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Journal of Clinical Microbiology, April 2001, p. 1303-1310, Vol. 39, No. 4
Service de
Microbiologie1 and Service de Maladies
Infectieuses,2 Hôpital Rothschild, 33 Boulevard de Picpus, 75571 Paris Cedex 12, France
Received 20 September 2000/Returned for modification 21 November
2000/Accepted 10 January 2001
Proviral human immunodeficiency virus type 1 (HIV-1) DNA could be a
useful marker for exploring viral reservoirs and monitoring antiretroviral treatment, particularly when HIV-1 RNA is undetectable in plasma. A new technique was developed to quantify proviral HIV-1
using a TaqMan real-time PCR assay. One copy of proviral HIV-1 DNA
could be detected with 100% sensitivity for five copies and the assay
had a range of 6 log10. Reproducibility was evaluated in
intra- and interassays using independent extractions of the 8E5 cell
line harboring the HIV-1 proviral genome (coefficients of variation
[CV], 13 and 27%, respectively) and peripheral blood mononuclear
cells (PBMC) from a patient with a mean proviral load of 26 copies per
106 PBMC (CV, 46 and 56%, respectively). The median PBMC
proviral load of 21 patients, measured in a cross-sectional study, was determined to be 215 copies per 106 PBMC (range, <10 to
8,381). In a longitudinal study, the proviral load of 15 out of 16 patients with primary infection fell significantly during 1 year of
antiretroviral therapy (P = 0.004). In the remaining patient, proviral HIV-1 DNA was detectable but not quantifiable due to
a point mutation at the 5' end of the TaqMan probe. No correlation was
observed between proviral load and levels of CD4+ cells or
HIV-1 RNA in plasma. TaqMan PCR is sensitive and adaptable to a large
series of samples. The full interest of monitoring proviral HIV-1 DNA
can now be ascertained by its application to the routine monitoring of patients.
Measuring human immunodeficiency
virus type 1 (HIV-1) RNA in plasma has enabled the pathophysiology of
the infection to be studied, and this parameter, which directly
reflects viral replication, is the main prognostic factor for the
evolution of the disease (29). Standardization of
commercial tests has allowed this measurement to be used for routine
monitoring of the initiation of antiretroviral treatments and the
follow-up of their efficacy. These tests are currently used to assess
efficacy of combination therapy in clinical trials (19,
20). Highly active antiretroviral therapy (HAART) that includes
combinations of nucleoside and nonnucleoside inhibitors of reverse
transcriptase (RT) and/or antiprotease drugs leads to dramatic
reductions in HIV-1 RNA in plasma to below detectable levels, currently
50 copies per ml.
However, it is now well established that despite a powerful, long-term
inhibition of viral production in the majority of patients under HAART,
proviral HIV-1 DNA persists in peripheral blood mononuclear cells
(PBMC) and lymphoid tissue (8, 15, 37, 38). This reservoir, which establishes rapidly during the primary infection phase, is one of the major obstacles to the total eradication of the
virus, even if treatment is initiated at an early stage (32). Antiretroviral treatment also decreases proviral
HIV-1 DNA, but the rate of decline is generally lower than that of
plasma HIV-1 RNA, and detectable proviral HIV-1 DNA persists even
after prolonged treatment (3, 12, 36).
Therefore, it is important to be able to quantify proviral HIV-1 DNA
and to study its dynamics, particularly when HAART has led to plasma
HIV-1 RNA levels dropping below detection limits. Proviral HIV-1 DNA
quantification would thus be useful for monitoring individual patients,
and it could also be a helpful marker when HIV-1 RNA becomes
undetectable in order to compare the efficacies of different treatments
in cohort studies.
Several techniques for measuring proviral HIV-1 DNA have been described
(2, 23). However, these tests are difficult to carry out
and lack standardization, and at present none have been commercialized,
illustrating the difficulty of quantifying this marker. To be of use in
clinical protocols and routine measurements, a test should be
validated; have a defined sensitivity and specificity, a wide dynamic
range, and good intra- and interassay reproducibility; and be easy to perform.
