The models provide a new interpretation of the
slope of virus decay in drug treatment studies (1–6). We assume that
before therapy, new infections occur at a constant rate β. This leads
to an equilibrium distribution of y1,
y2, and y3 cells and free virus
v. Drug treatment reduces β to zero, which leads to a
decay of free virus and infected cells. (A) In model 1, the
equilibrium distribution of infected cells is y1(t) =
1 for t < t1, y2(t) =
exp[−α(t − t1)] for
t1 < t < t2, and
y3(t) = exp[−α(t2 −
t1) − (α + c)(t − t2)] for
t2 < t, where t is the time since
infection of the cell. Before drug treatment, the total amount of virus
producing cells is Y3(0) =
∫t2∞ y3(t)dt = [1/(α +
c)]exp[−a(t2 − t1)].
During drug treatment, this cell population declines as
Y3(T) = Y3(0) for T <
t2, and Y3(T) =
Y3(0)exp[−(α + c)(T −
t2)] for T > t2. Here
T denotes time after start of drug treatment. Thus, virus
decline occurs with a shoulder of length t2
followed by an exponential decline with slope α + c. (B)
If we include a small fraction, h, of cells that are not
exposed to CTL-mediated killing, the virus-producing cell population
declines as Y3(T) = [(1 − h)/(α +
c)]exp[−α(t2 − t1) − (α +
c)(T − t2)] + (h/c)exp[−c(T −
t2)]. In a patient with a weak CTL response (α ≈
0), the exponential decline is c, and in a patient with a
strong CTL response (α ≫ c), the decline is again
roughly c. Thus, the rate of virus decline does not reflect
the rate of CTL-mediated killing, α. (C) In model 2,
virus-producing cells, Y3(T), decline as
[(b − c)/a]e−at + [(α − a +
c)/(α + b)]e−(α+b)t − [(α − a +
b)/(α + c)]e−(α+c)t. This expression
again describes an initial shoulder followed by an exponential decay.
The slope of the exponential decay is determined by the smallest value
among a, b + α, or c + α. If the
rate, a, at which infected cells proceed to become targets
for CTL killing is slow, then the exponential decay in treatment
studies may simply reflect this process and not depend on the rate of CTL-mediated killing, α. In
all models, free virus is produced from infected cells according to
v̇ = kY3 − uv. If free virus turnover is
fast, then v(T) is proportional to
Y3(T) and the decline of
Y3(T) can directly be interpreted as free virus
decline; if not, then one more integration is necessary, but the
conclusions are unaffected as long as u is not the slowest
rate constant, which is very unlikely. For model 1, we chose
c = 0.4, t1 = 0.5, t2 = 1, and
h = 0.05. For model 2 we chose a = 0.4,
b = 2, and c = 0.5 (continuous lines). Broken
lines indicate noncytopathic virus with c = 0.01.