Omicron infection increases IgG binding to spike protein of predecessor variants

Seroprevalence of SARS-CoV-2 infection in pediatric patients in a tertiary care hospital setting

Globally, cases of children's coronavirus disease 2019 (COVID-19) have been reported since the pandemic started. Most children have an asymptomatic or mild infection. Therefore, the incidence rate of COVID-19 in children might have been underestimated. This study aimed to determine (1) the seroprevalence (and seroconversion rates) of COVID-19, including associated risk factors, in pediatric patients visiting hospitals; and (2) the immunological responses to COVID-19. This was a prospective, cross-sectional study. Patients aged 0-18 years who visited the hospital from September 2020 to February 2022 were included. Demographic, clinical, and laboratory data were reviewed. A total of 1,443 pediatric patients were enrolled. Of these, 323 (22.6%) had a history of COVID-19. In the pre-Delta period, the seroprevalence increased from 4.1% to 70.6% in all included patients and from 0.5% to 10% in patients without a known history of COVID-19 compared with the Delta-Omicron period. The seroconversion rate was 6.8% (19 per 100 person-years) in pediatric patients with COVID-19. Risk factors for COVID-19 seropositivity were respiratory symptoms, being in an outpatient department setting, and infection during the Delta-Omicron period. Exposure to household members with confirmed COVID-19 was a risk factor for seropositivity and seroconversion. Infection during the Delta-Omicron period and testing conducted >2 weeks after the onset of symptoms was associated with spike immunoglobulin (Ig) M and spike and nucleocapsid IgG, respectively. High nucleocapsid IgG levels were associated with pneumonia in pediatric patients with COVID-19. Pediatric patients exposed to household members with COVID-19 and respiratory symptoms should be tested for COVID-19. Nucleocapsid IgG can be used as a surrogate marker to identify patients who may have experienced pneumonia from COVID-19 and as a screening tool for the COVID-19 outbreak, regardless of COVID-19 vaccination status.

Specific immunological characteristics and risk factor of XBB variants re-infection in nasopharyngeal carcinoma patients after BA.5 infection

OBJECTIVES

The specific humoral immune response resulting from inactivated vaccination following by BA.5 infection, and predictors of XBB variants re-infection in BA.5 infection-recovered nasopharyngeal carcinoma (BA.5-RNPC) patients, were explored.

METHODS

Serum SARS-CoV-2 specific antibody levels were assessed using enzyme-linked-immunosorbent-assay. Univariate and multivariate binary logistic regression analyses were conducted to identify factors associated with the magnitude of specific humoral immunity and susceptibility to re-infection by XBB variants.

RESULTS

Our data demonstrates that SARS-CoV-2 specific antibody levels were comparable between BA.5-RNPC patients and BA.5 infection-recovered-non-cancerous (BA.5-RNC) individuals. Specifically, serum levels of anti-ancestral-S1-IgG, anti-ancestral-nucleocapsid-protein (NP)-IgG, anti-BA.5-receptor binding domain (RBD)-IgG and anti-XBB.1.1.6-RBD-IgG were higher in BA.5-RNPC patients compared to those without a prior infection. Compared to BA.5-RNPC patients without vaccination, individuals who received inactivated vaccination exhibited significantly higher levels of anti-ancestral-S1-IgG and anti-XBB.1.16-RBD-IgG. Multivariate logistic regression analysis revealed that inactivated vaccination was the most significant predictor of all tested SARS-CoV-2 specific antibodies response. Subsequent analysis indicated that a low globulin level is an independent risk factor for XBB re-infection in BA.5-RNPC patients.

CONCLUSIONS

The SARS-CoV-2 specific antibodies have been improved in vaccinated BA.5-RNPC patients. However, the baseline immunity status biomarker IgG is an indicators of XBB variant re-infection risk in BA.5-RNPC patients.

Role of prior immunity in binding to spike of "future" Omicron subvariants

BACKGROUND

Throughout the COVID-19 pandemic, virus evolution and large-scale vaccination programs have caused multiple exposures to SARS CoV-2 spike protein, resulting in complex antibody profiles. The binding of these to spike protein of "future" variants in the context of such heterogeneous exposure has not been studied.