Our aim was therefore to develop a method for quantifying proviral
HIV-1 DNA using real-time PCR that would be sensitive and reproducible
and have a high throughput. Proviral HIV-1 DNA could be measured not
only in PBMC but also in lymphoid tissue biopsy specimens. The
application of this technique to the monitoring of patients with
primary HIV-1 infection has confirmed that HAART decreases the proviral
load but has also shown that a detectable viral reservoir persists in
the majority of patients.
Patients.
Twenty-one consenting, HIV-1-seropositive adults
were enrolled in a cross-sectional study over a 10-day consultation
period in the Infectious Diseases Unit of the Rothschild Hospital,
Paris, France. Blood samples were collected for CD4+ and
CD8+ lymphocyte counts and measurements of HIV-1 RNA in
plasma and proviral HIV-1 DNA. Sixteen consenting adult patients with
symptomatic primary HIV-1 infection were also included in a
longitudinal study. The treatment began, on average, 15 days from the
onset of symptoms, with a three-drug combination of stavudine (D4T),
lamivudine (3TC), and indinavir (IDV) for nine patients and zidovudine,
3TC and didanosine for seven patients. Virological and immunological
parameters were monitored at day 0 (D0), and at month 1 (M1), M2, M3,
M6, M9, and M12 during therapy. Evaluation included a CD4+
and CD8+ lymphocyte count and measurements of HIV-1 RNA in
plasma and quantitative cellular viremia at each follow-up. In
addition, proviral HIV-1 DNA was quantified at D0, M1, M6, and M12 for
nine patients and at D0 and M12 for the remaining seven patients. The characteristics of the latter seven patients are described in part
elsewhere (17).
0095-1137/01/$04.00+0 DOI: 10.1128/JCM.39.4.1303-1310.2001
Copyright © 2001, American Society for Microbiology. All rights reserved.
Quantification of Human Immunodeficiency Virus Type
1 Proviral Load by a TaqMan Real-Time PCR Assay
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ABSTRACT
Top
Abstract
Introduction
Materials and Methods
Results
Discussion
References
![]()
INTRODUCTION
Top
Abstract
Introduction
Materials and Methods
Results
Discussion
References
![]()
MATERIALS AND METHODS
Top
Abstract
Introduction
Materials and Methods
Results
Discussion
References
Quantification of plasma HIV-1 RNA. A quantitative RT-PCR assay (Amplicor HIV1 Monitor version 1.5; Roche Diagnostics Systems, Meylan, France) was performed on samples from primary-infected patients with a lower detection limit of either 200 or 50 copies per ml. For the other clinical samples, plasma HIV-1 RNA levels were determined by the branched-DNA signal amplification method (Quantiplex HIV-RNA 2.0; Chiron, Cergy Pontoise, France), following the manufacturer's procedure, with a lower detection limit of 500 copies per ml.
Quantitative cellular viremia. Quantitative PBMC cultures were performed as previously described by Rouzioux et al. (34). The titers were calculated by using the Poisson distribution (Poisson Pilote software; Agence Nationale de Recherche sur le SIDA) and expressed as the number of infectious units (IU) per 106 PBMC. The cutoff value was 0.1 IU per 106 PBMC.
Preparation of biological samples and standard curves.
Blood
samples were collected into EDTA and, after separation on a
Ficoll-Hypaque gradient, pellets corresponding to 5 × 106 PBMC were prepared and stored at
80°C before use.
After lysis by proteinase K, DNA was extracted by a classic
phenol-chloroform procedure followed by ethanol precipitation and
stored at
20°C. Biopsy material was finely chopped before being
treated with collagenase (2 U/ml) for 18 h at 37°C. After
filtration over a Becton cell strainer (Becton Dickinson, Le Pont de
Claix, France), mononuclear cells were separated on a Ficoll gradient
and then treated as for the blood samples. The T lymphoblastoid cell
line 8E5 (ATCC 8993), which contains a single proviral genome of
HIV-LAV per cell, was used as a control for the quantification, with
cells being treated in parallel as described above.
20°C. The final dilution (10 copies) was prepared
immediately before use.
Measurement of the proviral HIV-1 DNA by TaqMan real-time
PCR.
