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Gaultier GN, McMillan B, Poloni C, Lo M, Cai B, Zheng JJ, Baer HM, Shulha HP, Simmons K, Márquez AC, Bartlett SR, Cook L, Levings MK, Steiner T, Sekirov I, Zlosnik JEA, Morshed M, Skowronski DM, Krajden M, Jassem AN, Sadarangani M. Adaptive immune responses to two-dose COVID-19 vaccine series in healthy Canadian adults ≥ 50 years: a prospective, observational cohort study. Sci Rep 2024; 14:8926. [PMID: 38637558 PMCID: PMC11026432 DOI: 10.1038/s41598-024-59535-0] [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: 07/28/2023] [Accepted: 04/11/2024] [Indexed: 04/20/2024] Open
Abstract
To evaluate immune responses to COVID-19 vaccines in adults aged 50 years and older, spike protein (S)-specific antibody concentration, avidity, and function (via angiotensin-converting enzyme 2 (ACE2) inhibition surrogate neutralization and antibody dependent cellular phagocytosis (ADCP)), as well as S-specific T cells were quantified via activation induced marker (AIM) assay in response to two-dose series. Eighty-four adults were vaccinated with either: mRNA/mRNA (mRNA-1273 and/or BNT162b2); ChAdOx1-S/mRNA; or ChAdOx1-S/ChAdOx1-S. Anti-S IgG concentrations, ADCP scores and ACE2 inhibiting antibody concentrations were highest at one-month post-second dose and declined by four-months post-second dose for all groups. mRNA/mRNA and ChAdOx1-S/mRNA schedules had significantly higher antibody responses than ChAdOx1-S/ChAdOx1-S. CD8+ T-cell responses one-month post-second dose were associated with increased ACE2 surrogate neutralization. Antibody avidity (total relative avidity index) did not change between one-month and four-months post-second dose and did not significantly differ between groups by four-months post-second dose. In determining COVID-19 correlates of protection, a measure that considers both antibody concentration and avidity should be considered.
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Affiliation(s)
- Gabrielle N Gaultier
- Department of Pediatrics, University of British Columbia, 950 West 28th Avenue, Vancouver, BC, V5Z 4H4, Canada.
- Vaccine Evaluation Center, British Columbia Children's Hospital Research Institute, Vancouver, BC, Canada.
| | - Brynn McMillan
- Vaccine Evaluation Center, British Columbia Children's Hospital Research Institute, Vancouver, BC, Canada
- Experimental Medicine Program, University of British Columbia, Vancouver, BC, Canada
| | - Chad Poloni
- Department of Microbiology and Immunology, University of British Columbia, Vancouver, BC, Canada
- British Columbia Children's Hospital Research Institute, University of British Columbia, Vancouver, BC, Canada
| | - Mandy Lo
- Department of Pediatrics, University of British Columbia, 950 West 28th Avenue, Vancouver, BC, V5Z 4H4, Canada
- Vaccine Evaluation Center, British Columbia Children's Hospital Research Institute, Vancouver, BC, Canada
| | - Bing Cai
- Department of Pediatrics, University of British Columbia, 950 West 28th Avenue, Vancouver, BC, V5Z 4H4, Canada
- Vaccine Evaluation Center, British Columbia Children's Hospital Research Institute, Vancouver, BC, Canada
| | - Jean J Zheng
- Vaccine Evaluation Center, British Columbia Children's Hospital Research Institute, Vancouver, BC, Canada
- Department of Microbiology and Immunology, University of British Columbia, Vancouver, BC, Canada
| | - Hannah M Baer
- Department of Microbiology and Immunology, University of British Columbia, Vancouver, BC, Canada
- British Columbia Children's Hospital Research Institute, University of British Columbia, Vancouver, BC, Canada
- Institute of Infection, Inflammation & Immunity, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow, UK
| | - Hennady P Shulha
- Department of Pediatrics, University of British Columbia, 950 West 28th Avenue, Vancouver, BC, V5Z 4H4, Canada
- Vaccine Evaluation Center, British Columbia Children's Hospital Research Institute, Vancouver, BC, Canada
| | - Karen Simmons
- Department of Pediatrics, University of British Columbia, 950 West 28th Avenue, Vancouver, BC, V5Z 4H4, Canada
- Vaccine Evaluation Center, British Columbia Children's Hospital Research Institute, Vancouver, BC, Canada
| | | | - Sofia R Bartlett
- British Columbia Centre for Disease Control, Vancouver, BC, Canada
- School of Population and Public Health, University of British Columbia, Vancouver, BC, Canada
| | - Laura Cook
- British Columbia Children's Hospital Research Institute, University of British Columbia, Vancouver, BC, Canada
- Department of Medicine, University of British Columbia, Vancouver, BC, Canada
- Department of Microbiology & Immunology, University of Melbourne at the Peter Doherty Institute for Infection and Immunity, Melbourne, VIC, Australia
| | - Megan K Levings
- British Columbia Children's Hospital Research Institute, University of British Columbia, Vancouver, BC, Canada
- Department of Surgery, University of British Columbia, Vancouver, BC, Canada
