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Article

HIF1α-Dependent Metabolic Signals Control the Differentiation of Follicular Helper T Cells

by
Lin Dong
1,†,
Ying He
1,†,
Shuping Zhou
2,†,
Yejin Cao
1,
Yan Li
1,
Yujing Bi
3,* and
Guangwei Liu
1,*
1
Key Laboratory of Cell Proliferation and Regulation Biology, Ministry of Education, Institute of Cell Biology, College of Life Sciences, Beijing Normal University, Beijing 100875, China
2
Institute of Basic Medicine, Shandong First Medical University & Shandong Academy of Medical School, Jinan 250062, China
3
State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing 100071, China
*
Authors to whom correspondence should be addressed.
†
These authors contributed equally to this work.
Cells 2019, 8(11), 1450; https://doi.org/10.3390/cells8111450
Submission received: 14 October 2019 / Revised: 14 November 2019 / Accepted: 15 November 2019 / Published: 17 November 2019
(This article belongs to the Section Cellular Immunology)
Browse Figures
Versions Notes

Abstract

:
Follicular helper T (TFH) cells are critical for germinal center (GC) formation and are responsible for effective B cell-mediated immunity; metabolic signaling is an important regulatory mechanism for the differentiation of TFH cells. However, the precise roles of hypoxia inducible factor (HIF) 1α-dependent glycolysis and oxidative phosphorylation (OXPHOS) metabolic signaling remain unclear in TFH cell differentiation. Herein, we investigated the effects of glycolysis and OXPHOS on TFH cell differentiation and GC responses using a pharmacological approach in mice under a steady immune status or an activated immune status, which can be caused by foreign antigen stimulation and viral infection. GC and TFH cell responses are related to signals from glycolytic metabolism in mice of different ages. Foreign, specific antigen-induced GC, and TFH cell responses and metabolic signals are essential upon PR8 infection. Glycolysis and succinate-mediated OXPHOS are required for the GC response and TFH cell differentiation. Furthermore, HIF1α is responsible for glycolysis- and OXPHOS-induced alterations in the GC response and TFH cell differentiation under steady or activated conditions in vivo. Blocking glycolysis and upregulating OXPHOS signaling significantly recovered TFH cell differentiation upon PR8 infection and ameliorated inflammatory damage in mice. Thus, our data provide a comprehensive experimental basis for fully understanding the precise roles of HIF1α-mediated glycolysis and OXPHOS metabolic signaling in regulating the GC response and TFH cell differentiation during stable physiological conditions or an antiviral immune response.

1. Introduction

Follicular helper T (TFH) cells are specialized T helper (TH) cells that localize in the follicles and germinal center (GC) and can selectively stimulate B cells for GC responses, contributing to immunoglobulin production and memory B cell and long-lived plasma cell development [1,2]. TFH cells express some migration-related molecules, including the chemokine receptor CXCR5, the inducible costimulatory molecule ICOS, the T cell inhibitory receptor PD-1, and the cytokine IL-21 [3,4]. GCs are transient and essential structures in B cell follicles of secondary lymphoid tissue [5,6,7]. TFH cells control GC formation and maintenance, which should help B cell maturation, positive selection and differentiation into memory B cells, and should help long-lived B cells to efficiently mediate humoral immunity [8,9]. Bcl-6 is a master-specific transcriptional factor for TFH cells [10,11,12]. IL-6 and IL-21 contribute to the differentiation of TFH cells. ICOS and its ligand are required for Bcl-6 expression and TFH cell differentiation [13,14,15]. In contrast, IL-2 potently inhibited TFH cell differentiation through the transcription factors STAT5 and Blimp1, which can significantly inhibit the expression of Bcl-6 [16,17,18].
T cell differentiation is accompanied by dynamic metabolic reprogramming [19]. It has been shown that initial T cell activation and differentiation require naïve T cells to reprogram their metabolic status by shutting down oxidative phosphorylation (OXPHOS) and engaging in different metabolic pathways, including glycolysis and the pentose phosphate pathway, to meet the bioenergy demands [20,21]. Once cells enter the terminal differentiation, memory T cells instead use OXPHOS to provide the energy needed by the body [21,22,23,24]. These energy metabolism modes have obviously remodeled mitochondrial structure and respiratory capacity, which can obviously meet larger energy needs [24]. Energy metabolism patterns are different at different developmental and activation stages of T cells, and different T cell subsets often have distinct energy metabolism patterns. Although studies have shown that TFH cell-mediated humoral immunity is often mediated by glucose metabolism signals, the precise roles of hypoxia inducible factor (HIF) 1α-mediated glycolysis and OXPHOS metabolic signals remain unclear.
In this study, we used pharmacological methods to observe the effects of glycolysis and OXPHOS on GC responses and TFH cell differentiation under steady status or activated status, such as foreign antigen stimulation and viral infection. It was found that HIF1α-dependent glycolysis and OXPHOS are important for GC responses and TFH cell differentiation and play critical roles in anti-virus infectious immunity.

2. Materials and Methods

2.1. Mice and Treatments

The wild-type (WT) B6 mice used in the experiments were mostly 8 weeks old unless otherwise indicated in the figure legend and were obtained from Beijing Weitonglihua Experimental Animal Center. Hif1αflox/flox mice (on the B6 genetic background) were crossed with Cd4-cre mice to obtain Hif1α-/- mice, as described previously [25,26]. All animal experiments were performed in accordance with protocols (CLS-EAW-2016-014) approved by the Animal Ethics Committee of Beijing Normal University on May 30, 2016. WT mice were treated as previously described [27]. Briefly, WT mice were injected intraperitoneally (i.p.) with diethyl succinate ( succinate, Suc, Sigma-Aldrich, St. Louis, USA; 70 mg/kg/mouse) or 2-deoxy-D-glucose (2-DG, Santa Cruz Biotechnology, Dallas, Texas, USA; 200 mg/kg/mouse) diluted in phosphate-buffered saline (PBS) in a volume of 200 μL daily for 8 consecutive days.

2.2. Mice Immunized with Ovalbumin (OVA)

WT or Hif1α-/- mice were immunized by i.p. injection with OVA (Sigma-Aldrich; 100 μg) plus lipopolysaccharide (LPS, Sigma-Aldrich; 10 μg) in alum (Thermo Fisher Scientific, MS, Madison WI, USA; 200 μL each mouse), as described previously [28]. After 8 days, we determined the GC responses and TFH cell differentiation in the mouse spleens.

2.3. Influenza Virus PR8 Infection

WT mice were infected intranasally with the mouse-adapted influenza virus (PR8, H1N1) at a dose of 450 TCID50 (the half maximal tissue culture infectious dose) in a volume of 50 μL (each mouse), as described previously [29]. After 8 days, we analyzed the GC response and TFH cell differentiation in bronchoalveolar lavage fluid (BALF) and lungs of infected mice.

2.4. Histology

Lungs were fixed in 4% paraformaldehyde and embedded in paraffin, sectioned at 4 μm, mounted on positively charged glass slides (Superfrost Plus), and dried at 60 °C for 20 min. Hematoxylin and eosin (H&E) staining was completed by Wuhan Servicebio Co., Ltd., in China. Photographic analysis of H&E sections was performed with a ZEISS positive fluorescence microscope (Imager M1 microscopy, Carl Zeiss, Oberkochen, Baden-Württemberg, Germany), as described previously [30].

2.5. Flow Cytometry

The cell surface markers and cytokines were analyzed by flow cytometry, as described previously [30,31,32]. Living cells were stained with the following antibodies in PBS containing 0.1% (weight/volume) bovine serum albumin and 0.1% NaN3 for 30 min on ice. The following antibodies were obtained from BD Biosciences (Lake Franklin, NJ, USA): anti-CD4 (GK1.5), anti-B220 (RA36B2), anti-CXCR5 (2G8), anti-T- and B-cell activation antigen (GL-7), anti-CD95 (Jo2), anti-CD138 (281-2), and anti-IgD (11-26c.2a). The following antibodies were obtained from eBioscience (Thermo Fisher): anti-PD-1 (J43), anti-CXCR5 (SPRCL5), and anti-IL-21 (FFA21). To detect cytokine secretion, cells were stimulated with phorbol-12-myristate-13-acetate (PMA; Sigma-Aldrich) and ionomycin (PeproTech-BioGems, NJ, USA) for 5 hours. The cells were fixed using a Fixation/Permeabilization Solution Kit (BD Biosciences). To detect the metabolism-related regulators, we used anti-Glut1 (EPR3915) and anti-SDHα (EPR9043B) antibodies. Cells were fixed with a Fixation/Permeabilization Solution Kit (BD Biosciences) and were intracellularly stained for both molecules. All flow cytometry data were obtained with ACEA NovoCyte (ACEA Biosciences, Inc., San Diego, CA, USA), and the data were analyzed with NovoExpress (TreeStar, San Carlos, CA).

