Skip to main content
. 2023 Dec 6;11:e16234. doi: 10.7717/peerj.16234

Table 1. Using PBNA to detect the influence of SARS-CoV-2 variants of concern (VOCs) on the effectiveness of four vaccines.

Vaccine WHO EUL holder Sample size Days post second vaccine dose Reference strain B.1.1.7 P.1 B.1.351 B.1.617.2 B.1.1.529 References
BNT162b2 Pfizer/BioNTech 32 19–32d WT NA NA 6.7-fold decreases 2.2-fold decreases 22.8-fold decreases Muik et al. (2022)
26 26d D614G 1.3-fold decreases NA 3.2-fold decreases 2.2-fold decreases 28.6-fold decreases Evans et al. (2022)
30 7–32d WT 2.1-fold decreases 6.7-fold decreases 34.5-fold decreases NA NA Tang et al. (2022)
Ad26.COV2-S Janssen 20 30d WT NA NA 12.6-fold increases 5.97-fold increases 12.6-fold increases Liu et al. (2022)
mRNA-1273 Moderna 7 14d D614G NA NA 8.9-fold decreases NA 35.1-fold decreases Wu et al. (2021a)
8 7d D614G 1.2-fold decreases 3.2-fold decreases 6.9-fold decreases 2.7-fold decreases NA Barouch et al. (2021), p. 19
CoronaVac Sinovac 20 14d WT 2.9-fold increases 4.3-fold increases 5.5-fold increases 3.4-fold increases 12.5-fold increases Wang et al. (2022a)

Note:

WT, wild type (Wuhan strain); D614G, virus Spike protein acquired the D614G mutation, early in the pandemic, replacing the Wuhan strain as a globally prevalent strain, but with no reduction in vaccine protective effect compared to the Wuhan strain (Weissman et al., 2020); NA, not available.