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Nilles EJ, de St Aubin M, Dumas D, Duke W, Etienne MC, Abdalla G, Jarolim P, Oasan T, Garnier S, Iihoshi N, Lopez B, de la Cruz L, Puello YC, Baldwin M, Roberts KW, Peña F, Durski K, Sanchez IM, Gunter SM, Kneubehl AR, Murray KO, Lino A, Strobel S, Baez AA, Lau CL, Kucharski A, Gutiérrez EZ, Skewes-Ramm R, Vasquez M, Paulino CT. Monitoring Temporal Changes in SARS-CoV-2 Spike Antibody Levels and Variant-Specific Risk for Infection, Dominican Republic, March 2021-August 2022. Emerg Infect Dis 2023; 29:723-733. [PMID: 36848869 PMCID: PMC10045678 DOI: 10.3201/eid2904.221628] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [MESH Headings] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/01/2023] Open
Abstract
To assess changes in SARS-CoV-2 spike binding antibody prevalence in the Dominican Republic and implications for immunologic protection against variants of concern, we prospectively enrolled 2,300 patients with undifferentiated febrile illnesses in a study during March 2021-August 2022. We tested serum samples for spike antibodies and tested nasopharyngeal samples for acute SARS-CoV-2 infection using a reverse transcription PCR nucleic acid amplification test. Geometric mean spike antibody titers increased from 6.6 (95% CI 5.1-8.7) binding antibody units (BAU)/mL during March-June 2021 to 1,332 (95% CI 1,055-1,682) BAU/mL during May-August 2022. Multivariable binomial odds ratios for acute infection were 0.55 (95% CI 0.40-0.74), 0.38 (95% CI 0.27-0.55), and 0.27 (95% CI 0.18-0.40) for the second, third, and fourth versus the first anti-spike quartile; findings were similar by viral strain. Combining serologic and virologic screening might enable monitoring of discrete population immunologic markers and their implications for emergent variant transmission.
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Nilles EJ, Paulino CT, de St Aubin M, Duke W, Jarolim P, Sanchez IM, Murray KO, Lau CL, Gutiérrez EZ, Ramm RS, Vasquez M, Kucharski A. Tracking immune correlates of protection for emerging SARS-CoV-2 variants. Lancet Infect Dis 2023; 23:153-154. [PMID: 36640795 PMCID: PMC9833833 DOI: 10.1016/s1473-3099(23)00001-4] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/12/2022] [Revised: 12/20/2022] [Accepted: 12/21/2022] [Indexed: 01/13/2023]
Affiliation(s)
- Eric J Nilles
- Brigham and Women's Hospital, Boston, MA, USA; Harvard Medical School, Boston, MA, USA; Harvard Humanitarian Initiative, Cambridge, MA, USA.
| | | | - Michael de St Aubin
- Brigham and Women's Hospital, Boston, MA, USA; Harvard Humanitarian Initiative, Cambridge, MA, USA
| | - William Duke
- Pedro Henríquez Ureña National University, Santo Domingo, Dominican Republic
| | - Petr Jarolim
- Brigham and Women's Hospital, Boston, MA, USA; Harvard Medical School, Boston, MA, USA
| | | | - Kristy O Murray
- Baylor College of Medicine and Texas Children's Hospital, Houston, TX, USA
| | | | - Emily Zielinski Gutiérrez
- Centers for Disease Control and Prevention, Central America Regional Office, Guatemala City, Guatemala
| | - Ronald Skewes Ramm
- Ministry of Health and Social Assistance, Santo Domingo, Dominican Republic
| | | | - Adam Kucharski
- London School of Hygiene & Tropical Medicine, London, UK
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Nilles EJ, Paulino CT, de St Aubin M, Restrepo AC, Mayfield H, Dumas D, Finch E, Garnier S, Etienne MC, Iselin L, Duke W, Jarolim P, Oasan T, Yu J, Wan H, Peña F, Iihoshi N, Abdalla G, Lopez B, Cruz LDL, Henríquez B, Espinosa-Bode A, Puello YC, Durski K, Baldwin M, Baez AA, Merchant RC, Barouch DH, Skewes-Ramm R, Gutiérrez EZ, Kucharski A, Lau CL. SARS-CoV-2 seroprevalence, cumulative infections, and immunity to symptomatic infection - A multistage national household survey and modelling study, Dominican Republic, June-October 2021. Lancet Reg Health Am 2022; 16:100390. [PMID: 36408529 PMCID: PMC9642112 DOI: 10.1016/j.lana.2022.100390] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/11/2022] [Revised: 09/26/2022] [Accepted: 10/19/2022] [Indexed: 11/10/2022]
