Literature DB >> 34450642

Rapid detection of neutralizing antibodies to SARS-CoV-2 variants in post-vaccination sera.

Kei Miyakawa1, Sundararaj Stanleyraj Jeremiah1, Hideaki Kato2, Yutaro Yamaoka1,3, Hirofumi Go4, Satoshi Yajima5, Tomoko Shimada6, Takahiro Mihara7, Atsushi Goto7, Takeharu Yamanaka4,7, Akihide Ryo1.   

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Year:  2022        PMID: 34450642      PMCID: PMC8800509          DOI: 10.1093/jmcb/mjab050

Source DB:  PubMed          Journal:  J Mol Cell Biol        ISSN: 1759-4685            Impact factor:   6.216


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The uncontrolled spread of the coronavirus disease 2019 (COVID-19) pandemic has led to the emergence of different severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) variants across the globe. The ongoing global vaccination strategy to curtail the COVID-19 juggernaut is threatened by the rapidly spreading variants of concern (VOC) and other regional mutants, which are less responsive to neutralization by infection- or vaccine-derived antibodies (Gomez et al., 2021; Wang et al., 2021). We have previously developed the HiBiT-based virus-like particle neutralization test (hiVNT) system, which detects SARS-CoV-2 neutralizing antibodies (nAb) in sera in less than 3 h (Miyakawa et al., 2020). It uses lentivirus-based virus-like particles (VLPs) incorporated with the NanoLuc fragment peptide, HiBiT. Viral entry into reporter cells that express LgBiT intracellularly allows the viral HiBiT to fuse with the LgBiT to reconstitute whole NanoLuc luciferase, which is readily detected by luminometer (Schwinn et al., 2018; Miyakawa et al., 2020). The hiVNT assay is capable of high throughput and can be easily carried out in a low-biosafety setting. The quantitative hiVNT assay also correlates well with the gold standard neutralization assay using authentic SARS-CoV-2 (Supplementary Figure S1). In this study, we have modified the hiVNT for rapid qualitative screening of nAb to multiple VOC of SARS-CoV-2. Using qualitative hiVNT, we assess the neutralizing efficacy of the BNT162b2 mRNA vaccine (Pfizer–BioNTech) on a panel of seven epidemiologically relevant SARS-CoV-2 variants. Using the spikes of the prototype virus (D614G) and seven variants (B.1.1.7, B.1.351, P.1, R.1, B.1.617, B.1.429, and B.1.526) (Figure 1A), we generated HiBiT-containing VLPs (hiVLPs). If the serum nAb neutralize the mutant hiVLPs, their entry into the reporter cells is prevented, reducing the luminescence emitted (Figure 1B). We optimized the conditions of the hiVNT using sera of COVID-19 patients (n = 97) and healthy individuals (n = 43) with pre-defined neutralization titers (NT50) by the pseudovirus-based neutralization assay (Goto et al., 2021; Wang et al., 2021). Specifically, each of these sera was assayed by the HIV-based pseudovirus method to determine the neutralizing titer (pvNT50) and classified as pvNT50 = 50 or less (<50), 51–200, 201–500, 501–1000, and 1000 or more (>1000). The same sera were then assayed by qualitative hiVNT method with hiVLP (D614G prototype) to calculate the percentage inhibition. At a fixed serum dilution of 1 in 20, the hiVNT assay could detect the nAb titers corresponding to pvNT50 of ∼50, which is the positive cutoff in the standard pseudovirus neutralization assay. We then determined that a sample possessed neutralizing activity if it showed >40% luminescence signal inhibition in the hiVNT assay (Figure 1C). The receiver operating characteristic curve showed that this cutoff value of 40% can detect the presence of nAb with a high degree of accuracy (Figure 1D). This modification of performing the hiVNT at a fixed dilution makes the procedure less laborious and reduces the turn-around time, while achieving performance similar to the standard neutralization assays.
Figure 1

