Galectin-1 (Gal-1), an endogenous glycan-binding protein, is widely distributed at sites of inflammation and microbial invasion. Despite considerable progress regarding the immunoregulatory activity of this lectin, the role of endogenous Gal-1 during acute parasite infections is uncertain. In this study, we show that Gal-1 functions as a negative regulator to limit host-protective immunity following intradermal infection with Trypanosoma cruzi. Concomitant with the upregulation of immune inhibitory mediators, including IL-10, TGF-β1, IDO, and programmed death ligand 2, T. cruzi infection induced an early increase of Gal-1 expression in vivo. Compared to their wild-type (WT) counterpart, Gal-1–deficient (Lgals1−/−) mice exhibited reduced mortality and lower parasite load in muscle tissue. Resistance of Lgals1−/− mice to T. cruzi infection was associated with a failure in the activation of Gal-1–driven tolerogenic circuits, otherwise orchestrated by WT dendritic cells, leading to secondary dysfunction in the induction of CD4+CD25+Foxp3+ regulatory T cells. This effect was accompanied by an increased number of CD8+ T cells and higher frequency of IFN-γ–producing CD4+ T cells in muscle tissues and draining lymph nodes as well as reduced parasite burden in heart and hindlimb skeletal muscle. Moreover, dendritic cells lacking Gal-1 interrupted the Gal-1–mediated tolerogenic circuit and reinforced T cell–dependent anti-parasite immunity when adoptively transferred into WT mice. Thus, endogenous Gal-1 may influence T. cruzi infection by fueling tolerogenic circuits that hinder anti-parasite immunity.

Trypanosoma cruzi, the etiological agent of Chagas’ disease, is a protozoan parasite that affects ∼10 million people in Latin America (1). T. cruzi infection is generally asymptomatic, but during chronicity one third of the patients develop dilated cardiomyopathy that could progress to heart failure due to the combined effects of parasite persistence, immune dysregulation, and microvascular damage (2). Despite several decades of research, the mechanisms underlying parasite-induced immunoregulation are only partially understood (3, 4). Studies using genetically deficient mice indicated that both CD4+ and CD8+ T cell populations are equally important for the control of parasitemia and host survival (5) and suggested the activation of immunoevasive programs that favor pathogen persistence and compromise the integrity of infected tissues (69). Both anti-inflammatory mediators, such as IL-10 and TGF-β, as well as immune inhibitory checkpoints, including programmed death ligand (PD-L)1 and PD-L2, play critical roles in dampening host immune responses during acute T. cruzi infection (9). Moreover, we and others have reported parasite-induced impairment of the Ag-presenting machinery and defects in effector T cell responses (1012).

Despite their ability to orchestrate adaptive immune responses, dendritic cells (DCs) can also instruct the activation of tolerogenic circuits during infection, inflammation, and tissue injury (1315). We recently demonstrated that T. cruzi trypomastigotes (Tp) may impart a tolerogenic program in bone marrow–derived DCs (BMDCs), which in response to the parasite, secrete high amounts of IL-10 and TGF-β1, synthesize low amounts of IL-12p70, and display lower T cell stimulatory capacity (16, 17).

Emerging evidence supports the critical role of glycan-binding proteins or lectins as host recognition molecules responsible for conveying pathogen-containing information into pro- or anti-inflammatory programs (18). Galectins, a family of β-galactoside–binding lectins, are highly conserved throughout animal evolution and play key roles in immune cell homeostasis. They are differentially expressed in peripheral tissues, sites of inflammation, and secondary lymphoid organs and modulate immune cell activation, differentiation, and survival (19). Galectin (Gal)-1, a prototype member of the galectin family, modulates a variety of immunological processes, including T cell viability (20), Th cell polarization (21), and host–pathogen interactions (22, 23), and blunts effector T cell responses in settings of autoimmunity, transplantation, and cancer (24). Particularly, Gal-1 activates a tolerogenic circuit in DCs mediated by IL-27 and IL-10 (25).

Galectins can also regulate microbial invasion by acting as pathogen recognition receptors, microbicidal agents, and modulators of innate and adaptive immunity (26, 27). For example, host cell–derived Gal-3 recognizes different pathogens such as Leishmania major and Candida albicans (28, 29), whereas Gal-4 and Gal-8 can bind and directly kill blood group Ag-positive bacteria (30). Interestingly, Gal-1 binds to Nipah virus envelope glycoproteins and confers protection by increasing antiviral immunity and inhibiting cell-to-cell fusion and viral fusion to endothelial cells (22, 31). Gal-1 also controls HIV replication (23) and Dengue virus infection (32). Furthermore, other studies suggested an important role for Gal-1 and Gal-3 in microbial adhesion and invasion to host cells and the extracellular matrix (33, 34). During T. cruzi infection, galectins display a wide expression pattern in a variety of infected cell types, including B cells, macrophages, and DCs (3537). Notably, Gal-3 promotes binding of T. cruzi to coronary artery smooth muscle cells (33), and its expression is associated with myocarditis and fibrosis during chronic Chagas’ disease (38). Moreover, a recent study demonstrated differential binding of human Gal-1, -3, -4, -7, and -8 to Tp and amastigotes compared with noninfective epimastigote forms present in the intestinal tract of the triatomine vector (39), reflecting changes in glycosylation during the metacyclogenesis and intracellular amastigote differentiation. Interestingly, whereas low concentrations of exogenously added Gal-1 promoted T. cruzi replication in vitro, high concentrations of this lectin inhibited its multiplication in infected macrophages (36). However, despite considerable progress, the pathophysiologic relevance of endogenous Gal-1 during the course of T. cruzi infection in vivo has not yet been explored.

In this study, we show that Gal-1 deficiency conferred resistance to acute T. cruzi infection in mice. Along with the upregulation of other immune inhibitory mediators, we found that Gal-1 expression was increased early after inoculation of T. cruzi parasites. Moreover, using the intradermoplantar (i.d.p.) route of infection, we found that T. cruzi triggered a tolerogenic circuit driven by Gal-1–expressing DCs, which blunted effector T cell responses and perpetuated parasite infection in host tissues. Thus, interruption of Gal-1–driven tolerogenic pathways during acute T. cruzi infection may promote parasite clearance and attenuate the severity of Chagas’ disease.

Animal studies were approved by the local Institutional Animal Care Committee, School of Medicine, University of Buenos Aires. Male BALB/c, C3H/HeN, and CF1 mice were obtained from the animal facility of the Instituto de Investigaciones en Microbiología y Parasitología Médicas (School of Medicine, University of Buenos Aires). Male Lgals1−/− (C57BL/6 background) and C57BL/6 wild-type (WT) mice were housed and bred at the animal facilities of the School of Exact and Natural Sciences (University of Buenos Aires) until infection. Then, mice were housed at the animal facilities of the Instituto de Investigaciones en Microbiología y Parasitología Médicas according to respective institutional guidelines. For experiments performed at the Department of Molecular Cell Biology and Immunology (VU University Medical Center), mice were purchased from Charles River Laboratories. OT-II TCR transgenic (C57BL/6) mice were bred and housed at the VU University animal house under specific pathogen-free conditions. All experiments were performed according to institutional and national guidelines.

Infections were set up with a virulent T. cruzi strain (RA-Tc VI DTU) (12, 40, 41). The RA strain was used in all of the experiments. Tp were maintained by weekly i.p. inoculation of 3-wk-old male CF1 mice (1 × 105 parasites/mouse). For Tp purification, bloodstream forms were obtained from whole blood at the peak of parasitemia 7 d postinfection (dpi), thoroughly washed, and purified by density gradient centrifugation (Histopaque-1083, Sigma-Aldrich, St. Louis, MO) as previously reported (16). Labeling of Tp with CFSE was carried out using a 5 μM solution of CFDA-SE (Sigma-Aldrich) (16). Heat-killed parasites were prepared by incubation of purified parasites at 56°C during 40 min. Tissue culture Tp were used for some experiments, including in vitro DC stimulation, cytokine detection, and mice infection, for confirmation purposes. Briefly, tissue culture Tp were maintained up to 2 mo in Vero cell line, cultured in RPMI 1640 medium with 5% heat-inactivated FCS, purified by centrifugation, and resuspended in PBS or medium depending on the assay. T. cruzi soluble Ags were obtained by mechanical lysis of cultured epimastigotes and used at 20 μg/ml. For the experimental infection, groups of 3–10 WT and Lgals1−/− mice (10–12 wk old) were infected by i.d.p. administration of 100 bloodstream Tp in the left hind footpad. Age-matched uninfected normal littermates injected with 20 μl vehicle (PBS–2% BSA) were used as control mice (noninfected). For i.p. inoculation, 100 bloodstream purified Tp were injected in 50 μl vehicle. Mortality was recorded daily and parasitemia was documented as previously described (42). Briefly, 10 μl fresh blood taken from mouse tail vein was incubated with 90 μl Tris-buffered 0.83% ammonium chloride (pH 7.2). Parasites were counted in a hemocytometer chamber and results were expressed as the number of Tp per milliliter of blood.

LPS from Escherichia coli O26:B6 or 0111:B4 were from Sigma-Aldrich. Recombinant Gal-1 was obtained and purified as previously described (21). LPS was carefully removed by endotoxin-removing gel (Detoxi-Gel; Pierce) followed by analysis with a gel clot Limulus test (< 0.5 IU/mg; Associates of Cape Cod).

