Literature DB >> 36040882

Neutralizing-antibody response to SARS-CoV-2 for 12 months after the COVID-19 workplace outbreaks in Japan.

Azumi Ishizaki1, Xiuqiong Bi1, Quynh Thi Nguyen1, Tomomi Maeno2, Akinori Hara3,4, Hiroyuki Nakamura3,4, Sanae Kuramoto5, Koichi Nishi6, Hiroyasu Ooe7, Hiroshi Ichimura1.   

Abstract

This study aimed to elucidate the 12-month durability of neutralizing antibodies (NAbs) against severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in patients infected during the 2020 workplace outbreaks of coronavirus disease 2019 (COVID-19) in Japan. We followed 33 Japanese patients infected with SARS-CoV-2 in April 2020 for 12 months (12M). Patients were tested for NAbs and for antibodies against the SARS-CoV-2 nucleocapsid (anti-NC-Ab) and antibodies against the spike receptor-binding domain (anti-RBD-Ab). Tests were performed at 2M, 6M, and 12M after the primary infection (api) with commercially available test kits. In 90.9% (30/33) of patients, NAbs persisted for 12M api, though the median titers significantly declined from 78.7% (interquartile range [IQR]: 73.0-85.0%) at 2M, to 59.8% (IQR: 51.2-77.9) at 6M (P = 0.008), and to 56.2% (IQR: 39.6-74.4) at 12M (P<0.001). An exponential decay model showed that the NAb level reached undetectable concentrations at 35.5 months api (95% confidence interval: 26.5-48.0 months). Additionally, NAb titers were significantly related to anti-RBD-Ab titers (rho = 0.736, P<0.001), but not to anti-NC-Ab titers. In most patients convalescing from COVID-19, NAbs persisted for 12M api. This result suggested that patients need a booster vaccination within one year api, even though NAbs could be detected for over two years api. Anti-RBD-Ab titers could be used as a surrogate marker for predicting residual NAb levels.

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Year:  2022        PMID: 36040882      PMCID: PMC9426944          DOI: 10.1371/journal.pone.0273712

Source DB:  PubMed          Journal:  PLoS One        ISSN: 1932-6203            Impact factor:   3.752


Introduction

Coronavirus disease 2019 (COVID-19), caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), emerged in December 2019, and has caused a global pandemic [1]. Humoral immune responses, particularly antibodies specific to the receptor-binding domain (RBD) in the spike protein of SARS-CoV-2, play an important role in viral neutralization and clearance [2]. Several longitudinal cohort studies of patients with COVID-19 from China, the US, and Thailand have shown that neutralizing antibody (NAb) titers reached a peak around one month post-symptom onset, then declined, but they remained detectable for 12–13 months (12–13 M) post-symptom onset in over 95% of patients convalescing from COVID-19 [3-6]. Previous studies of four seasonal coronaviruses showed that humoral immunities against the viruses were short-lasting, and re-infections by the same coronavirus could occur within an interval of 12 M [7, 8]. SARS-CoV-2 re-infections were reported in 11%–16% of patients convalescing from COVID-19 within 6 M after the primary infection in large, population-based studies in the UK and US [9, 10]. To understand the long-term kinetics of humoral immune responses to primary SARS-CoV-2 infections, it is essential to evaluate the risk of re-infection and determine the appropriate timing for booster vaccinations, if necessary, to prevent re-infections. This study aimed to elucidate the durability of antibodies against SARS-CoV-2, including antibodies against the nucleocapsid protein (anti-NC-Ab), antibodies against the RBD in the spike protein (anti-RBD-Ab), and neutralizing antibodies (NAbs). The test cohort included individuals infected with SARS-CoV-2 during the COVID-19 workplace outbreaks, which occurred in Ishikawa prefecture, Japan, in April 2020.

Methods

Study population and schedule for specimen collections

We recruited employees that acquired confirmed SARS-CoV-2 infections during the two outbreaks of COVID-19, which occurred at two workplaces in Ishikawa, Japan, in April 2020 (index cases). SARS-CoV-2 infections were confirmed with reverse transcription polymerase chain reaction (RT-PCR) tests for detecting viral RNA. We also recruited “close contacts”, defined as individuals who had been in close contact with an index case without taking necessary infection prevention measures, such as wearing a mask, practicing social distancing, and so on. Close contacts were identified by the contact-tracing surveillance team of the local government in Ishikawa Prefecture, Japan, and included all household members of the index cases. Close contacts underwent RT-PCR tests for SARS-CoV-2, based on the circumstances of their contact with the index case(s) and their clinical symptoms [11]. All household members of the index case underwent RT-PCR tests. Blood specimens were collected from index patients between June and July 2020, 2–3 M after the COVID-19 outbreak in the workplace. Individuals that showed positive anti-NC-Ab results at 2 M were followed at 6 M (i.e., in November and December 2020) and at 12 M (i.e., in April 2021) after the workplace outbreaks.

Laboratory procedures

After blood collection, sera were separated by centrifugation at 3000 × g for 10 min and stored at −80°C until use. Anti-NC-Ab and anti-RBD-Ab were quantified with electrochemiluminescence immunoassays, Elecsys® Anti-SARS-CoV-2 (S300) RUO and Elecsys® Anti-SARS-CoV-2 S (S300) RUO (Roche Diagnostics, IN, USA), respectively. These assays were performed with a fully automated Cobas 8000 Analyzer Series Module e801 (Roche Diagnostics). Results are expressed in terms of a cutoff index (COI) or a cutoff concentration. The presence of anti-NC-Ab was positive when the detection value was ≥1.0 COI, and the presence of anti-RBD-Ab was positive when the detection value was ≥0.8 U/mL. The ability of NAbs to inhibit SARS-CoV-2 binding to its target was quantified, in duplicate, with an enzyme-linked immunosorbent assay (ELISA)-based SARS-CoV-2 Surrogate Virus neutralization Test (sVNT) Kit (GenScript, Jiangsu, China) [12]. The cutoff level (lower limit of quantification) for the positive detection of NAbs was set at 30% inhibition, according to manufacturer instructions.

