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Journal of Virology, September 1998, p. 7664-7668, Vol. 72, No. 9
0022-538X/98/$04.00+0
Copyright © 1998, American Society for Microbiology. All rights reserved.
Human T-Lymphotropic Virus Type 2 (HTLV-2) Provirus in
Circulating Cells of the Monocyte/Macrophage Lineage in Patients Dually
Infected with Human Immunodeficiency Virus Type 1 and HTLV-2 and
Having Predominantly Sensory Polyneuropathy
Gianguglielmo
Zehender,1,*
Luca
Meroni,1
Stefania
Varchetta,1
Chiara
De
Maddalena,1
Barbara
Cavalli,1
Monica
Gianotto,1
Anna
Bianchi
Bosisio,1
Chiara
Colasante,1
Giuliano
Rizzardini,2
Mauro
Moroni,1 and
Massimo
Galli1
Istituto di Malattie Infettive e Tropicali,
Università degli Studi di Milano,1 and
I Divisione di Malattie Infettive, Ospedale "L.
Sacco,"2 Milan, Italy
Received 5 January 1998/Accepted 22 May 1998
 |
ABSTRACT |
We investigated the presence of human T-lymphotropic virus type 2 (HTLV-2) DNA in the peripheral blood mononuclear cell subsets obtained
from 18 patients coinfected with human immunodeficiency virus type 1 and HTLV-2, 6 of whom also had predominantly sensory polyneuropathy
(PSP). HTLV-2 DNA and RNA were found in CD8- and CD19-positive cells,
and, for patients with PSP, in CD14-positive cells as well.
Furthermore, the patients with PSP had higher proviral loads than those
without PSP.
 |
TEXT |
Previous studies have shown that
human T-lymphotropic virus type 2 (HTLV-2) preferentially infects T
lymphocytes expressing CD8+ molecules on their
surfaces (12). Nevertheless, a recent paper reports the
finding of HTLV-2 DNA in the B cells of patients with high proviral
loads (4), thus suggesting the possibility that, under some
conditions, it can infect cell targets other than T lymphocytes. HTLV-1
and human immunodeficiency virus type 1 (HIV-1) have been shown to
interact in vitro by inducing a chimeric formation and a change in
their cell tropism (18). Assuming that HTLV-2 behaves in a
similar manner, it is possible to hypothesize that patients with HIV-1
and HTLV-2 coinfection might show a modification in the spectrum of
cell targets regardless of viral burden. Furthermore, HIV-1 coinfection
and the consequent impairment of host immune competence might allow
HTLV-2 to act as an opportunistic causative agent of some disorders.
The pathogenetic role of HTLV-2 has not yet been elucidated,
but the virus has been associated with such neurological diseases as tropical spastic paraparesis/HTLV-associated myelopathy
(TSP/HAM) like syndrome (2, 3, 20). Moreover,
HTLV-2 has also been found to be associated with peripheral
neuropathies in intravenous drug users (9), and we
recently reported a high prevalence of the infection in the
predominantly sensory polyneuropathy (PSP) that frequently affects
HIV-1-positive patients (26). This association might be the
consequence of the opportunistic behavior of HTLV-2.
To investigate the presence of broader cell tropism in PSP, we studied
the quantitative distribution of HTLV-2 DNA in peripheral blood
mononuclear cell (PBMC) subpopulations obtained by means of cell
sorting from patients dually infected with HIV-1 and HTLV-2.
Patients.
Eighteen patients coinfected with HIV-1 and HTLV-2
(14 males, 4 females; median age, 34.5 years; range, 23 to 45 years)
were included in the study; 16 were drug addicts and 2 were homosexual men. All the patients had symptomatic HIV-1 infections, and eight had
overt AIDS according to the 1987 Centers for Disease Control (CDC)
classification (5). The mean CD4+ cell count at
enrollment was 207 cells/µl (standard deviation [SD], ±131.9). Six
of the patients were also affected by peripheral polyneuropathy
diagnosed as PSP according to the clinical, physiological, and
laboratory criteria of the American Academy of Neurology AIDS Task
Force (23, 26).
