Abstract
Activated CD4 T cells proliferate rapidly and remodel epigenetically before exiting the cell cycle and engaging acquired effector functions. Metabolic reprograming from the naïve-state is required throughout these phases of activation1. In CD4 T cells, T cell receptor (TCR) ligation, along with co-stimulatory and cytokine signals induce a glycolytic anabolic program required for biomass generation, rapid proliferation, and effector function2. CD4 T cell differentiation (proliferation and epigenetic remodeling) and function are coordinately orchestrated by signal transduction and transcriptional remodeling. However, it remains unclear whether these processes are independently regulated by cellular biochemical composition. Here we demonstrate that distinct modes of mitochondrial metabolism support T helper 1 (Th1) cell differentiation and effector function, biochemically uncoupling these processes. We find that the TCA cycle is required for terminal Th1 cell effector function through succinate dehydrogenase (SDH; Complex II), yet the activity of SDH suppresses Th1 cell proliferation and histone acetylation. In contrast, we show that Complex I of the electron transport chain (ETC), the malate-aspartate shuttle, and citrate export from the mitochondria are required to maintain aspartate synthesis necessary for Th cell proliferation. Furthermore, we find that mitochondrial citrate export and malate-aspartate shuttle promote histone acetylation and specifically regulate the expression of genes involved in T cell activation. Combining genetic, pharmacological, and metabolomics approaches, we demonstrate that T helper cell differentiation and terminal effector function can be biochemically uncoupled. These findings support a model in which the malate-aspartate shuttle, citrate export, and Complex I supply the substrates needed for proliferation and epigenetic remodeling during early T cell activation, while Complex II consumes the substrates of these pathways, antagonizing differentiation and enforcing terminal effector function. Our data suggest that transcriptional programming works in concert with a parallel biochemical network to enforce cell state.
T cells require mitochondrial metabolism as they exit from the naïve cell state to become activated and as they return to resting memory cells, however the role of mitochondrial metabolism during effector T cell differentiation and function is less well understood3–5. Metabolite tracing studies have revealed that while activated T cells use glutamine for anaplerosis of α-ketoglutarate, activated cells decrease the rate of pyruvate entry into the mitochondria in favor of lactate fermentation5,6. Despite the decreased utilization of glucose-derived carbon for mitochondrial metabolism, the tricarboxylic acid (TCA) cycle has previously been shown to contribute to IFNγ production by elevating cytosolic acetyl-CoA pools via mitochondrial citrate export7. Additionally, the TCA cycle can also contribute to the electron transport chain (ETC) by generating NADH and succinate to fuel Complex I and II, respectively, yet the role of the ETC in later stages of T cell activation is poorly characterized. To test the contribution of the TCA cycle to effector T cell function, we treated Th1 cultured cells with the TCA cycle inhibitor sodium fluoroacetate (NaFlAc)8. We titrated NaFlAc or the glycolysis inhibitor 2-deoxy-D-glucose (2DG), an inhibitor of Th1 cell activation as a positive control, at day 1 of T cell culture and assayed cell proliferation at day 3 or Ifng-Katushka reporter expression at day 5. While 2DG was more potent at lower doses, both inhibitors impaired Ifng transcription (Fig. 1a) and T cell proliferation (Fig. 1b) in a dose-dependent manner, suggesting that the activity of TCA cycle enzymes is required for optimal Th1 cell activation.
To evaluate which processes downstream of the TCA cycle contributed to its role in Th cell proliferation and function, we treated Th1 cells with inhibitors of the ETC overnight on day 2 to evaluate proliferation or overnight on day 4 to evaluate cytokine production, and analyzed cells the following day. Unlike impairing glycolysis with 2DG or the TCA cycle with NaFlAc, which resulted in a block of both proliferation and function, we observed a dichotomy in the role of the ETC in supporting each of these processes. Although inhibition of Complex II failed to impair proliferation, blocking Complex I and III resulted in a decrease in the number of divided cells, with oligomycin treatment displaying a modest but significant effect (Fig. 1c). Importantly, viability was not affected upon acute inhibition of ETC complexes (Extended Data Fig. 1a). Consistent with this observation, day 2 treatment with rotenone or antimycin A resulted in cell cycle arrest at G2/M, whereas treatment with DMM or oligomycin did not alter cell cycle status (Extended Data Fig. 1b). Similar to Th1 cultured cells, cells cultured in Th2 or Th17 conditions displayed defects in proliferation and an altered cell cycle when treated with rotenone (Extended Data Fig. 2a, b, e, & f), suggesting Complex I supports cell division regardless of the cytokine environment.
