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de Aguirre PM, Carlos S, Pina-Sánchez M, Mbikayi S, Burgueño E, Tendobi C, Chiva L, Holguín Á, Reina G. High pre-Delta and early-Omicron SARS-CoV-2 seroprevalence detected in dried blood samples from Kinshasa (D.R. Congo). J Med Virol 2024; 96:e29529. [PMID: 38516764 DOI: 10.1002/jmv.29529] [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: 08/19/2023] [Revised: 02/02/2024] [Accepted: 03/01/2024] [Indexed: 03/23/2024]
Abstract
Studies on the impact of the COVID-19 pandemic in sub-Saharan Africa have yielded varying results, although authors universally agree the real burden surpasses reported cases. The primary objective of this study was to determine SARS-CoV-2 seroprevalence among patients attending Monkole Hospital in Kinshasa (D.R. Congo). The secondary objective was to evaluate the analytic performance of two chemiluminescence platforms: Elecsys® (Roche) and VirClia® (Vircell) on dried blood spot samples (DBS). The study population (N = 373) was recruited in two stages: a mid-2021 blood donor cohort (15.5% women) and a mid-2022 women cohort. Crude global seroprevalence was 61% (53.9%-67.8%) pre-Delta in 2021 and 90.2% (84.7%-94.2%) post-Omicron in 2022. Anti-spike (S) antibody levels significantly increased from 53.1 (31.8-131.3) U/mL in 2021 to 436.5 (219.3-950.5) U/mL in 2022 and were significantly higher above 45 years old in the 2022 population. Both platforms showed good analytic performance on DBS samples: sensitivity was 96.8% for IgG (antiN/S) (93.9%-98.5%) and 96.0% (93.0%-98.0%) for anti-S quantification. These results provide additional support for the notion that exposure to SARS-CoV-2 is more widespread than indicated by case-based surveillance and will be able to guide the pandemic response and strategy moving forward. Likewise, this study contributes evidence to the reliability of DBS as a tool for serological testing and diagnosis in resource-limited settings.
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Affiliation(s)
| | - Silvia Carlos
- Department of Preventive Medicine and Public Health, Universidad de Navarra, Pamplona, Spain
- Instituto de Investigación Sanitaria de Navarra (IdiSNA) Irunlarrea, 3, Pamplona, Spain
| | | | - Samclide Mbikayi
- Centre Hospitalier Monkole, Kinshasa, Democratic Republic of Congo
| | - Eduardo Burgueño
- Centre Hospitalier Monkole, Kinshasa, Democratic Republic of Congo
| | - Céline Tendobi
- Centre Hospitalier Monkole, Kinshasa, Democratic Republic of Congo
| | - Luis Chiva
- Clínica Universidad de Navarra, Pamplona, Spain
| | - África Holguín
- Laboratorio Epidemiología Molecular VIH-1, Hospital Ramón y Cajal -IRYCIS y CIBERESP-RITIP, Madrid, Spain
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Berry AA, Tjaden AH, Renteria J, Friedman-Klabanoff D, Hinkelman AN, Gibbs MA, Ahmed A, Runyon MS, Schieffelin J, Santos RP, Oberhelman R, Bott M, Correa A, Edelstein SL, Uschner D, Wierzba TF. Persistence of antibody responses to COVID-19 vaccines among participants in the COVID-19 Community Research Partnership. Vaccine X 2023; 15:100371. [PMID: 37649617 PMCID: PMC10462856 DOI: 10.1016/j.jvacx.2023.100371] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2023] [Accepted: 08/10/2023] [Indexed: 09/01/2023] Open
Abstract
Introduction High levels of immunity to SARS-CoV-2 in the community correlate with protection from COVID-19 illness. Measuring COVID-19 antibody seroprevalence and persistence may elucidate the level and length of protection afforded by vaccination and infection within a population. Methods We measured the duration of detectable anti-spike antibodies following COVID-19 vaccination in a multistate, longitudinal cohort study of almost 13,000 adults who completed daily surveys and submitted monthly dried blood spots collected at home. Results Overall, anti-spike antibodies persisted up to 284 days of follow-up with seroreversion occurring in only 2.4% of the study population. In adjusted analyses, risk of seroreversion increased with age (adults aged 55-64: adjusted hazard ratio [aHR] 2.19 [95% confidence interval (CI): 1.22, 3.92] and adults aged > 65: aHR 3.59 [95% CI: 2.07, 6.20] compared to adults aged 18-39). Adults with diabetes had a higher risk of seroreversion versus nondiabetics (aHR 1.77 [95% CI: 1.29, 2.44]). Decreased risk of seroreversion was shown for non-Hispanic Black versus non-Hispanic White (aHR 0.32 [95% CI: 0.13, 0.79]); college degree earners versus no college degree (aHR 0.61 [95% CI: 0.46, 0.81]); and those who received Moderna mRNA-1273 vaccine versus Pfizer-BioNTech BNT162b2 (aHR 0.35 [95% CI: 0.26, 0.47]). An interaction between healthcare worker occupation and sex was detected, with seroreversion increased among male, non-healthcare workers. Conclusion We established that a remote, longitudinal, multi-site study can reliably detect antibody durability following COVID-19 vaccination. The survey platform and measurement of antibody response using at-home collection at convenient intervals allowed us to explore sociodemographic factors and comorbidities and identify predictors of antibody persistence, which has been demonstrated to correlate with protection against disease. Our findings may help inform public health interventions and policies to protect those at highest risk for severe illness and assist in determining the optimal timing of booster doses.Clinical trials registry: NCT04342884.
