SLAMF7 and SLAMF8 receptors shape human plasmacytoid dendritic cell responses to intracellular bacteria

Human blood transcriptomic signatures reveal changes in SLAMF7 and SLAMF8 expression levels in a large panel of infectious diseases. We first conducted a comprehensive analysis of available datasets of blood transcriptomics from healthy individuals and patients suffering from a wide range of infections, including viral (flu, COVID-19), parasitic (malaria), and bacterial (Lyme disease, tuberculosis, staphylococcal infection, streptococcal pharyngitis, brucellosis, salmonellosis) diseases, and highlighted the putative contribution of each of the 9 SLAMF receptor family members, given the known ability of some of them to recognize and respond to pathogens. We identified in these unrelated infections, and especially in bacterial diseases (except Lyme borreliosis for SLAMF8), significant differences between healthy donors (HDs) and infected individuals in the RNA expression of SLAMF7 and SLAMF8 (Figure 1A and Supplemental Figure 1A; supplemental material available online with this article; https://doi.org/10.1172/JCI182467DS1).

Blood transcriptomic signatures reveal the participation of SLAMF receptorsFigure 1

Blood transcriptomic signatures reveal the participation of SLAMF receptors during infection, and of SLAMF7 and SLAMF8 in brucellosis. (A) Heatmap from blood transcriptomics data showing the differential expression of SLAMF receptors between healthy donor (HD) individuals and patients suffering from flu (GSE100160), COVID-19 (GSE152075), malaria (GSE116149), Lyme disease (GSE145974), tuberculosis (GSE19491), staphylococcal infection (GSE100165), streptococcal pharyngitis (GSE158163), brucellosis (GSE69597), and salmonellosis (GSE113866). –Log10P values are shown with intensity of the color representing the degree of variation from HDs. (B and C) RNA-Seq transcriptomic profiling obtained from whole-blood samples from HD controls or primary brucellosis patients in acute, acute relapse, or chronic phase of infection. (B) The median expression of SLAMF7 and SLAMF8 normalized counts is shown. X axis: HD controls, n = 36 (gray); brucellosis patients, acute, n = 54 (purple), acute with relapse, n = 6 (pink), chronic, n = 12 (orange). Y axis: log2 residual gene expression counts. Multiple-comparison Kruskal-Wallis test followed by post hoc Dunn’s test. *P < 0.05; **P < 0.01; ***P < 0.001; ****P < 0.0001. (CE) “SLAMF” refers to SLAMF7 and SLAMF8. (C) Heatmap showing type I IFN module gene expression from whole-blood RNA-Seq data from SLAMFhi (n = 21, dark red) and SLAMFlo (n = 22, turquoise) brucellosis patients. (D) Orthogonal partial least squares discriminant analysis (OPLS-DA) loading plots of cytokines and chemokines measured in serum, harvested at first visit, from SLAMFhi (n = 21, dark red) and SLAMFlo (n = 22, turquoise) brucellosis patients. (E) Univariate analysis of selected cytokine concentration (pg/mL) in serum of SLAMFhi (pink) and SLAMFlo (cyan) brucellosis patients. TNF-α and IFN-α, SLAMFhi (n = 9) and SLAMFlo (n = 8); IL-6, SLAMFhi (n = 16) and SLAMFlo (n = 18). Significant differences are shown (Mann-Whitney test), *P < 0.05.

The SLAM-associated signature in brucellosis patients correlates with type I IFN response. We next assessed the participation of SLAMF7 and SLAMF8 in human host defense against Brucella, an intracellular bacterium whose peculiarity is to evade the host immune response and establish a chronic infection (24). We analyzed genome-wide transcriptomes that we generated by bulk blood RNA-Seq from HDs and brucellosis patients at different stages of the disease (in acute, acute with relapse, or chronic stages at their first visit) (25, 26). Several genes of the SLAM family (SLAMF1, SLAMF7, and SLAMF8) were overexpressed in acute but not in chronic brucellosis patients, unlike stable TLR9 gene expression (Figure 1B and Supplemental Figure 1B). Both SLAMF7 and SLAMF8 RNA levels were positively correlated in HDs and acute brucellosis patients (Supplemental Figure 1C), in spite of the different functions ascribed thus far to SLAMF7 and SLAMF8 (2732). The discriminative value of SLAMF was investigated by receiver operating characteristic curve analysis (Supplemental Figure 1D), giving a receiver operating area under the curve (ROAUC) of 0.7650 (95% CI, 0.6380–0.8919; P = 0.0074) for SLAMF7 and of 0.8736 (95% CI, 0.7764–0.9708; P = 0.0002) for SLAMF8 transcript levels, and confirming the correlation with brucellosis. Categorization of brucellosis patients according to their SLAMF7 and SLAMF8 receptor expression (Supplemental Figure 1E) indicated disparity in the global blood transcriptome of these groups, with MAPK11 and VAMP5 as top genes differentially enriched in SLAMFhi patients, and SESN3 and MYBPH in the SLAMFlo group (Supplemental Figure 1F), despite any differences in dominant symptoms and comorbidities (Supplemental Figure 1G). Importantly, these data unveiled a type I IFN signature in SLAMFhi patients as compared with SLAMFlo individuals (Figure 1C). Cytokine and chemokine levels potentially associated with the clinical outcome of Brucella infection were measured in the sera of SLAMFhi and SLAMFlo brucellosis patients and analyzed by orthogonal partial least squares regression. Cytokine secretion was enriched in sera from SLAMFhi patients, in which top discriminatory analytes included IFN-γ, IL-18, CXCL10, and IL-1RA (Figure 1D). Significantly higher levels of TNF-α, IFN-α, and IL-6 also distinguished SLAMFhi from SLAMFlo brucellosis patients (Figure 1E). Altogether these data identify SLAMF7 and SLAMF8 as hallmarks of acute brucellosis and link their overexpression to type I IFN responses.

