Journal List > J Korean Med Sci > v.38(13) > 1516082168

Lim, Kim, Kim, Choi, Kim, Kim, Ji, Kim, Choo, Jung, Moon, Kim, Park, and Yun: Effects of Omicron Infection and Changes in Serum Antibody Response to Wild-Type, Delta, and Omicron After a Booster Dose With BNT163b2 Vaccine in Korean Healthcare Workers

Abstract

Background

Although the primary vaccine coverage rate for coronavirus disease 2019 (COVID-19) in South Korea has exceeded 80%, the coronavirus continues to spread, with reports of a rapid decline in vaccine effectiveness. South Korea is administering booster shots despite concerns about the effectiveness of the existing vaccine.

Methods

Neutralizing antibody inhibition scores were evaluated in two cohorts after the booster dose. For the first cohort, neutralizing activity against the wild-type, delta, and omicron variants after the booster dose was evaluated. For the second cohort, we assessed the difference in neutralizing activity between the omicron infected and uninfected groups after booster vaccination. We also compared the effectiveness and adverse events (AEs) between homologous and heterologous booster doses for BNT162b2 or ChAdOx1 vaccines.

Results

A total of 105 healthcare workers (HCWs) that were additionally vaccinated with BNT162b2 at Soonchunhyang University Bucheon Hospital were enrolled in this study. Significantly higher surrogate virus neutralization test (sVNT) inhibition (%) was observed for the wild-type and delta variants compared to sVNT (%) for the omicron after the booster dose (97%, 98% vs. 75%; P < 0.001). No significant difference in the neutralizing antibody inhibition score was found between variants in the BNT/BNT/BNT group (n = 48) and the ChA/ChA/BNT group (n = 57). Total AEs were not significantly different between the ChA/ChA/BNT group (85.96%) and the BNT/BNT group (95.83%; P = 0.11). In the second cohort with 58 HCWs, markedly higher sVNT inhibition to omicron was observed in the omicron-infected group (95.13%) compared to the uninfected group (mean of 48.44%; P < 0.001) after four months of the booster dose. In 41 HCWs (39.0%) infected with the omicron variant, no difference in immunogenicity, AEs, or effectiveness between homogeneous and heterogeneous boosters was observed.

Conclusion

Booster vaccination with BNT162b2 was significantly less effective for the neutralizing antibody responses to omicron variant compared to the wild-type or delta variant in healthy population. Humoral immunogenicity was sustained significantly high after 4 months of booster vaccine in the infected population after booster vaccination. Further studies are needed to understand the characteristics of immunogenicity in these populations.

Graphical Abstract

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INTRODUCTION

South Korea’s coronavirus disease 2019 (COVID-19) vaccination program was implemented in February 2021. BNT162b2 (Pfizer Biotech) and ChAdOx1-nCoV-19 (Oxford/AstraZeneca) were started at first, followed by mRNA-1273 (Modena) and JNJ-78436735 (Janssen) in the second quarter of 2021. With the nationwide schedule for vaccination, our medical center started immunizing with BNT162b2 and ChAdOx1 in March 2021, and to evaluate vaccine effectiveness in healthy healthcare workers (HCWs), a study analyzing neutralizing antibodies was conducted.1 As a result, both vaccines (BNT162b2 and ChAdOx1) showed a 100% antibody production rate after the primary vaccination, but ChAdOx1 showed a significant decrease in the protective immune response compared to BNT162b2 with more than 68% cutoff of surrogate virus neutralization test (sVNT) inhibition.
According to reports from the Korea Disease Control and Prevention Agency (KDCA), in December 2021, the first vaccine coverage rate was 83.7% of the total population in South Korea, and the second was 81.2%. However, variants of the alpha (B.1.1.7), beta (B.1.351), gamma (P.1.), and delta (B.1.617.2) were reported to reduce the effectiveness of the existing vaccine. The omicron (B.1.1.529), the most recent and dominant variant that appeared in November 2021, was reported to neutralize the vaccine effect. The existing variants and the continuous emergence of new variants have increased the need for an extra booster dose.23
Six months after the second dose vaccination, all medical staff at the center were given a booster dose with the BNT162b2. Existing studies have reported the side effects of cross-inoculation by a booster dose, and its effectiveness in prevention has yet to be determined. There are also questions as to how effective the current vaccine would be against variants.
The current study aimed to analyze the levels of neutralizing antibodies after booster vaccination in response to the wild type, delta, and omicron variants. We also examined the changes in immunogenicity against the omicron variants after COVID-19 infection, due to the rapid spread of omicron infections.

