hospital, Bergen, Norway
| | - Lena Hansen
- Department of Clinical Science, Influenza Centre, University of Bergen, Bergen, Norway
| | | | - Camilla Tøndel
- Department of Clinical Science, Influenza Centre, University of Bergen, Bergen, Norway
- Department of Paediatrics, Haukeland University Hospital, Bergen, Norway
| | - Karl Albert Brokstad
- Department of Clinical Science, Influenza Centre, University of Bergen, Bergen, Norway
- Department of Safety, Chemistry and Biomedical Laboratory Sciences, Western Norway University of Applied Sciences, Bergen, Norway
| | | | - Heidi Syre
- Department of Medical Microbiology, Stavanger University Hospital, Stavanger, Norway
| | - Åse Garløv Riis
- Department of Medicine, Stavanger University Hospital, Stavanger, Norway
| | - Nina Langeland
- Department of Medicine, Haukeland University Hospital, Bergen, Norway
- Department of Clinical Science, University of Bergen, Bergen, Norway
| | - Rebecca Jane Cox
- Department of Clinical Science, Influenza Centre, University of Bergen, Bergen, Norway
- Department of Microbiology, Haukeland University Hospital, Bergen, Norway
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11
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Williams DM, Hornsby HR, Shehata OM, Brown R, Gallis M, Meardon N, Newman TAH, Plowright M, Zafred D, Shun-Shion ASM, Hodder AJ, Bliss D, Metcalfe A, Edgar JR, Gordon DE, Sayers JR, Nicklin MJ, Carroll M, Collini PJ, Brown S, de Silva TI, Peden AA. Establishing SARS-CoV-2 membrane protein-specific antibodies as a valuable serological target via high-content microscopy. iScience 2023; 26:107056. [PMID: 37346049 PMCID: PMC10246304 DOI: 10.1016/j.isci.2023.107056] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2022] [Revised: 03/31/2023] [Accepted: 06/01/2023] [Indexed: 06/23/2023] Open
Abstract
The prevalence and strength of serological responses mounted toward SARS-CoV-2 proteins other than nucleocapsid (N) and spike (S), which may be of use as additional serological markers, remains underexplored. Using high-content microscopy to assess antibody responses against full-length StrepTagged SARS-CoV-2 proteins, we found that 85% (166/196) of unvaccinated individuals with RT-PCR confirmed SARS-CoV-2 infections and 74% (31/42) of individuals infected after being vaccinated developed detectable IgG against the structural protein M, which is higher than previous estimates. Compared with N antibodies, M IgG displayed a shallower time-dependent decay and greater specificity. Sensitivity for SARS-CoV-2 seroprevalence was enhanced when N and M IgG detection was combined. These findings indicate that screening for M seroconversion may be a good approach for detecting additional vaccine breakthrough infections and highlight the potential to use HCM as a rapidly deployable method to identify the most immunogenic targets of newly emergent pathogens.
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Affiliation(s)
- Daniel M Williams
- School of Bioscience, University of Sheffield, Western Bank, Sheffield S10 2TN, UK
| | - Hailey R Hornsby
- Department of Infection, Immunity and Cardiovascular Diseases, University of Sheffield Medical School, Beech Hill Road, Sheffield S10 2RX, UK
| | - Ola M Shehata
- School of Bioscience, University of Sheffield, Western Bank, Sheffield S10 2TN, UK
| | - Rebecca Brown
- Department of Infection, Immunity and Cardiovascular Diseases, University of Sheffield Medical School, Beech Hill Road, Sheffield S10 2RX, UK
| | - Marta Gallis
- Department of Infection, Immunity and Cardiovascular Diseases, University of Sheffield Medical School, Beech Hill Road, Sheffield S10 2RX, UK
| | - Naomi Meardon
- Department of Infection, Immunity and Cardiovascular Diseases, University of Sheffield Medical School, Beech Hill Road, Sheffield S10 2RX, UK
- South Yorkshire Regional Department of Infection and Tropical Medicine, Sheffield Teaching Hospitals NHS Foundation Trust, Glossop Road, Sheffield S10 2JF, UK
| | - Thomas A H Newman
- Department of Infection, Immunity and Cardiovascular Diseases, University of Sheffield Medical School, Beech Hill Road, Sheffield S10 2RX, UK
- South Yorkshire Regional Department of Infection and Tropical Medicine, Sheffield Teaching Hospitals NHS Foundation Trust, Glossop Road, Sheffield S10 2JF, UK
| | - Megan Plowright
- Department of Infection, Immunity and Cardiovascular Diseases, University of Sheffield Medical School, Beech Hill Road, Sheffield S10 2RX, UK
- South Yorkshire Regional Department of Infection and Tropical Medicine, Sheffield Teaching Hospitals NHS Foundation Trust, Glossop Road, Sheffield S10 2JF, UK
| | - Domen Zafred
- Department of Infection, Immunity and Cardiovascular Diseases, University of Sheffield Medical School, Beech Hill Road, Sheffield S10 2RX, UK
| | - Amber S M Shun-Shion
- School of Bioscience, University of Sheffield, Western Bank, Sheffield S10 2TN, UK
| | - Anthony J Hodder
- School of Bioscience, University of Sheffield, Western Bank, Sheffield S10 2TN, UK
| | - Deepa Bliss
- School of Bioscience, University of Sheffield, Western Bank, Sheffield S10 2TN, UK
| | - Andrew Metcalfe
- School of Bioscience, University of Sheffield, Western Bank, Sheffield S10 2TN, UK
| | - James R Edgar
- Department of Pathology, University of Cambridge, Cambridge CB2 1QP, UK
| | - David E Gordon
- Department of Pathology, Emory University, Whitehead Building, Atlanta, GA, USA
| | - Jon R Sayers
- Department of Infection, Immunity and Cardiovascular Diseases, University of Sheffield Medical School, Beech Hill Road, Sheffield S10 2RX, UK
| | - Martin J Nicklin
- Department of Infection, Immunity and Cardiovascular Diseases, University of Sheffield Medical School, Beech Hill Road, Sheffield S10 2RX, UK
| | - Miles Carroll
- Wellcome Centre for Human Genetics, Nuffield Department of Medicine, University of Oxford, Oxford OX3 7BN, UK
| | - Paul J Collini
- Department of Infection, Immunity and Cardiovascular Diseases, University of Sheffield Medical School, Beech Hill Road, Sheffield S10 2RX, UK
- South Yorkshire Regional Department of Infection and Tropical Medicine, Sheffield Teaching Hospitals NHS Foundation Trust, Glossop Road, Sheffield S10 2JF, UK
| | - Stephen Brown
- School of Bioscience, University of Sheffield, Western Bank, Sheffield S10 2TN, UK
| | - Thushan I de Silva
- Department of Infection, Immunity and Cardiovascular Diseases, University of Sheffield Medical School, Beech Hill Road, Sheffield S10 2RX, UK
- South Yorkshire Regional Department of Infection and Tropical Medicine, Sheffield Teaching Hospitals NHS Foundation Trust, Glossop Road, Sheffield S10 2JF, UK
| | - Andrew A Peden
- School of Bioscience, University of Sheffield, Western Bank, Sheffield S10 2TN, UK
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12
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Cortés-Sarabia K, Palomares-Monterrubio KH, Velázquez-Moreno JO, Luna-Pineda VM, Leyva-Vázquez MA, Vences-Velázquez A, Dircio-Maldonado R, Del Moral-Hernández O, Illades-Aguiar B. Seroprevalence of IgG and Subclasses against the Nucleocapsid of SARS-CoV-2 in Health Workers. Viruses 2023; 15:v15040955. [PMID: 37112935 PMCID: PMC10141201 DOI: 10.3390/v15040955] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2023] [Revised: 03/28/2023] [Accepted: 04/03/2023] [Indexed: 04/29/2023] Open
Abstract
BACKGROUND The nucleocapsid protein of SARS-CoV-2 participates in viral replication, transcription, and assembly. Antibodies against this protein have been proposed for the epidemiological analysis of the seroprevalence of COVID-19 associated with natural infection by SARS-CoV-2. Health workers were one of the most exposed populations, and some had an asymptomatic form of the disease, so detecting IgG antibodies and subclasses against the N protein can help to reclassify their epidemiological status and obtain information about the effector mechanisms associated with viral elimination. METHODS In this study, we analyzed 253 serum samples collected in 2021 and derived from health workers, and evaluated the presence of total IgG and subclasses against the N protein of SARS-CoV-2 by indirect ELISA. RESULTS From the analyzed samples, 42.69% were positive to anti-N IgG antibodies. A correlation between COVID-19 asymptomatic infection and IgG antibodies was observed (p = 0.006). The detected subclasses were: IgG1 (82.4%), IgG2 (75.9%), IgG3 (42.6%), and IgG4 (72.6%). CONCLUSIONS This work provides evidence about the high seroprevalence of total IgG and subclasses of anti-N and their relations with the asymptomatic infection of SARS-CoV-2 and related symptoms.
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Affiliation(s)
- Karen Cortés-Sarabia
- Laboratorio de Inmunobiología y Diagnóstico Molecular, Facultad de Ciencias Químico Biológicas, Universidad Autónoma de Guerrero, Chilpancingo de los Bravo 39086, Mexico
| | - Kenet Hisraim Palomares-Monterrubio
- Laboratorio de Inmunobiología y Diagnóstico Molecular, Facultad de Ciencias Químico Biológicas, Universidad Autónoma de Guerrero, Chilpancingo de los Bravo 39086, Mexico
| | - Jesús Omar Velázquez-Moreno
- Laboratorio de Inmunobiología y Diagnóstico Molecular, Facultad de Ciencias Químico Biológicas, Universidad Autónoma de Guerrero, Chilpancingo de los Bravo 39086, Mexico
| | - Víctor Manuel Luna-Pineda
- Unidad de Investigación en Inmunología y Proteómica, Laboratorio de Investigación en COVID-19, Hospital Infantil de México "Federico Gómez", Mexico City 06720, Mexico
| | - Marco Antonio Leyva-Vázquez
- Laboratorio de Biomedicina Molecular, Facultad de Ciencias Químico Biológicas, Universidad Autónoma de Guerrero, Chilpancingo de los Bravo 39086, Mexico
| | - Amalia Vences-Velázquez
- Laboratorio de Inmunobiología y Diagnóstico Molecular, Facultad de Ciencias Químico Biológicas, Universidad Autónoma de Guerrero, Chilpancingo de los Bravo 39086, Mexico
| | - Roberto Dircio-Maldonado
- Laboratorio de Biomedicina Molecular, Facultad de Ciencias Químico Biológicas, Universidad Autónoma de Guerrero, Chilpancingo de los Bravo 39086, Mexico
| | - Oscar Del Moral-Hernández
- Laboratorio de Virología, Facultad de Ciencias Químico Biológicas, Universidad Autónoma de Guerrero, Chilpancingo de los Bravo 39086, Mexico
| | - Berenice Illades-Aguiar
- Unidad de Investigación en Inmunología y Proteómica, Laboratorio de Investigación en COVID-19, Hospital Infantil de México "Federico Gómez", Mexico City 06720, Mexico
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13
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Pezzati L, Milazzo L, Carrozzo G, Kullmann C, Oreni L, Beltrami M, Caronni S, Lai A, Caberlotto L, Ottomano C, Antinori S, Ridolfo AL. Evaluation of residual humoral immune response against SARS-CoV-2 by a surrogate virus neutralization test (sVNT) 9 months after BNT162b2 primary vaccination. J Infect Chemother 2023; 29:624-627. [PMID: 36914095 PMCID: PMC10008091 DOI: 10.1016/j.jiac.2023.03.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2022] [Revised: 02/12/2023] [Accepted: 03/04/2023] [Indexed: 03/13/2023]
Abstract
The humoral response to SARS-CoV-2 vaccination has shown to be temporary, although may be more prolonged in vaccinated individuals with a history of natural infection. We aimed to study the residual humoral response and the correlation between anti-Receptor Binding Domain (RBD) IgG levels and antibody neutralizing capacity in a population of health care workers (HCWs) after 9 months from COVID-19 vaccination. In this cross-sectional study, plasma samples were screened for anti-RBD IgG using a quantitative method. The neutralizing capacity for each sample was estimated by means of a surrogate virus neutralizing test (sVNT) and results expressed as the percentage of inhibition (%IH) of the interaction between RBD and the angiotensin-converting enzyme. Samples of 274 HCWs (227 SARS-CoV-2 naïve and 47 SARS-CoV-2 experienced) were tested. The median level of anti-RBD IgG was significantly higher in SARS-CoV-2 experienced than in naïve HCWs: 2673.2 AU/mL versus 610.9 AU/mL, respectively (p <0.001). Samples of SARS-CoV-2 experienced subjects also showed higher neutralizing capacity as compared to naïve subjects: median %IH = 81.20% versus 38.55%, respectively; p <0.001. A quantitative correlation between anti-RBD Ab and inhibition activity levels was observed (Spearman's rho = 0.89, p <0.001): the optimal cut-off correlating with high neutralization was estimated to be 1236.1 AU/mL (sensitivity 96.8%, specificity 91.9%; AUC 0.979). Anti-SARS-CoV-2 hybrid immunity elicited by a combination of vaccination and infection confers higher anti-RBD IgG levels and higher neutralizing capacity than vaccination alone, likely providing better protection against COVID-19.
