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Research ArticleInfectious disease Free access | 10.1172/JCI77014
1Department of Medicine, Department of Microbiology and Immunology, Department of Pathology, McGill International TB Centre, McGill University Health Centre, Montreal, Quebec, Canada.
2Department of Biomedical Engineering, McGill University, Montreal, Quebec, Canada.
3Sainte-Justine Hospital Research Centre, Department of Pediatrics, and
4Department of Anatomy and Cell Biology, Faculty of Medicine, University of Montreal, Quebec, Canada.
Address correspondence to: Maziar Divangahi, Assistant Professor of Medicine, Department of Microbiology and Immunology, McGill International TB Centre, McGill University, Meakins-Christie Laboratories, 3626 St. Urbain Street, Montreal, Quebec, H2X 2P2, Canada. Phone: 514.398.3864, ext. 089727; E-mail: maziar.divangahi@mcgill.ca.
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1Department of Medicine, Department of Microbiology and Immunology, Department of Pathology, McGill International TB Centre, McGill University Health Centre, Montreal, Quebec, Canada.
2Department of Biomedical Engineering, McGill University, Montreal, Quebec, Canada.
3Sainte-Justine Hospital Research Centre, Department of Pediatrics, and
4Department of Anatomy and Cell Biology, Faculty of Medicine, University of Montreal, Quebec, Canada.
Address correspondence to: Maziar Divangahi, Assistant Professor of Medicine, Department of Microbiology and Immunology, McGill International TB Centre, McGill University, Meakins-Christie Laboratories, 3626 St. Urbain Street, Montreal, Quebec, H2X 2P2, Canada. Phone: 514.398.3864, ext. 089727; E-mail: maziar.divangahi@mcgill.ca.
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1Department of Medicine, Department of Microbiology and Immunology, Department of Pathology, McGill International TB Centre, McGill University Health Centre, Montreal, Quebec, Canada.
2Department of Biomedical Engineering, McGill University, Montreal, Quebec, Canada.
3Sainte-Justine Hospital Research Centre, Department of Pediatrics, and
4Department of Anatomy and Cell Biology, Faculty of Medicine, University of Montreal, Quebec, Canada.
Address correspondence to: Maziar Divangahi, Assistant Professor of Medicine, Department of Microbiology and Immunology, McGill International TB Centre, McGill University, Meakins-Christie Laboratories, 3626 St. Urbain Street, Montreal, Quebec, H2X 2P2, Canada. Phone: 514.398.3864, ext. 089727; E-mail: maziar.divangahi@mcgill.ca.
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1Department of Medicine, Department of Microbiology and Immunology, Department of Pathology, McGill International TB Centre, McGill University Health Centre, Montreal, Quebec, Canada.
2Department of Biomedical Engineering, McGill University, Montreal, Quebec, Canada.
3Sainte-Justine Hospital Research Centre, Department of Pediatrics, and
4Department of Anatomy and Cell Biology, Faculty of Medicine, University of Montreal, Quebec, Canada.
Address correspondence to: Maziar Divangahi, Assistant Professor of Medicine, Department of Microbiology and Immunology, McGill International TB Centre, McGill University, Meakins-Christie Laboratories, 3626 St. Urbain Street, Montreal, Quebec, H2X 2P2, Canada. Phone: 514.398.3864, ext. 089727; E-mail: maziar.divangahi@mcgill.ca.
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1Department of Medicine, Department of Microbiology and Immunology, Department of Pathology, McGill International TB Centre, McGill University Health Centre, Montreal, Quebec, Canada.
2Department of Biomedical Engineering, McGill University, Montreal, Quebec, Canada.
3Sainte-Justine Hospital Research Centre, Department of Pediatrics, and
4Department of Anatomy and Cell Biology, Faculty of Medicine, University of Montreal, Quebec, Canada.
Address correspondence to: Maziar Divangahi, Assistant Professor of Medicine, Department of Microbiology and Immunology, McGill International TB Centre, McGill University, Meakins-Christie Laboratories, 3626 St. Urbain Street, Montreal, Quebec, H2X 2P2, Canada. Phone: 514.398.3864, ext. 089727; E-mail: maziar.divangahi@mcgill.ca.
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1Department of Medicine, Department of Microbiology and Immunology, Department of Pathology, McGill International TB Centre, McGill University Health Centre, Montreal, Quebec, Canada.
2Department of Biomedical Engineering, McGill University, Montreal, Quebec, Canada.
3Sainte-Justine Hospital Research Centre, Department of Pediatrics, and
4Department of Anatomy and Cell Biology, Faculty of Medicine, University of Montreal, Quebec, Canada.
Address correspondence to: Maziar Divangahi, Assistant Professor of Medicine, Department of Microbiology and Immunology, McGill International TB Centre, McGill University, Meakins-Christie Laboratories, 3626 St. Urbain Street, Montreal, Quebec, H2X 2P2, Canada. Phone: 514.398.3864, ext. 089727; E-mail: maziar.divangahi@mcgill.ca.
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1Department of Medicine, Department of Microbiology and Immunology, Department of Pathology, McGill International TB Centre, McGill University Health Centre, Montreal, Quebec, Canada.
2Department of Biomedical Engineering, McGill University, Montreal, Quebec, Canada.
3Sainte-Justine Hospital Research Centre, Department of Pediatrics, and
4Department of Anatomy and Cell Biology, Faculty of Medicine, University of Montreal, Quebec, Canada.
Address correspondence to: Maziar Divangahi, Assistant Professor of Medicine, Department of Microbiology and Immunology, McGill International TB Centre, McGill University, Meakins-Christie Laboratories, 3626 St. Urbain Street, Montreal, Quebec, H2X 2P2, Canada. Phone: 514.398.3864, ext. 089727; E-mail: maziar.divangahi@mcgill.ca.
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1Department of Medicine, Department of Microbiology and Immunology, Department of Pathology, McGill International TB Centre, McGill University Health Centre, Montreal, Quebec, Canada.
2Department of Biomedical Engineering, McGill University, Montreal, Quebec, Canada.
3Sainte-Justine Hospital Research Centre, Department of Pediatrics, and
4Department of Anatomy and Cell Biology, Faculty of Medicine, University of Montreal, Quebec, Canada.
Address correspondence to: Maziar Divangahi, Assistant Professor of Medicine, Department of Microbiology and Immunology, McGill International TB Centre, McGill University, Meakins-Christie Laboratories, 3626 St. Urbain Street, Montreal, Quebec, H2X 2P2, Canada. Phone: 514.398.3864, ext. 089727; E-mail: maziar.divangahi@mcgill.ca.
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1Department of Medicine, Department of Microbiology and Immunology, Department of Pathology, McGill International TB Centre, McGill University Health Centre, Montreal, Quebec, Canada.
2Department of Biomedical Engineering, McGill University, Montreal, Quebec, Canada.
3Sainte-Justine Hospital Research Centre, Department of Pediatrics, and
4Department of Anatomy and Cell Biology, Faculty of Medicine, University of Montreal, Quebec, Canada.
Address correspondence to: Maziar Divangahi, Assistant Professor of Medicine, Department of Microbiology and Immunology, McGill International TB Centre, McGill University, Meakins-Christie Laboratories, 3626 St. Urbain Street, Montreal, Quebec, H2X 2P2, Canada. Phone: 514.398.3864, ext. 089727; E-mail: maziar.divangahi@mcgill.ca.
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1Department of Medicine, Department of Microbiology and Immunology, Department of Pathology, McGill International TB Centre, McGill University Health Centre, Montreal, Quebec, Canada.
2Department of Biomedical Engineering, McGill University, Montreal, Quebec, Canada.
3Sainte-Justine Hospital Research Centre, Department of Pediatrics, and
4Department of Anatomy and Cell Biology, Faculty of Medicine, University of Montreal, Quebec, Canada.
Address correspondence to: Maziar Divangahi, Assistant Professor of Medicine, Department of Microbiology and Immunology, McGill International TB Centre, McGill University, Meakins-Christie Laboratories, 3626 St. Urbain Street, Montreal, Quebec, H2X 2P2, Canada. Phone: 514.398.3864, ext. 089727; E-mail: maziar.divangahi@mcgill.ca.
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1Department of Medicine, Department of Microbiology and Immunology, Department of Pathology, McGill International TB Centre, McGill University Health Centre, Montreal, Quebec, Canada.
2Department of Biomedical Engineering, McGill University, Montreal, Quebec, Canada.
3Sainte-Justine Hospital Research Centre, Department of Pediatrics, and
4Department of Anatomy and Cell Biology, Faculty of Medicine, University of Montreal, Quebec, Canada.
Address correspondence to: Maziar Divangahi, Assistant Professor of Medicine, Department of Microbiology and Immunology, McGill International TB Centre, McGill University, Meakins-Christie Laboratories, 3626 St. Urbain Street, Montreal, Quebec, H2X 2P2, Canada. Phone: 514.398.3864, ext. 089727; E-mail: maziar.divangahi@mcgill.ca.
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1Department of Medicine, Department of Microbiology and Immunology, Department of Pathology, McGill International TB Centre, McGill University Health Centre, Montreal, Quebec, Canada.
2Department of Biomedical Engineering, McGill University, Montreal, Quebec, Canada.
3Sainte-Justine Hospital Research Centre, Department of Pediatrics, and
4Department of Anatomy and Cell Biology, Faculty of Medicine, University of Montreal, Quebec, Canada.
Address correspondence to: Maziar Divangahi, Assistant Professor of Medicine, Department of Microbiology and Immunology, McGill International TB Centre, McGill University, Meakins-Christie Laboratories, 3626 St. Urbain Street, Montreal, Quebec, H2X 2P2, Canada. Phone: 514.398.3864, ext. 089727; E-mail: maziar.divangahi@mcgill.ca.
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1Department of Medicine, Department of Microbiology and Immunology, Department of Pathology, McGill International TB Centre, McGill University Health Centre, Montreal, Quebec, Canada.
2Department of Biomedical Engineering, McGill University, Montreal, Quebec, Canada.
3Sainte-Justine Hospital Research Centre, Department of Pediatrics, and
4Department of Anatomy and Cell Biology, Faculty of Medicine, University of Montreal, Quebec, Canada.
Address correspondence to: Maziar Divangahi, Assistant Professor of Medicine, Department of Microbiology and Immunology, McGill International TB Centre, McGill University, Meakins-Christie Laboratories, 3626 St. Urbain Street, Montreal, Quebec, H2X 2P2, Canada. Phone: 514.398.3864, ext. 089727; E-mail: maziar.divangahi@mcgill.ca.
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1Department of Medicine, Department of Microbiology and Immunology, Department of Pathology, McGill International TB Centre, McGill University Health Centre, Montreal, Quebec, Canada.
2Department of Biomedical Engineering, McGill University, Montreal, Quebec, Canada.