For histological or immunological studies, animal samples were obtained from noninfected mice or after 9 or 16 dpi. After mechanical disaggregation in a 100-μm nylon cell strainer (BD Falcon), single-cell suspensions from spleens and/or lymph nodes were treated with ammonium potassium chloride phosphate buffer to lyse erythrocytes. When necessary, spleen mononuclear cells were purified by standard density gradient centrifugation on Histopaque-1083 (Sigma-Aldrich). T cells (CD3+ or CD4+) were purified from lymph nodes using anti-mouse biotin-conjugated CD4 or CD3 mAb (L3T4 and 145-2C11; BD Biosciences) and streptavidin-conjugated MicroBeads for magnetic positive selection (MiniMACS; Miltenyi Biotec). Naive OT-II CD4+ T cells were purified from the spleen and lymph nodes using magnetic beads (Dynabead CD4 T cell negative isolation kit; Invitrogen) and CD62L MicroBeads (MiniMACS; Miltenyi Biotec). Splenic CD11c+ DCs were purified from the mononuclear cell fraction using anti-mouse biotin-conjugated CD11c Ab (HL3; BD Biosciences) and streptavidin-conjugated MicroBeads for magnetic positive selection (Miltenyi Biotec). Purities were checked by flow cytometry and found to be ∼97%. For isolation of skeletal or cardiac muscle infiltrates, single-cell suspensions were obtained after mechanical disaggregation of hearts or muscle tissue from the inoculated hind paw and followed by enzymatic digestion at 37°C with hyaluronidase type IV-S (200 U/ml; Sigma-Aldrich) and collagenase type II (250 U/ml; Life Technologies/Invitrogen). Mononuclear cells were purified by density gradient centrifugation (Histopaque-1083; Sigma-Aldrich). Cell viability was assessed by trypan blue dye exclusion.

To obtain BMDCs, femurs and tibias from 8- to 12-wk-old mice were flushed and bone marrow cells were incubated for 7 d in IMDM complete medium supplemented with 10% (v/v) heat-inactivated FCS (Internegocios, Buenos Aires, Argentina), penicillin (100 U/ml) and streptomycin (100 mg/ml), and 2-ME (50 μM; referred as medium) with 20% conditioned medium from GM-CSF–producing J558 cells, as previously described (16). At day 7, cells were harvested by gentle pipetting, washed, plated (1 × 106 cells/ml) in 24-well plates (Nunc), and cultured in medium with or without LPS (5 μg/ml) in the presence or absence of live or heat-killed Tp (1:4 cell/parasite ratio) for 20 h. Control BMDCs were cultured with medium alone. In some experiments, BMDCs (1 × 106 cells/ml) were exposed to recombinant Gal-1 (10 μg/ml) in IMDM with 1 mM DTT and CFSE+ Tp.

For allogeneic MLRs, 1 × 105 CD4+ or CD3+ T cells purified from lymph nodes by positive selection (MiniMACS separation; Miltenyi Biotec) were cultured with 1 × 104 allogeneic WT or Lgals1−/−-stimulated BMDCs in 96-well round-bottom plates (Orange Scientific). For blocking experiments, neutralizing Abs against IL-27p28 (AF1834; R&D Systems) or IL-10 (JES5-2A5; BD Biosciences) were added (10 μg/ml) at the beginning of cell culture. In secondary MLRs, naive CD4+ T cells were primed in an MLR with LPS-stimulated BMDCs (BMDCsLPS) or LPS-stimulated BMDCs exposed to Tp (BMDCsTp+LPS). After 5 d, primed T cells (pCD4+) were purified by cell sorting (CD3+) and added to a secondary MLR in the presence of control BMDCs plus naive CD4+ T cells. For ex vivo alloresponse, CD3+ T cells purified from lymph nodes of BALB/c mice and DCs isolated from spleens of noninfected or infected WT and Lgals1−/− mice were cultured for 96 h. In Ag-specific proliferation assays, OT-II CD4+ T cells were cultured with syngeneic BMDCs prestimulated and pulsed with OVA for 18 h. To assess proliferation, experiments were performed in triplicate. Cultures were pulsed with 1 μCi [3H]thymidine per well for the last 18 h and cells were harvested and counted using a Rack beta scintillation counter (Amersham Pharmacia Biotech). In some experiments, after 72 h of coculture, supernatants were collected and IL-10, IL-2, and IFN-γ were measured by ELISA as described above. For in vitro CD4+ Th cell differentiation, C57BL/6 DCs (1 × 104) were cultured with LPS or with LPS in the presence of heat-killed Tp and 50 μg/ml OVA (Calbiochem) for 18 h in 96-well round-bottom plates (Orange Scientific). After washing, 5 × 105 purified naive CD4+ T cells isolated from OT-II mice were added to each well. On day 2, recombinant mouse IL-2 (10 IU) was added. Cells were cultured for 6 d.

Single-cell suspensions were incubated with fluorescence-labeled mAb for 30 min at 4°C. The following mAbs were used: isotype controls, allophycocyanin or PE–anti-CD11c (HL3, BD Biosciences or N418, Invitrogen) or FITC–anti-Gr-1 (RB6-8C5), allophycocyanin–anti-CD11b (M1/70), FITC–anti-CD4 (L3T4), allophycocyanin–anti-CD8 (Ly-2), PerCP–anti-CD3 (145-2C11) Abs (all from BD Biosciences) or PE-Cy5–anti-MHC class II (MHC II; M5/114.15.2) Abs from eBioscience or PE–anti-CD11c (N418), allophycocyanin–anti-CD11b (M1/70.15.11.5), PE-Vio770–anti-Ly6C (1G7.G10), PerCP–anti-CD8a (53-6.7), and PE–anti-Ki-67 (REA183) (all from Miltenyi Biotec). For intracellular staining, cells were treated with T. cruzi Ags as described above and brefeldin A (10 μg/ml; Sigma-Aldrich) for 5 h. After surface staining, cells were fixed and permeabilized with Cytofix/Cytoperm solution (BD Biosciences). The Abs used were isotype controls, PE–anti-IL-10 (JES5-16E3), PE–anti-IL-17A (TC11-18H10.1), and Alexa Fluor 647–anti-IFN-γ (XMG1.2) (all from BD Biosciences). For Foxp3 detection, cells were stained with anti-Foxp3 Ab (FJK-16s; eBioscience) or a T regulatory (Treg) cell detection kit (Miltenyi Biotec).

For lectin-binding assays, cells (5 × 105) were stained with FITC–Gal-1 (20 μg/ml) in the absence or presence of lactose (30 mM) or with biotinylated Sambucus nigra agglutinin (20 μg/ml; Vector Laboratories), peanut agglutinin (20 μg/ml; Sigma-Aldrich), or Maackia amurensis (MAL II, 10 μg/ml; Vector Laboratories) followed by PE-conjugated streptavidin (BD Biosciences) as described (20). Nonspecific binding was determined with PE-streptavidin alone. Cells were acquired on a FACSCalibur or a FACSAria flow cytometer (BD Biosciences) and analyzed using FlowJo 7.6 or WinMDI 2.9 software.

Cell death was determined by staining with FITC-conjugated annexin V (BD Biosciences) and propidium iodide (Sigma-Aldrich) as described (20).

Serum or cell supernatants were stored at −80°C until used according to the manufacturer’s protocol. The IFN-γ ELISA set was from BD Biosciences. The IL-2, IL-10, IL-17, IL-27p28, and TNF ELISA kits were from R&D Systems.

Following overnight stimulation, cells were washed in PBS and treated with ice-cold lysis buffer (20 mM Tris-acetate [pH 7.0], 1 mM EGTA, 1% Triton X-100, 0.1 mM sodium fluoride, 5 μg/ml leupeptin, 1 mM sodium orthovanadate, 1 mM PMSF). Cell lysates were incubated on ice for 30 min, vortexed extensively, and centrifuged at 13,000 × g at 4°C for 10 min. The soluble fraction was removed and stored at −20°C until used. Samples were resuspended in Laemmli’s buffer and boiled. Immunoblot analysis was performed as described (17). Equal amounts of protein (30 μg) were resolved by SDS-PAGE, blotted onto nitrocellulose membranes (GE Healthcare), and probed with anti–Gal-1 polyclonal Ab (3 μg/ml) generated as described (25) or anti–β-actin Ab (Abcam) followed by HRP-conjugated anti-rabbit or mouse IgG secondary Ab (Santa Cruz Biotechnology). Immunostaining was detected using ECL (GE Healthcare) according to the manufacturer’s instructions. Band signal intensities were quantified by densitometry using Gel-Pro analyzer 4.0 software calculating arbitrary units relative to loading control.

