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Journal of Virology, August 2004, p. 7883-7893, Vol. 78, No. 15
0022-538X/04/$08.00+0 DOI: 10.1128/JVI.78.15.7883-7893.2004
Copyright © 2004, American Society for Microbiology. All Rights Reserved.
Compartmentalization of Human Immunodeficiency Virus Type 1 between Blood Monocytes and CD4+ T Cells during Infection
Jennifer A. Fulcher,1,
Yon Hwangbo,1,
Rafael Zioni,1 David Nickle,2 Xudong Lin,1 Laura Heath,2 James I. Mullins,1,2 Lawrence Corey,1,2,3 and Tuofu Zhu1,2*
Departments of Laboratory Medicine,1
Microbiology, University of Washington School of Medicine, Seattle, Washington 98195,2
Program in Infectious Diseases, Fred Hutchinson Cancer Research Center, Seattle, Washington 981093
Received 4 September 2003/
Accepted 23 March 2004

ABSTRACT
Distinct sequences of human immunodeficiency virus type 1 (HIV-1)
have been found between different tissue compartments or subcompartments
within a given tissue. Whether such compartmentalization of
HIV-1 occurs between different cell populations is still unknown.
Here we address this issue by comparing HIV-1 sequences in the
second constant region through the fifth hypervariable region
(C2 to V5) of the surface envelope glycoprotein (Env) between
viruses in purified blood CD14
+ monocytes and CD4
+ T cells obtained
longitudinally from five infected patients over a time period
ranging from 117 to 3,409 days postseroconversion. Viral populations
in both cell types at early infection time points appeared relatively
homogeneous. However, later in infections, all five patients
showed heterogeneous populations in both CD14
+ monocytes and
CD4
+ T cells. Three of the five patients had CD14
+ monocyte
populations with significantly more genetic diversity than the
CD4
+ T-cell population, while the other two patients had more
genetic diversity in CD4
+ T cells. The cellular compartmentalization
of HIV-1 between CD14
+ monocytes and CD4
+ T cells was not seen
early during infections but was evident at the later time points
for all five patients, indicating an association of viral compartmentalization
with the time course of HIV-1 infection. The majority of HIV-1
V3 sequences indicated a macrophage-tropic phenotype, while
a V3 sequence-predicted T-cell tropic virus was found in the
CD4
+ T cells and CD14
+ monocytes of two patients. These findings
suggest that HIV-1 in CD14
+ monocytes could disseminate and
evolve independently from that in CD4
+ T cells over the course
of HIV-1 infection, which may have implications on the development
of new therapeutic strategies.

INTRODUCTION
Human immunodeficiency virus type 1 (HIV-1) gene sequences develop
a large degree of variation between and within infected individuals
(
4,
13,
14,
19,
20,
34,
43,
45,
48,
54,
55,
83,
85,
97,
103-
105,
112). In the initial period after infection, most individuals
evaluated to date have shown homogeneous sequence populations
of the HIV-1 surface envelope glycoprotein gene (
env) (
54,
64,
106,
109,
112) and a low level of variation in other structural
genes, including
gag p17 (
109,
112) and
gp41/
nef (
112). However,
some individuals, especially women, have relatively diverse
HIV-1 populations at or before seroconversion (
49,
63,
68,
69,
112,
114). After this initial period, divergent HIV-1 variants
with different but related genetic sequences emerge and turn
over throughout the course of infection (
4,
13,
14,
19,
20,
34,
39,
43,
45,
48,
54-
56,
58,
83,
85,
97,
103-
105,
112). Consequently,
chronically infected patients typically have heterogeneous HIV-1
populations, resulting in distinct but related viral quasispecies.
Virus replication is associated with the generation of sequence
variation (
16,
64), particularly in the hypervariable regions
of the
env gene (
46). The amount of subsequent viral genetic
diversity seen in a given individual coincides, at least in
part, with selective pressures for structural change imposed
by the immune system (
7,
15,
48,
50,
96,
105), antiretroviral
drug pressure (
44,
57), or preferential tropism for and replication
in target cells (
6,
10,
30,
80,
89).