The SLAM-associated signature in salmonellosis patients correlates with type I IFN response. Since SLAMF7 and SLAMF8 genes were differentially expressed in the blood transcriptome of patients suffering from infection with Salmonella, a paradigm of bacteria that drive acute inflammation (Figure 1A), we analyzed in depth a first cohort of salmonellosis patients comprising enteric fever patients with positive cultures for both Salmonella enterica Typhi and Salmonella enterica Paratyphi (33). Significantly higher SLAMF7 and SLAMF8 RNA counts were found in whole blood of infected individuals as compared with HDs (Figure 2A), which ranked them in the volcano plot among the 50 most differentially expressed genes (Figure 2B). A significant positive correlation between SLAMF7 and SLAMF8 RNA counts appeared across all groups of individuals, i.e., HDs, culture-confirmed enteric fever patients, and even suspected enteric fever patients (Figure 2C). A second cohort of patients, comprising children under 10 years of age afflicted with diarrheal diseases (34), confirmed a significant upregulation of SLAMF7 and SLAMF8 in those diagnosed with Salmonella gastroenteritis (Figure 2D). Applying recursive partitioning analysis to define the optimal SLAMF7 and SLAMF8 expression cutoffs allowed us to categorize these salmonellosis patients into SLAMFhi (n = 15, 36%) and SLAMFlo (n = 26, 64%) subgroups, with similar demographic and clinical features (Supplemental Figure 1H). Strikingly in both cohorts, Salmonella-infected patients showed an elevated type I IFN signature as compared with HDs, which was particularly enriched in SLAMFhi patients (Figure 2E and Supplemental Figure 1, I and J).

Blood transcriptomic signatures reveal the participation of SLAMF7 and SLAMFigure 2

Blood transcriptomic signatures reveal the participation of SLAMF7 and SLAMF8 in salmonellosis. (A) SLAMF7 and SLAMF8 normalized counts obtained by transcriptomic profiling analysis from whole-blood samples from a first cohort (GSE113866) composed of HD (n = 68, gray) controls and enteric fever patients with positive cultures for Salmonella enterica Typhi (ST; n = 19, dark green) or Salmonella enterica Paratyphi (SPT; n = 12, light green). Significant differences are shown (multiple-comparison Kruskal-Wallis test followed by post hoc Dunn’s test). ****P < 0.0001. (B) Volcano plot showing differentially expressed genes between HDs and salmonellosis patients from the first cohort (upregulated, red; and downregulated, cyan). (C) Correlation between SLAMF7 and SLAMF8 RNA counts across all groups of individuals, i.e., HDs (grays, n = 47) and patients with suspected enteric fever (n = 71, yellow) or culture-confirmed enteric fever (n = 30, green). Non-parametric Spearman’s correlation test. (D and E) “SLAMF” refers to SLAMF7 and SLAMF8. (D) SLAMF7 and SLAMF8 normalized counts obtained by transcriptomic profiling analysis from whole-blood samples from a second cohort (GSE69529) composed of HD (n = 35, gray) controls and age-matched patients with Salmonella gastroenteritis (n = 36, green). Multiple-comparison Kruskal-Wallis test followed by post hoc Dunn’s test. *P < 0.05; **P < 0.01. (E) Heatmap showing type I IFN module gene expression from whole-blood RNA-Seq data analysis of the second cohort with HDs (n = 35, gray) and patients with Salmonella gastroenteritis categorized according to their SLAMF7 and SLAMF8 expression in SLAMFhi (n = 15, dark red) and SLAMFlo (n = 26, turquoise) individuals.

SLAMF7 and SLAMF8 are overexpressed in human pDCs upon TLR7/8 stimulation. Considering that SLAMF receptors are predominantly expressed in innate and adaptive immune cells, we then assessed SLAMF7 and SLAMF8 expression in the discrete immune cell populations of peripheral blood mononuclear cells (PBMCs) from HDs at steady state and after stimulation with TLR ligands by spectral flow cytometry. pDCs were the cell subpopulation expressing the highest basal levels of SLAMF7 or SLAMF8, with an elevated expression close to that of monocytes after stimulation with the ligand of TLR7/8, R848, or the ligand of TLR4, the prototypical Escherichia coli LPS (Figure 3, A and B). Notably, SLAMF7 and SLAMF8 were also constitutively expressed but at much lower levels in pDC-like cells and conditional DC 1 (cDC1) and conventional DC 2 (cDC2) DCs with a limited effect of TLR7/8 or TLR4 stimulation (Figure 3, A and B).

