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Qin Z, Liu Y, Jia X, Zhou J, Li H, Wang X, Zhang S, Chang H, Wang G. One-step synthesized multisize AuAg alloy nanoparticles with high SERS sensitivity in directly detecting SARS-CoV-2 spike protein. Anal Chim Acta 2024; 1317:342919. [PMID: 39030015 DOI: 10.1016/j.aca.2024.342919] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2024] [Revised: 06/19/2024] [Accepted: 06/27/2024] [Indexed: 07/21/2024]
Abstract
The coronavirus disease 2019 (COVID-19) caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has resulted in widespread disease transmission, challenging the stability of global healthcare systems. Surface-enhanced Raman scattering (SERS) as an easy operation, fast, and low-cost technology illustrates a good potential in detecting SARS-CoV-2. In the study, one-step fabrication of gold-silver alloy nanoparticles (AuAgNPs) with adjustable metal proportions and diameters is employed as SERS substrates. The angiotensin-converting enzyme 2 (ACE2) functionalized AuAgNPs are applied as sensor surfaces to detect SARS-CoV-2 S protein. By optimizing the SERS substrates, ACE2/Au35Ag65NPs illustrate higher performance in detecting the SARS-CoV-2 S protein with a limit of detection (LOD) of 10 fg/mL in both phosphate-buffered saline (PBS) and pharyngeal swabs solution (PSS). It also provides excellent reproducibility with a relative standard deviation (RSD) of 7.7 % and 7.9 %, respectively. This easily preparable and highly reproducible SERS substrate has good potential in the practical application of detecting SARS-CoV-2.
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Affiliation(s)
- Zhenle Qin
- School of Electronic Engineering, Guangxi University of Science and Technology, No.2, Wenchang Road, Liuzhou City, 545006, Guangxi, China
| | - Yansheng Liu
- School of Electronic Engineering, Guangxi University of Science and Technology, No.2, Wenchang Road, Liuzhou City, 545006, Guangxi, China.
| | - Xiaobo Jia
- School of Electronic Engineering, Guangxi University of Science and Technology, No.2, Wenchang Road, Liuzhou City, 545006, Guangxi, China
| | - Jin Zhou
- School of Electronic Engineering, Guangxi University of Science and Technology, No.2, Wenchang Road, Liuzhou City, 545006, Guangxi, China
| | - Hongli Li
- School of Electronic Engineering, Guangxi University of Science and Technology, No.2, Wenchang Road, Liuzhou City, 545006, Guangxi, China
| | - Xiaohong Wang
- School of Electronic Engineering, Guangxi University of Science and Technology, No.2, Wenchang Road, Liuzhou City, 545006, Guangxi, China
| | - Shaohui Zhang
- School of Electronic Engineering, Guangxi University of Science and Technology, No.2, Wenchang Road, Liuzhou City, 545006, Guangxi, China
| | - Haixin Chang
- Quantum-Nano Matter and Device Lab, State Key Laboratory of Material Processing and Die and Mould Technology, School of Materials Science and Engineering, Huazhong University of Science and Technology Wuhan, 430074, Hubei, China
| | - Guofu Wang
- School of Electronic Engineering, Guangxi University of Science and Technology, No.2, Wenchang Road, Liuzhou City, 545006, Guangxi, China.
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Kim YK, Choi Y, Jung JI, Kim JY, Kim MH, Curtis J, Lee EB. Modeling of antibody responses to COVID-19 vaccination in patients with rheumatoid arthritis. Sci Rep 2024; 14:1335. [PMID: 38228736 PMCID: PMC10791674 DOI: 10.1038/s41598-024-51535-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2023] [Accepted: 01/06/2024] [Indexed: 01/18/2024] Open
Abstract
To construct a model of the antibody response to COVID-19 vaccination in patients with rheumatoid arthritis (RA), and to identify clinical factors affecting the antibody response. A total of 779 serum samples were obtained from 550 COVID-19-naïve RA patients who were vaccinated against COVID-19. Antibody titers for the receptor binding domain (anti-RBD) and nucleocapsid (anti-N) were measured. The time from vaccination, and the log-transformed anti-RBD titer, were modeled using a fractional polynomial method. Clinical factors affecting antibody responses were analyzed by a regression model using generalized estimating equation. The anti-RBD titer peaked at about 2 weeks post-vaccination and decreased exponentially to 36.5% of the peak value after 2 months. Compared with the first vaccination, the 3rd or 4th vaccinations shifted the peaks of anti-RBD antibody response curves significantly upward (by 28-fold [4-195] and 32-fold [4-234], respectively). However, there was no significant shift in the peak from the 3rd vaccination to the 4th vaccination (p = 0.64). Multivariable analysis showed that sulfasalazine increased the vaccine response (by 1.49-fold [1.13-1.97]), but abatacept or JAK inhibitor decreased the vaccine response (by 0.13-fold [0.04-0.43] and 0.44-fold [0.26-0.74], respectively). Age was associated with lower ln [anti-RBD] values (coefficient: - 0.03 [- 0.04 to - 0.02]). In conclusion, the anti-RBD response of RA patients peaked at 2 weeks after COVID-19 vaccination, and then decreased exponentially, with the maximum peak increase observed after the 3rd vaccination. The antibody response was affected by age and the medications used to treat RA.
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Affiliation(s)
- Yun Kyu Kim
- Division of Rheumatology, Department of Internal Medicine, Seoul National University Hospital, Seoul, Republic of Korea
| | - Yunhee Choi
- Medical Research Collaborating Center, Seoul National University Hospital, Seoul, Republic of Korea
| | - Ji In Jung
- Division of Rheumatology, Department of Internal Medicine, Seoul National University Hospital, Seoul, Republic of Korea
| | - Ju Yeon Kim
- Division of Rheumatology, Department of Internal Medicine, Seoul National University Hospital, Seoul, Republic of Korea
| | - Mi Hyeon Kim
- Division of Rheumatology, Department of Internal Medicine, Seoul National University Hospital, Seoul, Republic of Korea
| | - Jeffrey Curtis
- Division of Clinical Immunology and Rheumatology, University of Alabama at Birmingham, Birmingham, USA
| | - Eun Bong Lee
- Division of Rheumatology, Department of Internal Medicine, Seoul National University Hospital, Seoul, Republic of Korea.
- Department of Molecular Medicine and Biopharmaceutical Sciences, Graduate School of Convergence Science and Technology, Seoul National University, Seoul, Republic of Korea.
- Division of Rheumatology, Department of Internal Medicine, Seoul National University College of Medicine, 101 Daehak-ro, Jongno-gu, Seoul, 110-744, Republic of Korea.
