Abstract
Following their exit from the thymus, T cells are endowed with potent effector functions but must spare host tissue from harm. The fate of these cells is dictated by a series of checkpoints that regulate the quality and magnitude of T cell-mediated immunity, known as tolerance checkpoints. In this Perspective, we discuss the mediators and networks that control the six main peripheral tolerance checkpoints throughout the life of a T cell: quiescence, ignorance, anergy, exhaustion, senescence and death. At the naive T cell stage, two intrinsic checkpoints that actively maintain tolerance are quiescence and ignorance. In the presence of co-stimulation-deficient T cell activation, anergy is a dominant hallmark that mandates T cell unresponsiveness. When T cells are successfully stimulated and reach the effector stage, exhaustion and senescence can limit excessive inflammation and prevent immunopathology. At every stage of the T cell’s journey, cell death exists as a checkpoint to limit clonal expansion and to terminate unrestrained responses. Here, we compare and contrast the T cell tolerance checkpoints and discuss their specific roles, with the aim of providing an integrated view of T cell peripheral tolerance and fate regulation.
Studies over the past 50 years have revealed the remarkable diversity of T lymphocytes with regard to developmental origin, differentiation trajectories, migration and residence patterns, as well as effector, cytotoxic and suppressive activities. With this knowledge came an increased appreciation of the importance of regulatory mechanisms to rein in the potent effector functions of these cells. If not tightly controlled, a single self-reactive T cell can cause crippling damage. The danger of unrestrained T cell responses is manifested in the immune-related pathologies seen in autoimmune diseases and ‘cytokine storms’ as a consequence of overactive immune responses1,2. Multiple layers of negative regulation have been identified during the development and function of T cells, collectively referred to as ‘T cell tolerance’. ‘Central tolerance’ describes the selection mechanisms during thymocyte differentiation that shape the repertoire to limit the survival of self-reactive cells, whereas peripheral tolerance is maintained by multiple mechanisms that restrain peripheral T cell responses to a self-antigen. It has been shown that thymic deletion of self-reactive T cells is only ~60–70% efficient, allowing the peripheral naive T cell repertoire to contain a significant portion of low-avidity, self-reactive T cells3–5. These T cells pose the potential risk of autoimmune responses. Therefore, numerous peripheral tolerance checkpoints are critical to regulate the activity and prevent the pathogenicity of these self-reactive T cells, in addition to regulating the magnitude and timing of protective T cell responses to limit overactivity and hyperinflammation in response to pathogens. Peripheral tolerance checkpoints include mechanisms that act directly on the responding T lymphocyte (T cell-intrinsic mechanisms) and T cell-extrinsic mechanisms that depend on other cell subsets, such as regulatory T cells (Treg cells)6,7 and dendritic cells. Extrinsic tolerance mechanisms have been comprehensively reviewed elsewhere6,8.
Here, we discuss novel insights into T cell-intrinsic peripheral tolerance mechanisms and discuss their molecular underpinnings. We map the tolerance checkpoints along the journey of a naive T cell from its exit to the periphery to its demise with age. In this effort, we hope to broaden the reader’s appreciation of the complexity of peripheral T cell tolerance, with multiple checkpoints utilizing distinct mechanisms to regulate the function of a T cell throughout its lifespan (FIG. 1). We highlight the importance of checkpoints at the naive T cell stage, where T cell quiescence and ignorance may be represented by diverse subsets of naive cells whose phenotypes we have yet to understand. Elaborate mechanisms have been defined after T cell activation, where anergy and exhaustion are two tolerance checkpoints dependent on T cell activation and that play key regulatory roles at the priming and effector stages, respectively. Senescence is an underappreciated tolerance mechanism that is predominant in the terminal effector and memory phases and likely contributes to compromising lymphocyte function with ageing. Lastly, peripheral deletion by different modes of programmed cell death remains a critical point of control in the regulation and termination of T cell responses and is present at virtually every step of T cell differentiation.
Fig. 1 |. Integrated road map for T cell tolerance checkpoints.
Temporal schematic integrating the tolerance checkpoints at each stage of the peripheral T cell lifespan. Six tolerance checkpoints exist and integrate to regulate T cell responses at all stages. These T cell regulatory checkpoints start at the naive T cell stage, where quiescence and ignorance enforce T cell tolerance. These checkpoints occur before T cell activation by cognate antigen encounter and priming. After antigen-specific T cell activation, co-stimulation-deficient T cell receptor (TCR) signalling can trigger anergy, which enforces T cell hyporesponsiveness and limits T cell responses to inappropriate stimuli (such as self-antigens). Such tolerogenic activation can also induce peripheral T cell deletion, known as tolerance-induced cell death. As a result of chronic antigen stimulation during the effector T cell stage, exhaustion and senescence can limit T cell responses. During the effector stage and beyond (where terminal effector T cells undergo clonal contraction), restimulation-induced cell death and cytokine withdrawal-induced cell death serve to terminate T cell responses.
Quiescence
Quiescence is a peripheral tolerance mechanism that can limit the responsiveness of naive T cells to tonic signals. When naive T cells exit the thymus, the quiescence programme, regulated by quiescence mediators, maintains these cells at a lower basal metabolic state than their thymocyte counterparts9. Quiescence is an active process that maintains T cells in the G0 stage of the cell cycle, sustains a small cell size, ensures low cellular metabolism and prevents the development of effector functions in response to tonic signals, including self-antigens and other mediators10–12. It is an important mechanism to prevent the expansion of the numbers of naive T cells in the steady state and thereby maintain their relative numbers. The mechanisms controlling quiescence also set the threshold for activation of naive T cells. As such, quiescence plays a critical role in clonal selection, ensuring that most of the repertoire that binds a particular antigen is restrained and limiting clonal expansion to high-affinity clones. However, it is unclear whether the threshold for quiescence is fixed or exists within a dynamic spectrum. It is possible that the mediators of quiescence can be downregulated to allow naive T cell responses to lower-affinity antigens or upregulated to restrict responses more stringently. Given that the signalling molecules and networks that control T cell quiescence are dynamic and respond to outside cues, one may surmise that the threshold for quiescence changes in different environmental contexts and that these changes determine the set point for a productive response to an antigen, the development of autoimmunity or the response to neoantigens in cancer.