- School of Biomedical Engineering, University of British Columbia, Vancouver, BC, Canada
| | - Theodore Steiner
- British Columbia Children's Hospital Research Institute, University of British Columbia, Vancouver, BC, Canada
- Department of Medicine, University of British Columbia, Vancouver, BC, Canada
| | - Inna Sekirov
- British Columbia Centre for Disease Control, Vancouver, BC, Canada
- Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, BC, Canada
| | | | - Muhammad Morshed
- British Columbia Centre for Disease Control, Vancouver, BC, Canada
- Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, BC, Canada
| | - Danuta M Skowronski
- British Columbia Centre for Disease Control, Vancouver, BC, Canada
- School of Population and Public Health, University of British Columbia, Vancouver, BC, Canada
| | - Mel Krajden
- British Columbia Centre for Disease Control, Vancouver, BC, Canada
- Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, BC, Canada
| | - Agatha N Jassem
- British Columbia Centre for Disease Control, Vancouver, BC, Canada
- Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, BC, Canada
| | - Manish Sadarangani
- Department of Pediatrics, University of British Columbia, 950 West 28th Avenue, Vancouver, BC, V5Z 4H4, Canada
- Vaccine Evaluation Center, British Columbia Children's Hospital Research Institute, Vancouver, BC, Canada
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2
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Duong S, Burtniak J, Gretchen A, Mai A, Klassen P, Wei Y, Loeppky C, Shaw SY, Bullard J, Van Caeseele P, Stein DR. Riding high: seroprevalence of SARS-CoV-2 after 4 pandemic waves in Manitoba, Canada, April 2020-February 2022. BMC Public Health 2023; 23:2420. [PMID: 38053033 PMCID: PMC10696886 DOI: 10.1186/s12889-023-17239-6] [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: 10/14/2022] [Accepted: 11/16/2023] [Indexed: 12/07/2023] Open
Abstract
BACKGROUND Canada is emerging from the largest SARS-CoV-2 Omicron wave to date, with over 3.3 million confirmed cases. Unfortunately, PCR confirmed cases illuminate only a small portion of infections in the community and underestimate true disease burden. Population based seroprevalence studies, which measure antibody levels against a virus can more accurately estimate infection rates in the community and identify geographical and epidemiological trends to inform public health responses. METHODS The Manitoba COVID-19 Seroprevalence (MCS) study is a population-based cross-sectional study to assess the prevalence of SARS-CoV-2 antibodies across the province. Residual convenience specimens (n = 14,901) were tested for anti-SARS-CoV-2 nucleocapsid and spike IgG antibodies from April 1, 2020 to February 31, 2022. We estimated the monthly and cumulative prevalence using an exponential decay model, accounting for population demographics, sensitivity/specificity, and antibody waning. This approach generated estimates of natural infection as well as total antibody including vaccine-induced immunity within the community. FINDINGS After four waves of the pandemic, 60.1% (95%CI-56.6-63.7) of Manitobans have generated SARS-CoV-2 antibodies due to natural exposure independent of vaccination. Geographical analysis indicates a large portion of provincial prevalence stems from increased transmission in the Northern (92.3%) and Southern (71.8%) regional health authorities. Despite the high mortality rates reported by Manitoba, infection fatality ratios (IFR) peaked at 0.67% and declined to 0.20% following the Omicron wave, indicating parity with other national and international jurisdictions. Manitoba has achieved 93.4% (95%CI- 91.5-95.1) total antibody when including vaccination. INTERPRETATION Our data shows that more than 3 in 5 Manitobans have been infected by SARS-CoV-2 after four waves of the pandemic. This study also identifies key geographical and age specific prevalence rates that have contributed greatly to the overall severity of the pandemic in Manitoba and will inform jurisdictions considering reduction of public health measures.
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Affiliation(s)
| | | | | | - Anh Mai
- Cadham Provincial Laboratory, Manitoba Health, Winnipeg, Canada
| | - Penny Klassen
- Cadham Provincial Laboratory, Manitoba Health, Winnipeg, Canada
| | - Yichun Wei
- Epidemiology & Surveillance, Manitoba Health, Seniors and Active Living, Winnipeg, Canada
| | - Carla Loeppky
- Epidemiology & Surveillance, Manitoba Health, Seniors and Active Living, Winnipeg, Canada
| | | | - Jared Bullard
- University of Manitoba, Winnipeg, Canada
- Cadham Provincial Laboratory, Manitoba Health, Winnipeg, Canada
| | - Paul Van Caeseele
- University of Manitoba, Winnipeg, Canada
- Cadham Provincial Laboratory, Manitoba Health, Winnipeg, Canada
| | - Derek Riley Stein
- University of Manitoba, Winnipeg, Canada.
- Cadham Provincial Laboratory, Manitoba Health, Winnipeg, Canada.
