The Journal of Immunology, 2002, 169: 39-48.
Copyright © 2002 by The American Association of Immunologists
Memory Functions and Death Proneness in Three CD4+CD45RO+ Human T Cell Subsets1
Takaaki Ohara2,
Kazuaki Koyama,
Yoichiro Kusunoki,
Tomonori Hayashi,
Naohiro Tsuyama3,
Yoshiko Kubo and
Seishi Kyoizumi4
Laboratory of Immunology, Department of Radiobiology, Radiation Effects Research Foundation, Hiroshima, Japan
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Abstract
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We propose a classification of human
CD4+CD45RO+ memory T cells into three new
subsets based on cell surface expression levels of CD43. The first
subset consists of cells whose CD43 expression is relatively high; this
subset also contains the highest proportion of recall Ag-reactive
precursors, and its constituent cells respond far more strongly than
cells in either of the other subsets to immobilized CD3 Ab in addition
to secreting substantially more IFN-
and IL-4. Cells of the second
subset express similar levels of CD43 to naive cells, and they also
respond weakly to TCR-mediated stimuli as judged by either their
ability to proliferate or capacity for cytokine production. The third
subsets consists of cells whose CD43 expression levels are clearly
down-regulated; its cells appear to be anergic to TCR-mediated stimuli,
and when examined ex vivo many of them appear to be undergoing either
spontaneous apoptosis via a caspase-independent pathway or Fas-mediated
apoptosis via a caspase-dependent pathway, even in the resting state.
An analysis of telomere lengths revealed that the typical telomere of a
cell in the second subset was significantly longer than the typical
telomere in the first or third subset. Taken together, these results
appear to indicate that CD4+CD45RO+ T cells
fall into three functionally differing subsets, one being a subset of
cells with fully matured memory phenotype, a second being a less mature
subset of cells that retain longer telomeres and whose memory
functionality is marginal, and a third consisting of anergic cells that
give every appearance of being death-prone and/or in the process of
dying.
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Introduction
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Memory
T cells generated during a primary response appear to survive for long
periods and are therefore available to provide immediate protection as
well as to assist in the provision of rapid and effective responses if
and when a relevant Ag is re-encountered (1, 2, 3). However,
we know very little about the mechanisms involved in the generation and
persistence of memory T cells, or about the factors that control their
activities in vivo. Murine CD4 and CD8 memory T cells appear to have
much less stringent requirements for TCR-MHC interactions for their
long-term homeostatic proliferation and survival than do naive T cells,
insofar as can be judged by kinetic analyses of T cells expressing
transgenic TCRs following their transfer to MHC-deficient mice
(4, 5). Unfortunately, attempts to study the process
involved in T cell memory and homeostasis in humans have been hampered
by the absence of such well-defined in vivo experimental systems.
Studies of the in vivo kinetics of mature T cell pools in humans have
been heavily reliant upon following the kinetics of restoration of the
human T cell compartment after its partial elimination by disease
(6, 7), or following its eradication by radiotherapy or
chemotherapy (8, 9). In most cases, such studies have
involved studying the differentiation, long-term survival, and cell
division of human T cells using such cellular markers as chromosome
aberrations (10), mutations (11, 12),
telomere lengths (9, 13, 14), and TCR excision circles
(7, 15, 16); in addition, investigators have tended to use
the surface expression of CD45 isoforms to distinguish between naive
and memory T cells (2, 17). One problem of the latter
approach, though, is that human memory T cells that express the memory
type CD45 isoform (RO+ or
RA-) are by no means uniform in their functional
and maturational properties. Recent papers indicate that human CD4 T
cells expressing the memory type CD45 isoform can be divided into two
populations that differ with respect to their expression of the homing
receptors associated with nonidentical memory functions (18, 19), i.e., CCR7- memory cells, so called
"effector memory cells" that preferentially enter inflamed tissues
and perform immediate effector functions, and
CCR7+ memory cells, "central memory cells"
that express lymph-node homing receptors and lack immediate effector
functions. It has also been suggested that human peripheral T cells
displaying the memory surface phenotype can be anergic, and also may be
capable of acting in a regulatory capacity in much the same manner as
the better-understood regulatory T cells of mice (20, 21).
Our knowledge of the number and nature of possible human memory T cell
subsets is therefore somewhat limited and in obvious need of
clarification. In this study, we sought to develop a new classification
system by using leucosialin (CD43) as a surface marker with which to
divide human CD4+CD45RO+
memory T cells into three distinct subsets; we also sought to provide a
detailed characterization of each subset on the basis of its
phenotypic and/or functional attributes.
We chose to use CD43, a highly glycosylated transmembrane protein that
is expressed in all hematopoietic cells except mature B cells and
erythrocytes (22), as a marker in our study primarily
because previous workers have suggested that it may have a role in the
regulation of several T cell functions (23) including
adhesion (24, 25), activation (26), and
proliferation (27), in addition to an involvement in cell
survival and apoptosis (28, 29). However, we are well
aware that there are still many conflicting views about the precise
function of CD43 (23, 30, 31). Of particular interest,
though, is a recent study in which it is indicated that the
up-regulation of CD43 expression in activated
CD4+ T cells could have a negative effect on
activation-induced cell death, and that this could make high levels of
expression of CD43 of value as a defining marker for
CD4+ memory T cells in the mouse
(32). However, the evidence cited in support of this idea
was not very strong, and we feel that much further experimentation will
be required before it is likely to gain widespread acceptance.