In mice, many of the molecular effectors and networks involved in T cell quiescence have been identified and have been shown to control a diverse array of biological pathways. TGFβ1 and TOB1, two effectors that are part of the transforming growth factor-β superfamily signalling network, have been identified as quiescence mediators13–15. They signal via the SMAD family of signal transducers and downregulate the production of IL-2 and T cell activation in general. TOB1 is a member of the APRO family of genes, which encodes proteins with antiproliferative functions and also includes BTG1 and BTG2 (REF.16). Recently, it was shown that all these genes are selectively and highly expressed in naive T cells and that BTG1 and BGT2 play an important role in promoting the deadenylation and degradation of mRNA in naive T cells, thereby actively maintaining a low rate of translation17,18.
Transcriptional and proteomic analyses of the naive T cell repertoire have also revealed a high expression of the DNA-binding protein KLF2 by quiescent T cells, qualifying it as a marker for T cell quiescence17,19. KLF2 impacts on T cell quiescence partly through the suppression of the transcription factor MYC and by affecting cell cycle progression through p21 (REFS20–23). KLF2 also appears to regulate thymocyte egress and the expression of S1PR1 and CD62L, two receptors that are highly expressed by naive T cells24,25. Whether this lymphocyte recirculation regulatory mechanism by KLF2 plays an important role in the maintenance of quiescence remains to be determined. In T cells, the expression of KLF2 is induced and maintained by the transcription factor FOXO1, which has a well-established role in maintaining T cell quiescence26–28. Indeed, the expression of FOXO1 and KLF2, as well as the expression of the transcription factor FOXP1, are all directly upregulated by the transcription factor RUNX1, which also has an important regulatory role in maintaining T cell quiescence, as evidenced by the observation that loss of RUNX1 leads to T cell hyperactivation29,30. As mentioned above, part of the quiescence phenotype is a low basal metabolic programme. The tumour suppressor proteins TSC1 and TSC2 play an important role in this process by suppressing the activation of mechanistic target of rapamycin complex 1 (mTORC1), an important nutrient, energy and redox sensor31,32. This results in a downregulation of cellular metabolism, thereby maintaining low nutrient demands by the large number of peripheral naive T cells.
Insights into how these interconnected, multidimensional networks of quiescence regulators control the threshold of responsiveness of naive T cells in health and disease are evolving33. For all documented quiescence regulators (TABLE 1), their genetic deletion results in an increased percentage of T cells with a memory phenotype, with enhanced activation and pro-inflammatory polarization states17,22,27,32. Moreover, there is ample evidence that alterations in the expression of quiescence regulators result in a breakdown in peripheral tolerance and the development of autoimmune disease28,30,34. For example, several studies have shown that abrogation of TGFβ1 signalling in T cells precipitates aggressive and fatal autoimmune disease35,36, likely due to disruption of the suppressive activities of SMAD and TOB1 on T cell activation. In addition, Foxo1 deletion in T cells in mice results in the development of profound colitis, pancreatitis and multi-organ lymphocyte infiltration; however, this may be partly caused by Treg cell dysfunction in addition to lowering of the threshold of naive T cell quiescence. Mice with Runx1−/− T cells experience a cytokine-release syndrome and fatal pneumonitis30. Collectively, these findings suggest that a breakdown of T cell quiescence lowers the threshold of naive T cell responsiveness to self-antigens, resulting in profound autoimmunity.
Table 1 |.
Summary of the main regulators and markers of each tolerance checkpoint in T cells
| Factor | Quiescence | Ignorance | Anergy | Exhaustion | Senescence | Deletional tolerance |
|---|---|---|---|---|---|---|
| Surface receptors | TGFβR1 (REF.13) VISTA17 |
Unknown | CD73 (REFS78,79) FR4 (REFS78,79) LAG3 (REF.85) NRP1 (REF.79) |
PD1 (REF.177) TIGIT178 LAG3 (REF.179) TIM3 (REF.180) |
NKG2D133 IFNα/IFNAR119 |
FAS (also known as CD95)160,161 TNFR1(REFS164,181) TRAILR1 and TRAILR2 (REFS182,183) |
| Signalling molecules | BTG1/BTG2 (REF.18) TSC1/TSC2 (REFS31,32) |
Unknown | DGKα62 CBLB67 GRAIL184 ITCH185,186 |
SHP1 (REF.187) SHP2 (REFS187,188) PTPN2 (REF.189) |
TAB1 (REF.129) Sestrin 2 (REF.133) |
CASP8 (REF.161) BID190 BIM (also known as BCL-2L11)145,146 |
| Transcription factors | KLF2 (REFS20,22) FOXO1 (REFS26–28) RUNX1 (REFS29,30) TOB1 (REFS14,15) FOXP1 (REFS191,192) |
Unknown | NFAT1 (REF.64) EGR2 (REFS66–68) EGR3 (REF.67) NR4A1 (REF.72) TOB1 (REF.15) |
IRF4 (REF.193) NR4A1 (REF.103) GATA3 (REF.194) TOX103–106 BATF102 BLIMP1 (REF.195) EOMES196 |
– | – |
DGKα, diacylglycerol kinase-α; IFNα, interferon-α.
