- 1Division of Clinical Virology, Center for Infectious Diseases, Kobe University Graduate School of Medicine, Kobe, Japan
- 2Division of Cardiovascular Medicine, Hyogo Prefectural Kakogawa Medical Center, Kakogawa, Japan
- 3Acute Care Medical Center, Hyogo Prefectural Kakogawa Medical Center, Kakogawa, Japan
- 4Division of General Internal Medicine, Hyogo Prefectural Kakogawa Medical Center, Kakogawa, Japan
- 5Division of Respiratory Medicine, Hyogo Prefectural Awaji Medical Center, Sumoto, Japan
- 6Division of Respiratory Medicine, Department of Internal Medicine, Kobe University Graduate School of Medicine, Kobe, Japan
Background: Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) is the virus responsible for the Coronavirus Disease 2019 (COVID-19) pandemic. The emergence of variants of concern (VOCs) has become one of the most pressing issues in public health. To control VOCs, it is important to know which COVID-19 convalescent sera have cross-neutralizing activity against VOCs and how long the sera maintain this protective activity.
Methods: Sera of patients infected with SARS-CoV-2 from March 2020 to January 2021 and admitted to Hyogo Prefectural Kakogawa Medical Center were selected. Blood was drawn from patients at 1-3, 3-6, and 6-8 months post onset. Then, a virus neutralization assay against SARS-CoV-2 variants (D614G mutation as conventional strain; B.1.1.7, P.1, and B.1.351 as VOCs) was performed using authentic viruses.
Results: We assessed 97 sera from 42 patients. Sera from 28 patients showed neutralizing activity that was sustained for 3-8 months post onset. The neutralizing antibody titer against D614G significantly decreased in sera of 6-8 months post onset compared to those of 1-3 months post onset. However, the neutralizing antibody titers against the three VOCs were not significantly different among 1-3, 3-6, and 6-8 months post onset.
Discussion: Our results indicate that neutralizing antibodies that recognize the common epitope for several variants may be maintained for a long time, while neutralizing antibodies having specific epitopes for a variant, produced in large quantities immediately after infection, may decrease quite rapidly.
Introduction
Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) is the virus responsible for the Coronavirus Disease 2019 (COVID-19) pandemic, which began in November, 2019. Most COVID-19 cases are asymptomatic to mild, but some cases lead to life-threatening pneumonia. As of mid-December, 2021, more than 5.4 million patients worldwide have died from the effects of COVID-19 (1).
To control this pandemic, various prophylactic and therapeutic approaches are being tried clinically, including vaccines, convalescent plasma therapy (CPT) and therapeutic monoclonal antibodies (Mabs) (2). Among these immunotherapies, the neutralizing antibodies (Nabs) that interrupt viral infection are essential components and are induced by natural infection or vaccination. Some SARS-CoV-2 vaccines, including messenger RNA-based vaccines and adenovirus-vectored vaccines, have a high efficacy at preventing symptomatic disease (3). Numerous different vaccines have been manufactured and distributed all over the world, but the production has not been sufficient to vaccinate populations. The rapid increase of vaccine supply remains the best hope for overcoming this pandemic.
On the other hand, passive immunization using CPT remains a therapeutic option and has been used for infectious diseases caused by severe acute respiratory syndrome coronavirus (4), Middle East Respiratory Syndrome Coronavirus (4), and Ebola virus (5). The efficacy of CPT for COVID-19 patients is controversial (6), although some studies provided good evidence that CPT was safe and reduced mortality when COVID-19 patients were treated in combination with antiviral drugs, steroids, and other supportive care (7). Treatment with therapeutic Mabs is another option as a passive immunotherapy with no risk of post-transfusion infection and no need to collect convalescent sera from many recovered patients. Mabs are important for immunocompromised people and unvaccinated people to be protected from infection. Currently, Mabs for five diseases (respiratory syncytial virus, anthrax, Clostridium difficile, human immunodeficiency virus 1, and Ebola virus) are approved by the US Food and Drug Administration (FDA) (8, 9). As for SARS-CoV-2, three anti-SARS-CoV-2 Mabs products (sotrovimab, combination of bamlanivimab plus etesevimab, and combination of casirivimab plus imdevimab) have Emergency Use Authorizations (EUAs) from the FDA (10). These Mabs products are used for treatment of mild to moderate COVID-19 nonhospitalized patients to prevent hospitalization and death. Combination of casirivimab plus imdevimab has obtained fast-track approval of Japan’s Ministry of Health, Labour, and Welfare on 19 July 2021 (11).
