Background: The newly emerged SARS‐CoV‐2 possesses shared antigenic epitopes with other human coronaviruses. We investigated if COVID‐19 vaccination or SARS‐CoV‐2 infection may boost cross‐reactive antibodies to other human coronaviruses. Methods: Prevaccination and postvaccination sera from SARS‐CoV‐2 naïve healthy subjects who received three doses of the mRNA vaccine (BioNTech, BNT) or the inactivated vaccine (CoronaVac, CV) were used to monitor the level of cross‐reactive antibodies raised against other human coronaviruses by enzyme‐linked immunosorbent assay. In comparison, convalescent sera from COVID‐19 patients with or without prior vaccination history were also tested. Pseudoparticle neutralization assay was performed to detect neutralization antibody against MERS‐CoV. Results: Among SARS‐CoV‐2 infection−naïve subjects, BNT or CV significantly increased the anti‐S2 antibodies against Betacoronaviruses (OC43 and MERS‐CoV) but not Alphacoronaviruses (229E). The prevaccination antibody response to the common cold human coronaviruses did not negatively impact the postvaccination antibody response to SARS‐CoV‐2. Cross‐reactive antibodies that binds to the S2 protein of MERS‐CoV were similarly detected from the convalescent sera of COVID‐19 patients with or without vaccination history. However, these anti‐S2 antibodies do not possess neutralizing activity in MERS‐CoV pseudoparticle neutralization tests. Conclusions: Our results suggest that SARS‐CoV‐2 infection or vaccination may potentially modulate population immune landscape against previously exposed or novel human coronaviruses. The findings have implications for future sero‐epidemiological studies on MERS‐CoV.
Keywords: convalescent sera; COVID‐19 vaccines; cross‐reactive antibody; human coronaviruses; SARS‐CoV‐2
SARS‐CoV‐2 is a newly emerged human coronavirus (HCoV) that has rapidly swept through the globe and resulted in significant public health and socioeconomic loss. As a member of the genus Betacoronavirus, SARS‐CoV‐2 possesses shared epitopes with other HCoVs including the common cold Alphacoronaviruses (229E and NL63) and Betacoronaviruses (OC43 and HKU1), as well as two newly emerged Betacoronaviruses, SARS‐CoV‐1 in 2002 and MERS‐CoV in 2012 [[
Since 2020, 7.7 billion SARS‐CoV‐2 infected and re‐infected cases have been reported to WHO and 13.6 billion doses of COVID‐19 vaccines have been administered globally. The extensive exposure to SARS‐CoV‐2 through infection and immunization may substantially affect the population immune landscape and susceptibility to other HCoVs. The pre‐existing immunity to common cold HCoVs may potentially result in back‐boosting of antibodies against the conserved S2 epitopes upon SARS‐CoV‐2 infection or vaccination as reported previously [[
While the spike‐encoding mRNA and the whole‐virion inactivated vaccines have been the main COVID‐19 vaccines administered globally to date, most studies so far have focused on the effect of mRNA vaccines. The mRNA vaccines adopted the prefusion conformation of the spike protein while the prefusion and postfusion conformations have been reported for the inactivated vaccines [[
Sera were collected from healthy subjects enrolled in a longitudinal study for monitoring population immunity to SARS‐CoV‐2 infection and vaccination in Hong Kong. The study was approved by the institutional review board of the Hong Kong West Cluster of the Hospital Authority of Hong Kong (Reference No.: UW20–169) and the Joint Chinese University of Hong Kong‐New Territories East Cluster Clinical Research Ethics Committee (Reference No.: 2020.229). Enrolled participants were followed up every 6 months for sera collection and self‐reported SARS‐CoV‐2 infections that have been RT‐PCR confirmed. Prevaccination and postvaccination sera were collected from age‐matched individuals who received three doses of BioNTech (BNT) (n = 20) or three doses of CoronaVac (CV) (n = 21) in 2021–2022. The prevaccination sera were collected on the day of receiving the first dose of the BNT or CV vaccine, and the postvaccination sera were collected 4–8 weeks after receiving the third dose of the vaccine.
