Esther Moga
Elionor Lynton-Pons1
Pere Domingo- 1Department of Immunology, Hospital de la Santa Creu i Sant Pau, Biomedical Research Institute Sant Pau (IIB Sant Pau), Universitat Autònoma de Barcelona, Barcelona, Spain
- 2Unidad de enfermedades infecciosas, Hospital de la Santa Creu i Sant Pau, Barcelona, Spain
Two years after the appearance of the SARS-CoV-2 virus, the causal agent of the current global pandemic, it is time to analyze the evolution of the immune protection that infection and vaccination provide. Cellular immunity plays an important role in limiting disease severity and the resolution of infection. The early appearance, breadth and magnitude of SARS-CoV-2 specific T cell response has been correlated with disease severity and it has been thought that T cell responses may be sufficient to clear infection with minimal disease in COVID-19 patients with X-linked or autosomal recessive agammaglobulinemia. However, our knowledge of the phenotypic and functional diversity of CD8+ cytotoxic lymphocytes, CD4+ T helper cells, mucosal-associated invariant T (MAIT) cells and CD4+ T follicular helper (Tfh), which play a critical role in infection control as well as long-term protection, is still evolving. It has been described how CD8+ cytotoxic lymphocytes interrupt viral replication by secreting antiviral cytokines (IFN-γ and TNF-α) and directly killing infected cells, negatively correlating with stages of disease progression. In addition, CD4+ T helper cells have been reported to be key pieces, leading, coordinating and ultimately regulating antiviral immunity. For instance, in some more severe COVID-19 cases a dysregulated CD4+ T cell signature may contribute to the greater production of pro-inflammatory cytokines responsible for pathogenic inflammation. Here we discuss how cellular immunity is the axis around which the rest of the immune system components revolve, since it orchestrates and leads antiviral response by regulating the inflammatory cascade and, as a consequence, the innate immune system, as well as promoting a correct humoral response through CD4+ Tfh cells. This review also analyses the critical role of cellular immunity in modulating the development of high-affinity neutralizing antibodies and germinal center B cell differentiation in memory and long-lived antibody secreting cells. Finally, since there is currently a high percentage of vaccinated population and, in some cases, vaccine booster doses are even being administered in certain countries, we have also summarized newer approaches to long-lasting protective immunity and the cross-protection of cellular immune response against SARS-CoV-2.
Highlights
. The presence of cross-reactivity, either humoral or cellular, between common cold hCoV and SARS-CoV-2 does not prevent infection but may be associated with less severe COVID-19.
. The presence of SARS-CoV-2-specific CD4+ Th1 IFN-γ-producing cells and CD8+ CTLs cells were associated with reduced disease severity.
. T lymphocyte recruitment to infected lung tissues and T lymphocyte apoptosis/necrosis caused by the cytokine storm might be crucial determinants of CD4+ and CD8+ T-cell lymphopenia in severe COVID-19 cases.
. Severe/fatal disease presents with excessive hyperactivation of immune function with increased Tregs and Th2 and/or Th17 cell-biased phenotype, leading to T cell exhaustion and subsequently to a state of anergy.
. Functional memory B and T cells to SARS-CoV-2 have been detected 12 months after natural infection. SARS-CoV-2-specific T cell memory may be long lasting given that COVID-19 convalescent patients develop SARS-CoV-2-specific TSCM cells that display a non-exhausted phenotype.
. The immunogenicity of SARS-CoV-2 vaccines involves the humoral response (number of spike-specific antibodies, neutralizing antibodies, and antibody neutralization capacity) and the cellular response (IFN-γ-producing CD4+ and CD8+ T cells). Therefore, a combined analysis of humoral and cellular immunity is necessary for the identification of vaccine responders and the immune protection evolution.
Introduction
Coronaviruses (CoVs) are enveloped viruses containing non-segmented, single-stranded, positive-sense RNA genome whose primarily hosts are vertebrates (1, 2). Human Corovaniruses (HCoVs) have been responsible for significant health-related and economic costs worldwide for the last 20 years. The first time we received alarming information regarding HCoVs was with the appearance of severe acute respiratory syndrome coronavirus (SARS-CoV) in Guangdong Province (China) in November 2002 (3). By 2003, it had turned into a global infection with a mortality rate of 10% (4). The second HCoV outbreak occurred a decade later, in June 2012, with the Middle East respitatory syndrome coronavirus (MERS-CoV), which originated in Jeddah, Saudi Arabia (5). In the case of MERS-CoV, a 35% fatality rate was reported worldwide (6). Finally, the current pandemic, which is caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), originated in Wuhan, China in December 2019 and causes the infection designated COVID-19 (Coronavirus Disease 2019) (7).
CoVs are classified in the realm Riboviria, order Nidovirales, suborder Cornidovirineae and family Coronaviridae with all 39 species of CoVs distributed in 27 subgenera, five genera, and two subfamilies (8, 9). HCoV are members of the Coronavirinae subfamily and are, in turn, categorized by the International Committee for the Taxonomy of Viruses into four major genera: AlphaCoV, BetaCoV, GammaCoV, and DeltaCoV (9). The AlphaCoV genera contains the common cold-causing HCoV-229E and HCoV-NL63 HCoVs, whereas in the BetaCoV genera are placed the common cold-causing HCoV-HKU1 and HCoV-OC43, as well as SARS-CoV, and MERS-CoV (10). SARS-CoV-2 sequence analysis has demonstrated a distant similarity of 79% to SARS-CoV and a 50% similarity to MERS-CoV with an 88% sequence identity to bat-SL-CoVZC45, bat-SLCoVZXC21 and bat-derived SARS-like CoV (11, 12).
The emergence of numerous SARS-CoV-2 variants of interest (VOI) and variants of concern (VOC) is one of the most important developments in the COVID-19 pandemic (13). The most important VOC variants reported to date are Alpha (B.1.1.7), Beta (B.1.351), Gamma (P.1) (14, 15), Mu (B.1.621) (16), Delta (B.1.617.2) (17) and Omicron (B.1.1.529), with the latest VOC reported in November 2021 (18). Understanding the impact of these variants on cellular immunity, in the context of COVID-19 infection and vaccination, is important for the development of effective strategies against future SARS-CoV-2 variants.
Viral Infections and T Cell Immune Responses
A harmonized innate and adaptive immune response is crucial for the control and clearance of most viral infections. These two branches of the immune system collaborate to protect the body against infections. First, innate immunity includes evolutionarily primitive molecular and cellular mechanisms that recognize pathogens as common molecular patterns with the aim of preventing infection and quickly eliminating them. Second, the adaptive immune system takes longer to act but is characterised by a much more accurate response, as T and B lymphocytes undergo antigen-specific selection and proliferation. For many primary virus infections, it typically takes 7-10 days to prime and expand adaptive T cell immune responses in order to control the virus (19). Virus specific T cells have been shown to be protective against other viruses, like influenza (20), while heterologous immunity against diverse influenza strains is associated with conserved memory T-cell epitopes (21–23).
Coronaviruses and Immunity: Previous Knowledge
The innate immune system includes physical and chemical barriers to infection, as well as the germline-encoded receptors, known as pattern recognition receptors (PRRs), which recognise the common molecular structures of many pathogens. PRRs bind to pathogen-associated molecular patterns (PAMPs) and damage-associated molecular patterns (DAMPs) and trigger cellular responses. As we know from other CoVs, double-stranded RNA (dsRNA), which is a by-product of viral genome replication and transcription, is a relevant PAMP model for CoVs (24, 25). It can be detected in the endosome by Toll-like receptor 3 (TLR3) and in the cytoplasm by RNA helicases retinoic acid-inducible gene I (RIG-I), melanoma differentiation-associated protein 5 (MDA5), and protein kinase R (PKR) (26–28). Single-stranded RNA (ssRNA) can also be detected in the endosome by Toll-like receptor 7 (TLR7) (29). Altogether, this allows for the detection of viral infection, activating signalling cascades like myeloid differentiation primary response 88 (MyD88) and inducing the production of type I interferons (IFNs) and nuclear factor kappa B (NF-κB) activation which, in turn, will induce the transcription of pro-inflammatory cytokines (30). Collectively, this triggers an antiviral immune response that constraints viral replication in infected and neighbouring cells.