METHODS

Study design and participants

This study was designed as a follow-up study to a previously published cross-sectional cohort study.1 One hundred and five HCWs who had received the BNT162b2 booster vaccine and expressed voluntary participation were enrolled in the current study (Fig. 1). All participants had no history of COVID-19 infection or suspected symptoms at the time of registration.
Fig. 1

Flowchart of the COVID-19 vaccine study in HCW cohorts at Soonchunhyang University Bucheon Hospital.

COVID-19 = coronavirus disease 2019, HCW = healthcare worker, SARS-CoV-2 = severe acute respiratory syndrome coronavirus 2.
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Blood samples of participants in cohort 1 were collected at four weeks after the booster dose. The samples were analyzed with a commercial virus neutralization test kit (Genscript Biotech Corporation, Piscataway, NJ, USA), which was used in the previous study.1 Participants who consented to the study were given a self-administered questionnaire for adverse events of the booster vaccination. The questionnaire included the following information: gender, age, date of vaccination, previous history of COVID-19 infection, drug AEs, allergy, type and duration of AEs, use of medication, and need for medical attention (visit to outpatient clinic or emergency room).
During the study period, the omicron variant rapidly spread in South Korea and several HCWs in cohort 1 were confirmed with COVID-19. Therefore, additional blood samples were collected to compare the change in neutralizing antibody inhibition scores after omicron infection, and to assess the difference between omicron-infected and uninfected participants in cohort 2. The blood sampling was limited to HCWs who voluntarily consented at least three months after the booster dose.
For the control group, we used samples stored in the biobank of Soonchunhyang University Bucheon Hospital, which is a member of the Korea BioBank Network. The control group was comprised of healthy adults with no COVID-19 vaccinations and no confirmed COVID-19 infection.

Cohorts and groups

Cohort 1 evaluated the neutralizing antibody inhibition score against the wild type, delta, and omicron variants one month after the booster vaccine, and cohort 2 was a group for further study of the change in neutralizing antibody inhibition score against the omicron variant four months after the booster dose.
We defined primary vaccination as two doses (first and second dose) of BNT162b2 vaccine (Pfizer) or two doses of ChAdOx1 vaccine (AstraZeneca/Oxford), and the third dose as the booster vaccination. The BNT/BNT/BNT group was administered a booster dose with BNT162b2 (Pfizer) after two doses of the BNT162b2 (Pfizer) vaccine, three weeks apart. The ChA/ChA/BNT group was administered a booster dose with BNT162b2 (Pfizer) after two doses of the ChAdOx1 vaccine (AstraZeneca/Oxford), 12 weeks apart.

Serological assays

The ELISA-based sVNT was used to evaluate neutralizing activity against the wild-type SARS-CoV-2 and the variants of B.1.617.2 (delta) and B.1.1.529 (omicron). All detailed methods were described in the previous study.1

Statistical analysis

Statistical analyses were performed with GraphPad Prism software (version 9.3.1) and R software (version 4.0.2). All measurements and calculation data are presented as the mean ± standard deviation (SD), median, interquartile range, range for continuous variables, and frequency (percentage) for categorical variables. The nonparametric Kruskal-Wallis test was used to compare two or more independent groups for the continuous variables. Independent two-sample t-tests or χ2 tests were used for comparison of the independent group variables. The paired t-test was used for the one-subject variable. The repeated measure analysis of variance test was used to compare two or more dependent groups for the continuous variables. All tests were two-tailed, with P < 0.05 considered statistically significant.