Due to the "Zero‐COVID" policy adopted in Hong Kong, the majority of the population have remain uninfected until the 5th wave of COVID‐19 outbreak by Omicron BA.2. During this outbreak from January to July 2022, approximately 45% of the Hong Kong population was infected while the previously 4 waves of outbreaks only resulted in <1% cumulative infection attack rate [[
1 TABLE Demographics of study participants.
Study participants Sample size Age range (median, SD) Male to female ratio Mean days postbreakthrough infection (SD) Postvaccination sera without prior infection history Three doses of BNT 20 27–70 (47.5, 12.4) 7:13 Not applicable Three doses of CV 21 27–73 (49.0, 12.1) 8:13 Not applicable Convalescent sera SARS‐CoV‐2 infection without vaccination 20 21–72 (57.0, 17.6) 7:13 Not applicable SARS‐CoV‐2 infection plus 2 doses of BNT 10 20–76 (55.0, 17.0) 8:2 Not applicable SARS‐CoV‐2 infection plus 2 doses of CV 10 48–81 (56.0, 11.6) 6:4 Not applicable Two doses of BNT followed by SARS‐CoV‐2 infection 10 25–73 (33.0, 14.8) 5:5 32 (13.9) Two doses of CV followed by SARS‐CoV‐2 infection 10 24–71 (64.0, 14.7) 4:6 41 (7.6) 2019 prepandemic control sera 20 17–56 (31.0, 11.4) 11:18 Not applicable
1 a The prevaccination sera were collected on the day of receiving the first dose of the BNT or CV vaccine, and the postvaccination sera were collected 4–8 weeks after receiving the third dose of the vaccine. All sera were collected in 2021–2022.
2 b Convalescent sera were collected from January 24, 2022, and March 15, 2022, during the 5th wave of the outbreak in Hong Kong. Control sera were collected in 2019.
MaxiSorp 96‐well plates (Thermo Fisher) were coated with 0.1 μg recombinant spike [S1, S2, or full‐length S (S1 + S2), as indicated] or nucleocapsid proteins of OC43, 229E, SARS‐CoV‐2, or MERS‐CoV (Sino Biological) per well overnight at 4°C. The plates were washed with PBST (PBS containing 0.05% Tween 20) and blocked with blocking buffer (5% nonfat milk in PBST) for 2 hours. Human sera were heat treated at 56°C for 30 min and were serially threefold diluted from 1:100 to 1:2700 with blocking buffer. Diluted sera (100 μL per well) were added in duplicate to the plate and incubated for 1 hour, followed by detection using 1:10000 diluted HRP‐conjugated goat anti‐human IgG secondary antibody (100 μL per well). TMB substrate (100 μL per well) (Thermo Scientific) was added to the plate for colorimetric signal formation for 10 min and stopped by adding 50 μL per well of 2 M sulphuric acid. Plates were read at wavelength of 450 nm for absorbance (OD 450 nm). In each ELISA plate, the mean OD 450 nm from wells without human sera (n = 8 per plate) was calculated as the background. The area under the curve (AUC) was calculated for each serially diluted sera after subtracting the background.
Luciferase expressing HlV/MERS‐RBD pseudoparticles (5 ng of p24) were preincubated with 1:10 diluted sera at 4°C for 30 min before the mixture was added to Vero E6 cells in triplicates. Infection was determined by quantifying the firefly luciferase activity at 2 days postinfection (Promega Corporation) using the Microbeta luminometer (PerkinElmer). Serum that gave ≥90% reduction of the maximal luciferase activity (e.g., in the absence of antibody) was regarded as the positive. Serum samples were first tested at 1:10 dilution; any sample with a positive signal at 1:10 dilution was further tested to determine the endpoint of inhibition. The highest serum dilution that gave ≥90% reduction of the maximal luciferase activity (e.g., in the absence of antibody) was regarded as the ppNT antibody titre [[
The difference of grouped AUC of prevaccination and postvaccination against each antigen within vaccination group was analyzed with the Wilcoxon test. The individual AUC difference between prevaccination and postvaccination of the same individual was calculated and compared with the AUC difference between two vaccination groups with the Mann–Whitney test. Correlation between AUC ratio of samples against SARS‐CoV‐2 versus other Human Coronaviruses were analyzed using Spearman's rank correlation. The statistical significance of all statistical tests was set at p < 0.05.