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3
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Serology Assays Used in SARS-CoV-2 Seroprevalence Surveys Worldwide: A Systematic Review and Meta-Analysis of Assay Features, Testing Algorithms, and Performance. Vaccines (Basel) 2022; 10:vaccines10122000. [PMID: 36560415 PMCID: PMC9783516 DOI: 10.3390/vaccines10122000] [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: 09/28/2022] [Revised: 11/21/2022] [Accepted: 11/21/2022] [Indexed: 11/26/2022] Open
Abstract
Background: Many serological assays to detect SARS-CoV-2 antibodies were developed during the COVID-19 pandemic. Differences in the detection mechanism of SARS-CoV-2 serological assays limited the comparability of seroprevalence estimates for populations being tested. Methods: We conducted a systematic review and meta-analysis of serological assays used in SARS-CoV-2 population seroprevalence surveys, searching for published articles, preprints, institutional sources, and grey literature between 1 January 2020, and 19 November 2021. We described features of all identified assays and mapped performance metrics by the manufacturers, third-party head-to-head, and independent group evaluations. We compared the reported assay performance by evaluation source with a mixed-effect beta regression model. A simulation was run to quantify how biased assay performance affects population seroprevalence estimates with test adjustment. Results: Among 1807 included serosurveys, 192 distinctive commercial assays and 380 self-developed assays were identified. According to manufacturers, 28.6% of all commercial assays met WHO criteria for emergency use (sensitivity [Sn.] >= 90.0%, specificity [Sp.] >= 97.0%). However, manufacturers overstated the absolute values of Sn. of commercial assays by 1.0% [0.1, 1.4%] and 3.3% [2.7, 3.4%], and Sp. by 0.9% [0.9, 0.9%] and 0.2% [−0.1, 0.4%] compared to third-party and independent evaluations, respectively. Reported performance data was not sufficient to support a similar analysis for self-developed assays. Simulations indicate that inaccurate Sn. and Sp. can bias seroprevalence estimates adjusted for assay performance; the error level changes with the background seroprevalence. Conclusions: The Sn. and Sp. of the serological assay are not fixed properties, but varying features depending on the testing population. To achieve precise population estimates and to ensure the comparability of seroprevalence, serosurveys should select assays with high performance validated not only by their manufacturers and adjust seroprevalence estimates based on assured performance data. More investigation should be directed to consolidating the performance of self-developed assays.
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Olmstead AD, Nikiforuk AM, Schwartz S, Márquez AC, Valadbeigy T, Flores E, Saran M, Goldfarb DM, Hayden A, Masud S, Russell SL, Prystajecky N, Jassem AN, Morshed M, Sekirov I. Characterizing Longitudinal Antibody Responses in Recovered Individuals Following COVID-19 Infection and Single-Dose Vaccination: A Prospective Cohort Study. Viruses 2022; 14:v14112416. [PMID: 36366515 PMCID: PMC9694471 DOI: 10.3390/v14112416] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2022] [Revised: 10/22/2022] [Accepted: 10/26/2022] [Indexed: 11/06/2022] Open
Abstract
BACKGROUND Investigating antibody titers in individuals who have been both naturally infected with SARS-CoV-2 and vaccinated can provide insight into antibody dynamics and correlates of protection over time. METHODS Human coronavirus (HCoV) IgG antibodies were measured longitudinally in a prospective cohort of qPCR-confirmed, COVID-19 recovered individuals (k = 57) in British Columbia pre- and post-vaccination. SARS-CoV-2 and endemic HCoV antibodies were measured in serum collected between Nov. 2020 and Sept. 2021 (n = 341). Primary analysis used a linear mixed-effects model to understand the effect of single dose vaccination on antibody concentrations adjusting for biological sex, age, time from infection and vaccination. Secondary analysis investigated the cumulative incidence of high SARS-CoV-2 anti-spike IgG seroreactivity equal to or greater than 5.5 log10 AU/mL up to 105 days post-vaccination. No re-infections were detected in vaccinated participants, post-vaccination by qPCR performed on self-collected nasopharyngeal specimens. RESULTS Bivariate analysis (complete data for 42 participants, 270 samples over 472 days) found SARS-CoV-2 spike and RBD antibodies increased 14-56 days post-vaccination (p < 0.001) and vaccination prevented waning (regression coefficient, B = 1.66 [95%CI: 1.45-3.46]); while decline of nucleocapsid antibodies over time was observed (regression coefficient, B = -0.24 [95%CI: -1.2-(-0.12)]). A positive association was found between COVID-19 vaccination and endemic human β-coronavirus IgG titer 14-56 days post vaccination (OC43, p = 0.02 & HKU1, p = 0.02). On average, SARS-CoV-2 anti-spike IgG concentration increased in participants who received one vaccine dose by 2.06 log10 AU/mL (95%CI: 1.45-3.46) adjusting for age, biological sex, and time since infection. Cumulative incidence of high SARS-CoV-2 spike antibodies (>5.5 log10 AU/mL) was 83% greater in vaccinated compared to unvaccinated individuals. CONCLUSIONS Our study confirms that vaccination post-SARS-CoV-2 infection provides multiple benefits, such as increasing anti-spike IgG titers and preventing decay up to 85 days post-vaccination.