Statistical analysis

Statistical analyses were performed with SPSS version 25 (SPSS Japan Inc., Tokyo, Japan). The chi-squared test or Fisher’s exact test and Mann-Whitney U test were performed to assess differences between groups. Changes in antibody levels were compared between paired samples with the Friedman test, and the Bonferroni correction was applied in post hoc analyses. Spearman’s rank correlation coefficient was used to assess correlations between the levels of anti-NC-Ab, anti-RBD-Ab, and NAbs. A receiver operating characteristic (ROC) curve was plotted to evaluate the sensitivity and specificity of anti-RBD-Abs to predict the NAb level. Simple linear regression analysis was conducted to test associations between the levels of antibodies at 2 M, 6 M, and 12 M, and relevant variables, including age, sex, comorbidity, and disease severity. The NAb decay rate was calculated with an exponential decay model [13]. P-values <0.05 were considered significant.

Ethical approval

This study was carried out according to the World Medical Association’s Declaration of Helsinki and the Japanese Ethics Guidelines for Human Genome/Gene Analysis Research. The study protocol was approved by the ethics committee of Kanazawa University (3388–1). All participants were appropriately informed about the study, and all provided written consent to participate in this study. When a participant under 18 years old agreed to participate, consent was obtained from the parents or guardians.

Results

Study participants

We recruited 135 company employees, including 27 index cases (21 males and 6 females; median age: 48.0 years, interquartile range [IQR]: 41.0‒54.0; Table 1) and 108 close contacts (86 males and 22 females; median age: 49.0 years, IQR: 42.3‒54.8). The sex and age distributions of participants did not significantly differ between the index cases and close contacts (P = 0.832 and P = 0.684, respectively). We also included 11 household members of the index cases (2 males and 9 females; median age: 46.0 years, IQR: 14.0‒67.0). None of the participants had received the COVID-19 vaccine or exhibited any clinical symptom suggestive of COVID-19 during the follow-up period.
Table 1

Gender and age distribution of the participants and their SARS-CoV-2 PCR and anti-NC-Ab results at 2M.

NSex Male (%)Age Median, IQR (years)Anti-NC-Ab positive at 2M, n (%)
Index cases (RT-PCR positive)2721 (77.8)48.0 (41.0‒54.0)27 (100%)
Closed contact colleagues (RT-PCR negative or not tested)10886 (79.6)149.0 (42.3‒54.8)25 (4.6%)
Close contact household members112 (18.2)46.0 (14.0‒67.0)3 (27.3%)
    RT-PCR positive31 (33.3)46.0 (11.0‒)3 (100%)
    RT-PCR negative81 (12.5)49.5 (16.0‒74.5)0 (0%)

RT-PCR: reverse transcription polymerase chain reaction for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); IQR: interquartile range; Anti-NC-Ab: antibody to the nucleocapsid of SARS-CoV-2; 2M: 2 to 3 months after the COVID-19 outbreak in the workplace; P-values between index cases versus close contacts are based on the Mann-Whitney U test or Fisher’s exact test; 1: P = 0.832; 2: P = 0.684.

RT-PCR: reverse transcription polymerase chain reaction for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); IQR: interquartile range; Anti-NC-Ab: antibody to the nucleocapsid of SARS-CoV-2; 2M: 2 to 3 months after the COVID-19 outbreak in the workplace; P-values between index cases versus close contacts are based on the Mann-Whitney U test or Fisher’s exact test; 1: P = 0.832; 2: P = 0.684.

Antibodies at 2‒3 months after the COVID-19 workplace outbreaks

All 27 index cases showed positive results for the anti-NC-Ab. Among the 108 close contacts, five (4.6%) showed positive results for the anti-NC-Ab (Table 1). These five close contacts had not undergone RT-PCR testing during the workplace outbreaks. Of the 11 household members, three (27.3%) had sustained SARS-CoV-2 infections, confirmed by RT-PCR, and all three showed positive anti-NC-Ab results. Thus, a total of 35 participants had been infected with SARS-CoV-2 during the outbreaks. Additionally, all of these 35 participants showed positive anti-RBD-Ab and NAb results.

Changes in anti-NC-Ab levels at 6 and 12 months after the outbreaks

Among the 35 individuals with positive anti-NC-Ab results, 33 agreed to additional follow-ups at 6 and 12 M. Of the 33, three were asymptomatic, 27 had mild symptoms, and the remaining three had moderate symptoms. Among these 33 individuals, 33 (100%) and 32 (97.0%) showed positive anti-NC-Ab results at 6 and 12 M, respectively (S1 Table). The anti-NC-Ab titers declined significantly from a median COI of 114.8 (IQR: 65.4–188.0) at 2 M, to a median COI of 69.4 (IQR: 35.0–115.8) at 6 M and a median COI of 29.5 (IQR: 12.9–49.8) at 12 M (2M vs. 6M, P<0.001; 2 M vs. 12 M, P<0.001; 6 M vs. 12 M, P = 0.001; Fig 1A).
Fig 1

The changes of antibody responses from 2M, 6M, to 12M after the outbreaks of COVID-19 at workplaces among 33 with asymptomatic, mild to moderate COVID-19.

(A) The changes of the anti-nucleocapsid antibody. Cutoff index (COI) ≧ 1.0 is positive. (B) The changes of the anti-receptor-binding domain antibody. The numeric value ≥ 0.8 U/mL [Log10(0.8) = ‒0.0969] is positive. (C) The changes of the inhibition rate of antibody specific to the receptor-binding domain that is equivalent to neutralizing antibody. The positive cutoff is ≧ 30%, indicated as the dotted line. Significance among three points was analyzed by the Friedman test and post hoc analysis with a Bonferroni correction. The dot and error bars correspond to the median for anti-nucleocapsid antibody and anti-receptor-binding domain and the median titer for inhibition rate of neutralizing antibody ± interquartile range.

The changes of antibody responses from 2M, 6M, to 12M after the outbreaks of COVID-19 at workplaces among 33 with asymptomatic, mild to moderate COVID-19.

(A) The changes of the anti-nucleocapsid antibody. Cutoff index (COI) ≧ 1.0 is positive. (B) The changes of the anti-receptor-binding domain antibody. The numeric value ≥ 0.8 U/mL [Log10(0.8) = ‒0.0969] is positive. (C) The changes of the inhibition rate of antibody specific to the receptor-binding domain that is equivalent to neutralizing antibody. The positive cutoff is ≧ 30%, indicated as the dotted line. Significance among three points was analyzed by the Friedman test and post hoc analysis with a Bonferroni correction. The dot and error bars correspond to the median for anti-nucleocapsid antibody and anti-receptor-binding domain and the median titer for inhibition rate of neutralizing antibody ± interquartile range.