Recent studies have established that the naive T cell repertoire in mice (defined by CD62Lhi and CD44low) is not uniform or monomorphic but displays remarkable steady-state heterogeneity with multiple cellular subsets17. The role of specific networks of quiescence mediators in controlling the steady-state distribution of these subsets is not currently understood. Whereas most naive T cells exhibit a quiescent phenotype and coexpress high levels of genes encoding quiescence regulators, there are several subsets within the naive T cell compartment17, including T cells with high levels of expression of genes encoding the type I interferon response module, others with enhanced early T cell receptor (TCR) signalling activity and subsets with augmented expression of genes encoding cytoskeleton components17. We argue that the current phenotypic definition of naive T cells needs to be expanded beyond the use of conventional markers such as CD44, CD62L and CD45RB to those that are more relevant to quiescence such as KLF2 and TOB1 to more appropriately capture the heterogeneous landscape within the naive repertoire.
Importantly, it appears that the expression of the inhibitory checkpoint receptor VISTA is critical for the intrinsic, steady-state maintenance of these heterogeneous naive T cell subsets and for the maintenance of quiescence17,37. It was shown that VISTA−/− T cells (VISTA is also known as VSIR) express reduced levels of important quiescence mediators such as KLF2, BTG1 and BTG2 (REF.17). Further analysis revealed that the expression of VISTA and KLF2 is co-regulated in T cells and suggests a direct relationship between VISTA expression and the maintenance of quiescence networks. The loss of key quiescence regulators in VISTA−/− T cells results in hyper-responsiveness to co-stimulation-deficient T cell activation and precipitates several autoimmune manifestations, including experimental autoimmume encephalomyelitis, splenomegaly and enhanced infiltration of activated T cells into non-lymphoid tissues in mice38–40. These findings link tonic VISTA signalling, elements of the quiescence networks and the prevention of autoimmunity.
At present, the steady-state heterogeneity of the human naive T cell compartment is not well explored41. There are indications that some factors that are critical for maintaining mouse T cell quiescence and their naive phenotype are functionally conserved across mouse and human T cells. For example, it has been reported that TOB1 and KLF2 are quiescence regulators that are common to both mouse and human T cells42,43. A recent study showed that the same transcription factors implicated in naive T cell quiescence in mice (FOXO1, FOXP1 and KLF2) are also highly expressed in human naive T cells44. These transcription factors have a constitutively rapid turnover, enabling their depletion on T cell activation to facilitate the transition from a quiescence state to effector T cell (Teff cell) differentiation44. Although we map quiescence as a tolerance checkpoint to naive T cells, there are also indications that memory T cells exhibit quiescence features (discussed in BOX 1).
Box 1 |. Is quiescence a tolerance mechanism in memory T cells?
It is tempting to speculate that memory T cells, in the absence of a cognate antigen, can enter a quiescent stage that is similar to quiescence observed in naive T cells, although recent evidence indicates that memory T cells can have complex and heterogeneous phenotypes. Indeed, central memory T cells sustain a low basal metabolism and have a slow turnover. This is critical for the longevity and ‘stemness’ of these memory T cells and allows the maintenance of long-term immunity to particular pathogens. Despite these features, there are clear distinctions between naive quiescent T cells and memory T cells that appear quiescent, as well as differences within the memory T cell subsets with regard to the levels of quiescence they exhibit. Therefore, the factors that define quiescence in naive T cells are different from those in memory T cells. Unlike their naive counterparts, memory T cells are characterized by basal proliferation driven by homeostatic cytokines (for example, IL-7 and IL-15)197 and are always kept in a state of ‘readiness’11 via two known mechanisms. First, most memory T cells are actively198 maintained in the G1 state, whereas naive T cells are maintained in the G0 state198,199. This endows memory T cells with the potential for rapid proliferative and functional recall responses. Second, memory T cells exhibit markedly enhanced chromatin accessibility to genes encoding important effector functions200, which largely accounts for their efficient recall responses to antigens, and a lower threshold for antigen responsiveness. In the particular case of tissue-resident memory T cells, several studies showed a marked reduction of expression of quiescent mediators and an enhancement in the expression of T cell receptor downstream effectors and cytokine genes compared with other memory subsets and to naive T cells201,202, keeping the tissue-resident memory T cell subset “‘frozen’ in a near-effector status”203.
Ignorance
Ignorance is another tolerance checkpoint at the naive T cell stage that has been observed in multiple systems, yet its mechanisms remain poorly understood45. Simply put, self-reactive T cells can fail to activate and provoke autoimmune disease despite the presence of the specific self-antigen. These T cells remain in a naive, responsive state. Mechanisms that control ignorance can include intrinsic and extrinsic mechanisms. Intrinsic mechanisms include TCR affinity for an antigen where TCR affinity is too low to elicit a T cell response. Extrinsic mechanisms likely comprise lack of T cell stimulation owing to low antigen density and/or the restriction of antigen recognition owing to its anatomical location46. This was demonstrated in two recent studies using elegant mouse models of neo-self-antigen expression restricted to specific organs based on tissue-specific promoters, which allowed the tracking of the response of antigen-specific endogenous T cells in vivo47,48. In both cases, the investigators identified ‘ignorance’ of a self-antigen as the main mechanism curtailing reactivity and immunopathology to an antigen expressed in the pancreas but not in the lung or intestines, where thymically derived Treg cells instead emerged47,48. They concluded that the anatomical location and abundance of the self-antigen are the deciding factors, as low antigen dose in the pancreas maintained ignorance by not provoking T cell priming, whereas high doses elsewhere resulted in deletional peripheral tolerance49.
A significant observation from these studies is that self-reactive ignorant T cells do exist in the periphery of these mice47,49–51. Similarly, ignorant self-reactive T cells exist in human peripheral blood and can be as frequent in healthy individuals as in patients with autoimmune disease. The difference is that self-reactive T cells in healthy individuals are maintained in a naive state, whereas these T cells have an activated phenotype in individuals with autoimmune conditions52–54. In light of the substantial steady-state heterogeneity now known to exist within the naive T cell compartment, a reassessment of T cell ignorance in humans and mice at much higher resolution is warranted. Studies are currently under way to evaluate whether naive, ignorant self-reactive T cells may differ with regard to their quiescence mediators, as highly resolved phenotypic analyses (for example, single-cell RNA sequencing) have yet to be reported.