METHODS

We tested archival sera (Delta and Omicron period) stratified by anti-spike antibody (including IgG) levels for reactivity to Omicron-subvariants(BA.1, BA.2,BA.2.12.1, BA.2.75, BA.4/5 and BF.7) spike protein. Assessed antigenic distance between groups using Antigenic Cartography and performed hierarchical clustering of antibody data in a Euclidean distance framework.

RESULTS

Antibody (including IgG) antibody reactivity to Wild-type (CLIA) and subvariants (ELISA) spike protein were similar between periods (p > 0.05). Both 'High S' and 'Low S' of Delta and Omicron periods were closely related to "future" subvariants by Antigenic Cartography. Sera from different S groups clustered together with 'Low S' interspersed between 'High S' on hierarchical clustering, suggesting common binding sites. Further, anti-spike antibodies (including IgG) to Wild-type (S1/S2 and Trimeric S) clustered with Omicron-subvariant binding antibodies.

CONCLUSIONS

Hybrid immunity caused by cumulative virus exposure in Delta or Omicron periods resulted in equivalent binding to "future" variants, which might be due to binding to conserved regions of spike protein of future variants. A prominent finding is that the 'Low S' antibody demonstrates similar binding.

SMART-lipid nanoparticles enabled mRNA vaccine elicits cross-reactive humoral responses against the omicron sub-variants

The continual emergence of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) variants has necessitated the development of broad cross-reactive vaccines. Recent findings suggest that enhanced antigen presentation could lead to cross-reactive humoral responses against the emerging variants. Toward enhancing the antigen presentation to dendritic cells (DCs), we developed a novel shikimoylated mannose receptor targeting lipid nanoparticle (SMART-LNP) system that could effectively deliver mRNAs into DCs. To improve the translation of mRNA, we developed spike domain-based trimeric S1 (TS1) mRNA with optimized codon sequence, base modification, and engineered 5' and 3' UTRs. In a mouse model, SMART-LNP-TS1 vaccine could elicit robust broad cross-reactive IgGs against Omicron sub-variants, and induced interferon-γ-producing T cells against SARS-CoV-2 virus compared with non-targeted LNP-TS1 vaccine. Further, T cells analysis revealed that SMART-LNP-TS1 vaccine induced long-lived memory T cell subsets, T helper 1 (Th1)-dominant and cytotoxic T cells immune responses against the SARS-CoV-2 virus. Importantly, SMART-LNP-TS1 vaccine produced strong Th1-predominant humoral and cellular immune responses. Overall, SMART-LNPs can be explored for precise antigenic mRNA delivery and robust immune responses. This platform technology can be explored further as a next-generation delivery system for mRNA-based immune therapies.

Immunoinformatics and MD-simulation data suggest that Omicron spike epitopes are more interacting to IgG via better MHC recognition than Delta variant

BACKGROUND

Recently, in Nov 2021, in South Africa, the SARS CoV-2 variant Omicron was found to be highly infectious and transmissible but with the least fatality. It occupies the nasopharynx-oropharynx and easily spreads. The epidemiological data/reports suggest that several vaccines failed to neutralize Omicron. It has a large number of spike mutations and the RNA/protein vaccines were developed from its predecessors that may justify its escape in most neutralization reactions. Its lower immuno-suppression/cytokine-storming/inflammatory-response effects need exploration.

OBJECTIVES

In the current study, we attempted to delineate the comparative interaction of different variants' spikes with multiple recognition sites on IgG and HLA-typing of MHC class and I and II.

METHODS

All SARS-CoV-2 spike-proteins/human-IgG/MHC-I & II were obtained from the NCBI/ PDB/GISAID database. Initial 3D-structures of the unavailable proteins were constructed by Homology-Modeling (Swissmodel-Expasy) and optimized (PROCHECK). Molecular-docking of spike-IgG/spike- I & MHC-II was performed (HADDOCK2.4/HawkDock) with active-residue screening (CPORT). Antigenicity of epitopes was determined (Vaxigen v2.0-server) and the epitope-model prepared (PEP-FOLD3-server). The binding-affinity/biological-interfaces/visualize were performed (PRODIGY-PyMOL2). We also examined the genesis of feasible transition pathways of functional docked complexes (iMODs) of MHC with different epitopes and antibodies of IgG with different variants. Further, Molecular-Dynamic-Simulation was performed by GROMACS 2023.1 software package. The MD-simulation was run with 100 ns (300 k-heating/1-atm pressure).

