A large body of evidence generated in the last two and a half years addresses the roles of T cells in SARS-CoV-2 infection and following vaccination. Infection or vaccination induces multi-epitope CD4 and CD8 T cell responses with polyfunctionality. Early T cell responses have been associated with mild COVID-19 outcomes. In concert with animal model data, these results suggest that while antibody responses are key to prevent infection, T cell responses may also play valuable roles in reducing disease severity and controlling infection. T cell memory after vaccination is sustained for at least six months. While neutralizing antibody responses are impacted by SARS-CoV-2 variants, most CD4 and CD8 T cell responses are preserved. This review highlights the extensive progress made, and the data and knowledge gaps that remain, in our understanding of T cell responses to SARS-CoV-2 and COVID-19 vaccines. Expected final online publication date for the Annual Review of Immunology, Volume 41 is April 2023. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates.

T Cell Responses to SARS-CoV-2.

Key features of immune memory are greater and faster antigen-specific antibody responses to repeat infection. In the setting of immune-evading viral evolution, it is important to understand how far antibody memory recognition stretches across viral variants when memory cells are recalled to action by repeat invasions. It is also important to understand how immune recall influences longevity of secreted antibody responses. We analyzed SARS-CoV-2 variant recognition, dynamics of memory B cells and secreted antibody over time after infection, vaccination, and boosting. We find that a two-dose SARS-CoV-2 vaccination regimen given after natural infection generated greater longitudinal antibody stability and induced maximal antibody magnitudes with enhanced breadth across Beta, Gamma, Delta and Omicron variants. A homologous 3rd mRNA vaccine dose in COVID-naïve individuals conferred greater cross-variant evenness of neutralization potency with stability that was equal to the hybrid immunity conferred by infection plus vaccination. Within unvaccinated individuals who recovered from COVID, enhanced antibody stability over time was observed within a subgroup of individuals that recovered more quickly from COVID and harbored significantly more memory B cells cross-reactive to endemic coronaviruses early after infection. These cross-reactive clones map to the conserved S2 region of SARS-CoV-2 spike with higher somatic hypermutation levels and greater target affinity. We conclude that SARS-CoV-2 antigen challenge histories in humans influence not only the speed and magnitude of antibody responses, but also functional cross-variant antibody repertoire composition and longevity.

https://www.science.org/cms/asset/e8464abc-078e-4656-977d-dc769e160939/sciimmunol.abp8328.v1.pdf

Immune recall improves antibody durability and breadth to SARS-CoV-2 variants

The proliferation of single-cell multimodal sequencing technologies has enabled us to understand cellular heterogeneity with multiple views, providing novel and actionable biological insights into the disease-driving mechanisms. Here, we propose a comprehensive end-to-end single-cell multimodal analysis framework named Deep Parametric Inference (DPI). DPI transforms single-cell multimodal data into a multimodal parameter space by inferring individual modal parameters. Analysis of cord blood mononuclear cells (CBMC) reveals that the multimodal parameter space can characterize the heterogeneity of cells more comprehensively than individual modalities. Furthermore, comparisons with the state-of-the-art methods on multiple datasets show that DPI has superior performance. Additionally, DPI can reference and query cell types without batch effects. As a result, DPI can successfully analyze the progression of COVID-19 disease in peripheral blood mononuclear cells (PBMC). Notably, we further propose a cell state vector field and analyze the transformation pattern of bone marrow cells (BMC) states. In conclusion, DPI is a powerful single-cell multimodal analysis framework that can provide new biological insights into biomedical researchers. The python packages, datasets and user-friendly manuals of DPI are freely available at https://github.com/studentiz/dpi.

