Abstract
We examined the expression and influence of IL-10 during influenza infection. We found that IL-10 does not impact sublethal infection, heterosubtypic immunity, or the maintenance of long-lived influenza Ag depots. However, IL-10-deficient mice display dramatically increased survival compared with wild-type mice when challenged with lethal doses of virus, correlating with increased expression of several Th17-associated cytokines in the lungs of IL-10-deficient mice during the peak of infection, but not with unchecked inflammation or with increased cellular responses. Foxp3− CD4 T cell effectors at the site of infection represent the most abundant source of IL-10 in wild-type mice during high-dose influenza infection, and the majority of these cells coproduce IFN-γ. Finally, compared with predominant Th1 responses in wild-type mice, virus-specific T cell responses in the absence of IL-10 display a strong Th17 component in addition to a strong Th1 response and we show that Th17-polarized CD4 T cell effectors can protect naive mice against an otherwise lethal influenza challenge and utilize unique mechanisms to do so. Our results show that IL-10 expression inhibits development of Th17 responses during influenza infection and that this is correlated with compromised protection during high-dose primary, but not secondary, challenge.
Interleulin-10 was initially described as a Th2-associated factor involved in regulating proinflammatory signals generated by APC populations, thereby inhibiting Th1 responses (1). It is now known that IL-10 is a complex anti-inflammatory cytokine produced by several different cell types (2). Given this more complete understanding, the impact of IL-10 production has been investigated in several mouse models of human disease. These studies have revealed important but varied impacts of IL-10 expression (3).
Studies using Toxoplasma, Trypanosome, Plasmodium, and Listeria infection models highlight a crucial role for IL-10 in limiting pathology caused by otherwise unchecked T cell responses (4, 5, 6, 7, 8, 9). These results are similar to observations of naturally occurring enterocolitis in IL-10-deficient (IL-10 knockout (KO)4) mice caused by uncontrolled T cell responses directed against gut flora (10, 11). Limiting immunopathology associated with strong immune responses thus represents a central regulatory role of IL-10. Recent observations have established that an important source of IL-10 during such responses are CD4 T cells capable of coproducing IFN-γ and IL-10 (12, 13) or a distinct population of induced Ag-specific regulatory CD4 T cells (Tr1) producing mainly IL-10 (14). However, although IL-10 can act to limit collateral damage, its expression can have the concomitant effect of dampening inflammation and lessening the effectiveness of strong Th1-polarized immunity. For example, eliminating IL-10 signaling by using blocking Abs or IL-10 KO mice can increase resistance in mycobacterial (15, 16, 17) and bacterial (18, 19, 20) challenge models. A detrimental impact of IL-10 in immunity against hepatitis B and C viruses and HIV has also been proposed based on human studies (21).
Recent observations have also defined a profound role for IL-10 in allowing persistent infection. Both in Leishmania (22) and lymphocytic choriomeningitis virus (LCMV) (23, 24) models, blocking IL-10R-dependent signaling can lead to increased T cell responses and the effective clearance of otherwise chronic infections. Although sterilizing immunity after Leishmania infection is associated with loss of long-term protective memory (25), memory responses against LCMV remain intact following IL-10R blockade. IL-10, however, plays a strong role in promoting protective Listeria-specific memory CD8 T cells (26).
Production of IL-10 has been described following infection with influenza (flu) virus (27, 28, 29, 30), but little is known regarding the impact of IL-10 on the outcome of primary or secondary flu responses. In addition, we have demonstrated the existence of long-lived depots of flu Ag, detectable several weeks after the resolution of primary infection (31). It is unknown whether the presence of Ag in this case reflects an extremely low level of chronic infection, which might be limited to a replicative niche in part defined by IL-10 expression as has been described for LCMV or Leishmania, or whether instead sterilizing immunity prevails but Ag persists.
In this study, we investigate multiple parameters of the anti-flu response in wild-type (WT) and IL-10 KO mice. We found that following low-dose infection, WT and IL-10 KO mice respond similarly in terms of weight loss, subsequent recovery, and viral clearance. IL-10 does not impact presentation of long-lived flu Ag, detectable by CFSE dilution of a reporter population of naive A/Puerto Rico/8/34 (A/PR8)-specific TCR-transgenic (Tg) CD4 T cells transferred several weeks following primary infection. IL-10 also does not impact protective heterosubtypic immunity.
However, following high-dose challenge, IL-10 KO mice display a significant survival advantage compared with WT mice and we show that administration of IL-10R-blocking Abs to WT mice results in a similar survival advantage. We found that highly activated virus-specific Foxp3− CD4 T cell effectors, present in the lung during the peak of the anti-flu response and capable of coproducing IFN-γ, are the major source of IL-10 during flu infection. Most strikingly, we report that flu-specific T cell responses develop a stronger Th17 component in the absence of IL-10 and that well-polarized in vitro-generated Th17 effector CD4 T cells can protect otherwise naive mice against lethal flu challenge via unique mechanisms independent of helper function, perforin-mediated cytotoxicity, IFN-γ, and IL-17A. Our results thus show that production of IL-10 is detrimental during high-dose primary influenza challenge and, furthermore, show an unexpected protective role for virus-specific Th17 responses.
Materials and Methods
Mice
BALB/c, BALB/c IL-10 KO, or C57BL/6.Foxp3.GFP mice were at least 8 wk old at the time of infection. Naive CD4 T cells were obtained from 5- to 8-wk-old HNT.Thy1.1, HNT IL-10 KO, or HNT IFN-γ/perforin KO mice on a BALB/c background. HNT mice express a TCR (Vα15, Vβ8.3) recognizing aa 126–138 (HNTNGVTAACHSE) of A/PR8 hemagglutinin presented on I-Ad (32). All mice were obtained from the animal breeding facility at the Trudeau Institute. Experimental animal procedures were conducted in accordance with the Trudeau Institute Animal Care and Use Committee guidelines.
Naive CD4 T cell isolation, effector and memory CD4 T cell generation, cell transfer, and Ab administration
Naive CD4 T cells were obtained from pooled spleen and lymph nodes as previously described (33). Resulting TCR Tg cells were routinely >97% HNT TCR+ and expressed a characteristic naive phenotype (small size, CD62LhighCD44lowCD25low). In some experiments, CD4 T cells were CFSE labeled as previously described (34).
