Nucleotide oligomerization domain–like receptor X1 (NLRX1) has been implicated in viral response, cancer progression, and inflammatory disorders; however, its role as a dual modulator of CD4+ T cell function and metabolism has not been defined. The loss of NLRX1 results in increased disease severity, populations of Th1 and Th17 cells, and inflammatory markers (IFN-γ, TNF-α, and IL-17) in mice with dextran sodium sulfate–induced colitis. To further characterize this phenotype, we used in vitro CD4+ T cell–differentiation assays and show that NLRX1-deficient T cells have a greater ability to differentiate into an inflammatory phenotype and possess greater proliferation rates. Further, NLRX1−/− cells have a decreased responsiveness to immune checkpoint pathways and greater rates of lactate dehydrogenase activity. When metabolic effects of the knockout are impaired, NLRX1-deficient cells do not display significant differences in differentiation or proliferation. To confirm the role of NLRX1 specifically in T cells, we used an adoptive-transfer model of colitis. Rag2−/− mice receiving NLRX1−/− naive or effector T cells experienced increased disease activity and effector T cell populations, whereas no differences were observed between groups receiving wild-type or NLRX1−/− regulatory T cells. Metabolic effects of NLRX1 deficiency are observed in a CD4-specific knockout of NLRX1 within a Citrobacter rodentium model of colitis. The aerobic glycolytic preference in NLRX1−/− effector T cells is combined with a decreased sensitivity to immunosuppressive checkpoint pathways to provide greater proliferative capabilities and an inflammatory phenotype bias leading to increased disease severity.

Nucleotide oligomerization domain–like receptor X1 (NLRX1) is a pattern recognition receptor and a member of the negative-regulatory subclass of Nod-like receptors (13). NLRX1 was linked to the viral response, innate immunity, and downstream effects on NF-κB signaling (47). Located on the outer mitochondrial membrane, NLRX1 was shown to influence reactive oxygen species (ROS) production and the proliferation of epithelial cells in the context of colorectal cancer disease models (810). As such, NLRX1 is a potential immunoregulatory molecule that integrates immune and metabolic function. However, its role in the adaptive mucosal immune response, specifically CD4+ T cells, has not been described.

The differentiation of T cells is an important determinant in the progression of immune-mediated disease and response to infectious disease contributing to exacerbated and sustained inflammatory responses (1114). As amplifiers or controllers of the immune response, CD4+ T cells are highly sensitive and responsive to their environment, with activation occurring through multiple mechanisms, including dendritic cell contact or the cytokine microenvironment (1517). The activation is paired with a phenotype commitment, albeit a plastic one, with distinct effector (Th1, Th2, Th9, Th17, Th22, T follicular helper [Tfh]) and regulatory (natural regulatory T cells [nTregs], induced Tregs [iTregs], type 1 Tregs [Tr1], T follicular regulatory) behavior (12, 18). Recently, the effect of metabolic pathways on the differentiation and proliferation of T cells arose as a potential factor in these cell phenotype decisions (1921). In particular, a divide exists in the preferred metabolic activity of effector cells and Tregs (22). Effector T cells display a preference for glycolysis, even in the presence of sufficient oxygen, similar to the Warburg effect described within cancer cells (21). In contrast, Tregs have a lower metabolic rate and produce energy via oxidation (22).

Also contributing to the homeostasis of T cells is signaling derived from immune checkpoint pathways. PD-1 and CTLA-4 signaling are the most prominent and the earliest described of these pathways, although more recently discovered pathways, such as LAG3, TIM3, and TIGIT, displayed similar functionality in terms of suppressive effects on the proliferation, metabolism, and levels of cytokine production (2325). Although blockade of the immune checkpoint pathways is an emerging cancer therapy, impaired immune checkpoint responses were implicated in many inflammatory and immune-mediated diseases (2628). PD-1 and PD-L1 polymorphisms were associated with systemic lupus erythematosus, arthritis, multiple sclerosis, and Crohn’s disease (24). Crohn’s disease and ulcerative colitis, the two main clinical manifestations of inflammatory bowel disease (IBD), were mechanistically linked to overly exuberant T cell responses within the gastrointestinal mucosa (29).

In this article, we describe the integrative effects of NLRX1 on immunity and metabolism through the greater proliferation, inflammatory bias, and decreased sensitivity in response to immune checkpoint pathways of CD4+ T cells. We use in vitro and in vivo findings to illustrate the implications of NLRX1 deficiency in T cells using three mouse models of IBD.

C57BL/6 wild-type (WT) and NLRX1−/− mice, ranging from 8 to 10 wk of age, were administered dextran sodium sulfate (DSS) in drinking water for 7 d. Control mice received standard drinking water. All mice were weighed and scored daily. Disease activity index was scored holistically by physical appearance, fecal consistency, rectal bleeding, and weight loss. Mice were euthanized by CO2 narcosis for sample collection on days 3, 7, and 10 post-DSS initiation. All experimental procedures were approved by the Institutional Animal Care and Use Committee.

CD4+ T cells were enriched from WT and NLRX1−/− donor spleens using an IMag cell separation system. For FACS, cells were labeled with CD45RB, CD4, and CD25 and separated into CD4+CD45RBhiCD62L+CD25 cells (naive T cells), CD4+CD45RBhiCD25 cells (effector T cells), and CD4+CD45RBloCD25+ cells (Tregs) in a FACSAria cell sorter. Rag2−/− mice were transferred with 4 × 105 sorted naive CD4+ cells from WT or NLRX1−/− mice for initial studies and with 4 × 105 effector T cells and 1 × 105 sorted Tregs for secondary studies. Mice were weighed and scored on a weekly basis until the development of clinical signs of disease. After development of clinical signs, mice were weighed and scored daily until necropsy. Mice were euthanized for sample collection 8 wk posttransfer.

C. rodentium (strain DBS100) was grown aerobically, at 37°C with 200 rpm shaking, in LB broth within a capped Erlenmeyer flask overnight. An aliquot of bacterial suspension was added to fresh LB broth 5 h prior to challenge to provide bacteria in log-phase growth. Bacterial concentration was adjusted to 5 × 1010 CFU/ml by spectrophotometer. Mice were given 1 × 109 CFU in LB broth by orogastric gavage. Control mice were given an equal volume of sterile LB broth. Mice were weighed and scored daily postchallenge. Colonization was monitored by feces collection every other day. Mice were euthanized for sample collection at day 12 and week 4 postchallenge.

