Cited by 266SARS-CoV-2 and COVID-19 ResearchCOVID-19 Clinical Research StudiesSARS-CoV-2 detection and testing

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Dynamics of Neutralizing Antibody Titers in the Months After Severe Acute Respiratory Syndrome Coronavirus 2 Infection

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Abstract

Most individuals infected with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) develop neutralizing antibodies that target the viral spike protein. In this study, we quantified how levels of these antibodies change in the months after SARS-CoV-2 infection by examining longitudinal samples collected approximately 30–152 days after symptom onset from a prospective cohort of 32 recovered individuals with asymptomatic, mild, or moderate-severe disease. Neutralizing antibody titers declined an average of about 4-fold from 1 to 4 months after symptom onset. This decline in neutralizing antibody titers was accompanied by a decline in total antibodies capable of binding the viral spike protein or its receptor-binding domain. Importantly, our data are consistent with the expected early immune response to viral infection, where an initial peak in antibody levels is followed by a decline to a lower plateau. Additional studies of long-lived B cells and antibody titers over longer time frames are necessary to determine the durability of immunity to SARS-CoV-2.

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Crossref · 10.1093/infdis/jiaa618

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Figures

Figure 1. Change in neutralizing antibody titer over time. A, Neutralizing antibody titer at 50% inhibition (NT50) for each individual in the study, with facets colored according to disease severity (see key below plot). Facet titles indicate sex (F, female; M, male), age, and participant identifier (PID). Dashed blue line indicates the limit of detection for our assay (NT50 = 20). B, Fold change in NT50 compared with 30-day time point, including only individuals with a neutralizing sample at day 30. P values were calculated using the Wilcoxon signed rank test. C, Distribution of NT50 values at the 3 time points, with box plots colored by disease severity and the blue dashed line indicating the limit of detection as in panel A. P values are indicated when there is a significant difference (P ≤ 0.05) between NT50 values for different disease severity categories at a time point and were calculated using the Wilcoxon rank sum test.
Figure 1. Change in neutralizing antibody titer over time. A, Neutralizing antibody titer at 50% inhibition (NT50) for each individual in the study, with facets colored according to disease severity (see key below plot). Facet titles indicate sex (F, female; M, male), age, and participant identifier (PID). Dashed blue line indicates the limit of detection for our assay (NT50 = 20). B, Fold change in NT50 compared with 30-day time point, including only individuals with a neutralizing sample at day 30. P values were calculated using the Wilcoxon signed rank test. C, Distribution of NT50 values at the 3 time points, with box plots colored by disease severity and the blue dashed line indicating the limit of detection as in panel A. P values are indicated when there is a significant difference (P ≤ 0.05) between NT50 values for different disease severity categories at a time point and were calculated using the Wilcoxon rank sum test.CC BY · PubMed Central
Figure 2. Immunoglobulin (Ig) A, IgM, and IgG antibody binding titers over time. A, Longitudinal binding antibody titers for each individual as quantified by area under the curve (AUC) of enzyme-linked immunosorbent assays (ELISAs). Facets are arranged by maximal neutralizing antibody titer at 50% inhibition (NT50) from top left to bottom right, as in Figure 1A. Dashed lines indicate the AUC value for the negative control sample (2017–2018 serum sample pool) for each assay, colored by assay. Abbreviations: F, female; M, male; PID, participant identifier; RBD, receptor-binding domain. B, Correlation plots between AUC for each ELISA and neutralization titer (NT50) for all samples. Vertical dashed line indicates the limit of detection for the neutralization assay; horizontal dashed lines, the AUC values for the negative control sample (2017–2018 serum sample pool) for each assay, colored based on the assay as in A. C, For each antibody type measured, individuals who were symptomatic and required hospitalization as part of their care had significantly higher antibody levels during the first 1–2 months after symptom onset. *P ≤ .05; †P ≤ .01. P values were calculated using the Wilcoxon rank sum test. As in A and B, the dashed line in each facet indicates the AUC value for the negative control sample for each assay, colored by assay.
Figure 2. Immunoglobulin (Ig) A, IgM, and IgG antibody binding titers over time. A, Longitudinal binding antibody titers for each individual as quantified by area under the curve (AUC) of enzyme-linked immunosorbent assays (ELISAs). Facets are arranged by maximal neutralizing antibody titer at 50% inhibition (NT50) from top left to bottom right, as in Figure 1A. Dashed lines indicate the AUC value for the negative control sample (2017–2018 serum sample pool) for each assay, colored by assay. Abbreviations: F, female; M, male; PID, participant identifier; RBD, receptor-binding domain. B, Correlation plots between AUC for each ELISA and neutralization titer (NT50) for all samples. Vertical dashed line indicates the limit of detection for the neutralization assay; horizontal dashed lines, the AUC values for the negative control sample (2017–2018 serum sample pool) for each assay, colored based on the assay as in A. C, For each antibody type measured, individuals who were symptomatic and required hospitalization as part of their care had significantly higher antibody levels during the first 1–2 months after symptom onset. *P ≤ .05; †P ≤ .01. P values were calculated using the Wilcoxon rank sum test. As in A and B, the dashed line in each facet indicates the AUC value for the negative control sample for each assay, colored by assay.CC BY · PubMed Central

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Metadata

Authors
Crawford, K. H. D., Dingens, A. S., Eguia, R., Wolf, C. R., Wilcox, N., Logue, J. K., Shuey, K., Casto, A. M., Fiala, B., Wrenn, S., Pettie, D., King, N. P., Greninger, A. L., Chu, H. Y., & Bloom, J. D.
Affiliations
  • University of Washington (US)
  • Fred Hutch Cancer Center (US)
  • Howard Hughes Medical Institute (US)
Corresponding author
  • Chu, Helen Y
  • Bloom, Jesse D
Venue
The Journal of Infectious Diseases
Published
2020-09-30
Volume
223
Issue
2
Pages
197-205
ISSN
  • 0022-1899 (ISSN-L)
  • 1537-6613
OpenAlex
W3091039991
Cited by
265
References
53
Citations by year
2026: 5 · 2025: 13 · 2024: 16 · 2023: 32 · 2022: 58 · 2021: 120 · 2020: 21
FWCI
7.58
Type
journal article
Language
en
Open access
Locations
  • The Journal of Infectious Diseases (publishedVersion, cc-by)
  • medRxiv (acceptedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
Funders
  • National Institute of Allergy and Infectious Diseases (R01AI141707, F30AI149928)
  • National Institutes of Health
  • Bill and Melinda Gates Foundation (OPP1156262)
  • Burroughs Wellcome Fund
Topics
  • Health Sciences › Medicine › Infectious Diseases › SARS-CoV-2 and COVID-19 Research
  • Health Sciences › Medicine › Infectious Diseases › COVID-19 Clinical Research Studies
  • Health Sciences › Medicine › Infectious Diseases › SARS-CoV-2 detection and testing
Keywords
SARS-CoV-2, COVID-19 pandemic, neutralizing antibodies, antibody titer decline, spike protein, receptor binding domain, humoral immune response, long-term immunity, asymptomatic infection
MeSH terms
COVID-19, SARS-CoV-2, Adult, Aged, Antibodies, Viral, Female, Humans, Male, Middle Aged, Prospective Studies, Time Factors, Young Adult, Antibodies, Neutralizing, Spike Glycoprotein, Coronavirus

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