Literature DB >> 33277181

T Cells: Warriors of SARS-CoV-2 Infection.

Paola de Candia1, Francesco Prattichizzo2, Silvia Garavelli3, Giuseppe Matarese4.   

Abstract

Severe infection with severe acute respiratory syndrome coronavirus (SARS-CoV)-2 is characterized by massive cytokine release and T cell loss. The exaggerated host immune response, incapable of viral clearance, instead aggravates respiratory distress, as well as cardiac, and/or damage to other organs. The mortality pattern of SARS-CoV-2 infection, higher in older versus younger adults and almost absent in children, is possibly caused by the effects of age and pre-existing comorbidities on innate and adaptive immunity. Here, we speculate that the abnormal and excessive immune response to SARS-CoV-2 infection partly depends on T cell immunological memory, which is more pronounced in adults compared with children, and may significantly contribute to immunopathology and massive collateral damage in coronavirus disease 2019 (COVID-19) patients.
Copyright © 2020 Elsevier Ltd. All rights reserved.

Entities:  

Year:  2020        PMID: 33277181      PMCID: PMC7664351          DOI: 10.1016/j.it.2020.11.002

Source DB:  PubMed          Journal:  Trends Immunol        ISSN: 1471-4906            Impact factor:   16.687


The COVID-19 Pandemic

SARS-CoV-2, a novel single strand RNA virus belonging to the same family as SARS-CoV and Middle East respiratory syndrome coronavirus (MERS-CoV), was identified as the cause of an outbreak of pneumonia cases starting in late December, 2019, in the city of Wuhan, China [1., 2., 3.]. Typical clinical symptoms of patients with COVID-19 are fatigue, fever, dry cough, and dyspnea (see Glossary), and the disease is mostly spread by airborne transmission, although other possible routes exist [3]. On March 11, 2020, the World Health Organization declared a COVID-19 pandemic, with alarming levels of spread and severity [4]. In the following weeks, the numbers of affected world regions and infected individuals further climbed, reaching 190 countries, with almost 49 000 000 confirmed cases and more than 1 200 000 global deaths as on November 6, 2020, according to the Coronavirus Resource Center at Johns Hopkins Universityi. Approximately 80% of SARS-CoV-2 infections are mild or asymptomatic, while the remaining cases show severe (15%, requiring oxygen) and critical (5%, requiring ventilation) pneumonia. Organ dysfunction (shock, acute cardiac and kidney injury), acute respiratory distress syndrome (ARDS), and death can occur in severe or critical cases [5., 6., 7.]. Interstitial pneumonia is frequently associated with the massive release of cytokines, the so-called cytokine storm, now recognized as a major COVID-19 pathogenic factor potentially leading to fatal outcomes [5., 6., 7.]. The rapid spread of SARS-CoV-2 is paralleled by an unprecedented global effort to accelerate the research on disease pathology and develop efficient candidate antiviral drugs and vaccines. Nonetheless, the biological mechanisms underlying the different responses to SARS-CoV-2 infection are still elusive: why do most infected people exhibit mild symptoms or are asymptomatic, while others have severe or critical outcomes? Studies to date indicate that COVID-19 pathogenesis may be dependent on an aberrant host immune response, characterized by overactive cells that are unable to efficaciously neutralize the virus, but our limited knowledge on this phenomenon has hampered our efforts to identify effective candidate therapeutic drugs. Hence, there is an urgent need to untangle the different components of the immune response (both innate and adaptive) to SARS-CoV-2 and unveil their role in COVID-19 pathogenesis. Here, we discuss the dynamics of SARS-CoV-2 T cell immunity in controlling the key balance between immune activation and its regulation, suggesting possible pathogenic mechanisms. In particular, we propose that the mortality pattern of SARS-CoV-2 infection, higher in older versus younger adults and almost absent in children, might be associated with host T cell immunological memory and innate trained immunity, both of which appear to be significantly more pronounced in older individuals.

Key Role of T Cells in the Successful Immune Responses against SARS-CoV-2 Infection

Current estimates show that approximately 80% of COVID-19 cases are mild-to-moderate, with patients fully recovering from infection [5., 6., 7.]. In previous studies, the humoral response to SARS-CoV-2 infection seemed to be ubiquitous among infected individuals and the magnitude of the anti-SARS-CoV-2 IgG titers strongly correlated with the breadth of circulating virus-specific CD4+ and CD8+ T cell responses (Box 1 ) [8., 9., 10., 11.]. Notwithstanding, most convalescent plasma samples have not contained high concentrations of neutralizing activity, and rare antibodies toward specific viral proteins bearing potent antiviral activity have been found in all analyzed subjects recovering from COVID-19 [12]. Exposure to SARS-CoV-2 within households has induced virus-specific interferon (IFN)-γ producing T cells without seroconversion, suggesting that cellular responses might be more sensitive indicators of SARS-CoV-2 exposure than antibodies, although this remains to be fully demonstrated [13]. One study reported a population of polyfunctional SARS-CoV-2-specific T cells with a stem-like memory phenotype in the circulation of antibody-seronegative convalescent individuals presenting asymptomatic and mild COVID-19 [14]; this suggested that in the absence of antibodies, a robust and broad T cell response might be sufficient to provide immune protection against SARS-CoV-2. Thus, the effective cooperation between T cells and antibody responses during the clinical course of COVID-19 might represent key future research for candidate vaccine design. CD8+ Cytotoxic T Lymphocytes (CTLs) CTLs recognize class I MHC-associated peptides and, upon antigen-dependent stimulation, kill virus-infected cells by secreting granzymes and perforins [118]. Perforin creates cell membrane pores, allowing intracellular delivery of granzymes; this leads to cleavage and activation of caspases that induce apoptotic death [118]. CD4+ T Helper (Th) Cells These cells orchestrate adaptive immunity by producing cytokines and chemokines that enhance cytotoxic CD8+ T cell responses and are indispensably required for B cell-dependent antibody production and plasma cell generation [119,120]. These cells respond to class II MHC-associated antigen stimulation and differentiate into functionally distinct subpopulations of effector cells, characterized by specific transcription factors, cytokine fingerprints, and pathogenic targets [121]. Th1 cells: defined by the master regulator T-bet, produce high concentrations of interleukin (IL)-2 and interferon (IFN)-γ and direct immunity toward intracellular bacteria and viruses. IFN-γ is a potent activator of macrophages, stimulating phagocyte-mediated ingestion and killing of microbes [122]. Th2 cells: differentiation of these is driven by Gata3, stimulating phagocyte-independent, eosinophil-mediated immunity, necessary to combat helminthic parasites. They produce IL-4, IL-5, and IL-13, stimulating the production of IgE antibodies, activate eosinophils, and promote the expulsion of parasites from mucosal tissues [122]. Th17 cells: promoted by the expression of Rorγt, these secrete IL-17, IL-22, and other cytokines and chemokines that recruit neutrophils and monocytes. They intervene in the defense against extracellular bacterial and fungal infections, but also contribute to inflammation in autoimmune and other immune-mediated disease [122]. T regulatory (Treg) cells: express CD25 and the transcription factor FOXP3 and play a key role in the anti-inflammatory/immunosuppressive control of the immune response, sustaining immunological homeostasis. Treg cells act by inhibiting the action of the proinflammatory counterpart Th1 and Th17, via production of IL-10, IL-35 and, transforming growth factor (TGF)-β [122,123]. T follicular helper cells: these are driven by Bcl-6. Inside B cell follicles of secondary lymphoid organs, they mostly secrete IL-4 and IL-21 and directly help the development of humoral immunity [122]. Alt-text: Box 1

