ArticleScientific reports2021
Longitudinal analysis of antibody decay in convalescent COVID-19 patients.
Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
What it found
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Who cites it
19 citing papers in PubMed, 31 citations in OpenAlex.
- Longitudinal analysis of passively and actively acquired SARS-CoV-2 antibodies in infants with repeat newborn screening samples.Scientific reports · 2025Article
- Single-cell transcriptome profile during the antibody decline phase following inactivated COVID-19 vaccination.Frontiers in cellular and infection microbiology · 2025Article
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- Durability of immunity and clinical protection in nursing home residents following bivalent SARS-CoV-2 vaccination.EBioMedicine · 2024Article
- Blood metal analysis of plasmas from donors with and without SARS-CoV-2 using laser-induced breakdown spectroscopy and logistic regression.Biomedical optics express · 2024Article
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- Antibody response after first and second BNT162b2 vaccination to predict the need for subsequent injections in nursing home residents.Scientific reports · 2022Article
- A CRISPR-based ultrasensitive assay detects attomolar concentrations of SARS-CoV-2 antibodies in clinical samples.Nature communications · 2022Article
- Evidence of previous SARS-CoV-2 infection in seronegative patients with long COVID.EBioMedicine · 2022Article
- Article
- Untangling the changing impact of non-pharmaceutical interventions and vaccination on European COVID-19 trajectories.Nature communications · 2022Article
- Longitudinal kinetics of RBD+ antibodies in COVID-19 recovered patients over 14 months.PLoS pathogens · 2022Article
- Observational
- Humoral Response to BNT162b2 Vaccine Against SARS-CoV-2 Variants Decays After Six Months.Frontiers in immunology · 2022Article
- Longitudinal Tracking of Immune Responses in COVID-19 Convalescents Reveals Absence of Neutralization Activity Against Omicron and Staggered Impairment to Other SARS-CoV-2 Variants of Concern.Frontiers in immunology · 2022Article
- T cell immune responses to SARS-CoV-2 and variants of concern (Alpha and Delta) in infected and vaccinated individuals.Cellular & molecular immunology · 2021Article
- Article
- Results of Serosurveillance and Forecasting the Third Wave of COVID-19 in an Industrial District in India.Cureus · 2021Article
Corrections and comments
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Authors and funding
7 authors at 5 institutions in 2 countries.
Funding
Abstract
Determining the sustainability of antibodies targeting severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is essential for predicting immune response against the Coronavirus disease 2019 (COVID-19). To quantify the antibody decay rates among the varying levels of anti-nucleocapsid (anti-N) Immunoglobulin G (IgG) in convalescent COVID-19 patients and estimate the length of time they maintained SARS-CoV-2 specific antibodies, we have collected longitudinal blood samples from 943 patients over the course of seven months after their initial detection of SARS-CoV-2 virus by RT-PCR. Anti-N IgG levels were then quantified in these blood samples. The primary study outcome was the comparison of antibody decay rates from convalescent patients with high or low initial levels of antibodies using a mixed linear model. Additional measures include the length of time that patients maintain sustainable levels of anti-N IgG. Antibody quantification of blood samples donated by the same subject multiple times shows a gradual decrease of IgG levels to the cutoff index level of 1.4 signal/cut-off (S/C) on the Abbott Architect SARS-CoV-2 IgG test. In addition, this study shows that antibody reduction rate is dependent on initial IgG levels, and patients with initial IgG levels above 3 S/C show a significant 1.68-fold faster reduction rate compared to those with initial IgG levels below 3 S/C. For a majority of the donors naturally occurring anti-N antibodies were detected above the threshold for only four months after infection with SARS-CoV-2. This study is clinically important for the prediction of immune response capacity in COVID-19 patients.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.