Changes in anti-RBD-Ab levels at 6 and 12 months after the outbreaks

All 33 participants included in 12-M follow-ups showed positive anti-RBD-Ab results at both 6 and 12 M. The anti-RBD-Ab titers did not significantly change over time. The median anti-RBD-Ab titers were (log10 U/mL) 2.2 (IQR: 2.0–2.4) at 2 M, 2.2 (IQR: 2.0–2.6) at 6 M, and 2.2 (IQR: 2.0–2.5) at 12 M (P = 0.14 among the three groups; Fig 1B).

Changes in NAb levels at 6 and 12 months after the outbreaks

Of the 33 participants followed, 32 (97.0%) and 30 (90.9%) showed positive NAb results at 6 and 12 M, respectively. The median NAb titer significantly declined over time, with 78.7% inhibition (IQR: 73.0–85.0%) at 2 M, 59.8% (IQR: 51.2–77.9) at 6 M (P = 0.008), and 56.2% (IQR: 39.6–74.4) at 12 M (2 M vs. 12 M, P<0.001; 6 M vs. 12 M, P = 0.026; Fig 1C). In three individuals, NAb titer levels declined from 2 to 6 M, then rebounded at 12 M. In the other three individuals, NAb titer levels increased steadily, from 2 to 12 M. However, in these six participants, the anti-NC-Ab titer levels decreased constantly over the same observation periods (Fig 1B and Table 2). In one participant, the anti-NC-Ab result was negative at 12 M, but the anti-RBD-Ab and NAb results remained positive at 12 M (Table 2).
Table 2

The changes of the anti-NC-Ab, anti-RBD-Ab, and NAb among the individuals whose NAb titer increased from 6M to 12M and whose anti-NC-Ab turned to be negative.

IDSexAgeComorbiditySeverityAnti-NC-Ab (COI)Anti-RBD-Ab (Log10 U/mL)NAb (%)
2M6M12M2M6M12M2M6M12M
NAb re-increased at 12M than 6M
24M38NoMild267196.550.62.011.942.177446.451.1
25M49NoMild110.552.931.22.112.192.2867.154.657.5
26M11NoMild164.5101.539.62.692.702.7886.674.987.6
NAb increased in 6-12M than 2M
27M56YesMild91.135.717.22.342.893.0482.195.396.4
28F32NoMild61.534.717.72.472.923.0677.389.494.6
29M39NoMild240224.5149.53.013.133.249193.795.7
Anti-NC-Ab became negative
30M52NoMild3.71.50.61.911.991.9849.140.638.8

Anti-NC-Ab: anti-nucleocapsid antibody, ≥ 1.0 COI (cut-off index) is positive; Anti-RBD-Ab: anti-receptor binding domain antibody, ≥ ‒0.0969 Log10 U/mL (≥ 0.8 U/ml) is positive; NAb: neutralizing antibody, ≥ 30% (% of inhibition) is positive; 2M: 2 to 3 months after the COVID-19 outbreak in the workplace; 6M: 6 months after the outbreak; 12M: 12 months after the outbreak; Mild: no pneumonia; Moderate: pneumonia not requiring oxygen.

Anti-NC-Ab: anti-nucleocapsid antibody, ≥ 1.0 COI (cut-off index) is positive; Anti-RBD-Ab: anti-receptor binding domain antibody, ≥ ‒0.0969 Log10 U/mL (≥ 0.8 U/ml) is positive; NAb: neutralizing antibody, ≥ 30% (% of inhibition) is positive; 2M: 2 to 3 months after the COVID-19 outbreak in the workplace; 6M: 6 months after the outbreak; 12M: 12 months after the outbreak; Mild: no pneumonia; Moderate: pneumonia not requiring oxygen.

Correlation between the NAb and anti-RBD-Ab titers

NAb titers were strongly correlated with the anti-RBD-Ab titers at all time points (rho = 0.739 at 2 M; rho = 0.707 at 6 M; rho = 0.801 at 12 M; all P<0.001) and over the entire study period (rho = 0.736, P<0.001; Fig 2A). The ROC curve analysis indicated an anti-RBD-Ab cutoff threshold of 1.3 Log10 U/mL for the ability of anti-RBD-Ab to predict NAb positivity, with a sensitivity of 98.9% and a specificity of 75.0%.
Fig 2

Correlations of the neutralizing antibody (NAb) with anti-RBD-Ab and anti-NC-Ab.

(A) Correlation between the NAb and the anti-receptor-binding domain antibody (anti-RBD-Ab). The cutoff for anti-RBD-Ab, Log10 (0.8) = ‒0.0969, is not shown in the graph. Spearman’s rank correlation coefficient: 2M: rho = 0.739; 6M: rho = 0.707; 12M: rho = 0.801; in total: rho = 0.736; all P < 0.001. Blue dots: data at 2 months after the outbreaks of COVID-19 at workplaces (2M); red dots: data at 6 months (6M); and green dots: data at 12 months (12M). The solid line represents the linear regression. The red dotted line indicates the cutoff of NAb. The black dotted line indicates the suggested threshold of anti-RBD-Ab to determine the positivity of NAb. (B) Correlation between the NAb and the anti-nucleocapsid antibody (anti-NC-Ab). The cutoff for anti-NC-Ab is Cut off index (COI) ≧ 1.0. Spearman’s rank correlation coefficient: 2M: rho = 0.062, p = 0.73; 6M: rho = 0.129, p = 0.48; 12M: rho = 0.268, p = 0.13; in total: rho = 0.355, P < 0.001.

Correlations of the neutralizing antibody (NAb) with anti-RBD-Ab and anti-NC-Ab.