Total RNA from splenocyte single-cell suspensions was isolated using TRIzol reagent (Invitrogen Life Technologies) following the manufacturer’s instructions. cDNA synthesis was performed with SuperScript III reverse transcriptase (Invitrogen Life Technologies). Quantitative real-time RT-PCR was performed using EvaGreen quantitative PCR mix plus (Solis BioDyne) or SYBR Green master mix (Applied Biosystems). Primers were: TGF-β1, 5′-GCTGAACCAAGGAGACGGAATA-3′ (forward) and 5′-GGGCTGATCCCGTTGATTT-3′ (reverse); IL-4, 5′-GAGCTCGTCTGTAGGGCTT-3′ (forward) and 5′-GACTCATTCATGGTGCAGC-3′ (reverse); Gal-1, 5′-TGAACCTGGGAAAAGACAGC-3′ (forward) and 5′-TCAGCCTGGTCAAAGGTGAT-3′ (reverse); Foxp3, 5′-TCCCACGCTCGGGTACAC-3′ (forward) and 5′-CCACTTGCAGACTCCATTTGC-3′ (reverse); GATA-3, 5′-ATGCCTGCGGACTCTAC-3′ (forward) and 5′-GGTGGTGGTGGTCTGAC-3′ (reverse); RORc, 5′-CTATCTGGGCAAGGCTACGGTT-3′ (forward) and 5′-CACAAAGCCAAACAATACGCG-3′ (reverse); T-bet, 5′-CAGGGAACCGCTTATATG-3′ (forward) and 5′-CTGGCTCTCCATCATTCA-3′ (reverse); PD-L2, 5′-TGCTCCTGCTGCCGATACT-3′ (forward) and 5′-GCCGACGTCTACGGTGTACA-3′ (reverse); IDO, 5′-GGGCTTCTTCCTCGTCTCTCTAT-3′ (forward) and 5′-CTTTCAGGTCTTGACGCTCTACTG-3′ (reverse). Samples were read using an ABI Prism 7500 sequencer detector (Applied Biosystems) and analyzed using the 2−ΔΔCT method. Results were normalized to GAPDH expression and expressed as mRNA arbitrary units or as fold change expression relative to control.

On day 9 and 16 postinfection, hearts and skeletal muscle from the left hindlimb were fixed in 10% (v/v) formalin and embedded in paraffin. Noninfected animals were used as controls. Sections of 5 μm in thickness were stained with H&E. Quantification of the number of amastigote nests and the number of amastigotes per nest was estimated after the observation of at least 25 fields per preparation (set in triplicate with three to four preparations per mice) using a Nikon Eclipse E200 light microscope (×400–1000).

Left popliteal lymph nodes (draining lymph nodes [dLNs]) were obtained from noninfected mice or after 2 d of mice infection. For immunostaining, lymph nodes were fixed with 4% paraformaldehyde and embedded in OCT. For confocal microscopy, Hoechst 33342 dye (Life Technologies) was used for nuclear staining together with the following primary Abs: rabbit anti–Gal-1 IgG (25), rat anti–CD4-FITC (553047; BD Pharmingen), rat anti-CD8 (ab22378; Abcam), rat anti–CD11c-FITC (117306; BioLegend), mouse anti–α-SMA (1A4; Dako). Secondary Abs used were anti-rat IgG–Alexa Fluor 488 (Vector Laboratories; 1:500), anti-rabbit IgG–Alexa Fluor 555 (Cell Signaling Technology; 1:1000) and anti-mouse IgG–Alexa Fluor 488 (Cell Signaling Technology; 1:1000).

After enzymatic treatment of spleens with collagenase D and DNase I (1 mg/ml and 20 μg/ml, respectively; Sigma-Aldrich) and preparation of single-cell suspensions, splenic DCs from early infected (7 dpi) WT or Lgals1−/− mice were sorted and transferred i.p. into WT animals (1 × 106 cells/mouse). Although parasites were not detected in donor DCs, we inoculated 100 RA-Tp immediately after i.p. DC injection to synchronize adoptive transfer and parasite inoculation. Parasitemia was evaluated every 3–5 d and mortality was recorded daily. Immunological responses were evaluated at 14 dpi.

Two groups were compared with an unpaired Student t test. For multiple comparisons, one-way ANOVA and a Tukey post hoc test or two-way ANOVA and Bonferroni post hoc correction were performed to analyze statistical significance. Survival was analyzed by Kaplan–Meier. Analyses were carried out using GraphPad Prism 4 software for Windows. A p value <0.05 was considered significant.

We first assessed whether Gal-1 deficiency influences the control of parasite burden and mice susceptibility to T. cruzi infection. For this purpose, Gal-1–deficient (Lgals1−/−) and WT mice were infected via i.d.p. route with T. cruzi Tp (RA strain). Whereas no differences were observed in blood parasitemia between Gal-1–deficient and WT mice until day 20 postinfection (Fig. 1A), Lgals1−/− animals survived longer and 20% reached the chronic stage of infection (Fig. 1B). Of note, these animals successfully controlled parasite load, and even after 50 dpi they still displayed low parasite counts using ultrasensitive methods (microhematocrit) (data not shown). As susceptibility to T. cruzi could be the result of an imbalance between inflammation, uncontrolled parasite multiplication, and tissue damage (8), we assessed these parameters in Lgals1−/− and WT mice. Histopathologic analysis revealed higher parasite load, measured as number of amastigotes nests and amastigotes per nest, in myocardium and hindlimb skeletal muscle from WT compared with Lgals1−/−-infected mice (Fig. 1C, 1D). These data suggest that Gal-1 controls susceptibility to T. cruzi infection in vivo.

FIGURE 1.

Gal-1 deficiency confers resistance to T. cruzi infection. (A and B) Lgals1−/− (○) and WT mice (●) were infected in the left hind footpad via i.d.p. route with 100 RA blood-Tp. Peripheral blood parasitemia (A) and survival curves (B) were analyzed during acute infection. A representative experiment of four performed with 5–10 mice per group is shown. Parasitemia is expressed as mean ± SEM. *p < 0.05, unpaired Student t test and Kaplan–Meier. (C) H&E staining of cardiac and hindlimb skeletal muscle from noninfected (NI) or infected (16 dpi) mice. Closed arrows show amastigotes nests; open arrows indicate mononuclear cell infiltrates. (D) Quantification of the number of amastigotes nests (left panel) and the average number of amastigotes per nest (right panel). At least 25 fields per section were analyzed (three to four sections or slices per mouse). Results are expressed as mean ± SEM from two experiments performed with three mice per group. *p < 0.05, **p < 0.01, two-way ANOVA and Bonferroni posttest. ND, nondetectable.

FIGURE 1.

Gal-1 deficiency confers resistance to T. cruzi infection. (A and B) Lgals1−/− (○) and WT mice (●) were infected in the left hind footpad via i.d.p. route with 100 RA blood-Tp. Peripheral blood parasitemia (A) and survival curves (B) were analyzed during acute infection. A representative experiment of four performed with 5–10 mice per group is shown. Parasitemia is expressed as mean ± SEM. *p < 0.05, unpaired Student t test and Kaplan–Meier. (C) H&E staining of cardiac and hindlimb skeletal muscle from noninfected (NI) or infected (16 dpi) mice. Closed arrows show amastigotes nests; open arrows indicate mononuclear cell infiltrates. (D) Quantification of the number of amastigotes nests (left panel) and the average number of amastigotes per nest (right panel). At least 25 fields per section were analyzed (three to four sections or slices per mouse). Results are expressed as mean ± SEM from two experiments performed with three mice per group. *p < 0.05, **p < 0.01, two-way ANOVA and Bonferroni posttest. ND, nondetectable.

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In previous studies, we found that Gal-1 expression was greater during the peak and resolution of autoimmune inflammatory responses (25). In this study, we found that Gal-1 mRNA and Gal-1 protein were upregulated in the spleen of infected mice at days 9 and 16 postinfection compared with noninfected mice (Fig. 2A, 2B). This effect was accompanied by augmented expression of TGF-β1 and IL-4 mRNA at 9 dpi (Fig. 2C).

FIGURE 2.

Endogenous Gal-1 is upregulated during T. cruzi infection and modulates cytokine production. Lgals1−/− and WT mice were infected via the i.d.p. route as described in Fig. 1. Relative Gal-1 mRNA (A) and protein (B) expression in splenocytes at days 0, 9, or 16 postinfection by quantitative real-time RT-PCR and immunoblot analysis, respectively. *p < 0.05, one-way ANOVA and Tukey posttest. (C) Total RNA was obtained from splenocytes and TGF-β1 (upper panel) and IL-4 (lower panel) mRNAs were measured by quantitative real-time RT-PCR. Results are presented relative to GAPDH mRNA and expressed as mean ± SEM (n = 5/condition, three independent experiments). *p < 0.05, two-way ANOVA and Bonferroni posttest. (D) IFN-γ and IL-10 were measured in serum (upper panel) and in splenocyte culture supernatants (lower panel) at 9 or 16 dpi by ELISA. Data are representative of five independent experiments with three replicates per group. *p < 0.05, WT versus Lgals1−/− (unpaired Student t test).

FIGURE 2.

Endogenous Gal-1 is upregulated during T. cruzi infection and modulates cytokine production. Lgals1−/− and WT mice were infected via the i.d.p. route as described in Fig. 1. Relative Gal-1 mRNA (A) and protein (B) expression in splenocytes at days 0, 9, or 16 postinfection by quantitative real-time RT-PCR and immunoblot analysis, respectively. *p < 0.05, one-way ANOVA and Tukey posttest. (C) Total RNA was obtained from splenocytes and TGF-β1 (upper panel) and IL-4 (lower panel) mRNAs were measured by quantitative real-time RT-PCR. Results are presented relative to GAPDH mRNA and expressed as mean ± SEM (n = 5/condition, three independent experiments). *p < 0.05, two-way ANOVA and Bonferroni posttest. (D) IFN-γ and IL-10 were measured in serum (upper panel) and in splenocyte culture supernatants (lower panel) at 9 or 16 dpi by ELISA. Data are representative of five independent experiments with three replicates per group. *p < 0.05, WT versus Lgals1−/− (unpaired Student t test).