3Sainte-Justine Hospital Research Centre, Department of Pediatrics, and
4Department of Anatomy and Cell Biology, Faculty of Medicine, University of Montreal, Quebec, Canada.
Address correspondence to: Maziar Divangahi, Assistant Professor of Medicine, Department of Microbiology and Immunology, McGill International TB Centre, McGill University, Meakins-Christie Laboratories, 3626 St. Urbain Street, Montreal, Quebec, H2X 2P2, Canada. Phone: 514.398.3864, ext. 089727; E-mail: maziar.divangahi@mcgill.ca.
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1Department of Medicine, Department of Microbiology and Immunology, Department of Pathology, McGill International TB Centre, McGill University Health Centre, Montreal, Quebec, Canada.
2Department of Biomedical Engineering, McGill University, Montreal, Quebec, Canada.
3Sainte-Justine Hospital Research Centre, Department of Pediatrics, and
4Department of Anatomy and Cell Biology, Faculty of Medicine, University of Montreal, Quebec, Canada.
Address correspondence to: Maziar Divangahi, Assistant Professor of Medicine, Department of Microbiology and Immunology, McGill International TB Centre, McGill University, Meakins-Christie Laboratories, 3626 St. Urbain Street, Montreal, Quebec, H2X 2P2, Canada. Phone: 514.398.3864, ext. 089727; E-mail: maziar.divangahi@mcgill.ca.
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1Department of Medicine, Department of Microbiology and Immunology, Department of Pathology, McGill International TB Centre, McGill University Health Centre, Montreal, Quebec, Canada.
2Department of Biomedical Engineering, McGill University, Montreal, Quebec, Canada.
3Sainte-Justine Hospital Research Centre, Department of Pediatrics, and
4Department of Anatomy and Cell Biology, Faculty of Medicine, University of Montreal, Quebec, Canada.
Address correspondence to: Maziar Divangahi, Assistant Professor of Medicine, Department of Microbiology and Immunology, McGill International TB Centre, McGill University, Meakins-Christie Laboratories, 3626 St. Urbain Street, Montreal, Quebec, H2X 2P2, Canada. Phone: 514.398.3864, ext. 089727; E-mail: maziar.divangahi@mcgill.ca.
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1Department of Medicine, Department of Microbiology and Immunology, Department of Pathology, McGill International TB Centre, McGill University Health Centre, Montreal, Quebec, Canada.
2Department of Biomedical Engineering, McGill University, Montreal, Quebec, Canada.
3Sainte-Justine Hospital Research Centre, Department of Pediatrics, and
4Department of Anatomy and Cell Biology, Faculty of Medicine, University of Montreal, Quebec, Canada.
Address correspondence to: Maziar Divangahi, Assistant Professor of Medicine, Department of Microbiology and Immunology, McGill International TB Centre, McGill University, Meakins-Christie Laboratories, 3626 St. Urbain Street, Montreal, Quebec, H2X 2P2, Canada. Phone: 514.398.3864, ext. 089727; E-mail: maziar.divangahi@mcgill.ca.
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Published December 22, 2014 - More info
The phagocytosis of apoptotic cells and associated vesicles (efferocytosis) by DCs is an important mechanism for both self tolerance and host defense. Although some of the engulfment ligands involved in efferocytosis have been identified and studied in vitro, the contributions of these ligands in vivo remain ill defined. Here, we determined that during Mycobacterium tuberculosis (Mtb) infection, the engulfment ligand annexin1 is an important mediator in DC cross-presentation that increases efferocytosis in DCs and intrinsically enhances the capacity of the DC antigen–presenting machinery. Annexin1-deficient mice were highly susceptible to Mtb infection and showed an impaired Mtb antigen–specific CD8+ T cell response. Importantly, annexin1 expression was greatly downregulated in Mtb-infected human blood monocyte–derived DCs, indicating that reduction of annexin1 is a critical mechanism for immune evasion by Mtb. Collectively, these data indicate that annexin1 is essential in immunity to Mtb infection and mediates the power of DC efferocytosis and cross-presentation.
CD8+ T cells are essential in resistance to Mycobacterium tuberculosis (Mtb) (1–3). Despite the fact that Mtb is a phagosomal pathogen and initiates antigen presentation via the MHC class II (MHC-II) endocytic pathway, Mtb antigens also access the MHC-I–restricted pathway by a mechanism termed cross-presentation (4, 5). This mechanism allows antigen-presenting cells (APCs), mainly DCs, to efficiently present antigens of exogenous origins to MHC-I–restricted CD8+ T cells (6). Several studies have demonstrated that phagocytosis of apoptotic cells, a process called efferocytosis, is an important source of antigens for cross-presentation by DCs (7–10). Kaufmann’s group further showed that engulfment of apoptotic vesicles released from Mtb- or bacillus Calmette-Guerin–infected (BCG-infected) macrophages by DCs leads to CD8+ T cell activation (11, 12). In line with these findings, we have demonstrated that Mtb evades host immunity by inhibiting apoptosis and promoting necrosis in infected macrophages (13–15). Importantly, increased apoptosis in Mtb-infected macrophages initiates an early protective immunity to pulmonary tuberculosis (16). Although the role of apoptosis in Mtb infection has been widely studied, our understanding of the mechanisms involved in selective recognition and uptake of apoptotic cells/vesicles (efferocytosis) by DCs for cross-presentation is still very limited.
A recent study by Behar’s group demonstrated that apoptosis per se is not intrinsically bactericidal, but is dependent on efferocytosis by macrophages to control Mtb growth (17). Whereas macrophages are highly efficient in efferocytosis and play an important role in innate immunity to Mtb (17), little is known about the mechanism or mechanisms of efferocytosis by DCs as well as its contribution to immunity against Mtb. Similar to macrophages, efferocytosis by DCs depends on the expression of engulfment ligands, also known as “eat-me” signals, on the surface of dying cells and multiple receptors on the surface of phagocytic cells. These receptors can directly interact with apoptotic cells, but most interactions occur indirectly through bridging proteins (18). The best characterized eat-me signal is the exposure of phosphatidylserine (PS) at the outer leaflet of the plasma membrane (19). Although necessary, PS alone is not efficient in triggering engulfment. Thus, other eat-me signals are required for an optimum uptake of apoptotic cells (20). Though in vitro studies have identified several classes of receptors implicated in efferocytosis (21–23), knowledge of the engulfment ligands and molecular mechanisms involved in DC efferocytosis as well as cross-presentation in vivo continues to represent a major gap in our understanding of this important phenomenon.
Annexin1 (encoded by ANXA1) is a member of the annexin protein superfamily and binds to negatively charged phospholipid membranes in a calcium-dependent manner (24). The N-terminal portion of annexin1 confers its unique biological characteristics, with a wide spectrum of biological functions. In addition to its very well-described antiinflammatory role (25, 26), colocalization of PS with annexin1 on the surface of apoptotic cells enhances recognition, tethering. and internalization of apoptotic cells by endothelial cells (27). Additionally, annexin1 has recently been shown to be a key modulator of adaptive immunity through its ability to control T cell activation (28, 29). Annexin1 expression has been associated with a variety of inflammatory diseases (cystic fibrosis and ulcerative colitis), autoimmune diseases (rheumatoid arthritis and lupus erythematous), and cancer (30), but its role in infectious diseases is poorly understood.
A recent study by Gan and colleagues (31) indicated that in macrophages infected with the virulent strain of Mtb, the amino terminal of annexin1 is removed, resulting in proteolytic truncation of annexin1 and loss of its biological activities in vitro. In the current study, we sought to determine the role of annexin1 during the course of Mtb infection in vivo. We found that annexin1-deficient mice (Anxa1–/–) were remarkably more susceptible to pulmonary Mtb infection than WT mice. The high levels of pulmonary bacterial burden and mortality in Anxa1–/– mice were associated with reduced Mtb antigen–specific CD8+ T cell responses in the lung. By generating chimeric mice that selectively lack annexin1 in T cells, we have shown that the reduction of Mtb antigen–specific CD8+ T cells is extrinsic to the T cell compartment. Interestingly, both in vitro and in vivo, annexin1-deficient DCs demonstrated a markedly reduced capacity to cross-present antigens to CD8+ T cells. The reduced capacity of annexin1-deficient DCs for cross-presentation was due to (a) the critical role of annexin1 in efferocytosis and (b) the intrinsic role of annexin1 in antigen-processing machinery. Importantly, infection of human blood monocyte–derived DCs with Mtb induced a downregulation of annexin1 gene expression, and genome-wide gene expression shows a strong correlation between annexin1 and biological pathways involved in endosome, lysosome, and autophagy. Furthermore, we showed that annexin1 is required for an optimal autophagy, suggesting an important link among annexin1, autophagy, and cross-presentation in DCs. Collectively, these data identify annexin1 as a central player in protective immunity against Mtb infection, primarily by regulating the power of DC cross-presentation.
Anxa1–/– mice are highly susceptible to Mtb infection. To investigate the role of annexin1 during Mtb infection, we initially evaluated survival of WT and annexin1-deficient mice (Anxa1–/–) infected i.v. with a high dose (~108 CFU) or low dose (~106 CFU) of virulent Mtb (H37Rv). Anxa1–/– mice were highly susceptible to Mtb infection, and all succumbed to death (Figure 1, A and B). This increased susceptibility of Anxa1–/– mice to infection was corroborated with higher numbers of pulmonary Mtb (Figure 1C). We next infected WT and Anxa1–/– mice with a low dose (50–100 CFU) of H37Rv via an aerosol route to assess both pulmonary bacterial burden and survival. Similar to the i.v. model, Anxa1–/– mice showed higher bacterial burden at 35 and 90 days after infection (Figure 1D). This impaired control of bacterial growth in Anxa1–/– mice correlated with a significant decrease in survival (Figure 1E). Analyses of histopathology indicated that lungs of Anxa1–/– mice were affected with a diffuse chronic active histiocytic pneumonitis (Supplemental Figure 1A; supplemental material available online with this article; doi:10.1172/JCI77014DS1), with large numbers of stainable mycobacterial organisms (Supplemental Figure 1B). Together, these results indicate that annexin1 plays a critical role in protection against Mtb infection.
Anxa1–/– mice are highly susceptible to Mtb infection. (A and B) Survival of WT and Anxa1–/– mice (n = 9–10/group) infected i.v. with approximately 108 (A) or approximately 106 (B) virulent Mtb bacilli. (C) Lung tissues from WT (upper panel) and Anxa1–/– (lower panel) mice stained with Ziehl–Neelsen for detection of Mtb bacilli after 20 days infection (i.v.) with approximately 108 virulent Mtb. Original magnification, ×40. (D) Bacterial burden in the lungs after 14, 35, and 90 days of aerosol infection with Mtb (n = 5/group). (E) Survival of WT and Anxa1–/– mice (n = 7/group) after aerosol infection with virulent Mtb. *P < 0.05 (1-way ANOVA). Survival data were analyzed by log-rank test.
