Next Article in Journal
The Association of Vaccination for Common Adult Infectious Diseases and Uptake of COVID-19 Vaccines among 5,006,851 Veterans, 20 December 2020–31 October 2021
Next Article in Special Issue
Long-Term Dynamic Changes in Hybrid Immunity over Six Months after Inactivated and Adenoviral Vector Vaccination in Individuals with Previous SARS-CoV-2 Infection
Previous Article in Journal
Immunogenic and Protective Properties of Recombinant Hemagglutinin of Influenza A (H5N8) Virus
Previous Article in Special Issue
Host Genetic Variation Impacts SARS-CoV-2 Vaccination Response in the Diversity Outbred Mouse Population
 
 
Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
Journals
Vaccines
Volume 12
Issue 2
10.3390/vaccines12020144
vaccines-logo
Submit to this Journal Review for this Journal Propose a Special Issue
► Article Menu

Article Menu

share Share announcement Help format_quote Cite question_answer Discuss in SciProfiles thumb_up
...
Endorse textsms
...
Comment
first_page
settings
Order Article Reprints
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Immune Evasion of SARS-CoV-2 Omicron Subvariants XBB.1.5, XBB.1.16 and EG.5.1 in a Cohort of Older Adults after ChAdOx1-S Vaccination and BA.4/5 Bivalent Booster

by
Rafael Rahal Guaragna Machado
1,*,†,‡,
Érika Donizetti Candido
1,†,
Andressa Simoes Aguiar
2,3,
Vanessa Nascimento Chalup
3,
Patricia Romão Sanches
2,
Erick Gustavo Dorlass
1,4,
Deyvid Emanuel Amgarten
4,
João Renato Rebello Pinho
4,5,6,
Edison Luiz Durigon
1,7 and
Danielle Bruna Leal Oliveira
3,4,*
1
Department of Microbiology, Institute of Biomedical Sciences, University of São Paulo, São Paulo 05508-000, SP, Brazil
2
Dom Pedro II Geriatric and Convalescent Hospital, Irmandade da Santa Casa de Misericórdia de São Paulo, São Paulo 02265-002, SP, Brazil
3
Department of Parasitology, Institute of Biomedical Sciences, University of São Paulo, São Paulo 05508-000, SP, Brazil
4
Hospital Israelita Albert Einstein, São Paulo 05652-900, SP, Brazil
5
Laboratório de Medicina Laboratorial (LIM03), Department of Pathology, School of Medicine, University of São Paulo, São Paulo 01246-903, SP, Brazil
6
Laboratório de Gastroenterologia Clínica e Experimental (LIM07), Department of Gastroenterology, School of Medicine, University of São Paulo, São Paulo 01246-903, SP, Brazil
7
Scientific Platform Pasteur-USP, São Paulo 05508-020, SP, Brazil
*
Authors to whom correspondence should be addressed.
†
These authors contributed equally to this work.
‡
The current affiliation of R.R.G.M. is G5 Evolutionary Genomics of RNA Viruses, Department of Virology, Institut Pasteur, 75015 Paris, France.
Vaccines 2024, 12(2), 144; https://doi.org/10.3390/vaccines12020144
Submission received: 12 November 2023 / Revised: 15 December 2023 / Accepted: 3 January 2024 / Published: 30 January 2024
(This article belongs to the Special Issue COVID-19 Vaccines and Immune Response)
Browse Figures
Review Reports Versions Notes

Abstract

:
The recently emerged SARS-CoV-2 Omicron sublineages, including the BA.2-derived XBB.1.5 (Kraken), XBB.1.16 (Arcturus), and EG.5.1 (Eris), have accumulated several spike mutations that may increase immune escape, affecting vaccine effectiveness. Older adults are an understudied group at significantly increased risk of severe COVID-19. Here we report the neutralizing activities of 177 sera samples from 59 older adults, aged 62–97 years, 1 and 4 months after vaccination with a 4th dose of ChAdOx1-S (Oxford/AstraZeneca) and 3 months after a 5th dose of Comirnaty Bivalent Original/Omicron BA.4/BA.5 vaccine (Pfizer-BioNTech). The ChAdOx1-S vaccination-induced antibodies neutralized efficiently the ancestral D614G and BA.4/5 variants, but to a much lesser extent the XBB.1.5, XBB.1.16, and EG.5.1 variants. The results showed similar neutralization titers between XBB.1.16 and EG.5.1 and were lower compared to XBB.1.5. Sera from the same individuals boosted with the bivalent mRNA vaccine contained higher neutralizing antibody titers, providing a better cross-protection against Omicron XBB.1.5, XBB.1.16 and EG.5.1 variants. Previous history of infection during the epidemiological waves of BA.1/BA.2 and BA.4/BA.5, poorly enhanced neutralization activity of serum samples against XBBs and EG.5.1 variants. Our data highlight the continued immune evasion of recent Omicron subvariants and support the booster administration of BA.4/5 bivalent vaccine, as a continuous strategy of updating future vaccine booster doses to match newly emerged SARS-CoV-2 variants.

1. Introduction

The continued evolution and emergence of new variants of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) have been responsible for successive global waves of infection. Omicron has become the dominant variant since its first report in late November 2021 in South Africa [1]. Due to its high transmissibility [2] and immune evasion [3], Omicron successfully replaced other variants, such as Delta, with many Omicron sublineages emerging over time [4]. Recently, three emergent Omicron subvariants, XBB.1.5 (Kraken), XBB.1.16 (Arcturus) and EG.5.1 (Eris), have expanded rapidly worldwide [5] (Figure 1A), and have been recognized as variants of interest (VOI) by WHO. In late February 2023, XBB.1.5 sublineages harboring the F486P substitution in the spike protein predominated worldwide [6] (Figure 1A). Then, XBB.1.16, emerged independently of XBB.1.5 (Figure 1B), also harboring the F486P substitution and two other new substitutions in the spike protein: E180V in the N-terminal domain (NTD) and T478R in the receptor-binding domain (RBD) [7]. EG.5.1 evolved from Omicron XBB.1.9 (another BA.2 descendant) and harbors two additional substitutions, the Q52H in the NTD of the spike and the F456L in the RBD of the spike relative to XBB.1.16 (Figure 1B,C) [8].
Older adults (aged > 60 years) are a high-risk group vulnerable to severe disease and death after SARS-CoV-2 infection [9], thus it has been demonstrated that there is a less robust immune response after COVID-19 vaccination in this priority group [10,11]. In that way, since SARS-CoV-2 spike mutations deeply contribute to immune escape and transmissibility, a major goal of vaccine design is the evaluation of an optimal protection for the elderly. Furthermore, the kinetics of neutralizing activity in sera elicited by vaccination and the capacity of boosters to enhance cross-protection against new SARS-CoV-2 variants in elderly cohorts are of great interest. With the emergence and rapid dispersion of Omicron BA.4/5 worldwide [1], it was shown that individuals vaccinated with four doses of prototype mRNA vaccine did not produce a strong immune response against these Omicron sublineages, highlighting the need for bivalent vaccines development targeting the prototype and the BA.4/5 spike protein [12,13]. Because the recently emerged Omicron subvariants have accumulated additional spike mutations, it is important to access the vaccine-elicited neutralization against these new sublineages. Herein we investigated the escape of XBB.1.5, XBB.1.16, and EG.5.1 Omicron sublineages from neutralizing antibodies in serum samples collected from a cohort of 59 volunteers aged between 62 and 97 years (median 73 years) after 1 and 4 months of 4th dose vaccination with ChAdOx1-S vaccine and after 3 months post- 5th dose with Comirnaty Bivalent Original/Omicron BA.4/BA.5 vaccine.
Vaccines 12 00144 g001
Figure 1. Proportion, evolution, and spike differences between BA.4/5, XBB (XBB.1.5, XBB.1.16, XBB.1.9) and EG.5.1 (Eris) SARS-CoV-2 variants. (A) Relative frequency (%) of BA.4/5, XBB (XBB.1.5, XBB.1.16, XBB.1.9) and EG.5.1 (Eris) globally (right), in the Americas (center), and Brazil (left) from October 2022 to October 2023. Data were collected in GISAID [5]. (B) Spike convergent evolution chart with BA.2, BA.4/5, XBB (XBB.1.5, XBB.1.16, XBB.1.9), and EG.5.1 (Eris). Arrows denote direct relationships between variants with the corresponding spike mutations written along them. (C) Comparison of BA.4/5, XBB.1.5, XBB.1.16, and EG.5.1 Omicron sublineages’ spike region. Amino acid mutations and deletions (Δ) are indicated in reference to the Wuhan-1 (614D) strain. Only distinct mutations between these variants were represented. NTD, N-terminal domain of the spike glycoprotein; RBD, receptor binding domain of the spike glycoprotein. Mutations were determined by the Outbreak.info genomic reports website [14].
Figure 1. Proportion, evolution, and spike differences between BA.4/5, XBB (XBB.1.5, XBB.1.16, XBB.1.9) and EG.5.1 (Eris) SARS-CoV-2 variants. (A) Relative frequency (%) of BA.4/5, XBB (XBB.1.5, XBB.1.16, XBB.1.9) and EG.5.1 (Eris) globally (right), in the Americas (center), and Brazil (left) from October 2022 to October 2023. Data were collected in GISAID [5]. (B) Spike convergent evolution chart with BA.2, BA.4/5, XBB (XBB.1.5, XBB.1.16, XBB.1.9), and EG.5.1 (Eris). Arrows denote direct relationships between variants with the corresponding spike mutations written along them. (C) Comparison of BA.4/5, XBB.1.5, XBB.1.16, and EG.5.1 Omicron sublineages’ spike region. Amino acid mutations and deletions (Δ) are indicated in reference to the Wuhan-1 (614D) strain. Only distinct mutations between these variants were represented. NTD, N-terminal domain of the spike glycoprotein; RBD, receptor binding domain of the spike glycoprotein. Mutations were determined by the Outbreak.info genomic reports website [14].
Vaccines 12 00144 g001