Th1-polarized effectors were generated as previously described (35). Th17-polarized effectors were generated by culturing HNT cells and APC (both at 2 × 105/ml) for 4 days with peptide and IL-2, as previously described (35), IL-6 (20 ng/ml), IL-21 (50 ng/ml), IL-23 (25 ng/ml), TNF (10 ng/ml), IL-1β (10 ng/ml), TGF-β (0.5 ng/ml), anti-IL-4 (11B11; 2 μg/ml), and anti-IFN-γ (XMG1.2; 2 μg/ml).
In vitro-generated memory cells were obtained by thoroughly washing Th1 effectors and reculturing them in fresh medium for 3 days in the absence of Ag and cytokine as described previously (35). Naive or memory cells were adoptively transferred in 200 μl of PBS by i.v. injection.
Virus stocks and infections
Influenza A/PR8 (H1N1) virus was produced in the allantoic cavity of embryonated hen eggs from stock originating at St. Jude Children’s Hospital and the egg infective dose (EID50) was characterized. Influenza A/Philippines/2/82/x-79 (H3N2) virus was similarly prepared and characterized from a stock originating from S. Epstein (National Institutes of Health, Bethesda, MD). Mice were infected intranasally under light isoflurane anesthesia (Webster Veterinary Supply) with stated doses of virus in 50 μl of PBS.
Real-time-PCR
Viral titers were determined by quantitation of viral RNA. RNA was prepared from whole lung homogenates using TRIzol (Sigma-Aldrich) and 2.5 μg of RNA was reverse transcribed into cDNA using random hexamer primers and Superscript II Reverse Transcriptase (Invitrogen). Quantitative PCR was performed to amplify the polymerase (PA) gene of A/PR8 using an Applied Biosystems Prism 7700 Sequence Detector with 50 ng of cDNA per reaction and the following primers and probe: forward primer, 5′-CGGTCCAAATTCCTGCTGA-3′; reverse primer, 5′-CATTGGGTTCCTTCCATCCA-3′; and probe, 5′-6-FAM-CCAAGTCATGAAGGAGAGGGAATACCGCT-3′. Data were analyzed with Sequence Detector version 1.7a (Applied Biosystems). The copy number of the PA gene per 50 ng of cDNA was calculated using a PA-containing plasmid of known concentration as a standard.
Alternatively, RNA samples were reverse-transcribed and cDNA was amplified with TaqMan reagents on the Applied Biosystems Prism 7700 sequence detection system. The fold increase in signal relative to that of uninfected samples was determined with the DeltaDeltaCT (change in cycling threshold) calculation recommended by Applied Biosystems.
Cytokine quantification
Levels of cytokine in lung homogenates and culture supernatant were determined using mouse Luminex kits (Invitrogen and Millipore) read on a Luminex 100 reader.
Tissue preparation
At different time points after virus infection, mice were euthanized by cervical dislocation followed by exsanguination by perforation of the abdominal aorta. Lungs were perfused by injecting 10 ml of PBS in the left ventricle of the heart. Lungs, spleen, and draining mediastinal lymph nodes (dLN) were prepared into single-cell suspensions by mechanical disruption of organs and passage through a nylon membrane.
For assessment of immunopathology following flu infection, lung lobes were isolated and immediately fixed in 10% neutral-buffered formalin. Lung samples were subsequently processed, embedded in paraffin, sectioned, placed on l-lysine-coated slides, and stained with H&E using standard histological techniques. Sections were graded blindly from 0 to 4 on the basis of the extent of mononuclear cell infiltration and tissue damage as depicted in supplemental Fig. 3.5
Flow cytometry
Cell suspensions were washed, resuspended in FACS buffer (PBS plus 0.5% BSA and 0.02% sodium azide (NaN3; Sigma-Aldrich) and incubated on ice with 1 μg of anti-FcR (2.4G2) followed by saturating concentrations of fluorochrome-labeled Abs for surface staining. For intracellular cytokine analysis, see below. Foxp3 expression was determined by intracellular staining as per the manufacturer’s instructions using a Foxp3 staining kit (eBioscience). FACS analysis was performed using a BD Biosciences FACScan and FlowJo (Tree Star) analysis software.
Detection of cytokine-producing cells
Intracellular cytokine staining was performed as previously described (33). Briefly, CD4 T cells were stimulated for 16 h with HNT-pulsed APC. After 2 h, 10 μg/ml brefeldin A (Sigma-Aldrich) was added. Alternatively, cells were treated with PMA and Ionomycin for 4 h, with brefeldin A added after 2 h. Cells were then surface stained and fixed for 20 min in 4% paraformaldehyde. After washing, cells were permeabilized by a 10-min incubation in 0.1% saponin buffer (PBS plus 1% FBS, 0.1% NaN3, and 0.1% saponin; Sigma-Aldrich) and stained for cytokine by the addition of anti-IFN-γ, anti-IL-10, and anti-IL-17, and granzyme B fluorescently labeled Ab for 20 min.
5 lung, 106 spleen or lymph node cells, 106 irradiated (1500 rad) syngeneic APC per well, and 10 μg/ml relevant peptide were added. Plates were incubated overnight at 37°C in 5% CO2 2O, NBT/5-bromo-4-chloro-3-indolyl phosphate, toluidine salt stock solution (Sigma-Aldrich) was added and the reaction was stopped with dH2O. Spots were enumerated with an Immunospot reader (Cellular Technology).
Detection of flu-specific Ab and Ab-secreting cells
The level of flu-specific total IgG and hemagglutination inhibition titer in convalescent sera, and the number of flu-specific Ab-secreting cells on day 21 after infection was determined as described previously (36, 37).
Measurement of respiratory mechanics
Noninvasive whole-body plethsymography (Buxco) was used to measure respiratory rates (breaths/min.) and minute volumes (ml/min.) on conscious, unrestrained animals following flu infection. The minute volume is defined as the volume of air exchanged during a 1-min. interval and is calculated as follows: [respiratory rate × tidal volume].
