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Perspective Free access | 10.1172/JCI15770
1Vienna Biocenter, Institute of Microbiology and Genetics, Vienna, Austria2 Institute of Animal Breeding and Genetics, Veterinary University of Vienna, Vienna, Austria
Address correspondence to: Thomas Decker, Vienna Biocenter, Institute of Microbiology and Genetics, Dr. Bohr-Gasse 9, A1030 Vienna, Austria. Phone: 43-1-4277-54605; Fax: 43-1-4277 9546; E-mail: decker@gem.univie.ac.at.
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1Vienna Biocenter, Institute of Microbiology and Genetics, Vienna, Austria2 Institute of Animal Breeding and Genetics, Veterinary University of Vienna, Vienna, Austria
Address correspondence to: Thomas Decker, Vienna Biocenter, Institute of Microbiology and Genetics, Dr. Bohr-Gasse 9, A1030 Vienna, Austria. Phone: 43-1-4277-54605; Fax: 43-1-4277 9546; E-mail: decker@gem.univie.ac.at.
Find articles by Stockinger, S. in: JCI | PubMed | Google Scholar
1Vienna Biocenter, Institute of Microbiology and Genetics, Vienna, Austria2 Institute of Animal Breeding and Genetics, Veterinary University of Vienna, Vienna, Austria
Address correspondence to: Thomas Decker, Vienna Biocenter, Institute of Microbiology and Genetics, Dr. Bohr-Gasse 9, A1030 Vienna, Austria. Phone: 43-1-4277-54605; Fax: 43-1-4277 9546; E-mail: decker@gem.univie.ac.at.
Find articles by Karaghiosoff, M. in: JCI | PubMed | Google Scholar
1Vienna Biocenter, Institute of Microbiology and Genetics, Vienna, Austria2 Institute of Animal Breeding and Genetics, Veterinary University of Vienna, Vienna, Austria
Address correspondence to: Thomas Decker, Vienna Biocenter, Institute of Microbiology and Genetics, Dr. Bohr-Gasse 9, A1030 Vienna, Austria. Phone: 43-1-4277-54605; Fax: 43-1-4277 9546; E-mail: decker@gem.univie.ac.at.
Find articles by Müller, M. in: JCI | PubMed | Google Scholar
1Vienna Biocenter, Institute of Microbiology and Genetics, Vienna, Austria2 Institute of Animal Breeding and Genetics, Veterinary University of Vienna, Vienna, Austria
Address correspondence to: Thomas Decker, Vienna Biocenter, Institute of Microbiology and Genetics, Dr. Bohr-Gasse 9, A1030 Vienna, Austria. Phone: 43-1-4277-54605; Fax: 43-1-4277 9546; E-mail: decker@gem.univie.ac.at.
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Published May 15, 2002 - More info
Innate immune responses derive from the ability of cells to rapidly combat invading microorganisms without the requirement for an antigen-specific adaptation. These mechanisms have evolved to recognize common microbe-associated molecular patterns and to interfere with conserved replication and survival strategies that support the propagation of microbial invaders. Here, we consider the contributions of one cytokine family, the IFNs, to these innate defense mechanisms. IFNs were first recognized for their ability to impede viral replication, a function that is indeed critical for host survival in response to viral infection. In addition, IFN signaling is now known to play key roles in defending the host from bacteria and other pathogens and to help integrate early, innate responses with later events mediated by the adaptive immune system.
The two recognized types of IFN exhibit distinct immunological properties (1). In humans and mice, type I IFNs include a number of IFN-α subtypes and a single species of IFN-β. (The immunological impact of another type I IFN, IFN-ω, is poorly understood and will not be considered here). While type I IFNs can be produced by all cells under appropriate conditions, a subpopulation of immature dendritic cells (DCs) that will be described in more detail below stands out for the extent of its contribution to overall IFN production during infections. IFN-γ is a type II IFN and serves not only to induce antiviral function, but also to activate macrophages, which strengthens innate responses to unicellular microorganisms (2). Unlike the type I IFNs, IFN-γ is produced by a limited number of cell types: activated NK cells, activated Th1 cells, and, in the presence of IL-12 and IL-18, activated DCs and macrophages. Expression of IFN-γ by Th1 cells provides an important link by which the adaptive immune response reinforces macrophage-based innate immunity.