In this paper we suggest dividing human
CD4+CD45RO+ T cells into
three subsets on the basis of CD43 expression levels. Although we have
not yet identified all of the effects of the CD43 protein on the
generation and/or longevity of memory T cells, our results to date do
seem to indicate that CD43 will be a useful marker in any future
nomenclature that may be developed with a view to describing the
functional heterogeneity of human memory T cells. Implications of our
work for an improved understanding of the events involved in human
memory T cell maturation and termination are also discussed.
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Materials and Methods
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Antibodies
A novel CD43 mAb, HSCA-2 (IgG1 subclass), was prepared by
immunizing BALB/c mice with KG-1 cells and fusing their spleen cells
with NS1 myeloma cells. HSCA-2 mAbs purified from mouse ascites were
then labeled with FITC (Sigma-Aldrich, St. Louis, MO). Binding of this
labeled Ab to KG-1 cells was completely blocked by other known CD43
mAbs such as DFT-1 (33) (Coulter-Immunotech, Marseille,
France) and 1G10 (BD PharMingen, San Diego, CA). HSCA-2 mAb bound to
HeLa cell transfectants expressing human CD43 but not to
mock-transfected HeLa cells; it also recognized the sialocarbohydrate
moiety of a novel CD43 isoform expressed in T, NK, and activated B
cells, but not in monocytes or granulocytes (S. Kyoizumi and T. Ohara,
manuscript in preparation). This mAb was filed for participation
in the 8th International Workshop on Human Leukocyte
Differentiation Ags (to be held in Adelaide, Australia). Unconjugated
CCR7 mAb, PE-conjugated CD4, CD25, and CD62L mAbs and streptavidin were
purchased from BD PharMingen. PerCP-labeled CD4 and CD8 mAbs were from
BD Biosciences (San Jose, CA). PE-conjugated CD27, CD28, CD54, and CD95
mAbs were from Coulter-Immunotech. PE-conjugated TCR
, CD2,
CD29, CD43, CD44, and CD45RO mAbs and Tricolor-labeled CD45RO mAb were
from Caltag Laboratories (Burlingame, CA). PE-labeled CXCR3 mAb for a
Th1 surface marker (34) was obtained from R&D Systems
(Minneapolis, MN) and biotinylated CRTH2 mAb for a Th2 surface marker
(35) was kindly provided by Dr. K. Nagata (BML, Kawagoe,
Japan). Apoptosis-inducible Fas (CD95) mAb was purchased from Medical
and Biochemical Laboratories (Nagoya, Japan).
Cell preparations and flow cytometry
PBMCs from healthy adult volunteers (n = 17) and
cord blood mononuclear cells
(CBMCs)5
(n = 7) were isolated by density centrifugation in
Ficoll-Hypaque (ICN Biomedical, Aurora, OH). For triple-color analysis
PBMCs and CBMCs were simultaneously stained with either PerCP-labeled
CD4 or CD8 in combination with FITC-labeled CD43 and PE-conjugated
CD45RO mAbs. CD4+ or CD8+
lymphocytes were gated on forward/side scatter and PerCP fluorescence.
The proportions of
CD4+CD45RO- cells
(RO- subset) and
CD4+CD45RO+ cells
expressing high (M1 subset), intermediate (M2 subset), and low (M3
subset) levels of CD43 were measured by flow cytometry with FACScan (BD
Biosciences) (see Fig. 1
A). To analyze the surface phenotype
of each subset, CD4+ cells were purified by
positive enrichment using MACS (Miltenyi Biotec, Bergish Gladbach,
Germany). In brief, PBMCs were incubated with magnetic beads conjugated
with CD4 mAbs, followed by enrichment of positive cells using an
autoMACS device (Miltenyi Biotec) according to the manufacturers
instructions. Purified CD4+ T cells were stained
with FITC-labeled CD43 (HSCA-2), Tricolor-labeled CD45RO, and PE
directly labeled TCR
, CD2, CD4, CD25, CD27, CD28, CD29, CD44,
CD54, CD62L, CD95, or CXCR3 mAbs, or PE indirectly labeled CRTH2 (with
biotinylation followed by PE-streptavidin), or CCR-7 (followed by
biotinylated anti-mouse IgM and PE-streptavidin) mAbs.

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FIGURE 1. Flow cytometric analyses of CD43 and CD45RO expression in
CD4+ (A and C) and
CD8+ (B and D) lymphocytes
from adults (A and B) and cord blood
(C and D) by triple-color
immunofluorescence. Four different subsets can be defined within
CD4+ cell populations from adult blood: CD45RO+
cells expressing higher (M1), intermediate (M2), and lower (M3) levels
of CD43, and CD45RO- (RO-) cells. In each
donor a window for the M2 subset was set in a region where the CD43
level was from approximately one-half to 2-fold of the mean CD43
intensity for RO- cells. These four CD4+ T
cell subsets in adult lymphocytes differ in forward light scatter
(E). Results are representative of 10 different blood
samples.
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For the isolation of CD4+ T cell subsets to be
cultured, CD4+ cells were purified by negative
enrichment using the MACS. In brief, PBMCs were incubated with magnetic
beads conjugated with CD8, CD11b, CD16, CD19, CD36, and CD56 mAbs,
followed by depletion of positive cells using autoMACS. MACS-purified
CD4 T cells were stained with FITC-labeled CD43 (HSCA-2) and PE-labeled
CD45RO mAbs. After incubation with propidium iodide (PI) at 10 µg/ml
for 15 min to gate out dead cells, CD4+ T cells
in the four subsets were sorted by a single laser cell sorter, FACStar
(BD Biosciences). During cell sorting, stained and sorted cell
suspensions were held at 4°C by a cooling circulation system.
