Method Article
CD8 T cell bioenergetics can be interrogated using the Mito Stress Test. This methodology can be used to study acute and chronic metabolic programming. This protocol describes approaches to examine the relationships between T cell receptor biology and bioenergetic analysis.
Understanding how immunometabolism impacts the function, differentiation, and fate of lymphocytes has garnered significant interest and attention. Lymphocyte biology has been explored using bioenergetic analysis and has now become a critically import tool in the field. Thus, we sought to optimize a bioenergetic analysis assay that can be adapted with pretreatments and acute injection for receptor stimulations. Here, we evaluated CD8 T cell ex vivo metabolism using the Cell Mito Stress Test to assess rates of oxygen consumption and extracellular acidification in naïve and effector CD8 T cells. Antigen-specific effector CD8 T cells were derived via ex vivo stimulation, and naïve CD8 T cells harvested from splenocytes and isolated with magnetic bead column separation.
Pretreatments are performed in microplates and we detail how to prepare sensor cartridges. We show how injection ports can loaded with drugs to indirectly measure metabolic capacities and with metabolic modulators, this protocol can be used to study specific enzyme activity. T-cell receptor stimulations can be studied in real time with acute injection and stimulation with anti-CD3/CD28 using the injection ports. Instrument analyzers are used for measurements and data collection and data visualization is done with software programs to interpret cellular metabolism. This strategy produces an extensive amount of data on immune cell biology and mitochondrial bioenergetics allowing researchers to customize the protocol in numerous ways to explore CD8 T cell metabolism.
The fate and functionality of immune cells are significantly impacted by metabolism, oxidative consumption, and anaerobic respiration1,2,3,4. Recently, there has been growing interest in targeting metabolic modulation as a strategy to re-program or revigorate CD8 T cell fate and effector function and improve viral clearance or enhance endogenous anti-tumor immunity5,6,7,8,9. Notably, antigen receptor signaling through the T cell receptor (TCR) is a key requirement for CD8 T cell differentiation resulting in downstream signaling and activation10,11,12 (Figure 1). Prolonged exposure to immunological insults causes persistent antigen-specific stimulation on the TCR eventually leading to chronically inflamed states, T cell fatigue, a remodeling of the immune microenvironment, and immune escape11,13,14,15,16,17,18,19.
The metabolism of exhausted CD8 T cells is fundamentally distinct from that of functional effector CD8 T cells2,3,14,15,18,20. T cell differentiation, interferon γ (IFNγ) secretion, and recall capacity are, in part, determined by mitochondrial function and β-oxidation break-down products. IFNγ+ CD8 T cells are critical components of both anti-tumor and anti-viral immune responses21,22,23. Specific metabolic flux via glycolysis and the electron transport chain is important for CD8 T cell activation, cytokine secretion, and memory responses4,11,13,15,18,24,25,26,27,28. Optimal responses, including T cell activation and effector differentiation, require a coordinated and specific mitochondrial response, while mitochondrial defects and excessive reactive oxygen species (ROS) characterize exhausted or dysfunctional T cells9,29. Recently, persistent TCR stimulation of CD8 T cells in vitro promotes CD8 T cell exhaustive differentiation in part by inducing oxidative stress and reprogramming oxidative metabolism and metabolic capacities required for T cell proliferation1,2,13,20,24,29. Altogether, metabolic control axes are critical components in directing CD8 T cell differentiation and their progression to effector, memory, or exhausted/dysfunctional phenotypes.
Metabolic compounds also direct immune cell responses by functioning as autocrine or paracrine signaling molecules9,30,31,32,33,34,35. Sphingosine-1-phosphate (S1P) and lysophosphatidic acid (LPA) are bioactive and inflammatory lipids that signal via G-protein coupled receptors (GPCRs) to modulate lymphocyte egress and cytotoxicity by CD8 T cells36. LPA signaling via GPCR LPA receptors on CD8 T cells reprograms metabolism to increase lipolysis, fatty acid oxidation, and proton leak9. Altogether, the bioenergetics and metabolism of CD8 T cells are largely driven by substrate availability, environmental cues, and energetic requirements.
Methodologies to interrogate CD8 T cell metabolism have become ever more important. The Cell Mito Stress Test provides a comprehensive evaluation of bioenergetics and is now recognized as a hallmark technique in the field of immunometabolism and CD8 T cell energetics9,37. Adherent cells were historically used for the Mito Stress Test assay38; however, there is increasing interest in applying this protocol for cells grown in suspension and specifically using immune cells for the Cell Mito Stress Test assay. Here, we present a detailed protocol to measure the metabolic activity of CD8 T cells based on our recent publication9. We provide a detailed explanation of the expansion of CD8 T cells, naïve CD8 T cell isolation, assay preparation, and treatment with protocols for both pretreatments and acute injections in the Cell Mito Stress Test assay. Importantly, we compare and contrast multiple methods for TCR stimulation and CD8 T cell activation, including polyclonal and antigen-specific TCR stimulation.