Abstract
Background Population-level SARS-CoV-2 immunological protection is poorly understood but can guide vaccination and non-pharmaceutical intervention priorities. Our objective was to characterise cumulative infections and immunological protection in the Dominican Republic. Methods Household members ≥5 years were enrolled in a three-stage national household cluster serosurvey in the Dominican Republic. We measured pan-immunoglobulin antibodies against the SARS-CoV-2 spike (anti-S) and nucleocapsid glycoproteins, and pseudovirus neutralising activity against the ancestral and B.1.617.2 (Delta) strains. Seroprevalence and cumulative prior infections were weighted and adjusted for assay performance and seroreversion. Binary classification machine learning methods and pseudovirus neutralising correlates of protection were used to estimate 50% and 80% protection against symptomatic infection. Findings Between 30 Jun and 12 Oct 2021 we enrolled 6683 individuals from 3832 households. We estimate that 85.0% (CI 82.1-88.0) of the ≥5 years population had been immunologically exposed and 77.5% (CI 71.3-83) had been previously infected. Protective immunity sufficient to provide at least 50% protection against symptomatic SARS-CoV-2 infection was estimated in 78.1% (CI 74.3-82) and 66.3% (CI 62.8-70) of the population for the ancestral and Delta strains respectively. Younger (5-14 years, OR 0.47 [CI 0.36-0.61]) and older (≥75-years, 0.40 [CI 0.28-0.56]) age, working outdoors (0.53 [0.39-0.73]), smoking (0.66 [0.52-0.84]), urban setting (1.30 [1.14-1.49]), and three vs no vaccine doses (18.41 [10.69-35.04]) were associated with 50% protection against the ancestral strain. Interpretation Cumulative infections substantially exceeded prior estimates and overall immunological exposure was high. After controlling for confounders, markedly lower immunological protection was observed to the ancestral and Delta strains across certain subgroups, findings that can guide public health interventions and may be generalisable to other settings and viral strains. Funding This study was funded by the US CDC.
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Affiliation(s)
- Eric J Nilles
- Division of Global Emergency Care and Humanitarian Studies, Brigham and Womens Hospital, Boston, MA, USA.,Harvard Medical School, Boston, MA, USA.,Infectious Diseases and Epidemics Program, Harvard Humanitarian Initiative, Cambridge, MA, USA
| | | | - Michael de St Aubin
- Division of Global Emergency Care and Humanitarian Studies, Brigham and Womens Hospital, Boston, MA, USA.,Infectious Diseases and Epidemics Program, Harvard Humanitarian Initiative, Cambridge, MA, USA
| | | | - Helen Mayfield
- School of Public Health, University of Queensland, Brisbane, Australia
| | - Devan Dumas
- Division of Global Emergency Care and Humanitarian Studies, Brigham and Womens Hospital, Boston, MA, USA.,Infectious Diseases and Epidemics Program, Harvard Humanitarian Initiative, Cambridge, MA, USA
| | - Emilie Finch
- Department of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, UK
| | - Salome Garnier
- Division of Global Emergency Care and Humanitarian Studies, Brigham and Womens Hospital, Boston, MA, USA.,Infectious Diseases and Epidemics Program, Harvard Humanitarian Initiative, Cambridge, MA, USA.,Harvard University, Cambridge, MA, USA
| | - Marie Caroline Etienne
- Division of Global Emergency Care and Humanitarian Studies, Brigham and Womens Hospital, Boston, MA, USA
| | | | - William Duke
- Pedro Henríquez Ureña National University, Santo Domingo, Dominican Republic
| | - Petr Jarolim
- Division of Global Emergency Care and Humanitarian Studies, Brigham and Womens Hospital, Boston, MA, USA.,Harvard Medical School, Boston, MA, USA
| | - Timothy Oasan
- Division of Global Emergency Care and Humanitarian Studies, Brigham and Womens Hospital, Boston, MA, USA
| | - Jingyou Yu
- Center for Virology and Vaccine Research, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA 02215, USA
| | - Huahua Wan
- Center for Virology and Vaccine Research, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA 02215, USA