SLAMF7 and SLAMF8 are expressed at high levels in pDCs.Figure 3

SLAMF7 and SLAMF8 are expressed at high levels in pDCs. (A and B) SLAMF7 and SLAMF8 surface expression on the different cell types of PBMCs from HDs was analyzed by spectral flow cytometry. (A) Representative histograms at the resting state with positivity indicated by a vertical gray bar are shown. n = 12. (B) Analysis 24 hours after treatment (or not) of PBMCs with R848 or E. coli LPS (100 ng/mL) for 24 hours. One donor per n; n = 12. Dot plots represent the median fluorescence intensity (MFI; color) and the percentage of expression (size) in a determined cell type. Color and size codes are indicated on the right. (C) Purified human primary pDCs were stimulated with CpG (TLR9 ligand, 100 ng/mL), poly(I:C) (TLR3 ligand, 100 ng/mL), PAM3CSK4 (TLR1/2 ligand, 100 ng/mL), flagellin (TLR5 ligand, 100 ng/mL), E. coli LPS (TLR4 ligand, 100 ng/mL), R848 (TLR7/8 ligand, 100 ng/mL), or B. melitensis LPS (10 μg/mL) for 24 hours. Then, SLAMF7 and SLAMF8 levels of expression were evaluated by flow cytometry. Histograms presenting MFI of SLAMF7 and SLAMF8 are shown. Mean ± SD. One donor per n; n = 11. Significant differences are indicated. For each individual experiment, values for CpG or R848 conditions were always above those of the mock-treated cells for SLAMF7, and above (n = 10) or similar (n = 1) for SLAMF8 MFI. One-way ANOVA followed by Dunnett’s multiple-comparison test. ****P < 0.0001. (D) Representative confocal microscopy images of CAL-1 cells in basal conditions stained for SLAMF7 (turquoise, top left and right panels), SLAMF8 (red, bottom left and right panels), LAMP-1 (magenta, middle and right panels), and nuclei (DAPI, blue, right panels). Scale bars: 10 μm. n = 5.

The association of a type I IFN signature with SLAMF7 and SLAMF8 upregulation in brucellosis and salmonellosis patients together with their high expression in pDCs and the known role of these cells in type I IFN production led us to explore the expression of these 2 surface receptors in purified human pDCs at resting state and after exposure to various stimuli comprising TLR ligands and bacterial components (Figure 3C and Supplemental Figure 2A). Sixty-six percent and 10% of primary pDCs expressed basal levels of SLAMF7 and SLAMF8, respectively (Supplemental Figure 2A). TLR7 stimulation with R848 significantly increased the expression levels of both receptors in human primary pDCs, unlike other TLR ligands or bacterial components such as poly(I:C), PAM3, flagellin, or E. coli or Brucella melitensis LPS (Figure 3C and Supplemental Figure 2A). The TLR9 ligand CpG upregulated the surface expression of SLAMF7 only (Figure 3C). In CAL-1 cells, a human pDC cell line that recapitulates many features of its primary counterparts, SLAMF7 and SLAMF8 were constitutively expressed in 50% and 5% of cells, respectively (Supplemental Figure 2B). Confocal microscopy revealed an intracellular pool of both molecules, located in vesicles negative for the late compartment marker LAMP1 (Figure 3D). As in primary pDCs, CpG or R848 triggered a significant rise in the percentage of SLAMF7+ CAL-1 cells, while only R848 increased the SLAMF8+ CAL-1 cell percentage (Supplemental Figure 2B). Neither other TLR ligands nor exposure to outer membrane vesicles (OMVs) derived from B. abortus wild-type (WT) or lacking the outer membrane protein Omp25 (Supplemental Figure 2B), which we previously demonstrated to interact with SLAMF1 in murine DCs (14), modified the proportion of SLAMF7+ and SLAMF8+ cells in this human pDC cell line. Altogether, we show that the SLAMF7 and SLAMF8 receptors are expressed in human pDCs and upregulated by a TLR7/8 agonist.

Human pDC infection by Brucella or Salmonella increases SLAMF7 and SLAMF8 expression. To determine whether SLAMF7 and SLAMF8 expression may vary in human pDCs during brucellosis, we infected CAL-1 cells with B. abortus or B. melitensis, the 2 main pathogenic species causing infection in humans. Both mCherry-Brucella species efficiently infected CAL-1 cells (Figure 4A and Supplemental Figure 2C). mCherry–B. abortus or –B. melitensis infection highly increased SLAMF7 surface expression (Figure 4B) at 48 hours post-infection (p.i.) in infected as well as bystander cells (Figure 4C), suggesting that soluble factor(s) mediate SLAMF7 overexpression in non-infected cells. In contrast, only the percentage of SLAMF8+ infected cells (and not bystander cells) was significantly augmented by B. abortus or B. melitensis infection, thereby explaining the slight rise in the total SLAMF8+ CAL-1 cell percentage at 48 hours p.i. (Figure 4, D and E). Altogether, human pDCs upregulate via different mechanisms the levels of SLAMF7 and SLAMF8 upon Brucella infection.