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Simon G, Favresse J, Gillot C, Closset M, Catry É, Dogné JM, Douxfils J, Wieërs G, Bayart JL. Kinetics and ability of binding antibody and surrogate virus neutralization tests to predict neutralizing antibodies against the SARS-CoV-2 Omicron variant following BNT162b2 booster administration. Clin Chem Lab Med 2023; 61:1875-1885. [PMID: 37078220 DOI: 10.1515/cclm-2022-1258] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2022] [Accepted: 03/27/2023] [Indexed: 04/21/2023]
Abstract
OBJECTIVES To assess the long-term humoral immunity induced by booster administration, as well as the ability of binding antibody and surrogate virus neutralization tests (sVNT) to predict neutralizing antibodies (NAbs) against the SARS-CoV-2 Omicron variant. METHODS A total of 269 sera samples were analyzed from 64 healthcare workers who had received a homologous booster dose of BNT162b2. Neutralizing antibodies assessed by sVNT and anti-RBD IgG measured with the sCOVG assay (Siemens Healthineers®) were analyzed at five timepoints; before and up to 6 months following the booster. Antibody titers were correlated with neutralizing antibodies against the Omicron BA.1 variant obtained by pseudovirus neutralization test (pVNT) as a reference method. RESULTS While Wild-type sVNT percentage of inhibition (POI) remained above 98.6% throughout the follow-up period after booster administration, anti-RBD IgG and NAbs assessed by Omicron BA.1 pVNT showed respectively a 3.4-fold and 13.3-fold decrease after 6 months compared to the peak reached at day 14. NAbs assessed by Omicron sVNT followed a steady decline until reaching a POI of 53.4%. Anti-RBD IgG and Omicron sVNT assays were strongly correlated (r=0.90) and performed similarly to predict the presence of neutralizing antibodies with Omicron pVNT (area under the ROC: 0.82 for both assays). In addition, new adapted cut-off values of anti-RBD IgG (>1,276 BAU/mL) and Omicron sVNT (POI>46.6%) were found to be better predictors of neutralizing activity. CONCLUSIONS This study showed a significant drop in humoral immunity 6 months after booster administration. Anti-RBD IgG and Omicron sVNT assays were highly correlated and could predict neutralizing activity with moderate performance.
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Affiliation(s)
- Germain Simon
- Department of Laboratory Medicine, Clinique St-Pierre, Ottignies, Belgium
| | - Julien Favresse
- Department of Laboratory Medicine, Clinique St-Luc Bouge, Namur, Belgium
- Department of Pharmacy, Namur Research Institute for LIfe Sciences (NARILIS), University of Namur, Namur, Belgium
| | - Constant Gillot
- Department of Pharmacy, Namur Research Institute for LIfe Sciences (NARILIS), University of Namur, Namur, Belgium
| | | | | | - Jean-Michel Dogné
- Department of Pharmacy, Namur Research Institute for LIfe Sciences (NARILIS), University of Namur, Namur, Belgium
| | - Jonathan Douxfils
- Department of Pharmacy, Namur Research Institute for LIfe Sciences (NARILIS), University of Namur, Namur, Belgium
- QUALIblood SA, Namur, Belgium
| | - Grégoire Wieërs
- Department of Pharmacy, Namur Research Institute for LIfe Sciences (NARILIS), University of Namur, Namur, Belgium
- Department of Internal Medicine, Clinique St-Pierre, Ottignies, Belgium
| | - Jean-Louis Bayart
- Department of Laboratory Medicine, Clinique St-Pierre, Ottignies, Belgium
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Serra N, Andriolo M, Butera I, Mazzola G, Sergi CM, Fasciana TMA, Giammanco A, Gagliano MC, Cascio A, Di Carlo P. A Serological Analysis of the Humoral Immune Responses of Anti-RBD IgG, Anti-S1 IgG, and Anti-S2 IgG Levels Correlated to Anti-N IgG Positivity and Negativity in Sicilian Healthcare Workers (HCWs) with Third Doses of the mRNA-Based SARS-CoV-2 Vaccine: A Retrospective Cohort Study. Vaccines (Basel) 2023; 11:1136. [PMID: 37514952 PMCID: PMC10384738 DOI: 10.3390/vaccines11071136] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2023] [Revised: 06/07/2023] [Accepted: 06/20/2023] [Indexed: 07/30/2023] Open
Abstract
BACKGROUND With SARS-CoV-2 antibody tests on the market, healthcare providers must be confident that they can use the results to provide actionable information to understand the characteristics and dynamics of the humoral response and antibodies (abs) in SARS-CoV-2-vaccinated patients. In this way, the study of the antibody responses of healthcare workers (HCWs), a population that is immunocompetent, adherent to vaccination, and continuously exposed to different virus variants, can help us understand immune protection and determine vaccine design goals. METHODS We retrospectively evaluated antibody responses via multiplex assays in a sample of 538 asymptomatic HCWs with a documented complete vaccination cycle of 3 doses of mRNA vaccination and no previous history of infection. Our sample was composed of 49.44% males and 50.56% females, with an age ranging from 21 to 71 years, and a mean age of 46.73 years. All of the HCWs' sera were collected from April to July 2022 at the Sant'Elia Hospital of Caltanissetta to investigate the immunologic responses against anti-RBD, anti-S1, anti-S2, and anti-N IgG abs. RESULTS A significant difference in age between HCWs who were positive and negative for anti-N IgG was observed. For anti-S2 IgG, a significant difference between HCWs who were negative and positive compared to anti-N IgG was observed only for positive HCWs, with values including 10 (U/mL)-100 (U/mL); meanwhile, for anti-RBD IgG and anti-S1 IgG levels, there was only a significant difference observed for positive HCWs with diluted titers. For the negative values of anti-N IgG, among the titer dilution levels of anti-RBD, anti-S1, and anti-S2 IgG, the anti-S2 IgG levels were significantly lower than the anti-RBD and anti-S1 levels; in addition, the anti-S1 IgG levels were significantly lower than the anti-RBD IgG levels. For the anti-N IgG positive levels, only the anti-S2 IgG levels were significantly lower than the anti-RBD IgG and anti-S1 IgG levels. Finally, a logistic regression analysis showed that age and anti-S2 IgG were negative and positive predictors of anti-N IgG levels, respectively. The analysis between the vaccine type and mixed mRNA combination showed higher levels of antibodies in mixed vaccinated HCWs. This finding disappeared in the anti-N positive group. CONCLUSIONS Most anti-N positive HCWs showed antibodies against the S2 domain and were young subjects. Therefore, the authors suggest that including the anti-SARS-CoV-2-S2 in antibody profiles can serve as a complementary testing approach to qRT-PCR for the early identification of asymptomatic infections in order to reduce the impact of potential new SARS-CoV-2 variants. Our serological investigation on the type of mRNA vaccine and mixed mRNA vaccines shows that future investigations on the serological responses in vaccinated asymptomatic patients exposed to previous infection or reinfection are warranted for updated vaccine boosters.