Ethics statement

The study was approved by the Institutional Review Board (IRB) of Soonchunhyang University Bucheon Hospital (IRB No. 2021-12-017). Written consent was obtained from all enrolled participants.

RESULTS

A total of 105 HCWs were enrolled in this study. From the original 115 HCW participants in our previous study, one participant refused the additional blood sampling and nine no longer worked at the hospital. The mean age was 42.39 (24–72) years old, and the percentage of women was 78.1%. The ChA/ChA/BNT and BNT/BNT/BNT groups were comprised of 57 and 48 participants, respectively (Fig. 1).
Each group for ChA/ChA/BNT and BNT/BNT/BNT was comprised of 45 (78.95%) and 37 (77.08%) females, and the mean ± SD ages were 41.35 ± 12.68 and 43.62 ± 9.56 years, respectively (Table 1). Most participants had no history of allergies or anaphylaxis to drugs or foods (94.74% in the ChA/ChA/BNT and 81.25% in the BNT/BNT/BNT).
Table 1

Clinical characteristics of the study population

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Characteristics BNT162b2 booster (N = 105)
Age, years
Mean ± SD (range) 42.39 ± 11.37 (24–72)
Sex
Male 23 (21.9%)
Female 82 (78.1%)
Previous allergy/anaphylaxis history
None 93 (88.6%)
Drug/food 7 (6.7%)
Anaphylaxis to drug/food 2 (1.9%)
Vaccine allergy 2 (1.9%)
Vaccine anaphylaxis 1 (1.0%)
Previous COVID-19 vaccine type
ChAdOx1/ChAdOx1 57 (54.3%)
BNT162b2/BNT162b2 48 (45.7%)
Previous COVID-19 vaccine adverse reaction
None 12 (11.4%)
Any adverse events 93 (88.6%)
SD = standard deviation, COVID-19 = coronavirus disease 2019.

Serology results

To analyze the neutralizing antibody responses to the wild-type, delta, and omicron variants, sVNT inhibition was first measured in the control group with no previous COVID-19 vaccination and no confirmed COVID-19 infection. All subgroups of wild-type, delta, and omicron had negative serologic test results (P = 0.432; Fig. 2A).
Fig. 2

Neutralization effectiveness of the wild-type, delta, and omicron variants after the booster dose. Neutralizing antibody level measured by percent inhibition of sVNT readings at (A) negative control (unvaccinated) and (B) 4 weeks after booster vaccination.

sVNT = surrogate virus neutralization test.
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The sVNT inhibition (%) score to the wild-type variant was observed to be high and uniform (mean ± SD, 97.28 ± 4.37%; median, 97.91%; Q1/Q3 97.4/97.96) when the booster dose was given, which was sampled at one month after the shot. The sVNT inhibition (%) score for the delta variant was also high (mean ± SD, 98.08 ± 1.70%; median, 98.39%; Q1/Q3 98.24/98.54). However, the inhibition score to the omicron variant significantly decreased by 75% compared to the wild-type or delta variant (P < 0.001; Fig. 2B).
Comparing the differences in neutralization inhibition score, sVNT inhibition in the ChA/ChA/BNT group (mean ± SD, 96.83 ± 5.88%; median, 97.77%; Q1/Q3 97.33/97.91) and the BNT/BNT/BNT group (mean ± SD, 97.83 ± 0.64%; median, 97.96%; Q1/Q3 97.91/98.05) (P = 0.209) showed both high inhibition scores, but no significant differences between the groups (Table 2). There were no significant differences between the groups for the delta variant (mean ± SD, 98.00 ± 2.18% vs. 98.18 ± 0.86%, respectively; P = 0.566) and the omicron variant (mean ± SD, 72.18 ± 24.05% vs. 79.06 ± 21.40%, respectively; P = 0.124) as well.
Table 2

Serology results one month after booster vaccination according to previous vaccine type