Naive CD4+ T cells were obtained by magnetic sorting of WT and NLRX1−/− splenocytes. Twelve-well plates were prepared through incubation with anti-CD3 and anti-CD28 Abs for 1 h at 37°C. Cells were prepared in complete IMDM containing 10% FBS, 20 mM HEPES, 55 μM 2-ME, and penicillin/streptomycin. Cells were plated at 500,000 cells per well. Th17 cytokine differentiation mixture was composed of 2.5 ng/ml TGF-β, 25 ng/ml IL-6, 10 μg/ml anti–IL-4, 10 μg/ml anti–IFN-γ, and 50 ng/ml IL-23. iTreg cytokine differentiation mixture was composed of 5 ng/ml TGF-β, 5 ng/ml IL-10, 10 μg/ml anti–IL-4, and 10 μg/ml anti–IFN-γ. Cells were collected for assay after 60 h of culture. Five hours prior to collection, cells were stimulated with PMA/ionomycin and incubated with GolgiStop. Cell proliferation was measured by CFSE staining. A lactate dehydrogenase (LDH) activity kit was used to measure LDH activity. Briefly, cells were homogenized, and the homogenate was assayed using colorimetric detection of the reduction of NAD to NADH. Fatty acid oxidation rates were obtained from measures of 14CO2 production and acid soluble metabolites from the oxidation of [1-14C]palmitic acid, as previously described (30). For measurement of extracellular acidification rate, cells were incubated under CO2-deficient conditions and mixed with a cell-impermeable pH-sensitive fluorophore. Glucose, carbonyl cyanide-4-phenylhydrazone (FCCP), and 2-deoxy-d-glucose (2DG) were injected into each well at marked intervals and allowed to normalize for 5 min prior to fluorescence lifetime measurement. For measurement of oxygen consumption rate, cells were mixed with MitoXpress Xtra solution, containing a phosphorescent oxygen probe, and overlaid with mineral oil. Glucose oxidase, FCCP, and 2DG were injected into each well at marked intervals and allowed to normalize for 5 min prior to fluorescence lifetime measurement.

Mesenteric lymph nodes and spleen were excised, and single-cell suspensions were prepared and resuspended in PBS with 5% BSA and GolgiStop. Colon sections were incubated in RPMI/FBS buffer (87.5% RPMI 1640, 10% FBS, 2.5% HEPES) containing collagenase (300 U/ml) and DNase (50 U/ml) for 1 h with stirring at 37°C. Immune cells were purified from the cell suspension by Percoll gradient. Cells were labeled with extracellular and intracellular Abs in 96-well plates. A BD LSRII flow cytometer, in combination with FACSDiva software, was used to acquire and analyze flow cytometry data.

Colonic samples were fixed in 10% buffered formalin, embedded in paraffin, processed routinely, and sectioned at 5 μm. Sections were stained with H&E and examined and graded by a board-certified veterinary pathologist using an Olympus microscope and Image-Pro software. Sections were graded (from 0 to 3) for leukocyte infiltration, epithelial erosion, and mucosal thickness.

Total RNA was isolated from mouse colons using a QIAGEN RNA Isolation Mini Kit and used to generate cDNA via the iScript cDNA Synthesis Kit. Standards were produced through PCR on the cDNA with Taq DNA Polymerase (Invitrogen). The amplicon was purified using a MinElute PCR Purification Kit (QIAGEN). Expression levels were obtained through quantitative real-time PCR using a CFX 96 Thermal Cycler and SYBR Green Supermix (both from Bio-Rad). For analysis, the starting amount of target gene cDNA was compared with that of β-actin as a control.

Nuclear and cytoplasmic protein extracts were quantified with the Pierce BCA protein assay. Standardized samples were run on 10% gels, transferred to nitrocellulose membranes, and incubated with target or control Abs overnight at 4°C. Secondary Abs (anti–rabbit-HRP and anti–mouse HRP) were added for 1 h at room temperature, after which the membrane was visualized using Image Lab software.

Data are expressed as mean and SEM. Parametric data were analyzed using ANOVA, followed by the Scheffé multiple-comparisons test. ANOVA was performed using the general linear model procedure of SAS (SAS Institute, Cary, NC). A 2 × 2 factorial arrangement comparing genotype and treatment was used. Statistical significance was determined at p ≤ 0.05.

WT and NLRX1−/− mice were administered DSS in drinking water over a 7-d period. Significant increases in disease activity index were observed within NLRX1−/− mice as soon as day 3 of DSS challenge and continued throughout the remainder of the administration period (Fig. 1A). Increased disease severity was paired with increased Th1 and Th17 populations within the colonic lamina propria (Fig. 1B, 1C) and spleen (Fig. 1E, 1F) at days 3 and 7 of DSS challenge. No differences were observed in splenic or lamina propria Tregs throughout the experimental period (Fig. 1D, 1G). A significant increase in TNF-producing CD4+ T cells was also observed, but no differences in IL-22–producing or IL-4–producing CD4+ T cells were observed between the genotypes (Supplemental Fig. 1). Broad increases in the expression of inflammatory cytokines (IL-17, IFN-γ, and TNF-α) were observed in whole-colon RNA (Fig. 1H–J). Using the cre-lox recombination system, NLRX1fl/fl; CD4cre+ (NLRX1ΔT) mice were generated (Supplemental Fig. 2) and challenged with DSS to validate whether NLRX1 has an intrinsic role within T cells during colitis. In a similar manner to NLRX1−/− mice, NLRX1ΔT mice displayed worsened disease activity (Fig. 2A) throughout the time course, culminating in increased colonic lamina propria (Fig. 2B, 2C) and splenic (Fig. 2E, 2F) Th17 and Th1 cells at day 7 of DSS challenge. However, no differences in Tregs were observed at the colonic (Fig. 2D) or splenic (Fig. 2G) level.

FIGURE 1.

DSS colitis induces greater inflammatory T cell populations in NLRX1−/− mice. (A) Disease activity index of WT and NLRX1−/− mice given DSS for 7 d, followed by 3 d of water. Numbers of Th1 (CD4+NK1.1-CD8Tbet+IFNγ+) cells in colonic lamina propria (B) and spleen (E). Numbers of Th17 (CD4+NK1.1-CD8RORγt+IL-17+) cells in colonic lamina propria (C) and spleen (F). Numbers of Tregs (CD4+NK1.1-CD8CD25+FOXP3+IL-10+) in colonic lamina propria (D) and spleen (G). mRNA expression of Ifnγ (H), Tnfa (I), and IL-17A (J) in colons of mice on day 7 of DSS challenge. n = 12. *p < 0.05.

FIGURE 1.

DSS colitis induces greater inflammatory T cell populations in NLRX1−/− mice. (A) Disease activity index of WT and NLRX1−/− mice given DSS for 7 d, followed by 3 d of water. Numbers of Th1 (CD4+NK1.1-CD8Tbet+IFNγ+) cells in colonic lamina propria (B) and spleen (E). Numbers of Th17 (CD4+NK1.1-CD8RORγt+IL-17+) cells in colonic lamina propria (C) and spleen (F). Numbers of Tregs (CD4+NK1.1-CD8CD25+FOXP3+IL-10+) in colonic lamina propria (D) and spleen (G). mRNA expression of Ifnγ (H), Tnfa (I), and IL-17A (J) in colons of mice on day 7 of DSS challenge. n = 12. *p < 0.05.

Close modal
FIGURE 2.

DSS colitis induces greater inflammatory T cell populations with T cell–specific deletion of NLRX1. (A) Disease activity index of WT and NLRX1fl/fl; CD4cre+ mice given DSS for 7 d. Numbers of Th17 (CD4+NK1.1-CD8RORγt+IL-17+) cells in colonic lamina propria (B) and spleen (E). Numbers of Th1 (CD4+NK1.1-CD8−Tbet+IFNγ+) cells in colonic lamina propria (C) and spleen (F). Numbers of Tregs (CD4+NK1.1-CD8−CD25+FOXP3+IL-10+) in colonic lamina propria (D) and spleen (G). n = 12. *p < 0.05.

FIGURE 2.