RESULTS

Surface-area with interactomes, H-bonding and polar/non-polar bonding were the highest in Omicron spike-IgG interaction. Unlike other variants, both the L and H chains of at least three different recognition sites of IgG interact with the N-terminal and C-terminal RBD of the S1-portion and partially bind to S2. In other cases, binding was observed in either NTD or CTD with a lesser number of bonding-interactomes, especially in Delta spike-Ab interaction. In the case of MHC class-I & II, the highest binding affinity/surface was noticed by Omicron and least by the Delta variant. The MD simulation data of lower RMSD values of the Delta and Omicron variants indicate improved structural stability and less departure from the initial conformation. Better binding to the IgG and MHC molecules explains Omicron's little ability in immune invasion.

Humoral Immune Responses in Patients with Severe COVID-19: A Comparative Pilot Study between Individuals Infected by SARS-CoV-2 during the Wild-Type and the Delta Periods

Since the onset of the COVID-19 pandemic, humanity has experienced the spread and circulation of several SARS-CoV-2 variants that differed in transmissibility, contagiousness, and the ability to escape from vaccine-induced neutralizing antibodies. However, issues related to the differences in the variant-specific immune responses remain insufficiently studied. The aim of this study was to compare the parameters of the humoral immune responses in two groups of patients with acute COVID-19 who were infected during the circulation period of the D614G and the Delta variants of SARS-CoV-2. Sera from 48 patients with acute COVID-19 were tested for SARS-CoV-2 binding and neutralizing antibodies using six assays. We found that serum samples from the D614G period demonstrated 3.9- and 1.6-fold increases in RBD- and spike-specific IgG binding with wild-type antigens compared with Delta variant antigens (p < 0.01). Cluster analysis showed the existence of two well-separated clusters. The first cluster mainly consisted of D614G-period patients and the second cluster predominantly included patients from the Delta period. The results thus obtained indicate that humoral immune responses in D614G- and Delta-specific infections can be characterized by variant-specific signatures. This can be taken into account when developing new variant-specific vaccines.

Overview of immunological & virological factors driving the evolution & global spread of SARS-CoV-2 variants

The SARS-CoV-2, a highly infectious positive strand RNA virus first identified in December 2019, has produced multiple genetic variants that have rapidly and sequentially spread worldwide during the coronavirus disease 2019 (COVID-19) pandemic. Genetic changes in SARS-CoV-2 for greater infectivity, replication and transmission were selected during the early stages of the pandemic. More recently, after widespread infection and vaccination, SARS-CoV-2 variants that evade antigen-specific adaptive immunity, have begun to be selected. This article provides an overview of the molecular immunological and virological factors underlying the origin and global spread of important SARS-CoV-2 variant lineages.

Omicron infection-associated T- and B-cell immunity in antigen-naive and triple-COVID-19-vaccinated individuals

Since early 2022, various Omicron variants have dominated the SARS-CoV-2 pandemic in most countries. All Omicron variants are B-cell immune escape variants, and antibodies induced by first-generation COVID-19 vaccines or by infection with earlier SARS-CoV-2 variants largely fail to protect individuals from Omicron infection. In the present study, we investigated the effect of Omicron infections in triple-vaccinated and in antigen-naive individuals. We show that Omicron breakthrough infections occurring 2-3.5 months after the third vaccination restore B-cell and T-cell immune responses to levels similar to or higher than those measured 14 days after the third vaccination, including the induction of Omicron-neutralizing antibodies. Antibody responses in breakthrough infection derived mostly from cross-reacting B cells, initially induced by vaccination, whereas Omicron infections in antigen-naive individuals primarily generated B cells binding to the Omicron but not the Wuhan spike protein. Although antigen-naive individuals mounted considerable T-cell responses after infection, B-cell responses were low, and neutralizing antibodies were frequently below the limit of detection. In summary, the detection of Omicron-associated B-cell responses in primed and in antigen-naive individuals supports the application of Omicron-adapted COVID-19 vaccines, but calls into question their suitability if they also contain/encode antigens of the original Wuhan virus.