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Affiliation(s)
- Nicola Serra
- Department of Public Health, University Federico II of Naples, 80131 Napoli, Italy
| | - Maria Andriolo
- Clinical Pathology Laboratory, Provincial Health Authority of Caltanissetta, 93100 Caltanissetta, Italy
| | - Ignazio Butera
- Degree Course in Medicine and Surgery, Medical Scholl of Hypatia, University of Palermo, 93100 Caltanissetta, Italy
| | - Giovanni Mazzola
- Infectious Disease Unit, Provincial Health Authority of Caltanissetta, 93100 Caltanissetta, Italy
| | - Consolato Maria Sergi
- Department of Pathology and Laboratory Medicine, University of Ottawa, 401 Smyth Road, Ottawa, ON K1H 8L1, Canada
| | - Teresa Maria Assunta Fasciana
- Department of Health Promotion, Maternal-Childhood, Internal Medicine of Excellence "G. D'Alessandro", University of Palermo, 90127 Palermo, Italy
| | - Anna Giammanco
- Department of Health Promotion, Maternal-Childhood, Internal Medicine of Excellence "G. D'Alessandro", University of Palermo, 90127 Palermo, Italy
| | - Maria Chiara Gagliano
- Infectious Disease Unit, Department of Health Promotion, Maternal-Childhood, Internal Medicine of Excellence "G. D'Alessandro", University of Palermo, 90127 Palermo, Italy
| | - Antonio Cascio
- Infectious Disease Unit, Department of Health Promotion, Maternal-Childhood, Internal Medicine of Excellence "G. D'Alessandro", University of Palermo, 90127 Palermo, Italy
| | - Paola Di Carlo
- Infectious Disease Unit, Department of Health Promotion, Maternal-Childhood, Internal Medicine of Excellence "G. D'Alessandro", University of Palermo, 90127 Palermo, Italy
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Lee B, Ko JH, Lee KH, Kim YC, Song YG, Park YS, Baek YJ, Ahn JY, Choi JY, Song KH, Kim ES, Bae S, Kim SH, Jeong HW, Kim SW, Kwon KT, Kim SH, Jeong H, Kim B, Kim SS, Choi WS, Peck KR, Kang ES. Estimation of SARS-CoV-2 Neutralizing Activity and Protective Immunity in Different Vaccine Types Using Three Surrogate Virus Neutralization Test Assays and Two Semiquantitative Binding Assays Targeting the Receptor-Binding Domain. Microbiol Spectr 2022; 10:e0266922. [PMID: 36250875 PMCID: PMC9769750 DOI: 10.1128/spectrum.02669-22] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2022] [Accepted: 09/12/2022] [Indexed: 01/09/2023] Open
Abstract
Estimating neutralizing activity in vaccinees is crucial for predicting the protective effect against severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). As the plaque reduction neutralization test (PRNT) requires a biosafety level 3 facility, it would be advantageous if surrogate virus neutralization test (sVNT) assays and binding assays could predict neutralizing activity. Here, five different assays were evaluated with respect to the PRNT in vaccinees: three sVNT assays from GenScript, Boditech Med, and SD Biosensor and two semiquantitative binding assays from Roche and Abbott. The vaccinees were subjected to three vaccination protocols: homologous ChAdOx1, homologous BNT162b2, and heterologous administration. The ability to predict a 50% neutralizing dose (ND50) of ≥20 largely varied among the assays, with the binding assays showing substantial agreement (kappa, ~0.90) and the sVNT assays showing relatively poor performance, especially in the ChAdOx1 group (kappa, 0.33 to 0.97). The ability to predict an ND50 value of ≥118.25, indicating a protective effect, was comparable among different assays. Applying optimal cutoffs based on Youden's index, the kappa agreements were greater than 0.60 for all assays in the total group. Overall, relatively poor performance was demonstrated in the ChAdOx1 group, owing to low antibody titers. Although there were intra-assay differences related to the vaccination protocols, as well as interassay differences, all assays demonstrated fair performance in predicting the protective effect using the new cutoffs. This study demonstrates the need for a different cutoff for each assay to appropriately determine a higher neutralizing titer and suggests the clinical feasibility of using various assays for estimation of the protective effect. IMPORTANCE The coronavirus disease 2019 (COVID-19) pandemic continues to last, despite high COVID-19 vaccination rates. As many people experience breakthrough infection after prior infection and/or vaccination, estimating the neutralization activity and predicting the protective effect are major issues of concern. However, since standard neutralization tests are not available in most clinical laboratories, it would be beneficial if commercial assays could predict these aspects. In this study, we evaluated the performance of three sVNT assays and two semiquantitative binding assays targeting the receptor-binding domain with respect to the PRNT. Our results suggest that these assays could be used for predicting the protective effect by adjusting the cutoffs.
