Evidence map›Paper›PMID 42818453›Full record

ArticlemedRxiv : the preprint server for health sciences2026

Longitudinal antibody correlates of SARS-CoV-2 infection in a US household cohort during Omicron waves.

Yangyupei Yang, Amy Callear, Matthew Smith, Casey Juntila-Raymond, Elie-Tino Godonou, Emileigh Johnson, Adam S Lauring, William J Fitzsimmons, Jefferson M Jones, Claire M Midgley and 2 more

Abstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Yangyupei YangDepartment of Epidemiology, University of Michigan School of Public Health, Ann Arbor, MI, USA.ORCID 0000-0002-6011-4152
Amy CallearDepartment of Epidemiology, University of Michigan School of Public Health, Ann Arbor, MI, USA.
Matthew SmithDepartment of Epidemiology, University of Michigan School of Public Health, Ann Arbor, MI, USA.
Casey Juntila-RaymondDepartment of Epidemiology, University of Michigan School of Public Health, Ann Arbor, MI, USA.
Elie-Tino GodonouDepartment of Epidemiology, University of Michigan School of Public Health, Ann Arbor, MI, USA.
Emileigh JohnsonDepartment of Epidemiology, University of Michigan School of Public Health, Ann Arbor, MI, USA.
Adam S LauringDivision of Infectious Diseases, Department of Internal Medicine, University of Michigan, Ann Arbor, MI, USA.
William J FitzsimmonsDivision of Infectious Diseases, Department of Internal Medicine, University of Michigan, Ann Arbor, MI, USA.
Jefferson M JonesCoronavirus and Other Respiratory Viruses Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, GA 30333, USA.
Claire M MidgleyCoronavirus and Other Respiratory Viruses Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, GA 30333, USA.
Arnold S MontoDepartment of Epidemiology, University of Michigan School of Public Health, Ann Arbor, MI, USA.
Emily T MartinDepartment of Epidemiology, University of Michigan School of Public Health, Ann Arbor, MI, USA.

Funding

NIAID Centers of Excellence for Influenza Research and Response: Universal Influenza Vaccine Research Activities75N93021C00015 · NIAID · UNIVERSITY OF PENNSYLVANIA · PI HENSLEY, SCOTT · 2021 to 2025
$50.7M
The Michigan Infectious Disease Genomics (MIDGE) CenterU19AI181767 · NIAID · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI LAURING, ADAM, SNITKIN, EVAN · 2024 to 2024
$6.2M
A Flexible High-Throughput Immunological Assay to Support Next-Generation Influenza Vaccine StudiesUH2AI176136 · NIAID · MESO SCALE DIAGNOSTICS, LLC · PI SIGAL, GEORGE B · 2023 to 2024
$1.7M
NIAID NIH HHS U19 AI181767NIAID NIH HHS UH2 AI176136NIH HHS 75N93021C00015
6 · The paper itself

Abstract

Background: SARS-CoV-2 vaccines have been updated based on circulating variants and the antibody protection from prior vaccination and infection against emerging variants. We evaluated longitudinal antibody correlates of SARS-CoV-2 infection risk during Omicron waves. Methods: We used data from a longitudinal cohort study from 2021 through 2025 with prospective surveillance for acute respiratory illness, and repeated blood collection. A subset of participants also provided weekly respiratory specimens to identify asymptomatic infections. Serum samples were tested using multiplex assays measuring anti-Spike (S) binding IgG and angiotensin-converting enzyme 2 (ACE2) inhibition (a measure of inhibition of the ACE2 receptor interaction) across multiple SARS-CoV-2 variants. Cox models were used to evaluate associations between antibody, prior vaccination and infection, and SARS-CoV-2 infections. Findings: Among 119 participants who contributed 438.8 person-years of follow-up, 81 symptomatic SARS-CoV-2 infections and 4 asymptomatic infections (from 33 participants with weekly swabs) were detected. Each two-fold increase in anti-S IgG concentration was associated with a 15% lower hazard of symptomatic infection (hazard ratio [HR]=0.85, 95%CI:0.82-0.88). Similarly, each 10% increase in ACE2 inhibition was associated with a 7% lower infection hazard (HR=0.93, 95% CI:0.90-0.95). After adjusting for antibody levels, prior SARS-CoV-2 infection remained protective, while recent vaccination was not associated with infection hazard. The peak predicted antibody after repeat COVID-19 vaccinations was estimated to confer 62-65% protection against symptomatic infection. Interpretation: Higher levels of binding and functional antibodies were associated with reduced the risk of SARS-CoV-2 infections across multiple waves between 2021-2025. These findings support the use of longitudinal serologic surveillance to inform vaccine evaluation and future booster strategies against evolving SARS-CoV-2 variants.

Identifiers

PMID42818453
PMCPMC13622789

What OpenQuestion holds

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Registered trials

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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.