Evidence map›Paper›PMID 41600893›Full record

ArticleViruses2026

Immune Imprinting Identified in Phage-Display Antibody Libraries Derived from Early Wild-Type and Late Omicron COVID-19 Convalescents.

Boyang Li, Mengxuan Wang, Fang Huang, Wei Wu, Jiaxin Fan, Lu Yang, Yongbing Pan, Mifang Liang, Kai Duan

Abstract read
In one paragraph

Article in Viruses, 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

9 authors.

Boyang LiHubei Provincial Vaccine Technology Innovation Center, State Key Laboratory of Novel Vaccines for Emerging Infectious Diseases, National Engineering Technology Research Center for Combined Vaccines, Wuhan Institute of Biological Products Co., Ltd., Wuhan 430207, China.
Mengxuan WangWuhan Riverflow Ab Biotechnology Co., Ltd., Wuhan 430207, China.
Fang HuangHubei Jiangxia Laboratory, Wuhan 430207, China.ORCID 0000-0002-0511-2568
Wei WuWuhan Riverflow Ab Biotechnology Co., Ltd., Wuhan 430207, China.
Jiaxin FanWuhan Riverflow Ab Biotechnology Co., Ltd., Wuhan 430207, China.
Lu YangHubei Provincial Vaccine Technology Innovation Center, State Key Laboratory of Novel Vaccines for Emerging Infectious Diseases, National Engineering Technology Research Center for Combined Vaccines, Wuhan Institute of Biological Products Co., Ltd., Wuhan 430207, China.
Yongbing PanHubei Provincial Vaccine Technology Innovation Center, State Key Laboratory of Novel Vaccines for Emerging Infectious Diseases, National Engineering Technology Research Center for Combined Vaccines, Wuhan Institute of Biological Products Co., Ltd., Wuhan 430207, China.
Mifang LiangHubei Provincial Vaccine Technology Innovation Center, State Key Laboratory of Novel Vaccines for Emerging Infectious Diseases, National Engineering Technology Research Center for Combined Vaccines, Wuhan Institute of Biological Products Co., Ltd., Wuhan 430207, China.
Kai DuanHubei Provincial Vaccine Technology Innovation Center, State Key Laboratory of Novel Vaccines for Emerging Infectious Diseases, National Engineering Technology Research Center for Combined Vaccines, Wuhan Institute of Biological Products Co., Ltd., Wuhan 430207, China.

Funding

National Science and Technology Major Project 2025ZD01904204
6 · The paper itself

Abstract

The rapid evolution of SARS-CoV-2, particularly the emergence of Omicron subvariants, has significantly reduced the efficacy of existing vaccines and monoclonal antibodies. This study investigates the phenomenon of immune imprinting by comparing two phage display antibody libraries derived from early 2020 wild-type SARS-CoV-2 convalescents (WT-AbLib) and early 2023 Omicron convalescents (Omi-AbLib). The capacity and diversity of both antibody libraries were systematically evaluated. The libraries were screened using BF.7 and XBB.1.5 antigens. WT-AbLib showed markedly reduced diversity after Omicron antigen selection, with dominant clones shifting from IGHV3-66-class broadly neutralizing antibodies (bnAbs) targeting the receptor-binding motif to IGHV1-46-class broadly non-neutralizing antibodies targeting conserved lateral receptor-binding domain (RBD) sites. Omi-AbLib maintained higher diversity, but dominant antibodies were also non-neutralizing and targeted the same conserved lateral region. These findings suggest that immune imprinting drives the dominance of broadly non-neutralizing antibodies following Omicron breakthrough or reinfection. This phenomenon provides a mechanistic explanation for persistent viral evasion and recurrent infection, and highlights major challenges for the development of next-generation broadly neutralizing therapeutics.

Indexed as

Antibodies, ViralCOVID-19Peptide LibrarySARS-CoV-2Antibodies, MonoclonalAntibodies, NeutralizingBroadly Neutralizing AntibodiesCell Surface Display TechniquesHumansSpike Glycoprotein, CoronavirusAntibodies, MonoclonalAntibodies, NeutralizingAntibodies, ViralBroadly Neutralizing AntibodiesPeptide LibrarySpike Glycoprotein, Coronavirusbroadly neutralizing antibodyimmune imprintingnon-neutralizing antibodyOmicronoriginal antigenic sinphage display antibody libraryreceptor-binding domainSARS-CoV-2

Identifiers

PMID41600893
PMCPMC12846543

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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.