We first compared the pre–COVID‐19 and post–COVID‐19 vaccination antibody responses toward various HCoVs among individuals who have not been previously infected with SARS‐CoV‐2. The study population would have been exposed to OC43 and 229E since birth, and SARS‐CoV‐2 exposure may back‐boost antibody response against common epitopes shared with OC43 and 229E. However, the study population should had very limited prior exposure to MERS‐CoV, which would help to ascertain if the cross‐reactive antibody response was de novo post–SARS‐CoV‐2 exposure.
Both BNT (Figure 1A) and CV (Figure 1B) vaccinees showed significant increase of antibody AUC against the spike protein of Betacoronaviruses after vaccination, including SARS‐CoV‐2 (S1 + S2), MERS‐CoV (S2), and OC43 (S2). In contrast, the postvaccination sera showed a modest, but significant decrease in median antibody AUC against Alphacoronavirus 229E (S1), possible suggesting a waning antibody response over time. Only CV vaccinees showed significantly increased antibody AUC against the nucleocapsid (N) protein of SARS‐CoV‐2, MERS‐CoV and 229E (Figure 1B). Comparing the BNT and CV vaccination responses (Figure 1C), BNT induced significantly greater S‐binding antibody for SARS‐CoV‐2 (S1 + S2) and MERS‐CoV (S2), while CV induced significantly greater N‐binding antibodies for SARS‐CoV‐2, MERS‐CoV, OC43, and 229E.
Prevaccination sera showed high baseline binding antibodies for OC43 and 229E (Figure 1A, B). As the baseline antibody titres toward common cold HCoVs may affect the postexposure antibody response against SARS‐CoV‐2 [[
The BNT vaccinees' postvaccination antibody AUC against S of SARS‐CoV‐2 was positively correlated with the postvaccination anti‐MERS‐CoV‐S2 (Spearman's ρ = 0.63, p < 0.01) and anti‐OC43‐S1 + S2 (Spearman's ρ = 0.57, p < 0.01) responses (Figure 2B). For CV vaccinees, the postvaccination antibody AUC against S of SARS‐CoV‐2 was positively correlated with anti‐OC43‐S1 + S2 response (Spearman's ρ = 0.47, p < 0.05), and their postvaccination antibody AUC against N of SARS‐CoV‐2 was positively correlated with anti‐MERS‐N response (Spearman's ρ = 0.73, p < 0.001) (Figure 2B). Taken together, both the mRNA or inactivated COVID‐19 vaccines may boost antibody responses against conserved epitopes shared with previously exposed (OC43) or novel (MERS‐CoV) Betacoronaviruses.
We further investigated if SARS‐CoV‐2 infection may similarly boost cross‐reactive antibody response against MERS‐CoV S and N proteins (Figure 3A). Convalescent sera from SARS‐CoV‐2 patients without a history of COVID‐19 vaccination (n = 20), those who have been infected and vaccinated (n = 20), and those who were vaccinated and had a breakthrough infection (n = 20) were compared with prepandemic sera collected from healthy adults in 2019 (n = 20). Compared with the prepandemic sera (using the mean + 3SD AUC value as threshold), 41 out of 60 (71.7%) convalescent sera showed increased antibody against MERS‐CoV S2, while 6 of 60 (10%) showed increased antibody against MERS‐CoV S1. In regard to the antibody response to the S2 protein of MERS‐CoV‐2, those who were vaccinated followed by a breakthrough infection generally showed higher AUC than those who were infected without vaccination history, although the differences were not significant. In addition, those who were infected followed by BNT vaccination showed greater anti‐S2 antibody response than those who were infected followed by CV vaccination, suggesting that BNT vaccination may better expand the breath of antibody response than CV vaccination among those who were infected. Compared with the prepandemic sera, increase in the anti‐N protein antibody AUC was also observed from those who were infected followed by CV vaccination or those who were CV vaccinated followed by breakthrough infection.
