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Research ArticleInfectious disease Free access | 10.1172/JCI38813
1INSERM, Unité 906, Marseille, France. 2Faculté de Médecine, Aix-Marseille Université UMR 906, Marseille, France. 3IFR88, Institut de Microbiologie de la Méditerranée, Marseille, France. 4Faculty of Medicine, Department of Medical Microbiology and Parasitology, University of Khartoum, Khartoum, Sudan. 5Assistance Publique, Hôpitaux de Marseille, CHU Timone, Laboratoire de Parasitologie Mycologie, Marseille, France.
Address correspondence to: Alain Dessein, Immunology and Genetics of Parasitic Diseases, INSERM UMR 906, Timone Faculty of Medicine, 27 Blvd. Jean Moulin, Marseille 13385, France. Phone: 33-4-91-32-44-53; Fax: 33-4-91-79-60-63; E-mail: alain.dessein@univmed.fr.
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1INSERM, Unité 906, Marseille, France. 2Faculté de Médecine, Aix-Marseille Université UMR 906, Marseille, France. 3IFR88, Institut de Microbiologie de la Méditerranée, Marseille, France. 4Faculty of Medicine, Department of Medical Microbiology and Parasitology, University of Khartoum, Khartoum, Sudan. 5Assistance Publique, Hôpitaux de Marseille, CHU Timone, Laboratoire de Parasitologie Mycologie, Marseille, France.
Address correspondence to: Alain Dessein, Immunology and Genetics of Parasitic Diseases, INSERM UMR 906, Timone Faculty of Medicine, 27 Blvd. Jean Moulin, Marseille 13385, France. Phone: 33-4-91-32-44-53; Fax: 33-4-91-79-60-63; E-mail: alain.dessein@univmed.fr.
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1INSERM, Unité 906, Marseille, France. 2Faculté de Médecine, Aix-Marseille Université UMR 906, Marseille, France. 3IFR88, Institut de Microbiologie de la Méditerranée, Marseille, France. 4Faculty of Medicine, Department of Medical Microbiology and Parasitology, University of Khartoum, Khartoum, Sudan. 5Assistance Publique, Hôpitaux de Marseille, CHU Timone, Laboratoire de Parasitologie Mycologie, Marseille, France.
Address correspondence to: Alain Dessein, Immunology and Genetics of Parasitic Diseases, INSERM UMR 906, Timone Faculty of Medicine, 27 Blvd. Jean Moulin, Marseille 13385, France. Phone: 33-4-91-32-44-53; Fax: 33-4-91-79-60-63; E-mail: alain.dessein@univmed.fr.
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1INSERM, Unité 906, Marseille, France. 2Faculté de Médecine, Aix-Marseille Université UMR 906, Marseille, France. 3IFR88, Institut de Microbiologie de la Méditerranée, Marseille, France. 4Faculty of Medicine, Department of Medical Microbiology and Parasitology, University of Khartoum, Khartoum, Sudan. 5Assistance Publique, Hôpitaux de Marseille, CHU Timone, Laboratoire de Parasitologie Mycologie, Marseille, France.
Address correspondence to: Alain Dessein, Immunology and Genetics of Parasitic Diseases, INSERM UMR 906, Timone Faculty of Medicine, 27 Blvd. Jean Moulin, Marseille 13385, France. Phone: 33-4-91-32-44-53; Fax: 33-4-91-79-60-63; E-mail: alain.dessein@univmed.fr.
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1INSERM, Unité 906, Marseille, France. 2Faculté de Médecine, Aix-Marseille Université UMR 906, Marseille, France. 3IFR88, Institut de Microbiologie de la Méditerranée, Marseille, France. 4Faculty of Medicine, Department of Medical Microbiology and Parasitology, University of Khartoum, Khartoum, Sudan. 5Assistance Publique, Hôpitaux de Marseille, CHU Timone, Laboratoire de Parasitologie Mycologie, Marseille, France.
Address correspondence to: Alain Dessein, Immunology and Genetics of Parasitic Diseases, INSERM UMR 906, Timone Faculty of Medicine, 27 Blvd. Jean Moulin, Marseille 13385, France. Phone: 33-4-91-32-44-53; Fax: 33-4-91-79-60-63; E-mail: alain.dessein@univmed.fr.
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1INSERM, Unité 906, Marseille, France. 2Faculté de Médecine, Aix-Marseille Université UMR 906, Marseille, France. 3IFR88, Institut de Microbiologie de la Méditerranée, Marseille, France. 4Faculty of Medicine, Department of Medical Microbiology and Parasitology, University of Khartoum, Khartoum, Sudan. 5Assistance Publique, Hôpitaux de Marseille, CHU Timone, Laboratoire de Parasitologie Mycologie, Marseille, France.
Address correspondence to: Alain Dessein, Immunology and Genetics of Parasitic Diseases, INSERM UMR 906, Timone Faculty of Medicine, 27 Blvd. Jean Moulin, Marseille 13385, France. Phone: 33-4-91-32-44-53; Fax: 33-4-91-79-60-63; E-mail: alain.dessein@univmed.fr.
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1INSERM, Unité 906, Marseille, France. 2Faculté de Médecine, Aix-Marseille Université UMR 906, Marseille, France. 3IFR88, Institut de Microbiologie de la Méditerranée, Marseille, France. 4Faculty of Medicine, Department of Medical Microbiology and Parasitology, University of Khartoum, Khartoum, Sudan. 5Assistance Publique, Hôpitaux de Marseille, CHU Timone, Laboratoire de Parasitologie Mycologie, Marseille, France.
