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Quantitation of Rare HIV-1 Integration Events in PBMC from HIV-1-infected Individuals Using Repetitive Sampling Techniques
J Yu1, W J Swiggard1, T Theodosopoulos2, and U O'Doherty*1
1Univ. of Pennsylvania, Philadelphia, USA and 2Drexel Univ., Philadelphia, PA, USA
Background: The frequency of
latent reservoirs and integrated viral DNA
within resting CD4+ T cells appear to be relatively constant in
patients in the presence and absence of effective HAART. The limiting dilution co-culture assay is considered the “gold
standard” to measure the frequency of reservoir cells, but it is technically cumbersome and time consuming and has
inherent high error rates. End-point PCR
assays that measure integrated HIV-1 DNA
have similar shortcomings. We set out to develop a more robust assay for HIV-1
integration that would allow us to reliably detect even small differences
between integration frequencies.
Methods: The amount of
integrated DNA present within
purified DNA samples from HIV-1
infected individuals (n = 8, all on
effective HAART) was assessed using a modified version of a kinetic DNA PCR
assay that we developed based on primers that bind to the repetitive genomic
element Alu and the HIV-1 gag region. To measure integration in
patient DNA, repetitive sampling
techniques were required as only a fraction of samples gave positive signals
due to the low frequency of integration. Each patient sample was assayed 40
times using primers to Alu and gag. To enumerate the number of
integration events, DNA from a
control integration standard cell line was also assayed repetitively after
diluting it in uninfected DNA to
mimic low frequency integration. This integration standard is polyclonal and
reproduces the diversity of integration that occurs with acute infection, but
does not contain unintegrated DNA.
Results: On average a
12-fold excess of unintegrated DNA
relative to integrated DNA was
present in the patient samples. A mathematical model was developed to estimate
the confidence intervals for the frequency of integration for our patient
samples using data from our integration standard assayed at low copy numbers. This
mathematical model enabled us to obtain sufficiently tight confidence intervals
to detect 2-fold differences. We found the integration frequency varied from
1.1-3.3 per 10,000 PBMC between patient samples. The 10% lower bound and 90%
upper bound integration frequency were 0.8 to 5.0. in 10,000 PBMC.
Conclusion: We have
developed a quantitative assay for HIV-1 integration based on kinetic PCR with repetitive sampling and a statistical
model which provides point estimates and tight confidence intervals. This assay
could be used to monitor therapies designed to reduce viral reservoirs.
Keywords: latency; integration; reservoirs