Serology.
Antibodies to HTLV-2 were determined by means of a
commercial enzyme-linked immunosorbent assay (ELISA) (Murex Diagnostic, Dartford, England) and Western blot analysis (Genelabs Diagnostics, Singapore) according to the criteria of the World Health
Organization (24). Antibody titers were expressed as
the reciprocal of the highest dilution reactive to ELISA.
Cell sorting.
The PBMC subpopulations were obtained by means
of cell sorting using an EPICS Elite flow cytometer (Coulter
Electronics, Hialeah, Fla.). One hundred microliters of whole blood
collected in EDTA Vacutainer tubes were double stained with
different monoclonal antibodies conjugated with fluorescein
isothiocyanate (FITC) or phycoerythrin (PE). In order to separate
T cells (CD3+CD4+,
CD3+CD8+), B cells (CD19+), and
monocytes (CD14+), the following pairs of antibodies were
used: CD3-FITC/CD19-PE, CD14-FITC/CD19-PE, and CD4-FITC/CD8-PE.
The blood samples were incubated at 4°C for 30 min, then lysed and
fixed by a commercial method (Immunoprep kit reagent and Q-Prep
work station; Coulter Inc.). They were subsequently analyzed
by means of flow cytometry, and the cells were sorted on the basis of
the different fluorescence emissions. The purity of the sorted cells
was tested by flow cytometry.
HTLV-2 nucleic acid detection.
HTLV-2 DNA and RNA were
detected in the PBMCs and cell subsets of the patients by means of a
nested-PCR technique for the amplification of
tax-related sequences. Briefly, for HTLV-2 DNA detection, all the sorted cells and 2 × 106 PBMCs
obtained by means of Ficoll centrifugation from 10-ml samples of
EDTA-treated blood were resuspended at 103 to
104 cells/µl (depending on the starting number of cells)
in a lysis buffer containing 50 mM KCl, 10 mM Tris (pH 8.3), 2.5 mM
MgCl2, 0.5% Tween 20, and 200 µg of proteinase K/ml.
After overnight digestion at 42°C and the inactivation of proteinase
K at 95°C for 10 min, 10 µl of the lysate was amplified by using
two pairs of primers recognizing a sequence included in the
tax gene of the HTLV-2 provirus (sense outer primer,
positions [pos.] 7219 to 7238; antisense outer primer, pos. 7483 to
7464; sense inner primer, pos. 7248 to 7267; antisense inner primer,
pos. 7406 to 7386), as described elsewhere (25).
In order to verify the absence of contamination, a number of negative
controls (DNA extracted from the PBMCs of known HTLV-free blood donors)
and blank tubes (not containing DNA) were included in each PCR run; if
a contaminated reagent was present, all the results obtained in that
run were rejected.
Total RNA was extracted by the classic method of Chomczynski and Sacchi
(6) from the whole number of available sorted cells and from
105 PBMCs; RNA underwent reverse transcription by using the
antisense outer primer; nested PCR was then performed as previously
described.
The specificity of the amplified sequences was evaluated by means of
microplate hybridization with a probe recognizing HTLV-2 tax
(pos. 7337 to 7376) (25).
The HTLV-2 provirus was molecularly characterized by means of the
restriction endonuclease analysis of pol amplified sequences (sense primer, pos. 4735 to 4756; antisense primer, pos. 4920 to 4897)
using HinfI (which recognizes a unique site in HTLV-2a) and
MseI (which recognizes a unique site in HTLV-2b).
Semiquantitative PCR.
The amount of proviral HTLV-2 DNA and
RNA was evaluated by means of limiting-dilution (LD-PCR). Tenfold
dilutions of 10 µl of the crude lysate or 5 µl of cDNA were
amplified by means of nested PCR for tax amplification as
described previously. The dilutions around the end point were retested
in a five-replicate amplification. For an analytical system giving the
sensitivity of a single copy (such as nested PCR) and a solution
containing only a few copies of a molecule, it is possible to use
Poisson's distribution to calculate the average copy number on the
basis of the frequency of the negative results obtained during the
replicate analysis (21). Application of the equation C =
ln(N0/NT), in which
N0 is the number of negative results and
NT is the number of replicate experiments
involving a single dilution, makes it possible to calculate the exact
number of PCR units (PU, the smallest unit yielding a PCR-positive
signal) contained in the end point dilution ("C" in the equation)
and then to extrapolate the number of PU present in the starting
biological sample.
