| Literature DB >> 35671888 |
Yuting Hong1, Huilin Guo1, Min Wei1, Yali Zhang1, Mujin Fang1, Tong Cheng1, Zhiyong Li2, Shengxiang Ge1, Xiangyang Yao3, Quan Yuan4, Ningshao Xia1.
Abstract
The COVID-19 pandemic caused by SARS-CoV-2 infections has led to excess deaths worldwide. Neutralizing antibodies (nAbs) against viral spike protein acquired from natural infections or vaccinations contribute to protection against new- and re-infections. Besides neutralization, antibody-mediated cellular cytotoxicity (ADCC) and phagocytosis (ADCP) are also important for viral clearance. However, due to the lack of convenient methods, the ADCC and ADCP responses elicited by viral infections or vaccinations remain to be explored. Here, we developed cell-based assays using target cells stably expressing SARS-CoV-2 spikes and Jurkat-NFAT-CD16a/CD32a effector cells for ADCC/ADCP measurements of monoclonal antibodies and human convalescent COVID-19 plasmas (HCPs). In control samples (n = 190), the specificity was 99.5% (95%CI: 98.4-100%) and 97.4% (95%CI: 95.1-99.6%) for the ADCC and ADCP assays, respectively. Among 87 COVID-19 HCPs, 83 (sensitivity: 95.4%, 95%CI: 91.0-99.8%) and 81 (sensitivity: 93.1%, 95%CI: 87.8-98.4%) showed detectable ADCC (titer range: 7.4-1721.6) and ADCP activities (titer range: 4-523.2). Notably, both ADCC and ADCP antibody titers positively correlated with the nAb titers in HCPs. In summary, we developed new tools for quantitative ADCC and ADCP analysis against SARS-CoV-2, which may facilitate further evaluations of Fc-mediated effector functions in preventing and treating against SARS-CoV-2.Entities:
Keywords: Antibody-mediated cellular cytotoxicity; Antibody-mediated phagocytosis; COVID-19; Cell-based reporter assay; SARS-CoV-2
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Year: 2022 PMID: 35671888 PMCID: PMC9167684 DOI: 10.1016/j.jviromet.2022.114564
Source DB: PubMed Journal: J Virol Methods ISSN: 0166-0934 Impact factor: 2.623
Fig. 1Characterizations of the target and effector cells for ADCC and ADCP assays against SARS-CoV-2 spike protein, (A). Schematics of constructs for generations of SFLwt and SFLfk cells. The SFLwt contains a codon-optimized gene encoding a full-length SARS-CoV-2 spike (aa 1–1273, identical to the spike protein derived from MN908947.3). The only difference between the SFLwt and SFLfk was the furin site is mutated (RRAR changed into GSAS). (B). Flow cytometry analyses of Expi293F (293 F) cells with stable expressions of SFLwt or SFLfk by antibodies specific to the S1 subunit (left panel), S2 subunit (middle panel), or mRuby3 selection marker (right panel). (C). Western blots for SARS-CoV-2 spike proteins in cell lysates of SFLwt and SFLwt cells. S, intact spike proteins; S1, furin-cleaved S1 subunit; S2, furin-cleaved S2 subunit. (D). Flow cytometry analyses for expressions of hCD16 and hCD32 in Jurkat-NFAT-hCD16 (left panel) and Jurkat-NFAT-hCD32 (right panel) effector cells, respectively.
Fig. 2Optimizations of the experimental conditions for the ADCC and ADCP assay. (A) Comparisons of the antibody-induced bioluminescence increase using SFLfk (as target) and Jurkat-NFAT-hCD16 (as ADCC effector) cells at various experimental conditions. The 83H7 mAb in chimeric with human IgG1 Fc (h83H7) was used for ADCC assay in a dose-dependent manner. The Y-axis represents the bioluminescence increase (RLU fold changes to RLU of the mAb-free well) in the presence of antibodies. The Jurkat-NFAT-hCD16 were used at 5 × 104 (blue), 1 × 105 (orange), or 2 × 105 (yellow) cells/well in different E: T ratios. E, effector cell; E: T, the cell number ratio of effector and target cells; Bioluminescence (RLU) measurements were performed at 6, 18, 24, or 48 h post incubating cells and antibodies. (B) Dose-dependent response of the h83H7 and a control mAb in ADCC assay using Jurkat-NFAT-hCD16 effector at 2 × 105 cell/well with the same density of SFLfk. The data of h83H7 are identical with that in the corresponding conditions shown in (A). (C) Dose-dependent response of the h83H7 and a control mAb in ADCP assay using Jurkat-NFAT-hCD32 effector at 2 × 105 cell/well with the same density of SFLfk. Data in (A-C) are plotted as mean ± SD of 3 technical replicates. Dark shadows in (A-C) indicate a < 2-fold RLU increase.
Fig. 3Dose-dependent activities of representative mAbs against SARS-CoV-2 spike in ADCC (A) and ADCP (B) assays. A total of 9 SARS-CoV-2 spike mAbs and 1 control mAb were tested for their ADCC and ADCP activities in a dose-dependent manner. All mAbs were produced in ExpiCHO cells in the same human-IgG1 backbone. The 4A8 and NTD4–8 are NTD-mAbs, the S2P6 is an S2-mAb, and the remaining RBD-targeting mAbs. The Jurkat-NFAT-hCD16 (A) or Jurkat-NFAT-hCD32 (B) were used at 2 × 105 cell/well and effectors combined with SFLwt (red) or SFLfk (green) target cells at the same density. Data are plotted as mean ± SD of 3 technical replicates. Dark shadows indicate a < 2-fold RLU increase. Con., concentration. The EC2 values (the minimal concentration to achieve 2 × Luc induction fold) are shown to represent the potencies of mAbs in ADCC or ADCP assays for targeting SFLwt (red) or SFLfk (green) cells.
Fig. 4Quantitative measurements of ADCC and ADCP activities of human plasma samples. Distributions of bioluminescence inductions of 190 samples (at 1:4 dilution) from pre-COVID-19 healthy populations in ADCC (A) and ADCP (B) assays. (C) Correlation analyses of the ADCC (C) or ADCP (D) titers (ED2, maximum dilution fold to achieve ≥2-fold induction determined by the 4-PL fitting curve) and bioluminescence induction folds (at 1:8 dilution) in detecting 87 HCP samples from COVID-19 patients. (E) Comparison of the ADCC and ADCP titers (ED2) of 87 HCPs. Correlations between the titers (Y-axis) of ADCC (F) or ADCP (G) of 87 HCPs with their neutralizing antibody titers (X-axis).