However, CoVs are able to evade the mechanisms of innate immune detection, thereby preventing the generation of a proper immune response against viral infection (31). For example, the non-structural protein 3 (NSP3) of previous HCoVs has a papain-like protease domain that inhibits the activation of IFN regulatory factor 3 (IRF3) and the ubiquitination of TANK-binding kinase (TBK1), and RIG-I (32–35). Another example is the capacity of both SARS-CoV and MERS-CoV to prompt the production of double membrane vesicles lacking PRRs and their replication within them, thereby eluding the host viral dsRNA detection system (36, 37). Furthermore, the SARS-CoV and MERS-CoV M protein has previously been shown to interact with TNF receptor-associated factor 3 (TRAF3), disrupting TRAF3-TBK1 association and thus suppressing type I IFN production (38–40).
When the innate immune system is unable to control the viral infection, the adaptive immune system assumes a very important role. Previous studies of the adaptive immune response to earlier CoVs reported that antibody response decreases rapidly after infection or immunization, especially in cases of mild or subclinical disease such as that caused by common cold CoVs or mild MERS-CoVs, allowing for potential reinfection (41, 42). Moreover, SARS-CoV and MERS-CoV have been shown to impair T cell function and induce T cell apoptosis (43, 44). Thus, a commonly observed phenotype during acute phase disease in SARS-CoV and MERS-CoV patients, and also in COVID-19, was lymphopenia, which was seen particularly in patients with severe disease (43, 45, 46).
As is well known, the cytokine microenvironment generated by antigen presenting cells directs T cell phenotype differentiation and responses. Current evidence indicates that T helper 1 (Th1) response is crucial for the successful control of SARS-CoV and MERS-CoV (47).
There are a number of studies attempting to address the issue of the immune memory persistence conferred by infection with HCoVs. Some of those reveal that CD4+ and CD8+ memory T cell responses were identified in the blood of 70-100% of SARS-CoV patients four and six years after infection (48–50) and (51) even detected CD8+ T cell responses 11 years post-infection. These memory T cells may remain functionally active since another study revealed that they could proliferate, produce IFN-γ and induce delayed-type hypersensitivity (DTH) fast at antigen reencounter (48). Overall, T cell responses have been observed to have enhanced durability relative to antibody responses in SARS-CoV and MERS-CoV, hence it seems cellular response is crucial for the longevity of the immunity conferred by infection with CoVs.
Pre-Existing Immune Reactivity
At the beginning of the pandemic outbreak, many studies focused on the possibility of pre-existing immunity against SARS-CoV-2. Considering that more than 90% of the human population is seropositive for at least one out of three of the common cold-causing HCoVs (52), it is reasonable to hypothesize that there may be a degree of cross-reactivity between the immunity conferred against common cold HCoVs and immunity against SARS-CoV-2. Among unexposed donors, 20% to 50% had lymphocytes exhibiting significant reactivity to antigen peptide pools of SARS-CoV-2 (53–57).
Multiple investigations into early serological response to SARS-CoV-2 reported unconventional seroconversion patterns resembling those of secondary immune responses. During a secondary immune response, memory lymphocytes provide the necessary mechanisms for rapid, antigen-specific, effective immune responses, and when the same pathogen infects the body a second time, it often originates only mild symptoms or may not cause any symptoms at all. A large serological study of COVID-19 patients found IgM seroconversion before IgG (typical primary response), as expected in previously unexposed individuals, but also synchronous IgM and IgG, and IgM after IgG seroconversion, describing an uncommon pattern of seroconversion to SARS-CoV-2 infection (58). In COVID-19 convalescent subjects, IgG against the S protein of the HCoV-OC43 had higher titers than in unexposed subjects but that was not true for the S protein of HCoV-229E, which suggests a more significant cross-reactivity between betacoronaviruses (59). The same authors suggested that the early parallel production of IgM and IgG in response to SARS-CoV-2 infection might be mediated by the stimulation of IgG memory B cells, as well as by naïve B cells (59) indicating that the memory generated by previous infections with other HCoVs would trigger a response to infection by the current SARS-CoV-2.
However, although there are studies supporting the presence of pre-existing SARS-CoV-2 cross-reactive antibody neutralizing capacity (60), others found no association between the presence of pre-existing cross-reactive antibodies to SARS-CoV-2 and protection against SARS-CoV-2 infections and hospitalizations (61). That might be explained by the fact that those pre-existing cross-reactive antibodies share predominantly non-neutralizing antibodies against the epitopes of previously circulating HCoVs (61–63). Assuming that shared cross-reactive antibodies to SARS-CoV-2 had no neutralizing activity, pre-existing cellular immunity would play a crucial protective role.
Several studies have provided evidence of the cross-reactivity of T cell responses between SARS-CoV-2 and the common cold HCoVs (55–57, 64–67). Mateus J. et al. (64) detected cross-reactive CD4+ memory T cells with peptide pools selected on the basis of homology between SARS-CoV-2 and other HCoVs and concluded that memory CD4+ T cells recognizing common cold HCoVs can exhibit substantial cross-reactivity to the homologous epitope in SARS-CoV-2. Cross-reactive CD8+ T cells also exist and, although they are less prevalent than cross-reactive CD4+ T cells (53), might be important determinants of immune protection at individual and population levels (68).
Nevertheless, pre-existing T cell immunity to SARS-CoV-2 has apparently low avidity when compared to that developed following infection with SARS-CoV-2 and may not participate in immunity very effectively (69). Thus, the immunity developed by previous HCoVs is not sufficient to prevent subsequent infection by SARS-CoV-2 but might be associated with less severe COVID-19 (70).
Interestingly, there seems to be an inverse association between cross-reactive antibody levels and age as shown by Shrwani K. et al. (63), who found children and younger people to have higher pre-existing cross-reactive antibodies to SARS-CoV-2 than older individuals. In line with that finding, a decrease in the magnitude and quality of SARS-CoV-2 cross-reactive CD4+ T-cells response with age has also been reported (71). Bearing this in mind, increased susceptibility to severe COVID-19 in elderly patients may at least in part be explained by a smaller pool of naïve T cells and the incapacity of the aged immune system to maintainthe SARS-CoV-2 cross-reactive T cells induced by previous HCoV infection.
SARS-CoV-2 Immune Evasion
Innate Immune System Evasion
As mentioned above, the first line of defense provided by our immune system against infection comes from the innate immune system. SARS-CoV-2, like other viruses and other HCoVs, attempts to evade the innate immune system and has been shown to do so by employing several different strategies.
