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Interferons  and hepatitis C virus

Review article: Medical intelligence | Published 9 May 2012, doi:10.4414/smw.2012.13586
Cite this as: Swiss Med Wkly. 2012;142:w13586

Source

Markus H. Heim
 University Hospital,  Basel, Switzerland

Interferons  are not only the first line of defence against viral infections
such as  hepatitis C virus infections, but they also have important roles during
the  chronic phase of viral infections. For over 20 years now, recombinant 
interferon alpha has been used for the treatment of chronic hepatitis C. The 
molecular mechanisms responsible for non-response to interferon are still not 
completely understood, but systematic analysis of liver biopsies revealed that 
the spontaneous activation of the endogenous interferon system in the liver of 
patients with chronic hepatitis C prevented response to interferon-based 
therapies. Moreover, recent genomewide association studies found a highly  significant and
strong association between genetic variants near the IFNλ3 gene, designated the
IL28B  genotype, with spontaneous clearance of hepatitis C virus as well as with
  response to treatment of chronic hepatitis C with pegylated interferon alpha 
and ribavirin. The molecular pathways that link the IL28B genotype with 
antiviral effector systems of the innate and adaptive immune system are not 
known. However, substantial progress has been made in basic understanding of 
the induction of interferons through toll-like receptor and RIG-I/MDA5 pathways,
  and of interferon-induced signalling pathways and antiviral effector systems. 
Over the last two decades, hepatitis C virus has been an important tool for 
study of the fundamental aspects of host-virus interactions in a chronic viral 
infection. Further insights into the viral escape strategies that allow 
hepatitis C virus to persist for decades despite an ongoing innate and adaptive 
immune response will eventually allow the rational development of preventive 
vaccines.

 Key words: hepatitis C virus; interferon;  Jak-STAT signalling

Abbreviations:

AHC  acute hepatitis C
 CHC  chronic hepatitis C
HCV  hepatitis  C virus
IFN  interferon
Jak  Janus  kinase
STAT  signal  transducer and activator of  transcription
IL28B  interleukin  28B
ISG  IFN  stimulated gene
TLR  toll-like  receptor
IRF  interferon  regulatory factor
pegIFN  pegylated interferon

Introduction
Chronic  hepatitis C (CHC) affects hundreds of millions of
people worldwide [1]. Hepatitis C virus (HCV) replicates in 
hepatocytes. Viral infection provokes an initial immune response that 
eliminates the virus in 15% to 45% of patients during acute hepatitis C (AHC)
[2]. However, in the majority of infected 
individuals, HCV infection becomes chronic. There is evidence that a strong and 
multispecific T-cell response is an important host factor for spontaneous viral 
eradication [3]. More recently,  genomewide association studies
revealed a very strong association between  allelic variants of the interleukin
28B (IL28B) gene locus with spontaneous  clearance [4, 5]. This finding provides 
evidence for a decisive  role of the innate immune system in HCV clearance, 
because the IL28B gene  encodes the type III interferon IFNλ3.
The induction of type I (IFNα and β) and  III (IFNλ) interferons in infected cells is 
an early and crucial event in the  host defence against viruses. How the allelic 
variants discovered near the  IL28B gene can influence the host response to
HCV  is at present unknown and  remains one of the most intriguing questions
in the  field.


Interferons  are not only important for the initial host response to HCV, but
remain key  components of the immune response during the chronic phase of
hepatitis C which  lasts decades and can lead to cirrhosis and
hepatocellular carcinoma. In a substantial  group of patients with CHC the
endogenous IFN system in the liver is constantly  activated, and hundreds of IFN
stimulated genes (ISGs) are strongly expressed  in hepatocytes [6–10].
Again, there is an  association of genetic  variants near the IL28B gene and ISG
expression in the  liver [11–13], but the molecular pathways  that link the IL28B
genotype with induction of ISGs are at present unknown.  Also, viral escape
strategies allowing HCV to persist despite such strong  activation of the
hepatic IFN system are poorly understood. Most intriguingly,  activation of the
endogenous IFN system is not only ineffective in clearing  HCV, but also
strongly inhibits the response to IFN-based therapies [8–10].


Recombinant  IFNα was first used in 1986, even before the
discovery and cloning of  HCV in 1989, for the treatment of chronic non-A/non-B
hepatitis, now known as CHC [14]. Since then, IFNα has remained a key component of
all  therapies against CHC. Initially, unmodified recombinant IFNα2 was injected
3 times a week for  6–12 months. This monotherapy cured 15–25% of patients. In
the late 1990s  recombinant IFNα2 was combined with ribavirin, improving the 
sustained virological response rates to 30%-40% [15].  In 2001/2002,
pegylated IFNα2 (pegIFNα2)  replaced unmodified IFNα2. Because of its longer
serum  half-life the dosing  interval could be increased to one week.
Also, it further  increased cure rates  to 40%–50% [16, 17]. 
More recently, triple therapies with protease  inhibitors (telaprevir or  boceprevir), pegIFNα2
and ribavirin were shown to  improve response  rates in patients infected with
HCV genotype 1 to 65%–80% [18–20]. From the early days of CHC treatment  up to the
present, triple therapies, a patients intrinsic response to injected  (peg-)IFNα
was the key determinant of treatment failure and success. The search for host 
and viral factors that determine response to IFNα has so far revealed two major 
components. First, patients with a constitutive induction of ISGs in the liver 
during CHC are non-responders [9, 10],  and second, IL28B genotype is strongly
associated with response to peg IFNα/ribavirin [4, 21–23]. For both components
the molecular pathways  linking them  to non-response are unknown.