Cell proliferation assays
For T cell responses to recall Ags in bulk culture, 96-well
flat-bottom plastic plates were used. Sorted T cells (5 x
104 cells/well) were stimulated with tuberculosis
purified protein derivative (PPD; Connaught Laboratories,
Willowdale, Ontario, Canada) at 5 µg/ml, tetanus toxoid (TT;
Calbiochem, La Jolla, CA) at 5 µg/ml, or inactivated influenza virus
(IV) H1N1 (Advanced Immuno Chemical, Long Beach, CA) at 2.5 µg/ml in
the presence of autologous monocytes (2.5 x
104 cells/well), which were previously isolated
using magnetic beads coated with anti-CD14 Ab (Miltenyi Biotec) and
irradiated with x-ray at 30 Gy. The culture medium used for this assay
was RPMI 1640 supplemented with 10% human serum. Proliferation was
measured on day 5 for PPD and day 7 for TT and IV by adding
[3H]thymidine (NEN Life Science Products,
Boston, MA) at 1 µCi/well during the last 16 h of culture. All
cultures were set up in triplicate. Immobilized CD3 mAb was prepared by
binding OKT3 mAb (10 µg/ml in sodium bicarbonate buffer, pH 9.6) in
flat-bottom 96-well plates at room temperature for 2 h and then
washing the plates with RPMI 1640 supplemented with 10% FCS. For
proliferative responses to anti-CD3 mAb, sorted T cells were
stimulated with either immobilized CD3 (OKT-3) mAb or soluble CD3 mAb
(2 µg/ml) in the presence of autologous monocytes. The culture medium
used for this assay was RPMI 1640 medium supplemented with 10% FCS.
The effects of soluble CD28 mAb (1 µg/ml; Coulter-Immunotech), human
rIL-2 (10 ng/ml; PeproTech, Rocky Hill, NJ), or PMA (10 ng/ml;
Sigma-Aldrich) on immobilized CD3 mAb-induced cell proliferation were
also evaluated. Incorporation of [3H]thymidine
was measured on day 3 during the last 16 h of culture.
Limiting dilution assays
To set up a limiting dilution assay (LDA) of PPD-reactive CD4 T
cells, graded numbers of total CD4+ T cells or of
the four sorted CD4+ T cell subsets were seeded
into 96-well flat-bottom plates along with 2.5 x
104 x-irradiated (30 Gy) autologous
CD14+ monocytes as APC. Twenty-four well
replicate series per subset were set up for each dilution. The cells
were cultured in RPMI supplemented with 10% human serum. After 3 days
in culture, human rIL-2 was added to each well at a final concentration
of 0.1 ng/ml. After an additional 11 days of culture, cell
proliferation was measured by adding
[3H]thymidine to each well at a concentration
of 1 µCi/well. The response of each well was scored positive when
radioactivity exceeded the mean + 3 SD in a set of 24 control wells
containing APC in the absence of responder cells. The frequencies of
reactive cells were calculated by fitting a generalized linear model
with a complementary log-log link using L-Calc limiting
dilution analysis software (StemSoft Software, Vancouver, Canada).
Cytokine measurement
T cells were stimulated with immobilized CD3 mAb (OKT-3 mAb) in
the presence of CD28 mAb (1 µg/ml), IL-2 (0.1100 ng/ml), or PMA (10
ng/ml) for 24 or 48 h. Production of cytokines by T cell subsets
was measured in the culture supernatants by ELISA using matched pairs
of Abs specific for IL-4 and IFN-
(BD PharMingen). Briefly,
anti-cytokine capture Abs (1 µg/ml) were coated to the wells of
an enhanced protein-binding ELISA plate overnight. Nonspecific binding
was blocked by incubation with blocking buffer (PBS containing 4%
BSA). Culture supernatants and standards were added and incubated for
2 h at room temperature. After washing a plate with blocking
buffer, biotinylated anti-cytokine detection Ab (1 µg/ml) was
added and incubated for 1 h at room temperature. After washing
with blocking buffer, avidin-HRP conjugate was added and incubated for
30 min at room temperature. For color development,
3,3',5,5'-tetramethylbenzidine substrate (Kirkegaard & Perry
Laboratories, Gaithersburg, MD) and
H2O2 (0.01%) were added
and incubated for 30 min before absorbance at 405 nm was recorded.
Induction and detection of cell death
For the induction of cell death in culture, PI-unstained viable
T cells from the M1, M2, M3, and RO- subsets
were separated in a cell sorter and then cultured for 1672 h with
RPMI supplemented with 10% FCS in the presence and absence of Fas mAb.
The involvement of caspases in spontaneous and Fas-mediated cell death
was evaluated by adding the peptide inhibitor Z-VAD-fmk (Sigma-Aldrich)
to the cultures at various concentrations. Possible inhibitory effects
of IL-2 on cell death were also examined. Cell death was detected by
staining cultures with FITC-labeled annexin V (Coulter-Immunotech)
according to the manufacturers instructions. Briefly, fresh or
cultured T cells were washed with PBS and resuspended in a binding
buffer (140 mM NaCl, 2.5 mM CaCl2, 10 mM HEPES
(pH 7.4)). The cell suspensions were then mixed with 0.5 µg/ml
FITC-labeled annexin V and 1 µg/ml PI and incubated at room
temperature for 15 min in the dark. To detect intracellular activated
caspases, the cell suspensions were incubated with an FITC conjugate of
Z-VAD-fmk (Promega, Madison, WI) at 10 µM for 20 min
(36). The fluorescence signals from FITC and PI were
measured by flow cytometry using a single laser FACScan. Apoptotic cell
death was confirmed by detecting the cleavage of DNA into
oligonucleosomal fragments using an Apoptosis Ladder Detection kit
(Wako Pure Chemical, Osaka, Japan).