A common property of both IFN types is to induce immediate transcriptional responses through a JAK-STAT signal transduction pathway (3). All type I IFNs bind to a class II cytokine receptor composed of IFN-α receptor 1 (IFNAR1) and IFNAR2 chains, which are associated with the Janus kinases (JAKs) TYK2 and JAK1, respectively. Ligand-bound, tyrosine-phosphorylated receptor complexes bind the SH2 domains of signal transducers and activators of transcription (STATs) 1 and 2, causing phosphorylation of the proteins on tyrosines 701 and 692, respectively. Interaction of STATs through reciprocal SH2 domain–phosphotyrosine binding results in formation of two distinct transcription factor complexes. ISGF3, a heteromeric complex consisting of STAT1 and STAT2 in association with a third protein, p48 or IRF9, associates specifically with and transactivates genes with interferon-stimulated response elements (ISRE)in their promoter or enhancer regions. A simpler complex, consisting solely of the STAT1 homodimer, is also active as a transcription factor and binds to different DNA sequences, termed IFN-γ–activated site (GAS) elements (Figure 1).
JAK-STAT signal transduction in response to type I and type II IFNs. Upon binding of ligand, IFN receptor–associated Janus kinases (JAKs) are activated and phosphorylate receptor chains on tyrosine. Cytoplasmic signal transducers and activators of transcription (STATs) bind to the phosphorylated receptors with their SH2 domains. JAKs associated with the type I IFN receptor (IFNAR) then phosphorylate STAT1 and STAT2 on tyrosine, causing the formation of predominantly STAT1-STAT2 heterodimers, and of STAT1 homodimers. IFN-γ receptor–associated (IFNGR-associated) JAKs phosphorylate STAT1, leading to the formation of STAT1 homodimers. STAT dimers translocate to the cell nucleus. Thereafter, STAT1-STAT2 heterodimers associate with a third protein, IRF9, and bind one class of type I IFN response elements, the ISRE, whereas STAT1 homodimers activate gene expression by binding to another class of IFN response elements, the GAS.
The receptor for IFN-γ is structurally related to that for type I IFN. It consists of IFN-γ receptor 1 (IFNGR1) and IFNGR2 chains in association with JAK1 and JAK2 kinases. Once tyrosine-phosphorylated in the presence of ligand, it binds STAT1 and causes phosphorylation of Y701. STAT1 homo-dimers are formed, move to the nucleus, and regulate transcription of promoters containing GAS sequences (Figure 1; ref. 4). Recent evidence indicates that nuclear responses can be stimulated by IFN-γ in the absence of STAT1 (5), but the transcription factors mediating the STAT1-independent response remain to be identified. In addition, some genes are induced by IFN-γ only in the absence of STAT1, suggesting that this protein can also mediate transcriptional repression.
Cells in culture respond to viruses by deploying a complex network of signaling molecules that initiate and then amplify the production of type I IFNs. At an early step in this pathway, the transcription factor IFN regulatory factor 3 (IRF3) becomes phosphorylated on serine residues by a still-unidentified kinase. Activated IRF3 then stimulates transcription of IFN-α4 and IFN-β, and these secreted “early” IFNs activate ISGF3 and its target gene Irf7. IRF7 closes a positive feedback loop of IFN production by initiating a second, larger wave of IFN gene expression, consisting of non-α4 IFN-α subtypes. Studies in virus-infected mice confirm the importance of the IRF7-dependent positive feedback loop but show that its relative contribution to overall IFN production varies. Some viruses cause secretion of the non-α4 IFN-α subtypes already early during infection. Constitutive expression of IRF7, or the employment of another IRF family member, e.g., IRF5, in the producing cell have been proposed as potential molecular causes for immediate production of all IFN-α subtypes (reviewed in ref. 6). In support of the positive feedback model, deletion of genes encoding the ISGF3 subunits blocks IFN production and thereby reduces antiviral responses (7, 8). Loss of IFN-β, likewise, reduces IFN-α production by virus-infected fibroblasts and increases sensitivity of mice to Vaccinia virus (9).