Hepatitis C virus
HCV was  identified as the causative agent of non-A non-B
hepatitis in 1989 [24]. HCV is a member of the Flaviviridae  family,
which includes flaviviruses (yellow fever, dengue and tickborne,  encephalitis
viruses), the animal pestiviruses (e.g. bovine viral diarrhoea  virus) and GB
viruses A (GBV-A), GBV-B and GBV-C [25]. Humans are the only natural host and reservoir
of HCV.  Chimpanzees can be experimentally infected, but natural transmission
from one  animal to the next has not been described. There are ongoing efforts
to develop  “humanised” mouse models, but up to now chimpanzees remain the only 
immunocompetent animal model. HCV replicates in human hepatocytes. The fraction 
of infected hepatocytes in the liver of patients with CHC is not known, since 
there are still no reliable and reproducible methods of detecting HCV in liver 
biopsies. An estimated 1012 virions are
released per day from the  liver of an infected individual, and same number are
cleared daily from the  blood [26]. The calculated serum  half-life of a virion is
2–3 hours. In a typical infection, serum viral loads  range from 104 to 107 IU/mL (1 IU/mL ≈
2.5 copies/mL).


HCV is a  positive, single-stranded RNA virus with a 9.6
kb genome (figure 1). The genome  is composed of a 5’-non-coding region (NCR),
an open reading frame that encodes  10 viral proteins, and a 3’-NCR. Three structural
proteins, the core protein  and the two glycoproteins E1 and E2, form the viral
particle. The non-structural (NS) proteins include the p7 ion channel, the NS2–3
protease,  the NS3 serine protease and RNA helicase, the NS4A polypeptide (a
cofactor for  NS3 protease), the NS4B protein involved in the formation of the
membranous  web, the NS5A protein with unknown function, and the NS5B
RNA-dependent RNA  polymerase [27].

 There are  6 HCV genotypes that differ in their nucleotide
sequence by 30–35% [28]. Within an HCV genotype subtypes (i.e. HCV 
genotype 1a, 1b) differ in their nucleotide sequence by 20–25%. Because of the 
high replicative activity of HCV, and the lack of a proof-reading function of 
the viral RNA dependent RNA polymerase, there is high genetic  variability even
within HCV subtypes. The heterogeneous population of HCV  genomes that coexist
in an infected individual are termed quasispecies. HCV  genotypes do not cause
different diseases and the natural course of the disease  is the same. However,
they have different susceptibilities to (peg)IFNα2. Over 75% of patients
infected  with genotypes 2 and 3 can be cured with pegIFNα2/ribavirin
combination therapy,  whereas the sustained virological response in genotype 1
infected patients is  below 50% [29]. Furthermore, several of  the new direct-acting
antiviral drugs are effective in specific genotypes only.  For example,
telaprevir and boceprevir, the two drugs presently approved for  CHC treatment
in the USA and Europe, are only effective against HCV genotype 1.

Patients  with CHC may have nonspecific symptoms including
fatigue and malaise, but many  patients are asymptomatic. HCV infection is
usually detected either through  screening of high risk populations (i.e.
intravenous drug abuse, history of  blood transfusion before 1990), or during a
diagnostic workup of elevated liver  enzymes. It is estimated that 20–30% of
patients with chronic HCV infection  will develop cirrhosis over the course of
20–40 years [30–32], but that the majority will never progress to
this stage.  Cirrhosis is associated with portal hypertension and can lead to
ascites,  encephalopathy, variceal bleeding, coagulopathy, spontaneous bacterial
  peritonitis and, most gruesome, to hepatocellular carcinoma (HCC). The yearly 
incidence of HCC in patients with cirrhosis and active hepatitis C is 2%–5%. 
HCV associated end-stage cirrhosis is one of the leading motives for liver 
transplantation in the developed world.

 CHC may  also be associated with extrahepatic diseases
such as mixed cryoglobulinaemia  vasculitis, Sicca/Sjögren’s syndrome,
thrombocytopenia, insulin resistance and  diabetes mellitus, lichen planus, and
B-cell lymphoproliferative disorders [33]. 

