Studies of chemokine receptors (CKR) in natural killer- (NK-) cells have already been published, but only a few gave detailed information on its differential expression on blood NK-cell subsets. We report on the expression of the inflammatory and homeostatic CKR on normal blood CD56(+low) CD16(+) and CD56(+high) CD16(-/+low) NK-cells. Conventional CD56(+low) and CD56(+high) NK-cells present in the normal PB do express CKR for inflammatory cytokines, although with different patterns CD56(+low) NK-cells are mainly CXCR1/CXCR2(+) and CXCR3/CCR5(-/+), whereas mostly CD56(+high) NK-cells are CXCR1/CXCR2(-) and CXCR3/CCR5(+). Both NK-cell subsets have variable CXCR4 expression and are CCR4(-) and CCR6(-). The CKR repertoire of the CD56(+low) NK-cells approaches to that of neutrophils, whereas the CKR repertoire of the CD56(+high) NK-cells mimics that of Th1(+) T cells, suggesting that these cells are prepared to migrate into inflamed tissues at different phases of the immune response. In addition, we describe a subpopulation of NK-cells with intermediate levels of CD56 expression, which we named CD56(+int) NK-cells. These NK-cells are CXCR3/CCR5(+), they have intermediate levels of expression of CD16, CD62L, CD94, and CD122, and they are CD57(-) and CD158a(-). In view of their phenotypic features, we hypothesize that they correspond to a transitional stage, between the well-known CD56(+high) and CD56(+low) NK-cells populations.
Studies of chemokine receptors (CKR) in natural killer- (NK-) cells have already been published, but only a few gave detailed information on its differential expression on blood NK-cell subsets. We report on the expression of the inflammatory and homeostatic CKR on normal blood CD56(+low) CD16(+) and CD56(+high) CD16(-/+low) NK-cells. Conventional CD56(+low) and CD56(+high) NK-cells present in the normal PB do express CKR for inflammatory cytokines, although with different patterns CD56(+low) NK-cells are mainly CXCR1/CXCR2(+) and CXCR3/CCR5(-/+), whereas mostly CD56(+high) NK-cells are CXCR1/CXCR2(-) and CXCR3/CCR5(+). Both NK-cell subsets have variable CXCR4 expression and are CCR4(-) and CCR6(-). The CKR repertoire of the CD56(+low) NK-cells approaches to that of neutrophils, whereas the CKR repertoire of the CD56(+high) NK-cells mimics that of Th1(+) T cells, suggesting that these cells are prepared to migrate into inflamed tissues at different phases of the immune response. In addition, we describe a subpopulation of NK-cells with intermediate levels of CD56 expression, which we named CD56(+int) NK-cells. These NK-cells are CXCR3/CCR5(+), they have intermediate levels of expression of CD16, CD62L, CD94, and CD122, and they are CD57(-) and CD158a(-). In view of their phenotypic features, we hypothesize that they correspond to a transitional stage, between the well-known CD56(+high) and CD56(+low) NK-cells populations.
Natural killer- (NK-) cells were originally identified by their natural ability to kill target cells and are known for a long time as effector cells of the innate immune system, with an important role in controlling several types of tumors and infections [1]. In recent years, NK-cells have also been recognized as regulatory cells, which are able to interact with other cells of the immune system, such as dendritic cells (DC), monocytes/macrophages, and T cells, thereby influencing the innate and adaptive immune responses [2-5]. The role of their interaction with neutrophils in shaping the immune response is also being increasingly documented [6, 7].The cytotoxic activity of the NK-cells is controlled by the balance between inhibitory and activating receptors, whose ligands are self-Major Histocompatibility Complex (MHC) class I molecules and molecules expressed on stressed, viral infected, and tumor cells. They comprise, among others, the killer cell immunoglobulin-like receptors (KIR), killer cell lectin type receptors (KLR), and natural cytotoxic receptors (NCR) as well as immunoglobulin Fc receptors (FcR) and complement receptors [8-10].Meanwhile, the immunoregulatory properties of the NK-cells are mediated, not only by cell-to-cell contact, but also by the soluble factors they produce, which enable them to recruit and to activate other immune cells. These include chemokines (CK), such as MIP-1α (macrophage inflammatory proteins-1 alpha, CCL3) and MIP-1β (CCL4), RANTES (regulated activation, normal T cell expressed and secreted, CCL5), and ATAC (activation-induced, T cell derived, and chemokine-related cytokine, CXCL1). They also comprise cytokines, for example, IFN-γ (interferon-gamma) and TNF-α (tumor necrosis factor alpha) and growth factors, such as GM-CSF (granulocyte-macrophage colony-stimulating factor) [11, 12].Using adhesion molecules and chemokine receptors (CKR), NK-cells are able to circulate in the blood and to distribute throughout the body, by homing into secondary lymphoid organs (e.g., lymph nodes), localizing in specific nonlymphoid organs (e.g., liver, placenta), and migrating into acute or chronic inflamed tissues, where they participate in the immune responses [13-16]. In some organs, NK-cells exhibit specific phenotypes and functions [17, 18], for example, promoting decidualization of the endometrium, embryo implantation and placenta development [19, 20], and influencing the hematopoiesis [21, 22].Two different subsets of mature CD56+ NK-cells have been described in humans, based on the levels of CD56 and CD16 expression: CD56+low CD16+ and CD56+high CD16−/+low NK-cells from now on designed CD56+high and CD56+high, respectively [23, 24]. While the former clearly predominates in the peripheral blood (PB), where they represent around 90% of the circulating CD56+ NK-cells, the latter are more represented in secondary lymphoid organs, chronically inflamed tissues and placenta [13–16, 19, 20].Apart from the different expression of CD16, the low affinity receptor for IgG (FcγRIIIA) and CD56, the neural cell adhesion molecule (NCAM), the conventional CD56+ NK-cell subsets also differ in the expression of other adhesion, homing, and costimulatory molecules as well as on the repertoires of NCR, KIR and KLR, and receptors for cytokines, chemokines, and growth factors [25-29]. In addition, these NK-cell subsets exhibit distinct sialylated forms of CD43 and posttranslational modifications of the P-selectin glycoprotein ligand-1 (PSGL-1) [30, 31].From the functional point of view, CD56+low NK-cells are essentially cytotoxic, with a greater level of antibody dependent cell mediated cytotoxicity (ADCC) [32], whereas CD56+high NK-cells have a high proliferative response to low doses of interleukin- (IL-) 2 (IL-2) and C-kit ligand [33]. In addition, the latter display a more important immunomodulatory role associated with cytokine production in response to IL-2 and monokines [33]. More recently it became apparent that upon target cell recognition, CD56+low NK-cells are more prominent cytokine and chemokine producers than CD56+high NK-cells [34]. These diverse functional properties would suggest that CD56+low and CD56+high NK-cells could be naturally prepared to act in different sites and at different phases of the immune response.The exact relationship between these NK-cell subsets still remains unclear. Some studies have shown that bone marrow progenitor cells give rise to CD56+high or CD56+low NK-cells depending on being cultured in the presence of IL-15 alone or in combination with IL-21, respectively [35, 36]. However, more recent data would favor a possible maturation relationship between these NK-cell subsets and suggest that CD56+low NK-cells originate from CD56+high NK-cells [37-42].Chemokines are small proteins that control a number of biological activities, including cell development, differentiation, tissue distribution, and function [43]. They act by binding chemokine receptors (CKR), a family of seven-transmembrane proteins that are classified by structure according to the number and spacing of conserved cysteines into four major groups given the names CXCR, CCR, CX3CR, and XCR to which four groups of CK correspond: CXCL, CCL, CL, and CX3CL [44]. In addition, CXCL chemokines have been further subclassified into glutamic acid-leucine-arginine tripeptide (ELR) positive or negative, based on the presence or absence of the ELR motif N-terminal to the first cysteine. From a functional point of view, two distinct types of CK have been considered: inflammatory/inducible CK, which are regulated by proinflammatory stimuli and dictate migration to the inflamed tissues and homeostatic/constitutive CK, which are responsible for the homing of the immune cells to the lymphoid organs and tissues. Similarly, two distinct groups of CKR have been described: those that interact mainly with inflammatory/inducible CK and have overlapping specificities and those that are relatively specific for homeostatic/constitutive CK [43, 44].To the best of our knowledge only a few studies analyzed in detail the CKR repertoire on CD56+low and CD56+high NK-cells and the results obtained were somewhat divergent [45, 46]. For instance, Campbell et al. have found that CD56+/CD16+ (primarily CD56+low) NK-cells uniformly express high levels of CXCR1, CXCR4, and CX3CR1 and low levels of CXCR2 and CXCR3 but no CCR1–6, CCR9, CXCR5, and CXCR6; they also found that CD56+/CD16− (primarily CD56+high) NK-cells do express CXCR3, CXCR4, CCR5, and very low levels of CX3CR1, but no CXCR1, CXCR2, CXCR5, CCR1–4, 6, and 9 [45]. In contrast, Berahovich et al. observed that NK-cells are CXCR1+, CXCR3+, and CXCR4+ and contain subsets expressing CCR1, CCR4, CCR5, CCR6, CCR9, CXCR5, and CXCR6 [46]; according to their work, with the exception of CCR4, these CKR are expressed at higher percentages by CD56+high NK-cells [46]. Additionally, both authors have found CCR7 to be restricted to CD56+high NK-cells, which has been proved to regulate its selective homing into the lymph nodes (LN) [47, 48], where these cells establish the link between innate and adaptive immunity [47, 48].We have previously characterized the immunophenotype of blood CD56+low and CD56+high NK-cells [29]. In order to better understand the migration pathways and cell-interactions of these NK-cell subsets and to establish the normal reference patterns for the study of the NK-cell lymphoproliferative disorders, we decided to investigate the expression of a number of CKR on these NK-cell subsets. At some point in our study, we found that blood CD56+ NK-cells include a minor population of CXCR3/CCR5+ NK-cells whose levels of CD56 expression are intermediate between those observed on CD56+low and CD56+high NK-cells, most of which are CD16+. These cells, from now on referred to as CD56+int NK-cells, fail to display CD57 and KIR, and they have intermediate levels of CD62L, CD94, and CD122 expression. Based on the results presented herein and on the published data, we discuss the migration routes of the conventional CD56+high and CD56+low NK-cells and their relevance for the success of the immune response and hypothesize that CD56+int NK-cells probably represent a transitional NK-cell state.