Address correspondence to: Alain Dessein, Immunology and Genetics of Parasitic Diseases, INSERM UMR 906, Timone Faculty of Medicine, 27 Blvd. Jean Moulin, Marseille 13385, France. Phone: 33-4-91-32-44-53; Fax: 33-4-91-79-60-63; E-mail: alain.dessein@univmed.fr.
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1INSERM, Unité 906, Marseille, France. 2Faculté de Médecine, Aix-Marseille Université UMR 906, Marseille, France. 3IFR88, Institut de Microbiologie de la Méditerranée, Marseille, France. 4Faculty of Medicine, Department of Medical Microbiology and Parasitology, University of Khartoum, Khartoum, Sudan. 5Assistance Publique, Hôpitaux de Marseille, CHU Timone, Laboratoire de Parasitologie Mycologie, Marseille, France.
Address correspondence to: Alain Dessein, Immunology and Genetics of Parasitic Diseases, INSERM UMR 906, Timone Faculty of Medicine, 27 Blvd. Jean Moulin, Marseille 13385, France. Phone: 33-4-91-32-44-53; Fax: 33-4-91-79-60-63; E-mail: alain.dessein@univmed.fr.
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1INSERM, Unité 906, Marseille, France. 2Faculté de Médecine, Aix-Marseille Université UMR 906, Marseille, France. 3IFR88, Institut de Microbiologie de la Méditerranée, Marseille, France. 4Faculty of Medicine, Department of Medical Microbiology and Parasitology, University of Khartoum, Khartoum, Sudan. 5Assistance Publique, Hôpitaux de Marseille, CHU Timone, Laboratoire de Parasitologie Mycologie, Marseille, France.
Address correspondence to: Alain Dessein, Immunology and Genetics of Parasitic Diseases, INSERM UMR 906, Timone Faculty of Medicine, 27 Blvd. Jean Moulin, Marseille 13385, France. Phone: 33-4-91-32-44-53; Fax: 33-4-91-79-60-63; E-mail: alain.dessein@univmed.fr.
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1INSERM, Unité 906, Marseille, France. 2Faculté de Médecine, Aix-Marseille Université UMR 906, Marseille, France. 3IFR88, Institut de Microbiologie de la Méditerranée, Marseille, France. 4Faculty of Medicine, Department of Medical Microbiology and Parasitology, University of Khartoum, Khartoum, Sudan. 5Assistance Publique, Hôpitaux de Marseille, CHU Timone, Laboratoire de Parasitologie Mycologie, Marseille, France.
Address correspondence to: Alain Dessein, Immunology and Genetics of Parasitic Diseases, INSERM UMR 906, Timone Faculty of Medicine, 27 Blvd. Jean Moulin, Marseille 13385, France. Phone: 33-4-91-32-44-53; Fax: 33-4-91-79-60-63; E-mail: alain.dessein@univmed.fr.
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1INSERM, Unité 906, Marseille, France. 2Faculté de Médecine, Aix-Marseille Université UMR 906, Marseille, France. 3IFR88, Institut de Microbiologie de la Méditerranée, Marseille, France. 4Faculty of Medicine, Department of Medical Microbiology and Parasitology, University of Khartoum, Khartoum, Sudan. 5Assistance Publique, Hôpitaux de Marseille, CHU Timone, Laboratoire de Parasitologie Mycologie, Marseille, France.
Address correspondence to: Alain Dessein, Immunology and Genetics of Parasitic Diseases, INSERM UMR 906, Timone Faculty of Medicine, 27 Blvd. Jean Moulin, Marseille 13385, France. Phone: 33-4-91-32-44-53; Fax: 33-4-91-79-60-63; E-mail: alain.dessein@univmed.fr.
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1INSERM, Unité 906, Marseille, France. 2Faculté de Médecine, Aix-Marseille Université UMR 906, Marseille, France. 3IFR88, Institut de Microbiologie de la Méditerranée, Marseille, France. 4Faculty of Medicine, Department of Medical Microbiology and Parasitology, University of Khartoum, Khartoum, Sudan. 5Assistance Publique, Hôpitaux de Marseille, CHU Timone, Laboratoire de Parasitologie Mycologie, Marseille, France.
Address correspondence to: Alain Dessein, Immunology and Genetics of Parasitic Diseases, INSERM UMR 906, Timone Faculty of Medicine, 27 Blvd. Jean Moulin, Marseille 13385, France. Phone: 33-4-91-32-44-53; Fax: 33-4-91-79-60-63; E-mail: alain.dessein@univmed.fr.
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Published July 13, 2009 - More info
IL-17 and IL-22 have been shown to increase protection against certain bacteria and fungal pathogens in experimental models. However, no human studies have demonstrated a crucial role of IL-17 and IL-22 in protection against infections. We show here that Leishmania donovani, which can cause the lethal visceral disease Kala Azar (KA), stimulates the differentiation of Th17 cells, which produce IL-17, IL-22, and IFN-γ. Analysis of Th1, Th2, and Th17 cytokine responses by cultured PBMCs from individuals in a cohort of subjects who developed KA or were protected against KA during a severe outbreak showed that IL-17 and IL-22 were strongly and independently associated with protection against KA. Our results suggest that, along with Th1 cytokines, IL-17 and IL-22 play complementary roles in human protection against KA, and that a defect in Th17 induction may increase the risk of KA.