The principle of TaqMan real-time PCR is based on the
cleavage of an internal probe by the 5'-3' exonuclease activity of the Taq polymerase during amplification. This probe contains
fluorescent reporter and quencher dyes at its 5' and 3' ends,
respectively. At the start of the reaction there is no fluorescence due
to the proximity of the quencher and reporter dyes. However, during
each cycle of the extension phase one molecule of reporter dye is
released for each target molecule amplified. A passive reference dye
provides an internal reference for normalization of the reporter
fluorescence (
Rn). The threshold cycle (Ct) value is the number of
cycles before the fluorescence emitted passes a fixed limit. The
log10 of the number of targets initially present is
proportional to Ct and can be measured using a standard curve.
uf, France)
software programs and checked by a BLAST search of GenBank (1). The forward primer, P1
(5'-TGGCATGGGTACCAGCACA-3'), and the reverse primer, P2
(5'-CTGGCTACTATTTCTTTTGCTA-3'), were chosen to amplify a
199-bp fragment in a region of low variability of the B subtype HIV-1
pol gene, determined from data bank sequences and previously used by
Yerly et al. (39). The internal HIV-1 TaqMan probe
(5'-TTTATCTACTTGTTCATTTCCTCCAATTCCTT-3') was designed following the general rules outlined by the manufacturer. The primers,
Alb-S (5'-GCTGTCATCTCTTGTGGGCTGT-3') and Alb-AS
(5'-AAACTCATGGGAGCTGCTGGTT-3'), and the Alb TaqMan probe
(5'-CCTGTCATGCCCACACAAATCTCTCC-3') were used to quantify the
human albumin gene (26). The TaqMan probes carried a 5'
reporter dye, 6-carboxy fluorescein (FAM), and a 3' quencher dye,
6-carboxy tetramethyl rhodamine, and were synthesized by Genset Oligos
(Paris, France).
The 50-µl PCR mixture for HIV-1 or albumin DNA amplification
consisted of 1/20 of the DNA extract; high-performance liquid chromatography-purified primers P1 and P2 or Alb-S and Alb-AS (200 nM
concentration of each); 100 nM HIV-1 or Alb TaqMan probe; dATP, dCTP,
and dGTP, each at a concentration of 200 nM; 400 nM dUTP; 5 mM
MgCl2; 0.5 U of uracil N-glycosylase; 1.25 U of
AmpliTaq Gold polymerase; and 1× PCR buffer (TaqMan PCR Core Reagent
Kit; PE Applied Biosystems).
For both HIV-1 and albumin DNA amplification, 1 cycle at 50°C for 2 min and 1 cycle at 95°C for 10 min were followed by a two-step PCR
procedure consisting of 15 s at 95°C and 1 min at 60°C for
HIV-1, or at 65°C for albumin, for 45 cycles. Amplification, data
acquisition, and analysis were performed using the ABI Prism 7700 Sequence Detector System (PE Applied Biosystems).
All standard dilutions, controls, and samples from patients were run in
duplicate, and the average value of the copy number was used to
quantify both HIV-1 and albumin DNA. Standard curves for HIV-1 and
albumin were accepted when the slopes were between
3.74 and
3.32
(corresponding to PCR efficiencies of between 85 and 100%) and the
coefficients of correlation (r2) were >0.990.
Albumin DNA was quantified in order to determine the input level of
cellular DNA in the sample and was used as an endogenous reference to
normalize variations due to differences in the PBMC count or DNA
extraction. The normalized value of the HIV-1 proviral load was
calculated as HIV-1 copy number/albumin copy number × 2 × 106 and expressed as the number of HIV-1 copies per
106 PBMC. The 8E5 cell line was used as a positive control
for each run, and acceptable results were considered to be 0.7 to 1.3 HIV-1 copies per cell.
The measurements of the HIV-1 proviral load in the biological samples
were validated if the coefficients of variation (CV) were <20% for
albumin with a minimum of 9,000 cells analyzed, <30% for >10 copies
of HIV-1, and <50% for <10 copies of HIV-1. If these criteria were
not met, the measurements were repeated until satisfactory. HIV-1
proviral loads ranging from 1 to 9 copies per 106 PBMC were
expressed as <10 copies per 106 PBMC. Exact values were
used for calculations.