DSS colitis induces greater inflammatory T cell populations with T cell–specific deletion of NLRX1. (A) Disease activity index of WT and NLRX1fl/fl; CD4cre+ mice given DSS for 7 d. Numbers of Th17 (CD4+NK1.1-CD8RORγt+IL-17+) cells in colonic lamina propria (B) and spleen (E). Numbers of Th1 (CD4+NK1.1-CD8−Tbet+IFNγ+) cells in colonic lamina propria (C) and spleen (F). Numbers of Tregs (CD4+NK1.1-CD8−CD25+FOXP3+IL-10+) in colonic lamina propria (D) and spleen (G). n = 12. *p < 0.05.

Close modal

To determine the direct effect of the loss of NLRX1 on the differentiation of CD4+ T cells, we sorted naive CD4+ T cells from the spleens of WT and NLRX1−/− mice. When exposed to a Th17-promoting cytokine environment (IL-6, TGF-β, IL-23, anti–IL-4, anti–IFN-γ), NLRX1−/− T cells exhibited a higher rate of differentiation into Th17 cells than did WT T cells (Fig. 3A). In contrast, when exposed to an iTreg-promoting cytokine environment (TGF-β, IL-10, anti–IL-4, anti–IFN-γ), NLRX1−/− T cells did not behave significantly differently than WT cells with regard to iTreg differentiation (Fig. 3B). However, the rate of iTreg differentiation within Th17-promoting media was significantly lower for NLRX1−/− T cells (Fig. 3C). The difference was exacerbated by the addition of PD-L1 to the culture media, which significantly increased the population in WT samples but induced no change in NLRX1−/− samples (Fig. 3C). The proliferation of CD4+ T cells was measured in vitro by CFSE staining. NLRX1−/− Th17-differentiated cells displayed a greater proliferative index compared with WT Th17 cells (Fig. 3D). The administration of PD-L1 decreased the proliferative index to a greater degree in WT cells (Fig. 3D). Increased PD-L1 expression was observed within WT and NLRX1−/− mice on day 7 of DSS challenge compared with non-DSS controls (Supplemental Fig. 1).

FIGURE 3.

NLRX1−/− CD4+ T cells have greater inflammatory and proliferation potential. (A) Proportion of Th17-differentiated cells in vitro in Th17-differentiating media. (B) Proportion of Treg-differentiated cells in vitro in Treg-differentiating media. (C) Proportion of Treg-differentiated cells in vitro in Th17-differentiating media, with and without addition of PD-L1. (D) Th17 proliferation index by CFSE staining, with and without addition of PD-L1. Data are a result from three experiments with triplicate samples. n = 9. *p < 0.05.

FIGURE 3.

NLRX1−/− CD4+ T cells have greater inflammatory and proliferation potential. (A) Proportion of Th17-differentiated cells in vitro in Th17-differentiating media. (B) Proportion of Treg-differentiated cells in vitro in Treg-differentiating media. (C) Proportion of Treg-differentiated cells in vitro in Th17-differentiating media, with and without addition of PD-L1. (D) Th17 proliferation index by CFSE staining, with and without addition of PD-L1. Data are a result from three experiments with triplicate samples. n = 9. *p < 0.05.

Close modal

Based on the in vitro proliferation results and the in vivo RNA-sequencing metabolic differences at the colonic level (Supplemental Fig. 3), we sought to determine the effect of NLRX1 on the metabolic processes of T cells. NLRX1 deficiency results in increased expression of Cpt1a, Fabp4, and Glut1 genes that are responsible for the uptake and utilization of glucose and fatty acids (Fig. 4A–C). Similarly, the loss of NLRX1 increases the activity of LDH and the rate of incomplete fatty acid oxidation, a measure of acid soluble metabolites following the oxidation of labeled palmitate, as opposed to complete oxidation to CO2 (Fig. 4D, 4E). Administration of PD-L1 decreased LDH activity and increased total fatty acid oxidation in WT Th17 cells but it did not result in significant changes in NLRX1−/− cells (Fig. 4D). Additionally, the rate of total fatty acid oxidation failed to increase following PD-L1 stimulation within NLRX1−/− cells (Fig. 4F). The increased glycolytic flux in NLRX1−/− Th17 cells was further confirmed by an increased extracellular acidification rate (Fig. 4G). No consistent differences existed in the oxygen consumption rate in Th17 cells between genotypes (Fig. 4H). Similar differences were observed in CD4+ T cells isolated from the colons of mice on day 3 of DSS challenge; however, no differences were observed with regard to extracellular acidification or oxygen-consumption rates within differentiated Tregs (Supplemental Fig. 1). NLRX1−/− differentiated Th17 cells also displayed increased glycolytic flux compared with WT, as measured by CO2 production from the metabolism of radiolabeled glucose (Fig. 4I). Direct inhibition of LDH activity, through treatment with sodium oxamate, normalized NLRX1−/− Th17 differentiation rates and proliferative index to WT levels (Fig. 4J, 4K). The administration of sodium oxamate in vivo resulted in similar decreases in NLRX1−/− Th17 cell numbers, in addition to Th1 cell numbers, during DSS colitis (Supplemental Fig. 4). Additionally, treatment with metformin, an activator of AMP-activated protein kinase (AMPK), rescued the responsiveness to PD-L1 signaling and decreased LDH activity (Fig. 4L, 4M). Notably, culture within microaerophilic conditions further increased the differences between NLRX1−/− and WT cells with regard to measures of Th17 differentiation rate and LDH activity (Fig. 4N, 4O). The lack of NLRX1 increased the expression of Hif1a in normoxic and microaerophilic conditions (Fig. 4P).

FIGURE 4.

NLRX1−/− CD4+ T cells have altered metabolic behavior. mRNA expression of Cpt1a (A), Fabp4 (B), and Glut1 (C). (D) Activity of LDH, with and without addition of PD-L1. (E) Incomplete fatty acid oxidation as a measure of acid soluble metabolite production. (F) Total fatty acid oxidation with addition of PD-L1. Extracellular acidification (G) and oxygen consumption rates (H) from differentiated CD4+ Th17 cells. Cells were measured over time and exposed to glucose oxidase, FCCP, and 2DG during the indicated periods. (I) CO2 production from radiolabeled [14C]glucose in WT and NLRX1−/− differentiated Th17 cells. Differentiation (J) and proliferation (K) of Th17 cells in the presence of sodium oxamate. Differentiation (L) and LDH activity (M) of Th17 cells in the presence of PDL1 and metformin. Differentiation (N) and LDH activity (O) of Th17 cells in microaerophilic conditions. (P) mRNA expression of Hif1a. Data are a result of three experiments with triplicate samples. n = 9. *p < 0.05.

FIGURE 4.

NLRX1−/− CD4+ T cells have altered metabolic behavior. mRNA expression of Cpt1a (A), Fabp4 (B), and Glut1 (C). (D) Activity of LDH, with and without addition of PD-L1. (E) Incomplete fatty acid oxidation as a measure of acid soluble metabolite production. (F) Total fatty acid oxidation with addition of PD-L1. Extracellular acidification (G) and oxygen consumption rates (H) from differentiated CD4+ Th17 cells. Cells were measured over time and exposed to glucose oxidase, FCCP, and 2DG during the indicated periods. (I) CO2 production from radiolabeled [14C]glucose in WT and NLRX1−/− differentiated Th17 cells. Differentiation (J) and proliferation (K) of Th17 cells in the presence of sodium oxamate. Differentiation (L) and LDH activity (M) of Th17 cells in the presence of PDL1 and metformin. Differentiation (N) and LDH activity (O) of Th17 cells in microaerophilic conditions. (P) mRNA expression of Hif1a. Data are a result of three experiments with triplicate samples. n = 9. *p < 0.05.