Although a number of type I IFN–stimulated genes (ISGs) show a clear link to the antiviral state (Table 1), mechanisms of action for most of these are poorly understood. Many have been cloned by cDNA subtraction or related methods and have not been shown to contribute to the antiviral state. Studies in gene-targeted mice clearly support a decisive role of the ISGF3 complex and its target genes in type I IFN–dependent innate immunity to virus. The individual knockouts of all three ISGF3 subunits cause severe loss of resistance to viruses, apparently of a similar magnitude to that resulting from disruption of Ifnar1 (10–13). Since STAT1 is a component of ISGF3 and contributes to both IFN-α/β and IFN-γ responses, it has been difficult to assess the role of STAT1 dimer target genes specifically in type I IFN responses. Experiments in genetically modified human cell lines suggest it may be of minor importance, but IFN-γ–treated cells are thought to achieve their potent antiviral state primarily through the action of the STAT1 dimer, rather than through activation of ISGF3 target genes.
The importance of type I IFN in innate antiviral responses is clear from studies in mice with targeted disruption of either Ifnar1 or Stat2 (13, 14). Such mice fail to clear a variety of viruses, such as vesicular stomatitis virus (VSV), Semliki Forest virus (SFV), Vaccinia virus (VV), and lymphocytic choriomeningitis virus (LCMV) and are prone to die from the corresponding viral infections. The loss of virus-specific cytotoxic T lymphocyte (CTL) responses seen in Ifnar1–/– mice is thought to result from exhaustion of cytotoxic T cells due to overwhelming viral burden (14). Since IFN-nonresponsive mice do not display a general impediment in mounting adaptive immune responses, the main defect in antiviral immunity is likely to result from the innate component, the establishment of an antiviral state. Besides producing an antiviral state, the IFNs (particularly the type I IFNs) can affect the rate at which infected cells undergo apoptosis (15). The contribution of this apoptotic response to viral clearance not known.
A fairly complex picture of IFN function has emerged from studies with influenza virus. Mouse lines with a wild-type allele of the type I IFN–inducible Mx gene show increased resistance compared with those with a mutated Mx, corroborating cell culture studies indicating that Mx can efficiently interfere with influenza virus replication (16). In Mx-deficient mice (including most inbred mouse lines), type I IFN and STAT1 determine the tissue tropism of influenza infection (17, 18). In infected lungs, where the antiviral state makes only a minor contribution to viral clearance, the major effect of IFN is to regulate the inflammatory environment. When a hemorrhagic form of the influenza virus progresses beyond the respiratory system in an Mx-deficient animal, the type I IFN– and STAT1-dependent antiviral state of infected cells appears to be a major determinant for its clearance.
The importance of IFN-γ in innate antiviral immunity depends greatly on the type of infecting virus. While IFN-γ–deficient mice and IFNGR1-deficient mice show an unimpaired ability to cope with VSV or SFV infections, their susceptibility to VV or to LCMV is strongly increased (14, 19, 20). Indeed, mice in which both Ifnar1 and Ifngr1 are disrupted display an additive susceptibility to VV and LCMV, compared with the individual knockouts (21). Taken together, the studies suggest that in animals, the two IFN types are complementary and to some extent nonredundant with respect to innate resistance to different viral pathogens. Whether this reflects different conditions of synthesis, a qualitative difference of the respective antiviral states, or distinct immunoregulatory properties still needs to be clarified.