2.6. Metabolic Assays

The respiratory burst indicated by the proton production rate (PPR) and the oxygen consumption rate (OCR) were measured as previously described [32,33]. Briefly, TFH cells were sorted from the spleen. PPR and OCR were measured with an XFe24 extracellular flux analyzer (Seahorse Bioscience, Agilent Technologies, Inc, Palo Alto, CA, USA) according to the manufacturer’s instructions as described previously [25,34]. In brief, TFH cells were sorted from splenocytes and seeded into XFe24 microplates (2 × 105) to immobilize the cells. The cells were washed with XF base medium (assay medium, Sigma-Aldrich) with glucose (10 mM), sodium pyruvate (1 mM), and L-glutamine (2 mM). After incubation in the assay medium in an incubator without CO2 for 1 hour, cells were subjected to oxygen consumption assays with a Mito Stress Test Kit (Seahorse Biosciences). Oligomycin (Sigma-Aldrich; 1 μM), FCCP (mitochondrial oxidative phosphorylation uncoupler, Sigma-Aldrich; 1 μM), and rotenone/antimycin A (Sigma Aldrich; 0.5 μM) were added to the medium in order. The data were acquired on Seahorse XF-24 and analyzed using Wave.

2.7. Quantitative Real-Time PCR

RNA was extracted with TRIzol reagent (Sigma-Aldrich) in TFH cells (CXCR5+PD1+CD4+T cells) sorted from the spleen, BALF, or lung. Complementary DNA (cDNA) was synthesized using the PrimeScript™ RT Master Mix (Perfect Real Time; TaKaRa, Osaka City, Osaka Prefecture, Japan). An ABI Q6 Flex Real-time PCR system (ThermoFisher Scientific) was used for quantitative PCR with primers from Applied Biosystems (Carlsbad, CA, USA). The Glut1 gene-specific primers used in this study are as follows: forward primer, 5′-cagctgtcgggtatcaatgc-3′; reverse primer, 5′-tccagctcgctctacaacaa-3′. The Sdha gene-specific primers used in this study are as follows: forward primer, 5′-tgctgggtacttgaatccct-3′; reverse primer, 5′-atgaacgtagtcggtaaccac-3′. The individual gene expression was calculated and normalized to the expression of Hprt. The primers used for Hprt were as follows: forward primer, 5′-agtacagccccaaaatggttaag-3′; reverse primer, 5′-cttaggctttgtatttggcttttc-3′. To determine the relative quantities, SYBR® Premix ExTaqTM (Perfect Real Time, TaKaRa) was used. The results were analyzed with an ABI Q6 Flex Real-time PCR system (ThermoFisher Scientific), as described previously [26].

2.8. Statistical Analyses

All data are presented as the means ± SDs. Student’s unpaired t test was used to compare two sets of parametric data. When comparing three or more datasets, one-way analysis of variance with Dunnett’s post hoc test was applied for parametric data, and a Kruskal-Wallis test was applied for nonparametric data; p < 0.05 was considered to be statistically significant.

3. Results

3.1. GC and TFH Cell Responses in Mice of Different Ages Are Related to Signals from Glycolytic Metabolism

We first explored the GC and TFH cell response in peripheral immune organs in mice of different ages (weeks). Under a steady state, the spleens were obtained from mice of different ages (4, 16, and 36 weeks old). Spleens from 4-week-old mice contained a population of T cells expressing the TFH cell markers PD-1 and CXCR5 and B cells expressing the GC markers GL-7 and CD95; the TFH cells and GC B cell frequencies were markedly enhanced with age from 4 weeks old to 16 weeks old. After that, TFH cells decreased significantly, while GC B cells continued to increase in the 36-week-old mice (Figure 1A). Furthermore, IgD-CD138+ plasma B cells were significantly increased in mice from 4 weeks old to 36 weeks old (Figure 1B). IL-21 is critical for TFH cell differentiation and function, and we found that IL-21 production in TFH cells also showed a consistent tendency with age (Figure 1B). Therefore, GC and TFH responses have age-related characteristics, but TFH and GC reactions show different tendencies in peripheral immune tissue.
Generally, the peripheral immune organs are stimulated by foreign antigens to induce a GC response, but this is very special in Peyer’s patches (PPs). In PPs, GC responses are continuously present, which is very important for the secretion of intestinal immunoglobulin to maintain the intestinal immune homeostasis. The spontaneous GC responses are maintained by long-term exposure to intestinal microorganisms and strictly depend upon the assistance of TFH cells [35,36]. PPs in mice that ranged from 4 weeks old to 36 weeks old showed enhanced frequencies of TFH cells and GC B cells (Figure 1C), and the IL-21 secretion in TFH cells was markedly enhanced with age (Figure 1D). However, the IgD-CD138+ plasma B cells were markedly decreased with age (Figure 1D), which indicates that the intestinal mucosal B cell response probably shows different characteristics from peripheral immune organs in mice.
The metabolic requirements of TFH cell differentiation are not well understood. To investigate the precise roles of glycolysis and the OXPHOS metabolic pathway in TFH cell differentiation, we determined Glut1, a key regulator of glycolysis. Additionally, succinate dehydrogenase (SDH) supports metabolic repurposing of T cell differentiation and functional activity [1]. We also determined the level of SDHα, a key enzyme subset of SDH during the OXPHOS metabolic pathway. Glut1 mRNA and protein levels in TFH cells were markedly enhanced with an age-dependent tendency, but Sdhα mRNA and protein levels were markedly downregulated with an age-dependent tendency (Figure 1E,F). These data collectively showed that TFH cell differentiation was probably related to glycolysis and the OXPHOS metabolic signal in mice of different ages.

3.2. Foreign Antigen-Induced GC and TFH Cell Responses in an Antigen-Specific Manner

Although TFH and GC B cells showed different responses after age 16 weeks in peripheral immune organs, they showed a constant increase before age 16 weeks. Therefore, in the follow-up experiment, we selected 8-week-old mice to observe the response of GC B cells and TFH cells. To investigate the GC and TFH cell response under a cell-activated state, we immunized mice with OVA. Immunized mice had enhanced TFH cell and GC cell frequency and number in the spleens (Figure 2A,B) and draining lymph nodes (data not shown). IgD-CD138+ plasma B cells and IL-21 production were markedly enhanced after immunization with OVA (Figure 2C,D).
T cell differentiation is accompanied by dynamic metabolic reprogramming. To evaluate the role of glycolysis and OXPHOS, we isolated TFH cells from the spleen of immunized mice with OVA and examined the metabolic activity of the TFH cells. The results showed that immunization leads to an increase in PPR and a reduction in OCR in activated TFH cells, and these results suggest that antigen-specific immunization significantly elevates the rate of glycolysis but not OXPHOS (Figure 2E,G). Consistently, the key regulator Glut1 and SDHα of glycolysis and the OXPHOS metabolic pathway were markedly upregulated or downregulated in TFH cells, respectively (Figure 2F,H). Thus, glycolysis and OXPHOS metabolic signals are related to GC responses and TFH cell differentiation via antigen-specific mechanisms.