The  current standard of care for patients infected with
HCV genotype 1 consists of  triple therapy with an NS3 protease inhibitor
(boceprevir or telaprevir),  pegIFNα2  and ribavirin. The treatment is given for
6–12 months, depending on previous  treatment history, absence or presence of
cirrhosis, and the initial response  to treatment [34]. All other HCV  genotypes are treated with a
combination of pegIFNα2 and ribavirin [35]. CHC treatment is undergoing rapid  changes.
Several dozens of new direct-acting antiviral drugs are presently in  clinical
development, many of them active against all genotypes [36].
No vaccine against HCV is available. HCV  has several strategies for  evading
the  host immune response, including the capacity to undergo antigenic escape
and to  inhibit the host immune response at several levels. Hence the development
of a  preventive or therapeutic vaccine remains a major challenge for future HCV  research [37, 38].

Figure 1
Genetic  organisation of hepatitis C virus (HCV).
Internal ribosomal entry site  (IRES)-mediated translation of the
positive-strand RNA genome yields a 3011  long polyprotein that is cleaved into
10 proteins by cellular and viral  proteases.
Picture

Interferons
Interferon  was identified more than 50 years ago by
Isaacs and Lindenmann during their  studies of the phenomenon of viral
interference, the ability of an active or  inactivated virus to interfere with
the growth of an unrelated virus [39]. Today, more than 10 mammalian IFN species  and
numerous subspecies have been discovered, each with individual properties,  but
all having antiviral activity [40].  They are currently classified into three
groups: type I, type II and type III  IFNs. The type I IFNs include all IFNαs,
IFNβ, IFNε, IFNκ, IFNω and IFNν [40]. Humans have 12 different IFNαs and a single
IFNβ. Type I IFN genes are clustered on  the human chromosome 9. Each subtype is
encoded by its own gene and regulated  by its own promoter, and none of them
contain introns [41]. The different IFNαs and IFNβ differ
substantially in their specific  antiviral activities and in the ratios of
antiviral to antiproliferative  activities. However, the molecular basis of
these differences is not yet known.  All type I IFNs bind to the same interferon
alpha/beta receptor (IFNAR) which  consists of two major subunits: IFNAR1 (the a
subunit in the older literature) [42] and IFNAR2c (the βL subunit) [43, 44]. 

There is  only one class II IFN, IFNγ. IFNγ is produced by
T lymphocytes when stimulated  with antigens or mitogens. IFNγ binds to a
distinct receptor, the interferon  gamma receptor (IFNGR) consisting of the two
subunits IFNGR1 (previously α chain) [45] and IFNGR2 (previously β chain or accessory
factor) [46, 47].

 The more  recently described type III IFNs IFNλ2, IFNλ3
and IFNλ1 are also known as IL28A, IL28B  and IL29 respectively [48, 49]. The same  as
type I IFNs, they are also induced by viral infections [50–52]. They signal through the
 IFN-λ receptor consisting of the IL-10R2  chain shared with the IL-10 receptor, and a unique
IFNλ chain [48, 53].

Induction of interferons
Cells  produce IFNαs, IFNβ and IFNλs in response to
infection by a  variety of viruses. Unlike bacteria and fungi, which have
microbe-specific  structures distinguishable from host cell structures, viruses
are made  predominantly of host-derived components. Given the lack of virus
specific  proteins or lipids, the cellular receptors that detect viruses have
instead  evolved to recognise the presence of the viral genome composed of
nucleic  acids. Two important pathways that detect viral genomes and induce type
I and  type III IFNs have been discovered and characterised in recent years: the
  toll-like receptor (TLR) dependent pathway [54,  55] and the cytosolic pathway triggered
by binding of  viral RNA to the  RNA helicases retinoic acid inducible gene-I (RIG-I) and
melanoma  differentiation antigen 5 (MDA5) [56, 57].


TLRs are a  family of transmembrane pattern recognition
receptors (PRRs) that recognise  microbial pathogen associated molecular
patterns (PAMPs) and activate the  expression of genes involved in inflammatory
and immune responses [55]. There are at least 10 human TLRs, and 3  of them
are involved in the recognition of viral infections: TLR3, TLR7 and  TLR9. TLRs
are expressed on various immune cells such as macrophages, dendritic  cells,
B-cells, but also on fibroblasts and epithelial cells. While TLRs  involved in
the recognition of bacterial components are expressed on the cell  surface,
TLR3, TLR7 and TLR9 are localised in intracellular compartments such as 
endosomes. TLR3 recognises dsRNA (e.g. HCV-RNA) [58],  TLR7 detects ssRNA [59, 60]
and TLR9  interacts with unmethylated DNA with CpG motifs [61].  TLR activation
induces signalling cascades that  mainly involve the key  transcription factors NF-κB
and various interferon  regulatory factors  (IRFs) (figure 2). Specifically, IRF3 and IRF7
have both distinct and essential  roles for virus induced transcriptional activation of
IFNβ [62]. IRF3 is constitutively expressed in most  cells,
whereas IRF7 is expressed at low levels and is strongly expressed only  after
stimulation of cells with type I IFNs [63].  TLR3 uses the adapter protein Trif and the
kinase TBK1 to activate mainly IRF3  in conventional dendritic cells and
macrophages, whereas TLR7 and TLR9 induce  the expression and secretion of large
amounts of type I IFNs in plasmacytoid  dendritic cells through the adaptor
molecule MyD88 which directly interacts  with IRF7 (not IRF3) [64, 65]. The MyD88  pathway requires the
IRAK4–IRAK1–IKKα kinase cascade to activate both IRF7 and the  NF-κB  pathway
[66].

