Evidence map›Paper›PMID 39852840›Full record

ArticleVaccines2025

Tracking Immunity: An Increased Number of COVID-19 Boosters Increases the Longevity of Anti-RBD and Anti-RBD-Neutralizing Antibodies.

Ching-Wen Hou, Stacy Williams, Veronica Boyle, Alexa Roeder, Bradley Bobbett, Izamar Garcia, Giavanna Caruth, Mitch Magee, Yunro Chung, Douglas F Lake and 2 more

Abstract read
In one paragraph

Article in Vaccines, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Ching-Wen HouVirginia G. Piper Center for Personalized Diagnostics, Biodesign Institute, Arizona State University, Tempe, AZ 85281, USA.ORCID 0009-0009-1298-7627
Stacy WilliamsVirginia G. Piper Center for Personalized Diagnostics, Biodesign Institute, Arizona State University, Tempe, AZ 85281, USA.ORCID 0000-0002-0328-6548
Veronica BoyleVirginia G. Piper Center for Personalized Diagnostics, Biodesign Institute, Arizona State University, Tempe, AZ 85281, USA.ORCID 0009-0001-8263-4773
Alexa RoederSchool of Life Sciences, Arizona State University, Phoenix, AZ 85004, USA.ORCID 0000-0002-3975-3179
Bradley BobbettVirginia G. Piper Center for Personalized Diagnostics, Biodesign Institute, Arizona State University, Tempe, AZ 85281, USA.ORCID 0009-0006-4030-2427
Izamar GarciaVirginia G. Piper Center for Personalized Diagnostics, Biodesign Institute, Arizona State University, Tempe, AZ 85281, USA.ORCID 0000-0003-2894-5105
Giavanna CaruthVirginia G. Piper Center for Personalized Diagnostics, Biodesign Institute, Arizona State University, Tempe, AZ 85281, USA.ORCID 0009-0003-0859-5109
Mitch MageeVirginia G. Piper Center for Personalized Diagnostics, Biodesign Institute, Arizona State University, Tempe, AZ 85281, USA.ORCID 0000-0003-0927-6831
Yunro ChungVirginia G. Piper Center for Personalized Diagnostics, Biodesign Institute, Arizona State University, Tempe, AZ 85281, USA.ORCID 0000-0001-9125-9277
Douglas F LakeSchool of Life Sciences, Arizona State University, Phoenix, AZ 85004, USA.ORCID 0000-0001-8118-9666
Joshua LaBaerVirginia G. Piper Center for Personalized Diagnostics, Biodesign Institute, Arizona State University, Tempe, AZ 85281, USA.ORCID 0000-0001-5788-9697
Vel MuruganVirginia G. Piper Center for Personalized Diagnostics, Biodesign Institute, Arizona State University, Tempe, AZ 85281, USA.ORCID 0000-0002-7368-7742

Funding

Arizona State University Knowledge Enterprise 0000NCIRD CDC HHS U01 IP001180
6 · The paper itself

Abstract

BACKGROUND/

objectivesSince the World Health Organization declared COVID-19 a pandemic in March 2020, the virus has caused multiple waves of infection globally. Arizona State University (ASU), the largest four-year university in the United States, offers a uniquely diverse setting for assessing immunity within a large community. This study aimed to test our hypothesis that an increased number of exposures to SARS-CoV-2 RBD through vaccination/boosters/infection will increase SARS-CoV-2 antibody seroprevalence by increasing the longevity of anti-RBD and anti-RBD-neutralizing antibodies.

methodsA serosurvey was conducted at ASU from 30 January to 3 February 2023. Participants completed questionnaires about demographics, respiratory infection history, symptoms, and COVID-19 vaccination status. Blood samples were analyzed for anti-receptor binding domain (RBD) IgG and anti-nucleocapsid (NC) antibodies, offering a comprehensive view of immunity from both natural infection and vaccination.

resultsThe seroprevalence of anti-RBD IgG antibodies was 96.2% (95% CI: 94.8-97.2%), and 64.9% (95% CI: 61.9-67.8%) of participants had anti-NC antibodies. Anti-RBD IgG levels correlated strongly with neutralizing antibody levels, and participants who received more vaccine doses showed higher levels of both anti-RBD IgG and neutralizing antibodies. Increasing the number of exposures through vaccination and/or infection resulted in higher and long-lasting antibodies.

conclusionsThe high levels of anti-RBD antibodies observed reflect substantial vaccine uptake within this population. Ongoing vaccination efforts, especially as new variants emerge, are essential to maintaining protective antibody levels. These findings underscore the importance of sustained public health initiatives to support broad-based immunity and protection.

Indexed as

antibody longevityanti-NC antibodiesanti-RBD IgG antibodiesCOVID-19 boostersneutralizing antibodiespopulation immunitySARS-CoV-2 infection

Identifiers

PMID39852840
PMCPMC11769131

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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 OpenQuestion graph.