Abstract
TNF receptor associated factor 6 (TRAF6) is an E3 ubiquitin ligase that has been implicated in myeloid malignancies. Although altered TRAF6 expression is observed in human acute myeloid leukemia (AML), its role in the AML pathogenesis remains elusive. In this study, we showed that the loss of TRAF6 in AML cells significantly impairs leukemic function in vitro and in vivo, indicating its functional importance in AML subsets. Loss of TRAF6 induces metabolic alterations, such as changes in glycolysis, TCA cycle, and nucleic acid metabolism as well as impaired mitochondrial membrane potential and respiratory capacity. In leukemic cells, TRAF6 expression shows a positive correlation with the expression of O-linked N-acetylglucosamine (O-GlcNAc) transferase (OGT), which catalyzes the addition of O-GlcNAc to target proteins involved in metabolic regulation. The restoration of growth capacity and metabolic activity in leukemic cells with TRAF6 loss, achieved through either forced expression of OGT or pharmacological inhibition of O-GlcNAcase (OGA) that removes O-GlcNAc, indicates the significant role of O-GlcNAc modification in the TRAF6-related cellular and metabolic dynamics. Our findings highlight the oncogenic function of TRAF6 in leukemia and illuminate the novel TRAF6/OGT/O-GlcNAc axis as a potential regulator of metabolic reprogramming in leukemogenesis.
Similar content being viewed by others
Introduction
Acute myeloid leukemia (AML) is a clonal hematopoietic stem and progenitor cell (HSPC) malignancy defined by the overproduction of immature myeloid cells (blasts) associated with a differentiation block. Although 35–40% of patients with AML aged ≤60 years achieve 5-year survival because of the progress in understanding the biology and treatment of AML, a considerable number of patients with AML still suffer from refractory/relapsed AML [1, 2]. In addition, the outcome for the AML aged >60 years remains poor, which is 5-15% of 5-year survival rate [1, 2]. AML development is propelled by genetic and epigenetic changes affecting crucial genes, including those for DNA methylation and signaling pathways [3,4,5,6]. Notably, the presence of some driver mutations associated with AML in healthy, particularly older, individuals is indicative of a pre-leukemic state known as clonal hematopoiesis of indeterminate potential (CHIP), which increases the risk of developing myeloid malignancies [7,8,9,10].
Tumor necrosis factor (TNF) receptor-associated factor 6 (TRAF6), an E3 ubiquitin ligase, plays a pivotal role in mediating innate immune signaling, primarily through Toll-like receptor (TLR) pathways. Upon TLR activation, TRAF6 undergoes K63-linked autopolyubiquitination, leading to the activation of various signaling cascades, including the NF-κB pathway [11]. Futhremore, TRAF6 interacts with a variety of proteins and has several substrates, such as AKT1 [12], p62 [13] and SMURF1 [14], which are outside the innate immune signaling pathway. While TRAF6 is critical for immune cell activation, its functions extend beyond immunoregulation to include roles in cellular growth and survival, bone homeostasis, lymph node organogenesis, and mammary gland development [11].
Recent research has uncovered TRAF6’s complex role in myeloid malignancies, illustrating its dual capacity as both an oncogene and a tumor suppressor [15,16,17]. Increased TRAF6 signaling is linked to myelodysplastic syndrome (MDS), where TRAF6 overexpression in mouse HSPCs results in MDS-like features, such as cytopenia, by regulating exon specification through TRAF6-mediated ubiquitination of RNA-binding protein hnRNPA1 [18]. Furthermore, activation of TLR-TRAF6 signaling by chronic inflammation in MDS increases the competitive advantage of HSPCs harboring MDS mutations. This is achieved through the upregulation of the ubiquitin-modifying enzyme A20 and a switch from canonical to non-canonical NF-κB signaling, indicating that TRAF6 functions as an oncogene in MDS [19].
Conversely, TRAF6’s tumor suppressive function is evident in different models of myeloid neoplasms. Specifically, overexpression of TRAF6 in a FLT3-ITD mouse model inhibited MPN development [20]. On the other hand, its absence in mice deficient for the Tet2 gene— a representative target gene associated with CHIP mutations in humans—led to leukemic transformation from pre-leukemic cells. This transformation was notably due to reduced ubiquitination and the consequent lack of functional repression of MYC, as TRAF6 directly ubiquitinates and negatively regulates MYC activity [20]. This underscores TRAF6’s tumor suppressive role and highlights the importance of a nuanced understanding of TRAF6’s diverse impacts. It is essential to consider the specific type of myeloid neoplasm and its context, including mutations and whether the disease is in the pre-leukemic or leukemic stage. Notably, the role of TRAF6 in hematopoietic cells during the leukemic phase has not been evaluated so far, leaving a critical gap in our understanding of its function in AML progression.