Apparently, the main tactic by which viruses manage to evade the innate immune system is the inhibition of type I IFN response at different levels. It has been reported that SARS-CoV-2 may inhibit viral RNA recognition by modifying its own RNA and mimicking host RNA. The non-structural proteins NSP13, NSP14 and NSP16 perform this function by mediating the addition of a 7-methylguanyalte cap at the 5’ end of viral RNA in order to elude RIG-I and MDA5 recognition (72, 73). SARS-CoV-2 can also inhibit type I IFN at different points of the signalling cascade, leading to IFN production after non-self nucleic acid detection. The SARS-CoV-2 NSP15 protein may reduce IFN production as there is evidence that NSP15 binds to NRDP1 (74), the E3 protein ubiquitin ligase, which is known to enhance TBK1 and IRF3 activation, thereby promoting IFN production (75). TBK1 activation can also be inhibited by the NSP13 SARS-CoV-2 protein (74, 76, 77), and is decreased, along with IRF3 activation, by open reading frame 9 (ORF9)- cyclic GMP−AMP synthase (cGAS)-stimulator of interferon genes (STING) interaction (78). The NSP12 SARS-CoV-2 protein seems to impair the nuclear translocation of IFR3 by inhibiting IFN-β promoter activity (79, 80). Some studies have reported the disruption of RIG-I-like receptor (RLR) signalosome binding to translocase of outer mitochondrial membrane 70 (TOM70) by ORF9b (74, 76, 81) and have suggested that ORF9b-TOM70 interaction may inhibit IFN-β promoter activity (82). Moreover, ORF9b expression by SARS-CoV-2 may prevent the ubiquitination of NEMO (NF-kB essential modulator), NF-kB activation and nuclear translocation (83). Furthermore, the ISGlyation (labelling with interferon-stimulated gene 15 (ISG15), an ubiquitin-like protein) of MDA5, which is required for downstream pathway activation to lead to IFN-β secretion, may be inhibited by the NSP3 protein of SARS-CoV-2 (84). The NSP3 protein also seems to antagonize IRF3 stabilization (85). Other investigations have proposed that SARS-CoV-2-M protein antagonizes RLR signaling by inhibiting IFN-β and IFN-k gene expression and IFN-β promoter activity (86, 87). In addition, Xia H. et al. (88) demonstrated that M protein reduces ISRE (interferon-stimulated response element) reporter activity after treatment with IFN activation. SARS-CoV-2 has been also shown to inhibit the IFN signalling cascade at the signal transducer and activation of transcription (STATs) phosphorialtion level. For example, the expression inhibition and lysosomal degradation of interferon-α/β receptor 1 (IFNAR1) by NSP14 and ORF3a SARS-CoV-2 proteins impairs STAT1 phosphorylation, as reported by Hayn M. et al. (89).
Adaptive Immune System Evasion
All the above-mentioned strategies allow SARS-CoV-2 to overcome the first line of defense of the host and this is when the host’s second line of defense comes into play: the adaptive immune system. Unfortunately, SARS-CoV-2 has also developed evasion mechanisms to overcome the adaptive immune system.
Humoral
A certain degree of SARS-CoV-2 antibody neutralization escape has been detected in every variant of concern: Alpha or B.1.1.7 (90, 91), Beta or B.1.315 (92, 93), Gamma or P.1 (94, 95), Epsilon encompassing the lineages B.1.427 and B.1.429 (96, 97), Delta or B.1.617.2 (17, 98), as well as Omicron or B.1.1.529 (99–101). As expected given the unprecedented high infection (and reinfection) rate numbers of the Omicron variant, this VOC was able to easily evade past infection humoral immunity compared to the epidemiological surveillance data for Beta and Delta variants (102). However, although the neutralization ability of convalescent sera against Omicron is low, a certain degree of neutralization still exists, indicating that there is still a certain level of protective effect (102). Another relevant mechanism used by SARS-CoV-2 to evade humoral response is the ability of this virus to spread from cell to cell without exposure to the extracellular environment (103). This reduces the likelihood of SARS-CoV-2 detection by SARS-CoV-2-specific antibodies and therefore limits the role of humoral immunity in preventing viral spread within the host.
Cellular
Notwithstanding these considerations regarding neutralization escape, T-cell immunity against SARS-CoV-2 seems to be more robust, since SARS-CoV-2-CD4+ and CD8+ T cell responses are not substantially affected by the Alpha, Beta, Gamma and Epsilon variants of concern (B.1.429), likely because T cell responses against SARS-CoV-2 are highly multi-antigenic and multi-specific, with many different epitopes being recognized by CD4+ and CD8+ T cells in a given individual (55, 67, 104–106). Nonetheless, a T-cell response reduction to SARS-CoV-2 variants of concern Alpha, Beta, and Gamma (107) has been demonstrated in vaccinated individuals and, as assessed in COVID-19 convalescent patients and vaccinated individuals, two SARS-CoV-2-spike mutations in the Delta (B.1.617.2) and the Delta plus (AY.2/B.1.617.2.2) may play a crucial role in HLA recognition and in reducing cellular immune response (108). In the case of vaccinated individuals, the above mentioned effect may be due to the fact that the multi-specificity conferred by natural SARS-CoV-2 infection cannot be achieved. Furthermore, SARS-CoV-2 is able to reduce T-cell response through a mechanism mediated by infected monocytes. These can directly reduce T cell response and inhibit epithelial cell survival through the hypoxia inducible factor 1-alpha (HIF-1a)/glycolysis-dependent axis, potentially contributing to immunopathology. This may explain why elevated glucose levels in diabetic individuals enhance viral replication and cytokine expression in monocytes (109).
Nevertheless, there are scarce studies investigating the T-cell immune escape of SARS-CoV-2 variants due to the difficulty of measuring T-cell response in clinical practice compared to antibody detection assays. More research needs to be conducted on this issue in order to draw firmer conclusions.
Natural Infection With SARS-CoV-2 (COVID-19)
In natural infection, when innate immunity stimulates the adaptive response and sufficient effector T and B cells have proliferated and differentiated, they work together to rapidly and specifically eliminate infected cells and circulating virions. In an orchestrated immune response, the humoral branch alone cannot clear an ongoing infection and a cellular immune response will also be necessary. Thus, the presence of both T cells and antibodies is associated with the successful resolution of the average of cases of COVID-19 (53). T lymphocytes, the cells responsible for cell-mediated immunity, recognize the antigens present on antigen-presenting cells (APCs), and help phagocytes to destroy these microbes or to kill the infected cells. The best defined T lymphocytes are helper and cytotoxic (or cytolytic) T lymphocytes (CTLs), which present the cluster differentiation markers CD4+ and CD8+, respectively. T cells also assist B lymphocytes to proliferate and differentiate into plasma cells that secrete different classes of antibodies. This process requires a fairly well-defined time frame. In SARS-CoV-2 infection, following an incubation period of four to seven days before symptom onset, patients with COVID-19 progress towards recovery after seven to 10 days or else develop serious illness (110–112). The course of severe COVID-19 is characterised by an increased inflammatory response with a marked reduction in the number of T cells, frequently of both CD4+ and CD8+ T cells (113–116). In addition, symptomatic SARS-CoV-2 infection tends to elicit a higher peripheral blood T cell response with respect to asymptomatic infection (117, 118).The reduced frequencies of peripheral T cells during acute infection are likely to be associated with decreased CD4+ T cell proliferation and CD8+ T cell hyperactivation with T cell migration into the lungs (119). However, Liao L. et al. (120) have observed an increase of T cells in bronchoalveolar lavage fluids in mild patients but not in severe patients, suggesting a difference in T cell migration into the lungs in severe patients (120–122).
Meanwhile, arguments supporting the role of cellular immunity in the control of primary SARS-CoV-2 infection are supported by the fact that neutralizing antibody titers do not correlate with lessened disease severity in primary COVID-19 (123–125). Unlike neutralizing antibodies, SARS-CoV-2-specific CD4+ and CD8+ T cells were found to be associated with reduced disease severity in the same individuals (124). In agreement with these findings, there are reports of healthy individuals successfully controlling a SARS-CoV-2 infection with little to no neutralizing (or receptor binding domain -RBD- IgG) antibodies detectable post-infection, while having significant SARS-CoV-2-specific T cell memory (67, 68, 124, 126). On the other hand, neutralizing antibody titers (and total spike antibody titers) have indeed been positively correlated with COVID-19 disease severity (58, 127–129), possibly indicating that under normal conditions the adaptive immune response works in strict balance, but when one arm becomes unbalanced the other tries to compensate. Thus, a defect in the cellular response would cause a greater humoral response to correct this deficiency. The role of cellular response has also become evident in patients with agammaglobulinemia and no circulating B cells who have fully recovered from infection (130, 131) and subjects with pharmaceutical depletion of B cells who resolved COVID-19 infection without requiring intensive care (132–136). Moreover, in patients with haematological malignancy, CD8+ T cells appear to compensate for the lack of humoral immunity and were associated with improved outcomes, indicating a role for T cells in protection against SARS-CoV-2 infection (137).