(A) Correlation between the NAb and the anti-receptor-binding domain antibody (anti-RBD-Ab). The cutoff for anti-RBD-Ab, Log10 (0.8) = ‒0.0969, is not shown in the graph. Spearman’s rank correlation coefficient: 2M: rho = 0.739; 6M: rho = 0.707; 12M: rho = 0.801; in total: rho = 0.736; all P < 0.001. Blue dots: data at 2 months after the outbreaks of COVID-19 at workplaces (2M); red dots: data at 6 months (6M); and green dots: data at 12 months (12M). The solid line represents the linear regression. The red dotted line indicates the cutoff of NAb. The black dotted line indicates the suggested threshold of anti-RBD-Ab to determine the positivity of NAb. (B) Correlation between the NAb and the anti-nucleocapsid antibody (anti-NC-Ab). The cutoff for anti-NC-Ab is Cut off index (COI) ≧ 1.0. Spearman’s rank correlation coefficient: 2M: rho = 0.062, p = 0.73; 6M: rho = 0.129, p = 0.48; 12M: rho = 0.268, p = 0.13; in total: rho = 0.355, P < 0.001. The NAb titers were not significantly correlated with anti-NC-Ab titers at any time point (rho = 0.062 at 2 M, P = 0.73; rho = 0.129 at 6 M, P = 0.48; and rho = 0.268 at 12 M, P = 0.13). However, over the entire study period, NAb titers were mildly correlated with anti-NC-Ab titers (rho = 0.355; P<0.001; Fig 2B). Other factors, including age, sex, disease severity, and comorbidity, were not significantly associated with the titers of anti-NC-Ab, anti-RBD-Ab, or NAb, at any time point (P>0.05 for all analyses, S2–S4 Tables).

Prediction of NAb durability

We estimated that the NAb level declined to undetectable values at about 35.5 months (95% confidence interval [CI]: 26.5–48.0 months) after the outbreak (Fig 3).
Fig 3

The estimated decay curve of best fit for neutralizing antibody (NAb).

The solid line indicates the estimated level of the NAb and dotted lines indicate the upper and the lower bounds of the 95% confidence intervals. The red dotted line indicates the cutoff line for 30% of NAb.

The estimated decay curve of best fit for neutralizing antibody (NAb).

The solid line indicates the estimated level of the NAb and dotted lines indicate the upper and the lower bounds of the 95% confidence intervals. The red dotted line indicates the cutoff line for 30% of NAb.

Discussion

In this study, we analyzed the 12-month durability of NAb titers in 33 individuals with first-time SARS-CoV-2 infections that displayed zero to moderate symptoms in Japan. We found that 90.9% (30/33) of these individuals maintained NAbs for 12 months, although NAb titers had declined significantly at 12 M, regardless of age, sex, comorbidity, and disease severity. Plasma NAb levels are known to be correlated with the prevention of SARS-CoV-2 infections and COVID-19 onset, and/or the reduction of disease severity. However, to date, no consensus has been established on the specific titer needed to prevent infection [14]. Townsend et al. estimated that, after a primary infection, the likely time interval for a SARS-CoV-2 re-infection was between 3 months and 5.1 years, with a median of 16 months [15]. Nguyen et al. reported that the SARS-CoV-2 delta variant was capable of breakthrough infections among fully vaccinated Vietnamese health care workers. In those workers, the median NAb titer determined with the sVNT was 59.4% (IQR: 32.5–73.1%) at diagnosis [16]. Our exponential decay model showed that the NAb level would decline to undetectable levels (30% inhibition) at 35.5 months (95% CI: 26.5–48) after a SARS-CoV-2 infection, and that NAb levels would fall to 59.4% inhibition at 10.3 months (95% CI: 6.6–15.5) after the primary infection. Because a decline in NAbs increases the susceptibility to a breakthrough infection [17], our findings suggested that individuals convalescing from COVID-19 should receive a booster vaccination within one year after the primary infection to prevent re-infections [5, 18–20]. Our results also showed that NAb titers at 2, 6, and 12 M did not correlate with disease severity. Several previous studies reported that the magnitude of the peak NAb titer depended on disease severity during early convalescence [6, 21–23]. However, studies on the differences between severity groups in NAb titers measured 3 to 12 M after symptom onset have produced discrepant results [4, 6, 22, 23]. These discrepancies could be due to differences in the target populations. For example, our study did not include severe cases, but other studies included severe and critical cases. Alternatively, the discrepancies could be due to differences in the methods for detecting NAbs. In the present study, we used the sVNT, but other studies used neutralizing assays with pseudotyped virus and/or authentic virus. Importantly, all four longitudinal cohort studies with observation periods of 12–13 M showed that NAb titers declined over time [3-6]. Thus, booster vaccinations should be recommended for all patients convalescing from COVID-19, regardless of disease severity. We found that NAb titers were strongly correlated with anti-RBD-Ab titers at each time point and over the entire study period (all rho>0.7; P<0.001). Our ROC curve analysis indicated that anti-RBD-Ab titers ≥1.3 Log10 U/mL (equivalent to ≥20 U/ml), could predict NAb positivity with a sensitivity of 98.9% and specificity of 75.0%. The anti-RBD-Ab assay