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To understand the function of endogenous Gal-1 during T. cruzi infection, we then examined cytokine production in sera and splenocyte culture supernatants from Lgals1−/− versus WT mice. Parasite infection resulted in increased amounts of IFN-γ and IL-10 in samples from both WT and Lgals1−/− mice (Fig. 2D). However, whereas Lgals1−/− mice showed more IFN-γ in serum at 9 dpi, WT mice exhibited augmented IL-10 production in both culture supernatants and serum at 9 and 16 dpi, respectively (Fig. 2D). Additionally, we found no significant production of IL-17A during infection and no difference in the amounts of TNF between WT and Lgals1−/− mice (data not shown).

Because Gal-1 selectively regulates the viability of Th1 and Th17 cells through glycosylation-dependent mechanisms (20) and parasite infection results in spleen enlargement as a consequence of augmented lymphocyte polyclonal responses (9), we investigated the impact of Gal-1 deletion in shaping the T cell compartment during T. cruzi infection. We found enhanced cellularity in the spleen of Lgals1−/− mice compared with their WT counterpart at 9 dpi as evidenced by the increased number of viable cells (Fig. 3A) and larger spleen size (Fig. 3B). Notably, the lower cell count in spleens of infected WT mice correlated with increased annexin V (Fig. 3C) and propidium iodide (data not shown) staining of splenocytes. In this regard, WT but not Lgals1−/− mice experienced a decline in CD4+ T cells counts in the spleen in response to infection (Fig. 3D). Interestingly, contraction of the CD4+ T cell compartment was accompanied by enhanced Foxp3 and GATA-3 mRNA expression in infected WT mice (Fig. 3E). However, we found no significant changes in the expression of the transcription factors RORc and T-bet, associated with Th17 and Th1 subsets, respectively, at 9 or 16 dpi (Fig. 3E), suggesting a selective role of Gal-1 in the control of effector and Treg cell responses during T. cruzi infection. Of note, when we compared the repertoire of glycan structures (glycophenotype) present on the surface of noninfected versus infected WT and Lgals1−/− splenocytes, we only found a significant increase in the binding of biotinylated peanut agglutinin, a plant lectin that recognizes asialo core 1 O-glycans, in splenic CD4+ T cells from infected Lgals1−/− mice (Supplemental Fig. 1), probably reflecting an increase in their activation status (20).

FIGURE 3.

Gal-1 deficiency reshapes spleen cellularity and frequency of CD4+Foxp3+ T cells in T. cruzi–infected mice. (AF) Splenocytes were obtained from noninfected (NI) or infected animals at days 9 or 16 after Tp inoculation. (A) Total splenocyte number and viability in WT and Lgals1−/− mice were determined by trypan blue dye exclusion. (B) Dissected spleens from WT and Lgals1−/− mice obtained at 9 dpi. Annexin V staining (C) and frequency of splenic CD4+ T cells (D) were determined by flow cytometry. Propidium iodide staining revealed a similar tendency (data not shown). Results are expressed as mean ± SEM of seven independent experiments. *p < 0.05, **p < 0.01, unpaired Student t test and ANOVA for multiple comparisons. (E) Total RNA was obtained from WT and Lgals1−/− splenocytes and analyzed for Foxp3, GATA-3, RORc, and T-bet mRNA by quantitative real-time RT-PCR (n = 5/group, three independent experiments). Statistical analysis was performed using two-way ANOVA followed by a Bonferroni posttest. *p < 0.05, **p < 0.01, NI versus infected or WT versus Lgals1−/−. (F) Frequency of CD4+Foxp3+ T cells at 9 dpi analyzed by flow cytometry. One representative set of dot plots (left panels) and the summary data of three independent experiments (mean ± SEM; right panel) are shown. *p < 0.05, **p < 0.01, NI versus infected or WT versus Lgals1−/− (two-way ANOVA and Bonferroni posttest).

FIGURE 3.

Gal-1 deficiency reshapes spleen cellularity and frequency of CD4+Foxp3+ T cells in T. cruzi–infected mice. (AF) Splenocytes were obtained from noninfected (NI) or infected animals at days 9 or 16 after Tp inoculation. (A) Total splenocyte number and viability in WT and Lgals1−/− mice were determined by trypan blue dye exclusion. (B) Dissected spleens from WT and Lgals1−/− mice obtained at 9 dpi. Annexin V staining (C) and frequency of splenic CD4+ T cells (D) were determined by flow cytometry. Propidium iodide staining revealed a similar tendency (data not shown). Results are expressed as mean ± SEM of seven independent experiments. *p < 0.05, **p < 0.01, unpaired Student t test and ANOVA for multiple comparisons. (E) Total RNA was obtained from WT and Lgals1−/− splenocytes and analyzed for Foxp3, GATA-3, RORc, and T-bet mRNA by quantitative real-time RT-PCR (n = 5/group, three independent experiments). Statistical analysis was performed using two-way ANOVA followed by a Bonferroni posttest. *p < 0.05, **p < 0.01, NI versus infected or WT versus Lgals1−/−. (F) Frequency of CD4+Foxp3+ T cells at 9 dpi analyzed by flow cytometry. One representative set of dot plots (left panels) and the summary data of three independent experiments (mean ± SEM; right panel) are shown. *p < 0.05, **p < 0.01, NI versus infected or WT versus Lgals1−/− (two-way ANOVA and Bonferroni posttest).

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Because Gal-1 also influences the differentiation, expansion, and functional properties of Treg cells (21, 43, 44), we also analyzed the CD4+Foxp3+ T cell compartment in the spleens of noninfected and infected mice. In the absence of infection, WT mice displayed a discrete but slightly larger population of CD4+Foxp3+ T cells as compared with Lgals1−/− mice (Fig. 3F). Interestingly, T. cruzi infection considerably enhanced the frequency of CD4+Foxp3+ T cells in WT, but not in Lgals1−/−, animals (Fig. 3F), suggesting that endogenous Gal-1 may favor Treg cell differentiation or may promote their recruitment to the spleen during parasite infection.

The augmented frequency of CD4+Foxp3+ Treg cells in the spleen of WT-infected mice was accompanied by increased parasite load in hindlimb skeletal muscle and heart (Fig. 1C, 1D). Although we found no significant differences in the frequency of CD8+ T cells in spleens from WT and Lgals1−/− mice, the latter displayed a higher number of these cells in muscle infiltrates at day 16 postinfection (Fig. 4A). Cellular infiltrates in hindlimb skeletal muscle and heart from infected animals were found to be enriched with mononuclear cells (Fig. 4A), and only a third part of the total number of cells recovered from WT mice could be obtained from Lgals1−/− animals (data not shown), demonstrating that lower parasite load was accompanied by diminished number of infiltrating cells. Interestingly, cellular infiltrates in Lgals1−/− mice exhibited a higher number of IFN-γ–producing CD4+ T cells when stimulated with T. cruzi Ags in vitro (Fig. 4B). Additionally, at 16 dpi popliteal lymph nodes from Lgals1−/−-infected mice showed an increased frequency of CD4+ T cells (Fig. 4C) along with a considerable decline in the percentage of CD4+CD25+Foxp3+ Treg cells (Fig. 4D) and enhanced T cell proliferation as determined by Ki-67 staining (Fig. 4E). These results suggest that Gal-1 may favor T. cruzi persistence in infected hosts by limiting Th1 responses and enhancing Treg cell function.

FIGURE 4.

Gal-1 influences CD4+ and CD8+ T cell responses during the acute phase of T. cruzi infection. (A) Infiltrating mononuclear cells (iMC) obtained from hindlimb skeletal muscle tissues of WT and Lgals1−/− animals at 16 dpi were stained and analyzed by flow cytometry (R1 gated population, upper panel). The frequency of CD4+ and CD8+ T cells was expressed as mean ± SEM of three independent experiments performed with samples pooled from four to five mice per experimental group (lower panel). *p < 0.01, unpaired Student t test. (B) Intracytoplasmic staining of IFN-γ in infiltrating CD4+ and CD8+ T cells by flow cytometry. Mononuclear cells obtained from hearts isolated from WT or Lgals1−/− mice at 16 dpi were cultured in the presence of T.cruzi Ag (20 μg/ml) and brefeldin A (10 μg/ml) for 5 h at 37°C and then stained as described in 2Materials and Methods. Dot plots are representative of two independent experiments (n = 5/group). (C) Intracytoplasmic staining of IFN-γ in CD4+ T cells obtained from dLNs (popliteal) at 16 dpi. Dot plots are representative of three independent experiments (n = 2/group). (D) Detection of CD4+CD25+Foxp3+ Treg cells by flow cytometry in dLNs at 16 dpi. A representative experiment of three is shown (n = 2/group). Dotted line corresponds to isotype-matched control Ab, the thick line shows Lgals1−/− cells, and the gray histogram shows WT cells. (E) Intracellular detection of Ki-67 in T cells obtained from dLNs by flow cytometry at 16 dpi. One representative experiment out of three is shown (left panel). Dotted line corresponds to isotype-matched control Ab, the thick line shows cells from Lgals1−/− mice, and the gray histogram shows cells from WT mice. Graph summary (right panel) is expressed as mean ± SEM of three independent experiments. *p < 0.05, unpaired Student t test.

FIGURE 4.