Pseudoparticle neutralization test (ppNT) was used to evaluate if the cross‐reactive anti‐S2 antibodies possess neutralizing activity against MERS‐CoV (Figure 3B). None, except one subject who was vaccinated with BNT followed by SARS‐CoV‐2 infection, showed neutralizing antibody at 1:10 dilution using ppNT assay. Despite being nonneutralizing, sera from subjects with CV vaccination followed by infection (mean ± SD % inhibition = 44.6 ± 27.8) showed greater inhibition against MERS‐CoV than the sera of prepandemic controls (15.3 ± 16.9) (Kruskal–Wallis test, p = 0.0435). Taken together, these results suggest that the majority of the cross‐reactive anti‐MERS‐CoV‐S2 antibodies detected after vaccination or infection were nonneutralizing.
Majority of the global population have been exposed to SARS‐CoV‐2 through infection or vaccination to date. As SARS‐CoV‐2 share common epitopes with other HCoVs, it is anticipated that SARS‐CoV‐2 exposure may boost cross‐reactive antibodies toward other HCoV. Using the prevaccination and postvaccination sera of un‐infected subjects, we show that both the mRNA vaccine (BNT) and the inactivated vaccine (CV) increased cross‐reactive antibodies against the S2 protein of the two Betacoronaviruses, OC43 and MERS‐CoV, but not Alphacoronavirus 229E. CV vaccination further boosted anti‐N protein antibodies against MERS‐CoV and 229E. The antibody response against S2 protein of MERS‐CoV were also detected from 41 out of 60 (71.7%) convalescent sera of SARS‐CoV‐2 patients with or without COVID‐19 vaccination history. Our results are in line with a recent study that detected high prevalence of cross‐reactive antibodies to spike proteins of viruses in the Orthocoronavirinae among the post–COVID‐19 population [[
The high level pre‐existing antibodies against OC43 and 229E generated from prior infection or vaccination have been shown to impact on the de novo humoral responses against SARS‐CoV‐2 [[
Both COVID‐19 vaccines back‐boosted antibodies against the S2 domain of OC43, which aligned with the results reported from previous studies [[
This study is limited by its cross‐sectional study design and each study subject was only assessed at a single time point. However, our study population was unique as the majority of the Hong Kong population have remained uninfected until January 2022 by a large outbreak of Omicron BA.2, which infected around 45% of the population [[
The ppNT assay that utilizes pseudovirus that express the full‐length spike would allow detection of neutralizing antibodies targeting the receptor binding domain (RBD) and S2 domain of MERS‐CoV. The results showed that the anti‐MERS‐CoV antibodies were nonneutralizing. Further studies are needed to evaluate if these cross‐reactive antibodies possess Fc‐mediated effector functions and confer protection in vivo.
Richard S. H. Lee: data curation, formal analysis, investigation, writing–original draft. Samuel M. S. Cheng: investigation. Jin Zhao: investigation. Annie Y. S. Tsoi: investigation. Kaman K. M. Lau: investigation. CoCo H. C. Chan: investigation. John K. C. Li: investigation. David S. C. Hui: resources. Malik Peiris: formal analysis, funding acquisition, resources, writing–review and editing. Hui‐Ling Yen: conceptualization, formal analysis, project administration, supervision, writing–original draft, writing–review and editing.
This study was supported by the HKU URC Seed Funding for Strategic Interdisciplinary Research Scheme 2021/22, Contract (U01AI151810) of NIAID, National Institutes of Health, USA, and the Theme‐based Research Scheme (#T11‐705/21‐N) of the Research Grants Council of the Hong Kong SAR Government, China.
The study was approved by the institutional review board of the Hong Kong West Cluster of the Hospital Authority of Hong Kong (Reference No. UW20‐169) and the Joint Chinese University of Hong Kong‐New Territories East Cluster Clinical Research Ethics Committee (Reference No. 2020.229).
The authors declare no conflicts of interest.
Data are available upon request from the corresponding author.
The peer review history for this article is available at https://
By Richard S. H. Lee; Samuel M. S. Cheng; Jin Zhao; Annie Y. S. Tsoi; Kaman K. M. Lau; CoCo H. C. Chan; John K. C. Li; David S. C. Hui; Malik Peiris and Hui‐Ling Yen
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