CD4+ T cell responses to pathogens are divided into three major types: Th1, Th2, and Th17. Th1 immune response, which is characterized by T-bet-dependent responses and IFN-γ secretion, is generated against intracellular pathogens including viruses. In the Th1 response, pathogen clearance is mediated through effector cells including innate lymphoid cells 1 (ILC1), NK cells, and cytotoxic T lymphocytes (138–140). During SARS-CoV-2 acute infection, patients display a proliferation of IFN-γ-producing Th1 (IFN-γ, IL-12, IL-15, IL-2 and TNF) cells and it has been suggested that this Th1 cell-biased phenotype is associated with less severe disease (54, 141). In patients with moderate disease, the core COVID-19 inflammatory cytokine signature with IL-1a, IL-1b, IL-17A, and IFN-α observed in the first 10 days from symptom onset declined steadily (142) and the same happens with the innate cytokine IL-12, a key inducer of Th1 immune response, as well as IFN-γ (142). Early induction of IFN-γ-secreting SARS-CoV-2-specific T cells with accelerated viral clearance is present in these patients with mild disease (125) Figure 1.
Figure 1 Cellular immune response in Mild COVID-19. In mild COVID-19, there is an early induction of the Th1 cell-biased phenotype with IFN-γ secreting SARS-CoV-2-specific T cells. In turn, SARS-CoV-2-specific CD8+ T cells perform rapid responses, acting as CTLs, secreting cytotoxic granules and high levels of IFN-γ. Moreover, activated Tfh cells in the draining lymph nodes activate the naïve B cells that are necessary for the development of long-lived plasma cells and memory B cells. Cellular immune response in Severe COVID-19. During a severe course of COVID-19, there are reduced numbers and functions of DCs, leading to decreased numbers of CD4+ T cells. In this case, an elevation of Th2 phenotype and/or a dysregulation of the Treg/Th17 cell ratio toward the Th17 phenotype can be seen. Furthermore, decreased numbers of CD8+ T cells with an exhausted phenotype results in reduced CTL functionality while the T cell-mediated activation of B cells in extrafollicular focus induces their differentiation into short-lived plasma cells.
The effector cells of CD8+ lineage are CTLs, whose major function is to eliminate cells harboring viruses. SARS-CoV-2 CD8+ T cells are specific for a range of SARS-CoV-2 antigens, and spike, nucleocapsid, M, and ORF3a proteins are well represented (53, 56, 67, 126, 143, 144). CD8+ CTLs eliminate intracellular microbes mainly by killing infected cells by releasing cytotoxic proteins stored within cytoplasmic granules to the target cell and subsequently triggering cellular apoptosis. In acute COVID-19, SARS-CoV-2-specific CD8+ T cells exhibit high levels of IFN-γ, granzyme B, perforin, and CD107a molecules, some of which are present in the cytotoxic granules and are associated with potent cytotoxic effector functions (68, 124, 126, 145), developing fast CD8+ T cell responses (124). Patients with milder disease and recovery have been associated with a more robust clonal expansion of CD8+ T cells in peripheral blood (146). These findings would explain why, in SARS-CoV-2 infections, the presence of virus-specific CD8+ T cells has been associated with better COVID-19 outcomes (124, 144). Taken together, these observations suggest that cytotoxic activity is critical for the clearance of many viral infections and is therefore also important for the eradication of the infection reservoir. As with peripheral blood results, there is also an increase in SARS-CoV-2-specific CD8+ T cells in the respiratory tract of moderate COVID-19, as demonstrated in bronchoalveolar lavage fluid collected from COVID-19 patients. Bronchoalveolar lavage fluid CD8+ T cells showed clonal expansion, suggesting T cell migration to the infected site resulting in the overall peripheral counts (147).
The role of T folicular helper (Tfh) cells at germinal centers in the development of a long-lasting, high-affinity antibody response is well known (148, 149). In T cell-dependent immune responses, T cells are important in the formation of an extrafollicular focus, in which B cells proliferate and differentiate into plasma cells, most of which are short-lived. The activation of T cells in the extrafollicular focus will cause some of them to develop into Tfh cells and migrate into the germinal centers, where they perform their functions, which are necessary for the development of both the bone marrow resident plasma cells and the memory B cells that enter in the recirculating lymphocyte pool (150, 151). Importantly, it appears that the germinal center reaction in humans after vaccination persists over a longer period (152–154). Evidence suggesting that the above described process is indeed what occurs following SARS-CoV-2 infection have been provided by Mudd PA et al. (155) given that a high-magnitude, SARS-CoV-2-specific CD4+ T cell response in the draining lymph nodes is present during the development of high-titer neutralizing antibody responses in the setting of COVID-19 mRNA vaccination. The fact that CD4+ T cells in this type of response provide help to B cells for the production of antibodies has been demonstrated in other situations. For example, individuals with uncontrolled HIV and extremely low CD4+ T cell counts during vaccination lack seroconversion (156), and this has also been observed in patients subjected to T cell-focused immunosuppressive regimens following solid organ transplantation who received a standard two-dose BNT162b2 regimen (157). Overall, there is direct and indirect evidence of the need for a robust T response for the generation of high-titer neutralizing antibody responses following COVID-19 infection or mRNA vaccination. However, a lower quality and lack of durability of humoral response has been observed during natural SARS-CoV-2 infection. Thus, although there is evidence of a robust T-cell-mediated activation of B cells in the non-germinal-center, this may be due to a loss of germinal centers through a specific block of germinal center type B cell-lymphoma 6 (Bcl-6)+ T follicular helper cell differentiation (158) Figure 1. This may compromise the early development of the high-affinity antibodies that could contribute to a certain attenuation of viral spread. Moreover, in COVID-19 patients, the relationship between plasmablasts and activated Tfh is weak, even though these individuals have a robust plasmablast response (114). At least part of the plasmablast response may be through activated (CD38+HLA-DR+) CD4+ T cells, which might play a role in providing B cell help as a part of an extrafollicular response (114).
Relation of Cellular Components With Disease Severity
As mentioned above, an immune response properly coordinated in time between the different components of innate and adaptive immunity is essential for it to be successful. In fact, if the adaptive immune response starts too late, fatal COVID-19 develops, defined as a situation in which the viral load is high (159).
IFN-γ has already been discussed as a cytokine secreted by CD4+ Th1 cells, but it is also secreted by differentiated CTLs. It contributes to classical macrophage activation and inflammation in the host’s defense and in hypersensitivity reactions. It is likely that both CD4+ Th1 cells and CD8+ T cells contribute to the IFN-γ–induced phagocytic clearance of ingested microbes. These functions would explain the beneficial effect of rapid IFN-γ secretion in response to an infectious process. Thus, Zheng M. et al. (160) reported the secretion of IFN-γ by both CD8+ T cells and CD4+ Th1 cells under conditions of severe COVID-19 disease. Therefore, a poor T cell response contributes to SARS-CoV-2 viral persistence and COVID-19 mortality, whereas strong T cell responses are protective in the majority of individuals. As seen in SARS-CoV-2 infection in non-human primate models, the deletion of CD8+ T cells impairs this protection (161).Thus, human individuals with higher levels of IFN-γ secreting T cells (measured by enzyme-linked immunosorbent spot assay) against the SARS-CoV-2 S protein, nuclear proteins, and membrane proteins have a better protection against the virus (162), while a CD4+ T cell IFN-γ expression decrease has been reported in severe SARS-CoV-2 infection peripheral blood samples, and the T cells of these patients seemed to be unable to produce IFN-γ in response to viral proteins (163).
