Elite Suppressors Harbor Low Levels of Integrated HIV DNA and High Levels of 2-LTR Circular HIV DNA Compared to HIV+ Patients On and Off HAART
Elite suppressors (ES) are a rare population of HIV-infected individuals that are capable of naturally controlling the infection without the use of highly active anti-retroviral therapy (HAART). Patients on HAART often achieve viral control to similar (undetectable) levels. Accurate and sensitive methods to measure viral burden are needed to elucidate important differences between these two patient populations in order to better understand their mechanisms of control. Viral burden quantification in ES patients has been limited to measurements of total DNA in PBMC, and estimates of Infectious Units per Million cells (IUPM). There appears to be no significant difference in the level of total HIV DNA between cells from ES patients and patients on HAART. However, recovering infectious virus from ES patient samples is much more difficult, suggesting their reservoir size should be much smaller than that in patients on HAART. Here we find that there is a significant difference in the level of integrated HIV DNA in ES patients compared to patients on HAART, providing an explanation for the previous results. When comparing the level of total to integrated HIV DNA in these samples we find ES patients have large excesses of unintegrated HIV DNA. To determine the composition of unintegrated HIV DNA in these samples, we measured circular 2-LTR HIV DNA forms and found ES patients frequently have high levels of 2-LTR circles in PBMC. We further show that these high levels of 2-LTR circles are not the result of inefficient integration in ES cells, since HIV integrates with similar efficiency in ES and normal donor cells. Our findings suggest that measuring integration provides a better surrogate of viral burden than total HIV DNA in ES patients. Moreover, they add significantly to our understanding of the mechanisms that allow viral control and reservoir maintenance in this unique patient population.
Published in the journal:
. PLoS Pathog 7(2): e32767. doi:10.1371/journal.ppat.1001300
Category:
Research Article
doi:
https://doi.org/10.1371/journal.ppat.1001300
Summary
Elite suppressors (ES) are a rare population of HIV-infected individuals that are capable of naturally controlling the infection without the use of highly active anti-retroviral therapy (HAART). Patients on HAART often achieve viral control to similar (undetectable) levels. Accurate and sensitive methods to measure viral burden are needed to elucidate important differences between these two patient populations in order to better understand their mechanisms of control. Viral burden quantification in ES patients has been limited to measurements of total DNA in PBMC, and estimates of Infectious Units per Million cells (IUPM). There appears to be no significant difference in the level of total HIV DNA between cells from ES patients and patients on HAART. However, recovering infectious virus from ES patient samples is much more difficult, suggesting their reservoir size should be much smaller than that in patients on HAART. Here we find that there is a significant difference in the level of integrated HIV DNA in ES patients compared to patients on HAART, providing an explanation for the previous results. When comparing the level of total to integrated HIV DNA in these samples we find ES patients have large excesses of unintegrated HIV DNA. To determine the composition of unintegrated HIV DNA in these samples, we measured circular 2-LTR HIV DNA forms and found ES patients frequently have high levels of 2-LTR circles in PBMC. We further show that these high levels of 2-LTR circles are not the result of inefficient integration in ES cells, since HIV integrates with similar efficiency in ES and normal donor cells. Our findings suggest that measuring integration provides a better surrogate of viral burden than total HIV DNA in ES patients. Moreover, they add significantly to our understanding of the mechanisms that allow viral control and reservoir maintenance in this unique patient population.
Introduction
A small percentage (less than 0.5%) of people who are infected with Human Immunodeficiency Virus (HIV) are capable of naturally controlling the infection without the use of highly active anti-retroviral therapy (HAART) [1]–[7]. These patients, termed elite suppressors (ES), are seropositive but maintain viral RNA levels in plasma below 50–75 copies per mL [1]. The mechanisms involved in viral control may include a combination of viral [8], [9] and host-mediated factors [10]–[12], which appear to be variable between patients [2], [4]. This group, therefore, is likely comprised of a heterogeneous population of people controlling virus replication by different mechanisms [3], [13] and to different extents [14]. Accurate and sensitive methods to measure very low viral burden by different parameters are needed to further characterize this patient population and may help identify subsets within this category.
Viral burden in HIV infected patients can be measured as viral particles containing RNA, cell associated viral RNA, and total and integrated viral DNA. Viral burden quantification in ES has been limited to measurements of viral RNA in plasma, cell-associated viral RNA or total DNA (often described as “proviral DNA”) in PBMC, and estimates of Infectious Units per Million cells (IUPM) [14]–[17]. To our knowledge, there have been no previous attempts to specifically measure integrated DNA in ES patients. Integrated viral DNA is believed to be of great importance in the establishment of a latent reservoir that is resistant to HAART and measuring integration may serve as a surrogate measure of the viral reservoir in the absence of ongoing replication [18]. The establishment of this latent reservoir is thought to occur early in the course of infection [19], but the contribution of integrated HIV DNA to viral persistence in ES patients remains unknown. Here, we apply a unique, sensitive and precise method to measure integrated HIV DNA in PBMC samples obtained from ES patients. In order to accurately measure very low levels of HIV integration in this cohort, we increased the sensitivity of our previously described repetitive sampling Alu-gag PCR integration assay [20] by increasing the number of genomes assayed per well. We find low but measurable levels of integrated DNA in 10 out of 10 ES patients with a wide distribution of levels of integration between patients. The level of integration in ES patients was significantly lower than that in equally suppressed patients on HAART. This is intriguing, given that we and others [17] find the level of total HIV DNA in ES patients is similar to that in HAART treated patients, albeit with small data sets for comparison. To determine if the unintegrated HIV DNA in the ES samples was due to the accumulation of 2-LTR circular DNA, we measured 2-LTR circular HIV DNA in these (and other) samples. We found 2-LTR circles were present at detectable levels more often in samples from ES patients, compared to samples from patients on HAART and off HAART. Furthermore, the levels of 2-LTR circular HIV DNA were higher in ES than in on-HAART patients. As shown through in vitro inoculations, the excess of 2-LTR circles was not due to an innate restriction at the level of integration in the ES cells since integration occurred with similar efficiency in CD4+ T cells from ES and normal donors after in vitro inoculation with HIV.