Further illustrating distinct roles for Complex I and Complex II in Th cell proliferation and function, we observed that the Acly inhibitor BMS-303141 significantly decreased IFNγ production, in line with previous work7, while the effect of inhibition of Complex I or ATP-synthase with rotenone or oligomycin, respectively, was not significant. In contrast, impairing Complex II activity with dimethyl malonate (DMM) or Complex III activity with antimycin A significantly reduced IFNγ production below that observed with the Acly inhibitor BMS-303141 (Fig. 1d). Together, these observations suggest that the TCA cycle supports Th1 function by both enabling cytosolic acetyl-CoA production and fueling an SDH-driven ETC. This role for the ETC was specific to the Th cytokine culture conditions to which cells were exposed during activation. Unlike Th1 cells, inhibiting the ETC had minimal impact on Th2 effector function, with Complex I and III inhibition resulting in a slight but significant increase in IL-4 reporter activity, whereas Th17 cells displayed sensitivity to both Complex I and II inhibition (Extended Data Fig. 2c, d). These data indicate that the ETC has Th cell program-specific roles in regulating effector function.
To corroborate the effects of DMM on Th1 cell function, we tested the capacity of three other Complex II inhibitors, 3-Nitropropionic acid (3NP), thenoyltrifluoroacetone (TTFA), and atpenin-A5 to inhibit IFNγ production in Th1 cells. Each drug impaired Complex II activity as assayed by cellular succinate accumulation (Extended Data Fig. 3a). Consistent with our results for DMM treatment, Th1 cells treated with 3NP, TTFA, or Atpenin-A5 produced significantly less IFNγ than control cells (Fig. 2a). In keeping with a role for the TCA cycle and Complex II in promoting Th1 function, cells cultured overnight with a membrane-permeable form of succinate, diethyl succinate (DES) produced more IFNγ (Extended Data Fig. 3b). To genetically test the requirement of Complex II activity in Th1 cells, we generated a retroviral sgRNA expression vector, MG-Guide, compatible with murine T cell transduction (Extended Data Fig. 4a, b). To validate the system, we transduced CD4 T cells with sgRNA and observed rapid loss of protein expression, with sgRNAs targeting either Tbx21 or Il12rb1, genes essential for Th1 cell cytokine production, leading to a decrease in IFNγ production capacity (Extended Data Fig. 4c, d, e, & f; Supplementary Table 1). Transduction of Th1 cells with a sgRNA targeting Sdha, the catalytic subunit of complex II, impaired IFNγ production capacity (Extended Data Fig. 3c). To provide further genetic evidence that Complex II activity is required for Th1 cell function, we tested the requirement for Sdhc, which encodes an essential subunit of Complex II. We cultured CD4 T cells isolated from Sdhcfl/fl TetO-Cre−/+ R26rtTA/+ (Sdhc cKO) or Sdhc+/+ TetO-Cre−/+ R26rtTA/+ control (WT) mice that had been treated in vivo with doxycycline for 10 days in Th1 conditions. Unbiased mass-spectrometry analysis of metabolites in WT and Sdhc cKO Th1 cells revealed that Sdhc cKO cells had increased cellular succinate and α-ketoglutarate, confirming loss of SDH activity (Extended Data Fig. 3d, e). Consistent with our drug and sgRNA studies, Sdhc cKO cells produced significantly less IFNγ at day 5 post activation (Fig. 2b). However, Sdhc cKO Th1 cells proliferated significantly more than WT controls, suggesting proliferation and effector function are processes uncoupled by Complex II activity (Fig. 2c). To test whether other processes involved in Th cell differentiation were affected in addition to proliferation, we assayed the effect of SDH deficiency on histone acetylation. We found that Sdhc cKO cells exhibited elevated H3K9 acetylation and that DMM treatment as well as delivery of Sdha targeting sgRNA enhanced H3K9 and K27 acetylation, suggesting that Complex II antagonizes Th cell differentiation by negatively regulating both proliferation and histone acetylation (Fig. 2d and Extended Data Fig. 5a, b, c).