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Affiliation(s)
- Laura Pezzati
- Department of Infectious Diseases, ASST Fatebenefratelli Sacco, Via Giovanni Battista Grassi 74, 20157, Milan, Italy; Luigi Sacco Department of Biomedical and Clinical Sciences, University of Milan, Via Festa del Perdono 7, 20122, Milan, Italy.
| | - Laura Milazzo
- Department of Infectious Diseases, ASST Fatebenefratelli Sacco, Via Giovanni Battista Grassi 74, 20157, Milan, Italy
| | - Giorgia Carrozzo
- Department of Infectious Diseases, ASST Fatebenefratelli Sacco, Via Giovanni Battista Grassi 74, 20157, Milan, Italy; Luigi Sacco Department of Biomedical and Clinical Sciences, University of Milan, Via Festa del Perdono 7, 20122, Milan, Italy
| | | | - Letizia Oreni
- Department of Infectious Diseases, ASST Fatebenefratelli Sacco, Via Giovanni Battista Grassi 74, 20157, Milan, Italy
| | - Martina Beltrami
- Department of Infectious Diseases, ASST Fatebenefratelli Sacco, Via Giovanni Battista Grassi 74, 20157, Milan, Italy; Luigi Sacco Department of Biomedical and Clinical Sciences, University of Milan, Via Festa del Perdono 7, 20122, Milan, Italy
| | - Stefania Caronni
- Department of Infectious Diseases, ASST Fatebenefratelli Sacco, Via Giovanni Battista Grassi 74, 20157, Milan, Italy; Luigi Sacco Department of Biomedical and Clinical Sciences, University of Milan, Via Festa del Perdono 7, 20122, Milan, Italy
| | - Alessia Lai
- Luigi Sacco Department of Biomedical and Clinical Sciences, University of Milan, Via Festa del Perdono 7, 20122, Milan, Italy
| | - Livio Caberlotto
- Synlab Data Medica Padova, Via Antonio Zanchi 89, 35133, Padova, Italy
| | - Cosimo Ottomano
- Synlab Italia, Via Martiri delle Foibe 1, 20900, Monza, Italy
| | - Spinello Antinori
- Department of Infectious Diseases, ASST Fatebenefratelli Sacco, Via Giovanni Battista Grassi 74, 20157, Milan, Italy; Luigi Sacco Department of Biomedical and Clinical Sciences, University of Milan, Via Festa del Perdono 7, 20122, Milan, Italy
| | - Anna Lisa Ridolfo
- Department of Infectious Diseases, ASST Fatebenefratelli Sacco, Via Giovanni Battista Grassi 74, 20157, Milan, Italy
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14
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Germain M, Lewin A, Bazin R, Dieudé M, Perreault J, Boivin A, Grégoire Y, Renaud C. Cohort profile: A Québec-based plasma donor biobank to study COVID-19 immunity (PlasCoV). BMJ Open 2023; 13:e068803. [PMID: 36822809 PMCID: PMC9950588 DOI: 10.1136/bmjopen-2022-068803] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/25/2023] Open
Abstract
PURPOSE The long-term humoral immunity to COVID-19 is not well understood owing to the continuous emergence of new variants of concern, the evolving vaccine-induced and infection-induced immunity, and the limited duration of follow-up in previous studies. As the sole blood service in Québec (Canada), Héma-Québec established a COVID-19-focused biobank ('PlasCoV') in April 2021. PARTICIPANTS As of January 2022, the biobank included 86 483 plasma samples from 15 502 regular donors (age range=18-84 years, females=49.7%), for an average of 5.6 donations per donor. Nearly two-thirds (65.6%) of biobank donors made at least two donations, with many donors having provided samples prevaccination and postvaccination (3061 (19.7%)) or preinfection and postinfection (131 (0.8%)), thus allowing for longitudinal studies on vaccine-induced and infection-induced immunity. FINDINGS TO DATE A study that used PlasCoV samples revealed that previously infected individuals who received a single dose of the BNT162b2 COVID-19 vaccine exhibited the strongest immune response. By contrast, SARS-CoV-2-naïve individuals required two vaccine doses to produce a maximal immune response. Furthermore, the results of a four-phase seroprevalence study indicated that the antinucleocapsid (N) response wanes rapidly, so that up to one-third of previously infected donors were seronegative for anti-N. FUTURE PLANS Donations from individuals who consented to participate before 1 October 2022 will be collected up until 31 March 2023. This plasma biobank will facilitate the conduct of longitudinal studies on COVID-19 immunity, thus helping to provide valuable insights into the anti-SARS-CoV-2 immune response and its persistence, and the effects of vaccination and variants on the specificity of the anti-SARS-CoV-2 immune response.
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Affiliation(s)
- Marc Germain
- Medical Affairs and Innovation, Héma-Québec, Québec, Montreal and Québec, Canada
| | - Antoine Lewin
- Medical Affairs and Innovation, Héma-Québec, Québec, Montreal and Québec, Canada
| | - Renée Bazin
- Medical Affairs and Innovation, Héma-Québec, Québec, Montreal and Québec, Canada
| | - Mélanie Dieudé
- Medical Affairs and Innovation, Héma-Québec, Québec, Montreal and Québec, Canada
| | - Josée Perreault
- Medical Affairs and Innovation, Héma-Québec, Québec, Montreal and Québec, Canada
| | - Amélie Boivin
- Medical Affairs and Innovation, Héma-Québec, Québec, Montreal and Québec, Canada
| | - Yves Grégoire
- Medical Affairs and Innovation, Héma-Québec, Québec, Montreal and Québec, Canada
| | - Christian Renaud
- Medical Affairs and Innovation, Héma-Québec, Québec, Montreal and Québec, Canada
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15
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Poehler E, Gibson L, Lustig A, Moreland NJ, McGregor R, James A. Estimating decay curves of neutralizing antibodies to SARS-CoV-2 infection. MATHEMATICAL MEDICINE AND BIOLOGY : A JOURNAL OF THE IMA 2022; 39:368-381. [PMID: 35759280 DOI: 10.1093/imammb/dqac008] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/05/2021] [Revised: 03/31/2022] [Accepted: 06/06/2022] [Indexed: 01/01/2023]
Abstract
Estimating the longevity of an individual's immune response to the SARS-Cov-2 virus is vital for future planning, particularly of vaccine requirements. Neutralizing antibodies (Nabs) are increasingly being recognized as a correlate of protection and while there are many studies that follow the response of a cohort of people, each study alone is not enough to predict the long-term response. Studies use different assays to measure Nabs, making them hard to combine. We present a modelling method that can combine multiple datasets and can be updated as more detailed data becomes available. Combining data from seven published datasets we predict that the NAb decay has two phases, an initial fast but short-lived decay period followed by a longer term and slower decay period.
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Affiliation(s)
- Elliot Poehler
- School of Mathematics and Statistics, University of Canterbury, Christchurch, New Zealand
| | - Liam Gibson
- School of Mathematics and Statistics, University of Canterbury, Christchurch, New Zealand
| | - Audrey Lustig
- Te Pūnaha Matatini: the Centre for Complex Systems and Networks, Auckland, New Zealand.,Manaaki Whenua, Lincoln, New Zealand
| | - Nicole J Moreland
- School of Medical Sciences, The University of Auckland, Auckland, New Zealand.,Maurice Wilkins Centre for Biodiscovery, The University of Auckland, Auckland, New Zealand
| | - Reuben McGregor
- School of Medical Sciences, The University of Auckland, Auckland, New Zealand.,Maurice Wilkins Centre for Biodiscovery, The University of Auckland, Auckland, New Zealand
| | - Alex James
- School of Mathematics and Statistics, University of Canterbury, Christchurch, New Zealand.,Te Pūnaha Matatini: the Centre for Complex Systems and Networks, Auckland, New Zealand
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16
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Neuhauser H, Rosario AS, Butschalowsky H, Haller S, Hoebel J, Michel J, Nitsche A, Poethko-Müller C, Prütz F, Schlaud M, Steinhauer HW, Wilking H, Wieler LH, Schaade L, Liebig S, Gößwald A, Grabka MM, Zinn S, Ziese T. Nationally representative results on SARS-CoV-2 seroprevalence and testing in Germany at the end of 2020. Sci Rep 2022; 12:19492. [PMID: 36376417 PMCID: PMC9662125 DOI: 10.1038/s41598-022-23821-6] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2021] [Accepted: 11/07/2022] [Indexed: 11/16/2022] Open
Abstract
Pre-vaccine SARS-CoV-2 seroprevalence data from Germany are scarce outside hotspots, and socioeconomic disparities remained largely unexplored. The nationwide representative RKI-SOEP study (15,122 participants, 18-99 years, 54% women) investigated seroprevalence and testing in a supplementary wave of the Socio-Economic-Panel conducted predominantly in October-November 2020. Self-collected oral-nasal swabs were PCR-positive in 0.4% and Euroimmun anti-SARS-CoV-2-S1-IgG ELISA from dry-capillary-blood antibody-positive in 1.3% (95% CI 0.9-1.7%, population-weighted, corrected for sensitivity = 0.811, specificity = 0.997). Seroprevalence was 1.7% (95% CI 1.2-2.3%) when additionally correcting for antibody decay. Overall infection prevalence including self-reports was 2.1%. We estimate 45% (95% CI 21-60%) undetected cases and lower detection in socioeconomically deprived districts. Prior SARS-CoV-2 testing was reported by 18% from the lower educational group vs. 25% and 26% from the medium and high educational group (p < 0.001, global test over three categories). Symptom-triggered test frequency was similar across educational groups. Routine testing was more common in low-educated adults, whereas travel-related testing and testing after contact with infected persons was more common in highly educated groups. This countrywide very low pre-vaccine seroprevalence in Germany at the end of 2020 can serve to evaluate the containment strategy. Our findings on social disparities indicate improvement potential in pandemic planning for people in socially disadvantaged circumstances.
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Affiliation(s)
- Hannelore Neuhauser
- Robert Koch Institute, Berlin, Germany.
- Department of Epidemiology and Health Monitoring, Robert Koch Institute, General-Pape-Str. 62-66, 12101, Berlin, Germany.
| | | | | | | | | | | | | | | | | | | | - Hans W Steinhauer
- Socio-Economic Panel, German Institute for Economic Research, Berlin, Germany
| | | | | | | | - Stefan Liebig
- Socio-Economic Panel, German Institute for Economic Research, Berlin, Germany
- SOEP & Department of Political and Social Sciences, Free University, Berlin, Germany
| | | | - Markus M Grabka
- Socio-Economic Panel, German Institute for Economic Research, Berlin, Germany
| | - Sabine Zinn
- Socio-Economic Panel, German Institute for Economic Research, Berlin, Germany
- SOEP & Department of Social Sciences, Humboldt University, Berlin, Germany
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17
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Halliday A, Long AE, Baum HE, Thomas AC, Shelley KL, Oliver E, Gupta K, Francis O, Williamson MK, Di Bartolo N, Randell MJ, Ben-Khoud Y, Kelland I, Mortimer G, Ball O, Plumptre C, Chandler K, Obst U, Secchi M, Piemonti L, Lampasona V, Smith J, Gregorova M, Knezevic L, Metz J, Barr R, Morales-Aza B, Oliver J, Collingwood L, Hitchings B, Ring S, Wooldridge L, Rivino L, Timpson N, McKernon J, Muir P, Hamilton F, Arnold D, Woolfson DN, Goenka A, Davidson AD, Toye AM, Berger I, Bailey M, Gillespie KM, Williams AJK, Finn A. Development and evaluation of low-volume tests to detect and characterize antibodies to SARS-CoV-2. Front Immunol 2022; 13:968317. [PMID: 36439154 PMCID: PMC9682908 DOI: 10.3389/fimmu.2022.968317] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2022] [Accepted: 08/30/2022] [Indexed: 11/11/2022] Open
Abstract
Low-volume antibody assays can be used to track SARS-CoV-2 infection rates in settings where active testing for virus is limited and remote sampling is optimal. We developed 12 ELISAs detecting total or antibody isotypes to SARS-CoV-2 nucleocapsid, spike protein or its receptor binding domain (RBD), 3 anti-RBD isotype specific luciferase immunoprecipitation system (LIPS) assays and a novel Spike-RBD bridging LIPS total-antibody assay. We utilized pre-pandemic (n=984) and confirmed/suspected recent COVID-19 sera taken pre-vaccination rollout in 2020 (n=269). Assays measuring total antibody discriminated best between pre-pandemic and COVID-19 sera and were selected for diagnostic evaluation. In the blind evaluation, two of these assays (Spike Pan ELISA and Spike-RBD Bridging LIPS assay) demonstrated >97% specificity and >92% sensitivity for samples from COVID-19 patients taken >21 days post symptom onset or PCR test. These assays offered better sensitivity for the detection of COVID-19 cases than a commercial assay which requires 100-fold larger serum volumes. This study demonstrates that low-volume in-house antibody assays can provide good diagnostic performance, and highlights the importance of using well-characterized samples and controls for all stages of assay development and evaluation. These cost-effective assays may be particularly useful for seroprevalence studies in low and middle-income countries.