Statistical analysis
Unpaired, two-tailed, Student’s t tests, ∝ = 0.05, were used to assess whether the means of two normally distributed groups differed significantly. One-way ANOVA analysis with Bonferroni’s multiple comparison post test was used to compare multiple means. Two-way ANOVA analysis with repeated measures was also used in some experiments. The log rank test was used to test for significant differences in Kaplan-Meier survival curves. All error bars represent the SD.
Results
Minimal impact of IL-10 on low-dose flu infection and long-lived flu Ag
To assess the impact of IL-10 expression during primary flu infection, we first challenged naive aged-matched WT or IL-10 KO BALB/c mice with a low dose (0.1 LD50 or 500 EID50) of A/PR8. We observed no significant differences in weight loss or subsequent weight gain, correlating with similar kinetics of viral clearance (supplemental Fig. 1, A and B). We also observed no differences in titer, isotype spread, or hemagglutination inhibition activity of flu-specific Abs when convalescent serum or Ab-secreting cells from WT and IL-10 KO mice were analyzed (supplemental Fig. 1, C–E), consistent with a minimal role for IL-10 in directing murine B cell responses (2).
Because mice can completely clear otherwise chronic LCMV infection in the absence of IL-10 signaling (23, 24), we reasoned that IL-10 might impact long-lived presentation of flu Ag if it were dependent on live virus. To test this hypothesis, we used a sensitive readout of flu Ag presentation following the resolution of primary infection (31, 38). Naive CFSE-labeled TCR Tg CD4 T cells specific for an epitope of the A/PR8 hemagglutinin (HNT) were transferred to Thy-disparate WT or IL-10 KO mice that had been infected with A/PR8 at 2, 3, or 4 wk previously. CFSE profiles of HNT cells in both hosts were similar when analyzed 7 days after transfer and the level of division declined similarly as cells were transferred at later time points (supplemental Fig. 2). These results show that IL-10 does not impact the generation or maintenance of long-lived flu Ag depots following primary infection.
IL-10 negatively impacts high-dose flu challenge
We next sought to determine whether higher doses of virus, against which stronger immune responses might be required to control infection, but which might also cause more immunopathology, would reveal an impact of IL-10, either positive, by controlling immunopathology, or negative, by interfering with T cell responses. Upon challenge with 1 LD50 A/PR8 (10,000 EID50), IL-10 KO mice displayed similar patterns of weight loss and weight gain, but survival was significantly enhanced compared with WT mice (Fig. 1⇓A). IL-10 KO mice also displayed a significant survival advantage after 2 LD50 challenge (our unpublished observations). Because IL-10 KO mice can develop significant gut inflammation when housed under standard conditions which might account, at least in part, for the differential survival of WT and IL-10 KO mice, we treated WT mice with IL-10R-blocking Ab or an isotype control and challenged them with 1 LD50 A/PR8. As seen in Fig. 1⇓B, mice treated with IL-10R- blocking Ab displayed similar weight loss and weight gain, but significantly enhanced survival as compared with isotype Ab-treated mice. As with WT and IL-10 KO mice (Fig. 1⇓C), the magnitude of infection and the kinetics of viral clearance were similar in isotype and IL-10R Ab-treated mice (data not shown).
IL-10 expression negatively influences high-dose primary flu challenge. Age-matched WT or IL-10 KO mice were challenged with 1 LD50 A/PR8 (5000 EID50). A, Weight loss and conditional survival (n = 15 mice/group and *, p < 0.05 from one of five similar experiments). B, WT mice infected with 1 LD50 A/PR8 were treated with either IL-10R-blocking Ab or an isotype control, as described, and weight loss and conditional survival were monitored (n = 8 and *, p < 0.05 from one of two independent experiments). Weight loss in A and B is of all surviving animals. C, On the stated days postinfection, viral titers were determined by quantitative PCR (n = 5/group/day from one of three similar experiments) and D, respiratory rates and minute volumes monitored (n = at least 7; *, p < 0.05 and ***, p < 0.001 from one of two independent experiments). E, H&E-stained lung sections were scored blindly for levels of immunopathology (n = 3–7 mice/group/day from one of two experiments).
Interestingly, IL-10 KO mice displayed significantly enhanced lung function compared with WT mice during lethal infection as assessed both by respiratory rate and minute volume (Fig. 1⇑D). To determine whether increased lung function reflected differential pathology in WT vs IL-10 KO mice, lungs were examined histologically and scored as outlined in supplemental Fig. 3. High-dose challenge in both strains was associated with extensive perivascular lymphocytic inflammation and diffuse infiltration of the alveoli, swelling of the bronchial wall, and hyperplasia of the bronchial epithelium with associated epithelial infiltration of lymphocytes. This intraepithelial inflammation is characteristic of T cell-mediated reactions, such as those seen in viral exanthems and contact dermatitis (39). The cause of death in WT mice does not appear to be related to the degree of inflammation in the lung as pathological examination revealed that the degree of inflammation is, if anything, greater in IL-10 KO than WT mice as graded on changes apparent in the pulmonary artery, bronchi, and alveoli (Fig. 1⇑E). Since mice began to reach cutoffs of conditional survival by day 9 after 1LD50 challenge, comparative analysis ceased at this time point. These findings show that increased lung function and survival observed in IL-10 KO mice following high-dose flu challenge do not correlate with reduced immunopathology compared with WT mice and suggest that elements of the inflammatory response generated against flu in the absence of IL-10 enhance protection.
IL-10 does not impact the magnitude of cellular responses against flu
It is possible that a stronger antiviral T cell response in IL-10 KO mice, either in terms of the number of responding cells or in terms of per-cell cytokine production, is responsible for increased protection against morbidity, as studies using LCMV have shown a more robust T cell response in the absence of IL-10 signaling (23, 24). We first quantified bulk CD44high T cells and observed similar kinetic accumulation and absolute numbers of CD4 and CD8 T cells in lungs of WT and IL-10 KO mice following 1 LD50 infection (supplemental Fig. 4A). Focusing on IFN-γ and IL-2 production traditionally associated with strong Th1 responses and protection against flu, we observed similar flu-specific cytokine responses from day 5 through day 9 after infection (supplemental Fig. 4B). Thus, the magnitude of flu-specific Th1 responses is not affected by IL-10 expression. Furthermore, we observed no differences in several classes of leukocytes, including neutrophils, NK cells, dendritic cells, and macrophages in the lungs of WT and IL-10 KO mice throughout the course of 1 LD50 A/PR8 infection (supplemental Fig. 5).