Close modal

To determine the impact of effector and regulatory CD4+ T cells on experimental IBD, Rag2−/− mice were administered WT or NLRX1−/− sorted naive CD4+ T cells via i.p. injection (Fig. 5A). Postadministration, increased leukocytic infiltration and epithelial erosion were observed in mice given NLRX1−/− cells (Fig. 5D, 5G–I). Spleen and colonic lamina propria samples from mice administered NLRX1−/− cells contained greater percentages and absolute numbers of Th1 and Th17 cells (Fig. 5B, 5C, 5E, 5F). To determine whether the effect of NLRX1 was through effects on effector or regulatory cells, effector cell and Treg subsets were sorted from WT and NLRX1−/− spleens. Rag2−/− mice were administered either WT effectors, WT effectors and regulatory cells, WT effectors and NLRX1−/− regulatory cells, NLRX1−/− effectors, NLRX1−/− effectors and regulatory cells, or NLRX1−/− effectors and WT regulatory cells. Transfers and sorting of WT and NLRX1−/− occurred concurrently. The administration of NLRX1−/− effectors accelerated disease onset and worsened overall severity (Fig. 6A). Groups given NLRX1−/− effector T cells possessed increased numbers of Th1 and Th17 subsets compared with groups given WT effector T cells, suggesting an effector-intrinsic role of NLRX1 (Fig. 6B–G). Groups given NLRX1−/− Tregs displayed no significant differences in Th1 and Th17 populations compared with corresponding groups given WT Tregs (Fig. 6B–G).

FIGURE 5.

Adoptive transfer of naive NLRX1−/− T cells results in increased disease severity. (A) Disease activity index of Rag2−/− mice that received transfer of WT or NLRX1−/− naive CD4+ T cells. Percentage (B) and absolute number (C) of CD4+ T cell populations in colonic lamina propria 8 wk after transfer. (D) Summarized histology scores for leukocytic infiltration and epithelial erosion. Percentage (E) and absolute number (F) of CD4+ T cell populations in spleen 8 wk after transfer. Representative photomicrographs (original magnification ×20 [main photos], ×100 [insets]) at 8 wk posttransfer of H&E-stained colonic sections from control Rag2−/− mice (G) or Rag2−/− mice that received transfer of WT (H) or NLRX1−/− (I) cells. Slides were H&E stained. n = 10. *p < 0.05.

FIGURE 5.

Adoptive transfer of naive NLRX1−/− T cells results in increased disease severity. (A) Disease activity index of Rag2−/− mice that received transfer of WT or NLRX1−/− naive CD4+ T cells. Percentage (B) and absolute number (C) of CD4+ T cell populations in colonic lamina propria 8 wk after transfer. (D) Summarized histology scores for leukocytic infiltration and epithelial erosion. Percentage (E) and absolute number (F) of CD4+ T cell populations in spleen 8 wk after transfer. Representative photomicrographs (original magnification ×20 [main photos], ×100 [insets]) at 8 wk posttransfer of H&E-stained colonic sections from control Rag2−/− mice (G) or Rag2−/− mice that received transfer of WT (H) or NLRX1−/− (I) cells. Slides were H&E stained. n = 10. *p < 0.05.

Close modal
FIGURE 6.

Adoptive transfer of NLRX1−/− effector T cells increases disease severity. (A) Disease activity index of Rag2−/− mice that received transfer of WT and NLRX1−/− effector and regulatory CD4+ T cells. Numbers of Tregs (CD4+NK1.1-CD8CD25+FOXP3+IL-10+) in spleen (B) and colonic lamina propria (C). Numbers of Th1 (CD4+NK1.1-CD8Tbet+IFNγ+) cells in spleen (D) and colonic lamina propria (E). Numbers of Th17 (CD4+NK1.1-CD8RORγt+IL-17+) cells in spleen (F) and colonic lamina propria (G). n = 10. *p < 0.05, effector versus regulatory groups. #p < 0.05 between genotypes.

FIGURE 6.

Adoptive transfer of NLRX1−/− effector T cells increases disease severity. (A) Disease activity index of Rag2−/− mice that received transfer of WT and NLRX1−/− effector and regulatory CD4+ T cells. Numbers of Tregs (CD4+NK1.1-CD8CD25+FOXP3+IL-10+) in spleen (B) and colonic lamina propria (C). Numbers of Th1 (CD4+NK1.1-CD8Tbet+IFNγ+) cells in spleen (D) and colonic lamina propria (E). Numbers of Th17 (CD4+NK1.1-CD8RORγt+IL-17+) cells in spleen (F) and colonic lamina propria (G). n = 10. *p < 0.05, effector versus regulatory groups. #p < 0.05 between genotypes.

Close modal

To confirm the findings within an infectious model of colitis, NLRX1ΔT mice were challenged with C. rodentium. At the peak inflammatory response, NLRX1ΔT mice had greater numbers of Th1 and Tfh cells in the colonic lamina propria and spleen (Fig. 7A–D). A significant increase in Th17 cell number was observed in the colonic lamina propria (Fig. 7E). In addition, NLRX1ΔT mice had lower levels of IL-10–producing cells in the colonic lamina propria, including iTreg and Tr1 populations (Fig. 7G, 7H). NLRX1ΔT samples possessed higher LDH activity than WT samples, as determined from sorted colonic T cells at peak inflammation (Fig. 7I). The expression of Glut1 was also increased in NLRX1ΔT mice (Fig. 7J). As a result of increased inflammation, NLRX1ΔT mice had lower C. rodentium burdens at day 12 postinfection, as measured by reisolation from fecal samples (Fig. 7K). Meanwhile, NLRX1ΔT mice scored higher on histological assessment of leukocytic infiltration and mucosal thickness (Fig. 7L).

FIGURE 7.

C. rodentium challenge of T cell–specific knockouts of NLRX1 results in greater inflammation. Numbers of Th1 (CD4+NK1.1-CD8−Tbet+IFNγ+) cells in colonic lamina propria (A) and spleen (B). Numbers of Tfh (CD4+NK1.1-CD8Bcl6+IL-21+) cells in colonic lamina propria (C) and spleen (D). Numbers of Th17 (CD4+NK1.1-CD8RORγt+IL-17+) cells in colonic lamina propria (E) and spleen (F). Numbers of Tregs (CD4+NK1.1-CD8CD25+FOXP3+IL-10+) (G) and Tr1 cells (H) in colonic lamina propria. LDH activity (I) and mRNA expression of Glut1 (J) in sorted CD4+ T cells from colons of mice 12 d postinfection. (K) Reisolation of C. rodentium from fecal samples at 12 d postinfection. (L) Histological scores for epithelial erosion, leukocytic infiltration, and mucosal thickness of colonic sections at 12 d postinfection. n = 10. *p < 0.05.

FIGURE 7.