The  cytosolic pathway of type I and III IFN induction is
initiated by recognition  of viral 5’triphosphate RNA and dsRNA by RIG-I and
MDA5. Binding of viral RNA  induces a conformational change of these sensors
that results in binding to  MAVS (Cardif, VISA, IPS-1), an essential downstream
adaptor in the cytosolic  pathway [67–70]. Through as yet  unidentified mediators, MAVS
then propagates the signal to the TBK1 and IKKi  kinases that finally activate
the transcription factors IRF3 and NF-κB. Activated IRF3 and NF-κB bind to
response elements in the  promoters of type I and III IFN genes (figure 2). 

The  initial release of IFNs activates a very powerful
positive feedback loop able  to produce high local IFN concentrations. IFNs bind
to IFN receptors on the  same cell or on neighbouring cells, activate the
Jak-STAT pathway and further  induce IFN gene transcription [63].

Figure 2
Induction  of IFNs.Viral infections are sensed  by two important pathways:
the toll-like receptor (TLR) dependent pathway and  the cytosolic pathway triggered
 by binding of viral RNA to the RNA helicases  retinoic acid inducible gene-I (RIG-I)
 and melanoma differentiation antigen 5  (MDA5). RIG-I and MDA5 signal through MAVS
and TBK1 to activate the transcription factors IRF3 and NFκB. TLR3 signalling depends
on the adaptor TRIF to activate TBK, IRF and NFκB, whereas TLR7 and TLR9 use
the MyD88-IKKα pathway  to activate IFN gene  transcription

Picture

Interferon signalling through the Jak-STAT pathway
The receptor-kinase complex
 The receptor complex for type I IFNs consists of  IFNAR1
(the a subunit in the older literature) [42] and IFNAR2c (the βL subunit) [43, 44].
Each receptor subunit constitutively binds to a single  specific member of the Janus
kinase (Jak) family: IFNAR1 to tyrosine kinase 2  (TYK2) and IFNAR2c to Jak1 (Figure
3
). Upon binding of the two chains by type I  IFNs, TYK2 and JAK1
transactivate each other by mutual tyrosine phosphorylation,  and then initiate
a cascade of tyrosine phosphorylation events on the  intracellular domains of
the receptors and on signal transducer and activator  of transcription (STAT) 1,
STAT2 and STAT3. The IL-10 receptor binds to Jak1, the IFN-λ chain to Tyk2.
IFNGR1  (previously α chain) [45]  and IFNGR2 (previously β chain or accessory
factor) bind to Jak1  and Jak2, respectively [46, 47].


Signal transducers and activators of transcription


In most  cells, type I IFNs activate STAT1, STAT2 and
STAT3. STAT1 and STAT2 combine  with a third transcription factor, IRF9, to form
interferon-stimulated gene  factor 3 (ISGF3). ISGF3 binds to interferon
stimulated response elements  (ISREs) in the promoters of IFN stimulated genes
(ISGs). Alternatively, IFN  activated STAT1 and STAT3 can form homodimers or
STAT1–STAT3 heterodimers.  These STAT dimers bind a different class of response
elements, the gamma  activated sequence (GAS) elements. Once bound to the
promoters of ISGs, STATs  induce the transcription of genes involved in the
generation of an antiviral  state [71, 72].


STAT  proteins are between 750 and 850 amino acids long.
They share well-defined,  structurally and functionally conserved domains
including the amino-terminal  (NH2), coiled-coil, DNA-binding, linker, SH2,
tyrosine activation, and  transcriptional activation domains (figure 4) [73]. 
The N-terminal domain is important for
homotypic dimerisation of inactive STATs  and for cooperative DNA binding to
tandem GAS elements [74, 75]. The coiled-coil domain is a protein interaction
domain.  Binding to GAS elements is provided by the adjacent DNA binding domain.
The SH2  domain has a central role for the recruitment of STATs to tyrosine 
phosphorylated receptors and for dimerisation of activated STATs, and, 
importantly, provides specificity of signalling through the Jak-STAT pathway [76].
The carboxy-terminal residues constitute  the
transactivation domain. Alternative splicing at the 3’ end of the gene 
transcripts generates shorter isoforms of STAT1, 3, 4, 5A and 5B. The shorter 
isoforms lack a functional transcriptional activation domain, but retain the 
capacity to occupy specific binding sites in the promoters of target genes. By 
competing with full length STATs for DNA binding sites, they can inhibit 
transcriptional activation of target genes, and when overexpressed can be 
dominant negative regulators of transcription. However, in multimeric complexes 
with other transcription factors, these short isoforms need not be negative 
regulators of transcription. STAT1β can combine with STAT2 and IRF9 to form the 
transcription factor ISGF3, and STAT3β and c-Jun cooperatively bind to an IL-6 
responsive promoter element in the α2–macroglobulin gene and activate its 
transcription [77, 78]. In both cases the  transcriptional activation
domain is provided by the partner proteins of the  short STAT isoforms.