In the face of these new therapies, SARS-CoV-2 has evolved from its original strain. The D614G mutation of spike protein (S protein) was found worldwide by the end of June, 2020 (12). Recently, the emergence of SARS-CoV-2 variants with mutations that can enhance transmissibility and reduce neutralization activity has brought new challenges to the management of COVID-19. The World Health Organization (WHO) classified five variants (B.1.1.7, P.1, B.1.351, B.1.617.2, and B.1.1.529) as variants of concern (VOC) (13). B.1.1.7, which was firstly detected in the United Kingdom, has an N501Y mutation in the receptor binding domain (RBD) of S protein. P.1, which was identified in Brazil, has three mutations (K417T, E484K, and N501Y) in the RBD. B.1.351, which was found in South Africa, has three mutations (K417N, E484K, and N501Y) in the RBD (14). B.1.617.2, which was confirmed in India, has mutations (L452R and T478K) in the RBD (15), leading to higher viral load in infected individuals, in addition to the P681R mutation which increases the virus transmissibility (16). Finally, B.1.1.529, which was detected in Botswana on November 11, 2021 and South Africa on November 14, 2021, has 15 mutations (G339D, S371L, S373P, S375F, K417N, N440K, G446S, S477N, T478K, E484A, Q493R, G496S, Q498R, N501Y, and Y505H) in the RBD (17). The N501Y mutation shared among B.1.1.7, B.1.351, P1 and B.1.1.529 have influence on the affinity between the angiotensin-converting enzyme 2 (ACE2) receptor and the RBD of the S protein, which causes high transmissibility of the virus. The variant B.1.1.7 has proven to be more transmissible than original strains (18). The E484K mutation in the RBD of B.1.351 and P1 is involved in immune escape (19, 20). The K417N mutation of B.1.351 and B.1.1.529 and K417T mutation of P.1 are suggested to change the conformation of S protein, allowing escape from Nabs (19, 20). Nabs have reduced activity on the variants B.1.351 and P.1 (14). Especially, the variant B.1.351 is much more resistant to neutralization by Nabs, possibly because of differences in the mutations of the N terminal domain (NTD), which are associated with escape from immunity (21). Nabs against B.1.1.529 from sera of convalescent patients infected with the ancestral SARS-CoV-2 and sera of vaccinated people with two dose of ChAdOx1 nCoV-19 or BNT162b2 is also lower than that against the other variants (22, 23).
As elsewhere in the world, Japan is facing COVID-19 pandemic. As of mid-December 2021, nearly 1,730,000 Japanese people had been infected with COVID-19 and about 18,000 people had died (1). So far, the country has been affected by five waves of exponential increase in new cases. D614G_KR, which had D614G mutation of S protein and 203_204delinsKR mutation of nucleocapsid protein, and its lineage were predominant during the first to third waves, from March 2020 to February 2021 (24). VOCs have also spread to Japan. B.1.1.7 was first detected on 25 December 2020 and rapid community spread occurred from March 2021. As of June 2021, B.1.1.7 became the predominant variant in Japan. In contrast, B.1.351 and P.1 were not spread widely in Japan, although they were found at the end of December 2020 and the beginning of January 2021. B.1.617.2 was detected on 20 April 2021 and has rapidly replaced B.1.1.7. Then, B.1.617.2 has become the predominant variant at the fifth wave from July 2021 in Japan (25, 26). Recently, B.1.1.529 was detected in Japan as in other countries. Then, the Japanese government is on the alert for the sixth wave (27).