Anxa1–/– mice have an impaired antigen-specific CD8+T cell response. Both CD4+ and CD8+ T cells are important effectors in protective immunity against Mtb (1–3, 32). We next assessed the quantity of pulmonary T cells in WT and Anxa1–/– mice after aerosol infection with virulent Mtb. There was no significant difference in the frequency of CD4+ or CD8+ T cells (Supplemental Figure 1, C and D). However, the frequency of Mtb32-specific CD8+ T cells was significantly reduced in the lungs of Anxa1–/– mice compared with WT mice at days 35 and 56 after infection (Figure 2, A and B). We next investigated whether infection with an avirulent strain would also result in reduced antigen-specific T cell responses in Anxa1–/– mice. We adoptively transferred (i.v.) CFSE-labeled OT-I TCR–transgenic CD8+ T cells, which are specific to OVA peptide (SIINFEKL), to WT and Anxa1–/– mice, followed by a footpad infection with the recombinant BCG-expressing OVA (BCG-OVA) 1 day later. Four days after infection, we detected a significantly smaller population of SIINFEKL-specific CD8+ T cells in the draining popliteal lymph nodes (popLN) of infected Anxa1–/– mice compared with WT mice (Figure 2, C and D). Consistent with reduced expansion of SIINFEKL-specific CD8+ T cells in Anxa1–/– mice, the proliferation of SIINFEKL-specific CD8+ T cells was also significantly decreased, as measured by the percentage of CFSEloCD8+ T cells (Figure 2, F and G). Collectively, these results indicate that following mycobacterial infection, there was a substantial reduction in antigen-specific CD8+ T cells in the absence of annexin1.
Anxa1–/– mice have reduced Mtb antigen–specific CD8+ T cell responses to Mtb infection. (A and B) Frequency of Mtb32 309–18–specific CD8+ T cells in the lungs of WT and Anxa1–/– mice (n = 5/group) after 14, 35, 56, and 90 days of aerosol infection with virulent Mtb (30–50 CFU). PE-conjugated streptavidin was used as a control for the tetramer staining. Numbers above outlined areas (A) indicate the percentage of CD8+ T cells stained with H-2Db-Mtb32 309–18. Results of 2 independent experiments are pooled. *P < 0.05 (t test). (C–G) CFSE-labeled OT-I TCR–transgenic CD8+ T cells were adoptively transferred to WT or Anxa1–/– mice (i.v.). The following day, mice were infected (footpad) with BCG-OVA. Frequency (C and D) and total cell number (E) of SIINFEKL-specific CD8+ T cells and T cell proliferation (F and G) from draining popLNs at day 4 after infection. Numbers above outlined areas (C) indicate the percentage of CD8+ T cells stained with H-2Kb–SIINFEKL; numbers above gate (F) indicate the percentage of CFSElo cells. Each symbol represents an individual mouse. Results are pooled from 2 independent experiments (n = 4–5/group). *P < 0.05; **P < 0.01 (t test).
Annexin1 has no intrinsic role in T cells during Mtb infection. It has been previously shown that annexin1 can act as a “tuner” to modulate the strength of TCR signaling, leading to increased T cell proliferation (28, 29). As both the quantity and quality of the T cell response are important for the control of Mtb infection, we next determined whether annexin1 directly affects T cell function or expansion in vivo. To this end, we infected mice with BCG-OVA and measured the cytotoxic activity of CD8+ T cells in vivo. Two weeks after infection, splenic SIINFEKL-specific CD8+ T cells from WT and Anxa1–/– mice showed comparable ability to eliminate target cells pulsed with OVA peptide (SIINFEKL; Figure 3, A and B). To evaluate the protective capacity of T cells in the presence or absence of annexin1 against pulmonary infection with virulent Mtb, we adoptively transferred (i.v.) equal numbers of purified naive CD3+ T cells from WT or Anxa1–/– mice to Rag-deficient recipient mice. Quantitative PCR confirmed that the expression of the annexin1 gene was disrupted in Anxa1–/– T cells. Importantly, the absence of annexin1 had no effect on the expression of other annexin family members or genes involved in eicosanoid pathways (Supplemental Figure 2A). One day after T cell transfer, recipient mice were infected with Mtb by aerosol (Figure 3C). Three weeks after infection, we detected no difference in bacterial burden in the lungs or spleens of recipient mice that received WT or Anxa1–/– T cells (Figure 3, D and E). To further rule out the potential intrinsic role of annexin1 in T cells, we generated chimeric mice in which only T cells lacked annexin1 (T cellAnxa1–/– chimeric mice). As shown in Supplemental Figure 2B, irradiated α/β T cell receptor–deficient mice (Tcra–/–) were reconstituted with BM cells from Tcra–/– and Anxa1–/– mice mixed in a 4:1 ratio, respectively. Thus, T cells in reconstituted T cellAnxa1–/– mice are only derived from Anxa1–/– precursors, whereas the non-T cells are predominantly Anxa1+/+. Control chimeric mice were generated in an equivalent manner by using a BM mixture from Tcra–/– mice and WT littermates (T cellAnxa1+/+ chimeric mice). Twelve weeks after reconstitution, by using real-time PCR, we confirmed the absence of annexin1 in T cells purified from T cellAnxa1–/– mice (Supplemental Figure 2C). Considering that a small fraction of APCs were annexin1 deficient in T cellAnxa1–/– mice, we next generated BM–derived DCs (BMDCs) from both groups of chimeric mice to evaluate their functions. Upon LPS stimulation, there were no significant differences in costimulatory molecule expression (Supplemental Figure 2D) or cytokine production (Supplemental Figure 2E), indicating there were no defects in DCs from the chimeric animals. To evaluate T cell responses as well as bacterial growth, we infected (aerosol) chimeric mice with virulent Mtb. The proportions of total CD4+ T and CD8+ T cells in the lungs of T cellAnxa1–/– mice were equivalent to those of T cellAnxa1+/+ chimeric mice at different time points after infection, indicating that both groups were similarly reconstituted (Supplemental Figure 2, F and G). We did not find differences in the frequency of Mtb32-specific CD8+ T cells (Figure 3, F and G) or bacterial burden in the lungs (Figure 3H) or spleens (Supplemental Figure 2H) from either group of chimeric mice. Thus, annexin1 expression in T cells is dispensable for protection against pulmonary Mtb infection.
Expression of annexin1 in T cells is not required for resistance to pulmonary Mtb infection. (A and B) In vivo cytotoxic activity against target cells coated with OVA peptide (SIINFEKL) in WT and Anxa1–/– mice (n = 4/group) at day 14 after i.v. infection with BCG-OVA. Numbers above bracketed lines (A) indicate the percentage of unpulsed CFSElo (left) and SIINFEKL-coated CFSEhi (right) cells. (B) Percentage of elimination of target cells coated with SIINFEKL was calculated as described in Methods. (C) Rag-deficient mice were used as recipients for splenic T cells (CD3+) purified from naive Anxa1–/– or WT mice. Recipient mice (n = 5/group) were infected with Mtb by the aerosol route within 24 hours after transfer of purified T cells. Bacteria burden in the lungs (D) and spleen (E) after 3 weeks of infection. Each symbol represents an individual mouse. Data are representative of 2 independent experiments. P < 0.05, 1-way ANOVA. (F–H) Mixed BM chimeric mice were generated as described in Methods. Twelve weeks after reconstitution, mice were infected via aerosol route with virulent Mtb. Frequency of Mtb32-specific CD8+ T cell (F and G) and bacterial burden (H) in the lung of T cellAnxa1+/+ or T cellAnxa1–/– chimeric mice after 35 and 90 days of Mtb infection. PE-conjugated streptavidin was used as a control for the tetramer staining. (H) Numbers above outlined areas indicate the percentage of CD8+ T cells stained with H-2Kb–SIINFEKL. Ten mice/group were individually analyzed. There was no significant difference between groups (t test).
Expression of annexin1 on apoptotic vesicles enhances DC efferocytosis and the T cell response. Previous studies from our and other groups (11, 16, 33) have shown that increased apoptosis in Mtb-infected macrophages enhances T cell–mediated immunity via cross-presentation. Furthermore, a study by Gan and colleagues revealed that annexin1 is essential for forming the apoptotic envelope (31). Therefore, we investigated whether differences in the macrophage cell death program could be responsible for reducing protection against Mtb in Anxa1–/– mice. We infected BM–derived macrophages (BMDMs) from WT and Anxa1–/– mice with different MOI of virulent Mtb in vitro and evaluated the cell death program. Two days after infection, both groups of macrophages presented equivalent levels of apoptosis and necrosis, as measured by a cell death ELISA (Supplemental Figure 3, A and B). Similarly, there was no significant difference in necrosis (7AAD+) or apoptosis (annexinV+7AAD–) of BMDMs infected with avirulent strain H37Ra (Supplemental Figure 3, C–E).
Efferocytosis is also a source of antigens for CD8+ T cells via cross-presentation (8, 12). Since annexin1 expression on the surface of apoptotic cells can act as a ligand that mediates engulfment in vitro (27), we next determined whether the presence of annexin1 on the surface of apoptotic cells is important for the recognition and uptake by DCs in vivo. Splenocytes from WT or Anxa1–/– mice were labeled with CFSE, subjected to osmotic shock to induce apoptosis (34), and injected (i.v.) into recipient WT mice. Similar to findings in the previous study by Iyoda and colleagues (34), CFSE+ apoptotic cells were found within both CD11c+ and CD8+ DCs located just outside of the splenic marginal zone, a region delineated by SIGN-R1+ marginal zone macrophages (Figure 4A). These results suggested that CD8+ DCs, a dominant source of cross-presenting APCs (34), were able to take up and process apoptotic bodies. To quantify this observation, CD11c+ MHC-IIhi DCs were enriched from the spleens of recipient WT mice by CD11c-positive selection (Supplemental Figure 5A) and assessed by flow cytometry. As shown in Figure 4B, only the CD8+ subset of DCs had taken up CFSE+ apoptotic cells. Importantly, the frequency and total number of CD8+ DCWT that engulfed WT apoptotic cells were significantly higher than CD8+ DCWT that engulfed Anxa1–/– apoptotic cells (Figure 4, C and D). To further support the importance of annexin1 on apoptotic cells for efferocytosis, we next injected CFSE-labeled apoptotic splenocytes from WT mice into WT or Anxa1–/– mice. As all donor apoptotic cells contained annexin1, no significant differences were observed in the uptake of apoptotic cells between CD8+ DCWT and CD8+ DCAnxa1–/– (Supplemental Figure 6, B–D).