Modeling and analyzing single-cell multimodal data with deep parametric inference

Background: Both natural immunity and vaccine-induced immunity to COVID-19 may be useful to reduce the mortality/morbidity of this disease, but still a lot of controversy exists. Aims: This narrative review analyzes the literature regarding these two immunitary processes and more specifically: (a) the duration of natural immunity; (b) cellular immunity; (c) cross-reactivity; (d) the duration of post-vaccination immune protection; (e) the probability of reinfection and its clinical manifestations in the recovered patients; (f) the comparisons between vaccinated and unvaccinated as to the possible reinfections; (g) the role of hybrid immunity; (h) the effectiveness of natural and vaccine-induced immunity against Omicron variant; (i) the comparative incidence of adverse effects after vaccination in recovered individuals vs. COVID-19-naïve subjects. Material and Methods: through multiple search engines we investigated COVID-19 literature related to the aims of the review, published since April 2020 through July 2022, including also the previous articles pertinent to the investigated topics. Results: nearly 900 studies were collected, and 246 pertinent articles were included. It was highlighted that the vast majority of the individuals after suffering from COVID-19 develop a natural immunity both of cell-mediated and humoral type, which is effective over time and provides protection against both reinfection and serious illness. Vaccine-induced immunity was shown to decay faster than natural immunity. In general, the severity of the symptoms of reinfection is significantly lower than in the primary infection, with a lower degree of hospitalizations (0.06%) and an extremely low mortality. Conclusions: this extensive narrative review regarding a vast number of articles highlighted the valuable protection induced by the natural immunity after COVID-19, which seems comparable or superior to the one induced by anti-SARS-CoV-2 vaccination. Consequently, vaccination of the unvaccinated COVID-19-recovered subjects may not be indicated. Further research is needed in order to: (a) measure the durability of immunity over time; (b) evaluate both the impacts of Omicron BA.5 on vaccinated and healed subjects and the role of hybrid immunity.

/pdf/sars-cov-2-the-role-of-natural-immunity-a-narrative-review-1qdt3pcp.pdf

SARS-CoV-2—The Role of Natural Immunity: A Narrative Review

ABSTRACT
 The coronavirus disease 2019 (COVID-19) has caused enormous health risks and global economic disruption. This disease is caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). The SARS-CoV-2 nucleocapsid protein is a structural protein involved in viral replication and assembly. There is accumulating evidence indicating that the nucleocapsid protein is multi-functional, playing a key role in the pathogenesis of COVID-19 and antiviral immunity against SARS-CoV-2. Here, we summarize its potential application in the prevention of COVID-19, which is based on its role in inflammation, cell death, antiviral innate immunity, and antiviral adaptive immunity.

https://doi.org/10.1080/22221751.2022.2164219

The role of SARS-CoV-2 nucleocapsid protein in antiviral immunity and vaccine development

CD4+ T cells are central to long-term immunity against viruses through the functions of T helper 1 (TH1) and T follicular helper (TFH) cell subsets. To better understand the role of these subsets in coronavirus disease 2019 (COVID-19) immunity, we conducted a longitudinal study of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)–specific CD4+ T cell and antibody responses in convalescent individuals who seroconverted during the first wave of the pandemic in Boston, MA, USA, across a range of COVID-19 disease severities. Analyses of spike (S) and nucleocapsid (N) epitope–specific CD4+ T cells using peptide and major histocompatibility complex class II (pMHCII) tetramers demonstrated expanded populations of T cells recognizing the different SARS-CoV-2 epitopes in most individuals compared with prepandemic controls. Individuals who experienced a milder disease course not requiring hospitalization had a greater percentage of circulating TFH (cTFH) and TH1 cells among SARS-CoV-2–specific cells. Analysis of SARS-CoV-2–specific CD4+ T cells responses in a subset of individuals with sustained anti-S antibody responses after viral clearance also revealed an increased proportion of memory cTFH cells. Our findings indicate that efficient early disease control also predicts favorable long-term adaptive immunity. Description The proportion of cTFH within SARS-CoV-2–specific cells was decreased in severe disease and increased in sustained antibody producers.

SARS-CoV-2 epitope-specific CD4+ memory T cell responses across COVID-19 disease severity and antibody durability

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SARS-CoV-2 epitope-specific CD4+ memory T cell responses across COVID-19 disease severity and antibody durability