Human pDC infection by Brucella or Salmonella induces SLAMF7 and SLAMF8 expFigure 4

Human pDC infection by Brucella or Salmonella induces SLAMF7 and SLAMF8 expression. (A) Flow cytometry contour plot graphs showing percentage of CAL-1 cells infected (red) with mCherry–Brucella abortus or melitensis at 48 hours post-infection (p.i.) (MOI 5,000). n = 4. (BE) SLAMF7 or SLAMF8 expression in CAL-1 cells at 48 hours p.i. with B. abortus (purple) or melitensis (pink-purple) (MOI 5,000). (B) Left: Percentage of total SLAMF7+ cells. Each dot represents an independent experiment. Mean ± SD. n = 3–4. Right: Histograms of SLAMF7 fluorescence intensity (FI). Vertical positivity bar (gray). (C) In cells from B, percentages of SLAMF7+ infected (light purple) or bystander (light blue) cells. (D) As in B, but for SLAMF8. (E) As in C, but for SLAMF8. (F) Flow cytometry contour plot graphs showing percentage of primary pDCs and CAL-1 cells infected (red) with DsRed–Salmonella enterica Typhimurium at 24 hours p.i. (MOI 25). n = 12. (G) SLAMF7 and SLAMF8 MFI of heat-killed (HK) or live Salmonella–infected or mock CAL-1 cells at 24 hours p.i. Mean ± SD. n = 3–4. (H) Percentage of SLAMF7+ and SLAMF8+ CAL-1 cells at 24 hours after stimulation with RNA from E. coli (Ec) or Salmonella with or without RNase. Mean ± SD. n = 3. (I) Relative MFI of SLAMF7 and SLAMF8 to mock-treated cells, put arbitrarily at 1, of human primary pDCs at 24 hours after Salmonella RNA stimulation or infection. Mean ± SD. n = 3. (J) Left: Dot plot graph showing CD80 and PD-L1 expression of mock-treated (black), R848-stimulated (orange), or Salmonella-infected (green) primary pDCs defining 4 subsets, P0–P3. Right: SLAMF7 (left) and SLAMF8 (right) MFI in pDC subsets at 24 hours p.i. with Salmonella. Mean ± SD. n = 3. Statistical differences were all calculated using 1-way ANOVA followed by Dunnett’s multiple-comparison test. *P < 0.05; **P < 0.01; ***P < 0.001; ****P < 0.0001.

We next evaluated SLAMF7 and SLAMF8 expression in pDCs upon Salmonella enterica Typhimurium infection. By using a DsRed-expressing bacterium, we showed by flow cytometry and confocal microscopy that Salmonella efficiently infected human primary pDCs as well as CAL-1 cells (Figure 4F and Supplemental Figure 2D). Surface expression of SLAMF7 and SLAMF8, but not SLAMF1, significantly increased in CAL-1 cells infected with live Salmonella, as well as the percentage of SLAMF7+ and SLAMF8+ infected cells (Figure 4G and Supplemental Figure 2, E and F). The fact that stimulation with heat-killed Salmonella had no effect (Figure 4G) opened up a possible involvement of the ligand of TLR7, the viability-associated pathogen-associated molecular pattern (vita-PAMP) microbial RNA (35). Indeed, prokaryotic RNA purified from E. coli or S. Typhimurium increased the percentage of SLAMF7+ and SLAMF8+ CAL-1 cells in an RNase-dependent manner (Figure 4H), as well as the surface levels of SLAMF7 and SLAMF8, in primary human pDCs, like in the case of Salmonella infection (Figure 4I). This confirms the role of RNA sensing in SLAMF7 and SLAMF8 upregulation in human pDCs. Notably, both receptors were enriched in the P1 (PD-L1+CD80–) and P2 (PD-L1+CD80+) pDC subsets (Figure 4J), specialized in type I IFN production for the former and displaying both innate and adaptive functions for the latter (36). Altogether, we establish that human pDCs upregulate the levels of both SLAMF7 and SLAMF8 upon infection with live Salmonella, in a process requiring bacterial viability and prokaryotic RNA recognition.

SLAMF7 and SLAMF8 are required for full activation of Brucella-infected pDCs. To explore SLAMF7 and SLAMF8 function in human pDCs, we generated specific knockdown (KD) CAL-1 cells by lentiviral transduction of short hairpin RNA (shRNA) targeting these receptors (Supplemental Figure 3A). Stable clones were selected based on GFP expression and specific SLAMF receptor silencing as measured by flow cytometry and quantitative reverse transcriptase PCR (Supplemental Figure 3, B–D). The basal level of SLAMF7 was downregulated in SLAMF8-KD cells compared with that in non-targeting shRNA control (shCTRL) or CAL-1 cells (Supplemental Figure 3, C and D). After R848 stimulation, SLAMF8 expression was also significantly reduced in SLAMF7-KD CAL-1 cells; conversely, silencing SLAMF8 decreased SLAMF7 surface expression (Supplemental Figure 3D). These observations were confirmed at the protein and mRNA levels upon infection (Supplemental Figure 3C). Functionally, knockdown of SLAMF7 or SLAMF8 in CAL-1 cells significantly abrogated the increased expression of maturation markers (HLA-DR, CD80, CD86) and of the coinhibitory molecule PD-L1 24 hours after treatment with R848 (Supplemental Figure 3E).