Expression of annexin1 on apoptotic cells regulates efferocytosis. (A–D) CFSE-labeled WT or Anxa1–/– apoptotic cells were injected (i.v.) into WT mice (n = 3/group). (A) After 1 hour, localization of injected apoptotic cells was examined in the sections of spleen. The sections were stained with anti-CD11c or anti-CD8 (red) and SIGN-R1 (blue marginal zone [MZ] macrophages). Scale bars: 100 μm. The white squares are enlarged views showing the majority of CFSE-labeled apoptotic cells (green) were localized with either CD11c+ or CD8+ cells in red pulp. Scale bars: 30 μm. B, B cells; T, T cells. (B–D) CFSE-labeled apoptotic cells were selectively taken up by CD8+CD11c+ DCs. One hour after injection of apoptotic cells, splenic DCs were enriched with positive selection and CD8+ DCs were gated from the CD11c+MHC-IIhi population. Frequency (B and C) and total number (D) of CD8+ DCs that engulfed apoptotic cells. *P < 0.05 (t test).
We next evaluated whether the presence of annexin1 on the surface of apoptotic vesicles released from mycobacterial-infected macrophages is also important for the recognition and uptake by DCs. Apoptotic vesicles were purified from WT or Anxa1–/– BMDMs infected with BCG-OVA. No difference in bacterial burden was observed between WT and Anxa1–/– BMDMs (Supplemental Figure 4A), and there were no viable bacteria in apoptotic vesicles, while OVA protein was detectable by Western blot (data not shown). Scanning electron microscopy revealed vesicle formation of WT and Anxa1–/– BMDMs undergoing infection-induced apoptosis (Supplemental Figure 4B), and the absence of annexin1 on the membrane of Anxa1–/– vesicles was confirmed by Western blot (Supplemental Figure 4C). Considering exosomes also can transfer antigens for cross-presentation independently of apoptotic vesicles (35), we further characterized the vesicles in our study. Using flow cytometry, we found that the size of WT and Anxa1–/– vesicles was similar (Supplemental Figure 4, D and E). WT and Anxa1–/– vesicles presented a heterogeneous population, with the majority of vesicles in the range of 0.22 μm (Supplemental Figure 4E). Similarly, analysis by a particle sizer using a low-angle laser light-scattering device indicated that the size of vesicles was approximately 0.1–0.2 μm in WT and Anxa1–/– vesicles, as indicated by size and polydispersity(Supplemental Figure 4F). Both vesicles presented a negative surface charge, as expected (zeta potential; Supplemental Figure 4F). Finally, detection of surface phosphatidylserine by annexinV confirmed that both WT and Anxa1–/– purified vesicles were derived from apoptotic cells (Supplemental Figure 4G) and were not exosomes.
To determine whether efferocytosis by DCs is modulated by vesicular expression of annexin1, WT and Anxa1–/– vesicles were labeled with PKH26 fluorochrome and incubated separately with WT BMDCs ( DCWT). After 30 minutes of incubation, DCWT were stained with Hoechst and Alexa Fluor 488–conjugated phalloidin to detect nuclei and F-actin, respectively, and subjected to confocal microscopy. The uptake of WT vesicles (~80%) was significantly higher than that of Anxa1–/– vesicles (~20%) by DCWT (Figure 5, A and B). Colocalization of F-actin with the vesicles indicated that WT vesicles were confined to the cytosol (Figure 5A). Additionally, the fluorescence intensity ratio of cytosolic vesicles relative to cell nuclei, a quantitative analysis of cellular uptake, was also significantly increased using WT vesicles compared with Anxa1–/– vesicles (Supplemental Figure 4H).
Expression of annexin1 on apoptotic vesicles regulates efferocytosis. (A and B) In vitro efferocytosis assay with WT BMDCs. (A) Confocal microscopy of WT BMDCs (DCWT) incubated with PKH26-labeled WT (upper panel) or Anxa1–/– (bottom panel) apoptotic vesicles (red). DCWT were stained for F-actin (green) and nuclei (blue). The right pictures represent an overlay demonstrating the presence of red vesicles in the cytoplasm of DCWT. Scale bars: 20 μm. (B) Percentage of DCWT-containing vesicles in the cytoplasm. Results are representative of 2 independent experiments. **P < 0.01 (t test). (C–E) PKH26-labeled WT or Anxa1–/– vesicles mixed or not with recombinant annexin1 were injected into the footpad of WT mice (n = 3/group). (C, upper panels). Frequency of DCs (CD11c+MHC-IIhi) from popLNs after 24 hours of injection of apoptotic vesicles. Frequency of DCs (C, lower panels, and D) and CD8+ DCs (E) positive for PKH26. Numbers above outlined areas (C, upper panels) indicate the percentage of CD11c+MHC-IIhi cells. Numbers above gates (C, lower panels) indicate the percentage of CD11c+PKH26+ cells. *P < 0.05 (t test).
We next assessed the requirement of annexin1 for an optimal DC efferocytosis in vivo. WT or Anxa1–/– vesicles labeled with PKH26 were injected into the footpads of WT mice. Twenty-four hours later, the uptake of PKH26+ apoptotic vesicles by DCs (CD11c+MHC-IIhi) was evaluated in the draining popLN by confocal microscopy. At this time point, we found that the majority of the apoptotic vesicles localized to the interfollicular regions of the draining popLN in close association with CD11c+ and CD8+ DCs (Supplemental Figure 5B). Similar to the apoptotic cells shown in Figure 4, B and C, quantification by flow cytometry revealed that the frequency and total number of vesicle+CD8+ DCs from mice that received WT vesicles were significantly higher than from animals receiving Anxa1–/– vesicles (Figure 5, C–E). Interestingly, addition of recombinant annexin1 to Anxa1–/– vesicles prior to injection into the footpad of WT recipient mice increased the uptake of Anxa1–/– vesicles to a level similar to that observed with WT vesicles (Figure 5, C–E). Collectively, these in vitro and in vivo data suggest that expression of annexin1 on the surface of apoptotic cells and vesicles enhances efferocytosis by DCs.
To further investigate whether impairment in efferocytosis reduces cross-priming of CD8+ T cells in Anxa1–/– mice, we cocultured BMDCWT loaded with either WT or Anxa1–/– vesicles (generated upon BCG-OVA infection) and CFSE-labeled OT-I TCR–transgenic CD8+ T cells in vitro. Three days later, we assessed CD8+ T cell proliferation. The percentage of divided OT-I cells (CFSElo) after cross-priming by DCWT loaded with WT vesicles was significantly higher than DCWT loaded with Anxa1–/– vesicles (Supplemental Figure 5C). To extend these findings to endogenous DCs, WT mice that received CFSE-labeled OT-I cells were administered apoptotic splenocytes loaded with OVA from WT or Anxa1–/– mice the following day. Three days after injection of apoptotic cells, the proliferation of donor CD8+ T cells was substantially decreased in mice that received Anxa1–/– compared with WT apoptotic cells (data not shown). Consistent with the reduced proliferation, CD8+ T cell expansion was significantly decreased in the spleens of WT mice that received Anxa1–/– apoptotic cells (Supplemental Figure 5D). Taken together, these results indicate that the presence of annexin1 on the surface of apoptotic cells or vesicles is required for an optimal CD8+ T cell response through DC-dependent cross-priming.
Annexin1-deficient DCs are impaired in cross-priming. Previous studies have shown that annexin1 positively regulates DC activation and maturation (36). We next investigated whether annexin1 also has an intrinsic role in DC cross-priming of CD8+ T cells following mycobacterial infection. We infected BMDCWT or DCAnxa1–/– with BCG-OVA (MOI 2), cocultured them with CFSE-labeled OT-I T cells, and measured CD8+ T cell proliferation. CD8+ T cells primed by DCAnxa1–/– underwent less proliferation (CFSElo) compared with cells primed by DCWT (Figure 6, A and B). This difference was not observed in BMDCs loaded with SIINFEKL peptide, in which antigen processing was bypassed (Supplemental Figure 6A). To test whether the presence of annexin1 in DCs is required for an optimal T cell response in vivo, we adoptively transferred (i.v.) CFSE-labeled OT-I T cells to WT mice, followed by transfer of BCG-OVA–infected BMDCWT or BCG-OVA–infected DCAnxa1–/– (footpad) 24 hours later (Figure 6C). Five days after adoptive transfer of DCs, we found that the proliferation of CD8+ T cells was significantly decreased in the draining popLN of WT mice that received BCG-OVA–infected DCAnxa1–/– compared with those that received infected DCWT (Figure 6D).
Annexin1 regulates cross-priming in DCs. (A and B) BMDCWT and DCAnxa1–/– were infected with BCG-OVA (MOI ~2). After 4 hours of infection, CFSE-labeled purified OT-I CD8+ T cells were added to the culture. At day 3, CD8+ T cell proliferation was evaluated using CFSE dilution. Controls were CFSE-labeled OT-I CD8+ T cells cultured with DC without BCG-OVA infection. Each symbol represents 1 replicate (B). Results are representative of 6 independent experiments. *P < 0.05 (t test). (C and D) CFSE-labeled, purified OT-I CD8+ T cells were adoptively transferred to WT mice (i.v.). The following day, BCG-OVA–infected DCWT and DCAnxa1–/– were transferred into the footpads of WT mice (n = 3/group). (D) Percentage of proliferation of SIINFEKL-specific CD8+ T cells (CFSElo). *P < 0.05 (t test, 2 tailed). (E–H) CFSE-labeled OT-I CD8+ T cells were adoptively transferred (i.v.) into WT or Anxa1–/– mice (n = 4/group). The following day, mice were injected (i.v.) with WT apoptotic cells. At day 3, T cell proliferation (E and F), frequency (G), and total number (H) of SIINFEKL-specific CD8+ T cells were assessed in spleens. *P < 0.05; **P < 0.01 (t test). (I–K) CFSE-labeled OT-I CD8+ T cells were adoptively transferred (i.v.) to WT or Anxa1–/– mice. The following day, mice were injected (i.v.) with WT vesicles (n = 3/group). At day 4, T cell proliferation (I), frequency, (J) and total number (K) of SIINFEKL-specific CD8+ T cells were evaluated in popLN. *P < 0.05 (t test). Numbers above outlined areas (A and I) indicate the percentage of T cell proliferation (CFSElo). Numbers above bracketed lines (E) indicate the percentage of cells that had undergone 3 or more divisions (left) or fewer than 3 divisions (right). Numbers above outlined areas (G and J) indicate the percentage of CD8+ T cells stained with H-2Kb–SIINFEKL.
To further evaluate the intrinsic role of annexin1 in DC cross-priming in vivo, WT or Anxa1–/– mice that received CFSE-labeled OT-I T cells were administered OVA-loaded apoptotic cells from WT mice 24 hours later. The frequency of CD8+ T cell proliferation was significantly reduced in the spleen of recipient Anxa1–/– mice compared with WT controls (Figure 6, E and F). The reduced proliferation correlated with decreased frequency (Figure 6G) and total number (Figure 6H) of OT-I T cells observed in Anxa1–/– mice. The decreased T cell response detected in Anxa1–/– mice was not due to impaired efferocytosis because the frequency and total number of DCs containing CFSE+ apoptotic cells in the spleen of WT and Anxa1–/– mice were similar (Supplemental Figure 6, B–D). A similar defect in antigen-specific T cell proliferation was observed in the popLN of Anxa1–/– mice when apoptotic vesicles were administered (footpad) in place of whole apoptotic cells (Figure 6, I–K). Collectively, these results indicate that the presence of annexin1 in DCs is required for an optimal cross-priming for CD8+ T cell proliferation.