Peripheral Lymphopenia as a Consistent Associated Factor of SARS-CoV-2 Infection and Severity

In COVID-19 patients, the total blood lymphocyte count, and in particular that of T cells, is lower than in healthy controls [15]. Furthermore, lymphopenia is more accentuated in symptomatic compared with asymptomatic individuals, as well as among symptomatic COVID-19 patients with pneumonia, compared with those without pneumonia [16., 17., 18., 19., 20., 21.]. In severe cases, both CD4+ and CD8+ T cell blood counts are further decreased compared with moderate cases [22., 23., 24., 25., 26., 27., 28.]. Notably, a lower lymphocyte count was found to be a clinical predictor of mortality due to SARS-CoV-2 infection [29,30]. In elderly patients (median age 71 years) with COVID-19, while ARDS was a strong predictor of death, high numbers of lymphocytes in circulation were predictive of a better outcome [31]. Finally, the transfusion of convalescent plasma derived from recent COVID-19-recovered donors with high neutralizing antibody titers has led to significant improvement in clinical symptoms, including increased lymphocyte counts in prospectively enrolled severe COVID-19 patients [32]. Of note, while lymphopenia has not been observed in low pathogenic coronavirus infections, it has been associated with severe illness and poor survival in human subjects infected with SARS-CoV-1 [33., 34., 35., 36.]. The consistent absence of angiotensin-converting enzyme II expression (ACE2, the cellular receptor for both SARS-CoV-1 and SARS-CoV-2) in immune cells suggests that direct viral infection is an unlikely cause of T cell loss, although this warrants robust investigation [3,37,38]. Moreover, while direct viral entry into lymphocytes has been sporadically observed for both SARS coronaviruses, it seems that the virus is not able to replicate in this cell type, leaving the biological relevance of this abortive infection uncertain [39]. In conclusion, we posit that a simple lymphocyte enumeration in circulation might become useful in identifying patients at highest risk of developing an overly harmful response to SARS-CoV-2 infection.

The Vicious Cycle of the Cytokine Storm and T Lymphocyte Loss in Severe SARS-CoV-2 Infection

A growing number of clinical observations show how decreases in blood lymphocyte count and lymphocyte percentage are frequently associated with an increase in the number of neutrophils, not only in the blood but also in the bronchoalveolar lavage fluid (BALF) of COVID-19 patients [18,40., 41., 42.] (Figure 1 ). Two meta-analyses draw superimposable conclusions: that subjects with a more severe COVID-19 progression, compared with nonsevere, harbor more neutrophils, less lymphocytes, higher neutrophil-to-lymphocyte ratios (NLR) and low lymphocyte-to-C-reactive protein ratios (LCR), proposing the potential use of these parameters in routine laboratory blood tests as putative reliable biomarkers of poor prognosis in COVID-19 patients [43,44].
Figure 1

Aberrant and Ineffective Immune Response in Severe Coronavirus Disease 2019 (COVID-19) Patients.

In severely ill COVID-19 patients, an increased neutrophil-to-lymphocyte ratio and elevated concentrations of several cytokines are consistently registered. Activation (HLA-DR, CD45RO, and CD38) and exhaustion [programmed cell death marker 1 (PD-1), receptor mucin domain-containing protein-3 (TIM-3) and NKG2A] markers on T cells can point to a hyperactivated/exhausted/not functional state. In addition, the number of regulatory CD4+CD25+ T cells (Tregs) is significantly lower in these patients compared with controls. Abbreviations: GCSF, granulocyte-colony stimulating factor; IL, interleukin; TNF, tumor necrosis factor.