Reverse transcriptase sequencing for subtyping. Blood specimens were collected in EDTA and free virus was obtained by ultracentrifugation. RNA was extracted with a High Pure RNA Isolation Kit (Boehringer, Mannheim, Germany) and reverse transcribed. Two RT gene fragments (RT1, codons 6 to 152; RT2, codons 157 to 252) were amplified by nested PCR as described elsewhere (25). PCR products were directly sequenced on both strands, using an ABI Prism 377 automatic sequencer and an ABI Prism Dye Primer Sequencing Kit (PE Applied Biosystems). The subtype of most viral isolates was determined by using the BLAST-based HIV-1 subtyping tool program on the NCBI website (http://www.ncbi.nlm.nih.gov:80/retroviruses/subtype/makepage.cgi?page=sub&type=0). Isolates yielding ambiguous results were reanalyzed against a background of reference sequences (24), with the Phylogenetic Analysis using Parsimony (PAUP*) software (version 4.0d64 [in progress]; D. Swofford). Assignment to a given subtype was based on neighbor-joining and maximum-parsimony inferences, confirmed by 100 bootstrap replicates each.
Sequencing of HIV-1 sequence amplified by TaqMan PCR. Two nested PCR techniques were used to sequence the region amplified by real-time PCR in DNA extracts from primary-infected patients at D0. To obtain the whole target sequence, a 323-bp fragment was obtained by PCR nested with the external primers A' (5'-CAGACTCACAATATGCA-3') and B' (5'-ACTTGTCCATGCATGGCTTC-3') and the internal primers C1 (5'-GCATTAGGAGCTTTCAAGC-3') and C2 (5'-GCTTCTCCTTTAAGCTTACA-3'). In addition a 199-bp fragment that did not contain the target sequence of the primers used in TaqMan PCR was obtained with the external C1 and C2 and internal P1 and P2 primers. PCR products were directly sequenced on both strands, using an ABI Prism 377 automatic sequencer and an ABI Prism Dye Terminator Sequencing kit (PE Applied Biosystems).
Statistical analysis. Correlations between virological and immunological factors were analyzed using the Wilcoxon (rank sum), Kruskall-Wallis (mean rank), or Spearman (rank correlation) nonparametric tests, as appropriate. The decrease in the proviral load between D0 and M12 was analyzed using the Wilcoxon matched-pairs signed-rank test.
Nucleotide sequence accession numbers.
All nucleotide
sequences shown in Fig. 1 are available
in the GenBank database, under accession numbers AF277299 to AF277314.
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RESULTS |
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Standard curve and dynamic range of the TaqMan PCR.
The main
objective was to obtain a standard curve that would be easy to prepare,
highly reproducible, and stable with time, to monitor the evolution of
the proviral load. We therefore chose to use serial dilutions of the
standard plasmid pcHIV-Alb that contained one copy of the HIV-1 subtype
B target sequence and one copy of the albumin target sequence.
Distilled water, with or without a constant amount of murine DNA, was
tested as a dilution medium, and no major differences were
observed (Table 1). Standard dilutions in
distilled water alone were therefore used for subsequent experiments.
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Sensitivity and intra- and interassay reproducibility. Using the same primer pair as above and a classical PCR method with detection by an ethidium bromide-stained agarose gel, it was possible to detect 10 copies of plasmid HIV-1 DNA (data not shown). With real-time PCR however, one copy could be inconsistently detected and five copies were always detected.
The intra-assay reproducibility was first evaluated using 8 replicates of the different points of the calibration curve used to quantify HIV-1. The coefficients of variation (CV) were 32% for the most dilute solution (10 copies) and
18% for 102 to 107 copies.
Intra- and interassay reproducibility was also analyzed using
independent extractions of 8E5 cells and a single blood sample taken
from a patient infected with HIV-1 subtype B (Table
2). These experiments were carried out to
take into account variations in sample pretreatment and also to
validate normalization of the results using data from the amplification
of the albumin gene. Large variations in the HIV-1 copy number were
observed in inter- and intra-assay reproducibility analyses. This
variability was reduced for proviral HIV-1 DNA after normalization of
the results. In addition, the normalized data showed that the 8E5 cells
contained an average of one copy of proviral HIV-1 DNA per cell, as
expected. Therefore, in each subsequent TaqMan assay an 8E5 control was introduced, with the limit for an acceptable result being taken as 0.7 to 1.3 copies of proviral HIV-1 DNA per cell.
