Atypical and non-classical CD45RBlo memory B cells are the majority of circulating SARS-CoV-2 specific B cells following mRNA vaccination or COVID-19

Resting memory B cells can be divided into classical or atypical groups, but the heterogenous marker expression on activated memory B cells makes similar classification difficult. Here, by longitudinal analysis of mass cytometry and CITE-seq data from cohorts with COVID-19, bacterial sepsis, or BNT162b2 mRNA vaccine, we observe that resting B cell memory consist of classical CD45RB<sup>+</sup> memory and CD45RB<sup>lo</sup> memory, of which the latter contains of two distinct groups of CD11c<sup>+</sup> atypical and CD23<sup>+</sup> non-classical memory cells. CD45RB levels remain stable in these cells after activation, thereby enabling the tracking of activated B cells and plasmablasts derived from either CD45RB<sup>+</sup> or CD45RB<sup>lo</sup> memory B cells. Moreover, in both COVID-19 patients and mRNA vaccination, CD45RB<sup>lo</sup> B cells formed the majority of SARS-CoV2 specific memory B cells and correlated with serum antibodies, while CD45RB<sup>+</sup> memory are activated by bacterial sepsis. Our results thus identify that stably expressed CD45RB levels can be exploited to trace resting memory B cells and their activated progeny, and suggest that atypical and non-classical CD45RB<sup>lo</sup> memory B cells contribute to SARS-CoV-2 infection and vaccination.

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Publication Details

Journal
Nature Communications
Published
2024-08-09
DOI
https://doi.org/10.1038/s41467-024-50997-4
Citations
17
Primary Topic
SARS-CoV-2 and COVID-19 Research
Type
article
Field-Weighted Citation Impact
6.61

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article

Atypical and non-classical CD45RBlo memory B cells are the majority of circulating SARS-CoV-2 specific B cells following mRNA vaccination or COVID-19

Shinya Onishi, Jumpei Yoshimura, Fuminori Sugihara, Shunichiro Nakao et al.
17 citations
Nature Communications
SARS-CoV-2 and COVID-19 Research
6.61
article

Atypical and non-classical CD45RBlo memory B cells are the majority of circulating SARS-CoV-2 specific B cells following mRNA vaccination or COVID-19

Shinya Onishi, Jumpei Yoshimura, Fuminori Sugihara, Shunichiro Nakao, Jun Oda, Jonas Nørskov Søndergaard, Yumi Mitsuyama, Hiroshi Ogura, Shuhei Sakakibara, Janyerkye Tulyeu, James B. Wing, Takeshi Ebihara, Hiroshi Itô, Arisa Muratsu, Hisatake Matsumoto, David G. Priest, Yuki Togami, Daisuke Okusaki
article en
17 citations

Abstract

Resting memory B cells can be divided into classical or atypical groups, but the heterogenous marker expression on activated memory B cells makes similar classification difficult. Here, by longitudinal analysis of mass cytometry and CITE-seq data from cohorts with COVID-19, bacterial sepsis, or BNT162b2 mRNA vaccine, we observe that resting B cell memory consist of classical CD45RB<sup>+</sup> memory and CD45RB<sup>lo</sup> memory, of which the latter contains of two distinct groups of CD11c<sup>+</sup> atypical and CD23<sup>+</sup> non-classical memory cells. CD45RB levels remain stable in these cells after activation, thereby enabling the tracking of activated B cells and plasmablasts derived from either CD45RB<sup>+</sup> or CD45RB<sup>lo</sup> memory B cells. Moreover, in both COVID-19 patients and mRNA vaccination, CD45RB<sup>lo</sup> B cells formed the majority of SARS-CoV2 specific memory B cells and correlated with serum antibodies, while CD45RB<sup>+</sup> memory are activated by bacterial sepsis. Our results thus identify that stably expressed CD45RB levels can be exploited to trace resting memory B cells and their activated progeny, and suggest that atypical and non-classical CD45RB<sup>lo</sup> memory B cells contribute to SARS-CoV-2 infection and vaccination.

Nature CommunicationsVol. 15(1)
Osaka City General Hospital (JP), Graduate School of Health Care Sciences, Jikei Institute (JP), Osaka International University (JP), The University of Osaka (JP)
Takeda Science Foundation, Japan Agency for Medical Research and Development, Nippon Foundation
Good health and well-being
Openalex Percentile: Top 2%
SARS-CoV-2 and COVID-19 Research
6.61
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