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Affiliation(s)
- Andrea D. Olmstead
- Department of Pathology and Laboratory Medicine, University of British Columbia, 2211 Wesbrook Mall, Vancouver, BC V6T 1Z7, Canada
- British Columbia Centre for Disease Control Public Health Laboratory, Provincial Health Services Authority, 655 West 12th Ave, Vancouver, BC V5Z 4R4, Canada
| | - Aidan M. Nikiforuk
- British Columbia Centre for Disease Control Public Health Laboratory, Provincial Health Services Authority, 655 West 12th Ave, Vancouver, BC V5Z 4R4, Canada
- School of Population and Public Health, University of British Columbia, 2206 E Mall, Vancouver, BC V6T 1Z3, Canada
| | - Sydney Schwartz
- British Columbia Centre for Disease Control Public Health Laboratory, Provincial Health Services Authority, 655 West 12th Ave, Vancouver, BC V5Z 4R4, Canada
| | - Ana Citlali Márquez
- British Columbia Centre for Disease Control Public Health Laboratory, Provincial Health Services Authority, 655 West 12th Ave, Vancouver, BC V5Z 4R4, Canada
| | - Tahereh Valadbeigy
- British Columbia Centre for Disease Control Public Health Laboratory, Provincial Health Services Authority, 655 West 12th Ave, Vancouver, BC V5Z 4R4, Canada
| | - Eri Flores
- British Columbia Centre for Disease Control Public Health Laboratory, Provincial Health Services Authority, 655 West 12th Ave, Vancouver, BC V5Z 4R4, Canada
| | - Monika Saran
- Department of Pathology and Laboratory Medicine, University of British Columbia, 2211 Wesbrook Mall, Vancouver, BC V6T 1Z7, Canada
| | - David M. Goldfarb
- Department of Pathology and Laboratory Medicine, University of British Columbia, 2211 Wesbrook Mall, Vancouver, BC V6T 1Z7, Canada
- Department of Pathology and Laboratory Medicine, British Columbia Children’s and Women’s Hospital, 4500 Oak Street, Vancouver, BC V6H 3N1, Canada
| | - Althea Hayden
- Office of the Chief Medical Health Officer, Vancouver Coastal Health, Vancouver, BC V5Z 4C2, Canada
| | - Shazia Masud
- Department of Pathology and Laboratory Medicine, University of British Columbia, 2211 Wesbrook Mall, Vancouver, BC V6T 1Z7, Canada
- Department of Pathology and Laboratory Medicine, Surrey Memorial Hospital, Surrey, BC V3V 1Z2, Canada
| | - Shannon L. Russell
- Department of Pathology and Laboratory Medicine, University of British Columbia, 2211 Wesbrook Mall, Vancouver, BC V6T 1Z7, Canada
- British Columbia Centre for Disease Control Public Health Laboratory, Provincial Health Services Authority, 655 West 12th Ave, Vancouver, BC V5Z 4R4, Canada
| | - Natalie Prystajecky
- Department of Pathology and Laboratory Medicine, University of British Columbia, 2211 Wesbrook Mall, Vancouver, BC V6T 1Z7, Canada
- British Columbia Centre for Disease Control Public Health Laboratory, Provincial Health Services Authority, 655 West 12th Ave, Vancouver, BC V5Z 4R4, Canada
| | - Agatha N. Jassem
- Department of Pathology and Laboratory Medicine, University of British Columbia, 2211 Wesbrook Mall, Vancouver, BC V6T 1Z7, Canada
- British Columbia Centre for Disease Control Public Health Laboratory, Provincial Health Services Authority, 655 West 12th Ave, Vancouver, BC V5Z 4R4, Canada
| | - Muhammad Morshed
- Department of Pathology and Laboratory Medicine, University of British Columbia, 2211 Wesbrook Mall, Vancouver, BC V6T 1Z7, Canada
- British Columbia Centre for Disease Control Public Health Laboratory, Provincial Health Services Authority, 655 West 12th Ave, Vancouver, BC V5Z 4R4, Canada
| | - Inna Sekirov
- Department of Pathology and Laboratory Medicine, University of British Columbia, 2211 Wesbrook Mall, Vancouver, BC V6T 1Z7, Canada
- British Columbia Centre for Disease Control Public Health Laboratory, Provincial Health Services Authority, 655 West 12th Ave, Vancouver, BC V5Z 4R4, Canada
- Correspondence:
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5
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Dibernardo A, Toledo NPL, Robinson A, Osiowy C, Giles E, Day J, Robbin Lindsay L, Drebot MA, Booth TF, Pidduck T, Baily A, Charlton CL, Tipples G, Kanji JN, Brochu G, Lang A, Therrien C, Bélanger-Collard M, Beaulac SN, Gilfix BM, Boivin G, Hamelin MÈ, Carbonneau J, Lévesque S, Martin P, Finzi A, Gendron-Lepage G, Goyette G, Benlarbi M, Gasser R, Fortin C, Martel-Lafferrière V, Lavoie M, Guérin R, Haraoui LP, Renaud C, Jenkins C, O'Brien SF, Drews SJ, Conrod V, Tran V, Awrey B, Scheuermann R, DuPuis A, Payne A, Warszycki C, Girardin R, Lee W, Zahariadis G, Jiao L, Needle R, Cordenbach J, Zaharatos J, Taylor K, Teltscher M, Miller M, Elsherif M, Robertson P, Robinson JL. Evaluation of the performance of multiple immunoassay diagnostic platforms on the National Microbiology Laboratory SARS-CoV-2 National Serology Panel. JOURNAL OF THE ASSOCIATION OF MEDICAL MICROBIOLOGY AND INFECTIOUS DISEASE CANADA = JOURNAL OFFICIEL DE L'ASSOCIATION POUR LA MICROBIOLOGIE MEDICALE ET L'INFECTIOLOGIE CANADA 2022; 7:186-195. [PMID: 36337598 PMCID: PMC9629736 DOI: 10.3138/jammi-2021-0026] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/26/2021] [Revised: 11/05/2021] [Accepted: 03/05/2022] [Indexed: 06/16/2023]
Abstract
BACKGROUND Serological assays designed to detect SARS-CoV-2 antibodies are being used in serological surveys and other specialized applications. As a result, and to ensure that the outcomes of serological testing meet high quality standards, evaluations are required to assess the performance of these assays and the proficiency of laboratories performing them. METHODS A panel of 60 plasma/serum samples from blood donors who had reverse transcriptase-polymerase chain reaction (RT-PCR) confirmed SARS-CoV-2 infections and 21 SARS-CoV-2 negative samples were secured and distributed to interested laboratories within Canada (n = 30) and the United States (n = 1). Participating laboratories were asked to provide details on the diagnostic assays used, the platforms the assays were performed on, and the results obtained for each panel sample. Laboratories were blinded with respect to the expected outcomes. RESULTS The performance of the different assays evaluated was excellent, with the high-throughput platforms of Roche, Ortho, and Siemens demonstrating 100% sensitivity. Most other high-throughput platforms had sensitivities of >93%, with the exception of the IgG assay using the Abbott ARCHITECT which had an average sensitivity of only 87%. The majority of the high-throughput platforms also demonstrated very good specificities (>97%). CONCLUSION This proficiency study demonstrates that most of the SARS-CoV-2 serological assays utilized by provincial public health or hospital laboratories in Canada have acceptable sensitivity and excellent specificity.