A noteworthy distinction between quiescence and ignorance is that quiescence is a general tolerance hallmark of all naive T cells, irrespective of their antigen specificity, whereas ‘ignorance’ refers to the avoidance of activation of specific self-reactive T cells, with the host tissue and the location of the self-antigen being determining factors. Much more is understood about the regulators of naive T cell quiescence than the molecular regulators of T cell ignorance. It is currently unknown whether some of these regulators overlap.
Like quiescent T cells, and unlike anergic T cells as discussed later, ‘ignorant T cells’ are not dysfunctional, as when appropriately stimulated in an inflammatory context, such as with viral pathogens50,51 or inflammatory cytokines55,56, they are capable of overriding the ignorance checkpoint and inducing autoimmune disease57,58.
One of the unanswered questions regarding T cell ignorance is whether there is an evolutionary benefit to imperfect central tolerance that results in a significant number of ignorant self-reactive T cells reaching the periphery. Mouse models in which central tolerance is titrated to eliminate all self-reactive clones may be of value here. Despite the lack of empirical investigation, we speculate that these low-avidity self-reactive T cells are likely reactive and may have high specificity for some pathogens and that their potential protective benefit in an infection setting may outweigh the risk they pose with regard to autoimmunity.
Anergy
The mechanisms of quiescence, ignorance and anergy all serve to limit the responses of naive T cells to an antigen. However, quiescence is constitutively maintained in a manner that is agnostic to TCR stimulation, ignorance is a result of the antigen being hidden away or presented at extremely low levels, whereas anergy is a direct result of ‘defective (imbalanced)’ TCR stimulation in naive T cells. Anergy is the most proximal, non-deletional tolerance mechanism following TCR engagement and is functionally defined as T cell hyporesponsiveness to restimulation under robust stimulatory conditions. Functionally, it serves as an early checkpoint during T cell priming to prevent potential T cell pathogenicity before the onset of the T cell effector stage.
At the molecular level, anergy is induced by co-stimulation-deficient (‘tolerogenic’) TCR activation. In T cells that receive TCR signalling with productive co-stimulation (for example, CD28), this induces the transcription factor NFAT1 together with AP-1 (a dimeric transcription factor composed of FOS and JUN family subunits) to induce T cell differentiation and effector functions. By contrast, tolerogenic TCR activation leads to a defect in RAS–mitogen-activated protein kinase (MAPK) signalling59–62, which in turn impairs translocation of AP-1 into the nucleus63. In this instance, TCR signalling is now shifted towards the transcription factor NFAT1 in the absence of AP-1 activity. This imbalanced shift in downstream TCR signalling towards NFAT1 activation results in the induction of several genes that encode proteins involved in establishing the anergic state64, such as diacylglycerol kinase-α (DGKα)64, an enzyme critical for anergy induction through inhibition of RAS activation via depletion of diacylglycerol62,65. Immediate transcriptional targets of NFAT1 also include the transcription factors EGR2 and EGR3, which suppress IL-2 transcription and upregulate the regulatory ubiquitin ligase CBLB66–68.
The long-term TCR-induced hyporesponsive state observed in anergic T cells shows substantial evidence of coordinated epigenetic69,70 and post-transcriptional71 programming that silences effector cytokine expression. Recent work identified the TCR-induced gene Nr4a1 (also known as Nur77), which encodes a nuclear receptor that acts as an inhibitor of AP-1 function, to mediate the epigenetic reprogramming of mouse T cells towards an anergic state72. Hallmark functional changes that define anergy include a profound reduction in the levels of IL-2, interferon-γ and tumour necrosis factor (TNF) in response to TCR stimulation. This acquired refractory state is associated with growth arrest and defects in cell cycle progression. Although anergy can be long-lasting, it is reversible, and in vivo studies show that anergic T cells slowly recover functional responsiveness in the absence of the antigen, indicating that the maintenance of anergy requires prolonged antigen exposure73–75. The reversal of anergy is also observed on adoptive transfer of anergic cells into a lymphopenic environment. In this case, the absence of a cognate antigen and the abundance of homeostatic cytokines result in the establishment of an effector cell state76,77.
It appears that TCR stimulation of quiescent T cells results in the downregulation of factors that enforce quiescence, whereas TCR stimulation of anergic T cells upregulates mediators of anergy. Transcriptional profiles of naturally anergic CD4+ T cells (defined as CD44hiCD73hiFR4hiFOXP3−)78 revealed that, following TCR engagement, most quiescence regulators, with the exception of TOB1 (REF.15), are downregulated, whereas several factors involved in the acquisition of the anergic state, including MAF, NFAT1, NRP1 and NR4A1, are upregulated17,79,80. One key similarity between quiescent and anergic T cells is that mTORC1 activity is suppressed in both states. The metabolic consequences of mTORC1 suppression include reduced protein synthesis, as well as nutrient acquisition via suppressed expression of amino acid and glucose transporters, all key features for the energy charge necessary for the acquisition of T cell effector functions81,82. In anergic T cells, the absence of co-stimulation prevents the full mobilization and upregulation of the metabolic machinery, even by subsequent productive stimuli82,83. However, a striking difference between quiescent and anergic T cells is that the former are maintained in the non-proliferative G0 stage of the cell cycle, whereas the induction of anergy involves early proliferation, which is followed by an arrest of cell cycle progression in the G1 to S phase84. Thus, there are substantial differences but also similarities in the tolerance mechanisms of naive T cells before and after T cell activation.