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Affiliation(s)
- Alice Halliday
- School of Cellular and Molecular Medicine, University of Bristol, Bristol, United Kingdom
| | - Anna E. Long
- Diabetes and Metabolism, Bristol Medical School, University of Bristol, Bristol, United Kingdom
| | - Holly E. Baum
- School of Cellular and Molecular Medicine, University of Bristol, Bristol, United Kingdom
- School of Chemistry, University of Bristol, Bristol, United Kingdom
| | - Amy C. Thomas
- Bristol Veterinary School, University of Bristol, Bristol, United Kingdom
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom
| | - Kathryn L. Shelley
- School of Chemistry, University of Bristol, Bristol, United Kingdom
- School of Biochemistry, Biomedical Sciences Building, University Walk, University of Bristol, Bristol, United Kingdom
| | - Elizabeth Oliver
- School of Cellular and Molecular Medicine, University of Bristol, Bristol, United Kingdom
| | - Kapil Gupta
- School of Biochemistry, Biomedical Sciences Building, University Walk, University of Bristol, Bristol, United Kingdom
| | - Ore Francis
- Bristol Veterinary School, University of Bristol, Bristol, United Kingdom
| | | | - Natalie Di Bartolo
- School of Biochemistry, Biomedical Sciences Building, University Walk, University of Bristol, Bristol, United Kingdom
| | - Matthew J. Randell
- Diabetes and Metabolism, Bristol Medical School, University of Bristol, Bristol, United Kingdom
| | - Yassin Ben-Khoud
- Diabetes and Metabolism, Bristol Medical School, University of Bristol, Bristol, United Kingdom
| | - Ilana Kelland
- Diabetes and Metabolism, Bristol Medical School, University of Bristol, Bristol, United Kingdom
| | - Georgina Mortimer
- Diabetes and Metabolism, Bristol Medical School, University of Bristol, Bristol, United Kingdom
| | - Olivia Ball
- Diabetes and Metabolism, Bristol Medical School, University of Bristol, Bristol, United Kingdom
| | - Charlie Plumptre
- School of Cellular and Molecular Medicine, University of Bristol, Bristol, United Kingdom
| | - Kyla Chandler
- Diabetes and Metabolism, Bristol Medical School, University of Bristol, Bristol, United Kingdom
| | - Ulrike Obst
- School of Chemistry, University of Bristol, Bristol, United Kingdom
| | - Massimiliano Secchi
- Diabetes Research Institute, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Lorenzo Piemonti
- Diabetes Research Institute, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Vito Lampasona
- Diabetes Research Institute, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Joyce Smith
- School of Cellular and Molecular Medicine, University of Bristol, Bristol, United Kingdom
| | - Michaela Gregorova
- School of Cellular and Molecular Medicine, University of Bristol, Bristol, United Kingdom
| | - Lea Knezevic
- Bristol Veterinary School, University of Bristol, Bristol, United Kingdom
| | - Jane Metz
- School of Cellular and Molecular Medicine, University of Bristol, Bristol, United Kingdom
- Department of Paediatric Immunology and Infectious Diseases, Bristol Royal Hospital for Children, Bristol, United Kingdom
| | - Rachael Barr
- School of Cellular and Molecular Medicine, University of Bristol, Bristol, United Kingdom
- Department of Paediatric Immunology and Infectious Diseases, Bristol Royal Hospital for Children, Bristol, United Kingdom
| | - Begonia Morales-Aza
- School of Cellular and Molecular Medicine, University of Bristol, Bristol, United Kingdom
| | - Jennifer Oliver
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom
| | - Lucy Collingwood
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom
| | - Benjamin Hitchings
- School of Cellular and Molecular Medicine, University of Bristol, Bristol, United Kingdom
| | - Susan Ring
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom
- MRC Integrative Epidemiology Unit at University of Bristol, Bristol, United Kingdom
| | - Linda Wooldridge
- Bristol Veterinary School, University of Bristol, Bristol, United Kingdom
| | - Laura Rivino
- School of Cellular and Molecular Medicine, University of Bristol, Bristol, United Kingdom
| | - Nicholas Timpson
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom
- MRC Integrative Epidemiology Unit at University of Bristol, Bristol, United Kingdom
| | - Jorgen McKernon
- National Infection Service, UK Health Security Agency, Southmead Hospital, Bristol, United Kingdom
| | - Peter Muir
- National Infection Service, UK Health Security Agency, Southmead Hospital, Bristol, United Kingdom
| | - Fergus Hamilton
- MRC Integrative Epidemiology Unit at University of Bristol, Bristol, United Kingdom
- Academic Respiratory Unit, Bristol Medical School, University of Bristol, Bristol, United Kingdom
| | - David Arnold
- Academic Respiratory Unit, Bristol Medical School, University of Bristol, Bristol, United Kingdom
| | - Derek N. Woolfson
- School of Chemistry, University of Bristol, Bristol, United Kingdom
- School of Biochemistry, Biomedical Sciences Building, University Walk, University of Bristol, Bristol, United Kingdom
- Bristol BioDesign Institute, University of Bristol, Bristol, United Kingdom
| | - Anu Goenka
- School of Cellular and Molecular Medicine, University of Bristol, Bristol, United Kingdom
- Department of Paediatric Immunology and Infectious Diseases, Bristol Royal Hospital for Children, Bristol, United Kingdom
| | - Andrew D. Davidson
- School of Cellular and Molecular Medicine, University of Bristol, Bristol, United Kingdom
| | - Ashley M. Toye
- School of Biochemistry, Biomedical Sciences Building, University Walk, University of Bristol, Bristol, United Kingdom
- Bristol BioDesign Institute, University of Bristol, Bristol, United Kingdom
- Bristol Institute of Transfusion Sciences, NHS Blood and Transplant Filton, Bristol, United Kingdom
| | - Imre Berger
- School of Chemistry, University of Bristol, Bristol, United Kingdom
- School of Biochemistry, Biomedical Sciences Building, University Walk, University of Bristol, Bristol, United Kingdom
- Bristol BioDesign Institute, University of Bristol, Bristol, United Kingdom
| | - Mick Bailey
- Bristol Veterinary School, University of Bristol, Bristol, United Kingdom
| | - Kathleen M. Gillespie
- Diabetes and Metabolism, Bristol Medical School, University of Bristol, Bristol, United Kingdom
| | - Alistair J. K. Williams
- Diabetes and Metabolism, Bristol Medical School, University of Bristol, Bristol, United Kingdom
| | - Adam Finn
- School of Cellular and Molecular Medicine, University of Bristol, Bristol, United Kingdom
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom
- Department of Paediatric Immunology and Infectious Diseases, Bristol Royal Hospital for Children, Bristol, United Kingdom
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18
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Neutralizing-antibody response to SARS-CoV-2 for 12 months after the COVID-19 workplace outbreaks in Japan. PLoS One 2022; 17:e0273712. [PMID: 36040882 PMCID: PMC9426944 DOI: 10.1371/journal.pone.0273712] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2021] [Accepted: 08/11/2022] [Indexed: 11/19/2022] Open
Abstract
This study aimed to elucidate the 12-month durability of neutralizing antibodies (NAbs) against severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in patients infected during the 2020 workplace outbreaks of coronavirus disease 2019 (COVID-19) in Japan. We followed 33 Japanese patients infected with SARS-CoV-2 in April 2020 for 12 months (12M). Patients were tested for NAbs and for antibodies against the SARS-CoV-2 nucleocapsid (anti-NC-Ab) and antibodies against the spike receptor-binding domain (anti-RBD-Ab). Tests were performed at 2M, 6M, and 12M after the primary infection (api) with commercially available test kits. In 90.9% (30/33) of patients, NAbs persisted for 12M api, though the median titers significantly declined from 78.7% (interquartile range [IQR]: 73.0–85.0%) at 2M, to 59.8% (IQR: 51.2–77.9) at 6M (P = 0.008), and to 56.2% (IQR: 39.6–74.4) at 12M (P<0.001). An exponential decay model showed that the NAb level reached undetectable concentrations at 35.5 months api (95% confidence interval: 26.5–48.0 months). Additionally, NAb titers were significantly related to anti-RBD-Ab titers (rho = 0.736, P<0.001), but not to anti-NC-Ab titers. In most patients convalescing from COVID-19, NAbs persisted for 12M api. This result suggested that patients need a booster vaccination within one year api, even though NAbs could be detected for over two years api. Anti-RBD-Ab titers could be used as a surrogate marker for predicting residual NAb levels.
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19
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Menges D, Zens KD, Ballouz T, Caduff N, Llanas-Cornejo D, Aschmann HE, Domenghino A, Pellaton C, Perreau M, Fenwick C, Pantaleo G, Kahlert CR, Münz C, Puhan MA, Fehr JS. Heterogenous humoral and cellular immune responses with distinct trajectories post-SARS-CoV-2 infection in a population-based cohort. Nat Commun 2022; 13:4855. [PMID: 35982045 PMCID: PMC9386650 DOI: 10.1038/s41467-022-32573-w] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/02/2022] [Accepted: 08/06/2022] [Indexed: 12/14/2022] Open
Abstract
To better understand the development of SARS-CoV-2-specific immunity over time, a detailed evaluation of humoral and cellular responses is required. Here, we characterize anti-Spike (S) IgA and IgG in a representative population-based cohort of 431 SARS-CoV-2-infected individuals up to 217 days after diagnosis, demonstrating that 85% develop and maintain anti-S responses. In a subsample of 64 participants, we further assess anti-Nucleocapsid (N) IgG, neutralizing antibody activity, and T cell responses to Membrane (M), N, and S proteins. In contrast to S-specific antibody responses, anti-N IgG levels decline substantially over time and neutralizing activity toward Delta and Omicron variants is low to non-existent within just weeks of Wildtype SARS-CoV-2 infection. Virus-specific T cells are detectable in most participants, albeit more variable than antibody responses. Cluster analyses of the co-evolution of antibody and T cell responses within individuals identify five distinct trajectories characterized by specific immune patterns and clinical factors. These findings demonstrate the relevant heterogeneity in humoral and cellular immunity to SARS-CoV-2 while also identifying consistent patterns where antibody and T cell responses may work in a compensatory manner to provide protection. The persistence of the immune response to SARS-CoV-2 after recovery from infection is an indicator for subsequent protection against infection. Here the authors follow recovered patients and measure antibody and T cell responses and find that these two parts of the immune response may have different longevity.