Aberrant and Ineffective Immune Response in Severe Coronavirus Disease 2019 (COVID-19) Patients. In severely ill COVID-19 patients, an increased neutrophil-to-lymphocyte ratio and elevated concentrations of several cytokines are consistently registered. Activation (HLA-DR, CD45RO, and CD38) and exhaustion [programmed cell death marker 1 (PD-1), receptor mucin domain-containing protein-3 (TIM-3) and NKG2A] markers on T cells can point to a hyperactivated/exhausted/not functional state. In addition, the number of regulatory CD4+CD25+ T cells (Tregs) is significantly lower in these patients compared with controls. Abbreviations: GCSF, granulocyte-colony stimulating factor; IL, interleukin; TNF, tumor necrosis factor. While minimal concentrations of proinflammatory cytokines and chemokines were found in patients recovering from COVID-19, even in the symptomatic phase [8], COVID-19 patients with ARDS suffered from a cytokine storm, characterized by higher plasma concentrations of interleukin (IL)-1β, IL-2, IL-6, IL-7, IL-8, IL-10, granulocyte-colony stimulating factor (GCSF), monocyte chemoattractant protein (MCP)-1, and tumor necrosis factor (TNF)-α, relative to patients without ARDS; this has directly implicated the excessive release of cytokines in COVID-19 pathology [6,19,45,46]. In particular, the abnormal circulating cytokine concentrations observed in severe COVID-19 patients have been proposed to negatively impact on T cell proliferation and/or survival [45,47., 48., 49., 50.]. Autoptic analyses of patients who succumbed to COVID-19 unveiled extensive splenic atrophy and a significant extent of lymphocyte death in lymph follicles and paracortical areas of lymph nodes, potentially mediated, among other mechanisms, by macrophage-derived IL-6 directly promoting lymphocyte necrosis [51]. Recently, through the examination of human postmortem thoracic lymph nodes and spleens, aberrant extrafollicular TNF-α amounts were proposed to contribute to a specific block in BCL-6+ T follicular helper cell differentiation (Box 1), as well as in the dramatic loss of germinal centers in acute SARS-CoV-2 infection [52]. The vicious cycle of cytokine storm and T lymphocyte loss makes cytokines promising putative therapeutic targets for COVID-19. Accordingly, the intravenous administration of tocilizumab (a specific blocker of the IL-6 pathway) to severe COVID-19 patients, has been accompanied by an increase in the absolute lymphocyte blood count within the first day [49]; this has suggested that in immune-dysregulated patients, increased circulating cytokines might sharpen defective lymphocyte functions, thus contributing to an ineffective antiviral response. Along the same lines, subcutaneous administration of anakinra (a recombinant IL-1 receptor antagonist) to hospitalized patients with severe COVID-19-related bilateral pneumonia significantly decreased the need for mechanical ventilation and contributed to reduced mortality compared with controls [53]. Since T cells are known to dampen overactive innate immune responses during viral infections [54,55], it is reasonable to speculate that T cell loss might exacerbate certain pathological inflammatory responses during SARS-CoV-2 infection, sustaining a dysregulated T cell-cytokine loop, although this warrants rigorous investigation. On the one hand, pathogenic T cells themselves can contribute to systemic concentrations of proinflammatory cytokines [56]. On the other hand, an overt inflammatory response might also play an immunosuppressive role. Recent work revealed the occurrence of neutrophil precursors and dysfunctional mature neutrophils with immunosuppressive properties [e.g., expressing the immune checkpoint molecule programmed death-ligand 1 (PD-L1)] in the blood of severe COVID-19 patients, presumably further decreasing T cell numbers in circulation [57]. Collectively, these studies suggest a picture of a feed-forward loop that might comprise the proinflammatory actions of innate immune cells, the effect of cytokines in the immune milieu, and T cell loss.

A Pattern of Treg Cell Decline and Effector T Cell Hyperactivation/Exhaustion in Severe SARS-CoV-2 Infection

