SUPPLEMENTARY DATA: METHODS
Study Patients and Disease Outcomes: In total, 64 patients were analyzed for dual HIV-1
infection. These included patients from the Multicenter AIDS Cohort Study (MACS) (N=32)1, the Seattle Primary Infection Cohort (N=10)2, and
the South African female sex worker cohort (N=22)3,4. Of
these 64 patients, 6 were found to be dually infected, whereas 58 only had evidence of infection from
a single source (i.e. singly infected). Thirty-four had AIDS disease progression outcome data. Five of
these 34 patients with outcome data were dually HIV-1 infected: including the previously described
patient B from the Seattle Primary Infection Cohort5, 3 patients
(146, 21, 31) from the MACS , and 1 patient (Du151) from the South African
female sex worker cohort3.
The MACS patients included both rapid (N=21) and typical (N=11) progressors. Rapid disease
progressors were defined as those that had an AIDS defining event7 within
5 years of seroconversion8 and typical progressors were defined as those
that had an AIDS defining event or were still asymptomatic 5 or more years after seroconversion9,10. Of the singly infected MACS patients, 7 received no
antiretroviral therapy; 16 received intermittent monotherapy, 14 received intermittent dual nucleoside
therapy, and 5 received highly active antiretroviral therapy (HAART) starting at 9.4, 11.7, 12.0,
12.8, and 14.9 years post seroconversion.
In the Seattle Primary Infection Cohort, 2 of the 10 patients were rapid progressors; 3 were
asymptomatic when starting HAART (all within 5 years of seroconversion) and 3 were lost to follow up
within 5 years of seroconversion; 1 was asymptomatic and started HAART at 7 years after
seroconversion, and in one case we could not confirm the date of seroconversion (this patient was
excluded from further analysis).
In the South African female sex worker cohort, patient Du151, was the only patient of a total of
22, to progress to AIDS prior to the cohort being disbanded at 2 years. An additional patient (Du179)
from the South African cohort was found to be dually infected but did not have an AIDS defining event
within the 2 years prior to the cohort being disbanded so could not be further evaluated (her CD4
count = 394/µl and viral load = 3.1 log copies/ml at 16.1 months post-seroconversion).
None of the dually infected patients received HAART prior to onset of AIDS; MACS patient 14 received
intermittent monotherapy. MACS patient 21 received mono- and dual NRTI therapy at 1.8 and 3.3 years
post seroconversion, respectively. Patient B received multiple antiretroviral agents after developing
AIDS. None of the South African patients received ART. Opportunistic infections were treated with
appropriate therapy.
Dates of seroconversion were estimated as the midpoint between the last HIV seronegative visit and
the first seropositive visit. HIV-1 plasma viral loads were measured using standard RT-PCR or bDNA
assays. As there is no consensus on whether a viral “set-point” occurs in patients with rapid disease
progression, or the best method of its determination, we report the average of the first year values.
In the MACS cohort as a whole, the ~1 year post-seroconversion plasma HIV viral load has been shown to
be the best predictor of subsequent disease progression11. In the 30
patients from the MACS cohort for whom viral load data was available, there was a positive correlation
between “~1 year plasma viral load” and subsequent rate of disease progression (R2=0.30,
p=0.0026), suggesting our group was representative of the cohort as a whole. Although there was a
trend toward higher viral loads in the 5 dually infected patients compared to the singly infected
patients, this was not statistically significant (mean log10 copies/ml = 5.0 and 4.5,
respectively, p=0.19, by Kruskal-Wallis test).
Statistical Analysis: Rates of disease progression were measured by time from
seroconversion to a clinical AIDS defining event7 (n=27) or death (n=5),
or persistent CD4+ T-cell count < 200/µl (n=27); a total of 34 patients reached at least one endpoint,
29 patients did not reach an AIDS endpoint and were censored at time of initiation of HAART or time
of lost to follow up (Figure 2a and 2b). For Kaplan-Meier survival analysis, we censored patients
using both a very conservative “intent to treat” analysis in which censored equaled AIDS (Figure 2a)
or CD4+ T-cell count < 200/µl (Figure 2b) and a less conservative censored equaled excluded (data not
show). Dual infection was significantly associated with rapid progression to both endpoints using
both “intent to treat” and “censored equaled excluded” analyses (Wilcoxon test for difference in time
to AIDS or CD4+ T-cell count < 200/µl between those with dual and those with single infection, p =
0.005 and p = 0.0025, respectively, for censored equals AIDS (“intent to treat”), Figure 2). There was
an increased relative risk (adjusted for censoring) for dual versus single infection for time to AIDS
(RR=2.9; 95% CI = 1.6-4.6; p=0.001) and time to CD4<200/µl (RR=3.6 ; 95% CI=1.9-6.4; p=0.002). In a
sub-analysis of only the MACS patients (N=32; dual=3, single=29), who represented the majority of
those patients who reached true endpoints, dual infection remained significantly associated with rapid
progression to both endpoints (Wilcoxon test p = 0.002 and p = 0.0006, respectively). Statistical
analysis was carried out using JMP software (SAS Institute, Cary, NC).
Patient Samples, Virus Isolation, HMA, PCR, Cloning and Sequencing: Patient samples were
obtained approximately every 6 months throughout the course of infection and were screened for dual
infection using a combination of heteroduplex mobility assay (HMA) and virus sequencing12,13. Samples with slow migrating heteroduplexes on HMA, which
are suggestive of dual infection, were confirmed to be dually infected by viral sequencing (see
below). HIV-1 plasma viral RNA and PBMC viral DNA was isolated as previously described5,13. Nested PCR of the HIV-1 C2-V3 region (South African FSW)
or C2-V5 (Seattle PIC and MACS) envelope (env) region was performed using end-point dilution to
avoid template resampling bias14 as previously described5,13. PCR products were cloned and sequenced using standard
methodology. Multiple HIV-1 env sequences were analyzed from each sample throughout the course
of infection for each patient.