Analyses of HIV-1 env sequences from donor-recipient pairs (sexually transmitted virus) have revealed genetic distinctions among viral populations in peripheral blood mononuclear cells (PBMC), plasma, seminal cells, and seminal fluid (114). Other studies have shown differential representations of groups of viral sequences from blood, semen (18, 114), and genital secretions from women (68, 114). Likewise, drug resistance mutations in HIV-1 populations are unequally distributed in the blood and semen (42). Furthermore, marked differences exist among HIV-1 sequences from different tissue compartments, such as the blood, brain, spleen, lymph nodes, and other tissues (5, 22, 31, 35, 37, 40, 52, 82, 107, 108), as well as from subcompartments of a given tissue, such as the white pulp and red pulp of the spleen (30) or the frontal lobe, basal ganglia, medial temporal lobe, and nonmedial temporal lobe of the brain (81). Until now, the possibility of compartmentalization among different cell types has not been demonstrated.
It has been well documented that macrophage-tropic (M-tropic) HIV-1 variants dominate in the establishment and early stages of HIV-1 infection (72, 93, 109, 112). Given that macrophages originate from blood monocytes, it is important to determine the pathogenic significance of HIV-1 in monocytes in the establishment and persistence of HIV-1 infection. We have therefore characterized and compared HIV-1 sequences corresponding to the second constant region through the fifth hypervariable region (C2 to V5) of envelope gp120 between the cell compartments of CD14+ monocytes and CD4+ T cells in the peripheral blood obtained longitudinally from patients after seroconversion. Our results indicate that both cellular compartmentalization and nonparallel evolution of HIV-1 between blood monocytes and CD4+ T cells occur over the course of infection.
(This work was presented in part at the 9th Conference on Retroviruses and Opportunistic Infections, Seattle, Wash., 24 to 28 February 2002.)

MATERIALS AND METHODS
Study patients.
Three heterosexual women (patients 1 to 3) and two homosexual
men (patients 4 and 5) were recruited from the University of
Washington Primary Infection Clinic (
75,
76). The enrollment
criteria, detailed demographic characteristics, and definitions
of the onset of infection and of seroconversion of this primary
infection cohort were reported previously (
75,
76). Patients
were randomly selected based on sample availability. Longitudinal
samples obtained for the present study from the five patients
were collected over a time period ranging from 117 to 3,409
days postseroconversion (Table
1). Two of the five patients
were naïve to therapy. Both patient 2 and patient 4 were
on zidovudine (600 mg/day) and lamivudine (300 mg/day) beginning
420 days (patient 2) and 3 years (patient 4) after HIV-1 infection.
Patient 2 initiated highly active antiretroviral therapy (HAART)
containing lamivudine (300 mg/day), stavudine (80 mg/day), and
nelfinavir (2,500 mg/day) at day 1,026 postseroconversion. Patient
4 switched to HAART containing stavudine (80 mg/day), didanosine
(400 mg/day), and amprenivir (2,400 mg/day) after 3 years for
474 days before changing from stavudine to zidovudine (600 mg/day).
Patient 5 initiated HAART at year 8 postseroconversion.
Isolation of CD14+ monocytes and CD4+ T cells.
CD14
+ monocytes and CD4
+ T cells were purified from PBMC samples
by a two-step column purification method (Miltenyi Biotec, Auburn,
Calif.). Specifically, CD14
+ monocytes were first purified by
use of a negative selection kit containing a cocktail of antibodies
against CD3, CD7, CD19, CD45RA and CD56 and an anti-immunoglobulin
E (IgE) antibody to remove T cells, B cells, NK cells, granulocytes,
dendritic cells, and basophils. This monocyte-enriched population
was further purified by positive selection with CD14 MicroBeads.
CD4
+ T cells were purified by positive selection with CD3 MicroBeads
followed by another positive selection with CD4 MicroBeads.