The titer of tax sequences was related to the number of
cells counted by means of flow cytometry.
In order to verify the amount of DNA in each sample and the presence of
any PCR-inhibitory substances, we titrated a common sequence enclosed
in the beta-globin gene using primers PC04 and GH20 (respectively,
sense, pos.
73 to
54 and antisense, pos. 195 to 176). Briefly,
10-fold dilutions of 10 µl of each cell lysate were submitted to 40 cycles of amplification at 94°C for 30 s, 55°C for 30 s,
and 72°C for 1 min.
The efficiency of the RNA extraction was controlled by amplifying a
ubiquitous mRNA coding for the beta-actin (sense primer, pos. 1196 to
1227; antisense primer, pos. 1415 to 1384) that is constantly expressed
in human cells.
Evaluation of nested-PCR sensitivity and LD-PCR efficiency.
To
evaluate the sensitivity of the nested-PCR protocol, we amplified
different amounts of a plasmid containing the proviral genome of HTLV-2
(pMo4, kindly provided by G. Franchini of the National Cancer
Institute, Bethesda, Md.) dispersed in 1 µg of HTLV-negative human
DNA.
In order to verify the efficiency of the semiquantitative method,
solutions containing known amounts of pMo4 dispersed in 1 µg of human
DNA were titrated by means of LD-PCR, and the results were correlated
with the number of plasmid copies.
Statistical analysis.
Statistical analysis was performed with
CDC (Atlanta) Epi Info, version 6, and SPSS (SPSS Inc.)
software. Differences were calculated by means of analysis of variance
or chi-square tests, unless otherwise indicated.
Characteristics of the studied population.
All the subjects
included in the study were seropositive for anti-HTLV-1 and -2 by
ELISA. Seventeen of them showed reactivity against both gag
(p19, p24) and env proteins (recombinant gp21 and K55) in
Western blot analysis (Table 1). No
difference was found between the anti-HTLV-2 antibody titers of PSP
patients and those of the patients without PSP (mean values, 425 ± 775 versus 433 ± 739; P = 0.9 [Table 1]).
The use of PCR led to the detection of HTLV-2 tax and
pol specific sequences in the PBMCs of all of the patients
included in the study. The HTLV-2b subtype was identified in 13 patients; 5 individuals remained untyped because of the small number of pol amplified sequences.
The subjects with PSP had a mean CD4+ cell count that was
significantly lower than that for the subjects without PSP (113.3 ± 108 versus 254.3 ± 119.9 cells/µl; P = 0.03).
Sensitivity of nested PCR and LD-PCR efficiency.
By means of
nested PCR and solid-phase hybridization, we observed a signal from
about 1 molecule of plasmid pMo4. The same result was obtained in three
different experiments.
There was a correlation coefficient of 1 on a 5-log range between the
titer and the number of amplified copies of plasmid pMo4 (Fig.
1).
HTLV-2 DNA titers in total PBMCs.
The semiquantitative results
were interpretable in 13 patients because the small amount of provirus
allowed only an approximate evaluation of the HTLV-2 DNA load in 5 cases (patients 14 to 18). The frequency of negative PCR results on
these undiluted samples made it possible to estimate an HTLV-2 DNA
concentration of less than 1 PU per 100,000 cells (<0.01
PU/103 cells). The median proviral titer in all 18 HIV-1-positive patients was 0.55 PU/103 PBMCs (range, 0.01 to 50 PU/103 cells) (Table
2).
In three samples (patients 4, 8, and 13), we diluted the PBMCs
before extracting DNA. The results were similar to those observed in the samples diluted after DNA extraction (correlation coefficient, 0.9; P = 0.01).