Hence, it is important to know about the longevity of the neutralizing activity of convalescent sera against SARS-CoV-2 to estimate the possibility of reinfection, to select good donors for CPT, and to make therapeutic Mabs products. Previous studies have shown that neutralizing activity of convalescent sera is maintained up to six to twelve months post onset, although follow-up studies for longer duration are still needed (28–30). Furthermore, the breadth and longevity of cross-neutralizing activities against VOCs have been minimally tested (28, 31). In this study, we analyzed the longevity and breadth of neutralizing activity of COVID-19 convalescent sera across the VOCs (B1.1.7, P.1, and B.1.351) and the D614G.
Methods
Diagnosis of COVID-19 and Definition of Severities
Polymerase chain reaction (PCR) detection of the SARS-CoV-2 genome in nasopharyngeal swab samples was used to confirm the diagnosis of COVD-19. We used the same definitions of severities as in our previous report (32).
Asymptomatic patients had neither clinical symptoms nor hypoxia. Patients with mild illness had symptoms without evidence of pneumonia or hypoxia. Those with moderate illness had clinical symptoms of pneumonia with oxygen saturation levels over 90% on room air. Those with severe illness suffered from pneumonia with an oxygen saturation level under 90% on room air. Patients who needed mechanical ventilation were classified as critical.
Study Site and Patient Recruitment
From March 2020, blood samples of COVID-19 patients have been collected by Hyogo Prefectural Kakogawa Medical Center, located at Kakogawa, Hyogo, Japan. In this study, samples of patients infected from March 2020 to January 2021 were selected. Serial blood samples were collected from individuals who had different severities at various time points post onset: 1-3 months post onset, 3-6 months post onset, and 6-8 months post onset.
Virus Strains
The SARS-CoV-2 Biken-2 (B2) strain including the D614G mutation was used as the conventional virus (accession number: LC644163), and was received from BIKEN Innovative Vaccine Research Alliance Laboratories. The three SARS-CoV-2 variants: B.1.1.7 (GISAID ID: EPI_ISL_804007), P.1 (GISAID ID: EPI_ISL_833366), and B.1.351 (GISAID ID: EPI_ISL_1123289) were received from National Institute of Infectious Diseases (NIID), Tokyo, Japan. Mutations of genes encoding spike protein were confirmed by cDNA sequencing.
Neutralization Assay
The live virus neutralization assay against SARS-CoV-2 variants (D614G, B.1.1.7, P.1, and B.1.351) was done as previously reported according to Biosafety Level 3 regulations (32, 33). At 24 hours before the assay, 4 × 104 Vero E6 (TMPRSS2) cells per well were seeded in 96-well tissue culture microplates. Serum samples were heat-inactivated at 56°C for 30 minutes, and two-fold serially diluted using Dulbecco’s Modified Eagle’s Medium as the diluent. Diluted serum samples were mixed with 100 tissue culture infectious dose (TCID)50 of SARS-CoV-2 variants and incubated at 37°C for one hour. The mixture of sera and virus was added to confluent Vero E6 (TMPRSS2) cells in a 96-well plate. Cells were incubated at 37°C with 5% CO2 supplementation for six days. Then, the neutralizing titer was determined as the dilution factor in which cells showed no cytopathic effect. The titer was shown on a log2 scale. The cutoff titer was set at one; titer under one was defined as ND (not detected).
Statistical Analysis
Continuous variables are described using medians and interquartile ranges (IQRs), defined by the 25th and 75th percentiles. Categorical factors were reported as counts and percentages. Cochran’s Q test and Benjamini–Hochberg correction were performed to compare the proportion of patients whose Nab titer was ND among four variants. Friedman’s test and the Benjamini–Hochberg correction was performed to compare the Nab titers among variants or sampling times. The level of statistical significance was set at p < 0.05. Statistical analyses were performed using STATA (version 14.2). Sample size calculation was not performed.
Ethics
Our study was approved by the ethics committee of Kobe University Graduate School of Medicine (ID: B200200) and Hyogo Prefectural Kakogawa Medical Center. Written consent or the opt-out consent for our observational study was obtained.