3.3. TFH Cell Differentiation and Metabolic Signals Are Essential upon PR8 Infection

TFH cell enrichment plays an important role in the regulation of antiviral infection [1,3]. Therefore, to emulate the GC reaction in response to acute viral infection, we challenged mice with the PR8 H1N1 virus strain. On day 8 after infection, the mice had enhanced TFH cell and GC cell frequency and number in BALF and lung tissue (Figure 3A,B) and draining lymph nodes (data not shown). IgD-CD138+ plasma B cells and IL-21 production were markedly enhanced after PR8 infection (Figure 3C,D). Furthermore, the results showed that PR8 infection leads to an increase in PPR and a reduction in OCR in activated TFH cells, which suggests that PR8 infection significantly elevates the rate of glycolysis but not that of OXPHOS (data not shown). Consistently, the key regulator Glut1 of glycolysis or key enzyme SDHα of the OXPHOS metabolic pathway was markedly upregulated or downregulated, respectively (Figure 3E,F; data not shown). Thus, glycolysis and OXPHOS metabolic signals are related to GC responses and TFH cell differentiation upon viral infection.

3.4. Glycolysis Is Required for GC Response and TFH Cell Differentiation

To further investigate the role of glycolysis in GC response and TFH cell differentiation, these mice were immunized with OVA and treated with glycolysis inhibitor 2-DG, 2-DG alone or OVA immunization alone in vivo. The results showed that OVA immunization markedly enhanced TFH cell differentiation and GC responses, but 2-DG combined with OVA immunization treatment significantly recovered these alterations (Figure 4A–F). Furthermore, IgD-CD138+ plasma B cells and IL-21 production were markedly enhanced after immunization with OVA, but 2-DG combined with OVA immunization treatment significantly recovered these alterations (Figure 4G,H and Supplementary Figure S1). Moreover, 2-DG treatment significantly blocked PPR levels and Glut1 expression (Figure 4I,J), which indicates that 2-DG treatment efficiently blocked the glycolysis signaling pathway when these mice were immunized with a foreign antigen. Together, these results suggest that glycolysis signaling is critically required for GC response and TFH cell differentiation under foreign antigen stimulation.

3.5. Succinate-Mediated OXPHOS Is Sufficient for GC Response and TFH Cell Differentiation

SDH and SDH-mediated OXPHOS are critical for T cell differentiation and metabolic reprogramming in immunity [1,2]. To further investigate the role of succinate and OXPHOS signaling in the GC response and TFH cell differentiation, these mice were immunized with OVA and treated with SDH activator diethyl succinate (Suc) or Suc alone or OVA immunization alone in vivo. The results showed that OVA immunization markedly enhanced TFH cell differentiation and GC responses, but Suc combined with OVA immunization treatment significantly recovered these alterations (Figure 5A,B). Furthermore, IgD-CD138+ plasma B cells and IL-21 production were markedly enhanced after immunization with OVA, but Suc combined with OVA immunization treatment significantly recovered these alterations (Figure 5C–F). Moreover, Suc combined with OVA immunization treatment significantly enhanced the OCR levels and Sdhα expression (Figure 5G,H), which indicates that Suc treatment efficiently enhanced the SDH levels and OXPHOS signaling activities when these mice were immunized with a foreign antigen. Together, these results suggest that succinate and OXPHOS signaling are sufficient for the GC response and TFH cell differentiation under foreign antigen stimulation.

3.6. HIF1α-Dependent Glycolysis and OXPHOS Are Required for GC Response and TFH Cell Dfferentiation

HIF1α is reported to be a key regulator of the activity of the glycolytic pathway in immune cells. Our previous studies also demonstrated that HIF1α is critically involved in macrophage polarization and metabolism [25,37]. Here, we further explored the role of HIF1α in TFH cell differentiation and the glycolytic pathway activity. We crossed mice bearing loxp flanked alleles encoding Hif1α (Hif1αfl/fl) with Cd4-Cre mice to generate Hif1αfl/fl; Cd4-Cre mice (Hif1α gene specifically deleted in T cells). The results showed that under steady state, HIF1α deficiency markedly decreased the TFH cell frequency and GC cell frequency (Figure 6A,B). Consistently, IL-21 production and Glut1 mRNA expression were markedly lowered, and SDHα was markedly enhanced (Figure 6C,D). Furthermore, after stimulation with foreign antigens, although the value of TFH cell frequency and GC cell frequency increased significantly, the frequency and number of TFH cells and GC cells decreased significantly due to HIF1α deficiency (Figure 6E,F). Furthermore, IgD-CD138+ plasma B cells and IL-21 production were significantly lower in Hif1α-/- mice compared with control WT compartments (Figure 6G,H). These data suggest that HIF1α is required for TFH cell differentiation and GC responses under steady state or foreign antigen challenge in mice. Importantly, HIF1α deficiency markedly downregulated the PPR levels and upregulated the OCR levels in TFH cells when challenged with foreign antigens in mice (Figure 6I,J and Supplementary Figure S2). Together, these data suggest that HIF1α-dependent glycolysis and OXPHOS are critically required for GC responses and TFH cell differentiation under a steady and activated state in mice.

3.7. Alteration of Glycolysis and OXPHOS Signaling Controls TFH Cell Differentiation upon PR8 Infection

TFH cell recruitment and differentiation are critical for regulating the antiviral response in vivo [1,3]. Therefore, we further investigated the significance of HIF1α-dependent glycolysis and OXPHOS metabolic signaling in GC responses to TFH cell differentiation upon PR8 infection. We pretreated WT mice with or without the glycolysis inhibitor 2-DG and challenged the mice with PR8 infections in vivo for 8 days. After 8 days of infection, the severity of infection was evaluated by measuring the pathological lung tissue damage with H&E staining. As shown in the figures, mice pretreated with 2-DG displayed a markedly ameliorated course of infection after the challenge (Figure 7 and Supplementary Figure S3). Microscopic and histological observations revealed markedly ameliorated pathological inflammation in lungs from mice pretreated with 2-DG (Figure 7A). Consistently, PR8 infection markedly enhanced the TFH cell frequency and GC cell frequency in BALF and infected lung tissue. However, blocking glycolysis with 2-DG treatment significantly recovered these alterations (Figure 7B,C). Moreover, 2-DG treatments also significantly recovered the upregulated IL-21 production and IgD-CD138+ plasma B cell frequency challenged by virus infection (Figure 7D). Furthermore, blocking glycolysis with 2-DG did not alter the expression level of Hif1α mRNA during this course (Supplementary Figure S4), which suggests that HIF1α is an upstream molecule of the glycolysis signaling pathway. Together, these results suggest that glycolysis signaling is necessary for GC responses and TFH cell differentiation upon PR8 infection.
We pretreated WT mice with or without the OXPHOS activator Suc and challenged the mice with a PR8 infection in vivo for 8 days. After 8 days of infection, the severity of infection was evaluated by measuring the pathological lung tissue damage with H&E staining. As shown in Figure 7A, mice pretreated with Suc displayed a markedly ameliorated course of infection after the challenge. Pathological observations revealed markedly ameliorated pathological inflammation in lungs from mice pretreated with Suc (Figure 7A). Consistently, PR8 infection markedly enhanced the TFH cell frequency and GC cell frequency in infected lung tissue and BALF. However, upregulating OXPHOS signaling with Suc treatment significantly recovered these alterations (Figure 7,F). Moreover, Suc treatments also significantly recovered the upregulated IL-21 production and IgD-CD138+ plasma B cell frequency challenged by virus infection (Figure 7G,H). Together, these results suggest that succinate and OXPHOS signaling are essential for GC responses and TFH cell differentiation upon PR8 infection.