The purity of isolated cells was then analyzed by flow cytometry
with a FACSCaliber instrument (Becton Dickinson, San Jose, Calif.),
and the data were analyzed with Cell Quest software (Becton
Dickinson).
Isolation and quantification of HIV-1 DNA.
Genomic DNAs were isolated from purified cells by use of a QIAmp DNA mini kit (Qiagen, Valencia, Calif.) according to the manufacturer's protocol. Patient DNAs diluted in fivefold series in triplicate were used for nested PCRs to amplify HIV-1 sequences. After limiting dilution PCRs to amplify the HIV-1 C2 to V5 region (see below), HIV-1 DNA copies were quantified with the computer program QUALITY (71, 111, 113). DNA copy numbers calculated from HIV-1 gp120 limiting dilution PCRs (see below) were multiplied by 4.89 to compensate for the difference in sensitivities of the assays (111-114).
PCRs, sequencing, and sequence analyses.
Cellular DNAs and cDNAs, which were reverse transcribed from plasma viral RNAs as described previously (113, 114), were used in nested PCRs with outer primers PE0 and PE3 (residues 8029 to 8000 of the HIV-1 HXB2 sequence in GenBank; 5'-GGTGCAAATGAGTTTTCCAGAGCAACCCCA-3') and inner primers PE1 and PE2 (113, 114) to amplify HIV-1 env gp120 and with outer primers P5-2 (112) and PE3 and inner primers P5 (112) and PE2 to amplify the C2 to V5 region of gp120. The PCR conditions used were described previously (111-114). To avoid template resampling (47), we performed limiting dilution PCRs (see above) and additional end-point PCRs in which <25% of the PCR amplifications of patient DNAs diluted to the end point were HIV-1 positive, as described previously (84, 111), and employed a combination of sequencing procedures, as follows. (i) For samples with low levels of HIV-1 DNA (<250 copies/1 million cells), individual end-point PCR products were sequenced directly or cloned; only one sequence per PCR product was used for analysis. (ii) For samples that possibly contained homogeneous sequences, such as cells from an early stage of infection, end-point PCR products were sequenced directly or one clone-derived sequence was used per PCR product amplified from 25 or fewer HIV-1 copies. (iii) For samples with high numbers of viral copies, one sequence was used per PCR product from 25 or fewer amplifiable copies and five individual clone sequences were used per PCR product from 125 or more amplifiable copies from limiting dilution PCRs. Additional end-point PCR amplifications were then performed and sequenced directly to obtain more individual sequences. Sequences from each of the samples from the five patients were aligned with Clustal W (90) and edited with MacClade software (51) for misaligned insertions-deletions by examining the amino acid alignment. Phylogenetic trees were built with PAUP*4.0b10 software (Sinauer Associates, Inc., Sunderland, Mass.). Maximum-likelihood trees were constructed by using the HKY85 model of nucleotide substitution, with the transition/transversion ratio and alpha shape parameter for a gamma distribution estimated on a neighbor-joining tree. The resulting model was used in a heuristic search using SPR branch swapping to find the best maximum-likelihood tree. Branch-length distances calculated by PAUP* were used to calculate diversity by using the HKY85+G+I model of evolution in PAUP*. The total pairwise distances of monocytes were compared to the total pairwise distances of CD4+ T cells for each given time point. P values were obtained by using the unpaired t test with Welch's correction (GraphPad Software, Inc., San Diego, Calif.). Compartmentalization was evaluated by Slatkin and Maddison's method for measuring the restriction of gene flow among populations (86), which was slightly modified for HIV-1 populations (60, 61, 66).
Nucleotide sequence accession numbers.
The nucleotide sequences reported in this paper have been submitted to GenBank and were given accession numbers AY614758 to AY615119.

RESULTS
We combined negative selection for monocytes with CD14 positive
selection to purify monocytes, which greatly increased the purity
of the isolated cell population compared to either method used
singly (data not shown). Similarly, for CD4
+ T-cell isolation,
a combination of CD3 positive selection followed by CD4 positive
selection resulted in much more pure results than the use of
a single CD4
+ T-cell negative selection kit (data not shown).