2. Materials and Methods

2.1. Ethical Statement

We conducted a prospective cohort study of older adults (age > 60 years) receiving the pandemic COVID-19 vaccine between November 2022 and June 2023 at Dom Pedro II Geriatric and Convalescent Hospital, Irmandade da Santa Casa de Misericórdia de São Paulo, in São Paulo, Brazil. All subjects or a legally responsible person provided written informed consent before inclusion in the study, which was approved by the institutional ethics committee from the University of São Paulo and Dom Pedro II Geriatric and Convalescent Hospital (CEPSH-ICB/USP; CAAE: 66951221.2.0000.5467 and 69479523.2.0000.5467). The inclusion criteria were willingness to attend scheduled blood sampling visits and being vaccinated with all COVID-19 doses. The exclusion criteria were a history of anaphylaxis or hypersensitivity to vaccines and no vaccination record. The study was conducted in compliance with all International Council for Harmonisation Good Clinical Practice guidelines and the ethical principles of the Declaration of Helsinki. All SARS-CoV-2 experiments were performed in a Biosafety Level 3 (BSL-3) laboratory in the Institute of Biomedical Sciences (ICB) at the University of São Paulo (USP), São Paulo, Brazil. No diagnosis or treatment was involved.

2.2. Study Cohort and Sample Collection

Individuals included in this study have received five doses of the Coronavirus Disease 2019 (COVID-19) vaccine, following the regimen of two initial doses of ChAdOx1-S (Oxford/AstraZeneca) 4 weeks apart, followed by a booster with BNT162b2 (Pfizer-BioNTech) after 7 months post-primary vaccination. A fourth dose (second booster) of ChAdOx1-S was administered 11 months after the 3rd dose. Finally, five months after the 3rd dose, the volunteers were boosted with the 5th dose (third booster) of Comirnaty Bivalent Original/Omicron BA.4/BA.5 vaccine (Pfizer (New York, NY, USA)-BioNTech (Mainz, Germany)). Full cohort and demographic information are provided in Supplemental Tables S1 and S2. Blood samples were taken at three timepoints: 1 (median 36 days) and 4 months (median 126 days) post-4th dose with ChAdOx1-S vaccine, and after 3 months (median 91 days) post-5th dose with Comirnaty Bivalent Original/Omicron BA.4/BA.5 vaccine (Table S2). The serum was obtained by centrifuging the whole blood for 10 min at 4 °C and 2000 r.p.m. and stored at −20 °C until further use.

2.3. Cell and Viruses

Vero CCL-81 cells were purchased from the American Type Culture Collection (ATCC), and were maintained in DMEM (#D0069, Vitrocell, Nova Campinas, SP, Brazil) supplemented with 10% FBS (#S0011, Vitrocell) and 1% penicillin-streptomycin (#15140122, Thermo Fisher Scientific, Waltham, MA, USA) at 37 °C with 5% CO2. Vero CCL-81 cell line was tested negative for Mycoplasma before use, by conventional PCR, as previously described by Wong-Lee and Lovett, 1993 [15]. The ancestral B.1.1.28 (D614G) [16], B.1.1.529 (Omicron) sublineages BA.4, XBB.1.5, XBB.1.16, and EG.5.1 were isolated from NP samples and NGS sequenced. See the Data Availability Statement for the complete sequence information, including GISAID’s access codes. All viruses were passaged only once in Vero CCL-81 cells, collected 3 d.p.i., aliquoted and stored at −80 °C for subsequent experiments.

2.4. Cytopathic Effect-Based Virus Neutralization Test (CPE-VNT)

The CPE-VNT was performed following the protocol described by Wendel et al., 2020 [17]. Briefly, 5 × 104 cells/mL of Vero cells (ATCC CCL-81) were seeded 24 h before the infection in a 96-well plate. Serum samples were initially inactivated for 30 min at 56 °C. We used 8 dilutions (two-fold) of each serum (1:20 to 1:2560). Subsequently, the serum was mixed vol/vol with 103 TCID50/mL of each SARS-CoV-2 variant and pre-incubated at 37 °C for 1 h to allow virus neutralization. Then, the serum plus virus mixture was transferred onto the confluent cell monolayer and incubated for 3 days at 37 °C, under 5% CO2. After 72 h, the plates were analyzed directly with the automated microscopy EVOS™ M5000 Imaging System (#AMF5000, InvitrogenTM, Waltham, MA, USA). In each assay, a convalescent serum sample was used as a positive control [18] and as a negative pre-pandemic serum sample (collected in 2017) [19]. The sample dilution resulting in 50% of virus neutralization (NT50) was calculated using the method of Spearman and Karber [20,21]. Each sample was carried out in triplicate for the NT50 calculation. Samples with no neutralization and observed CPE from the first dilution (1:20) were considered to have VNT100 titers equal to 10, which is equivalent to half of the limit of detection (LOD).