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Variants ChA/ChA/BNT group (n = 57) BNT/BNT/BNT group (n = 48) P value
Wild-type
Seropositive, No (%) 57 (100.0%) 48 (100.0%)
sVNT inhibition, %
Mean ± SD 96.83 ± 5.88 97.83 ± 0.64 0.209 
Median 97.77 97.96 < 0.001
Q1, Q3 97.33, 97.91 97.91, 98.05
Range 53.27 to 98.06 94.73 to 98.15
Delta variant
Seropositive, No (%) 57 (100.0%) 48 (100.0%)
sVNT inhibition, %
Mean ± Std 98.00 ± 2.18 98.18 ± 0.86 0.566
Median 98.44 98.35 0.042
Q1, Q3 98.28, 98.59 98.24, 98.43
Range 84.10 to 98.65 92.88 to 98.62
Omicron variant
Seropositive, No (%) 52 (91.2%) 46 (95.8%)
sVNT inhibition, %
Mean ± SD 72.18 ± 24.05 79.06 ± 21.40 0.124
Median 81.44 85.76 0.094
Q1, Q3 66.46, 88.59 70.59, 95.06
Range 8.67 to 98.06 0.80 to 98.02
sVNT = surrogate virus neutralization test, SD = standard deviation.

AEs

AEs of the systemic or injection site after the booster dose are shown in Table 3. Within 28 days after the booster vaccination, 49 participants in the ChA/ChA/BNT group (85.96%) and 46 in the BNT/BNT/BNT group (95.83%) reported adverse events (P = 0.11). The most commonly reported adverse reaction in the two groups was injection site pain (68.4% and 60.4%, respectively). Systemic symptoms in the BNT/BNT/BNT group were reported slightly more often than the ChA/ChA/BNT group, followed by myalgia (58.3% vs. 52.6%), fatigue (47.9% vs. 33.3%), fever (35.4% vs. 17.5%), headache (33.3% vs. 28.1%), arthralgia (25.0% vs. 12.3%), and chills (22.9% vs. 14.0%). The BNT/BNT/BNT group had significantly higher levels of medications intakes to alleviate the side effects (79.2% vs. 54.4%, P = 0.01), and the most frequently used medication was acetaminophen (70.8% vs. 47.4%). Binary logistic regression analysis was performed to predict adverse reactions after a booster dose of COVID-19 and variables including sex, age, previous vaccine type, previous allergy history, primary vaccination side effects. The only significant risk factor for adverse reactions to the booster vaccine was age, and the probability of significance was 0.037. As the age increased by 1, the probability of adverse reactions from the booster vaccine decreased by 0.943 times (Supplementary Table 1).
Table 3

Adverse reactions within 28 days after booster vaccine dose

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Adverse reactions ChA/ChA/BNT BNT/BNT/BNT P value
group (n = 57) group (n = 48)
Any AE 49 (86.0%) 46 (95.8%) 0.106
Systemic AEb
Fever 10 (17.5%) 17 (35.4%)
Chills 8 (14.0%) 11 (22.9%)
Myalgia 30 (52.6%) 28 (58.3%)
Headache 16 (28.1%) 16 (33.3%)
Nausea 0 (0.0%) 5 (10.4%)
Fatigue 19 (33.3%) 23 (47.9%)
Joint pain 7 (12.3%) 12 (25.0%)
Dyspnea 1 (1.8%) 3 (6.3%)
Dizziness 2 (3.5%) 3 (6.3%)
Itching 3 (5.3%) 1 (2.1%)
Dysmennorrhea 0 (0.0%) 2 (4.2%)
Lymphadenopathy 0 (0.0%) 4 (8.3%)
Abdominal pain 1 (1.8%) 1 (2.1%)
Diarrhea 1 (1.8%) 1 (2.1%)
Anaphylaxisa 0 (0.0%) 0 (0.0%)
Injection site AEb
Pain 39 (68.4%) 29 (60.4%)
Heating sense or redness 7 (12.3%) 10 (20.8%)
Swelling 6 (10.5%) 8 (16.7%)
Timing of AE after vaccination 0.417
Within 3 hours 5 (8.8%) 5 (10.4%)
3–6 hours 9 (15.8%) 4 (8.3%)
6–12 hours 19 (33.3%) 22 (45.8%)
12–24 hours 11 (19.3%) 8 (16.7%)
24–48 hours 4 (7.0%) 6 (12.5%)
After 48 hours 1 (1.8%) 1 (2.1%)
Duration of AE 0.264
< 24 hours 10 (17.5%) 7 (14.6%)
24–48 hours 26 (45.6%) 24 (50.0%)
48–72 hours 7 (12.3%) 12 (25.0%)
72 hours–5 days 4 (7.0%) 1 (2.1%)
More than 5 days 2 (3.5%) 2 (4.2%)
Use of medicationb 0.014
Any 31 (54.4%) 38 (79.2%)
Acetaminophen 27 (47.4%) 34 (70.8%)
Ibuprofen 4 (7.0%) 7 (14.6%)
Anti-histamine 0 (0.0%) 2 (4.2%)
Steroid 0 (0.0%) 1 (2.1%)
Visit to hospital 0.092
None 57 (100.0%) 45 (93.8%)
Outpatient clinic 0 (0.0%) 2 (4.2%)
Emergency room 0 (0.0%) 1 (2.1%)
Admission 0 (0.0%) 0 (0.0%)
AE = adverse event.
aAnaphylaxis is diagnosed by a doctor; bAllow double dose.

