Evidence map›Paper›PMID 40970209›Full record

ArticleiScience2025

Emergence of SARS-CoV-2 Omicron lineages shifted antibody-mediated protection curves.

David J Pattinson, Joshua G Petrie, Peter Jester, Lizheng Guan, Jennifer P King, Peter Halfmann, Edward A Belongia, Huong Q Nguyen, Yoshihiro Kawaoka, Gabriele Neumann

Abstract read
In one paragraph

Article in iScience, 2025. 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

10 authors.

David J PattinsonDepartment of Pathobiological Sciences, School of Veterinary Medicine, University of Wisconsin-Madison, Madison, WI 53706, USA.
Joshua G PetrieMarshfield Clinic Research Institute, Marshfield, WI 54449, USA.
Peter JesterDepartment of Pathobiological Sciences, School of Veterinary Medicine, University of Wisconsin-Madison, Madison, WI 53706, USA.
Lizheng GuanDepartment of Pathobiological Sciences, School of Veterinary Medicine, University of Wisconsin-Madison, Madison, WI 53706, USA.
Jennifer P KingMarshfield Clinic Research Institute, Marshfield, WI 54449, USA.
Peter HalfmannDepartment of Pathobiological Sciences, School of Veterinary Medicine, University of Wisconsin-Madison, Madison, WI 53706, USA.
Edward A BelongiaMarshfield Clinic Research Institute, Marshfield, WI 54449, USA.
Huong Q NguyenMarshfield Clinic Research Institute, Marshfield, WI 54449, USA.
Yoshihiro KawaokaDepartment of Pathobiological Sciences, School of Veterinary Medicine, University of Wisconsin-Madison, Madison, WI 53706, USA.
Gabriele NeumannDepartment of Pathobiological Sciences, School of Veterinary Medicine, University of Wisconsin-Madison, Madison, WI 53706, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Antibody dynamics models are analytical frameworks that probabilistically link changes in antibody titer timeseries to exposures. To date, antibody dynamics models have not been applied to SARS-CoV-2 datasets and have not incorporated observed exposures (i.e., from vaccination and positive PCR results) directly in their inference. We developed a bespoke framework that incorporates these features and applied it to data from the "Prospective Assessment of COVID-19 in a Community" (PACC) cohort. We used ELISA to measure serum antibody levels against Wuhan-1 spike (S) and nucleocapsid (N) proteins and inferred the level of protection from SARS-CoV-2 infection each antigen provided at different titers (protection curves). The S protection curve shifted when the Omicron lineage evolved, indicating that higher Wuhan-1 titers were required for protection. Age and exposure history did not shift the protection curves. This work highlights the utility of antibody dynamics frameworks to inform SARS-CoV-2 vaccination strategies.

Indexed as

Health sciencesImmunologyMedical specialtyMedicinePublic health

Identifiers

PMID40970209
PMCPMC12441732

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.