2. Material and Methods
2.1. Subjects
We first analyzed by flow cytometry the expression of a number of CKR on the CD56+ NK-cells in the PB of 15 adult healthy individuals (blood donors), 9 males and 6 females, aged from 19 to 54 years (median age of 38 years). After suspecting the existence of a subpopulation of CD56+int NK-cells, these cells were further characterized using another group of 13 adult healthy individuals (blood donors), 8 males and 5 females, aged from 20 to 64 years (median age of 40 years).
2.2. Ethical Statement
This study was approved by the Ethical Committee as part of a research project aimed to characterize the CKR on normal and neoplastic T cells and NK-cells in order to better understand the biology of the T cell and NK-cell lymphoproliferative disorders. All individuals gave informed consent to participate in the study.
2.3. Flow Cytometry Studies
Immunophenotyping was performed using a whole blood stain-lyse-and-then-wash direct immunofluorescence technique using FACS lysing solution (Becton Dickinson, San José, CA) (BD) for erythrocyte lysis and cell fixation and four-color stainings with monoclonal antibodies (mAbs) conjugated with fluorescein isothiocyanate (FITC), phycoerythrin (PE), PE-Cyanine 5 (PC5) or peridinin chlorophyll protein (PerCP), and allophycocyanin (APC). These were purchased to BD, Pharmingen (PH; San Diego, CA), Beckman Coulter (BC; Miami, FL), Immunotech (IOT; Marseille, France), and CLB (Amsterdam, Netherlands). Appropriate fluorochrome-conjugated isotype matched mAbs were used as negative controls.In order to characterize the CKR expression on the conventional CD56+low and CD56+high NK-cell subsets, APC-conjugated anti-CD3 (BD; mouseIgG1,κ; clone SK7), PC5-conjugated anti-CD56 (IOT; mouseIgG1,κ; clone N901/NKH-1), and FITC-conjugated anti-CD16 (IOT; mouseIgG1,κ; clone 3G8) mAbs were used in combination with PE-conjugated mAbs directed against the following CKR (PH): CXCR1 (CD181) (mouse IgG2b,κ; clone 5A12), CXCR2 (CD182) (mouseIgG1,κ; clone 6C6), CXCR3 (CD183) (mouseIgG1,κ; clone 1C6), CCR4 (CD194) (mouseIgG1,κ; clone 1G1), CCR5 (CD195) (mouseIgG2a,κ; clone 2D7/CCR5), and CCR6 (CD196) (mouseIgG1,κ; clone 11A9).Subsequently, CD56+int NK-cells (which, in most of the normal PB samples, cannot be distinguished from the conventional CD56+low or CD56+high NK-cells using the staining protocol mentioned above) were further characterized using APC-conjugated anti-CD3, PC5-conjugated anti-CD56, PE-conjugated anti-CXCR3 + PE-conjugated anti-CCR5, and one of the following FITC-conjugated mAbs directed against these molecules: anti-CD16 (IOT; mouseIgG1,κ; clone 3G8), anti-CD57 (BD; mouse IgM,κ; clone HNK-1), anti-CD62L (BD; mouseIgG2a,κ; clone SK11), anti-CD94 (PH; mouseIgG1,κ; clone HP-3D9), anti-CD122 (CLB; mouseIgG2a,κ; clone MIK-b1), and anti-CD158a (BD; mouse IgM,κ; clone HP-3E4).Data acquisition was carried out in a FACSCalibur flow cytometer (BD) equipped with a 15 mW air-cooled 488 nm argon ion laser and a 625 nm neon diode laser, using the CellQUEST software (BD). Information on a minimum of 2 × 105 events was acquired and stored as FCS 2.0 data files for each staining. For data analysis the Paint-a-Gate PRO (BD) and the Infinicyt (Cytognos, Salamanca, Spain) software programs were used.Using the first staining protocol, NK-cells were first gated based on their CD3−/CD56+ phenotype; then, the conventional CD56+low and CD56+high NK-cell subsets were selected based on their levels of CD56 expression and on their differential positivity for CD16 and separately analyzed for the expression of CXCR1, CXCR2, CXCR3, CCR4, CCR5, and CCR6. Using the second staining protocol, in which the anti-CXCR3 and CCR5 mAbs used have the same fluorochrome, we were able to distinguish three populations of CD56+ NK-cells: CD56+low CXCR3/CCR5−, CD56+int CXCR3/CR5+, and CD56+high CXCR3/CR5+. These were separately analyzed for the expression of CD16, CD56, CD57, CD62L, CD94, CD158a, and CD122.The percentage of positive cells, the mean fluorescence intensity (MFI, expressed as arbitrary relative linear units scaled from 0 to 10,000), and the coefficient of variation of the MFI (CV, expressed as percentage) were recorded for each molecule tested.
2.4. Statistical Analysis
For all quantitative variables under study, mean, standard deviation, median, and range values were calculated. The statistical significance of the differences observed between groups was evaluated using the Mann-Whitney U-test (SPSS 10.0, SPSS, Chicago, IL, USA). P values less than 0.05 were considered to be associated with statistical significance.
3. Results
3.1. Chemokine Receptors on Blood CD56+low and CD56+high NK-Cells
Conventional CD56+low and CD56+high NK-cells present in the normal PB have different CKR repertoires (Figure 1 and Table 1).
Figure 1
Representative dot plots illustrating the expression of different chemokine receptors (CKR) on the conventional CD56+low (red dots) and CD56+high (blue dots) NK-cell subsets present in the normal peripheral blood (PB). In order to obtain the dot plots showed in this figure, PB cells were stained with APC-conjugated anti-CD3, PC5-conjugated anti-CD56, PE-conjugated anti-CKR, and FITC-conjugated anti-CD16 monoclonal antibodies. Dot plots in the first row illustrate the strategy of gating. Using the CD3/CD56 dot plot, CD56+ NK-cells were first identified based on their CD3−/CD56+ phenotype (black dots), comparatively to T (CD3+) and B (CD3−CD56−) cells (gray dots). Then, after gating for CD56+ NK-cells (first CD56/CD16 dot plot), the CD56+low (red dots) and CD56+high (blue dots) NK-cell populations were identified based on their typical patterns of CD56 and CD16 expression (second CD56/CD16 dot plot). Finally, these NK-cell populations were analyzed for the expression of the CKR (CKR/CD56 dot plots). The numbers above the CD56+low and CD56+high NK-cells inside the CKR/CD56 dot plots indicate the percentage of cells staining positively for the correspondent CKR and were obtained after gating separately for each NK-cell population (CKR/CD56 dot plots gated for CD56+low and CD56+high NK-cells are not shown, for simplicity).
Table 1
Chemokine receptor expression on the well-known CD56+low and CD56+high NK-cells observed in blood, as identified based only on the levels of CD56 and CD16 expression.