4. Discussion

Metabolic reprogramming plays an important role in T cell activation, differentiation, and function [19,20,38]. On the one hand, cell metabolism provides enough energy for T cell development and differentiation; on the other hand, energy metabolites are also important regulators of the T cell response. Different T cell subsets often have different metabolic characteristics [16,39]. Therefore, targeting specific metabolic pathways can effectively treat immune-associated diseases mediated by different T cell subsets [40]. TFH cells are a subset of CD4+T cells that specialize in helping B cells to produce antibodies in the face of antigenic challenge. TFH cells have the unique ability to provide help to B cells for the formation of GC reactions and the development of humoral immunity [1]. Additionally, TFH cells are essential for the generation of short- and long-lived humoral immunity, which is necessary for the protective response against a wide range of pathogens, including viruses [1,2]. Despite the recent identification of the metabolic regulation of TFH cell differentiation, the precise mechanisms of glycolysis and OXPHOS in GC responses and TFH cell differentiation under stable physiological status or pathological anti-virus immunity remain unknown. Herein, we showed that the GC and TFH cell responses in mice of different ages are related to signals from glycolytic metabolism. Foreign antigen-induced, specific GC and TFH cell responses, and metabolic signals are essential upon PR8 infection. Glycolysis and succinate-mediated OXPHOS are important for GC responses and TFH cell differentiation. Additionally, HIF1α is responsible for glycolysis and OXPHOS alterations of the GC response and TFH cell differentiation under steady or activated conditions in vivo. Blocking glycolysis and upregulating OXPHOS signaling significantly recovered TFH cell differentiation upon PR8 H1N1 infection and ameliorated inflammatory damage in mice (Supplementary Figure S5). Altogether, our study illustrates that glycolysis and OXPHOS are differentially involved in mediating GC responses and TFH cell differentiation under steady state and anti-virus immunity.
Glycolysis is the most universal pathway that converts glucose into pyruvate. However, OXPHOS occurs in the inner mitochondrial membrane of eukaryotic cells. It is a coupling reaction of the energy released during the oxidation of substances in vivo to supply ADP and inorganic phosphate to synthesize ATP through the respiratory chain [23,24]. Succinate oxidoreductase is the second enzyme of the electron transport chain (ETC). This is special because it is the only enzyme that belongs to both the tricarboxylic acid cycle (TCA) cycle and the ETC. Additionally, SDH-mediated OXPHOS supports metabolic repurposing of mitochondria to drive tumor cells or nontumor inflammatory macrophages and T cell differentiation and functional activity [41,42]. In the presence of oxygen, tumor cells also exhibit glycolysis, which is known as the Warburg effect [43]. In contrast, nontumor cells are often dependent on ambient oxygen concentrations and changes in cell metabolism from OXPHOS to glycolysis [44,45]. The activation or differentiation of naïve T cells is also closely related to metabolic reprogramming [19,46,47]. Naïve and memory T cells provide energy mainly through OXPHOS and fatty acid oxidation, which reflects their continuous low demand for energy [19]. In contrast, effector T cells require high-energy metabolism. These cells are similar to tumor cells in that they often provide energy through glycolysis [48]. Current research results have proven that different T cell subsets often require different metabolisms. Generally, TH1, TH2, TH9, and TH17 cells depend on glycolysis, while regulatory T cells (Treg) are more dependent on OXPHOS and fatty acid oxidation. Recent studies have shown that the TFH cell response is associated with strong metabolic demands and have revealed some controversial roles of glycolysis during TFH differentiation. TFH secretes IL-21 by glycolysis in vitro [47], while Bcl-6 can inhibit TFH cell activity by inhibiting gene expression in the glycolysis pathway [49,50]. Consistent with this, inhibition of the glycolysis pathway does not block Bcl6-expressing TFH cell differentiation [51]. DUSP6 deficiency promoted TFH cell differentiation and was associated with a severe defect in glycolysis [49]. mTOR positively controls TFH cell differentiation and GC responses, which are associated with glycolysis and lipogenesis. Direct manipulation of metabolic activities through the transcription factors Myc and Glut1 modulated TFH cell responses [52]. In this study, we evaluated the glycolytic activities of GC and TFH cell responses and demonstrated that HIF1α-dependent glycolysis and succinate-mediated OXPHOS are positively and negatively associated with the ATP supply in the GC response and TFH cell differentiation, respectively. In addition, we identified that glycolytic reprogramming plays a critical role in TFH cell differentiation under antigen immunization or upon virus infection.
HIF1α is a key regulator of the B cell adaptive immune response [53,54]. In the study of the human B-lymphocyte cell line under hypoxic conditions, HIF1α activated a series of glycolysis signal pathway gene transcription pathways, enhanced glycolysis activity, and produced ATP to meet the energy supply of B cells. Previously, we demonstrated that HIF1α-mediated activation of glycolysis had a beneficial effect for the synthesis of ATP under severely hypoxic conditions in directing TH9 cell differentiation in cancer during severe hypoxia or in noncancer T cells [26]. Here, we report that HIF1α-glycolysis and OXPHOS actively change the glycolytic activities of both OXPHOS and glycolysis, which play important roles in the GC and TFH cell responses. These data suggest that glycolysis can take the form of active glycolysis without considering the activity of mitochondria, which is different from classical glycolysis during severe hypoxia. This active glycolysis may help to prevent excessive ROS production when mitochondrial respiration or OXPHOS is damaged. In addition, the dynamic balance between glycolysis and OXPHOS is helpful for reprogramming the GC and TFH cell responses under physiological or pathological conditions.
In conclusion, our results showed that HIF1α-dependent glycolysis and OXPHOS processes significantly reprogrammed the GC responses and TFH cell differentiation under steady state or antigen immunization conditions, even during an actual PR8 H1N1 infection. Therefore, these data collectively indicated that glycolysis and OXPHOS metabolic signaling are tightly linked to the GC response and TFH cell differentiation. The precise metabolic profiles of GC responses and TFH cell functional differentiation are intimately linked to their status and functions during antigen immunization and PR8 H1N1 infection.

Supplementary Materials

The following are available online at https://www.mdpi.com/2073-4409/8/11/1450/s1, Supplementary Figure S1: Blocking glycolysis inhibits TFH cell differentiation upon foreign antigen stimuli. Supplementary Figure S2: HIF1α is responsible for glycolysis and OXPHOS in TFH cell differentiation and GC responses. Supplementary Figure S3: Alterations of glycolysis and OXPHOS signaling controls TFH cell differentiation upon PR8 virus infection. Supplementary Figure S4: Alterations of glycolysis and OXPHOS signaling controls TFH cell differentiation upon PR8 virus infection. Supplementary Figure S5: Regulations of glycolytic activities on homeostasis and differentiation of TFH cells in anti-virus immunity.

Author Contributions

L.D., Y.H. and S.Z. designed and conducted the experiment with cells and mice and analyzed data; S.Z. and Y.B. conducted the experiments with mice and analyzed data; S.Z., Y.C., and Y.L. participated in discussions, L.D., Y.B. and G.L. contributed to writing the manuscript and participated in discussions.

Funding

This research was funded by the National Natural Science Foundation for Key Programs of China (31730024, G.L.), National Natural Science Foundation for General Programs of China (31671524, G.L. and 31970863, Y.B.), and Projects of Medical and Health Technology Development Program in Shandong Province of China (2016WS0526, S.Z).