Distinctive markers for anergy across T cell subsets and across species have yet to be clearly identified, and most studies resort to an operational definition (a state of tolerance induced by defective TCR stimulation) to classify T cells as anergic. In mice, recent studies defined anergic CD4+ T cells by their higher expression of the 5′ nucleotidase CD73 and the folate receptor (FR4) than Teff cells, and they are distinguished from Treg cells by their lack of FOXP3 expression77,78. Whether CD73 and FR4 are functionally involved in the induction or maintenance of anergy, and whether these are exclusive markers of CD4+ anergic cells, remains to be determined. In several mouse tumour models, anergic CD8+ T cells were found to express the inhibitory receptors LAG3 and 4–1BB, which are both regulated by the transcription factor EGR2 (REF.85). It is currently unknown whether human anergic T cells display similar molecular markers. Human anergic CD8+ T cells have been defined as expressing both the co-inhibitory receptor CTLA4 and the chemokine receptor CCR7, which are not co-expressed by activated or naive T cells. Surprisingly, these studies reported no differences in the expression of the inhibitory receptor PD1 or the anergy-related genes EGR2, GRAIL (also known as RNF128) and CBLB86. Efforts are ongoing to establish the common phenotypes that define anergic T cells in both mouse and human T cell subsets and to examine the role of anergy in anticancer immune response (BOX 2).
Box 2 |. Does T cell anergy limit antitumour immune responses?
Although anergy is an early and effective negative regulator of T cell activity, its potential role in modulating the immune response in human disease requires further elucidation. Anergy is a tolerogenic mechanism of unresponsiveness that occurs during the priming stage, early after naive T cell activation (as opposed to exhaustion, which occurs after the initial productive stimulation and the acquisition of effector functions). There has been an intense focus on the role of T cell exhaustion in the tumour microenvironment, and there is evidence that dysfunctional T cells in the tumour microenvironment comprise both exhausted T cells and anergic T cells. First, most cancer types lack dominant immunogenic features because they do not express co-stimulatory molecules or inflammatory cytokines, as are generally present during viral or bacterial challenges204–207. As expected, this suboptimal priming of T cells in the tumour microenvironment can lead to anergy in tumour-specific T cells208–210. Second, the profound state of T cell dysfunction in tumour models appears very early after T cell activation, indicating that a substantial number of T cells might be anergic rather than exhausted211,212. Third, it has been shown that T cell dysfunction in tumours can be overcome through blockade of CTLA4 (REFS213,214) or LAG3 (REF.85), or agonism of OX40 (REF.215). These checkpoint molecules determine the outcome of T cell priming, indicating that T cell dysfunction in tumours may be partly due to the presence of anergic T cells. Finally, a recent study has shown that tumour-specific CD4+ T cells that are activated and proliferate in the tumour-draining lymph node become anergic and ultimately differentiate into peripheral regulatory cells216. Understanding the role of anergic T cells in tumour immunity is critical as recent in vivo findings suggest that PD1 blockade of subprimed (primed under conditions lacking optimal co-stimulation) anergic T cells can lead to worse therapeutic outcomes by worsening pre-existing T cell dysfunction212. Clearly, a comprehensive appreciation of the breadth of CD4+ (and CD8+) T cell anergy and the impact of checkpoint blockade on this process will lead to better therapeutic strategies to enhance tumour immunity.
Exhaustion
T cell exhaustion represents the predominant non-deletional tolerance mechanism at the T cell effector stage. The term ‘T cell exhaustion’ was coined by viral immunologists who described desensitized T cells in the context of chronic viral infections87,88. During an acute immune response such as the response to an acute infection, functional central memory T cell (TCM cell) and effector memory T cell (TEM cell) subsets arise from Teff cells. By contrast, when antigen stimulation persists, such as during chronic infection and in certain types of cancer, memory T cells can fail to develop properly89–91, and functionally compromised, persistently ‘exhausted’ T cells (Tex cells) dominate the antigen-specific repertoire. Compared with fully functional primed Teff cells, Tex cells display reduced but not absent responses to antigens at multiple levels. Characteristic features of Tex cells include (1) decreased cytokine production, (2) sustained, high levels of inhibitory receptor expression, (3) altered epigenetic, metabolic and transcriptional states and, importantly, (4) an inability to transition to the quiescence-like cell state observed in memory T cells (BOX 1). However, recent findings suggest that there may be differences in the Tex cell state in chronic viral infections and in cancer (BOX 3).
Box 3 |. Are there differences in T cell exhaustion in chronic infections and in cancer?
Recent findings suggest that there is a significant difference between T cell exhaustion in chronic viral infections versus cancer217,218. Although there are multiple phenotypic and molecular features of exhausted T cells (Tex cells) that are shared between both systems, including inhibitory receptor expression, Tex cells in tumour models often present with a profound defect in effector functions and an inability to control tumour growth and metastasis compared with chronic viral infection, where Tex cells show functional responses impeding lethality219. Second, tumour-specific Tex cells arise early after tumorigenesis220, and there is a clear consensus that most tumours cause suboptimal priming of T cells212,220,221, unlike most viral infection models, where appropriate T cell stimulation occurs initially. Earlier work using models of lymphocytic choriomeningitis virus infection suggested that blocking the PD1 pathway can reduce viral load177. However, molecular studies of the epigenetic state of Tex cells after PD1 pathway blockade showed a distinct inflexible epigenetic profile, which caused these Tex cells to sustain their dysfunction222. This study suggested that PD1 pathway blockade induces a transient transcriptional rewiring in the Tex cells that allows them to better engage modules of effector genes222. More recent work using single-cell T cell receptor sequencing in tumour systems showed that the clonality of the tumour-infiltrating cells after PD1 blockade did not match the Tex cell population, but the tumour-infiltrating cells were of novel clonotypes that had not existed in the same tumour223. This suggests that blocking the PD1 pathway does not significantly impact the tumour-infiltrating Tex cell population but rather prevents the exhaustion of newly generated tumour-specific effector T cells. Of equal importance, T cell anergy in the tumour microenvironment (see BOX 2) can markedly undermine this favourable impact of PD1 blockade on host defence212.