This protocol details antigen-specific stimulation using OT-I transgenic mice (a classical transgenic mouse model) for which all mouse T cells express the same Vα2 and Vβ5 genes39. The OT-I mouse CD8 T cells all harbor the same TCR that is specific against ovalbumin octapeptide (OVA257-264 also written as the amino acid sequence SIINFEKL or N4 a widely studied epitope that, upon presentation by major histocompatibility complex (MHC) class I, activates cytotoxic CD8 T cells39 (Figure 1A). Overall, the OT-I transgenic mouse model is widely used by immunologists to study TCR signaling and antigen-specific T cell effector function. As opposed to monoclonal activation with the OT-I mouse model, polyclonal CD8 T cells may be generated with anti-CD3/CD28 antibodies against TCR CD3 subunits and CD28 co-stimulatory molecule40 (Figure 1B). Anti-CD3/CD28 antibodies bypass the antigen-specific component of TCR signaling to activate a polyclonal population of T cells40. Ultimately, the results described in this report compare multiple methods for using the Cell Mito Stress Test to quantify dynamic metabolic flux in CD8 T cells.
Mice were kept in a pathogen-free environment and maintained according to the Institutional Animal Care and Use Committee standards and regulations.
1. Generation and expansion of CD8 T cells via antigen-specific stimulation
2. Generation and expansion of poly-specific CD8 T cells via anti-CD3/anti-CD28 stimulation
3. Harvest Naïve CD8 T cells
4. Perform the mitochondrial function assay
5. Perform a modified version of the mitochondrial function assay with TCR stimulation in a separate experiment with an acute anti-CD3/CD28 injection
NOTE: The mitochondrial function assay can be performed with an acute TCR simulation via two different approaches by either 1) using biotinylated anti-CD3 + anti-CD28 + streptavidin described in step 5.2 or 2) anti-CD3/CD28 magnetic beads described in step 5.3 These separate experiments both function to stimulate the TCR via an acute injection during the assay.
The glycolytic and oxidative metabolic capacities can be measured using a mitochondrial functional assay which evaluates capacities by targeting components of the electron transport chain at particular time points (Figure 2A). Different injection schemes can be loaded onto the sensor cartridge ports to modify the traditional assay and assess acute TCR stimulation (Figure 2B,C). Cell number and drug concentration for various cell types should be optimized prior to interpreting results. Here, this report describes conditions that have been optimized for CD8 T cells (Figure 3A,B) with inhibitors of the electron transport chain optimized to measure capacities in both naïve and effector cells (Figure 4A,B). Importantly, this assay can be modified to study TCR stimulation on effector CD8 T cells generated from antigen-specific stimulation or anti-CD3/CD28 stimulation. We further examine CD8 T cell response to bioactive lipid signaling, especially with, lysophosphatidic acid or LPA. We determined that metabolic trends in response to LPA signaling (at either 30 min, 2 h, or 4 h prior to loading the microplate into the analyzer instrument) were similar in both CD8 T cells activated with either antigen-specific or polyclonal TCR stimulation (Figure 5A-D). The type of TCR stimulation and mechanism of activation did result in subtle differences wherein metabolically energetic cells were initially generated with antigen-specific activation (Figure 5E-L).
Acute injection of anti-CD3/CD28 onto effector CD8 T cells can acutely stimulate the TCR with real-time measurements. Biotinylated anti-CD3, anti-CD28, and streptavidin can be used in aggregate to stimulate the TCR in an acute injection model. As a separate method, acute injections can be performed with magnetic beads conjugated to anti-CD3 and anti-CD28 in this bioenergetic assay to stimulate TCR in real time. We adapted the model to inject either media, biotinylated anti-CD3, anti-CD28 + streptavidin, or an aggregate of biotinylated anti-CD3 + anti-CD28 + streptavidin onto effector OT-I CD8 T cells in mid-time during the assay (Figure 6A,B). We observed stimulation with anti-CD3/CD28, which resulted in an increase in both OCR and ECAR. The OCR and ECAR signals were also elevated, but not to the same level as anti-CD3/CD28, with biotinylated anti-CD3 signal alone. Importantly, we find similar metabolic trends that are comparable to anti-CD3/CD28 magnetic bead acute injection (Figure 6C-F). In sum, these results show with multiple approaches and methodologies that the mitochondrial function assay is robust and reproducible for studying lymphocyte immunometabolism and specifically, CD8 T cells.