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Affiliation(s)
- Dominik Menges
- Epidemiology, Biostatistics and Prevention Institute (EBPI), University of Zurich (UZH), Zurich, Switzerland
| | - Kyra D Zens
- Epidemiology, Biostatistics and Prevention Institute (EBPI), University of Zurich (UZH), Zurich, Switzerland.,Institute for Experimental Immunology, University of Zurich (UZH), Zurich, Switzerland
| | - Tala Ballouz
- Epidemiology, Biostatistics and Prevention Institute (EBPI), University of Zurich (UZH), Zurich, Switzerland
| | - Nicole Caduff
- Epidemiology, Biostatistics and Prevention Institute (EBPI), University of Zurich (UZH), Zurich, Switzerland.,Institute for Experimental Immunology, University of Zurich (UZH), Zurich, Switzerland
| | - Daniel Llanas-Cornejo
- Epidemiology, Biostatistics and Prevention Institute (EBPI), University of Zurich (UZH), Zurich, Switzerland
| | - Hélène E Aschmann
- Epidemiology, Biostatistics and Prevention Institute (EBPI), University of Zurich (UZH), Zurich, Switzerland.,Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA, USA
| | - Anja Domenghino
- Epidemiology, Biostatistics and Prevention Institute (EBPI), University of Zurich (UZH), Zurich, Switzerland.,Department of Visceral and Transplantation Surgery, University Hospital Zurich (USZ), University of Zurich (UZH), Zurich, Switzerland
| | - Céline Pellaton
- Service of Immunology and Allergy, Lausanne University Hospital (CHUV), University of Lausanne (UNIL), Lausanne, Switzerland
| | - Matthieu Perreau
- Service of Immunology and Allergy, Lausanne University Hospital (CHUV), University of Lausanne (UNIL), Lausanne, Switzerland
| | - Craig Fenwick
- Service of Immunology and Allergy, Lausanne University Hospital (CHUV), University of Lausanne (UNIL), Lausanne, Switzerland
| | - Giuseppe Pantaleo
- Service of Immunology and Allergy, Lausanne University Hospital (CHUV), University of Lausanne (UNIL), Lausanne, Switzerland
| | - Christian R Kahlert
- Division of Infectious Diseases and Hospital Epidemiology, Cantonal Hospital St. Gallen, St. Gallen, Switzerland.,Division of Infectious Diseases and Hospital Epidemiology, Children's Hospital of Eastern Switzerland, St. Gallen, Switzerland
| | - Christian Münz
- Institute for Experimental Immunology, University of Zurich (UZH), Zurich, Switzerland
| | - Milo A Puhan
- Epidemiology, Biostatistics and Prevention Institute (EBPI), University of Zurich (UZH), Zurich, Switzerland.
| | - Jan S Fehr
- Epidemiology, Biostatistics and Prevention Institute (EBPI), University of Zurich (UZH), Zurich, Switzerland
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20
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Hills T, Paterson A, Woodward R, Middleton F, Carlton LH, McGregor R, Barfoot S, Ramiah C, Whitcombe AL, Zimbron VM, Mahuika D, Brown J, Palmer-Neels K, Manning B, Jani D, Reeves B, Whitta GT, Morpeth S, Beasley R, Weatherall M, Jordan A, McIntyre P, Moreland NJ, Mirjalili SA. The effect of needle length and skin to deltoid muscle distance in adults receiving an mRNA COVID-19 vaccine. Vaccine 2022; 40:4827-4834. [PMID: 35792021 PMCID: PMC9239984 DOI: 10.1016/j.vaccine.2022.06.070] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2022] [Revised: 06/22/2022] [Accepted: 06/23/2022] [Indexed: 01/07/2023]
Abstract
BACKGROUND The mRNA COVID vaccines are only licensed for intramuscular injection but it is unclear whether successful intramuscular administration is required for immunogenicity. METHODS In this observational study, eligible adults receiving their first ComirnatyTM/BNT162b2 dose had their skin to deltoid muscle distance (SDMD) measured by ultrasound. The relationship between SDMD and height, weight, body mass index, and arm circumference was assessed. Three needle length groups were identified: 'clearly sufficient' (needle exceeding SDMD by >5 mm), 'probably sufficient' (needle exceeding SDMD by ≤ 5 mm), and 'insufficient' (needle length ≤ SDMD). Baseline and follow-up finger prick blood samples were collected and the primary outcome variable was mean spike antibody levels in the three needle length groups. RESULTS Participants (n = 402) had a mean age of 34.7 years, BMI 29.1 kg/m2, arm circumference 37.5 cm, and SDMD 13.3 mm. The SDMD was >25 mm in 23/402 (5.7%) and >20 mm in 61/402 (15.2%) participants. Both arm circumference (≥40 cm) and BMI (≥33 kg/m2) were able to identify those with a SDMD of >25 mm, the length of a standard injection needle, with a sensitivity of 100% and specificities of 71.2 and 79.9%, respectively. Of 249/402 (62%) participants with paired blood samples, there was no significant difference in spike antibody titres between needle length groups. The mean (SD) spike BAU/mL was 464.5 (677.1) in 'clearly sufficient needle length' (n = 217) compared with 506.4 (265.1) in 'probably sufficient' (n = 21, p = 0.09), and 489.4 (452.3) in 'insufficient needle length' (n = 11, p = 0.65). CONCLUSIONS A 25 mm needle length is likely to be inadequate to ensure vaccine deposition within the deltoid muscle in a small proportion of adults. Vaccine-induced spike antibody titres were comparable in those vaccinated with a needle of sufficient versus insufficient length suggesting deltoid muscle deposition may not be required for an adequate antibody response to mRNA vaccines.
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Affiliation(s)
- Thomas Hills
- Medical Research Institute of New Zealand, New Zealand; Auckland District Health Board, New Zealand
| | - Aimee Paterson
- School of Medical Sciences, The University of Auckland, New Zealand
| | - Rebecca Woodward
- Auckland Radiology Group Auckland Radiology Group, Auckland, New Zealand
| | | | - Lauren H Carlton
- School of Medical Sciences, The University of Auckland, New Zealand
| | - Reuben McGregor
- School of Medical Sciences, The University of Auckland, New Zealand
| | | | - Ciara Ramiah
- School of Medical Sciences, The University of Auckland, New Zealand
| | | | - Victor M Zimbron
- School of Medical Sciences, The University of Auckland, New Zealand
| | - David Mahuika
- School of Medical Sciences, The University of Auckland, New Zealand
| | - Joshua Brown
- School of Medical Sciences, The University of Auckland, New Zealand
| | | | - Brittany Manning
- School of Medical Sciences, The University of Auckland, New Zealand
| | - Devanshi Jani
- School of Medical Sciences, The University of Auckland, New Zealand
| | - Brooke Reeves
- School of Medical Sciences, The University of Auckland, New Zealand
| | - Georgia T Whitta
- School of Medical Sciences, The University of Auckland, New Zealand
| | | | | | - Mark Weatherall
- Capital and Coast District Health Board, New Zealand; University of Otago Wellington, New Zealand
| | | | | | - Nicole J Moreland
- School of Medical Sciences, The University of Auckland, New Zealand.
| | - S Ali Mirjalili
- School of Medical Sciences, The University of Auckland, New Zealand.
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21
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Priddy FH, Williams M, Carson S, Lavender B, Mathieson J, Frampton C, Moreland NJ, McGregor R, Williams G, Brewerton M, Gell K, Ussher J, Le Gros G. Immunogenicity of BNT162b2 COVID-19 vaccine in New Zealand adults. Vaccine 2022; 40:5050-5059. [PMID: 35868948 PMCID: PMC9273612 DOI: 10.1016/j.vaccine.2022.07.009] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2022] [Revised: 06/30/2022] [Accepted: 07/07/2022] [Indexed: 01/07/2023]
Abstract
Background There is very little known about SARS-CoV-2 vaccine immune responses in New Zealand populations at greatest risk for serious COVID-19 disease. Methods This prospective cohort study assessed immunogenicity in BNT162b2 mRNA vaccine recipients in New Zealand without previous COVID-19, with enrichment for Māori, Pacific peoples, older adults ≥ 65 years of age, and those with co-morbidities. Serum samples were analysed at baseline and 28 days after second dose for presence of quantitative anti-S IgG by chemiluminescent microparticle immunoassay and for neutralizing capacity against Wuhan, Beta, Delta, and Omicron BA.1 strains using a surrogate viral neutralisation assay. Results 285 adults with median age of 52 years were included. 55% were female, 30% were Māori, 28% were Pacific peoples, and 26% were ≥ 65 years of age. Obesity, cardiac and pulmonary disease and diabetes were more common than in the general population. All participants received 2 doses of BNT162b2 vaccine. At 28 days after second vaccination, 99.6% seroconverted to the vaccine, and anti-S IgG and neutralising antibody levels were high across gender and ethnic groups. IgG and neutralising responses declined with age. Lower responses were associated with age ≥ 75 and diabetes, but not BMI. The ability to neutralise the Omicron BA.1 variant in vitro was severely diminished but maintained against other variants of concern. Conclusions Vaccine antibody responses to BNT162b2 were generally robust and consistent with international data in this COVID-19 naïve cohort with representation of key populations at risk for COVID-19 morbidity. Subsequent data on response to boosters, durability of responses and cellular immune responses should be assessed with attention to elderly adults and diabetics.
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Affiliation(s)
- Frances H Priddy
- Vaccine Alliance Aotearoa New Zealand and Malaghan Institute of Medical Research, PO Box 7060, Wellington 6242, New Zealand.
| | - Michael Williams
- Pacific Clinical Research Network, 1289 Haupapa St, Rotorua 3010, New Zealand
| | - Simon Carson
- Pacific Clinical Research Network, 1289 Haupapa St, Rotorua 3010, New Zealand
| | - Brittany Lavender
- Vaccine Alliance Aotearoa New Zealand and Malaghan Institute of Medical Research, PO Box 7060, Wellington 6242, New Zealand
| | - Julia Mathieson
- Pacific Clinical Research Network, 1289 Haupapa St, Rotorua 3010, New Zealand
| | - Chris Frampton
- University of Otago, 2 Riccarton Ave, Christchurch 8011, New Zealand
| | - Nicole J Moreland
- University of Auckland, 2 Park Rd, Grafton Auckland 1023, New Zealand
| | - Reuben McGregor
- University of Auckland, 2 Park Rd, Grafton Auckland 1023, New Zealand
| | - Georgia Williams
- Pacific Clinical Research Network, 1289 Haupapa St, Rotorua 3010, New Zealand
| | - Maia Brewerton
- Vaccine Alliance Aotearoa New Zealand and Malaghan Institute of Medical Research, PO Box 7060, Wellington 6242, New Zealand; Department of Clinical Immunology & Allergy, Auckland City Hospital, 2 Park Rd, Grafton Auckland 1023, New Zealand
| | - Katie Gell
- Vaccine Alliance Aotearoa New Zealand and Malaghan Institute of Medical Research, PO Box 7060, Wellington 6242, New Zealand
| | - James Ussher
- Vaccine Alliance Aotearoa New Zealand and University of Otago, 362 Leith St, Dunedin 9016 New Zealand
| | - Graham Le Gros
- Vaccine Alliance Aotearoa New Zealand and Malaghan Institute of Medical Research, PO Box 7060, Wellington 6242, New Zealand
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22
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Mohammed T, Brewer JVV, Pyatt M, Whitbourne SB, Gaziano JM, Edson C, Holodniy M. Evaluation of Independent Self-Collected Blood Specimens for COVID-19 Antibody Detection among the US Veteran Population. Diagn Microbiol Infect Dis 2022; 104:115770. [PMID: 35985109 PMCID: PMC9287846 DOI: 10.1016/j.diagmicrobio.2022.115770] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2022] [Revised: 07/11/2022] [Accepted: 07/12/2022] [Indexed: 11/25/2022]
Abstract
Feasibility of home blood sample collection methods for the presence of SARS-CoV-2 antibodies from VA Million Veteran Program (MVP) participants was tested to determine COVID-19 infection or vaccination status. Participants (n = 312) were randomly assigned to self-collect blood specimens using the Neoteryx Mitra Clamshell (n = 136) or Tasso-SST (n = 176) and asked to rate their experience. Mitra tip blood was eluted and Tasso tubes were centrifuged. All samples were stored at -80 °C until tested with InBios SCoV-2 Detect™ IgG ELISA, BioRad Platelia SARS-CoV-2 Total Ab Assay, Abbott SARS-CoV-2 IgG and AdviseDx SARS-CoV-2 IgG II assays. Participants rated both devices equally. The Abbott assay had the highest sensitivity (87% Mitra, 98% Tasso-SST) for detecting known COVID infection and/or vaccination. The InBios assay with Tasso-SST had the best sensitivity (97%) and specificity (80%) for detecting known COVID-19 infection and/or vaccination. Veterans successfully collected their own specimens with no strong preference for either device.