Initial studies of the Tex cell phenotype found that these cells express multiple inhibitory receptors, including PD1, LAG3, TIGIT, CD38, CD39 and TIM3 (REF.92). Indeed, subsequent work defined a stage of T cell exhaustion based on these markers93. However, we now know that these receptors are not exclusive features of Tex cells as (1) highly functional Teff cells can also express inhibitory receptors and mediators of exhaustion such as TOX94–96, (2) human T cells express some of these markers in the steady state and (3) their expression dynamically varies according to localization and differentiation state97,98. Another challenge is the difficulty in distinguishing Tex and anergic T cells on the basis of surface markers as these two states of T cell dysfunction overlap with regard to the expression of several of the inhibitory receptors. TCR stimulation is the central driver of T cell hyporesponsiveness and the resultant dysfunctional state for both Tex cells and anergic T cells. However, the key distinction between anergy and exhaustion is that anergic T cells arise early after T cell activation and priming, whereas Tex cells arise from Teff cells that have undergone productive activation, at the effector (memory-precursor) stage99. Moreover, the natures of the signals that induce these cell stages differ. Anergy is the product of co-stimulation-deficient T cell activation, whereas exhaustion occurs owing to chronic TCR stimulation in the presence of appropriate co-stimulatory signals.
On the molecular level, both anergic T cells and Tex cells express NFAT1 as an important driver of tolerance. However, the gene expression profile typical for Tex cells also appears to be determined by a complex transcription factor profile that includes reduced expression of TCF7 and increased expression of TOX, NR4A, BATF, IRF4, BLIMP1 and other transcription factors100,101. High-throughput transcriptional and epigenetic analyses identified several transcription factors induced by TCR stimulation that are involved in the induction of the Tex cell state and in allowing the Tex cells to survive beyond the Teff cell contraction phase. These transcription factors include NFAT, IRF4, BATF102, NR4A1 (REF.103) and TOX103–106. However, an important observation from these studies is the identification of a ‘progenitor’ or ‘precursor’ population of predysfunctional Tex cells that have self-renewal (stem cell-like) properties and re-expansion potential and are defined by the expression of the transcription factor TCF1 (also known as TCF7)107–109. Of note, this cell state is still inferior in effector function in comparison with fully functional Teff cells but is likely responsive to checkpoint blockade108. With prolonged activation, these progenitor Tex cells ultimately give rise to the terminally differentiated dysfunctional subset called ‘terminal Tex cells’.
Some consensus and controversies exist in defining the mediators and markers of exhaustion in mouse and human T cells. In both mice and humans, TCF7 has emerged as a transcription factor critical for defining the progenitor subset of self-renewing T cells that can re-expand even in settings of chronic infection or cancer110. A Tex cell immune signature predicted favourable prognosis in multiple human autoimmune and inflammatory diseases111. In transplantation, kidney transplantation from a CMV-positive donor into a CMV-negative recipient leads to an Tex cell state that may play a role in graft tolerance112. This is supported by mouse models where a Tex cell state is correlated with reduced graft rejection of heart and liver transplants113–115. Despite these similarities, there remains a great deal of mechanistic investigation to understand human T cell exhaustion.
Our understanding of T cell tolerance suggests that T cell exhaustion has several evolutionary benefits. From a systems perspective, Tex cells persist beyond the Teff cell lifespan and contribute to the containment of chronic viral infections. Second, exhaustion permits pathogen-specific T cells to curtail their activity to avoid persistent inflammation, tissue damage and chronic autoreactivity. This is important for host survival, as failure in the induction of exhaustion113–115 or reinvigoration of Tex cells in some viral models can induce immunopathology116,117.
Senescence
Senescence is defined as a growth and proliferative arrest stage that is induced when “cells reach the end of their replicative potential or are exposed to various stressors”118. As discussed already, chronic antigen stimulation can cause the functional exhaustion of Teff cells. However, repeated TCR stimulation or lymphocyte ageing can also induce telomere erosion and/or irreparable DNA damage, leading to a loss of the T cell replicative capacity on further antigen encounters, which occurs at the effector or memory stage of T cell differentiation. Telomere-dependent senescence occurs during extensive replication and can be the result of repeated clonal expansion and antigen recall (where pre-existing memory T cells respond to previously encountered antigens). However, it is now known that there are factors that can inhibit telomerase and accelerate senescence, such as interferon-α, which directly inhibits telomerase activity119. On the other hand, telomere-independent senescence can be induced by DNA-damaging agents such as reactive oxygen species (ROS) and ionizing radiation or by activation of the p53 pathway or other stress pathways in response to growth factor deprivation120. Strong TCR stimulation and oxidative phosphorylation as a result of high-affinity antigen encounter can enhance the production of ROS121,122, which can affect T cell function and induce cell death123. However, little is known about the role of telomere-independent senescence in T cell tolerance.
Studies on primary human T cells identified senescent T cells as poorly proliferative highly differentiated T cells that display the surface markers CD45RA, KLRG1 and CD57 but do not express the co-stimulatory receptors CD27 and CD28 (REF.124). Whereas CD27+CD28+ T cells have long telomeres, senescent T cells with the shortest telomeres lose expression of CD27 and CD28 but re-express CD45RA124–126. Unlike Tex cells, senescent T cells are not compromised with regard to effector function but acquire a senescence-associated secretory phenotype that is characterized by the production of high levels of pro-inflammatory and suppressive cytokines, despite their proliferative block124,125,127. Senescent T cells have constitutively activated p38 MAPK activity, and the inhibition of this activity can reconstitute proliferation and telomerase activity128. However, this constitutive p38 activity is not mediated by the canonical pathway of p38 activation through upstream MAPK, or the alternative pathway of p38 activation induced by the TCR, but rather is mediated through the intracellular metabolic sensor AMPK, which triggers p38 autophosphorylation via the scaffold protein TAB1 (REF.129). These findings suggest that senescence is actively maintained in T cells, as has been shown for other cell types. They also implicate DNA damage and nutrient sensing in the induction of T cell senescence.