| | - Farah Peña
- Ministry of Health and Social Assistance, Santo Domingo, Dominican Republic
| | - Naomi Iihoshi
- Division of Global Emergency Care and Humanitarian Studies, Brigham and Womens Hospital, Boston, MA, USA
| | - Gabriela Abdalla
- Division of Global Emergency Care and Humanitarian Studies, Brigham and Womens Hospital, Boston, MA, USA
| | - Beatriz Lopez
- Centers for Disease Control and Prevention, Central America Regional Office, Guatemala City, Guatemala
| | - Lucia de la Cruz
- Ministry of Health and Social Assistance, Santo Domingo, Dominican Republic
| | - Bernarda Henríquez
- Ministry of Health and Social Assistance, Santo Domingo, Dominican Republic
| | - Andres Espinosa-Bode
- Centers for Disease Control and Prevention, Central America Regional Office, Guatemala City, Guatemala
| | | | - Kara Durski
- Division of Global Emergency Care and Humanitarian Studies, Brigham and Womens Hospital, Boston, MA, USA
| | - Margaret Baldwin
- Division of Global Emergency Care and Humanitarian Studies, Brigham and Womens Hospital, Boston, MA, USA.,Infectious Diseases and Epidemics Program, Harvard Humanitarian Initiative, Cambridge, MA, USA
| | - Amado Alejandro Baez
- Ministry of Health and Social Assistance, Santo Domingo, Dominican Republic.,Pedro Henríquez Ureña National University, Santo Domingo, Dominican Republic
| | - Roland C Merchant
- Department of Emergency Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Dan H Barouch
- Center for Virology and Vaccine Research, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA 02215, USA
| | - Ronald Skewes-Ramm
- Ministry of Health and Social Assistance, Santo Domingo, Dominican Republic
| | - Emily Zielinski Gutiérrez
- Centers for Disease Control and Prevention, Central America Regional Office, Guatemala City, Guatemala
| | - Adam Kucharski
- Department of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, UK
| | - Colleen L Lau
- School of Public Health, University of Queensland, Brisbane, Australia
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Finch E, Lowe R, Fischinger S, de St Aubin M, Siddiqui SM, Dayal D, Loesche MA, Rhee J, Beger S, Hu Y, Gluck MJ, Mormann B, Hasdianda MA, Musk ER, Alter G, Menon AS, Nilles EJ, Kucharski AJ. SARS-CoV-2 antibodies protect against reinfection for at least 6 months in a multicentre seroepidemiological workplace cohort. PLoS Biol 2022; 20:e3001531. [PMID: 35143473 PMCID: PMC8865659 DOI: 10.1371/journal.pbio.3001531] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2021] [Revised: 02/23/2022] [Accepted: 01/07/2022] [Indexed: 11/28/2022] Open
Abstract
Identifying the potential for SARS-CoV-2 reinfection is crucial for understanding possible long-term epidemic dynamics. We analysed longitudinal PCR and serological testing data from a prospective cohort of 4,411 United States employees in 4 states between April 2020 and February 2021. We conducted a multivariable logistic regression investigating the association between baseline serological status and subsequent PCR test result in order to calculate an odds ratio for reinfection. We estimated an odds ratio for reinfection ranging from 0.14 (95% CI: 0.019 to 0.63) to 0.28 (95% CI: 0.05 to 1.1), implying that the presence of SARS-CoV-2 antibodies at baseline is associated with around 72% to 86% reduced odds of a subsequent PCR positive test based on our point estimates. This suggests that primary infection with SARS-CoV-2 provides protection against reinfection in the majority of individuals, at least over a 6-month time period. We also highlight 2 major sources of bias and uncertainty to be considered when estimating the relative risk of reinfection, confounders and the choice of baseline time point, and show how to account for both in reinfection analysis. Identifying the potential for SARS-CoV-2 reinfection is crucial for understanding possible long-term epidemic dynamics. Analysis of a seroepidemiological cohort suggests that primary infection with SARS-CoV-2 protects against reinfection in the majority of individuals, at least over a six month period.