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Affiliation(s)
- Beomki Lee
- Department of Laboratory Medicine and Genetics, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea
| | - Jae-Hoon Ko
- Division of Infectious Diseases, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea
| | - Kyoung Hwa Lee
- Division of Infectious Diseases, Department of Internal Medicine, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, South Korea
| | - Yong Chan Kim
- Division of Infectious Diseases, Department of Internal Medicine, Yongin Severance Hospital, Yonsei University College of Medicine, Yongin, South Korea
| | - Young Goo Song
- Division of Infectious Diseases, Department of Internal Medicine, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, South Korea
| | - Yoon Soo Park
- Division of Infectious Diseases, Department of Internal Medicine, Yongin Severance Hospital, Yonsei University College of Medicine, Yongin, South Korea
| | - Yae Jee Baek
- Department of Internal Medicine, Severance Hospital, Yonsei University College of Medicine, Seoul, South Korea
| | - Jin Young Ahn
- Department of Internal Medicine, Severance Hospital, Yonsei University College of Medicine, Seoul, South Korea
| | - Jun Yong Choi
- Department of Internal Medicine, Severance Hospital, Yonsei University College of Medicine, Seoul, South Korea
| | - Kyoung-Ho Song
- Department of Internal Medicine, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, South Korea
| | - Eu Suk Kim
- Department of Internal Medicine, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, South Korea
| | - Seongman Bae
- Department of Infectious Diseases, Asan Medical Center, University of Ulsan College of Medicine, Seoul, South Korea
| | - Sung-Han Kim
- Department of Infectious Diseases, Asan Medical Center, University of Ulsan College of Medicine, Seoul, South Korea
| | - Hye Won Jeong
- Department of Internal Medicine, Chungbuk National University College of Medicine, Cheongju, South Korea
| | - Shin-Woo Kim
- Department of Internal Medicine, School of Medicine, Kyungpook National University, Daegu, South Korea
| | - Ki Tae Kwon
- Division of Infectious Diseases, Department of Internal Medicine, Kyungpook National University Chilgok Hospital, School of Medicine, Kyungpook National University, Daegu, South Korea
| | - Su-Hwan Kim
- Korea Disease Control and Prevention Agency, Cheongju, Chungcheongbuk, South Korea
| | - Hyeonji Jeong
- Korea Disease Control and Prevention Agency, Cheongju, Chungcheongbuk, South Korea
| | - Byoungguk Kim
- Korea Disease Control and Prevention Agency, Cheongju, Chungcheongbuk, South Korea
| | - Sung Soon Kim
- Korea Disease Control and Prevention Agency, Cheongju, Chungcheongbuk, South Korea
| | - Won Suk Choi
- Division of Infectious Diseases, Department of Internal Medicine, Ansan Hospital, Korea University College of Medicine, Ansan, South Korea
| | - Kyong Ran Peck
- Division of Infectious Diseases, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea
| | - Eun-Suk Kang
- Department of Laboratory Medicine and Genetics, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea
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Durability of Immune Response to ChAdOx1-nCoV-19 Vaccine in Solid Cancer Patients Undergoing Anticancer Treatment. Vaccines (Basel) 2022; 10:vaccines10101662. [PMID: 36298528 PMCID: PMC9609471 DOI: 10.3390/vaccines10101662] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2022] [Revised: 09/29/2022] [Accepted: 10/01/2022] [Indexed: 11/13/2022] Open
Abstract
There are limited data available about the durability of the immune response after administration of the widely used adenovirus-vectored ChAdOx1-nCoV-19 vaccine in cancer patients. This prospective longitudinal observational study analyzed follow-up data of immunogenic responses 12 weeks after the second dose of the ChAdOx1-nCoV-19 vaccine in 290 oncological patients compared to healthy controls. The study aimed to assess the persistence of the humoral immune response three months after the second dose, and omicron neutralization was also evaluated. Three months after completion of the second vaccine dose, the geometric mean titer of SARS-CoV-2 binding total Ig statistically decreased by 42% compared to those at 4 weeks, and was lower than that of the healthy control. Six percent of patients became seronegative for anti-RBD total Ig. Only 5% (2 of 40 samples) tested positive for surrogate neutralization against SAR-CoV-2 Omicron BA.2. Across different therapy types, a waning in immunogenicity was observed within three months after the second dose of the ChAdOx1 nCoV-19 vaccine, rendering it insufficient at that point to protect against the SAR-CoV-2 Omicron BA.2 variant.
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Kanai D, Wakui H, Haze T, Azushima K, Kinguchi S, Tsukamoto S, Kanaoka T, Urate S, Toya Y, Hirawa N, Kato H, Watanabe F, Hanaoka K, Hanaoka M, Mitsuhashi H, Yamaguchi S, Ohnishi T, Tamura K. SARS-CoV-2 spike protein antibody titers 6 months after SARS-CoV-2 mRNA vaccination among patients undergoing hemodialysis in Japan. Clin Exp Nephrol 2022; 26:988-996. [PMID: 35751753 PMCID: PMC9244285 DOI: 10.1007/s10157-022-02243-8] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2022] [Accepted: 05/26/2022] [Indexed: 01/05/2023]
Abstract
BACKGROUND Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) vaccination is shown to prevent severe illness and death in hemodialysis (HD) patients, but the immune response to vaccines is reduced in this population. This study compared SARS-CoV-2 spike protein antibody titers between HD patients and healthy controls in Japan for up to 6 months following vaccination. METHODS A multi-institutional retrospective study at five clinics in Japan was conducted using 412 HD patients and 156 healthy controls who received two doses of the BNT162b2 (Pfizer-BioNTech) mRNA vaccine. Anti-SARS-CoV-2 spike protein S1 IgG antibody titers were measured at 1, 3, and 6 months after the second dose. The attenuation speed was calculated as slope (i.e., -β) using a linear mixed-effects model toward the log-transformed antibody titers. RESULTS The HD group had significantly lower month 1 antibody titers (Ab-titer-1) than the controls, and these remained lower through month 6 (95% CI: 2617.1 (1296.7, 5240.8) vs. 7285.4 (4403.9, 11,000.0) AU/mL at Ab-titer-1, and 353.4 (178.4, 656.3) vs. 812.0 (498.3, 1342.7) AU/mL at Ab-titer-6 (p < 0.001, respectively)). Lower log Ab-titer-1 levels in the HD group were significantly associated with a lower log Ab-titer-6 (0.90 [0.83, 0.97], p < 0.001). The -β values in the HD patients and healthy controls were -4.7 ± 1.1 and -4.7 ± 1.4 (year-1), respectively. CONCLUSION SARS-CoV-2 spike protein antibody titers were significantly lower in HD patients than in healthy controls at 1 (peak) and 6 months after the second vaccination. Low peak antibody titers contributed to low 6-month antibody titers.