Several studies show that, while numerically decreased, both CD4+ and CD8+ T cells from severe COVID-19 patients present a dysregulated status of activation and function, characterized by high concentrations of inflammatory genes, such as those encoding IL-2R, IL-6, JUN, FOS, perforin, granzymes, as well as the coexpression of HLA-DR, CD38, and CD45RO activation markers [21,45,58,59] (Figure 1). This activation status seems to be unspecific. Indeed, the majority of CD8+ T cells belong to expanded clones in patients with moderate SARS-CoV-2 infection, in which a higher amplification index has been reported and CD8+ T cells preferentially expresses tissue-residence genes, such as those encoding CXCR-6, and XCL1; by contrast, CD8+ T cells from patients with severe/critical infection are less expanded, more proliferative, and more phenotypically heterogeneous [42]. Regarding function, in parallel with excessive blood CD8+ T cell activation, CD4+ T cells from severe COVID-19 cases have demonstrated a higher release in cytotoxic granules and a marked decrease in the secretion of functional molecules such as IFN-γ and TNF-α compared with CD4+ T cells from a group of mild COVID-19 patients [58,60]. Moreover, a transcriptomics study showed substantially reduced adaptive immunity gene expression (MHC class II and T cell activation genes, e.g., coding for IL-23A and CD74) in peripheral blood bulk T cells from severe COVID-19 patients [61]. In another study, blood CD8+ T cells isolated from severely ill subjects were not only drastically reduced, but also showed a decreased percentage of positivity for CD107a, IFN-γ, IL-2, and lower expression of granzyme B relative to mild COVID-19 patients [62]. Unlike subjects showing mild symptoms, no correlation was found between SARS-CoV-2-reactive IFN-γ producing blood CD8+ T cell counts and SARS-CoV-2-specific antibody titers in severe COVID-19 patients, suggesting a lack of coordination between cellular and humoral immunity in these subjects [63]. Moreover, a skewing of CD8+ T cells toward a terminally differentiated/senescent phenotype, also displaying reduced antiviral cytokine production capability, was reported in COVID-19 patients who required intensive care [64]. The apparently conflicting observations of both hyperactivation and functional impairment of T cell compartments remain enigmatic, but might potentially be reconciled when considering that persistent stimulation and long-term activation are known to induce both CD4+ and CD8+ T cell exhaustion [65., 66., 67.]. Accordingly, protein expression of three exhaustion markers, that is, the CD28 family member programmed cell death marker 1 (PD-1), the receptor mucin domain-containing protein-3 (TIM-3), and the ITIM-bearing receptor NKG2A [68., 69., 70.] were increased in both peripheral CD4+ and CD8+ T cells from severe COVID-19 patients, a finding that was paralleled by the decreased expression of co-stimulatory molecule CD28 in both subsets [21,45,62,71] (Figure 1). From another angle, effector T cell hyperactivation (and subsequent exhaustion) might be functionally linked to the reported significant reduction of circulating regulatory T (Treg) cells in patients with severe compared with moderate COVID-19 [19,21,26] (Box 1 and Figure 1). In particular, the proportion of both blood naïve (CD45RA+) and induced (CD45RO+) Treg cells declined in severely ill patients, suggesting an important impairment in the immunoregulatory arm of the T cell-mediated response [26]. An increased proportion of blood T follicular helper cells responding to SARS-CoV-2 correlated with reduced numbers of circulating SARS-CoV-2-reactive Treg cells by large-scale single-cell transcriptomic analysis in COVID-19 patients [72]. Since Treg cells are known to play an important role in limiting the host antiviral response and the consequent tissue immunopathology [73,74], their reduction might have a relevant impact on fueling systemic inflammation in severe COVID-19 patients, a hypothesis that deserves to be fully explored. The quality (T cell subset differentiation), beyond magnitude and regulation, of the immune response might also be crucial [75,76]. The strongest T cell responses to SARS-CoV-2 are directed against the spike (S) surface glycoprotein, and SARS-CoV-2-specific T cells predominantly produce effector and T helper (Th)1 (Box 1) cytokines [6,11,77], a response that is effective in keeping the infection under control via macrophages and cytotoxic T cells. However, in severe COVID-19 patients, the signals of a Th2 immune response in peripheral blood have been reported, as evidenced by a high proportion of basophils and degranulated eosinophils and increased concentration of Th2 cytokines (such as IL-4 and IL-10) relative to controls (Box 1) [6,77,78]. In addition, higher numbers of proinflammatory CCR6 Th17 cells in peripheral blood have also been reported in severe relative to mild cases of COVID-19 and, thus, Th17 cell-related proinflammatory cytokine IL-17 has been proposed as an immunologically plausible druggable target that might help prevent ARDS in these patients, although this remains to be further tested (Box 1) [58,71,77,79]. In summary, T cell dysregulation in COVID19 appears to depend on both a quantitative and qualitative modification that might render T cells overreactive and exhausted: on the one hand, able to fuel inflammation, and on the other hand, underperforming in their antiviral function.

Role of T Cell Immunosenescence in Age- and Sex-Related SARS-CoV-2 Mortality

Epidemiological reports describing the mortality pattern of COVID-19 patients clearly indicate that age, male-sex, and the number of pre-existing comorbidities are key risk factors for a high case-fatality rate of SARS-CoV-2 infection [6,7]. These conditions are characterized by a higher basal proinflammatory status coupled with a progressive inability by the immune system to mount proper responses, that might be referred to as ‘immunosenescence’ in aging individuals [80] (Box 2 ). Accordingly, SARS-CoV-2 has caused more severe interstitial pneumonia in old compared with young macaques, paralleled by more active viral replication (in nasopharyngeal swabs) in the former, demonstrating age-dependent, impaired viral clearance [81]. Immunosenescence has been described as a complex age-dependent remodeling of the immune system, with many alterations affecting T cells and in particular: (i) reduction in the CD4+/CD8+ T cell ratio; (ii) impaired development of CD4+ T follicular helper cells and, consequently, an altered development of plasma cells and memory B cells; (iii) shrinkage of the antigen-recognition repertoire of T cell receptor (TCR) diversity; (iv) impaired proliferation in response to antigenic stimulation; (v) decreased cytotoxic activity of natural killer T cells (NKTs); (vi) accrual and clonal expansion of memory and effector T cells; (vii) defective immune defense against viruses, characterized by inefficacious cytotoxic CD8+ T cells; and (viii) increased circulating concentrations of soluble proinflammatory cytokines. This age-associated immune decline may result in an inefficient immune response to novel antigens and an inability to develop proper immunity against infections and upon vaccination. However, the immunosenescence-dependent higher inflammatory status/overactive cytokine secretion might predispose old/frail patients to harmful responses against novel antigens coupled with inefficient viral clearance [80,124,125]. Recent work utilized a systems immunology approach and confirmed that human aging is characterized by decreased T cell functions and a parallel increase in cytotoxic and monocyte cell functions [83]. Alt-text: Box 2 An age-dependent reduction in peripheral blood T cell numbers was indeed observed in COVID-19 patients, with the lowest count reported in patients older than 60 years, suggesting that a decline in both CD4+ and CD8+ T cell numbers might be a potential cause for increased susceptibility to SARS-CoV-2 infection in elderly patients [45]. Furthermore, weakened adaptive responses and elevated systemic inflammation might dramatically compromise antiviral responses and might be key drivers of SARS-CoV-2-induced mortality [82], although further robust studies are warranted to address these possibilities. An additional insight regarding sex-dependent differences in terms of immune-related aging comes from chromatin accessibility and RNA-seq analyses showing that older women (>65 years) have higher genomic activity compared with age-matched older men, as evidenced from transcription factor expression in adaptive immune cells; by contrast, the older men comparatively exhibited a greater age-related CD4+ and CD8+ T cell decline and higher concentrations of circulating proinflammatory IL-6 and IL-18 cytokines [83]. This sexual-dimorphism in human immune system aging might be key in helping to explain some of the reported sex-specific differences in COVID-19 clinical characteristics, in which relative to females, age and comorbidities are associated with greater susceptibility to disease in male patients, when considering prognosis [84]. Beyond age and gender, several additional risk factors can contribute to the development of a chronic, low-grade inflammatory status. Among these, obesity and the resulting adipose tissue dysfunction have clearly emerged as a major fuel of both local and systemic inflammatory responses [85,86]. Indeed, generally, a number of triggers linked to overnutrition (e.g., glucose, cholesterol derivatives, and free fatty acids) can promote the activation of multiple inflammatory pathways, including signaling via IKK complex-NF-kB and JNK-AP1, or inducing reticulum stress by stimulating pattern recognition receptors (PRRs) in both adipocytes and adipose tissue-resident immune cells [87]. The local inflammatory response is mirrored in the plasma of obese patients, characterized by high circulating concentrations of multiple proinflammatory mediators, such as IL-6, IL-8, MCP-1, TNFα, and high sensitivity C reactive protein (hs-CRP) [88,89]; these conditions can also foster or precipitate premature immunosenescence ex vivo, as evidenced by decreased expression of CD28 in human peripheral CD8+ T cells [90]. Obese subjects are more prone to suffer from selected infectious diseases (such as surgical-site infections) and pancreatitis, and skin infections harbor an increased risk of poor prognosis when infected [91]. Although the underlying mechanisms are still a matter of investigation, a recent meta-analysis suggested that obesity, as a comorbidity, might increase the risk for hospitalization, intensive care unit admission, and death among patients with COVID-19 [92]. Overall, although warranting further and rigorous investigation, these observations suggest that a deeper understanding of immune remodeling during aging in the two sexes and in dysmetabolic conditions might provide crucial information that could influence the development of targeted drugs to limit SARS-CoV-2-induced mortality.