None of the patients with proviral loads of less than 0.01 PU/103 cells were affected by AIDS, and their mean
CD4+ cell count was higher than that observed in the others
(300 ± 125.1 versus 171.7 ± 120.4 cells/µl;
P = 0.04 by the Kruskal-Wallis test). Furthermore, the
patients with proviral loads of <0.01 PU/103 cells
had a mean serum antibody titer significantly lower than that of
the patients with higher proviral loads (mean, 50.0 ± 0 versus 576 ± 817; P = 0.01).
As shown in Fig. 2, the mean HTLV-2 DNA
titer was higher in the patients with PSP than in those without PSP. In
particular, assuming a value of 0.01 PU/103 cells for the
five subjects with lower proviral loads, we calculated mean HTLV-2 DNA
titers of 15.2 (SD, ±18.5; median, 10) PU/103 PBMCs in the
patients with PSP and 1.9 (SD, ±5.7; median, 0.1) PU/103
PBMCs in those without PSP (P = 0.01 by the
Kruskal-Wallis test).

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FIG. 2.
Mean HTLV-2 DNA titers in different PBMC subsets in
patients with PSP (dark bars) or without PSP (light bars).
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HTLV-2 DNA in cell subsets.
By means of cell sorting, we
obtained CD4+, CD8+, and CD14+
cells from all the patients; CD19+ cells were obtained from
16 patients, and CD3+ cells were obtained from 12. The
median recoveries were 48,714 CD3+, 10,840 CD4+, 36,630 CD8+, 7,555 CD19+, and
31,820 CD14+ cells. The percent purity of each cell subset
was always more than 98%.
The tax titer was normalized on the basis of the number of
cells tested. Nevertheless, in order to evaluate the correspondence between the number of cells present in the lysate and the amount of
amplified DNA, a volume of each cell lysate equal to that used for
tax PCR was also titrated for the beta-globin gene. We
observed a correlation coefficient of 0.8 (P < 0.01 by
Spearman's test).
None of the five patients with proviral loads of <0.01
PU/103 cells showed tax sequences by nested PCR
in any of the tested PBMC subpopulations (Table 2).
CD3+ cells were PCR positive in 7 of the 12 available cases
(58.3%). The median titer was 1.2 PU/103 cells
(range, 0 to 100 PU/103 cells). CD8+ cells were
positive in 13 of 18 cases (72.2%), with a median proviral titer
of 1.75 PU/103 cells (range, 0 to 250 PU/103
cells), a higher value than that observed in the PBMCs of the same
patients (Table 2). In contrast, CD4+ cells were negative
in all 18 cases.
In 8 of 16 cases (50%), HTLV-2 DNA could be detected in
CD19+ cells, with a median titer of 0.2 PU/103
cells (range, 0 to 645 PU/103 cells). Finally, HTLV-2 DNA
was found in the CD14+ cells of 5 of the 18 patients
analyzed (27.8%). The median titer was 0 PU/103 cells
(range, 0 to 408 PU/103 cells).
In order to investigate the possibility that the PCR signals observed
in CD14+ and CD19+ cells were due to
contamination with CD8+ cells, we calculated the probable
number of contaminating CD8+ cells in CD14+ and
CD19+ subsets on the basis of the percentage of
purification. As shown in Table 3, in all
but one (patient 11) of the CD19+ cell samples and in all
the CD14+ cell samples, the number of possible contaminant
cells was lower than that needed to produce such a positive signal.
All of the five subjects with proviral sequences in monocytes were
affected by PSP. As shown in Fig. 2, the patients with PSP had higher
mean proviral loads in all the analyzed cell subpopulations, and
this difference was significant for CD14+ cells,
CD3+ cells, and total PBMCs. There were no other
correlations between the proviral loads in the different cell
subpopulations and the patients' clinical characteristics or
laboratory parameters, such as CD4+ cell counts or
anti-HTLV-2 antibody titers.
HTLV-2 RNA in PBMCs and cell subsets.
HTLV-2 tax
RNA was revealed in the PBMCs of 7 of the 12 patients without PSP
(58.3%) and in those of 4 of the 6 patients with PSP (66.7%). All but
one of the patients with proviral loads of <0.01 PU/103
were negative for HTLV RNA.
