Sequencing analysis of B cell receptor repertoire in a BNT162b2 vaccinee after SARS-CoV-2 Omicron BA5 breakthrough infection: a case study 4586

Abstract Description Background The magnitude of mRNA vaccine-induced memory B cell responses recalled by SARS-CoV-2 breakthrough infection remains incompletely investigated. Methods We conducted B cell receptor (BCR) repertoire sequencing and used a deep learning model to understand recalled BCR quantitively in a BNT162b2 vaccinee, who generated ultrapotent class-I broadly neutralizing antibodies (bnAbs) after Omicron BA.5 breakthrough infection. Results We obtained 3308 paired BCR sequences including 44.4% to receptor binding domain and 3.07% to N-terminal domain compared with CoV-AbDab. The dominant IGHV clonotype with a frequency of over 10% was IGHV3-23 followed by IGHV3-33 and IGHV4-59, from which no ultrapotent bnAbs were generated. Instead, the minor IGHV clonotype IGHV3-66 with a frequency of less than 2.5% gave rise to ultrapotent receptor binding domain (RBD)-specific class-I bnAbs, which neutralized all Omicron subvariants tested with IC50 values less than 10 ng/mL. Clearly, these ultrapotent bnAbs were not derived from the IGHV1-58 class-I bnAb ZCB11, which was previously found in the same BNT162b2-vaccinee before the breakthrough infection. Conclusion This study indicated that breakthrough infection can recall ultrapotent class-I bnAbs from BNT162b2-induced memory B cells displaying distinct and minor clonotypes. Topic Categories Viral Immunology (VIR)

Authors

Institutions

Publication Details

Journal
The Journal of Immunology
Published
2025-11-01
DOI
https://doi.org/10.1093/jimmun/vkaf283.2253
Primary Topic
SARS-CoV-2 and COVID-19 Research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Sequencing analysis of B cell receptor repertoire in a BNT162b2 vaccinee after SARS-CoV-2 Omicron BA5 breakthrough infection: a case study 4586

Mengxiao Luo, Zhiwei Chen, Bo‐Hao Chen
The Journal of Immunology
SARS-CoV-2 and COVID-19 Research
article

Sequencing analysis of B cell receptor repertoire in a BNT162b2 vaccinee after SARS-CoV-2 Omicron BA5 breakthrough infection: a case study 4586

Mengxiao Luo, Zhiwei Chen, Bo‐Hao Chen
article en

Abstract

Abstract Description Background The magnitude of mRNA vaccine-induced memory B cell responses recalled by SARS-CoV-2 breakthrough infection remains incompletely investigated. Methods We conducted B cell receptor (BCR) repertoire sequencing and used a deep learning model to understand recalled BCR quantitively in a BNT162b2 vaccinee, who generated ultrapotent class-I broadly neutralizing antibodies (bnAbs) after Omicron BA.5 breakthrough infection. Results We obtained 3308 paired BCR sequences including 44.4% to receptor binding domain and 3.07% to N-terminal domain compared with CoV-AbDab. The dominant IGHV clonotype with a frequency of over 10% was IGHV3-23 followed by IGHV3-33 and IGHV4-59, from which no ultrapotent bnAbs were generated. Instead, the minor IGHV clonotype IGHV3-66 with a frequency of less than 2.5% gave rise to ultrapotent receptor binding domain (RBD)-specific class-I bnAbs, which neutralized all Omicron subvariants tested with IC50 values less than 10 ng/mL. Clearly, these ultrapotent bnAbs were not derived from the IGHV1-58 class-I bnAb ZCB11, which was previously found in the same BNT162b2-vaccinee before the breakthrough infection. Conclusion This study indicated that breakthrough infection can recall ultrapotent class-I bnAbs from BNT162b2-induced memory B cells displaying distinct and minor clonotypes. Topic Categories Viral Immunology (VIR)

The Journal of ImmunologyVol. 214(Supplement_1)
University of Hong Kong (HK)
Openalex Percentile: Top 58%
SARS-CoV-2 and COVID-19 Research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.