Th17 cells are independently regulated CD4+ T cells initially characterized as producing cytokines in the IL-17 family. They are highly proinflammatory and stimulate the production, by endothelial and epithelial cells and monocytes, of cytokines such as IL-6 and TNF and chemokines such as CXCL8 (also known as IL-8), CXCL10 (also known as IP-10), CXCL1, and CXCL6 (1). Th17 cells carry skin and mucosal homing receptors such as CCR6 and CCR4 (2) and recruit neutrophils and monocytes within tissues (3). IL-17 is mostly produced by Th17 and NKT cells (1). IL-22 is also produced by Th17 cells, and to a lesser extent by Th1 and NK cells (1), and is involved in immunity at the epithelium and mucosal surfaces (4). It also promotes the inflammatory response and participates in tissue repair (5, 6). The functional IL-22 receptor is expressed on hepatocytes, keratinocytes, and fibroblasts, but not on hematopoietic cells (4, 7). Both IL-17 and IL-22 have been shown to increase protection against certain bacteria and fungal pathogens in experimental models (2, 3, 8–13). However, this protective role has yet to be confirmed in humans. We show here that Leishmania donovani strongly induces Th17 cell differentiation and that IL-17 and IL-22 are strongly and independently associated with resistance to KA.
L. donovani is a protozoan parasite of macrophages responsible for a lethal visceral disease, kala azar (KA). Infected children die due to the multiplication of L. donovani in the spleen and liver, associated with splenomegaly, pancytopenia, anemia, and disseminated hemorrhages (14). The protective immune mechanisms operating at early stages of skin and liver infection are not well understood. Most subjects recovering from L. donovani infection after drug treatment are protected against repeat infection by Th1-mediated immunity (15). However, one-third of cured patients present subsequent relapses. Neutrophils are a major target of Th17 cells and might be involved in protection against Leishmania infection in mice (16–20). Furthermore, the protection against L. donovani transferred with activated dendritic cells in mice is dependent on IL-6, IL-12p40 (21) (a subunit common to IL-12 and IL-23), and IL-23, which are essential for Th17 cell differentiation and maintenance. The levels of both of these cytokines are also particularly high in humans infected with L. donovani (22, 23). These observations led us to evaluate the possible role of Th17 cells in the protection of humans against KA.
We show here that L. donovani induces production of IL-17 and IL-22 by PBMCs from healthy donors. IL-17 was contributed mostly by Th17 cells. Analysis of IL-17 and IL-22 produced by PBMCs of subjects who were recently cured of KA, had developed KA within a few months of cytokine evaluation, or had resisted KA showed independent and strong associations of IL-17 and IL-22 with resistance to KA. This suggests that IL-17 and IL-22 may play complementary roles with Th1 cytokines in human protection against KA. Furthermore, we report that the low IL-17 and IL-22 responses in KA subjects may be related to a defective response to cytokines that initiate the Th17 response.
L. donovani strongly induces IL-17 and IL-22 in PBMCs from healthy subjects. PBMCs from the blood of healthy donors were cultured with heat-killed L. donovani parasites. Cultures were stimulated with either heat-killed L. donovani or with heat-killed L. donovani opsonized with Ab from asymptomatic subjects from regions of endemic infection. In 8 of 10 experiments, we detected IL-17 and IL-22 after 7 to 15 days of culture (Figure 1A). Heat-killed opsonized parasites induced IL-17 and IL-22 responses more efficiently than did heat-killed parasites. L. donovani extracts boosted a secondary response but could not replace the parasite for primary immunization. IL-17 and IL-22 were produced mostly by CD4+ T cells, as the CD4+ T cells purified from the cultures 5 days after the boost produced large amounts of IL-17 and IL-22 in response to stimulation with concanavalin A, phytohemagglutinin, or ionomycin plus PMA (Figure 1B). Adherent cells produced neither IL-17 nor IL-22 (data not shown). FACS analysis (Figure 1C) showed that stimulation with L. donovani increased the proportion of CD4+IL-17+ cells in cultures by 3- to 70-fold and that 9% to 60% of the induced Th17 cells produced IFN-γ (Table 1).
Induction of IL-17 and IL-22 by L. donovani in cultures of PBMCs from healthy subjects. (A) The production of IL-17 and IL-22 in cultures of PBMCs from healthy donors required priming with whole L. donovani parasites. Boosting was achieved using parasites or parasite extracts. Priming (on day 0; stimulation 1) and boost (on day 7; stimulation 2) were performed with opsonized (OpsLd) or non-opsonized (Ld) heat-killed L. donovani parasites or parasite extracts (Ld-ext). IL-17 and IL-22 were quantified by ELISA on days 7, 11, and 15. Two representative experiments (Exp 1 and Exp 2) from a series of 10 are shown. (B) IL-17 and IL-22 were produced by CD4+ T cells. CD4+ T cells were purified from the 12-day cultures of PBMCs primed and boosted with OpsLd. Purified CD4+ T cells were then stimulated for 48 hours with PMA plus ionomycin, concanavalin A (ConA), or phytohemagglutinin (PHA). IL-17 and IL-22 were quantified by ELISA. Three independent experiments with cells from different donors are shown. (C) Phenotypic characterization of IL-17+CD4+ T cells in cultures of normal PBMCs stimulated with OpsLd. Normal PBMCs were primed and boosted with OpsLd. Five days after the second stimulation, cells were stimulated with PMA plus ionomycin plus monensin for 5 hours. The x axis represents the fluorescence intensity after either CD4 labeling or IFN-γ labeling. The y axis corresponds to IL-17 labeling. Horizontal and vertical bars define the upper fluorescence intensity observed with labeled control cells. The numbers in each quadrant represent the percentage of cells in that quadrant relative to the total number of cells included in the analysis.