Negative regulators of IFN signalling

IFN  signalling is controlled by a number of negative
regulators such as SOCS,  USP18, PIAS and TcPTP. Suppressor of cytokine
signalling (SOCS) proteins are  important negative regulators of Jak-STAT
signalling [79]. The family consists of eight members, CIS and
SOCS1 to SOCS7.  CIS, SOCS1, SOCS2 and SOCS3 are rapidly induced by a large
number of cytokines  and inhibit cytokine receptors in an early negative
feedback loop. Type I IFNs  induce SOCS1 and SOCS3 [80], and  overexpression
experiments have demonstrated that both inhibit IFN signalling  through the Jak-STAT
pathway [80, 81].  SOCS1-deficient mice develop severe
inflammatory disease [82], but are highly resistant to viral  infections,
most probably due to enhanced type I IFN signalling [83]. SOCS3 simultaneously binds
to cytokine receptors and JAK1, JAK2, and TYK2 (but not JAK3), and inhibits the catalytic 
domain of the kinases [84]. 

Ubiquitin  specific peptidase 18 (USP18/UBP43) is another important negative regulator in 
type I IFN signalling. USP18/UBP43 was originally identified as a protease  cleaving
ubiquitin-like modifier ISG15 from target proteins, but was recently  found to play a negative
regulatory role independently of its ISG-deconjugating  ability [85, 86]. UBP43 was reported
to  inhibit activation of Jak1 by interfering with the binding of Jak1 to IFNAR2c [87]. UBP43
deficient mice show a severe  phenotype characterised by brain cell injury, poly-I:C
hypersensitivity, and  premature death [88, 89]. Interestingly,  they are resistant to otherwise
fatal cerebral infections with lymphocytic choriomeningitis virus and vesicular
stomatitis virus [90].

Protein  inhibitor of activated STAT1 (PIAS1) and PIAS3
specifically bind to tyrosine  phosphorylated STAT1 and STAT3 respectively, and
inhibit DNA binding of STAT  dimers [91]. PIAS1 selectively inhibits  interferon-inducible
genes and is important in innate immunity. As a  consequence, PIAS1-deficient
mice show increased protection against pathogenic  infections [92].

STAT1 is  deactivated in the nucleus by dephosphorylation
of the tyrosine 701 by T cell  protein tyrosine phosphatase (TcPTP) [93]. 
TcPTP deficient mice develop progressive
systemic inflammatory disease, as  shown by chronic myocarditis, gastritis,
nephritis, sialadenitis and elevated  serum IFNγ [94] 

Refractoriness of IFN signalling

 It has  been known for many years that cultured cells
become refractory to IFN within  hours and remain unresponsive for up to 3 days
[95].  Maximal activation of the IFN signalling
pathways is observed within the first  two hours of IFN treatment. Continuous
exposure to IFN results in  “desensitisation” characterised by a return to
pretreatment levels of  ISG transcription. Moreover, during the 48 to 72  hours
following the initial IFNα stimulation of the cells, any further IFN  treatment
fails to reinduce transcription of ISGs [95].

Refractoriness  is observed not only in cultured cells,
but also in the liver of mice injected  with mouse IFNα [96]. Hepatocytes in vivo become 
refractory within hours after the first subcutaneous injection of IFNα and remain so for at
least 2 days.  A systematic analysis of the negative regulators of IFNα
signalling revealed that SOCS are  responsible for the early inhibition of STAT
phosphorylation within the first  2–4 hours, but not for the observed long-term
refractoriness. Rather,  long-lasting upregulation of USP18/UBP43 was found to
be responsible for the  observed unresponsiveness of liver cells to prolonged
IFNα exposure [96]. Interestingly, IFNβ signalling is not subject to
refractoriness in  the mouse liver, and, contrary to IFNα, repeated injection of
IFNβ elicit strong STAT1 activation  after each injection [97]. Likewise, no  desensitisation of
 IFNλ signalling was observed in the intestine of  mice (IFNλ signalling could not be
investigated in the mouse liver because, unlike human  hepatocytes, mouse
hepatocytes do not express the IFNλ receptor) [97]. Refractoriness to IFNα could be one of the
underlying  mechanisms responsible for non-response to pegIFNα/ribavirin therapy
observed in patients  with CHC who have a constitutively activated endogenous
IFN system in the  liver.