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Specificity and HIV-1 subtypes amplified. The primers and the probe were chosen to quantify HIV-1 group M subtype B, the most frequent subtype found in the European population, representing 80 to 85% of the strains isolated in France. However, a BLAST search of GenBank indicated that the primers might also amplify subtypes A, C, and D. In addition, the sequence alignments available in the Los Alamos bank also indicated that the TaqMan assay might detect subtype A and especially subtype D but that a large number of mutations would theoretically prevent the amplification of group O. The capacity of our assay to detect the different HIV types was therefore tested, using one strain for each type (data not shown). The results showed that, as expected, subtypes A, C, and D could be amplified as well as E, F, G, and H. However, HIV group O and HIV-2 were not amplified. The specificity of the assay against human T-cell leukemia virus was also tested using an extract of the lymphoblastic T-cell line, MT2. The results were negative, with a Ct of >45 cycles (data not shown).
Cross-sectional study of proviral HIV-1 DNA.
The TaqMan method
was used to measure the HIV-1 proviral load of 21 patients who had been
seropositive for a median of 7 years (range, 5 months to 13 years). All
the patients had a detectable proviral load with an average of 773 ± 1,794 copies per 106 PBMC and a median of 215 (range,
<10 to 8,381) (Table 3). In parallel
measurements no correlation was found between the peripheral proviral
load and the plasma HIV-1 RNA or the CD4+ or
CD8+ cell levels (Spearman tests). The plasma HIV-1 RNA and
CD4+ levels were also found to be independent parameters in
this study (Spearman test). In addition, the proviral load was not
correlated with the CDC clinical stages (Kruskall-Wallis test) or with
the type of antiretroviral treatment (with or without antiprotease drugs [Wilcoxon test]).
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Evolution of proviral HIV-1 DNA after primary infection under
antiretroviral treatment.
The possibility of conducting a
longitudinal study of the HIV-1 proviral load during antiretroviral
therapy was also investigated. Sixteen patients infected with HIV-1
subtype B were included on average 15 days after the appearance of the
clinical signs of primary infection and were monitored for 1 year under
antiretroviral treatment from D0 (Table
4). Proviral HIV-1 DNA quantification was
performed on samples from all patients using an annealing temperature
of 60°C for the real-time PCR, as described in Materials and Methods.
Patient 9 had proviral loads that were either undetectable or
10
copies per 106 PBMC throughout the study period. The median
values for the proviral load for the remaining 15 patients were 466 copies per 106 PBMC (range, 42 to 9,182) at D0, 211 (range,
0 to 369) at M1 to M4, 97 (range, <10 to 175) at M6, and 38 (range, 0 to 358) at M12 to M15. The corresponding mean values ± standard
deviations were 1,122 ± 2,267, 188 ± 1,151, 89 ± 74, and 67 ± 102 copies per 106 PBMC, respectively.
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10 copies per
106 PBMC for patient 9, the evolution of this marker with
time could not be studied. To determine whether this was due to an
amplification problem, the TaqMan PCR target region at D0 was sequenced
for all 16 patients. Sequences were obtained either for the primers and
probe target regions or for the probe region alone. The results were
compared with the subtype B consensus sequence from the Los Alamos data
bank shown in Fig. 1. In patient 9, one mutation was found in the
target region of primer P1 and a second was found at the 5' extremity
of the probe. However, 12 other patients also had mutations in the
probe and/or primer P2 regions. To evaluate the influence of these
mutations on the quantification results, DNA extracts from the nine
patients who were monitored at D0, M1, M6, and M12 were subjected to an
annealing temperature of 65°C instead of the previously used 60°C
(Table 4). As expected for patient 9, the proviral load was
10 copies
per 106 PBMC at both temperatures. The results were similar
at both temperatures for extracts from patients 1 and 3, where no
mutations were found in either the probe or primer regions. In
contrast, the presence of at least one mutation in the probe or primer
P2 region led to an apparent decrease in proviral load when the
annealing temperature was more stringent. In particular, patients 2 and
6 had undetectable levels from D0 onwards when an annealing temperature
of 65°C was employed.