Naïve versus Memory T Cell Frequencies: Protection from Severe SARS-CoV-2 Infection in Children

In contrast to infected adults, most children experience a milder COVID-19 clinical course [93,94]. Pediatric cases classified as severe and critical (respectively, 2.5% and 0.6%) are significantly less frequent than in adults [95., 96., 97., 98., 99.]. Age disparities observed in severe cases might be due to a lower susceptibility of children to infection, a lower propensity to showing clinical symptoms, or both. A mathematical model based on epidemiological data from China, Italy, Japan, Singapore, Canada, and South Korea, estimated that susceptibility to infection in subjects younger than 20 years might be half that of adults, with clinical symptoms manifesting from 21% of infections in 10- to 19-year-olds, to 69% in individuals aged over 70 years [100]. Since SARS-CoV-2 has emerged as a novel human virus, individuals remain naïve and should be equally susceptible to being infected, while the immunological milieu that is in contact with the virus presumably significantly differs in children compared with adults. During the immune trajectory from the neonatal age into adulthood, the clonal composition of the expressed T cell receptor (TCR) repertoire changes from a highly diversified set of antigen-specific TCRs, to a less diverse and more oligoclonal collection of TCR molecules, possibly as a result of immune responses to past infections [101]. Moreover, at birth, nearly all T lymphocytes express CD45RA, a typical marker of naïve cells [102]. A study analyzing the immune dynamics of healthy individuals from 5 to 96 years showed that peripheral blood naïve CD4+ and CD8+ T cell numbers decrease linearly with age; circulating memory cells outnumber naïve cells around 35 years of age and subjects aged 65 years or older are characterized by an extremely reduced naïve T cell repertoire (Figure 2 , Key Figure) [103]. These different cellular frequencies have been associated with lower CD4+ and CD8+ T cell activation and multifunctional populations of healthy pediatric T cells upon in vitro stimulation, as well as less severe toxic shock syndrome-associated morbidity in children compared with adults [104]. Furthermore, early-life naïve CD4+ T cells isolated from healthy fetal tissues (18–22 gestational weeks) tend to differentiate toward a Foxp3+CD25+ Treg cell phenotype and persist for an extended period of time (compared with healthy adult naïve CD4+ T cells), shaping a stable anti-inflammatory profile [105].
Figure 2

Key Figure. Model of Memory versus Naïve T Cell Proportions as Potential Contributors to Severe Coronavirus Disease 2019 (COVID-19) in Adults.

We hypothesize that the higher proportion of memory versus naïve T cells in adults compared with children (A) may contribute to the extensive collateral tissue damage and cytokine storm observed in severely ill COVID-19 patients. (B) Substantially increased overactivation might be fueled by excessive trained innate immunity leading to a dysregulated release of cytokines by innate immune cells (primarily monocytes/macrophages) upon severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection in adults; this phenomenon might be associated with bystander memory T cell activation, inefficient clonal expansion of SARS-CoV-2-specific T cells, and low viral clearance. In children, trained immunity would be presumably lower and naïve T cells predominant, with a progressive antiviral response reflecting clonal T cell expansion and efficient viral clearance. These phenomena might contribute to a regulated response that could lead to only minor tissue damage, not compromising the clinical response of infected children. This model remains hypothetical.