CD56+low NK-cells
CD56+high NK-cells
P values
CXCR1
% (+) cells
93.0 ± 4.5
(85.3–99.6)
4.0 ± 3.6
(0.0–12.1)
<0.001
MFI
100.1 ± 19.4
(79.3–140.9)
7.0 ± 3.1
(2.0–14.5)
<0.001
CV
67.1 ± 23.6
(51.5–145.3)
156.8 ± 76.2
(75.3–329.7)
<0.001
CXCR2
% (+) cells
91.9 ± 3.4
(86.1–97.0)
2.0 ± 1.4
(0.0–4.7)
<0.001
MFI
165.7 ± 68.6
(66.9–264.1)
3.6 ± 1.5
(2.2–6.8)
<0.001
CV
64.1 ± 8.7
(48.5–78.6)
218.1 ± 131.4
(82.7–568.9)
<0.001
CXCR3
% (+) cells
15.6 ± 11.1
(4.8–40.1)
97.0 ± 2.5
(92.5–99.6)
<0.001
MFI
15.5 ± 10.7
(6.5–41.6)
94.5 ± 55.1
(48.7–231.1)
<0.001
CV
209.8 ± 62.9
(145.1–403.4)
62.7 ± 8.1
(49.6–75.3)
<0.001
CXCR4
% (+) cells
21.8 ± 8.7
(8.4–43.5)
11.4 ± 4.6
(5.5–21.4)
<0.001
MFI
11.8 ± 3.9
(5.3–20.9)
7.8 ± 3.1
(3.6–14.0)
n.s.
CV
308.5 ± 89.8
(182.6–492.8)
318.6 ± 98.8
(184.4–581.1)
n.s.
CCR4
% (+) cells
0.8 ± 0.4
(0.2–1.5)
3.3 ± 2.9
(0.3–9.7)
<0.05
MFI
2.2 ± 0.6
(1.3–3.0)
3.1 ± 1.1
(1.5–4.4)
n.s.
CV
393.3 ± 195.1
(138.1–677.6)
118.7 ± 107.2
(59.1–417.3)
0.01
CCR5
% (+) cells
13.3 ± 8.8
(2.8–33.2)
50.0 ± 15.3
(24.8–78.5)
<0.001
MFI
11.1 ± 6.0
(3.5–20.6)
27.8 ± 18.6
(7.7–79.9)
<0.01
CV
353.5 ± 92.8
(194.8–492.5)
133.9 ± 28.1
(96.7–192.4)
<0.001
CCR6
% (+) cells
0.6 ± 0.4
(0.1–1.3)
0.9 ± 1.2
(0.0–3.0)
n.s.
MFI
2.3 ± 0.7
(1.5–3.9)
2.1 ± 0.8
(1.4–4.0)
n.s.
CV
214.7 ± 126.1
(61.4–432.8)
106.7 ± 73.5
(46.2–272.3)
n.s.
Data were obtained using the gating and analysis strategies described in Figure 1, where representative dot plots of these two conventional NK-cell subsets are presented.
Results are expressed as mean ± standard deviation (minimum–maximum) of the percentage of cells expressing each of the chemokine receptors analyzed within each CD56+ NK-cell population as well as mean ± standard deviation (minimum–maximum) of the mean fluorescence intensity (MFI) and coefficient of variation (CV) of expression.
n.s.: not statistically significant.
3.1.1. Chemokine Receptors on Conventional CD56+low NK-Cells
Most CD56+low NK-cells are CXCR1/CXCR2+; that is, the majority expresses high levels of CXCR1 (93.0 ± 4.5%) and CXCR2 (91.9 ± 3.4%), whose ligands are CXCL8 (IL-8) and other ELR motif containing chemokines involved in inflammation and angiogenesis [49] (Table 1 and Figure 1). In addition, these NK-cells are CXCR3/CCR5−/+, which means that a variable proportion of them have low levels of CXCR3 and/or CCR5 (15.6 ± 11.1% and 13.3 ± 8.8%, resp.) (Table 1 and Figure 1). CXCR3 binds IFN-γ inducible cytokines, such as CXCL9 (monokine induced by gamma-interferon, MIG), CXCL10 (interferon-induced protein of 10 kD, IP-10), and CXCL11 (interferon-inducible T cell alpha chemoattractant, I-TAC) and mediates Ca++ mobilization and chemotaxis [50-52]. On the other hand, CCR5 has affinity to CCL3 (MIP-1α), CCL4 (MIP-1β), CCL5 (RANTES), and CCL8 (monocyte chemotactic protein-2, MCP-2) [53, 54].Concerning the expression of constitutive/homeostatic CKR and the fraction of CD56+low NK-cells that expresses CXCR4, a CKR present on most hematopoietic cell types that binds to CXCL12 (stromal cell derived factor type 1, SDF-1) [55, 56] and has been shown to play a pivotal role in hematopoiesis [57] is variable (21.8 ± 8.7%) (Table 1 and Figure 1). In contrast, CCR4 is expressed in only a very small percentage of the CD56+low NK-cells (0.8 ± 0.4%) (Table 1 and Figure 1). This CKR has been reported to be a marker for T helper 2 (Th2) lymphocytes [58] and promotes homing of memory T cells to inflamed skin [59] by means of interaction with CCL17 (thymus and activation-regulated chemokine, TARC) and CCL22 (macrophage-derived chemokine, MDC) [60, 61]. Similar results were obtained for CCR6, which is expressed in only 0.6 ± 0.4% of the CD56+low NK-cells (Table 1). This CKR mediates responsiveness of memory T cells to CCL3 (MIP-1α) [62] and CCL20 (liver- and activation-regulated chemokine, LARC) [63] and has also been implicated in the homing of Langerhans' cells to the epidermis [64].
3.1.2. Chemokine Receptors on Conventional CD56+high NK-Cells
In contrast to CD56+low NK-cells, the majority of the CD56+high NK-cells are CXCR1/CXCR2− and CXCR3+; that is, most of CD56+high NK-cells express high levels of CXCR3 (96.9 ± 2.5%) whereas only a few are CXCR1+ (4.0 ± 3.6%) or CXCR2+ (2.0 ± 1.4%), and a large fraction of them (50.0 ± 15.3%) is CCR5+ (Table 1 and Figure 1).Constitutive/homeostatic CKR are also present in CD56+high NK-cells, with a variable fraction of them expressing CXCR4 (11.4 ± 4.6%) and only a few being CCR4+ (3.3 ± 2.9%) and CCR6+ (0.9 ± 1.2%, resp.) (Table 1 and Figure 1).
3.2. Identification of a New CD56+int NK-Cell Population in the Peripheral Blood
When analyzing the conventional CD56+ NK-cell subsets, we observed that the percentage of CD56+low NK-cells staining for CCR5 correlated positively with the percentage of CD56+low NK-cells staining for CXCR3 (r = 0.656; P = 0.01). In addition, we found that CCR5+ and CXCR+ CD56+low NK-cells had higher levels of CD56 and lower levels of CD16, as compared to CCR5− (P = 0.001 and P = 0.05, resp.) and CXCR3− (P = 0.003 and P = 0.002, resp.) CD56+low counterparts. These observations allow us to investigate if CD56+low cells expressing CCR5 and/or CXCR3 could represent a specific stage in NK-cell differentiation. In accordance, using another staining protocol in which anti-CXCR3 and anti-CCR5 mAbs had the same fluorochrome, we were able to identify three NK-cell populations in the normal PB, based on the expression of CD56, CD16, and the chemokine receptors CXCR3 and/or CCR5 (Figure 2): CD56+low CD16+ CCR5/CXCR3− (or simply CD56+low), CD56+int CD16+/− CCR5/CXCR3+ (or simply CD56+int), and CD56+high CD16−/+low CCR5/CXCR3+ (or simply CD56+high) NK-cells.
Figure 2
Representative dot plots (a) and histograms (b) illustrating the expression of the CD3, CD16, CD56, CD57, CD62L, CD94, CD122, and CD158a molecules on CD56+low CXCR3/CCR5− (red dots), CD56+int CXCR3/CCR5+ (green dots), and CD56+high CXCR3/CCR5+ (blue dots) NK-cells in normal peripheral blood (PB). In order to obtain the dot plots showed in this figure, PB cells were stained with APC-conjugated anti-CD3, PC5-conjugated anti-CD56, PE-conjugated anti-CXCR3 + PE-conjugated anti-CCR5, and FITC-conjugated monoclonal antibodies against CD16, CD57, CD62L, CD94, CD122, or CD158a molecules. Total CD56+ cells were gated using the strategy illustrated in Figure 1. Then, using the CD56/CCR5 + CXCR3 dot plot (first dot plot), three different CD56+ NK-cell populations were identified based on the levels of expression of CD56 and CXCR3/CCR5: CD56+low CCR5/CXCR3− (red dots), CD56+int CCR5/CXCR3+ (green dots), and CD56+high CCR5/CXCR3+ (blue dots). As it can be seen in the remaining dot plots and histograms, these NK-cell populations differ on the expression of several cell surface molecules. The percentage of cells staining positively for each molecule analyzed, as well as the mean fluorescence intensity of antigen expression and its coefficient of variation, was calculated after gating separately for each NK-cell population and is shown in Table 1 (data is not shown in the figure, for simplicity).