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Affiliation(s)
- Tseli Mohammed
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, MA, USA.
| | - Jessica V V Brewer
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, MA, USA
| | - Mary Pyatt
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, MA, USA
| | - Stacey B Whitbourne
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, MA, USA; Department of Medicine, Harvard Medical School, Boston, MA, USA; Department of Medicine, Division of Aging, Brigham and Women's Hospital, Boston, MA, USA
| | - J Michael Gaziano
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, MA, USA; Department of Medicine, Harvard Medical School, Boston, MA, USA; Department of Medicine, Division of Aging, Brigham and Women's Hospital, Boston, MA, USA
| | - Connor Edson
- VHA Public Health Reference Laboratory (PHRL), Palo Alto, CA, USA
| | - Mark Holodniy
- VHA Public Health Reference Laboratory (PHRL), Palo Alto, CA, USA; Department of Medicine, Stanford University, Stanford, CA, USA
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23
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Eyran T, Vaisman-Mentesh A, Taussig D, Dror Y, Aizik L, Kigel A, Rosenstein S, Bahar Y, Ini D, Tur-Kaspa R, Kournos T, Marcoviciu D, Dicker D, Wine Y. Longitudinal kinetics of RBD+ antibodies in COVID-19 recovered patients over 14 months. PLoS Pathog 2022; 18:e1010569. [PMID: 35658051 PMCID: PMC9200310 DOI: 10.1371/journal.ppat.1010569] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2021] [Revised: 06/15/2022] [Accepted: 05/03/2022] [Indexed: 02/06/2023] Open
Abstract
We describe the longitudinal kinetics of the serological response in COVID-19 recovered patients over a period of 14 months. The antibody kinetics in a cohort of 192 recovered patients, including 66 patients for whom follow-up serum samples were obtained at two to four clinic visits, revealed that RBD-specific antibodies decayed over the 14 months following the onset of symptoms. The decay rate was associated with the robustness of the response in that antibody levels that were initially highly elevated after the onset of symptoms subsequently decayed more rapidly. An exploration of the differences in the longitudinal kinetics between recovered patients and naïve vaccinees who had received two doses of the BNT162b2 vaccine showed a significantly faster decay in the naïve vaccinees, indicating that serological memory following natural infection is more robust than that following to vaccination. Our data highlighting the differences between serological memory induced by natural infection vs. vaccination contributed to the decision-making process in Israel regarding the necessity for a third vaccination dose. The fundamental idea guiding vaccine science is that an ideal vaccine should induce immunity similar to the immunity produced by natural infection. A vaccine is designed to “train” the immune system in a way that it will mimic the stimulation necessary for immune development, yet not produce active disease. Understanding the persistence of antibodies in patients following recovery from natural infection with SARS-CoV-2 will help to highlight the differences between the breadth of the antibody responses following natural infection and vaccination and may inform us whether the vaccine “training” will effectively stimulate the immune system to provide long-lasting immunity. Using samples collected from recovered COVID-19 patients over an extended period of 14 months, we followed the persistence of antibodies and found an association between the antibody levels in proximity to recovery and the rate of decay. In addition, we found that the decay rate of antibodies in BNT162b2 vaccinees was significantly faster than that in recovered patients, suggesting that there are fundamental differences between the mechanisms of activation of the adaptive arm of the immune response following vaccine and natural infection. While natural infection involves full systemic activation, this activation may be incomplete with an mRNA vaccination, thereby affecting the capacity of the immune system to maintain an antibody reservoir over time.
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Affiliation(s)
- Tsuf Eyran
- The Shmunis School of Biomedicine and Cancer Research, George S. Wise Faculty of Life Sciences, Tel Aviv University, Tel Aviv, Israel
| | - Anna Vaisman-Mentesh
- The Shmunis School of Biomedicine and Cancer Research, George S. Wise Faculty of Life Sciences, Tel Aviv University, Tel Aviv, Israel
| | - David Taussig
- The Shmunis School of Biomedicine and Cancer Research, George S. Wise Faculty of Life Sciences, Tel Aviv University, Tel Aviv, Israel
| | - Yael Dror
- The Shmunis School of Biomedicine and Cancer Research, George S. Wise Faculty of Life Sciences, Tel Aviv University, Tel Aviv, Israel
| | - Ligal Aizik
- The Shmunis School of Biomedicine and Cancer Research, George S. Wise Faculty of Life Sciences, Tel Aviv University, Tel Aviv, Israel
| | - Aya Kigel
- The Shmunis School of Biomedicine and Cancer Research, George S. Wise Faculty of Life Sciences, Tel Aviv University, Tel Aviv, Israel
- The Center for Combatting Pandemics, Tel Aviv University, Tel Aviv, Israel
| | - Shai Rosenstein
- The Shmunis School of Biomedicine and Cancer Research, George S. Wise Faculty of Life Sciences, Tel Aviv University, Tel Aviv, Israel
| | - Yael Bahar
- The Shmunis School of Biomedicine and Cancer Research, George S. Wise Faculty of Life Sciences, Tel Aviv University, Tel Aviv, Israel
| | - Dor Ini
- The Shmunis School of Biomedicine and Cancer Research, George S. Wise Faculty of Life Sciences, Tel Aviv University, Tel Aviv, Israel
| | - Ran Tur-Kaspa
- Liver Institute, Rabin Medical Center, Beilinson Hospital, Petah Tikva, Israel
- Molecular Hepatology Research Laboratory, Felsenstein Medical Research Center, Sackler School of Medicine Tel-Aviv University, Tel Aviv, Israel
- The Azrieli Faculty of Medicine, Bar-Ilan University, Safed, Israel
| | - Tatyana Kournos
- Internal Medicine D, Hasharon Hospital, Rabin Medical Center, Petah Tikva, Israel
| | - Dana Marcoviciu
- Internal Medicine D, Hasharon Hospital, Rabin Medical Center, Petah Tikva, Israel
| | - Dror Dicker
- Internal Medicine D, Hasharon Hospital, Rabin Medical Center, Petah Tikva, Israel
- Sackler School of Medicine, Tel Aviv University, Tel Aviv, Israel
- * E-mail: (DD); (YW)
| | - Yariv Wine
- The Shmunis School of Biomedicine and Cancer Research, George S. Wise Faculty of Life Sciences, Tel Aviv University, Tel Aviv, Israel
- The Center for Combatting Pandemics, Tel Aviv University, Tel Aviv, Israel
- * E-mail: (DD); (YW)
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24
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Martynova E, Hamza S, Markelova M, Garanina E, Davidyuk Y, Shakirova V, Kaushal N, Baranwal M, Stott-Marshall RJ, Foster TL, Rizvanov A, Khaiboullina S. Immunogenic SARS-CoV-2 S and N Protein Peptide and Cytokine Combinations as Biomarkers for Early Prediction of Fatal COVID-19. Front Immunol 2022; 13:830715. [PMID: 35386707 PMCID: PMC8979210 DOI: 10.3389/fimmu.2022.830715] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2021] [Accepted: 02/14/2022] [Indexed: 01/05/2023] Open
Abstract
Early indications of the likelihood of severe coronavirus disease 2019 COVID-19 can influence treatments and could improve clinical outcomes. However, knowledge on the prediction markers of COVID-19 fatality risks remains limited. Here, we analyzed and quantified the reactivity of serum samples from acute (non-fatal and fatal) and convalescent COVID-19 patients with the spike surface glycoprotein (S protein) and nucleocapsid phosphoprotein (N protein) SARS-CoV-2 peptide libraries. Cytokine activation was also analyzed. We demonstrated that IgM from fatal COVID-19 serum reacted with several N protein peptides. In contrast, IgM from non-fatal serum reacted more with S protein peptides. Further, higher levels of pro-inflammatory cytokines were found in fatal COVID-19 serum compared to non-fatal. Many of these cytokines were pro-inflammatory and chemokines. Differences in IgG reactivity from fatal and non-fatal COVID-19 sera were also demonstrated. Additionally, the longitudinal analysis of IgG reactivity with SARS-CoV-2 S and N protein identified peptides with the highest longevity in humoral immune response. Finally, using IgM antibody reactivity with S and N SARS-CoV-2 peptides and selected cytokines, we have identified a panel of biomarkers specific to patients with a higher risk of fatal COVID-19 compared with that of patients who survive. This panel could be used for the early prediction of COVID-19 fatality risk.
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Affiliation(s)
- Ekaterina Martynova
- Institute of Fundamental Medicine and Biology, Kazan Federal University, Kazan, Russia
| | - Shaimaa Hamza
- Institute of Fundamental Medicine and Biology, Kazan Federal University, Kazan, Russia
| | - Maria Markelova
- Institute of Fundamental Medicine and Biology, Kazan Federal University, Kazan, Russia
| | - Ekaterina Garanina
- Institute of Fundamental Medicine and Biology, Kazan Federal University, Kazan, Russia
| | - Yuriy Davidyuk
- Institute of Fundamental Medicine and Biology, Kazan Federal University, Kazan, Russia
| | - Venera Shakirova
- Department of Infectious Diseases, Kazan State Medical Academy, Kazan, Russia
| | - Neha Kaushal
- Department of Biotechnology, Thapar Institute of Engineering and Technology, Patiala, India
| | - Manoj Baranwal
- Department of Biotechnology, Thapar Institute of Engineering and Technology, Patiala, India
| | - Robert J. Stott-Marshall
- Faculty of Medicine and Health Sciences, School of Veterinary Medicine and Science, Wolfson Centre for Global Virus Research, University of Nottingham, Loughborough, United Kingdom
| | - Toshana L. Foster
- Faculty of Medicine and Health Sciences, School of Veterinary Medicine and Science, Wolfson Centre for Global Virus Research, University of Nottingham, Loughborough, United Kingdom
| | - Albert Rizvanov
- Institute of Fundamental Medicine and Biology, Kazan Federal University, Kazan, Russia
| | - Svetlana Khaiboullina
- Institute of Fundamental Medicine and Biology, Kazan Federal University, Kazan, Russia
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25
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Mehmood M, Usman Khan H, Khan MI, Khan I, Al-Raddadi RM, Harakeh S, Yousafzai YM. Trajectory of anti-SARS-COV-2 IgG antibodies from onset of symptoms to 6 months in a cohort of Pakistani patients. Infect Dis (Lond) 2022; 54:460-463. [PMID: 35147051 DOI: 10.1080/23744235.2022.2033312] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/05/2022] Open
Affiliation(s)
- Maria Mehmood
- Department of Pathology, Khyber Medical College, Peshawar, Pakistan
| | - Haleema Usman Khan
- Institute of Pathology and Diagnostic Medicine, Khyber Medical University, Peshawar, Pakistan
| | | | - Ishaq Khan
- Institute of Basic Medical Sciences, Khyber Medical University, Peshawar, Pakistan
| | | | - Steve Harakeh
- Special Infectious Agents Unit, King Fahd Medical Research Center, King Abdulaziz University, Jeddah, Saudi Arabia
| | - Yasar Mehmood Yousafzai
- Institute of Pathology and Diagnostic Medicine, Khyber Medical University, Peshawar, Pakistan.,Institute of Infection, Immunity and Inflammation, University of Glasgow, Glasgow, UK
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26
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Bhuiyan MS, Brintz BJ, Whitcombe AL, Markmann AJ, Bartelt LA, Moreland NJ, Azman AS, Leung DT. Combining antibody markers for serosurveillance of SARS-CoV-2 to estimate seroprevalence and time-since-infection. Epidemiol Infect 2022; 150:e20. [PMID: 35068405 PMCID: PMC8795773 DOI: 10.1017/s0950268821002764] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2021] [Revised: 12/10/2021] [Accepted: 12/19/2021] [Indexed: 12/14/2022] Open
Abstract
Serosurveillance is an important epidemiologic tool for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), used to estimate infection rates and the degree of population immunity. There is no general agreement on which antibody biomarker(s) should be used, especially with the rollout of vaccines globally. Here, we used random forest models to demonstrate that a single spike or receptor-binding domain (RBD) antibody was adequate for classifying prior infection, while a combination of two antibody biomarkers performed better than any single marker for estimating time-since-infection. Nucleocapsid antibodies performed worse than spike or RBD antibodies for classification, but can be useful for estimating time-since-infection, and in distinguishing infection-induced from vaccine-induced responses. Our analysis has the potential to inform the design of serosurveys for SARS-CoV-2, including decisions regarding a number of antibody biomarkers measured.