Results
Generation and validation of our quantitation methods for HIV Integration (Figure 1)
As previously described, a linear correlation exists between the average natural log of the Alu-gag cycle thresholds (Cts), and the natural log of the number of integrated HIV DNA copies per well (Figure 1A). Using these methods we can detect down to 1 copy of HIV DNA integrated in 15,000 genomes (7,500 diploid cells). To enhance the sensitivity of our assay in order to measure lower integration levels, we simply added more genomes to each well and created a new standard curve for samples of DNA at 300,000 genomes per 50 µl reaction (Figure 1B). We needed to generate a new standard curve at the higher genome number because as expected, Alu-gag signal per integration level is weaker at higher genome copies. This is expected because increased genomes will result in a larger number of Alu-Alu competitive reactions. As before, we then calculate the average level of integration and the 95% confidence interval using the standard curve and the 42 replicates as described [20]. To use this method, we require that the average Alu-gag Ct is lower than the average gag-only Ct. At lower levels of integration, the average Alu-gag Cts were not statistically different than the gag-only Cts. However, we found that individual Alu-gag Cts were clearly significantly different than the gag-only signals. Thus, we found that we could correlate the percent positive Alu-gag signals to the proviral number as described in detail in Figure S1, allowing us to quantify even lower integration values.
We validated both methods of quantitation (Alu-gag Ct values vs percent positive signals) by demonstrating that we could achieve similar measurements for a given sample using both standard curves (Table S1). Additionally, we validated the reproducibility of both methods by measuring the same sample on different days (Table S1, samples D and E). Finally, we determined the coefficient of variation for total and integrated DNA measurements by preparing DNA from 6 separate aliquots of PBMC. Each total and integrated HIV DNA measurement was performed on different days by 3 different individuals (Table S2).
HIV DNA Integration levels in ES patient samples (Figure 2)
Using the above methods designed to measure integration in patients with extremely low levels of integrated HIV DNA, we assayed ten elite suppressors (Table 1) at 300,000 genomes per 50 µl. Integration was measurable in all ten elite suppressor samples tested. The median level of integration (+/−S.D.) for the cohort was 14.4, +/−16.0 integrated HIV DNA copies per million PBMC. Integrated HIV DNA levels ranged from one copy in 19,000 cells all the way down to around one copy in 2 million cells. For 4 of the 10 patients, it was necessary to use the percent positive method at 300,000 genomes in 50 µl due to the low level of integrated HIV DNA in the sample (patients 1, 5, 6 and 8) as described in Figure S1. For the remaining 6 patients, the average Ct method was valid.
Elite suppressors have smaller reservoirs than HAART treated patients (Figure 2 and Figure 3)
The levels of integrated HIV DNA found in 10 elite suppressors (Table 1) were compared to the levels in 21 HAART treated subjects and 8 patients off HAART. Measurements from six of the off HAART patients and ten of the on HAART patients were previously published in Yu et al. [21] and measurements from seven of the on HAART patients were previously reported in Agosto et al. [22]. Table S3 reports the characteristics for the remaining patients (4 on and 2 off HAART). All HAART treated patients had viral loads below the limit of detection and the CD4+ T cell counts for the cohort were not statistically different from those of the elite suppressors (nonparametric Wilcoxon rank-sum test p>0.05). Although both patient populations have undetectable viral loads, the level of integrated HIV DNA in elite suppressors is significantly lower than that found in HAART treated patients (Figure 2, p< 0.001), consistent with a smaller and difficult to measure reservoir size (as had been previously assessed by attempts to culture out infectious virus [15], [17]). For a subset of ES and on HAART patients we were able to normalize our data to CD4+ T cell counts and to µL of blood. The level of integrated HIV DNA per CD4+ T cell or per µL was still significantly lower in the ES group compared to patients on HAART (Figure S2 A,C).
Samples were also subjected to PCR targeting the RU5 region as a measure of total HIV DNA. Intriguingly, HIV RNA/mL of plasma [14], [16] and total HIV DNA per cell [17] are similar in these two patient populations. We confirmed this comparison within this sample population, noting no significant difference in the level of total HIV DNA between ES patients and patients on HAART (Figure 3). In addition, when normalized to CD4+ T cell count or µL of blood, the level of total HIV DNA is still not statistically different between patients on HAART and ES, although the median level is lower in ES (Figure S2 B,D).
Measures of total and integrated HIV DNA in ES patients show a large excess of unintegrated HIV DNA (Figure 4)
Previous measures of total HIV DNA in ES patients showed similar levels in ES patients and patients on HAART [17] and our data support this conclusion (Figure 3). A few studies suggest total may be slightly lower in ES [2], [23] thus a larger number of samples might reveal total HIV DNA is slightly lower in ES. Here we show in 10 ES patients there is a large difference between the levels of total and integrated HIV DNA in the ES patient population (Figure 4 A,B), suggesting that measuring total HIV DNA is not a suitable estimate of the size of the HIV reservoir in ES. We also compared the ratios of total vs. integrated HIV DNA measured in each patient sample, as an estimate of excess unintegrated HIV DNA, and found a significant difference between ES patients and patients on and off-HAART (Figure 4B).