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Affiliation(s)
- Antonia Dibernardo
- National Microbiology Laboratory, Public Health Agency of Canada, Winnipeg, Manitoba, Canada
| | - Nikki PL Toledo
- National Microbiology Laboratory, Public Health Agency of Canada, Winnipeg, Manitoba, Canada
| | - Alyssia Robinson
- National Microbiology Laboratory, Public Health Agency of Canada, Winnipeg, Manitoba, Canada
| | - Carla Osiowy
- National Microbiology Laboratory, Public Health Agency of Canada, Winnipeg, Manitoba, Canada
| | - Elizabeth Giles
- National Microbiology Laboratory, Public Health Agency of Canada, Winnipeg, Manitoba, Canada
| | - Jacqueline Day
- National Microbiology Laboratory, Public Health Agency of Canada, Winnipeg, Manitoba, Canada
| | - L Robbin Lindsay
- National Microbiology Laboratory, Public Health Agency of Canada, Winnipeg, Manitoba, Canada
| | - Michael A Drebot
- National Microbiology Laboratory, Public Health Agency of Canada, Winnipeg, Manitoba, Canada
| | - Timothy F Booth
- National Microbiology Laboratory, Public Health Agency of Canada, Winnipeg, Manitoba, Canada
| | - Tamara Pidduck
- BCCDC Public Health Laboratory, Vancouver, British Columbia, Canada
| | - Ashley Baily
- Public Health Laboratory, Alberta Precision Laboratories, University of Alberta Hospital, Edmonton, Alberta, Canada
| | - Carmen L Charlton
- Department of Laboratory Medicine and Pathology, University of Alberta Faculty of Medicine and Dentistry, Edmonton, Alberta, Canada
| | - Graham Tipples
- Department of Medical Microbiology & Immunology, University of Alberta, Faculty of Medicine and Dentistry, Edmonton, Alberta, Canada
- Li Ka Shing Institute for Virology, Edmonton, Alberta, Canada
| | - Jamil N Kanji
- Department of Laboratory Medicine and Pathology, University of Alberta Faculty of Medicine and Dentistry, Edmonton, Alberta, Canada
- Division of Infectious Diseases, Department of Medicine, University of Alberta, Faculty of Medicine and Dentistry, Edmonton, Alberta, Canada
- Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
| | - Gino Brochu
- CIUSSS Mauricie—Centre du Québec, Trois-Rivières, Québec, Canada
| | - Amanda Lang
- Roy Romanow Provincial Laboratory, Saskatchewan Health Authority, Regina, Saskatchewan, Canada
| | - Christian Therrien
- Laboratoire de santé publique du Québec, Institut de santé publique du Québec, Saint-Anne-de-Bellevue, Québec, Canada
| | - Mélina Bélanger-Collard
- Laboratoire de santé publique du Québec, Institut de santé publique du Québec, Saint-Anne-de-Bellevue, Québec, Canada
| | - Sylvie-Nancy Beaulac
- Laboratoire de santé publique du Québec, Institut de santé publique du Québec, Saint-Anne-de-Bellevue, Québec, Canada
| | - Brian M Gilfix
- McGill University Health Centre, Department of Medicine, Montreal, Québec, Canada
| | - Guy Boivin
- Université Laval and CHU de Québec, Québec City, Québec, Canada
| | | | | | - Simon Lévesque
- National Microbiology Laboratory, Public Health Agency of Canada, Winnipeg, Manitoba, Canada
- CIUSSSE de l'Estrie—CHUS, Sherbrooke, Québec, Canada
- Département de microbiologie et infectiologie, Faculté de médecine et des sciences de la santé, Université de Sherbrooke, Sherbrooke, Québec, Canada
| | - Philippe Martin
- National Microbiology Laboratory, Public Health Agency of Canada, Winnipeg, Manitoba, Canada
- CIUSSSE de l'Estrie—CHUS, Sherbrooke, Québec, Canada
- Département de microbiologie et infectiologie, Faculté de médecine et des sciences de la santé, Université de Sherbrooke, Sherbrooke, Québec, Canada
| | - Andrés Finzi
- National Microbiology Laboratory, Public Health Agency of Canada, Winnipeg, Manitoba, Canada
- Département de Microbiologie, Infectiologie et Immunologie, Université de Montréal, Montréal, Québec, Canada
- Canada Department of Microbiology and Immunology, McGill University, Montreal, Québec, Canada
| | | | | | | | - Romain Gasser
- Département de Microbiologie, Infectiologie et Immunologie, Université de Montréal, Montréal, Québec, Canada
| | - Claude Fortin
- CHUM: Centre hospitalier de l'Université de Montréal, Montréal, Québec, Canada
| | | | - Myriam Lavoie
- CIUSSS du Saguenay Lac-St-Jean, Hôpital de Chicoutimi, Chicoutimi, Québec, Canada
| | - Renée Guérin
- Université de Sherbrooke, Sherbrooke, Québec, Canada
| | - Louis-Patrick Haraoui
- Department of Microbiology and Infectious Diseases, Faculty of Medicine and Health Sciences, Université de Sherbrooke, Sherbrooke, Québec, Canada
| | - Christian Renaud
- Centre Hospitalier Universitaire Sainte-Justine, Montréal, Québec, Canada
| | | | | | | | | | - Vanessa Tran
- BCCDC Public Health Laboratory, Vancouver, British Columbia, Canada
- Public Health Ontario, Toronto, Ontario, Canada
- Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, Ontario, Canada
| | - Bill Awrey
- Alpha Laboratories Inc., Toronto, Ontario, Canada
| | | | - Alan DuPuis