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Affiliation(s)
- Md S. Bhuiyan
- Division of Infectious Disease, University of Utah School of Medicine, Salt Lake City, UT, USA
| | - Ben J. Brintz
- Division of Epidemiology, University of Utah School of Medicine, Salt Lake City, UT, USA
| | - Alana L. Whitcombe
- Faculty of Medical and Health Sciences, University of Auckland, Auckland, New Zealand
- Maurice Wilkins Center, University of Auckland, Auckland, New Zealand
| | - Alena J. Markmann
- Department of Medicine, Division of Infectious Diseases, University of North Carolina School of Medicine, Chapel Hill, NC27599, USA
| | - Luther A. Bartelt
- Department of Medicine, Division of Infectious Diseases, University of North Carolina School of Medicine, Chapel Hill, NC27599, USA
| | - Nicole J. Moreland
- Faculty of Medical and Health Sciences, University of Auckland, Auckland, New Zealand
- Maurice Wilkins Center, University of Auckland, Auckland, New Zealand
| | - Andrew S. Azman
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
- Faculty of Medicine, Institute of Global Health, University of Geneva, Geneva, Switzerland
| | - Daniel T. Leung
- Division of Infectious Disease, University of Utah School of Medicine, Salt Lake City, UT, USA
- Division of Microbiology & Immunology, University of Utah School of Medicine, Salt Lake City, UT, USA
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27
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Kober C, Manni S, Wolff S, Barnes T, Mukherjee S, Vogel T, Hoenig L, Vogel P, Hahn A, Gerlach M, Vey M, Widmer E, Keiner B, Schuetz P, Roth N, Kalina U. IgG3 and IgM Identified as Key to SARS-CoV-2 Neutralization in Convalescent Plasma Pools. PLoS One 2022; 17:e0262162. [PMID: 34982806 PMCID: PMC8726489 DOI: 10.1371/journal.pone.0262162] [Citation(s) in RCA: 18] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2021] [Accepted: 12/17/2021] [Indexed: 12/13/2022] Open
Abstract
Analysis of convalescent plasma derived from individuals has shown that IgG3 has the most important role in binding to SARS-CoV-2 antigens; however, this has not yet been confirmed in large studies, and the link between binding and neutralization has not been confirmed. By analyzing plasma pools consisting of 247-567 individual convalescent donors, we demonstrated the binding of IgG3 and IgM to Spike-1 protein and the receptor-binding domain correlates strongly with viral neutralization in vitro. Furthermore, despite accounting for only approximately 12% of total immunoglobulin mass, collectively IgG3 and IgM account for approximately 80% of the total neutralization. This may have important implications for the development of potent therapies for COVID-19, as it indicates that hyperimmune globulins or convalescent plasma donations with high IgG3 concentrations may be a highly efficacious therapy.
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Affiliation(s)
- Christina Kober
- Research & Development, CSL Behring Innovation GmbH, Marburg, Germany
| | - Sandro Manni
- Research & Development, CSL Behring, Bern, Switzerland
| | - Svenja Wolff
- Research & Development, CSL Behring Innovation GmbH, Marburg, Germany
| | - Thomas Barnes
- Research & Development, CSL Behring, Bern, Switzerland
| | | | - Thomas Vogel
- Research & Development, CSL Behring Innovation GmbH, Marburg, Germany
| | - Lea Hoenig
- Research & Development, CSL Behring, Bern, Switzerland
| | - Peter Vogel
- Research & Development, CSL Behring Innovation GmbH, Marburg, Germany
| | - Aaron Hahn
- Research & Development, CSL Behring Innovation GmbH, Marburg, Germany
| | - Michaela Gerlach
- Research & Development, CSL Behring Innovation GmbH, Marburg, Germany
| | - Martin Vey
- Research & Development, CSL Behring Innovation GmbH, Marburg, Germany
| | | | - Björn Keiner
- Research & Development, CSL Behring Innovation GmbH, Marburg, Germany
| | | | - Nathan Roth
- Research & Development, CSL Behring, Bern, Switzerland
| | - Uwe Kalina
- Research & Development, CSL Behring Innovation GmbH, Marburg, Germany
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28
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Response kinetics of different classes of antibodies to SARS-CoV2 infection in the Japanese population: The IgA and IgG titers increased earlier than the IgM titers. Int Immunopharmacol 2021; 103:108491. [PMID: 34954559 PMCID: PMC8687758 DOI: 10.1016/j.intimp.2021.108491] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2021] [Revised: 12/14/2021] [Accepted: 12/17/2021] [Indexed: 12/13/2022]
Abstract
To better understand the immune responses to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection in individuals with COVID-19, it is important to investigate the kinetics of the antibody responses and their associations with the clinical course in different populations, since there seem to be considerable differences between Western and Asian populations in the clinical features and spread of COVID-19. In this study, we serially measured the serum titers of IgM, IgG and IgA antibodies generated against the nucleocapsid protein (NCP), S1 subunit of the spike protein (S1), and receptor-binding domain in the S1 subunit (RBD) of SARS-CoV-2 in Japanese individuals with COVID-19. Among the IgM, IgG, and IgA antibodies, IgA antibodies against all of the aforementioned viral proteins were the first to appear after the infection, and IgG and/or IgA seroconversion often preceded IgM seroconversion. In regard to the timeline of the antibody responses to the different viral proteins (NCP, S1 and RBD), IgA against NCP appeared than IgA against S1 or RBD, while IgM and IgG against S1 appeared earlier than IgM/IgG against NCP or RBD. The IgG responses to all three viral proteins and responses of all three antibody classes to S1 and RBD were sustained for longer durations than the IgA/IgM responses to all three viral proteins and responses of all three antibody classes to NCP, respectively. The seroconversion of IgA against NCP occurred later and less frequently in patients with mild COVID-19. These results suggest possible differences in the antibody responses to SARS-CoV-2 antigens between the Japanese and Western populations.
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29
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Rudge J, Kushon S. Volumetric absorptive microsampling: its use in COVID-19 research and testing. Bioanalysis 2021; 13:1851-1863. [PMID: 34463128 PMCID: PMC8407274 DOI: 10.4155/bio-2021-0102] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2021] [Accepted: 08/11/2021] [Indexed: 11/25/2022] Open
Abstract
COVID-19 led to changes in the way blood samples are collected. As societies were isolated to control viral spread, access to facilities became limited. Remote sample collection with a volumetric microsampling approach, using Mitra® devices based on VAMS® technology, proved to be highly effective. It allowed people to collect high-quality samples at home and post them to a laboratory. This enabled scientists to conduct large serosurveillance studies, with results showing that seroprevalence of COVID-19 was higher than initially expected. Furthermore, remote microsampling studies by several institutions were conducted to measure the relationship between antigen levels and antibody response and duration. VAMS technology was also used in COVID-19 clinical trials. In summary, the independent research reviewed in this paper proved that VAMS is an effective sample collection alternative.
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Affiliation(s)
- James Rudge
- Neoteryx LLC, 421 Amapola Ave., Torrance, CA 90501, USA
| | - Stuart Kushon
- Neoteryx LLC, 421 Amapola Ave., Torrance, CA 90501, USA
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30
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Whitcombe AL, Han F, McAlister SM, Kirkham LAS, Young PG, Ritchie SR, Atatoa Carr P, Proft T, Moreland NJ. An eight-plex immunoassay for Group A streptococcus serology and vaccine development. J Immunol Methods 2021; 500:113194. [PMID: 34801540 DOI: 10.1016/j.jim.2021.113194] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2021] [Revised: 11/11/2021] [Accepted: 11/15/2021] [Indexed: 11/17/2022]
Abstract
Group A Streptococcus (GAS) is a major human pathogen responsible for superficial infections through to life-threatening invasive disease and the autoimmune sequelae acute rheumatic fever (ARF). Despite a significant global economic and health burden, there is no licensed vaccine available to prevent GAS disease. Several pre-clinical vaccines that target conserved GAS antigens are in development. Assays that measure antigen-specific antibodies are essential for vaccine research. The aim of this study was to develop a multiplex beadbased immunoassay that can detect and quantify antibody responses to multiple GAS antigen targets in small volume blood samples. This builds on our existing triplex assay comprised of antigens used in clinical serology for the diagnosis of ARF (SLO, DNase B and SpnA). Five additional conserved putative GAS vaccine antigens (Spy0843, SCPA, SpyCEP, SpyAD and the Group A carbohydrate), were coupled to spectrally unique beads to form an 8-plex antigen panel. After optimisation of the assay protocol, standard curves were generated, and assessments of assay specificity, precision and reproducibility were conducted. A broad range of antibody (IgG) titres were able to be quickly and accurately quantified from a single serum dilution. Assay utility was assessed using a panel of 62 clinical samples including serum from adults with GAS bacteraemia and children with ARF. Circulating IgG to all eight antigens was elevated in patients with GAS disease (n = 23) compared to age-matched controls (n = 39) (P < 0.05). The feasibility of using dried blood samples to quantify antigen-specific IgG was also demonstrated. In summary, a robust and reproducible 8-plex assay has been developed that simultaneously quantifies IgG antibodies to GAS vaccine and diagnostic antigens.
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Affiliation(s)
- Alana L Whitcombe
- School of Medical Sciences, The University of Auckland, New Zealand; Maurice Wilkins Centre for Biodiscovery, The University of Auckland, New Zealand
| | - Franklin Han
- School of Medical Sciences, The University of Auckland, New Zealand
| | - Sonia M McAlister
- Wesfarmers Centre of Vaccines & Infectious Disease, Telethon Kids Institute, Perth, Western Australia, Australia; Division of Paediatrics, School of Medicine, The University of Western Australia, Perth, Western Australia, Australia
| | - Lea-Ann S Kirkham
- Wesfarmers Centre of Vaccines & Infectious Disease, Telethon Kids Institute, Perth, Western Australia, Australia; Centre for Child Health Research, University of Western Australia, Perth, Australia
| | - Paul G Young
- School of Biological Sciences, The University of Auckland, New Zealand
| | | | | | - Thomas Proft
- School of Medical Sciences, The University of Auckland, New Zealand; Maurice Wilkins Centre for Biodiscovery, The University of Auckland, New Zealand
| | - Nicole J Moreland
- School of Medical Sciences, The University of Auckland, New Zealand; Maurice Wilkins Centre for Biodiscovery, The University of Auckland, New Zealand.
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31
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Thamm R, Buttmann-Schweiger N, Fiebig J, Poethko-Müller C, Prütz F, Sarganas G, Neuhauser H. [Seroprevalence of SARS-CoV-2 among children and adolescents in Germany-an overview]. Bundesgesundheitsblatt Gesundheitsforschung Gesundheitsschutz 2021; 64:1483-1491. [PMID: 34731291 PMCID: PMC8563819 DOI: 10.1007/s00103-021-03448-0] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2021] [Accepted: 10/06/2021] [Indexed: 01/26/2023]
Abstract
Hintergrund SARS-CoV-2-Antikörperstudien ergänzen und erweitern die Erkenntnisse aus der Meldestatistik laborbestätigter COVID-19-Fälle um Informationen zu unentdeckten Fällen. Ziel der Arbeit Der vorliegende Beitrag fasst bisherige Ergebnisse zur SARS-CoV-2-Prävalenz aus seroepidemiologischen Studien in Deutschland zusammen, die sich auf Kinder und Jugendliche konzentrieren, und ergänzt die bereits vorliegende Übersicht zur Seroprävalenz bei Erwachsenen und speziell bei Blutspendenden in Deutschland. Material und Methoden Die Ergebnisse der Übersichtsarbeit beruhen auf einer fortlaufenden systematischen Recherche in Studienregistern, Literaturdatenbanken, von Preprint-Veröffentlichungen und Medienberichten seroepidemiologischer Studien in Deutschland sowie deren Ergebnissen. Ergebnisse Mit Stand 17.09.2021 sind uns 16 deutsche seroepidemiologische Studien, die sich auf Kinder und Jugendliche konzentrieren, bekannt geworden. Für 9 dieser Studien liegen Ergebnisse vor. Für fast alle untersuchten Settings lag die SARS-CoV-2-Seroprävalenz für Kinder im Kita- und Grundschulalter in der ersten COVID-19-Welle deutlich unter 1 % und für Jugendliche unter 2 %. Im Verlauf der Pandemie wurden höhere Seroprävalenzen von bis zu 8 % für Kinder im Grundschulalter ermittelt. Diskussion Ergebnisse von SARS-CoV-2-Antikörperstudien bei Kindern und Jugendlichen in Deutschland liegen bislang erst in geringem Umfang und basierend auf lokal-regionalen, nichtrepräsentativen Stichproben vor. In künftigen Studien gilt es, einerseits abzuschätzen, welcher Anteil der Kinder und Jugendlichen bereits eine Infektion hatte oder geimpft ist. Zum anderen gilt es, die Verbreitung körperlicher und psychischer Beeinträchtigungen im Nachgang einer Infektion zu untersuchen.