Many cell types, particularly macrophages and DCs, produce type I IFN following exposure to bacteria and protozoa (22). In most cases, the molecular mechanism by which type I IFN synthesis is stimulated is unknown. However, IRF3 has been shown to be activated by LPS (23, 24) or by infection of macrophages with the intracellular pathogen Listeria monocytogenes (S. Stockinger and T. Decker unpublished observations), suggesting that, as in viral infections, this transcription factor may be an important mediator of bacteria-induced IFN production.
The contribution of type I IFNs to innate immunity against bacteria or protozoa appears to vary with the particular microorganism. The mortality of IFNAR1- or STAT2-deficient mice after infection with L. monocytogenes is similar to that of wild-type mice (13, 21), but the bacterial loads found in livers and spleens are significantly lower in STAT2-deficient than in wild-type mice (C. Schindler, personal communication). Studies from our laboratories show that type I IFNs sensitize infected macrophages to L. monocytogenes–induced cell death in a STAT1-dependent manner (S. Stockinger et al., unpublished observations). Whether this is the underlying cause of the adverse effect of type I IFN in vivo remains to be shown. Likewise, there are few experimental data to indicate whether type I IFNs generally delay the clearance of intracellular bacteria. In support of this notion, a study of mice infected with Mycobacterium tuberculosis reported that bacterial virulence correlates directly with the ability to produce type I IFNs, and that the administration of recombinant IFN-α exacerbates lung disease (25). However, an independent examination of M. tuberculosis infection found a slightly enhanced replication of the bacteria in the lungs of IFNAR1-deficient mice compared with wild-type controls (26). Therefore the impact of type I IFN may vary with yet undefined parameters of the host-pathogen interplay.
Like L. monocytogenes, the protozoan parasite Leishmania major multiplies inside macrophages. However, in this case, mice benefit from the synthesis of and response to type I IFNs (27), which synergize with the parasite in stimulating the expression of inducible nitric oxide synthase (NOS2 or iNOS); NO production appears to limit the spread of the pathogen in the infected host. Exposure to LPS or viruses, as well as to L. major, induces expression of NOS2, particularly in the presence of type I IFN. The importance of this synergistic response is clear in the case of LPS, where the bacterial product stimulates macrophages to produce IFN and both together then stimulate NOS2 expression. This model of IFN-β’s role as a secondary mediator of responses to bacterial stimuli of toll-like receptor 4 (TLR4) appears to apply more generally to genes linked to JAK-STAT signaling (28) and has been validated by work in Tyk2-deficient mice (29). Due to their lower production of, and lower responsiveness to, type I IFNs, macrophages from these mice fail to produce NO following LPS treatment. Taken together, these findings suggest that type I IFNs and their stimulation of JAK-STAT signaling may be advantageous where NO is crucial in clearing or limiting an infection.
IFN-γ appears to act by at least two distinct mechanisms to augment innate cellular immunity. The main target of IFN-γ activity is the macrophage, and a plethora of investigations document the increased ability of IFN-γ–activated macrophage cultures to kill ingested bacterial or protozoan pathogens (2). The NADPH oxidase subunits, NOS2, lysosomal enzymes, and tryptophan-metabolizing enzymes — involved in the killing of ingested microorganisms by, respectively, reactive oxygen species, NO radicals, breakdown, and tryptophan depletion — are among the gene products induced by IFN-γ (Table 1). Some of these factors have been shown to be regulated by STAT1, explaining the increased susceptibility of STAT1-deficient mice to bacterial pathogens. In addition to arming macrophages for enhanced killing of microbes, a second important function of IFN-γ is to enhance the synthesis of cytokines that contribute to antimicrobial immunity in vivo. The IL-12 p40 subunit represents one well-documented example, but a similar situation may apply to TNF-α, IL-1, and possibly other cytokines.