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Crotty, S. Follicular helper CD4 T cells (TFH). Annu. Rev. Immunol. 2011, 29, 621–663. [Google Scholar] [CrossRef] [PubMed]
  2. Chen, Y.; Chen, Y.; Yu, M.; Zheng, Y.; Fu, G.; Xin, G.; Zhu, W.; Luo, L.; Burns, R.; Li, Q.Z.; et al. CXCR5(+)PD-1(+) follicular helper CD8 T cells control B cell tolerance. Nat. Commun. 2019, 10, 4415. [Google Scholar] [CrossRef]
  3. Deng, J.; Wei, Y.; Fonseca, V.R.; Graca, L.; Yu, D. T follicular helper cells and T follicular regulatory cells in rheumatic diseases. Nat. Rev. Rheumatol. 2019, 15, 475–490. [Google Scholar] [CrossRef] [PubMed]
  4. DiToro, D.; Winstead, C.J.; Pham, D.; Witte, S.; Andargachew, R.; Singer, J.R.; Wilson, C.G.; Zindl, C.L.; Luther, R.J.; Silberger, D.J.; et al. Differential IL-2 expression defines developmental fates of follicular versus nonfollicular helper T cells. Science 2018, 361, 6407. [Google Scholar] [CrossRef] [PubMed]
  5. Victora, G.D.; Nussenzweig, M.C. Germinal centers. Annu. Rev. Immunol. 2012, 30, 429–457. [Google Scholar] [CrossRef]
  6. Jeon, Y.H.; Choi, Y.S. Follicular Helper T (Tfh) Cells in Autoimmune Diseases and Allograft Rejection. Immune. Netw. 2016, 16, 219–232. [Google Scholar] [CrossRef]
  7. Shlomchik, M.J.; Weisel, F. Germinal centers. Immunol. Rev. 2012, 247, 5–10. [Google Scholar] [CrossRef]
  8. Kamekura, R.; Takano, K.; Yamamoto, M.; Kawata, K.; Shigehara, K.; Jitsukawa, S.; Nagaya, T.; Ito, F.; Sato, A.; Ogasawara, N.; et al. Cutting Edge: A Critical Role of Lesional T Follicular Helper Cells in the Pathogenesis of IgG4-Related Disease. J. Immunol. 2017, 199, 2624–2629. [Google Scholar] [CrossRef]
  9. Ma, X.; Nakayamada, S.; Kubo, S.; Sakata, K.; Yamagata, K.; Miyazaki, Y.; Yoshikawa, M.; Kitanaga, Y.; Zhang, M.; Tanaka, Y. Expansion of T follicular helper-T helper 1 like cells through epigenetic regulation by signal transducer and activator of transcription factors. Ann. Rheum. Dis. 2018, 77, 1354–1361. [Google Scholar] [CrossRef]
  10. Yu, D.; Rao, S.; Tsai, L.M.; Lee, S.K.; He, Y.; Sutcliffe, E.L.; Srivastava, M.; Linterman, M.; Zheng, L.; Simpson, N.; et al. The transcriptional repressor Bcl-6 directs T follicular helper cell lineage commitment. Immunity 2009, 31, 457–468. [Google Scholar] [CrossRef]
  11. Stauss, D.; Brunner, C.; Berberich-Siebelt, F.; Höpken, U.E.; Lipp, M.; Müller, G. The transcriptional coactivator Bob1 promotes the development of follicular T helper cells via Bcl6. EMBO J. 2016, 35, 881–898. [Google Scholar] [CrossRef] [PubMed]
  12. Johnston, R.J.; Poholek, A.C.; DiToro, D.; Yusuf, I.; Eto, D.; Barnett, B.; Dent, A.L.; Craft, J.; Crotty, S. Bcl6 and Blimp-1 are reciprocal and antagonistic regulators of T follicular helper cell differentiation. Science 2009, 325, 1006–1010. [Google Scholar] [CrossRef] [PubMed]
  13. Bauquet, A.T.; Jin, H.; Paterson, A.M.; Mitsdoerffer, M.; Ho, I.C.; Sharpe, A.H.; Kuchroo, V.K. The costimulatory molecule ICOS regulates the expression of c-Maf and IL-21 in the development of follicular T helper cells and TH-17 cells. Nat. Immunol. 2009, 10, 167–175. [Google Scholar] [CrossRef] [PubMed]
  14. Choi, Y.S.; Kageyama, R.; Eto, D.; Escobar, T.C.; Johnston, R.J.; Monticelli, L.; Lao, C.; Crotty, S. ICOS receptor instructs T follicular helper cell versus effector cell differentiation via induction of the transcriptional repressor Bcl6. Immunity 2011, 34, 932–946. [Google Scholar] [CrossRef] [PubMed]
  15. Xu, H.; Li, X.; Liu, D.; Li, J.; Zhang, X.; Chen, X.; Hou, S.; Peng, L.; Xu, C.; Liu, W.; et al. Follicular T-helper cell recruitment governed by bystander B cells and ICOS-driven motility. Nature 2013, 496, 523–527. [Google Scholar] [CrossRef] [PubMed]
  16. Ballesteros-Tato, A.; León, B.; Graf, B.A.; Moquin, A.; Adams, P.S.; Lund, F.E.; Randall, T.D. Interleukin-2 inhibits germinal center formation by limiting T follicular helper cell differentiation. Immunity 2012, 36, 847–856. [Google Scholar] [CrossRef] [PubMed]
  17. Nutt, S.L.; Fairfax, K.A.; Kallies, A. BLIMP1 guides the fate of effector B and T cells. Nat. Rev. Immunol. 2007, 7, 923–927. [Google Scholar] [CrossRef]
  18. Lee, S.K.; Silva, D.G.; Martin, J.L.; Pratama, A.; Hu, X.; Chang, P.P.; Walters, G.; Vinuesa, C.G. Interferon-gamma excess leads to pathogenic accumulation of follicular helper T cells and germinal centers. Immunity 2012, 37, 880–892. [Google Scholar] [CrossRef]
  19. Chapman, N.M.; Boothby, M.R.; Chi, H. Metabolic coordination of T cell quiescence and activation. Nat. Rev. Immunol. 2019. [Google Scholar] [CrossRef]
  20. Zhu, J. T Helper Cell Differentiation, Heterogeneity, and Plasticity. Cold Spring Harb. Perspect Biol. 2018, 10. [Google Scholar] [CrossRef]
  21. Newton, R.H.; Shrestha, S.; Sullivan, J.M.; Yates, K.B.; Compeer, E.B.; Ron-Harel, N.; Blazar, B.R.; Bensinger, S.J.; Haining, W.N.; Dustin, M.L.; et al. Maintenance of CD4 T cell fitness through regulation of Foxo1. Nat. Immunol. 2018, 19, 838–848. [Google Scholar] [CrossRef] [PubMed]
  22. Yang, K.; Blanco, D.B.; Neale, G.; Vogel, P.; Avila, J.; Clish, C.B.; Wu, C.; Shrestha, S.; Rankin, S.; Long, L.; et al. Homeostatic control of metabolic and functional fitness of Treg cells by LKB1 signalling. Nature 2017, 548, 602–606.23. [Google Scholar] [CrossRef] [PubMed]
  23. Yu, Q.; Jia, A.; Li, Y.; Bi, Y.; Liu, G. Microbiota regulate the development and function of the immune cells. Int. Rev. Immunol. 2018, 37, 79–89. [Google Scholar] [CrossRef] [PubMed]
  24. Wang, T.; Liu, G.; Wang, R. The Intercellular Metabolic Interplay between Tumor and Immune Cells. Front. Immunol. 2014, 5, 358. [Google Scholar] [CrossRef] [PubMed]
  25. Li, C.; Wang, Y.; Li, Y.; Yu, Q.; Jin, X.; Wang, X.; Jia, A.; Hu, Y.; Han, L.; Wang, J.; et al. HIF1alpha-dependent glycolysis promotes macrophage functional activities in protecting against bacterial and fungal infection. Sci. Rep. 2018, 8, 3603. [Google Scholar] [CrossRef] [PubMed]
  26. Wang, Y.; Bi, Y.; Chen, X.; Li, C.; Li, Y.; Zhang, Z.; Wang, J.; Lu, Y.; Yu, Q.; Su, H.; et al. Histone Deacetylase SIRT1 Negatively Regulates the Differentiation of Interleukin-9-Producing CD4(+) T Cells. Immunity 2016, 44, 1337–1349. [Google Scholar] [CrossRef] [PubMed]
  27. Li, Y.; Jia, A.; Wang, Y.; Dong, L.; Wang, Y.; He, Y.; Wang, S.; Cao, Y.; Yang, H.; Bi, Y.; et al. Immune effects of glycolysis or oxidative phosphorylation metabolic pathway in protecting against bacterial infection. J. Cell. Physiol. 2019, 234, 20298–20309. [Google Scholar] [CrossRef]
  28. Ancelin, K.; Lange, U.C.; Hajkova, P.; Schneider, R.; Bannister, A.J.; Kouzarides, T.; Surani, M.A. Blimp1 associates with Prmt5 and directs histone arginine methylation in mouse germ cells. Nat. Cell. Biol. 2006, 8, 623–630. [Google Scholar] [CrossRef]
  29. Fahey, L.M.; Wilson, E.B.; Elsaesser, H.; Fistonich, C.D.; McGavern, D.B.; Brooks, D.G. Viral persistence redirects CD4 T cell differentiation toward T follicular helper cells. J. Exp. Med. 2011, 208, 987–999. [Google Scholar] [CrossRef]
  30. Liu, G.; Bi, Y.; Xue, L.; Zhang, Y.; Yang, H.; Chen, X.; Lu, Y.; Zhang, Z.; Liu, H.; Wang, X.; et al. Dendritic cell SIRT1-HIF1alpha axis programs the differentiation of CD4+ T cells through IL-12 and TGF-beta1. Proc. Natl. Acad. Sci. USA 2015, 112, E957–E965. [Google Scholar] [CrossRef]