utilized in the current study was fully automated, and the run-time was short, compared to the run-time for the manual sVNT assay. Considering these findings, the anti-RBD-Ab titer could be a useful alternative marker for predicting NAb positivity and for monitoring the level of herd immunity in a community. In six participants of our cohort, the anti-RBD-Ab and NAb levels increased from 2 M to 6 and 12 M. However, the anti-NC-Ab titers continued to decline over the same period. None of these participants reported clinical COVID-19 symptoms during the study period. Some previous longitudinal studies also reported an increase in NAb in patients convalescing from COVID-19 during 6 to 12 M after disease onset, but no mechanism has been proposed [4, 24]. We speculate that this continuous humoral response after the convalescent period could be induced by re-exposure to SARS-CoV-2, by the persistence of spike proteins, or by cross-reactivity to other human seasonal coronaviruses. In the current study, several SARS-CoV-2 endemics had occurred in the area during the study period. Thus, a re-exposure to SARS-CoV-2 without triggering an infection might have boosted the anti-RBD-Ab and NAb titers without increasing the anti-NC-Ab titer in six individuals in our study. Additionally, Gaebler et al. reported that persistent SARS-CoV-2 antigens were detected in individuals convalescing from COVID-19; viral antigen detection persisted for an average of 4 M after disease onset [25]. Additionally, antibodies against the S proteins of seasonal human coronavirus were shown to be boosted by a SARS-CoV-2 infection [26, 27]. Therefore, the anti-SARS-CoV-2 antibodies might have been induced by cross-reactivity to other seasonal human coronavirus infections [28]. In this study, we did not conduct RT-PCR tests to detect SARS-CoV-2 RNA during observation period, since none of the participants exhibited any clinical symptom suggestive of COVID-19 and testing capacity for COVD-19 RT-PCR in Japan was limited during the study period, nor did we investigate viral antigens or antibodies to other human coronaviruses in individuals convalescing from COVID-19. Further investigations are needed to understand the underlying mechanisms of prolonged humoral responses in patients convalescing from COVID-19. The present study showed that, during the COVID-19 outbreaks at workplaces, 4.6% of close contacts were missed in diagnosing COVID-19. To control the epidemic in Japan, more active surveillance is needed to identify all COVID-19 cases, including asymptomatic cases. Moreover, we observed secondary attacks in 27.3% of households; this rate was slightly higher than those reported previously (6 to 16.6%) in systematic reviews on household SARS-CoV-2 transmission [29, 30]. The Japanese national whole-genome epidemiologic surveillance project demonstrated that the SARS-CoV-2 strain B.1.1. variant caused the epidemic that occurred in late March through April 2020 in Japan, including the area sampled in the present study [31]. In contrast, the omicron variants were the predominant circulating strain in the latest epidemic in Japan. The omicron variant showed higher transmissibility within households than previously circulating variants [32]. Thus, more caution and stronger measures to prevent household transmission are needed in Japan. The current study has several limitations. First, the small number of COVID-19 cases included could have limited the significance of the findings. Second, none of the study participants had the opportunity to receive COVID-19 vaccination during the observation period, from June 2020 to April 2021, since the COVID-19 vaccination program for the general population in Japan began in June 2021. Recently, however, it was reported that 58 individuals with SARS-CoV-2 infection history in the same area of the current study, including 19 of the current study participants, had a median anti-RBD-Ab titer of 4.2 log10 U/mL [range 2.8 to 5.0] and NAbs titers of more than 95% after two doses of the vaccines [33]. This recent report would support our suggestion that a booster vaccination within one year after the primary infection will be beneficial, considering a median anti-RBD-Ab titer of 2.2 log10 U/mL (IQR: 2.0–2.5) and a median NAbs titer of 56.2% (IQR: 39.6–74.4) at 12M in the current study. Third, we utilized a surrogate virus neutralization test. This ELISA was based on antibody-mediated blockage of the interaction between the angiotensin-converting enzyme 2 receptor protein and the viral RBD [12]. However, a titration of the neutralizing antibody against an authentic virus requires biosafety level (BSL) 3 facilities. Alternatively, the sVNT assay was reported to be comparable with the virus neutralization test against an authentic virus and/or pseudo-type virus [12]. Thus, we adopted the sVNT, which is simple and can be performed in a BSL2 laboratory. Currently, infections by new variants in convalescing or vaccinated individuals is a growing concern for COVID-19 containment [34-36]. Therefore, in future, we must also evaluate the sera in participants that were infected with the B.1.1. variant to determine the neutralizing capacity against emerging variants. That evaluation will require an authentic or pseudo-type virus-based assay.