Vaccine effectiveness against the omicron variant after the booster

Of the total 105 HCWs enrolled in the study, 41 (39.0%) were confirmed to be infected with the omicron variant. The period from booster dose administration to confirmation of the omicron infection was 90.9 ± 20.68 days (Fig. 3), with 18 cases (31.6%) in the ChA/ChA/BNT group and 23 cases (47.9%) in the BNT/BNT/BNT group. There was no significant difference in effectiveness for the omicron variant between the two groups (P = 0.131). However, when comparing the time to infection of the omicron variant between the groups, the ChA/ChA/BNT group, with an average of 74.67 ± 14.68 days, was significantly shorter than 103.61 ± 15.04 days in the BNT/BNT/BNT group (P < 0.001). The follow-up period was 134.65 ± 3.77 days in the BNT/BNT/BNT group and 116.54 ± 0.98 days in the ChA/ChA/BNT group.
Fig. 3

A daily number of SARS-CoV-2 infections according to the period from booster vaccination to breakthrough infection (A) and over time after booster vaccination (B).

SARS-CoV-2 = severe acute respiratory syndrome coronavirus 2.
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Changes in immune response before and after omicron infection

In a total of 58 HCWs in cohort 2, 33 had confirmed omicron infections, and 25 were uninfected (Table 4). At follow-up, sVNT inhibition was significantly reduced in the uninfected group (mean ± SD, 48.44 ± 33.64%; median, 48.1%; Q1/Q3 21.07/80.39) compared to the omicron-infected group (mean ± SD, 95.13 ± 3.47%; median, 96.48%; Q1/Q3 93.46/97.73) (P < 0.001). In the omicron-infected group, there was no difference in sVNT inhibition between subgroups divided according to the period after infection: within one month vs. more than one month after infection (Table 4). Thirty-three patients infected with omicron showed a significant increase in sVNT inhibition score after the omicron infection (P < 0.001; Fig. 4A). In contrast, 25 HCWs of the uninfected group showed a significant decrease in the omicron sVNT levels at four months after the booster dose compared to one month (P = 0.001; Fig. 4B). The sVNT inhibition against the omicron variant was measured by adding the difference of the inoculated vaccine types to the presence or absence of the omicron infection, and the whole samples were subsequently divided into four groups: BNT/BNT/BNT group-noninfected COVID-19 (n = 14), BNT/BNT/BNT group-infected COVID-19 (n = 20), ChA/ChA/BNT group-noninfected COVID-19 (n = 11), and ChA/ChA/BNT group-infected COVID-19 (n = 13) (Fig. 5). No differences were observed between vaccine types in any of the four groups. Within the group of the BNT/BNT/BNT, sVNT inhibition of the omicron variant in the infected COVID-19 group was significantly higher than the uninfected group (absence) with P < 0.001 difference.
Table 4

