| Literature DB >> 33010978 |
Xianglei Liu1, Aleksandra Drelich2, Wei Li3, Chuan Chen3, Zehua Sun3, Megan Shi3, Cynthia Adams3, John W Mellors4, Chien-Te Tseng2, Dimiter S Dimitrov5.
Abstract
The development of an effective vaccine against SARS-CoV-2 is urgently needed. We generated SARS-CoV-2 RBD-Fc fusion protein and evaluated its potency to elicit neutralizing antibody response in mice. RBD-Fc elicited a higher neutralizing antibodies titer than RBD as evaluated by a pseudovirus neutralization assay and a live virus based microneutralization assay. Furthermore, RBD-Fc immunized sera better inhibited cell-cell fusion, as evaluated by a quantitative cell-cell fusion assay. The cell-cell fusion assay results correlated well with the virus neutralization potency and could be used for high-throughput screening of large panels of anti-SARS-CoV-2 antibodies and vaccines without the requirement of live virus infection in BSL3 containment. Moreover, the anti-RBD sera did not enhance the pseudotyped SARS-CoV-2 infection of K562 cells. These results demonstrate that Fc fusion can significantly improve the humoral immune response to recombinant RBD immunogen, and suggest that RBD-Fc could serve as a useful component of effective vaccines against SARS-CoV-2.Entities:
Keywords: Cell–cell fusion assay; Receptor-binding domain (RBD); SARS-CoV-2; Subunit vaccine
Mesh:
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Year: 2020 PMID: 33010978 PMCID: PMC7508516 DOI: 10.1016/j.vaccine.2020.09.058
Source DB: PubMed Journal: Vaccine ISSN: 0264-410X Impact factor: 3.641
Fig. 1Characterization of RBD and RBD-Fc, mouse immunization with recombinant RBD proteins. (A) SDS-PAGE of RBD-Fc (2 μg, ~100 kDa without DTT and ~50 kDa with DTT) are consistent with their theoretically calculated MWs. (B) SDS-PAGE of RBD (with 6 × His tag, 2 μg) in the presence or absence of DTT. The apparent molecular weight (MW) of RBD (heterogeneity ranging from 25 to 38 kDa) due to glycosylation was verified by deglycosylation. (C) ELISA measurement of binding of the recombinant RBD and RBD-Fc to hACE2-mFc (mouse Fc, Sino Biological). 200 ng RBD or RBD-Fc was coated on plate with incubation of serially diluted hACE2-mFc. Binding was detected by using HRP conjugated anti-mouse Fc antibody. Experiments were performed in duplicate and the error bars denote ± SD, n = 2. (D) Mouse immunization and sera sampling schedule. Four groups of BALB/c mice (n = 5) received same doses of the RBD vaccine or the control DPBS on day 0 and boost again on day 14. Sera were collected on day 0 (pre-vaccination), day 13 and 27 (post-vaccination).
Fig. 2Evaluation of binding (A) and competition with hACE2 (B) of mouse sera to the SARS-CoV-2 RBD as measured by ELISA. (A) 200 ng of RBD was coated and 5-fold serially diluted serum was added after blocking. After washing, the binding was detected by HRP conjugated anti-mouse IgG antibody. (B) 200 ng of RBD were coated and 5-fold serially diluted mouse serum was added in the presence of ~20 nM biotinylated hACE2 followed by PBST washing. For detection, streptavidin-HRP secondary antibody was used. Experiments were performed in duplicate and the error bars denote ± SD, n = 2. Statistical significance was defined as *: P < 0.05.
Fig. 3Potent neutralization of SARS-CoV-2 pseudovirus (A) and live virus (B) by mouse serum, correlation analysis for pseudo-neutralization and competitive ELISA (C). (A) Pseudoviruses were pre-incubated with serially diluted serum and then used to infect 293T-ACE2 cells. 24 hrs later, luciferase activities in cell lysates were recorded. 50% neutralizing antibody titers (NT50) was obtained by non-linear fitting of plots of neutralization against serum dilution folds in Graphpad Prism 7. (B) Neutralization of live virus by a microneutralization assay. Virus-induced cytopathic effects (CPE) were observed under the microscopy. The neutralization capacity (NT100) was expressed as the lowest dilution folds capable of completely preventing virus induced CPE in 100% of the wells. Experiments were performed in duplicate and the error bars denote ± SD, n = 2. Statistical significance was defined as *: P < 0.05. (C) Correlation analysis between pseudo-neutralization antibody titers (NT50) and competitive ELISA (EC50) for sera of day 13 and day 27. Correlation and linear regression analyses were performed in GraphPad Prism using Pearson’s correlation coefficients. Statistical significance was calculated using the two-tailed test. The dashed lines indicate the standard deviations of the linear regression plots.
Fig. 4Inhibition of cell-cell fusion (A) by mouse serum, correlation analysis for fusion inhibition assay with pseudo-nertralization (B) and competitive ELISA (C). (A) A β-galactosidase (β-Gal) reporter gene-based quantitative cell–cell fusion assay was used, in which T7 polymerase expressing 293T-S pre-incubated with mouse serum followed by mixing with T7 promotor controlled β-Gal expressing 293T-ACE2 cells. After 3 hrs incubation, the β-Gal activity was detected by a chromogenic reaction using the β-Gal substrate CPRG. Fusion inhibition percentage was plotted against serum dilution folds from which 50% fusion inhibition antibody titers (IC50) was calculated in Graphpad Prism 7. Experiments were performed in duplicate and the error bars denote ± SD, n = 2. Statistical significance was defined as *: P < 0.05, n.s.: P > 0.05. (B) Correlation analysis between cell–cell fusion inhibition (IC50) and pseudo-neutralization antibody titers (NT50) for sera of day 13 and day 27. (C) Correlation analysis between cell–cell fusion inhibition (IC50) and competitive ELISA (EC50) for sera of day 13 and day 27. Correlation and linear regression analyses were performed in GraphPad Prism using Pearson’s correlation coefficients. Statistical significance was calculated using the two-tailed test. The dashed lines indicate the standard deviations of the linear regression plots.