- Wadsworth Center, New York State Department of Health (NYSDOH), Albany, New York, United States
| | - Anne Payne
- Wadsworth Center, New York State Department of Health (NYSDOH), Albany, New York, United States
| | - Casey Warszycki
- Wadsworth Center, New York State Department of Health (NYSDOH), Albany, New York, United States
| | - Roxie Girardin
- Wadsworth Center, New York State Department of Health (NYSDOH), Albany, New York, United States
| | - William Lee
- BCCDC Public Health Laboratory, Vancouver, British Columbia, Canada
- Wadsworth Center, New York State Department of Health (NYSDOH), Albany, New York, United States
- Department of Biomedical Sciences, School of Public Health, University at Albany, Albany, New York, United States
| | - George Zahariadis
- Newfoundland and Labrador Public Health Microbiology Laboratory, St. Johns, Newfoundland, Canada
| | - Lei Jiao
- Newfoundland and Labrador Public Health Microbiology Laboratory, St. Johns, Newfoundland, Canada
| | - Robert Needle
- Newfoundland and Labrador Public Health Microbiology Laboratory, St. Johns, Newfoundland, Canada
| | | | | | | | | | - Matthew Miller
- Canadian Centre for Vaccinology, Dalhousie University, Halifax, Nova Scotia, Canada
| | - May Elsherif
- Canadian Centre for Vaccinology, Dalhousie University, Halifax, Nova Scotia, Canada
| | - Peter Robertson
- Canadian Centre for Vaccinology, Dalhousie University, Halifax, Nova Scotia, Canada
| | - Jason L Robinson
- Division of Clinical Chemistry, Provincial Laboratory Services, Health PEI, Charlottetown, Prince Edward Island, Canada
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6
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Abe KT, Rathod B, Colwill K, Gingras AC, Tuite A, Robbins NF, Orjuela G, Jenkins C, Conrod V, Yi QL, O’Brien SF, Drews SJ. A Qualitative Comparison of the Abbott SARS-CoV-2 IgG II Quant Assay against Commonly Used Canadian SARS-CoV-2 Enzyme Immunoassays in Blood Donor Retention Specimens, April 2020 to March 2021. Microbiol Spectr 2022; 10:e0113422. [PMID: 35652636 PMCID: PMC9241784 DOI: 10.1128/spectrum.01134-22] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2022] [Accepted: 05/14/2022] [Indexed: 01/11/2023] Open
Abstract
Our group has previously used laboratory and commercially developed assays to understand the IgG responses to SARS-CoV-2 antigens, including nucleocapsid (N), spike (S), and receptor binding domain (RBD), in Canadian blood donors. In this current study, we analyzed 17,428 available and previously characterized retention samples collected from April 2020 to March 2021. The analysis compared the characteristics of the Abbott SARS-CoV-2 IgG II Quant assay (Abbott anti-spike [S], Abbott, Chicago, IL) against four other IgG assays. The Abbott anti-S assay has a qualitative threshold of 50 AU/mL. The four comparator assays were the Abbott anti-nucleocapsid (N) assay and three commonly used Canadian in-house IgG enzyme-linked immunosorbent assays (ELISAs) recognizing distinct recombinant viral antigens, full-length spike glycoprotein, glycoprotein RBD, and nucleocapsid. The strongest qualitative relationship was between Sinai RBD and the Abbott anti-S assay (kappa, 0.707; standard error [SE] of kappa, 0.018; 95% confidence interval, 0.671 to 0.743). We then scored each previously characterized specimen as positive when two anti-SARS-COV-2 assays identified anti-SARS-CoV-2 IgG in the specimen. Using this composite reference standard approach, the sensitivity of the Abbott anti-S assay was 95.96% (95% confidence interval [CI], 93.27 to 97.63%). The specificity of the Abbott anti-S assay was 99.35% (95% CI, 99.21 to 99.46%). Our study provides context on the use of commonly used SARS-CoV-2 serologies in Canada and identifies how these assays qualitatively compare to newer commercial assays. Our next steps are to assess how well the Abbott anti-S assays quantitatively detect wild-type and SARS-CoV-2 variants of concern. IMPORTANCE We describe the qualitative test characteristics of the Abbott SARS-CoV-2 IgG II Quant assay against four other anti-SARS-CoV-2 IgG assays commonly used in Canada. Although there is no gold standard for identifying anti-SARS-CoV-2 seropositivity, aggregate standards can be used to assess seropositivity. In this study, we used a specimen bank of previously well-characterized specimens collected between April 2020 and March 2021. The Abbott anti-S assay showed the strongest qualitative relationship with a widely used laboratory-developed IgG assay for the SARS-CoV-2 receptor binding domain. Using the composite reference standard approach, we also showed that the Abbott anti-S assay was highly sensitive and specific. As new anti-SARS-CoV-2 assays are developed, it is important to compare their test characteristics against other assays that have been extensively used in prior research.
