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Consecutive BNT162b2 mRNA vaccination induces short-term epigenetic memory in innate immune cells
Yuta Yamaguchi, … , Yukinori Okada, Atsushi Kumanogoh
Yuta Yamaguchi, … , Yukinori Okada, Atsushi Kumanogoh
Published October 25, 2022
Citation Information: JCI Insight. 2022;7(22):e163347. https://doi.org/10.1172/jci.insight.163347.
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Research Article COVID-19 Vaccines

Consecutive BNT162b2 mRNA vaccination induces short-term epigenetic memory in innate immune cells

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Abstract

Consecutive mRNA vaccinations against SARS-CoV-2 reinforced both innate and adaptive immune responses. However, it remains unclear whether the enhanced innate immune responses are mediated by epigenetic regulation and, if so, whether these effects persist. Using mass cytometry, RNA-Seq, and ATAC-Seq, we show that BNT162b2 mRNA vaccination upregulated antiviral and IFN-stimulated gene expression in monocytes with greater effects after the second vaccination than those after the first vaccination. Transcription factor–binding motif analysis also revealed enriched IFN regulatory factors and PU.1 motifs in accessible chromatin regions. Importantly, although consecutive BNT162b2 mRNA vaccinations boosted innate immune responses and caused epigenetic changes in isolated monocytes, we show that these effects occurred only transiently and disappeared 4 weeks after the second vaccination. Furthermore, single-cell RNA-Seq analysis revealed that a similar gene signature was impaired in the monocytes of unvaccinated patients with COVID-19 with acute respiratory distress syndrome. These results reinforce the importance of the innate immune response in the determination of COVID-19 severity but indicate that, unlike adaptive immunity, innate immunity is not unexpectedly sustained even after consecutive vaccination. This study, which focuses on innate immune memory, may provide novel insights into the vaccine development against infectious diseases.

Authors

Yuta Yamaguchi, Yasuhiro Kato, Ryuya Edahiro, Jonas N. Søndergaard, Teruaki Murakami, Saori Amiya, Shinichiro Nameki, Yuko Yoshimine, Takayoshi Morita, Yusuke Takeshima, Shuhei Sakakibara, Yoko Naito, Daisuke Motooka, Yu-Chen Liu, Yuya Shirai, Yasutaka Okita, Jun Fujimoto, Haruhiko Hirata, Yoshito Takeda, James B. Wing, Daisuke Okuzaki, Yukinori Okada, Atsushi Kumanogoh

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Figure 2

Epigenomic changes in monocytes regulate the innate immune responses to the BNT162b2 mRNA vaccine.

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Epigenomic changes in monocytes regulate the innate immune responses to ...
(A) Schematic overview of the ATAC-Seq experiment of monocytes magnetically separated from PBMCs collected from healthy individuals before (D0, n = 5) and after (D1 and D22, n = 4; D20 and D49, n = 5) vaccination. All 4 individuals included in the RNA-Seq analysis (in Figure 1) were included in the ATAC-Seq analysis. (B) Numbers of differentially accessible chromatin regions (DARs) (|log2 fold change| > 1 and P < 0.05) in isolated monocytes on D1, D20, D22, and D49 compared with those on D0 were identified using edgeR (n = 5 per group). (C) Heatmap of Z scores of the normalized read counts identified by ATAC-Seq of isolated monocytes on D0, D1, D20, D22, and D49. Annotated genes were related to the innate immune responses among the nearest genes in each cluster. (D) Enrichment analysis of the nearest genes detected in cluster 1 as conducted with Metascape (http://metascape.org). The top 20 significantly enriched terms are listed (P < 0.05). Innate immune response terms are marked in red. (E) PPI network analysis among the nearest genes in cluster 1 using molecular complex detection algorithm as conducted with Metascape (http://metascape.org). The components of each molecular complex detection (MCODE) are listed in Supplemental Figure 5B. (F) Changes in normalized peak counts nearest antiviral and IFN-stimulated genes identified by ATAC-Seq of isolated monocytes. Fold changes are represented compared with D0. (G) Enriched known motifs identified using hypergeometric optimization of motif enrichment (HOMER) among enhanced chromatin accessibility regions on D1, D20, D22, and D49 compared with those on D0. TF, transcription factor.

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