2.5. Statistical Analysis and Reproducibility

Categorical variables were summarized as number (n) and percentage (%) and continuous variables as the geometric mean with 95% confidence intervals (95%CI) or median with interquartile ranges (IQRs). For plot purposes, the geometric mean titer (GMT) calculations, statistical analysis, and sera with undetectable (NT50 < 18) nAbs titers were assigned an NT50 of 14 (representing triplicates with a VNT100 titer equal to 10). Comparison between neutralization titers was performed using a Wilcoxon matched-pairs signed-rank test or a nonparametric Mann–Whitney test, when applicable, using GraphPad Prism version 10.0.3 for macOS (GraphPad Software, Boston, MA, USA, www.graphpad.com). Absolute p values are provided in Tables S4 and S5. p < 0.05 was considered statistically significant. For the infection history analyses, two epidemiological Omicron wave periods in the São Paulo state, Brazil, were defined as follows: 1st Omicron wave by BA.1/BA.2 (from January 2022 to May 2022) and 2nd Omicron wave by BA.4/BA.5 subvariants (from June 2022 to January 2023), as previously described by Hojo-Souza et al., 2023 [22] and based on the Fiocruz Genomics Network (https://www.genomahcov.fiocruz.br/dashboard-en/, accessed on 20 October 2023). Images were assembled using Adobe Illustrator, version 28.0. No statistical method was used to predetermine the sample size since the samples were collected based on the availability of volunteers in the Dom Pedro II Geriatric and Convalescent Hospital. No data were excluded from the analyses.

3. Results

3.1. Study Population Characteristics

A total of 59 older adults were enrolled in this study. The patients had a median age of 73 years (IQR 67–81), of which 42.4% (n = 25) were white and 26 (44.1%) were female (Table 1 and Supplemental Table S1). Of all the participants, 62.7% (n = 37) reported being RT-qPCR positive for SARS-CoV-2. The days between the most recent positive SARS-CoV-2 PCR test and the 1st blood collection varied from 121 to 597 days, with a median of 281 days (95% confidence interval [CI] 142–290; Supplemental Table S1). In general, the patients had few comorbidities, with high rates of dementia and dysmobility syndrome (Table 1).

3.2. Neutralization against Omicron Sublineages after 4th Dose with Oxford/AstraZeneca (ChAdOx1-S) Vaccine

Sera collected 1 month (median 36 days) after the 4th dose of the Oxford/AstraZeneca (ChAdOx1-S) vaccine (Figure 2A) neutralized D614G (BRA-HIAE02/2020), BA.4/5, XBB.1.5, XBB.1.16, and EG.5.1 SARS-CoV-2 variants with geometric mean titers (GMTs) of 1488, 803, 122, 56, and 81, respectively (Figure 2B and Table S3). The neutralizing GMTs against BA.4/5, XBB.1.5, XBB.1.16, and EG.5.1 viruses were 1.8-fold (p = 0.6089), 12.2-fold (p < 0.0001), 26.6-fold (p < 0.0001) and 18.4-fold (p < 0.0001) lower than the GMT against the parental D614G virus, respectively (Figure 1B). XBB.1.16 showed a 2.3-fold reduction (p = 0.0006) when compared with XBB.1.5, and EG.5.1 showed no significant reduction (p = 0.157) when compared with XBB.1.16. Individuals boosted developed a measurable nAb response against D614G, BA.4/5, XBB.1.5, XBB.1.16, and EG.5.1 SARS-CoV-2 variants at rates of 100% (n = 59/59), 100% (n = 59/59), 92% (n = 54/59), 83% (n = 44/59) and 92% (n = 54/59), respectively (Figure 2B and Tables S3 and S4).
Sera collected 4 months (median 126 days) after the 4th dose of the Oxford/AstraZeneca (ChAdOx1-S) vaccine neutralized D614G, BA.4/5, XBB.1.5, XBB.1.16, and EG.5.1 SARS-CoV-2 variants with geometric mean titers (GMTs) of 1191, 430, 72, 31, and 41, respectively (Figure 2C and Tables S2 and S3). The neutralizing GMTs against BA.4/5, XBB.1.5, XBB.1.16, and EG.5.1 viruses were 2.8-fold (p = 0.0187), 16.5-fold (p < 0.0001), 38.4-fold (p < 0.0001) and 29.0-fold (p < 0.0001) lower than the GMT against the parental D614G virus, respectively (Figure 2E). XBB.1.16 showed a 2.2-fold reduction (p = 0.0016) when compared with XBB.1.5. A lower proportion of seroconversion for XBB.1.5, XBB.1.16, and EG.5.1 was observed at this time point post-vaccination at rates of 86% (n = 51/59), 70% (n = 41/59), and 80% (n = 47/59), respectively (Figure 2C and Table S3). No difference was observed in the seroconversion against the D614G and BA.4/5 variants. These results indicate that (1) XBB-lineage subvariants, including XBB.1.5, XBB.1.16, and EG.5.1, demonstrated marked reductions in antibody neutralization relative to D614G and BA.4/5 (Figure 2A,B). (2) EG.5.1 exhibited modestly decreased neutralization relative to XBB.1.5 and XBB.1.16 (p > 0.05), and 4 mo. post 4th dose with Oxford/AstraZeneca (ChAdOx1-S), the neutralizing activity against the newly emerged Omicron sublineages was reduced, and (3) the rank of neutralization evasion was in the order of BA.4/5 < XBB.1.5 < XBB.1.16 = EG.5.1.

3.3. Neutralization against Omicron Sublineages after the 5th Dose with BA.4/5 Bivalent Vaccine (Pfizer-BioNTech)

BA.4/5 bivalent sera, collected at 3 months (median 91 days) after the boost, neutralized D614G, BA.4/5, XBB.1.5, XBB.1.16, and EG.5.1 SARS-CoV-2 variants with GMTs of 1958, 1454, 328, 203, and 208, respectively (Figure 2D and Table S3). The neutralizing GMTs against BA.4/5, XBB.1.5, XBB.1.16, and EG.5.1 viruses were 1.3-fold (p = 0.0187), 6.0-fold (p < 0.0001), 9.6-fold (p < 0.0001), and 9.4-fold (p < 0.0001) lower than the GMT against the parental D614G virus, respectively (Figure 2D). Notably, neutralizing antibody titers against EG.5.1 were markedly less than those against XBB.1.5, with a 1.6-fold reduction (p = 0.0328), but not against XBB.1.16 (p > 0.99). The data indicate that the BA.4/5 bivalent booster elicits high neutralizing titers against D614G and BA.4/5 variants and confers moderate cross-protection against XBB.1.5, XBB.1.16, and EG.5.1, measured 3 months after the boost.
Our data also showed a slight decrease in the measured neutralizing antibodies from 1 to 4 months post-4th dose with ChAdOx1-S, but were not statistically significant (p > 0.05) unless against BA.4/5 (p = 0.0185; Figure 2E). Remarkably, a significant increase in the nAbs titers was observed at 3 months post-bivalent booster when compared to titers after 4 months of ChAdOx1-S vaccination against D614G (1.6-fold; p = 0.0358), BA.4/5 (3.3-fold; p < 0.0001), XBB.1.5 (4.2-fold; p < 0.0001), XBB.1.16 (5.9-fold; p < 0.0001), and EG.5.1 (5.4-fold; p < 0.0001) viruses (Figure 2E). A statistically significant difference against XBB.1.5 (2.7-fold; p < 0.0001), XBB.1.16 (3.6-fold; p < 0.0001), and EG.5.1 (2.7-fold; p < 0.0001) viruses (Figure 2E) was also observed when comparing the titers 1 month post-vaccination with ChAdOx1-S and 3 months post-bivalent booster. These results suggest that vaccination with the Comirnaty Bivalent Original/Omicron BA.4/BA.5 vaccine produced a more robust neutralizing response against the selected variants in older adults.