Gal-1 influences CD4+ and CD8+ T cell responses during the acute phase of T. cruzi infection. (A) Infiltrating mononuclear cells (iMC) obtained from hindlimb skeletal muscle tissues of WT and Lgals1−/− animals at 16 dpi were stained and analyzed by flow cytometry (R1 gated population, upper panel). The frequency of CD4+ and CD8+ T cells was expressed as mean ± SEM of three independent experiments performed with samples pooled from four to five mice per experimental group (lower panel). *p < 0.01, unpaired Student t test. (B) Intracytoplasmic staining of IFN-γ in infiltrating CD4+ and CD8+ T cells by flow cytometry. Mononuclear cells obtained from hearts isolated from WT or Lgals1−/− mice at 16 dpi were cultured in the presence of T.cruzi Ag (20 μg/ml) and brefeldin A (10 μg/ml) for 5 h at 37°C and then stained as described in 2Materials and Methods. Dot plots are representative of two independent experiments (n = 5/group). (C) Intracytoplasmic staining of IFN-γ in CD4+ T cells obtained from dLNs (popliteal) at 16 dpi. Dot plots are representative of three independent experiments (n = 2/group). (D) Detection of CD4+CD25+Foxp3+ Treg cells by flow cytometry in dLNs at 16 dpi. A representative experiment of three is shown (n = 2/group). Dotted line corresponds to isotype-matched control Ab, the thick line shows Lgals1−/− cells, and the gray histogram shows WT cells. (E) Intracellular detection of Ki-67 in T cells obtained from dLNs by flow cytometry at 16 dpi. One representative experiment out of three is shown (left panel). Dotted line corresponds to isotype-matched control Ab, the thick line shows cells from Lgals1−/− mice, and the gray histogram shows cells from WT mice. Graph summary (right panel) is expressed as mean ± SEM of three independent experiments. *p < 0.05, unpaired Student t test.

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Previous studies demonstrated that Gal-1 triggers an immunoregulatory circuit mediated by IL-27–producing DCs and IL-10–secreting CD4+ T cells, which blunt Th1 and Th17 responses and promote the resolution of autoimmune inflammation (25). Interestingly, a number of tolerogenic stimuli, including vasoactive intestinal peptide, vitamin D3, and IL-10, augment Gal-1 expression and enhance DC tolerogenicity (25). Because T. cruzi Tp can reprogram DCs to become tolerogenic through mechanisms that are still poorly understood (10, 16, 17), we explored whether limited anti-parasite responses in WT mice could arise from Gal-1–mediated impairment of DC immunogenicity and function. Binding of Tp to BMDCs led to considerable upregulation of Gal-1 protein expression (Fig. 5A). As compared with BMDCs from Lgals1−/− mice, T. cruzi–stimulated WT BMDCs (BMDCsTp) displayed lower MHC II expression (Fig. 5B). Moreover, LPS-stimulated WT BMDCs cultured in the presence of Tp (BMDCsTp+LPS) showed poorer allostimulatory capacity in MLRs compared with Lgals1−/− counterparts (Fig. 5C). Of note, T cell priming with Lgals1−/− BMDCsTp+LPS resulted in augmented T cell proliferation and enhanced IL-2 and IFN-γ production compared with T cells exposed to WT BMDCsTp+LPS (Fig. 5C, 5E), suggesting that T. cruzi subverts BMDCs immunogenicity via Gal-1–dependent mechanisms. Interestingly, diminished T cell responsiveness relied not only on Tp-conditioned Gal-1–sufficient tolerogenic DCs, but also on the presence of Gal-1–sufficient T cells (Fig. 5D), suggesting that Gal-1 synthesized by both DCs and T cells contribute to parasite-induced tolerogenic circuits.

FIGURE 5.

T. cruzi instructs DCs and T cells to become regulatory via Gal-1–dependent mechanisms. (AI) WT or Gal-1–deficient BMDCs were stimulated for 18 h with Tp in the presence or absence of LPS and their activation status, phenotype, and allostimulatory activity were studied in vitro. (A) Immunoblot analysis of Gal-1 expression in WT BMDCs stimulated or not with Tp (BMDCsTp). One representative experiment of five is shown; band intensity is relative to that of β-actin (RE). (B) Flow cytometry of MHC II expression in WT or Lgals1−/− BMDCs. Open histogram shows Lgals1−/− BMDCsTp, gray histogram shows WT BMDCsTp and dotted line shows staining with isotype-matched control Ab. One of three independent experiments is shown. (C–F) Depending on the experiment, WT or Lgals1−/− allogeneic T cells (CD3+) were cocultured for 3 d with WT or Lgals1−/− BMDCs prestimulated with LPS in the absence (BMDCsLPS) or presence (BMDCsTp+LPS) of Tp or left untreated (control). (C) T cell proliferation was assessed by [3H]thymidine incorporation and expressed as cpm (mean ± SEM of triplicate samples). One of five representative experiments is shown. *p < 0.05 versus BMDC untreated controls (one-way ANOVA and Tukey posttest). (D) Influence of T cell–derived Gal-1 on DC-mediated inhibition of T cell responses. Purified CD3+ T cells from WT or Lgals1−/− mice were cocultured with WT BMDCsLPS or BMDCsTp+LPS. One of five representative experiments is shown. *p < 0.01, two-way ANOVA and Bonferroni posttest. (E) Following cocultures described in (C), supernatants were harvested and the concentrations of IL-10, IL-2, and IFN-γ were measured by ELISA. Results are expressed as the mean ± SEM of five independent experiments. *p < 0.05, **p < 0.01 (two-way ANOVA and Bonferroni posttest). (F) [3H]thymidine incorporation by allogeneic T cells cultured with WT BMDCs exposed to different stimuli in the presence or absence of IL-10 or IL-27 (p28) blocking Ab. *p < 0.05 (one-way ANOVA and Tukey correction). (G) Secondary MLR. Naive CD4+ T cells purified from lymph nodes were primed with WT BMDCsLPS (pCD4-BMDCsLPS), WT BMDCsTp+LPS (pCD4-BMDCsTp+LPS), or Lgals1−/− BMDCsTp+LPS in primary MLR. After 5 d, primed CD4+ T cells (pCD4+) were purified by cell sorting (CD3+) and added to a secondary MLR in the presence of control BMDCs plus naive CD4+ T cells. After 3 d, proliferation was assessed by [3H]thymidine incorporation (mean ± SEM from triplicates). Data from one of three experiments are shown. *p < 0.05, **p < 0.01 versus allo-CD4+ T cells plus BMDCs (one-way ANOVA and Tukey correction). (H and I) OVA-specific T cell response and differentiation assay after OT-II CD4+ T cell culture with WT or Lgals1−/− BMDCs exposed to different stimuli and OVA peptide (50 μg/ml) as described in 2Materials and Methods. (H) Proliferation of OVA-specific OT-II CD4+ T cells was measured by [3H]thymidine incorporation. Results are expressed as mean ± SEM from triplicates (n = 3). *p < 0.05 versus BMDCs untreated control (one-way ANOVA, Tukey posttest). (I) Analysis of CD4+Foxp3+ T cells by flow cytometry after culturing purified OVA-specific naive CD4+CD62Lhigh T cells as described in 2Materials and Methods. Dot plots representative of three independent experiments are shown (left). Summary bars (right) are expressed as the mean ± SEM (n = 3). *p < 0.05, unpaired Student t test.

FIGURE 5.

T. cruzi instructs DCs and T cells to become regulatory via Gal-1–dependent mechanisms. (AI) WT or Gal-1–deficient BMDCs were stimulated for 18 h with Tp in the presence or absence of LPS and their activation status, phenotype, and allostimulatory activity were studied in vitro. (A) Immunoblot analysis of Gal-1 expression in WT BMDCs stimulated or not with Tp (BMDCsTp). One representative experiment of five is shown; band intensity is relative to that of β-actin (RE). (B) Flow cytometry of MHC II expression in WT or Lgals1−/− BMDCs. Open histogram shows Lgals1−/− BMDCsTp, gray histogram shows WT BMDCsTp and dotted line shows staining with isotype-matched control Ab. One of three independent experiments is shown. (C–F) Depending on the experiment, WT or Lgals1−/− allogeneic T cells (CD3+) were cocultured for 3 d with WT or Lgals1−/− BMDCs prestimulated with LPS in the absence (BMDCsLPS) or presence (BMDCsTp+LPS) of Tp or left untreated (control). (C) T cell proliferation was assessed by [3H]thymidine incorporation and expressed as cpm (mean ± SEM of triplicate samples). One of five representative experiments is shown. *p < 0.05 versus BMDC untreated controls (one-way ANOVA and Tukey posttest). (D) Influence of T cell–derived Gal-1 on DC-mediated inhibition of T cell responses. Purified CD3+ T cells from WT or Lgals1−/− mice were cocultured with WT BMDCsLPS or BMDCsTp+LPS. One of five representative experiments is shown. *p < 0.01, two-way ANOVA and Bonferroni posttest. (E) Following cocultures described in (C), supernatants were harvested and the concentrations of IL-10, IL-2, and IFN-γ were measured by ELISA. Results are expressed as the mean ± SEM of five independent experiments. *p < 0.05, **p < 0.01 (two-way ANOVA and Bonferroni posttest). (F) [3H]thymidine incorporation by allogeneic T cells cultured with WT BMDCs exposed to different stimuli in the presence or absence of IL-10 or IL-27 (p28) blocking Ab. *p < 0.05 (one-way ANOVA and Tukey correction). (G) Secondary MLR. Naive CD4+ T cells purified from lymph nodes were primed with WT BMDCsLPS (pCD4-BMDCsLPS), WT BMDCsTp+LPS (pCD4-BMDCsTp+LPS), or Lgals1−/− BMDCsTp+LPS in primary MLR. After 5 d, primed CD4+ T cells (pCD4+) were purified by cell sorting (CD3+) and added to a secondary MLR in the presence of control BMDCs plus naive CD4+ T cells. After 3 d, proliferation was assessed by [3H]thymidine incorporation (mean ± SEM from triplicates). Data from one of three experiments are shown. *p < 0.05, **p < 0.01 versus allo-CD4+ T cells plus BMDCs (one-way ANOVA and Tukey correction). (H and I) OVA-specific T cell response and differentiation assay after OT-II CD4+ T cell culture with WT or Lgals1−/− BMDCs exposed to different stimuli and OVA peptide (50 μg/ml) as described in 2Materials and Methods. (H) Proliferation of OVA-specific OT-II CD4+ T cells was measured by [3H]thymidine incorporation. Results are expressed as mean ± SEM from triplicates (n = 3). *p < 0.05 versus BMDCs untreated control (one-way ANOVA, Tukey posttest). (I) Analysis of CD4+Foxp3+ T cells by flow cytometry after culturing purified OVA-specific naive CD4+CD62Lhigh T cells as described in 2Materials and Methods. Dot plots representative of three independent experiments are shown (left). Summary bars (right) are expressed as the mean ± SEM (n = 3). *p < 0.05, unpaired Student t test.