Modified hiVNT for qualitative detection of SARS-CoV-2 nAb. (A) Spike mutations of indicated SARS-CoV-2 variants used in this study. Since the N-terminus of the spike has been replaced with the CD5 signal sequence for incorporation into VLPs, the mutations marked with an asterisk are not applied in this study. (B) Eight strains of hiVLPs were added to VeroE6/TMPRSS2-LgBiT cells (VTMLG) in the presence of 5% serum. Three hours later, cells were washed and measured to detect the luminescence signal inhibition of each serum. (C) Correlation of hiVNT with pseudovirus NT. Each of COVID-19 sera was assayed by the HIV-based pseudovirus NT to determine the neutralizing titer (pvNT50) and classified as shown in x-axis. The same sera were then assayed by qualitative hiVNT method with hiVLP (D614G prototype) to calculate the percentage inhibition as shown in y-axis. Sera with the luminescence signal inhibition <40% can be deemed negative for nAb. ***P < 0.001, ****P < 0.0001, ns, not significant, two-tailed unpaired t-test. (D) Receiver operating characteristic curve of hiVNT. Area under the curve (AUC) is also shown. The cutoff value of 40% detects the presence of nAb with a high degree of accuracy (sensitivity 98.9%; specificity 100%). (E–G) Positive conversion of nAb to SARS-CoV-2 variants in post-vaccination sera from previously uninfected (E and F) or post-COVID-19 (G). Red horizontal bars represent median of luminescence signal inhibition. The positive rate of nAb against indicated strain is shown in a pie chart (F). Pre, first, and second indicate before vaccination, after first does, and after second dose, respectively.