C. rodentium challenge of T cell–specific knockouts of NLRX1 results in greater inflammation. Numbers of Th1 (CD4+NK1.1-CD8−Tbet+IFNγ+) cells in colonic lamina propria (A) and spleen (B). Numbers of Tfh (CD4+NK1.1-CD8Bcl6+IL-21+) cells in colonic lamina propria (C) and spleen (D). Numbers of Th17 (CD4+NK1.1-CD8RORγt+IL-17+) cells in colonic lamina propria (E) and spleen (F). Numbers of Tregs (CD4+NK1.1-CD8CD25+FOXP3+IL-10+) (G) and Tr1 cells (H) in colonic lamina propria. LDH activity (I) and mRNA expression of Glut1 (J) in sorted CD4+ T cells from colons of mice 12 d postinfection. (K) Reisolation of C. rodentium from fecal samples at 12 d postinfection. (L) Histological scores for epithelial erosion, leukocytic infiltration, and mucosal thickness of colonic sections at 12 d postinfection. n = 10. *p < 0.05.

Close modal

NLRX1 is important in controlling the proliferation and differentiation of CD4+ T cells, suggesting that it is implicated in T cell–mediated diseases. We present evidence that NLRX1 in T cells may provide protection from IBD, as demonstrated in three disease models spanning chemical-, infectious-, and cellular-induced disease. The loss of NLRX1 leads to the expansion of inflammatory T cell subsets, including Th1, Th17, and Tfh, locally in the colonic lamina propria and systemically within the spleen. Our in vivo and in vitro observations suggest that NLRX1−/− T cells are biased toward inflammatory phenotypes, increased proliferation, and decreased sensitivity to immune checkpoint pathways.

Notably, the increased proliferation and Th17 differentiation in vitro is paired with an increase in aerobic glycolysis and expression of glucose transporters. The receptor PD-1 was reported to promote immunosuppressive effects through multiple pathways, including switching the metabolic pathways of a cell from a glycolysis-dominated state to a fatty acid utilization state (31, 32). In colonic biopsies from IBD patients, the expression of PD-L1 on intestinal epithelial cells was upregulated to suppress inflammation (33). Meanwhile, the presence of PD-1+ T cells was negatively correlated with disease severity (34), and initial testing of PD-L1 treatment showed efficacy in suppressing disease (35). However, the stimulation of PD-1 by PD-L1 does not activate this switch or attenuate the inflammatory phenotype within NLRX1−/− cells. The activation of AMPK is among the pathways affected by PD-1 signaling and is a well-described factor in the control of cellular metabolic flexibility (32, 36, 37). When AMPK is directly stimulated by metformin, the metabolic and immunologic differences between WT and NLRX1−/− T cells are abrogated, suggesting that NLRX1 may be a critical element in the linkage between PD-1 and AMPK signaling. In addition to metabolic contributions, PD-1 and other immune checkpoint signaling contributes to the development of regulatory and memory cell types (3840). Although the deficiency of NLRX1 in Tregs does not impair their function or abundance, the impaired responsiveness to PD-L1 treatment leads to lower levels of iTregs in Th17-differentiating media. We propose that PD-1 signaling may be important in the known plasticity between Th17 cells and iTregs, and the lack of NLRX1 could contribute to the flexibility of cell phenotype, as well as metabolism. The effect of NLRX1 on memory T cell development was not explored but could contribute to the increased reactivity to native commensal bacteria, a known factor in the progression of IBD.

The loss of NLRX1 selectively influences the differentiation and behavior of effector CD4+ T cells. When transferred, NLRX1−/− Tregs retained equal regulatory effects on disease severity, histopathological markers, and expansion of effector populations as their WT counterparts. Importantly, the regulation of metabolism differs in thymus-derived or nTregs and peripheral or iTregs (22). iTregs are dependent on a switch to lipid metabolism, whereas nTregs are balanced in their substrate utilization. Due to a decreased need for metabolic reprogramming, the development of nTregs may be unaffected metabolically by the loss of NLRX1. However, the metabolic switch–dependent iTregs are more likely affected by the loss of NLRX1, particularly with regard to plasticity compared with the Th17 phenotype. In the mixed adoptive transfer, the sorting of already committed Tregs may negate some of the assumed differences in dynamic and flexible Treg commitment resulting from the deficiency of NLRX1. Similarly, in vitro, the differences between WT and NLRX1−/− Tregs do not result from a de novo differentiation but rather as a result of the persistence and greater abundance of the Treg phenotype in inflammatory and PD-1–induced conditions.

In contrast to Tregs, effector CD4+ T cells have an established preference for energy production through the LDH pathway (21). Therefore, the increase in LDH activity in in vitro–differentiated T cells and colonic isolated T cells during peak disease in the absence of NLRX1 is notable. Importantly, the inhibition of LDH abrogates the increased proliferation and Th17 differentiation differences in NLRX1−/− cells, implying that the activation of LDH activity may not only be a characteristic of effector CD4+ T cells but also a contributing factor in their differentiation. Additionally, NLRX1−/− T cells had a higher rate of incomplete fatty acid oxidation. Rather than being an indicator of oxidative phosphorylation as complete fatty acid oxidation would be, higher rates of incomplete fatty acid oxidation were linked to mitochondrial overload (41) and dysregulated metabolic pathways (42). Although the effect of NLRX1 on LDH may be through multiple mechanisms, a potential contributor is the effect of NLRX1 on ROS production. Previously, NLRX1 was shown to be crucial in the production of ROS (9, 43). The loss of NLRX1 may not allow a cell to correctly sense the oxygen environment or the ROS concentration within the cell, promoting the utilization of both oxidative and anaerobic metabolic pathways in all conditions. The inability to switch metabolic pathways to influence ROS levels may also affect the ability of a cell to respond to canonical death pathways, such as TNF-mediated death, to which NLRX1 was shown to contribute (43).

With the suggestion that an alteration in oxygen sensing may be involved, HIF1α may be implicated downstream of NLRX1 signaling (44). Activation of HIF1α was linked to an increase in LDH activity, as well as to an increase in Th17 differentiation through the activation of IL-23R and RORγt and the inhibition of FOXP3 (4547). HIF1α is an important transcription factor controlling effector CD4+ T cell differentiation and cytokine production. The loss of NLRX1 leads to increased HIF1α expression, and culture of NLRX1−/− CD4+ T cells in microaerophilic conditions further increases the magnitude of the difference between WT and NLRX1−/− Th17 differentiation. HIF1α is activated by MITF, whereas sumoylation by RanBP2 decreases its transcriptional activity (48, 49). Regulated by ROS production, RanBP2 is also important for the entry of virus into the nucleus, potentially an additional mechanism by which NLRX1 contributes to viral susceptibility (5, 50).

NLRX1 was linked to viral susceptibility and other disease models, such as experimental autoimmune encephalomyelitis and cancer (1, 10, 51). Although these previous studies focused largely on the role of NLRX1 in innate immune cells, neurons, and tumor cells, we provide evidence that NLRX1 is important in the metabolic and proliferative control of effector CD4+ T cells. The involvement of effector CD4+ T cells in IBD has been well characterized from the increased number, the resistance to apoptosis, and the spontaneous reaction to the commensal microflora (5254). The evidence provided from multiple models of IBD suggests that NLRX1 joins several other members of the NLR family in the pathogenesis of IBD. Further, the contribution of NLRX1 to effector T cell differentiation merits study in other T cell immune-mediated diseases.