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To further understand the mechanisms underlying this immunosuppressive pathway, we then examined whether Gal-1 binds to Tp. Recombinant Gal-1 bound weakly to Tp (Supplemental Fig. 2A) and neither its supplementation in cell cultures nor its endogenous deletion altered Tp binding to BMDCs or Tp infective capacity (Supplemental Fig. 2B, 2C). Interestingly, we found a trend (not statistically significant) toward increased IL-27 production in WT compared with Lgals1−/− BMDCs exposed to T. cruzi (Supplemental Fig. 2D). Accordingly, Ab-mediated blockade of IL-27p28 or IL-10 partially prevented suppression of T cell responses induced by Tp-stimulated Gal-1–sufficient WT BMDCs (Fig. 5F).

To determine whether allogeneic T cells become regulatory upon exposure to tolerogenic BMDCsTp+LPS, we purified CD4+ T cells from a primary MLR and cultured them in a secondary MLR. We found dose-dependent inhibition of CD4+ T cell proliferation when these cells were cocultured with CD4+ T cells primed with WT but not with Gal-1–deficient BMDCsTp+LPS (Fig. 5G). Because Gal-1 controls the suppressive activity of Treg cells (43), we then examined whether tolerogenic BMDCsTp+LPS induced the differentiation of Treg cells in vitro by analyzing OVA-specific T cell responses. We found inhibition of OVA-specific T cell proliferation and induction of CD4+Foxp3+ Treg cells after coculturing naive CD4+CD62Lhigh T cells purified from OT-II mice with OVA-pulsed syngeneic WT but not Lgals1−/− BMDCsTp+LPS (Fig. 5H, 5I). Thus, Gal-1–sufficient DCs respond to Tp by acquiring tolerogenic properties that influence the differentiation of fully functional suppressive Treg cells.

Previous reports documented the presence of myeloid regulatory cells in the spleen of T. cruzi–infected mice that counteract parasite-induced exacerbation of inflammatory responses (4547). In this regard, we and others have demonstrated that APCs, including DCs, display altered maturation during experimental T. cruzi infection (10, 12). In this study, we detected high expression of Gal-1 in dLNs early during infection (2 dpi) in the vicinity of CD11c+ DC areas (Fig. 6A). Intracellular flow cytometry confirmed upregulated expression of Gal-1 at 2 dpi (Fig. 6B). To explore how Gal-1 deficiency influences the generation of immunogenic DCs in vivo, we first examined the presence of different cell populations in dLNs and spleens from Lgals1−/− and WT infected mice. Interestingly, we detected a time-dependent influx of CD11c+ DCs to dLNs that was more pronounced in Lgals1−/− mice than in WT infected animals at 2 and 16 dpi (Fig. 6C). Whereas no substantial differences were observed in the type of DC populations recruited to lymph nodes of WT and Lgals1−/− mice, CD11c+ DCs from Lgals1−/− mice expressed higher expression of MHC II than did their WT counterpart (Fig. 6D). Thus, DCs lacking Gal-1 are equipped with greater T cell stimulatory capacity in response to T. cruzi infection in vivo.

FIGURE 6.

T. cruzi–driven tolerogenic circuits are mediated by endogenous Gal-1 in vivo. dLNs (popliteal) or spleens were obtained from WT and/or Lgals1−/− mice 2, 9, or 16 dpi depending on the assay. (A and B) Expression of Gal-1 in dLNs from noninfected (NI) or infected (2 dpi) WT mice. (A) Confocal microscopy analysis. Sections were stained with Hoechst 33258 for nuclei (blue), anti–Gal-1 Ab (red), and Ab against α-smooth muscle actin (α-SMA), CD4, CD8, or CD11c (green) Abs as described in 2Materials and Methods. Images of individual markers were acquired with the same parameters using ×60 or ×10 original magnification. (B) Detection of intracellular Gal-1 by flow cytometry. One representative experiment of three is shown both in (A) and (B). (C) Single-cell suspensions were obtained from dLNs of WT and Lgals1−/− mice at 2, 9, and 16 dpi and the percentage of CD11c+ cells was determined by flow cytometry. Mean ± SEM of three independent experiments is shown. *p < 0.05, unpaired Student t test. (D) Two-day postinfection single-cell suspensions from dLNs of WT and Lgals1−/− mice were analyzed by flow cytometry for the expression of CD11c. Gated CD11c+ cells were further analyzed for MHC II, CD86, CD11b, Ly-6C, CD8α, and CD4 expression. One representative experiment of three is shown. (E and F) Characterization of the myeloid cell compartment in spleens of infected WT and Lgals1−/− mice isolated at 9 or 16 dpi. (E) Gating strategy for CD11b+ cells. (F) Granulocytes (CD11b+Gr-1+) and myeloid DCs (CD11b+CD11c+) gated in the R1 region (E, upper panel) from WT and Lgals1−/− mice. Results are expressed as the mean ± SEM of five independent experiments. *p < 0.05, **p < 0.01 infected versus noninfected (NI); #p < 0.05 WT versus Lgals1−/− (two-way ANOVA and Bonferroni posttest). (G) Total RNA from splenocytes of WT and Lgals1−/− mice was obtained and PD-L2 and IDO mRNA were measured by quantitative real-time RT-PCR. Results are presented relative to GAPDH mRNA and expressed as mean ± SEM (n = 5/condition, three independent experiments). *p < 0.05 infected versus NI, #p < 0.05 WT versus Lgals1−/−-infected mice (two-way ANOVA and Bonferroni posttest). (H) Splenic CD11c+IL-10+ cells were analyzed by flow cytometry at 9 dpi using R1 gating strategy. Representative dot plots of three independent experiments with similar results are shown. (I and J) CD11c+ DCs were purified from the spleen of NI or infected WT and Lgals1−/− mice at 9 dpi and their activation status was determined. (I) MHC II expression analyzed by flow cytometry. MFI, mean fluorescence intensity (n = 3, mean ± SEM). *p < 0.05, unpaired Student t test. (J) Purified DCs were cocultured with CD3+ T cells (BALB/c) and their allostimulatory capacity was analyzed ex vivo. Proliferation was assessed by [3H]thymidine incorporation. One of three independent experiments is shown and represented as mean ± SEM from triplicates. *p < 0.05 NI WT versus WT 9 dpi and WT 9 dpi versus Lgals1−/− 9 dpi (two-way ANOVA and Bonferroni posttest).

FIGURE 6.