Phenotypic characterization of Th17 cells induced by L. donovani in cultures of PBMCs from healthy donors
L. donovani induces IL-6, IL-1β, and IL-23 in cultures. Experimental work with human cells has shown that IL-6, TGF-β, IL-1β, IL-23, and possibly IL-21 induce or maintain Th17 cells (1, 24–26). IL-1β and IL-6 but not IL-23 were detected in L. donovani–stimulated cultures of PBMCs from healthy subjects (Figure 2A). IL-23 was produced, together with IL-6 and IL-1β, by L. donovani–stimulated normal blood monocytes (Figure 2B). TGFB mRNA levels in PBMCs were moderately increased by stimulation with L. donovani (data not shown). IL-21 was not detected in any culture, including those producing large amounts of IL-17.
L. donovani induces the production of cytokines that are required for Th17 induction and maintenance. IL-6, IL-23, and IL-1β production in IL-17– and IL-22–producing cultures of PBMCs (A) and monocytes (B) from healthy blood donors. PBMCs were primed (day 0) and boosted with OpsLd (day 7), as described in the legend of Figure 1. Monocytes were stimulated once with living L. donovani that were opsonized with either HIS or NHS. Cytokine levels were determined at the time points indicated. Results represent the arithmetic means of data from 4 independent experiments with PBMCs and 4 experiments with monocytes. The effects of the stimulation and culture duration were tested by linear regression (P < 0.05 was considered significant). Stimulations had a significant effect on IL-17 (P = 0.003), IL-22 (P = 0.05), IL-6 (P < 0.001), and IL-1β (P < 0.001) in cultures of PBMCs and on IL-23 (P = 0.05), IL-6 (P = 0.02), and IL-1β (P < 0.01) in cultures of monocytes. Culture duration had a significant effect (P < 0.01) in all cultures excepted for IL-1β (PBMCs and monocytes) and IL-23 (monocytes). Data are means ± SEM.
Production of Th1 and Th2 cytokines during a KA outbreak. During a 6-year survey of the population of a Sudanese village, we selected a group (gp1) of 87 resistant subjects who did not develop KA either before or after evaluation of their cytokine response, a group (gp2) of 122 subjects who had developed KA during the 24 months preceding cytokine evaluation, and a group (gp3) of 20 subjects who developed KA within 1 to 6 months of evaluation (Table 2). We evaluated Th1, Th2, and Th17 responses in cultures of PBMCs from these 3 groups of subjects.
We first evaluated the Th1 and Th2 cytokines (Figure 3A), which have been shown to be essential for immunity to leishmaniasis in animals (27). IL-4 was undetectable in most cultures and data for this cytokine are therefore not presented; IL-5 and IL-13 were produced in small amounts in most cultures, whereas the levels of IFN-γ and IL-12p40 (but not IL-12p70) were high in the cultures. Nonparametric tests showed that subjects in gp1 produced more TNF (P < 0.001), slightly more IL-12p40 (P = 0.03), and more IL-10 (P < 0.001) than did subjects in gp2. No significant differences in IL-5 (P = 0.23), IL-13 (P = 0.053), IFN-γ (P = 0.07), and IL-12p70 (P = 0.11) levels were observed between gp1 and gp2. Multivariate analysis was carried out because correlations between cytokine levels, age, and sex might have confounded the analysis. Analysis I (Table 3) indicated that TNF levels were higher in gp1 cultures (P = 0.003; odds ratio [OR] = 0.23, CI 0.09–0.60), whereas the highest IFN-γ levels were observed in gp2 cultures (P = 0.016; OR = 3, CI 1.22–7.40). Age was a significant confounding variable (P < 0.001), whereas sex was not.
Resistance to KA is associated with enhanced IL-17 and IL-22 responses. (A) IL-17, IL-22, and Th1 and Th2 cytokine production by PBMCs from gp1, gp2, and gp3 subjects. Cytokines were quantified by ELISA in supernatants of PBMCs stimulated with 10 μg/ml of L. donovani extracts, as indicated in the Methods. IL-4 was undetectable or present in small amounts in all cultures. The data presented are the arithmetic means ± SEM. Cytokine scales (y axes) were set to allow for a 5-fold increase in the mean levels above those of the group with the lowest levels to be represented. (B) Resistance to KA was associated with high levels of both IL-22 and IL-17, whereas KA was associated with low levels of these cytokines. IL-17 and IL-22 levels were each assigned to 3 classes of equal size. The 3 classes for IL-17 were ≤15, 16–120, and 121–1,250 pg/ml. The 3 classes for IL-22 were <190, 190–890, and 900-40,000 pg/ml. Dark bars represent subjects with the lowest IL-17 and IL-22 levels. Data analysis is presented in Table 3.