Results
Characteristics of Patients
We assessed 97 sera from 42 individuals in total, and the data are shown in Table 1 and Supplementary Table 1. The median age with IQR was 56 (49–62) years. Fifty percent of patients were female. Patients’ blood was taken two or three times serially. In terms of disease severity, four patients were asymptomatic (P1 to P4), fifteen had mild disease (P5 to P19), five had moderate disease (P20 to P24), fifteen had severe disease (P25 to P39) and three were critical (P40 to P42). We divided the post-onset data according to the three time periods (1-3 months, 3-6 months, and 6-8 months). The median days with IQR for these assessments were 47 (43–54), 117 (110–132), and 209 (199–219). Common chronic conditions were hypertension (28.6%), diabetes (26.2%), and pulmonary diseases (19.0%) including asthma and chronic obstructive pulmonary disease (COPD).
Longevity of Neutralizing Activity Against D614G and VOCs
All data of neutralization assays are shown in Figure 1. Among 42 patients, sera from 28 patients showed long-lasting neutralizing activities on the three VOCs (five out of fifteen mild: P6, P7, P9, P10, and P13, and all moderate to critical), in addition to D614G. On the other hand, sera from two patients (P8 and P18) showed no cross-neutralizing activity for any VOCs, and sera from six patients (P2, P4, P5, P11, P14, and P17) did not neutralize B.1.351 at all. Sera from the other six patients (P1, P3, P12, P15, P16, and P19) neutralized B.1.351 at first, but later could not. Totally, all four asymptomatic and 10 out of 15 mild patients could not obtain or maintain cross-Nabs for the three variants.
Figure 1 All data of neutralization assay. P1 to P4 were asymptomatic, P5 to P19 had mild disease, P20 to P24 had moderate disease, numbers P25 to P39 had severe disease and P40 to P42 were critical. Hash marks (#) on the graphs means no sera at the points. Vertical bars show the neutralizing antibody titer (log2). Horizontal bars show the trend among patients at 1-3 months post onset, 3-6 months post onset, and 6-8 months post onset according to the four variants (D614G mutation, B.1.1.7, P.1, and B.1.351).
Next, we analyzed the Nab titers among D614G and three VOCs by two severity groups. One group was named ‘patients without pneumonia’. This group included the patients who did not present with pneumonia (asymptomatic and mild patients). The other was named ‘patients with pneumonia’, including the patients who presented with pneumonia (moderate, severe and critical patients). The Nab titers against B.1.351 in both groups were significantly lower than those against the other variants at 1-3 months post onset and 3-6 months post onset. The Nab titers against all four variants in ‘patients with pneumonia’ were higher than those in ‘patients without pneumonia’ (Figure 2A).
Figure 2 Comparisons of neutralizing antibody titers among D614G and three VOCs by the timing of sampling in ‘patients without pneumonia’ [1-3 months post onset (n=17), 3-6 months post onset (n=19), and 6-8 months post onset (n=10)] and those in ‘patients with pneumonia’ [1-3 months post onset (n=21), 3-6 months post onset (n=23), and 6-8 months post onset (n=7)] are shown in (A). Vertical bars show the neutralizing antibody titer (log2). Horizontal bars show the four variants (D614G mutation, B.1.1.7, P.1, and B.1.351) by the three groups of months post-onset (1-3m, 3-6m, and 6-8m). Friedman’s test and Benjamini–Hochberg correction were performed to analyze both data. The dash line shows that neutralizing antibody titers (log2) is one, which is the cut-off point. Comparison of neutralizing titer under one (ND) among four variants are shown in (B). Vertical bars show the percentages of patients. Black shows the percentage of neutralizing antibody titers (log2) under one and grey shows that of more than one. Horizontal bars show the four variants (D614G mutation, B.1.1.7, P.1, and B.1.351) by the three sampling times. Cochran’s Q test and Benjamini–Hochberg correction were performed. The level of statistical significance was set at p < 0.05 (*p < 0.05; **p < 0.01; ***p < 0.001; and ns, not significant)).