Proviral HIV-1 DNA of ganglion and rectal biopsy specimens. The proviral load of ganglion and rectal biopsy specimens was measured to investigate the possibility of using the TaqMan technology to explore anatomical reservoirs of the virus. The ganglion biopsy specimen was taken before the start of antiretroviral therapy from a patient who was immunodepressed (173 CD4+ per mm3) and infected by HIV-1 subtype G. The proviral load of this sample was 2,091 copies per 106 mononuclear cells, while the corresponding plasma HIV-1 RNA of the patient was 697,400 copies per ml.
The rectal biopsy specimen was taken from a patient infected by HIV-1 subtype B. The patient was mildly immunodepressed (642 CD4+ per mm3); was receiving effective treatment with D4T, 3TC, and IDV; and had HIV-1 RNA that was undetectable in plasma (<500 copies per ml). The rectal biopsy specimen proviral load was 1,632 copies per 106 cells, while the blood proviral load was 920 copies per 106 PBMC.| |
DISCUSSION |
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TaqMan real-time PCR allows simultaneous amplification and quantification, thereby eliminating the need for further manipulation of PCR products. This limits the risk of contamination, and a large number of samples can be processed rapidly. When applied to the quantification of proviral HIV-1 DNA, this technique has a wide dynamic range of 6 orders of magnitude, with a strong linear correlation between the threshold cycles and the log10 of the number of initial copies. This compares favorably with other methods described in the literature, often based on competitive PCR, whose range is generally limited to 3 to 4 log10 (5, 10, 18). In addition, the use of a double plasmid as standard showed that the amplification efficiency was comparable for HIV-1 and albumin, permitting the normalization of the proviral load for 106 cells. Normalizing the results minimizes the influence of variations in the steps preceding quantification that are essentially linked to the yield of the DNA extraction step. Better reproducibility was obtained after normalization in both intra- and interassays, in comparison with the quantification of HIV-1 alone, and normalized results confirmed that the 8E5 cell line contains an average of 1 copy of integrated HIV-1 per cell.
Intra- and interassay variability were, respectively, 46 and 56% for a patient with a proviral load of only 26 copies per 106 PBMC. It is difficult to compare these results to those obtained with other in-house techniques previously used to quantify proviral HIV-1 DNA, and to date no commercial technique is available. However, for low levels of HIV-1 RNA measured in plasma by commercial techniques, the assay CV has been shown to be as high as 35% (30, 35; F. Huysse, personal communication). Therefore the TaqMan technique could enable patients to be monitored over a course of treatment as sequential samples taken from a patient can be analyzed with confidence in separate TaqMan runs.
Although the technique was developed to quantify HIV-1 subtype B, the major subtype found in France, it also amplified strain subtypes A, C, D, E, F, G, and H. In addition, subtyping of 25 patients showed that 23 had subtype B, while 1 patient had subtype A and the remaining patient had subtype G. The capacity of the assay to amplify non-B subtypes will have to be confirmed with a larger number of samples, as well as the validity and reproducibility of the quantification. Indeed, the method is based on measuring a kinetic parameter, and mutations could lead to erroneous results. Thus, the proviral loads calculated for the various subtypes cannot be directly compared, but the follow-up of a non-B subtype patient could be feasible.
All the patients in the cross-sectional study had detectable proviral
HIV-1 DNA that ranged from <10 to 8,381 copies per 106
PBMC, in agreement with the results reported by Escaich et al. (13), although Izopet et al. found higher values
(23). Nevertheless, it is difficult to compare the results
of these studies, as the quantitative techniques used were very
different and the groups studied were not homogeneous. In our study, no
correlation was found between the proviral load and other
immunovirological markers. In the primary infection study, one of the
patients (patient 9) had a proviral load that was
10 copies per
106 PBMC throughout the study. Sequencing the TaqMan PCR
target region of the specimen from this patient showed a mutation in
the primer P1 target region and, more importantly, a second mutation
that would prevent hybridization of the 5' end of the TaqMan probe. It
seems likely that with the latter mutation there would be no cleavage
by the 5'-3' exonuclease activity of the Taq polymerase and
therefore no liberation of the fluorescent reporter, making quantification impossible. The absence of this mutation in the other
patients is in agreement with this hypothesis. On the other hand,
sequencing the target regions of the other patients indicated the
frequent existence of at least one mutation in the probe and/or the
primer target sequences. Increasing the temperature to 65°C showed
that the proviral load is underestimated if mutations are present,
probably due to incomplete hybridization. However, these mutations did
not prevent quantification at an annealing temperature of 60°C.