  31. Zhang, Y.; Bi, Y.; Yang, H.; Chen, X.; Liu, H.; Lu, Y.; Zhang, Z.; Liao, J.; Yang, S.; Chu, Y.; et al. mTOR limits the recruitment of CD11b+Gr1+Ly6Chigh myeloid-derived suppressor cells in protecting against murine immunological hepatic injury. J. Leukoc. Biol. 2014, 95, 961–970. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  32. Liu, G.; Bi, Y.; Shen, B.; Yang, H.; Zhang, Y.; Wang, X.; Liu, H.; Lu, Y.; Liao, J.; Chen, X.; et al. SIRT1 limits the function and fate of myeloid-derived suppressor cells in tumors by orchestrating HIF-1alpha-dependent glycolysis. Cancer Res. 2014, 74, 727–737. [Google Scholar] [CrossRef] [PubMed]
  33. Liu, G.; Hu, X.; Sun, B.; Yang, T.; Shi, J.; Zhang, L.; Zhao, Y. Phosphatase Wip1 negatively regulates neutrophil development through p38 MAPK-STAT1. Blood 2013, 121, 519–529. [Google Scholar] [CrossRef] [PubMed]
  34. Mills, E.L.; Kelly, B.; Logan, A.; Costa, A.S.H.; Varma, M.; Bryant, C.E.; Tourlomousis, P.; Däbritz, J.H.M.; Gottlieb, E.; Latorre, I.; et al. Succinate Dehydrogenase Supports Metabolic Repurposing of Mitochondria to Drive Inflammatory Macrophages. Cell 2016, 167, 457–470. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  35. Stebegg, M.; Kumar, S.D.; Silva-Cayetano, A.; Fonseca, V.R.; Linterman, M.A.; Graca, L. Regulation of the Germinal Center Response. Front. Immunol. 2018, 9, 2469. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  36. Thai, T.H.; Calado, D.P.; Casola, S.; Ansel, K.M.; Xiao, C.; Xue, Y.; Murphy, A.; Frendewey, D.; Valenzuela, D.; Kutok, J.L.; et al. Regulation of the germinal center response by microRNA-155. Science 2007, 316, 604–608. [Google Scholar] [CrossRef]
  37. Liu, L.; Lu, Y.; Martinez, J.; Bi, Y.; Lian, G.; Wang, T.; Milasta, S.; Wang, J.; Yang, M.; Liu, G.; et al. Proinflammatory signal suppresses proliferation and shifts macrophage metabolism from. Proc. Natl. Acad. Sci. USA 2016, 113, 1564–1569. [Google Scholar] [CrossRef] [Green Version]
  38. Chi, H. Regulation and function of mTOR signalling in T cell fate decisions. Nat. Rev. Immunol. 2012, 12, 325–338. [Google Scholar] [CrossRef]
  39. Bailis, W.; Bailis, W.; Shyer, J.A.; Zhao, J.; Canaveras, J.C.G.; AlKhazal, F.J.; Qu, R.; Steach, H.R.; Bielecki, P.; Khan, O.; et al. Distinct modes of mitochondrial metabolism uncouple T cell differentiation and function. Nature 2019, 571, 403–407. [Google Scholar] [CrossRef]
  40. Kareva, I. Metabolism and Gut Microbiota in Cancer Immunoediting, CD8/Treg Ratios, Immune Cell Homeostasis, and Cancer (Immuno)Therapy: Concise Review. Stem Cells 2019, 37, 1273–1280. [Google Scholar] [CrossRef] [Green Version]
  41. Németh, B.; Doczi, J.; Csete, D.; Kacso, G.; Ravasz, D.; Adams, D.; Kiss, G.; Nagy, A.M.; Horvath, G.; Tretter, L.; et al. Abolition of mitochondrial substrate-level phosphorylation by itaconic acid produced by LPS-induced Irg1 expression in cells of murine macrophage lineage. FASEB J. 2016, 30, 286–300. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  42. Hawse, W.F.; Cattley, R.T.; Wendell, S.G. Cutting Edge: TCR Signal Strength Regulates Acetyl-CoA Metabolism via AKT. J. Immunol. 2019. [Google Scholar] [CrossRef] [PubMed]
  43. Buck, M.D.; O’Sullivan, D.; Kleingeltink, R.I.; Curtis, J.D.; Chang, C.H.; Sanin, D.E.; Qiu, J.; Kretz, O.; Braas, D.; Van der Windt, G.J.; et al. Mitochondrial Dynamics Controls T Cell Fate through Metabolic Programming. Cell 2016, 166, 63–76. [Google Scholar] [CrossRef] [Green Version]
  44. O’Sullivan, D.; Van der Windt, G.J.; Huang, S.C.; Curtis, J.D.; Chang, C.H.; Buck, M.D.; Qiu, J.; Smith, A.M.; Lam, W.Y.; DiPlato, L.M.; et al. Memory CD8(+) T cells use cell-intrinsic lipolysis to support the metabolic programming necessary for development. Immunity 2014, 41, 75–88. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  45. Wang, S.; Liu, R.; Yu, Q.; Dong, L.; Bi, Y.; Liu, G. Metabolic reprogramming of macrophages during infections and cancer. Cancer Lett. 2019, 452, 14–22. [Google Scholar] [CrossRef] [PubMed]
  46. El Kasmi, K.C.; Stenmark, K.R. Contribution of metabolic reprogramming to macrophage plasticity and function. Semin. Immunol. 2015, 27, 267–275. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  47. Zhu, L.; Zhao, Q.; Yang, T.; Ding, W.; Zhao, Y. Cellular metabolism and macrophage functional polarization. Int. Rev. Immunol. 2015, 34, 82–100. [Google Scholar] [CrossRef]
  48. Chapman, N.M.; Chi, H. Hallmarks of T-cell Exit from Quiescence. Cancer Immunol. Res. 2018, 6, 502–508. [Google Scholar] [CrossRef] [Green Version]
  49. Hsu, W.C.; Chen, M.Y.; Hsu, S.C.; Huang, L.R.; Kao, C.Y.; Cheng, W.H.; Pan, C.H.; Wu, M.S.; Yu, G.Y.; Hung, M.S.; et al. DUSP6 mediates T cell receptor-engaged glycolysis and restrains TFH cell differentiation. Proc. Natl. Acad. Sci. USA 2018, 115, E8027–E8036. [Google Scholar] [CrossRef] [Green Version]
  50. Oestreich, K.J.; Read, K.A.; Gilbertson, S.E.; Hough, K.P.; McDonald, P.W.; Krishnamoorthy, V.; Weinmann, A.S. Bcl-6 directly represses the gene program of the glycolysis pathway. Nat. Immunol. 2014, 15, 957–964. [Google Scholar] [CrossRef]
  51. Xie, M.M.; Amet, T.; Liu, H.; Yu, Q.; Dent, A.L. AMP kinase promotes Bcl6 expression in both mouse and human T cells. Mol. Immunol. 2017, 81, 67–75. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  52. Zeng, H.; Cohen, S.; Guy, C.; Shrestha, S.; Neale, G.; Brown, S.A.; Cloer, C.; Kishton, R.J.; Gao, X.; Youngblood, B.; et al. mTORC1 and mTORC2 Kinase Signaling and Glucose Metabolism Drive Follicular Helper T Cell Differentiation. Immunity 2016, 45, 540–554. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  53. Shapira, S.; Raanani, P.; Samara, A.; Nagler, A.; Lubin, I.; Arber, N.; Granot, G. Deferasirox selectively induces cell death in the clinically relevant population of leukemic CD34(+)CD38(-) cells through iron chelation, induction of ROS, and inhibition of HIF1alpha expression. Exp. Hematol. 2019, 70, 55–69.e4. [Google Scholar] [CrossRef] [PubMed]
  54. Zhang, Y.; Cheng, H.; Li, W.; Wu, H.; Yang, Y. Highly-expressed P2 × 7 receptor promotes growth and metastasis of human HOS/MNNG osteosarcoma cells via PI3K/Akt/GSK3beta/beta-catenin and mTOR/HIF1alpha/VEGF signaling. Int. J. Cancer 2019, 45, 1068–1082. [Google Scholar] [CrossRef] [PubMed] [Green Version]
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Figure 1. Age-related GC responses and TFH cell differentiation. (A) Flow cytometry of TFH cells (CXCR5+PD-1+) among CD4+ T cells and GC B cells (CD95+GL-7+) among B220+ cells in spleens from wild-type (WT) mice at the ages of 4, 16, and 36 weeks. The right panel shows the frequency of TFH cells and GC B cells. (B) Flow cytometry of plasma cells (IgD-CD138+) among B220+ cells and IL-21+ TFH cells in spleens. The right panel shows the frequency of plasma cells and IL-21+TFH cells. (C) Flow cytometry of TFH cells and GC B cells in Peyer’s patches (PPs) from WT mice at 4, 16, and 36 weeks of age. (D) Flow cytometry of plasma cells and IL-21+TFH cells in PPs. (E) Glut1 and Sdhα mRNA expression was examined by real-time PCR analysis in TFH cells sorted from the splenocytes. (F) Flow cytometry of Glut1 and SDHα expression in TFH cells in spleens. Analyses of mean fluorescence intensity (MFI) are shown. Data are representative of three individual experiments (n = 3–6 mice per group). * p < 0.05; ** p < 0.01; *** p < 0.001, compared with the indicated groups.
