Evidence map›Paper›PMID 41623474›Full record

ArticleiScience2026

Neutralization and ADCC reveal divergent spike-subdomain targeting across SARS-CoV-2 vaccine platforms in an African cohort.

Gerald Kevin Oluka, Joseph Ssebwana Katende, Laban Kato, Violet Ankunda, Jackson Sembera, Peter Ejou, Geoffrey Odoch, Angella Namuyanja, Pontiano Kaleebu, Jennifer Serwanga

Abstract read
In one paragraph

Article in iScience, 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

10 authors.

Gerald Kevin OlukaViral Pathogens Theme, Medical Research Council, Uganda Virus Research Institute and London School of Hygiene & Tropical Medicine (MRC/UVRI & LSHTM) - Uganda Research Unit, Entebbe, Uganda.
Joseph Ssebwana KatendeViral Pathogens Theme, Medical Research Council, Uganda Virus Research Institute and London School of Hygiene & Tropical Medicine (MRC/UVRI & LSHTM) - Uganda Research Unit, Entebbe, Uganda.
Laban KatoViral Pathogens Theme, Medical Research Council, Uganda Virus Research Institute and London School of Hygiene & Tropical Medicine (MRC/UVRI & LSHTM) - Uganda Research Unit, Entebbe, Uganda.
Violet AnkundaViral Pathogens Theme, Medical Research Council, Uganda Virus Research Institute and London School of Hygiene & Tropical Medicine (MRC/UVRI & LSHTM) - Uganda Research Unit, Entebbe, Uganda.
Jackson SemberaDepartment of Immunology, Uganda Virus Research Institute, Entebbe, Uganda.
Peter EjouViral Pathogens Theme, Medical Research Council, Uganda Virus Research Institute and London School of Hygiene & Tropical Medicine (MRC/UVRI & LSHTM) - Uganda Research Unit, Entebbe, Uganda.
Geoffrey OdochViral Pathogens Theme, Medical Research Council, Uganda Virus Research Institute and London School of Hygiene & Tropical Medicine (MRC/UVRI & LSHTM) - Uganda Research Unit, Entebbe, Uganda.
Angella NamuyanjaViral Pathogens Theme, Medical Research Council, Uganda Virus Research Institute and London School of Hygiene & Tropical Medicine (MRC/UVRI & LSHTM) - Uganda Research Unit, Entebbe, Uganda.
Pontiano KaleebuViral Pathogens Theme, Medical Research Council, Uganda Virus Research Institute and London School of Hygiene & Tropical Medicine (MRC/UVRI & LSHTM) - Uganda Research Unit, Entebbe, Uganda.
Jennifer SerwangaViral Pathogens Theme, Medical Research Council, Uganda Virus Research Institute and London School of Hygiene & Tropical Medicine (MRC/UVRI & LSHTM) - Uganda Research Unit, Entebbe, Uganda.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Evaluating demographically diverse antibody response dynamics remains relevant to developing better vaccines against SARS-CoV-2 and related coronaviruses. Here, in 80 Ugandan study participants vaccinated with BNT162b2, CoronaVac or ChAdOx1-S, we investigated longitudinal neutralization and antibody-dependent cellular cytotoxicity (ADCC) functions, correlating these with immunoglobulin G (IgG) binding dynamics to spike subdomains, receptor-binding domain, N-terminal domain, and S2, across variants. Neutralizing and ADCC responses differed by vaccine type and IgG subdomain binding profiles. S2-IgG binding and ADCC effector function dominated the immune response to CoronaVac vaccination, while BNT162b2 induced the most potent neutralizing antibodies. Overall, we reveal intra-population diversity in antibody binding, neutralization and ADCC among vaccinated individuals, many of whom exhibited elevated pre-vaccination S2-IgG, despite presumed absence of prior infection. There was confounding by vaccination scheduling amidst ongoing waves of infection. These data reveal distinct immunogenetic patterns in a sub-Saharan African population that could inform regionally tailored vaccine strategies and global pan-coronavirus vaccine development.

Indexed as

immunologypublic health

Identifiers

PMID41623474
PMCPMC12857419

What OpenQuestion holds

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LicenceCC BY
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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.