Conclusion

Our findings suggested that patients convalescing from a primary SARS-CoV-2 infection should receive a COVID-19 booster vaccination within one year after the infection. We also showed that the anti-RBD-Ab could be used as a surrogate marker to predict the residual level of NAbs. Our findings provided new insight into the durability of humoral immune responses to SARS-CoV-2 and suggested an appropriate timing for booster vaccinations in patients convalescing from COVID-19.

Details of the antibody titers.

(DOCX) Click here for additional data file.

Simple linear regression analysis of anti-NC-Ab with age, sex, comorbidity, and disease severity at 2M, 6M, and 12M.

(DOCX) Click here for additional data file.

Simple linear regression analysis of anti-RBD-Ab with age, sex, comorbidity, and disease severity at 2M, 6M, and 12M.

(DOCX) Click here for additional data file.

Simple linear regression analysis of NAb with age, sex, comorbidity, and disease severity at 2M, 6M, and 12M.

(DOCX) Click here for additional data file. 12 Jul 2022
PONE-D-21-40198
Neutralizing-antibody response to SARS-CoV-2 for 12 months after the COVID-19 workplace outbreaks in Japan
PLOS ONE Dear Dr. Ichimura, Thank you for submitting your manuscript to PLOS ONE. After careful consideration, we feel that it has merit but does not fully meet PLOS ONE’s publication criteria as it currently stands. Therefore, we invite you to submit a revised version of the manuscript that addresses the points raised below during the review process. This must include vaccination status of subjects and also comments on the limitations of this study. Please submit your revised manuscript by Aug 26 2022 11:59PM. If you will need more time than this to complete your revisions, please reply to this message or contact the journal office at plosone@plos.org. When you're ready to submit your revision, log on to https://www.editorialmanager.com/pone/ and select the 'Submissions Needing Revision' folder to locate your manuscript file. Please include the following items when submitting your revised manuscript:
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For instructions see: https://journals.plos.org/plosone/s/submission-guidelines#loc-laboratory-protocols. Additionally, PLOS ONE offers an option for publishing peer-reviewed Lab Protocol articles, which describe protocols hosted on protocols.io. Read more information on sharing protocols at https://plos.org/protocols?utm_medium=editorial-email&utm_source=authorletters&utm_campaign=protocols. We look forward to receiving your revised manuscript. Kind regards, Ray Borrow, Ph.D., FRCPath Academic Editor PLOS ONE Journal requirements: When submitting your revision, we need you to address these additional requirements. 1. Please ensure that your manuscript meets PLOS ONE's style requirements, including those for file naming. The PLOS ONE style templates can be found at https://journals.plos.org/plosone/s/file?id=wjVg/PLOSOne_formatting_sample_main_body.pdf and https://journals.plos.org/plosone/s/file?id=ba62/PLOSOne_formatting_sample_title_authors_affiliations.pdf. [Note: HTML markup is below. Please do not edit.] Reviewers' comments: Reviewer's Responses to Questions Comments to the Author 1. Is the manuscript technically sound, and do the data support the conclusions? The manuscript must describe a technically sound piece of scientific research with data that supports the conclusions. Experiments must have been conducted rigorously, with appropriate controls, replication, and sample sizes. The conclusions must be drawn appropriately based on the data presented. Reviewer #1: Yes ********** 2. Has the statistical analysis been performed appropriately and rigorously? Reviewer #1: Yes ********** 3. Have the authors made all data underlying the findings in their manuscript fully available? The PLOS Data policy requires authors to make all data underlying the findings described in their manuscript fully available without restriction, with rare exception (please refer to the Data Availability Statement in the manuscript PDF file). The data should be provided as part of the manuscript or its supporting information, or deposited to a public repository. For example, in addition to summary statistics, the data points behind means, medians and variance measures should be available. If there are restrictions on publicly sharing data—e.g. participant privacy or use of data from a third party—those must be specified. Reviewer #1: No ********** 4. Is the manuscript presented in an intelligible fashion and written in standard English? PLOS ONE does not copyedit accepted manuscripts, so the language in submitted articles must be clear, correct, and unambiguous. Any typographical or grammatical errors should be corrected at revision, so please note any specific errors here. Reviewer #1: Yes ********** 5. Review Comments to the Author Please use the space provided to explain your answers to the questions above. You may also include additional comments for the author, including concerns about dual publication, research ethics, or publication ethics. (Please upload your review as an attachment if it exceeds 20,000 characters) Reviewer #1: The authors examine a very interesting topic with the current study. The results can potentially be useful in the management of the pandemic and the vaccination program worldwide. The study has several limitation few of which are recognized by the authors: 1. Indeed the sample is rather small (33 subjects) and no definite conclusion can be drawn from these results. 2. No information is given about the vaccination status of these individual. It is very important that the authors include this data in their analysis. Vaccination status, duration until analysis as well as vaccine type are very important information that need to be considered. 3. The authors suggest based on their results that a booster shoot within 1 year will be beneficial given the decline of the Nabs. It will be good if the study included at least few subjects that received a booster shoot in order to validate this point. 4. Absence of re-infection by PCR should have been determined at every stage of the analysis. ********** 6. PLOS authors have the option to publish the peer review history of their article (what does this mean?). If published, this will include your full peer review and any attached files. If you choose “no”, your identity will remain anonymous but your review may still be made public. Do you want your identity to be public for this peer review? For information about this choice, including consent withdrawal, please see our Privacy Policy. Reviewer #1: Yes: Kyriacos Felekkis ********** [NOTE: If reviewer comments were submitted as an attachment file, they will be attached to this email and accessible via the submission site. Please log into your account, locate the manuscript record, and check for the action link "View Attachments". If this link does not appear, there are no attachment files.] While revising your submission, please upload your figure files to the Preflight Analysis and Conversion Engine (PACE) digital diagnostic tool, https://pacev2.apexcovantage.com/. PACE helps ensure that figures meet PLOS requirements. To use PACE, you must first register as a user. Registration is free. Then, login and navigate to the UPLOAD tab, where you will find detailed instructions on how to use the tool. If you encounter any issues or have any questions when using PACE, please email PLOS at figures@plos.org. Please note that Supporting Information files do not need this step. 5 Aug 2022 PONE-D-21-40198 Neutralizing-antibody response to SARS-CoV-2 for 12 months after the COVID-19 workplace outbreaks in Japan Responses to the Editor and Reviewers' comments: The authors would like to thank the editor and the reviewer for the valuable suggestions and precise comments to clarify the major contribution of the work. Moreover, we sincerely appreciate their great efforts to point out the existing inconsistencies and errors for the improvement. To our best, the manuscript has been carefully revised and clarified according to the editor and reviewer’s comments. Editor’s comment: This must include vaccination status of subjects and also comments on the limitations of this study. Response: Thank you very much for your comment. Since the COVID-19 vaccination program for general population in Japan began in June 2021, none of the participants had the opportunity to receive COVID-19 vaccination during the study period, from June 2020 to April 2021. This information has been added in the results section (1) and in the discussion section (2) in the revised manuscript as follows: (1) None of the participants had the opportunity to receive COVID-19 vaccination and exhibited any clinical symptom suggestive of COVID-19 during the study period. (lines 143–144). (2) Second, none of the study participants had the opportunity to receive COVID-19 vaccination during the study period, from June 2020 to April 