In conclusion, the loss of NLRX1 in T cells promotes increased metabolic activity and a preference for LDH activity. The metabolic preferences are combined with a decreased sensitivity to immunosuppressive checkpoint pathways to provide greater proliferative capabilities and an inflammatory phenotype bias. The immunometabolic dysregulation caused by the loss of NLRX1 may exacerbate disease severity and gut pathology in DSS-induced, adoptive-transfer, and C. rodentium models of IBD. The contribution of NLRX1 deficiency to worsened disease suggests that further work on mechanisms of NLRX1 activation may provide useful therapeutic advances in IBD and other T cell immune-mediated diseases.

This work was supported by National Institute of Allergy and Infectious Diseases Contract HHSN272201000056C (to J.B.-R.) and funds from the Nutritional Immunology and Molecular Medicine Laboratory.

The online version of this article contains supplemental material.

Abbreviations used in this article:

AMPK

AMP-activated protein kinase

2DG

2-deoxy-d-glucose

DSS

dextran sodium sulfate

FCCP

carbonyl cyanide-4-phenylhydrazone

IBD

inflammatory bowel disease

iTreg

induced Treg

LDH

lactate dehydrogenase

NLRX1

nucleotide oligomerization domain–like receptor X1

nTreg

natural regulatory T cell

ROS

reactive oxygen species

Tfh

T follicular helper

Tr1

type 1 Treg

WT

wild-type.