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Affiliation(s)
- Daisuke Kanai
- Department of Medical Science and Cardiorenal Medicine, Graduate School of Medicine, Yokohama City University, 3-9 Fukuura, Kanazawa-ku, Yokohama, Kanagawa, 236-0004, Japan
| | - Hiromichi Wakui
- Department of Medical Science and Cardiorenal Medicine, Graduate School of Medicine, Yokohama City University, 3-9 Fukuura, Kanazawa-ku, Yokohama, Kanagawa, 236-0004, Japan
| | - Tatsuya Haze
- Center for Nobel and Exploratory Clinical Trials (Y-NEXT), Yokohama City University, Yokohama, Kanagawa, Japan
| | - Kengo Azushima
- Department of Medical Science and Cardiorenal Medicine, Graduate School of Medicine, Yokohama City University, 3-9 Fukuura, Kanazawa-ku, Yokohama, Kanagawa, 236-0004, Japan
| | - Sho Kinguchi
- Department of Medical Science and Cardiorenal Medicine, Graduate School of Medicine, Yokohama City University, 3-9 Fukuura, Kanazawa-ku, Yokohama, Kanagawa, 236-0004, Japan
| | - Shunichiro Tsukamoto
- Department of Medical Science and Cardiorenal Medicine, Graduate School of Medicine, Yokohama City University, 3-9 Fukuura, Kanazawa-ku, Yokohama, Kanagawa, 236-0004, Japan
| | - Tomohiko Kanaoka
- Department of Medical Science and Cardiorenal Medicine, Graduate School of Medicine, Yokohama City University, 3-9 Fukuura, Kanazawa-ku, Yokohama, Kanagawa, 236-0004, Japan
| | - Shingo Urate
- Department of Medical Science and Cardiorenal Medicine, Graduate School of Medicine, Yokohama City University, 3-9 Fukuura, Kanazawa-ku, Yokohama, Kanagawa, 236-0004, Japan
| | - Yoshiyuki Toya
- Department of Medical Science and Cardiorenal Medicine, Graduate School of Medicine, Yokohama City University, 3-9 Fukuura, Kanazawa-ku, Yokohama, Kanagawa, 236-0004, Japan
| | - Nobuhito Hirawa
- Department of Nephrology and Hypertension, Yokohama City University Medical Center, Yokohama, Kanagawa, Japan
| | - Hideaki Kato
- Infection Prevention and Control Department, Yokohama City University Hospital, Yokohama, Kanagawa, Japan
| | | | - Kanako Hanaoka
- Kohsaikai Kamioooka Jinsei Clinic, Yokohama, Kanagawa, Japan
| | - Masaaki Hanaoka
- Kohsaikai Kamioooka Jinsei Clinic, Yokohama, Kanagawa, Japan
| | | | | | | | - Kouichi Tamura
- Department of Medical Science and Cardiorenal Medicine, Graduate School of Medicine, Yokohama City University, 3-9 Fukuura, Kanazawa-ku, Yokohama, Kanagawa, 236-0004, Japan.
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8
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Kreuzberger N, Hirsch C, Andreas M, Böhm L, Bröckelmann PJ, Di Cristanziano V, Golinski M, Hausinger RI, Mellinghoff S, Lange B, Lischetzki T, Kappler V, Mikolajewska A, Monsef I, Park YS, Piechotta V, Schmaderer C, Stegemann M, Vanshylla K, Weber F, Weibel S, Stephani C, Skoetz N. Immunity after COVID-19 vaccination in people with higher risk of compromised immune status: a scoping review. Cochrane Database Syst Rev 2022; 8:CD015021. [PMID: 35943061 PMCID: PMC9361430 DOI: 10.1002/14651858.cd015021] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/15/2023]
Abstract
BACKGROUND High efficacy in terms of protection from severe COVID-19 has been demonstrated for several SARS-CoV-2 vaccines. However, patients with compromised immune status develop a weaker and less stable immune response to vaccination. Strong immune response may not always translate into clinical benefit, therefore it is important to synthesise evidence on modified schemes and types of vaccination in these population subgroups for guiding health decisions. As the literature on COVID-19 vaccines continues to expand, we aimed to scope the literature on multiple subgroups to subsequently decide on the most relevant research questions to be answered by systematic reviews. OBJECTIVES To provide an overview of the availability of existing literature on immune response and long-term clinical outcomes after COVID-19 vaccination, and to map this evidence according to the examined populations, specific vaccines, immunity parameters, and their way of determining relevant long-term outcomes and the availability of mapping between immune reactivity and relevant outcomes. SEARCH METHODS We searched the Cochrane COVID-19 Study Register, the Web of Science Core Collection, and the World Health Organization COVID-19 Global literature on coronavirus disease on 6 December 2021. SELECTION CRITERIA: We included studies that published results on immunity outcomes after vaccination with BNT162b2, mRNA-1273, AZD1222, Ad26.COV2.S, Sputnik V or Sputnik Light, BBIBP-CorV, or CoronaVac on predefined vulnerable subgroups such as people with malignancies, transplant recipients, people undergoing renal replacement therapy, and people with immune disorders, as well as pregnant and breastfeeding women, and children. We included studies if they had at least 100 participants (not considering healthy control groups); we excluded case studies and case series. DATA COLLECTION AND ANALYSIS We extracted data independently and in duplicate onto an online data extraction form. Data were represented as tables and as online maps to show the frequency of studies for each item. We mapped the data according to study design, country of participant origin, patient comorbidity subgroup, intervention, outcome domains (clinical, safety, immunogenicity), and outcomes. MAIN RESULTS: Out of 25,452 identified records, 318 studies with a total of more than 5 million participants met our eligibility criteria and were included in the review. Participants were recruited mainly from high-income countries between January 2020 and 31 October 2021 (282/318); the majority of studies included adult participants (297/318). Haematological malignancies were the most commonly examined comorbidity group (N = 54), followed by solid tumours (N = 47), dialysis (N = 48), kidney transplant (N = 43), and rheumatic diseases (N = 28, 17, and 15 for mixed diseases, multiple sclerosis, and inflammatory bowel disease, respectively). Thirty-one studies included pregnant or breastfeeding women. The most commonly administered vaccine was BNT162b2 (N = 283), followed by mRNA-1273 (N = 153), AZD1222 (N = 66), Ad26.COV2.S (N = 42), BBIBP-CorV (N = 15), CoronaVac (N = 14), and Sputnik V (N = 5; no studies were identified for Sputnik Light). Most studies reported outcomes after regular vaccination scheme. The majority of studies focused on immunogenicity outcomes, especially seroconversion based on binding antibody measurements and immunoglobulin G (IgG) titres (N = 179 and 175, respectively). Adverse events and serious adverse events were reported in 126 and 54 studies, whilst SARS-CoV-2 infection irrespective of severity was reported in 80 studies. Mortality due to SARS-CoV-2 infection was reported in 36 studies. Please refer to our evidence gap maps for more detailed information. AUTHORS' CONCLUSIONS Up to 6 December 2021, the majority of studies examined data on mRNA vaccines administered as standard vaccination schemes (two doses approximately four to eight weeks apart) that report on immunogenicity parameters or adverse events. Clinical outcomes were less commonly reported, and if so, were often reported as a secondary outcome observed in seroconversion or immunoglobulin titre studies. As informed by this scoping review, two effectiveness reviews (on haematological malignancies and kidney transplant recipients) are currently being conducted.