In the normal PB, CD56+low NK-cells correspond to the majority (mean of 90 ± 4%) of CD56+ NK-cells, whereas the CD56+int and CD56+high NK-cells are minimally represented (mean of 6 ± 4% and 4 ± 2%, resp.) (Table 2).
Table 2
Relative representation and light scatter properties of blood CD56+low CCR5/CXCR3−, CD56+int CCR5/CXCR3+, and CD56+high CCR5/CXCR3+ NK-cell subsets.
A
B
C
P values
CD56+lowCCR5/CXCR3−
CD56+intCCR5/CXCR3+
CD56+highCCR5/CXCR3+
A versus B
B versus C
A versus C
% CD56+ NK-cells
90.3 ± 3.9
(83.4–98.0)
6.1 ± 4.0
(1.2–14.6)
3.7 ± 2.3
(0.9–8.5)
—
—
—
FSC
299 ± 9
(285–315)
303 ± 10
(284–320)
311 ± 11
(291–324)
n.s.
0.044
0.041
tSSC
151 ± 7
(140–163)
156 ± 7
(141–170)
159 ± 5
(147–168)
n.s.
n.s.
n.s.
Data were obtained using the gating and analysis strategies described in Figure 2, where representative dot plots of these three NK-cell subsets are presented.
Results are expressed as mean ± standard deviation (minimum–maximum) of the percentage of each NK-cell subset within total CD56+ NK-cells and as mean ± standard deviation (minimum–maximum) of the transformed side scatter (tSSC) and forward scatter (FSC) channel of each NK-cell subset.
n.s.: not statistically significant.
Despite representing a minor NK-cell population in most normal PB samples, CD56+int NK-cells are largely expanded in some patients with chronic lymphoproliferative disorders of NK-cells (CLPD-NK) (Figure 3).
Figure 3
Illustrative dot plots showing the expression of the CXCR1, CXCR2, CXCR3, and CCR5 chemokine receptors (CKR) in normal peripheral blood (PB) (a), where only CD56+low (red dots) and CD56+high (blue dots) are observed, and in the PB of a patient with a chronic lymphoproliferative disorder of NK-cells (CLPD-NK) (b), exhibiting a transitional CD56+int phenotype (green dots); other lymphocytes are shown in gray. In order to obtain the dot plots showed in this figure, the PB cells were stained with APC-conjugated anti-CD3, PC5-conjugated anti-CD56, PE-conjugated anti-CKR (CXCR1, CXCR2, CXCR3, or CCR5), and FITC-conjugated anti-CD16 monoclonal antibodies. As shown in (a), in the normal PB most CD56+low NK-cells are CXCR1+ and CXCR2+, whereas only a very small fraction of cells stains positively for CXCR3 and/or CCR5; in contrast, most CD56+high NK-cells are CXCR3+ whereas CCR5 is expressed in only a fraction and CXCR1 and CXCR2 are virtually negative. As it can be seen in (b), the expanded NK-cells from this patient, which have relatively high levels of CD56 expression, are CD16+ and they express the CXCR1, CXCR2, CXCR3, and CCR5 molecules in a considerable fraction of cells.
No differences were observed between these three NK-cell subsets concerning both the cell size and complexity, as evaluated by the forward (FSC) and side light scatter (SSC), respectively, except for a slightly larger size of CD56+high NK-cells (Table 2). Nonetheless, statistically significant differences were found concerning the expression of CD56 and CD16 (Figure 2 and Table 3) as well as of the other adhesion molecules and homing, cytokine, and killer cell receptors analyzed (Figure 2 and Table 4).
Table 3
CD56 and CD16 expression on blood CD56+low CCR5/CXCR3−, CD56+int CCR5/CXCR3+, and CD56+high CCR5/CXCR3+ NK-cell subsets.
A
B
C
P values
CD56+low CCR5/CXCR3−
CD56+int CCR5/CXCR3+
CD56+high CCR5/CXCR3+
A versus B
B versus C
A versus C
CD56
% (+) cells
100.0 ± 0.0
(100.0-100.0)
100.0 ± 0.0
(100.0-100.0)
100.0 ± 0.0
(100.0-100.0)
—
—
—
MFI
466 ± 108
(303–623)
615 ± 149
(416–999)
2926 ± 578
(2161–3993)
0.022
<0.001
<0.001
CV
57 ± 7
(41–66)
72 ± 11
(53–93)
37 ± 5
(27–48)
0.001
<0.001
<0.001
CD16
% (+) cells
99.9 ± 0.1
(99.9–100.0)
64.6 ± 23.6
(26.8–96.2)
28.7 ± 9.9
(9.9–43.5)
<0.001
<0.001
<0.001
MFI
226 ± 107
(55–372)
84 ± 55
(25–201)
47 ± 18
(21–47)
0.001
0.026
<0.001
CV
45 ± 5
(38–55)
79 ± 21
(45–122)
81 ± 21
(44–118)
<0.001
n.s.
<0.001
Data were obtained using the gating and analysis strategies described in Figure 2, where representative dot plots of these three NK-cell subsets are presented.
Results are expressed as mean ± standard deviation (minimum–maximum) of the percentage of positive (+) cells within each CD56+ NK-cell population and of the mean fluorescence intensity (MFI) and coefficient of variation (CV) of CD16 and CD56 expression.
n.s.: not statistically significant.
Table 4
CD57, CD62L, CD94, CD122, and CD158a expression on peripheral blood CD56+low CCR5/CXCR3−, CD56+int CCR5/CXCR3+, and CD56+high CCR5/CXCR3+ NK-cell subsets.
A
B
C
P values
CD56+low CCR5/CXCR3−
CD56+int CCR5/CXCR3+
CD56+high CCR5/CXCR3+
A versus B
B versus C
A versus C
CD57
% (+) cells
66.3 ± 15.6
(36.7–87.4)
15.3 ± 13.7
(1.7–42.7)
1.3 ± 1.4
(0.0–4.3)
<0.001
<0.001
<0.001
MFI
700 ± 436
(217–1557)
355 ± 166
(150–703)
165 ± 219
(9–574)
0.018
0.015
<0.001
CV
114 ± 34
(77–194)
130 ± 35
(80–205)
85 ± 54
(6–155)
n.s.
n.s.
n.s.
CD62L
% (+) cells
35.4 ± 20.4
(9.6–73.5)
77.3 ± 19.0
(41.9–95.7)
97.3 ± 2.4
(92.8–100.0)
<0.001
<0.001
<0.001
MFI
49 ± 9
(38–65)
119 ± 21
(77–147)
139 ± 30
(91–172)
<0.001
0.057
<0.001
CV
83 ± 11
(72–109)
56 ± 7
(46–71)
47 ± 9
(35–69)
<0.001
0.010
<0.001
CD94
% (+) cells
47.8 ± 13.7
(34.1–74.1)
91.4 ± 6.0
(79.2–98.4)
98.3 ± 1.5
(94.5–100.0)
<0.001
<0.001
<0.001
MFI
71 ± 18
(50–106)
129 ± 34
(77–211)
228 ± 34
(175–286)
<0.001
<0.001
<0.001
CV
56 ± 7
(44–69)
56 ± 11
(41–85)
47 ± 8
(31–56)
n.s.
0.039
0.039
CD122
% (+) cells
100.0 ± 0.0
(100.0-100.0)
100.0 ± 0.0
(100.0-100.0)
100.0 ± 0.0
(100.0-100.0)
n.s.
n.s.
n.s.
MFI
46 ± 11
(31–63)
77 ± 20
(49–107)
117 ± 32
(79–182)
<0.001
0.001
<0.001
CV
50 ± 12
(35–72)
56 ± 9
(43–79)
46 ± 5
(34–54)
n.s.
<0.001
<0.001
CD158a
% (+) cells
38.9 ± 30.0
(7.9–92.9)
9.9 ± 9.0
(0.7–30.0)
4.1 ± 4.9
(0.1–19.3)
0.001
0.030
<0.001
MFI
30 ± 8
(18–42)
35 ± 11
(22–57)
41 ± 13
(20–68)
n.s.
n.s.
n.s.
CV
61 ± 21
(27–98)
63 ± 20
(31–96)
69 ± 29
(35–126)
n.s.
n.s.
n.s.
Data were obtained using the gating and analysis strategies described in Figure 2, where representative dot plots of these three NK-cell subsets are presented.
Results are expressed as mean ± standard deviation (minimum–maximum) of the percentage of positive (+) cells within each CD56+ NK-cell population, and as the mean fluorescence intensity (MFI) and coefficient of variation (CV) of CD57, CD62L, CD94, CD122, and CD158a expression in cells that stained positively for these antigens.
n.s.: not statistically significant.