Patients with severe COVID-19 have marked reductions in the number and frequency of both CD4+ and CD8+ T cells, but increased activation of T cells (142, 145). Specifically, in an autopsy report, low levels of hyperactive T-cells in peripheral blood and an accumulation of mononuclear cells in the lungs of the individual were observed (164). In addition, the high proportion of M/NP-specific CD8+ T cell responses compared to the spike-specific CD4+ T cell response seen in mild disease is not found in severe disease (144). In fact, the percentages and absolute numbers of CD8+ T cells in severe disease were significantly reduced (163). This finding could suggest a protective role of CD8+ T-cell response in mild disease or a pathogenic role of the CD4+ T-cell response in severe disease (144). The same applies in the case of ICU (intensive care unit) patients: total T-cell, CD4+ and CD8+ T-cell counts in peripheral blood were significantly lower than in non-ICU COVID-19 cases, and the counts correlated negatively with patient survival (165). Some authors have observed an increased expression of the inhibitory receptor NKG2A, suggesting a decrease in CD8+ T cell functionality (160). NKG2A expression is upregulated on NK cells and CTLs in COVID-19 patients, with a decreased capacity to produce CD107a, IFN-γ, IL-2, granzyme B and TNF-α., which suggests functional exhaustion of cytotoxic lymphocytes in COVID-19 patients (160). The upregulation of NKG2A expression may be a consequence of and to compensate for the hyperactivation of CD8+ T cells in the severe stage of COVID-19.
There is a cellular subset composed mainly of mucosal-associated invariant T (MAIT) cells, the CD161+ CD8+ T cells which undergoes a strong reduction in frequency in individuals with severe COVID-19 (145). During viral infections, MAIT cells can become activated and migrate to infection sites (166, 167). The sharp decline in circulating MAIT cells in severe COVID-19 patients correlates with their presence in the airways of the patients (168). The reduction of this population in peripheral blood is likely to be indicative of sequestration in the lungs, potentially exacerbating tissue inflammation.
During many acute viral infections, the period of peak T-cell responses and plasmablast detection in peripheral blood is relatively short (169–171). However, there is a subgroup of COVID-19 disease patients with an over-aggressive immune response and/or a “cytokine storm” (172) due perhaps to a failure to regulate responses or a prolonged period of peak immune responses because there is a stability over time of CD8+ and CD4+ T-cell activation and plasmablast response (114). There has been speculation on possible causes for the well-known cytopenia occurring in COVID-19. One of these causes may be related to the recruitment of T cells to infected lung tissues to control viral infection (173). Another cause might be the apoptosis or necrosis of T cells caused by the cytokine storm that occurs in severe cases of COVID-19 (174). The severity of the disease also correlates with cytokine levels and these patients secrete higher levels of IL-6 and IL-10 (175). Thus, in ICU patients a further increase in IL-6 and IL-10 plus TNF-α (165) has been observed and has also been found to be higher in the bronchoalveolar lavage fluid of deceased patients than in those who survive IL-6 (120). The increase in TNF-α may explain why antibody levels correlate with disease severity, since this cytokine secreted by CD4+ T cells serves as a co-stimulatory signal for B cells. Furthermore, the expansion of plasma cells in severe disease has been associated with large and oligoclonal B cell expansions (145).
The significant lymphopenia that COVID-19 patients present in the acute and severe phase is associated with a lower number and the functional impairment of dendritic cells (DCs), which are fundamental in T-cell antigenic presentation, compared to mild patients (119, 145, 176), and those cells are significantly decreased in fatal cases compared to survivors (177). Plasmacytoid DCs (pDCs), which is responsible for the production of the type I IFNs involved in virus defense, were also mainly reduced in abundance and impaired in function in severe COVID-19 patients (145). In fact, during COVID-19 infection, the rapid loss of DCs numbers and function may contribute to delayed T cell responses and the features of low level IFN-I/IFN-III (178).
This would partially explain the correlation of a fatal disease course with the age of the patients since we should not forget the process known as “immunosenescence”, which features a reduction in the ability to fight novel infection (179) and a reduced abundance of DCs in elderly patients (180). Thus, the presence of an immunosenescent phenotype, demonstrated by an elevated neutrophils-to-lymphocytes ratio, was found in severe COVID-19 patients but not in mild disease (181).
Furthermore, patients with severe fatal disease up to 10 days from the onset of symptoms have a excessive hyperactivation of the immune function, demonstrated by significantly increased HLA-DR expression and IFN-γ synthesis. In fact, a robust T cell response in critical patients may contribute to hyperreactivity and immunophatogenesis (182). Moreover, the proportion of T regulatory (Treg) lymphocytes increases significantly in this phase, which negatively regulates immune response (112). As discussed previously, the Th1 cell-biased phenotype is associated with less severe disease (54, 141), but patients with SARS-CoV-2-induced acute respiratory distress syndrome (ARDS) often tend to have a Th1:Th2 ratio weighted towards the Th2 type, leading to substantial lung tissue damage (183, 184). In addition, a broad elevation of Th1, Th2 and Th17 signatures, including inflammasome-dependent cytokines such as IL-1b, IL-18 and Th2 and Th17 cytokines has been identified in patients with severe COVID-19 (142). Th2 and Th17 immunity depend on the transcription factors GATA-3 and RORγt, respectively, and the predominant response is driven by (IL-4, IL-5, IL-13) and (IL-17, IL-22) respectively (138–140). Also, dysregulation of the Treg/Th17 cell ratio toward the Th17 phenotype is an important contributor to disease severity. IL-17 secreted during SARS-CoV-2 infection can promote migration of neutrophils and monocytes into the pulmonary interstitium resulting in its consequent inflammation, as well as the activation of other cytokine cascades (G-CSF, TNFα, IL-1β and IL-6), which contribute to aggravating this inflammation and tissue damage (185). Thus, patients with severe COVID-19 showed a markedly high number of CCR6+ Th17 cells in peripheral blood (164), even though not all patients with severe COVID-19 have increased IL-17 expression (163). These data suggest that the dysregulation of Th polarization occurs in severe COVID-19 and a bias towards this type of Th response might define the disease course Figure 1.
Whether or not infection and hyperactivation persist, the immune system eventually enters an anergy state in which the number of lymphocytes (including T and B lymphocytes), NK cells and DCs continues decreasing in patients with a fatal outcome. CD4+ T cell function is impaired, as evidenced by decreased activating receptors and an increased expression of CD45RA and CD28 (112). Thus, deceased patients have lower frequencies of HLA-DR+ and IFN-γ-secreting cells within CD4+ and CD8+ T cells than survivors (186, 187).
Another important factor to be taken into account during any maintained immune response is a phenomenon called exhaustion, which is observed, for example, in some chronic viral infections when CTL effector responses gradually extinguish over time (188). Exhausted cells express increased levels of multiple inhibitory receptors, notably programmed cell death-1 (PD-1), since the programmed cell death-ligand 1 (PD-L1)/PD-1 immune checkpoint axis is the strongest T cell exhaustion inducer, alongside cytotoxic T lymphocyte-associated protein 4 (CTLA-4), T cell immunoglobulin mucin-3 (TIM-3), lymphocyte activation gene-3 (LAG-3), and others. It has been reported that increased T cell exhaustion, observed by the high level expression of PD-1 and TIM-3 (165) induced by IL-10 (189) and decreased functional diversity correlates with the degree of disease severity in patients with COVID-19 (190). In particular, Kreutmair S. et al. (191) showed that CD4+ T cells increased PD-1 expression during the first days following hospital admission and then normalized in moderate patients but remained elevated in severe disease (191). Likewise, as in memory CD4+ T cells, the frequency of PD-1 expressing cells were reported to be higher after one month in recovered patients with severe COVID-19, and correlated with the age of the patient (145). However, Rha M.S. et al. (192) reported that SARS-CoV-2-specific CD8+ T cells expressing PD-1 were found not to be exhausted but functional. This is explained by the fact that PD-1 is expressed on exhausted T cells but is also expressed on recently activated T cells (193–196) and the persistence of antigen encounter results in the maintenance of PD-1 expression, leading to exhausted T cells (197). PD-1 expression in the peripheral blood of COVID-19 patients is also increased in the exhaustion of other T cell subsets such as γδ T, mucosa-associated invariant T and invariant NKT cells which, in agreement with their exhausted phenotype, produce less IFN-γ than cells from healthy donors (168). Also, the T cells of ICU patients expressed increased PD-1 in bronchoalveolar lavage fluid as compared to peripheral blood T cells (198).