Key Figure. Model of Memory versus Naïve T Cell Proportions as Potential Contributors to Severe Coronavirus Disease 2019 (COVID-19) in Adults. We hypothesize that the higher proportion of memory versus naïve T cells in adults compared with children (A) may contribute to the extensive collateral tissue damage and cytokine storm observed in severely ill COVID-19 patients. (B) Substantially increased overactivation might be fueled by excessive trained innate immunity leading to a dysregulated release of cytokines by innate immune cells (primarily monocytes/macrophages) upon severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection in adults; this phenomenon might be associated with bystander memory T cell activation, inefficient clonal expansion of SARS-CoV-2-specific T cells, and low viral clearance. In children, trained immunity would be presumably lower and naïve T cells predominant, with a progressive antiviral response reflecting clonal T cell expansion and efficient viral clearance. These phenomena might contribute to a regulated response that could lead to only minor tissue damage, not compromising the clinical response of infected children. This model remains hypothetical. On the one hand, the accumulation of immunological memory upon entering adult life provides higher protection from infections and, indeed, young adults suffer fewer infections than children. On the other hand, immunological memory can also be detrimental for the host. As a remarkable example, it has been hypothesized that many young adults who succumbed to the ‘1918’ H1N1 influenza virus infection had developed a deadly illness because of a triggered excessive inflammatory cellular response and the recruitment of an overwhelming number of crossreactive CD8+ T cells, possibly having been infected with another strain of influenza virus in their infancy [106]. From another angle, mice studies have demonstrated that immunological memory is acquired throughout life by infections and/or vaccinations and by commensalism, including in the skin, respiratory tract, and gut microbiome; subsequently, primed CD8+ cytotoxic T cells may ‘kick in’ in response to unrelated viral infections through crossreactivity, hence augmenting unspecific inflammation [107]. In addition, while T cell proliferation in vivo is presumed to reflect TCR-mediated recognition of specific exogenous antigens, memory CD4+ and CD8+ T cells expressing the memory marker CD44, can also be activated via a bystander effect, a recognized phenomenon that induces their proliferation via cytokines instead of TCR triggering [108,109]. For instance, bystander T cells are not pathogen-specific and have been reported to contribute to a protective immune response via rapid production of IFN-γ during acute hepatitis A viral infections [108]. However, memory (but not naïve) CD4+ T cells have produced IL-17A in the absence of TCR engagement and increased the expression of pathogenic Th17 signature genes, such as those encoding CCR6 and granulocyte-macrophage colony-stimulating factor (GM-CSF), in a mouse model of multiple sclerosis, strongly suggesting a pathogenic function of bystander-activated T cells in autoimmunity and host tissue injury [109]. Thus, we hypothesize that this T cell-mediated bystander effect might be significantly more pronounced in adults than in children upon SARS-CoV-2 infection, given the higher proportion of memory (compared with naïve) T cells in the former subjects, potentially contributing to a massive T cell-derived cytokine release in severely ill adult patients (Figure 2). We also reason that another potential contributing factor to tissue injury and disease severity in COVID-19 patients might be the effects of trained immunity (Box 3 ) on both local and systemic inflammation [110]. Of note, although warranting further investigation, the Bacillus Calmette-Guerin (BCG) vaccine has been speculated to confer protection from nonrelated pathogenic viruses, including SARS-CoV-2, through trained immunity: upon challenge with pathogen-associated molecular patterns (PAMPs), innate immune cells can display an enhanced response that promotes antiviral host defense [111,112]. Thus, in children infected with SARS-CoV-2, boosting innate antimicrobial mechanisms via trained immunity (such as upon BCG vaccination) might be a potentially beneficial mechanism leading to more efficient inhibition of viral replication and subsequent reduced inflammation. Conversely, an initially amplified, but defective, antiviral innate immune response in some adult or elder individuals might result in high viral replication and activation of an inefficient systemic inflammation [112,113], although this hypothesis remains to be tested. Notwithstanding, trained immunity has indeed been implicated in the persistence of nonresolving inflammation in certain immune-mediated pathologies, such as cardiovascular diseases, as evidenced from animal models and ex vivo experiments [114]. Consistent with this hypothesis, a prominent proinflammatory monocyte/macrophage activation profile has been described in patients with severe COVID-19 infection [42,56,115., 116., 117.]. In conclusion, we speculate that the abnormal and excessive immune reaction observed in severe cases of SARS-CoV-2 infection might potentially arise from a pathogenic synergy between T cell-related bystander effects and more pronounced trained innate immunity effects in adults compared with children, reflecting dysregulated adaptive and innate immunity, as well as tissue-damaging inflammation (Figure 2). However, this hypothesis remains to be rigorously explored. Trained immunity is a process that leads to enhanced responsiveness of previously activated innate immune cells, mostly myeloid, to subsequent triggers, hence defined as an ‘innate immune memory’ [110]. The molecular mechanisms implicated in this enhanced innate cell responsiveness are believed to pertain to significant modulation of chromatin organization: innate cell stimulation is accompanied by specific changes in DNA methylation status, unfolding of chromatin, and facilitation of gene expression [126]. This DNA rearrangement is only partially removed after cessation of the stimulus, allowing a quicker and enhanced expression of proinflammatory factors after secondary challenge with a novel stimulus [126]. In addition to systemic phenomena, the induction of trained immunity may also take place at the mucosal level, where long-lived alveolar macrophages display the classical trained phenotype (defense-ready epigenetic signature, high metabolic rate, and increased release of chemokines upon re-stimulation) after a respiratory viral infection, ensuring innate memory independently from monocytes and bone marrow progenitors [127]. As in the case of adaptive memory, trained immunity confers broad benefits for host defense [128]. Alt-text: Box 3

Concluding Remarks

Progression of COVID-19 may be represented by three phases: acute viral replication, hyperactive immunity, and then either recovery, or organ dysfunction and potentially death. The key is what decides the outcome between appropriate immunity and immunopathology. Here, we have summarized how T cell-mediated immunity, crucial in the successful clearance of SARS-CoV-2, may instead be dramatically impaired in severe cases of COVID-19, with T cells being both ‘victims’ and active participants of the systemic cytokine storm. In particular, we have evoked trained immunity and bystander T cell activation as potentially powerful biases in the excessive innate and adaptive immune responses to SARS-CoV-2 infection, as revealed in adults but not in children. We posit that these putative mechanisms certainly merit future research efforts. Deeper investigations into innate, humoral, and T cell-mediated immunity (see Outstanding Questions) during the critical first weeks upon SARS-CoV2 infection, when patients either die or recover, should contribute to providing a roadmap to entangle the molecular mechanisms of COVID19 pathogenesis and host response and better inform future vaccine design and candidate therapeutics. Are T cell-mediated responses and antibody production equally essential for effective SARS-CoV-2 viral clearance? Is T cell memory to SARS-CoV-2 protective toward a subsequent SARS-CoV-2 infection and, if so, how long does it last? What is the clinical significance of the (im)balance of Th1, Th2, Th17, and Treg cell responses in COVID-19 pathogenesis? Could this imbalance be used as a potential benchmark for the selection of patients requiring immunosuppressing therapy and in which time frame? What are the key molecular and cellular determinants that shift the balance from a proper T cell response to hyperinflammation and a cytokine storm during COVID-19? What is the functional link between these determinants and the emerging risk factors (i.e., age, sex, hypertension, diabetes, and cardiovascular diseases)? Could the proportion of naïve versus memory T cells be used as a potential prognostic biomarker of COVID-19 disease course, especially when considering the possible development of a cytokine storm and hyperinflammatory reaction? Alt-text: Outstanding Questions
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1.  Case-Fatality Rate and Characteristics of Patients Dying in Relation to COVID-19 in Italy.

