Abstract
NK cells recognize self-HLA via killer Ig-like receptors (KIR). Homeostatic HLA expression signals for inhibition via KIR, and downregulation of HLA, a common consequence of viral infection, allows NK activation. Like HLA, KIR are highly polymorphic, and allele combinations of the most diverse receptor–ligand pair, KIR3DL1 and HLA-B, correspond to hierarchical HIV control. We used primary cells from healthy human donors to demonstrate how subtype combinations of KIR3DL1 and HLA-B calibrate NK education and their consequent capacity to eliminate HIV-infected cells. High-density KIR3DL1 and Bw4-80I partnerships endow NK cells with the greatest reactivity against HLA-negative targets; NK cells exhibiting the remaining KIR3DL1/HLA-Bw4 combinations demonstrate intermediate responsiveness; and Bw4-negative KIR3DL1+ NK cells are poorly responsive. Cytotoxicity against HIV-infected autologous CD4+ T cells strikingly correlated with reactivity to HLA-negative targets. These findings suggest that the programming of NK effector function results from defined features of receptor and ligand subtypes. KIR3DL1 and HLA-B subtypes exhibit an array of binding strengths. Like KIR3DL1, subtypes of HLA-Bw4 are expressed at distinct, predictable membrane densities. Combinatorial permutations of common receptor and ligand subtypes reveal binding strength, receptor density, and ligand density to be functionally important. These findings have immediate implications for prognosis in patients with HIV infection. Furthermore, they demonstrate how features of KIR and HLA modified by allelic variation calibrate NK cell reactive potential.
Introduction
Natural killer cells weigh inhibitory input against activating signals to distinguish healthy from diseased cells (1, 2). To simultaneously achieve self-tolerance and sensitivity to unhealthy cells, NK cells rely on interaction between cell surface killer Ig-like receptors (KIR) and their HLA class I ligands. KIR receptors convey inhibitory signaling upon binding to their HLA ligands, thereby preventing autoaggression. Of interest, KIR and HLA interaction is also critical for NK education, a poorly understood process that confers NK cell sensitivity to loss of normal HLA expression on diseased cells. Independent segregation of KIR and HLA genes frequently leads to the same individual harboring NK populations exhibiting KIR for self-HLA as well as NK populations exhibiting KIR for which the cognate ligand is lacking (3, 4). Educated cells expressing KIR molecules specific for self-HLA class I molecules readily respond to activation signals on target cells when HLA is absent or downregulated (3, 5–7). In contrast, uneducated NK cells lacking inhibitory receptors for self–class I molecules require more potent stimulation, including inflammation or opsonizing Abs, to be activated for effector function, but their insensitivity to inhibition by class I molecules is beneficial in conditions in which HLA expression persists (8–10).
Among individuals with the same KIR and HLA genes, NK populations frequently exhibit dramatic differences in inhibitory sensitivities and reactive potentials, possibly attributable to significant allelic variation for both receptor and ligand (11–14). KIR3DL1 and HLA-B form the most ancient and polymorphic receptor–ligand pair (15). Wide variation in KIR3DL1 and HLA-B alleles occurs throughout global populations, but both genes are maintained at nearly 100% frequency, underscoring a coevolution that has selected for substantial subtype diversity (16).
The 77 unique alleles of KIR3DL1 are classified into 4 subtypes based on their surface expression density and sequence homology: KIR3DS1, null (KIR3DL1-n), low (KIR3DL1-l), and high (KIR3DL1-h) (17–19). Considerably more diverse, the HLA-B alleles can nevertheless be clustered based on polymorphisms at positions 77–83 that define either the Bw6 epitope, which does not interact with any KIR, or the Bw4 epitope, a ligand for KIR3DL1 (20). Based on a dimorphism (isoleucine versus threonine) at position 80 that affects interaction with KIR3DL1, the HLA-Bw4 alleles can be segregated further into Bw4-80I or Bw4-80T subtypes.
In experiments using transfectant systems and tetramer binding, specific combinations of KIR3DL1 and HLA-Bw4 subtypes exhibit different receptor–ligand binding affinities and inhibitory strengths (13, 14, 21). KIR3DS1 and KIR3DL1-n subtypes are not known to engage Bw4 molecules on neighboring cells; however, specific peptides, including those from HIV, may facilitate engagement of KIR3DS1 by Bw4-80I (22). KIR3DL1-l and -h subtypes, in contrast, bind both Bw4 subtypes, with varying strengths. KIR3DL1*005, a common KIR3DL1-l isoform, binds Bw4-80I and -80T tetramers with similar affinity (21). KIR3DL1-h, notably the common KIR3DL1*001 and *015 isoforms, preferentially engage Bw4-80I over -80T tetramers (13, 21, 23). The functional relevance of such preferential binding remains to be determined in primary NK cells, in which additional factors, including receptor and ligand densities, might influence cell–cell interactions and NK education.
Combinations of KIR3DL1 and HLA-B subtypes are associated with distinct rates of disease progression in persons infected with HIV (24). Notably, pairings of Bw4-80I with KIR3DL1-h, -n, or KIR3DS1 are associated with the slowest HIV progression. The remaining combinations of KIR3DL1 and HLA-Bw4, although less protective, are still superior to those lacking HLA-Bw4 (24). HIV infection leads to downregulation of HLA-B (25, 26). Therefore, to the KIR3DL1+ NK cell, the autologous HIV-infected cell may appear as a target cell lacking self-HLA, and NK cells educated for high sensitivity to missing self would be expected to mount a robust response. Challenged with HLA class I–negative targets, NK cells from individuals with KIR3DL1-h and HLA-B*51 or B*52, both Bw4-80I subtypes, exhibit enhanced IFN-γ production compared with other KIR3DL1/HLA-Bw4 subtype combinations (27). Furthermore, when HLA-B*57, a Bw4-80I subtype, is combined with KIR3DL1-h, a trifunctional NK population capable of cytotoxicity, as well as cytokine and chemokine production, is identifiable (28–30). Because of the limitation to only a few pairs, however, published analyses could only speculate about the molecular characteristics of receptor–ligand relationships responsible for governing NK cell education and HIV control.
To understand how epistatic interactions between KIR3DL1 and HLA-Bw4 define hierarchical control of HIV, we investigated 7 KIR3DL1 and 20 HLA-B allotypes, whose pairings were informative for receptor density, ligand density, and receptor–ligand binding strength. We now report that HLA-Bw4 subtypes exhibit significant differences in cell surface expression, and we demonstrate wide differences in strengths of binding between KIR3DL1 and HLA-B subtypes. We find that high cell surface expression of both receptor and ligand, as well as strong binding between KIR3DL1 and HLA-Bw4, cooperatively generate the most potent reactivity of primary NK cells against HLA-negative target cells and autologous CD4+ cells infected with HIV. These new insights reveal how NK immunogenetics vary receptor and ligand interactions to control NK education and innate immunity against HIV.