As shown in Fig.
1, both cell purification strategies generated
extremely pure cell populations, with no detectable cross-contamination,
when analyzed by fluorescence-activated cell sorting and by
reverse transcription-PCR (
88) of T-cell receptor mRNA (data
no shown). DNAs extracted from purified CD14
+ monocytes and
CD4
+ T cells were used in limiting dilution PCRs to amplify
HIV-1
env gp120 or the C2 to V5 region as described previously
(
111-
114). Numbers of HIV-1 provirus DNA copies were, on average,
4.5-fold (ranging from 0.84- to 23.51-fold) higher in CD4
+ T
cells than in monocytes (Table
2). A 700-bp C2-to-V5 region
of gp120 was sequenced. As described above (see Materials and
Methods), we employed a combination of limiting dilution and
end-point PCRs and a sequencing procedure in order to exclude
the resampling of provirus that may occur during the PCR-cloning-sequencing
process (
47). Analyses of sequences were conducted by using
several phylogenetic approaches. Sequences from all five patients
grouped with HIV-1 subtype B reference sequences from the database
(data not shown). Moreover, sequences from each patient clustered
together (supported by 100% of the bootstrap samples). Figure
2 depicts the phylogenetic trees generated for each of the five
patients. The horizontal branches reflect the relative genetic
distances between sequences. Samples from early infections (117
to 167 days postseroconversion) were obtained from three of
the five patients studied (Table
1); early samples of the other
two patients were not sufficient for the present study, which
typically required 100 million or more PBMC for cell purification.
As expected for early infections (
106,
109,
112), sequences
obtained shortly after seroconversion (samples I for patients
1, 2, and 5 in Fig.
2) were relatively homogeneous in both monocyte
and CD4
+ T-cell populations, as reflected by the tight clustering
and short horizontal branches among the sequences on the phylogenetic
tree for each of the patients. This homogeneity is unlikely
due to the resampling of a few proviruses, as described above.
The diversity of HIV-1 nucleotide sequences obtained during
early infections (sample I) was very low for patients 1 and
5 in both the monocyte and CD4
+ T-cell populations (Table
2)
and was higher for patient 2 (Table
2) due to sequence variation
in the fourth hypervariable region of gp120 (data not shown).
The average levels of diversity of HIV-1 nucleotide sequences
around the time of seroconversion of sample I from the three
patients was similar in blood monocytes and CD4
+ T cells (0.546%
± 0.081% and 0.579% ± 0.0807%, respectively).
We then used the same procedures to examine HIV-1 C2-to-V5 sequences
in blood monocytes and CD4
+ T cells isolated at later time points
from each of the five patients, up to 3,409 days postseroconversion
(Table
1). As shown in Table
2, HIV-1 genetic diversity increased
in all five study patients over the course of HIV-1 infection.
The diversity of HIV-1 nucleotide sequences was found to be
significantly different between monocyte and CD4
+ T-cell populations
at the last time point for four study patients (patients 2 to
5) and in sample II from patient 1 (Table
2). CD14
+ monocytes
had more viral diversity than CD4
+ T cells in sample II (990
days postseroconversion) from patient 1 (
P = 0.0023), sample
IV (2,535 days postseroconversion) from patient 3 (
P < 0.001),
and sample II (2,823 days postseroconversion) from patient 4
(
P = 0.012). However, patients 2 and 5 showed significantly
more diversity in CD4
+ T cells than in CD14
+ monocytes at the
later time points (sample II from patient 2 and sample IV from
patient 5).