Telomere length measurement
We measured the telomere lengths of CD4 T cells using
fluorescence in situ hybridization as previously described (14, 37). In situ hybridization was performed using
1 x
105 cells from each CD4 T cell subset in a
hybridization mixture containing 70% formamide solution, 20 mM Tris
(pH 7), 0.1% BSA, and either 0.3 µg/ml telomere-specific
FITC-labeled peptide nucleic acid probe (C3T
A2; Sawady Technology, Tokyo, Japan) or peptide
nucleic acid probe specific for the alphoid sequences of the X
chromosome as a control for background fluorescence. Samples were
subjected to heat denaturation of DNA for 10 min at 80°C followed by
hybridization overnight at 20°C. The cells were then washed with 70%
formamide solution, 20 mM Tris (pH 7), 0.1% BSA, and 0.1% Tween 20.
Following a final wash without formamide, the cells were suspended in
PBS/0.1% BSA containing 10 µg/ml RNase A and incubated for 2 h
at room temperature. Before flow cytometry, 0.06 µg/ml
7-aminoactinomycin-D (7-AAD) was added to each cell suspension and
fluorescence from the FITC-probe and 7-AAD was analyzed by FACScan.
Interphase cells were gated on 7-AAD fluorescence and forward scatter
to obtain the fluorescence histograms derived from FITC-labeled
telomere or control probes. The specific telomere fluorescence of cells
was calculated by subtracting the mean background fluorescence from the
mean fluorescence obtained with the telomere probe. We confirmed that
intraindividual variation of telomere fluorescence is very low
(coefficient of variations is <5% for triplicate samples). Also, we
obtained constant data for each individual when tests were done at
different experimental times (coefficient of variations was
5% for
three different samplings). To estimate telomere length from telomere
fluorescence we used a calibration curve obtained by plotting telomere
fluorescence against the values for telomere length obtained by
Southern blot analysis for PBMC (n = 16) and CBMC
(n = 2). The lengths of the mean terminal restriction
enzyme fragments were determined by hybridization with the appropriate
oligonucleotide telomere probe on a Southern blot. The slope of the
calibration curve (Y = 39.0X,
R2 = 0.79) was used for the estimation
of telomere length (Y in base pairs) from telomere
fluorescence (X in arbitrary units).
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Results
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CD4+CD45RO+ T cell subsets differentially
express CD43
To study possible variations in CD43 expression levels in human
memory T cells, we analyzed human adult peripheral blood and cord blood
T cells by three-color flow cytometry using mAbs against CD43 (HSCA-2),
CD45RO, and CD4 or CD8 (Fig. 1
, AD). We found that adult
CD4+ T cells could be divided into four subsets;
one was CD45RO- and expressed an intermediate
level of CD43 (designated the RO- subset). There
were also three CD45RO+ subsets: an M1 subset
consisting of cells that expressed high levels of CD43; an M2 subset
consisting of cells that expressed intermediate levels of CD43; and an
M3 subset consisting of cells that expressed low levels of CD43 (Fig. 1
A). HSCA-2 mAb turned out to be the most useful of the CD43
mAbs for separating these three CD45RO+ subsets
in flow cytograms (data not shown). In contrast to our findings with
adult blood, almost all of the cord blood CD4+ T
cells proved to be CD45RO- cells expressing
intermediate levels of CD43 (Fig. 1
C). Adult
CD8+ T cells were also found to contain cells in
which CD43 expression was either up- or down-regulated (Fig. 1
B). We now describe the more detailed results of our
analyses of adult CD4+ T cells.
The proportions of the three adult
CD4+CD45RO+ T cell subsets
(see above) that we could detect in a group of 10 normal donors (mean
age, 43 years; age range, 2752 years) were as follows: M1, 14.3
± 6.5% (mean ± SD); M2, 17.5 ± 4.5%; M3, 3.9 ±
1.5%. The forward scatter histograms indicated that the M1 subset
cells were the largest of the CD4+ T cells, while
the M3 subset cells were larger than RO- cells
but smaller than either M1 or M2 cells in all 10 donors (Fig. 1
E). By making use of three-color flow cytometry of
MACS-purified CD4 T cells (Table I
), we
found that M1 cells express significantly higher levels of coreceptor
and costimulatory molecules (such as CD2, CD4, and CD28) than either M2
or M3 cells. Expression of adhesion molecules such as CD29, CD44, and
CD54 also appeared to be expressed at higher levels in M1 subset cells
than in M2 or M3 cells. The proportion of cells with an effector memory
(CD27- or CCR7-)
phenotype was higher in the M1 subset than in the M2 or M3 subset.
Interestingly, the expression levels of CD25 and CD62L cells were
somewhat higher in the M3 subset than in the other subsets. Also, CD95
expression levels were slightly higher in the M3 subset than in the M1
or M2 subsets. The M1 subset appeared to contain proportionally more
Th1 cells than the others, while the M3 subset appeared to contain
proportionally more Th2 cells than the others.
Responses to recall Ags and immobilized CD3 Ab
To analyze memory functions in the three
CD4+CD45RO+ T cell subsets,
we examined the proliferative responses of each subset to appropriate
recall Ags (PPD, TT, and IV presented by autologous
CD14+ APC) in bulk culture (Fig. 2
). M1 subset cells responded more
strongly than M2 and M3 subset cells to the test Ags. M2 cells did
respond, albeit very weakly, while M3 cells did not appear to respond
at all. To estimate precursor frequencies (PF), we performed LDA of
detectably PPD-reactive cells in the various CD4+
T cell subsets from two healthy donors (Fig. 3
). We found that the M1 subset contained
the highest frequency of precursors in both donors and that the M2
subset contained less than one-eighth as many; the M3 subset had an
even lower PF than the M2 subset.