1
Coutermarsh-Ott
S.
,
Simmons
A.
,
Capria
V.
,
LeRoith
T.
,
Wilson
J. E.
,
Heid
B.
,
Philipson
C. W.
,
Qin
Q.
,
Hontecillas-Magarzo
R.
,
Bassaganya-Riera
J.
, et al
.
2016
.
NLRX1 suppresses tumorigenesis and attenuates histiocytic sarcoma through the negative regulation of NF-κB signaling.
Oncotarget
7
:
33096
33110
.
2
Moore
C. B.
,
Bergstralh
D. T.
,
Duncan
J. A.
,
Lei
Y.
,
Morrison
T. E.
,
Zimmermann
A. G.
,
Accavitti-Loper
M. A.
,
Madden
V. J.
,
Sun
L.
,
Ye
Z.
, et al
.
2008
.
NLRX1 is a regulator of mitochondrial antiviral immunity.
Nature
451
:
573
577
.
3
Philipson
C. W.
,
Bassaganya-Riera
J.
,
Viladomiu
M.
,
Kronsteiner
B.
,
Abedi
V.
,
Hoops
S.
,
Michalak
P.
,
Kang
L.
,
Girardin
S. E.
,
Hontecillas
R.
.
2015
.
Modeling the regulatory mechanisms by which NLRX1 modulates innate immune responses to Helicobacter pylori infection.
PLoS One
10
:
e0137839
.
4
Allen
I. C.
,
Moore
C. B.
,
Schneider
M.
,
Lei
Y.
,
Davis
B. K.
,
Scull
M. A.
,
Gris
D.
,
Roney
K. E.
,
Zimmermann
A. G.
,
Bowzard
J. B.
, et al
.
2011
.
NLRX1 protein attenuates inflammatory responses to infection by interfering with the RIG-I–MAVS and TRAF6–NF-κB signaling pathways.
Immunity
34
:
854
865
.
5
Guo
H.
,
König
R.
,
Deng
M.
,
Riess
M.
,
Mo
J.
,
Zhang
L.
,
Petrucelli
A.
,
Yoh
S. M.
,
Barefoot
B.
,
Samo
M.
, et al
.
2016
.
NLRX1 sequesters STING to negatively regulate the interferon response, thereby facilitating the replication of HIV-1 and DNA viruses.
Cell Host Microbe
19
:
515
528
.
6
Jaworska
J.
,
Coulombe
F.
,
Downey
J.
,
Tzelepis
F.
,
Shalaby
K.
,
Tattoli
I.
,
Berube
J.
,
Rousseau
S.
,
Martin
J. G.
,
Girardin
S. E.
, et al
.
2014
.
NLRX1 prevents mitochondrial induced apoptosis and enhances macrophage antiviral immunity by interacting with influenza virus PB1-F2 protein.
Proc. Natl. Acad. Sci. USA
111
:
E2110
E2119
.
7
Xia
X.
,
Cui
J.
,
Wang
H. Y.
,
Zhu
L.
,
Matsueda
S.
,
Wang
Q.
,
Yang
X.
,
Hong
J.
,
Songyang
Z.
,
Chen
Z. J.
,
Wang
R. F.
.
2011
.
NLRX1 negatively regulates TLR-induced NF-κB signaling by targeting TRAF6 and IKK.
Immunity
34
:
843
853
.
8
Koblansky
A. A.
,
Truax
A. D.
,
Liu
R.
,
Montgomery
S. A.
,
Ding
S.
,
Wilson
J. E.
,
Brickey
W. J.
,
Mühlbauer
M.
,
McFadden
R. M.
,
Hu
P.
, et al
.
2016
.
The innate immune receptor NLRX1 functions as a tumor suppressor by reducing colon tumorigenesis and key tumor-promoting signals.
Cell Rep.
14
:
2562
2575
.
9
Tattoli
I.
,
Carneiro
L. A.
,
Jéhanno
M.
,
Magalhaes
J. G.
,
Shu
Y.
,
Philpott
D. J.
,
Arnoult
D.
,
Girardin
S. E.
.
2008
.
NLRX1 is a mitochondrial NOD-like receptor that amplifies NF-kappaB and JNK pathways by inducing reactive oxygen species production.
EMBO Rep.
9
:
293
300
.
10
Tattoli
I.
,
Killackey
S. A.
,
Foerster
E. G.
,
Molinaro
R.
,
Maisonneuve
C.
,
Rahman
M. A.
,
Winer
S.
,
Winer
D. A.
,
Streutker
C. J.
,
Philpott
D. J.
,
Girardin
S. E.
.
2016
.
NLRX1 acts as an epithelial-intrinsic tumor suppressor through the modulation of TNF-mediated proliferation.
Cell Rep.
14
:
2576
2586
.
11
Belkaid
Y.
,
Rouse
B. T.
.
2005
.
Natural regulatory T cells in infectious disease.
Nat. Immunol.
6
:
353
360
.
12
Carbo
A.
,
Hontecillas
R.
,
Kronsteiner
B.
,
Viladomiu
M.
,
Pedragosa
M.
,
Lu
P.
,
Philipson
C. W.
,
Hoops
S.
,
Marathe
M.
,
Eubank
S.
, et al
.
2013
.
Systems modeling of molecular mechanisms controlling cytokine-driven CD4+ T cell differentiation and phenotype plasticity.
PLoS Comput. Biol.
9
:
e1003027
.
13
Khader
S. A.
,
Gaffen
S. L.
,
Kolls
J. K.
.
2009
.
Th17 cells at the crossroads of innate and adaptive immunity against infectious diseases at the mucosa.
Mucosal Immunol.
2
:
403
411
.
14
Tlaskalová-Hogenová
H.
,
Stepánková
R.
,
Hudcovic
T.
,
Tucková
L.
,
Cukrowska
B.
,
Lodinová-Zádníková
R.
,
Kozáková
H.
,
Rossmann
P.
,
Bártová
J.
,
Sokol
D.
, et al
.
2004
.
Commensal bacteria (normal microflora), mucosal immunity and chronic inflammatory and autoimmune diseases.
Immunol. Lett.
93
:
97
108
.
15
Bettelli
E.
,
Carrier
Y.
,
Gao
W.
,
Korn
T.
,
Strom
T. B.
,
Oukka
M.
,
Weiner
H. L.
,
Kuchroo
V. K.
.
2006
.
Reciprocal developmental pathways for the generation of pathogenic effector TH17 and regulatory T cells.
Nature
441
:
235
238
.
16
Constant
S.
,
Pfeiffer
C.
,
Woodard
A.
,
Pasqualini
T.
,
Bottomly
K.
.
1995
.
Extent of T cell receptor ligation can determine the functional differentiation of naive CD4+ T cells.
J. Exp. Med.
182
:
1591
1596
.
17
Stoll
S.
,
Delon
J.
,
Brotz
T. M.
,
Germain
R. N.
.
2002
.
Dynamic imaging of T cell–dendritic cell interactions in lymph nodes.
Science
296
:
1873
1876
.
18
Leber
A.
,
Abedi
V.
,
Hontecillas
R.
,
Viladomiu
M.
,
Hoops
S.
,
Ciupe
S.
,
Caughman
J.
,
Andrew
T.
,
Bassaganya-Riera
J.
.
2016
.
Bistability analyses of CD4+ T follicular helper and regulatory cells during Helicobacter pylori infection.
J. Theor. Biol.
398
:
74
84
.
19
Fox
C. J.
,
Hammerman
P. S.
,
Thompson
C. B.
.
2005
.
Fuel feeds function: energy metabolism and the T-cell response.
Nat. Rev. Immunol.
5
:
844
852
.
20
Macintyre
A. N.
,
Gerriets
V. A.
,
Nichols
A. G.
,
Michalek
R. D.
,
Rudolph
M. C.
,
Deoliveira
D.
,
Anderson
S. M.
,
Abel
E. D.
,
Chen
B. J.
,
Hale
L. P.
,
Rathmell
J. C.
.
2014
.
The glucose transporter Glut1 is selectively essential for CD4 T cell activation and effector function.
Cell Metab.
20
:
61
72
.
21
Michalek
R. D.
,
Gerriets
V. A.
,
Jacobs
S. R.
,
Macintyre
A. N.
,
MacIver
N. J.
,
Mason
E. F.
,
Sullivan
S. A.
,
Nichols
A. G.
,
Rathmell
J. C.
.
2011
.
Cutting edge: distinct glycolytic and lipid oxidative metabolic programs are essential for effector and regulatory CD4+ T cell subsets.
J. Immunol.
186
:
3299
3303
.
22
Newton
R.
,
Priyadharshini
B.
,
Turka
L. A.
.
2016
.
Immunometabolism of regulatory T cells.
Nat. Immunol.
17
:
618
625
.
23
Anderson
A. C.
,
Joller
N.
,
Kuchroo
V. K.
.
2016
.
Lag-3, Tim-3, and TIGIT: co-inhibitory receptors with specialized functions in immune regulation.
Immunity
44
:
989
1004
.
24
Gianchecchi
E.
,
Delfino
D. V.
,
Fierabracci
A.
.
2013
.
Recent insights into the role of the PD-1/PD-L1 pathway in immunological tolerance and autoimmunity.
Autoimmun. Rev.
12
:
1091
1100
.
25
Ueda
H.
,
Howson
J. M.
,
Esposito
L.
,
Heward
J.
,
Snook
H.
,
Chamberlain
G.
,
Rainbow
D. B.
,
Hunter
K. M.
,
Smith
A. N.
,
Di Genova
G.
, et al
.
2003
.
Association of the T-cell regulatory gene CTLA4 with susceptibility to autoimmune disease.
Nature
423
:
506
511
.
26
Mueller
D. L.
2010
.
Mechanisms maintaining peripheral tolerance.
Nat. Immunol.
11
:
21
27
.
27
Nirschl
C. J.
,
Drake
C. G.
.
2013
.
Molecular pathways: coexpression of immune checkpoint molecules: signaling pathways and implications for cancer immunotherapy.
Clin. Cancer Res.
19
:
4917
4924
.
28
Okazaki
T.
,
Okazaki
I. M.
,