To test the role of Complex II in promoting other aspects of the Th1 cell functional program, we evaluated Tbet protein expression in day 5 Sdhc cKO and WT cells. Consistent with defects in IFNγ production, Th1 cells from Sdhc cKO mice had reduced Tbet protein expression (Fig. 2e). To further investigate a role for Complex II in supporting the Th1 functional program, we performed RNA-seq on day 5 effector Th1 cells from Sdhc cKO and WT mice. In line with a decrease in Tbet expression, Th1 cells from Complex II deficient animals exhibited significantly decreased expression of genes key to the Th1 cell program and genes important during Th cell activation. Notably, DAVID gene ontology (GO) pathway analysis indicated “cytokine production” and “regulation of lymphocyte proliferation” as the most dysregulated pathways (Fig. 2f, g; Extended Data Fig. 5d, e; Supplementary Table 2). These data indicate that SDH activity is a primary mechanism through which mitochondrial metabolism supports Th1 cell functional programming.
We next sought to investigate which aspects of mitochondrial metabolism SDH antagonizes to constrain proliferation. The consumption of α-ketoglutarate is known to modulate the activity of mitochondrial shuttling systems required to maintain the cellular redox balance and the production of key cytosolic metabolites9–11. The malate-aspartate shuttle and mitochondrial citrate export are two such systems that regulate the exchange of NADH/NAD+ and acetyl-CoA between the cytosol and mitochondria, respectively. Based on our data that Sdhc cKO Th1 cells exhibit increased proliferation (Fig. 2c) and increased cellular α-ketoglutarate levels (Extended Data Fig. 3e), we hypothesized that these mitochondrial transport systems promote early Th1 cell proliferation.
To test the requirement of these transport systems for Th1 cell activation, we designed three sgRNAs per gene of interest and conducted individual sgRNA knockout experiments using MG-Guide, measuring IFNγ protein (Fig. 3a). We found that cells expressing sgRNAs targeting Mdh1, Mdh2, Slc25a11 and Slc1a3 produced less IFNγ protein, comparable with sgRNAs targeting a positive control gene Tbx21, as did two of the three sgRNAs designed to target Got1 and Got2, suggesting the malate-aspartate shuttle is critical during Th1 cell activation (Fig. 3b). In addition, we observed defective IFNγ production in Th1 cells expressing sgRNA against Cs, Slc25a1 and Acly, indicating that citrate synthesis and export for cytosolic acetyl-CoA production are also required (Fig. 3b).
Previous reports have suggested that Acly activity is required for Th1 cell histone acetylation and the ETC has been shown to support epigenetic remodeling7,12. To test the role of both shuttle systems during Th1 cell epigenetic remodeling, we evaluated total cellular H3K9 and H3K27 acetylation. We found that impairing Acly, Slc25a1, Mdh1, Slc25a11, and Slc1a3 results in decreased H3K9Ac and that acetate supplementation could compensate for these defects (Fig. 3c, d). In contrast, H3K27Ac was largely unaffected by targeting these genes, with the exception of Slc25a1; however, addition of acetate resulted in enhanced H3K27Ac regardless of the condition (Extended Data Fig. 6a). This effect of acetate on histone acetylation is largely explained by an increase in total H3 content, whereas the impact of the sgRNA on acetylation is only partially explained by changes in total histone mass (Extended Data Fig. 6b-d).
To evaluate the transcriptional effects of malate-aspartate shuttle deficiency, we performed RNA-seq on day 5 Th1 cells expressing sgRNA against either Slc25a1 or Slc25a11. Consistent with a role for the shuttles in promoting Th1 cell differentiation, we observed decreased expression of genes with known roles in T cell activation and Th1 cell programming. Targeting either transporter impaired expression of Il2rb, while loss of Slc25a1 impacted key T cell activation genes such as Nfatc1, Rela, and Mapk3, and disruption of Slc25a11 resulted in loss in expression of genes including Tbx21, Nfatc3, Ccnd2, and Myc (Fig. 3e & f; Extended Data Fig. 6e, f; Supplementary Table 3 and 4).