2-LTR circles in patient samples (Figure 5)
In order to determine if the excess of unintegrated HIV DNA found in ES patients is due to the accumulation of circular DNA intermediates we measured 2-LTRs in each patient sample. We assayed samples from 12 of the 21 patients on HAART, 8 patients off HAART, and 10 ES patients for 2-LTR circles using 1 million cells per replicate in at least three wells. We detected 2-LTRs in 4/12 (33%) of the patients on-HAART, 3/8 (37.5%) of the patients off-HAART and 9/10 (90%) of the ES patient samples. Figure 5 shows the median and standard deviation of the 2-LTR levels for the samples in which we detected signals in each patient population. The median level of circular 2-LTR DNA in ES patients is significantly higher than that in the on HAART patient population. Our ability to detect 2-LTR HIV DNA is consistent with previous reports in the literature [24]–[27] and suggests that 2-LTR circles are a minor component in chronic progressors on and off-HAART. However, when we assayed 2-LTR circles in the ES samples, we detected them in 9 of the 10 patients we sampled and the median levels were higher than those found in patients on HAART, by Wilcoxon rank-sum test (Figure 5).
Excess of 2-LTR circles in ES are not explained by innate restriction to integration (Figure 6 and Table 2)
To examine whether the high levels of 2-LTR circles found in ES could be explained by a block to infection after reverse transcription but prior to integration, ES cells were infected in vitro. We negatively isolated unstimulated CD4+ T cells, by bead depletion, from all 10 ES samples, and spinoculated with an X4-tropic virus (NL4-3) in the presence of saquinavir. As controls, cells from uninfected donors were inoculated side by side with the ES cells. At two and four days post-inoculation, we isolated DNA and measured reverse transcription and integration. The levels of reverse transcription and integration were not statistically different when compared with normal donors two days (Figure 6A) and four days (data not shown) after infection. Moreover, the integration efficiency was the same between the two populations as shown by integrated copies per reverse transcript (Figure 6A). To ensure that ES did not possess a restrictive factor that was oversaturated at a high MOI, we also infected 6 of the 10 ES samples with serial dilutions of virus, down to a 1∶1,000 dilution. Consistent with the high MOI data (Figure 6A), the dilution series also yielded similar levels of reverse transcription, integration, and integration efficiency (integrated copies per reverse transcript) between the normal donor and ES cells (Figure 6B). In Table 2 we compared the percent of HIV DNA that was integrated between the ES in vitro experiments at a 1∶1000 dilution (to mimic in vivo levels of infection) and ES in vivo measurements. We find that ES cells contain a lower percentage of integrated HIV DNA in vivo when compared to the levels after in vitro inoculation (Table 2). The lower percentage found in vivo in ES is consistent with the idea that these cells are under stronger immune pressure. A CCR5 tropic HIV was also tested in the same system, yielding similar results (data not shown). These results argue against the presence of an innate restriction to integration in ES cells that would result in high levels of 2-LTR circles.
Discussion
A small percentage of people that become infected with HIV-1 are able to naturally control viral levels without the use of antiretroviral therapies. Understanding the mechanisms that enable control of viremia in these patients could further our understanding of the pathogenesis of this virus and aid in the development of vaccines against HIV-1. Since this population is defined by having undetectable virus levels in plasma (using conventional methods of detection), other methods need to be employed to measure differences in viral burden within this group. Our lab has developed a very accurate and sensitive method for quantitation of integrated HIV DNA in PBMC from patients with HIV [20], [21], [28] based on Alu repeats [29], [30]. Using a well-described integration standard we enhanced our methods of quantitation to measure very low levels of integration. We quantify low levels of integrated viral copies by increasing the number of genomes we assay per well. Furthermore, by counting the percent of positive Alu-gag signals after using our repetitive sampling Alu-gag PCR integration assay, we further lowered our limit of detection to enable quantitation of very low numbers of integrated HIV DNA copies in each patient sample. Using these methods we found that ES patients harbor lower levels of integrated HIV DNA compared to patients whose plasma viremia is equally suppressed by highly active antiretroviral therapy (HAART). This is an important difference between ES and patients on HAART given that viral RNA/ml [14], [16] and total DNA/cell [17] are similar in these two groups. We also found higher levels of 2-LTR circles in ES patient samples compared to samples from patients on HAART, which confirms our finding of a large excess of unintegrated HIV DNA in ES samples.
Elite suppressors and HAART treated patients are not distinguishable when some measures of viral burden are compared such as viral RNA in plasma and total HIV DNA copies in cells. Independent groups have compared viral RNA/ml of plasma in ES and patients on-HAART by these methods and found similar levels between these populations [12], [14]–[16], [31]. More recently, Julg et al compared total HIV DNA levels in ES and HAART treated patients and again found no significant differences in viral burden as assessed by total HIV DNA [17]; although though another study found slightly lower levels of total HIV DNA but did not do a direct comparison to patients on HAART [2].
One clear difference between ES and HAART treated patients is the size of the reservoir as estimated by using Infectious Unit Per Million (IUPM) assay. This method enumerates the number of latently infected cells, or the number of cells capable of producing infectious virus following stimulation of cells in vitro. Blankson et al used this approach to characterize replication competent HIV-1 in a subset of ES and was able to successfully culture 6 viral isolates from 4 ES. In this study, virus was not cultured from 6 of the 10 participants, making viral load quantification impossible in these patients. Nevertheless, the authors could conclude that the viral reservoir in ES must be at least one log lower than that of HAART treated patients using the IUPM assay. Julg et al also attempted to recover replication competent viruses from ES and were only able to detect replicating viruses in 2 of 14 ES sampled, even though they found equal numbers of total HIV DNA copies in ES and HAART treated patients [17]. In summary, viral quantitation in this patient population using the IUPM method was only possible in 6 out of 24 (25%) of the patients tested. Thus, viral reservoir size is smaller in ES compared to HAART patients, but it is difficult to measure viral reservoirs by the IUPM assay because the reservoir size is nearing detection limits for this assay.