IL-10 selectively impacts expression of Th17-associated cytokines during flu infection
Given the ability of IL-10 to impact inflammation and since detrimental IL-10-mediated effects are likely to be via regulation of factors not typically associated with protective flu responses, we next investigated the effect of IL-10 deficiency on lung inflammation during lethal flu infection. We analyzed lungs from WT and IL-10 KO mice infected with 1 LD50 A/PR8 for expression of >20 cytokines and chemokines kinetically through day 9 of 1 LD50 A/PR8 challenge. Although we did not observe significant differences in several major inflammatory molecules, including IFN-γ, IL-12, and TNF, we did observe significantly elevated levels of IL-6 and IL-17 and IL-22 in IL-10 KO mice during the peak period of the anti-flu T cell response (Fig. 2⇓A and supplemental Fig. 6).
Increased expression of Th17-associated cytokines in the absence of IL-10. WT or IL-10 KO mice were challenged with 1 LD50 A/PR8 and on the stated days lungs were isolated and analyzed for protein (A and C) or message for the stated cytokines (B and D), as described (n = 3 mice/group/time point for A and C; n = 5 for B and D). Dotted lines in A and C represent average level of protein in uninfected mice. Data presented are representative of two similar independent experiments separately measuring protein and message (*, p < 0.05; **, p < 0.01; and ***, p < 0.001).
We further analyzed the RNA message in WT and IL-10 KO mice for additional Th17-associated products during the peak period of lung inflammation. IL-10 KO mice displayed dramatically enhanced levels of IL-17A, IL-17F, IL-21, and IL-22 message compared with WT mice during days 6–8 after infection (Fig. 2⇑B), whereas no significant differences in IL-1, inducible NO synthase, RANTES, or IL-23 mRNA expression were observed, all of which have been implicated in affecting responses against flu (40, 41, 42). Thus, IL-10 deficiency does not result in unchecked inflammation, but rather leads to increased expression of Th17-associated cytokines during flu infection. In support of this hypothesis, we observed peak expression of IL-10 in WT mice when maximal Th17-associated cytokine levels were observed in IL-10 KO mice (Fig. 2⇑, C and D).
Foxp3− CD4 T cells coproducing IFN-γ are an important source of IL-10
The kinetics of IL-10 expression in Fig. 2⇑, C and D, suggest that activated T cells that migrate to the lung and are re-exposed to flu Ag there (33) are a likely source of IL-10. To determine the extent of IL-10 production from T cells during flu infection, we depleted all T cells, CD4+, or CD8+ subsets from WT mice and infected them with 1 LD50 A/PR8. As seen in Fig. 3⇓A, expression of IL-10 was greatly reduced in the absence of T cells on day 7 postinfection. Depletion of CD4+ cells reduced IL-10 expression nearly as much as T cell depletion while depletion of CD8+ cells had little impact (Fig. 3⇓A), indicating that most IL-10 production was CD4 T cell dependent.
Effector CD4 T cells coproducing IFN-γ are the primary source of IL-10 during flu infection. A, WT mice were treated with depleting or isotype control Abs and infected with 1 LD50 A/PR8. On day 7, lungs were analyzed for IL-10 expression (n = 5 and *, p < 0.05). B, Two × 106 naive HNT.Thy1.1 CD4 T cells were transferred to WT hosts then infected with 1 LD50 A/PR8, and IL-10+ donor cells were determined by ICCS on day 7 (n = 5). C, Representative examples of donor cell IL-10/IFN-γ and isotype staining with or without peptide stimulation. D, Stated numbers of donor cells were transferred and ICCS was performed as in C; the ratio of IFN-γ+IL-10− to IFN-γ+IL-10+ donor cells in lungs is shown (n = 3). E, Representative example of IL-10/IFN-γ staining gated on CD4 T cells from dLN and lung of WT mice in the absence of adoptive transfer. F, CD25/Foxp3 staining of host and donor lung CD4 T cells on day 7 after infection. G, Total IL-10+ T cells from Foxp3.GFP mice were separated on the basis of GFP expression (*, p < 0.05). Data are representative of two independent experiments for A, D, and G and greater than five experiments for B, C, E, and F.
To investigate the nature of IL-10 expression by flu-specific CD4 T cells, we transferred HNT CD4 T cells to naive Thy-disparate mice and infected them with 1 LD50 A/PR8. On day 7, donor cell IL-10 production was determined by intracellular cytokine staining (ICCS). Nearly 20% of lung-resident HNT cells produced IL-10 compared with 5% or less of donor cells in the dLN and spleen (Fig. 3⇑B). Cells isolated from bronchoalveolar lavage resembled cells obtained from whole lungs (our unpublished observations). Multiparameter ICCS revealed that the majority of IL-10+ cells were also IFN-γ+ (Fig. 3⇑C). The pattern of IL-10/IFN-γ-producing donor cells over a broad nearly 100-fold range of donor cell input was similar (Fig. 3⇑D), suggesting that the number of monoclonal T cells did not impact the IL-10-producing phenotype. Furthermore, endogenous CD4 T cells in the absence of adoptive transfer displayed a similar pattern of IL-10 production as HNT cells with higher IL-10 production in the lung than lymphoid organs, particularly by IL-10/IFN-γ-producing cells (Fig. 3⇑E).
Although Foxp3+ CD4 T cells did accumulate in infected lungs, very few HNT cells converted to a Foxp3+ phenotype (Fig. 3f⇑). We further used Foxp3.GFP reporter mice to more definitively examine the relationship between Foxp3 expression and IL-10 production. We found that the majority of IL-10+ lymphocytes present in the lungs of lethally infected mice were Foxp3− (Fig. 3⇑G). Thus, highly activated Foxp3− effector CD4 T cells at the site of infection, capable of coproducing IL-10 and IFN-γ, represent the major source of IL-10 during flu challenge.