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Affiliation(s)
- Nina Kreuzberger
- Cochrane Haematology, Department I of Internal Medicine, Center for Integrated Oncology Aachen Bonn Cologne Duesseldorf, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Caroline Hirsch
- Cochrane Haematology, Department I of Internal Medicine, Center for Integrated Oncology Aachen Bonn Cologne Duesseldorf, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Marike Andreas
- Cochrane Haematology, Department I of Internal Medicine, Center for Integrated Oncology Aachen Bonn Cologne Duesseldorf, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Lena Böhm
- Department of Anaesthesiology, Intensive Care, Emergency and Pain Medicine, University Hospital Wuerzburg, Wuerzburg, Germany
| | - Paul J Bröckelmann
- Department I of Internal Medicine, Center for Integrated Oncology Aachen Bonn Cologne Duesseldorf (CIO ABCD), Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
- Max-Planck Institute for the Biology of Ageing, Cologne, Germany
| | - Veronica Di Cristanziano
- Laboratory of Experimental Immunology, Institute of Virology, University Hospital of Cologne, Cologne, Germany
| | - Martin Golinski
- Department of Anesthesiology, University of Goettingen Medical Center, Goettingen, Germany
| | - Renate Ilona Hausinger
- Department of Nephrology, Klinikum rechts der Isar, TUM School of Medicine, Technical University of Munich, Munich, Germany
| | - Sibylle Mellinghoff
- Department I of Internal Medicine, Center for Integrated Oncology Aachen Bonn Cologne Duesseldorf (CIO ABCD), Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
- German Centre for Infection Research (DZIF), partner site Bonn-Cologne, Germany
| | - Berit Lange
- Department of Epidemiology, Helmholtz Centre for Infection Research, Brunswick, Germany
- Translational Unit BBD, German Center for Infection Research (DZIF), Brunswick, Germany
| | - Tina Lischetzki
- Cochrane Haematology, Department I of Internal Medicine, Center for Integrated Oncology Aachen Bonn Cologne Duesseldorf, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Verena Kappler
- Department of Nephrology, Klinikum rechts der Isar, TUM School of Medicine, Technical University of Munich, Munich, Germany
| | - Agata Mikolajewska
- Department of Infectious Diseases and Respiratory Medicine, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
- Centre for Biological Threats and Special Pathogens (ZBS), Strategy and Incident Response (ZBS7), Clinical Management and Infection Control (ZBS7.1), Robert Koch Institute, Berlin, Germany
| | - Ina Monsef
- Cochrane Haematology, Department I of Internal Medicine, Center for Integrated Oncology Aachen Bonn Cologne Duesseldorf, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Yun Soo Park
- Cochrane Haematology, Department I of Internal Medicine, Center for Integrated Oncology Aachen Bonn Cologne Duesseldorf, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Vanessa Piechotta
- Cochrane Haematology, Department I of Internal Medicine, Center for Integrated Oncology Aachen Bonn Cologne Duesseldorf, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Christoph Schmaderer
- Department of Nephrology, Klinikum rechts der Isar, TUM School of Medicine, Technical University of Munich, Munich, Germany
| | - Miriam Stegemann
- Department of Infectious Diseases and Respiratory Medicine, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
| | - Kanika Vanshylla
- Laboratory of Experimental Immunology, Institute of Virology, University Hospital of Cologne, Cologne, Germany
| | - Florencia Weber
- Department of Anaesthesiology, Intensive Care, Emergency and Pain Medicine, University Hospital Wuerzburg, Wuerzburg, Germany
| | - Stephanie Weibel
- Department of Anaesthesiology, Intensive Care, Emergency and Pain Medicine, University Hospital Wuerzburg, Wuerzburg, Germany
| | - Caspar Stephani
- Department of Anesthesiology, University of Goettingen Medical Center, Goettingen, Germany
| | - Nicole Skoetz
- Cochrane Haematology, Department I of Internal Medicine, Center for Integrated Oncology Aachen Bonn Cologne Duesseldorf, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
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9
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Suntronwong N, Assawakosri S, Kanokudom S, Yorsaeng R, Auphimai C, Thongmee T, Vichaiwattana P, Duangchinda T, Chantima W, Pakchotanon P, Chansaenroj J, Nilyanimit P, Srimuan D, Thatsanatorn T, Sudhinaraset N, Wanlapakorn N, Mongkolsapaya J, Poovorawan Y. Strong Correlations between the Binding Antibodies against Wild-Type and Neutralizing Antibodies against Omicron BA.1 and BA.2 Variants of SARS-CoV-2 in Individuals Following Booster (Third-Dose) Vaccination. Diagnostics (Basel) 2022; 12:1781. [PMID: 35892491 PMCID: PMC9394243 DOI: 10.3390/diagnostics12081781] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2022] [Revised: 07/20/2022] [Accepted: 07/21/2022] [Indexed: 11/16/2022] Open
Abstract
This study examined the neutralizing activity and receptor-binding domain (RBD) antibody levels against wild-type and omicron BA.1 and BA.2 variants in individuals who received three doses of COVID-19 vaccination. The relationship between the anti-RBD IgG against wild-type and live virus neutralizing antibody titers against omicron BA.1 and BA.2 variants was examined. In total, 310 sera samples from individuals after booster vaccination (third-dose) were tested for specific IgG wild-type SARS-CoV-2 RBD and the omicron BA.1 surrogate virus neutralization test (sVNT). The live virus neutralization assay against omicron BA.1 and BA.2 was performed using the foci-reduction neutralization test (FRNT50). The anti-RBD IgG strongly correlated with FRNT50 titers against BA.1 and BA.2. Non-linear regression showed that anti-RBD IgG at the cut-off value ≥148 BAU/mL and ≥138 BAU/mL were related to the threshold for FRNT50 titers ≥20 against BA.1 and BA.2, respectively. A moderate correlation was observed between the sVNT and FRNT50 titers. At FRNT50 titers ≥20, the predicted sVNT for BA.1 and BA.2 was ≥10.57% and ≥11.52%, respectively. The study identified anti-RBD IgG and sVNT levels that predict detectable neutralizing antibodies against omicron variants. Assessment and monitoring of protective immunity support vaccine policies and will help identify optimal timing for booster vaccination.