Phylogenetic Analysis: All sequences were assessed for potential sample mix-up and
contamination as previously described15. HIV-1 sequences were aligned
with reference sequences from the Los Alamos National Laboratory HIV Database (http://hiv-web.lanl.gov/) with CLUSTALW16 followed by manual adjustment using MacClade (version 4)17. Pairwise evolutionary nucleotide distances (excluding gaps in the pairwise
alignment) were estimated using both distance based and maximum likelihood methods. Neighbor-joining
and maximum likelihood methods were used to estimate evolutionary models and phylogenetic trees (PAUP*
v4.0)18. The criteria used for definition of dual HIV-1 infection were as
follows: 1) HIV sequences from an individual patient were required to cluster into two distinct
monophyletic clades (excluding recombinants) without known epidemiologic linkage (i.e. no direct or
known transmission history from one patient to another); and 2) These clades were required to be no
closer to each other, in a phylogenetic tree, than multiple random unlinked sequences from the HIV-1
database; and 3) The mean pairwise nucleotide distance between the two distinct clades was required to
be within the range of pairwise nucleotide distances generated from randomly selected unlinked
sequences in the HIV-1 database. All HIV-1 sequences from the MACS and Seattle PIC were subtype B, all
HIV-1 sequences from the S. Africa FSW cohort were subtype C.
Determination of HIV-1 Superinfection: HIV-1 superinfection19-23 in MACS patient 21 was determined using a combination of HMA and viral
sequence analysis as described above. HIV-1 plasma viral RNA and viral DNA from peripheral blood
mononuclear cells (PBMC) from 0.27, 0.76, 1.3 and 3.3 years post seroconversion were analyzed (see
figure 1). HIV-1 C2-V5 env region HMA from the 0.27 and 0.76 year time points demonstrated a
viral variant with a unique length polymorphism that was distinct from that of viral variants from 1.3
and 3.3 years post-seroconversion suggesting superinfection. Phylogenetic analysis of 131 HIV-1 C2-V5
env region sequences from plasma and PBMC confirmed superinfection in that there was no
evidence of the superinfecting strain prior to 1.3 years post-seroconversion (see figure 1).
Furthermore, PCR, using primers specific for the superinfecting strain showed no evidence of it in
plasma or PBMC prior to 1.3 years post-SC at a limit of detection of 1 copy per µg of PBMC DNA. PCR
using primers specific for the initial strain showed no evidence of it in plasma after 0.8 years
post-SC, however in PBMC the initial infecting strain was detectable at low levels (11 copies per
106 PBMC) at 1.3 years post-SC. Sample mix-up was excluded by molecular HLA class II typing
of the pre- and post- superinfection samples24.
FIGURE LEGENDS:
Figure 1. Phylogenetic tree demonstrating dual HIV-1 infection in patients B, 14, 31, Du151
and 21. C2-V3 envelope (env) sequences (265bp) were used to construct a Neighbor-Joining tree
using the HKY85 model of evolution (implemented in PAUP* v4.0). Sequences from dually infected
patients are shown in symbols (Note: for clarity only a small subset of the total of 650 HIV sequences
obtained from these 5 patients are shown). Superinfection of patient 21 was detected at 1.3 years
post-seroconversion; filled stars represent sequences found pre-superinfection (pre-SI) (0.3 and 0.8
years post-seroconversion) and open stars represent sequences found post-superinfection (post-SI) (1.3
and 3.3 years post-seroconversion). Outgroup sequences from the Los Alamos HIV Database are shown as
black lines. Patients B, 14, 31, and 21 cluster with HIV-1 subtype B reference sequences, patient
Du151 clusters with HIV-1 subtype C reference sequences. Nucleotide distances are shown with scale
bar.
Figure 2- panel a. Kaplan-Meier curves comparing time from seroconversion to AIDS/death
(n=32) in the dually infected (N=6; 1 dually infected subject was lost to follow-up at 2 years) and
the singly infected patients (n=57). 63 of 64 total patients were included (in 1 patient we could not
confirm date of seroconversion). Patients who started HAART (n=8) or were lost to follow-up (n=23)
prior to reaching an endpoint (AIDS) were censored to those dates, where censor equals AIDS event.
(Note: The unusually steep drop in the single infection survival curves (in contrast to previously
published reports) is due to censoring of many of the patients at 2 years and that the MACS patients
studied were mostly rapid progressors). P-value shown for Wilcoxon test of dual versus singly
infected patients for time to AIDS/death.
Figure 2- panel b. Kaplan-Meier curves comparing time from seroconversion to persistent CD4+
T-cells count <200/µl (n=27) in the dually infected (N=6; 1 dually infected subject was lost to
follow-up at 2 years) and the singly infected patients (n=57). Sixty-three of 64 total patients were
included (in 1 patient we could not confirm date of seroconversion). Patients who started HAART (n=7)
or were lost to follow-up (n=29) prior to reaching an endpoint (CD4+ T-cells count <200/µl) were
censored to those dates, where censor equals CD4+ T-cells count <200/µl. [Note: The unusually steep
drop in the single infection survival curves (in contrast to previously published reports) is due to
censoring of many of the patients at 2 years and that the MACS patients studied were mostly rapid
progressors.] P-value shown for Wilcoxon test of dual versus singly infected patients for time to
CD4+ T-cells count <200/µl.
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