Figure 1. Age-related GC responses and TFH cell differentiation. (A) Flow cytometry of TFH cells (CXCR5+PD-1+) among CD4+ T cells and GC B cells (CD95+GL-7+) among B220+ cells in spleens from wild-type (WT) mice at the ages of 4, 16, and 36 weeks. The right panel shows the frequency of TFH cells and GC B cells. (B) Flow cytometry of plasma cells (IgD-CD138+) among B220+ cells and IL-21+ TFH cells in spleens. The right panel shows the frequency of plasma cells and IL-21+TFH cells. (C) Flow cytometry of TFH cells and GC B cells in Peyer’s patches (PPs) from WT mice at 4, 16, and 36 weeks of age. (D) Flow cytometry of plasma cells and IL-21+TFH cells in PPs. (E) Glut1 and Sdhα mRNA expression was examined by real-time PCR analysis in TFH cells sorted from the splenocytes. (F) Flow cytometry of Glut1 and SDHα expression in TFH cells in spleens. Analyses of mean fluorescence intensity (MFI) are shown. Data are representative of three individual experiments (n = 3–6 mice per group). * p < 0.05; ** p < 0.01; *** p < 0.001, compared with the indicated groups.
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Figure 2. TFH cell differentiation is associated with glycolysis and OXPHOS with OVA immunization. WT mice underwent intraperitoneal immunization with OVA plus LPS in alum at 8 days, and spleens were isolated for analysis. (A) Flow cytometry of TFH cells in spleens. The right panel shows the frequency and the number of TFH cells. (B,C) Flow cytometry of GC B cells and plasma cells in spleens; the statistical results are also shown. (D) The secretion of IL-21 in CXCR5+PD1+CD4+TFH cells in spleens. The right panel shows the frequency and the number of IL-21+ TFH cells. (E) The proton production rate (PPR) was examined as a readout for glycolysis of CXCR5+PD1+CD4+TFH cells sorted from splenocytes. (F) Glut1 mRNA expression was analyzed by real-time PCR in CXCR5+PD1+CD4+TFH cells sorted from splenocytes. (G) The oxygen consumption rate (OCR) was examined as a readout for OXPHOS of CXCR5+PD1+CD4+TFH cells sorted from splenocytes. (H) Sdhα mRNA expression was analyzed by real-time PCR in CXCR5+PD1+CD4+TFH cells sorted from the splenocytes. Data are representative of four individual experiments (n = 3–7 mice per group). *** p < 0.001, compared with the indicated groups.
Figure 2. TFH cell differentiation is associated with glycolysis and OXPHOS with OVA immunization. WT mice underwent intraperitoneal immunization with OVA plus LPS in alum at 8 days, and spleens were isolated for analysis. (A) Flow cytometry of TFH cells in spleens. The right panel shows the frequency and the number of TFH cells. (B,C) Flow cytometry of GC B cells and plasma cells in spleens; the statistical results are also shown. (D) The secretion of IL-21 in CXCR5+PD1+CD4+TFH cells in spleens. The right panel shows the frequency and the number of IL-21+ TFH cells. (E) The proton production rate (PPR) was examined as a readout for glycolysis of CXCR5+PD1+CD4+TFH cells sorted from splenocytes. (F) Glut1 mRNA expression was analyzed by real-time PCR in CXCR5+PD1+CD4+TFH cells sorted from splenocytes. (G) The oxygen consumption rate (OCR) was examined as a readout for OXPHOS of CXCR5+PD1+CD4+TFH cells sorted from splenocytes. (H) Sdhα mRNA expression was analyzed by real-time PCR in CXCR5+PD1+CD4+TFH cells sorted from the splenocytes. Data are representative of four individual experiments (n = 3–7 mice per group). *** p < 0.001, compared with the indicated groups.
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Figure 3. TFH cell differentiation is associated with glycolysis and OXPHOS upon influenza virus PR8 infection. Mice infected with influenza H1N1 virus PR8-infected mice at 8 days and BALF and lungs were isolated for analysis. (A) Flow cytometry of TFH cells in BALF and lungs. The right panel shows the frequency of TFH cells. (B,C) Flow cytometry of GC B cells (B) and plasma cells (C) in lungs. The right panel shows the frequency of GC B cells and plasma cells. (D) The percent of IL-21+ TFH cells in the lungs. The right panel shows the statistical results. (E) Glut1 and Sdhα mRNA expression was analyzed by real-time PCR in CXCR5+PD1+CD4+TFH cells sorted from BALF. (F) Flow cytometry analysis of the MFI of Glut1 expression in TFH cells in BALF and lungs. Data are representative of three individual experiments (n = 3–6 mice per group). *** p < 0.001, compared with the indicated groups.
Figure 3. TFH cell differentiation is associated with glycolysis and OXPHOS upon influenza virus PR8 infection. Mice infected with influenza H1N1 virus PR8-infected mice at 8 days and BALF and lungs were isolated for analysis. (A) Flow cytometry of TFH cells in BALF and lungs. The right panel shows the frequency of TFH cells. (B,C) Flow cytometry of GC B cells (B) and plasma cells (C) in lungs. The right panel shows the frequency of GC B cells and plasma cells. (D) The percent of IL-21+ TFH cells in the lungs. The right panel shows the statistical results. (E) Glut1 and Sdhα mRNA expression was analyzed by real-time PCR in CXCR5+PD1+CD4+TFH cells sorted from BALF. (F) Flow cytometry analysis of the MFI of Glut1 expression in TFH cells in BALF and lungs. Data are representative of three individual experiments (n = 3–6 mice per group). *** p < 0.001, compared with the indicated groups.
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Figure 4. Blocking glycolysis inhibits TFH cell differentiation stimulated by foreign antigens. WT mice underwent intraperitoneal immunization with OVA plus LPS in alum and in the presence of PBS (vehicle) or 2-DG (200 mg/kg/day) i.p. at 8 days, and mouse spleens were isolated for analysis. (A–C) Flow cytometry of TFH cells in spleens in A. The frequency and the number of TFH cells are shown in B–C. (D–F) Flow cytometry of GC B cells in spleens in D. The frequency and the number of GC B cell are shown in E and F. (G,H) Flow cytometry analysis of plasma cells (G) and IL-21+TFH cells (H) in spleens. (I) PPR was analyzed as a readout for glycolysis in TFH cells sorted from splenocytes. (J) Glut1 mRNA expression was analyzed by real-time PCR in TFH cells sorted from splenocytes. Data are representative of four individual experiments (n = 3–5 mice per group). *** p < 0.001, compared with the indicated groups.
Figure 4. Blocking glycolysis inhibits TFH cell differentiation stimulated by foreign antigens. WT mice underwent intraperitoneal immunization with OVA plus LPS in alum and in the presence of PBS (vehicle) or 2-DG (200 mg/kg/day) i.p. at 8 days, and mouse spleens were isolated for analysis. (A–C) Flow cytometry of TFH cells in spleens in A. The frequency and the number of TFH cells are shown in B–C. (D–F) Flow cytometry of GC B cells in spleens in D. The frequency and the number of GC B cell are shown in E and F. (G,H) Flow cytometry analysis of plasma cells (G) and IL-21+TFH cells (H) in spleens. (I) PPR was analyzed as a readout for glycolysis in TFH cells sorted from splenocytes. (J) Glut1 mRNA expression was analyzed by real-time PCR in TFH cells sorted from splenocytes. Data are representative of four individual experiments (n = 3–5 mice per group). *** p < 0.001, compared with the indicated groups.