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Affiliation(s)
- Andrea A. Berry
- Department of Pediatrics, Center for Vaccine Development and Global Health, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Ashley H. Tjaden
- The Biostatistics Center, Milken Institute School of Public Health, George Washington University, Rockville, MD, USA
| | - Jone Renteria
- The Biostatistics Center, Milken Institute School of Public Health, George Washington University, Rockville, MD, USA
| | - DeAnna Friedman-Klabanoff
- Department of Pediatrics, Center for Vaccine Development and Global Health, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Amy N. Hinkelman
- Jerry M. Wallace School of Osteopathic Medicine, Campbell University, Lillington, NC, USA
| | | | | | | | - John Schieffelin
- Department of Pediatrics, Tulane University School of Medicine, New Orleans, LA, USA
| | | | - Richard Oberhelman
- Department of Pediatrics, Tulane University School of Medicine, New Orleans, LA, USA
| | - Matthew Bott
- The Biostatistics Center, Milken Institute School of Public Health, George Washington University, Rockville, MD, USA
| | - Adolfo Correa
- University of Mississippi Medical Center, Jackson, MS, USA
| | - Sharon L. Edelstein
- The Biostatistics Center, Milken Institute School of Public Health, George Washington University, Rockville, MD, USA
| | - Diane Uschner
- The Biostatistics Center, Milken Institute School of Public Health, George Washington University, Rockville, MD, USA
| | - Thomas F. Wierzba
- Section on Infectious Diseases, Department of Internal Medicine, Wake Forest University School of Medicine, Winston Salem, NC, USA
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Plumb ID, Fette LM, Tjaden AH, Feldstein L, Saydah S, Ahmed A, Link-Gelles R, Wierzba TF, Berry AA, Friedman-Klabanoff D, Larsen MP, Runyon MS, Ward LM, Santos RP, Ward J, Weintraub WS, Edelstein S, Uschner D. Estimated COVID-19 vaccine effectiveness against seroconversion from SARS-CoV-2 Infection, March-October, 2021. Vaccine 2023; 41:2596-2604. [PMID: 36932031 PMCID: PMC9995303 DOI: 10.1016/j.vaccine.2023.03.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2022] [Revised: 03/02/2023] [Accepted: 03/03/2023] [Indexed: 03/11/2023]
Abstract
BACKGROUND Monitoring the effectiveness of COVID-19 vaccines against SARS-CoV-2 infections remains important to inform public health responses. Estimation of vaccine effectiveness (VE) against serological evidence of SARS-CoV-2 infection might provide an alternative measure of the benefit of vaccination against infection. METHODS We estimated mRNA COVID-19 vaccine effectiveness (VE) against development of SARS-CoV-2 anti-nucleocapsid antibodies in March-October 2021, during which the Delta variant became predominant. Participants were enrolled from four participating healthcare systems in the United States, and completed electronic surveys that included vaccination history. Dried blood spot specimens collected on a monthly basis were analyzed for anti-spike antibodies, and, if positive, anti-nucleocapsid antibodies. We used detection of new anti-nucleocapsid antibodies to indicate SARS-CoV-2 infection, and estimated VE by comparing 154 case-participants with new detection of anti-nucleocapsid antibodies to 1,540 seronegative control-participants matched by calendar period. Using conditional logistic regression, we estimated VE ≥ 14 days after the 2nd dose of an mRNA vaccine compared with no receipt of a COVID-19 vaccine dose, adjusting for age group, healthcare worker occupation, urban/suburban/rural residence, healthcare system region, and reported contact with a person testing positive for SARS-CoV-2. RESULTS Among individuals who completed a primary series, estimated VE against seroconversion from SARS-CoV-2 infection was 88.8% (95% confidence interval [CI], 79.6%-93.9%) after any mRNA vaccine, 87.8% (95% CI, 75.9%-93.8%) after BioNTech vaccine and 91.7% (95% CI, 75.7%-97.2%) after Moderna vaccine. VE was estimated to be lower ≥ 3 months after dose 2 compared with < 3 months after dose 2, and among participants who were older or had underlying health conditions, although confidence intervals overlapped between subgroups. CONCLUSIONS VE estimates generated using infection-induced antibodies were consistent with published estimates from clinical trials and observational studies that used virologic tests to confirm infection during the same period. Our findings support recommendations for eligible adults to remain up to date with COVID-19 vaccination.