Annexin1-deficient DCs are impaired in cross-presentation. We next determined the mechanism by which annexin1 affects the DC’s ability to activate T cells. We initially evaluated whether the impaired CD8+ T cell response observed in Anxa1–/– mice upon Mtb infection is due to an impaired migratory capacity of DCAnxa1–/– to the draining lymph nodes. To address this issue, WT and Anxa1–/– mice were intranasally injected with LPS or PBS, and DC migration to the lung-draining lymph nodes was evaluated 1 day later. We did not observe a significant difference in the frequency (Supplemental Figure 6E) or total cell number (Supplemental Figure 6G) of DCs (CD11c+MHC-IIhi) in the lung-draining lymph nodes of WT and Anxa1–/– mice injected with LPS. Similarly, the frequency (Supplemental Figure 6F) and total cell number of CD103+ DCs and CD11b+ DCs were not altered (Supplemental Figure 6, H and I). We next evaluated DC maturation upon BCG-OVA infection. BMDCWT or DCAnxa1–/– infected with BCG-OVA similarly upregulated the expression of CD40, CD80, MHC-II, and MHC-I (Supplemental Figures 6, J–N). Flower’s group previously showed (37) that, in some tissues, the disruption of the annexin1 gene affected the expression of other annexins as well as genes involved in the eicosanoid pathways. As lipids from eicosanoid pathways play an important role in immunity to Mtb (15, 16, 38), we next investigated whether the absence of annexin1 in DCs affects the expression of other annexin family members (annexin2, -4, -6, and -10), cPLA2, sPLA2, mPGES1, 5LO, and NOS2 between BCG-infected DCWT and DCAnxa1–/–. Annexin1 expression was downregulated upon BGC-OVA infection, but no significant differences in expression of the other genes were observed (Supplemental Figure 7A). Similarly, there was no difference in the production of PGE2 and LXA4, respective products of mPGES1 and 5LO enzyme activity (Supplemental Figure 7B).
To study the role of annexin1 in MHC-I–restricted cross-presentation of cell-associated antigen, purified splenic DCWT or DCAnxa1–/– were incubated with either OVA-loaded or unloaded apoptotic cells from β2-microglobulin deficient mice (B2m–/–) and cocultured with CFSE-labeled OT-I T cells (39). As β2-microglobulin–deficient cells are not able to directly activate CD8+ T cells, DCWT or DCAnxa1–/– can only present antigens to CD8+ T cells via cross-presentation. DCWT or DCAnxa1–/– were loaded with SIINFEKL peptide as a positive control. Three days after coculture, we observed reduced proliferation of SIINFEKL-specific CD8+ T cells cross-primed by DCAnxa1–/– compared with DCWT (Figure 7, A and B). In contrast, there was no difference in CD8+ T cell proliferation primed by SIINFEKL-loaded DCWT and DCAnxa1–/–. To study the MHC-I–restricted cross-presentation of soluble antigen, purified endogenous DCWT or DCAnxa1–/– was incubated with soluble OVA protein and cocultured with CFSE-labeled OT-I T cells. Similar to cross-presentation of cell-associated antigen shown in Figure 7, A and B, OT-I T cells exhibited reduced proliferation when cross-primed by DCAnxa1–/– compared with DCWT. However, there was no difference in the proliferation of CD8+ T cells primed by SIINFEKL-loaded DCWT and DCAnxa1–/– (Figure 7, C and D).
Annexin1 regulates cross-presentation in DCs. (A and B) DCs were purified from spleen and lymph nodes of WT or Anxa1–/– mice, and cultured with irradiated B2m–/– splenocytes, as indicated, that were either untreated (+B2m–/– –OVA) or loaded with 10 mg/ml soluble OVA (+B2m–/– +OVA). As a positive control, DCs were loaded with 1 μM OVA peptide without B2m–/– splenocytes (–B2m–/– +SIINFEKL). CFSE-labeled OT-I CD8+ T cells were cultured with these cells, and T cell proliferation was determined by flow cytometry at day 3. Numbers above gate (A) indicate the percentage of CFSElo cells. Results are representative of 2 independent experiments. **P < 0.01 (t test). (C and D) DCs were purified from spleen and lymph nodes of WT or Anxa1–/– mice and loaded with 2 μg/ml of OVA protein for 4 hours at 37°C or SIINFEKL. After washes, CFSE-labeled OT-I CD8+ T cells were cultured with these cells for 3 days and T cell proliferation was determined by flow cytometry. Numbers above gate (C) indicate the percentage of CFSElo cells. **P < 0.01 (t test).
To further evaluate cross-presentation, we measured the expression of MHC-I/OVA peptide (SIINFEKL) complex on the surface of BMDCWT and DCAnxa1–/– after BCG-OVA infection or loading with soluble OVA protein or OVA peptide (SIINFEKL). DCWT presented higher levels of MHC-I/SIINFEKL complexes upon loading with OVA protein and infection with BCG-OVA than DCAnxa1–/– (Figure 8, A and B). In contrast, both groups presented similar levels of MHC-I/SIINFEKL complex when loaded with SIINFEKL. Considering the expression of MHC-I was not affected by annexin1 (Supplemental Figure 6, J–N) while the levels of MHC-I/SIINFEKL complex were reduced, this suggests that there is a defect in DC antigen processing. To test this possibility, we used DQ-OVA, a self-quenching conjugate designed specifically for the study of antigen processing. Upon proteolysis, highly fluorescent peptides were released from DQ-OVA and quantified by flow cytometry. After 30 minutes of incubation, DCWT processed DQ-OVA at higher levels than DCAnxa1–/– (Figure 8, C and D). To evaluate antigen processing by endogenous DCs, WT and Anxa1–/– mice were intranasally injected with DQ-OVA. Similar to the in vitro data, we observed a higher degradation of DQ-OVA by DCWT than by DCAnxa1–/– (Figure 8, E–G), indicating that annexin1 enhances antigen processing by DCs. Taken together, our results suggest that annexin1 is required for optimal cross-presentation by DC.
Reduced expression of MHC-I/peptide complex and antigen processing by Anxa1–/– DCs. (A and B) BMDCWT and DCAnxa1–/– were incubated with 10 mg/ml of OVA protein or 10–5 μM SIINFEKL or infected in vitro with BCG-OVA (MOI ~10). After 16 hours, expression of H-2Kb–SIINFEKL complex was measured on the cell surface. (A) Histogram of stimulated cells (SIINFEKL, blue; OVA protein, red; BCG-OVA, purple) versus unstimulated cells (black). (B) MFI of expression of H-2Kb–SIINFEKL complex on the surface of DCWT and DCAnxa1–/–. Results are representative of 3 independent experiments. *P < 0.05 (1-way ANOVA). (C and D) 105 BMDCs were loaded with 15 μg/ml of a quenched OVA protein (DQ-OVA). Antigen processing was quantified as increase in MFI after 30 minutes. Controls were cells loaded with DQ-OVA for 15 minutes on ice. Results are representative of 3 to 6 independent experiments. *P < 0.05 (t test, 1 tailed). (E–G) 20 μg of DQ-OVA were injected (intranasal) into WT and Anxa1–/– mice. Two hours later, lung cells were stained for DCs (CD11c+MHC-IIhi) (E), and degradation of DQ-OVA was evaluated on this cell population as increase in MFI (F and G). Numbers above outlined areas (E) indicate the percentage of CD11c+MHC-IIhi cells. Results are representative of 2 independent experiments. *P < 0.05 (t test).
Mtb inhibits ANXA1 expression in human blood monocyte–derived DCs. We next investigated whether annexin1 (ANXA1 in humans) was differently expressed in human blood monocyte–derived DCs in response to Mtb infection. To do so, we interrogated transcript expression levels in human blood monocyte–derived DCs from 65 individuals, before and after 18-hour infection with Mtb (40). We found that ANXA1 was significantly downregulated in human blood monocyte–derived DCs in response to Mtb infection (P = 8.3 × 10–16; Figure 9A). To understand the effects of ANXA1 on broader Mtb-mediated regulatory networks, we investigated the genome-wide relationships between interindividual variation in ANXA1 expression levels after Mtb infection and the expression levels of 12,957 other genes measured from the same individuals. We found that ANXA1 expression levels positively correlated with the expression of 18 other genes after correction for multiple testing (P < 1.6 × 10–4; FDR < 10%; Figure 9B and Supplemental Table 1). Interestingly, the most enriched gene ontology terms and biological pathways among the ANXA1-associated genes were related to the endosome and lysosome pathways (FDR < 5%; Supplemental Table 2). Indeed, 4 of the 18 genes (22%) associated with ANXA1 (Supplemental Figure 8) are known to be linked to the endosome membrane and/or to be involved in the lysosome pathway, significantly more than expected by chance (P = 8.1 × 10–4). Of particular note, TANK-binding kinase 1 (TBK1) was one of the most significant differentially expressed genes, with a P value of 7.9 × 10–6 (Supplemental Figure 8). It has been recently demonstrated that TBK1 is essential for the maturation of autophagic organelles into autolysosomes for the captured material degradation during Mtb infection (41). To establish the potential link between annexin1 and autophagy, we determined how the loss of annexin1 may affect autophagic flux. BMDCWT or DCAnxa1–/– were treated with vehicle or the mTOR inhibitor rapamycin, an inducer of autophagy initiation, for 6 hours, and the levels of lipidated LC3B (LC3B-II) were measured in the absence or presence of the lysosomal inhibitor bafilomycin A1. In DCWT, rapamycin led to an increase in LC3B-II levels in cells exposed to bafilomycin (Figure 9C). In contrast, LC3B-II levels in DCAnxa1–/– exposed to bafilomycin were significantly reduced (Figure 9C). We next calculated the average bafilomycin-induced change in LC3B-II expression (i.e., autophagic flux). Both basal and rapamycin-induced autophagic flux were significantly reduced in DCAnxa1–/– compared with DCWT (Figure 9D). Collectively, our results demonstrate that ANXA1 is downregulated in response to Mtb and that the regulatory network associated with ANXA1 is linked to the autophagy-dependent endosome/lysosome trafficking pathway, which is critical for cross-presentation.