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FIGURE 2. Proliferative responses to recall Ags in CD4+ T cell
subsets. MACS-purified CD4+ T cells were sorted by FACS
into the indicated subsets and thereafter stimulated with PPD, TT, or
IV in the presence of autologous CD14+ APC. Proliferation
was measured on day 5 (PPD) or 7 (TT and IV) by adding
[3H]thymidine during the last 16 h of culture.
Results are expressed as mean cpm ± SD and are representative of
three donors.
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FIGURE 3. LDAs of proliferative responses to PPD Ag in the four CD4+
T cell subsets from two donors whose PFs of the total CD4 T cells were
the lowest (upper panel) and the highest (lower
panel) of six laboratory controls. The PF as calculated by
regression analysis is in parentheses.
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It is, of course, possible that M2 and/or M3 subset cells are unable to
respond particularly well to TCR-mediated stimuli. To investigate this
possibility we examined the proliferative responses of all three
subsets to 1) immobilized CD3 mAb or 2) soluble CD3 mAb in the presence
of CD14+ APC (Fig. 4
A). M1 subset cells responded
quite strongly to immobilized CD3 mAb, whereas M2 cells responded very
weakly. Costimulatory signaling by APC enhanced the response of M2
subset cells to a level more typical of M1 subset cells, perhaps
indicating that cells of M2 subset cells are able to respond fully only
in the presence of a particular type of costimulatory signal. Similar
results using CD28 mAb as the costimulant provided further support for
this idea (Fig. 4
B). Because the LDAs of the PPD response
were performed using CD14+ APC, the above
findings strongly support the conclusion that M2 T cell populations
contain PPD-reactive precursors at very low frequencies rather than
many cells with an innately reduced responsiveness to antigenic
stimuli. In contrast to M1 and M2 subset cells, M3 subset cells
completely failed to respond to immobilized CD3 mAb, but they did show
some activity in the presence of either APC or CD28 mAb. This
unresponsiveness of M3 cells to CD3 mAb could be reversed by 10 ng/ml
IL-2 (Figs. 4
B and
5A); by contrast, their lack
of reactivity to PPD was not altered by the addition of 10 ng/ml IL-2
(data not shown).

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FIGURE 4. Proliferative responses to CD3 mAb in CD4+ T cell subsets.
Purified CD4+ T cell subsets were stimulated with
immobilized CD3 mAb (iCD3; A and B),
soluble CD3 mAb (sCD3; 2 µg/ml) in the presence of CD14+
APC (A), or immobilized CD3 in the presence of soluble
CD28 mAb (1 µg/ml) or IL-2 (10 ng/ml) (B).
Proliferation was measured on day 3 following addition of
[3H]thymidine for the last 16 h of culture. Results
are expressed as mean cpm ± SD and are representative of three
donors.
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Cytokine production
The cytokine production profile of each CD4+
T cell subset was measured following stimulation with immobilized CD3
mAb in the presence or absence of IL-2 (Figs. 5
, B and
C, and 6), CD28 mAb, or PMA
(Fig. 6
). Of the four subsets, M1 cells secreted most IFN-
and IL-4
in response to stimulation with CD3 mAb plus IL-2, CD28 mAb, or PMA,
almost certainly reflecting the fact that the M1 subset contains many
mature Th1 and Th2 cells as judged by their expression of Th1 or Th2
surface markers (Table I
). M2 subset cells produced lower levels of
IFN-
or IL-4 than M1 subset cells in both the presence and absence
of secondary signals. Similarly, M3 subset cells produced only
extremely low levels of IFN-
and IL-4 in response to CD3 stimulation
both with and without CD28 mAb but appeared to produce substantial
amounts of IL-4 in the presence of IL-2 or PMA.

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FIGURE 5. Effects of IL-2 on immobilized CD3 mAb-induced proliferation and
cytokine production in CD4+ T cell subsets. Purified
CD4+ T cell subsets were stimulated by immobilized CD3 mAb
in the presence of various concentrations of human IL-2. Proliferation
was measured on day 3 following the addition of
[3H]thymidine for the last 16 h of the culture
(A). Production of IFN- (B) and IL-4
(C) was measured in supernatants of the 2-day cultures
by ELISA. Results are representative of three donors.
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FIGURE 6. Capacity to produce IFN- and IL-4 in the CD4+ T cell
subsets. Purified CD4+ T cell subsets were stimulated with
immobilized CD3 mAb, either alone or in combination with soluble CD28
mAb (1 µg/ml), IL-2 (10 ng/ml), or PMA (10 ng/ml). Supernatants were
collected on day 1 after initiation of the cultures. Cytokine levels of
the supernatants were determined by ELISA. Results are expressed as
mean ± SD and are representative of three donors.
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Spontaneous and Fas (CD95)-mediated cell deaths
We considered the possibility that M3 subset cells might not
survive very well in culture, as an explanation for our inability to
detect a response to CD3 mAb. To test this possibility, we isolated and
cultured viable PI- cells in each
CD4+ T cell subset and followed their fate,
paying particular attention to death-associated events, by flow
cytometry (Fig. 7
). Only a small
percentage of the PI- cells displayed typical
death-associated phenotypes with respect to changes in cell size (Fig. 7
A) or annexin V binding (Fig. 7
B) in the
immediate aftermath of cell isolation. The percentages of dying cells
were significantly greater in the M3 subset than in the other subsets
after 16 h in culture but increased slowly in all subsets if
culture was prolonged beyond 24 h (Fig. 8
A). After 16 h of
culture, isolated annexin V+ M3 cells exhibited
typical apoptotic features, including the nuclear shrinkage and
fragmentation associated with chromatin condensation (Fig. 9
A). Apoptosis of M3 subset
cells was confirmed by DNA electrophoresis, with oligonucleosomal DNA
fragmentation becoming obvious in the M3 population as a whole but even
more obvious in isolated annexin V+ M3 cells
(Fig. 9
B). The addition of anti-Fas mAb to the culture
medium significantly enhanced apoptosis in the M3 cell population but
had little or no effect on the cells of the other subsets (Fig. 8
).