2021, since the COVID-19 vaccination program for the general population in Japan began in June 2021. Recently, however, it was reported that 58 individuals with SARS-CoV-2 infection history in the same area as the present study, including 19 present study participants, had a median anti-RBD-Ab titer of 4.2 log10 U/mL [range 2.8 to 5.0] and Nabs titers of more than 95% after two doses of the vaccines [33]. This recent report would support our suggestion that a booster vaccination within one year after the primary infection will be beneficial, considering that a median anti-RBD-Ab titer of 2.2 log10 U/mL (IQR: 2.0–2.5) and a median Nabs titer of 56.2% (IQR: 39.6–74.4) at 12M in the present study. (lines 334–344) Reviewer #1: The authors examine a very interesting topic with the current study. The results can potentially be useful in the management of the pandemic and the vaccination program worldwide. The study has several limitation few of which are recognized by the authors: Comment 1: Indeed the sample is rather small (33 subjects) and no definite conclusion can be drawn from these results. Response: As reviewer pointed out, the sample number in this study is relatively small to draw any concreate conclusion, and we have already mentioned this issue in the discussion section (lines 334–335). In April and May 2020, during the first epidemic of COVID-19 in the study area, we had only six outbreaks with 117 reportedly infected individuals in the study area. We could recruit 33 of them from the two workplace outbreaks in this study, and have successfully followed 26 of the 33 study participants for two years after infection with SARS-CoV-2. We are planning to report the changes of their anti-SARS-CoV-2 antibodies more precisely in relation to COVID-19 vaccination status in another paper. Comment 2: No information is given about the vaccination status of these individual. It is very important that the authors include this data in their analysis. Vaccination status, duration until analysis as well as vaccine type are very important information that need to be considered. Response: Thank you for your comment. As mentioned in the response to the editor’s comment, none of the study participants had the opportunity to receive COVID-19 vaccination during the study period. This information has been added in the results section (lines 143–144) and in the discussion section (lines 334 –344) in the revised manuscript. Comment 3: The authors suggest based on their results that a booster shoot within 1 year will be beneficial given the decline of the Nabs. It will be good if the study included at least few subjects that received a booster shoot in order to validate this point. Response: Following the reviewer’s comment, we have added the following sentences in the discussion section (lines 337–344): “Recently, however, it was reported that 58 individuals with SARS-CoV-2 infection history in the same area of the current study, including 19 of the current study participants, had a median anti-RBD-Ab titer of 4.2 log10 U/mL [range 2.8 to 5.0] and Nabs titers of more than 95% after two doses of the vaccines [33]. This recent report would support our suggestion that a booster vaccination within one year after the primary infection will be beneficial, considering a median anti-RBD-Ab titer of 2.2 log10 U/mL (IQR: 2.0–2.5) and a median Nabs titer of 56.2% (IQR: 39.6–74.4) at 12M in the current study.” Comment 4: Absence of re-infection by PCR should have been determined at every stage of the analysis. Response: We would agree that the absence of re-infection by PCR should have been determined at every stage of the analysis. So, we have added the following sentence in the discussion section (lines 312–314): In this study, we did not conduct RT-PCR tests to detect SARS-CoV-2 RNA during observation period, “since none of the participants exhibited any clinical symptom suggestive of COVID-19 and testing capacity for COVD-19 RT-PCR in Japan was limited during the study period,” Further comment from the Reviewer regarding the PLOS Data policy. 3. Have the authors made all data underlying the findings in their manuscript fully available? Response: All data, the results of antibodies titers, are fully available as a supporting information in the S1 Table Details of the antibody titers. Submitted filename: Response to Reviewers.docx Click here for additional data file. 12 Aug 2022 Neutralizing-antibody response to SARS-CoV-2 for 12 months after the COVID-19 workplace outbreaks in Japan PONE-D-21-40198R1 Dear Dr. Ichimura, We’re pleased to inform you that your manuscript has been judged scientifically suitable for publication and will be formally accepted for publication once it meets all outstanding technical requirements. Within one week, you’ll receive an e-mail detailing the required amendments. When these have been addressed, you’ll receive a formal acceptance letter and your manuscript will be scheduled for publication. An invoice for payment will follow shortly after the formal acceptance. To ensure an efficient process, please log into Editorial Manager at http://www.editorialmanager.com/pone/, click the 'Update My Information' link at the top of the page, and double check that your user information is up-to-date. If you have any billing related questions, please contact our Author Billing department directly at authorbilling@plos.org. If your institution or institutions have a press office, please notify them about your upcoming paper to help maximize its impact. If they’ll be preparing press materials, please inform our press team as soon as possible -- no later than 48 hours after receiving the formal acceptance. Your manuscript will remain under strict press embargo until 2 pm Eastern Time on the date of publication. For more information, please contact onepress@plos.org. Kind regards, Ray Borrow, Ph.D., FRCPath Academic Editor PLOS ONE Additional Editor Comments (optional): Reviewers' comments: Reviewer's Responses to Questions Comments to the Author 1. If the authors have adequately addressed your comments raised in a previous round of review and you feel that this manuscript is now acceptable for publication, you may indicate that here to bypass the “Comments to the Author” section, enter your conflict of interest statement in the “Confidential to Editor” section, and submit your "Accept" recommendation. Reviewer #1: All comments have been addressed ********** 2. Is the manuscript technically sound, and do the data support the conclusions? The manuscript must describe a technically sound piece of scientific research with data that supports the conclusions. Experiments must have been conducted rigorously, with appropriate controls, replication, and sample sizes. The conclusions must be drawn appropriately based on the data presented. Reviewer #1: Yes ********** 3. Has the statistical analysis been performed appropriately and rigorously? Reviewer #1: Yes ********** 4. Have the authors made all data underlying the findings in their manuscript fully available? The PLOS Data policy requires authors to make all data underlying the findings described in their manuscript fully available without restriction, with rare exception (please refer to the Data Availability Statement in the manuscript PDF file). The data should be provided as part of the manuscript or its supporting information, or deposited to a public repository. For example, in addition to summary statistics, the data points behind means, medians and variance measures should be available. If there are restrictions on publicly sharing data—e.g. participant privacy or use of data from a third party—those must be specified. Reviewer #1: Yes ********** 5. Is the manuscript presented in an intelligible fashion and written in standard English? PLOS ONE does not copyedit accepted manuscripts, so the language in submitted articles must be clear, correct, and unambiguous. Any typographical or grammatical errors should be corrected at revision, so please note any specific errors here. Reviewer #1: Yes ********** 6. Review Comments to the Author Please use the space provided to explain your answers to the questions above. You may also include additional comments for the author, including concerns about dual publication, research ethics, or publication ethics. (Please upload your review as an attachment if it exceeds 20,000 characters) Reviewer #1: The authors have addressed all of my concerns by including additional data or additions to the text. ********** 7. PLOS authors have the option to publish the peer review history of their article (what does this mean?). If published, this will include your full peer review and any attached files. If you choose “no”, your identity will remain anonymous but your review may still be made public. Do you want your identity to be public for this peer review? For information about this choice, including consent withdrawal, please see our Privacy Policy. Reviewer #1: Yes: Kyriacos Felekkis **********
  36 in total