T. cruzi–driven tolerogenic circuits are mediated by endogenous Gal-1 in vivo. dLNs (popliteal) or spleens were obtained from WT and/or Lgals1−/− mice 2, 9, or 16 dpi depending on the assay. (A and B) Expression of Gal-1 in dLNs from noninfected (NI) or infected (2 dpi) WT mice. (A) Confocal microscopy analysis. Sections were stained with Hoechst 33258 for nuclei (blue), anti–Gal-1 Ab (red), and Ab against α-smooth muscle actin (α-SMA), CD4, CD8, or CD11c (green) Abs as described in 2Materials and Methods. Images of individual markers were acquired with the same parameters using ×60 or ×10 original magnification. (B) Detection of intracellular Gal-1 by flow cytometry. One representative experiment of three is shown both in (A) and (B). (C) Single-cell suspensions were obtained from dLNs of WT and Lgals1−/− mice at 2, 9, and 16 dpi and the percentage of CD11c+ cells was determined by flow cytometry. Mean ± SEM of three independent experiments is shown. *p < 0.05, unpaired Student t test. (D) Two-day postinfection single-cell suspensions from dLNs of WT and Lgals1−/− mice were analyzed by flow cytometry for the expression of CD11c. Gated CD11c+ cells were further analyzed for MHC II, CD86, CD11b, Ly-6C, CD8α, and CD4 expression. One representative experiment of three is shown. (E and F) Characterization of the myeloid cell compartment in spleens of infected WT and Lgals1−/− mice isolated at 9 or 16 dpi. (E) Gating strategy for CD11b+ cells. (F) Granulocytes (CD11b+Gr-1+) and myeloid DCs (CD11b+CD11c+) gated in the R1 region (E, upper panel) from WT and Lgals1−/− mice. Results are expressed as the mean ± SEM of five independent experiments. *p < 0.05, **p < 0.01 infected versus noninfected (NI); #p < 0.05 WT versus Lgals1−/− (two-way ANOVA and Bonferroni posttest). (G) Total RNA from splenocytes of WT and Lgals1−/− mice was obtained and PD-L2 and IDO mRNA were measured by quantitative real-time RT-PCR. Results are presented relative to GAPDH mRNA and expressed as mean ± SEM (n = 5/condition, three independent experiments). *p < 0.05 infected versus NI, #p < 0.05 WT versus Lgals1−/−-infected mice (two-way ANOVA and Bonferroni posttest). (H) Splenic CD11c+IL-10+ cells were analyzed by flow cytometry at 9 dpi using R1 gating strategy. Representative dot plots of three independent experiments with similar results are shown. (I and J) CD11c+ DCs were purified from the spleen of NI or infected WT and Lgals1−/− mice at 9 dpi and their activation status was determined. (I) MHC II expression analyzed by flow cytometry. MFI, mean fluorescence intensity (n = 3, mean ± SEM). *p < 0.05, unpaired Student t test. (J) Purified DCs were cocultured with CD3+ T cells (BALB/c) and their allostimulatory capacity was analyzed ex vivo. Proliferation was assessed by [3H]thymidine incorporation. One of three independent experiments is shown and represented as mean ± SEM from triplicates. *p < 0.05 NI WT versus WT 9 dpi and WT 9 dpi versus Lgals1−/− 9 dpi (two-way ANOVA and Bonferroni posttest).

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Interestingly, and regardless of Gal-1 expression, spleen enlargement in T. cruzi–infected mice was associated with the recruitment of CD11b+ myeloid cells (Fig. 6E, 6F,, upper panel). Parasite infection enhanced both the number of CD11b+Gr1+ granulocytes (Fig. 6E, gate G1, lower panel, 6F,, middle panel) and myeloid–mononuclear cells, including CD11b+CD11c+ “DC-like” cells, CD11b+Ly6Chigh monocytes, and F4/80+ macrophages (Fig. 6F, lower panel and data not shown). Following analysis of the R1 region (Fig. 6E, upper panel), we observed that both CD11b+Gr1+ and CD11b+CD11c+ populations were increased in WT and Lgals1−/−-infected mice at 9 dpi; however, accumulation of DCs was greater in WT infected mice at 16 dpi (Fig. 6F, lower panel). The largest expansion of the myeloid cell compartment in WT-infected mice was preceded by considerable upregulation of PD-L2 and IDO mRNA (Fig. 6G) and augmented IL-10 production by CD11c+ DCs (Fig. 6H), suggesting a key role of endogenous Gal-1 in activating tolerogenic pathways in vivo during T. cruzi infection.

To further analyze the activation status of splenic DCs, we purified CD11c+ cells from WT and Lgals1−/−-infected and non-infected mice and analyzed MHC II surface expression and allostimulatory capacity ex vivo. Parasite infection led to downregulation of MHC II expression in splenic DCs from WT animals (Fig. 6I). Moreover, these cells displayed diminished capacity to stimulate allogeneic T cell responses compared with splenic DCs from Lgals1−/−-infected mice or DCs from noninfected WT mice (Fig. 6J). Thus, DC-derived Gal-1 is essential for activation of tolerogenic circuits and impairment of T cell responses triggered by T. cruzi infection in vivo.

As compared with their WT counterpart, Lgals1−/−-infected mice showed higher frequency of CD8+ T cells infiltrating tissues, higher responsiveness of Ag-specific CD4+ T cells ex vivo, and lower numbers of CD4+CD25+Foxp3+ Treg cells in secondary lymphoid organs together with more immunogenic DCs (Figs. 4, 5). To address the capacity of Gal-1–deficient DCs to overcome T cell unresponsiveness in vivo, we adoptively transferred DCs purified from spleens of early infected Lgals1−/− or WT mice into WT recipients prior to infection as described in 2Materials and Methods. We found that mice receiving Lgals1−/− DCs displayed lower blood parasite counts and lower susceptibility to T. cruzi infection compared with mice transferred with WT DCs or nontransferred WT mice (Fig. 7A, 7B). Additionally, T. cruzi–infected WT mice receiving Lgals1−/− DCs displayed an enhanced Th1 response at 14 dpi as shown by the greater number of IFN-γ–producing CD4+ T cells in the spleen (Fig. 7C) and inguinal lymph nodes (Fig. 7D) compared with WT infected mice transferred with Gal-1–sufficient DCs. This effect was accompanied by a lower frequency of CD4+CD25+Foxp3+ T cells in inguinal lymph nodes (Fig. 7E). Thus, disruption of Gal-1 on DCs contributes, at least in part, to thwart parasite-driven tolerogenic circuits, to amplify Th1 immunity, and to enhance resistance to T. cruzi infection.

FIGURE 7.

Adoptive transfer of DCs lacking Gal-1 enhances resistance to T. cruzi infection and stimulates T cell–dependent anti-parasite immunity. WT mice were adoptively transferred with Lgals1−/− or WT DCs (i.p.) and infected with 100 RA-Tp using the same inoculation route. Blood parasitemia (A) and survival curves analyzed by Kaplan–Meier (B) from WT infected mice receiving WT DCs (●) or Lgals1−/− DCs (○) are shown. Infected mice not receiving DCs are shown as closed squares. A representative experiment of two is shown, performed with at least three to six mice per group. Parasitemia is expressed as mean ± SEM. *p < 0.05, unpaired Student t test. (C and D) Ex vivo IFN-γ production by CD4+ T cells isolated from spleen (C) or dLNs (D) from T. cruzi–infected mice receiving Lgals1−/− or WT DCs. Intracellular IFN-γ was detected by flow cytometry after stimulation with T. cruzi Ag (20 μg/ml) in vitro. Dot plots of two independent experiments are shown (n = 2). Results are expressed as mean ± SEM. *p < 0.05, **p < 0.01, unpaired Student t test. (E) Flow cytometry of CD4+Foxp3+ T cells (dot plot) or Foxp3+ cells in CD4+CD25+ gated population (histogram) from inguinal lymph nodes isolated at 14 dpi from infected WT mice receiving Lgals1−/− or WT DCs. One of two independent experiments with similar results is shown (n = 2 animals/group).

FIGURE 7.

Adoptive transfer of DCs lacking Gal-1 enhances resistance to T. cruzi infection and stimulates T cell–dependent anti-parasite immunity. WT mice were adoptively transferred with Lgals1−/− or WT DCs (i.p.) and infected with 100 RA-Tp using the same inoculation route. Blood parasitemia (A) and survival curves analyzed by Kaplan–Meier (B) from WT infected mice receiving WT DCs (●) or Lgals1−/− DCs (○) are shown. Infected mice not receiving DCs are shown as closed squares. A representative experiment of two is shown, performed with at least three to six mice per group. Parasitemia is expressed as mean ± SEM. *p < 0.05, unpaired Student t test. (C and D) Ex vivo IFN-γ production by CD4+ T cells isolated from spleen (C) or dLNs (D) from T. cruzi–infected mice receiving Lgals1−/− or WT DCs. Intracellular IFN-γ was detected by flow cytometry after stimulation with T. cruzi Ag (20 μg/ml) in vitro. Dot plots of two independent experiments are shown (n = 2). Results are expressed as mean ± SEM. *p < 0.05, **p < 0.01, unpaired Student t test. (E) Flow cytometry of CD4+Foxp3+ T cells (dot plot) or Foxp3+ cells in CD4+CD25+ gated population (histogram) from inguinal lymph nodes isolated at 14 dpi from infected WT mice receiving Lgals1−/− or WT DCs. One of two independent experiments with similar results is shown (n = 2 animals/group).

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All together, our results show that T. cruzi infection triggers a regulatory program mediated by endogenous Gal-1, which favors parasite persistence (Fig. 8).

FIGURE 8.

Schematic representation of the Gal-1–mediated regulatory circuit triggered during acute T. cruzi infection. Early after parasite entry, T. cruzi Tp foster a tolerogenic circuit involving the release of anti-inflammatory mediators by DCs, downregulation of MHC II expression, induction of CD4+Foxp3+ Treg cells, and inhibition of effector Th1 and CD8+ T cell responses. This regulatory network leads to increased parasite burden in muscle tissues and greater susceptibility to infection. Tc, cytotoxic T cells.

FIGURE 8.

Schematic representation of the Gal-1–mediated regulatory circuit triggered during acute T. cruzi infection. Early after parasite entry, T. cruzi Tp foster a tolerogenic circuit involving the release of anti-inflammatory mediators by DCs, downregulation of MHC II expression, induction of CD4+Foxp3+ Treg cells, and inhibition of effector Th1 and CD8+ T cell responses. This regulatory network leads to increased parasite burden in muscle tissues and greater susceptibility to infection. Tc, cytotoxic T cells.