The median titer of HTLV-2 RNA in PBMCs was lower than that of HTLV-2
DNA (median titer, 0.01 PU/103 cells; range, 0 to 1 PU/103 cells). No significant correlation between HTLV-2
DNA and RNA titers was observed. No difference was found between the
RNA titers of the subjects with and without PSP.
Reverse transcription-PCR could also be performed on the
CD14+ and CD19+ cells of two patients each
(patients 1 and 3 and patients 8 and 11, respectively) and on the
CD3+ cells of six patients (patients 1, 2, 3, 7, 8, and
11). All the CD14+ cell samples, one CD19+ cell
sample, and three of the six CD3+ cell samples showed
HTLV-2 tax RNA sequences.
The titers of tax RNA in the CD14+ cells of
patient 1 (3.7 PU/103 cells) and the CD19+
cells of patient 8 (5.9 PU/103 cells) were, respectively,
20 and 10 times higher than the proviral DNA titers.
The association of HTLV-2 with any human disease is still debated.
Despite the evidence supporting the pathogenetic role of HTLV-2 in
neurological diseases (1-3, 9, 20, 26), the mechanism
involved has not yet been clarified. Some clues may be drawn from
studies of HTLV-1, in which nervous-tissue damage has been attributed
to the direct killing of infected glial cells by cytotoxic T
lymphocytes or to the secretion of neurotoxic cytokines (such as tumor
necrosis factor). Other authors have excluded the presence of the virus
in glial cells (10) and suggested a possible breakdown in
tolerance with an autoimmune reaction. Both of these hypotheses raise a
crucial question concerning the cell tropism of the virus. In the case
of HTLV-1, there are conflicting data as to whether the virus can
infect cells other than T lymphocytes (8, 11, 14). Less is
known about the ability of HTLV-2 to infect cell targets other than
CD8+ T lymphocytes (12, 15) in vivo. Moreover,
no data exist concerning the possible influence of HIV-1 coinfection on
the cell tropism of HTLV-2.
In our study, HTLV-2 DNA was detected mainly in CD8+ and
CD3+ cells, in which its concentrations were similar to
that found in the total PBMCs of each patient. As CD8+
cells represent a high proportion of the circulating mononuclear cells in the majority of our HIV-1 patients, this result is in agreement with the observation that CD3+ and
CD8+ cells are the preferential targets of HTLV-2 infection
in patients coinfected with HIV-1, regardless of the presence of PSP.
In contrast, the CD4+ T lymphocytes were always negative.
This result appears to be discordant with a previous report of a low
proviral load (1 proviral copy per 104 to 105
cells) in this cell type (15). The depletion of
CD4+ cells in our HIV-1-positive patient population might
be one of the reasons for this discordance.
We obtained comparable concentrations of HTLV-2 DNA whether the PBMCs
were diluted before or after extraction. This finding suggests a
provirus copy/infected cell ratio near 1:1. These data are different
from those previously reported for HTLV-1 (17); more-accurate studies are needed to discover whether this difference is
due to the different viral tropism of the two HTLVs or to the presence
of HIV-1 coinfection in our study population.
Five subjects had the provirus in peripheral monocytes, and eight had
it in B lymphocytes. This phenomenon seemed to be restricted to the
subjects with the highest HTLV-2 proviral loads, who are frequently
those with the lowest CD4+ cell counts. It is therefore
possible to suggest that HIV-1 infection is the cause of a spread of
HTLV-2 to different cell subpopulations. The patients with PSP had the
highest proviral loads and always had a broader range of infected PBMC
subsets.
Moreover, HTLV-2 DNA was present in the CD14+ cells of five
of the six subjects affected by PSP but was absent in CD14+
cells obtained from the other patients. For two PSP patients, the
proviral titer in these cells was at least 10 times higher than that in
the PBMCs, suggesting a preferential concentration of HTLV-2 DNA in
this subset. HTLV-2 RNA was detected in the CD14+ cells of
the two PSP patients analyzed, and in one case, its level exceeded that
of the provirus. This observation suggests active provirus expression
in monocytes.