1.  Epidemiology of COVID-19 Outbreak in Japan, from January-March 2020.

Authors:  Yuki Furuse; Yura K Ko; Mayuko Saito; Yugo Shobugawa; Kazuaki Jindai; Tomoya Saito; Hiroshi Nishiura; Tomimasa Sunagawa; Motoi Suzuki; Hitoshi Oshitani
Journal:  Jpn J Infect Dis       Date:  2020-04-30       Impact factor: 1.362

2.  A SARS-CoV-2 surrogate virus neutralization test based on antibody-mediated blockage of ACE2-spike protein-protein interaction.

Authors:  Chee Wah Tan; Wan Ni Chia; Xijian Qin; Pei Liu; Mark I-C Chen; Charles Tiu; Zhiliang Hu; Vivian Chih-Wei Chen; Barnaby E Young; Wan Rong Sia; Yee-Joo Tan; Randy Foo; Yongxiang Yi; David C Lye; Danielle E Anderson; Lin-Fa Wang
Journal:  Nat Biotechnol       Date:  2020-07-23       Impact factor: 54.908

3.  Neutralizing antibody levels are highly predictive of immune protection from symptomatic SARS-CoV-2 infection.

Authors:  David S Khoury; Deborah Cromer; Arnold Reynaldi; Timothy E Schlub; Adam K Wheatley; Jennifer A Juno; Kanta Subbarao; Stephen J Kent; James A Triccas; Miles P Davenport
Journal:  Nat Med       Date:  2021-05-17       Impact factor: 87.241

4.  Evolution of antibody immunity to SARS-CoV-2.

Authors:  Christian Gaebler; Zijun Wang; Julio C C Lorenzi; Frauke Muecksch; Shlomo Finkin; Minami Tokuyama; Alice Cho; Mila Jankovic; Dennis Schaefer-Babajew; Thiago Y Oliveira; Melissa Cipolla; Charlotte Viant; Christopher O Barnes; Yaron Bram; Gaëlle Breton; Thomas Hägglöf; Pilar Mendoza; Arlene Hurley; Martina Turroja; Kristie Gordon; Katrina G Millard; Victor Ramos; Fabian Schmidt; Yiska Weisblum; Divya Jha; Michael Tankelevich; Gustavo Martinez-Delgado; Jim Yee; Roshni Patel; Juan Dizon; Cecille Unson-O'Brien; Irina Shimeliovich; Davide F Robbiani; Zhen Zhao; Anna Gazumyan; Robert E Schwartz; Theodora Hatziioannou; Pamela J Bjorkman; Saurabh Mehandru; Paul D Bieniasz; Marina Caskey; Michel C Nussenzweig
Journal:  Nature       Date:  2021-01-18       Impact factor: 69.504

5.  Genomic characterisation and epidemiology of 2019 novel coronavirus: implications for virus origins and receptor binding.

Authors:  Roujian Lu; Xiang Zhao; Juan Li; Peihua Niu; Bo Yang; Honglong Wu; Wenling Wang; Hao Song; Baoying Huang; Na Zhu; Yuhai Bi; Xuejun Ma; Faxian Zhan; Liang Wang; Tao Hu; Hong Zhou; Zhenhong Hu; Weimin Zhou; Li Zhao; Jing Chen; Yao Meng; Ji Wang; Yang Lin; Jianying Yuan; Zhihao Xie; Jinmin Ma; William J Liu; Dayan Wang; Wenbo Xu; Edward C Holmes; George F Gao; Guizhen Wu; Weijun Chen; Weifeng Shi; Wenjie Tan
Journal:  Lancet       Date:  2020-01-30       Impact factor: 79.321

6.  A Genome Epidemiological Study of SARS-CoV-2 Introduction into Japan.

Authors:  Tsuyoshi Sekizuka; Kentaro Itokawa; Masanori Hashino; Tetsuro Kawano-Sugaya; Rina Tanaka; Koji Yatsu; Asami Ohnishi; Keiko Goto; Hiroyuki Tsukagoshi; Hayato Ehara; Kenji Sadamasu; Masakatsu Taira; Shinichiro Shibata; Ryohei Nomoto; Satoshi Hiroi; Miho Toho; Tomoe Shimada; Tamano Matsui; Tomimasa Sunagawa; Hajime Kamiya; Yuichiro Yahata; Takuya Yamagishi; Motoi Suzuki; Takaji Wakita; Makoto Kuroda
Journal:  mSphere       Date:  2020-11-11       Impact factor: 4.389

7.  Dynamics of SARS-CoV-2 neutralising antibody responses and duration of immunity: a longitudinal study.

Authors:  Wan Ni Chia; Feng Zhu; Sean Wei Xiang Ong; Barnaby Edward Young; Siew-Wai Fong; Nina Le Bert; Chee Wah Tan; Charles Tiu; Jinyan Zhang; Seow Yen Tan; Surinder Pada; Yi-Hao Chan; Christine Y L Tham; Kamini Kunasegaran; Mark I-C Chen; Jenny G H Low; Yee-Sin Leo; Laurent Renia; Antonio Bertoletti; Lisa F P Ng; David Chien Lye; Lin-Fa Wang
Journal:  Lancet Microbe       Date:  2021-03-23

8.  SARS-CoV-2 infection rates of antibody-positive compared with antibody-negative health-care workers in England: a large, multicentre, prospective cohort study (SIREN).

Authors:  Victoria Jane Hall; Sarah Foulkes; Andre Charlett; Ana Atti; Edward J M Monk; Ruth Simmons; Edgar Wellington; Michelle J Cole; Ayoub Saei; Blanche Oguti; Katie Munro; Sarah Wallace; Peter D Kirwan; Madhumita Shrotri; Amoolya Vusirikala; Sakib Rokadiya; Meaghan Kall; Maria Zambon; Mary Ramsay; Tim Brooks; Colin S Brown; Meera A Chand; Susan Hopkins
Journal:  Lancet       Date:  2021-04-09       Impact factor: 79.321

9.  SARS-CoV-2 neutralizing antibodies decline over one year and patients with severe COVID-19 pneumonia display a unique cytokine profile.

Authors:  Vimvara Vacharathit; Sirawat Srichatrapimuk; Suwimon Manopwisedjaroen; Suppachok Kirdlarp; Chanya Srisaowakarn; Chavachol Setthaudom; Nanthicha Inrueangsri; Prapaporn Pisitkun; Mongkol Kunakorn; Suradej Hongeng; Somnuek Sungkanuparph; Arunee Thitithanyanont
Journal:  Int J Infect Dis       Date:  2021-09-15       Impact factor: 3.623

10.  SARS-CoV-2 seroprevalence and transmission risk factors among high-risk close contacts: a retrospective cohort study.

Authors:  Oon Tek Ng; Kalisvar Marimuthu; Vanessa Koh; Junxiong Pang; Kyaw Zaw Linn; Jie Sun; Liang De Wang; Wan Ni Chia; Charles Tiu; Monica Chan; Li Min Ling; Shawn Vasoo; Mohammad Yazid Abdad; Po Ying Chia; Tau Hong Lee; Ray Junhao Lin; Sapna P Sadarangani; Mark I-Cheng Chen; Zubaidah Said; Lalitha Kurupatham; Rachael Pung; Lin-Fa Wang; Alex R Cook; Yee-Sin Leo; Vernon Jm Lee
Journal:  Lancet Infect Dis       Date:  2020-11-02       Impact factor: 25.071

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