Taken together, these prior studies point towards an important discrepancy between total HIV DNA/cell measures and reservoir size. Low levels of integrated HIV DNA in ES can explain the discrepancy between total HIV DNA and reservoir size. Total HIV DNA is made up of integrated and unintegrated HIV DNA forms. Unintegrated HIV DNA forms accumulate in cells when reverse transcription is completed but integration does not occur. 2-LTR circles are noted to accumulate to high levels when integration is inhibited [32]–[34]. Unintegrated HIV DNA (and especially circular forms which are a dead-end product) is thought to contribute minimally, if at all, to viral production [34]–[41]. Thus, it stands to reason that measuring integrated HIV DNA is a better surrogate of replication competent virus than total HIV DNA. Nonetheless, how good a surrogate integrated DNA is for reservoir size remains unclear.
There is data to suggest that integrated DNA may be a useful surrogate for reservoir size. For example, studies suggest that the reservoir size is constant over time [42], [43] and that the level of integrated HIV DNA is relatively constant over time ([44]–[47] and our unpublished data). The similar kinetic profile between these two parameters suggests they mimic each other. Here we find that integrated HIV DNA is very low in ES consistent with studies showing that reservoir size, as estimated by IUPM, is low in ES. Thus, our data further support that integrated HIV DNA may be a useful surrogate for reservoir size. Given the difficulty and cost to measure IUPM and that IUPM cannot even be detected in some ES, measurement of integration would be an attractive surrogate if valid. Notably, we successfully measured integration levels in all ES samples.
Measurements of integrated HIV DNA in ES may provide useful information and help characterize this unique group of patients. In one study, Hatano et al measured levels of HIV RNA in plasma, cell-based HIV RNA, and total DNA in patients with plasma levels <50–75 copies/ml who had not received antiretroviral therapies [16]. The authors showed a trend toward a slow increase in viral RNA levels, suggesting the reservoir size may increase over time. In addition, viral evolution is detectable in ES supporting the notion that ongoing replication is present in this patient cohort [48], [49]. Perhaps, by applying our methods of detection for integrated HIV DNA over time in ES we could detect small changes in viral reservoirs in this patient population. In another study, Sedaghat et al studied a cohort of ES over-time and failed to detect changes in CD4+ T cell counts over a 10-year period. However, they demonstrate in one patient that treatment with HAART led to a marked decrease in markers of immune activation [50]. Whether ES would benefit from therapeutic intervention is currently unknown, but more sensitive measures of changes in reservoir size over time may help us determine the effect of therapeutic interventions in this patient subset.
Our patient data raises the possibility that T cells in ES patients may restrict HIV before the step of integration. In other words, if integration occurs inefficiently then more 2LTRs will form. We found no obvious restriction to integration after in vitro inoculation of CD4+ ES cells. These results are consistent with studies that demonstrated the kinetics of spreading infection were similar in activated ES and normal donor cells [17], [51].
At least three possibilities exist to explain our in vivo observations. One, ES CD4+T cells contain a restrictive factor that limits infection. Two, the 10 ES patients possess defective viruses that are inefficient at infection. Three, cytotoxic T lymphocytes destroy infected cells thus lowering the level of integrated HIV DNA, while cells containing 2-LTR circles are preserved. We were only able to partially test the first of these theories in the current work. We find that after inoculation in vitro, even at very low multiplicities of infection, ES CD4+T cells have similar integration efficiencies compared to normal donors. Defects at other steps of life cycle may still exist within ES cells and have only been partially addressed by the literature. Consistent with our data, spreading infection occurs with similar efficiency in activated PBMC from ES and normal donors; however, these cells were artificially activated and so may not be representative of cells in vivo [51], [17]. Notably, it was recently reported at International AIDS Symposium by Lichterfeld et al. that some steps in the viral life cycle appear to be restricted in HIV inoculated cells from ES patients, suggesting cellular restriction factors should not be completely ruled out. At the same time a recent report shows ES cells expressed similar levels of GFP after infection with an R5 or X4 pseudotyped GFP vector [52]. Therefore, if restrictions exist they likely involve accessory proteins that were not present in the recent report [52]. In conclusion, our data suggests that there is not a restriction at the step of integration. However, there are limitations to our and others' in vitro experiments. For example, it remains possible that there are restrictions at other steps in the viral life cycle. It is also possible that primary isolates would show a restriction not apparent with NL4-3 or AD8.
The lack of a restriction to integration leads us to suspect that CTL pressure on infected cells in ES individuals may eliminate cells with successful integration leading to lower levels of integrated HIV DNA. Strong CTL activity could keep the level of integration low by targeting cells that contain integrated HIV DNA if integration leads to the expression of HIV specific proteins that can be processed and presented at their surface. Several studies show CTL responses are more effective in ES than other HIV-infected individuals [12], [51], [53]-[61]. In addition, cells that contain 2-LTR circles should be under less CTL pressure as they express less HIV proteins. Furthermore, they may accumulate to higher levels because ongoing replication persists in ES [48], [49]. To understand the accumulation of 2-LTR circles in ES it may be important to determine the half-life of T cell subsets in ES patients given the low level of activation compared to progressors [62] and possibly patients on HAART [63].
In conclusion, we developed and validated a method of quantitation that is accurate and sensitive enough to measure very low levels of integrated HIV DNA in patient samples. Using this method we can more accurately measure reservoir size in a wide range of patients, including ES patients, patients on HAART and others. We find that ES patients harbor a smaller reservoir of integrated HIV DNA than well-suppressed patients on HAART. These patients harbor high levels of 2-LTR circular HIV-DNA, confirming that there is an excess of unintegrated HIV DNA in this patient population. Our findings add significantly to our understanding of the mechanisms that allow viral control in this unique patient population.