Authors:  Graziano Onder; Giovanni Rezza; Silvio Brusaferro
Journal:  JAMA       Date:  2020-05-12       Impact factor: 56.272

2.  Fetal and adult hematopoietic stem cells give rise to distinct T cell lineages in humans.

Authors:  Jeff E Mold; Shivkumar Venkatasubrahmanyam; Trevor D Burt; Jakob Michaëlsson; Jose M Rivera; Sofiya A Galkina; Kenneth Weinberg; Cheryl A Stoddart; Joseph M McCune
Journal:  Science       Date:  2010-12-17       Impact factor: 47.728

3.  Haematological manifestations in patients with severe acute respiratory syndrome: retrospective analysis.

Authors:  Raymond S M Wong; Alan Wu; K F To; Nelson Lee; Christopher W K Lam; C K Wong; Paul K S Chan; Margaret H L Ng; L M Yu; David S Hui; John S Tam; Gregory Cheng; Joseph J Y Sung
Journal:  BMJ       Date:  2003-06-21

4.  Clinical and immunological features of severe and moderate coronavirus disease 2019.

Authors:  Guang Chen; Di Wu; Wei Guo; Yong Cao; Da Huang; Hongwu Wang; Tao Wang; Xiaoyun Zhang; Huilong Chen; Haijing Yu; Xiaoping Zhang; Minxia Zhang; Shiji Wu; Jianxin Song; Tao Chen; Meifang Han; Shusheng Li; Xiaoping Luo; Jianping Zhao; Qin Ning
Journal:  J Clin Invest       Date:  2020-05-01       Impact factor: 14.808

5.  A pneumonia outbreak associated with a new coronavirus of probable bat origin.

Authors:  Peng Zhou; Xing-Lou Yang; Xian-Guang Wang; Ben Hu; Lei Zhang; Wei Zhang; Hao-Rui Si; Yan Zhu; Bei Li; Chao-Lin Huang; Hui-Dong Chen; Jing Chen; Yun Luo; Hua Guo; Ren-Di Jiang; Mei-Qin Liu; Ying Chen; Xu-Rui Shen; Xi Wang; Xiao-Shuang Zheng; Kai Zhao; Quan-Jiao Chen; Fei Deng; Lin-Lin Liu; Bing Yan; Fa-Xian Zhan; Yan-Yi Wang; Geng-Fu Xiao; Zheng-Li Shi
Journal:  Nature       Date:  2020-02-03       Impact factor: 69.504

6.  Tim-3 expression defines a novel population of dysfunctional T cells with highly elevated frequencies in progressive HIV-1 infection.

Authors:  R Brad Jones; Lishomwa C Ndhlovu; Jason D Barbour; Prameet M Sheth; Aashish R Jha; Brian R Long; Jessica C Wong; Malathy Satkunarajah; Marc Schweneker; Joan M Chapman; Gabor Gyenes; Bahareh Vali; Martin D Hyrcza; Feng Yun Yue; Colin Kovacs; Aref Sassi; Mona Loutfy; Roberta Halpenny; Desmond Persad; Gerald Spotts; Frederick M Hecht; Tae-Wook Chun; Joseph M McCune; Rupert Kaul; James M Rini; Douglas F Nixon; Mario A Ostrowski
Journal:  J Exp Med       Date:  2008-11-10       Impact factor: 14.307

7.  Convergent antibody responses to SARS-CoV-2 in convalescent individuals.

Authors:  Davide F Robbiani; Christian Gaebler; Frauke Muecksch; Julio C C Lorenzi; Zijun Wang; Alice Cho; Marianna Agudelo; Christopher O Barnes; Anna Gazumyan; Shlomo Finkin; Thomas Hägglöf; Thiago Y Oliveira; Charlotte Viant; Arlene Hurley; Hans-Heinrich Hoffmann; Katrina G Millard; Rhonda G Kost; Melissa Cipolla; Kristie Gordon; Filippo Bianchini; Spencer T Chen; Victor Ramos; Roshni Patel; Juan Dizon; Irina Shimeliovich; Pilar Mendoza; Harald Hartweger; Lilian Nogueira; Maggi Pack; Jill Horowitz; Fabian Schmidt; Yiska Weisblum; Eleftherios Michailidis; Alison W Ashbrook; Eric Waltari; John E Pak; Kathryn E Huey-Tubman; Nicholas Koranda; Pauline R Hoffman; Anthony P West; Charles M Rice; Theodora Hatziioannou; Pamela J Bjorkman; Paul D Bieniasz; Marina Caskey; Michel C Nussenzweig
Journal:  Nature       Date:  2020-06-18       Impact factor: 69.504

8.  CT imaging and clinical course of asymptomatic cases with COVID-19 pneumonia at admission in Wuhan, China.

Authors:  Heng Meng; Rui Xiong; Ruyuan He; Weichen Lin; Bo Hao; Lin Zhang; Zilong Lu; Xiaokang Shen; Tao Fan; Wenyang Jiang; Wenbin Yang; Tao Li; Jun Chen; Qing Geng
Journal:  J Infect       Date:  2020-04-12       Impact factor: 6.072

9.  Trained Immunity Confers Broad-Spectrum Protection Against Bacterial Infections.

Authors:  Eleonora Ciarlo; Tytti Heinonen; Charlotte Théroude; Fatemeh Asgari; Didier Le Roy; Mihai G Netea; Thierry Roger
Journal:  J Infect Dis       Date:  2020-11-09       Impact factor: 5.226

10.  Characteristics of and Important Lessons From the Coronavirus Disease 2019 (COVID-19) Outbreak in China: Summary of a Report of 72 314 Cases From the Chinese Center for Disease Control and Prevention.