Materials and Methods
Healthy donor PBMCs and cell lines
Buffy coats were collected from volunteer blood donors at the New York Blood Center (http://nybloodcenter.org/). These samples were obtained anonymously; therefore, the Memorial Sloan Kettering Cancer Center (MSKCC) Institutional Review Board waived the need for additional research consent. Peripheral blood was additionally collected from healthy donors at MSKCC following approval by the MSKCC Institutional Review Board, and donors provided informed written consent. PBMCs were isolated by Ficoll purification, aliquoted, and stored in liquid nitrogen prior to experimentation. DNA was isolated from PBMCs using DNeasy Blood and Tissue mini kits (QIAGEN, Valencia, CA).
Expi293F cells were maintained in Expi293 expression medium according to the manufacturer’s instructions (Life Technologies, Grand Island, NY). Phoenix A cells were obtained from American Type Culture Collection and maintained in DMEM containing 10% FBS. The 721.221 and Jurkat cells, kind gifts from Dr. Richard O’Reilly (MSKCC) and Dr. Steven Nimer (University of Miami, Miami FL), respectively, were maintained in RPMI 1640 containing 10% FBS.
KIR typing, KIR3DL1 allele analysis, and HLA genotyping
Medium-resolution typing for HLA alleles was completed by Histogenetics (Ossining, NY). HLA-A, -B, and -C epitopes were assigned to HLA-Bw4, -Bw6, -C1, and -C2 subtypes using the HLA Immunopolymorphism database version 3.14.0. KIR genotyping and KIR3DL1 subtyping were performed as previously described (19, 31, 32). Individuals with KIR3DL1*002-group high alleles were examined using a Luminex-based KIR SSO platform according to the manufacturer’s instructions. The probe recognition site for bead region 64 spans the codons 236–239 and specifically targets the alleles KIR3DL1*002 and KIR3DL1*054. KIR3DL1*054 is a rare allele, lacking entirely from at least two patient cohorts (33, 34). Therefore, individuals positive for bead region 64 by Luminex and KIR3DL1*002-group typing by PCR with sequence-specific primers (PCR-SSP) were assumed to exhibit KIR3DL1*002. KIR3DL1*002 and *015 represent a total of 70.2% of the alleles identified in the KIR3DL1*002 group by PCR-SSP. Therefore, alleles not identified as KIR3DL1*002 in this group were assigned the characteristics of KIR3DL1*015.
NK stimulation with HLA-negative 721.221 target cells
PBMCs were coincubated with target cells at a 3:1 ratio for 4 h in the presence of anti-CD107α Ab (LAMP-1, H4A3; BD Biosciences, San Jose, CA) to detect degranulation. The HLA-negative, NK-sensitive 721.221 BLCL were used as targets for NK activation assays. PBMCs were cultured overnight in RPMI 1640 media containing 10% FBS and 1000 IU/ml IL-2 prior to functional analysis. KIR3DL1+ NK cell responsiveness was normalized between donors by subtracting the background activation in the KIR−NKG2A− population from the specific activation observed in NK cells solely expressing KIR3DL1. Donors exhibiting HLA-A alleles that encode Bw4 epitopes were excluded from all analyses, although pilot experiments determined that they do not contribute to NK education (data not shown).
FACS analysis
Dead cells were excluded based on staining with LIVE/DEAD viability dye (Life Technologies), and NK cells were identified as CD56+ (N901; Beckman Coulter, Jersey City, NJ) and CD3−− cells expressing KIR3DL1 as the only KIR molecule.
Two anti–HLA-Bw4 Abs, clone 0007 and REA274, were used to establish expression of the Bw4-80I and Bw4-80T subtypes and to monitor loss of HLA-B expression following HIV infection (FH0007 and BIH0007, One Lambda, Canoga Park, CA; and REA274, Miltenyi Biotec, Auburn, CA). HLA-C expression was monitored using supernatant from the DT9 hybridoma, kindly provided by Dr. Mary Carrington (National Institutes of Health, Frederick, MD) with secondary staining using anti-mouse IgG (eBioscience, San Diego, CA). Data reported are median fluorescence intensities (MFIs) obtained using FITC-conjugated clone 0007 (FH0007), which bound similarly to all HLA-Bw4 isoforms tested. To correct for slight variances in Ab affinity to HLA-Bw4 isoforms, binding values were calculated using MFIs in the following formula: (Ab binding to cells × Ab binding to bead-bound specific isoform)/Ab binding to bead-bound HLA-B*57:01 (35).
DHIV3 virus production and titration
The envelope-deleted DHIV3 infection model allows for nonproductive infection of CD4+ T cells and subsequent downregulation of HLA-B (26). DHIV3 plasmid and VSV-G were cotransfected into Phoenix A cells in the presence of 25 μM chloroquine. Virus-containing supernatants were harvested 48 and 72 h post transfection and titrated using Jurkat cells, as described (36).
CD4+ T cell expansion and DHIV3 infection
Non–tissue culture–treated plates were coated with 1 μg/ml anti-CD2 (Santa Cruz Biotechnology, Dallas, TX), anti-CD3, and anti-CD28 (BD Biosciences); washed; and blocked with PBS containing 5% FBS for 2 h at 37°C. Total donor PBMCs were seeded at 5 × 106 cells/ml in RPMI 1640 containing 10% human serum for 1 wk. CD4+ T cells were positively selected using Dynabeads (Life Technologies) and incubated on freshly coated plates for 7–14 d in the presence of 350 IU/ml IL-2.
CD4+ T cells were infected with DHIV3 virus by spinoculation for 1.5 h in the presence of 10 mg/ml Polybrene, at 300 × g (37). Cells were returned to culture in freshly coated plates in the presence of 350 IU/ml IL-2 for 48 h prior to FACS analysis for intracellular HIV p24 protein (National Institutes of Health reagents program) (38–40). Phenotyping was performed for CD4 (RPA-T4; BD Biosciences), CD8 (RPA-T8; BD Biosciences), CD3, HLA-ABC, HLA-Bw4, and HLA-C (41). Dead cells were excluded by live/dead staining.
NK challenge with autologous DHIV3-infected CD4+ T cells
NK cells were purified from previously frozen PBMCs by negative enrichment according to the manufacturer’s instructions (StemCell Technologies, Vancouver, Canada). NK and DHIV3-infected autologous CD4+ T cells were seeded at a 1:1 ratio in the presence of anti-CD107α for 6 h prior to FACS analysis for phenotype, function, and total infected cell killing. To quantitate infected cell killing, cell deaths of infected (CD4low) and of uninfected (CD4high) were compared for each sample.