Materials and Methods
Integration assay
The two-step repetitive sampling integration assay for patient samples has been previously described [20]. Briefly, a first step PCR reaction containing a forward primer specific for the human Alu element and a reverse primer specific for the HIV gag gene is followed by a nested, real-time PCR reaction containing primers and a probe specific for the HIV LTR, allowing for quantification by cycle threshold values. Samples are analyzed in a minimum of 42 replicates [21]. Samples are simultaneously analyzed by the same method using only gag primers to account for background signals from unintegrated HIV DNA. We require a minimum of 5 positive signals to quantify each sample. Therefore, the number of repeats assayed varied from patient to patient, but was always greater than or equal to 42 replicates. Each patient is assayed on different days and on occasions it is required that we assay one patient on multiple different days to obtain robust measurements of integration (i.e. 5 positive wells). Therefore to control for day to day variation, we run 4 IS control samples on each run and require that the Ct values for these samples fall within a small range.
Measurement of total HIV DNA
PCR amplification targeting the RU5 region of HIV was performed using the same primers and probe used in the second step of the integration reaction [21] in a single round of 40 cycles. DNA samples were diluted to contain 1e6, 5e5, and 2.5e5 cells per well for analysis in triplicate wells of a 96 well plate. Ct values were inserted into a regression line equation obtained from a standard curve from the same reaction using samples with known copy numbers of pNL4-3 plasmids. The mean and standard deviation of the nine measurements were calculated for each sample.
High DNA concentration standard curve (300,000 genomes per well)
In order to enhance our ability to detect integrated DNA in patient samples with extremely low levels, the number of genomes assayed per well was increased from 15,000 genomes (7,500 cell equivalents) to 300,000 genomes (150,000 cell equivalents) per reaction. Our previous measurements were performed by diluting DNA samples to a concentration of 2 µg/mL or 15,000 genomes in 25 µL (low concentration) and then adding 25 µL of master mix. We chose a new concentration of 40 µg/mL or 300,000 genomes per 25 µL to establish a new standard curve. The final volume for each reaction is 50 µL/well, resulting in a final concentration of 1 µg/mL (low concentration) or 20 µg/mL (high concentration) of sample DNA.
Analysis of integration level using Ln(Ct) vs Ln(HIV copies per well)
Using dilutions of our integration standard, previously described [28], in PBMC DNA and the repetitive sampling method, a standard curve was generated by plotting the natural log of the average cycle threshold versus the natural log of the number of HIV DNA copies per well at 300,000 genomes per well in order to calculate a new regression equation. The dynamic range of the high genome assay using this method is from 3.33 to 185 integrated HIV DNA copies per million cells. The top dilution of the standard was chosen based on the detection limit of our prior assay. When levels of integration are above this range our standard integration assay provides robust measurements and is the preferred method as it requires much less DNA [21].
Analysis of integration level using percent of positive signals vs HIV copies per well
Standard curves were also generated by plotting the percent positive versus the integration levels for both the low (15,000 genomes per well) and high (300,000 genomes per well) DNA concentrations of genomes. The upper limit for the low genome curve is 133 integrated HIV DNA copies per million cells (or about 1 provirus per well with 7,500 cells) and the upper limit for the high genome curve is 16.6 integrated HIV DNA copies per million cells (or about 2.5 proviruses per well with 15,000 cells). The upper limit for these standard curves is caused by the plateau that occurs when 100% of wells are positive. In general, we only use repetitive sampling when less than 10% of the wells give a positive signal. The lower limit is defined by the number of replicate assays that are performed and so theoretically there is no lower limit. This analysis was used when either the average Ct for the Alu-gag signal was not significantly different than the gag-only signal, or when there was a limited amount of sample to assay as the percent positive method is more sensitive.
Study subjects and ethics statement
Subjects were recruited by Connors and Migueles from the Clinical Research Center, National Institutes of Health (Bethesda, MD) and signed informed consent forms were approved by the National Institute of Allergy and Infectious Diseases Investigational Review Board. The University of Pennsylvania's Institutional Review Board approved the transfer and use of materials for this research. Frozen PBMC from ten elite suppressors (Table 1) were available for analysis. The patients are part of a cohort studied at NIH under protocol # 02-I-0086 and provide pheresis products every 6 to 12 months for research use [5], [31]. Each patient maintained a viral load below the limit of detection (<50 copies per mL) for at least eleven years post-diagnosis (median 22 (range 11–31) years) and all were either HLA-B*57 or B*27 positive. Median CD4 counts were 884 (range 559-1616) cells/µl and median CD8 counts were 707 (range 300–1118) cells/µl. PBMC were thawed and genomic DNA was extracted using the Blood and Cell Culture Maxi Prep Kit (Qiagen, Valencia, CA). DNA samples were analyzed for total, integrated, and 2-LTR circular HIV DNA.
We have previously published measurements of total and integrated HIV DNA in samples from 17 patients on and 6 patients off HAART [21], [22]. We have since measured total and integrated HIV DNA in two more patients off and four more patients on HAART (from NIH, Table S3). We used these measurements for comparisons with our new ES patient samples. The patients referred to as being off HAART had never been treated with antiretroviral therapies (treatment naïve). The 2-LTR circular HIV DNA for this study had not been previously published.
Assay for circular 2-LTR HIV DNA
HIV 2-LTR segments were amplified using a kinetic PCR assay and methods previously described [64]. Serial dilutions of the 2-LTR plasmid of 1∶3 were preformed in a background of uninfected PBMC DNA. The dilutions were assayed from 1000 copies/well down to 1.4 copies/well. Using this method a positive signal from wells containing 1.4 copies could be detected 77% of the time, consistent with what would be predicted by the Poisson distribution. Samples containing 1.4 copies had the largest coefficient of variation (1.29).