3.4. Influence of History of Infection by SARS-CoV-2 in nAbs Titers

We further investigated if older adults with a history of SARS-CoV-2 infection had higher neutralizing titers against the studied variants at the different time points of sample collection. We observed slightly higher titers in individuals with infection history but these were not statistically significant (p > 0.05) unless against BA.4/5 (GMTs:279 vs. 556, p = 0.0367) and EG.5.1 (GMTs: 31 vs. 49, p = 0.0346) at 4 months post-vaccination with the ChAdOx1-S vaccine (Figure 3A,B and Figure S1). When analyzing the samples with infection history and separating them into two groups, those with a previous infection before the epidemiological wave of BA.4/BA.5 (until June 2022, mainly during the BA.1/BA.2 wave) and those during the BA.4/5 wave (from June 2022 to January 2023), it was noticed that the difference against BA.4/5 (GMTs: 279 vs. 823, p = 0.0109) and EG.5.1 (GMTs: 31 vs. 55, p = 0.0328) was related to samples with infection history during the BA.4/5 wave (Figure 3A,B and Table S5). These results suggest that BA.1/BA.2 or BA.4/BA.5 breakthrough infection did not substantially increase the magnitude of nAbs’ levels against the tested Omicron sublineages XBB.1.5, XBB.1.16, and EG.5.1.
No difference was observed at 3 months post vaccination with the bivalent vaccine between patients without infection history, with a previous infection before or during the epidemiological wave of BA.4/BA.5, respectively, against D614G (GMTs: 2305 vs. 1789 vs. 1762, p > 0.05), BA.4/5 (GMTs: 1498 vs. 1470 vs. 1379, p > 0.05), XBB.1.5 (GMTs: 279 vs. 447 vs. 281, p > 0.05), XBB.1.16 (GMTs: 189 vs. 246 vs. 177, p > 0.05), and EG.5.1 (GMTs: 178 vs. 245 vs. 209, p > 0.05), as shown in Figure S1.

4. Discussion

The immune response in older adults after the COVID-19 vaccination remains understudied. In this study, we measured the levels of neutralizing antibodies (nAbs) against D614G, BA.4/5, XBB.1.5, XBB.1.16, and EG.5.1 viruses in a Brazilian cohort of older adults after vaccination with a 4th dose of the ChAdOx1-S vaccine and a 5th dose of the bivalent mRNA vaccine. We found higher levels of nAbs after the 5th dose and a substantial immune escape in sera from these individuals against newly emerged SARS-CoV-2 variants.
Vaccination with ChAdOx1 has been demonstrated to protect older adults [23,24]. However, with the rapidly evolving of SARS-CoV-2, and mainly several Omicron sublineages (i.e., XBB) that exhibit enhanced fusogenicity and substantial immune evasion in the elderly population [25], the administration of a booster dose with mRNA bivalent vaccines targeting the ancestral and the BA.4/5 spike protein was recommended to generate immunity. Our data on Omicron neutralization following a 4th dose of ChAdOx1-S vaccine mirrors others who showed decreases in neutralization of >35-fold against XBB.1.5, XBB.1.16, and EG.5.1 [26,27]. This difference is reduced by less than 10-fold against the same variants after 3 months of a booster shot with Comirnaty Bivalent Original/Omicron BA.4/BA.5 vaccine, as observed by others [27,28]. In that way, it is clear from our data that boosting with a bivalent mRNA vaccine generates a much higher overall titer of neutralizing antibodies, enhancing cross-protection against high immune evasive variants such as XBB.1.5, XBB.1.16, and EG.5.1 [29].
Recent studies have demonstrated that vaccinated individuals with SARS-CoV-2 infection history develop a stronger humoral immune response against Omicron subvariants [12,30]. However, the impact of the infection subvariant and the time between infection and sample collection might influence these observations. Here we showed that older adults with reported infection mainly during the first Omicron wave (BA.1/BA.2, from January 2022 to May 2022, São Paulo, Brazil) [22,31] did not present higher levels of nAbs against D614G, BA.4/5, XBB.1.5, XBB.1.16, or EG.5.1. Furthermore, individuals infected during or after the second Omicron wave (BA.4/5, from June 2022, São Paulo, Brazil) showed discretely higher titers against only BA.4/5 and EG.5.1 (p < 0.05). In the beginning of the Omicron era, a low cross-neutralization against Omicron from previously non-Omicron infection was proposed [32], reinforcing the importance of vaccination to mitigate Omicron dispersion. In that way, our data is similar to Yang et al., 2023, who observed low levels of neutralizing antibodies against XBB.1.5 after BA.5 infection [33]. Also, it has been shown that vaccinated individuals with BA.1, BA.2, BA.5, or BF.7 breakthrough infections had a low humoral response against XBB lineages [34,35].
Some limitations of this study warrant consideration. First, we have not examined either the binding antibody titers against spike and/or NP or the cellular immune response. Neutralizing antibodies together with the T-cell immune response protect patients from severe disease and death [36,37] and can provide different insights when analyzed together. Second, we were not able to investigate possible differences in other vaccine regimens since all the participants took the same vaccine doses. Third, while this study, to our knowledge, represents one of the largest cohort studies to date on the antibody response in older adults after COVID-19 vaccination, it still represents a relatively small sample size. Fourth, we were not able to collect blood samples just before the boost with the mRNA bivalent dose; in that way, we were not able to determine the nAbs baseline titers. Finally, we did not perform the sequencing of samples from the participants with infection history, because of sample unavailability.

5. Conclusions

In conclusion, our neutralization data support that newly emerged Omicron sublineages are still enhancing their immune escape from vaccine-elicited neutralization. Among tested Omicron sublineages, XBB.1.16 and EG.5.1 show the greatest resistance to vaccine-induced neutralization, implying a possible reason why these new sublineages replaced others in circulation and became dominant in the past. Furthermore, our findings suggest a vaccination update strategy that future boosters ought to reflect new circulating SARS-CoV-2 VOIs, in line with the recent real-world effectiveness of the BA.5 bivalent booster [38], and highlights the importance of the currently licensed XBB.1.5 vaccine administration as soon as available, independent of history of infection with SARS-CoV-2.