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Affiliation(s)
- Ian D Plumb
- Centers for Disease Control and Prevention, 1600 Clifton Road, Atlanta, GA 30333, USA.
| | - Lida M Fette
- Biostatistics Center, Milken Institute School of Public Health, The George Washington University, 6110 Executive Blvd., Suite 750, Rockville, MD 20852, USA
| | - Ashley H Tjaden
- Biostatistics Center, Milken Institute School of Public Health, The George Washington University, 6110 Executive Blvd., Suite 750, Rockville, MD 20852, USA
| | - Leora Feldstein
- Centers for Disease Control and Prevention, 1600 Clifton Road, Atlanta, GA 30333, USA
| | - Sharon Saydah
- Centers for Disease Control and Prevention, 1600 Clifton Road, Atlanta, GA 30333, USA
| | - Amina Ahmed
- Atrium Health Levine Children's Hospital, 1000 Blythe Blvd, Charlotte, NC 28203, USA
| | - Ruth Link-Gelles
- Centers for Disease Control and Prevention, 1600 Clifton Road, Atlanta, GA 30333, USA
| | - Thomas F Wierzba
- Department of Internal Medicine, Wake Forest School of Medicine, Winston-Salem, NC 27157, USA
| | - Andrea A Berry
- Center for Vaccine Development and Global Health, University of Maryland School of Medicine, 685 W. Baltimore Street, Room 480, Baltimore, MD 21201, USA
| | - DeAnna Friedman-Klabanoff
- Center for Vaccine Development and Global Health, University of Maryland School of Medicine, 685 W. Baltimore Street, Room 480, Baltimore, MD 21201, USA
| | - Moira P Larsen
- Medstar Health Research Institute, 6525 Belcrest Road, Suite 700, Hyattsville, MD 20782, USA
| | - Michael S Runyon
- Department of Emergency Medicine, Atrium Health Carolinas Medical Center, 1000 Blythe Blvd, Charlotte, NC 28203, USA
| | - Lori M Ward
- University of Mississippi Medical Center, 2500 N State St, Jackson, MS 39216, USA
| | - Roberto P Santos
- University of Mississippi Medical Center, 2500 N State St, Jackson, MS 39216, USA
| | - Johnathan Ward
- Vysnova Partners, 8400 Corporate Drive Suite 130, Landover, MD 20785, USA
| | - William S Weintraub
- Medstar Health Research Institute, 6525 Belcrest Road, Suite 700, Hyattsville, MD 20782, USA
| | - Sharon Edelstein
- Biostatistics Center, Milken Institute School of Public Health, The George Washington University, 6110 Executive Blvd., Suite 750, Rockville, MD 20852, USA
| | - Diane Uschner
- Biostatistics Center, Milken Institute School of Public Health, The George Washington University, 6110 Executive Blvd., Suite 750, Rockville, MD 20852, USA
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Ludolf F, Ramos FF, Bagno FF, Oliveira-da-Silva JA, Reis TAR, Christodoulides M, Vassallo PF, Ravetti CG, Nobre V, da Fonseca FG, Coelho EAF. Detecting anti-SARS-CoV-2 antibodies in urine samples: A noninvasive and sensitive way to assay COVID-19 immune conversion. SCIENCE ADVANCES 2022; 8:eabn7424. [PMID: 35559681 PMCID: PMC9106288 DOI: 10.1126/sciadv.abn7424] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/16/2021] [Accepted: 03/31/2022] [Indexed: 05/31/2023]
Abstract
Serum-based ELISA (enzyme-linked immunosorbent assay) has been widely used to detect anti-severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) antibodies. However, to date, no study has investigated patient urine as a biological sample to detect SARS-CoV-2 virus-specific antibodies. An in-house urine-based ELISA was developed using recombinant SARS-CoV-2 nucleocapsid protein. The presence of SARS-CoV-2 antibodies in urine was established, with 94% sensitivity and 100% specificity for the detection of anti-SARS-CoV-2 antibodies with the urine-based ELISA and 88% sensitivity and 100% specificity with a paired serum-based ELISA. The urine-based ELISA that detects anti-SARS-CoV-2 antibodies is a noninvasive method with potential application as a facile COVID-19 immunodiagnostic platform, which can be used to report the extent of exposure at the population level and/or to assess the risk of infection at the individual level.