Figure 1: T cell receptor activation with antigen-specific and polyclonal stimulation. (A) Schematic of antigen-specific signaling with major histocompatibility complex (MHC) class I with peptide bound to the T cell receptor. (B) Depiction of CD8 T cell polyclonal activation by binding the CD3 subunits and the CD28 costimulatory molecule with anti-CD3/28 antibodies. Please click here to view a larger version of this figure.
Figure 2: Drug targeting of the electron transport chain in the mitochondrial function assay. (A) Schematic of electron transport chain inhibitors (red) used here. (B,C) For the mitochondrial function test, injection strategies on the sensor cartridge are as follows: (B) traditional injection approach where oligomycin is loaded into port A, FCCP into port B, and rotenone and antimycin A into port C. (C) The acute injection method involves placing acute injection (anti-CD3/CD28) in port A, oligomycin in port B, FCCP in port C, and rotenone and antimycin A in port D. Abbreviation: FCCP = 4-(trifluoromethoxy) phenyl) carbonohydrazonoyl dicyanide. Please click here to view a larger version of this figure.
Figure 3: Surface expression of CD8 and CD44, viability, and metabolic differences in CD8 T cells generated from anti-CD3 and anti-CD28 stimulation after LPA treatment. (A) Effector CD8 T cells are generated ex vivo by stimulating mouse-derived CD8 T cells with SIINFEKL (N4) and splenocytes as antigen-presenting cells or anti-CD3 and anti-CD28 on plates. On Day 4, IL-2 replaces the initial stimuli, supporting differentiation and proliferation. Homogenous Day 7 effector CD8 T cells are then analyzed via flow cytometry after in vitro culture. (B) T cells are identified by gating on lymphocyte status and then CD8+/CD44+ expression. A representative image shows CD8 and CD44 is unaffect with LPA treatment. This figure was modified from Turner et al.9. Please click here to view a larger version of this figure.
Figure 4: Oxidative capacities determined from oxygen consumption rate. (A,B) Oxygen consumption rates for naïve and effector CD8 T cells generated by (A) OT-I CD8 T cell antigen-specific stimulation and expansion or (B) anti-CD3/CD28 polyclonal stimulation and expansion of CD8 T cells from wild-type C57B/6 mice. Oligomycin, FCCP, antimycin A, and rotenone were injected at intervals of 18 min with 25 mM glucose media. Results are shown as representative data and were obtained using n = 6 technical replicates. (C,D) Capacity metrics derived from metabolic flux assays performed in panels (A,B) and display calculated basal respiration, maximal respiration, ATP-linked production, and proton leak. (C) Metabolic capacities were determined from OT-I CD8 T cells and correspond to data shown in panel (A). (D) Metabolic capacities determined from C57BL/6 CD8 T cells and correspond to data shown in panel (B). Unpaired Student's t-test analysis was done for the entire figure where *p < 0.05, **p < 0.005, ***p < 0.0005, and ****p < 0.0001. Abbreviations: OCR = Oxygen consumption rate; Oligo = oligomycin; FCCP = 4-(trifluoromethoxy) phenyl) carbonohydrazonoyl dicyanide; ant = antimycin A; rot = rotenone. Please click here to view a larger version of this figure.
Figure 5: Similar trends in effector CD8 T cell responses to LPA receptor signaling independent of antigen-specific or polyclonal activation. (A,B) CD8 T cell oxygen consumption rate is measured from cells generated by (A) OT-I CD8 T cell antigen-specific stimulation and expansion or (B) anti-CD3/CD28 polyclonal stimulation and expansion of CD8 T cells from wild-type C57B/6 mice. (C,D) Effector CD8 T cell extracellular acidification rate measurements are shown for cells generated by (C) OT-I CD8 T cell antigen-specific stimulation and expansion or (D) anti-CD3/CD28 polyclonal stimulation and expansion of CD8 T cells from wild-type C57B/6 mice. Metabolic capacities of CD8 T cells were measured in media supplemented with glutamine (red) or 1 µM LPA for 30 min (green), 2 h (blue), or 4 h (green). Oligomycin, FCCP, antimycin A, and rotenone were injected at intervals of 18 min with 25 mM glucose media. Results are shown as representative data and were obtained using n = 6 technical replicates. (E-H) Capacity metrics derived from metabolic flux assays performed in panels (A,C) and display calculated basal respiration, maximal respiration, ATP-linked production, and proton leak. (I-L) Capacity calculations from panels (B,D) showing basal respiration, maximal respiration, ATP-linked production, and proton leak. The entire figure was analyzed statistically using the one-way ANOVA where *p < 0.05. Abbreviations: OCR = Oxygen consumption rate; ECAR = extracellular acidification rate; Oligo = oligomycin; FCCP = 4-(trifluoromethoxy) phenyl) carbonohydrazonoyl dicyanide; ant = antimycin A; rot = rotenone. Please click here to view a larger version of this figure.