3.2.1. Phenotypic Characterization of Blood CD56+int NK-Cells
CD56+int NK-cells do express CD56 at levels that are intermediate between those observed on CD56+low and CD56+high NK-cells (MFI of 615 ± 149, 466 ± 108, and 2926 ± 578, resp.) (Figure 2 and Table 3). They also have intermediate percentages of CD16+ cells (64.6 ± 23.6%), as compared to CD56+low and CD56+high NK-cells (99.9 ± 0.1% and 28.7 ± 9.9%, resp.). In addition, the levels of CD16 expression (MFI of 84 ± 55) were in between those observed on CD56+low and CD56+high NK-cells (MFI of 226 ± 107 and 47 ± 18, resp.).These three CD56+ NK-cell subsets also differ in the expression of other molecules (Figure 2 and Table 4).Concerning the KLR, only a fraction of CD56+low (47.8 ± 13.7%) expresses dimly CD94, whereas nearly all CD56+int (91.4 ± 6.0%) and CD56+high (98.3 ± 1.5%) are CD94+ (Figure 2 and Table 4). Curiously, the levels of CD94 expression on CD56+int NK-cells are in between those observed on CD56+low and CD56+high NK-cells (MFI of 129 ± 34, 71 ± 18, and 228 ± 34, resp.).With respect to the expression of KIR, an opposite pattern is observed. Indeed, a variable fraction of CD56+low NK-cells is CD158a+ (38.9 ± 30.0%), in contrast to that found in CD56+int and CD56+high NK-cells, which are basically CD158a− (mean percentage of CD158a− cells of 9.9 ± 9.0% and 4.1 ± 4.9%, resp.) (Figure 2 and Table 4).Regarding cell adhesion molecules, the percentage of CD62L+ cells is significantly lower among CD56+low (35.4 ± 20.4%), as compared to CD56+high NK-cells (97.3 ± 2.4%), intermediate values being observed in the CD56+int NK-cells (77.3 ± 19.0%). Similar results were obtained for the levels of CD62L expression (MFI of 49 ± 9, 119 ± 21, and 139 ± 30, resp.). In addition, a large fraction of CD56+low NK-cells (66.3 ± 15.6%) expresses variably and heterogeneously the CD57 oligosaccharide, whereas most CD56+int NK-cells fail to express this molecule and CD56+high NK-cells are virtually CD57− (mean % of CD57+ cells of 15.3 ± 13.7% and 1.3 ± 1.4%, resp.). Once again, the levels of CD57 expression on CD56+int NK-cells (MFI of 355 ± 166) were in between those observed on CD56+low (MFI of 700 ± 436) and CD56+high NK-cells (MFI of 165 ± 219).The low affinity receptor for IL-2 and CD122, which is present in virtually all NK-cells, also exhibit intermediate levels on CD56+int cells (MFI of 77 ± 20), as compared to CD56+low (MFI of 46 ± 11) and to CD56+high (MFI of 117 ± 32) NK-cells (Figure 2 and Table 4).
4. Discussion
In the present study we show that CD56+low and CD56+high NK-cells that circulate in the normal blood have typical and quite different patterns of expression of receptors for inflammatory chemokines. At the same time, we identify and describe a subpopulation of CD56+int NK-cells that could represent a transitional stage in between the conventional NK-cell subsets referred to above, based on their intermediate levels of CD56 and CD16 expression and on their patterns of chemokine (CXCR3, CCR5), cytokine (CD122), and killer cell (CD94, CD158a) receptors and adhesion molecules (CD62L, CD57).Differences on the CKR repertoires make the NK-cell subsets naturally able to circulate in the blood, to home into secondary lymphoid organs, or to migrate into inflamed tissues, in different circumstances and with different partners (Figure 4), in response to constitutive and inflammatory chemokines (Table 5).
Figure 4
Diagram illustrating the complex relationship established between NK-cells and the other cells of the innate-dendritic cells (DC), monocytes, macrophages, neutrophils, and adaptive (T cells) immune system, whose homing to lymphoid organs and recruitment to inflamed tissues are mediated by the interaction of homeostatic chemokines constitutively expressed on locally resident cells and inflammatory chemokines, with the correspondent chemokine receptors. CCR7 expression on CD56+high NK-cells, mature DC, and naïve T cells allows these cells to migrate into the lymph nodes, in response to CCL19 (ELC) and CCL21 (SLC) produced locally. CXCR3/CCR5 expression on CD56+high NK-cells permits these cells to migrate into inflamed tissues, together with CCR5+ proinflammatory monocytes, CCR5/CXCR3+ Th1 cells, and CCR5/CXCR3+ cytotoxic T lymphocytes (CTL). CXCR1/CXCR2 expression on CD56+low NK-cells, neutrophils, and CTL permits these cells to migrate into inflamed tissues in response to CXCL8 (IL-8), where they interact together and with activated macrophages. CD56+int NK-cells are transitional NK-cells, whose properties are intermediate between those of CD56+high and CD56+low NK-cells. Dashed arrows indicate the routes of differentiation. Full arrows indicate the cross-talk between cells mediated by cytokines and chemokines. CCR7 ligands: CCL-19 (ELC) and CCL21 (SLC); CCR5 ligands: CCL3 (MIP-1α), CCL4 (MIP-1β), CCL5 (RANTES), and CCL8 (MCP-2); CXCR3 ligands: CXCL9 (MIG), CXCL10 (IP-10), and CXCL11 (I-TAC); CXCL1 ligands: CXCL-8 (IL-8); CXCL2 ligands: CXCL-8 (IL-8) and other ELR motif containing CXCL chemokine; CXCR4 ligand: CXCL12 (SDF-1); CCR1 ligands: CCL3 (MIP-1α), CCL5 (RANTES), MCP-2, and MCP-3; CCR2 ligands: CCL2 (MCP-1), CCL8 (MCP-2), CCL7 (MCP-3), and CCL13 (MCP-4).
Table 5
Homeostatic and inflammatory chemokines (CK) and chemokine receptors (CKR) involved in cell mediated immune responses and their relevance for colocalization of the NK-cell subsets with other cells of the innate-dendritic cells (DC), monocytes, neutrophils, and adaptive (T cells) immune system. Colocalization of CD56+high, CD56+int, and CD56+high NK-cells with other immune cells is signaled in blue, green, and red, respectively. Black squares inside the cells indicate positive interactions of the CK and the CKR as well as the CKR expressing cells. CD56+int NK-cells are transitional NK-cells, whose properties are intermediate between those of CD56+high and CD56+low NK-cells. CD56+high and CD56+low NK-cells are both able to produce cytokines and chemokines, upon stimulation with monokines and target cell recognition, respectively. The CK produced by NK-cells (e.g., MIP-1α, MIP-1β, and RANTES) not only attracted proinflammatory monocytes (via CCR1 and CCR5), immature myeloid DC (via CCR1 and CCR5), Th1 cells, and CTL (via CCR5) but also activated neutrophils (via CCR1) to the sites of inflammation. The cytokines produced by the NK-cells (e.g., IFN-γ, TNF-α) activate monocytes, DC, neutrophils, and Th1/CTL, thereby potentiating the cell mediated immune responses. For instance, activated monocytes/DC are able to produce IFN-γ inducible cytokines—CXCL9 (MIG), CXCL10 (IP-10), and CXCL11 (I-TAC), which recruit more CXCR3 expressing cells (CD56+high NK-cells, Th1 cells, and CTL). In addition, CXCL8 (IL-8) produced in inflamed tissues by locally resident activated cells, such as macrophages, epithelial cells, and endothelial cells, recruits neutrophils, CD56+low NK-cells, and CTL, via interaction with CXCL1 and CXCL2.