We also compared cytokine levels in cultures of cells from gp1 with those in cultures of cells from gp3. Univariate analysis showed that the subjects in gp3 produced less TNF (P = 0.05) and less IFN-γ (P = 0.03) than did subjects in gp1. However, multivariate analysis revealed no significant associations.
IL-17 and IL-22 are the cytokines most strongly associated with protection against KA. IL-17 was detectable in 80% of cultures of cells from gp1 subjects, compared with only 30% of cell cultures from gp2 subjects. IL-17 (P < 0.001) and IL-22 (P < 0.001) levels were higher in cultures of cells from gp1 subjects than in cultures of cells from gp2 subjects (Figure 3A). Furthermore, among the IL-17–positive cultures from gp1 and gp2 subjects, IL-17 levels were higher for subjects in gp1 (P < 0.001) than for subjects in gp2. Almost all cultures produced detectable amounts of IL-22. We carried out a logistic regression analysis to assess the relationship between IL-17 production and the risk of KA. We included IL-17, Th1 cytokines, Th2 cytokines, age, and sex as covariates. The best model for distinguishing between gp1 and gp2 included only IL-17 and age (analysis IIa; Table 3). IL-17 was strongly associated with protection (P < 0.001; OR = 0.05, CI 0.12–0.21). The risk of past KA in subjects producing low levels of IL-17 was 20-fold higher than that in subjects producing high levels of IL-17.
We then assessed the relationship between IL-22 and the risk of KA in the presence of Th1 and Th2 cytokines, age, and gender. The best model indicated that IL-22 was also significantly associated with resistance to KA. Subjects in the third upper quartile for IL-22 levels were less likely (P < 0.001; OR = 0.19, CI 0.08–0.43) to have presented KA. In this model (analysis IIb, Table 3), IFN-γ was higher in subjects who had KA (P = 0.003; OR = 4.70, CI 4.73–13.10), whereas TNF was lower in the cultures of these subjects as compared with cultures of resistant individuals (P = 0.01; OR = 0.27, CI 0.10–0.75).
These results are illustrated in Figure 3B, which shows the numbers of resistant subjects and subjects with KA in each IL-17 and IL-22 class. The proportion of resistant subjects was highest in the classes with the highest levels of IL-17 and IL-22. Conversely, the proportion of subjects with KA increased with decreasing IL-17 and IL-22 levels. We investigated the possibility that this result indicated independent contributions of IL-17 and IL-22 to protection rather than a simple correlation between the levels of these 2 cytokines, by carrying out a regression analysis that included both cytokines and age. IL-17 (P < 0.001) and IL-22 (P = 0.01) were independently associated with resistance (analysis III, Table 3). An increase of 1,000 pg/ml in IL-22 concentration was associated with a 0.66-fold (CI 0.47–0.91) decrease in the risk of KA, whereas an increase of 100 pg/ml IL-17 concentration was associated with a 0.34-fold (CI 0.22–0.52) decrease in the risk of KA. IL-22 and IL-17 levels in cultures varied from 15 to 10,000 pg/ml and from 15 to 1,000 pg/ml, respectively.
A weak IL-17 response was predictive of KA. The defect in IL-17 and IL-22 in gp2 may be secondary to multiple changes in the immune cytokine network that could have been activated in patients with KA and persisted after clinical cure. We also evaluated IL-17 and IL-22 production in cultures of PBMCs from gp3 subjects. These patients produced significantly less IL-17 than did gp1 subjects (P = 0.009), as shown by logistic regression analysis (analysis IV in Table 3). The production of small amounts of IL-17 in culture was associated with a 13-fold increase (OR = 0.084, CI 0.013–0.54) in the risk of KA within 6 months of cytokine evaluation. Once again, IL-17 had the most significant effect, excluding all the Th1 and Th2 cytokines tested from the regression model. We also assessed the effect of IL-22 in the presence of IL-17. We found that both high IL-17 (P = 0.01; OR = 0.32, CI 0.13–0.77) and high IL-22 (P = 0.044; OR = 0.61, CI 0.38–0.98) levels were associated with a decrease in the risk of KA (analysis V in Table 3). The ORs obtained were similar to those obtained for comparisons of the cytokine responses of gp1 and gp2 subjects.
Defective response to Th17 regulatory cytokines in subjects with KA. Because IL-1β, IL-6, IL-21, and IL-23 are required for the induction and/or maintenance of the Th17 response (1, 24), we evaluated the levels of these cytokines in cultures of cells from the subjects studied (Figure 4). IL-21 was undetectable in all cultures, whereas IL-6 (P < 0.001) and IL-1β (P < 0.001) levels were significantly higher in cultures of cells from gp1 subjects than in cultures of cells from gp2 subjects. No significant differences in IL-23 levels were observed in between study groups (Figure 4A).