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Affiliation(s)
- Nungruthai Suntronwong
- Center of Excellence in Clinical Virology, Faculty of Medicine, Chulalongkorn University, Bangkok 10330, Thailand; (N.S.); (S.A.); (S.K.); (R.Y.); (C.A.); (T.T.); (P.V.); (J.C.); (P.N.); (D.S.); (T.T.); (N.S.); (N.W.)
| | - Suvichada Assawakosri
- Center of Excellence in Clinical Virology, Faculty of Medicine, Chulalongkorn University, Bangkok 10330, Thailand; (N.S.); (S.A.); (S.K.); (R.Y.); (C.A.); (T.T.); (P.V.); (J.C.); (P.N.); (D.S.); (T.T.); (N.S.); (N.W.)
| | - Sitthichai Kanokudom
- Center of Excellence in Clinical Virology, Faculty of Medicine, Chulalongkorn University, Bangkok 10330, Thailand; (N.S.); (S.A.); (S.K.); (R.Y.); (C.A.); (T.T.); (P.V.); (J.C.); (P.N.); (D.S.); (T.T.); (N.S.); (N.W.)
| | - Ritthideach Yorsaeng
- Center of Excellence in Clinical Virology, Faculty of Medicine, Chulalongkorn University, Bangkok 10330, Thailand; (N.S.); (S.A.); (S.K.); (R.Y.); (C.A.); (T.T.); (P.V.); (J.C.); (P.N.); (D.S.); (T.T.); (N.S.); (N.W.)
| | - Chompoonut Auphimai
- Center of Excellence in Clinical Virology, Faculty of Medicine, Chulalongkorn University, Bangkok 10330, Thailand; (N.S.); (S.A.); (S.K.); (R.Y.); (C.A.); (T.T.); (P.V.); (J.C.); (P.N.); (D.S.); (T.T.); (N.S.); (N.W.)
| | - Thanunrat Thongmee
- Center of Excellence in Clinical Virology, Faculty of Medicine, Chulalongkorn University, Bangkok 10330, Thailand; (N.S.); (S.A.); (S.K.); (R.Y.); (C.A.); (T.T.); (P.V.); (J.C.); (P.N.); (D.S.); (T.T.); (N.S.); (N.W.)
| | - Preeyaporn Vichaiwattana
- Center of Excellence in Clinical Virology, Faculty of Medicine, Chulalongkorn University, Bangkok 10330, Thailand; (N.S.); (S.A.); (S.K.); (R.Y.); (C.A.); (T.T.); (P.V.); (J.C.); (P.N.); (D.S.); (T.T.); (N.S.); (N.W.)
| | - Thaneeya Duangchinda
- Molecular Biology of Dengue and Flaviviruses Research Team, National Center for Genetic Engineering and Biotechnology (BIOTEC), National Science and Development Agency, NSTDA, Pathum Thani 12120, Thailand; (T.D.); (P.P.)
| | - Warangkana Chantima
- Division of Dengue Hemorrhagic Fever Research, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok 10700, Thailand;
- Siriraj Center of Research Excellence in Dengue and Emerging Pathogens, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok 10700, Thailand
| | - Pattarakul Pakchotanon
- Molecular Biology of Dengue and Flaviviruses Research Team, National Center for Genetic Engineering and Biotechnology (BIOTEC), National Science and Development Agency, NSTDA, Pathum Thani 12120, Thailand; (T.D.); (P.P.)
| | - Jira Chansaenroj
- Center of Excellence in Clinical Virology, Faculty of Medicine, Chulalongkorn University, Bangkok 10330, Thailand; (N.S.); (S.A.); (S.K.); (R.Y.); (C.A.); (T.T.); (P.V.); (J.C.); (P.N.); (D.S.); (T.T.); (N.S.); (N.W.)
| | - Pornjarim Nilyanimit
- Center of Excellence in Clinical Virology, Faculty of Medicine, Chulalongkorn University, Bangkok 10330, Thailand; (N.S.); (S.A.); (S.K.); (R.Y.); (C.A.); (T.T.); (P.V.); (J.C.); (P.N.); (D.S.); (T.T.); (N.S.); (N.W.)
| | - Donchida Srimuan
- Center of Excellence in Clinical Virology, Faculty of Medicine, Chulalongkorn University, Bangkok 10330, Thailand; (N.S.); (S.A.); (S.K.); (R.Y.); (C.A.); (T.T.); (P.V.); (J.C.); (P.N.); (D.S.); (T.T.); (N.S.); (N.W.)
| | - Thaksaporn Thatsanatorn
- Center of Excellence in Clinical Virology, Faculty of Medicine, Chulalongkorn University, Bangkok 10330, Thailand; (N.S.); (S.A.); (S.K.); (R.Y.); (C.A.); (T.T.); (P.V.); (J.C.); (P.N.); (D.S.); (T.T.); (N.S.); (N.W.)
| | - Natthinee Sudhinaraset
- Center of Excellence in Clinical Virology, Faculty of Medicine, Chulalongkorn University, Bangkok 10330, Thailand; (N.S.); (S.A.); (S.K.); (R.Y.); (C.A.); (T.T.); (P.V.); (J.C.); (P.N.); (D.S.); (T.T.); (N.S.); (N.W.)
| | - Nasamon Wanlapakorn
- Center of Excellence in Clinical Virology, Faculty of Medicine, Chulalongkorn University, Bangkok 10330, Thailand; (N.S.); (S.A.); (S.K.); (R.Y.); (C.A.); (T.T.); (P.V.); (J.C.); (P.N.); (D.S.); (T.T.); (N.S.); (N.W.)
| | - Juthathip Mongkolsapaya
- Wellcome Centre for Human Genetics, Nuffield Department of Medicine, University of Oxford, Oxford OX3 7BN, UK;
- Chinese Academy of Medical Science (CAMS) Oxford Institute (COI), University of Oxford, Oxford OX3 7BN, UK
| | - Yong Poovorawan
- Center of Excellence in Clinical Virology, Faculty of Medicine, Chulalongkorn University, Bangkok 10330, Thailand; (N.S.); (S.A.); (S.K.); (R.Y.); (C.A.); (T.T.); (P.V.); (J.C.); (P.N.); (D.S.); (T.T.); (N.S.); (N.W.)
- The Royal Society of Thailand (FRS(T)), Sanam Sueapa, Dusit, Bangkok 10330, Thailand
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10
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Möhlendick B, Čiučiulkaitė I, Elsner C, Anastasiou OE, Trilling M, Wagner B, Zwanziger D, Jöckel KH, Dittmer U, Siffert W. Individuals With Weaker Antibody Responses After Booster Immunization Are Prone to Omicron Breakthrough Infections. Front Immunol 2022; 13:907343. [PMID: 35812411 PMCID: PMC9260040 DOI: 10.3389/fimmu.2022.907343] [Citation(s) in RCA: 17] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2022] [Accepted: 05/27/2022] [Indexed: 11/13/2022] Open
Abstract
BackgroundDespite the high level of protection against severe COVID-19 provided by the currently available vaccines some breakthrough infections occur. Until now, there is no information whether a potential risk of a breakthrough infection can be inferred from the level of antibodies after booster vaccination.MethodsLevels of binding antibodies and neutralization capacity after the first, one and six month after the second, and one month after the third (booster) vaccination against COVID-19 were measured in serum samples from 1391 healthcare workers at the University Hospital Essen. Demographics, vaccination scheme, pre-infection antibody titers and neutralization capacity were compared between individuals with and without breakthrough infections.ResultsThe risk of developing an Omicron breakthrough infection was independent of vaccination scheme, sex, body mass index, smoking status or pre-existing conditions. In participants with low pre-infection anti-spike antibodies (≤ 2641.0 BAU/ml) and weaker neutralization capacity (≤ 65.9%) against Omicron one month after the booster vaccination the risk for developing an Omicron infection was 10-fold increased (P = 0.001; 95% confidence interval, 2.36 - 47.55).ConclusionRoutine testing of anti-SARS-CoV-2 IgG antibodies and surrogate virus neutralization can quantify vaccine-induced humoral immune response and may help to identify subjects who are at risk for a breakthrough infection. The establishment of thresholds for SARS-CoV-2 IgG antibody levels identifying “non”-, “low” and “high”-responders may be used as an indication for re-vaccination.