Chemokine receptors expressed
Chemokines produced
Chemokine receptor expressing
Inflammatory (inducible)
Homeostatic (constitutive)
NK-cells
Other cells involved in cell mediated immune responses
CCL-3 (MIP-1α)
CCL-4 (MIP-1β)
CCL-5 (RANTES)
CCL2 (MCP-1)
CCL8 (MCP-2)
CCL7 (MCP-3)
CCL13 (MCP-4)
CCL20 (LARC)
CXCL10 (IP-10)
CXCL9 (MIG)
CXCL11 (I-TAC)
CCL22 (MDC)
CCL17 (TARC)
CXCL8 (IL-8)
CXCL1 (GRO-α)
CCL19 (ELC)
CCL21 (SLC)
CXCL12 (SDF-1)
NK CD56+high
NK CD56+int
NK CD56+low
Immature mDC
Mature myeloid DC
Conventional monocytes (CD16−)
Proinflammatory monocytes (CD16+)
Naive T cells
Th1 T cells
Cytotoxic T Lymphocytes
Neutrophils
CCR1
■
■
■
■
■
■
■
□
□
CCR2
■
■
■
■
■
■
■
CCR5
■
■
■
CCR6
■
□
CXCR1
■
CXCR2
■
■
CXCR3
■
■
■
CCR4
■
■
■
CCR7
■
■
CXCR4
■
■
■
■
■
■
■
■
□
In accordance, the majority of CD56+high NK-cells are CXCR3/CCR5+, a pattern of CKR expression that is typically observed in Th1 cells [65], while CD56+low NK-cells do express CXCR1 and CXCR2, the only CKR specific for the ELR+ CXCL chemokines involved in inflammation, thus mimicking neutrophils [66, 67]. In addition, both NK-cell subsets have variable levels of CXCR4 and virtually no CCR4 and CCR6 expression.CD56+high NK-cells and Th1 cells, the primary cell populations responsible for IL-2, IFN-γ, and TNF-α production in response to IL-2 or certain monokines, such as IL-12 and IL-15, are attracted together to chronically inflamed tissues in response to CCR5 (MIP-1α, MIP-1β, RANTES, and MCP-2) and CXCR3 (MIG, IP-10, and I-TAC) chemokine ligands, where they orchestrate the adaptive immune response. Some of these CK, such as RANTES and MIP-1α, also attract proinflammatory CD14+low CD16+ monocytes, by acting as ligands for CCR1 and CCR4, as well as for CCR5 [68].In agreement, CD56+high NK-cells accumulate within Th1-type chronic inflammatory lesions in a wide variety of pathological conditions such as rheumatoid arthritis [69], psoriasis [70], sarcoidosis [71], and allograft rejection [72] as well as in sites of intracellular bacterial infections [73], chronic viral infections [74], and tumors [75]. Inside the inflamed tissues and imbibed in the appropriate monokine environment, CD56+high NK-cells are able to engage with monocytes in a reciprocal fashion [76], thereby amplifying the inflammatory response and having important antitumor and antiviral effects. In the LN, they can induce the maturation of DC via IFN-γ and TNF-α release and/or cell-cell contact-dependent mechanisms [2, 3], in that way shaping the subsequent immune response. Moreover, activated NK-cells can kill immature myeloid DC, which have insufficient amounts of MHC molecules to activate T cells properly [2, 3]. In addition, CD56+high NK-cells also predominate in placenta [77], where they are involved in maternal-fetal tolerance [78, 79].In contrast, CD56+low NK-cells, which are essentially cytotoxic, and neutrophils, which are phagocytic cells by excellence, predominate in the PB and are equipped with the CXCR1 and CXCR2 chemokine receptors, making them able to comigrate into sites of acute inflammation in response to IL-8 and other ELR motif containing chemokines and to participate in the earliest phase of the innate immune response. As for the neutrophils, migration of CD56+low NK-cells to inflamed tissues also depends on the interaction of different forms of PSGL-1 expressed on their membrane with the selectin molecules expressed on endothelial cells [31]. Curiously, cytotoxic T lymphocytes (CTL) have also been reported to express CXCR1 [80] and PSGL-1 [81].Normally, both neutrophils, which are able to neutralize efficiently the extracellular pathogens, after opsonization by antibodies, using Fc receptors for IgG and IgA and CD56+low NK-cells, which mediate antibody dependent cell cytotoxicity via FcγRIIIa (CD16), circulate in the blood. In that sense, it can be hypothesized that these cells are candidates to establish a bridge between the innate immune response and the antibody mediated adaptive immune response. Evidence is being accumulated in the last years for a cross-talk between neutrophils and NK-cells [6, 7]. For instance, NK-cells promote neutrophil recruitment to the inflamed tissues and several NK-cell derived cytokines and growth factors, such as GM-CSF, IFN-γ, and TNF-α, act by enhancing neutrophil survival and by modulating cell surface expression of complement and Fc receptors in neutrophils [82-84]. On the other hand, neutrophils can stimulate the production of IFN-γ by NK-cells [84].The other anatomical sites in which CD56+low NK-cells and neutrophils might be concomitantly present to modulate each other's activity and its contribution to disease are not completely elucidated. Normal liver contains mainly CD56+low NK-cells, but these cells are different from the CD56+low NK-cells that circulate in the blood [85]. In addition, CD56+low NK-cells also infiltrate the liver of patients with primary biliary cirrhosis, an antibody mediated autoimmune disease, following the CXCR1/IL-8 axis [85]; curiously, hepatic infiltration by neutrophils is also found in these patients [86]. Moreover, CD56+low NK-cells and neutrophils colocalize in the skin of patients with Sweet's syndrome, an acute febrile neutrophilic dermatosis that can follow viral infections, autoimmune diseases, and hematologic malignancies [84].Also of note, in this study we confirm previous observations about the lack of expression on both CD56+low and CD56+high NK-cells of other CKR involved in homing to nonlymphoid organs and tissues including CCR4 (skin and lung), CCR6 (intestine and liver), CCR9 (small intestine), and CCR10 (skin) [45, 87]. This suggests that, unlike memory/effector T cells, CD56+ NK-cells may not be divided into cutaneous versus mucosal/intestinal-homing compartments, based on CKR expression [58, 88, 89].Of special interest is also the identification of a new population of NK-cells expressing intermediate levels of CD56 that we designed as CD56+int NK-cells. Similar to CD56+high NK-cells, most of the CD56+int NK-cells are KIR− and CD57−; however, the majority of them display the CD16 molecule, a marker of CD56+low NK-cells, and they have intermediate levels of CD62L, CD94, and CD122 expression. Due to the fact that the identification of the NK-cell populations by flow cytometry is usually based only on CD56 and CD16 expression, CD56+int NK-cells are being considered together with CD56+low NK-cells on routine blood analysis.The fact that CD56+int NK-cells have phenotypic features intermediate between those of conventional CD56+low and CD56+high NK-cells would suggest that they could represent a transitional NK-cell maturation stage.In line with this hypothesis, evidence for the existence of transitional NK-cell populations with phenotypic features similar to those of the CD56+int NK-cells described herein has also been provided in other studies [90, 91]. In accordance, Yu et al. described a CD56+low CD94+high NK-cell subset expressing CD2, CD62L, CD56, KIR, granzymes, and perforin, producing IFN-γ in response to monokines, and exhibiting CD94-mediated redirected killing at levels intermediate between those observed in CD56+low CD94+low and CD56+high CD94+high NK-cells [90]. In addition, Juelke el al. reported on a CD56+low CD62L+ NK-cell subset with the ability to produce IFN-γ and the capacity to kill [91]. Finally, when studying the differentiation of CD56+high CD94/NKG2A+ into CD56+low CD94/NKG2A− NK-cells, Béziat et al. found a transitional CD56+low CD94/NKG2A+ NK-cell subset, expressing intermediate levels of CD62L, granzyme-K, CD27, and CD57, among other molecules [92]. Given the immunophenotypic similarities, the CD56+int NK-cell population described herein, which comprises less than 10% of the CD56+ NK-cells in the PB from normal healthy individuals, probably corresponds to a subpopulation of the CD56+low CD94+high NK-cell subset described by Yu et al., which accounts for half of the circulating CD56+ NK-cells [90].Another potential interest of identifying normal NK-cells with intermediate phenotypic features relies on data interpretation in clinical settings. For instance, overrepresentation of CD56+int NK-cells in the PB from patients with NK-cell lymphocytosis may erroneously be interpreted as phenotypically aberrant (and thus potentially neoplastic) NK-cells. Thus, the knowledge about the immunophenotype of the NK-cell populations that circulate in normal PB, as well as in the PB from patients with inflammatory and infectious conditions [93, 94], is essential to a better understanding of the phenotypic heterogeneity of the expanded NK-cell populations observed in patients with CLPD-NK [95], thereby contributing to distinguishing nonclonal from clonal NK-cell proliferations and reactive from neoplastic conditions [96, 97].
5. Conclusions
Differences in the CKR expression on CD56+low and CD56+high NK-cells may determine their ability to be recruited into inflamed tissues and colocalize with other cells at sites of inflammation, which is crucial for the success of the immune response. In addition, the phenotypic heterogeneity of the conventional CD56+low and CD56+high NK-cells may be largely due to the presence of transitional NK-cell populations, which may be preferentially expanded in some pathological conditions.Further investigations in this area will help to better understand the terminal differentiation of the NK-cells and the maturation relationship between the NK-cell subsets, their circulation through the body, and their participation in the immune response. In addition, they will give an important contribution to establish phenotypic criteria to differentiate reactive and neoplastic NK-cell proliferations, as well as to better identify the normal cell counterparts from which the neoplastic NK-cells originate.