IL-23, IL-6, and IL-1β production in cultures of PBMCs from subjects from the 3 clinical groups. (A) IL-6 and IL-1β levels were higher in cultures of PBMCs from gp1 subjects than in those of cells from gp2 subjects, whereas no difference was observed for IL-23. Cultures were stimulated as described in Figure 2A. (B) PBMCs from KA subjects produced small amounts of IL-17 and IL-22, even in the presence of normal to high levels of the regulatory cytokines IL-6, IL-1β, and IL-23. IL-23, IL-6, and IL-1β levels in cultures (from gp1 and gp2) were assigned to 3 classes of equal size, and IL-17 and IL-22 levels are presented for each cytokine class. A nonparametric Kruskal-Wallis test showed a significant increase of IL-17 (P < 0.03) in increasing IL-23, IL-6, and IL-1β classes in cultures of PBMCs from resistant subjects. No significant increase of IL-17 was observed with increasing concentrations of IL-6 and IL-1β in cultures of PBMCs from gp2 subjects, whereas IL-17 did increase (P < 0.001) with increasing IL-23 concentrations in the same cultures. IL-22 increased (P < 0.05) with increasing IL-23, IL-6, and IL-1β concentrations in cultures of PBMCs from gp1 and gp2 subjects. The data presented are the arithmetic means ± SEM.
We then tried to determine which of these 3 cytokines was the most strongly associated with IL-17 and IL-22 levels. We found that IL-23 was the most strongly associated with IL-17 (P < 0.001; OR = 5.2, CI 2.3–11.7) and excluded IL-1β and IL-6 from the regression model. A similar analysis for IL-22 showed that IL-22 production was more closely associated with IL-6 (P < 0.001; OR = 1.13, CI 1.31–1.52). These results suggested that differences in IL-23 and IL-6 levels may determine IL-17 and IL-22 levels. We then plotted IL-17 and IL-22 levels as a function of IL-23, IL-6, and IL-1β levels in cultures, assuming a similar relationship between the levels of IL-17 or IL-22 and regulatory cytokines in gp1 subjects and gp2 subjects (Figure 4B). Surprisingly, cultured cells from gp2 subjects produced much lower levels of IL-17 for the same amounts of the 3 regulatory cytokines. Cultures of cells from gp1 subjects showed a clear correlation of IL-17 concentration with the concentration of all 3 regulatory cytokines. In contrast, we did not observe such a correlation between IL-17 levels and IL-1β and IL-6 in gp2 cultures. This suggests that a defect in the Th17 differentiation pathway may affect the response to these 2 cytokines in subjects susceptible to KA. The picture was less clear in a similar analysis for IL-22: the IL-22 response increased with IL-23 and IL-6 concentrations. However, this increase was less marked in gp2 subjects than in gp1 subjects.
Our studies with PBMCs from healthy individuals and from subjects exposed to L. donovani showed that Leishmania strongly induced IL-17 and IL-22. This conclusion was further supported by the presence in L. donovani–stimulated cultures of IL-1β, IL-23, and IL-6, the key cytokines for the induction and maintenance of the Th17 response (1, 24, 26, 28, 29). No IL-21 was detected, consistent with other reports suggesting that IL-21 may be dispensable for human Th17 induction (30, 31). The heat-killed or parasite extracts used to induce cytokine responses in PBMCs is mostly confined to promastigotes. The stimulation of monocyte cultures from healthy patients with either L. donovani extract or living parasites that progressed to the amastigote stage yielded similar results. IL-17 was produced in cultures of PBMCs from healthy donors by Th17 and Th1/17 cells, as has also been reported in other human studies (32). We cannot exclude that IL-17 may also be produced by NKT cells (1, 33) and γ/δ T cells (1, 4, 34), and IL-22 may also be secreted by Th1 and NK cells (1, 7). It has been discussed that Th1/17 may represent an intermediate stage of differentiation between Th17 and Th1 cells driven by IL-12 (32). human Th17 and human Th1/17 cells transcribe the genes encoding Tbet and RORγ(t) (32, 35), the master regulators of Th1 and Th17 differentiation, respectively.
The lower production of IL-17 and IL-22 in gp2 subjects might have resulted from alterations of the cytokine network that had occurred during the infection and persisted after clinical cure. To rule out this possibility, we also evaluated IL-17 and IL-22 in gp3 subjects. The comparison of gp1 and gp3 showed that low IL-17 and IL-22 were predictive of KA.
IL-17 and IL-22 may contribute to protective immunity to L. donovani in several ways. The insect vector injects Leishmania into human skin and the parasite then migrates to the liver, where it multiplies (14). Work in infected animals suggests that neutrophils could be involved in controlling the early stages of Leishmania infection (16–20) and massively infiltrate the skin and liver granulomas that form around Leishmania at early stages of infection. These results have not, however, been confirmed in all studies. The L. donovani granuloma likely contain IL-17– and IL-22–producing T cells because Th17 cells, even after prolonged antigen exposure, carry the skin and mucosal tissue homing receptors CCR6 and CCR4 (2, 36). IL-17 stimulates the production of CSF (GM-CSF and G-CSF), which increases the production of neutrophils, monocytes, and CXCL chemokines such as CXCL8 (IL-8), CXCL1, and CXCL6 (GCP2), which serve as potent chemoattractants for neutrophils or CXCL10 (IP10), which acts as a chemoattractant for Th1 cells (1, 7). IL-17 also increases the production of IL-6, which has proinflammatory and regulatory effects on the immune response (1). IL-22 increases the production of proinflammatory molecules, such as the S-100A proteins and CXCL5 (6). IL-17 and IL-22 synergistically increase the production of antimicrobial peptides, such as β-defensins, by epithelial cells (37). Finally, IL-22 is involved in epithelial repair (6) and liver protection (38) in chronic infections. Both the increases in epithelial protective barrier function and the recruitment of inflammatory cells, including neutrophils, to the skin and liver, could contribute to protection against L. donovani. Work in animals infected with other pathogens has provided support for the view that Th17 cells, IL-17, and IL-22 may be essential for immunity to certain infections (2, 3, 9–13). In these experimental models, neutrophils are important, both as effectors and as modulators of the immune response via secreted molecules such as IL-12. Large numbers of Th17 cells were shown to infiltrate Mycobacterium tuberculosis granuloma in vaccinated mice (3), the mucosal sites of Klebsiella pneumoniae infection in the lung (39, 40), and the colon of Citrobacter rodentium–infected mice (41). IL-23 and IL-17 are essential for the expression of full immunity in these experimental models (3, 39, 41). Finally, Th17 may bridge the gap between innate and adaptive immunity. Th17 cells are required for a recall response of mice vaccinated with M. tuberculosis antigen, as they promote the recruitment of Th1 in the lungs by stimulating the release of mediators such as CXCL10 (3). Th17 cells could play the same role in L. donovani infections. Naturally resistant subjects with enhanced IL-17 and IL-22 responses would thus react more rapidly to L. donovani, attracting strong effectors of innate immunity and recruiting Th1 cells to tissues. These cells would in turn enhance the microbicidal activity of phagocytes. Thus, Th17 and Th1 cells may play complementary roles in protection against L. donovani, with both being required for complete protection. In this association between Th1 and Th17 responses, Th1 cells may play the important role of downregulating the Th17 response after the infection is controlled, thereby preventing tissue damage resulting from the out-of-control expansion of the Th17 cell population.