Absence of IL-10 promotes a strong Th17 component in flu-specific CD4 T cell responses
We next transferred WT HNT cells to WT hosts or IL-10 KO HNT cells to IL-10 KO hosts and infected them with 1 LD50 A/PR8 to investigate in more detail the impact of IL-10 deficiency on CD4 T cell responses. In agreement with polyclonal responses (supplemental Fig. 4), HNT populations reached similar numbers in lungs by day 7, with similar CFSE dilution in all organs tested (our unpublished observations), and similar percentages of HNT cells stained IFN-γ+ in the presence or absence of IL-10 (Fig. 4⇓A). Thus, production, or lack thereof, of IL-10 by responding CD4 T cells did not alter their expansion or the generation of IFN-γ-producing effectors capable of migration to the lung.
Th1/Th17 phenotype of responding flu-specific IL-10 KO T cells. Two × 106 naive WT or IL-10 KO HNT cells were transferred to WT or IL-10 KO hosts, respectively, then infected with 1 LD50 A/PR8. Seven days after challenge, lung HNT cells were analyzed for IFN-γ (A) or IL-17 (B) with or without peptide stimulation (n = 5). C, Peptide-dependent IL-17 production from WT or IL-10 KO HNT cells transferred to WT or IL-10 KO hosts (n = 3 and *, p < 0.05). WT or IL-10 KO mice were challenged with 1 LD50 A/PR8 and ELISPOT analysis was performed on day 7 for IL-17. CD4 and CD8 peptide-specific (D) and non-Ag- elicited IL-17 spots (E) per lung (n = 5 and *, p < 0.05). F, WT mice were treated with CD4-depleting or isotype control Abs and infected with 1 LD50 A/PR8. On day 7, lungs were analyzed for mRNA of the stated cytokines (n = 5 and *, p < 0.05 and **, p < 0.01). A–C are representative of three independent experiments, E and F of two experiments. HA, Hemagglutinin; n.s., not significant.
Strikingly, however, significantly more IL-17-producing cells were observed in transferred IL-10 KO vs WT HNT cells both with and without peptide stimulation (Fig. 4⇑B), consistent with observations of increased Th17-associated cytokines in lungs of infected IL-10 KO mice (Fig. 2⇑). IL-10 KO HNT cells displayed similar enhanced flu-specific IL-17 production when transferred to either IL-10 KO or WT hosts (Fig. 4⇑C). Thus, autocrine IL-10 produced by responding CD4 T cells appears to play a critical role in regulating the generation of Th17-polarized CD4 T cell effectors during flu infection.
To confirm increased IL-17 production from polyclonal CD4 T cells in the absence of IL-10, we performed ELISPOT analysis on lung-resident lymphocytes from WT and IL-10 KO mice on day 7 after 1 LD50 A/PR8 challenge. We observed significantly enhanced peptide-specific IL-17 production, predominantly from CD4 T cells, in IL-10 KO mice (Fig. 4⇑D). Similar to ICCS results (Fig. 4⇑B), IL-17 production was observed from IL-10 KO lymphocytes plated without additional stimulation (Fig. 4⇑E), suggesting active recognition of Ag and IL-17 secretion by T cells in vivo, although other populations, such as NK or γδ T cells, could also contribute to enhanced IL-17 production in IL-10 KO mice. To determine whether CD4 T cells are the major source of IL-17 detected in IL-10 KO mice, we treated IL-10 KO mice with either CD4-depleting Ab or an isotype control and assessed IL-17 message on day 7 postinfection. Not only was the level of IL-17A message dramatically lower in anti-CD4-treated mice, but we also observed dramatic reductions in mRNA for IL-17F, IL-21, and IL-22, but not for IL-6 (Fig. 4⇑F). These results show that although IL-17-producing CD4 T cells are generated during primary flu infection in WT mice, a dramatically enhanced Th17 response develops in the absence of IL-10 signaling that may contribute to the increased resistance of IL-10 KO mice to high-dose challenge.
Th-17-polarized CD4 T cell effectors can protect against lethal flu infection
We generated Th17-polarized effectors from naive HNT cells in vitro using published protocols with modifications based on preliminary studies (43) to directly investigate whether such effectors could contribute to protection against flu infection. As expected, Th17 effectors produced substantial IL-17 with negligible IFN-γ while Th1 effectors displayed the reverse pattern as assessed both by ICCS and ELISA (Fig. 5⇓, A and B). We also observed substantial production of IL-21 and IL-22 by Th17 but not Th1 or Th2 effectors (Fig. 5⇓B). Furthermore, TaqMan PCR analysis revealed strong, mutually exclusive expression of T-bet and retinoid-related orphan receptor (ROR)-γt in Th1 and Th17 effector cultures, respectively (Fig. 5⇓C). Interestingly, compared with strong granzyme B expression by Th1-polarized effectors, Th17 effectors were granzyme B negative (Fig. 5⇓D, left panel). An identical granzyme B staining pattern was observed with CD8 T cell-derived T cytotoxic cell (Tc) 1 and Tc17 effectors, correlating with cytotoxic function of the former but not the latter (44).
Th17-polarized effectors retain defining aspects of their phenotype in vivo following flu challenge. A, IFN-γ and IL-17 staining of Th1 and Th17 effectors with or without peptide stimulation and B, IFN-γ, IL-4, IL-17, IL-21 and IL-22 measured in 24-h supernatants of the indicated effectors stimulated with APC and peptide. C, Message for T-bet, GATA-3, and ROR-γt in polarized effectors. D, Granzyme B staining of Th1 and Th17 effectors before and 3 days after adoptive transfer and flu infection. E, IFN-γ and IL-17 staining of Th1 and Th17 HNT effectors in lungs 3 days after transfer and flu infection. A and B are representative of four independent experiments, D and E of three similar experiments.
To verify that effectors retained their phenotypes in vivo, we transferred Th1 or Th17 HNT effectors to naive BALB/c hosts and infected them with flu. Lung-resident effectors were analyzed day 3 after infection, found in previous studies to coincide with maximal responses of transferred flu-specific Th1 effectors (45). Th1 and Th17 effectors retained similar granzyme B staining patterns as in vitro cultures (Fig. 5⇑D). Responding Th17 effectors in vivo also retained a significant IL-17+ population, smaller than that observed in vitro, and were slightly but consistently enriched for IFN-γ+ cells (Fig. 5⇑E). This IFN-γ+ population, however, was only a fraction of the IFN-γ+ cells observed in responding Th1 effectors, which did not contain a significant IL-17+ population (Fig. 5⇑B). Thus, in vitro-polarized effectors retained defining aspects of the Th17 phenotype when responding to flu in vivo. In agreement with recent studies (46, 47), we found that IL-12 significantly impacted the proportion of IFN-γ+ Th17 effectors responding to flu, as transfer into IL-12p35-deficient hosts resulted in no increase of IFN-γ+ cells while IL-17+ cells remained stable (our unpublished observations).