Then, we analyzed the trend of ND (not detected, that is, Nab titer under one) among D614G and three VOCs by two severity groups in Figure 2B. All in ‘patients with pneumonia’ acquired and maintained cross-Nabs for three VOCs. However, many patients in ‘patients without pneumonia’ could not acquire or maintain the Nab titers for D614G and three VOCs. The proportions of patients with ND for D614G, B.1.1.7, and P.1 at 1-3 months post onset were 0%, 11.8%, and 17.6%, respectively. The proportion of patients with ND for B.1.351 was 47.1% and significantly higher than the other variants. The proportion of patients with ND for P.1 was the second-highest but without significant difference from D614G and B.1.1.7. The proportions of patients with ND for D614G, B.1.1.7, P.1 and B.1.351 at 3-6 months post onset were 5.3%, 15.8%, 26.3%, and 68.4%, respectively. The difference among four variants at 3-6 months post onset was similar to that at 1-3 months post onset. The proportions of patients with ND for D614G, B.1.1.7, P.1, and B.1.351 at 6-8 months post onset were 20%, 20%, 30%, and 60%, respectively. There was no significant difference at this time point.
Then, we focused on 28 patients with positive cross-Nabs for three VOCs and compared the Nab titer among the four variants by the timing of sampling (Figure 3A). These raw data were shown in Supplementary Table 2. The median Nab titer (log2) with IQR against D614G, B.1.1.7, P.1, and B.1.351 at 1-3 months post onset were 5 (5–6), 5 (4–5), 4 (4–5), and 3 (2–4), respectively. The Nab titer against B.1.351 was significantly lower than that against the other three variants, and the Nab titer against P.1 was significantly lower than that against D614G. The median Nab titer (log2) with IQR against D614G, B.1.1.7, P.1, and B.1.351 at 3-6 months post onset were 4 (4-5.5), 4 (3–5), 5 (4–6), and 3 (2–4), respectively. The Nab titer against B.1.351 was also significantly lower than that against the other three variants at 3-6 months post onset. The median Nab titer (log2) with IQR against D614G, B.1.1.7, P.1, and B.1.351 at 6-8 months post onset were 4 (2–5), 5 (3–6), 4 (3–6), and 3 (2–3), respectively. The Nab titer against B.1.351 was significantly lower than that against B.1.1.7.
Figure 3 Comparisons of neutralizing antibody titers among D614G and three VOCs by the timing of sampling are shown in (A). Longitudinal analysis of neutralizing antibody titer by D614G and three VOCs in (B). Both figures focused on 28 patients with positive cross-Nabs for three VOCs. Vertical bars show the neutralizing antibody titer (log2) in (A, B). Horizontal bars in (A) show the four variants (D614G mutation, B.1.1.7, P.1, and B.1.351) by the three groups of months post-onset (1-3m, 3-6m, and 6-8m). Horizontal bars in (B) show the three groups of months post-onset (1-3m, 3-6m, and 6-8m) for each of the four variants (D614G mutation, B.1.1.7, P.1, and B.1.351). Friedman’s test and Benjamini–Hochberg correction were performed to analyze both data. The level of statistical significance was set at p < 0.05. (*p < 0.05; **p < 0.01; ***p < 0.001; and ns, not significant).
Finally, we analyzed the retention of neutralizing activities over time against the four variants (Figure 3B) by rearranging the same data shown in Figure 3A. The Nab titer against D614G significantly decreased at 6-8 months post onset compared to 1-3 months post onset. Interestingly, each Nab titer against the three VOCs did not significantly change among three time points.
Discussion
The purpose of this study was to examine the longevity of Nab activity of COVID-19 convalescent sera against D614G, and their neutralizing breadth against B.1.1.7, P.1, and B.1.351. We performed live virus neutralization assays against D614G and three VOCs to assess the Nab titers of COVID-19 convalescent sera. Infection of SARS-CoV-2 to the convalescent patients were confirmed from March 2020 to January 2021. Although B.1.1.7, P.1, and B.1.351 had already detected in Japan at the end of December 2020, only B.1.1.7 had spread in Japan and it rapidly increased from February 2021 (34, 35). A local surveillance in Japan also suggested that the B.1.1.7 became dominant after mid-April (36). These observations suggested that all participants in this study were likely to be infected with D614G. However, we could not completely exclude the possibility of VOCs infection due to the loss of the information about the viral sequence from patients’ nasopharyngeal specimens. In Addition, the imbalance of samples and small sample size were also our limitation.