Then, we asked about the possible role of the pDC SLAMF7 and SLAMF8 receptors in Brucella virulence. Silencing SLAMF7 or SLAMF8 significantly reduced the percentage of B. abortus– and B. melitensis–infected CAL-1 cells 48 hours p.i. (Figure 5A). CAL-1 cells after B. abortus infection harbored, as expected given Brucella’s extended immunosuppressive abilities, a moderate level of pDC activation, with a low increase of maturation marker expression and secretion of TNF-α, the only detectable cytokine by multiplex assay (Figure 5, B and C, and Supplemental Figure 3, F and G). Silencing of SLAMF7 or SLAMF8 significantly diminished the proportion of HLA-DR– and CD86-expressing pDCs, as well as of cells expressing PD-L1, but only in SLAMF8-silenced pDCs for the latter (Figure 5B). In addition, B. abortus–elicited TNF-α secretion was completely abolished in the SLAMF7- or SLAMF8-KD cells at 48 hours p.i. (Figure 5C). Altogether, these results indicate that SLAMF7 and SLAMF8 are required for full activation of human pDCs during Brucella infection.

SLAMF7 and SLAMF8 regulate pDC activation and cytokine secretion during intFigure 5

SLAMF7 and SLAMF8 regulate pDC activation and cytokine secretion during intracellular bacterial infection. (A) CAL-1 and SLAMF-silenced CAL-1 cells were infected with mCherry–B. abortus (dark purple) or –B. melitensis (purple) (MOI 5,000), and cells harboring bacteria were analyzed at 48 hours p.i. by flow cytometry. Column graphs showing mCherry-Brucella+ cells. Mean ± SD. n = 4. (B and C) CAL-1 and SLAMF-KD cells were infected with mCherry–B. abortus (dark purple) (MOI 5,000) for 48 hours. (B) Expression of human pDC activation markers was determined by flow cytometry. Column graphs showing percentages of HLA-DR+ (left), CD80+ (middle), and PD-L1+ (right) cells. Mean ± SD. n = 4. (C) Cytokine secretion was determined in culture supernatants using multiplex assay. Column graphs showing cytokine concentration (pg/mL). Each individual point represents 1 independent experiment. Mean ± SD. n = 4. (D and E) CAL-1 cells and CAL-1 cells stably transduced with SLAMF (2 independent clones, A and B, analyzed per type of SLAM-KD cells, SLAMF7 or SLAMF8, as well as 1 control clone stably transduced with a short hairpin empty vector, shCTRL) were infected with Salmonella Typhimurium (MOI 25, green) or not (black) for 24 hours. (D) Expression of activation markers was determined by flow cytometry. Column graphs showing percentages of HLA-DR+ (left), CD80+ (left center), CD86+ (right center), and PD-L1+ (right) cells. Each individual point represents 1 independent experiment. Mean ± SD. n = 3–4 except 5 for HLA-DR. (E) Cytokine secretion was determined in culture supernatants using multiplex assay. Column graphs showing cytokine concentration (pg/mL). Each individual point represents 1 independent experiment. Mean ± SD. n = 3–4. Statistical differences were all calculated using 2-way ANOVA followed by Šidák’s multiple-comparison test or non-parametric Mann-Whitney test for unpaired samples. *P < 0.05; **P < 0.01; ***P < 0.001; ****P < 0.0001.

SLAMF7 and SLAMF8 are essential for activation and cytokine secretion of Salmonella-infected human pDCs. To determine whether these two SLAMF receptors affect human pDC function during Salmonella infection, we analyzed our KD and shCTRL clones and CAL-1 cells at 24 hours p.i. Silencing of SLAMF7 and SLAMF8 hindered the maturation of human pDCs infected with Salmonella compared with that of shCTRL or CAL-1 cells (Figure 5D), without affecting cell death (Supplemental Figure 3H). Consistently, cytokine secretion by CAL-1 cells, measured by multiplex assay, of type I and III IFN (IFN-α2, IFN-β, IFN-λ1), IL-1RA, TNF-α, and IL-6 was completely abolished in SLAMF7- or SLAMF8-KD cells (Figure 5E). No IFN-γ, IL-1β, nor IL-10 production was detected at this time point whatever the cell type (Supplemental Figure 3I). The impaired activation in SLAMF7- or SLAMF8-KD cells was also evidenced at the RNA level, with significantly reduced expression levels of inflammatory cytokine genes like IFNB and TNFA, of an IFN-stimulated gene (ISG15), and of the gene encoding IκBα, NFKBIA (Supplemental Figure 3J). Conversely, the mRNA levels of the antiinflammatory cytokine IL-10 were greatly elevated (>500-fold) upon silencing of SLAMF7 or SLAMF8, in comparison with CAL-1 or shCTRL cells (Supplemental Figure 3J). To analyze the role of SLAMF7 and SLAMF8 in human primary pDCs, we next examined the effect of the direct engagement of one of these two receptors by a specific antibody or its isotype control on the response of these cells to Salmonella infection (Figure 6). Cross-linking of SLAMF7 or SLAMF8 in human primary pDCs significantly increased the expression of maturation markers (HLA-DR, CD80, CD86) and of the coinhibitory molecule PD-L1 at 24 hours after infection with S. Typhimurium when compared with the levels observed in the isotype control antibody condition (Figure 6A). It also resulted in the over-secretion of cytokines (Figure 6B), and in particular of type I IFN (IFN-α, IFN-β, IFN-λ1, IFN-λ2) and CXCL10, in the culture medium (Figure 6, B and C). Collectively, these findings indicate that SLAMF7 and SLAMF8 play a positive regulatory role in human pDC responses to bacterial infection by promoting cell activation and proinflammatory cytokine and IFN type I secretion.

SLAMF7 or SLAMF8 engagement in human primary pDCs elicits strong cell activFigure 6

SLAMF7 or SLAMF8 engagement in human primary pDCs elicits strong cell activation, as well as high cytokine and type I and III IFN secretion. (AC) Purified human primary pDCs from healthy individuals were infected with Salmonella Typhimurium (MOI of 25) and, after 1 hour, washes, and addition of gentamicin, SLAMF7 or SLAMF8 were engaged by cross-linking with 10 μg/mL of a specific antibody (anti-SLAMF7, blue filled circles, or anti-SLAMF8, pink filled circles) or its isotype control (empty circles) for 1 hour. Cells were then analyzed at 24 hours p.i. (A) Expression (MFI) of human pDC activation markers (HLA-DR, left; CD80, middle left; CD86, middle right; and PD-L1, right) was determined by flow cytometry. Each individual point represents 1 independent experiment. Mean ± SD. One donor per n; n = 6. Significant differences are indicated. Paired 2-tailed t test. *P < 0.05; **P < 0.01. (B) Heatmap of selected cytokines and chemokines, analyzed by multiplex flow cytometry in cell culture supernatants. Z scores of cytokine/chemokine concentrations are shown with intensity of the color representing the degree of variation in each condition from HD pDCs treated with the isotype control antibodies. One donor per n; n = 6. (C) Secretion of different IFN type I and III subspecies and of CXCL10 (pg/mL) determined in cell culture supernatants using multiplex flow cytometry. Each individual point represents 1 independent experiment. Mean ± SD. One donor per n; n = 6. Significant differences are shown. Paired 2-tailed t test. *P < 0.05; **P < 0.01. No P value indicates not significant.

SLAMF7 and SLAMF8 engagement causes Salmonella persistence in human pDCs. Phagocytosis and elimination of hematopoietic tumor cells by macrophages require SLAMF7 independently of SLAM-associated adaptors (37). Hence, we asked whether SLAMF7 or SLAMF8 receptors contribute to bacteria phagocytosis by human pDCs. Evaluation of bacteria internalization at 2 hours p.i., in contrast to later time points, disclosed no differences in the percentage of DsRed-Salmonella+ cells between CAL-1 and SLAMF-KD cells (Figure 7A), and in CFU numbers (Figure 7B), excluding a role for SLAMF7 or SLAMF8 in bacteria phagocytosis by pDCs. Kinetics experiments showed that intracellular bacterial loads decreased over time in CAL-1 cells, suggesting that pDCs actively kill internalized Salmonella (Figure 7C). However, SLAMF7- or SLAMF8-KD cells eliminated bacteria more efficiently than CAL-1 and shCTRL cells, as evidenced by a reduced percentage of DsRed-Salmonella+ cells and lower CFU and number of bacteria per cell at 24 hours p.i. (Figure 7, A, B, and D). This decrease of DsRed-Salmonella+ cells when SLAMF7 or SLAMF8 was silenced in CAL-1 cells reversed to an increase of DsRed-Salmonella+ cells when one of these two receptors was engaged by cross-linking with a specific antibody in primary human pDCs (Figure 7E). Higher CFUs were also observed in this latter condition (Figure 7F). Altogether, these findings in CAL-1 cells and primary pDCs demonstrate that SLAMF7 or SLAMF8 engagement fosters Salmonella persistence in human pDCs.

SLAMF7 and SLAMF8 limit Salmonella elimination by human pDCs.Figure 7

SLAMF7 and SLAMF8 limit Salmonella elimination by human pDCs. (AC) CAL-1 and SLAMF7- or SLAMF8-silenced (2 clones, A and B, per SLAMF-KD type) and shCTRL CAL-1 cells were infected with DsRed–S. Typhimurium (MOI 25) for the indicated times p.i. One-way ANOVA followed by Dunnett’s multiple-comparison test. (A) Percentages of DsRed-Salmonella+ cells determined by flow cytometry at 2 hours (Internalization), 24 hours, and 48 hours p.i. Each individual point represents 1 independent experiment. Mean ± SD. n = 4–5. (B) Bacterial intracellular burden (CFU/mL, log) at indicated time points. Each individual point represents 1 independent experiment. Mean ± SD. n = 2 (2 hours), n = 5 (24 hours). (C) Kinetics experiment. Salmonella loads (CFU/mL, log) at indicated time points. Each individual point represents 1 independent experiment. Mean ± SD. n = 4. (D) Left: Confocal images of CAL-1 and SLAMF-silenced cells infected with DsRed–S. Typhimurium at 24 hours p.i. Salmonella, yellow; actin, purple. Scale bars: 20 μm. n = 3. Right: Violin plots depicting the number of bacteria per cell. Pooled data (total cells counted, 50–66). Multiple-comparison Kruskal-Wallis test followed by post hoc Dunn’s test. (E) Primary human cells were infected with DsRed–S. Typhimurium (MOI 25) and, after 1 hour, washes, and addition of gentamicin, SLAMF7 or SLAMF8 were engaged by cross-linking with a specific antibody or its isotype control. Percentages of DsRed-Salmonella+ cells at 24 hours p.i. Each individual point represents 1 independent experiment. Mean ± SD. One donor per n; SLAMF7, n = 7; SLAMF8, n = 6. Paired 2-tailed t test. (F) Salmonella loads (CFU/mL, log) at 24 hours p.i. in human primary pDCs treated as in E. Each individual point represents 1 independent experiment. Mean ± SD. One donor per n; n = 7. Paired 2-tailed t test. For all panels, significant differences are shown. *P < 0.05; **P < 0.01; ***P < 0.001. No P value indicates not significant.

SLAMF7 and SLAMF8 facilitate Salmonella persistence in human pDCs by limiting mitochondrial ROS accumulation. Given that SLAMF8 inhibits superoxide production via the NOX2 complex in murine macrophages (30), and that enhanced activation and oxidative burst reported in SLAMF8-deficient macrophages result in augmented Salmonella clearance (28), we analyzed the content of total reactive oxygen species (ROS) in CAL-1 and SLAMF7- or SLAMF8-KD cells first loaded with the CellROX Deep Red (Thermo Fisher Scientific) fluorogenic probe and then infected with Salmonella. Bacterial infection triggered higher levels of ROS in SLAMF7- or SLAMF8-KD cells as compared with CAL-1 cells (Figure 8A). Then, to monitor the oxidative stress directly sensed by the bacteria, we used a Salmonella mutant strain, in which GFP synthesis is upregulated in the presence of exogenous or endogenous H2O2 (38). As shown in Figure 8B, from 180 minutes p.i. onward, GFP fluorescence was significantly more elevated in bacteria infecting SLAMF7-KD or SLAMF8-KD cells than in CAL-1–infecting bacteria. Silencing SLAMF7 or SLAMF8 in pDCs thus augments the oxidative stress sensed by the bacteria.

SLAMF7 and SLAMF8 restrict Salmonella clearance by limiting mitochondrial RFigure 8

SLAMF7 and SLAMF8 restrict Salmonella clearance by limiting mitochondrial ROS accumulation in human pDCs. (A) Global cellular ROS in CAL-1 and SLAMF7- or SLAMF8-KD cells loaded with CellROX Deep Red fluorogenic probe, infected with S. Typhimurium (green) for 4 hours and analyzed by flow cytometry. Left: Column graphs of the relative MFI (rMFI) of CellROX Deep Red to mock-treated CAL-1 (gray) cells put arbitrarily at 1. Each individual point represents 1 independent experiment. Mean ± SD. n = 3. Right: Histograms for total ROS content upon Salmonella infection (FMO, fluorescence minus one negative control). (B) Oxidative stress detection by intracellular Salmonella. CAL-1 and SLAMF-silenced cells were infected with the ROS-sensing mutant Salmonella strain carrying the ahpC-gfp (left, scheme). Cells were lysed at different time points p.i., and GFP fluorescence intensity of intracellular bacteria was determined by flow cytometry. Results (right) are representative of n = 3. (C and D) Mitochondrial superoxide detection in CAL-1 and SLAMF-silenced cells infected with DsRed–S. Typhimurium for 4 hours using MitoSOX and flow cytometry. (C) Column graphs show MitoSOX MFI in the total population. Each individual point represents 1 independent experiment. Mean ± SD. n = 3. (D) mtROS levels in gated Salmonella-infected cells from C. (E and F) After internalization (2 hours p.i.), DsRed-Salmonella–infected cells were treated or not with MitoTEMPO (100 μM) and further incubated for the indicated times. n = 4 for CAL-1; n = 3 for SLAMF-KD. (E) Proportion of DsRed-Salmonella–infected cells determined at 48 hours p.i. by flow cytometry. Each individual point represents 1 independent experiment. Mean ± SD. (F) Intracellular bacterial burden determined by CFU quantification at 24 hours p.i. Each individual point corresponds to 1 independent experiment. (AF) Two-way ANOVA followed by Šidák’s multiple-comparison test. *P < 0.05; **P < 0.01; ***P < 0.001; ****P < 0.0001.