Modified hiVNT for qualitative detection of SARS-CoV-2 nAb. (A) Spike mutations of indicated SARS-CoV-2 variants used in this study. Since the N-terminus of the spike has been replaced with the CD5 signal sequence for incorporation into VLPs, the mutations marked with an asterisk are not applied in this study. (B) Eight strains of hiVLPs were added to VeroE6/TMPRSS2-LgBiT cells (VTMLG) in the presence of 5% serum. Three hours later, cells were washed and measured to detect the luminescence signal inhibition of each serum. (C) Correlation of hiVNT with pseudovirus NT. Each of COVID-19 sera was assayed by the HIV-based pseudovirus NT to determine the neutralizing titer (pvNT50) and classified as shown in x-axis. The same sera were then assayed by qualitative hiVNT method with hiVLP (D614G prototype) to calculate the percentage inhibition as shown in y-axis. Sera with the luminescence signal inhibition <40% can be deemed negative for nAb. ***P < 0.001, ****P < 0.0001, ns, not significant, two-tailed unpaired t-test. (D) Receiver operating characteristic curve of hiVNT. Area under the curve (AUC) is also shown. The cutoff value of 40% detects the presence of nAb with a high degree of accuracy (sensitivity 98.9%; specificity 100%). (E–G) Positive conversion of nAb to SARS-CoV-2 variants in post-vaccination sera from previously uninfected (E and F) or post-COVID-19 (G). Red horizontal bars represent median of luminescence signal inhibition. The positive rate of nAb against indicated strain is shown in a pie chart (F). Pre, first, and second indicate before vaccination, after first does, and after second dose, respectively. The study samples were collected from otherwise healthy medical personnel who were administered with two doses of the vaccine 3 weeks apart. The mean age of the participants was 42 years (ranging 24–62 years). Serum of the vaccinees was collected at three instances: before the first dose, 2 weeks after the first dose, and 1 week after the second dose. All sera collected prior first vaccine shot were checked for seropositivity using NP-IgG detection assay (Kubo et al., 2020) to get two vaccine recipient groups: previously uninfected (n = 105) and post-COVID-19 (n = 6). Among the previously uninfected vaccine recipients, 57.1% (60/105) showed a positive conversion for nAb against the conventional strain (D614G) after the first dose. However, the nAb against the mutant strains (except B.1.526) were much lower (16.2%–39.0%) (Figure 1E and F). A steady increase in nAb was observed after the first dose, followed by the achievement of significant nAb levels against all mutants in most people after the second dose (Figure 1E and F). The vaccine-derived nAb possessed high median inhibition rates of >94% for all variants except B.1.351, which was 89.5% (94/105). All the six individuals with past SARS-CoV-2 infection achieved significant levels of nAb after the first dose despite some possessing nAb below threshold prior initial vaccination (Figure 1G). Fitter mutants of SARS-CoV-2 of varying dissimilarity to the initial wild-type outbreak strain have emerged and disseminated rapidly. This has raised concerns about the efficacy of the currently available vaccines, which rely on the antigenic determinants of the older virus to provide protective immunity. Among the currently studied mutants, those possessing the E484K mutation such as B.1.351, P.1, and R.1 are notorious for escaping infection- and vaccine-derived nAb (Gomez et al., 2021). To clear this doubt on vaccine escape, we developed an extensive mutant panel including the recently surging B.1.617 double mutant (E484Q and L452R) (https://outbreak.info/), which is presumed to have higher propensity to escape nAb. In this first report of vaccine efficacy assessment from Japan, we reveal that the BNT162b2 mRNA vaccine has adequate efficacy against the epidemiologically relevant SARS-CoV-2 variants. Vaccine escape was noted in all mutants but only in a minor fraction, which was higher for the B.1.351 mutant. Albeit a small sample size, we observed that one dose of vaccine was sufficient to elicit protective humoral response in previously infected people as documented by previous reports (Stamatatos et al., 2021). Despite the presence of their corresponding nAb in the serum, mutants can cause vaccine breakthrough infections, suggesting that the circulating nAb might not offer protection at mucosal surfaces to prevent infection (Hacisuleyman et al., 2021). In the current study, we show that the BNT162b2 mRNA vaccine can activate humoral immunity against the major SARS-CoV-2 mutants that are currently in circulation. Moreover, this study shows that people who have recovered from COVID-19 could be effectively protected with a single round of vaccination, corroborating the claim of Frieman et al. (2021). Our modified hiVNT possesses the advantages of being rapid, safe, concise, and comprehensive over the conventional neutralization assays. However, this modified hiVNT assay is qualitative and cannot quantify the nAb titers at relatively higher levels that maybe relevant to their long-term persistence and duration of protection. Using a panel of seven SARS-CoV-2 variants and a single prototype virus, our modified hiVNT would be useful for large-scale community-wide testing to detect protective immunity that may confer vaccine/immune passport in the ongoing COVID-19 pandemic. The selection pressure exerted by the current vaccines would cause the evolution of vaccine-escape mutants, which must be monitored in the future and for which the hiVNT assay developed using the spikes of new variants could come in handy. [ analyzed the data and wrote the manuscript; Y.Y. performed the research and analyzed the data; H.K., H.G., S.Y., T.S., T.M., and A.G. recruited the participants and collected the specimens; H.K., H.G., and T.Y. analyzed the data; A.R. directed the research, analyzed the data, and wrote the manuscript.] Click here for additional data file.
  10 in total

1.  CRISPR-Mediated Tagging of Endogenous Proteins with a Luminescent Peptide.

Authors:  Marie K Schwinn; Thomas Machleidt; Kris Zimmerman; Christopher T Eggers; Andrew S Dixon; Robin Hurst; Mary P Hall; Lance P Encell; Brock F Binkowski; Keith V Wood
Journal:  ACS Chem Biol       Date:  2017-09-21       Impact factor: 5.100

2.  Sustained Neutralizing Antibodies 6 Months Following Infection in 376 Japanese COVID-19 Survivors.

Authors:  Atsushi Goto; Hirofumi Go; Kei Miyakawa; Yutaro Yamaoka; Norihisa Ohtake; Sousuke Kubo; Sundararaj Stanleyraj Jeremiah; Takahiro Mihara; Kotaro Senuki; Tomoyuki Miyazaki; Satoshi Ikeda; Takashi Ogura; Hideaki Kato; Ikuro Matsuba; Naoko Sanno; Masaaki Miyakawa; Haruo Ozaki; Masakazu Kikuoka; Yasuo Ohashi; Akihide Ryo; Takeharu Yamanaka
Journal:  Front Microbiol       Date:  2021-05-07       Impact factor: 5.640