Converging evidence from a number of different experimental approaches demonstrates the importance of IFN-γ in host defense, particularly against pathogens spending at least part of their life cycle inside cells, such as species of the genera Listeria, Mycobacterium, Salmonella, Chlamydia, and Leishmania (11, 19–21, 30–33). Treatment with recombinant IFN-γ or, conversely, abrogation of IFN-γ responsiveness (either genetically or by treating with neutralizing antibodies) consistently reveals the cytokine to be a major determinant of pathogen persistence or clearance and of host survival. Remarkably, the impact of IFN-γ can vary considerably among species of a given bacterial genus, as in the case of Mycobacterium (34), or even among different attenuated variants of Salmonella typhimurium carrying mutations in different virulence genes (35). Hence, there must be a close relationship between particular virulence strategies and the IFN-γ–dependent defense mechanisms.
Infection studies in mice make it hard to distinguish the effects of IFN-γ on innate immunity, like the activation of macrophages, from its effects on adaptive immunity, like the generation of Th1 cells and CTLs. However, the importance of the former responses, at least during the initial exposure to a pathogen, is seen in studies like that of Harty and Bevan (36), who found that naive animals resist virulent L. monocytogenes mainly through IFN-γ–dependent innate immunity, with NK cells being the main source of IFN-γ (37). By contrast, immune animals combat the bacterium in a CTL-dependent, but largely IFN-γ–independent, fashion. The crucial roles of IFN-γ and STAT1 in defense against intracellular pathogens have also been demonstrated in humans with mutations in STAT1 or the IFN-γ receptor chain genes (38, 39). In all cases, these mutations result in an increased susceptibility to infection with Mycobacterium. The STAT1 mutation (L706S) reported by Dupuis and colleagues (39) is particularly interesting because it behaves as a dominant with regard to the formation of a STAT1 dimer in response to IFN-γ, but as a recessive with regard to the formation of ISGF3 upon IFN-α treatment. As a result, heterozygous individuals display an increased risk of contracting mycobacterial and other bacterial infections, but an apparently normal innate response against viral pathogens. This finding is consistent with previous suggestions that ISGF3 target genes are sufficient to build up an antiviral state against most viruses, but that STAT1 dimer target genes are required for innate immunity against intracellular bacteria.
Bacteria and their products can directly influence STAT1’s activity as a transcription factor. In addition to phosphorylation on Y701, STAT1 must be phosphorylated on S727, in its carboxy-terminal transactivation domain, for full activity (40). Whereas bacteria do not directly induce the former modification, they can rapidly stimulate STAT1 S727 phosphorylation via p38MAPK (41), leaving STAT1 primed for increased transcription factor activity following IFN-stimulated tyrosine phosphorylation. Complicating this model of the effects of microbial infection is the finding that a prolonged encounter of macrophages with bacteria leads to the synthesis of suppressors of cytokine signaling (SOCS), proteins that can block the action of specific STATs (41, 42). Therefore, the duration of the bacterial stimulus on macrophages is of critical importance for its effect on transcriptional responses to IFN. The complexity of the situation makes it hard to assess the importance of the interplay of bacterial and IFN stimuli on JAK-STAT signaling in an infected host.
An important property of the innate immune system is that it translates its encounter with microorganisms into an appropriate stimulation of the adaptive immune system. For several reasons, DCs represent a major link between the innate and adaptive immune responses (43). DCs are the most potent antigen-presenting cells and the dominant cell type in the activation of naive T cells. Different subsets of DCs are thought to determine which type of immunity dominates the response to a given antigen (44). In humans, DC1 (myeloid) and DC2 (plasmacytoid) subsets have been defined based on their ability to produce, respectively, high or low amounts of IL-12 and thus to promote the generation of Th1 or Th2 cells. However, the simple beauty of this model has not held up on further study: DC1 and DC2 cells, maturing from their pre-DC1 and pre-DC2 progenitors under various conditions, show a high degree of plasticity with respect to their ability to stimulate Th1 or Th2 differentiation (45).