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Affiliation(s)
- Kento T. Abe
- Lunenfeld-Tanenbaum Research Institute at Mt. Sinai Hospital, Sinai Health, Toronto, Ontario, Canada
- Department of Molecular Genetics, University of Toronto, Toronto, Ontario, Canada
| | - Bhavisha Rathod
- Lunenfeld-Tanenbaum Research Institute at Mt. Sinai Hospital, Sinai Health, Toronto, Ontario, Canada
| | - Karen Colwill
- Department of Molecular Genetics, University of Toronto, Toronto, Ontario, Canada
- Treadwell Therapeutics, Toronto, Ontario, Canada
| | - Anne-Claude Gingras
- Lunenfeld-Tanenbaum Research Institute at Mt. Sinai Hospital, Sinai Health, Toronto, Ontario, Canada
- Department of Molecular Genetics, University of Toronto, Toronto, Ontario, Canada
| | - Ashleigh Tuite
- Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada
| | | | | | - Craig Jenkins
- COVID-19 Serological Screening Laboratory, Canadian Blood Services, Ottawa, Ontario, Canada
| | - Valerie Conrod
- COVID-19 Serological Screening Laboratory, Canadian Blood Services, Ottawa, Ontario, Canada
| | - Qi-Long Yi
- Epidemiology and Surveillance, Canadian Blood Services, Ottawa, Ontario, Canada
- School of Epidemiology and Public Health, University of Ottawa, Ottawa, Ontario, Canada
| | - Sheila F. O’Brien
- Epidemiology and Surveillance, Canadian Blood Services, Ottawa, Ontario, Canada
- School of Epidemiology and Public Health, University of Ottawa, Ottawa, Ontario, Canada
| | - Steven J. Drews
- Canadian Blood Services, Microbiology, Edmonton, Alberta, Canada
- Department of Laboratory Medicine and Pathology, University of Alberta, Edmonton, Alberta, Canada
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Tuite AR, Fisman D, Abe KT, Rathod B, Pasculescu A, Colwill K, Gingras AC, Yi QL, O’Brien SF, Drews SJ. Estimating SARS-CoV-2 Seroprevalence in Canadian Blood Donors, April 2020 to March 2021: Improving Accuracy with Multiple Assays. Microbiol Spectr 2022; 10:e0256321. [PMID: 35196819 PMCID: PMC8865569 DOI: 10.1128/spectrum.02563-21] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2021] [Accepted: 01/14/2022] [Indexed: 01/30/2023] Open
Abstract
We have previously used composite reference standards and latent class analysis (LCA) to evaluate the performance of laboratory assays in the presence of tarnished gold standards. Here, we apply these techniques to repeated, cross-sectional study of Canadian blood donors, whose sera underwent parallel testing with four separate SARS-CoV-2 antibody assays. We designed a repeated cross-sectional design with random cross-sectional sampling of all available retention samples (n = 1500/month) for a 12 -month period from April 2020 until March 2021. Each sample was evaluated for SARS-CoV-2 IgG antibodies using four assays an Abbott Architect assay targeting the nucleocapsid antigen (Abbott-NP, Abbott, Chicago IL) and three in-house IgG ELISAs recognizing distinct recombinant viral antigens: full-length spike glycoprotein (Spike), spike glycoprotein receptor binding domain (RBD) and nucleocapsid (NP). We used two analytic approaches to estimate SAR-CoV-2 seroprevalence: a composite reference standard and LCA. Using LCA to estimate true seropositivity status based on the results of the four antibody tests, we estimated that seroprevalence increased from 0.8% (95% CI: 0.5-1.4%) in April 2020 to 6.3% (95% CI: 5.1-7.6%) in March 2021. Our study provides further support for the use of LCA in upcoming public health crises, epidemics, and pandemics when a gold standard assay may not be available or identifiable. IMPORTANCE Here, we describe an approach to estimating seroprevalence in a low prevalence setting when multiple assays are available and yet no known gold standard exists. Because serological studies identify cases through both diagnostic testing and surveillance, and otherwise silent, unrecognized infections, serological data can be used to estimate the true infection fatality ratio of a disease. However, seroprevalence studies rely on assays with imperfect sensitivity and specificity. Seroreversion (loss of antibody response) also occurs over time, and with the advent of vaccination, distinction of antibody response resulting from vaccination as opposed to antibody response due to infection has posed an additional challenge. Our approach indicates that seroprevalence on Canadian blood donors by the end of March 2021was less than 10%. Our study supports the use of latent class analysis in upcoming public health crises, epidemics, and pandemics when a gold standard assay may not be available or identifiable.