Given the importance of Il2rb, Myc, and Ccnd2 in Th cell division, we next evaluated the role of the shuttles in regulating Th cell proliferation. To test this, we evaluated cell division in Th1 cultured cells expressing sgRNA targeting Acly, Slc25a1, Mdh1, Slc25a11, Slc1a3. Relative to controls, targeting any of these genes resulted in modestly but significantly decreased proliferation (Extended Data Fig. 7). Collectively, these data demonstrate that the malate-aspartate shuttle and mitochondrial citrate export are required for Th1 cell proliferation and transcriptional remodeling.
To investigate the biochemical mechanism explaining these observations, we performed mass-spectrometry analysis of T cells transduced with guides targeting either Slc25a1 or Slc25a11 sgRNA. As expected, we found that disrupting citrate transport results in decreased cellular acetyl-CoA levels (Extended Data Fig. 8a-c). Unexpectedly, targeting Slc25a11 resulted in a decreased NADH/NAD+ ratio, suggesting that the activity of Complex I is a primary mechanism by which the cellular NADH/NAD+ balance is regulated in activated Th1 cells (Fig. 4a; Extended Data Fig. 8d, e). Moreover, targeting either shuttle system resulted in diminished levels of intermediates of the pentose phosphate pathway and of N-carbamoyl-L-aspartate, an essential precursor molecules for nucleotide synthesis (Fig. 4a and Extended Data Fig. 8b-c; 9a, b). Consistent with a role for the shuttling systems in providing mitochondrial NADH for the ETC, Seahorse analysis demonstrated that rates of basal and maximal oxygen consumption (OCR) were impaired upon expression of sgRNAs targeting either Mdh1, Slc25a11, or Slc1a3 (Fig. 4b). This was not substantially compensated for by increased glycolysis, as the extracellular acidification rate (ECAR) was minimally impacted (Fig. 4b).
Having observed that Complex I supports early Th cell proliferation and that the malate-aspartate shuttle fuels Complex I (Fig. 1c), we next sought to examine the biochemical mechanism by which Complex I promotes proliferation and performed mass-spectrometric analysis on rotenone treated cells. As expected, inhibiting Complex I elevated the NADH/NAD+ ratio and decreased the ATP/AMP ratio (Fig. 4c; Extended Data Fig. 9a, b). Rotenone treatment also led to decreased pools of cellular aspartate and N-carbamoyl-L-aspartate in these cells, similar to observations in cancer cell lines (Fig. 4d)13,14. To test if this aspartate synthesis deficiency contributed to the proliferative defects of rotenone treated cells, we supplemented rotenone treated cells with aspartate and evaluated cell division and cell cycle. Indeed, aspartate supplementation resulted in a significant recovery of cell proliferation and a partial release from the G2/M arrest after rotenone treatment (Fig. 4e; Extended Data Fig. 9c). Altogether, these data demonstrate that the regulation of Complex I by mitochondrial shuttling systems determines the cellular redox balance and cytosolic aspartate availability required for T cell proliferation.
Using approaches combining network-level genetic interrogation of metabolic pathways, pharmacology, transcriptomics, and metabolomics, we demonstrate how Th1 cells must meet the distinct metabolic demands of differentiation and function during the course of activation. To generate the substrates needed for proliferation and epigenetic remodeling, early activated Th cells fuel Complex I through the malate-aspartate shuttle and mitochondrial citrate export. Unlike the carbon neutral malate-aspartate shuttle, that exchanges malate for α-ketoglutarate, Complex II moves carbon forward in the TCA cycle, thereby restricting processes that support differentiation and promoting late-stage Th1 effector function, permitting cells to exit the cell cycle and adopt their terminal program (see graphical model in Extended Data Fig. 10). These findings illustrate how differentiation and terminal effector function, previously understood to be concordantly regulated by signal transduction, are controlled by distinct metabolic modules, elucidating how cell programming is governed by parallel transcriptional and biochemical networks.
Methods
T cell assays and sgRNA delivery.
