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Journal of Virology, August 2005, p. 10059-10062, Vol. 79, No. 15
0022-538X/05/$08.00+0 doi:10.1128/JVI.79.15.10059-10062.2005
Department of Haematology, Prince of Wales Hospital, and Centre for Vascular Research, University of New South Wales, Kensington NSW 2052, Australia,1 Merck Research Laboratories, West Point, Pennsylvania 19486,2 Theoretical Biology and Biophysics, Los Alamos National Laboratory, Los Alamos, New Mexico 875453
Received 30 March 2005/ Accepted 12 April 2005
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Impact of initial number of vaccine-induced p11CM+ T cells on p11CM+ T-cell kinetics.
The first question we addressed was whether inducing higher p11CM+ T-cell numbers could overcome the observed delay in virus-specific CD8+ T-cell expansion (1, 7). Following infection, the number of p11CM+ T cells was not significantly increased compared to preinfection levels until day 14 for study B and day 15 for study A, and at these times, the numbers of p11CM+ T cells were
10-fold higher than preinfection levels (P values of 0.0039 and <0.0001, respectively [paired Wilcoxon]). The time p11CM+ T-cell expansion starts, ton, was estimated by finding when the T-cell growth curve, assumed to be exponential with
intersects the initial p11CM+ T-cell number prior to infection, T0 (Fig. 1a). If the observed number of p11CM+ T cells before infection is T0, the growth rate of p11CM+ T cells (calculated by linear regression of the natural-log transformed data) is g and the y intercept of this regression line is b, then the time when expansion commenced (ton) is as follows: ton = (lnT0 b)/g. The viral load at this time was calculated by linear interpolation of the log-transformed viral load data (using the two data points immediately before and after ton).
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FIG. 1. Virus-specific CD8+ T-cell and viral load kinetics. Numbers of p11CM+ T cells (A) and viral load (B) are shown for animal 122G (a macaque from study A), vaccinated with MVA-gag (9). Growth and decay rates of p11CM+ T cells and virus were estimated for individual animals by linear regression of log-transformed data. The time of initiation of p11CM+ T-cell growth was estimated from the intersection (X) of the growth curve of p11CM+ T cells (red) with the preinfection p11CM+ T-cell number (dashed). The viral load at this time was estimated by linear interpolation of the log-transformed viral load data.
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FIG. 2. Impact of initial vaccine-induced p11CM+ T-cell number on p11CM+ T-cell kinetics. The relationship between the vaccine-induced p11CM+ T-cell number prior to infection and T-cell kinetics following infection with SHIV-89.6P. Spearman r values and P values are shown for correlations between initial memory p11CM+ T-cell number and other variables. "Time of initial expansion" in panel a refers to ton, the estimated time of initial p11CM+ T-cell expansion (see the text). n.d., not detectable.
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2 cells µl1. However, for initial numbers between 2 and 158 cells µl1, a similar peak number (
600 cells µl1) was achieved, suggesting that larger initial numbers beyond 2 cells µl1 had little effect on the peak levels reached.
Following the peak in p11CM+ T-cell responses around day 20, most cells die, leaving a small pool of long-lived "memory" cells (Fig. 1a). The mean decay rate in the vaccinees was 0.32 ± 0.14 day1 (equivalent to a half-life of
2.2 days). This decay rate was negatively correlated with the initial p11CM+ T-cell number (r = 0.47, P = 0.037) (Fig. 2d). To estimate the efficiency of memory formation after the peak CD8+ T-cell response, we calculated the number of specific CD8+ T cells remaining at 6 weeks as a proportion of those cells at the peak of the response. Higher p11CM+ T-cell numbers before infection were found to be a significant predictor of a higher proportion of peak cells remaining at 6 weeks (r = 0.47, P = 0.038) (Fig. 2f). Thus, although high initial p11CM+ T-cell numbers did not contribute to higher peak p11CM+ T-cell numbers, they did lead to a higher number of memory p11CM+ T cells. This suggests that a high initial number of memory cells from vaccination contributed to better memory retention during the resolution phase of primary infection, perhaps due to the better preservation of CD4+ T-cell help (5, 11).
