Introduction:Coronavirus disease (COVID-19) caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has become a global pandemic even after vaccination. We aimed to identify immunological heterogeneity over time in vaccinated healthcare workers using neutralization antibodies and neutralizing activity tests. Methods: Serum samples were collected from 214 healthcare workers before vaccination (pre) and on days 22, 90, and 180 after receiving the first dose of BNT162b2 vaccine (day 0). Neutralization antibody (NAb, SARS-CoV-2 S-RBD IgM/IgG) titers and two kinds of surrogate virus neutralization tests (sVNTs) were analyzed (UMIN000043851). Results:The NAb (SARS-CoV-2 S-RBD IgG) titer peaked on day 90 after vaccination (30,808.0 μg/ml ± 35,211; p < 0.0001) and declined on day 180 (11,678.0 μg/ ml ± 33,770.0; p < 0.0001). The neutralizing activity also peaked on day 90 and declined with larger individual differences than those of IgG titer on day 180 (88.9% ± 15.0%, 64.8% ± 23.7%, p < 0.0001). We also found that the results of POCT-sVNT (immunochromatography) were highly correlated with those of conventional sVNT (ELISA). Conclusions:Neutralizing activity is the gold standard for vaccine efficacy evaluation.Our results using conventional sVNT showed large individual differences in neutralizing activity reduction on day 180 (64.8% ± 23.7%), suggesting an association with the difference in vaccine efficacy. POCT-sVNT is rapid and user-friendly; it might be used for triage in homes, isolation facilities, and event venues without restrictions on the medical testing environment.

Messenger ribonucleic acid (mRNA) vaccination against coronavirus disease 2019 (COVID-19) is an effective prevention strategy, despite a limited understanding of the molecular mechanisms underlying the host immune system and individual heterogeneity of the variable effects of mRNA vaccination. We assessed the timeseries changes in the comprehensive gene expression profiles of 200 vaccinated healthcare workers by performing bulk transcriptome and bioinformatics analyses, including dimensionality reduction utilizing the uniform manifold approximation and projection (UMAP) technique. For these analyses, blood samples, including peripheral blood mononuclear cells (PBMCs), were collected from 214 vaccine recipients before vaccination (T1) and on Days 22 (T2, after second dose), 90, 180 (T3, before a booster dose), and 360 (T4, after a booster dose) after receiving the first dose of BNT162b2 vaccine (UMIN000043851). UMAP successfully visualized the main cluster of gene expression at each time point in PBMC samples (T1-T4).Through differentially expressed gene (DEG) analysis, we identified genes that showed fluctuating expression levels and gradual increases in expression levels from T1 to T4, as well as genes with increased expression levels at T4 alone. We also succeeded in dividing these cases into five types based on the changes in gene expression levels. High-throughput and temporal bulk RNA-based transcriptome analysis is a useful approach for inclusive, diverse, and cost-effective large-scale clinical studies.