Since mitochondrial ROS (mtROS) influence type I IFN–producing capacity, activation, and antigen cross-presentation effectiveness of human pDCs (39, 40), and participate as well in microbial clearance in macrophages (41, 42), we next asked whether the enhanced oxidative stress in SLAMF7- or SLAMF8-KD cells involves mtROS. Specific mitochondrial superoxide detection using MitoSOX (Thermo Fisher Scientific) and flow cytometry revealed that Salmonella infection increased mtROS levels in pDCs (Figure 8C), and caused a significantly higher mtROS accumulation in SLAMF7- or SLAMF8-KD cells as compared with CAL-1 cells harboring bacteria (Figure 8D). When mtROS were inhibited in Salmonella-infected cells using MitoTEMPO (Sigma-Aldrich), a mitochondria-targeted antioxidant, the percentage of infected CAL-1 cells and intracellular bacterial burden remained stable (Figure 8E), but in SLAMF-KD cells a partial reversion in terms of proportion of DsRed-Salmonella+ cells and CFU counts occurred (Figure 8F). These results indicate that in human pDCs, SLAMF7 and SLAMF8 help Salmonella persistence by limiting excessive mtROS accumulation.

SLAMF7 and SLAMF8 stimulate the NF-κB, IRF7, and STAT-1 pathways in pDCs. To decipher the intracellular signaling pathways triggered downstream of SLAMF7 and SLAMF8 in human pDCs, we performed phospho-flow cytometry on infected cells. Phosphorylation levels of NF-κB p65, IRF7, and STAT-1 were significantly higher in Salmonella-infected CAL-1 or shCTRL cells than in SLAMF7- or SLAMF8-KD cells (Figure 9, A and B). A similar trend was also observed for phosphorylated AKT and p38. Consistently, by confocal microscopy, the percentage of phosphorylated NF-κB p65+ cells at 3 hours p.i. was lower when SLAMF7 or SLAMF8 was silenced (Figure 9C). In human primary pDCs cross-linked with specific antibodies, phosphorylation levels of NF-κB p65, IRF7, and STAT-1 were significantly above those observed in the isotype control antibody condition (Figure 9D). SLAMF receptor functions are controlled by the SLAM-associated protein (SAP) family of adaptors, comprising SAP, EAT-2, and ERT, which either block the recruitment of inhibitory phosphatases (like SHP-1 or SHP-2) or directly activate signaling pathways. These interactions dictate the activation or inhibitory nature of the SLAMF receptors upon engagement (43, 44). Here, we found that EAT-2 was highly expressed in primary human pDCs (Figure 9E), as well as in CAL-1 cells, and stable upon infection with Salmonella and when SLAMF7 or SLAMF8 was downregulated (Figure 9F). Finally, we examined whether the higher levels of mtROS found in the absence of SLAMF7 or SLAMF8 influence the intracellular signaling initiated in pDCs by Salmonella infection. Treatment with MitoTEMPO restored the phosphorylation levels of NF-κB p65 in SLAMF7- or SLAMF8-KD cells at 3 hours p.i. to those found in CAL-1 or shCTRL cells (Figure 9G). In contrast, mtROS pharmacological inhibition did not affect the phosphorylation of STAT-1 or IRF7 (Figure 9G). These data imply that, in Salmonella-infected pDCs, moderation of mtROS levels by SLAMF7 or SLAMF8 supports NF-κB activation.

SLAMF7 or SLAMF8 triggers NF-κB, IRF7, and STAT-1 signaling in human pDCs.Figure 9

SLAMF7 or SLAMF8 triggers NF-κB, IRF7, and STAT-1 signaling in human pDCs. (AC) CAL-1 and stably transduced (shCTRL, shSLAMF7, shSLAMF8) CAL-1 cells were infected with DsRed–S. Typhimurium (MOI 25) for 3 hours, and then processed for phospho-flow cytometry or confocal microscopy. (A) Heatmap showing MFI levels for p-IRF7, p–NF-κB p65, p–STAT-1, p-p38, p–ERK-1/2, p-AKT, and p-IRF3 of Salmonella-infected cells relative to mock condition. Multiple-comparison Kruskal-Wallis test followed by post hoc Dunn’s test. n = 4–5. (B) Column graphs showing relative MFI of selected phosphorylated proteins in infected cells. Mean ± SD. n = 5. (C) Confocal images (scale bars: 20 μm) (left) and quantification (right) of p–NF-κB p65 in Salmonella-infected CAL-1 and stably transduced CAL-1 cells. n = 3. One-way ANOVA followed by Dunnett’s multiple-comparison test. (D) Primary human pDCs were infected and analyzed as in B but, after 1 hour, SLAMF7 or SLAMF8 were engaged by cross-linking with a specific antibody or its isotype control. One donor per n; n = 10. (E) Flow cytometry histogram of EAT-2 expression (fluorescence intensity [FI]) in primary human pDCs with positivity indicated by a vertical gray bar. One donor per n; n = 3. (F) Left: Flow cytometry histogram of EAT-2 FI in CAL-1 cells at resting state with positivity bar. Right: Percentages of EAT-2+ CAL-1 and stably transduced cells, infected (green) or not (gray) as in B. n = 2. (G) CAL-1 and stably transduced CAL-1 cells were infected as in B; after 1 hour, washes, and gentamicin addition, MitoTEMPO (100 μM) was added for 2 hours. Then cells were processed for phospho-flow cytometry. Column graphs showing relative MFI of selected phosphorylated proteins in infected cells. Mean ± SD. n = 3. Two-way ANOVA followed by Šidák’s multiple-comparison test. Only statistically significant differences are shown. *P < 0.05; **P < 0.01; ***P < 0.001; ****P < 0.0001. No P value indicates not significant.

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