We explored the mechanisms that may have accounted for the weak IL-22 and IL-17 responses in KA subjects. The IL-22 response induced by L. donovani in our cultures was more dependent on IL-6 than on IL-23, and conversely the IL-17 response was more dependent on IL-23 than on IL-6. Other studies have reported different cytokine requirements for IL-22 and IL-17 production, with IL-22 production dependent on IL-6 but not on TGF-β, and with IL-17 production dependent on TGF-β and IL-6 (42). IL-23 is required to maintain the Th17 response (26, 43). The lower level of production of IL-6 and IL-23 in cultures from subjects with KA may have contributed to the weaker IL-17 and IL-22 responses of these subjects. Nevertheless, IL-6 is also produced by Th17 cells (1), and lower levels of IL-6 production in cultures may be a consequence rather than a cause of the smaller number of Th17 cells. Furthermore, although certain cultures of cells from subjects with KA displayed high levels of IL-6, IL-1β, and IL-23 production, IL-17 levels remained low, suggesting a poor T cell response from KA subjects to IL-6 and IL-1β. This defective response to regulatory cytokines was more marked with IL-17 than with IL-22, probably because IL-22 was also produced by Th1 cells (7). Our observations suggest a defect rendering T cells less responsive to key regulators, such as IL-1β and IL-6, that are crucial for Th17 induction.
In conclusion, we show here that L. donovani strongly induces IL-17 and IL-22 responses. We have presented evidence that IL-17 and IL-22 play complementary roles in natural protection against L. donovani. This view is consistent with the effects of Th17 on monocytes and neutrophils and the ability of Th17 to recruit Th1 cells to the granuloma. In addition, IL-22 and IL-17 promote tissue repair and strengthen epithelial barriers, thereby contributing to immunosurveillance. Our work also provides new insight into possible alterations to the immune defenses of subjects with KA. These findings should stimulate the development of new strategies for preventing this severe and devastating parasitic disease responsible for the deaths of large numbers of people in countries in which it is endemic.
Study groups. The study groups (Table 2) were recruited from subjects living in Barbar el Fugarra in the eastern part of Sudan (44, 45), where we carried out a 6-year longitudinal study on 1,600 subjects during a severe outbreak of KA caused by L. donovani. Serological and clinical evaluations were carried out at 16-month intervals. Serological evaluation was performed by ELISA and Western blotting (recognition of the 14- to 16-kDa Leishmania-specific band). About one-third of the villagers had parasites in lymph nodes and clinical symptoms of KA and had been treated with meglumine antimoniate (Glucantime) or sodium stibogluconate (Pentostam). Cytokine production was assessed in 229 selected subjects at the peak of the outbreak; 107 of these subjects had not presented clinical KA but were seropositive (positive by ELISA and Western blot analysis) and produced IFN-γ in 120-hour PBMC cultures stimulated with L. donovani extracts. Eighty-seven of these 107 seropositive IFN-γ+ subjects did not develop KA at any time during the 6 years of the study (which continued for 2 years after cytokine evaluation). These patients were classified as resistant (gp1). Twenty of the 107 seropositive IFN-γ+ subjects presented KA within 6 months of cytokine evaluation (gp3). The remaining 122 subjects had developed KA in the 2 years before the evaluation (gp2). These 122 subjects had been treated with drugs and successfully cured 6 to 24 months before the cytokine study.
The study was approved by the ethics committee of the University of Khartoum Faculty of Medicine. Informed consent was obtained from all patients. The study was also approved by the village committee.
Preparation of L. donovani antigens. The L. donovani strain MHOM/SD/98/LEM 3566 was isolated from a patient with KA in the village (46) and maintained in promastigote form by in vitro culture at 24°C in RPMI-1640 medium (Invitrogen) supplemented with 10% FBS (Cambrex). Soluble L. donovani antigens were prepared as described elsewhere (47).