To directly test the protective potential of Th17 effectors, we transferred Th17-polarized HNT effectors to naive mice and then infected them with 2 LD50 A/PR8. We transferred a number equal to the number of Th1-polarized HNT effectors previously shown to be required for protection of WT mice against this dose of flu (45). As seen in Fig. 6⇓A, Th17 effectors completely protected naive mice and were as effective as Th1 effectors. Although transfer of Th1 effectors led to significantly reduced viral titers on day 4 postinfection (45), we observed a slightly delayed but significant impact on viral clearance after transfer of Th17 effectors (Fig. 6⇓B). Interestingly, Th17 effectors initially led to decreases in respiratory function compared with infected mice not receiving cells but by day 5 after infection promoted enhanced lung function compared with controls (Fig. 6⇓C). Thus, protection against flu mediated by Th17-polarized CD4 T cells is correlated both with enhanced viral clearance and with enhanced lung function. This is consistent with the concept that the greater resistance against flu seen in the absence of IL-10 is due to the increased induction of Th17 responses in addition to a strong Th1 response.
Th17-polarized effectors protect against lethal flu challenge using novel mechanisms. Five × 106 Th1 or Th17 HNT effectors were transferred to naive BALB/c mice subsequently infected with 2 LD50 A/PR8 (10,000 EID50) and conditional survival was monitored (A; n = 10 mice/group). B, On the stated days, viral titers were determined by quantitative PCR (n = 5 mice/group/day and **, p < 0.01 and ***, p < 0.001). C, Respiratory rate and minute volume were determined as described (n = 10 mice/group/time point and *, p < 0.05; **, p < 0.01; and ***, p < 0.001). D, Five × 106 Th17 effectors generated from WT or IFNγ-/perforin KO HNT cells were transferred to nude or JHD hosts, respectively. All mice were subsequently infected with a lethal dose (1500 EID50) of A/PR8. Conditional survival is shown (n = 10 mice/group). A–C are representative of at least two independent experiments, D is a summary of two independent experiments for each condition, with n = 5 mice/group.
We next sought to better characterize how Th17-polarized CD4 T cells protect against flu. To determine whether a cooperative mechanism was involved between IL-17-producing HNT effectors and endogenous virus-specific Th1 cells, as has been reported for optimal protection against tuberculosis (48), we transferred Th17-polarized HNT cells to T cell-deficient nude hosts. When challenged with a dose of virus lethal to unprimed nude mice, mice receiving Th17 HNT effectors were completely protected (Fig. 6⇑D), suggesting that Th17 effectors are capable of protecting independently of other T cells.
We have previously shown that Th1-polarized HNT effectors protect against flu by providing help for B cell responses and by direct perforin-mediated cytolytic activity and that perforin-deficient effectors could not protect B cell-deficient (JHD mice) hosts from lethal A/PR8 infection (45). Furthermore, the Th17 effectors transferred produce IL-21 when stimulated in vitro, which is implicated in B cell help. Strikingly, we found that perforin/IFN-γ-double-deficient Th17-polarized HNT effectors completely protected JHD mice against otherwise lethal flu challenge (Fig. 6⇑D), strongly arguing against the possibility that contaminating Th1 or Th1-like cells within Th17 populations are responsible for protection or that identical protective mechanisms are used by Th17 and Th1 effectors. Additionally, administration of neutralizing Ab against IL-17A had no impact on weight loss patterns or protection of JHD mice receiving perforin/IFN-γ-double-deficient Th17 effectors, nor did such treatment impact weight loss or enhanced survival of IL-10 KO compared with WT mice (data not shown). These results show that Th17 effectors mediate protection against flu via novel mechanisms independent of IFN-γ, helper function, perforin-mediated cytotoxicity, and IL-17A, and further strengthen the hypothesis that IL-10 impedes optimal responses to higher doses of flu in part by inhibiting the development of Th17-polarized effectors.
Reduced expression and impact of IL-10 during heterosubtypic challenge
Finally, we investigated the impact of IL-10 on heterosubtypic flu infection. WT and IL-10 KO mice primed with 0.1 LD50 A/PR8 (H1N1) 25, 50, or 100 days previously were challenged with a lethal dose (300 LD50) of A/Philippines (H3N2). The robustness of heterosubtypic immunity decreased with time after primary challenge, as expected (49), but no differences in weight loss or subsequent recovery were observed between WT and IL-10 KO mice and all primed mice survived (Fig. 7⇓A).
Reduced IL-10 expression during secondary flu responses. A, WT or IL-10 KO mice were infected with 0.1 LD50 A/PR8 (H1N1) and on the stated days after primary infection, mice were challenged with 300 LD50 A/Philippines (H3N2) and monitored for weight loss (n = 5 mice/group). No primed mice succumbed to secondary challenge. B, After naive HNT cell transfer, lung and dLN resident donor cells were assayed for IL-10 production by ICCS on the stated days after 0.1 LD50 A/PR8 challenge. C, Two × 106 naive or memory HNT cells (Th1-polarized rested effectors) were transferred to naive hosts subsequently infected with 1 LD50 A/PR8. On the stated days, lungs (n = 3/group) were analyzed for IL-10 message. D, Lung homogenates (n = 3 mice/day) from naive mice infected with 1 LD50 A/PR8 and from mice primed 60 days previously with A/PR8 and challenged with 300 LD50 A/Philippines were analyzed for IL-10 expression. Data in B–D are representative of two independent experiments.