Senescent T cells markedly accumulate with ageing, during chronic viral infections, in individuals with autoimmune disorders and in individuals with particular types of cancer125,130–132. From an evolutionary standpoint, senescence may protect against T cell lymphoma development by preventing the excessive proliferation of T cells with damaged DNA. Another benefit may be the local control of excessive inflammation during chronic autoimmunity or infections. It is unclear whether T cell senescence has any benefit during ageing, where instead it appears detrimental to T cell responses and productive immunity. Recently, a study showed that senescent CD8+ T cells lost TCR signalling in aged individuals and were reprogrammed to acquire an innate-like cytotoxic activity via the upregulation of the natural killer cell receptor NKG2D pathway. This CD8+ T cell to natural killer cell-like transformation was mediated via the stress-sensing protein Sestrin 2 (REF.133). However, T cell senescence can also lead to a loss of immune functions. For example, reports show a loss of memory T cell proliferative responses to antigens in senescent T cells, and the loss of clonal expansion in response to antigenic rechallenge134. These observations are important in the setting of vaccination of elderly people, where senescence may hamper the clonal expansion of T cells necessary for primary immune responses134–136.
One major challenge in advancing our understanding of T cell senescence is the almost complete absence of studies of T cell senescence in mouse models. This limits our knowledge of how reversible senescence is and whether therapeutic interventions to reverse senescence in T cells can enhance T cell memory and immunity. The senescence tolerance checkpoint may well become increasingly relevant as human life expectancy is increasing137, given that ageing individuals develop enhanced susceptibility to infections to which they were previously immune134,138. Immunity clearly diminishes with age, and a major factor in this decline is compromised T cell function139–141. Therefore, more mechanistic in vivo studies in multiple settings are needed to qualify and illuminate the relevance and setting of this tolerance checkpoint.
Peripheral deletional tolerance (death)
Multiple programmed cell death checkpoints exist at several stages of the T cell’s journey. However, the signalling cues that induce death in T cells vary according to stage of differentiation. Overall, deletional tolerance serves a central role in pruning the repertoire of peripheral T cells as well as in terminating the immune response after a productive immune challenge (such as during the contraction phase). However, unlike the other cell-intrinsic mechanisms of tolerance discussed in previous sections, this mechanism irrevocably eliminates clones from the repertoire. Although the role of clonal deletion in central tolerance is well studied, the role of T cell death in maintaining peripheral tolerance has been largely overlooked.
Co-stimulation-deficient T cell activation by either an antigen or a superantigen elicits naive T cell activation, limited proliferation anergy and/or death73,142. The precise conditions that result in the induction of anergy versus death under co-stimulation-deficient conditions are yet to be resolved. However, after the initial phase of T cell activation and proliferation in response to a tolerizing stimulus (co-stimulation-deficient antigen), a large proportion of T cells are rapidly lost by apoptosis, and the surviving minor population develop an anergic profile73,143,144. It has been presumed that the sole engagement of the TCR (signal 1) in the absence of co-stimulation (signal 2) governs the induction of cell death. However, recent studies have shown that genetic deficiency of VISTA on resting T cells spares T cells from TCR-induced death but does not affect the induction of anergy, whereas triggering through VISTA enhances tolerogen-induced death17. Therefore, there may be factors, in addition to TCR engagement by antigens, that regulate the magnitude of tolerogen-induced T cell death in the absence of co-stimulation.
A series of elegant studies in mouse models have defined the molecular aspects of death induced by a tolerogen of naive T cells. These studies demonstrated that cell death was mediated via the intrinsic proapoptotic family member BIM145,146, which is a distinct pathway from the extrinsic pathway of apoptosis mediated by death receptors such as FAS. Of importance, these findings support earlier work highlighting how co-stimulation via CD28 or γC cytokines (IL-7 and IL-4) augments T cell survival after activation via the upregulation of the antiapoptotic factors BCL-XL (REFS147–149) and BCL-2, respectively150,151. Highly resolved transcriptional profiling of mouse T cells under tolerizing versus immunizing conditions revealed a unique molecular signature of cells before apoptosis. This included the upregulation of genes such as Rankl (also known as Tnfsf11), Bim (also known as Bcl2l11) and the Nr4a family members Nr4a1, Nr4a2 and Nr4a3, coupled with the downregulation of the cytokine receptor IL-7Rα152, all changes that can lead to T cell death153,154. Of note, the expression and role of NR4A1 in multiple tolerance checkpoints (anergy72, exhaustion103 and death152) warrants further studies that elucidate the contribution of this regulator to each of these settings.
An important mechanistic finding was that the balance between the proapoptotic mediator BIM and the antiapoptotic mediator BCL-2 can determine the eventual fate of the tolerized T cell. It was shown in a model of antigen expression and tolerization of transgenic antigen-specific T cells that BIM-deficient T cells are resistant to deletion in response to tolerogenic stimulation but become equally anergic to their wild-type counterparts155. Additional studies are needed to define the exact mechanisms that lead tolerogenic stimulation to drive peripheral deletion versus anergy.