To assess the evolutionary relationship of HIV-1 strains in the two cellular compartments, we constructed phylogenetic trees for each patient (Fig. 2). Again, an increased heterogeneity of HIV-1 populations was evident in both the blood monocyte and CD4+ T-cell compartments of all five patients at the later time points, as indicated by the longer branches of the sequences on the phylogenetic trees (Fig. 2). The viral sequences from monocytes tended to form cell-specific subclusters within the radiation of viral sequences from CD4+ T cells. This cell-specific grouping was most obvious for patients 2 and 4 (Fig. 2B and 2D). For the other patients, there seemed to be evidence for a similar cell-specific grouping, though this pattern was less obvious. We then evaluated the HIV-1 compartmentalization between monocytes and CD4+ T cells by using Slatkin and Maddison's method for measuring the restriction of gene flow among populations (60, 61, 66, 86). Starting with a maximum-likelihood tree, we assigned each compartment an unordered character (for example, all sequences from monocytes were called "1" and all sequences from CD4+ T cells were called "2"), and then we traced these characters to determine the minimum number of steps, or interlocality migration events, allowed by the tree (we assumed "hard" polytomies). We then generated 1,000 random trees and compared the distribution of steps created to those for our original tree. If there were a compartmentalization, the number of steps from our original tree would fall well outside the random distribution (MacClade generates a P value to assess this). As seen in Table 3, compartmentalization of HIV-1 was not found during early infection for all five patients, including patient 2, who had relatively diverse virus populations in sample I. However, significant compartmentalization was gradually evident over the course of HIV-1 infection in all five patients. For example, for patient 1 there was no difference at days 127 and 912 postseroconversion, but a marginally significant difference was present between virus populations of monocytes and CD4+ T cells at day 1,046 postseroconversion (Table 1). Similarly, for patient 2, compartmentalization of HIV-1 between monocytes and CD4+ T cells was significant at day 1,490, but not at day 117, postseroconversion. For patient 3, viral compartmentalization was not seen at days 925 and 1,285, but was only found at day 2,535 postseroconversion. For patient 4, only two late time points were studied, and significantly different virus populations between the cell types were found. For patient 5, viral compartmentalization was not seen at days 107 and 999, but was evident at day 3,409. Analyses of all sequences from each patient found that all five patients had evidence of compartmentalization between CD14+ monocytes and CD4+ T lymphocytes (P < 0.001). We also performed a correction analysis for multiple significance determinations. This was done by taking our target alpha value (the P value that we considered to be significant) and dividing it by the number of patients (n = 5) studied (0.05/5 = 0.01). Thus, to find significant compartmentalization at a level of 0.05, the P value generated from each test would have to be 0.01 or less. Alternatively, we used the number of tests performed for each individual and the combined number of time points (n = 18) in the denominator rather than 5. In this case, our target P value would have to be 0.003 or less. Except for one result from patient 1 at the 1,046/999-day time point (P = 0.045), the significance of compartmentalization at other individual and combined late time points remained the same (Table 3). The observed compartmentalization of HIV-1 during late-stage infections was not likely due to the persistence of "old" sequences dating back to early infection, at least for patient 5, because none of the HIV-1 sequences from sample IV was identical or close to the old sequences from sample I (Fig. 2E). These results, together with our findings of nonparallel diversity and evolution of HIV-1 between the two cell compartments, suggest that compartmentalization of HIV-1 developed and increased during the course of infection.
HIV-1 strains isolated from newly infected individuals are largely
M-tropic and non-syncytium-inducing (NSI) (
72,
93,
112), although
those from some of the corresponding chronically infected donors
are both syncytium-inducing (SI) and NSI (
112). The NSI and
SI phenotypes of HIV-1 are predicted by a variant at positions
11 and 25 of the amino acids in the third hypervariable region
(V3) (
12,
25,
72). Amino acids with a positive charge (R and
K) at one or two of these positions predict the SI and T-cell-tropic
(T-tropic) phenotype. Most sequences from all five patients
showed V3 sequences corresponding to an M-tropic, NSI phenotype
(Fig.
3). However, a V3-predicted T-tropic SI virus was detected
as a minor variant in two of the five subjects (Fig.
3). For
patient 3, a V3-predicted T-tropic virus was identified in CD4
+ T cells in samples I (925 days postseroconversion; clone I-T2
in Fig.