Authors:  Zunyou Wu; Jennifer M McGoogan
Journal:  JAMA       Date:  2020-04-07       Impact factor: 56.272

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  47 in total

1.  Omicron-Specific Cytotoxic T-Cell Responses After a Third Dose of mRNA COVID-19 Vaccine Among Patients With Multiple Sclerosis Treated With Ocrelizumab.

Authors:  Natacha Madelon; Nelli Heikkilä; Irène Sabater Royo; Paola Fontannaz; Gautier Breville; Kim Lauper; Rachel Goldstein; Alba Grifoni; Alessandro Sette; Claire-Anne Siegrist; Axel Finckh; Patrice H Lalive; Arnaud M Didierlaurent; Christiane S Eberhardt
Journal:  JAMA Neurol       Date:  2022-04-01       Impact factor: 18.302

Review 2.  Extracellular vesicles in pharmacology: Novel approaches in diagnostics and therapy.

Authors:  Zainuddin Quadri; Ahmed Elsherbini; Erhard Bieberich
Journal:  Pharmacol Res       Date:  2021-12-02       Impact factor: 7.658

3.  Utility of Monocyte Expression of HLA-DR versus T Lymphocyte Frequency in the Assessment of COVID-19 Outcome.

Authors:  Reham Hammad; Hend G Kotb; Gehan Abdel-Rahman Eldesoky; Alshaimaa Mohamed Mosaad; Asmaa M El-Nasser; Fatma El-Zahraa Abd El Hakam; Noha Abdel-Rahman Eldesoky; Alya Mashaal; Hesham Farhoud
Journal:  Int J Gen Med       Date:  2022-05-19

Review 4.  A comprehensive survey into the role of microRNAs in ovarian cancer chemoresistance; an updated overview.

Authors:  Ahmad Saburi; Mohammad Saeed Kahrizi; Navid Naghsh; Hasti Etemadi; Ahmet İlhan; Ali Adili; Shadi Ghoreishizadeh; Rozita Tamjidifar; Morteza Akbari; Gülinnaz Ercan
Journal:  J Ovarian Res       Date:  2022-07-07       Impact factor: 5.506

5.  Monocytic-Myeloid Derived Suppressor Cells Suppress T-Cell Responses in Recovered SARS CoV2-Infected Individuals.

Authors:  Nadejda Beliakova-Bethell; Kathirvel Maruthai; Ruijie Xu; Liliana C M Salvador; Ankita Garg
Journal:  Front Immunol       Date:  2022-06-24       Impact factor: 8.786

Review 6.  Mechanism of COVID-19 Causing ARDS: Exploring the Possibility of Preventing and Treating SARS-CoV-2.

Authors:  Jiajing Zheng; Jiameng Miao; Rui Guo; Jinhe Guo; Zheng Fan; Xianbin Kong; Rui Gao; Long Yang
Journal:  Front Cell Infect Microbiol       Date:  2022-06-14       Impact factor: 6.073

7.  Molecular and cellular immune features of aged patients with severe COVID-19 pneumonia.

Authors:  Domenico Lo Tartaro; Anita Neroni; Annamaria Paolini; Rebecca Borella; Marco Mattioli; Lucia Fidanza; Andrew Quong; Carlene Petes; Geneve Awong; Samuel Douglas; Dongxia Lin; Jordan Nieto; Licia Gozzi; Erica Franceschini; Stefano Busani; Milena Nasi; Anna Vittoria Mattioli; Tommaso Trenti; Marianna Meschiari; Giovanni Guaraldi; Massimo Girardis; Cristina Mussini; Lara Gibellini; Andrea Cossarizza; Sara De Biasi
Journal:  Commun Biol       Date:  2022-06-16

8.  Investigating Cellular Trajectories in the Severity of COVID-19 and Their Transcriptional Programs Using Machine Learning Approaches.

Authors:  Hyun-Hwan Jeong; Johnathan Jia; Yulin Dai; Lukas M Simon; Zhongming Zhao
Journal:  Genes (Basel)       Date:  2021-04-24       Impact factor: 4.096

Review 9.  Infection and Immune Memory: Variables in Robust Protection by Vaccines Against SARS-CoV-2.

Authors:  Pankaj Ahluwalia; Kumar Vaibhav; Meenakshi Ahluwalia; Ashis K Mondal; Nikhil Sahajpal; Amyn M Rojiani; Ravindra Kolhe
Journal:  Front Immunol       Date:  2021-05-11       Impact factor: 7.561

10.  Immunosuppression as a Hallmark of Critical COVID-19: Prospective Study.

Authors:  Elżbieta Kalicińska; Donata Szymczak; Aleksander Zińczuk; Barbara Adamik; Jakub Smiechowicz; Tomasz Skalec; Danuta Nowicka-Suszko; Monika Biernat; Aleksandra Bogucka-Fedorczuk; Justyna Rybka; Adrian Martuszewski; Waldemar Gozdzik; Krzysztof Simon; Tomasz Wróbel
Journal:  Cells       Date:  2021-05-23       Impact factor: 6.600

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