CD4 T cells were isolated from constitutive Cas9-expressing (Cas9tg) B6 mice15, stimulated with anti-CD3 and anti-CD28 coated beads (Miltenyi T Cell Activation/Expansion Kit, mouse), and cultured in assay determined Th1 conditions (5 ng/ml IL-2, 2 ng/ml IL-12, 10 μg/ml anti-IL4). On day one post-activation, T cells were transduced with MG-guide retrovirus using spin transduction at 1200xg for 90 minutes at 37C. IFNγ cytokine was measured by adding Brefeldin A one hour after the addition of PMA (20 ng/ml) and ionomycin (20 ng/ml); four hours post-restimulation, cell were fixed, stained with anti-CD4 (Biolegend), anti-GFP (Millipore), and anti-IFNγ (Biolegend), and analyzed by flow cytometry. To assay for Ifng-katushka, IL-4-GFP, and IL-17-GFP expression, T cells from Ifng-Katushka16, 4GET (Jackson Labs, 004190), and IL-17-GFP (Jackson Labs, 018472) reporter mice were activated with PMA and ionomycin for four hours, stained with anti-CD4, and then analyzed by flow cytometry for reporter activity in GFP+ cells. Cell division was measure by labeling cells with CellTrace Violet (Thermo) prior to activation and evaluated for proliferation at day 3 post-activation; where indicated, inhibitors and metabolites were added to the media overnight on day 2 post-activation. Cell cycle status was determined by intracellular flow cytometry analysis of Ki67 and DAPI, day 3 post-activation; where indicated, inhibitors and metabolites were added to the media overnight on day 2 post-activation. Mitochondrial ROS was measured by flow cytometry in CD4 T cells by staining cells with MitoSOX Red mitochondrial superoxide indicator (Thermo) and anti-CD4 for 30 minutes at 37C in the presence of the indicated inhibitors. For all experiments using inhibitors or metabolite supplementation the following doses were used: 1 μM rotenone (Sigma), 10 mM dimethyl malonate (Sigma), 1 mM 3-nitropropionic acid (Sigma), 100 μM thenoyltrifluoroacetone (Sigma), 1 μM atpenin A5 (Cayman Chemical), 1 μM antimycin A (Sigma), 1 μM oligomycin (Sigma), 5mM diethyl succinate (Sigma), or 20mM aspartate. All mice required for this study were housed and maintained under specific-pathogen-free conditions in the animal facility of the Yale University School of Medicine, and all corresponding animal protocols were approved by the Institutional Animal Care and Use Committee (IACUC) of Yale University. This study was conducted in compliance with all relevant ethical regulations. All cells used for experimentation were harvested from male and female mice at 6–8 weeks of age.
MGguide vector generation, sgRNA cloning, and retroviral production.
MGguide was generated by removing the IRES element from MIGR1 (Addgene) by EcoRI and NotI digestion and adding the human U6 promoter and SV40 promoter from pMKO-GFP (Addgene) by Infusion assembly (Clonetech). To add the sgRNA cloning site, the vector was digested with AgeI and EcoRI and combined by Infusion assembly with an IDT Gene Block containing two BbsI restriction sites upstream of a scaffold RNA sequence and a U6 stop. To clone individual sgRNA, MG-guide was digested with BbsI and pairs of oligonucleotides (Sigma) with complimentary overhangs were annealed and ligated into the vector. For retroviral production, 1 μg of MGguide plasmid and 0.5 μg of EcoHelper plasmid was transfected into 500e3 HEK293T cells (source ATCC, identity unconfirmed, not mycoplasma tested) in a 6-well plate using X-tremeGENE 9 DNA Transfection Reagent (Roche) overnight. The media was then replaced, and virus collected 24hrs later. 1e6 isolated CD4 T cells were stimulated overnight, and spin transduced in the viral preparation with 1 μg/mL polybrene at 1200xg for 90 minutes at 37C.
RNA-seq analysis.
Raw reads from RNA-sequencing were aligned to the mouse genome mm10 with STAR 2.7.017, and gene expression levels were measured by HTSeq 0.11.1 [PMID: 25260700]. Subsequently, differential expression analysis between different groups was performed with DESeq218.
Seahorse analysis.
Analysis was performed on cells at D3, D4, and D5 post-activation. Cells were washed three times in complete Seahorse media (Seahorse Bioscience) with 10mM glucose, 1mM sodium pyruvate and 2mM glutamine. Cells were plated at 400e3 cells per well in a 96-well Seahorse assay plate pretreated with poly-D-lysine. Cells were equilibrated to 37C for 30 minutes prior to assay. Oxygen consumption rate (OCR; pMoles/min) and extracellular acidification rate (ECAR; mpH/min) were measured as indicated upon cell treatment with oligomycin (0.5 mM), FCCP (0.2 mM), rotenone (1 μM), dimethyl malonate (10mM), and Antimycin A (1 μM ) according to the manufacturer’s instructions.