Production of soluble KIR-Fc recombinant proteins
KIR-Fc constructs were created to produce soluble recombinant proteins for the KIR3DL1-h alleles *001, *002, *020 and for KIR3DL1-l *005. An additional KIR-Fc construct was created to represent KIR3DL1*007 and *015, alleles that are expressed at low and high surface densities, respectively, but that share a common ectodomain (42). cDNA for the IL-2 signal peptide, exons encoding the extracellular domains of KIR3DL1, and the Fc region of human IgG1 were cloned into the mammalian expression vector pcDNA3.4. All constructs were prepared per manufacturer’s instructions using the HiSpeed Plasmid Maxi Kit (QIAGEN).
Expi293F cells (7.5 × 107) were transfected with 30 μg of the appropriate KIR-Fc plasmid using the Expifectamine 293F transfection reagent per the manufacturer’s instructions (Life Technologies). Supernatants containing the secreted recombinant proteins were harvested 7 d post transfection, and the concentration of soluble KIR-Fc in the supernatants was determined using the Easy-Titer human IgG assay (Pierce Biotechnologies, Rockford, IL). To assess the folding of each recombinant protein, protein A–coated microspheres (Bangs Laboratories, Fishers, IN) were incubated with 1.0 μg of the KIR-Fc proteins for 1 h at 4°C. The correctly folded KIR-Fc molecules were detected by flow cytometry using the conformation-specific KIR3DL1 Abs, DX9 and Z27 (BD Biosciences and Beckman Coulter, respectively).
Detection of soluble KIR-Fc binding to HLA
KIR-Fc proteins were tested for binding to a panel of single-Ag HLA molecules conjugated to uniquely labeled microspheres (One Lambda). The microspheres were incubated with KIR-Fc proteins (4.0 μg/ml) for 1 h at room temperature with 300 rpm rotation. After washing, samples were probed with a PE-conjugated goat Ab specific for human IgG (One Lambda) and analyzed on a LABScan 100 flow analyzer using xPONENT software (Luminex, Austin, TX). The MFI values obtained for each interaction between KIR-Fc and HLA were first background subtracted for binding to the negative control bead and compared to understand the relative binding affinities of each allelic partnership (35). HLA-B*27:05 was not bound efficiently by any KIR-Fc construct and was consequently not included in the binding heat map array. Total HLA loading onto beads was measured by staining with anti–β2-microglobulin (β2m) (clone bbm.1; BD Biosciences), and anti-HLA class I (clones G46-2.6 and W6/32 from BD Biosciences and eBioscience, respectively). All Abs exhibited the same relative MFIs for all HLA isoforms. KIR-Fc binding was determined using the following formula: (bead staining with KIR-Fc − background bead fluorescence)/(MFI for total HLA staining − background bead fluorescence) (12, 35). The specific peptides loaded onto the bead-bound HLA molecules are not disclosed by the manufacturer; however, as they are derived from EBV-transformed cell lines it is expected that they represent a heterogeneity of endogenous and EBV-derived peptides (43).
Statistical analysis
All statistical analyses were computed using GraphPad Prism 6.0e software (GraphPad Prism Software, La Jolla, CA). Differences between KIR3DL1 and HLA-B subtype combinations were compared using Student t tests and one-way ANOVA when more than two subtype groups were considered simultaneously. Tukey’s post hoc assessments were used to identify significance between specific subtype groups and to correct for multiple comparisons, and p < 0.05 was considered significant. Correlational analyses were performed by linear regression.
Results
KIR3DL1 subtypes exhibit distinct expression patterns
We used a multiplex PCR typing assay to identify subtypes of KIR3DL1/S1 alleles in 135 healthy donors (19). With this typing method, the 77 known alleles of KIR3DL1/S1 are grouped into six subtypes and four phenotypically distinct groups (17–20) (Fig. 1A). Among the inhibitory KIR3DL1 subtypes detected on the cell surface by both Abs, two phenotypes are established: low expression (KIR3DL1-l, the product of KIR3DL1*005 and *007 subtypes) and high expression (KIR3DL1-h, the product of KIR3DL1*001, *002, and *015 subtypes) (Fig. 1A, 1B). Members of the null group (KIR3DL1-n), most commonly KIR3DL1*004 and *019, are not expressed on the cell surface under homeostatic conditions (44) and therefore cannot be detected by staining with either of the anti-KIR3DL1 Abs, DX9 or Z27. KIR3DL1-n can, however, be stained intracellularly with clone 177407 or on the cell surface after overnight culture at 25°C (45) (J.E. Boudreau, F. Giglio, T. Gooley, P. Stevenson, J.-B. Le Luduec, R. Rajalingam, L. Hou, C. Hurley, T. Lebedeva, H. Noreen, E. Reed, N. Yu, C. Vierra-Green, M. Haagenson, M. Malkki, E. Petersdorf, S. Spellman, and K.C. Hsu, submitted for publication). The activating KIR3DS1 subtypes are weakly detected on NK surfaces by Z27 and are not bound at all by DX9 (18).
KIR3DL1 allele subtyping predicts NK cell phenotype and representation in the repertoire. Viable CD3−CD56+ NK cells from healthy human donors were assessed by KIR3DL1 PCR-SSP and stained for flow cytometry using DX9 (anti-KIR3DL1) and Z27 (anti-KIR3DL1/S1) mAbs. (A) Phenotyping panel of healthy donor PBMCs, gated on NK cells to represent all available major allele subtype combinations. Labels indicate the most common allele in each KIR3DL1 subtype. A representative donor from each subtype combination is displayed. (B) Z27 staining MFI from individuals expressing KIR3DL1-l or -h. (C) Percentage of PBMCs that are NK cells, segregated based on donor compound KIR3DL1 subtypes. (D) Percentage of peripheral blood NK cells that express KIR3DL1, organized based on donor KIR3DL1 subtypes. Bar graphs represent means ±SEM and a minimum of two independent experiments with three to five donors per group. Means are compared by Student t test (B) or one-way ANOVA (C and D). **p < 0.01, ****p < 0.0001.
KIR3DL1+ NK phenotypes also consistently define fixed proportions of KIR3DL1+ NK cells in the repertoire. Although the proportion of lymphocytes that are NK cells does not differ appreciably between donors with specific KIR3DL1 subtypes (Fig. 1C), KIR3DL1-l+ and -h+ NK cells are present in the NK repertoire at low and high frequencies, respectively (Fig. 1D). In individuals expressing both KIR3DL1 surface subtypes (KIR3DL1-l+h), two phenotypically distinct populations are observed (Fig. 1A), and the total proportion of KIR3DL1+ NK cells is intermediate when compared with the proportion in KIR3DL1-l+l individuals and KIR3DL1-h+h individuals (Fig. 1D).
The distinct phenotypes of KIR3DL1+ NK cells reflect differences in expression, rather than variable affinities for Ab binding and/or competition between Abs for overlapping or proximal epitopes. Three different Abs that recognize KIR3DL1 create the same pattern of low- and high- expression phenotypes. Further, competition between Abs for shared epitopes is unlikely because simultaneous or serial costaining with the same Abs produces the same phenotypes (data not shown).
Subtype combinations of KIR3DL1 and HLA-B titrate NK cell reactivity
We investigated how subtype combinations of KIR3DL1 and HLA-B affect NK education. NK cells from healthy donors selected to represent the permutations of HLA-B subtypes (Bw6, Bw4-80T, or Bw4-80I) and KIR3DL1 subtypes (KIR3DL1-l, -h, -n, or KIR3DS1) were analyzed for degranulation in response to the NK-sensitive, HLA-negative target cell line 721.221 (Fig. 2A). As expected, NK cells exclusively expressing KIR3DL1 from Bw4-negative (Bw6+) donors were poorly responsive, reflecting a lack of NK education owing to nonengagement of KIR3DL1 by Bw6. In contrast, KIR3DL1 monopositive cells from HLA-Bw4+ donors demonstrated higher responsiveness, consistent with NK education. The magnitude of reactivity varied between educated NK cells, but followed a specific pattern predicted by KIR3DL1 and HLA-B subtype combinations. KIR3DL1-h+ NK cells from Bw4-80I individuals exhibited the highest reactivity among all groups. KIR3DL1-h+ NK cells from Bw4-80T individuals and KIR3DL1-l+ NK cells from Bw4-80I+ or Bw4-80T+ individuals had similar, intermediate degrees of reactivity (Fig. 2A, p = 0.7609). KIR3DS1+ NK cells were nonresponsive to 721.221 target cells, irrespective of donor HLA-B background, confirming that this population is not educated by HLA-B (Supplemental Fig. 1A). Finally, NK cells exhibiting KIR3DL1-n were educated by both Bw4-80I and -80T for an intermediate level of responsiveness (Supplemental Fig. 1B), consistent with previous conclusions that the receptors’ intracellular retention does not preclude education (45) (J.E. Boudreau, F. Giglio, T. Gooley, P. Stevenson, J.-B. Le Luduec, R. Rajalingam, L. Hou, C. Hurley, T. Lebedeva, H. Noreen, E. Reed, N. Yu, C. Vierra-Green, M. Haagenson, M. Malkki, E. Petersdorf, S. Spellman, and K.C. Hsu, submitted for publication).
Allelic combinations of KIR3DL1 and HLA-B subtypes confer variable NK education and reactivity toward HLA-negative 721.221. (A) Total PBMCs from 54 healthy donors were stimulated with the HLA-negative, NK-sensitive target cell line 721.221. CD3−CD56+ NK cells were gated to include either KIR3DL1-high or KIR3DL1-low NK cells that lacked NKG2A and other KIR. Individuals encoding both high and low populations were included after dividing the populations by FACS gating. Each bar represents mean ±SEM for a minimum of five independent donors. (B) Representative donors coexpressing high and low alleles demonstrate variable education by Bw4-80I and Bw4-80T donors. **p < 0.01, ***p < 0.001 calculated by one-way ANOVA using Tukey’s post hoc test.
Our observations indicate that interactions between receptor and ligand subtypes predictably program NK education. To further distinguish the roles of allele subtype interactions from interdonor variation in NK education, we compared the high- and low-density KIR3DL1+ populations from KIR3DL1-l+h individuals, where the HLA environment is constant but the KIR3DL1 receptors and their consequent interaction with self-HLA might differ. In response to stimulation with 721.221 target cells, KIR3DL1-l+ and -h+ NK cells derived from the same donors exhibit degranulation that is consistent with the level of education defined by their KIR3DL1 subtype. In a representative Bw4-80I+ donor, KIR3DL1-h+ NK cells exhibit greater degranulation than KIR3DL1-l+ NK cells (Fig. 2B). In a representative Bw4-80T+ KIR3DL1-l+h donor, the KIR3DL1-l+ and -h+ NK populations demonstrate similar reactivity, consistent with their comparable education by Bw4-80T. Together, these observations demonstrate that NK cell education results from the interactions of specific receptor–ligand pairs. The reproducible reactivity of these combinations educated in the same environment therefore indicates that NK education is defined by constant characteristics unique to receptor and ligand subtypes, and is unaffected by interindividual variation.
NK cell education is predicted by the strength of KIR3DL1 and HLA-B interactions
We hypothesized that strong binding between KIR3DL1 and HLA-B subtypes corresponds to high NK reactivity. In addition to the 80I versus 80T distinction in the Bw4 epitope, several polymorphic sites on KIR3DL1 titrate its affinity for HLA-Bw4 ligands (21, 31, 46). Therefore, binary categorization of KIR3DL1 and HLA-B molecules as high versus low, or Bw4-80I versus -80T, respectively, likely underestimates the variation in binding of KIR3DL1 to HLA-Bw4 generated by these highly polymorphic receptor and ligand families. Previous studies have demonstrated different strengths of binding between specific KIR3DL1 and HLA-B subtypes (13, 14, 21, 23); however, a comprehensive analysis to codify the relative binding of all of the most common isoforms of HLA-B and KIR3DL1 subtypes has not been described.
To directly compare ligand specificity of the most common receptor allotypes, we generated soluble recombinant proteins exhibiting the ectodomains of two common KIR3DL1-l allotypes (KIR3DL1*005 and *007) and four common KIR3DL1-h allotypes (KIR3DL1*001, *002, *015, *020). Binding of these recombinant KIR3DL1-Fc proteins to 20 different HLA-Bw4 allotypes individually conjugated to microspheres was then evaluated, as described (11, 12). The relative binding of KIR3DL1 isoforms to different HLA-B subtypes was determined by comparing the median fluorescent intensities generated after secondary staining with a PE-labeled anti-Fc Ab to create a heat map array (Fig. 3A).
Binding strengths between KIR3DL1 and HLA-B. (A) Heat map array demonstrating relative binding strengths between KIR3DL1 subtype-Fc recombinant proteins and HLA-B allotypes tethered to microspheres, after correction for total bead-bound HLA. The blue-red scale indicates weakest to strongest relative binding. HLA-B*08:01 is shown as a representative Bw6 allotype. The binding assay was performed in triplicate and replicated in two separate experiments. (B) Representative KIR3DL1*001-Fc binding to 721.221 transfectant cells expressing HLA-B*44:02 or B*27:05. The shaded gray histogram represents 721.221-B*27:05 without KIR-Fc; the solid black histogram represents KIR3DL1*001-Fc binding to 721.221-B*27:05; and the dashed histogram represents KIR3DL1*001-Fc binding to 721.221-B*44:02. (C) Quantification of binding of the KIR3DL1-Fc proteins to 721.221 transfectants expressing HLA-B*44:02 or B*27:05. Bars represent SEM and two to three donors each.
As expected, KIR3DL1-Fc proteins did not bind the HLA-Bw6 allotypes (Fig. 3). In general, Bw4-80T allotypes interacted with all KIR3DL1 subtypes weakly, with the exceptions of HLA-B*44 and B*47, which demonstrated notable binding to the *005 and *007 group low isoforms and the *001 and *015 group high KIR3DL1 isoforms. Bw4-80I allotypes exhibited a spectrum of binding to KIR3DL1 ranging from low to high. Most striking, HLA-B*57:01 exhibited the highest binding of all pairings when combined with KIR3DL1*001 or KIR3DL1*005. At the other extreme, HLA-B*52:01 and HLA-B*59:01 were bound very weakly by all subtypes of KIR3DL1. All of the Bw4-80I allotypes exhibited relatively poor binding to KIR3DL1*002 and *020, and established similar and hierarchical binding to each of *005, *007, *001, and *015 group alleles. These findings represent the most comprehensive assessment of KIR3DL1 and HLA-B binding completed in a single array, enabling consideration of relative binding interactions of receptor–ligand subtypes in studies of NK education.
Of interest, B*27:05 did not bind to any of the recombinant Fc receptors, despite a known interaction between both high and low isoforms of KIR3DL1 and HLA-B*27 (13, 21). HLA-B*27:05 is unique among the HLA molecules because it forms homodimers on the cell surface (47), which might not be accurately recapitulated on the synthetic microspheres. To confirm poor binding strength between KIR3DL1 and HLA-B*27:05, hereafter referred to as B*27, we used 721.221 cells transfected with HLA-B*27 or HLA-B*44:02 to measure the relative affinities of KIR3DL1 subtypes. All KIR3DL1-Fc proteins bound poorly to 721.221 cells transfected with HLA-B*27, compared with 721.221 cells transfected with HLA-B*44:02 (Fig. 3B, 3C), confirming that the binding between KIR3DL1 and HLA-B is weak.
To determine if NK education is driven by the strength of KIR–HLA interaction, we used the relative binding of KIR3DL1 and HLA-B subtype pairs in a linear regression analysis with degranulation to 721.221 as the dependent variable. Among Bw4+ NK cells singly expressing KIR3DL1, increasing binding strength was positively associated with greater NK cell reactivity (Fig. 4A, r2 = 0.3591, p = 0 < 0.0001). Separately, each of the KIR3DL1-h and -l populations exhibited a correlation between relative binding affinity and NK reactivity (KIR3DL1-l: r2 = 0.3268, p = 0.0054, Fig. 4B; KIR3DL1-h: r2 = 0.4112, p = 0.0013, Fig. 4C).
Strong interaction between KIR3DL1 and HLA-B is predictive but not necessary for NK cell education. Linear regression analysis for binding affinity and reactive potential among (A) combined KIR3DL1+ NK cells, (B) KIR3DL1-l, or (C) KIR3DL1-h. Because no binding to HLA-B*27 was detected on HLA-coated microspheres, donors exhibiting this Bw4 isoform were excluded from these linear regressions.
We next tested the responsiveness of NK cells exhibiting KIR3DL1*002 or *015-group high-density alleles in donors exhibiting Bw4-80I to evaluate whether strong binding is necessary to generate potent effector function. Despite its high surface expression, KIR3DL1*002 binds weakest to the Bw4 allotypes tested, compared with the other KIR3DL1-h subtypes (Figs. 3A, 5A). Although the responsiveness of KIR3DL1*002–expressing NK cells was lower than that of the other KIR3DL1*015-group isoforms, the difference was not statistically significant (Fig. 5B). Likewise, HLA-B*51 binds strongly to low-expressing KIR3DL1*005 and more weakly to the high-expressing KIR3DL1*002-group alleles. Nevertheless, KIR3DL1-high NK cells from HLA-B*51+ donors exhibit greater reactivity compared with KIR3DL1-low NK cells from HLA-B*51+ donors (Fig. 5C). These data support an incomplete role of binding strength in predicting the responsiveness of KIR3DL1-h+ NK cells.
High-density receptor expression can compensate for poor binding affinity in NK education. (A) Phenotypes of KIR3DL1*002 or KIR3DL1*015. (B) Degranulation of NK cells expressing KIR3DL1*002 or KIR3DL1*015-group high alleles in response to 721.221 cells. (C) Degranulation of KIR3DL1-high or -low NK cells from Bw4-80I+ donors in response to stimulation with 721.221 targets. A minimum of five Bw4-80I+ donors per group is shown; means are compared using two-tailed Student t tests, and errors represent SEM. **p < 0.01.
High-density KIR3DL1 expression is necessary for strong reactivity
Our data suggest that low KIR3DL1 density limits the reactive potential of educated NK cells. We examined NK cells exhibiting KIR3DL1*007, a common allele that is expressed at a low surface density but shares identical ectodomain homology with KIR3DL1*015, a KIR3DL1-h isoform. Like KIR3DL1-h subtypes, KIR3DL1*007 binds Bw4-80I tetramers and HLA-coated microspheres preferentially over Bw4-80T (13, 14, 21, 42) (Fig. 3A). If high KIR3DL1 surface density is necessary for potent responsiveness, the reactivity of KIR3DL1*007+ cells would be limited when compared with the KIR3DL1-h+ NK cells. We examined a Bw4-80I+ donor encoding both KIR3DL1*007 and a KIR3DL1*015-group high allele to understand whether limited receptor density has an impact on NK cell education. In response to 721.221 target cell stimulation, the low-density KIR3DL1 population indeed degranulated less than high-density KIR3DL1+ NK cells from the same individual (Fig. 6A).
High KIR surface expression is critical for maximum NK cell reactivity. (A) NK cell phenotype and function of KIR3DL1-high or -low monopositive NK cells from a Bw4-80I+ donor encoding KIR3DL1*007 and KIR3DL1*015. (B) Surface staining of NK cells expressing *007 demonstrates a similar low-expression phenotype as NK cells expressing KIR3DL1*005. Staining of NK cells expressing high and null alleles is shown for comparison. (C) Degranulation of KIR3DL1+ monopositive NK cells from individuals with the indicated genotypes in response to 721.221 target cells. All samples shown are derived from Bw4-80I+ donors, and a minimum of three independent donors per group, assessed in two separate experiments, are included in the bar graph. *p < 0.05 computed using one-way ANOVA with Tukey’s post hoc test.
To confirm that low expression of KIR is sufficient to limit NK cell responsiveness, we compared the low-expressing KIR3DL1*005 and KIR3DL1*007+ NK cells with the high-expressing KIR3DL1*015-group+ NK cells, all from donors exhibiting Bw4-80I. Binding strength between KIR3DL1 and Bw4-80I is similar for all combinations tested (Fig. 3A), permitting examination of the impact of KIR3DL1 surface density on NK reactivity. NK cells from donors encoding KIR3DL1*007 phenocopied the KIR3LD1*005 low subtypes and exhibited equivalently low responses to 721.221 target cells when compared with NK cells with KIR3DL1*015 (Fig. 6B, 6C). Therefore, despite high binding to the same ligand, KIR3DL1*007+ NK cells do not achieve the same responsiveness as NK cells expressing KIR3DL1*015. Together, these findings indicate that low receptor expression limits NK reactive potential and reveal that discrete cell surface phenotypes encoded by KIR3DL1 subtypes have functional consequences for NK education. Because KIR3DL1 expression density is categorical rather than continuous, it was not possible to perform linear regression analysis using KIR3DL1 expression density as the dependent variable.
Ligand density predicts the magnitude of NK responsiveness
Collectively, our observations establish that the densities of KIR3DL1 allotypes and their binding to HLA-Bw4 calibrate NK education. We next measured surface expression of HLA-Bw4 to determine whether the availability of ligand may also factor in NK education. We confirmed that the anti-Bw4 Ab clone 0007 selectively stains Bw4 epitopes by testing its binding to HLA-coated microspheres. The Ab did not bind Bw6 allotypes, but bound all tested Bw4 allotypes similarly (Supplemental Fig. 2). HLA-Bw4 is expressed at an array of densities ranging from low to high. This is most evident when staining NK cells from Bw4/Bw6 individuals, in whom Bw4 expression is contributed by one allele only. We evaluated 77 individuals with specific but common Bw4 allotypes (Fig. 7A) and compared staining MFIs. We found that, in general, Bw4-80T alleles are expressed with a low surface density that can increase when two Bw4-80T alleles are encoded. A single Bw4-80I allele is expressed with higher surface density compared with a Bw4-80T allele. Coexpression of a second HLA-Bw4 allele, either Bw4-80I or -80T, further enhances surface Bw4-I80 expression. Most strikingly, the allotypes HLA-B*27 and HLA-B*57 are expressed at markedly higher densities compared with all other allotypes (Fig. 7A, 7B).
HLA-Bw4 subtypes are expressed at discrete densities and predict KIR3DL1+ NK education. (A) MFI of HLA-Bw4 staining on 77 PBMCs from donors with the indicated HLA-B allotypes. (B) MFI of Bw4 alleles, categorized by subtype. Donors heterozygous for Bw4 and Bw6 were used. Bw4-80T (non-B*27:05) was used for comparison. Bars represent means ±SEM for a minimum of five donors each and three independent tests. (C) Responsiveness of KIR3DL1-h+ NK cells, educated by the indicated HLA-B subtypes, in response to 721.221 target cells. Each bar represents a minimum of four donors, and data were collected in two independent experiments. (D–F) Linear regression analysis comparing Bw4 surface density and reactivity of KIR3DL1-monopositive NK cells toward 721.221 target cells: (D) KIR3DL1-l, (E) KIR3DL1-h, and (F) KIR3DL1-l and KIR3DL1-h combined. **p < 0.01 computed by one-way ANOVA using Tukey’s post hoc test, comparing to Bw4-80T, non-B*27:05; ****p < 0.0001 computed using one-way ANOVA with Tukey’s post hoc test.
When Bw4 staining data from 65 Bw4/Bw6 individuals are combined, four discrete groups of Bw4 surface expression are evident. NK cells from Bw4-80I/Bw6 individuals displayed consistently high median fluorescence, despite the heterogeneous composition of Bw4-I80 alleles represented. NK cells from Bw4-80T/Bw6 individuals similarly revealed a consistent MFI that was markedly lower than that of Bw4-80I/Bw6 donors. Finally, NK cells from individuals with HLA-B*57 (Bw4-80I) or HLA-B*27 (Bw4-80T) consistently displayed higher HLA-Bw4 surface densities than did other members of their subtype groups (Fig. 7B). Staining using a second anti-Bw4 Ab, clone REA274, revealed the same pattern, confirming that these distinctions result from different levels of protein expression on primary cells (Supplemental Fig. 3).
Discrimination between Bw4 expression patterns allowed us to test the hypothesis that density of HLA-Bw4 affects NK education. We compared the responsiveness of KIR3DL1-h+ NK cells educated by Bw4 alleles categorized by their expression pattern: Bw4-80T, -80I, B*27, or B*57:01. Coincubated with 721.221 target cells, KIR3DL1-h+ NK cells from Bw4-80T+ individuals displayed modest effector function (Fig. 7C). KIR3DL1-h+ NK cells from individuals with any Bw4-80I allele, including HLA-B*57, were strongly reactive toward 721.221 cells.
Strikingly, KIR3DL1-h+ NK cells educated by HLA-B*27 exhibited enhanced responsiveness compared with KIR3DL1-h+ NK cells educated by all other Bw4-80T subtypes, despite its poor binding (Figs. 3C, 7C). Therefore, high-density ligand expression may be sufficient to enhance the overall avidity of KIR3DL1–HLA–Bw4 interactions. Collectively, these findings indicate that for maximum reactivity, strong receptor–ligand binding may be less important when both binding partners are abundant.
For individuals with two Bw4 alleles, contributions from both alleles create a spectrum of Bw4 expression densities. Using linear regression analyses, we tested whether Bw4 expression density can predict the responsiveness of KIR3DL1+ NK cells. HLA-Bw4 expression predicted the responsiveness of the KIR3DL1-l+ NK population (r2 = 0.5077, p = 0.0063, Fig. 7D) and the KIR3DL1-h+ NK population (r2 = 0.5203, p < 0.0001, Fig. 7E) separately and combined (r2 = 0.4466, p < 0.0001, Fig. 7F).
KIR3DL1 and HLA-B subtype combinations predict NK cytotoxicity against autologous HIV-infected CD4+ cells
The hierarchy of response to 721.221 dictated by KIR3DL1 and HLA-B subtype combinations strikingly matches previously reported associations of specific subtype combinations with response to HIV in vitro and in vivo (24, 28, 30, 48, 49). In HIV+ patients, KIR3DL1-h and Bw4-80I subtype combinations are associated with the most delayed progression to AIDS, and combinations of KIR3DL1-h and Bw4-80T or KIR3DL1-l with either Bw4 subtype are associated with lower protection (24). HIV infection mediates downregulation of surface HLA-B expression (25, 26), creating a putative HLA-disparate target for educated KIR3DL1+ NK cells. We therefore hypothesized that the magnitude of NK education would directly correspond to cytolysis of HIV-infected autologous CD4+ T cells.
DHIV3 is a replication-defective HIV mutant strain that differs only from wild-type virus by deletion of the gene encoding the envelope protein (50). We pseudotyped DHIV3 using the glycoprotein from vesicular stomatitis virus to enable infection of primary CD4+ T cells (50). Virus-containing supernatants infected 15.5 ± 9.3% of CD4+ T cells, measured by intracellular staining for the HIV p24 protein. Compared with virus-exposed but uninfected T cells in the same well, DHIV3-infected T cells demonstrated diminished cell surface expression of CD4 and HLA-Bw4, but HLA-C expression remained unchanged (Fig. 8A, 8B, Supplemental Fig. 4A). Despite their distinct cell surface expression densities, expression of Bw4-80T and Bw4-80I allotypes was equivalently reduced, by ∼60% (Fig. 8B, 8C).
Autologous HIV-infected CD4+ T cells behave as HLA-negative targets for educated NK cells. (A) Phenotype of CD4+ T cells infected with HIV. Intracellular p24 staining confirms HIV infection; CD4 is diminished only in the HIV p24+ population. Histograms depict HLA-Bw4 and HLA-C expression among infected cells (black histograms) and uninfected cells (shaded histograms). (B) Representative staining of HLA-Bw4 on infected cells (black histograms) and uninfected cells (shaded histograms) from donors with the indicated HLA-B subtypes. Values indicate the MFI of HLA-Bw4 staining. (C) Percentage change in HLA-Bw4 MFI 48 h after HIV infection in Bw4-80I or Bw4-80T+ donors. (D) Reactivity of NK cells monopositive for KIR2DL1, KIR2DL2/3, or KIR3DL1 from a representative Bw4-80I+, C1C2+ donor. Data are representative of five independent experiments, each including a minimum of six independent donors. (E) In vitro cytotoxicity against autologous DHIV3-infected CD4+ T cells mediated by purified NK cells from individuals with the indicated KIR3DL1 and HLA-B subtypes. Each bar represents mean ±SEM, a minimum of three donors, and data represent five independent trials. Data are analyzed by one-way ANOVA and Tukey’s post hoc test. *p < 0.05, **p < 0.01.
NK cells from HLA-Bw4+ donors exclusively expressing KIR3DL1 degranulate upon coculture with autologous, infected CD4+ T cells, whereas those harvested from individuals lacking Bw4 do not mount a significant response (Fig. 8D). In contrast, neither educated nor uneducated NK cells expressing the HLA-C–specific KIR2DL1/L2/L3 receptors respond to DHIV3-infected autologous CD4+ T cells. Similarly, none of the KIR3DL1, KIR2DL1, or KIR2DL2/3+ NK cells degranulated in response to autologous uninfected CD4+ T cells after expansion (Supplemental Fig. 4B). These findings reflect the selective downregulation of HLA-Bw4 by HIV infection and implicate educated KIR3DL1+ NK cells as the major NK population responding to HIV infection.
To directly measure NK-mediated killing of DHIV3-infected cells, we assessed the viability of infected cells after coculture with autologous NK cells. The proportion of CD4+ T cells infected with DHIV3 was measured by p24 staining prior to addition of NK cells at a 1:1 ratio with infected cells. Identification of the intracellular p24 protein requires cell fixation and permeabilization, precluding its utility to sort infected cells for coculture with NK cells. CD4 dim versus bright expression on CD3+ cells was therefore used as a marker of DHIV3 infection, which permitted same-well comparison of the viabilities of infected and uninfected populations following exposure to autologous NK cells (Supplemental Fig. 4A) (37).
The hierarchy of NK-mediated cytotoxocity against DHIV3-infected cells (Fig. 8E) strikingly recapitulated the pattern seen in NK cell responses to the 721.221 HLA-negative targets (Fig. 2A). Reflecting the reactivity of educated NK cells to HLA downregulation on infected cells, NK cells from KIR3DL1-h or -l and HLA-Bw4+ donors mediated significantly greater killing of autologous DHIV3-infected cells compared with NK cells derived from Bw6 donors. NK cells from donors with KIR3DL1-h and Bw4-80I exhibited the highest cytotoxicity of any subtype combination, illustrating that strong NK education is consistent with high cytolytic function against autologous cells exhibiting diminished class I. Together, these findings explain how KIR3DL1 and HLA-Bw4 isoforms combine to define NK education and affect the control of HIV.
Consistent with their known protective association against HIV infection and progression to AIDS (51–54), NK cells from KIR3DS1 homozygous donors lysed autologous HIV-infected CD4+ T cells. This outcome was notably pronounced in NK cells from a Bw4-80I+ donor (Supplemental Fig. 4C). Similarly, NK from HLA-Bw4 donors homozygous for KIR3DL1-n exhibited higher cytolysis of HIV-infected autologous cells compared with NK cells from Bw6 donors homozygous for KIR3DL1-n (Supplemental Fig. 4D). These findings reflect NK education and explain the observed benefit of the KIR3DL1-n + Bw4 subtype combination against HIV progression (24, 45). Collectively, these findings demonstrate that NK cell education, titrated by KIR3DL1 and HLA-B subtype combinations, predicts their reactivity against diseased cells exhibiting diminished levels of HLA-B. These observations provide functional insight for known genetic influences of KIR3DL1 and HLA-B on HIV control, and illustrate how immunogenetic combinations prepare NK cells for direct recognition and cytolysis of infected cells.
Discussion
NK cells play a prominent role in controlling HIV infection, and subtype combinations of KIR3DL1 and HLA-B are associated with protection from primary infection and delayed progression to AIDS (24, 48, 53, 55, 56). We now demonstrate that defined characteristics of KIR3DL1 and HLA-B subtypes define their interactions and determine NK responsiveness against HLA-negative targets and autologous HIV-infected CD4+ T cells. Using unmanipulated NK cells from healthy donors, we demonstrate that both the binding affinity and the cell surface density of receptor–ligand pairs correlate with the magnitude of NK reactivity. Analysis of naturally occurring, common subtypes reveals that high densities of both receptor and ligand can compensate for low binding affinity to endow strong NK reactivity. The clinical importance of variable NK education is most aptly illustrated in HIV infection, in which highly educated NK cells are the effector population most responsible for viral clearance. The data presented in this article demonstrate a clear biological explanation for the prior observation that epistatic interactions between KIR3DL1-h and Bw4-80I are associated with the greatest protection from HIV progression to AIDS (24). More broadly, they demonstrate that allelic variation for the ubiquitous KIR3DL1 and HLA-B genes generates substantial effector diversity, relevant for other viral and malignant diseases resulting in downregulation of HLA class I (8, 9, 57, 58).
The exact mechanisms by which NK education occurs remain incompletely understood, and universal consensus is lacking. The disarming model asserts that NK cells whose inhibitory receptors enable sensitivity to self-HLA will be rescued from activation-induced anergy and consequently maintain higher responsiveness (59). The licensing model ascribes a more active mechanism for education, wherein NK cells capable of self-HLA recognition are endowed with greater potential for reactivity (60). Regardless of their differences, both models support a program of NK education in which KIR and HLA calibrate NK effector function to ensure that reactive potential is counterbalanced by inhibitory capacity.