In vitro infection of CD4+ enriched PBMC from ES and HIV- donors
PBMC from all ten ES were stained with FITC labeled lineage markers for CD8, CD14, CD16, CD20, CD56, CD11c. CD4+ T cells were negatively selected following the anti-FITC bead depletion protocol (Miltenyi Biotec, Germany). CD4+ T cells were spinoculated with pNL4-3 virus at a high MOI (such that there was on average 1–2 reverse transcripts per cell). In addition, samples from 6 of the 10 ES individuals were spinoculated with 3 serial ten-fold dilutions of virus. Cells from HIV-negative donors, at equal cell numbers, were infected in parallel as controls. After spinoculation, cells were treated with saquinavir to inhibit spreading infection. At two and four days post-infection, DNA was isolated with the DNA micro kit (Qiagen, Valenica, Ca). Reverse transcription was measured using the same primers used for patient samples, targeting the RU5 region, and integration was measured by our in vitro integration assay (as described in [65]). The nonparametric Wilcoxon rank-sum test was used to compare measurements of reverse transcription and integration in the ES samples to those from the HIV-negative donor samples. A p-value of <0.05 would have been considered significant.
Statistical analyses
The nonparametric Wilcoxon rank-sum test was used for unpaired comparisons. The associations between variables were assessed using the Spearman's rank correlation test or simple linear regression analysis. Chi-square test was used to assess whether differences in the percentage of LTR positive samples among groups were statistically significant. P values <0.05 were considered to be statistically significant. Statistical analyses were performed using WinSTAT.
Supporting Information
Zdroje
1. BlanksonJN
SilicianoRF
2008 Elite suppression of HIV-1 replication. Immunity 29 845 847
2. LambotteO
BoufassaF
MadecY
NguyenA
GoujardC
2005 HIV controllers: a homogeneous group of HIV-1-infected patients with spontaneous control of viral replication. Clin Infect Dis 41 1053 1056
3. DeeksSG
WalkerBD
2007 Human immunodeficiency virus controllers: mechanisms of durable virus control in the absence of antiretroviral therapy. Immunity 27 406 416
4. BlanksonJN
2010 Effector mechanisms in HIV-1 infected elite controllers: highly active immune responses? Antiviral Res 85 295 302
5. MiguelesSA
ConnorsM
2010 Long-term nonprogressive disease among untreated HIV-infected individuals: clinical implications of understanding immune control of HIV. JAMA 304 194 201
6. HubertJB
BurgardM
DussaixE
TamaletC
DeveauC
2000 Natural history of serum HIV-1 RNA levels in 330 patients with a known date of infection. The SEROCO Study Group. AIDS 14 123 131
7. LefrereJJ
MariottiM
Morand-JoubertL
ThauvinM
Roudot-ThoravalF
1999 Plasma human immunodeficiency virus RNA below 40 Copies/mL is rare in untreated persons even in the first years of infection. J Infect Dis 180 526 529
8. LassenKG
LobritzMA
BaileyJR
JohnstonS
NguyenS
2009 Elite suppressor-derived HIV-1 envelope glycoproteins exhibit reduced entry efficiency and kinetics. PLoS Pathog 5 e1000377
9. LearmontJC
GeczyAF
MillsJ
AshtonLJ
Raynes-GreenowCH
1999 Immunologic and virologic status after 14 to 18 years of infection with an attenuated strain of HIV-1. New Engl J Med 340 1715 1722
10. BaileyJR
O'ConnellK
YangHC
HanY
XuJ
2008 Transmission of human immunodeficiency virus type 1 from a patient who developed AIDS to an elite suppressor. J Virol 82 7395 7410
11. DingesWL
RichardtJ
FriedrichD
JalbertE
LiuY
2010 Virus-specific CD8+ T-cell responses better define HIV disease progression than HLA genotype. J Virol 84 4461 4468
12. MiguelesSA
OsborneCM
RoyceC
ComptonAA
JoshiRP
2008 Lytic granule loading of CD8+ T cells is required for HIV-infected cell elimination associated with immune control. Immunity 29 1009 1021
13. PereyraF
AddoMM
KaufmannDE
LiuY
MiuraT
2008 Genetic and immunologic heterogeneity among persons who control HIV infection in the absence of therapy. J Infect Dis 197 563 571
14. DinosoJB
KimSY
SilicianoRF
BlanksonJN
2008 A comparison of viral loads between HIV-1-infected elite suppressors and individuals who receive suppressive highly active antiretroviral therapy. Clin Infect Dis 47 102 104
15. BlanksonJN
BaileyJR
ThayilS
YangHC
LassenK
2007 Isolation and characterization of replication-competent human immunodeficiency virus type 1 from a subset of elite suppressors. J Virol 81 2508 2518
16. HatanoH
DelwartEL
NorrisPJ
LeeTH
Dunn-WilliamsJ
2009 Evidence for persistent low-level viremia in individuals who control human immunodeficiency virus in the absence of antiretroviral therapy. J Virol 83 329 335
17. JulgB
PereyraF
BuzonMJ
Piechocka-TrochaA
ClarkMJ
2010 Infrequent recovery of HIV from but robust exogenous infection of activated CD4(+) T cells in HIV elite controllers. Clin Infect Dis 51 233 238
18. RichmanDD
MargolisDM
DelaneyM
GreeneWC
HazudaD
2009 The challenge of finding a cure for HIV infection. Science 323 1304 1307