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Affiliation(s)
- Emilie Finch
- Centre for Mathematical Modelling of Infectious Diseases, London School of Hygiene & Tropical Medicine, London, United Kingdom
- * E-mail:
| | - Rachel Lowe
- Centre for Mathematical Modelling of Infectious Diseases, London School of Hygiene & Tropical Medicine, London, United Kingdom
- Barcelona Supercomputing Center (BSC), Barcelona, Spain
- Catalan Institution for Research and Advanced Studies (ICREA), Barcelona, Spain
| | - Stephanie Fischinger
- Ragon Institute of MGH, MIT and Harvard, Cambridge, Massachusetts, United States of America
- Institut für HIV Forschung, Universität Duisburg-Essen, Duisburg, Germany
| | - Michael de St Aubin
- Harvard Humanitarian Initiative, Cambridge, Massachusetts, United States of America
| | - Sameed M. Siddiqui
- Computational and Systems Biology Program, Massachusetts Institute of Technology, Cambridge, Massachusetts, United States of America
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts, United States of America
| | - Diana Dayal
- Space Exploration Technologies Corp, Hawthorne, California, United States of America
| | - Michael A. Loesche
- Space Exploration Technologies Corp, Hawthorne, California, United States of America
- Brigham and Women’s Hospital, Boston, Massachusetts, United States of America
| | - Justin Rhee
- Space Exploration Technologies Corp, Hawthorne, California, United States of America
| | - Samuel Beger
- Space Exploration Technologies Corp, Hawthorne, California, United States of America
| | - Yiyuan Hu
- Space Exploration Technologies Corp, Hawthorne, California, United States of America
| | - Matthew J. Gluck
- Space Exploration Technologies Corp, Hawthorne, California, United States of America
| | - Benjamin Mormann
- Space Exploration Technologies Corp, Hawthorne, California, United States of America
| | | | - Elon R. Musk
- Space Exploration Technologies Corp, Hawthorne, California, United States of America
| | - Galit Alter
- Ragon Institute of MGH, MIT and Harvard, Cambridge, Massachusetts, United States of America
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts, United States of America
| | - Anil S. Menon
- Space Exploration Technologies Corp, Hawthorne, California, United States of America
| | - Eric J. Nilles
- Harvard Humanitarian Initiative, Cambridge, Massachusetts, United States of America
- Brigham and Women’s Hospital, Boston, Massachusetts, United States of America
| | - Adam J. Kucharski
- Centre for Mathematical Modelling of Infectious Diseases, London School of Hygiene & Tropical Medicine, London, United Kingdom
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Bartsch YC, Fischinger S, Siddiqui SM, Chen Z, Yu J, Gebre M, Atyeo C, Gorman MJ, Zhu AL, Kang J, Burke JS, Slein M, Gluck MJ, Beger S, Hu Y, Rhee J, Petersen E, Mormann B, Aubin MDS, Hasdianda MA, Jambaulikar G, Boyer EW, Sabeti PC, Barouch DH, Julg BD, Musk ER, Menon AS, Lauffenburger DA, Nilles EJ, Alter G. Discrete SARS-CoV-2 antibody titers track with functional humoral stability. Nat Commun 2021; 12:1018. [PMID: 33589636 PMCID: PMC7884400 DOI: 10.1038/s41467-021-21336-8] [Citation(s) in RCA: 58] [Impact Index Per Article: 19.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2020] [Accepted: 01/20/2021] [Indexed: 02/03/2023] Open
Abstract
Antibodies serve as biomarkers of infection, but if sustained can confer long-term immunity. Yet, for most clinically approved vaccines, binding antibody titers only serve as a surrogate of protection. Instead, the ability of vaccine induced antibodies to neutralize or mediate Fc-effector functions is mechanistically linked to protection. While evidence has begun to point to persisting antibody responses among SARS-CoV-2 infected individuals, cases of re-infection have begun to emerge, calling the protective nature of humoral immunity against this highly infectious pathogen into question. Using a community-based surveillance study, we aimed to define the relationship between titers and functional antibody activity to SARS-CoV-2 over time. Here we report significant heterogeneity, but limited decay, across antibody titers amongst 120 identified seroconverters, most of whom had asymptomatic infection. Notably, neutralization, Fc-function, and SARS-CoV-2 specific T cell responses were only observed in subjects that elicited RBD-specific antibody titers above a threshold. The findings point to a switch-like relationship between observed antibody titer and function, where a distinct threshold of activity-defined by the level of antibodies-is required to elicit vigorous humoral and cellular response. This response activity level may be essential for durable protection, potentially explaining why re-infections occur with SARS-CoV-2 and other common coronaviruses.