Supplementary Materials

The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/vaccines12020144/s1. Figure S1: Neutralization against Omicron sublineages BA.4/5, XBB.1.5, XBB.1.16, and EG.5.1 in individuals with or without history of infection by SARS-CoV-2. (A,B) NT50 values of 22 and 37 human sera without and with infection history, respectively, against Omicron BA.4/5, XBB.1.5, XBB.1.16 and EG.5.1, collected after (A) 1 month (median 36 days) post 4th dose with parental ChAdOx1-S vaccine, and (B) 3 months (median 92 days) post 5th dose with bivalent mRNA vaccine. Geometric mean titers (GMTs) are noted above the respective groups. Colors designate infection history, data points represent individual subjects, bars represent GMT with 95% confidence intervals (CI) and dotted lines represent the lower limit of detection of NT50 (LOD = 18). Groups were compared by the non-parametric Mann–Whitney test (ns = not significant, * = p < 0.05). Panels (A,B) were generated using GraphPad Prism v10.0 software; Table S1: Summary of patient’s information (n = 59). Identification (ID), race, day of birth (DOB), age (years), sex (F, female or M, male), comorbidities, previously SARS-CoV-2 reported infection (RT-qPCR positivity, date and Ct value), epidemiological Omicron wave based on date of infection (see materials and methods for details) and days post infection (DPI) and 1st blood collection on 10 November 2022. Ct, cycle threshold. N/A, not applicable; Table S2: Vaccination records from all the participants of the study (n = 49). Identification (ID), the full vaccination record against COVID-19, including which vaccine, the date of administration and the vaccine batch number; Table S3: Geometric mean titers (GMTs), 95% CI and of neutralizing titers and percentage (%) of seroconversion against SARS-CoV-2 ancestral strain (D614G) and Omicron sublineages BA.4/5, XBB.1.5, XBB.1.16, and EG.5.1 at 1–4 months post 4th dose with ChAdOx1-S (Oxford/AstraZeneca) and 3 months post 5th dose with Comirnaty Bivalent Original/Omicron BA.4/BA.5 (Pfizer-BioNTech). Individual NT50 values are the geometric mean (GMT) of triplicate CPE-VNT results (one independent experiment). Titers below the LOD (<20) were represented by half the LOD, 10 for plot purpose and statistical analysis. ID, identification; dpv, days post-vaccination; NT50, 50% neutralization antibody titer; 95% CI, 95% confidence interval; Table S4: p values calculated from Wilcoxon matched-pairs signed-rank test for group comparison of NT50 geometric mean titers (GMTs) at each time-point from Figure 2B–E. Values > 0.05 (not statistically significant) are highlighted in red; Table S5: Geometric mean titers (GMTs) with 95% CI of neutralizing titers against SARS-CoV-2 ancestral strain (D614G) and Omicron sublineages BA.4/5, XBB.1.5, XBB.1.16, and EG.5.1 at 1 and 4 months post 4th dose with ChAdOx1-S (Oxford/AstraZeneca) and 3 months post 5th dose with Comirnaty Bivalent Original/Omicron BA.4/BA.5 (Pfizer-BioNTech). Individual NT50 values is the geometric mean (GMT) of triplicate CPE-VNT results (one independent experiment). Titers below the LOD (<20) were represented by half the LOD, 10 for plot purpose and statistical analysis. NT50, 50% neutralization antibody titer; 95% CI, 95% confidence interval. p values calculated from the nonparametric Mann–Whitney test (unpaired) for group comparison of individuals without and with infection history by SARS-CoV-2 of NT50 geometric mean titers (GMTs) at each time-point from Figure 3 and Supplemental Figure S1. p values < 0.05 (statistically significant) are highlighted in red.

Author Contributions

Conceptualization, R.R.G.M., A.S.A., J.R.R.P., E.L.D. and D.B.L.O.; methodology, R.R.G.M. and É.D.C.; validation, R.R.G.M. and É.D.C.; formal analysis, R.R.G.M.; investigation, R.R.G.M., É.D.C., V.N.C., P.R.S., E.G.D. and D.E.A.; data curation, R.R.G.M., A.S.A. and V.N.C.; writing—original draft preparation, R.R.G.M.; writing—review and editing, É.D.C., V.N.C., P.R.S., A.S.A., E.G.D., D.E.A., J.R.R.P., E.L.D. and D.B.L.O.; visualization, R.R.G.M.; supervision, A.S.A., J.R.R.P., E.L.D. and D.B.L.O.; funding acquisition, J.R.R.P. and E.L.D. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by Fundação de Amparo a Pesquisa do Estado de São Paulo (FAPESP) [grant numbers 2017/24769-2 and 2020/06409-1]. This research was developed in the framework of Rede Corona-Ômica BR MCTI/FINEP affiliated to RedeVírus/MCTI funded by Financiadora de Estudos e Projetos (FINEP) [grant numbers 01.20.0029.000462/20 and 01.22.0074.00] and by Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) [grant number 404096/2020-4]. The sequencing of SARS-CoV-2 variants described in this study were supported by grants from Chamada MCTIC/CNPq/FNDCT/MS/SCTIE/Decit 07/2020, Brazil [grant number 402669/2020-7] and Instituto Todos pela Saúde (ITpS) via Termo de Cooperação Parceiros—ITpS and Hospital Albert Einstein [grant number C2022-0751]. RRGM and ECD received fellowships from Fundação de Desenvolvimento da Pesquisa (FUNDEP), project number 29794.

Institutional Review Board Statement

The study was conducted in accordance with the Declaration of Helsinki and approved by the Institutional Ethics Committee of Institute of Biomedical Sciences from University of São Paulo and Dom Pedro II Geriatric and Convalescent Hospital (CEPSH-ICB/USP; CAAE: 66951221.2.0000.5467 and 69479523.2.0000.5467).

Informed Consent Statement

Informed consent was obtained from all subjects involved in the study.

Data Availability Statement

The raw data that support the findings of this study are shown in Supplemental Tables S1–S4. The sequence of SARS-CoV-2 variants can be accessed through GISAID (https://gisaid.org) with the following codes: ancestral B.1.1.28—D614G (hCoV-19/Brazil/SP-HIAE-ID02/2020, EPI_ISL_861868), B.1.1.529 (Omicron) sublineages BA.4 (hCoV-19/Brazil/SP-LVCM-061/2022, EPI_ISL_17959808), XBB.1.5 (hCoV-19/Brazil/SP-LVCM-045/2023, EPI_ISL_17959794), XBB.1.16 (hCoV-19/Brazil/SP-HIAE-ID2720/2023, EPI_ISL_17505614) and EG.5.1 (hCoV-19/Brazil/SP-HIAE-ID2826/2023, EPI_ISL_18128356). Any other information is available upon request.

Acknowledgments

We thank all the participants of the study. We thank all personnel of the Dom Pedro II Geriatric and Convalescent Hospital who contributed to the collection of blood samples. We thank the members of the Laboratory of Clinical and Molecular Virology (LVCM-ICB/USP) for technical support during the execution of the study, and special thanks to Mírian Clara Benicá, Ana Karolina Antunes Eisen, Luciano Thomazelli, Isabela Barbosa, and José Maria Lopes.

Conflicts of Interest

The authors declare no conflicts of interest. The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript; or in the decision to publish the results.