These findings indicate that M3 subset cells are especially prone to
both spontaneous and Fas-mediated apoptosis.

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FIGURE 7. Flow cytometric analysis of spontaneous apoptosis in CD4+ T
cell subsets. Purified CD4+ T cell subsets were cultured in
RPMI supplemented with 10% FCS for 16 h. Apoptosis was followed
by light scattering of the RO- and M3 subsets
(A) and by binding of FITC-annexin V or FITC-Z-VAD-fmk
to the M3 subset (B). A region for positive staining was
determined using Fas mAb-treated Jurkat cells. Values are the
percentages of positive cells. Results are representative of five
donors
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FIGURE 8. Spontaneous and Fas mAb-induced apoptosis in the CD4+ T
cell subsets. Purified CD4+ T cell subsets were cultured in
the presence and absence of anti-Fas mAb for various times. Time
courses of spontaneous cell death in the RO-, M1, M2, and
M3 subsets, Fas mAb-induced cell death in the M3 subset
(A), and dose dependency of Fas mAb-induced cell death
at 16 h (B) were analyzed by flow cytometry using
FITC-annexin V. Results on the dose dependency (B) are
expressed as the mean ± SD for three donors. *, The percentage
of annexin V+ cells in the M3 subset was significantly
larger in the presence of Fas mAb than in the absence of Fas mAb by
t test (n = 3, p
< 0.01).
|
|
To examine the involvement of caspases in spontaneous and Fas-mediated
apoptosis of M3 cells, we followed the activation of caspases by flow
cytometry using FITC-labeled Z-VAD-fmk, a compound that specifically
binds the activated forms of all caspases (Fig. 7
B). By
16 h in culture the fraction of M3 cells containing activated
caspases had increased to only
7%; this represents only about
one-third of the number of annexin V+ cells that
are present in the M3 population (Fig. 7
B) and may indicate
that the bulk of the spontaneous apoptosis events involving M3 cells
are caspase independent. To study this possibility further, we went on
to use the pan-caspase inhibitor Z-VAD-fmk as an inhibitor of M3 cell
apoptosis (Fig. 10
A). As
expected, Z-VAD-fmk blocked only about one-fifth of the total
spontaneous cell death events in M3 subset cells, whereas it virtually
eliminated any signs of Fas mAb-induced apoptosis. Because a majority
of the M3 cells appeared to express CD25 (Table I
), we tested the
effects of IL-2 on the death of M3 cells and found that it inhibited
spontaneous apoptosis in a dose-dependent manner but appeared to have
no obvious effect on Fas mAb-mediated apoptosis (Fig. 10
B).

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FIGURE 10. Effects of Z-VAD-fmk and IL-2 on spontaneous and Fas mAb-induced
apoptosis in the M3 subset. Purified M3 subset cells were cultured in
the presence and absence of anti-Fas mAb for 16 h. Various
concentrations of Z-VAD-fmk (A) and IL-2
(B) were added to the cultures at the time of
initiation. Cell death was measured by flow cytometry using
FITC-annexin V. The concentration of DMSO in the mock experiment
(A) was 0.05%, equivalent to that used in the
experiment with 25 µM Z-VAD-fmk. Results are representative of five
different blood samples.
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Telomere lengths
To obtain some insight into the in vivo growth kinetics of the
various CD4+ T cell subsets, we decided to
determine the average telomere lengths of representative cells of the
various CD4+ T cell subsets by flow cytometry
following hybridization with a FITC-labeled telomere probe (Fig. 11
A). Analysis of the
relevant cell populations from five healthy donors revealed that the
cells of all three CD45RO+ subsets had telomeres
that were significantly shorter than those of
RO- cells, although interindividual variation
was relatively large (Fig. 11
B). In addition, we found that
the telomeres of M1 and M3 subset cells were of approximately equal
length but were shorter than a typical M2 cell telomere. These findings
could well imply that the M1 and M3 subset cells are descendants of M2
subset cells.

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FIGURE 11. Flow cytometric measurement of telomere lengths in the
CD4+ T cell subset cells. A, Representative
flow histogram of telomere and background fluorescence was obtained by
hybridization with telomere and control probes, respectively, in the
CD4+ T subset cells from a healthy 37-year-old donor
(B, ). B, The means of specific
telomere fluorescence were compared among the CD4+ T cell
subsets and the CBMC from five healthy donors (age range, 3456 years)
and seven neonates, respectively. The specific telomere fluorescence of
cells was calculated by subtracting the mean background fluorescence
from the mean fluorescence obtained with the telomere probe.
Statistical significance was determined by Wilcoxon signed-rank test
(*, p < 0.05). N.S., Not significant.
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 |
Discussion
|
|---|
In this paper, we describe results that we believe make it
possible to define a number of discrete subsets in the human CD4 T cell
population using differences in CD45RO and CD43 expression levels as
phenotypic markers (see summary in Table II
). RO- T cells
expressing intermediate levels of CD43 appear to be the only
CD4+ T cells present in cord blood, and an
analysis of their other phenotypic attributes and functions clearly
indicates that they are mainly naive cells. As expected, memory T cells
are identified with the
CD4+CD45RO+ T cell
population, but we were surprised to find that even the most readily
demonstrated memory functions are unequally distributed within this
population. We define three subsets, M1, M2, and M3, among the
CD4+CD45RO+ T cell
population, and we now describe their properties.