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Affiliation(s)
- Ashleigh R. Tuite
- Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada
- Centre for Immunization Readiness, Public Health Agency of Canada, Ottawa, Ontario, Canada
| | - David Fisman
- Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada
| | - Kento T. Abe
- Lunenfeld-Tanenbaum Research Institute at Mt. Sinai Hospital, Sinai Health, Toronto, Ontario, Canada
- Department of Molecular Genetics, University of Toronto, Toronto, Ontario, Canada
| | - Bhavisha Rathod
- Lunenfeld-Tanenbaum Research Institute at Mt. Sinai Hospital, Sinai Health, Toronto, Ontario, Canada
| | - Adrian Pasculescu
- Lunenfeld-Tanenbaum Research Institute at Mt. Sinai Hospital, Sinai Health, Toronto, Ontario, Canada
| | - Karen Colwill
- Lunenfeld-Tanenbaum Research Institute at Mt. Sinai Hospital, Sinai Health, Toronto, Ontario, Canada
| | - Anne-Claude Gingras
- Lunenfeld-Tanenbaum Research Institute at Mt. Sinai Hospital, Sinai Health, Toronto, Ontario, Canada
- Department of Molecular Genetics, University of Toronto, Toronto, Ontario, Canada
| | - Qi-Long Yi
- Epidemiology and Surveillance, Canadian Blood Services, Ottawa, Ontario, Canada
- School of Epidemiology and Public Health, University of Ottawa, Ottawa, Ontario, Canada
| | - Sheila F. O’Brien
- Epidemiology and Surveillance, Canadian Blood Services, Ottawa, Ontario, Canada
- School of Epidemiology and Public Health, University of Ottawa, Ottawa, Ontario, Canada
| | - Steven J. Drews
- Canadian Blood Services, Microbiology, Edmonton, Alberta, Canada
- Department of Laboratory Medicine and Pathology, University of Alberta, Edmonton, Alberta, Canada
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Ismail G, Abdel Halim R, Mostafa MS, H Abdelhamid D, Abdelghaffar H, Omar NN, Fahim NAE. Comparative Evaluation of SARS-CoV-2 Rapid Immunochromatographic Test Assays with Chemiluminescent Immunoassay for the Diagnosis of COVID-19. Open Access Maced J Med Sci 2021. [DOI: 10.3889/oamjms.2021.7076] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022] Open
Abstract
Background
To date, the molecular assay is the gold-standard method for COVID-19 diagnosis. However, they are expensive and complex. There is a pressing necessity for developing other effective diagnostics for SARS‐CoV‐2 patients. Therefore, serological detection of antibodies against SARS‐CoV‐2 might provide a good alternative.
Aim
We aimed to compare and evaluate seven rapid diagnostic tests with Mindray chemiluminescent automated immunoassay as a reference method for SARS-CoV-2 antibodies detection.
Methods:
This study included the serum of a total of 49 attendees to the Reference Laboratory of Egyptian university hospitals during the period from April 2021 to May 2021. Anti-Covid-19 antibodies detection in serum samples was performed by Mindray fully automated system as our reference method and seven rapid antibody tests; Wondfo, Vazyme, Dynamiker, Panbio, Artron Maccura and Roche.
Results:
The chemiluminescent assay revealed 30 (61.2%) positive samples and 19 (38.8%) negative samples for COVID-19 IgG. For COVID-19 IgM, 11 (22.4%) samples were positive and 38 (77.6%) samples were negative. Anti-SARS-CoV-2 antibodies were not detected in any of the PCR negative individuals. The best diagnostic performance was demonstrated by Roche IgG and IgM, and Vazyme IgG and IgM antibody tests followed by Panbio. For Roche, the sensitivity and specificity for IgG and IgM were (83.3%, 89.5%) and (72.7%, 81.6%) respectively. Vazyme showed sensitivity and specificity for IgG and IgM were (77.8%, 85.7%) and (75%, 91.7%) respectively. Regards Panbio, the sensitivity and specificity for IgG and IgM were (63.6%, 87.5%) and (50%, 86.7%) respectively. Cohen’s Kappa values revealed a substantial agreement for Roche IgG, Vazyme IgG and IgM of (0.7076, 0.6250, 0.6667) respectively. The worst agreement was reported for Maccura IgG, Wondfo, and Dynamiker IgM with Cohen’s Kappa values of (0.2508, 0.1893, 0.0313) respectively.
Conclusions:
Rapid tests in our study exhibited heterogeneous diagnostic performances. Roche, Vazyme, and Panbio antibody tests showed promising results in concordance with our reference method with the best-reported results. On the other hand, the other tests were inferior and failed in providing valid and reliable results. Further studies are necessary to determine the practicality of these tests in different settings and communities.
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