Among human leukocytes, pre-DC2 cells represent the major type I IFN–producing cells (46, 47). Production of IFN can be stimulated by microbes or their products — viral surface components; double-stranded RNA (48, 49), a ligand of TLR3; and nonmethylated CpG oligonucleotides (50), a ligand for TLR9. The vast quantities of type I IFNs produced following exposure to any of these inducers influence the biology of DCs in several respects. First, they promote pre-DC2 differentiation to DC2 by serving as a survival factor (51). In addition, they alter the character of the downstream DC and T cell response. Unlike DC2 cells maturing in the presence of IL-3, which cause Th2 differentiation, virus-induced DC2 cells induce the generation of a Th subset producing large amounts of IFN-γ as well as IL-10 (51). In this situation, DC2-derived IFN-α most likely stimulates the synthesis of IFN-γ by T cells, bypassing the usual requirement for IL-12. Because IFN-α suppresses the ability of CD14+ monocytes to mature to DCs (52) and promotes the apoptosis of monocyte-derived DCs in response to bacterial stimuli (53), it appears that the maturation-promoting effect of type IIFN is restricted to plasmacytoid pre-DCs. As in humans, an immature DC (CD11c+, Gr-1+, B220+) synthesizing large quantities of IFN has been identified in mice and shown to belong with a plasmacytoid, CD8– DC subpopulation (54, 55). CD8+ and CD8– DCs in mice are usually taken to correspond to the human DC1 and DC2 subpopulations, respectively. Finally, IFN-α has been implicated in DC cross-inhibition, whereby DC2s suppress IL-12 production by DC1s (56).
Work with IFNAR-deficient mice confirms the importance of DC-derived type I IFNs and DC responses to these cytokines for priming a clonal immune response. In wild-type mice, IFN-α efficiently substitutes for CFA in the generation of an efficient humoral immune response. Consistent with this, CFA itself fails to show normal adjuvant activity in the absence of IFNAR expression, and adoptively transferred wild-type DCs can rescue the adjuvant activity of type I IFN in Ifnar–/– mice (57). Together, the data suggest a model for adjuvant responses in which the bacterial components (in CFA, for example) stimulate TLRs, which promote type I IFN production. This in turn stimulates DCs to generate and activate Th cells. The finding that human DC subsets differ in their expression of individual TLRs (50) suggests that type I IFN production and the subsequent generation of adaptive immune responses vary depending on which microbe stimulates one or another DC subset.
NK cells play an important role as producers of IFN-γ. NK cell–derived IFN-γ activates macrophages and serves later in the course of an immune response as a regulator of Th differentiation. Human and murine NK cells behave differently when stimulated by type I IFNs. As with Th cells, human but not murine NK cells produce IFN-γ in response to these cytokines (58). The behavior of STAT4 in human and murine cells explains this species difference: STAT4 is required in Th1 and NK cells to activate IFN-γ transcription in response to IL-12. Type I IFNs stimulate human NK cells to activate STAT4, because the protein interacts via the STAT2 C-terminus with the type I IFN receptor complex and becomes phosphorylated on tyrosine. By contrast, the C-terminus of the murine STAT2 carries a short insertion that disrupts this interaction, preventing the recruitment and activation of STAT4 (59). Curiously, IFN-α is not simply inert with respect to IFN-γ synthesis in the mouse but actually decreases the ability of murine NK cells to synthesize IFN-γ in a STAT1-dependent manner (60). A molecular mechanism for the antagonism between STAT1, activated by type I IFN, and STAT4, activated by IL-12, remains elusive.
In recent years the role of type I IFN as antiviral agents and the prominent role of IFN-γ as a macrophage-activating cytokine have been confirmed and extended in mice deficient in their response to one or both IFN types, but much still remains to be learned about IFN target genes that establish the antiviral state in response to different viruses, or that alter the ability of macrophages to control various pathogens. The importance of STAT-dependent (and perhaps also STAT-independent) immunoregulation of macro-phage, DC, and NK cell responses by the IFNs is only beginning to be understood and will require further attention. Recent evidence for an IFNAR1-, STAT1-dependent signal occurring in the absence of ongoing immune responses to regulate MHC I expression suggests that a weak constitutive production of type I IFN keeps the host organism in a state of alertness to incoming virus (61). Despite the intensity of IFN research over several decades, the mechanisms of IFN signaling and their impact on immune responses are far from being understood.
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