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Affiliation(s)
- Birte Möhlendick
- Institute of Pharmacogenetics, University Hospital Essen, University of Duisburg-Essen, Essen, Germany
- *Correspondence: Birte Möhlendick,
| | - Ieva Čiučiulkaitė
- Institute of Pharmacogenetics, University Hospital Essen, University of Duisburg-Essen, Essen, Germany
| | - Carina Elsner
- Institute for Virology, University Hospital Essen, University of Duisburg-Essen, Essen, Germany
| | - Olympia E. Anastasiou
- Institute for Virology, University Hospital Essen, University of Duisburg-Essen, Essen, Germany
| | - Mirko Trilling
- Institute for Virology, University Hospital Essen, University of Duisburg-Essen, Essen, Germany
| | - Bernd Wagner
- Department of Clinical Chemistry and Laboratory Medicine, University-Hospital Essen, University of Duisburg-Essen, Essen, Germany
| | - Denise Zwanziger
- Department of Endocrinology, Diabetes and Metabolism and Division of Laboratory Research, University-Hospital Essen, University of Duisburg-Essen, Essen, Germany
| | - Karl-Heinz Jöckel
- Institute of Medical Informatics, Biometry and Epidemiology, University of Duisburg-Essen, Essen, Germany
| | - Ulf Dittmer
- Institute for Virology, University Hospital Essen, University of Duisburg-Essen, Essen, Germany
| | - Winfried Siffert
- Institute of Pharmacogenetics, University Hospital Essen, University of Duisburg-Essen, Essen, Germany
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11
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The Effect of Waning on Antibody Levels and Memory B Cell Recall following SARS-CoV-2 Infection or Vaccination. Vaccines (Basel) 2022; 10:vaccines10050696. [PMID: 35632452 PMCID: PMC9143792 DOI: 10.3390/vaccines10050696] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2022] [Revised: 04/25/2022] [Accepted: 04/27/2022] [Indexed: 02/04/2023] Open
Abstract
In order to longitudinally track SARS-CoV-2 antibody levels after vaccination or infection, we assessed anti-RBD antibody levels in over 1000 people and found no significant decrease in antibody levels during the first 14 months after infection in unvaccinated participants, however, a significant waning of antibody levels was observed following vaccination. Participants who were pre-immune to SARS-CoV-2 prior to vaccination seroconverted to higher antibody levels, which were maintained at higher levels than in previously infected, unvaccinated participants. Older participants exhibited lower level of antibodies after vaccination, but a higher level after infection than younger people. The rate of antibody waning was not affected by pre-immunity or age. Participants who received a third dose of an mRNA vaccine not only increased their antibody levels ~14-fold, but also had ~3 times more antibodies compared to when they received their primary vaccine series. PBMC-derived memory B cells from 13 participants who lost all circulating antibodies were differentiated into antibody secreting cells (ASCs). There was a significant recall of memory B cell ASCs in the absence of serum antibodies in 5–8 of the 10 vaccinated participants, but not in any of the 3 infected participants, suggesting a strong connection between antibody levels and the effectiveness of memory B cell recall.
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12
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Forgacs D, Moraes VS, Hanley HB, Gattiker JL, Jefferson AM, Ross TM. The effect of waning on antibody levels and memory B cell recall following SARS-CoV-2 infection or vaccination. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2022:2022.03.16.484099. [PMID: 35313572 PMCID: PMC8936119 DOI: 10.1101/2022.03.16.484099] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
As of March 2022, there have been over 450 million reported SARS-CoV-2 cases worldwide, and more than 4 billion people have received their primary series of a COVID-19 vaccine. In order to longitudinally track SARS-CoV-2 antibody levels in people after vaccination or infection, a large-scale COVID-19 sero-surveillance progam entitled SPARTA (SeroPrevalence and Respiratory Tract Assessment) was established early in the pandemic. Anti-RBD antibody levels were tracked in more than 1,000 people. There was no significant decrease in antibody levels during the first 14 months after infection in unvaccinated participants, however, significant waning of antibody levels was observed following vaccination, regardless of previous infection status. Moreover, participants who were pre-immune to SARS-CoV-2 prior to vaccination seroconverted to significantly higher antibody levels, and antibodies were maintained at significantly higher levels than in previously infected, unvaccinated participants. This pattern was entirely due to differences in the magnitude of the initial seroconversion event, and the rate of antibody waning was not significantly different based on the pre-immune status. Participants who received a third (booster) dose of an mRNA vaccine not only increased their anti-RBD antibody levels ∼14-fold, but they also had ∼3 times more anti-RBD antibodies compared to the peak of their antibody levels after receiving their primary vaccine series. In order to ascertain whether the presence of serum antibodies is important for long-term seroprotection, PBMCs from 13 participants who lost all detectable circulating antibodies after vaccination or infection were differentiated into memory cells in vitro . There was a significant recall of memory B cells in the absence of serum antibodies in 70% of the vaccinated participants, but not in any of the infected participants. Therefore, there is a strong connection between anti-RBD antibody levels and the effectiveness of memory B cell recall.
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Affiliation(s)
- David Forgacs
- Center for Vaccines and Immunology, University of Georgia, Athens, GA, USA
| | - Vanessa S. Moraes
- Center for Vaccines and Immunology, University of Georgia, Athens, GA, USA
| | - Hannah B. Hanley
- Center for Vaccines and Immunology, University of Georgia, Athens, GA, USA
| | - Jasper L. Gattiker
- Center for Vaccines and Immunology, University of Georgia, Athens, GA, USA
| | | | - Ted M. Ross
- Center for Vaccines and Immunology, University of Georgia, Athens, GA, USA
- Department of Infectious Diseases, University of Georgia, Athens, GA, USA
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