Figure 6: Strategies for T cell receptor stimulation in real time with acute injection of anti-CD3/CD28. (A,B) Acute injection strategy involving biotinylated anti-CD3, streptavidin, and anti-CD28 for mitochondrial function evaluation. Panels display metabolic capacities of antigen stimulated OT-I effector CD8 T cells, specifically showing (A) extracellular acidification rate and (B) oxygen consumption rate. Injections use media only (red), biotinylated anti-CD3 (green), anti-CD28 + streptavidin (blue), or a combination of biotinylated anti-CD3 + anti-CD28 + streptavidin (teal). (C,D) Acute injection of magnetic beads conjugated with anti-CD3/CD28 to assess mitochondrial activity. Panels display metabolic capacities of antigen stimulated OT-I effector CD8 T cells, specifically showing (C) extracellular acidification rate and (D) oxygen consumption rate. Injections use media only (red) or anti-CD3/CD28 bead injection (teal). Assays were performed with injections of oligomycin, FCCP, antimycin A, and rotenone at 18 min intervals in media supplemented with 25 mM glucose. Results are shown as representative data and were obtained using n = 6 technical replicates. (E) Capacity calculations from panels (A-D) showing basal metabolism at pre-injection (red), respiration at post-injection (blue), and maximal respiratory capacity (grey). Conditions are separated based on intra-assay injection. (F) Capacity calculations showing basal respiration, maximal respiration, ATP-linked production, and proton leak. Statistics for this entire figure were performed using the one-way ANOVA where *p < 0.05, **p < 0.005, ***p < 0.0005, and ****p < 0.0001. Abbreviations: OCR = Oxygen consumption rate; ECAR = extracellular acidification rate; Oligo = oligomycin; FCCP = 4-(trifluoromethoxy) phenyl) carbonohydrazonoyl dicyanide; ant = antimycin A; rot = rotenone. Please click here to view a larger version of this figure.
In this article, we outline a protocol to assess mitochondrial function of naïve and effector CD8 T cells. We detail and compare methods to prepare both antigen-specific and polyclonal CD8 T cells using OT-I and C57BL/6 mice. Our results demonstrate that there are similar trends in metabolism despite the method of activation and pretreatment in CD8 T cells. The data reveal that antigen-specific activation leads to more metabolically active OT-I CD8 T cells compared to their C57BL/6 wild-type counterparts stimulated with anti-CD3 and anti-CD28. The protocol described here shows that the mitochondrial functional assay, the Mito Stress Test, is a very sensitive and consistently repeatable assay that produces reliable results across multiple various conditions and cell types. Our findings and detailed protocol contribute to the growing recognition of this assay as a foundational methodology for analyzing CD8 T cell metabolism and bioenergetics.
As immunotherapy and various cellular treatments continue to advance, the significance of applying T cell-targeted therapies is also growing41. Response to immunotherapy and anti-tumor immune responses rely on T cell-mediated metabolism, calcium signaling, and oxidative flux triggered from upstream TCR activation42. Both metabolic efficiency and flexibility are required for optimal CD8 T cell responses5,6,7,15,17,26,43 whereas increased proton leak and subsequent oxidative damage impair T cell responses and promote dysfunction9,44. Both T cell proliferation and cytokine production can be rescued by mitigating mitochondrial oxidative stress5,13,20,24,25,29. Within our experiments, we have used naïve CD8 T cells that are cultured in IL-2, which sustains viability; however, these CD8 T cells are arguably no longer equivalent to bona fide naïve CD8 T cells. Thus, we chose to use naïve CD8 T cells directly from the mouse for better quality data and cells that are less likely to be affected by cytokines. Altogether, it is crucial to optimize techniques for examining metabolism across T cell subsets.