References

  1. Tegally, H.; Moir, M.; Everatt, J.; Giovanetti, M.; Scheepers, C.; Wilkinson, E.; Subramoney, K.; Makatini, Z.; Moyo, S.; Amoako, D.G.; et al. Emergence of SARS-CoV-2 Omicron Lineages BA.4 and BA.5 in South Africa. Nat. Med. 2022, 28, 1785–1790. [Google Scholar] [CrossRef] [PubMed]
  2. Lyngse, F.P.; Kirkeby, C.T.; Denwood, M.; Christiansen, L.E.; Mølbak, K.; Møller, C.H.; Skov, R.L.; Krause, T.G.; Rasmussen, M.; Sieber, R.N.; et al. Household Transmission of SARS-CoV-2 Omicron Variant of Concern Subvariants BA.1 and BA.2 in Denmark. Nat. Commun. 2022, 13, 5760. [Google Scholar] [CrossRef] [PubMed]
  3. Xia, H.; Zou, J.; Kurhade, C.; Cai, H.; Yang, Q.; Cutler, M.; Cooper, D.; Muik, A.; Jansen, K.U.; Xie, X.; et al. Neutralization and Durability of 2 or 3 Doses of the BNT162b2 Vaccine against Omicron SARS-CoV-2. Cell Host Microbe 2022, 30, 485–488.e3. [Google Scholar] [CrossRef] [PubMed]
  4. CDC. COVID Data Tracker—Variant Proportions; CDC: Atlanta, GA, USA, 2023. [Google Scholar]
  5. Khare, S.; Gurry, C.; Freitas, L.; Schultz, M.B.; Bach, G.; Diallo, A.; Akite, N.; Ho, J.; TC Lee, R.; Yeo, W.; et al. GISAID’s Role in Pandemic Response. China CDC Weekly 2021, 3, 1049–1051. [Google Scholar] [CrossRef] [PubMed]
  6. Tamura, T.; Irie, T.; Deguchi, S.; Yajima, H.; Tsuda, M.; Nasser, H.; Mizuma, K.; Plianchaisuk, A.; Suzuki, S.; Uriu, K.; et al. Virological Characteristics of the SARS-CoV-2 XBB.1.5 Variant. Microbiology 2023. [Google Scholar] [CrossRef]
  7. Yamasoba, D.; Uriu, K.; Plianchaisuk, A.; Kosugi, Y.; Pan, L.; Zahradnik, J.; Ito, J.; Sato, K. Virological Characteristics of the SARS-CoV-2 Omicron XBB.1.16 Variant. Lancet Infect. Dis. 2023, 23, 655–656. [Google Scholar] [CrossRef] [PubMed]
  8. Dyer, O. COVID-19: Infections Climb Globally as EG.5 Variant Gains Ground. BMJ 2023, 382, 1900. [Google Scholar] [CrossRef] [PubMed]
  9. Yanez, N.D.; Weiss, N.S.; Romand, J.-A.; Treggiari, M.M. COVID-19 Mortality Risk for Older Men and Women. BMC Public Health 2020, 20, 1742. [Google Scholar] [CrossRef]
  10. Kawasuji, H.; Morinaga, Y.; Tani, H.; Saga, Y.; Kaneda, M.; Murai, Y.; Ueno, A.; Miyajima, Y.; Fukui, Y.; Nagaoka, K.; et al. Age-Dependent Reduction in Neutralization against Alpha and Beta Variants of BNT162b2 SARS-CoV-2 Vaccine-Induced Immunity. Microbiol. Spectr. 2021, 9, e00561-21. [Google Scholar] [CrossRef]
  11. Collier, D.A.; Ferreira, I.A.T.M.; Kotagiri, P.; Datir, R.P.; Lim, E.Y.; Touizer, E.; Meng, B.; Abdullahi, A.; The CITIID-NIHR BioResource COVID-19 Collaboration; Principal Investigators; et al. Age-Related Immune Response Heterogeneity to SARS-CoV-2 Vaccine BNT162b2. Nature 2021, 596, 417–422. [Google Scholar] [CrossRef]
  12. Kurhade, C.; Zou, J.; Xia, H.; Liu, M.; Chang, H.C.; Ren, P.; Xie, X.; Shi, P. Low Neutralization of SARS-CoV-2 Omicron BA.2.75.2, BQ.1.1 and XBB.1 by Parental mRNA Vaccine or a BA.5 Bivalent Booster. Nat. Med. 2023, 29, 344–347. [Google Scholar] [CrossRef] [PubMed]
  13. Wang, Q.; Bowen, A.; Valdez, R.; Gherasim, C.; Gordon, A.; Liu, L.; Ho, D.D. Antibody Response to Omicron BA.4–BA.5 Bivalent Booster. N. Engl. J. Med. 2023, 388, 567–569. [Google Scholar] [CrossRef] [PubMed]
  14. Gangavarapu, K.; Latif, A.A.; Mullen, J.L.; Alkuzweny, M.; Hufbauer, E.; Tsueng, G.; Haag, E.; Zeller, M.; Aceves, C.M.; Zaiets, K.; et al. Outbreak.Info Genomic Reports: Scalable and Dynamic Surveillance of SARS-CoV-2 Variants and Mutations. Nat. Methods 2023, 20, 512–522. [Google Scholar] [CrossRef] [PubMed]
  15. Wong-Lee, J.; Lovett, M. Rapid and Sensitive PCR Method for Identification of Mycoplasma Species in Tissue Culture. In Diagnostic Molecular Microbiology. Principles and Applications; American Society for Microbiology: Washington, DC, USA, 1993; pp. 257–260. [Google Scholar]
  16. Araujo, D.B.; Machado, R.R.G.; Amgarten, D.E.; de Malta, F.M.; de Araujo, G.G.; Monteiro, C.O. SARS-CoV-2 Isolation from the First Reported Patients in Brazil and Establishment of a Coordinated Task Network. Mem. Inst. Oswaldo Cruz 2020, 115, 1–27. [Google Scholar] [CrossRef] [PubMed]
  17. Wendel, S.; Kutner, J.M.; Machado, R.; Fontão-Wendel, R.; Bub, C.; Fachini, R.; Yokoyama, A.; Candelaria, G.; Sakashita, A.; Achkar, R.; et al. Screening for SARS-CoV-2 Antibodies in Convalescent Plasma in Brazil: Preliminary Lessons from a Voluntary Convalescent Donor Program. Transfusion 2020, 60, 2938–2951. [Google Scholar] [CrossRef]
  18. Wendel, S.; Fontão-Wendel, R.; Fachini, R.; Candelaria, G.; Scuracchio, P.; Achkar, R.; Brito, M.; Reis, L.F.; Camargo, A.; Amano, M.; et al. A Longitudinal Study of Convalescent Plasma (CCP) Donors and Correlation of ABO Group, Initial Neutralizing Antibodies (nAb), and Body Mass Index (BMI) with nAb and Anti-nucleocapsid (NP) SARS-CoV-2 Antibody Kinetics: Proposals for Better Quality of CCP Collections. Transfusion 2021, 61, 1447–1460. [Google Scholar] [CrossRef]
  19. Slavov, S.N.; Guaragna Machado, R.R.; Ferreira, A.R.; Soares, C.P.; Araujo, D.B.; Leal Oliveira, D.B.; Covas, D.T.; Durigon, E.L.; Kashima, S. Zika Virus Seroprevalence in Blood Donors from the Northeastern Region of São Paulo State, Brazil, between 2015 and 2017. J. Infect. 2020, 80, 111–115. [Google Scholar] [CrossRef]
  20. Spearman, C. The method of ‘right and wrong cases’ (‘constant stimuli’) without gauss’s formulae. Br. J. Psychol. 1904–1920 1908, 2, 227–242. [Google Scholar] [CrossRef]
  21. Kärber, G. Beitrag zur kollektiven Behandlung pharmakologischer Reihenversuche. Naunyn-Schmiedebergs Arch. Exp. Pathol. Und Pharmakol. 1931, 162, 480–483. [Google Scholar] [CrossRef]
  22. Hojo-Souza, N.S.; Jassat, W.; Guidoni, D.L.; de Souza, F.S.H. Risks of Adverse Outcomes for Hospitalized COVID-19 Patients during the Four Waves in Brazil According to SARS-CoV-2 Variants, Age Group, and Vaccine Status. Viruses 2023, 15, 1997. [Google Scholar] [CrossRef]
  23. Ramasamy, M.N.; Minassian, A.M.; Ewer, K.J.; Flaxman, A.L.; Folegatti, P.M.; Owens, D.R.; Voysey, M.; Aley, P.K.; Angus, B.; Babbage, G.; et al. Safety and Immunogenicity of ChAdOx1 nCoV-19 Vaccine Administered in a Prime-Boost Regimen in Young and Old Adults (COV002): A Single-Blind, Randomised, Controlled, Phase 2/3 Trial. Lancet 2020, 396, 1979–1993. [Google Scholar] [CrossRef] [PubMed]
  24. Hitchings, M.D.T.; Ranzani, O.T.; Dorion, M.; D’Agostini, T.L.; de Paula, R.C.; de Paula, O.F.P.; de Moura Villela, E.F.; Torres, M.S.S.; de Oliveira, S.B.; Schulz, W.; et al. Effectiveness of ChAdOx1 Vaccine in Older Adults during SARS-CoV-2 Gamma Variant Circulation in São Paulo. Nat. Commun. 2021, 12, 6220. [Google Scholar] [CrossRef] [PubMed]
  25. Xia, S.; Jiao, F.; Wang, L.; Yu, X.; Lu, T.; Fu, Y.; Huang, Z.; Li, X.; Huang, J.; Wang, Q.; et al. SARS-CoV-2 Omicron XBB Subvariants Exhibit Enhanced Fusogenicity and Substantial Immune Evasion in Elderly Population, but High Sensitivity to Pan-coronavirus Fusion Inhibitors. J. Med. Virol. 2023, 95, e28641. [Google Scholar] [CrossRef] [PubMed]
  26. Faraone, J.N.; Qu, P.; Zheng, Y.-M.; Carlin, C.; Jones, D.; Panchal, A.R.; Saif, L.J.; Oltz, E.M.; Gumina, R.J.; Liu, S.-L. Continued Evasion of Neutralizing Antibody Response by Omicron XBB.1.16. Cell Rep. 2023, 42, 113193. [Google Scholar] [CrossRef] [PubMed]
  27. Hu, Y.; Zou, J.; Kurhade, C.; Deng, X.; Chang, H.C.; Kim, D.K.; Shi, P.; Ren, P.; Xie, X. Less Neutralization Evasion of SARS-CoV-2 BA.2.86 than XBB Sublineages and CH.1.1. Emerg. Microbes Infect. 2023, 12, 2271089. [Google Scholar] [CrossRef] [PubMed]
  28. Lasrado, N.; Collier, A.Y.; Miller, J.; Hachmann, N.P.; Liu, J.; Sciacca, M.; Wu, C.; Anand, T.; Bondzie, E.A.; Fisher, J.L.; et al. Waning Immunity Against XBB.1.5 Following Bivalent mRNA Boosters. Immunology 2023. [Google Scholar] [CrossRef]
  29. Faraone, J.N.; Qu, P.; Goodarzi, N.; Zheng, Y.-M.; Carlin, C.; Saif, L.J.; Oltz, E.M.; Xu, K.; Jones, D.; Gumina, R.J.; et al. Immune Evasion and Membrane Fusion of SARS-CoV-2 XBB Subvariants EG.5.1 and XBB.2.3. Emerg. Microbes Infect. 2023, 12, 2270069. [Google Scholar] [CrossRef]
  30. Jeong, H.W.; Kim, S.-M.; Jung, M.K.; Noh, J.Y.; Yoo, J.-S.; Kim, E.-H.; Kim, Y.-I.; Yu, K.; Jang, S.-G.; Gil, J.; et al. Enhanced Antibody Responses in Fully Vaccinated Individuals against Pan-SARS-CoV-2 Variants Following Omicron Breakthrough Infection. Cell Rep. Med. 2022, 3, 100764. [Google Scholar] [CrossRef]