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Affiliation(s)
- Roma Thamm
- Abteilung Epidemiologie und Gesundheitsmonitoring, Robert Koch-Institut, General-Pape-Str. 62-66, 12101, Berlin, Deutschland.
| | - Nina Buttmann-Schweiger
- Abteilung Epidemiologie und Gesundheitsmonitoring, Robert Koch-Institut, General-Pape-Str. 62-66, 12101, Berlin, Deutschland
| | - Julia Fiebig
- Abteilung Epidemiologie und Gesundheitsmonitoring, Robert Koch-Institut, General-Pape-Str. 62-66, 12101, Berlin, Deutschland
| | - Christina Poethko-Müller
- Abteilung Epidemiologie und Gesundheitsmonitoring, Robert Koch-Institut, General-Pape-Str. 62-66, 12101, Berlin, Deutschland
| | - Franziska Prütz
- Abteilung Epidemiologie und Gesundheitsmonitoring, Robert Koch-Institut, General-Pape-Str. 62-66, 12101, Berlin, Deutschland
| | - Giselle Sarganas
- Abteilung Epidemiologie und Gesundheitsmonitoring, Robert Koch-Institut, General-Pape-Str. 62-66, 12101, Berlin, Deutschland
| | - Hannelore Neuhauser
- Abteilung Epidemiologie und Gesundheitsmonitoring, Robert Koch-Institut, General-Pape-Str. 62-66, 12101, Berlin, Deutschland
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Hasan Ali I, Sahib Abdulamir A. Measurement of SARS-CoV-2-Specific Humoral and Cellular Immunity in Coronavirus Disease 2019 Convalescent Health Care Workers in Iraq. ARCHIVES OF RAZI INSTITUTE 2021; 76:1255-2127. [PMID: 35355770 PMCID: PMC8934095 DOI: 10.22092/ari.2021.356135.1785] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Subscribe] [Scholar Register] [Received: 09/07/2021] [Accepted: 10/04/2021] [Indexed: 06/14/2023]
Abstract
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) belongs to the Coronaviridae family which led to a global pandemic. However, available knowledge on adaptive immunity in convalescent individuals is limited. The present study was conducted on 191 convalescent coronavirus disease 2019 (COVID-19) health care workers (HCW); moreover, it evaluated the cell-mediated immunity of 122 recovered HCW and the level of anti-receptor binding domain (RBD) IgG antibodies of 181 recovered HCW. Cellular and humoral immune responses were identified over time from one to eight months post recovery with varying disease severity using MTT proliferation assay and enzyme-linked immunosorbent assay. Analysis of lymphocyte proliferation with S1 protein in mild-moderate and severe HCW revealed an insignificant difference with an increase in the maximum and third quartile (Q3) from one to eight months after COVID-19 recovery. Antibody levels in mild-moderate and severe recovered HCW were insignificantly different from post-COVID 19 recovery (P>0.05); in addition, the median, maximum, and Q3 values of anti-RBD IgG were close to each other over the time intervals from one to eight months post recovery. These data suggest that many convalescent HCW enrolled in this study were re-exposed to the virus without the development of symptoms indicating the role of cell-mediated and humoral immunity in preventing symptomatic reinfection. This study reveals that a robust immunity developed after mild, moderate, and severe COVID-19 that could last for several months post recovery.
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Affiliation(s)
- I Hasan Ali
- Department of Microbiology, Al-Nahrain University College of Medicine, Baghdad, Iraq
| | - A Sahib Abdulamir
- Department of Microbiology, Al-Nahrain University College of Medicine, Baghdad, Iraq
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Generation and persistence of S1 IgG and neutralizing antibodies in post-COVID-19 patients. Infection 2021; 50:447-456. [PMID: 34668145 PMCID: PMC8525617 DOI: 10.1007/s15010-021-01705-7] [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: 06/09/2021] [Accepted: 09/22/2021] [Indexed: 11/01/2022]
Abstract
BACKGROUND Antibody-mediated immune response plays an important role in protection against reinfection. In the case of SARS-CoV-2 infection, the maximum duration of antibody response is still unknown. In this work, the generation of neutralizing antibodies (NAbs) and IgG antibodies against the S1 subunit (S1 IgG ) of SARS-CoV-2 and their possible duration were determined through decay models. METHODS 132 participants with SARS-CoV-2 infection were classified according to the severity of the disease. Seroconversion and persistence of S1 IgG antibodies and NAbs were determined by ELISA, samples were taken at two different times post-infection and duration of those antibodies was estimated using Linear Mixed Models (LMMs). RESULTS The highest amount of S1 IgGs antibodies was associated with age (41 years or older), greater severity of COVID-19 and male gender. NAbs production was associated with the same variables, except for age. The percentage of NAbs decay is higher in the asymptomatic group (P = 0.033), while in S1 IgG antibodies decay, no statistical difference was found between the 4 severity groups. An exponential decay model was built by using a LMM and similarly, two dispersion regions where constructed. The duration of S1 IgG antibodies was 744 days (668-781) for first region and 744 days (453-1231) for the second. Regarding NAbs, an adaptative LMM was used to model a logistic function, determining a duration of 267 days (215-347). CONCLUSION Humoral immunity to SARS-CoV-2 infection depends on the severity of the disease, gender and age. This immune response could be long-lasting as for other coronaviruses.
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34
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Torbati E, Krause KL, Ussher JE. The Immune Response to SARS-CoV-2 and Variants of Concern. Viruses 2021; 13:1911. [PMID: 34696342 PMCID: PMC8537260 DOI: 10.3390/v13101911] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2021] [Revised: 09/09/2021] [Accepted: 09/10/2021] [Indexed: 01/07/2023] Open
Abstract
At the end of 2019 a newly emerged betacoronavirus, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), was identified as the cause of an outbreak of severe pneumonia, subsequently termed COVID-19, in a number of patients in Wuhan, China. Subsequently, SARS-CoV-2 rapidly spread globally, resulting in a pandemic that has to date infected over 200 million individuals and resulted in more than 4.3 million deaths. While SARS-CoV-2 results in severe disease in 13.8%, with increasing frequency of severe disease with age, over 80% of infections are asymptomatic or mild. The immune response is an important determinant of outcome following SARS-CoV-2 infection. While B cell and T cell responses are associated with control of infection and protection against subsequent challenge with SARS-CoV-2, failure to control viral replication and the resulting hyperinflammation are associated with severe COVID-19. Towards the end of 2020, several variants of concern emerged that demonstrate increased transmissibility and/or evasion of immune responses from prior SARS-CoV-2 infection. This article reviews what is known about the humoral and cellular immune responses to SARS-CoV-2 and how mutation and structural/functional changes in the emerging variants of concern impact upon the immune protection from prior infection or vaccination.
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Affiliation(s)
- Elham Torbati
- Department of Microbiology and Immunology, University of Otago, Dunedin 9016, New Zealand;
- Vaccine Alliance Aotearoa New Zealand, Malaghan Institute of Medical Research, Wellington 6242, New Zealand
| | - Kurt L. Krause
- Department of Biochemistry, University of Otago, Dunedin 9016, New Zealand;
- Maurice Wilkins Centre for Molecular Biodiscovery, University of Auckland, Auckland 1142, New Zealand
| | - James E. Ussher
- Department of Microbiology and Immunology, University of Otago, Dunedin 9016, New Zealand;
- Vaccine Alliance Aotearoa New Zealand, Malaghan Institute of Medical Research, Wellington 6242, New Zealand
- Maurice Wilkins Centre for Molecular Biodiscovery, University of Auckland, Auckland 1142, New Zealand
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35
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Ortega N, Ribes M, Vidal M, Rubio R, Aguilar R, Williams S, Barrios D, Alonso S, Hernández-Luis P, Mitchell RA, Jairoce C, Cruz A, Jimenez A, Santano R, Méndez S, Lamoglia M, Rosell N, Llupià A, Puyol L, Chi J, Melero NR, Parras D, Serra P, Pradenas E, Trinité B, Blanco J, Mayor A, Barroso S, Varela P, Vilella A, Trilla A, Santamaria P, Carolis C, Tortajada M, Izquierdo L, Angulo A, Engel P, García-Basteiro AL, Moncunill G, Dobaño C. Seven-month kinetics of SARS-CoV-2 antibodies and role of pre-existing antibodies to human coronaviruses. Nat Commun 2021; 12:4740. [PMID: 34362897 PMCID: PMC8346582 DOI: 10.1038/s41467-021-24979-9] [Citation(s) in RCA: 88] [Impact Index Per Article: 29.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2021] [Accepted: 07/16/2021] [Indexed: 12/24/2022] Open
Abstract
Unraveling the long-term kinetics of antibodies to SARS-CoV-2 and the individual characteristics influencing it, including the impact of pre-existing antibodies to human coronaviruses causing common cold (HCoVs), is essential to understand protective immunity to COVID-19 and devise effective surveillance strategies. IgM, IgA and IgG levels against six SARS-CoV-2 antigens and the nucleocapsid antigen of the four HCoV (229E, NL63, OC43 and HKU1) were quantified by Luminex, and antibody neutralization capacity was assessed by flow cytometry, in a cohort of health care workers followed up to 7 months (N = 578). Seroprevalence increases over time from 13.5% (month 0) and 15.6% (month 1) to 16.4% (month 6). Levels of antibodies, including those with neutralizing capacity, are stable over time, except IgG to nucleocapsid antigen and IgM levels that wane. After the peak response, anti-spike antibody levels increase from ~150 days post-symptom onset in all individuals (73% for IgG), in the absence of any evidence of re-exposure. IgG and IgA to HCoV are significantly higher in asymptomatic than symptomatic seropositive individuals. Thus, pre-existing cross-reactive HCoVs antibodies could have a protective effect against SARS-CoV-2 infection and COVID-19 disease.
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Affiliation(s)
- Natalia Ortega
- ISGlobal, Hospital Clínic, Universitat de Barcelona, Barcelona, Catalonia, Spain
| | - Marta Ribes
- ISGlobal, Hospital Clínic, Universitat de Barcelona, Barcelona, Catalonia, Spain
| | - Marta Vidal
- ISGlobal, Hospital Clínic, Universitat de Barcelona, Barcelona, Catalonia, Spain
| | - Rocío Rubio
- ISGlobal, Hospital Clínic, Universitat de Barcelona, Barcelona, Catalonia, Spain
| | - Ruth Aguilar
- ISGlobal, Hospital Clínic, Universitat de Barcelona, Barcelona, Catalonia, Spain
| | - Sarah Williams
- ISGlobal, Hospital Clínic, Universitat de Barcelona, Barcelona, Catalonia, Spain
| | - Diana Barrios
- ISGlobal, Hospital Clínic, Universitat de Barcelona, Barcelona, Catalonia, Spain
| | - Selena Alonso
- ISGlobal, Hospital Clínic, Universitat de Barcelona, Barcelona, Catalonia, Spain
| | - Pablo Hernández-Luis
- Institut d'Investigacions Biomèdiques August Pi i Sunyer, Barcelona, Spain
- Immunology Unit, Department of Biomedical Sciences, Faculty of Medicine and Health Sciences, University of Barcelona, Barcelona, Spain
| | - Robert A Mitchell
- ISGlobal, Hospital Clínic, Universitat de Barcelona, Barcelona, Catalonia, Spain
| | - Chenjerai Jairoce
- ISGlobal, Hospital Clínic, Universitat de Barcelona, Barcelona, Catalonia, Spain
- Centro de Investigação em Saúde de Manhiça, Maputo, Mozambique
| | - Angeline Cruz
- ISGlobal, Hospital Clínic, Universitat de Barcelona, Barcelona, Catalonia, Spain
| | - Alfons Jimenez
- ISGlobal, Hospital Clínic, Universitat de Barcelona, Barcelona, Catalonia, Spain
- Spanish Consortium for Research in Epidemiology and Public Health, Madrid, Spain
| | - Rebeca Santano
- ISGlobal, Hospital Clínic, Universitat de Barcelona, Barcelona, Catalonia, Spain
| | - Susana Méndez
- ISGlobal, Hospital Clínic, Universitat de Barcelona, Barcelona, Catalonia, Spain
| | - Montserrat Lamoglia
- ISGlobal, Hospital Clínic, Universitat de Barcelona, Barcelona, Catalonia, Spain
- School of Health Sciences TecnoCampus Universitat Pompeu Fabra, Mataró, Spain
| | - Neus Rosell
- ISGlobal, Hospital Clínic, Universitat de Barcelona, Barcelona, Catalonia, Spain
| | - Anna Llupià
- ISGlobal, Hospital Clínic, Universitat de Barcelona, Barcelona, Catalonia, Spain
- Department of Preventive Medicine and Epidemiology, Hospital Clinic, Universitat de Barcelona, Barcelona, Spain
| | - Laura Puyol
- ISGlobal, Hospital Clínic, Universitat de Barcelona, Barcelona, Catalonia, Spain
| | - Jordi Chi
- ISGlobal, Hospital Clínic, Universitat de Barcelona, Barcelona, Catalonia, Spain
| | - Natalia Rodrigo Melero
- Biomolecular screening and Protein Technologies Unit, Centre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology, Barcelona, Spain
| | - Daniel Parras
- Institut d'Investigacions Biomèdiques August Pi i Sunyer, Barcelona, Spain
| | - Pau Serra
- Institut d'Investigacions Biomèdiques August Pi i Sunyer, Barcelona, Spain
| | - Edwards Pradenas
- IrsiCaixa AIDS Research Institute, Germans Trias i Pujol Research Institute (IGTP), Can Ruti Campus, UAB, Badalona, Catalonia, Spain
| | - Benjamin Trinité
- IrsiCaixa AIDS Research Institute, Germans Trias i Pujol Research Institute (IGTP), Can Ruti Campus, UAB, Badalona, Catalonia, Spain
| | - Julià Blanco
- IrsiCaixa AIDS Research Institute, Germans Trias i Pujol Research Institute (IGTP), Can Ruti Campus, UAB, Badalona, Catalonia, Spain
- University of Vic-Central University of Catalonia (UVic-UCC), Vic, Catalonia, Spain
| | - Alfredo Mayor
- ISGlobal, Hospital Clínic, Universitat de Barcelona, Barcelona, Catalonia, Spain
- Centro de Investigação em Saúde de Manhiça, Maputo, Mozambique
- Spanish Consortium for Research in Epidemiology and Public Health, Madrid, Spain
| | - Sonia Barroso
- Occupational Health Department, Hospital Clínic, Universitat de Barcelona, Barcelona, Spain
| | - Pilar Varela
- Occupational Health Department, Hospital Clínic, Universitat de Barcelona, Barcelona, Spain
| | - Anna Vilella
- ISGlobal, Hospital Clínic, Universitat de Barcelona, Barcelona, Catalonia, Spain
- Spanish Consortium for Research in Epidemiology and Public Health, Madrid, Spain
| | - Antoni Trilla
- ISGlobal, Hospital Clínic, Universitat de Barcelona, Barcelona, Catalonia, Spain
- Spanish Consortium for Research in Epidemiology and Public Health, Madrid, Spain
- Faculty of Medicine and Health Sciences, Universitat de Barcelona, Barcelona, Spain
| | - Pere Santamaria
- Department of Preventive Medicine and Epidemiology, Hospital Clinic, Universitat de Barcelona, Barcelona, Spain
- Julia McFarlane Diabetes Research Centre, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
- Department of Microbiology, Immunology and Infectious Diseases, Snyder Institute for Chronic Diseases, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
| | - Carlo Carolis
- Biomolecular screening and Protein Technologies Unit, Centre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology, Barcelona, Spain
| | - Marta Tortajada
- Occupational Health Department, Hospital Clínic, Universitat de Barcelona, Barcelona, Spain
| | - Luis Izquierdo
- ISGlobal, Hospital Clínic, Universitat de Barcelona, Barcelona, Catalonia, Spain
| | - Ana Angulo
- Institut d'Investigacions Biomèdiques August Pi i Sunyer, Barcelona, Spain
- Immunology Unit, Department of Biomedical Sciences, Faculty of Medicine and Health Sciences, University of Barcelona, Barcelona, Spain
| | - Pablo Engel
- Institut d'Investigacions Biomèdiques August Pi i Sunyer, Barcelona, Spain
- Immunology Unit, Department of Biomedical Sciences, Faculty of Medicine and Health Sciences, University of Barcelona, Barcelona, Spain
| | - Alberto L García-Basteiro
- ISGlobal, Hospital Clínic, Universitat de Barcelona, Barcelona, Catalonia, Spain
- Centro de Investigação em Saúde de Manhiça, Maputo, Mozambique
- International Health Department, Hospital Clínic, Universitat de Barcelona, Barcelona, Spain
| | - Gemma Moncunill
- ISGlobal, Hospital Clínic, Universitat de Barcelona, Barcelona, Catalonia, Spain.
| | - Carlota Dobaño
- ISGlobal, Hospital Clínic, Universitat de Barcelona, Barcelona, Catalonia, Spain.
- Spanish Consortium for Research in Epidemiology and Public Health, Madrid, Spain.
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Abstract
New Zealand has a strategy of eliminating SARS-CoV-2 that has resulted in a low incidence of reported coronavirus-19 disease (COVID-19). The aim of this study was to describe the spread of SARS-CoV-2 in New Zealand via a nationwide serosurvey of blood donors. Samples (n = 9806) were collected over a month-long period (3 December 2020–6 January 2021) from donors aged 16–88 years. The sample population was geographically spread, covering 16 of 20 district health board regions. A series of Spike-based immunoassays were utilised, and the serological testing algorithm was optimised for specificity given New Zealand is a low prevalence setting. Eighteen samples were seropositive for SARS-CoV-2 antibodies, six of which were retrospectively matched to previously confirmed COVID-19 cases. A further four were from donors that travelled to settings with a high risk of SARS-CoV-2 exposure, suggesting likely infection outside New Zealand. The remaining eight seropositive samples were from seven different district health regions for a true seroprevalence estimate, adjusted for test sensitivity and specificity, of 0.103% (95% confidence interval, 0.09–0.12%). The very low seroprevalence is consistent with limited undetected community transmission and provides robust, serological evidence to support New Zealand's successful elimination strategy for COVID-19.
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37
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Rajadhyaksha M, Londhe V. Microsampling: A role to play in Covid-19 diagnosis, surveillance, treatment and clinical trials. Drug Test Anal 2021; 13:1238-1248. [PMID: 34089576 DOI: 10.1002/dta.3107] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2021] [Revised: 05/29/2021] [Accepted: 06/01/2021] [Indexed: 12/13/2022]
Abstract
The outbreak of the new coronavirus disease changed the world upside down. Every day, millions of people were subjected to diagnostic testing for Covid-19, all over the world. Molecular tests helped in the diagnosis of current infection by detecting the presence of viral genome whereas serological tests helped in detecting the presence of antibody in blood as well as contributed to vaccine development. This testing helped in understanding the immunogenicity, community prevalence, geographical spread and conditions post-infection. However, with the contagious nature of the virus, biological specimen sampling involved the risk of transmission and spread of infection. Clinic or pathology visit was the most concerning part. Trained personnel and resources was another barrier. In this scenario, microsampling played an important role due to its most important advantage of remote, contactless, small volume and self-sampling. Minimum requirements for sample storage and ease of shipment added value in this situation. The highly sensitive instruments and validated assay formats assured the accuracy of results and stability of samples. Microsampling techniques are contributing effectively to the Covid-19 pandemic by reducing the demand for clinical staff in population-level testing. The validated and established applications supported the use of microsampling in diagnosis, therapeutic drug monitoring, development of treatment or vaccines and clinical trials for Covid-19.
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Affiliation(s)
- Madhura Rajadhyaksha
- SPPSPTM, SVKM's Narsee Monjee Institute of Management Studies, Mumbai, India.,Sitec Labs. Ltd., Navi Mumbai, India
| | - Vaishali Londhe
- SPPSPTM, SVKM's Narsee Monjee Institute of Management Studies, Mumbai, India
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38
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Wang H, Yuan Y, Xiao M, Chen L, Zhao Y, Haiwei Zhang, Long P, Zhou Y, Xu X, Lei Y, Bihao Wu, Diao T, Cai H, Liu L, Shao Z, Wang J, Bai Y, Wang K, Peng M, Liu L, Han S, Mei F, Cai K, Lei Y, Pan A, Wang C, Gong R, Li X, Wu T. Dynamics of the SARS-CoV-2 antibody response up to 10 months after infection. Cell Mol Immunol 2021; 18:1832-1834. [PMID: 34099890 PMCID: PMC8182358 DOI: 10.1038/s41423-021-00708-6] [Citation(s) in RCA: 37] [Impact Index Per Article: 12.3] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2021] [Accepted: 05/14/2021] [Indexed: 01/03/2023] Open
Affiliation(s)
- Hao Wang
- Ministry of Education and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yu Yuan
- Ministry of Education and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Mingzhong Xiao
- Hepatic Disease Institute, Hubei Key Laboratory of Theoretical and Applied Research of Liver and Kidney in Traditional Chinese Medicine, Hubei Provincial Hospital of Traditional Chinese Medicine, Wuhan, China.,Affiliated Hospital of Hubei University of Chinese Medicine, Wuhan, China.,Hubei Province Academy of Traditional Chinese Medicine, Wuhan, China
| | - Li Chen
- CAS Key Laboratory of Special Pathogens and Biosafety, Wuhan Institute of Virology, Center for Biosafety Mega-Science, Chinese Academy of Sciences, Wuhan, China.,University of Chinese Academy of Sciences, Beijing, China
| | - Youyun Zhao
- Hepatic Disease Institute, Hubei Key Laboratory of Theoretical and Applied Research of Liver and Kidney in Traditional Chinese Medicine, Hubei Provincial Hospital of Traditional Chinese Medicine, Wuhan, China.,Affiliated Hospital of Hubei University of Chinese Medicine, Wuhan, China.,Hubei Province Academy of Traditional Chinese Medicine, Wuhan, China
| | - Haiwei Zhang
- CAS Key Laboratory of Special Pathogens and Biosafety, Wuhan Institute of Virology, Center for Biosafety Mega-Science, Chinese Academy of Sciences, Wuhan, China
| | - Pinpin Long
- Ministry of Education and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yana Zhou
- Hepatic Disease Institute, Hubei Key Laboratory of Theoretical and Applied Research of Liver and Kidney in Traditional Chinese Medicine, Hubei Provincial Hospital of Traditional Chinese Medicine, Wuhan, China.,Affiliated Hospital of Hubei University of Chinese Medicine, Wuhan, China.,Hubei Province Academy of Traditional Chinese Medicine, Wuhan, China
| | - Xi Xu
- Hepatic Disease Institute, Hubei Key Laboratory of Theoretical and Applied Research of Liver and Kidney in Traditional Chinese Medicine, Hubei Provincial Hospital of Traditional Chinese Medicine, Wuhan, China.,Affiliated Hospital of Hubei University of Chinese Medicine, Wuhan, China.,Hubei Province Academy of Traditional Chinese Medicine, Wuhan, China
| | - Yanshou Lei
- Ministry of Education and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Bihao Wu
- CAS Key Laboratory of Special Pathogens and Biosafety, Wuhan Institute of Virology, Center for Biosafety Mega-Science, Chinese Academy of Sciences, Wuhan, China.,University of Chinese Academy of Sciences, Beijing, China
| | - Tingyue Diao
- Ministry of Education and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Hao Cai
- Ministry of Education and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Li Liu
- Ministry of Education and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Zuoyu Shao
- Hepatic Disease Institute, Hubei Key Laboratory of Theoretical and Applied Research of Liver and Kidney in Traditional Chinese Medicine, Hubei Provincial Hospital of Traditional Chinese Medicine, Wuhan, China.,Affiliated Hospital of Hubei University of Chinese Medicine, Wuhan, China.,Hubei Province Academy of Traditional Chinese Medicine, Wuhan, China
| | - Jingzhi Wang
- Hepatic Disease Institute, Hubei Key Laboratory of Theoretical and Applied Research of Liver and Kidney in Traditional Chinese Medicine, Hubei Provincial Hospital of Traditional Chinese Medicine, Wuhan, China.,Affiliated Hospital of Hubei University of Chinese Medicine, Wuhan, China.,Hubei Province Academy of Traditional Chinese Medicine, Wuhan, China
| | - Yansen Bai
- Ministry of Education and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Kai Wang
- Ministry of Education and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Miao Peng
- Hepatic Disease Institute, Hubei Key Laboratory of Theoretical and Applied Research of Liver and Kidney in Traditional Chinese Medicine, Hubei Provincial Hospital of Traditional Chinese Medicine, Wuhan, China.,Affiliated Hospital of Hubei University of Chinese Medicine, Wuhan, China.,Hubei Province Academy of Traditional Chinese Medicine, Wuhan, China
| | - Linlin Liu
- Hubei Provincial Center for Disease Control and Prevention, Wuhan, China
| | - Shi Han
- Hubei Provincial Center for Disease Control and Prevention, Wuhan, China
| | - Fanghua Mei
- Hubei Provincial Center for Disease Control and Prevention, Wuhan, China
| | - Kun Cai
- Hubei Provincial Center for Disease Control and Prevention, Wuhan, China
| | - Yake Lei
- Hubei Provincial Center for Disease Control and Prevention, Wuhan, China
| | - An Pan
- Ministry of Education and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Chaolong Wang
- Ministry of Education and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Rui Gong
- CAS Key Laboratory of Special Pathogens and Biosafety, Wuhan Institute of Virology, Center for Biosafety Mega-Science, Chinese Academy of Sciences, Wuhan, China.
| | - Xiaodong Li
- Hepatic Disease Institute, Hubei Key Laboratory of Theoretical and Applied Research of Liver and Kidney in Traditional Chinese Medicine, Hubei Provincial Hospital of Traditional Chinese Medicine, Wuhan, China. .,Affiliated Hospital of Hubei University of Chinese Medicine, Wuhan, China. .,Hubei Province Academy of Traditional Chinese Medicine, Wuhan, China.
| | - Tangchun Wu
- Ministry of Education and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
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