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Affiliation(s)
- Fernanda Ludolf
- Programa de Pós-Graduação em Ciências da Saúde, Infectologia e Medicina Tropical, Faculdade de Medicina, Universidade Federal de Minas Gerais, Belo Horizonte 30.130-100, Minas Gerais, Brazil
| | - Fernanda F. Ramos
- Programa de Pós-Graduação em Ciências da Saúde, Infectologia e Medicina Tropical, Faculdade de Medicina, Universidade Federal de Minas Gerais, Belo Horizonte 30.130-100, Minas Gerais, Brazil
| | - Flávia F. Bagno
- Laboratório de Virologia Básica e Aplicada, Departamento de Microbiologia, Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais, Belo Horizonte 31.270-901, Minas Gerais, Brazil
- Centro de Tecnologia em Vacinas (CT Vacinas), BH-Tec, Universidade Federal de Minas Gerais, Belo Horizonte 30.130-100, Minas Gerais, Brazil
| | - João A. Oliveira-da-Silva
- Programa de Pós-Graduação em Ciências da Saúde, Infectologia e Medicina Tropical, Faculdade de Medicina, Universidade Federal de Minas Gerais, Belo Horizonte 30.130-100, Minas Gerais, Brazil
| | - Thiago A. R. Reis
- Programa de Pós-Graduação em Ciências da Saúde, Infectologia e Medicina Tropical, Faculdade de Medicina, Universidade Federal de Minas Gerais, Belo Horizonte 30.130-100, Minas Gerais, Brazil
| | - Myron Christodoulides
- Neisseria Research Group, Molecular Microbiology, School of Clinical and Experimental Sciences, University of Southampton Faculty of Medicine, Southampton General Hospital, Southampton SO16 6YD, UK
| | - Paula F. Vassallo
- Hospital das Clínicas, Universidade Federal de Minas Gerais, Belo Horizonte 30.130-100, Minas Gerais, Brazil
| | - Cecilia G. Ravetti
- Departamento de Clínica Médica, Faculdade de Medicina, Universidade Federal de Minas Gerais, Belo Horizonte 30.130-100, Minas Gerais, Brazil
| | - Vandack Nobre
- Programa de Pós-Graduação em Ciências da Saúde, Infectologia e Medicina Tropical, Faculdade de Medicina, Universidade Federal de Minas Gerais, Belo Horizonte 30.130-100, Minas Gerais, Brazil
- Departamento de Clínica Médica, Faculdade de Medicina, Universidade Federal de Minas Gerais, Belo Horizonte 30.130-100, Minas Gerais, Brazil
| | - Flavio G. da Fonseca
- Laboratório de Virologia Básica e Aplicada, Departamento de Microbiologia, Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais, Belo Horizonte 31.270-901, Minas Gerais, Brazil
- Centro de Tecnologia em Vacinas (CT Vacinas), BH-Tec, Universidade Federal de Minas Gerais, Belo Horizonte 30.130-100, Minas Gerais, Brazil
| | - Eduardo A. F. Coelho
- Programa de Pós-Graduação em Ciências da Saúde, Infectologia e Medicina Tropical, Faculdade de Medicina, Universidade Federal de Minas Gerais, Belo Horizonte 30.130-100, Minas Gerais, Brazil
- Departamento de Patologia Clínica, COLTEC, Universidade Federal de Minas Gerais, Belo Horizonte 31.270-901, Minas Gerais, Brazil
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