3.  SARS-CoV-2 vaccines for all but a single dose for COVID-19 survivors.

Authors:  Matthew Frieman; Anthony D Harris; Ramin Sedaghat Herati; Florian Krammer; Alberto Mantovani; Maria Rescigno; Mohammad M Sajadi; Viviana Simon
Journal:  EBioMedicine       Date:  2021-05-26       Impact factor: 8.143

4.  Vaccine Breakthrough Infections with SARS-CoV-2 Variants.

Authors:  Ezgi Hacisuleyman; Caryn Hale; Yuhki Saito; Nathalie E Blachere; Marissa Bergh; Erin G Conlon; Dennis J Schaefer-Babajew; Justin DaSilva; Frauke Muecksch; Christian Gaebler; Richard Lifton; Michel C Nussenzweig; Theodora Hatziioannou; Paul D Bieniasz; Robert B Darnell
Journal:  N Engl J Med       Date:  2021-04-21       Impact factor: 91.245

5.  Antibody resistance of SARS-CoV-2 variants B.1.351 and B.1.1.7.

Authors:  Pengfei Wang; Manoj S Nair; Lihong Liu; Sho Iketani; Yang Luo; Yicheng Guo; Maple Wang; Jian Yu; Baoshan Zhang; Peter D Kwong; Barney S Graham; John R Mascola; Jennifer Y Chang; Michael T Yin; Magdalena Sobieszczyk; Christos A Kyratsous; Lawrence Shapiro; Zizhang Sheng; Yaoxing Huang; David D Ho
Journal:  Nature       Date:  2021-03-08       Impact factor: 69.504

6.  Rapid quantitative screening assay for SARS-CoV-2 neutralizing antibodies using HiBiT-tagged virus-like particles.

Authors:  Kei Miyakawa; Sundararaj Stanleyraj Jeremiah; Norihisa Ohtake; Satoko Matsunaga; Yutaro Yamaoka; Mayuko Nishi; Takeshi Morita; Ryo Saji; Mototsugu Nishii; Hirokazu Kimura; Hideki Hasegawa; Ichiro Takeuchi; Akihide Ryo
Journal:  J Mol Cell Biol       Date:  2020-11-25       Impact factor: 6.216

7.  Development of an Automated Chemiluminescence Assay System for Quantitative Measurement of Multiple Anti-SARS-CoV-2 Antibodies.

Authors:  Sousuke Kubo; Norihisa Ohtake; Kei Miyakawa; Sundararaj Stanleyraj Jeremiah; Yutaro Yamaoka; Kota Murohashi; Eri Hagiwara; Takahiro Mihara; Atsushi Goto; Etsuko Yamazaki; Takashi Ogura; Takeshi Kaneko; Takeharu Yamanaka; Akihide Ryo
Journal:  Front Microbiol       Date:  2021-01-15       Impact factor: 5.640

Review 8.  Emerging SARS-CoV-2 Variants and Impact in Global Vaccination Programs against SARS-CoV-2/COVID-19.

Authors:  Carmen Elena Gómez; Beatriz Perdiguero; Mariano Esteban
Journal:  Vaccines (Basel)       Date:  2021-03-11

9.  mRNA vaccination boosts cross-variant neutralizing antibodies elicited by SARS-CoV-2 infection.

Authors:  Leonidas Stamatatos; Julie Czartoski; Yu-Hsin Wan; Leah J Homad; Vanessa Rubin; Hayley Glantz; Moni Neradilek; Emilie Seydoux; Madeleine F Jennewein; Anna J MacCamy; Junli Feng; Gregory Mize; Stephen C De Rosa; Andrés Finzi; Maria P Lemos; Kristen W Cohen; Zoe Moodie; M Juliana McElrath; Andrew T McGuire
Journal:  Science       Date:  2021-03-25       Impact factor: 63.714

10.  Longitudinal Dynamics of the Neutralizing Antibody Response to Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) Infection.