A second peripheral death checkpoint occurs when activated Teff cells are restimulated after activation, leading to activation-induced cell death (AICD)156,157 (more recently described as restimulation-induced cell death158). This cell death mechanism is induced by the extrinsic pathway of apoptosis via death receptors (the most well described is FAS (also known as CD95)159,160, but they also include TNFR1, TRAILR1 and TRAILR2161), which signal through caspase 8 to trigger downstream executioner caspases. The intriguing finding that mouse and human CD4+ T cells are selectively susceptible to FAS-mediated AICD162,163 whereas human CD8+ are more susceptible to TNFR1-mediated AICD164 is noteworthy and warrants further investigation. This peripheral deletion mechanism serves as a self-limiting feedback process to control T cell expansion and is essential for the process of clonal contraction, wherein antigen-specific Teff cells are eventually eliminated during the termination of an immune response. Co-stimulation is important in this context because signalling through CD28 helps in reducing AICD in T cells in the clonal expansion phase through the strong upregulation of the caspase 8 inhibitor cFLIP165 and the upregulation of antiapoptotic factor BCL-XL (REF.147). T cells are sensitive to FAS-induced AICD only after BCL-XL downregulation, which occurs later in the effector response. Therefore, T cells in the initial clonal expansion phase are spared from FAS-induced deletion by AICD. At present it is unclear how memory T cells survive this clonal contraction phase, although it is thought that their dependence on homeostatic cytokines and the upregulation of prosurvival molecules may play a central role160. For example, effector cells destined for memory cell differentiation exhibit higher IL-7R expression, although enforced IL-7R expression does not skew the cells towards a memory fate166. It has also been demonstrated that the sensitivity to IL-2 can determine the survival of these T cells, as IL-2RAhi Teff cells are more prone to apoptosis, whereas less-sensitive IL2RAlow cells give rise to long-lived memory T cells167. The findings regarding IL-2 may appear counterintuitive at first glance but are appreciated through examination of the dual role of IL-2 in T cell survival at different stages. During the initial phase of T cell activation, IL-2 promotes survival and clonal expansion. By contrast, during the down phase (clonal contraction at the end of a response), IL-2 promotes sensitization to restimulation-induced cell death by enhancing FASL expression and suppressing cFLIP expression168,169. In addition to these active mechanisms of T cell death induction, there remains substantial evidence that the absence of survival signals mediated by cytokines contributes to T cell death, termed ‘cytokine withdrawal-induced cell death’ or ‘activated cell autonomous death’. In this case, the absence of cytokine signalling reduces the levels of the antiapoptotic factors BCL-2 and BCL-XL, leading to increased expression and activity of BIM, which ultimately results in T cell apoptosis158,161,170.
Apart from apoptosis, there are multiple other mechanisms of T cell death that may contribute to peripheral T cell tolerance. One example is necroptosis (also called ‘programmed necrosis’, a type of programmed cell death that is caspase-independent and kinase RIPK3-dependent), which has been observed in T cells that are deficient in caspase 8 on TNF receptor signalling, impyling that caspase 8 is an inhibitor of necroptosis171. Ferroptosis (a type of programmed cell death that is dependent on iron) is induced through the accumulation of ROS that lead to membrane lipid peroxidation and subsequent cell death. It was recently shown that the ROS scavenger GPX4 is a critical survival mediator expressed by peripheral effector and memory T cells but not by thymocytes172. More importantly, several studies demonstrated that T follicular helper cells (TFH cells) are uniquely susceptible to caspase-dependent pyroptosis (a type of pro-inflammatory lytic programmed cell death that is triggered by inflammasome activation and mediated by caspase 1 (or caspase 11)) by the ionotropic ATP-gated receptor P2X7 in response to ATP173,174. Two very recent reports demonstrated pyroptosis in resting (unactivated) human T cells, where it was induced by the activation of caspase 1 through the inflammasome sensor CARD8. This is an exciting finding as this mechanism likely depends on danger signals and not TCR signalling175,176. This death pathway may therefore control the number of TFH cells and may restrain the pathogenic TFH cell states that are observed in conditions such as lupus erythematosus173.
Despite the complex multilayered networks of death pathways in T cell biology, there is an appreciation that this tolerance checkpoint mechanism remains the most efficient and most reliable means to restrain T cell expansion at almost every stage of T cell activity. This enables the control of the magnitude and timing of the immune response and thereby prevents the onset of T cell-mediated immunopathology.
Conclusion
The identification of numerous genes and networks that regulate T cell tolerance has yielded clues about the mechanisms that protect us from hyperinflammation and autoimmunity. Here, we argue that intrinsic T cell tolerance is regulated by multiple mechanisms that work in harmony to achieve both constitutive and negative-feedback regulatory mechanisms and sets a strong barrier against pathologic inflammation. Nevertheless, several outstanding questions remain about the relative contribution of these mechanisms to protection versus immune dysregulation. For example, it remains unclear how the constitutive regulators of naive T cell quiescence cooperate in maintaining this state, and the molecular activities of most of the factors involved remain elusive. Another ill-defined aspect is the impact of anergy versus death versus exhaustion in the induction of T cell tolerance in cancer. Given the lack of mouse studies on T cell senescence, the contribution of this mechanism to T cell tolerance in different settings (for example, viral infections) and its effector molecules remain to be better defined. Peripheral deletional tolerance has been appreciated as a tolerance regulatory mechanism for decades. Despite this, we remain ignorant of the potential contribution of cell death mechanisms such as necroptosis and ferroptosis to T cell fate and regulation. Finally, we have reached the stage where complex phenotyping of immune cells allows unprecedented resolution of cell states, including multiple T cell tolerance states in the same model system, with exquisite temporal resolution. This enables us to ask the question of what tolerance mechanisms predominate in each setting and what mediators are at play.
Acknowledgements
The authors thank S. Hedrick and C. Burns for their valuable suggestions and discussion.
R.J.N. is an inventor on patent applications (10035857, 9631018, 9217035, 8501915, 8465740, 8236304 and 8231872) submitted by Dartmouth College, and patent applications (9890215 and 9381244) submitted by Kings College London and Dartmouth College and is a co-founder of ImmuNext, a company involved in the development of VISTA-related assets. These applications cover the use of VISTA targeting for modulation of the immune response.
Footnotes
Competing interests
M.A.E. declares no competing interests.
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