Comparison of the serological results of the omicron variant between SARS-CoV-2-infected and uninfected subjects after booster vaccination

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sVNT inhibition, % SARS-CoV-2 uninfected subjects (n = 25) SARS-CoV-2 infected subjects (n = 33) P value
< 30 days after infection (n = 13) > 30 days after infection (n = 20)
Mean ± SD 48.44 ± 33.64 94.7 ± 3.67 95.41 ± 3.40 < 0.001
Median 48.1 96.11 96.76 < 0.001
Q1, Q3 21.07, 80.39 93.31, 97.73 94.34, 97.69
Range −4.02 to 98.22 87.59 to 98.19 86.70 to 98.40
SARS-CoV-2 = severe acute respiratory syndrome coronavirus 2, sVNT = surrogate virus neutralizing test, SD = standard deviation.
Fig. 4

The pattern changes in sVNT inhibition (%) scores between omicron-infected (A) and uninfected individuals (B). Subsequent titers were measured 127.31 ± 9.77 days after booster vaccination in both groups (n = 33, n = 25).

sVNT = surrogate virus neutralization test, SARS-CoV-2 = severe acute respiratory syndrome coronavirus 2.
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Fig. 5

Neutralizing antibody level measured by sVNT inhibition of omicron in four groups. Each of the four groups consists of uninfected or infected with omicrons in the BNT/BNT/BNT or ChA/ChA/BNT group, respectively. Sequent titers were measured 128.61 ± 9.15 days after booster vaccination. Group A: BNT/BNT/BNT group-noninfected COVID-19 (n = 14), Group B: BNT/BNT/BNT group-infected COVID-19 (n = 20), Group C: ChA/ChA/BNT group-noninfected COVID-19 (n = 11), and Group D: ChA/ChA/BNT group-infected COVID-19 (n = 13).

sVNT = surrogate virus neutralization test, COVID-19 = coronavirus disease 2019.
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DISCUSSION