3) and III (1,285 days postseroconversion; clone III-T16).
Additionally, three predicted T-tropic clones were identified
in monocytes at day 2,535 after seroconversion (sample IV; clone
IV-M21-like). Similarly, T-tropic clones were detected in both
CD4
+ T cells and monocytes at day 999 (sample II; clones II-T1-like
and II-M9-like) and day 3,409 (sample IV; clones IV-M1-like
and IV-T17) for patient 5. The existence of possible SI and
T-tropic HIV-1 strains in CD14
+ monocytes needs to be verified
with further in vitro studies, but it could provide evidence
for the ability of CD14
+ monocytes to support the infection
and replication of HIV-1 strains with various phenotypes.

DISCUSSION
Previous studies comparing HIV-1 genotypes were conducted at
the level of anatomic compartments, such as the peripheral blood,
brain, spleen, lymphoid tissue, or other tissues (
5,
18,
22,
31,
35,
37,
40,
52,
68,
82,
107,
108,
114). We demonstrated
here for the first time that compartmentalization of HIV-1 occurred
at the cellular level within blood cells in all five study patients.
Viral compartmentalization was not seen during early infections,
when viral populations were relatively homogeneous, but was
found at later time points, when heterogeneous virus populations
emerged. Coincidently, there was evidence for the nonparallel
evolution of HIV-1
env sequences between blood monocytes and
CD4
+ T cells over the course of HIV-1 infection. While M-tropic
NSI viruses dominated in both CD4
+ T cells and monocytes for
all five study subjects, V3 loop-predicted T-tropic SI viruses
were seen in both monocytes and T cells at later time points
for two patients (time points III and IV for patient 3 and time
point II for patient 5).
The mechanism of cellular compartmentalization remains to be defined. Several possible explanations could account for the nonuniform distribution of HIV-1. The initial mechanism driving compartmentalization could occur upon viral entry into the target cell. Selective tropism via coreceptor specificity could enhance the infectivity of certain HIV-1 variants to specific target cells such as monocytes or CD4+ T cells. The V3 loop of the HIV-1 envelope gp120 protein interacts with cellular receptors, making it an important domain for cellular tropism (12, 25, 33, 59, 70, 72). All sequences from our five patients showed dominant V3 sequences corresponding to the M-tropic, NSI phenotype, with the exception of minor variants predicting a T-tropic, SI phenotype (Fig. 3). The emergence of possible T-cell-tropic HIV-1 variants in blood monocytes could indicate the ability of blood monocytes to support infection by HIV-1 strains with various phenotypes, perhaps enhancing compartmentalization. However, the finding of an HIV-1 provirus with predicted T-cell tropism does not necessarily indicate that a T-tropic virus would replicate in monocytes/macrophages, since a previous study showed that the replication of T-tropic virus in macrophages was blocked after entry (77). Alternatively, precursors such as CD34+ progenitor cells in the bone marrow could serve as target cells and be infected by HIV-1 variants with different phenotypes (17, 24, 38, 53, 73, 74, 95, 99) and carry the virus through differentiation into blood monocytes (reviewed in reference 110). Peripheral blood-derived CD34+ CD4+ cells express both CCR5 and CXCR4 coreceptors and are susceptible to active HIV-1 infection by multiple viral isolates (73). It is plausible that peripheral blood monocytes could become infected at this early stage and carry the virus through differentiation into tissue macrophages.