Regarding ligand PD-L1, both soluble and membrane-bound PD-L1 increased levels are associated with the degree of severity in COVID-19 (199–201). PD-L1/PD-1 overexpression in the white adipose tissue of obese individuals during IFN-γ secretion, which leads to the dysfunction of T cells and especially to a reduction in cytotoxic activity, explains why SARS-CoV-2 infection can worsen disease in obese individuals (202). Overall, we can outline that T cells of COVID-19 patients display a higher expression of PD-1 and that this elevated expression is correlated with disease severity, but whether or not PD-1 expressing T cells in COVID-19 are functional needs to be investigated further. To assess exhaustion, it will be important to take into account not only the expression of PD-1, but other exhaustion markers and the time since a particular cell has encountered the antigen in order to differentiate an exhausted cell from a recently activated cell.
In the resolution of inflammation when the virus is eliminated, both adaptive regulatory cells, such as regulatory T and B cells and innate immune cells, such as macrophages and regulatory DCs, also contribute (203). In recovered patients, the number of peripheral blood lymphocytes gradually increases (186, 187) with a marked high frequency of spike specific CD4+ T cell response (53, 126, 144), while the effector function of T cells is not compromised (204). Two to four months after SARS-CoV-2 infection resolution, most of the components of cellular immunity return to normality (204), though with significant increases in regulatory T cell frequencies and TIM-3 expression on CD4+ and CD8+ T cells, while the cytotoxicity of T cells is significantly diminished (204). However, this immune response reversion is slower and the virus clearance time is prolonged in some critically ill patients even after entering the recovery stage (112).
Balance Between Innate and Adaptive Immunity
The first contact with pathogens is established by the host innate immune system. It is noteworthy that the innate immune system is indeed capable of eliminating some infections on its own, particularly when the infection is localized and caused by a low number of pathogens. But innate immunity is not sufficient to protect us fully from infectious diseases, in part because, as discussed earlier, many pathogens have features that allow them to evade innate immune responses. At this early stage, the innate cytokine IL-12 has been shown to stimulate the differentiation of naive CD8+ T cells into effector CTLs and it is involved in the differentiation of CD4+ T cells into Th1 cells, both contributing to the IFN-γ–induced phagocytic clearance of ingested microbes. However, in some circumstances, the innate immune response seeks to fill the gap left by the absence of a T cell response, attempting to assume t control of the immune response against the virus with an ever-expanding innate immunity activation. Following this thread, there are many studies that have identified innate cytokine/chemokine signatures of immunopathology (145, 205–209). The most common observation in this line is an elevated frequency of neutrophils in blood (145) and massive numbers of neutrophils in the lungs, both of which are associated with severe, end-stage COVID-19 disease (147, 206–208), as well as the cytokine storm (172). In severe COVID-19 patients, IL-12 and IFN-γ increased over time; however, T cell depletion was detected in these patients and the remaining T cells did not produce larger amounts of IFN-γ (142). This suggests that the secretion of IFN-γ by innate cells, such as ILCs and NK cells, or resident T cells in tissues were the primary contributors to the enhancement of the IL-12 and IFN-γ cytokine levels observed in severe patients.
The other finding reported is the role that the sex of the patient plays in the type of predominant immune response. It has been shown that male patients have higher plasma levels of innate immune cytokines, including IL-8 and IL-18, along with activated non-classical monocytes. In contrast, female patients seem to generate a more robust T cell activation during SARS-CoV-2 infection. A poor T cell response might be responsible for the worse outcomes observed in male patients, while in female patients, higher levels of cytokines related to innate immune response appear to be associated with worse disease evolution (210).
A recently published study in mice suggests that specific T cell and antibody responses develop independently of SARS-CoV-2 detection by some of the pattern recognition receptors (PRRs) of the innate immunity system: TLR2-5 and TLR7, STING-cGAS, NLRP3 (inflammasome activation), as well as RIP3 kinase (mediator of nedroptosis) and gasdermin D (mediator of pyroptosis). On the other hand, these specific T cell responses, mainly featuring CD8+ T cells, are affected by the altered recognition of SARS-CoV-2 by the MDA5-IFNAR1 signalling pathways (211). Airway epithelial cells from children appear to show an increased expression of MDA5 compared to its expression level in SARS-CoV-2 positive adult epithelial cells (212). Consistent with this, we found several studies showing that children eliminate SARS-CoV-2 faster than adults, probably by detaining viral replication earlier (213–216).
In general terms, we have sought to emphasize that a balance between the innate and the adaptive immune response is paramount for a favourable evolution and resolution of COVID-19 disease and its imbalance has detrimental consequences, including the inability to configure a competent adaptive response or the overactivation of the innate immune system which results in a cytokine storm.
Immune Memory
The balance between naïve and memory T cells is crucial for infection control. Naïve T cells are responsible for primary infection response and memory T cells promote antigen-specific immune responses, being able to protect the host from re-infection with the same pathogen. Immune memory against SARS-CoV-2 correlates positively with patient disease severity during acute phase infection, both in humoral and cellular response (217). Thus, it has been shown that memory B cells percentages among hospitalized cases were significantly higher than among non-hospitalized cases following infection (218).
There are some studies that report relatively stable humoral immunity for up to 6-12 moths post-infection (217–221) and Zhang J. et al. (217) described the detection of neutralizing antibodies in convalescent COVID-19 patients even at 12 months following symptoms onset. However, further studies show a clear decline of SARS-CoV-2 neutralizing antibodies in the first months after infection (222–224), along with a progressive decline in total antibody levels eight months after SARS-CoV-2 infection (218, 225). These inconsistencies in the results of humoral immunity longevity may be due to variations between the studied cohorts and the use of different techniques or distinct antibody-detection epitopes in the assays.
In a longitudinal study, Rodda L.B. et al. (226) detected memory T cells, which secrete IFN-γ and are able to clonally expand following SARS-CoV-2-antigen re-exposure, at least three months after disease onset. Further investigations have detected maintained SARS-CoV-2-specific memory T cell responses in COVID-19 convalescent patients at least 7-12 months after infection (217, 221, 227) and this has been found to be true regardless of disease severity (227). Considering immune memory at the tissue level, SARS-CoV-2-specific lung resident memory T cell can be detected at least 10 months following infection (228). Lung resident memory T cells may be key players in limiting the severity of COVID-19 or the potential for reinfection. In this regard, it has been described that a higher number of these resident memory T cells in the lungs corresponds with a higher degree of clinical protection (229).
Therefore, both B and T memory cells exhibit robust memory response (225), indicating that, in the event of a re-encounter with SARS-CoV-2, the levels of total and neutralizing antibodies and effector T cells necessary to respond efficiently to infection might be rapidly recovered. In fact, B and T cell memory functional responses to SARS-CoV-2 are still detectable 12 months after natural infection (230).