19. ChunTW
EngelD
BerreyMM
SheaT
CoreyL
1998 Early establishment of a pool of latently infected, resting CD4(+) T cells during primary HIV-1 infection. Proc Natl Acad Sci U S A USA 95 8869 8873
20. LiszewskiMK
YuJJ
O'DohertyU
2009 Detecting HIV-1 integration by repetitive-sampling Alu-gag PCR. Methods 47 254 260
21. YuJJ
WuTL
LiszewskiMK
DaiJ
SwiggardWJ
2008 A more precise HIV integration assay designed to detect small differences finds lower levels of integrated DNA in HAART treated patients. Virology 379 78 86
22. AgostoLM
LiszewskiMK
MexasA
GrafE
PaceM
2010 Patients on HAART often have an excess of unintegrated HIV DNA: Implications for monitoring reservoirs. Virology 409 46 53
23. RouziouxC
HubertJB
BurgardM
DeveauC
GoujardC
2005 Early levels of HIV-1 DNA in peripheral blood mononuclear cells are predictive of disease progression independently of HIV-1 RNA levels and CD4+ T cell counts. J Infect Dis 192 46 55
24. BrusselA
MathezD
Broche-PierreS
LancarR
CalvezT
2003 Longitudinal monitoring of 2-long terminal repeat circles in peripheral blood mononuclear cells from patients with chronic HIV-1 infection. AIDS 17 645 652
25. MorleseJ
TeoIA
ChoiJW
GazzardB
ShaunakS
2003 Identification of two mutually exclusive groups after long-term monitoring of HIV DNA 2-LTR circle copy number in patients on HAART. AIDS 17 679 683
26. FischerM
TrkolaA
JoosB
HafnerR
JollerH
2003 Shifts in cell-associated HIV-1 RNA but not in episomal HIV-1 DNA correlate with new cycles of HIV-1 infection in vivo. Antivir Ther 8 97 104
27. BuzonM
MassanellaM
LibreJM
EsteveA
DahlV
2009 HIV-1 replication and immune dynamics are affected by raltegravir intensification of HAART-suppressed subjects. Nat Med 16 460 465
28. O'DohertyU
SwiggardWJ
JeyakumarD
McGainD
MalimMH
2002 A sensitive, quantitative, assay for Human Immunodeficiency Virus type 1 integration. J Virol 76: 10,942-910, 950
29. BrusselA
DelelisO
SonigoP
2005 Alu-LTR real-time nested PCR assay for quantifying integrated HIV-1 DNA. Methods Mol Biol 304 139 154
30. ButlerSL
HansenMST
BushmanFD
2001 A quantitative assay for HIV DNA integration in vivo. Nat Med 7 631 634
31. MiguelesSA
WeeksKA
NouE
BerkleyAM
RoodJE
2009 Defective HIV-Specific CD8+ T Cell Polyfunctionality, Proliferation and Cytotoxicity Are Not Restored by Antiretroviral Therapy. J Virol 83 11876 11889
32. SvarovskaiaES
BarrR
ZhangX
PaisGC
MarchandC
2004 Azido-containing diketo acid derivatives inhibit human immunodeficiency virus type 1 integrase in vivo and influence the frequency of deletions at two-long-terminal-repeat-circle junctions. J Virol 78 3210 3222
33. HazudaDJ
FelockP
WitmerM
WolfeA
StilmockK
2000 Inhibitors of strand transfer that prevent integration and inhibit HIV-1 replication in cells. Science 287 646 650
34. EnglemanA
BushmanFD
CraigieR
1993 Identification of discrete functional domains of HIV-1 integrase and their organization within an active multimeric complex. EMBO J 12 3269 3275
35. Ansari-LariMA
DonehowerLA
GibbsRA
1995 Analysis of human immunodeficiency virus type 1 integrase mutants. Virology 211 332 335
36. CoffinJM
HughesSH
VarmusHE
1997 Retroviruses. Cold Spring Harbor, NY Cold Spring Harbor Laboratory Press 171 172
37. CaraA
GuarnacciaF
ReitzMS
GalloRC
LoriF
1995 Self-limiting, cell type-dependent replication of an integrase-defective human immunodeficiency virus type 1 in human primary macrophages but not T lymphocytes. Virology 208 242 248
38. EnglundG
TheodoreTS
FreedEO
EngelmanA
MartinMA
1995 Integration is required for productive infection of monocyte-derived macrophages by Human Immunodeficiency Virus type 1. J Virol 69 3216 3219
39. SakaiH
KawamuraM
SakuragiJ
SakuragiS
ShibataR
1993 Integration is essential for efficient gene expression of human immunodeficiency virus type 1. J Virol 67 1169 1174
40. StevensonM
HaggertyS
LamonicaCA
MeierCM
WelchSK
1990 Integration is not necessary for expression of human immunodeficiency virus type 1 protein products. J Virol 64 2421 2425
41. WiskerchenM
MeusingMA
1995 Identification and characterization of a temperature-sensitive mutant of human immunodeficiency virus type 1 by alanine scanning mutagenesis of the integrase gene. J Virol 69 597 601
42. FinziD
HermankovaM
PiersonT
CarruthLM
BuckC
1997 Identification of a reservoir for HIV-1 in patients on highly active antiretroviral therapy. Science 278 1295 1300
43. SilicianoJD
KajdasJ
FinziD
QuinnTC
ChadwickK
2003 Long-term follow-up studies confirm the stability of the latent reservoir for HIV-1 in resting CD4+ T cells. Nat Med 9 727 728
44. IzopetJ
CazabatM
PasquierC
Sandres-SauneK
BonnetE
2002 Evolution of total and integrated HIV-1 DNA and change in DNA sequences in patients with sustained plasma virus suppression. Virology 302 393 404
45. KoelschKK
LiuL
HaubrichR
MayS
HavlirD
2008 Dynamics of total, linear nonintegrated, and integrated HIV-1 DNA in vivo and in vitro. J Infect Dis 197 411 419
46. IbanezA
PuigT
EliasJ
ClotetB
RuizL