  31. Alcantara, L.C.J.; Nogueira, E.; Shuab, G.; Tosta, S.; Fristch, H.; Pimentel, V.; Souza-Neto, J.A.; Coutinho, L.L.; Fukumasu, H.; Sampaio, S.C.; et al. SARS-CoV-2 Epidemic in Brazil: How the Displacement of Variants Has Driven Distinct Epidemic Waves. Virus Res. 2022, 315, 198785. [Google Scholar] [CrossRef]
  32. Zou, J.; Xia, H.; Xie, X.; Kurhade, C.; Machado, R.R.G.; Weaver, S.C.; Ren, P.; Shi, P.-Y. Neutralization against Omicron SARS-CoV-2 from Previous Non-Omicron Infection. Nat. Commun. 2022, 13, 852. [Google Scholar] [CrossRef]
  33. Yang, J.; Hong, W.; Lei, H.; He, C.; Lei, W.; Zhou, Y.; Zhao, T.; Alu, A.; Ma, X.; Li, J.; et al. Low Levels of Neutralizing Antibodies against XBB Omicron Subvariants after BA.5 Infection. Sig. Transduct. Target. Ther. 2023, 8, 252. [Google Scholar] [CrossRef] [PubMed]
  34. Qu, P.; Evans, J.P.; Faraone, J.N.; Zheng, Y.-M.; Carlin, C.; Anghelina, M.; Stevens, P.; Fernandez, S.; Jones, D.; Lozanski, G.; et al. Enhanced Neutralization Resistance of SARS-CoV-2 Omicron Subvariants BQ.1, BQ.1.1, BA.4.6, BF.7, and BA.2.75.2. Cell Host Microbe 2023, 31, 9–17.e3. [Google Scholar] [CrossRef] [PubMed]
  35. Wang, Q.; Iketani, S.; Li, Z.; Liu, L.; Guo, Y.; Huang, Y.; Bowen, A.D.; Liu, M.; Wang, M.; Yu, J.; et al. Alarming Antibody Evasion Properties of Rising SARS-CoV-2 BQ and XBB Subvariants. Cell 2023, 186, 279–286.e8. [Google Scholar] [CrossRef] [PubMed]
  36. Gudbjartsson, D.F.; Norddahl, G.L.; Melsted, P.; Gunnarsdottir, K.; Holm, H.; Eythorsson, E.; Arnthorsson, A.O.; Helgason, D.; Bjarnadottir, K.; Ingvarsson, R.F.; et al. Humoral Immune Response to SARS-CoV-2 in Iceland. N. Engl. J. Med. 2020, 383, 1724–1734. [Google Scholar] [CrossRef]
  37. Moss, P. The T Cell Immune Response against SARS-CoV-2. Nat. Immunol. 2022, 23, 186–193. [Google Scholar] [CrossRef]
  38. Lin, D.-Y.; Xu, Y.; Gu, Y.; Zeng, D.; Wheeler, B.; Young, H.; Sunny, S.K.; Moore, Z. Effectiveness of Bivalent Boosters against Severe Omicron Infection. N. Engl. J. Med. 2023, 388, 764–766. [Google Scholar] [CrossRef]
Vaccines 12 00144 g002
Figure 2. Neutralization against Omicron sublineages BA.4/5, XBB.1.5, XBB.1.16, and EG.5.1. (A) Study design. (B–D) NT50 values of 59 human sera against Omicron BA.4/5, XBB.1.5, XBB.1.16, and EG.5.1, collected after (B) 1 month (median 36 days), (C) 4 months (median 126 days) post-4th dose with parental ChAdOx1-S vaccine, and (D) 3 months (median 86 days) post-5th dose with bivalent mRNA vaccine. (E) Paired analysis of 1 and 4 months post 4th dose with parental ChAdOx1-S vaccine, and 3 months post 5th dose with bivalent mRNA vaccine serum neutralizing titers against D614G variant, Omicron BA.4/5, XBB.1.5, XBB.1.16, and EG.5.1 from 59 individuals. (B–D) Colors designate SARS-CoV-2 variants, data points represent individual subjects and dotted lines represent the lower limit of detection of NT50 (LOD = 18). Geometric mean titers (GMTs) are noted above the respective groups. The fold of GMT reduction against each Omicron sublineage compared with the GMT against B.1.1.28 (SP-HIAE-ID02/2020) are noted above the respective GMTs. Groups were compared by Wilcoxon matched-pairs signed-rank test (ns = not significant, * = p < 0.05, ** = p < 0.01, *** = p < 0.001, **** = p < 0.0001). Panel (A) was created with BioRender.com (accessed on 10 November 2023) and panels (B–E) were generated using GraphPad Prism v10.0 software. See Tables S3 and S4 for complete data.
Figure 2. Neutralization against Omicron sublineages BA.4/5, XBB.1.5, XBB.1.16, and EG.5.1. (A) Study design. (B–D) NT50 values of 59 human sera against Omicron BA.4/5, XBB.1.5, XBB.1.16, and EG.5.1, collected after (B) 1 month (median 36 days), (C) 4 months (median 126 days) post-4th dose with parental ChAdOx1-S vaccine, and (D) 3 months (median 86 days) post-5th dose with bivalent mRNA vaccine. (E) Paired analysis of 1 and 4 months post 4th dose with parental ChAdOx1-S vaccine, and 3 months post 5th dose with bivalent mRNA vaccine serum neutralizing titers against D614G variant, Omicron BA.4/5, XBB.1.5, XBB.1.16, and EG.5.1 from 59 individuals. (B–D) Colors designate SARS-CoV-2 variants, data points represent individual subjects and dotted lines represent the lower limit of detection of NT50 (LOD = 18). Geometric mean titers (GMTs) are noted above the respective groups. The fold of GMT reduction against each Omicron sublineage compared with the GMT against B.1.1.28 (SP-HIAE-ID02/2020) are noted above the respective GMTs. Groups were compared by Wilcoxon matched-pairs signed-rank test (ns = not significant, * = p < 0.05, ** = p < 0.01, *** = p < 0.001, **** = p < 0.0001). Panel (A) was created with BioRender.com (accessed on 10 November 2023) and panels (B–E) were generated using GraphPad Prism v10.0 software. See Tables S3 and S4 for complete data.
Vaccines 12 00144 g002
Vaccines 12 00144 g003
Figure 3. Neutralization against Omicron sublineages BA.4/5, XBB.1.5, XBB.1.16, and EG.5.1 in individuals with or without a history of infection by SARS-CoV-2. (A) NT50 values of sera from older adults without (n = 22) and with (n = 37) infection history, against D614G, Omicron BA.4/5, XBB.1.5, XBB.1.16, and EG.5.1, collected after (A) 1 month (median 36 days; left column) and (B) 4 months (median 126 days; right column) post-4th dose with parental ChAdOx1-S vaccine. (B) NT50 values of sera from individuals with infection history were subdivided into two groups: the ones infected before the BA.4/5 wave (mainly during the BA.1/BA.2 wave) and the ones infected during the BA.4/5 wave. Geometric mean titers (GMTs) are noted above the respective groups. Colors designate infection history, data points represent individual subjects, bars represent GMT with 95% confidence intervals (CI) and dotted lines represent the lower limit of detection of NT50 (LOD = 18). Groups were compared by the non-parametric Mann–Whitney test (ns = not significant, * = p < 0.05). Panels (A,B) were generated using GraphPad Prism v10.0 software. See Table S5 for the complete data.
Figure 3. Neutralization against Omicron sublineages BA.4/5, XBB.1.5, XBB.1.16, and EG.5.1 in individuals with or without a history of infection by SARS-CoV-2. (A) NT50 values of sera from older adults without (n = 22) and with (n = 37) infection history, against D614G, Omicron BA.4/5, XBB.1.5, XBB.1.16, and EG.5.1, collected after (A) 1 month (median 36 days; left column) and (B) 4 months (median 126 days; right column) post-4th dose with parental ChAdOx1-S vaccine. (B) NT50 values of sera from individuals with infection history were subdivided into two groups: the ones infected before the BA.4/5 wave (mainly during the BA.1/BA.2 wave) and the ones infected during the BA.4/5 wave. Geometric mean titers (GMTs) are noted above the respective groups. Colors designate infection history, data points represent individual subjects, bars represent GMT with 95% confidence intervals (CI) and dotted lines represent the lower limit of detection of NT50 (LOD = 18). Groups were compared by the non-parametric Mann–Whitney test (ns = not significant, * = p < 0.05). Panels (A,B) were generated using GraphPad Prism v10.0 software. See Table S5 for the complete data.
Vaccines 12 00144 g003
Table 1. Demographic and clinical characteristics of the older adults’ cohort (n = 59). See Table S1 for the complete data.
Table 1. Demographic and clinical characteristics of the older adults’ cohort (n = 59). See Table S1 for the complete data.
CharacteristicsCohort (n = 59)
Age, years—median (IQR)73 (67–81)
Sex
Female—n (%)26 (44.1%)
Male—n (%)33 (59.1%)
Race
Asian2 (3.4%)
Black15 (25.4%)
Mixed17 (28.8%)
White25 (42.4%)
Reported SARS-CoV-2 infection by RT-qPCR
Positive37 (62.7%)
Negative22 (37.3%)
Comorbidities (n, %)
Alzheimer’s disease1 (1.7%)
Cerebral palsy1 (1.7%)
Dementia14 (23.7%)
Dysmobility syndrome13 (22.0%)
Hypertension9 (15.2%)
Leprosy1 (1.7%)
Rheumatic fever1 (1.7%)
Schizophrenia4 (6.8%)
Sequalae of Traumatic Brain Injury (TBI) or stroke10 (16.9%)
Type 2 diabetes mellitus (T2DM)2 (3.4%)
None4 (6.8%)
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Machado, R.R.G.; Candido, É.D.; Aguiar, A.S.; Chalup, V.N.; Sanches, P.R.; Dorlass, E.G.; Amgarten, D.E.; Pinho, J.R.R.; Durigon, E.L.; Oliveira, D.B.L. Immune Evasion of SARS-CoV-2 Omicron Subvariants XBB.1.5, XBB.1.16 and EG.5.1 in a Cohort of Older Adults after ChAdOx1-S Vaccination and BA.4/5 Bivalent Booster. Vaccines 2024, 12, 144. https://doi.org/10.3390/vaccines12020144