Mtb downregulates ANXA1 in human blood monocyte–derived DCs. (A) Box plots showing log2 expression levels of ANXA1 (y axis) in noninfected and Mtb-infected DCs. (B) Gene regulatory network of ANXA1-associated genes. We identified 18 genes for which expression levels were significantly associated with the levels of ANXA1 in Mtb-infected DCs. The thickness of the edges connecting the nodes in the network (i.e., genes) reflects the strength of the association of these genes with ANXA1 as well as among themselves. Only connections with an r2 value above 0.2 are shown. Genes associated with the endosome membrane and the lysosome pathways are highlighted. (C and D) Annexin1 mediates autophagy in DCs. (C) DCWT or DCAnxa1–/– were cultured with vehicle or the mTOR inhibitor rapamycin for 6 hours. Bafilomycin A1 was added 2 hours prior to cell lysis and Western blots for LC3B, phospho-S6 (pS6), and β-tubulin. (D) The means of bafilomycin-induced fold increase in LC3B-II levels ± SEM (ΔLC3BII), each obtained from 6 individual experiments. * P < 0.05, KO vs. WT (t test).
Apoptosis has evolved not only for the maintenance of tissue homeostasis, but also as a mechanism to transfer the essential immunological information that directly influences the outcome of immune responses. Accumulating studies suggest that apoptosis is critical for immune tolerance or activation. Although it has been shown that the uptake of apoptotic cells by phagocytes can be a source of antigens for immune tolerance or activation, our knowledge of the mechanism(s) involved in efferocytosis of apoptotic vesicles and their capacity in instructing immunity is limited. This is an important issue, considering that during the course of apoptosis, cells shed many vesicles that can be internalized by phagocytic cells. Thus, we hypothesized that efferocytosis of apoptotic vesicles is a critical mechanism for cross-presentation by DCs and protective immunity against Mtb infection, both of which depend on annexin1.
Annexin1 was initially discovered over 30 years ago as an antiinflammatory protein mimicking the effects of glucocorticoids (42, 43). Annexin1 inhibits PLA2, COX-2, and iNOS expression and activates formyl peptide and lipoxin A4 receptors as well as inducing IL-10 and clearance of apoptotic cells (44). Such antiinflammatory effects of annexin1 have been shown to ameliorate diseases such as endotoxemia and peritonitis by suppressing leukocyte activation and transmigration (45, 46). Furthermore, it has been shown that activation of T cells leads to secretion of annexin1, which binds to its receptor (formyl peptide receptor [FPR]) in an autocrine/paracrine manner, promoting activation and differentiation of T cells. D’Acquisto and colleagues have shown that activation of naive T cells or Th1-polarized T cells in the presence of annexin1 promotes Th1-producing IL-2 and IFN-γ cells and dampens the Th2 phenotype (28, 29). These in vitro observations were further supported using a mouse model of rheumatoid arthritis, as annexin1 treatment exacerbated disease severity (28). Furthermore, the same group has demonstrated that annexin1-deficient mice showed an increased Th2 phenotype in a mouse model of allergic inflammation (29). Here, we have demonstrated that Anxa1–/– mice were highly susceptible to Mtb infection and that this was associated with decreased Mtb-specific CD8+ T cell responses. By using a T cell–adoptive transfer model as well as generating chimeric annexin1-deficient T cells, we found, however, that annexin1 has no intrinsic role in the regulation of T cell immunity to Mtb infection. The disparate results between our group and others might reflect the immunogenic role of annexin1 in infection compared with its classical tolerogenic role in inflammatory diseases.
Physiological apoptosis has an essential role in development, differentiation, and tissue homeostasis (47). Although the tolerogenic role of annexin1 in recognition and engulfment of apoptotic cells, which results in dampening of the immune response, has been well established (48), little is known about the immunogenic role of annexin1 during infectious diseases. It has only recently been accepted that apoptosis is an important host defense mechanism against microbial infections. Albert and colleagues initially demonstrated the importance of cross-priming through apoptotic cells in antiviral immunity (8). Others (11, 12) as well as our group (14, 16) have previously shown that increased apoptosis in Mtb-infected macrophages initiates an early cross-priming event that markedly enhances T cell–mediated immunity to infection. Activation of pattern recognition receptors, such as Toll-like receptors, can substantially differentiate immunogenic versus tolerogenic apoptosis (49), but the mechanism is still unknown. Winau and coworkers (12) initially demonstrated that generation of apoptotic vesicles from mycobacterial infected macrophages has the capability to cross-prime CD8+ T cells. Our current study provides the mechanistic foundation for this observation by demonstrating that the presence of annexin1 on apoptotic vesicles was essential for transfer of antigens from apoptotic vesicles to DCs for cross-presentation and activation of CD8+ T cells. Furthermore, we have demonstrated that annexin1 plays an intrinsic role in autophagy and the antigen-processing machinery of DCs, which enhances the efficiency of DCs in presenting antigens to CD8+ T cells. Accordingly, we also demonstrated that Mtb substantially suppresses annexin1 expression in human blood monocyte–derived DCs, highlighting the importance of annexin1 in host immunity to Mtb infection. Thus, our results collectively indicate that annexin1 plays a critical role in immunity to Mtb infection by regulating efferocytosis as well as antigen cross-presentation by DCs.
Lung CD103+ DCs and splenic CD8+ DCs have a greater ability to acquire and cross-present apoptotic cell–associated antigens in vivo than CD11b+ DCs and CD8– DCs, respectively (34, 50, 51). Indeed, mice deficient in the transcription factor BATF3, which lack both CD103+CD11b– DCs in the lungs and CD8+ DCs in the spleen, are defective in cross-presentation (39, 52). Corroborating our findings that annexin1 plays an intrinsic role for cross-presentation of apoptotic cells and vesicles in DCs, it has been demonstrated that both CD8+ DCs and CD103+ DCs express more annexin1 at the mRNA level than CD8– DCs and CD103–CD11b+ DCs, respectively (53).
The mechanisms by which antigens derived from efferocytosis are processed in DCs for cross-presentation are still poorly understood. Antigen cross-presentation is influenced by many factors, including efficiency of antigen capture, the biochemical nature of antigens, expression levels of MHC-I, and antigen processing. While here we have demonstrated that the presence of annexin1 on the surface of apoptotic vesicles is required for optimal efferocytosis by DCs, we also have demonstrated an intrinsic role for annexin1 in antigen processing (Figure 10). There are 2 major intercellular pathways involved in cross-presentation of exogenous antigens: (a) the cytosolic pathway, in which antigens that are processed by the proteasome are loaded onto MHC-I via the ER or redirected to the phagosome containing MHC-I, and (b) the vacuolar pathway, in which exogenous antigens are directly degraded in the MHC-I–containing phagosome followed by peptide loading onto MHC-I (6). However, after efferocytosis, this process may require additional receptors, as the efferosome contains an additional membrane distinct from the apoptotic vesicles. Thus, the presence of annexin1 on apoptotic vesicles within the phagosome may also facilitate the access of antigens from phagosome to the intercellular pathways for cross-presentation. Additionally, we found that DCs either loaded with exogenous antigens (DQ-OVA) or infected with BCG-OVA required annexin1 for antigen processing.
Regulatory role of annexin1 during Mtb infection. Mtb-infected macrophages undergoing apoptosis express annexin1 on the cell surface, which acts as an engulfment ligand. Bystander macrophages recognize this ligand and engulf apoptotic cells/vesicles containing live bacteria via efferocytosis to eliminate Mtb. Similarly, DCs recognize annexin1 and uptake apoptotic vesicles containing mycobacterial antigens. Mtb antigens are processed and loaded on MHC-I via cross-presentation. The presence of annexin1 on efferosomes, as well as in cytosol, may facilitate cross-presentation by increasing the availability of antigens in efferosomes to MHC-I, either via proteasome-ER–dependent pathway or/and vacular-dependent pathway (effero-lysosome). This will result in CD8+ T cell activation and expansion to control Mtb infection.
Importantly, our observations that Mtb induced downregulation of annexin1 gene expression in human blood monocyte–derived DCs and that annexin1 regulates autophagy as well as the expression of genes such as TBK1 and FAM125B, which are involved in cytoplasmic cargo trafficking, reinforce the importance of annexin1 in antigen processing. It has been recently shown that both annexin1 (54) and TBK1 (41) are essential in autophagic maturation/degradation. Autophagy is a host-defense mechanism against mycobacterial infection (55, 56) that enhances peptide presentation by DCs (57). In the current study, we have also found that annexin1 regulates autophagy in DCs and that autophagy can serve as an effective system for the delivery of exogenous antigens in cross-presentation (58, 59). Furthermore, it has been shown that following efferocytosis, autophagy promotes apoptotic cell degradation (60). Thus, it is plausible that annexin1 may influence the cargo selection and access of antigens to either cytosolic or vacuolar pathways. Another possible explanation is that, upon antigen uptake, intracellular annexin1 colocalizes with early endosomes and also with phagosomal membrane (61, 62). As annexin1 has the ability to aggregate membranes in a calcium-dependent manner (63–65), annexin1 could facilitate the fusion of phagosome with lysosome. However, as Mtb is known to arrest phagosomal maturation, this pathway may be inhibited following infection. In contrast, if annexin1 also colocalizes with the surface of efferosome, this would lead to fusion with the lysosome and antigen degradation through the vacuolar pathway. Certainly, further experiments are needed to identify the molecular mechanisms involved in this process.
The high susceptibility of Anxa1–/– mice to Mtb infection cannot only be explained by reduced T cell–mediated immunity. We anticipate that the lack of annexin1 on apoptotic cells/vesicles also markedly reduces efferocytosis by macrophages, further impairing innate immunity to Mtb infection (Figure 7). A recent study by Martin et al. elegantly demonstrated that efferocytosis is an essential antimycobacterial effector mechanism for controlling bacterial growth (17). In addition, deficiency of annexin1 in macrophages also impairs autophagic maturation (54), which is also important for control of mycobacterial growth (55, 56). This may explain why virulent Mtb specifically targets annexin1 by removing its aminoterminal domain, resulting in a truncated nonfunctional protein (31). Although this study showed that annexin1 is required for formation of apoptotic envelopes, our data indicate that annexin1 does not affect the cell death program of macrophages infected with either virulent or avirulent strains of mycobacteria. These differences might be explained by the use of different experimental models and experimental methods used. Thus, further studies are necessary to precisely identify the role of annexin1 in the cell death program.
Despite the worldwide application of BCG vaccination and other anti–Mtb interventions, Mtb remains one of the most successful human pathogens. Approximately 2 million people die of tuberculosis annually, and 8 to 10 million new cases of active tuberculosis occur each year due to the large reservoir of asymptomatic people chronically infected with Mtb (66). The success of this pathogen, which is transmitted person to person by the aerosol route, is closely linked to its ability to subvert both innate and adaptive immune responses. Thus, by targeting annexin1 and paralyzing efferocytosis, Mtb compromises an essential innate host defense mechanism as well as DC-mediated T cell immunity via cross-presentation. Given the potential importance of efferocytosis in effective innate and adaptive immunity to Mtb infection as well as an important role for annexin1 in facilitating antigen delivery to DCs, synthetic nanoscale particles embedded with annexin1 may provide an effective delivery system for vaccination against Mtb.