Metabolome extraction.
Cells were seeded at 10e6 cells/mL and incubated for 4 hours in complete RPMI containing dialyzed FBS media. They were then transferred to 1.5mL tubes and pelleted (1min, 6000g, RT). Media was removed by aspiration and the cells were washed once with 500 μL of PBS. Metabolome extraction was performed by the addition of 50 μL of ice cold solvent (40:40:20 ACN:MeOH:H2O + 0.5%FA). After a 5-min incubation on ice, acid was neutralized by the addition of NH4HCO3. After centrifugation (15min, 16000g, 4 °C), the clean supernatant was transferred to a clean tube, frozen on dry ice and kept at −80 °C until LC-MS analysis19.
Succinate quantification.
10e6 cells WT CD4 T cells were activated under Th1 culture conditions. After 4 days, cells were replated into fresh media and cultured with either DMSO, 10 mM dimethyl malonate, 1 mM 3-nitropropionic acid, 100 μM thenoyltrifluoroacetone, or 1 μM atpenin A5 for 6 hours. Cells were then harvested, processed, and analyzed using the Succinate Assay Kit (Abcam) according to the manufacturer’s protocol.
LC-MS analysis.
Cell extracts were analyzed using a quadrupole-orbitrap mass spectrometer (Q Exactive, Thermo Fisher Scientific, San Jose, CA) coupled to hydrophilic interaction chromatography via electrospray ionization. LC separation was on a XBridge BEH Amide column (2.1 mm x 150 mm, 2.5 μm particle size; Waters, Milford, MA) using a gradient of solvent A (20 mM ammonium acetate, 20 mM ammonium hydroxide in 95:5 water: acetonitrile, pH 9.45) and solvent B (acetonitrile). Flow rate was 150 μl/min, column temperature was 25 ºC, autosampler temperature was 5°C, and injection volume was 10 μL. The LC gradient was: 0 min, 90% B; 2 min, 85% B; 3 min, 75% B; 7 min, 75% B; 8 min, 70% B; 9 min, 70% B; 10 min, 50% B; 12 min, 50% B; 13 min, 25% B; 14 min, 25% B; 16 min, 0% B; 21 min, 0% B; 22 min, 90% B; 25 min, 90% B. Autosampler temperature was 5°C, and injection volume was 10 μL. The mass spectrometer was operated in negative ion mode to scan from m/z 70 to 1000 at 1Hz and a resolving power of 140,00020. Data were analyzed using the MAVEN software21.
Statistical analysis.
Experiments were conducted with technical and biological replicates at an appropriate sample size as estimated by our prior experience. No statistical methods were used to predetermine sample size. No methods of randomization and no blinding were applied. All data were replicated independently at least once as indicated in the figure legends, and all attempts to reproduce experimental data were successful. For all bar graphs, mean + s.d. are shown. All statistical analysis was performed using GraphPad Prism 7 or newer. p-values <0.05 were considered significant (*p<0.05, **p<0.01; ***p<0.001, **** p<0.0001); p-values >0.05; non-significant (ns). FlowJo 8.0 or newer (Treestar) was used to analyze flow cytometry data. All sample sizes and statistical tests used are detailed in each figure legend.
Extended Data
Supplementary Material
Acknowledgments
This work was supported by NIH grants R37 AR40072, R61 AR073948 (J.C. and R.A.F.), F31 AI1333855 (J.A.S.), T32 AI7019-41 (J.A.S.), R01 CA166025-04 (L.J.M), T32 GM065841-14 (L.J.M.), the Howard Hughes Medical Institute (R.A.F), European Union’s Horizon 2020, and Marie Sklodowska-Curie grant agreement No 751423 (J.C.G.C), and the Paradifference Foundation (L.J.M.).
Footnotes
Publishers note: Springer Nature remains neutral with regard to jurisdictional claims in publisher maps and institutional affilliations.
Data availability. The data that support the findings of this study are available from the corresponding author upon reasonable request. RNA-seq data sets have been deposited in Gene Expression Omnibus under the accession number GSE130713.
The authors declare no competing financial interests.
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