Given the dramatic impact of IL-10 on high-dose primary, but not secondary flu infection, we investigated IL-10 expression by flu-specific memory CD4 T cells present after the resolution of primary infection. We first assessed IL-10 expression by HNT cells transferred to naive mice and primed with 0.1 LD50 A/PR8. Upon stimulation, donor cells showed similar patterns of IL-10 production 7 days after either 1 LD50 or 0.1 LD50 challenge (Figs. 3⇑B and 7⇑B), but following viral clearance, the capacity for IL-10 production by HNT cells was dramatically reduced (Fig. 7⇑B), suggesting that secondary responses against flu are much less influenced by IL-10 compared with primary infection. In support of this hypothesis, we observed much reduced IL-10 expression following flu infection in mice that had received Th1-polarized HNT rested effectors that are virtually identical to memory CD4 T cells (35), compared with mice receiving an equal number of naive HNT cells (Fig. 7⇑C). Finally, WT mice primed with 0.1 LD50 A/PR8 and challenged with A/Philippines also displayed only very low levels of IL-10 compared with naive mice infected with 0.1 LD50 A/PR8 (Fig. 7⇑D). These results demonstrate much reduced expression and the impact of IL-10 on flu-specific memory responses.
Discussion
The importance of IL-10 expression during immune responses has largely been studied in models of autoimmunity, tolerance, and chronic infection. Comparatively little is known regarding the impact of IL-10 during acute viral infection. In this study, we investigated the nature of and influence of IL-10 expression during primary and secondary infection with highly pathogenic flu viruses. We show that IL-10 interferes with optimal protection against flu, but emerges as a negative factor only during higher dose challenge. We show that Foxp3− effector CD4 T cells coproducing IFN-γ in the lung represent the most abundant source of IL-10 during primary infection and that increased resistance against lethal challenge in the absence of IL-10 correlates, surprisingly, with the emergence of a strong Th17 component of the flu-specific T cell response. These results suggest that IL-10-producing cells among effector T cells serve to dampen production of Th17-associated cytokines that in the case of high-dose flu infection is counter protective. In support of this hypothesis, we demonstrate that transfer of Th17-polarized CD4 T cell effectors can protect otherwise naive mice against lethal flu infection utilizing novel mechanisms independent of established Th1 effector-mediated protection.
Increased inflammation during flu infection in the absence of IL-10 correlates kinetically with peak IL-10 expression in WT mice. Our observations are thus consistent with the hypothesis that IL-10 acts to limit strong inflammation coinciding with strong pathogen-specific immune responses. A similar mode of action for IL-10 has been described during acute Toxoplasma gondii and Trypanosoma cruzi infection (5, 7, 8). However, whereas in these studies unchecked immunopathology in IL-10-deficient mice led to earlier mortality compared with WT mice, we noted no impact of IL-10 deficiency on lung immunopathology and significantly increased survival in the absence of IL-10 following high-dose flu challenge. We suggest that it is likely that the localized, self-limiting, and acute nature of flu infection prevents the excessive and lethal immunopathology observed in more systemic or protracted infections. Our findings are unexpected also given the correlation of higher levels of inflammation (the H5N1-induced “cytokine storm”) with increased severity of disease (50), as we observed enhanced lung function in IL-10 KO mice during the peak period of inflammatory responses. However, putative positive vs negative roles for select inflammatory molecules during flu infection are not clear (51, 52) and our observations show a similar cellular influx and up-regulation of only select factors in the absence of IL-10, not an unchecked inflammatory response.
Similar to recent reports using intracellular protozoan infection models (53, 54), we show that activated virus-specific Foxp3− CD4 T cells coproducing IFN-γ represent an important source of IL-10 during flu infection. Expression of IL-10 is transient, correlating with high viral titers and the peak of T cell responses, suggesting that, in agreement with these previous studies, a strong pro-Th1 inflammatory environment is a critical factor in its generation. It remains to be determined whether IL-10+IFN-γ+ CD4 T cells revert to a resting state, losing expression of IL-10, or whether the IL-10+IFN-γ+ phenotype correlates with a terminally differentiated phenotype (55) and that this population undergoes apoptosis following resolution of primary infection. Several factors, including IL-12, IL-6, IL-27, and IFN-α, have been implicated in promoting IL-10 expression in T cell effectors (56, 57, 58, 59, 60, 61), and expression of all of these cytokines is increased in the lung during primary flu infection (our unpublished observations). These observations warrant further study with regard to the possibility of enhancing immunity against flu through modification of IL-10 expression by T cell effectors.
In other studies, we have found that despite the high number of IFN-γ-producing T cells that develop in response to flu challenge, protection mediated by flu-specific CD4 T cell effectors is completely IFN-γ independent (45). This suggests that other CD4 T cell effector subsets and diverse, possibly unidentified, effector mechanisms may play key roles in protection. Our results support this hypothesis and reveal that the flu-specific CD4 T cell effector response in the lung is more complex and heterogeneous than previously appreciated. Certainly the majority of responding CD4 T cells produce IFN-γ, but our results indicate that in WT mice a substantial fraction of effectors are IL-10/IFN-γ-coproducing cells. Also, in WT mice, a small population of effectors produce IL-17 and we suggest that this population is normally kept to a low level via the action of IL-10, but expands when IL-10 is absent. Surprisingly, we show that IL-10 KO CD4 T cells transferred to WT mice develop enhanced Th17 responses against flu, suggesting autocrine regulation of Th17 cytokine responses by IL-10 in activated effectors. Although IL-10 KO mice express significantly more IL-6 than WT mice following flu challenge, the induction of Th17 responses in IL-10 KO CD4 T cells responding in WT hosts also suggests that stronger virus-specific Th17 responses in IL-10 KO mice do not depend upon the enhanced expression of factors, such as TGF-β, that have been shown to promote Th17 development. Although not addressed in our studies, it is possible that a similar mechanism of regulation of Tc17 responses by IL-10 operates in effector CD8 T cells.
Since it focuses attention solely on the ability to produce IL-17, the term “Th17” can minimize the perceived importance of other factors produced by this subset of activated effectors, including, but not limited to, IL-17F, IL-21, and IL-22 (62). In agreement with others, we also show that in comparison to relatively homogeneous in vitro populations, heterogeneity among CD4 T cells capable of producing Th17 cytokines is observed in vivo (46, 47, 63). Our results show that Th17-polarized CD4 T cell effectors can protect against flu in an IL-17A- and IFN-γ-independent fashion, distinct from Th1 effector-mediated mechanisms of protection including helper function and perforin-mediated cytotoxicity.