Parasite opsonization. Serum samples from healthy white donors from the blood bank in Marseille (Etablissement Français du Sang) (normal human serum [NHS]) and pools of human immune serum (HIS) from subjects living in Barbar were heated at 56°C for 45 minutes and centrifuged (12,000 g, 10 minutes). Promastigotes (5 × 107/ml) were incubated with 10% NHS or HIS for 90 minutes at 4°C. The parasites were then killed by heating at 50°C for 3 minutes, washed 3 times in cold culture medium and added to the cultures. The parasites that reacted with HIS and NHS will be referred to hereafter as “OpsLd” and “NHSLd,” respectively.
Cell purification and cell cultures. PBMCs were separated from blood from the Marseille blood bank (Etablissement Français du Sang) or from Sudanese patients, as indicated in the Figure 3 legend (47). PBMCs from KA patients (2 × 106 cell/ml) were stimulated with 10 μg/ml of L. donovani antigens (referred to as “Ld-ext”). PBMCs from healthy donors were stimulated with 106 OpsLd or with 10 μg/ml Ld-ext and again on day 7 with the same stimulations. Monocytes and CD4+ T cells were purified (>98%) by magnetic cell sorting (Miltenyi Biotec) from PBMC cultures. Monocytes (8 × 105 cells/500 μl), purified on day 0 from PBMC cultures, were stimulated with 106 OpsLd or NHSLd. CD4+ T cells (2 × 105 cells/200 μl), purified on day 15 from PBMC cultures, were stimulated with PMA (100 ng/ml) plus ionomycin (1 μg/ml), concanavalin A (5 μg/ml), or phytohemagglutinin (5 μg/ml) (Sigma-Aldrich). Resting cells were used as controls.
Intracellular cytokine staining. Cells were stained for surface markers with PE-Cy7–conjugated anti-CD4 (eBiosciences) antibodies. The labeled cells were pulsed with 100 ng/ml PMA, 1 μg/ml ionomycin and monensin (BD GolgiStop) for 5 hours. Cells were then fixed and permeabilized with BD Cytofix/Cytoperm according to the manufacturer’s instructions and incubated with Alexa Fluor 647–conjugated anti–IL-17 and PE-conjugated anti–IFN-γ (eBiosciences) antibodies. Isotype controls were obtained from the corresponding manufacturers. Data were analyzed on a FACSCalibur flow cytometer, using CellQuest software (BD Biosciences).
Cytokine titration. Cytokines in the supernatants of cultures were assayed with ELISA kits according to the manufacturer’s instructions. In cultures from endemic subjects, IL-6 (Diaclone), IL-17A (R&D Systems), IL-22 (R&D Systems), IL-21 (eBiosciences), IL-5 (BD Biosciences), and IFN-γ (BD Biosciences) levels were measured at 120 hours. IL-1β (R&D Systems), IL-4 (Abcys), IL-23 (eBioscience), IL-12p40 (BD Biosciences), IL-13 (Diaclone), and IL-10 (BD Biosciences) and TNF (BD Biosciences) were quantified at 48 hours. The supernatants of PBMCs, CD4+ T cells, or monocytes obtained from healthy subjects were collected at the times indicated in the figures. The lower limits of detection for the ELISA analyses were as follows: 0.78 pg/ml for IL-13; 1.56 pg/ml for IL-6; 1.9 pg/ml for IL-1β; 5 pg/ml for IFN-γ; 7.8 pg/ml for IL-23, IL-4, TNF, and IL-10; 15 pg/ml for IL-12p40, IL-17A, and IL-22; and 32.5 pg/ml for IL-21.
Statistics. The statistical methods that were used are indicated in the tables and figures. Univariate comparisons were carried out using nonparametric tests (Mann-Whitney tests). P < 0.01 was considered as indicating a significant association and P < 0.05 a suggestive association. The association of cytokines with the risk of KA was also evaluated by logistic regression using clinical binary traits (resistant versus previous KA; resistant versus subsequent KA). The covariates were age, sex, and cytokines. Cytokines were assigned to 3 classes (1, 2, and 3) of equal size and treated as binary variables (1 versus 2 + 3, and 1 + 2 versus 3). The cytokine levels defining the classes significantly associated with the phenotype in the regression analysis are indicated in the Table 3 legend. When IL-17 and IL-22 were tested jointly in the model, they were entered as linear variables, making it possible to account for the correlation between the levels of these 2 cytokines. Linear regression was used to evaluate the associations between regulatory cytokines (IL-6, IL-23, and IL-1β) and IL-17 or IL-22 levels.
Results are presented as ORs and CIs, which provide an accurate estimate of the relative risk.
This work was funded by grants from INSERM and the French Ministry of Research. M.G.R. Pitta received a scholarship from the CAPES Foundation, the Ministry of Education, Brazil. A. Romano was funded by a scholarship from the French Ministry of Research.
Address correspondence to: Alain Dessein, Immunology and Genetics of Parasitic Diseases, INSERM UMR 906, Timone Faculty of Medicine, 27 Blvd. Jean Moulin, Marseille 13385, France. Phone: 33-4-91-32-44-53; Fax: 33-4-91-79-60-63; E-mail: alain.dessein@univmed.fr.
Conflict of interest: The authors have declared that no conflict of interest exists.
Nonstandard abbreviations used: KA, kala azar; OR, odds ratio.
Reference information: J. Clin. Invest.119:2379–2387 (2009). doi:10.1172/JCI38813