Another possible mechanism may occur in the cell, as HIV-1 variants may replicate or evolve preferentially in either monocytes/macrophages or CD4+ T cells. The genetic diversity of HIV-1 is believed to be due to the high level of rapid and mutation-prone replication that occurs during active HIV-1 infection. Our finding that HIV-1 diversity patterns were not parallel between the CD14+ monocytes and CD4+ T cells implies some degree of independent replication and/or evolution, which may contribute to cellular compartmentalization. Local amplification in blood monocytes (113) or CD4+ T cells might also account for the nonrandom distributions of HIV-1 populations. Alternatively, provirus-bearing monocytes may carry the virus and differentiate into various tissue macrophages, in which a larger amount of virus may be produced (reviewed in reference 110). Our finding of the independent replication and evolution of HIV-1 strains in CD14+ monocytes compared to CD4+ T cells suggests that these cells play a role in harboring different viruses and trafficking them into various tissue compartments where HIV-1 may replicate extensively. Macrophages in nonlymphoid tissues, including the brain (the resident parenchyma imbroglio and the perivascular macrophages), the lung (alveolar macrophages), the liver (Kupffer's cells), and the gut, are infected productively and serve as a source of virus, especially in patients with end-stage disease (8, 9, 21, 26, 27, 32, 62, 65, 78, 79, 87, 94, 100). In simian-human immunodeficiency virus-infected rhesus macaques, macrophages in lymph nodes, the spleen, the gastrointestinal tract, the liver, and the kidneys all supported virus production in the absence of CD4+ T cells (36). As an upstream precursor, the blood monocyte compartment could actually seed virus in these macrophages and thereby establish the reservoir. Similarly, blood monocytes are likely the precursors to brain macrophages (91, 92) and serve as a carrier of HIV-1 to the central nervous system (23, 101, 102). Brain-derived isolates show enhanced macrophage replication competence relative to those simultaneously derived from blood (11, 28, 29, 41), possibly reflecting a phenotypic requirement for passage into the brain within infected macrophages. The compartmentalization of HIV-1 observed between the brain, where the principle target cells are of a monocyte/macrophage lineage, and lymphoid tissue, where lymphocytes are the predominant cell type infected (28, 98), could be an extension of the compartmentalization observed between CD14+ monocytes and CD4+ T cells after trafficking of the virus from these two cell types. The relative similarity and relatedness of HIV-1 sequences among brain and other nonlymphoid tissues (28, 98), in which macrophages are the major target of infection, might be due to the fact that the infected macrophages were from related blood monocytes.
In summary, our studies examining HIV-1 sequence variation over the course of infection in five patients indicate that there is cellular compartmentalization of HIV-1 strains between CD14+ monocytes and CD4+ T cells. Furthermore, HIV-1 in blood monocytes could disseminate and evolve independently from CD4+ T cells over the course of an HIV-1 infection. Such compartmentalization and independent evolution of HIV-1 in CD14+ monocytes and CD4+ T cells present challenges to the treatment of HIV-1 infection because HIV-1 populations in monocytes and macrophages are poorly suppressed (1, 3, 67; for a review, see reference 2) compared to those in CD4+ T cells and are replicate relatively actively (113) in patients undergoing seemingly effective HAART. The occurrence of cellular compartmentalization in patients 2 and 4 while they were on HAART indicates that a drug regimen does not prevent this phenomenon and suggests that the role of cellular compartments should be considered in attempts to develop new therapeutic strategies.

ACKNOWLEDGMENTS
We thank H. Zhu, H. Zhao, F. Feng, and T. Andrus for technical
and editorial assistance as well as E. Peterson and J. Maenza
for coordinating clinical samples and data for this study. We
thank all of the individuals for their participation.
This work was supported by the National Institutes of Health grants AI45402, AI055336, and AI49109 (to T.Z.) and grant AI41535 (to L.C.).

FOOTNOTES
* Corresponding author. Mailing address: Department of Laboratory Medicine, University of Washington School of Medicine, Box 358070, 1959 NE Pacific St., Seattle, WA 98195-8070. Phone: (206) 732-6079. Fax: (206) 732-6109. E-mail:
tzhu{at}u.washington.edu.

J.A.F. and Y.H. contributed equally to this study. 

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Journal of Virology, August 2004, p. 7883-7893, Vol. 78, No. 15
0022-538X/04/$08.00+0 DOI: 10.1128/JVI.78.15.7883-7893.2004
Copyright © 2004, American Society for Microbiology. All Rights Reserved.
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