1999 Quantification of integrated and total HIV-1 DNA after long-term highly active antiretroviral therapy in HIV-1-infected patients. Aids 13 1045 1049
47. ChomontN
El-FarM
AncutaP
TrautmannL
ProcopioFA
2009 HIV reservoir size and persistence are driven by T cell survival and homeostatic proliferation. Nat Med 15 893 900
48. O'ConnellKA
BrennanTP
BaileyJR
RaySC
SilicianoRF
2010 Control of HIV-1 in elite suppressors despite ongoing replication and evolution in plasma virus. J Virol 84 7018 7028
49. MensH
KearneyM
WiegandA
ShaoW
Schonning
2010 HIV-1 continues to replicate and evolve in patients with natural control of HIV infection. J Virol 84 12971 12981
50. SedaghatAR
RastegarDA
O'ConnellKA
DinosoJB
WilkeCO
2009 T cell dynamics and the response to HAART in a cohort of HIV-1-infected elite suppressors. Clin Infect Dis 49 1763 1766
51. de QuirosJC
ShupertWL
McNeilAC
Gea-BanaclocheJC
FlaniganM
2000 Resistance to replication of human immunodeficiency virus challenge in SCID-Hu mice engrafted with peripheral blood mononuclear cells of nonprogressors is mediated by CD8(+) T cells and associated with a proliferative response to p24 antigen. J Virol 74 2023 2028
52. RabiSA
O'ConnellKA
NikolaevaD
BaileyJR
JilekBL
2010 Unstimulated Primary CD4+ T Cells from HIV Type 1 Positive Elite Suppressors are Fully Susceptible to HIV-1 Entry and Productive Infection. J Virol 85 979 986
53. MiguelesSA
LaboricoAC
ImamichiH
ShupertWL
RoyceC
2003 The differential ability of HLA B*5701+ long-term nonprogressors and progressors to restrict human immunodeficiency virus replication is not caused by loss of recognition of autologous viral gag sequences. J Virol 77 6889 6898
54. BettsMR
NasonMC
WestSM
De RosaSC
MiguelesSA
2006 HIV nonprogressors preferentially maintain highly functional HIV-specific CD8+ T cells. Blood 107 4781 4789
55. Saez-CirionA
LacabaratzC
LambotteO
VersmisseP
UrrutiaA
2007 HIV controllers exhibit potent CD8 T cell capacity to suppress HIV infection ex vivo and peculiar cytotoxic T lymphocyte activation phenotype. Proc Natl Acad Sci U S A 104 6776 6781
56. Saez-CirionA
SinetM
ShinSY
UrrutiaA
VersmisseP
2009 Heterogeneity in HIV suppression by CD8 T cells from HIV controllers: association with Gag-specific CD8 T cell responses. J Immunol 182 7828 7837
57. HerspergerAR
PereyraF
NasonM
DemersK
ShethP
2007 Perforin expression directly ex vivo by HIV-specific CD8 T-cells is a correlate of HIV elite control. PLoS Pathog 6 e1000917
58. PereyraF
PalmerS
MiuraT
BlockBL
WiegandA
2009 Persistent low-level viremia in HIV-1 elite controllers and relationship to immunologic parameters. J Infect Dis 200 984 990
59. BaileyJR
WilliamsTM
SilicianoRF
BlanksonJN
2006 Maintenance of viral suppression in HIV-1-infected HLA-B*57+ elite suppressors despite CTL escape mutations. J Exp Med 203 1357 1369
60. BaileyJR
BrennanTP
O'ConnellKA
SilicianoRF
BlanksonJN
2009 Evidence of CD8+ T-cell-mediated selective pressure on human immunodeficiency virus type 1 nef in HLA-B*57+ elite suppressors. J Virol 83 88 97
61. OwenRE
HeitmanJW
HirschkornDF
LanteriMC
BiswasHH
2010 HIV+ elite controllers have low HIV-specific T-cell activation yet maintain strong, polyfunctional T-cell responses. AIDS 24 1095 1105
62. HuntPW
BrenchleyJ
SinclairE
McCuneJM
RolandM
2008 Relationship between T cell activation and CD4+ T cell count in HIV-seropositive individuals with undetectable plasma HIV RNA levels in the absence of therapy. J Infect Dis 197 126 133
63. ChaseAJ
YangHC
ZhangH
BlanksonJN
SilicianoRF
2008 Preservation of FoxP3+ regulatory T cells in the peripheral blood of human immunodeficiency virus type 1-infected elite suppressors correlates with low CD4+ T-cell activation. J Virol 82 8307 8315
64. ButlerSL
JohnsonEP
BushmanFD
2002 Human Immunodeficiency Virus cDNA Metabolism: Notable Stability of Two-Long Terminal Repeat Circles. Journal of Virology 76 3739 3747
65. AgostoLM
YuJJ
DaiJ
KaletskyR
MonieD
2007 HIV-1 integrates into resting CD4+ T cells even at low inoculums as demonstrated with an improved assay for HIV-1 integration. Virology 368 60 72
Štítky
Hygiena a epidemiologie Infekční lékařství LaboratořČlánek vyšel v časopise
PLOS Pathogens
2011 Číslo 2
- Perorální antivirotika jako vysoce efektivní nástroj prevence hospitalizací kvůli COVID-19 − otázky a odpovědi pro praxi
- Stillova choroba: vzácné a závažné systémové onemocnění
- Diagnostický algoritmus při podezření na syndrom periodické horečky
- Jak souvisí postcovidový syndrom s poškozením mozku?
- Diagnostika virových hepatitid v kostce – zorientujte se (nejen) v sérologii
Nejčtenější v tomto čísle
- Genetic Mapping Identifies Novel Highly Protective Antigens for an Apicomplexan Parasite
- Type I Interferon Signaling Regulates Ly6C Monocytes and Neutrophils during Acute Viral Pneumonia in Mice
- Infections in Cells: Transcriptomic Characterization of a Novel Host-Symbiont Interaction
- The ESCRT-0 Component HRS is Required for HIV-1 Vpu-Mediated BST-2/Tetherin Down-Regulation