Optimal immunity against flu is multivariate and remarkably redundant, as high degrees of protection are often observed in models in which major constituents of the WT response, such as CD4 and CD8 T cells or B cells, are deficient (64). Further studies will thus be required to determine the specific mechanisms and interactions responsible for Th17 effector-mediated protection against influenza, but it is tempting to speculate that noninflammatory properties of Th17-associated cytokines are involved. For example, IL-17 has been shown to increase mucin production from and increase proliferation of lung epithelial cells (65). A similar impact on epithelial cell proliferation and resistance to injury has been shown for IL-22 (66) and IL-6 has been found to suppress T regulatory cell activity (67), to rescue lymphocytes from apoptosis, and, somewhat paradoxically, to be involved in resolution of acute inflammation (68). Furthermore, IL-17 and IL-22 have been shown to regulate the production of a variety of antimicrobial proteins from epithelial cells (69).
Our observations of similar viral titers and similar Th1/Tc1 responses but improved lung function in IL-10 KO vs WT mice suggest that flu-specific Th17 responses may enhance protection by impacting the severity of lung damage and/or rate of lung repair rather than through direct antiviral effects. Our results support the hypothesis that enhanced resistance against flu in the absence of IL-10 is due to the activities of a population of Th17 cells acting in conjunction with mechanisms associated with protective antiviral responses against flu such as strong Th1/Tc1 responses. The kinetics of maximal Th17 responses following lethal infection (days 7 and 8) further supports the hypothesis that protective elements of the anti-flu response revealed by IL-10 deficiency occur during a short time frame during the resolution phase of infection. This late impact of the Th17 response may help to explain the similar weight loss patterns observed in WT and IL-10 KO mice.
In contrast to our results, a recent report by Sun et al. (70) found that blocking IL-10 signaling caused increased morbidity in flu-infected mice and administration of the IL-10R-blocking Ab correlated with a broad increase in lung inflammation but a minimal increase in IL-17. It is possible that the different impact of IL-10 in our studies is due to the differential ability of mouse colonies, even of the same strain, to generate strong Th17 responses (Ref. 71 and our unpublished observations). Thus, our mice may be more prone to generate stronger Th17 responses. It is also possible that differences in the IL-10R Ab treatment regimens can account, at least in part, for the different outcomes observed. Another contrast between the two studies is that Sun et al. (70) reported that lung-resident effector CD8 T cells were the major source of IL-10 during primary flu infection. In contrast, in our studies there was minimal IL-10 production from lung CD8 T cells. Because our studies use a much higher lethal challenge dose, we suggest that the kinetics and/or differential contribution of effector CD4 and CD8 T cell IL-10 production might be influenced by viral dose.
Although we noted robust IL-10 expression during the peak of the primary anti-flu response, we observed little IL-10 during heterosubtypic challenge or when flu-specific memory CD4 T cells were transferred to naive hosts infected with virus. Our findings are consistent with observations of reduced IL-10 expression in responding memory compared with naive T cells (35, 53, 72) and support the hypothesis that regulation through IL-10 expression by Th1-polarized CD4 T effectors is a mechanism mostly restricted to primary responses. Our findings further show that autocrine IL-10 production by highly activated effectors may also serve to inhibit the development of a Th17 component within responding T cells. Alternatively, the accelerated T cell response and earlier viral clearance characteristic of heterosubtypic flu challenge may not facilitate the development of an inflammatory environment required for the generation of IFN-γ+IL-10+ effector CD4 T cells. Although our studies do not establish direct significance of lower IL-10 expression in protective secondary responses against flu, it is interesting that the lung inflammatory environment in IL-10 KO mice following primary infection resembles that of WT mice following heterosubytpic challenge in terms of up-regulated expression of IL-6 and Th17-associated cytokines (our unpublished observations).
In contrast to T cell memory following Listeria monocytogenes infection (26), our results suggest that optimal flu-specific memory T cell responses do not depend on IL-10 expression during priming since equivalent and long-lasting heterosubtypic protection was observed in WT and IL-10 KO mice. Our previous studies demonstrated that strong heterosubtypic immunity is dependent on both virus-specific memory CD4 and CD8 T cells (49). Furthermore, the presence of flu Ag depots is not influenced by IL-10, although this does not rule out a longer term IL-10-independent survival niche for the virus following resolution of primary infection. Given the potential of residual depots of flu Ag to impact the generation and maintenance of virus-specific memory T cells (73), understanding the nature of and factors controlling long-lived flu Ag remain important areas of study.
Our in vivo observations of increased production of Th17-associated cytokines during flu infection in the absence of IL-10 are consistent with and extend recent studies suggesting an inhibitory role for IL-10 in the development of Th17 cytokine responses in vitro (74). It is tempting to speculate that pathogen-specific T cell response phenotypes in diverse studies linking increased survival and IL-10 deficiency may also display elements of a Th17 response and that Th17-polarized effectors in these circumstances may also contribute to protection.
Acknowledgments
We thank Drs. Georgia Perona-Wright and Andrea Cooper for helpful discussions and the Trudeau Institute Imaging Core.
Disclosures
The authors have no financial conflict of interest.
Footnotes
The costs of publication of this article were defrayed in part by the payment of page charges. This article must therefore be hereby marked advertisement in accordance with 18 U.S.C. Section 1734 solely to indicate this fact.
↵1 This work was supported by National Institutes of Health Grants AI46530 and AI067294 (to S.L.S.) and NS06104, by the Department of Defense HR+3222, and by the Trudeau Institute.
↵2 K.K.M. and T.M.S. contributed equally.
↵3 Address correspondence and reprint requests to Dr. K. Kai McKinstry, Trudeau Institute, 154 Algonquin Avenue, Saranac Lake, NY, 12983. E-mail address: kmckinstry{at}trudeauinstitute.org
↵4 Abbreviations used in this paper: KO, knockout; WT, wild type; EID, egg infective dose; dLN, draining lymph node; Tc, T cytotoxic cell; LCMV, lymphocytic choriomeningitis virus; Tg, transgenic; ICCS, intracellular cytokine staining; ROR, retinoid-related orphan receptor.
↵5 The online version of this article contains supplemental material.
- Received March 3, 2009.
- Accepted April 3, 2009.
- Copyright © 2009 by The American Association of Immunologists, Inc.