Mice. Six- to ten-week-old C57BL/6, Rag1–/– (Jax: 002216), Tcra–/– (Jax: 002116), or B2m–/– (Jax: 002087) mice were from Jackson Laboratories. OT-I T cell antigen receptor–transgenic mice (specific for the OVA 257–264, peptide SIINFEKL, restricted by H-2Kb) were from Taconic Farm (4175-M). Annexin1-deficient mice (Anxa1–/–) were obtained from Roderick Flower (William Harvey Research Institute, Barts and The London School of Medicine, London, United Kingdom) and were bred at McGill University; see Supplemental Methods.
Bacteria strains and infection. The virulent Mtb strain H37Rv, the attenuated strain H37Ra, and recombinant BCG-OVA were grown at 37°C under constant shaking in 7H9 medium (BD Biosciences) containing 0.2% glycerol (Fisher), 0.05% Tween 80 (Sigma-Aldrich), and 10% albumin-dextrose-catalase (BD Biosciences). In the case of BCG-OVA, the medium was also supplemented with 50 μg/ml of kanamycin (Invitrogen). CFU were determined by plating serial dilutions in PBS–Tween 80 (0.05% Tween 80) on Middlebrook 7H10 medium (BD Biosciences) containing 0.5% glycerol (Fisher), 10% oleic acid–albumin-dextrose catalase (Sigma-Aldrich), and PANTA (BD Biosciences). Colonies were counted after 21 days.
For pulmonary infection, 100 bacteria of the Mtb strain H37Rv were delivered via the aerosol route using a nose-only exposure unit (Intox Products), and adequacy of infection was ascertained by enumeration of bacteria from the lungs of 2 animals 24 hours after infection. For i.v. infection, 106 or 108 H37Rv bacteria were resuspended in 200 μl of PBS–Tween 80 (0.05% Tween 80) and delivered via the retroorbital vein; see Supplemental Methods.
Generation of BMDCs and BMDMs. BM from femurs and tibiae was flushed with RPMI medium. For generation of BMDCs from WT and Anxa1–/– mice (DCWT and DCAnxa1–/–, respectively), cells were seeded in BMDC medium (RPMI supplemented with 10% FBS, 1% l-glutamine, 1% NEAA nonessential amino acids, 1% sodium pyruvate and 0.35% Β-mercaptoethanol) containing 20 ng/ml of GM-CSF (Cedarlane) in cell-culture Petri dishes. At days 3 and 6, half of the volume (5 ml) was replaced by fresh medium containing 20 ng/ml GM-CSF. At day 7, 50% of the volume was removed and centrifuged at 300 g for 5 minutes. Cells were resuspended with the same volume of fresh medium containing 20 ng/ml GM-CSF and added back in the Petri dishes. DCs were used at day 8. Purity was usually between 70% and 75%, as evaluated by flow cytometry; see Supplemental Methods.
For generation of BMDMs, cells were seeded in BMDM medium (RPMI supplemented with 10% FBS, 2 mM l-glutamine, 1% MEM, 1% NEAA, 1 mM sodium pyruvate, 2% HEPES, 100 U/ml penicillin, and 100 μg/ml streptomycin — all from Gibco, Invitrogen) containing 30% L929 supernatant in tissue culture flasks and were allowed to differentiate into macrophages for 7 days. At day 3, fresh medium containing L929 supernatant was added. Macrophages were used from day 7 onwards. Purity was usually higher than 99%, as evaluated by flow cytometry; see Supplemental Methods.
Flow cytometry. Aliquots of cells (2 × 106) from single-cell suspension obtained from spleens, lymph nodes, or collagenase-digested lungs and also BMDCs and BMDMs were first incubated with anti-CD16/32 in 0.5% BSA/PBS at 4°C to block nonspecific Ab interaction with Fc receptors. For evaluation of Mtb32-specific CD8+ T cells, cells were then stained with H-2Db-Mtb32 309-318 tetramer PE (diluted 1:600, NIH Tetramer Core Facility, Emory University Vaccine Center, Atlanta, Georgia, USA), anti-CD8 PercP (53-6.7), anti-CD19 FITC (1D3), and anti-CD4 PE-Cy7 (RM4-5) for 30 minutes at 4°C. After 2 washes with 0.5% BSA/PBS, cells were fixed with 1% paraformaldehyde and kept at 4°C until acquisition. For SIINFEKL-specific CD8+ T cell evaluation, cells were stained with H-2Kb–SIINFEKL APC (ProImmune) in 0.5% BSA/PBS at room temperature. After 10 minutes incubation, cells were washed and stained with CD8 PercP for 30 minutes at 4°C. After 2 washes, cells were acquired in the same day. For evaluation of BMDCs and BMDMs, cells were stained with anti-CD11c APC-Cy7 (HL3), F4/80 PE-Cy7 (BM8, eBioscience), anti–MHC-II PE (M5/114.15.2), anti-CD80 PercP-Cy5.5 (16-10A1), anti-CD86 FITC (GL1), and anti-CD40 APC (3/23) for 30 minutes at 4°C. To measure expression of H-2Kb–SIINFEKL complex on the surface of BMDCs, cells were stained with anti–H-2Kb–SIINFEKL PE (25D1.16, eBioscience) and anti-CD11c APC-Cy7 for 30 minutes at 4°C. All antibodies were obtained from BD Biosciences. Acquisition was done in the LSRII flow cytometer (BD Biosciences) with FACSDiva Software version 6.1.2 (BD Biosciences) and analyses with FlowJo software (TreeStar).
In vivo cytotoxic assay. In vivo cytotoxic activity of antigen-specific CD8+ T cells was enumerated as previously described (67). Briefly, splenocytes of C57BL/6 mice were divided into 2 populations and labeled with the fluorogenic dye CFSE (Molecular Probes) at final concentrations of 5 μM (CFSEhi) or 0.5 μM (CFSElo). CFSEhi cells were pulsed with 10 μM SIINFEKL peptide for 30 minutes at 37°C. CFSElo cells remained unpulsed. Subsequently, CFSEhi cells were washed and mixed with equal numbers of CFSElo cells before injecting (i.v.) 20 × 106 total cells per mouse. Recipient animals were mice that had been infected or not with BCG-OVA. Spleen cells of recipient mice were collected 20 hours after transfer and analyzed by FACS. Percentage of specific lysis was determined using the following formula: 1 – ([%CFSEhi infected/%CFSElo infected]/[%CFSEhi naive/%CFSElo naive]) × 100%.
Generation of mixed BM chimeric mice. BM from femurs and tibiae was flushed with RPMI medium. BM cells from Tcra-deficient mice and Anxa1–/– mice were mixed in a proportion of 4 to 1, respectively. This mixture was used to generate T cellAnxa1–/– chimeric mice. BM cells from Tcra-deficient mice and WT mice were combined in the same way to generate T cellAnxa1+/+ control mice. As recipient mice, we used Tcra-deficient mice that were irradiated with 9 Gy (2 times using 4.5 Gy with an interval of 3 hours). These mice were kept under antibiotic treatment (128 mg polymixin B and 1.1 g neomycin trisulfate [Sigma-Aldrich] per liter of drinking water) for 10 days after irradiation. Sixteen hours after irradiation, 4 × 106 mixed BM cells were i.v. transferred to recipient mice. Chimeric mice were used after 12 weeks, at which time the hematopoietic compartment was reconstituted as determined by flow cytometry; see Supplemental Methods.
Purification of apoptotic vesicles. For generation of apoptotic vesicles, BMDMs from WT and Anxa1–/– mice were infected with 10 MOI of BCG-OVA plus 10 μg/ml of OVA protein for 4 hours at 37°C. After 2 washes, cells were kept in RPMI medium in the absence of FBS for 6 days. Deprivation of FBS induced apoptotic vesicles. After this period, supernatant of cell culture was collected. Following centrifugation to remove cellular debris (800 g and 1800 g), the remaining solution containing the apoptotic vesicles was filtered using 50-ml centrifugal filters with a 50-kDa molecular cut-off (Millipore Corp.). The resulting retentate containing the apoptotic vesicles was then collected in 1.5 ml LoBind tubes (Eppendorf) for further characterization. Further characterization of apoptotic vesicles are described in Supplemental Methods.
Generation of apoptotic cells. For generation of apoptotic cells, WT and Anxa1–/– splenocytes were osmotically shocked to accelerate apoptosis (34). Briefly, single-cell suspension of splenocytes was prepared in serum-free medium. 2.5 × 107 cells were incubated in 170 μl hypertonic medium (0.5 M sucrose, 10% wt/vol polyethylene glycol 1000, and 10 mM HEPES in RPMI, pH 7.2) at 37°C for 10 minutes. 2.2 ml of prewarmed hypotonic medium (60% RPMI and 40% H2O) was added, followed by an additional 2 minutes of incubation at 37°C. The cells were centrifuged, washed twice with cold PBS, and resuspended in RPMI supplemented with 10% FBS. Cells were incubated for an extra 2 hours at 37°C before transference to mice. In some experiments, apoptotic cells were first labeled with 5 μM CFSE and then subjected to osmotic shock.
Efferocytosis assay. For in vitro efferocytosis assay, WT and Anxa1–/– vesicles were suspended to a concentration of 5 μg/ml of protein in serum-free RPMI 1640 medium. In order to later visualize uptake, the lipid bilayer of the apoptotic vesicles was stained using the PKH26 Kit (Sigma-Aldrich). Further purification of the apoptotic vesicles from excess stain was performed using 1.5 ml centrifugal filtration tubes with 50-kDa molecular cut-off (Millipore). BMDCs from WT mice (DCWT) were loaded with WT and Anxa1–/– vesicles for 30 minutes at 37°C to allow for sufficient uptake. Cells were then fixed with 10% formalin (Sigma-Aldrich), followed by permeabilization with 0.1% Triton X-100 (Invitrogen) and staining with Alexa Fluor 488–conjugated phalloidin and Hoechst 33342 (Molecular Probes) for F-actin and nuclei visualization, respectively. Confocal imaging was then performed using a Zeiss LSM 510 confocal microscope (Carl Zeiss). All images were acquired while maintaining a constant laser intensity and detector gain. Following image acquisition, the composite images were assembled using ImageJ software (NIH). The intensity of fluorescence was then evaluated for uptaken vesicles and cell nuclei using CellProfiler image analysis software (Broad Institute). The ratio of fluorescence intensity of uptaken vesicles relative to cell nuclei was then determined to give a quantitative analysis of cellular uptake.