Wang
J.
,
Sugiura
D.
,
Nakaki
F.
,
Yoshida
T.
,
Kato
Y.
,
Fagarasan
S.
,
Muramatsu
M.
,
Eto
T.
, et al
.
2011
.
PD-1 and LAG-3 inhibitory co-receptors act synergistically to prevent autoimmunity in mice.
J. Exp. Med.
208
:
395
407
.
29
Sartor
R. B.
2006
.
Mechanisms of disease: pathogenesis of Crohn’s disease and ulcerative colitis.
Nat. Clin. Pract. Gastroenterol. Hepatol.
3
:
390
407
.
30
Frisard
M. I.
,
McMillan
R. P.
,
Marchand
J.
,
Wahlberg
K. A.
,
Wu
Y.
,
Voelker
K. A.
,
Heilbronn
L.
,
Haynie
K.
,
Muoio
B.
,
Li
L.
,
Hulver
M. W.
.
2010
.
Toll-like receptor 4 modulates skeletal muscle substrate metabolism.
Am. J. Physiol. Endocrinol. Metab.
298
:
E988
E998
.
31
Parry
R. V.
,
Chemnitz
J. M.
,
Frauwirth
K. A.
,
Lanfranco
A. R.
,
Braunstein
I.
,
Kobayashi
S. V.
,
Linsley
P. S.
,
Thompson
C. B.
,
Riley
J. L.
.
2005
.
CTLA-4 and PD-1 receptors inhibit T-cell activation by distinct mechanisms.
Mol. Cell. Biol.
25
:
9543
9553
.
32
Patsoukis
N.
,
Bardhan
K.
,
Chatterjee
P.
,
Sari
D.
,
Liu
B.
,
Bell
L. N.
,
Karoly
E. D.
,
Freeman
G. J.
,
Petkova
V.
,
Seth
P.
, et al
.
2015
.
PD-1 alters T-cell metabolic reprogramming by inhibiting glycolysis and promoting lipolysis and fatty acid oxidation.
Nat. Commun.
6
:
6692
.
33
Nakazawa
A.
,
Dotan
I.
,
Brimnes
J.
,
Allez
M.
,
Shao
L.
,
Tsushima
F.
,
Azuma
M.
,
Mayer
L.
.
2004
.
The expression and function of costimulatory molecules B7H and B7-H1 on colonic epithelial cells.
Gastroenterology
126
:
1347
1357
.
34
Totsuka
T.
,
Kanai
T.
,
Makita
S.
,
Fujii
R.
,
Nemoto
Y.
,
Oshima
S.
,
Okamoto
R.
,
Koyanagi
A.
,
Akiba
H.
,
Okumura
K.
, et al
.
2005
.
Regulation of murine chronic colitis by CD4+CD25− programmed death-1+ T cells.
Eur. J. Immunol.
35
:
1773
1785
.
35
Song
M. Y.
,
Hong
C. P.
,
Park
S. J.
,
Kim
J. H.
,
Yang
B. G.
,
Park
Y.
,
Kim
S. W.
,
Kim
K. S.
,
Lee
J. Y.
,
Lee
S. W.
, et al
.
2015
.
Protective effects of Fc-fused PD-L1 on two different animal models of colitis.
Gut
64
:
260
271
.
36
Boussiotis
V. A.
,
Chatterjee
P.
,
Li
L.
.
2014
.
Biochemical signaling of PD-1 on T cells and its functional implications.
Cancer J.
20
:
265
271
.
37
Cantó
C.
,
Gerhart-Hines
Z.
,
Feige
J. N.
,
Lagouge
M.
,
Noriega
L.
,
Milne
J. C.
,
Elliott
P. J.
,
Puigserver
P.
,
Auwerx
J.
.
2009
.
AMPK regulates energy expenditure by modulating NAD+ metabolism and SIRT1 activity.
Nature
458
:
1056
1060
.
38
Cedeno-Laurent
F.
,
Opperman
M.
,
Barthel
S. R.
,
Kuchroo
V. K.
,
Dimitroff
C. J.
.
2012
.
Galectin-1 triggers an immunoregulatory signature in Th cells functionally defined by IL-10 expression.
J. Immunol.
188
:
3127
3137
.
39
Francisco
L. M.
,
Sage
P. T.
,
Sharpe
A. H.
.
2010
.
The PD-1 pathway in tolerance and autoimmunity.
Immunol. Rev.
236
:
219
242
.
40
Locci
M.
,
Havenar-Daughton
C.
,
Landais
E.
,
Wu
J.
,
Kroenke
M. A.
,
Arlehamn
C. L.
,
Su
L. F.
,
Cubas
R.
,
Davis
M. M.
,
Sette
A.
, et al
International AIDS Vaccine Initiative Protocol C Principal Investigators
.
2013
.
Human circulating PD-1+CXCR3−CXCR5+ memory Tfh cells are highly functional and correlate with broadly neutralizing HIV antibody responses.
Immunity
39
:
758
769
.
41
Koves
T. R.
,
Ussher
J. R.
,
Noland
R. C.
,
Slentz
D.
,
Mosedale
M.
,
Ilkayeva
O.
,
Bain
J.
,
Stevens
R.
,
Dyck
J. R.
,
Newgard
C. B.
, et al
.
2008
.
Mitochondrial overload and incomplete fatty acid oxidation contribute to skeletal muscle insulin resistance.
Cell Metab.
7
:
45
56
.
42
Adams
S. H.
,
Hoppel
C. L.
,
Lok
K. H.
,
Zhao
L.
,
Wong
S. W.
,
Minkler
P. E.
,
Hwang
D. H.
,
Newman
J. W.
,
Garvey
W. T.
.
2009
.
Plasma acylcarnitine profiles suggest incomplete long-chain fatty acid beta-oxidation and altered tricarboxylic acid cycle activity in type 2 diabetic African-American women.
J. Nutr.
139
:
1073
1081
.
43
Imbeault
E.
,
Mahvelati
T. M.
,
Braun
R.
,
Gris
P.
,
Gris
D.
.
2014
.
Nlrx1 regulates neuronal cell death.
Mol. Brain
7
:
90
.
44
McNamee
E. N.
,
Korns Johnson
D.
,
Homann
D.
,
Clambey
E. T.
.
2013
.
Hypoxia and hypoxia-inducible factors as regulators of T cell development, differentiation, and function.
Immunol. Res.
55
:
58
70
.
45
Dang
E. V.
,
Barbi
J.
,
Yang
H. Y.
,
Jinasena
D.
,
Yu
H.
,
Zheng
Y.
,
Bordman
Z.
,
Fu
J.
,
Kim
Y.
,
Yen
H. R.
, et al
.
2011
.
Control of T(H)17/T(reg) balance by hypoxia-inducible factor 1.
Cell
146
:
772
784
.
46
Wang
H.
,
Flach
H.
,
Onizawa
M.
,
Wei
L.
,
McManus
M. T.
,
Weiss
A.
.
2014
.
Negative regulation of Hif1a expression and TH17 differentiation by the hypoxia-regulated microRNA miR-210.
Nat. Immunol.
15
:
393
401
.
47
Xu
Y.
,
Chaudhury
A.
,
Zhang
M.
,
Savoldo
B.
,
Metelitsa
L. S.
,
Rodgers
J.
,
Yustein
J. T.
,
Neilson
J. R.
,
Dotti
G.
.
2016
.
Glycolysis determines dichotomous regulation of T cell subsets in hypoxia.
J. Clin. Invest.
126
:
2678
2688
.
48
Berta
M. A.
,
Mazure
N.
,
Hattab
M.
,
Pouysségur
J.
,
Brahimi-Horn
M. C.
.
2007
.
SUMOylation of hypoxia-inducible factor-1alpha reduces its transcriptional activity.
Biochem. Biophys. Res. Commun.
360
:
646
652
.
49
Ohh
M.
2012
.
Tumor strengths and frailties: cancer SUMmOns Otto’s metabolism.
Nat. Med.
18
:
30
31
.
50
Zhang
R.
,
Mehla
R.
,
Chauhan
A.
.
2010
.
Perturbation of host nuclear membrane component RanBP2 impairs the nuclear import of human immunodeficiency virus -1 preintegration complex (DNA).
PLoS One
5
:
e15620
.
51
Eitas
T. K.
,
Chou
W. C.
,
Wen
H.
,
Gris
D.
,
Robbins
G. R.
,
Brickey
J.
,
Oyama
Y.
,
Ting
J. P.
.
2014
.
The nucleotide-binding leucine-rich repeat (NLR) family member NLRX1 mediates protection against experimental autoimmune encephalomyelitis and represses macrophage/microglia-induced inflammation.
J. Biol. Chem.
289
:
4173
4179
.
52
Ina
K.
,
Itoh
J.
,
Fukushima
K.
,
Kusugami
K.
,
Yamaguchi
T.
,
Kyokane
K.
,
Imada
A.
,
Binion
D. G.
,
Musso
A.
,
West
G. A.
, et al
.
1999
.
Resistance of Crohn’s disease T cells to multiple apoptotic signals is associated with a Bcl-2/Bax mucosal imbalance.
J. Immunol.
163
:
1081
1090
.
53
Jostins
L.
,
Ripke
S.
,
Weersma
R. K.
,
Duerr
R. H.
,
McGovern
D. P.
,
Hui
K. Y.
,
Lee
J. C.
,
Schumm
L. P.
,
Sharma
Y.
,
Anderson
C. A.
, et al
International IBD Genetics Consortium (IIBDGC)
.
2012
.
Host-microbe interactions have shaped the genetic architecture of inflammatory bowel disease.
Nature
491
:
119
124
.
54
Seiderer
J.
,
Elben
I.
,
Diegelmann
J.
,
Glas
J.
,
Stallhofer
J.
,
Tillack
C.
,
Pfennig
S.
,
Jürgens
M.
,
Schmechel
S.
,
Konrad
A.
, et al
.
2008
.
Role of the novel Th17 cytokine IL-17F in inflammatory bowel disease (IBD): upregulated colonic IL-17F expression in active Crohn’s disease and analysis of the IL17F p.His161Arg polymorphism in IBD.
Inflamm. Bowel Dis.
14
:
437
445
.

The authors have no financial conflicts of interest.

Supplementary data