The presence of HTLV-2 in CD14+ cells prompts some further
considerations. The way by which HTLV may enter the nervous system has
not yet been clarified. The possible role of the monocyte/macrophage lineage as a "Trojan horse" carrying the virus into the nervous system has been proposed, and data relating to the ability of HTLV-1 to
infect macrophages (8, 11) seem to support this hypothesis.
Our findings suggest a common strategy of HTLVs to invade and/or damage
the nervous system through monocytes/macrophages.
Information concerning the detectability of HTLV-2 in nervous tissues
and cerebrospinal fluid is scanty and does not include the
identification of the type of cell involved (16). In our experience, we have detected proviral DNA in tissue homogenates of PSP patients (26), but histological evaluation of
the analyzed peripheral nervous tissues did not show any mononuclear
cell infiltration. Further studies are therefore needed to verify
the hypothesis that infected macrophages play a role in
causing PSP.
As mentioned above, the patients with PSP had higher proviral loads
than those without PSP. In the natural history of HTLV-1 infection,
the proviral loads in subjects with TSP/HAM are commonly higher than in
those without TSP/HAM. In particular, the presence of infected PBMCs in
proportions as high as 1/5 vis-à-vis total PBMCs has been
reported in TSP/HAM patients, versus means of 1/25 to 1/100 in
asymptomatics (22). Nevertheless, the HTLV-2 proviral load
in whole PBMCs observed in our study seems to be lower than that
reported for HTLV-1-infected patients. However, our data do confirm the
wide range of variation in proviral load previously reported by other
authors (7). Unlike some other investigators studying both
HTLV-1 and HTLV-2 (13, 19), we did not observe any
significant correlations between antibody titers and proviral loads,
although the patients with the lowest proviral loads also had the
lowest antibody titers. Moreover, we did not observe any correlations
between antibody titers and the presence of PSP, a finding that is in
agreement with our recent observations of ELISA-negative patients with
PSP, who probably have very low levels of circulating anti-HTLV-2
antibodies (25). A role of HIV-1 infection in reducing the
specific humoral response cannot be excluded in this case.
Another finding of our study concerns the presence of significant
HTLV-2 DNA titers in B lymphocytes. We have recently described a high
frequency of anti-HTLV antibodies in the sera of HIV-1 patients
affected by non-Hodgkin's lymphoma (27). The possible broadening of viral tropism to B cells (probably facilitated by HIV-1
coinfection) should perhaps be taken into account in future studies of
the role of HTLVs in AIDS-associated lymphomas.
In conclusion, our study shows that subjects affected by PSP have
HTLV-2 proviral loads that are higher than those of patients without PSP.
The spread of the virus to different types of cells might
represent the trigger points of the pathologic processes, although the
role of HIV-1 coinfection in this broadening of the cell
tropism of HTLV-2 remains to be defined. Studies including
HTLV-2-positive, HIV-1-negative individuals are needed in
order to clarify whether the HTLV-2-associated conditions in
HIV-1-positive patients, such as PSP, are the consequence of
opportunism on the part of an otherwise nonpathogenetic virus in
immunodeficient patients or are due to an intrinsic pathogenicity that
may also emerge in immunocompetent hosts.
 |
ACKNOWLEDGMENTS |
We thank M. Osio for neurological consultancy.
This work was supported by grant 920465/95 from the Istituto Superiore
di Sanità, Rome, Italy.
 |
FOOTNOTES |
*
Corresponding author. Mailing address: Istituto di
Malattie Infettive e Tropicali, Università degli Studi di Milano,
c/o Ospedale L. Sacco, Via G.B. Grassi, 74, 20157 Milan, Italy. Phone: 39-2-38200319. Fax: 39-2-3566644. E-mail:
zehender{at}imiucca.csi.unimi.it.
 |
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Journal of Virology, September 1998, p. 7664-7668, Vol. 72, No. 9
0022-538X/98/$04.00+0
Copyright © 1998, American Society for Microbiology. All rights reserved.
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