Authors:  Kai Wang; Quan-Xin Long; Hai-Jun Deng; Jie Hu; Qing-Zhu Gao; Gui-Ji Zhang; Chang-Long He; Lu-Yi Huang; Jie-Li Hu; Juan Chen; Ni Tang; Ai-Long Huang
Journal:  Clin Infect Dis       Date:  2021-08-02       Impact factor: 9.079

  10 in total
  8 in total

1.  Persistence of Robust Humoral Immune Response in Coronavirus Disease 2019 Convalescent Individuals Over 12 Months After Infection.

Authors:  Kei Miyakawa; Sousuke Kubo; Sundararaj Stanleyraj Jeremiah; Hirofumi Go; Yutaro Yamaoka; Norihisa Ohtake; Hideaki Kato; Satoshi Ikeda; Takahiro Mihara; Ikuro Matsuba; Naoko Sanno; Masaaki Miyakawa; Masaharu Shinkai; Tomoyuki Miyazaki; Takashi Ogura; Shuichi Ito; Takeshi Kaneko; Kouji Yamamoto; Atsushi Goto; Akihide Ryo
Journal:  Open Forum Infect Dis       Date:  2021-12-10       Impact factor: 3.835

2.  Cross-Reactivity of IgG Antibodies and Virus Neutralization in mRNA-Vaccinated People Against Wild-Type SARS-CoV-2 and the Five Most Common SARS-CoV-2 Variants of Concern.

Authors:  Mandy Schwarze; Andor Krizsan; Alexandra Brakel; Fabian Pohl; Daniela Volke; Ralf Hoffmann
Journal:  Front Immunol       Date:  2022-06-15       Impact factor: 8.786

3.  Immunological features that associate with the strength of antibody responses to BNT162b2 mRNA vaccine against SARS-CoV-2.

Authors:  Takahiro Kageyama; Shigeru Tanaka; Keishi Etori; Koto Hattori; Kazusa Miyachi; Tadamichi Kasuya; Taro Iwamoto; Kei Ikeda; Hidetoshi Igari; Koutaro Yokote; Hiroshi Nakajima
Journal:  Vaccine       Date:  2022-02-25       Impact factor: 4.169

4.  Antibody Responses to the BNT162b2 mRNA Vaccine in Healthcare Workers in a General Hospital in Japan: A Comparison of Two Assays for Anti-spike Protein Immunoglobulin G.

Authors:  Makoto Hibino; Shigehiro Watanabe; Riko Kamada; Shunichi Tobe; Kazunari Maeda; Shigeto Horiuchi; Tetsuri Kondo
Journal:  Intern Med       Date:  2021-12-28       Impact factor: 1.271

5.  Molecular and Epidemiological Characterization of Emerging Immune-Escape Variants of SARS-CoV-2.

Authors:  Kei Miyakawa; Sundararaj Stanleyraj Jeremiah; Yutaro Yamaoka; Takahiko Koyama; Reitaro Tokumasu; Michiharu Kudo; Hideaki Kato; Akihide Ryo
Journal:  Front Med (Lausanne)       Date:  2022-02-10

6.  The Impact of COVID-19 on Mortality in Italy: Retrospective Analysis of Epidemiological Trends.

Authors:  Alessandro Rovetta; Akshaya Srikanth Bhagavathula
Journal:  JMIR Public Health Surveill       Date:  2022-04-07

7.  A Faster, Novel Technique to Detect COVID-19 Neutralizing Antibodies.

Authors:  Wei-Huai Chiu; Wei-Yi Kong; Yu-Jang Su; Jyun-Wei Wen; Ciao-Ming Tsai; Chitsung Hong; Pang-Yen Chen; Cheng-Hao Ko
Journal:  Med Sci Monit       Date:  2022-03-27

Review 8.  Detecting SARS-CoV-2 neutralizing immunity: highlighting the potential of split nanoluciferase technology.

Authors:  Sundararaj Stanleyraj Jeremiah; Kei Miyakawa; Akihide Ryo
Journal:  J Mol Cell Biol       Date:  2022-08-17       Impact factor: 8.185

  8 in total

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