The M1 subset appears to consist of fully matured memory T cells that
are capable of responding to conventional recall Ags and of producing
IFN-
and IL-4 in response to TCR stimulation. In LDA experiments,
PPD-reactive precursors were found to be over-represented by a factor
of
10 in the M1 population in comparison with the rest of the
CD4 T cell population. Although the M1 subset accounts for only
15%
of the total CD4 T cell population, it appears to include the vast
majority (>90%) of recall Ag-reactive T cells. Also, M1 subset cells
appear to be the only ones that are stimulated to proliferate strongly
in response to exposure to immobilized CD3 mAb without the assistance
of second signals. However, when a second stimulus is available both
IFN-
and IL-4 production levels increase very significantly, thus
highlighting the remarkable efficiency of TCR-mediated signaling in
provoking cytokine gene expression in the presence of second signals.
Moreover, given that we detected higher expression levels of adhesion
and costimulatory molecules (such as CD2, CD4, CD28, CD29, CD44, and
CD54) as well as lower levels of the lymph node homing receptor CD62L
than were detected in any of the other
CD4+CD45RO+ subsets, it
seems clear that M1 subset cells are the ones that most strongly
resemble the typical surface phenotypes that are described in the
literature for both mouse (38) and human (17)
memory T cells. We suspect that the M1 subset also includes the
so-called "effector memory" T cells that have recently been
described (18, 19, 39, 40, 41, 42), given that they can also
produce high levels of IFN-
and IL-4 and relatively low levels of
CCR7 and CD27. However, because the majority of cells in the M1 cell
population (
70%) express CCR7 or CD27, this subset may also include
the so-called "central memory" T cells.
We consider that the cells that make up the largest subset of
CD4+CD45RO+ T cells (the M2
subset) are intermediate between naive cells and M1 memory T cells and
are best described as premature memory T cells. Support for this
proposition comes from the following observations. First, the telomeres
of cells in M2 subset cells appear to be considerably longer than those
of fully matured memory M1 cells. Thus, M2 cells may actually mature
into M1 cells after an additional series of cell divisions. We now have
obtained preliminary evidence that indicates that the addition of CD3
mAb can stimulate M2 cells to proliferate while at the same time
causing a marked increase in their CD43 expression levels (our
unpublished observation). Second, there appear to be fewer recall
Ag-reactive precursor cells in M2 populations than in M1 populations.
Third, M2 cells appeared to respond only very weaklyas assessed by
both their proliferative response and their cytokine outputswhen
exposed to immobilized CD3 mAb in the absence of secondary signals.
Additional signals in the form of APC, CD28, or IL-2R enhanced the
CD3-stimulated proliferative activities of M2 cells to a level more
typical of M1 cells, perhaps indicating that their TCR-mediated cell
proliferative capacities are much more reliant on secondary signals
than those of M1 cells. Interestingly, though, it became evident that
M2 cells were able to produce only a relatively small amount of IFN-
and IL-4, regardless of the availability or otherwise of secondary
signals.
The M3 subset is the smallest of the three
CD45RO+ T subsets, and its cells are noteworthy
mainly because they seem to be both anergic and unusually prone to cell
death. They display no discernible reactivity to immobilized CD3 mAb in
the absence of costimulatory signals, even though their TCR
/CD3
expression levels are similar to those of M1 or M2 subset cells. This
seeming unresponsiveness of M3 cells to TCR stimuli could be a function
of their death proneness in culture, but because
50% of the cells
in an M3 cell population appear to be capable of surviving for 3 days
in culture in either the presence or absence of immobilized CD3 mAb
(data not shown), it seems reasonable to assume that the surviving
cells are themselves anergic. Moreover, IL-2 is capable of causing at
least partial reversion of anergy in the M3 cell population.
Stimulation of M3 subset cells with IL-2 or PMA together with
immobilized CD3 mAb also appeared to stimulate IL-4 production but not
IFN-
production. These results may indicate that the M3 subset
contains proportionately more Th2 cells than other subsets. This is
consistent with our findings from Th1/Th2 surface marker analysis. With
regard to IL-2 effects, it should be noted that more than half of the
M3 subset cells express CD25. The surface phenotypes and anergy
associated with M3 cells indicate that they have a resemblance to
previously described murine (21, 43) and human (20, 44, 45, 46, 47, 48) CD4+CD25+ T
cell populations that display regulatory activity. However, the M3
subset cells we have been studying seem to be functionally different
from these so-called regulatory T cells, if only because they did not
appear to be capable of suppressing the CD3-stimulated proliferation of
M1 and naive cells in either the presence or the absence of APC (data
not shown).
We suspect that the spontaneous apoptosis of M3 cells that we observed
is mainly mediated by a caspase-independent signal transduction
pathway, if only because only
20% of the total apoptotic activity
appeared to be sensitive to Z-VAD-fmk. Also, only almost one-third of
the annexin V+ M3 cells in a 16-h culture could
be stained with FITC-Z-VAD-fmk. Thus, it can be assumed that
spontaneous apoptosis of M3 cells is different from conventional
lymphokine withdrawal cell death, which involves activation of a
caspase (49, 50). There is already some good evidence that
both caspase-independent and nonclassical forms of apoptosis occur in
mature lymphocytes (51, 52, 53, 54) and thymocytes
(55). Interestingly, we found that spontaneous apoptosis
of M3 cells could be at least partially prevented by the addition of
IL-2. This finding is consistent with previous reports showing that
IL-2 can prevent the spontaneous cell death of resting human
CD4+CD45RO+
(56) and
CD4+CD25+ (47)
T cells, but unfortunately the caspase dependency of cell death was not
determined in either case. Therefore, we conclude that IL-2 could be
acting as a survival factor in human resting T cells that are anergic
and prone to apoptosis, probably by interfering with the signaling
pathway that leads to spontaneous apoptosis.