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Figure 5. OXPHOS signaling controls TFH cell differentiation induced by foreign antigens. WT mice underwent intraperitoneal immunization with OVA plus LPS in alum and in the presence of PBS (vehicle) or succinate (Suc, 70 mg/kg/day) i.p. at 8 days, and mouse spleens were isolated for analysis. (A) Flow cytometry of TFH cells in spleens. (B) Flow cytometry of GC B cells in spleens. (C,D) Flow cytometry analysis of plasma cells (C) and the frequency and number of plasma cells are shown (D). (E,F) Flow cytometry analysis of IL-21+CXCR5+PD1+CD4+TFH cells in spleens (E). The frequency and the number of IL-21+ TFH cells are shown (F). (G) OCR was analyzed as a readout for OXPHOS in TFH cells sorted from splenocytes. (H) Sdhα mRNA expression was analyzed by real-time PCR in CD4+TFH cells sorted from splenocytes. Data are representative of three individual experiments (n = 4–5 mice per group). *** p < 0.001, compared with the indicated groups.
Figure 5. OXPHOS signaling controls TFH cell differentiation induced by foreign antigens. WT mice underwent intraperitoneal immunization with OVA plus LPS in alum and in the presence of PBS (vehicle) or succinate (Suc, 70 mg/kg/day) i.p. at 8 days, and mouse spleens were isolated for analysis. (A) Flow cytometry of TFH cells in spleens. (B) Flow cytometry of GC B cells in spleens. (C,D) Flow cytometry analysis of plasma cells (C) and the frequency and number of plasma cells are shown (D). (E,F) Flow cytometry analysis of IL-21+CXCR5+PD1+CD4+TFH cells in spleens (E). The frequency and the number of IL-21+ TFH cells are shown (F). (G) OCR was analyzed as a readout for OXPHOS in TFH cells sorted from splenocytes. (H) Sdhα mRNA expression was analyzed by real-time PCR in CD4+TFH cells sorted from splenocytes. Data are representative of three individual experiments (n = 4–5 mice per group). *** p < 0.001, compared with the indicated groups.
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Figure 6. HIF1α is responsible for glycolysis and OXPHOS in TFH cell differentiation and GC responses. (A,B) Flow cytometry of TFH cells (A) and GC B cells (B) in spleens from WT and Hif1α-/- mice. (C) Il21 mRNA expressions of TFH cells sorted from splenocytes in WT and Hif1α-/- mice. (D) Glut1 and Sdhα mRNA expressions of TFH cells sorted from splenocytes in WT and Hif1α-/- mice. (E–J) WT and Hif1α-/- mice underwent intraperitoneal OVA immunization (OVA Sen.) with OVA plus LPS in alum at 8 days, and mouse spleens were isolated for analysis. (E,F) Flow cytometry of TFH cells and GC B cells in spleens from WT and Hif1α-/- mice after immunization. The frequency and the number of TFH cells and GC B cells are shown in the right panel. (G,H) Flow cytometry of plasma cells and IL-21+ TFH cells in spleens from WT and Hif1α-/- mice after immunization. (I–J) PPR (I) and OCR (J) were analyzed as the readout of glycolysis and OXPHOS in TFH cells sorted from splenocytes in WT and Hif1α-/- mice after immunization, respectively. Data are representative of four individual experiments (n = 4–5 mice per group). *** p < 0.001, compared with the indicated groups.
Figure 6. HIF1α is responsible for glycolysis and OXPHOS in TFH cell differentiation and GC responses. (A,B) Flow cytometry of TFH cells (A) and GC B cells (B) in spleens from WT and Hif1α-/- mice. (C) Il21 mRNA expressions of TFH cells sorted from splenocytes in WT and Hif1α-/- mice. (D) Glut1 and Sdhα mRNA expressions of TFH cells sorted from splenocytes in WT and Hif1α-/- mice. (E–J) WT and Hif1α-/- mice underwent intraperitoneal OVA immunization (OVA Sen.) with OVA plus LPS in alum at 8 days, and mouse spleens were isolated for analysis. (E,F) Flow cytometry of TFH cells and GC B cells in spleens from WT and Hif1α-/- mice after immunization. The frequency and the number of TFH cells and GC B cells are shown in the right panel. (G,H) Flow cytometry of plasma cells and IL-21+ TFH cells in spleens from WT and Hif1α-/- mice after immunization. (I–J) PPR (I) and OCR (J) were analyzed as the readout of glycolysis and OXPHOS in TFH cells sorted from splenocytes in WT and Hif1α-/- mice after immunization, respectively. Data are representative of four individual experiments (n = 4–5 mice per group). *** p < 0.001, compared with the indicated groups.
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Figure 7. Alterations of glycolysis and OXPHOS signaling control TFH cell differentiation upon PR8 infection. (A) Hematoxylin and eosin (H&E) histological staining of lung sections for general pathology and inflammatory cell infiltration at 8 days after PR8 infection and 2-DG (200 mg/kg/day) or succinate (Suc, 70 mg/kg/day) i.p. treatment. (B) Flow cytometry of TFH cells in BALF and lung tissue from PR8-infected mice at 8 days in the presence of 2-DG treatment. (C,D) Flow cytometry of GC B cells (C), plasma cells and IL-21+ TFH cells (D) in lungs from PR8-infected mice at 8 days in the presence of 2-DG treatment. (E) Flow cytometry of TFH cells in BALF and lungs from WT mice at 8 days after PR8 infection and succinate treatment. (F,G) Flow cytometry of GC B cells (F), plasma cells and IL-21+ TFH cells (G) in lungs from WT mice at 8 days after PR8 infection and succinate treatment. (H) Flow cytometry analysis of the MFI of Glut1 and SDHα expression in CXCR5+PD1+CD4+TFH cells in lungs. Data are representative of four individual experiments (n = 4–7 mice per group).
Figure 7. Alterations of glycolysis and OXPHOS signaling control TFH cell differentiation upon PR8 infection. (A) Hematoxylin and eosin (H&E) histological staining of lung sections for general pathology and inflammatory cell infiltration at 8 days after PR8 infection and 2-DG (200 mg/kg/day) or succinate (Suc, 70 mg/kg/day) i.p. treatment. (B) Flow cytometry of TFH cells in BALF and lung tissue from PR8-infected mice at 8 days in the presence of 2-DG treatment. (C,D) Flow cytometry of GC B cells (C), plasma cells and IL-21+ TFH cells (D) in lungs from PR8-infected mice at 8 days in the presence of 2-DG treatment. (E) Flow cytometry of TFH cells in BALF and lungs from WT mice at 8 days after PR8 infection and succinate treatment. (F,G) Flow cytometry of GC B cells (F), plasma cells and IL-21+ TFH cells (G) in lungs from WT mice at 8 days after PR8 infection and succinate treatment. (H) Flow cytometry analysis of the MFI of Glut1 and SDHα expression in CXCR5+PD1+CD4+TFH cells in lungs. Data are representative of four individual experiments (n = 4–7 mice per group).
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Dong, L.; He, Y.; Zhou, S.; Cao, Y.; Li, Y.; Bi, Y.; Liu, G. HIF1α-Dependent Metabolic Signals Control the Differentiation of Follicular Helper T Cells. Cells 2019, 8, 1450. https://doi.org/10.3390/cells8111450

AMA Style

Dong L, He Y, Zhou S, Cao Y, Li Y, Bi Y, Liu G. HIF1α-Dependent Metabolic Signals Control the Differentiation of Follicular Helper T Cells. Cells. 2019; 8(11):1450. https://doi.org/10.3390/cells8111450

Chicago/Turabian Style

Dong, Lin, Ying He, Shuping Zhou, Yejin Cao, Yan Li, Yujing Bi, and Guangwei Liu. 2019. "HIF1α-Dependent Metabolic Signals Control the Differentiation of Follicular Helper T Cells" Cells 8, no. 11: 1450. https://doi.org/10.3390/cells8111450

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