Graded NK education is noted in murine NK cells, in which functional studies demonstrate that the quantity and strength of binding between inhibitory Ly49, the murine ortholog to human KIR, and self–MHC class I correspond to the magnitude of their responsiveness. MHC-deficient, hemizygous and homozygous mice display increasing densities of MHC; consequently, NK cells expressing cognate Ly49 inhibitory receptors demonstrate increasing reactive potential against class I–negative target cells (61–63). Further, Ly49C+I+NKG2A+ NK cells, which carry three inhibitory receptors sensitive to the H-2kb MHC I carried by B6 mice, exhibit the greatest cytotoxic response to cells lacking self-MHC, whereas NK cells carrying 2, 1, and 0 inhibitory receptors demonstrate graded decreases in effector capacity (64). Finally, Ly49A+ NK cells, which engage an array of MHC I molecules, demonstrate the highest responsiveness when they develop in the presence of a high-affinity ligand (65). Altogether, these results implicate that both the number of interactions and their binding strength—the avidity of receptor–ligand engagement—calibrate NK education in mice.
In humans, interdonor allelic variation creates extensive complexity by driving diversity in HLA and KIR expression and affinity, with consequences for NK function and education. Increasing copy number of HLA-Bw4 alleles is associated with enhanced reactivity of KIR3DL1+ NK cells (66, 67). We now demonstrate that HLA-Bw4 subtypes are similarly expressed at discrete and subtype-specific levels, where higher Bw4 density is associated with enhanced effector potential. As in mice, coexpression of multiple types of self-sensitive inhibitory KIR corresponds to enhanced NK effector potential (7). We now further show that NK education can vary based on differential expression of a single receptor subtype. We find that because high-density KIR3DL1 expression is necessary for maximum effector potential, education is dependent on the number of receptors expressed. Paired with a highly expressed ligand, high-density receptors can achieve the maximum effector response. Low expression of either receptor or ligand limits the number of interactions, establishing a lower effector capacity.
It should be noted that the Bw4-80I allotypes exhibit both qualities important for NK education: high density and strong binding to most KIR3DL1 isoforms. For this reason, we cannot attribute the high NK education in KIR3DL1-h + Bw4-80I individuals to one quality in isolation of the other. We can, however, conclude that poor binding can be overcome by a high density of both receptor and ligand, but strong binding is inadequate for maximal NK education when the availability of receptor and/or ligand is limited.
Two naturally occurring allotypes support our conclusion that high-density ligands can overcome the requirement for high-affinity HLA-B*51 and B*27:05. Uniquely, HLA-B*27:05 forms surface homodimers that present peptides and exclude β2m. Both the canonical single-chain HLA-B*27:05-β2m and homodimer HLA-B*27:05 complexes interact with KIR3DL1 (68). Although it is possible that homodimerization influences NK education in an additional and undetermined manner, our data imply that the high-density expression of Bw4 molecules is sufficient to potentiate NK cells. In agreement, HLA-B*51, which is expressed at the high-density characteristic of the Bw4-80I group, which does not homodimerize and binds KIR3DL1-h alleles with only moderate affinity, can similarly potentiate NK cells for high effector function. Taken together, B*51 and B*27:05 demonstrate that the high-density expression of Bw4 is associated with strong NK education.
Educated NK cells are characterized by low activation thresholds when challenged with target cells exhibiting stimulatory ligands in the absence of normal class I expression. Whether inhibitory sensitivity of individual cells is similarly tuned remains an outstanding question in the larger field of NK cell biology. We find that NK cells from Bw4-80I+ donors that express KIR3DL1*007 and KIR3DL1*015 exhibit medium and high responsiveness, respectively, despite identical binding affinity. However, challenged with HLA-B*58:01 (a Bw4-80I epitope), KIR3DL1*015 conveys a more profound inhibition compared with KIR3DL1*007 (14). It is possible that in both instances, the density of KIR3DL1 on the cell surface may be a determining factor: for education, high-density expression is associated with greater effector potential. In the context of inhibition, a low cell surface density of KIR3DL1*007 may diminish the overall avidity of the interaction of NK cells with HLA-B, limiting the signal for inhibition.
In mice, educated NK cells exhibit altered organization of activating receptors in the plasma membrane, priming them for responsiveness (69). Further, educated NK cells adopt an open conformation of LFA-1, an adhesion molecule that facilitates NK cell–target cell binding (70). In human cells, combinations of KIR3DL1-h and HLA-B*57 (80I) highly educate NK cells, which are simultaneously capable of cytotoxicity and chemokine and cytokine production (28, 30, 49). Therefore, in addition to enhancing degranulation and direct cytotoxicity, higher NK education may also facilitate proinflammatory signaling, promote chemotaxis, or block chemokine receptors. Complementing a known capacity of educated NK cells to limit the spread of HIV (30, 51), our use of a replication-defective mutant of HIV conclusively demonstrates a role for NK cells in the direct recognition and elimination of infected cells.
Because the availability of activating or inhibitory signals varies by disease, and KIR and HLA are highly polymorphic, the designation of immunogenetic combinations as beneficial depends on the disease and its manipulation of HLA expression. In instances in which HLA expression is diminished, including HIV and HSV infections (25, 26, 71, 72), highly educated NK cells would be expected to mount the most efficient cytotoxic response. In diseases in which HLA expression persists, uneducated NK cells, lacking receptors to self-HLA and therefore refractory to inhibition, mediate superior clinical outcomes (8, 9, 31, 57). In both pathological circumstances, benefit may occur with an intracellularly retained receptor, which in the presence of its ligand, permits effector capacity while remaining immune to inhibition (J.E. Boudreau et al., submitted for publication). By altering receptor and ligand density and binding, KIR3DL1 and HLA-B subtypes diversify the function of NK cells to establish complementary functions. KIR3DL1 and HLA-B therefore represent an immunogenetic axis that can be screened for prognosis and manipulated for therapy.
Disclosures
The authors have no financial conflicts of interest.
Acknowledgments
We thank Dr. Mary Carrington for the DT9 hybridoma used to produce the anti–HLA-C mAb; and Dr. Daniel McVicar for kindly providing cDNA for KIR3DL1*001, *005, and *015, from which KIR-Fc constructs were created. The anti-p24 Ab was obtained from Dr. Susan Zolla-Pazner through the AIDS Reagent Program, Division of AIDS, National Institute of Allergy and Infectious Diseases.
Footnotes
This work was supported by National Institutes of Health Grants R01 HL088134, U01 AI069197, P01 CA23766, P30 CA008748-46, P03 CA008748 (Memorial Sloan Kettering Cancer Center Core Grant), and R01 AI065361 (to E.B.).
The online version of this article contains supplemental material.
Abbreviations used in this article:
- KIR
- killer Ig-like receptor
- β2m
- β2-microglobulin
- MFI
- median fluorescence intensity
- MSKCC
- Memorial Sloan Kettering Cancer Center
- PCR-SSP
- PCR with sequence-specific primers.
- Received November 23, 2015.
- Accepted February 8, 2016.
- Copyright © 2016 by The American Association of Immunologists, Inc.
References
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