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Authors: Carlos E Sanchez; Ehsan P Dowlati; Ashley E Geiger; Kajal Chaudhry; Matthew A Tovar; Catherine M Bollard; Conrad Russell Y Cruz Journal: Transplant Cell Ther Date: 2020-09-29
Authors: Benjamin Motais; Sandra Charvátová; Zuzana Walek; Matouš Hrdinka; Ryszard Smolarczyk; Tomasz Cichoń; Justyna Czapla; Sebastian Giebel; Michal Šimíček; Tomáš Jelínek; Tereza Ševčíková; Jiří Sobotka; Zdeněk Kořístek; Roman Hájek; Juli R Bagó Journal: Cells Date: 2021-04-21 Impact factor: 6.600
Authors: Andrea Cossarizza; Hyun-Dong Chang; Andreas Radbruch; Mübeccel Akdis; Immanuel Andrä; Francesco Annunziato; Petra Bacher; Vincenzo Barnaba; Luca Battistini; Wolfgang M Bauer; Sabine Baumgart; Burkhard Becher; Wolfgang Beisker; Claudia Berek; Alfonso Blanco; Giovanna Borsellino; Philip E Boulais; Ryan R Brinkman; Martin Büscher; Dirk H Busch; Timothy P Bushnell; Xuetao Cao; Andrea Cavani; Pratip K Chattopadhyay; Qingyu Cheng; Sue Chow; Mario Clerici; Anne Cooke; Antonio Cosma; Lorenzo Cosmi; Ana Cumano; Van Duc Dang; Derek Davies; Sara De Biasi; Genny Del Zotto; Silvia Della Bella; Paolo Dellabona; Günnur Deniz; Mark Dessing; Andreas Diefenbach; James Di Santo; Francesco Dieli; Andreas Dolf; Vera S Donnenberg; Thomas Dörner; Götz R A Ehrhardt; Elmar Endl; Pablo Engel; Britta Engelhardt; Charlotte Esser; Bart Everts; Anita Dreher; Christine S Falk; Todd A Fehniger; Andrew Filby; Simon Fillatreau; Marie Follo; Irmgard Förster; John Foster; Gemma A Foulds; Paul S Frenette; David Galbraith; Natalio Garbi; Maria Dolores García-Godoy; Jens Geginat; Kamran Ghoreschi; Lara Gibellini; Christoph Goettlinger; Carl S Goodyear; Andrea Gori; Jane Grogan; Mor Gross; Andreas Grützkau; Daryl Grummitt; Jonas Hahn; Quirin Hammer; Anja E Hauser; David L Haviland; David Hedley; Guadalupe Herrera; Martin Herrmann; Falk Hiepe; Tristan Holland; Pleun Hombrink; Jessica P Houston; Bimba F Hoyer; Bo Huang; Christopher A Hunter; Anna Iannone; Hans-Martin Jäck; Beatriz Jávega; Stipan Jonjic; Kerstin Juelke; Steffen Jung; Toralf Kaiser; Tomas Kalina; Baerbel Keller; Srijit Khan; Deborah Kienhöfer; Thomas Kroneis; Désirée Kunkel; Christian Kurts; Pia Kvistborg; Joanne Lannigan; Olivier Lantz; Anis Larbi; Salome LeibundGut-Landmann; Michael D Leipold; Megan K Levings; Virginia Litwin; Yanling Liu; Michael Lohoff; Giovanna Lombardi; Lilly Lopez; Amy Lovett-Racke; Erik Lubberts; Burkhard Ludewig; Enrico Lugli; Holden T Maecker; Glòria Martrus; Giuseppe Matarese; Christian Maueröder; Mairi McGrath; Iain McInnes; Henrik E Mei; Fritz Melchers; Susanne Melzer; Dirk Mielenz; Kingston Mills; David Mirrer; Jenny Mjösberg; Jonni Moore; Barry Moran; Alessandro Moretta; Lorenzo Moretta; Tim R Mosmann; Susann Müller; Werner Müller; Christian Münz; Gabriele Multhoff; Luis Enrique Munoz; Kenneth M Murphy; Toshinori Nakayama; Milena Nasi; Christine Neudörfl; John Nolan; Sussan Nourshargh; José-Enrique O'Connor; Wenjun Ouyang; Annette Oxenius; Raghav Palankar; Isabel Panse; Pärt Peterson; Christian Peth; Jordi Petriz; Daisy Philips; Winfried Pickl; Silvia Piconese; Marcello Pinti; A Graham Pockley; Malgorzata Justyna Podolska; Carlo Pucillo; Sally A Quataert; Timothy R D J Radstake; Bartek Rajwa; Jonathan A Rebhahn; Diether Recktenwald; Ester B M Remmerswaal; Katy Rezvani; Laura G Rico; J Paul Robinson; Chiara Romagnani; Anna Rubartelli; Beate Ruckert; Jürgen Ruland; Shimon Sakaguchi; Francisco Sala-de-Oyanguren; Yvonne Samstag; Sharon Sanderson; Birgit Sawitzki; Alexander Scheffold; Matthias Schiemann; Frank Schildberg; Esther Schimisky; Stephan A Schmid; Steffen Schmitt; Kilian Schober; Thomas Schüler; Axel Ronald Schulz; Ton Schumacher; Cristiano Scotta; T Vincent Shankey; Anat Shemer; Anna-Katharina Simon; Josef Spidlen; Alan M Stall; Regina Stark; Christina Stehle; Merle Stein; Tobit Steinmetz; Hannes Stockinger; Yousuke Takahama; Attila Tarnok; ZhiGang Tian; Gergely Toldi; Julia Tornack; Elisabetta Traggiai; Joe Trotter; Henning Ulrich; Marlous van der Braber; René A W van Lier; Marc Veldhoen; Salvador Vento-Asturias; Paulo Vieira; David Voehringer; Hans-Dieter Volk; Konrad von Volkmann; Ari Waisman; Rachael Walker; Michael D Ward; Klaus Warnatz; Sarah Warth; James V Watson; Carsten Watzl; Leonie Wegener; Annika Wiedemann; Jürgen Wienands; Gerald Willimsky; James Wing; Peter Wurst; Liping Yu; Alice Yue; Qianjun Zhang; Yi Zhao; Susanne Ziegler; Jakob Zimmermann Journal: Eur J Immunol Date: 2017-10 Impact factor: 6.688
Authors: Nancy D Marin; Bradley A Krasnick; Michelle Becker-Hapak; Leah Conant; Simon P Goedegebuure; Melissa M Berrien-Elliott; Keenan J Robbins; Jennifer A Foltz; Mark Foster; Pamela Wong; Celia C Cubitt; Jennifer Tran; Christopher B Wetzel; Miriam Jacobs; Alice Y Zhou; David Russler-Germain; Lynne Marsala; Timothy Schappe; Ryan C Fields; Todd A Fehniger Journal: Clin Cancer Res Date: 2021-06-29 Impact factor: 12.531
Authors: Andrea Cossarizza; Hyun-Dong Chang; Andreas Radbruch; Andreas Acs; Dieter Adam; Sabine Adam-Klages; William W Agace; Nima Aghaeepour; Mübeccel Akdis; Matthieu Allez; Larissa Nogueira Almeida; Giorgia Alvisi; Graham Anderson; Immanuel Andrä; Francesco Annunziato; Achille Anselmo; Petra Bacher; Cosima T Baldari; Sudipto Bari; Vincenzo Barnaba; Joana Barros-Martins; Luca Battistini; Wolfgang Bauer; Sabine Baumgart; Nicole Baumgarth; Dirk Baumjohann; Bianka Baying; Mary Bebawy; Burkhard Becher; Wolfgang Beisker; Vladimir Benes; Rudi Beyaert; Alfonso Blanco; Dominic A Boardman; Christian Bogdan; Jessica G Borger; Giovanna Borsellino; Philip E Boulais; Jolene A Bradford; Dirk Brenner; Ryan R Brinkman; Anna E S Brooks; Dirk H Busch; Martin Büscher; Timothy P Bushnell; Federica Calzetti; Garth Cameron; Ilenia Cammarata; Xuetao Cao; Susanna L Cardell; Stefano Casola; Marco A Cassatella; Andrea Cavani; Antonio Celada; Lucienne Chatenoud; Pratip K Chattopadhyay; Sue Chow; Eleni Christakou; Luka Čičin-Šain; Mario Clerici; Federico S Colombo; Laura Cook; Anne Cooke; Andrea M Cooper; Alexandra J Corbett; Antonio Cosma; Lorenzo Cosmi; Pierre G Coulie; Ana Cumano; Ljiljana Cvetkovic; Van Duc Dang; Chantip Dang-Heine; Martin S Davey; Derek Davies; Sara De Biasi; Genny Del Zotto; Gelo Victoriano Dela Cruz; Michael Delacher; Silvia Della Bella; Paolo Dellabona; Günnur Deniz; Mark Dessing; James P Di Santo; Andreas Diefenbach; Francesco Dieli; Andreas Dolf; Thomas Dörner; Regine J Dress; Diana Dudziak; Michael Dustin; Charles-Antoine Dutertre; Friederike Ebner; Sidonia B G Eckle; Matthias Edinger; Pascale Eede; Götz R A Ehrhardt; Marcus Eich; Pablo Engel; Britta Engelhardt; Anna Erdei; Charlotte Esser; Bart Everts; Maximilien Evrard; Christine S Falk; Todd A Fehniger; Mar Felipo-Benavent; Helen Ferry; Markus Feuerer; Andrew Filby; Kata Filkor; Simon Fillatreau; Marie Follo; Irmgard Förster; John Foster; Gemma A Foulds; Britta Frehse; Paul S Frenette; Stefan Frischbutter; Wolfgang Fritzsche; David W Galbraith; Anastasia Gangaev; Natalio Garbi; Brice Gaudilliere; Ricardo T Gazzinelli; Jens Geginat; Wilhelm Gerner; Nicholas A Gherardin; Kamran Ghoreschi; Lara Gibellini; Florent Ginhoux; Keisuke Goda; Dale I Godfrey; Christoph Goettlinger; Jose M González-Navajas; Carl S Goodyear; Andrea Gori; Jane L Grogan; Daryl Grummitt; Andreas Grützkau; Claudia Haftmann; Jonas Hahn; Hamida Hammad; Günter Hämmerling; Leo Hansmann; Goran Hansson; Christopher M Harpur; Susanne Hartmann; Andrea Hauser; Anja E Hauser; David L Haviland; David Hedley; Daniela C Hernández; Guadalupe Herrera; Martin Herrmann; Christoph Hess; Thomas Höfer; Petra Hoffmann; Kristin Hogquist; Tristan Holland; Thomas Höllt; Rikard Holmdahl; Pleun Hombrink; Jessica P Houston; Bimba F Hoyer; Bo Huang; Fang-Ping Huang; Johanna E Huber; Jochen Huehn; Michael Hundemer; Christopher A Hunter; William Y K Hwang; Anna Iannone; Florian Ingelfinger; Sabine M Ivison; Hans-Martin Jäck; Peter K Jani; Beatriz Jávega; Stipan Jonjic; Toralf Kaiser; Tomas Kalina; Thomas Kamradt; Stefan H E Kaufmann; Baerbel Keller; Steven L C Ketelaars; Ahad Khalilnezhad; Srijit Khan; Jan Kisielow; Paul Klenerman; Jasmin Knopf; Hui-Fern Koay; Katja Kobow; Jay K Kolls; Wan Ting Kong; Manfred Kopf; Thomas Korn; Katharina Kriegsmann; Hendy Kristyanto; Thomas Kroneis; Andreas Krueger; Jenny Kühne; Christian Kukat; Désirée Kunkel; Heike Kunze-Schumacher; Tomohiro Kurosaki; Christian Kurts; Pia Kvistborg; Immanuel Kwok; Jonathan Landry; Olivier Lantz; Paola Lanuti; Francesca LaRosa; Agnès Lehuen; Salomé LeibundGut-Landmann; Michael D Leipold; Leslie Y T Leung; Megan K Levings; Andreia C Lino; Francesco Liotta; Virginia Litwin; Yanling Liu; Hans-Gustaf Ljunggren; Michael Lohoff; Giovanna Lombardi; Lilly Lopez; Miguel López-Botet; Amy E Lovett-Racke; Erik Lubberts; Herve Luche; Burkhard Ludewig; Enrico Lugli; Sebastian Lunemann; Holden T Maecker; Laura Maggi; Orla Maguire; Florian Mair; Kerstin H Mair; Alberto Mantovani; Rudolf A Manz; Aaron J Marshall; Alicia Martínez-Romero; Glòria Martrus; Ivana Marventano; Wlodzimierz Maslinski; Giuseppe Matarese; Anna Vittoria Mattioli; Christian Maueröder; Alessio Mazzoni; James McCluskey; Mairi McGrath; Helen M McGuire; Iain B McInnes; Henrik E Mei; Fritz Melchers; Susanne Melzer; Dirk Mielenz; Stephen D Miller; Kingston H G Mills; Hans Minderman; Jenny Mjösberg; Jonni Moore; Barry Moran; Lorenzo Moretta; Tim R Mosmann; Susann Müller; Gabriele Multhoff; Luis Enrique Muñoz; Christian Münz; Toshinori Nakayama; Milena Nasi; Katrin Neumann; Lai Guan Ng; Antonia Niedobitek; Sussan Nourshargh; Gabriel Núñez; José-Enrique O'Connor; Aaron Ochel; Anna Oja; Diana Ordonez; Alberto Orfao; Eva Orlowski-Oliver; Wenjun Ouyang; Annette Oxenius; Raghavendra Palankar; Isabel Panse; Kovit Pattanapanyasat; Malte Paulsen; Dinko Pavlinic; Livius Penter; Pärt Peterson; Christian Peth; Jordi Petriz; Federica Piancone; Winfried F Pickl; Silvia Piconese; Marcello Pinti; A Graham Pockley; Malgorzata Justyna Podolska; Zhiyong Poon; Katharina Pracht; Immo Prinz; Carlo E M Pucillo; Sally A Quataert; Linda Quatrini; Kylie M Quinn; Helena Radbruch; Tim R D J Radstake; Susann Rahmig; Hans-Peter Rahn; Bartek Rajwa; Gevitha Ravichandran; Yotam Raz; Jonathan A Rebhahn; Diether Recktenwald; Dorothea Reimer; Caetano Reis e Sousa; Ester B M Remmerswaal; Lisa Richter; Laura G Rico; Andy Riddell; Aja M Rieger; J Paul Robinson; Chiara Romagnani; Anna Rubartelli; Jürgen Ruland; Armin Saalmüller; Yvan Saeys; Takashi Saito; Shimon Sakaguchi; Francisco Sala-de-Oyanguren; Yvonne Samstag; Sharon Sanderson; Inga Sandrock; Angela Santoni; Ramon Bellmàs Sanz; Marina Saresella; Catherine Sautes-Fridman; Birgit Sawitzki; Linda Schadt; Alexander Scheffold; Hans U Scherer; Matthias Schiemann; Frank A Schildberg; Esther Schimisky; Andreas Schlitzer; Josephine Schlosser; Stephan Schmid; Steffen Schmitt; Kilian Schober; Daniel Schraivogel; Wolfgang Schuh; Thomas Schüler; Reiner Schulte; Axel Ronald Schulz; Sebastian R Schulz; Cristiano Scottá; Daniel Scott-Algara; David P Sester; T Vincent Shankey; Bruno Silva-Santos; Anna Katharina Simon; Katarzyna M Sitnik; Silvano Sozzani; Daniel E Speiser; Josef Spidlen; Anders Stahlberg; Alan M Stall; Natalie Stanley; Regina Stark; Christina Stehle; Tobit Steinmetz; Hannes Stockinger; Yousuke Takahama; Kiyoshi Takeda; Leonard Tan; Attila Tárnok; Gisa Tiegs; Gergely Toldi; Julia Tornack; Elisabetta Traggiai; Mohamed Trebak; Timothy I M Tree; Joe Trotter; John Trowsdale; Maria Tsoumakidou; Henning Ulrich; Sophia Urbanczyk; Willem van de Veen; Maries van den Broek; Edwin van der Pol; Sofie Van Gassen; Gert Van Isterdael; René A W van Lier; Marc Veldhoen; Salvador Vento-Asturias; Paulo Vieira; David Voehringer; Hans-Dieter Volk; Anouk von Borstel; Konrad von Volkmann; Ari Waisman; Rachael V Walker; Paul K Wallace; Sa A Wang; Xin M Wang; Michael D Ward; Kirsten A Ward-Hartstonge; Klaus Warnatz; Gary Warnes; Sarah Warth; Claudia Waskow; James V Watson; Carsten Watzl; Leonie Wegener; Thomas Weisenburger; Annika Wiedemann; Jürgen Wienands; Anneke Wilharm; Robert John Wilkinson; Gerald Willimsky; James B Wing; Rieke Winkelmann; Thomas H Winkler; Oliver F Wirz; Alicia Wong; Peter Wurst; Jennie H M Yang; Juhao Yang; Maria Yazdanbakhsh; Liping Yu; Alice Yue; Hanlin Zhang; Yi Zhao; Susanne Maria Ziegler; Christina Zielinski; Jakob Zimmermann; Arturo Zychlinsky Journal: Eur J Immunol Date: 2019-10 Impact factor: 6.688