CD8 T cell fate is in part directed by metabolic programming which impacts adaptive immune responses2,4,45. Naïve CD8 T cells exit quiescent states upon TCR stimulation25,46,47,48,49,50. Nevertheless, continuous TCR stimulation leads to CD8 T cell exhaustion, resulting in a notably less energetic phenotype compared to functional CD8 T cells3,20,51,52. However, this impact on metabolism can be ameliorated and potentially revitalize exhausted CD8 T cells2,3,20,46,51,52. While the exact mechanism(s) governing CD8 T cell fate and exhaustive differentiation remain poorly understood, dysfunctional and/or exhausted CD8 T cells characteristically have defective mitochondria and overproduction of ROS which are key factors in regulating CD8 T cell effector function9,15,53. CD8 T cell metabolism, phenotypes, and exhaustive differentiation have been studied using the Mito Stress Test. Historically, persistent TCR stimulation resulting in a progressive loss of effector functions defines CD8 T cell exhaustion11,13,16,17. However, there have been recent efforts to better characterize exhausted CD8 T cells and show chromatin and transcriptional landscapes also define exhaustion and are closely related to metabolic flux18,27,28. Altogether, persistent TCR stimulation and subsequent phenotypes and metabolic sequelae can be studied with the Mito Stress Test to potentially identify metabolic vulnerabilities and fate-determining events.
Stimulation of TCR initiates downstream calcium signaling necessary for granule exocytosis and directed T cell killing24,33. Notably, preceding events, such as inflammasome activation and IFNγ production, rely on a persistent and sustained ATP54. During calcium signaling, there is a reported dysregulation in mitochondrial efficiency, known as the "mitochondrial flash" phenomenon55,56,57,58. Mitochondrial flash represents a process where actively respiring mitochondria briefly experience uncoupled respiration resulting in reduced ATP and increased burst of increased ROS55,56. There has been limited research on mitochondrial flash and its relevance in CD8 T cells remains widely unexplored. Importantly, the methodologies outlined in this study can be utilized to investigate these phenomena, exhaustive differentiation in CD8 T cells, and other immune cell profiles.
In summary, these methodologies and tools offer a more comprehensive approach to studying both acute and chronic metabolism. The Mito Stress Test can be applied to examine metabolic programming and how it regulates effector dysfunction and exhaustive differentiation in CD8 T cells. Metabolic reprogramming in lymphocytes may be a factor in understanding the mechanisms underlying immune tolerance, CD8 T cell dysfunction, and exhausted immune responses. Additionally, metabolism and/or lipid mediators play key roles in CD8 T cells' cytotoxicity and exhaustion9 and thus could be targeted as a novel approach to prevent exhaustion or potentially reverse exhaustive differentiation to reduce antitumor immunity. Altogether, the Cell Mito Stress Test assay stands as a robust tool that should be utilized to address these unresolved questions on immunometabolism.
The authors have no competing interests to disclose.
The Hertz Foundation, the Amy Davis Foundation, the Moore Family Foundation, and the Heidi Horner Foundation have provided invaluable support, for which we are grateful. This work was also supported in part by NIH grants to RMT (AI052157, AI136534), while JAT was supported by the Hertz Graduate Fellowship.
Name | Company | Catalog Number | Comments |
Antimycin A | Sigma-Aldrich | A8674 | |
Anti-CD28 | Biolegend | 102116 | |
Anti-CD3/CD28 Dynabeads | ThermoFisher | 11456D | |
Biotinylated anti-CD3 | Biolegend | 317320 | |
Bovine Serum Albumin | Sigma-Aldrich | 108321-42-2 | |
CD8a+ T cell isolation kit | Miltenyi Biotec | 130-104-075 | |
Cell Strainers (100 µm) | CELL TREAT | 229485 | |
Ethylenediaminetetraacetic acid | Sigma-Aldrich | E8008 | |
Ficoll | Sigma-Aldrich | 26873-85-8 | density gradient medium |
FCCP ((4-(trifluoromethoxy) phenyl) carbonohydrazonoyl dicyanide) | Sigma-Aldrich | C2920 | |
Glucose | Sigma-Aldrich | G-6152 | |
Glutamine | Sigma-Aldrich | G7513 | |
LS Columns | Miltenyi Biotec | 130-042-401 | Positive selection columns |
Magnetic cell separation column | Miltenyi Biotec | 130-042-301 | |
Microplate | Agilent | 102601-100 | |
Oligomycin | Sigma-Aldrich | 75351 | |
Pyruvate | Sigma-Aldrich | 113-24-6 | |
Recobinant IL-2 | PeproTech | 200-02 | |
Rotenone | Sigma-Aldrich | R8875 | |
Seahorse media | Agilent | 103576-100 | |
Sensor cartridge | Agilent | 102601-100 | |
Streptavidin | Sigma-Aldrich | A9275 | |
Sterile 6 well plate | CELL TREAT | 230601 | |
Sterile 24 well plate | CELL TREAT | 229524 | |
XF Calibrant | Agilent | 102601-100 |
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