This study revealed that all sera of ‘patients with pneumonia’ maintained cross-neutralizing activity against B.1.1.7, P.1, and B.1.351 until 3-8 months post infection. On the other hand, 14 out of 19 sera of ‘patients without pneumonia’ could not get or keep cross-neutralizing activity against three VOCs (Figures 1, 2A, B). This reason might be that weak immune-response against SARS-CoV-2 lead to the low Nab titers of ‘patients without pneumonia’ against D614G compared to those of ‘patients with pneumonia’ (21, 37–40). The Nab titer against B.1.351 was lower than that against the other variants (Figure 3A), as similarly reported by other studies (14, 28, 41). The neutralizing titer against D614G significantly decreased in sera of 6-8 months post onset compared to those of 1-3 months post onset (Figure 3B). Several studies have reported that the peak neutralizing antibody titer is three to five weeks post onset, and decreases rapidly, then is sustained at low level for several months (42–44). The rapid early decay was shown to be caused by the short half-life of serum antibodies and by the short life of antibody-secreting cells; the maintenance of neutralizing antibody titers was supported by long-lived plasma cells to produce long-term antibodies (45). Further follow-up will be needed to confirm whether the specific Nab titer against D614G is maintained or not.
Interestingly and surprisingly, Nab titers against the three VOCs did not decrease until 6-8 months post onset (Figure 3B), possibly indicating that Nabs that recognize common epitopes were produced after infection, were selected for survival and sustained for a long time, while Nabs that recognized specific epitopes for a variant were produced in greater numbers after infection and decreased rapidly. Our results may reflect the increasing neutralizing breadth of antibodies which recognize common epitopes among VOCs (46–48). Importantly, SARS-CoV-2 RNA and proteins were detected in intestinal enterocytes several months post onset (46). These persisting viral antigens may stimulate memory B cells continuously. Then, B cells that produce neutralizing antibodies targeting the common epitope among variants can undergo further maturation in germinal center and as a result, produce high-affinity antibodies several months later. B cells that produce neutralizing antibodies targeting the common epitope among variants can undergo further maturation in germinal center and as a result, produce high-affinity antibodies several months later. Simultaneously, low-affinity antibodies disappear over time (48). Similar to our study, other study also showed that sera from convalescent patients infected with the ancestral SARS-CoV-2 maintained the cross-neutralizing antibody titers against B.1.1.7, P.1 and B.1.351 variants (49). Additionally, they compared cross-neutralizing activity in sera from convalescent patients infected with the ancestral strain, B.1.1.7, B.1.351 or B.1.617.2 SARS-CoV-2 variants. It was shown that the sera of convalescent patients infected with the ancestral strain maintained higher level of cross-neutralizing antibody titers than those infected with the other VOCs. The increasing neutralizing potency and breadth will help us develop effective hyper immunoglobulin and monoclonal variant-resistant antibodies like sotrovimab, which targets the surface of the RBD not overlapping with the ACE2 binding site and neutralizes B.1.1.7, P.1, B.1.351, and other variants (2). Neutralizing antibodies that recognize a common epitope for variants may be kept for a long time. SARS-CoV-2 specific functional CD 4+ T cell has also an important role to help the long lived S-specific B cell to produce high-affinity antibodies (50, 51). Recent study showed that mild COVID-19 patients induced fewer but functionally superior B cell than critical patients with mechanical ventilation (52). The diversity of B cell might be brought by CD4+ T cell. Further follow-up would be required to clarify the mechanism to get the long-lived immunity and cross-neutralizing activity against VOCs.