As in the cross-sectional study, no correlation was found in the primary infection group between proviral load and either plasma HIV-1 RNA or CD4+ CD8+ levels. In contrast, for 15 patients a decrease in the proviral load was observed between D0 and M12, in parallel with a decrease in the number of international units in culture (for 13 patients) and in HIV-1 RNA in plasma. Several groups have demonstrated a rapid fall in HIV-1 RNA in plasma due to HAART during the primary infection phase (40), as well as a decrease in cellular viremia (4). In the present work, the number of international units measured in culture was smaller than the proviral load. This is to be expected, as the proviral load measurement by real-time PCR includes both integrated and nonintegrated virus, whether or not it is replication competent.
The reservoir of circulating latent virus, constituted essentially by resting CD4+ lymphocytes, is low (6) and formed as early as 10 days after the first clinical signs of primary infection (7). Therefore, in our patients with primary infection, the proviral load measurements at D0 already include the latent reservoir. Nevertheless, this probably only represents a minor fraction of the total, compared to proviral HIV-1 DNA of activated circulating cells, with which there is intensive viral replication in the primary infection phase (9, 11). The significant decrease in the proviral load observed between D0 and M12 is, therefore, certainly not solely due to a reduction in the latent reservoir but is essentially linked to a progressive decrease in the number of activated, virus-replicating CD4+ cells. Ibanez et al. reported a significant decrease in proviral HIV-1 DNA 48 weeks after the initiation of HAART in 10 drug-naive patients (22). They also found that integrated proviral HIV-1 DNA in latent cells did not decrease in a parallel manner. Our method does not differentiate between nonintegrated and integrated proviral HIV-1 DNA. Thus, the data obtained at M12 reflect viral reservoirs of latent cells or cells with a low level of viral replication, as an ongoing, low level of replication could be found even when HIV-1 RNA was undetectable in plasma (14, 31).
At M12, quantitative cellular viremia gave negative results for all the patients tested, while for 13 of these patients proviral HIV-1 DNA could still be detected. The TaqMan technique is therefore more sensitive than quantitative cellular viremia for exploring the proviral load. The persistence of proviral HIV-1 DNA, as previously reported (27, 28), could indicate that there is a risk of a rapid rebound of viral replication if therapy is discontinued, as shown by several studies (16, 17, 21, 33).
In this study proviral HIV-1 DNA has been quantified in only two lymphoid tissue biopsy specimens. These preliminary results suggest that TaqMan PCR could also be used to measure the proviral load in the lymphoid compartment. However, further longitudinal studies including a large number of patients are needed to assess the usefulness and the clinical significance of this marker.
As TaqMan real-time PCR enables the rapid and easy processing of a large number of samples, the HIV-1 proviral load can be used as a routine tool for the longitudinal monitoring of patients. This marker is particularly interesting when HIV-1 RNA is no longer detectable in plasma, allowing the degree of residual replication and latent viral reservoirs under antiretroviral treatment to be assessed.
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ACKNOWLEDGMENTS |
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This work was supported by the UPRES EA 2391 (Unité Pour La Recherche et l'Enseignement Scientifique) and in part by grants from ARVIH (Association de Recherche sur le VIH) and Glaxo Wellcome.
We thank S. Yerly and L. Perrin for helpful discussion about the primer's design and P. Mariot for technical assistance.
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FOOTNOTES |
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* Corresponding author. Mailing address: Service de Microbiologie, Hôpital Rothschild, 33 Boulevard de Picpus, 75571 Paris Cedex 12, France. Phone: 33 (0) 1 40 19 34 33. Fax: 33 (0) 1 40 19 33 35. E-mail: ndesire{at}infobiogen.fr.
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