Immune Memory Phenotypes
Individuals who have undergone mild symptomatic SARS-CoV-2 infection show, after a few months, an increase in circulating Th1 cytokine-producing CXCR5+ Tfh and CXCR5- non-Tfh cells, CD4+ CXCR3+ proliferative memory T cells and IFN-γ-producing CD8+ T cells (226). In these mild COVID-19 cases, CD8+ T memory cell responses predominate over CD4+ T memory cell responses and, additionally, the memory CD8+ T cells specific for SARS-CoV-2 M and NP proteins exhibit the highest frequency of multiple cytokine production (144). Additionally, the SARS-CoV-2-specific memory CD4+ T cells of recovered individuals have the capacity to express CXCR5, ICOS, CD40L and proliferate at spike-protein re-exposure (226). The expression of these markers and a variety of cytokines is important for T-B cells interaction (231) as they enable memory CD4+ T cells to help reactivate memory B cells and therefore start producing antibodies against SARS-CoV-2 since, as discussed above, their levels may have decreased over time. This may serve to explain why, during the memory phase, an abundance of Tfh cells correlates with antibody response (232–234).
Regarding the immune memory to SARS-CoV-2 in convalescent individuals, a number of authors have underlined the contribution of a subtype of terminally differentiated memory cells: the terminally differentiated effector memory T cells re-expressing marker CD45-RA (TEMRA). TEMRA have generally been associated with protection against viral infection (22, 235–238). During the memory phase following SARS-CoV-2 infection, a high prevalence (218, 227) and a progressive enrichment of the TEMRA phenotype and T stem cell memory (TSCM) phenotype in SARS-CoV-2-specific CD8+ T cells (239) has been described. The same authors postulate that the differentiation towards one phenotype or the other might be associated with disease severity with a bias towards TSCM in mild disease and increased TEMRA in severe disease. In agreement with previous studies that highlight the role of type I IFN in memory development (240), Adamo S. et al. (239) reported an expression enrichment of the genes involved in IFN signaling pathways in SARS-CoV2-specific memory CD8+ T cells. Thus, type I IFN signaling might be a key driver directing cells to become long-lived memory cells. While it has already been mentioned that TEMRA cells are associated with protection against viruses, it has also been shown that they can accumulate during chronic viral infections (241). In Long COVID syndrome, when compared to COVID-19 convalescent individuals, an increase in CD8+ T effector memory (TEM) and CD8+ TEMRA cell number, accompanied by a decrease in their functional activity, has been reported (242).
The success of long-term memory T cells depends on the generation of TSCM cells (243) since they have a higher self-renewal ability and are multipotent cells, being able to reconstitute several memory phenotypes (244). T cell memory developed during SARS-CoV-2 infection may be long-lasting since COVID-19 convalescent patients develop SARS-CoV-2-specific TSCM cells (192, 227, 239). Cohen K.W. et al. (245) defined most SARS-CoV-2 CD4+ T cells as displaying a central memory profile. Furthermore, Gurevich M. et al. (221) reported the presence of IL-2-secreting and IFN-γ+IL-2-secreting SARS-CoV-2-specific central memory T cells that might be long-lasting memory phenotypes in accordance with previous studies (246). There are two different subsets of CCR7+ stem cell-like progenitors: CCR7+PD-1−TIGIT− cells are observed to display stem cell-like features, whereas CCR7+PD-1+TIGIT+ cells seem to exhibit exhausted traits (192, 247). SARS-CoV-2-specific TSCM cells rarely express PD-1 and TIGIT, making them non-exhausted-like progenitors but functional memory T cells (227).
Vaccination
A good adaptive immune response and immune memory are vital to the success of vaccines and the achievement of a low degree of reinfection. When studying natural immunity to the virus, including the role of SARS-CoV-2 specific T cells, it is critical to fill in the current gaps in our knowledge for improved vaccine design. The generation of a robust cellular immune response is a desirable attribute for a vaccine against SARS-CoV-2 because, as we have referred to throughout this report, following natural infection, t T-cell response is activated rapidly to control disease progression (53, 55, 144, 248), and these virus-specific T-cell response have been shown to be associated with milder disease in COVID-19 patients (126).
mRNA vaccination leads to the development of both humoral and cellular immunity against the Covid-19 spike protein (249, 250) Figure 2. The onset of protection for mRNA vaccines has been observed as early as 10-12 days after the first dose (251) and during this phase T cells and spike-specific antibodies are detectable (250, 252) but neutralizing antibodies do not appear until after the second vaccine dose (253–256). In fact, the presence of anti-S reactive T cells secreting IFN-γ or IL-2 is remarkable as early as three days post-vaccination, but it is not until 14 days after completing the vaccination schedule that they reach their maximum levels (121). The development of humoral responses is gradual and they only consistently reach peak levels after the second vaccination dose (257, 258). In fact, the highest frequencies of spike-binding germinal centre B cells and plasmablasts in draining lymph nodes were reached at twelve weeks after the second immunization (152). However, the natural course of humoral immunity is to decrease over time, with reductions in neutralizing antibody titers (259, 260). At three months post-vaccination, the neutralization capacity was significantly decreased, in agreement with lower S-RBD antibody levels (261) in all variants described to date, from Alpha to Omicron (260). This may, feasibly, be due to the fact that not all vaccine-induced plasmablasts commit or are maintained as long-lived memory plasma cells (123, 262, 263). However, these reductions do not necessarily correspond to proportional reductions in vaccine efficacy over time, and neither do reductions in vaccine efficacy against mild disease necessarily predict reductions in efficacy against severe disease. This may be because protection against severe disease is mediated not only by antibody response, which might be relatively short lived for some vaccines, but also by cell-mediated immunity and memory responses, which are generally longer lived (152). In fact, memory humoral and cellular responses are still detectable in vaccinated individuals who have not undergone COVID-19, and in those who have recovered from COVID-19, eight months after vaccination, despite a progressive decline in antibody levels (230). At six months, although vaccinated individuals show a decreased level of anti-S IgG, all of them present cell-mediated immune responses. The decrease in antibody titers is apparently compensated by an increased neutralization capacity and a robust cellular immune response, which is reflected by a high level of IFN-γ synthesis by the stimulated T-cells (264). In mice, the primary source of serum IFN-γ one day after secondary immunization are CD4+ and CD8+ T cells, which results in improved myeloid cell activation after secondary immunization (211). Given all of the information mentioned above, the assessment of humoral immune response as determined by the measurement of antibodies against the receptor-binding domain of the spike protein after vaccination underestimates the immunogenicity of SARS-CoV-2 vaccines and a combined analysis of humoral and cellular immunity was proposed for the identification of vaccine responders (265).
Figure 2 Parameters to be assessed regarding humoral and cellular response to SARS-CoV-2 mRNA vaccine. The top and middle figure outline the immunological response achieved after the first and second doses of mRNA vaccines, respectively. The bottom figure summarizes the parameters needed to assess protection against SARS-CoV-2.
The type of response that vaccines should trigger must always be Th1 cell response or balanced T-cell responses, because when the response is Th2 cell, it has been associated with enhanced respiratory disease (266–270). Moreover, we have looked at how T cells also play a critical role in B-cell maturation and therefore the induction of a strong and durable antibody response (150). In most of the current COVID-19 vaccines that have reported clinical trial results, the induction of cellular response in humans has a Th1 bias and/or is characterized by IFN-γ expression and appears to be substantially protective against severe disease in all the major viral variants (271). Thus, in a longitudinal study, Painter M. M. et al. (250) show that mRNA vaccines induce Th1 and Tfh cell responses following the first dose, correlated with post-boost CD8+T cells and neutralizing antibodies, respectively, which is expected since Th1 cells predominantly facilitate CD8+ T cell response, while Tfh cells help promote optimal B cell, germinal center, and antibody responses (150, 272–274). At three months, 87% of vaccinated individuals developed either CD4+ or CD8+ T cell responses (261) but after the first dose, in subjects who had no previous contact with SARS-CoV-2, vaccination induced rapid and robust SARS-CoV-2-specific CD4+ T cell responses compared with CD8+T cell responses, which developed gradually and were variable in magnitude (250). However, other authors observed a robust, stable and fully functional response of Spike-specific CD8 T cells after primary vaccination (275). Differences in cohort or methodology may have affected the discrepancy in these findings, but these observations indicate that SARS-CoV-2-specific CD4+ T cells are largely contributors to the protection observed early after the first vaccine dose (251, 276).
