Evidence map›Paper›PMID 40832595›Full record

ArticleOpen forum infectious diseases2025

Epitope-Specific Antibody Immunodominance Driving Antibody and Influenza Viral Evolution During 2010- 2024.

Xiuhua Lu, Feng Liu, Wen-Pin Tzeng, Xiao-Yu Zheng, Terrence M Tumpey, Ian A York, Rebecca J Kondor, Min Z Levine

Abstract read
In one paragraph

Article in Open forum infectious diseases, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

8 authors.

Xiuhua LuInfluenza Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia, USA.
Feng LiuInfluenza Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia, USA.
Wen-Pin TzengInfluenza Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia, USA.
Xiao-Yu ZhengInfluenza Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia, USA.ORCID https://orcid.org/0000-0003-4285-5579
Terrence M TumpeyInfluenza Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia, USA.
Ian A YorkInfluenza Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia, USA.
Rebecca J KondorInfluenza Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia, USA.
Min Z LevineInfluenza Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia, USA.ORCID https://orcid.org/0000-0002-3197-1649

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Understanding hemagglutination inhibition antibody immunodominance (HAI-Ab-ID) is key to forecasting influenza virus antigenic drift and improving vaccine strain selection. We explored epitope-specific HAI-Ab-IDs in adults immunized with A/California/07/2009-like (CA/09) vaccine and A(H1N1)pdm09 viral evolutions. Methods: Sera from adults (N = 300; birth year, 1961-1998) collected from 2010 to 2016 were analyzed in HAI assays. To determine epitope-specific HAI-Ab-IDs, 4 reverse genetics (RG) viruses were generated: RG-wt possessing CA/09 wild type hemagglutinin and 3 RG mutants containing K163Q, K130 deletion, or D127N/N129T mutations. To analyze cross-reactive or strain-specific HAI-Ab-IDs, 10 historical 1977-2007 A(H1N1) viruses were used. Antibody adsorption assays were used to verify the specificity of HAI-Ab-IDs. Publicly available sequences of A(H1N1)pdm09 viruses from GISAID (Global Initiative on Sharing All Influenza Data; n = 100 277, 2010-2024) were analyzed for viral evolution. Results: Four HAI-Ab-IDs targeting the epitopes possessing K163, D127 + N129 + K130, K130, or D127 + N129 were detected in >50% donors during 2010 to 2016. Three HAI-Ab-IDs (K163-Ab-IDs, D127/N129/K130-Ab-IDs, and K130-Ab-IDs) cross-inhibited some 1977-2007 viruses. Conversely, D127/N129-Ab-ID showed no cross-inhibition with historical 1977-2007 viruses. Low proportions of K130-Ab-IDs were presented mainly in prevaccination sera. Shifts of cross-reactive HAI-Ab-IDs to strain-specific D127/N129-Ab-ID occurred between 2010 and 2016. The HAI-Ab-IDs exerted immune selection pressures on hemagglutinin (4 positions: D127, N129, K130, and K163). So far, 3 escape mutations became fixed in the 2013-2014 season (K163Q), 2020-2021 season (N129D), and 2022-2023 season (K130N). Conclusions: HAI-Ab-IDs were common phenomena in adults from 2010 to 2016. Preexisting HAI-Ab-IDs drove viral and antibody evolutions by HAI-Ab-mediated immune selection and suppression. Monitoring viral and HAI-Ab-ID evolution is of great importance to improve vaccine effectiveness.

Indexed as

antibody evolutionantibody immunodominancehemagglutination inhibition antibodyinfluenza vaccineviral evolution

Identifiers

PMID40832595
PMCPMC12359040

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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.