Close modal

In the present study, we identified a regulatory circuit hierarchically driven by the endogenous β-galactoside–binding lectin Gal-1 that contributes to differentiation of tolerogenic DCs and Foxp3+ Treg cells during acute T. cruzi infection, blunts effector T cell responses, and favors parasite persistence in host tissues (Fig. 8). Although susceptibility to acute T. cruzi infection relies on the inoculum, the route of parasite entrance, and the strains of mice and parasites, pathogenesis is associated with a Th1-type inflammatory process that not only controls parasite burden, but can also damage host tissue (4, 8, 48). As a result, the outcome of infection and host survival depends both on the preservation of tissue integrity and parasite elimination.

Despite the ability of effector T cells to limit T. cruzi spreading (8, 9), the parasite cannot be completely cleared, suggesting the activation of multiple immune evasion strategies and tolerogenic circuits, which negatively regulate anti-parasite responses (6, 11, 16). Accordingly, components from the surface of Tp were found to shape DC tolerogenicity via pattern recognition receptors (17). Additionally, recent findings demonstrated that T. cruzi strains belonging to different discrete typing units display distinct strategies for immune evasion, leading to negative modulation of DC physiology (49). Results shown in the present study demonstrate that T. cruzi usurps the Gal-1 pathway to impart a tolerogenic program mediated by DCs and T cells early after infection.

Lectin–glycan interactions critically influence immune tolerance and homeostasis by selectively dampening pathogenic T cell responses, by instructing the differentiation of tolerogenic DCs, and/or by promoting differentiation, expansion, and/or recruitment of Treg cells (19). Lectin–glycan lattices can also control host–pathogen interactions by acting as pattern recognition receptors that trigger a variety of signaling pathways to amplify or resolve parasite-associated inflammatory responses (26, 27). Gal-1 binds to glycans on a variety of viral envelope glycoproteins, controlling viral adsorption and infection of target cells (22, 23). In this context, recent findings indicated the ability of this endogenous lectin to enhance the binding of the protozoan parasite Trichomonas vaginalis to cervical epithelial cells (34), whereas Gal-3 and Gal-9 can bind glycan structures in trypanosomatids (28, 33). Regarding T. cruzi, Pineda et al. (39) recently showed the differential recognition of 14 different strains of T. cruzi corresponding to variable genetic lineages by human Gal-1, -3, -4, -7, and -8. In the present study, we observed substantial upregulation of Gal-1 in T. cruzi–infected mice and higher parasite load in skeletal muscle and heart from WT infected versus Lgals1−/− mice. However, we found no direct correlation between Gal-1 expression and T. cruzi invasion of myeloid host cells. Although Gal-1 bound weakly to Tp, no biological effect could be associated to this interaction under our experimental conditions, as neither exogenous nor endogenous Gal-1 could influence parasite access to myeloid cells in culture. Moreover, we recently found that both exogenous and endogenous Gal-1 inhibit infection of cardiac cells in a carbohydrate-dependent fashion (A.F. Benatar, G.A. Garcia, J. Buá, J.P. Cerliani, M. Postan, L.M. Tasso, J. Scaglione, J.C. Stupirski, M.A. Toscano, G.A. Rabinovich, K.A. Gómez, unpublished data). These results rule out a possible role of Gal-1 as a positive mediator of muscle parasitism and reinforce the notion that Gal-1 acts mainly by dampening anti-parasite immunity.

In cancer and autoimmune settings, Gal-1 has been implicated in the control of tolerogenic programs by modulating tumor cell evasion of immune responses and promoting the resolution of chronic inflammatory responses (24). Nevertheless, the role of this lectin in regulating anti-parasite immunity in vivo has not yet been examined. Previous studies demonstrated the expression of Gal-1 in T. cruzi–infected immune cells (35, 36). Moreover, in human settings, this lectin has been shown to be prominently expressed in cardiac tissue from patients with severe chronic Chagas’ disease (50). In this study, we demonstrate a tolerogenic role for Gal-1 during acute T. cruzi infection. Two days after the parasite entry, dLNs showed augmented expression of Gal-1, which critically influenced the tolerogenic properties of DCs and T cells, leading to parasite persistence through downmodulation of Th1 responses. Infected WT mice Gal-1–deficient DCs showed greater frequency of IFN-γ–producing CD4+ T cells, displayed lower number of Foxp3+ Treg cells in dLNs, and developed augmented Th1 responses in peripheral tissues.

CD8+ T cells are considered to be key contributors to Chagas’ disease–associated cardiomyopathy (7, 8), and mice survival is linked to low parasitemia and high frequency of IFN-γ/IL-10 double-positive CD8 effector T cells in the myocardium (51). Several regulatory pathways have been shown to contribute to inhibition of both CD8+ and Th1-type responses (9). It has become clear that distinct DC subpopulations may exhibit divergent functions in vivo either evoking inflammatory responses or favoring immune tolerance during the course of parasite infection. These cells may activate tolerogenic programs through promotion of T cell anergy or induction of Treg cells (52, 53). Inducible Treg cells may play a paradoxical role in defining the outcome of infectious diseases, as they may prevent pathogen clearance or limit collateral tissue damage through suppression of inflammatory responses (5456). Interestingly, in a model of murine cerebral malaria, removal of Treg cells reduced parasite spreading and attenuated the pathogenic process in the brain (57). However, during T. cruzi infection, depletion of Treg cells led to contradictory results, although an overall analysis of these studies revealed a dominant role for these cells in controlling parasite elimination (5860). Contrasting results could be due to the use of different strategies leading to Treg cell depletion or to inhibition of clonal expansion of activated T cells through CD25 blockade. Moreover, during parasite infections, suppressive mechanisms and immune evasive programs may vary according to pathogen-intrinsic characteristics, their entry route, stage of infection, and different molecules involved in pathogen recognition (54). In this context, Gal-1 could play a pivotal role by hierarchically regulating tolerogenic programs at different stages of the disease (19). During the acute stage of the disease, T. cruzi may condition DCs to produce high amounts of Gal-1, which together with IL-10 and TGF-β1 (16) may influence the course of Chagas’ disease. Further studies are warranted to elucidate the DC receptors and signaling pathways implicated in T. cruzi–induced Gal-1 synthesis.

Assessment of specific and effective anti-parasite responses in Chagas’ disease has become complex because acute T. cruzi infection is followed by extensive polyclonal activation even before the immune system mounts particular T cell responses (8, 9). In this study, we identified augmented Th1 cells associated with low parasite burden in secondary lymphoid organs and tissues from Lgals1−/−-infected mice or in WT mice adoptively transferred with Gal-1–deficient DCs, suggesting that interruption of the Gal-1–glycan axis may contribute to circumvent parasite-driven tolerogenic pathways.

Genetic classification of T. cruzi strains constitutes a framework to study the biological variability linked to parasite pathogenicity. Intrinsic characteristics of this pathogen such as virulence factors, Ag composition, and tissue tropism may affect the outcome of infection. Monteiro et al. (61) have previously described the effect of cruzipain, a parasite cysteine protease, in the release of endogenous mediators sensed by bradykinin B2 receptor in cooperation with TLR2 for the induction of Th1-dependent immunity. The authors further showed the critical role of B2 receptor in promoting DC activation and evoking protective responses in response to kinins proteolytically released by the parasite (62). Whether engagement of TLR2 or the B2 receptor on DCs may influence the Gal-1 tolerogenic pathway still remains to be elucidated. Additionally, given the involvement of TLR4 in IL-10 induction during T. cruzi–BMDC interaction (17), further studies are required to investigate the possible interplay between TLR4 and the Gal-1 tolerogenic pathway during parasite infection. Interestingly, T. cruzi may display diverse Ag composition and variable enzymatic activities, depending on parasite strains. In this regard, previous work has described stage dependency in cruzipain expression in RA (63) and higher representation of trans-sialidase in more virulent strains (64). Emerging evidence also demonstrates that individual strains can elicit different proinflammatory responses through mechanisms involving GPI-associated mucins (65). Thus, low expression of danger signals such as GPI-associated mucins, cruzipain, and/or trans-sialidase may explain preferential reprograming of DC phenotype by different strains (49) and subsequent regulation of anti-parasite immunity.

In summary, in this study, we identified a critical role for endogenous Gal-1 in modulating the outcome of T. cruzi infection by fueling immunosuppressive circuits, involving tolerogenic DCs and Tregs, that contribute to dampen anti-parasite immunity. A more complete understanding of the immunoevasive programs elicited by T. cruzi will contribute to the design of rational strategies for the control of Chagas’ disease.

We thank S. Dergan Dylon, D. Croci, N. Macchiaroli, and W. Unger for advice and E. Gimenez, S. Gatto, and R. Morales for technical assistance.

This work was supported by grants from the Agencia Nacional de Promoción Científica y Tecnológica (Argentina), Consejo Nacional de Investigaciones Científicas y Técnicas (Argentina), Universidad de Buenos Aires (Argentina), Fundación Sales (Argentina), and Boehringer Ingelheim Fonds (Germany).

The online version of this article contains supplemental material.

Abbreviations used in this article:

BMDC

bone marrow–derived DC

DC

dendritic cell

dLN

draining lymph node

dpi

day postinfection

Gal

galectin

i.d.p.

intradermoplantar

Lgals1−/−

galectin-1–deficient

MHC II

MHC class II

PD-L

programmed death ligand

Tp

trypomastigote

Treg

T regulatory

WT

wild-type.

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The authors have no financial conflicts of interest.

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