In vivo efferocytosis assay was performed with CFSE-labeled apoptotic cells or PKH26-labeled vesicles. 2 × 107 CFSE-labeled WT or Anxa1–/– apoptotic cells were generated as described above and transferred (i.v.) into WT mice or Anxa1–/– mice when indicated. One hour later, spleens of recipient mice were harvested and DCs were enriched by a positive selection for CD11c. Cells were stained with anti-CD11c APC (HL3), MHC-II V500 (M5/114.15.2), CD8 PercP, and CD19 V450 (1D3) (all antibodies from BD Biosciences). Cells positive for CFSE were considered to have engulfed injected apoptotic cells. Fifty micrograms of PKH26-labeled WT or Anxa1–/– vesicles were transferred into the footpads of WT mice. When indicated, 10 μg/ml of recombinant annexin1 (Cloud-Clone Corp.) was mixed with Anxa1–/– vesicles before injection into the footpad. Twenty-four hours later, draining popLNs were harvested and cells were stained with anti-CD11c APC, MHC-II V500, CD8 PercP, and CD11b APC-Cy7 (clone M1/70, no. 557657). Cells positive for PKH26 (PE) were considered to have engulfed injected apoptotic vesicles.
Confocal microscopy. Spleens or popLN were harvested and immediately frozen in optimal cutting temperature embedding compound over liquid nitrogen. Frozen tissues were cut into 6- to 8-μm sections using a cryostat (AO Scientific Instruments) and fixed in a mixture of ice-cold 75% acetone/25% ethanol for 5 minutes. Sections were blocked in PBS plus 2% BSA for 60 minutes prior to specific antibody staining. Surface antibody staining included CD8α (53–6.7; BD Biosciences), B220 (RA3-6B2), CD11c (N418; eBioscience), and SIGN-R1 (22D1; eBioscience) coupled with detection of CFSE-labeled apoptotic cells or PKH26-labeled vesicles as described above. Stained sections were coverslipped using SHUR/Mount Liquid Mounting Medium (Triangle Biomedical). Image acquisition was performed using the FluoView 1000 confocal microscopy platform (Olympus) and analyzed using ImageJ.
DC enrichment and purification. Spleens and lymph nodes were used for endogenous DC analysis. Briefly, spleens were flushed with 100 mU/ml collagenase D (Roche), teased apart with fine forceps, and digested with 400 mU/ml collagenase D for 15 minutes at 37°C (68). After digestion, splenic and lymph node DCs were enriched by positive selection for CD11c (Miltenyi Biotec). DCs were enriched with 1 round of positive selection; the amount of DCs in the cell population was approximately 30%. Purified DCs were subjected to 2 or more rounds of positive selection; the amount of DCs in the cell population was between 75% and 80%.
Antigen presentation assays. For in vitro cross-priming assay, BMDCs were generated as described above. 105 BMDCs were incubated with 1 mg/ml of apoptotic vesicles or infected with BCG-OVA (MOI ~2) for 4 hours at 37°C. OVA peptide (SIINFEKL) (10–5 and 10–6 μM) was used as positive control. After washes, 105 CFSE-labeled OT-I TCR–transgenic CD8+ T cells were added per well. CD8+ T cells were purified by negative selection (Stem Cell Technologies) and labeled with 5 μM CFSE. After 3 days of coculture, cells were harvested and stained with anti-CD8 PercP in PBS containing 0.5% BSA; CD8+ T cell proliferation was measured by reduction in CFSE expression (CFSElo) on the CD8+ T cell (PercP-positive gate) population.
In vivo cross-priming assay was performed using OVA osmotically loaded apoptotic cells or apoptotic vesicles. WT or Anxa1–/– mice were adoptively transferred (i.v.) with CFSE-labeled OT-I TCR–transgenic CD8+ T cells. On the following day, mice were injected i.v. or in footpads with 2 × 107 apoptotic cells (WT or Anxa1–/– when indicated) or 50 μg apoptotic vesicles (WT or Anxa1–/– when indicated), respectively. Three days after injection, spleen or draining popLNs were harvested. Cells were stained with H-2Kb–SIINFEKL APC, anti-CD8 PercP, and anti-CD19 V450. Proliferation of antigen-specific CD8+ T cells was measured by reduction in CFSE expression (CFSElo) on the H-2Kb–SIINFEKL+CD8+ T cell population.
In vitro cross-presentation assay of cell-associated antigen was performed as described by Hildner et al. (39). Briefly, single-cell suspensions of spleens from β2-microglobulin–deficient mice were prepared in serum-free medium. Cells were loaded with OVA by osmotic shock. Incubation with hypertonic medium occurred in the presence or absence of 10 mg/ml OVA. After addition of hypotonic medium and washes with cold PBS, cells were incubated for 1 hour at 37°C followed by irradiation (13.5 Gy). 105 purified WT or Anxa1–/– DCs were incubated with 5 × 105 splenic cells that were either untreated (+B2m–/– –OVA) or loaded with OVA (+B2m–/– +OVA) and cocultured with CFSE-labeled OT-I TCR–transgenic CD8+ T cells. As a positive control, purified DCs were loaded with 1 μM SIINFEKL. After 3 days, cells were stained with H-2Kb–SIINFEKL APC and anti-CD8 PercP. Proliferation of antigen-specific CD8+ T cells was measured by reduction in CFSE expression (CFSElo) on the H-2Kb–SIINFEKL+CD8+ T cell populations.
For cross-presentation assay with soluble antigen, purified DCs from spleen and lymph nodes of WT and Anxa1–/– mice were incubated with 2 μg/ml OVA protein (Sigma-Aldrich) for 4 hours at 37°C. Positive control cells were incubated with 1 μM SIINFEKL. After washes, cells were cocultured with CFSE-labeled OT-I TCR–transgenic CD8+ T cells. After 3 days, cells were stained with H-2Kb–SIINFEKL APC and anti-CD8 PercP. Proliferation of antigen-specific CD8+ T cells was measured by reduction in CFSE expression (CFSElo) on the H-2Kb–SIINFEKL+CD8+ T cell population.
Antigen-processing assay. For in vitro antigen-processing assay, BMDCs were generated as described above. 105 cells were loaded with 15 μg/ml of a quenched OVA protein (DQ-OVA, Molecular Probes). After 15 minutes of incubation at 37°C to allow antigen uptake, cells were washed twice with ice-cold PBS containing 5% FBS at 4°C. Then cells were resuspended in RPMI containing 10% FBS and transferred to 37°C. Processing of OVA into peptide was measured as increase in median fluorescence intensity (MFI) after 30 minutes. Controls were cells loaded with DQ-OVA for 15 minutes on ice. DQ-conjugated OVA peptide was quantified using the FITC channel. For in vivo antigen-processing assay, 20 μg of DQ-OVA was delivered intranasally into WT or Anxa1–/– mice. Approximately 2 hours later, lungs of recipient mice were harvested and cells were stained with anti-CD11c APC, MHC-II V500, and CD19 V450.
Isolation and infection of human monocyte–derived DCs. Blood samples were obtained from 65 healthy donors from Research Blood Components. Isolation and infection of DCs with Mtb (H37Rv) for 18 hours, RNA extraction, and quality verification have been previously described (40).
Genome-wide gene expression data in human DCs. Genome-wide gene expression profiling of untreated and infected DCs was obtained by hybridizing the RNA to the Illumina HumanHT-12 v4 Expression BeadChips arrays. The cDNA synthesis, labeling, and subsequent hybridization to the microarrays were performed by the Southern California Genotyping Consortium at UCLA. A detailed description of the quality control measures of the data can be found in Barreiro et al. (40). All original microarray data were deposited in the NCBI’s Gene Expression Omnibus (GEO GSE3415). To test whether ANAX1 was differently expressed after Mtb infection, we used a linear modeling–based approach. Specifically, we used the Bioconductor limma package (69) to fit a linear model with individual treatment (i.e., Mtb infection) and batch as fixed effects. We included a batch effect because the RNA samples were hybridized in 2 separate batches. We subsequently used the empirical Bayes approach of Smyth (69) to calculate a moderated t statistic and P value. In order to find genes for which expression levels were robustly correlated with ANAX1, we calculated Pearson’s correlation coefficients between the expression levels of ANAX1 in DCs from 65 individuals infected with Mtb and the expression levels of 12,957 other genes measured on the same samples. To correct for multiple testing, we used the q-value approach described by Storey et al. (70); see Supplemental Methods.
Western blot. For autophagy evaluation, BMDCs were generated as described above. Cells were treated with 250 nM rapamycin for 6 hours and in the presence or absence of BAF-A1 (250 nM) for the last 2 hours. After treatments, the cells were washed twice with ice-cold PBS and then collected in 100 μl of ice-cold lysis buffer (50 mM Tris-HCl, pH 7.5, 150 mM NaCl, 1 mM EDTA, 100 mM NaF, 1 mM Na3VO4, 1% NP-40, 40 mM β-glycerophosphate, 10% glycerol, 1 mM PMSF, 10 μg/ml leupetin, and 10 μg/ml aprotinin). Twenty micrograms of protein were loaded onto SDS–15% polyacrylamide gel. Proteins were transferred onto a polyvinylidene difluoride membrane, blocked with 5% milk, and probed with primary antibodies (anti-LC3B [Cell Signaling] and anti–β-tubulin [DSHB]), followed by treatment with a peroxidase-conjugated secondary antibody (Cell Signaling). The blots were further developed using a Pierce ECL Kit (Thermo Scientific) according to the manufacturer’s instructions.
Statistics. Data are expressed as mean ± SEM. Data were analyzed by 2-tailed Student’s t test or 1-way ANOVA as appropriate using the GraphPad Prism program (version 6). For survival analyses, log-rank test was performed. P values of less than 0.05 were considered significant.
Study approval. All animal studies were conducted in accordance with the guidelines of and approved by the Animal Research Ethics Board of McGill University. Human blood samples were obtained from Research Blood Components. Signed, written consent was obtained from all individuals, in accordance with the company’s independent ethics committee approval.
This work was supported by the Canadian Institute of Health Research (CIHR) operating grants (MOP-130310) and National Sciences and Engineering Research Council of Canada (NSERC) (G231908) to M. Divangahi. M. Divangahi also holds a CIHR New Investigator Award. M. Tabrizian’s laboratory is supported by CIHR-Nanomedicine/Regenerative Medicine and Genome Quebec. We thank Roderick Flower (William Harvey Research Institute, Barts and The London School of Medicine) for providing Anxa1–/– mice.
Address correspondence to: Maziar Divangahi, Assistant Professor of Medicine, Department of Microbiology and Immunology, McGill International TB Centre, McGill University, Meakins-Christie Laboratories, 3626 St. Urbain Street, Montreal, Quebec, H2X 2P2, Canada. Phone: 514.398.3864, ext. 089727; E-mail: maziar.divangahi@mcgill.ca.
Conflict of interest: The authors have declared that no conflict of interest exists.
Reference information: J Clin Invest. 2015;125(2):752–768. doi:10.1172/JCI77014.
Anthony Michel Jean Sanchez’s present address is: University of Perpignan Via Domitia, Laboratoire Performance Santé Altitude, Font-Romeu, France.