Figure 3

IFN  signalling through the Jak-STAT pathway.Type I and III IFNs bind to distinct receptors,
but activate the same downstream signalling pathways, and induce a widely overlapping set of genes 
through the activation of IFN stimulated gene factor 3 (ISGF3) and STAT1 
homodimers. IFNγ, the only type II IFN, activates STAT1  homodimers, but not
ISGF3, and thereby induces an overlapping but distinct set  of ISGs.

Picture

Figure 4

Domain  structure of STATs.There are seven  STAT genes in the human
genome, coding for STAT1, STAT2, STAT3, STAT4,
STAT5a,  STAT5b and STAT6. Differential splicing and posttranslational cleavage
can form  multiple isoforms. For IFN signaling, STAT1 and STAT2 (and in some
cells STAT3)  are most important. STATs are between 750 and 850 amino acids
long. All STATs  share well-defined, structurally and functionally conserved
domains including  the amino-terminal (N), coiled-coil, DNA-binding, linker,
SH2, tyrosine  activation, and transcriptional activation domains
Picture
Effects of type I interferons
Interferons  exhibit a wide spectrum of biological
activities in target cells, including  antiviral, immunomodulatory,
antiangiogenic and growth-inhibitory effects. They  exert their effects mainly
through Jak-STAT mediated regulation of gene  transcription. However, there are
also Jak-STAT independent effects, notably  activation of the p38 Map kinase
signalling cascade [98, 99], and activation of the phosphatidylinositol 3 
kinase  – Akt kinase – mTOR/p70 S6 kinase pathway that regulates mRNA
translation [100, 101].


Interferon-regulated genes


Stimulation  of cells with type I IFNs usually leads to
the induction of several hundred  genes (IFN stimulated genes, ISGs), but there
are also some genes that are  negatively regulated by IFNs [9, 102, 103]. 
There is considerable variation between different cell types in regard to the 
number and also the identity of the regulated genes [103]. Gene expression
analysis in the human and chimpanzee have  shown that systemic administration
of (peg) IFNα induces overlapping but clearly  distinct sets of genes in liver and
peripheral blood mononuclear cells [9, 104]. The mRNA levels of most of the genes  are
increased 2–10-fold through IFN stimulation, but some genes are induced  even
more strongly [9]. In the liver,  most of the ISGs are upregulated
within hours after administration of pegylated  IFNα and rapidly downregulated
again within the first 8–24 hours [104]. 

Antiviral effects

Type I  IFN-induced regulation of hundreds of genes
establishes an “antiviral state” in  the cell [105, 106]. The term “antiviral  state”
implies protection of the cell against viral infection, but it is a  generic term and
the lack of precise criteria for its definition reflects the  fact that we still have only
an elementary understanding of what exactly it is.  Indeed, a large number of
these regulated genes have as yet unknown functions.  Some ISGs have broad
antiviral effects. For example, protein kinase R (PKR), a  member of the
eukaryotic initiation factor 2α (eIF2α) kinase family, phosphorylates eIF2α with
a consequent blockade of  translation of most cellular and viral mRNAs [107]. 
Members of the interferon-induced protein with
tetratricopeptide repeats (IFIT1  (ISG56) and IFIT2 (ISG54)) also inhibit
translation by binding to eIF3 [108]. Another well-studied antiviral effector  is
2’-5’ oligoadenylate synthetase (OAS). Both the gene transcription and the 
enzymatic activity are regulated: the enzymatic activity is stimulated by viral 
dsRNA, and OAS expression is upregulated several-fold by IFNα. The
2’-5’oligoadenylates produced  by activated OAS in turn activate the latent RNA
nuclease RNase L, resulting in  the degradation of viral and host RNAs [107]. 
Recently, the ISG15 system has been found to be another broadly active 
non-specific antiviral effector. ISG15 is one of the most prominent ISGs.
It is  a ubiquitin-like protein that conjugates to more than 150 cellular target 
proteins [90, 109–111]. The conjugation  is effected by an enzymatic
cascade that includes an E1 activating enzyme  (UBE1L) [112], an E2 conjugating enzyme 
(UbcH8) [113, 114], and an E3 ligase  (HERC5 and TRIM25) [115, 116].
The  conjugation can be reversed by UBP43/USP18 [86]. All these enzymes are 
induced by type I IFNs. 

Many of the ISG15 target proteins have important roles  in the IFN response, for
example Jak1, STAT1, RIG-I, MxA, PKR and RNaseL [110]. Consistent with its role in the IFN  system,
mice deficient in ISG15 have increased susceptibility to infection with  several
viruses [117].

In  addition to these relatively nonspecific effector
systems there are a number of  ISGs with activities against distinct classes of
virus. For example, the MX  proteins have protective effects against influenza
and vesicualr stomatitis virus by binding to viral  nucleocapsids and the viral
polymerase [118],  and the members of the APOBEC3 family of
cytidine deaminases have activity  against HIV [119].

A recent  large-scale screen with 380 human ISGs has
identified several new antiviral  effector molecules. IRF1, C6orf150 (also known
as MB21D1), HPSE, RIG-I, MDA5  and IFITM3 were found to be active against
different viruses, whereas more  targeted antiviral specificity was observed
with DDX60, IFI44L, IFI6, IFITM2,  MAP3K14, MOV10, NAMPT (also known as PBEF1),
OASL, RTP4, TREX1 and UNC84B (also  known as SUN2). Mechanistically, most of
these antiviral effectors worked  through inhibition of translation [120].

Several  ISGs have been implicated in the host defense
against HCV.  Viperin, a member of the radical S-adenosyl methionine domain
containing enzymes,  inhibits replication in HCV replicon system [121,  122]. PKR and ISG20,
a 3’-5’ exonuclease with a strong preference for  single-stranded RNA, also strongly
inhibit HCV replicons  [122].

Antiproliferative effects

In  addition to their well-known antiviral effects, type I
IFNs inhibit cell growth  and control apoptosis, activities that affect the
suppression of cancer and  infection [123]. Different cells in  culture exhibit varying
degrees of sensitivity to the antiproliferative activity  of IFNs.
Lymphoblastoid Daudi cells are exquisitely sensitive to the  antiproliferative
effects of IFNα, which lead to a rapid shutdown of c-myc  transcription,
possibly through a decrease in the activity of the transcription  factor E2F [124].
The antiproliferative  effects of IFNα are the rational basis for their use in the 
treatment of metastatic malignant melanoma and renal cell carcinoma [125].

 Hepatitis C virus interference with the host immune response In order  to establish a
persistent infection over decades, HCV must evade the host’s  immune response,
both innate and adaptive.  As outlined above, viruses are  sensed through TLR-dependent
pathways [54, 55]  and cytosolic pathways triggered by binding of
viral RNA to the RNA helicases  RIG-I and MDA5 [56, 57]. HCV has the 
unique capacity to inactivate essential components of both pathways, i.e.
TRIF  and MAVS, through the proteolytic activity of its non-structural protein NS3–4A  [67, 126].
I
n vitro
and in cell cultures, NS3–4A
is very efficient in cleaving  TRIF and MAVS. However, the inhibition of
IFN-inducing pathways is far from  complete in vivo. Transcriptome 
analysis of liver homogenates from chimpanzees with CHC revealed a strong 
induction of hundreds of ISGs [127]. The  situation is more complex in patients with
CHC. 50%-70% of Caucasian patients  show very little or no induction of ISGs,
whereas the remaining 30%–50% have a  permanent high-level expression of
hundreds of ISGs [8–10]. A study with paired liver biopsies obtained
before and 4  hours after the first injection of pegIFNα in 16 patients
undergoing therapy  for CHC revealed that patients already with constitutive
induction of ISGs  before therapy (“pre-activated”) had no significant further
increase or  qualitative change in ISG expression after pegIFNα, a finding that
could explain why  all these patients did not respond to the later treatment
with pegIFNα /ribavirin [9]. The other group of patients without ISG induction
responded to  pegIFNα injection with the up-regulation of hundreds of ISGs in
the liver, and all of  these patients were subsequently cured [9].  T
he strong association between ISG expression
measured in pre-treatment  biopsies and non-response to later treatments with
pegIFNα /ribavirin has been confirmed in  several independent studies [8–10].
By  measurement of expression levels of selected ISGs in pre-treatment biopsies it 
is possible to predict later treatment
outcome with high accuracy [11].


An  important unresolved question is why activation of the
endogenous IFN system in  the liver of “pre-activated” patients seems to be
ineffective against HCV,  whereas induction of the same set of genes in “non
pre-activated” patients by  injected pegIFNα is highly effective, with cure
rates >90%  in this group of patients. The difference may arise from the
percentage of  hepatocytes with ISG induction. In post-treatment biopsies of 
“non-pre-activated” patients, almost 100% of hepatocytes show nuclear staining 
for phosphorylated STAT1, whereas the percentage of STAT1 positive nuclei is 
lower in pre-treatment biopsies of “pre-activated” patients [9]. Assuming that HCV
affects 5%–30% of  hepatocytes in the liver, the observed ISG induction in liver
homogenates may  arise   from the vast majority of  non-infected hepatocytes with
 intact Jak-STAT signalling.
In infected  hepatocytes, IFN signaling could be blocked by HCV. There is indeed
evidence  that HCV, similar to other viruses, interferes with IFN signaling. 
 
One  proposed mechanism is the inhibition of STAT1
activation through an  upregulation of SOCS3 by HCV core protein, which has been
found after transient  transfection of HepG2 and Huh7 cells [128, 129]. 
Another group reported that the expression of HCV proteins in Huh7 cells leads 
to a proteasome-dependent degradation of STAT1 [130].  A third group, also using
HCV protein expression in Huh7 cells, reported normal  STAT1 expression and
phosphorylation, but an inhibition of nuclear  translocation of phosphorylated
STAT1 [131]. 
We have found an inhibition of DNA binding of  activated STATs not only in cells 
transfected with the HCV genome, but also in  the liver of HCV transgenic mice, 
and in liver biopsies of patients with CHC [132,  133]. In all cases, STAT1 protein
expression and tyrosine phosphorylation  were not impaired. Further investigations of the
molecular mechanisms of HCV  interference with IFN signalling identified protein
phosphatase 2A (PP2A) as an  important mediator in the inhibitory pathway [134]. 
The catalytic subunit of PP2A, PP2Ac, was found to be overexpressed as a result 
of an endoplasmatic reticulum (ER) stress response induced by HCV protein  expression [135].
PP2Ac was overexpressed  in cells after HCV protein expression, in liver extracts
of HCV transgenic  mice, and in liver biopsies of patients with CHC [134].
Further, expression of a constitutively active form of PP2Ac  in Huh7 cells resulted in
inhibition of STAT1 DNA binding [134].
PP2A can bind directly to protein  arginine methyltransferase 1 (PRMT1) and
inhibit its enzymatic activity [136]. This inhibition of PRMT1 results in  decreased
methylation of a number of proteins, including STAT1 [134]. It has been
reported that arginine  methylation of STAT1 regulates the association of STAT1
with the inhibitor  PIAS1 [137], a finding that is still  controversial [138].
Nonetheless, we have  found that inhibition of PRMT1 by increased expression
of PP2Ac leads to  increased association of STAT1
with PIAS1, a finding that could well explain  the impaired DNA binding of
activated STATs in HCV infected cells [134]. Interestingly, treatment of cells with  the
methyl group donor S-adenosyl-methionine (SAMe) restored normal IFN  signalling
in cells with HCV protein expression and increased the potency of  IFNα in  the
replicon system [139]. On the basis  of these findings we and others
conducted clinical studies that showed limited  efficacy of SAME given together
with pegIFNα and ribavirin in patients with CHC [140, 141].

HCV was  able to interfere not only with IFN signalling
through the Jak-STAT pathway,  but also with the translation of ISG mRNAs to
proteins at the ribosomes.  Elegant evidence for such a translational block has
been obtained in Huh7.5  cells infected with HCV and treated with IFNα. In this
system HCV infection did  not block the transcriptional induction of ISGs by
IFNα [142]. However, HCV infection triggered 
phosphorylation and activation of the RNA-dependent protein kinase PKR, which 
inhibits eukaryotic translation initiation factor eIF2 alpha, and thereby 
cap-dependent translation of cellular mRNAs, but not the IRES-dependent 
translation of HCV RNA [142].

If and to  what extent HCV interference with Jak-STAT
signalling, ISG transcription or ISG  mRNA translation is occurring in infected
hepatocytes in patients with CHC  remains to be investigated. One of the main
obstacles for answering this  important question remains the lack of a
reproducible and reliable method to  detect HCV RNA or proteins in liver
biopsies.

Conclusion  and perspectives
Because of  its enormous impact on global health, HCV has
been the subject of intense  research efforts by academic and industrial
research groups. Cloning of the  virus in 1989 by Houghton and colleagues
allowed in the following decade the  expression, purification and
high-resolution structure analysis of viral proteins,  and the rational design
of small inhibitory molecules targeting vital enzymatic  activities of these
proteins. Several dozens of direct-acting antiviral drugs  are in clinical
development, and many more in pre-clinical evaluation. There is  very reasonable
hope for patients with CHC that the therapeutic options will  improve
significantly in the next decade.

For the  vast majority of the estimated over 200 million
patients worldwide, these  therapies will not be easily obtainable, for economic
and logistic reasons. The  only hope for an effective control of the HCV
epidemic relies on preventive  vaccines. Progress in this field has been slow
for several reasons. HCV  infection is a highly dynamic process driven by a high
virus replication rate  combined with an error-prone genome replication that
produces millions of viral  variants each day and facilitates antigenic escape
from adaptive immune  responses. HCV has also evolved a number of strategies to
interfere with  signalling pathways and effector systems of the innate and
adaptive immune  system. A fundamentally improved understanding of these
mechanisms will be  necessary for the rational design of vaccines. The study of
host-virus  interactions therefore remains important even in the coming area of
highly  effective, interferon-free, direct-acting anti-HCV therapies.

Funding / potential competing interests:
No financial support and no  other potential conflict of interest relevant to
this article was reported.

Correspondence: Professor Markus H. 
Heim, MD, University Hospital Basel, Hebelstrasse 20,  CH-4031 Basel,
markus.heim[at]unibas.ch


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