We should be careful in interpreting the meaning of ND. It remains unclear how much Nab titer determined by our method is required to protect reinfection. In this study, we did not examine whether fragment crystallizable (Fc) portions worked to recruit immune cells or serum complement as effectors. Some studies have shown that the Fc-mediated effector function of neutralizing antibodies against SARS-CoV-2 was essential for optimal therapy (53, 54). Therefore, the recoverees with low titer or ND in our study may still be protected against reinfection or severe disease after infection. Furthermore, we need to evaluate not only humoral immunity but also cell-mediated immunity. Cell-mediated immunity might be obtained because few mutations in the T-cell epitope of VOCs are known (41, 55), although L452R mutation, which is present in some variants (B.1.167 and B.1.427/429), escapes from HLA-24 cell-mediated immunity (56). Therefore, even if the neutralization activity falls below the detection limit in the long term, convalescent COVID-19 patients might be protected from VOCs.
Data Availability Statement
The original contributions presented in the study are included in the article/Supplementary Material. Further inquiries can be directed to the corresponding author.
Ethics Statement
The studies involving human participants were reviewed and approved by The ethics committee of Kobe University Graduate School of Medicine (ID: B200200) and Hyogo Prefectural Kakogawa Medical Center. The patients/participants provided their written informed consent to participate in this study.
Author Contributions
All authors contributed to the concept of this article. YK drafted the manuscript. MN and YM provided revisions. YK, JA, MN, and YM analyzed the data. YK, SSu, KF, and LT did the experiments. YM and YN supervised the experiments. SI, YT, SSa, SN, TK, MY, and TN collected the samples. YM conducted the project. All authors approved the final version of the manuscript.
Funding
This work was supported by Hyogo Prefectural Government and the Kansai Economic Federation (KANKEIREN). The funders had no role in this study.
Conflict of Interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Publisher’s Note
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.
Acknowledgments
We thank Kazuro Sugimura MD, PhD (Superintendent, Hyogo Prefectural Hospital Agency and Professor, Kobe University) for his full support to promote this study. We express our sincere gratitude for cooperation and participation of staffs of Hyogo Prefectural Kakogawa Medical Center. We thank for BIKEN Innovative Vaccine Research Alliance Laboratories providing SARS-CoV-2 B2 strain. We thank the National Institute of Infectious Disease Japan for providing SARS-CoV-2 B.1.1.7, P.1, and B.1.351 variants. We thank biostatisticians of Clinical & Translational Research Center, Kobe University Hospital, for their advice for statistical analysis. YK obtained Taniguchi Memorial Scholarship program founded by BIKEN Foundation. SS1 and LT got Japanese Government (Monbukagakusho : MEXT) Scholarships.
Supplementary Material
The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fimmu.2022.773652/full#supplementary-material
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Keywords: SARS-CoV-2, COVID-19, variants, neutralization, breadth
Citation: Kurahashi Y, Sutandhio S, Furukawa K, Tjan LH, Iwata S, Sano S, Tohma Y, Ohkita H, Nakamura S, Nishimura M, Arii J, Kiriu T, Yamamoto M, Nagano T, Nishimura Y and Mori Y (2022) Cross-Neutralizing Breadth and Longevity Against SARS-CoV-2 Variants After Infections. Front. Immunol. 13:773652. doi: 10.3389/fimmu.2022.773652
Received: 10 September 2021; Accepted: 04 February 2022;
Published: 24 February 2022.
Edited by:
Giulia Carla Marchetti, University of Milan, ItalyReviewed by:
Youhua Xie, Shanghai Medical College of Fudan University, ChinaTaisheng Li, Peking Union Medical College Hospital (CAMS), China
Copyright © 2022 Kurahashi, Sutandhio, Furukawa, Tjan, Iwata, Sano, Tohma, Ohkita, Nakamura, Nishimura, Arii, Kiriu, Yamamoto, Nagano, Nishimura and Mori. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Yasuko Mori, eW1vcmlAbWVkLmtvYmUtdS5hYy5qcA==
†These authors have contributed equally to this work and share first authorship