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Affiliation(s)
| | - Stephanie Fischinger
- Ragon Institute of MGH, MIT and Harvard, Cambridge, MA, USA
- Institut für HIV Forschung, Universität Duisburg-Essen, Duisburg, Germany
| | - Sameed M Siddiqui
- Computational and Systems Biology Program, Massachusetts Institute of Technology, Cambridge, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Zhilin Chen
- Ragon Institute of MGH, MIT and Harvard, Cambridge, MA, USA
| | - Jingyou Yu
- Ragon Institute of MGH, MIT and Harvard, Cambridge, MA, USA
- Center for Virology and Vaccine Research, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
| | - Makda Gebre
- Ragon Institute of MGH, MIT and Harvard, Cambridge, MA, USA
- Center for Virology and Vaccine Research, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
| | - Caroline Atyeo
- Ragon Institute of MGH, MIT and Harvard, Cambridge, MA, USA
| | | | - Alex Lee Zhu
- Ragon Institute of MGH, MIT and Harvard, Cambridge, MA, USA
| | - Jaewon Kang
- Ragon Institute of MGH, MIT and Harvard, Cambridge, MA, USA
| | - John S Burke
- Ragon Institute of MGH, MIT and Harvard, Cambridge, MA, USA
| | - Matthew Slein
- Ragon Institute of MGH, MIT and Harvard, Cambridge, MA, USA
| | - Matthew J Gluck
- Space Exploration Technologies Corp, Hawthorne, CA, USA
- Icahn School of Medicine at Mount Sinai, Nw York, USA
| | - Samuel Beger
- Space Exploration Technologies Corp, Hawthorne, CA, USA
| | - Yiyuan Hu
- Space Exploration Technologies Corp, Hawthorne, CA, USA
| | - Justin Rhee
- Space Exploration Technologies Corp, Hawthorne, CA, USA
| | - Eric Petersen
- Space Exploration Technologies Corp, Hawthorne, CA, USA
| | | | | | | | | | | | - Pardis C Sabeti
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Harvard T.H. Chan School of Public Health, Cambridge, MA, USA
- Howard Hughes Medical Institute, Chevy Chase, MD, USA
- Massachusetts Consortium on Pandemic Readiness, Cambridge, MA, USA
| | - Dan H Barouch
- Ragon Institute of MGH, MIT and Harvard, Cambridge, MA, USA
- Center for Virology and Vaccine Research, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
- Massachusetts Consortium on Pandemic Readiness, Cambridge, MA, USA
| | - Boris D Julg
- Ragon Institute of MGH, MIT and Harvard, Cambridge, MA, USA
| | - Elon R Musk
- Space Exploration Technologies Corp, Hawthorne, CA, USA
| | - Anil S Menon
- Space Exploration Technologies Corp, Hawthorne, CA, USA.
| | - Douglas A Lauffenburger
- Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA.
| | | | - Galit Alter
- Ragon Institute of MGH, MIT and Harvard, Cambridge, MA, USA.
- Massachusetts Consortium on Pandemic Readiness, Cambridge, MA, USA.
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