The current study showed that the neutralizing activity against the omicron variant after a booster dose was significantly lower than the wild type or delta variants (75% vs. 98%, P < 0.001). There was no difference in reduced humoral immunogenicity against the omicron variant between the ChA/ChA/BNT group and the BNT/BNT/BNT group. Our results are supported by a recent study showing that the neutralizing activity for omicron was 6 to 23 times lower than delta with the BNT162b2 (Pfizer) booster.4 In December 2021, the UK Health Security Agency (UKHSA) announced the delta variant prevention rates in the ChA/ChA/BNT group as 94% and the BNT/BNT/BNT group as 93%, but the omicron variant showed rates of 71% in the ChA/ChA/BNT group and 76% in the BNT/BNT/BNT group.5 Although the current study for sVNT inhibition values used a surrogate antibody, the delta variant prevention rates were 98% for the ChA/ChA/BNT group and the 98% for the BNT/BNT/BNT group and the omicron variant prevention rates were 72% for the ChA/ChA/BNT group and 79% for the BNT/BNT/BNT group.
While observing that both homogeneous and heterogeneous boosters have low sVNT levels against the omicron variant (mean sVNT 72% in the ChA/ChA/BNT group vs. 79% in the BNT/BNT/BNT group), interestingly, among the 41 participants with omicron infections, those with a heterogenous booster were infected in a shorted period of time than those with a homogenous booster (75 vs. 104 days, P < 0.001). Such a result may imply that early vaccine effectiveness against the omicron variant in the ChA/ChA/BNT group was lower than that in the BNT/BNT/BNT group. However, the time difference between homogeneous boosters and heterogeneous boosters seems unclear. Thus, the reduced effectiveness of the booster vaccine is probably related to increased omicron transmissibility rather than enhanced immunologic escape after the booster vaccination, as suggested by Yu et al.6
This is the first study to examine the change in neutralizing antibody inhibition scores after a breakthrough omicron infection after the third vaccination (booster dose). In addition, we compared the change in neutralizing antibody inhibition scores in the uninfected group in the cohort corresponding to the same conditions. There was a significant decrease in the sVNT inhibition level four months after the third booster vaccine, however, a dramatic increase was observed after a breakthrough infection. Of course, additional research is needed to determine the meaning of the sVNT inhibition level raised after infection. We are conducting further studies to determine the duration of antibody maintenance and the ability to prevent infection in this subset of populations.
According to the announcement by the KDCA on July 19, 2022, 2.8% of confirmed COVID-19 patients were reinfected, and 97% were first infections.7 Our results support the evidence for a COVID-19 resurgence. The inhibition level of neutralizing antibodies against omicron in the breakthrough omicron-infected group (95%) was almost identical to wild type (97%) or delta variants (98%) after the third booster vaccination. Of course, there are variables such as cross-immune reactions, but additional research is required to determine whether there will be a uniform or increased neutralizing antibody inhibition score after a fourth vaccination (booster dose) using the original vaccine in the noninfected group.
This study used a sVNT, which showed a correlation with the gold standard for cell culture-based neutralization assays.18910 Delta and omicron variants were evaluated in the same way using the sVNT. Although there are few studies using sVNT for novel variants,11 a recent study showed that the neutralizing antibody inhibition score against the delta variant, which was measured by sVNT, strongly correlated with pseudotyped virus neutralization tests.12 As mentioned above, the inhibition score of neutralizing antibody in our study was consistent with the effectiveness of real vaccines reported by the UKHSA. It can be seen that the sVNT method is helpful in reflecting actual vaccine effectiveness against delta and omicron variants.
Although this study has the advantage of using real-world data on a group of HCWs in South Korea, it has some limitations. First, due to the characteristics of the study subjects including a relatively larger number of young women, the results of this study may not be generalized to other populations. The follow-up periods of the ChA/ChA/BNT and BNT/BNT/BNT groups were also different because homologous and heterogeneous booster vaccines were not equally available, resulting in a time difference of one month. In addition, we could not confirm whether the COVID-19 infected HCWs had omicron variants due to difficulties in analyzing the whole genome sequencing of infected cases in our hospital. However, the COVID-19 infection of our subjects mainly occurred for a month from the end of February 2022, and according to a press release from the KDCA on April 12, 2022, the detection rate of omicron in the third week of February 2022 was 98.9%, and the first week of April was 100%,13 therefore, we could infer that most of the HCWs infected at the time were infected with the omicron variant. Finally, cellular immune responses that may affect cross-immune responses have not been evaluated.
Recently, the rapid transmission of BA.2, BA.4, and BA.5 in omicron sublineages with additional mutations has been reported. There are also controversies over the pros and cons of the fourth additional vaccination using the original vaccine. The additional vaccination may be helpful to those with weakened immunity or due to disease or age. However, recommendations for booster vaccination in populations that became infected after booster vaccination are still foggy.14
In conclusion, booster vaccination with BNT162b2 is less effective in terms of humoral immunogenicity against the omicron variant compared to wild-type or delta variants. However, booster vaccines are still recommended in the absence of a variant-specific vaccine, as they are significantly effective in preventing severe diseases, especially in a high-risk population. In addition, research is needed to identify the immunological characteristics of a group that does not belong to the high-risk population and has hybrid immunity through COVID-19 infection after booster vaccination.

Notes

Funding: This study was supported by the Soonchunhyang University Research Fund (2023-0032).

Disclosure: The authors have no potential conflicts of interest to disclose.

Author Contributions:

  • Conceptualization: Yun J.

  • Formal analysis: Lim SH.

  • Investigation: Kim HJ, Kim SH, Choi SH, Kim B, Kim JY, Ji YS, Kim T, Choo EJ, Jung JC, Moon JE, Kim CK, Park SK.

  • Writing - original draft: Lim SH.

  • Writing - review & editing: Yun J.

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SUPPLEMENTARY MATERIAL

Supplementary Table 1

Binary logistic regression for prediction of AE after booster of COVID-19 vaccine
jkms-38-e103-s001.doc
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