AMA Style

Machado RRG, Candido ÉD, Aguiar AS, Chalup VN, Sanches PR, Dorlass EG, Amgarten DE, Pinho JRR, Durigon EL, Oliveira DBL. Immune Evasion of SARS-CoV-2 Omicron Subvariants XBB.1.5, XBB.1.16 and EG.5.1 in a Cohort of Older Adults after ChAdOx1-S Vaccination and BA.4/5 Bivalent Booster. Vaccines. 2024; 12(2):144. https://doi.org/10.3390/vaccines12020144

Chicago/Turabian Style

Machado, Rafael Rahal Guaragna, Érika Donizetti Candido, Andressa Simoes Aguiar, Vanessa Nascimento Chalup, Patricia Romão Sanches, Erick Gustavo Dorlass, Deyvid Emanuel Amgarten, João Renato Rebello Pinho, Edison Luiz Durigon, and Danielle Bruna Leal Oliveira. 2024. "Immune Evasion of SARS-CoV-2 Omicron Subvariants XBB.1.5, XBB.1.16 and EG.5.1 in a Cohort of Older Adults after ChAdOx1-S Vaccination and BA.4/5 Bivalent Booster" Vaccines 12, no. 2: 144. https://doi.org/10.3390/vaccines12020144

APA Style

Machado, R. R. G., Candido, É. D., Aguiar, A. S., Chalup, V. N., Sanches, P. R., Dorlass, E. G., Amgarten, D. E., Pinho, J. R. R., Durigon, E. L., & Oliveira, D. B. L. (2024). Immune Evasion of SARS-CoV-2 Omicron Subvariants XBB.1.5, XBB.1.16 and EG.5.1 in a Cohort of Older Adults after ChAdOx1-S Vaccination and BA.4/5 Bivalent Booster. Vaccines, 12(2), 144. https://doi.org/10.3390/vaccines12020144

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop