| HEPATOLOGY, July 1998, p. 245-252, Vol. 28, No. 1
Original Articles
Hepatitis C Virus Dynamics In Vivo:
Effect of Ribavirin and Interferon Alfa on Viral
Turnover
Stefan Zeuzem1, Jürgen M.
Schmidt2, Jung-hun Lee1, Michael von
Wagner1,3, Gerlinde Teuber1, and W. Kurt
Roth3
From the 1 Medizinische Klinik II, Klinikum
der Johann Wolfgang Goethe-Universität, Frankfurt a.M.,
2 Institut für Biophysikalische Chemie der Johann
Wolfgang Goethe-Universität, Frankfurt a.M., and 3
Georg-Speyer-Haus, Frankfurt a.M., Germany.
ABSTRACT
Treatment of patients with chronic Hepatitis C with recombinant
interferon alfa (rIFN- ) can cause a decrease of serum transaminases and
Hepatitis C virus (HCV) RNA. Recent trials evaluating combination
therapy of IFN- and ribavirin suggested a potential synergistic effect. From
serial measurements of serum HCV RNA concentrations following
treatment-induced perturbation of the balance between virus
production and clearance, we compared the antiviral efficacy of
both IFN-
alone and IFN- in combination with ribavirin. Chronically
HCV-infected patients were treated with either 3 × 3 MU or 3
× 6 MU rIFN- per week or 3 × 6 MU rIFN- plus 14 mg/kg of body
weight ribavirin per day. The time-dependent HCV RNA concentrations
during antiviral treatment were analyzed by iterative least-squares
regression. After initiation of antiviral therapy, HCV RNA declined
exponentially below the detection limit of the
reverse-transcription polymerase chain reaction assay (1,000 HCV
RNA molecules per milliliter) in 10 of 26 (39%), 10 of 19 (53%),
and 10 of 18 patients (56%) treated with 3 × 3 MU, 3 ×
6 MU rIFN-
without and with ribavirin, respectively. Viral clearance from
serum was faster in patients treated with 3 × 6 MU rIFN- (t1/2 = 0.23
± 0.15) compared with patients treated with 3 × 3 MU
rIFN- per
week (0.67 ± 0.36 days) (P < .004). However,
half-lives of viral clearance were similar in patients treated with
rIFN- or
rIFN- plus
ribavirin. For virus release from infected hepatocytes, absence and
presence of ribavirin yielded half-lives of t1/2 = 2.54 ±
2.10 and t1/2 = 1.99 ± 1.70, respectively, indicating that
ribavirin does not significantly inhibit HCV production. In
conclusion, the data of the present study indicate that higher
rIFN- doses
accelerate viral clearance from serum. Ribavirin (14 mg/kg/d),
however, lacks synergistic antiviral effects in the treatment of
chronic Hepatitis C with 3 × 6 MU rIFN- per week. (HEPATOLOGY
1998;28:245-252.)
INTRODUCTION
Treatment of patients with chronic Hepatitis C with recombinant
interferon alfa (rIFN- ) can achieve clearance of the Hepatitis C virus (HCV)
from serum and liver. However, the overall sustained virological
response to IFN- monotherapy is less than 20%.1,2
Additional clinical trials have been conducted to evaluate
alternative treatment modalities in chronic Hepatitis C, including
therapy with ribavirin. While ribavirin monotherapy revealed no
consistent effect on HCV RNA relative to placebo,3,4
results of combination therapy with subcutaneously administered
rIFN- and
orally administered ribavirin suggested a potential synergistic
effect.5-7
Ribavirin (1- -D-ribofuranosyl-1H-1,2,4-triazole-3-carboxamide) is a
synthetic purine nucleoside that is structurally similar to
guanosine. The drug rapidly enters eukaryotic cells, and after
intracellular phosphorylation exhibits virustatic activity against
a broad spectrum of DNA and RNA viruses. Several possible
mechanisms of action have been proposed, including depletion of the
intracellular guanosine triphosphate pools, synthesis of RNA with
abnormal 5'cap structures, and inhibition of viral polymerase
activity. Furthermore, ribavirin has detectable effects on host
immune responses. The detailed mechanism of action, however, is
unknown.4,8
In the present study, we treated patients chronically infected
with HCV with either 3 × 3 MU rIFN- per week,
3 × 6 MU rIFN- per week, or
3 × 6 MU rIFN- per week plus 14 mg/kg of
body weight ribavirin per day to perturb the balance between virus
production and clearance. From serial measurements of changes in
viremia in patients responding to antiviral therapy, we obtained
kinetic information on the dynamics of HCV replication in
vivo. Numerical data modeling was performed to compare the
direct antiviral efficacy of the three different treatment
schedules.
PATIENTS AND METHODS
In this study, 26 patients chronically infected with HCV
were treated with 3 MU rIFN- three times per week subcutaneously. In a
different cohort of 37 patients, we administered 6 MU
rIFN- three
times per week subcutaneously. Eighteen patients of this cohort
were randomized to receive ribavirin (14 mg per kg of body
weight, i.e., 900-1,200 mg) in two divided doses orally per
day. Duration of treatment is scheduled for 12 months; the
trials are ongoing. All patients were previously untreated, and the
diagnosis of chronic Hepatitis C was based on elevated serum
transaminase levels, histological examination, and the consistent
detection of anti-HCV antibodies (third-generation assay) and HCV
RNA. All patients were Hepatitis B surface antigen-negative and
negative for the antibody to the human immunodeficiency virus type
1 and type 2. Blood samples were obtained 4 and
1 week before initiation of treatment and subsequently at days
0, 1, 3, 7, 14, 21, 28, and
56. Serum was prepared under a laminar flow bench and frozen
at 80°C.
Serum HCV RNA levels were quantified as recently described in
detail.9-11 Pretreatment serum HCV RNA
levels revealed minor variations (<1 log) in the individual
patients, indicating steady-state conditions. Because the viremia
level at t = 0 is particularly important for
the precision of mathematical modeling, the median pretreatment HCV
RNA concentration was applied. Genotyping of HCV (according to the
classification of Simmonds et al.12)
was performed by reverse hybridization assay (Inno LiPA HCV II,
Innogenetics, Ghent, Belgium).13 All
patients consented to participate in the study, which was approved
by the Ethics Committee for Medical Research in Frankfurt a.M., in
accordance with the Declaration of Helsinki. A decline of HCV RNA
titer below the detection limit of the reverse-transcription
polymerase chain reaction (1,000 copies/mL) within the initial
8 weeks of treatment was observed in 10 of
26 patients treated with 3 × 3 MU
rIFN- ,
10 of 19 patients treated with
3 × 6 MU rIFN- , and 10 of
18 patients treated with 3 × 6 MU
rIFN- and
ribavirin (14 mg/kg/d). The remaining patients showed only a
transient or no response on serum HCV RNA concentration. Kinetic
analyses were only applied to data of treatment responders.
Clinical, biochemical, serological, and histological
characteristics are summarized in table 1.
An analytical model of the infectious cycle of HCV in
vivo has recently been described in which compartment A
represents the pool of HCV-infected and noninfected hepatocytes as
well as extrahepatic replication sites, BRNA
denotes the HCV RNA concentration in serum, and C is a
fictitious degradation compartment14:

HCV is produced in infected hepatocytes and subsequently
released into the systemic circulation at rate constant
Nk1, where N is the number of virions
produced per infected cell, and ln2/k1 is the
half-life of virus-producing cells as well as that of virus
release. Degradation of free virus from the blood occurs at a rate
constant k2. Because antibody-complexed virions
may have a rate of degradation different from noncomplexed virions,
k2 must be interpreted as a combination of
antigen-specific and nonspecific processes. During steady-state
conditions before antiviral treatment, adjacent and distant
hepatocytes become infected at a rate constant k 1. However,
virus uptake by previously uninfected (de novo infection) or
infected (superinfection) hepatocytes cannot be discriminated, and
transformation of noninfected into virus-producing hepatocytes
cannot be measured. After initiation of antiviral therapy, viral
clearance is described according to a sequential model given by
dBRNA/dt = Nk1
A (k 1 + k2)
BRNA.
As recently described,14 the most
significant fit of the observed HCV RNA decline after initiation of
therapy is obtained assuming that the predominant antiviral effect
of rIFN- is
inhibition of de novo infection of susceptible cells
(k1 and k2 > 0;
k 1 = 0). The rate of HCV elimination from serum
following initiation of antiviral therapy is then determined by two
processes: the clearance of HCV RNA per se and the
elimination or suppression of virus-producing cells. Thus, viral
RNA data were fitted to a three-compartment sequential-reaction
model according to
(1)
where k1 and k2 denote the
rate constants associated with increase and decrease of viral RNA
concentration B, respectively. Accordingly, the differential
change in the virus concentration B shall obey the
hypothesis
(2)
Integration requires an assumption on the time dependence of
A be made as well as an initial condition for the
compartmental populations be given. Let
(3)
indicating the concentration of virus-producing cells leveling
off at rate dA/dt = k1A after
the initiation of treatment. Unless supported by dedicated
experiments, e.g., cell counts, e absolute concentration of
A remains unknown but can be related to the observed
quantity B using the ratio N as defined above, thus
linking virus-level growth to cell damage. It is also implied that
infected and noninfected cells in compartment A cannot be
distinguished by exclusively sampling compartment B.
The first-order differential equation as recast from the two
constraining conditions, Eq. 2 and
Eq. 3, is given by
(4)
Solution of Eq. 4 involves an auxiliary
integrating factor exp(k2t) to be
inserted, leading to
(5)
where the left-hand side of Eq. 5 is
identified as the total derivative
(6)
Integration of Eq. 6 within the
boundaries 0 and t leads to
(7)
which, after elimination of the auxiliary term, recasts into

(8)
From the initial condition
dB/dt = 0, the stationary levels
before drug administration follow from Eq. 2
as
A0 = (k2/Nk
1) B0. Substitution into Eq. 8 finally leads to the equation given by Wei et al.
as applied in the modeling of human immunodeficiency virus
kinetics15 (for convenience, the
plasma viral concentration V and the rate constants a
and u in the original literature are identified here with
B, k1, and k2,
respectively),
(9)
This model is valid for any number of virions produced per
infected cell, because the factor N has been eliminated.
Thus, without experimental evidence, the ratio N as defined
(Eq. 2) is finally fully incorporated
into either the rate constant k1 or the cell
concentration A0.
The model given by Eq. 9 takes two
separate processes of elimination of virus-producing cells and free
virus associated with k1 and
k2, respectively, into account. However, the
numerical symmetry in the rate equation precludes the two
biological processes to be distinguished. Furthermore, it is
assumed that the same rate constant k1 is
identical for both release of virions produced by infected cells
and loss of virus-producing cells. We emphasize that this compound
decay curve from Eq. 9 is unable to fit our
observed HCV RNA quantification data of the present study, which
are characterized by an initially rapid decline followed by a
slower one.
Therefore, we considered a definition of the anyway undetermined
compartment A, which avoids the duplicate use of the
constraining condition given in Eq. 2 and
which is less stringent than that applied for the transformation of
Eq. 8 to Eq. 9. A
general type of the time dependence of the viral compartment that
does not make preliminary assumptions on N is
(10)
For N = 1, the model of Wei et al.
results. In our model,14
(11)
the multipliers to the exponential terms are due to an initial
condition in which the number of virions produced per hepatocyte
was chosen such that B(0) = A(0) including
a rate-dependent ratio
N = k2/k1 as
rationalized in the following.
The observed decline of serum HCV RNA after initiation of
antiviral therapy is dominated by two exponential terms related to
influx and outflux at rate constants k1 and
k2, respectively. Given that the rates differ, a
semilogarithmic representation of the concentration
B(t) versus t reveals two tangents
intersecting at an angle depending on the relative values of the
rate constants. Irrespective of a convex or concave shape of the
smoothened log curve in a certain range of transitional t
values, the steeper tangent is always associated with the faster
process, while the slower process, associated with the smaller rate
constant and with the shallower slope, determines the turnover on
the long term and is considered rate-limiting. Note that also in
our model, rate constant k1 describes both
release of virions produced by infected cells and loss of
virus-producing cells. The observed HCV RNA concentrations
following interferon administration
imply(k2 > k1).
This is compatible with the biological point of view that an
infected hepatocyte must produce more than one virion per lifecycle
(N > 1). In addition, a rate-dependent ratio
N allows to account for possible differences in HCV release
from hepatocytes in infected individuals.
Furthermore, detailed data regression was performed with the
proportionality k2/Nk1 adjusted
to several orders of magnitude between 0.001 and
1,000. Fit significance was highest for a value of about
1. Median viremia in patients with chronic Hepatitis C is
about 107 copies per milliliter.11 Multiplication with the extracellular
fluid volume, which is estimated to be 20% of the individual
patient's body weight, and assuming that serum and extracellular
fluid compartments are in equilibrium, results in an estimate of
B0 of around 1.4 × 1011
copies. The liver contains approximately
2 × 1011 hepatocytes
(A0).16 Thus, the
highest fit significance for a value of 1 of the
proportionality k2/Nk1 appears
biologically well supported. Note that this does not imply a
production rate of one virion per hepatocyte, because compartment
A is defined as the pool of HCV-infected and uninfected
hepatocytes and only 5% to 40% of hepatocytes are infected with HCV
in the chronic state of the disease.17,18
From experimental values of BtRNA
(time-dependent HCV RNA serum concentrations), kinetic parameters
B0RNA, k1, and
k2 were obtained by iterative least-squares
fitting.14 The protocols included a
repeatedly initialized down-hill simplex optimization.19 Typically, less than 500 function
evaluations were needed for convergence. The agreement between
simulated and observed data was characterized in a least-squares
sense by the normalized fit-error
s2 = in [(Bi
sim Biobs)/ i]2, where i runs
over all n data points and i is the
uncertainty of a sample set to either 5% or to a minimum of
1 × 103 molecules per milliliter in HCV
RNA determinations. To account for the intrinsic nonlinear
properties of the model function, confidence boundaries for the
parameters B0, k1, and
k2 were derived from the fractional increase in
the sum of squares of residuals20,21 computed according to
(smax/smin)2 = 1 + (
p 1)(n p) 1 F(p 1, n p, ), i where n and p are the number
of HCV RNA samples and fit parameters, respectively, and F
is the Fisher variance ratio. For the varying numbers of degrees of
freedom, critical F values for a two-tailed test of the
F distribution function were obtained from statistical
tables.22 The rejection probability
was set to = (31.7/2)% associated with one standard
deviation based on the assumption of a multivariate Gaussian
distribution. The deviations in each of the optimum parameters
required to increase the sum of squares of the residuals from
smin2 to the threshold
smax2 were iteratively determined
using a modified secant algorithm.23
The asymmetry of the s2 isocontour on the
error hyper-surface was tested with a bidirectional search using
positive and negative deviations in each single parameter.20
Rate constants k3 and k4
denote the release of alanine transaminase (ALT) and aspartate
transaminase (AST) from hepatocytes and the degradation of
transaminases, respectively. B0ALT, and
B0AST are the initial serum transaminase
levels before rIFN- administration:

Rate constants k3 and k4
were calculated from the time-dependent concentrations in analogy
to the HCV RNA kinetics with the difference that the sensitivity of
transaminase measurements was set to 1 U/L. Because of
membrane permeability and normal regeneration of hepatocytes, a
baseline level of serum transaminase activity (B ALT,AST) is observed. Thus,
fitting of the experimental data required four parameters in an
extended equation according to

(12)
Double-exponential models allow in-flux and out-flux of the
serum HCV RNA compartment to be separated, in contrast to simple
first-order kinetic models,15,24 in which such a discrimination of virus
production and clearance is not possible. The time-dependent
variation of the viral load after drug administration is given by
the first derivative of the integrated rate law for the viral
compartment with respect to time,
(13)
From the initial transitory relaxation process, viral turnover
during the stationary phase before perturbation can be estimated,
and in fact has been exploited to elucidate the enormous throughput
f viral particles in the chronic phase of infection.15,24 Solved for time
t = 0, the initial rate in the model function
of Eq. 11 amounts to
(14)
while that of Eq. 9 is identically zero.
To estimate the minimum value of viral production, we multiplied
B0 in a previous study by the respective rate
k1,14 which is the
more conservative approach because of its rate-limiting effect.
Because the rate k1 possesses some duality
(scaled virus release from infected cells as well as decline of
infected cells) and because virus clearance from serum with rate
k2 dominates the initial decline in compartment
B after perturbation of the steady state, we decided to use
rate k2 for calculating the minimum daily
turnover of HCV RNA molecules. Thus, minimum daily virus production
and clearance was calculated according to
B0RNA k2
multiplied by the extracellular fluid volume, which was estimated
to be 20% of the individual patient's body weight, and assuming
that serum and extracellular fluid compartments are in
equilibrium.
Typically, the fit significances exceeded 95% as tested by
ANOVA. Data are expressed as median or mean ± SD.
The 2 test with Yates' correction was used for
statistical analysis of comparison between group frequencies. The
two-sample Student's t test was applied when continuous
variables were considered normally distributed by the
Kolmogorov-Smirnov test. P < .05 was
considered statistically significant. The analyses were performed
using the BiAS statistical software (Department of Biostatistics,
University of Frankfurt a.M.).
RESULTS
Patients in the three treatment groups of the present study
(3 × 3 MU rIFN- per week,
3 × 6 MU rIFN- per week,
3 × 6 MU rIFN- per week plus 14 mg/kg
ribavirin per day) were well matched regarding age, HCV genotype,
pretreatment viremia, and liver histology (table 1). After initiation of antiviral therapy, HCV RNA
declined exponentially below the detection limit of the
reverse-transcription polymerase chain reaction assay
(1,000 HCV RNA molecules per milliliter) in 10 of
26 (39%), 10 of 19 (53%), and 10 of
18 patients (56%) treated with 3 × 3 MU,
3 × 6 MU rIFN- without and with ribavirin,
respectively (Fig. 1A-1C). Thus, the portion of initial responders
was similar in the two treatment groups with
3 × 6 MU rIFN- , but lower in patients treated
with 3 × 3 MU rIFN- per week (P = not
significant) (table 1). From the kinetic
parameters, the minimum daily production and clearance of HCV was
calculated for each case. The median daily turnover was
1.8 × 1011 virions per day (range,
4.5 × 109 to
1.6 × 1013 virions/d).
As recently described in patients treated with
3 × 3 MU rIFN- subcutaneously per week14 and confirmed in the present study for
patients treated with either 3 × 3 MU or
3 × 6 MU rIFN- per week, the most significant
fit of the observed HCV RNA decline after initiation of therapy is
obtained assuming that the predominant antiviral effect of
rIFN- is
inhibition of de novo infection of susceptible cells
(k1 and k2 > 0;
k 1 = 0). Results for virus release from infected
cells in patients treated with 3 × 3 MU or
3 × 6 MU rIFN- per week yielded similar
half-lives of
t1/2 = ln2/k1 = 2.28 ± 1.17 and
2.54 ± 2.10 days, respectively (table 2). The half-lives of viral clearance from serum
were significantly shorter in patients treated with
3 × 6 MU rIFN- compared with patients treated
with 3 × 3 MU rIFN- per week
(t1/2= ln2/k2 = 0.23 ± 0.15 vs.
0.67 ± 0.36 days;
P < .004) (table 2),
suggesting a dependence of the rate constant k2
on the IFN-
dose, while rate constant k1 remains essentially
unchanged.
|
View This
table
|
table 2. Kinetic Data of HCV and ALT
and AST Turnover in Patients With Chronic Hepatitis C Responding to
Treatment With rIFN- Alone or in Combination With Ribavirin (14 mg/kg of
body weight) |
To test the possible synergistic antiviral efficacy of ribavirin
in vivo, chronically HCV-infected patients were treated with
3 × 6 MU rIFN- per week alone or in
combination with 14 mg/kg ribavirin per day. The potential
antiviral mechanism of ribavirin in HCV-infected patients is
unknown. Assuming ribavirin inhibits virus release from infected
cells, the half-life
t1/2 = ln2/k1 in
patients treated with rIFN- and ribavirin should become longer compared
with patients treated with rIFN- alone. However, the half-life of virus
release from infected cells was clearly not prolonged in patients
under combination therapy
(t1/2 = ln2/k1= 1.99 ± 1.70)
compared with patients treated with rIFN- alone
(t1/2 = ln2/k1 = 2.54 ± 2.10).
In addition, half-lives of viral learance from serum were similar
in patients treated with rIFN- or rIFN- plus ribavirin
(t1/2 = ln2/k2 = 0.23 ± 0.15 vs.
0.18 ± 0.19 days) (table 2).
Hepatocyte damage and turnover can be estimated only by
surrogate parameters such as transaminases that are released
because of direct virus-related cytopathic and/or immune-mediated
processes. In HCV-infected patients responding to antiviral
therapy, the rapid decline of HCV RNA after initiation of treatment
is accompanied by a slower decline of both serum ALT and serum AST
toward normal levels. In patients responding to antiviral therapy,
mean ALT activity before initiation of treatment
(B0ALT) was
83.1 ± 56.1 U/L
(3 × 3 MU rIFN- /wk),
84.0 ± 49.7 U/L (3 × 6 MU
rIFN- /wk),
and 58.7 ± 28.8 U/L
(3 × 6 MU rIFN- /wk + 14 mg/kg
ribavirin/day) (table 2). During antiviral
therapy, ALT declined toward baseline levels (B ALT) of
8.9 ± 2.5 U/L,
14.6 ± 7.1 U/L, and
9.7 ± 3.4 U/L, respectively (Fig. 1). Results for ALT release from hepatocytes of patients
treated with 3 × 3 MU rIFN- /wk yield half-lives of
t1/2ALT
= ln2/k3 = 4.3 ± 4.4 days
and for ALT degradation of
t1/2ALT
= ln2/k4 = 3.5 ± 1.5 days.
In patients treated with 3 × 6 MU rIFN- /wk plus
ribavirin, the half-life of ALT release was prolonged compared with
patients treated with 3 × 6 MU rIFN- /wk alone (t
1/2ALT= ln2/k3 = 7.8 ± 9.4 vs.
3.2 ± 2.5 days; P = .15),
whereas half-lives of ALT degradation were similar in both groups
(table 2). Kinetic data for AST revealed similar
information (table 2).
DISCUSSION
HCV infection often progresses to chronic hepatitis, cirrhosis,
and possibly hepatocellular carcinoma.25-27 IFN- is the only approved treatment of chronic
Hepatitis C; however, the sustained response rate with respect to
detectable viremia is below 20%. Ribavirin is a non interferon-inducing
nucleoside analogue with a broad spectrum of activity against RNA
and DNA viruses, including those from the Flaviviridae family.4,8 Several studies have been conducted to
evaluate ribavirin monotherapy in daily doses of 600 to
1,200 mg in the treatment of chronic Hepatitis C.3,4
Although the results consistently showed a decrease of transaminase
levels, the biochemical response was neither associated with
suppression of HCV RNA nor maintained after the drug was
discontinued. Small pilot studies on combination of ribavirin and
IFN-
indicated a potential synergistic effect in the treatment of
chronic Hepatitis C.5 This was
confirmed in larger trials, particularly in terms of maintenance of
long-term response.6,7
Kinetic analysis of viral turnover revealed a half-life of HCV
in the order of a few hours. In the present study, minimum virus
production and clearance per day was calculated to be approximately
1.8 × 1011 virions per day, confirming
previously published data.14 As for
human immunodeficiency virus-1,15,24,28 the vast majority of circulating HCV is
supposed to derive from continuous rounds of de novo virus
infection, replication and cell turnover, and not from cells
chronically producing virions. The high turnover rates for both HCV
and human immunodeficiency virus-1 explain the rapid generation of
viral diversity and the opportunity for viral escape phenomena from
the host immune surveillance.14,15,24,28
Mathematical analysis of viral decay data can be exploited to
predict the mechanism of action and to compare the efficacy of
antiviral compounds in vivo. Previous analysis of HCV RNA
decay data were in favor of a predominant effect of rIFN- on inhibition of
de novo infection of susceptible cells and argued against a
predominant antiviral effect of rIFN- on HCV release from infected
cells. In the present study, we compared the antiviral efficacy of
two different rIFN- dosages (3 × 3 MU and
3 × 6 MU per week). An initial decline of HCV
RNA levels below the detection limit of the reverse-transcription
polymerase chain reaction assay was observed in 10 of
26 (39%) and 10 of 19 patients (53%), respectively.
Although the data suggest higher initial response rates in patients
treated with 3 × 6 MU rIFN- per week, the difference
was not significant (P = .52). In both treatment
schedules, the most significant fit of the observed HCV-RNA decline
after initiation of therapy was obtained assuming that the
predominant antiviral effect of rIFN- is inhibition of de novo
infection of susceptible cells (k 1 = 0). As in the
previous study,14 the model assuming
total inhibition of HCV replication by rIFN- in infected cells
(k1 = 0) showed an inappropriate fit of
the observed data.
Assuming that the predominant effect of IFN is inhibition of
de novo infection of susceptible cells, the HCV RNA
concentration can only fall if the number of infected cells decays.
Several lines of evidence support the hypothesis of a rapid
hepatocyte turnover: 1) hepatocyte turnover can be estimated by
surrogate parameters such as transaminases that are released
because of direct virus-related cytopathic and/or immune-mediated
processes. In HCV-infected patients responding to rIFN- , the rapid decline
of HCV RNA after initiation of treatment is accompanied by a
similar decline of both serum ALT and serum AST toward normal
levels.14 The calculated half-lives
of virus release and transaminases are similar, indicating that
both virus and hepatocytes have high turnover rates; 2) the liver
of HCV-infected patients is infiltrated by a large number of
cytotoxic T lymphocytes29,30; 3) in liver tissue of patients with
chronic Hepatitis C, a high expression of Fas antigen as an inducer
of apoptosis is observed31; and 4)
regeneration of the liver, e.g., after partial resection is
extremely rapid.32 A precedent for a
high hepatocyte turnover rate exists in patients with chronic
Hepatitis B. Nowak et al. calculated that approximately
109 hepatocytes are killed and replenished every day.16
Calculation of kinetic parameters revealed similar half-lifes of
approximately 2.5 days for virus release from infected cells
in patients treated with either 3 × 3 MU or
3 × 6 MU rIFN- per week. In a previous study,
the half-life for virus release in patients treated with
3 × 3 MU rIFN- per week was
t1/2 = 2.7 ± 1.3.14 The more pronounced decline of HCV RNA
levels as observed in patients treated with
3 × 6 MU compared with
3 × 3 MU rIFN- per week was caused by
significantly faster clearance of HCV from serum. This suggests
that IFN-
exerts a dose-dependent effect on (possibly) antigen-specific
degradation of free virus in patients with chronic Hepatitis C
(e.g., phagocytosis of HCV by macrophages, modulation of antibody
production).33 Dose-dependent
IFN-
effects on HCV RNA clearance have previously also been quantified
by Lam et al.34 As recently pointed
out,35 the combined effects of
pharmacological and intracellular delays, the clearance of free
virus particles, and the decay of infected cells may cause the
half-life of serum virus to be overestimated. In our study, time
intervals between blood samples were too large to assess such
effects.
In addition, we investigated the in vivo antiviral
efficacy of IFN- in combination with ribavirin. The rate constants
k1 and k2 of HCV turnover were
similar in patients under combination therapy and patients treated
with rIFN-
in the absence of ribavirin. This apparently excludes a direct
synergistic antiviral effect of rIFN- and ribavirin. These kinetic
data are well in accordance with clinical trials showing similar
virological response rates at the end of treatment in patients
treated with rIFN- with and without ribavirin.7 The improved sustained biochemical and
virological response rates after discontinuation of combination
therapy are indicative of immunmodulatory effects of ribavirin, as
recently described in animal models.36
In agreement with the clinical observation that serum
transaminase levels decline during ribavirin treatment,3,4 we
found the mean rate constant k3 for ALT and AST
release from hepatocytes diminished in patients treated with
IFN- and
ribavirin. However, the differences of k3 between
both treatment groups did not reach statistical significance
(P = .15 and P =.33 for
k3ALT and
k3AST, respectively). The
overall observation under ribavirin therapy is an accelerated
clearance of transaminases caused by a change in the
production-elimination ratio.
In conclusion, the data of the present study indicate that
higher IFN-
doses enhance viral clearance from serum. Combination therapy with
ribavirin, however, has no direct synergistic antiviral effect in
the treatment of chronic Hepatitis C with 6 MU rIFN- three times per
week. According to the reduction of transaminases as surrogate
markers for hepatocyte damage, ribavirin is likely to have
immunmodulatory and/or anti-inflammatory effects in patients with
chronic Hepatitis C.
Footnotes
Abbreviations: rIFN- , recombinant interferon alfa; HCV, Hepatitis C virus;
ALT, alanine transaminase; AST, aspartate transaminase.
Supported by the Bundesministerium für Bildung,
Wissenschaft, Forschung und Technologie (BMBF)
Received August 20, 1997; accepted April 24, 1998.
Address reprint requests to: Prof. Dr. med. Stefan Zeuzem,
Medizinische Klinik II, Zentrum der Inneren Medizin, Klinikum der
Johann Wolfgang Goethe-Universität, Theodor-Stern-Kai 7,
D-60590 Frankfurt a.M., Germany. Fax: 49-69-6301-6448.
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Copyright © 1998 by the American Association for the Study
of Liver Diseases.
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