Impact of initial p11CM+ T-cell number on viral kinetics. In our previous study, we found that vaccination had no significant effect on viral load prior to day 10 of infection (7). In the present study, the preinfection p11CM+ T-cell number was not correlated with viral load at day 10 (r = 0.22, P = 0.27 [Spearman]) (Fig. 3a), nor was there any correlation between the number of p11CM+ T cells preinfection and the initial viral growth rate (estimated by linear regression of the natural log-transformed viral load data) (r = 0.24, P = 0.24) (Fig. 3b). However, higher preinfection p11CM+ T-cell numbers were significantly associated with lower peak viral loads (r = 0.67, P = 0.0002) (Fig. 3c).
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FIG. 3. Relationship between initial p11CM+ T-cell frequency and viral kinetics and CD4+ T-cell numbers following infection. The relationship between the vaccine-induced p11CM+ T-cell number prior to infection and viral load at various times, viral growth and decay rates in acute infection (estimated by linear regression of the natural log-transformed viral load data), and CD4+ T-cell depletion (measured one week after peak viral load). Long-term viral load was measured at 18 weeks. Spearman r values and P values are shown for correlations between initial p11CM+ T-cell number and other variables. n.d., not detectable; *, a negative value for the percent CD4+ T-cell depletion (panel f) in one animal is shown as zero.
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20.3 h). There was no correlation between viral decay rate and either preinfection p11CM+ T-cell number (r = 0.30, P = 0.13) (Fig. 3d) or peak p11CM+ T-cell number (r = 0.14, P = 0.50). Thus, as we have previously observed (7), high virus-specific CD8+ T-cell numbers did not appear to affect the postpeak decay rate of virus in acute infection. However, viral decay continued for longer and to lower levels in animals with a higher initial p11CM+ T-cell number. Long-term viral loads (
18 weeks) were inversely correlated with initial p11CM+ T-cell numbers (r = 0.64, P = 0.0004) (Fig. 3e). SHIV-89.6P mediates early and rapid CD4+ T-cell depletion in naïve animals. We calculated the level of CD4+ T-cell depletion as follows: [(initial CD4+ T-cell number) (CD4+ T cells at time t)]/(initial CD4+ T-cell number), where the initial number was determined at day 1 or 7. Initial p11CM+ T-cell number was inversely correlated with the level of CD4+ depletion both early after infection, one week after peak in viral load (r = 0.66, P = 0.0003) (Fig. 3f), and late, day 122 to 129 (r = 0.74, P < 0.0001).
Implications for vaccine design. The delay in CD8+ T-cell control of virus following infection allows for uncontrolled early viral growth and the establishment of chronic infection (7). One might speculate that extremely potent vaccination regimens could overcome this delay and mediate sterilizing immunity to infection. Now, we report that higher initial virus-specific CD8+ T-cell numbers led to longer delays before the initial expansion of these cells and slower growth once expansion commenced. However, higher initial virus-specific CD8+ T-cell numbers led to higher numbers of memory CD8+ T cells, reduced peak viral loads, and improved long-term viral control.
Since these animals were primed with whole antigens, they make CD8+, CD4+, and antibody responses to multiple epitopes, and we cannot exclude the possibility of the contributions of these other factors to the observed correlations between p11CM+ T-cell numbers and outcome. Other important factors not analyzed are responses against different epitopes and the functional status of the virus-specific CD8+ T cells. However, it is unlikely that targeting of other (subdominant) epitopes will be more successful at mediating early viral control, as we have previously shown that these T cells are also delayed and grow more slowly than the dominant response (7). In addition, others have reported similar delays for functionally capable virus-specific CD8+ T cells (1).
There is no clear consensus on the type of immune response required to control HIV infection. Kinetic analysis of the effects of antibody (12) and CD8+ T cells (1) on virus provides insights into the possibilities and limitations of these responses. CD8+ T-cell-inducing vaccines appear unable to mediate sterilizing immunity but may mediate long-term viral control and improved clinical outcome for infected individuals. Such disease-modifying vaccines may also contribute to the control of the HIV epidemic (6, 10). Additional hurdles to effective vaccination may also be encountered for natural HIV infection, due to the antigenic variation of the virus. Optimal T-cell responses may need to be more broadly targeted, both to cover the range of viral strains present in the community and to reduce the risk of immune escape within the individual (3, 8). Thus, a consideration of quantitative and qualitative aspects of the CD8+ T cells response to virus is crucial, since a thorough understanding of the interplay between cytotoxic T lymphocytes and virus can lead to a more rational vaccine design process.
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