Treatment with Fas mAb appeared to significantly enhance killing of M3
subset T cells. Unlike spontaneous apoptosis, Fas mAb-induced apoptosis
can be completely blocked by Z-VAD-fmk and hence appears to be a
caspase-activated pathway. This may mean that a Fas-mediated caspase
activation pathway operates in M3 subset cells even in resting state,
although it is unknown whether this pathway is similar to that observed
in activation-induced cell death (50). By contrast, M1 and
M2 subset cells showed no sensitivity to Fas-mediated death despite
their ability to express Fas on their cell surfaces. A detailed
comparative study of the signaling pathways involved in spontaneous and
Fas-mediated apoptosis is necessary if we are to learn more about the
differential sensitivities of resting T cell population to cell death
signals (50).
There is some experimental evidence that indicates that CD43 takes part
in cell signaling pathways in T cells (22, 23), possibly
by helping to costimulate T cells (26, 27). Therefore, it
seems reasonable to assume that CD43 play a part in certain of the cell
signaling events that are likely to be involved in memory T cell
activation. However, recent reports suggest that CD43 molecules of T
cells may be actively excluded from the immunological synapse and that
this event is mediated by relocalization of cytoskeletal adapter
proteins that bind to CD43 (57). These suggestions led to
a proposal that movement of CD43 could modulate T cell activation by
sequestering negative regulatory proteins away from the site of TCR
signaling (58). This could mean that the up-regulated
expression of CD43 in M1 subset cells causes an increase in activation
signaling, perhaps in concert with other up-regulated costimulatory
and/or adhesion molecules. Because high-level expression of CD43
appears to protect T cell hybridoma cells against activation-induced
cell death, at least in the mouse (32), it may be that one
net effect of down-regulating CD43 expression is the sensitization of
M3 T cells to apoptotic cell death. Thus, although the precise
molecular mechanisms underlying the costimulatory and antiapoptotic
effects of CD43 remain to be determined, it seems reasonable to assume
that CD43 expression levels will prove to be important in the control
of both cell activation and cell survival processes in memory T
cells.
Based on the findings reported in this work, we will outline some of
the key events and processes that we believe are likely to be involved
in the maturation and eventual termination stages of the life span of
human CD4 memory T cells. Soon after Ag exposure, naive T cells may
undergo repeated cycles of cell division associated with the shortening
of their telomeres. Calculations based on estimated telomere length
shortening per mitosis (75 bp) (14), together with
observed differences in average telomere length between
RO- and M2 cells (
3700 bp), combine to
suggest that
50 population doublings are involved in the
transformation of stimulated T cells into cells at the premature memory
stage herein designated the M2 stage. Approximately 15 further
population doublings then appear to be required for the conversion of
M2 cells into M1-type cells, by which time they are behaving as typical
fully functioning mature memory T cells. M3 cells, by contrast, behave
more like cells that are approaching the end of their ability to
function as normal CD4 T cells. Such cells may well arise from fully
mature M1 cells, possibly when M1-type cells begin to lose some of
their key properties as they approach senescence, although it is
unclear as yet whether this type of senescence process is associated
with activation-induced or cytokine withdrawal cell death following M1
cell activation. We can also envisage circumstances in which activated
premature M2 cells with recall Ags are directly transformed into
death-prone M3-type subset cells without first having been converted
into fully mature memory M1-type cells as in the pathway outlined
above. Such a balance between the two putative pathways (M2
M1
M3
and M2
M3) could be very important element in the maintenance of CD4
memory T cell pools.
 |
Acknowledgments
|
|---|
We are grateful to Mika Yamaoka for her excellent assistance with
FACS analysis, Mika Yonezawa for manuscript preparation, and Dr. Donald
MacPhee for his valuable suggestions.
 |
Footnotes
|
|---|
1 This publication is based on research performed at the Radiation Effects Research Foundation (Hiroshima and Nagasaki, Japan). Radiation Effects Research Foundation is a private nonprofit foundation funded equally by the Japanese Ministry of Health, Labor and Welfare and the U.S. Department of Energy through the National Academy of Sciences. A part of this study was supported by funds for Research Promotion on AIDS Control from the Japanese Ministry of Health and Welfare. 
2 Current address: Life Science RD Center, Life Science Laboratories, Kaneka Corporation, Takasago-shi, Hyogo, Japan. 
3 Current address: Cellular Signal Analysis, Department of Bio-Signal Analysis, Applied Medical Engineering Science, Yamaguchi University Graduate School of Medicine, Ube City, Yamaguchi, Japan. 
4 Address correspondence and reprint requests to Dr. Seishi Kyoizumi, Laboratory of Immunology, Department of Radiobiology, Radiation Effects Research Foundation, 5-2 Hijiyama Park, Minami Ward, Hiroshima, 732-0815 Japan. E-mail address: kyoizumi{at}rerf.or.jp 
5 Abbreviations used in this paper: CBMC, cord blood mononuclear cell; PPD, purified protein derivative; TT, tetanus toxoid; IV, influenza virus; 7-AAD, 7-aminoactinomycin-D; PF, precursor frequency; LDA, limiting dilution assay; PI, propidium iodide. 
Received for publication January 28, 2002.
Accepted for publication April 23, 2002.
 |
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