CD4+ T cell responses were detected after immunization with ChAdOx-1 S, Ad26.COV2.S, mRNA-1273 or BNT162b2 vaccines, and did not show significant differences between the different variants of concern, including the Omicron variant (143). One or two doses of vaccine elicited a persistent and robust cellular immune memory response even when vaccinated individuals had been infected previously (277–279), with an homogeneity in the magnitude (264). Although previous infected individuals had similar frequencies of vaccine-induced CD4+ T cells as non-infected individuals, the former produced greater IFN-γ following spike-stimulation (230) In addition, T cell reactivity following vaccination or natural infection proved to be similar across early strains (Alpha, Beta and Gamma) given that 93% and 97% of CD4 and CD8 epitopes are 100% conserved across these variants, potentially reducing the severity of COVID-19 if a progression of infection occurs, even though neutralizing antibodies for emerging variants might be reduced in comparison with the original strain of SARS-CoV-2 (280). The same applies to the latest variants, since SARS-CoV-2 vaccination induces immunological CD4+ and CD8+ T cell memory able to cross-recognize variants from Alpha to Omicron (281). Furthermore, CD4+ and CD8+ SARS-CoV-2 spike-specific T cell responses triggered by prior infection with the original strain or BNT 162b2 vaccination, remain largely intact against the Omicron strain (282). This is due to the fact that the vast majority of T cell epitopes are fully conserved (279–281, 283–286), which suggests that the continued evolution of variants has not been associated with increased viral escape from T cell responses at the population level, and HLA binding of the mutated epitopes has been well conserved for the majority of the epitopes in Alpha to Omicron variants (281). Furthermore, it has been proposed that the phenotype of memory and the helper subset distribution of SARS-CoV-2-specific CD4+ and CD8+ T cells responses elicited by second dose vaccine are similar to the ones detected in individuals who have gone through a natural SARS-CoV-2 infection (250).
The effect of the booster dose (a third vaccination dose) is different in naïve individuals than in recovered COVID-19 individuals. In naïve individuals, this booster significantly increased the levels of spike-specific antibodies and B and CD4+ T cells, while in recovered COVID-19 individuals, the booster dose has minor effects (230), in line with what was observed for the second vaccine dose (249, 250). Moreover, the second vaccine dose in individuals who have undergone symptomatic infection with SARS-CoV-2 is associated with lower neutralizing antibody levels, in addition to T and B cell spike-specific frequencies, which suggests that a vaccine over-boost strategy may lead to anergy and exhaustion (249, 257). It is important to differentiate between the immune response driven by the spike protein vaccine and the response resulting from SARS-CoV-2 infection, where the innate immune response triggers the adaptive immune response, and many more elements come into play in a much more complex process. In addition, the effect of repeated doses on overactivation and the role played in its regulatory mechanisms, as well as the appearance of exhausted cells, merits further study.
Age is an important factor influencing vaccine responses, and there have been studies that report elderly people responding poorly to influenza, Hepatitis A and B, and pneumococcal vaccines as they develop lower antibody levels and weaker cell-mediated responses (287). Immunosenescense is likely to affect the vaccine response to SARS-CoV-2, as spike-specific IFN-γ T cell responses to vaccines were impaired in the age group over 80 years (288, 289) and individuals with a higher number of immunosenescent CD8+ TEMRA cells have lower spike-specific CD4+ T cell responses (261). For example, a study of COVID-19-naïve nursing-home residents found that both humoral and cellular responses declined after four weeks and remained lower than those of healthcare workers after 24 weeks (290). These data emphasize the need for additional measures for the fragile elderly population.
Considering this information, to ensure that responses mediated by antibodies with neutralizing capacity are complemented by T cell responses, an alternative parallel strategy in vaccine generation should involve the inclusion of additional antigens and T cell epitopes. This needs to be taken into account since early functional T cells specific to SARS-CoV-2- have a prognostic value with important implications for vaccine design and immune monitoring (125).
Discussion
SARS-CoV-2, the coronavirus responsible for the last global pandemic, which originated in December 2019, is the causative agent of the disease called COVID-19. The existence of cross-reactivity between the immunity created by the common cold coronaviruses and SARS-CoV-2 has not avoided infection but may have possibly reduced the severity of the disease in some individuals. SARS-CoV-2, like other viruses, has evolved immune evasion mechanisms. In fact, multiple evasion mechanisms have been observed at the level of innate and adaptive humoral immune response; however, the evasion mechanisms involved in cellular response, although existing, require further study.
SARS-CoV-2 infection triggers a potent immune response that directs CD4+ T cellular adaptive response towards Th1 polarization and an activation of CD8+ CTLs, both IFN-γ producers, as well as an antibody-producing humoral response. Different mechanisms cause an imbalance in this response, leading to an overactivation of the innate immune system and resulting in a cytokine storm, together with a hyperactivation of the adaptive immune response that will consequently cause an exhaustion of the latter. The fundamental role played by cellular immunity as the main axis of the immune response against SARS-CoV-2, directing the different components involved, such as the innate response and the humoral response, is evidenced throughout this review.
Many efforts are being made during this pandemic to avoid both primoinfections and reinfections, using massive vaccination strategies. Both natural infection and vaccines produce long-term memory T cells, CD4+ and CD78+, which would protect the population particularly by avoiding severe infections and being associated with a better prognosis. Even so, the immunity provided by vaccination is more limited than the one provided by natural infection. This is because the immune response in vaccination is limited to the spike protein, which affects the variety of the T cell response and, notably, CD8+ T cell memory, which seems to be associated with a better prognosis in the case of non-spike-specific CD8+ T cells. Thus, a future vaccination strategy should include antigens, which are also important for the cellular response, to fill in these gaps.
A successful vaccination strategy requires knowledge of the previous immunity of the individual to SARS-CoV-2 since the cellular immune response to the vaccine is different in naïve individuals and in those who have been previously infected. In the latter, there is a faster and more robust response, which is already detectable with the first vaccine dose. The different studies performed to date make it possible to reach some conclusions concerning the role of cell-mediated immunity in SARS-CoV-2 infection/vaccination (Table 1). Hopefully, in the future, the analysis of cellular immunological memory generated by a previous infection or by vaccination will provide us with the tools required to fight against future variants of SARS-CoV-2 in terms of infection control, as well as future revaccination programs.
Table 1 Up-to-date key concepts to consider regarding natural infection or vaccination immunity against SARS-CoV-2.
Author Contributions
EM and EL-P contributed to the conception and design of the article, the interpretation of the relevant literature, and the writing of the manuscript and prepared the figures. PD contributed to the critical revision of the article for intellectual content and funding acquisition. All authors contributed to the article and approved the submitted version.
Funding
This work was partially supported by the grant COV20/00070 (to PD), Instituto de Salud Carlos III, Madrid, Spain. PD is supported by a grant from the Programa de Intensificación de Investigadores (INT19/00036)-ISCIII.
Conflict of Interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Publisher’s Note
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Keywords: SARS-CoV-2, cellular immunity, vaccine, COVID-19, helper T cells, cytotoxic T lymphocytes, severity, evasion
Citation: Moga E, Lynton-Pons E and Domingo P (2022) The Robustness of Cellular Immunity Determines the Fate of SARS-CoV-2 Infection. Front. Immunol. 13:904686. doi: 10.3389/fimmu.2022.904686
Received: 25 March 2022; Accepted: 27 May 2022;
Published: 27 June 2022.
Edited by:
Penghua Wang, University of Connecticut Health Center, United StatesReviewed by:
Emily S. J. Edwards, Monash University, AustraliaMasaaki Miyazawa, Kindai University, Japan
Copyright © 2022 Moga, Lynton-Pons and Domingo. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Esther Moga, mmoga@santpau.cat