Therefore, this study aims to delineate TRAF6’s role during the leukemic phase by investigating the effects of TRAF6 loss in leukemic cells, both in vitro and in vivo. We propose that TRAF6 acts as a regulator of metabolic reprogramming, a crucial mechanism in AML progression, offering novel insights into its multifaceted role in leukemia advancement.
Materials and methods
Mice
Traf6fl/fl mice (C57Bl/6) were a kind gift from Dr. Yongwon Choi (University of Pennsylvania) [21]. Traf6fl/fl mice were crossed with Mx1-Cre mice (Jackson Laboratory, 003556) and R26-CreERT2 mice (Jackson Laboratory, 008463) for inducible deletion. All mice were bred, housed and handled in the Association for Assessment and Accreditation of Laboratory Animal Care-accredited animal facility of Cincinnati Children’s Hospital Medical Center (CCHMC). Experimental protocols were approved by the CCHMC Institutional Animal Care and Use Committee.
Cell lines
HEL, THP-1, TF-1, MOLM14 and MV4;11 cells were purchased from American Type Culture Collection (ATCC). The cells were cultured in RPMI1640 medium with 10% fetal bovine serum (FBS) and 1% penicillin and streptomycin (P/S). 10 ng/mL of human IL-3 (578006. Biolegend) was added to the medium for culturing TF-1. HEK 293 T cells was purchased from ATCC, and were cultured in DMEM with 10% FBS and 1% P/S. All these cell lines were cultured at 37 °C with 5% CO2. All the cell lines were authenticated using short tandem repeat profiling and tested for mycoplasma contamination once every 6 months.
Generation of MLL-AF9 AML mouse model
To generate a Traf6-deficient MLL-AF9 model, Traf6+/+;Mx1-Cre, Traf6fl/fl;Mx1-Cre, Traf6+/+;R26-CreERT2 and Traf6fl/fl;R26-CreERT2 lineage negative (Lin−) BM cells from C57Bl/6 mice were transduced with retrovirus encoding MLL-AF9 and a GFP reporter [22]. Due to the low transduction efficiency of these cells, three rounds of colony replating were performed to enrich for MLL-AF9-expressing AML cells. By the third plating, we confirmed that nearly all colonies express MLL-AF9 as determined by FACS ( > 95% GFP+ cells). Five hundred thousand Traf6+/+;Mx1-Cre or Traf6fl/fl;Mx1-Cre MLL-AF9-expressing (GFP+) AML cells were transplanted into lethally irradiated recipient mice (CD45.1+B6.SJLPtprca Pep3b/Boy; 6-10 weeks of age) together with 500,000 CD45.1+B6.SJLPtprca Pep3b/Boy helper BM cells. At 2 weeks after transplantation, the recipient mice were injected with 200 mL of polyinosinic-polycytidylic acid (pIpC) (Tocris Bioscience, Cat#4287) dissolved in phosphate-buffered saline (PBS) at a concentration of 1.5 mg/mL intraperitoneally every other day 5 times to delete Traf6. For in vitro analysis, such as evaluation for proliferative capacity, gene expression profile, cell cycle, mitochondrial membrane potential, intracellular glucose level, glucose uptake capacity, and extracellular flux analysis, Traf6 was deleted in vitro. MLL-AF9;Traf6+/+;R26-CreERT2 and MLL-AF9;Traf6fl/fl;R26-CreERT2 leukemic cells were cultured with IMDM (Wako, Cat#098-0645) with 10% FCS, 10 ng/mL of SCF (Peprotech, Cat#250-03), 10 ng/mL of IL-3 (Peprotech, Cat#213-13), 10 ng/mL of IL-6 (Peprotech, 200-06), and 1 μM 4-hydroxytamoxifen (4-OHT) (Sigma, Cat# H7904) for 4 days. Efficient deletion of Traf6 was confirmed by immunoblotting and RNA sequencing.
Extracellular flux analysis
Leukemic cells were seeded into a 96-well plate precoated with Cell-Tak (354240, Lot 2122006, Corning). The plate was centrifuged for 1 min at 300 × g and analyzed with the Agilent Seahorse XF Cell Mito Stress Test Kit (103015-100, Agilent technologies). During the assay, 1.5 mM Oligomycin, 1.5 mM FCCP, and 0.5 mM Rotenone/Antimycin A were added sequentially. Oxygen consumption rates and extracellular acidification rate (ECAR) were measured on Seahorse XFe96 Analyzer (Agilent Technologies) and data were analyzed using Wave software (Agilent Technologies).
Measurement of mitochondrial membrane potential
Leukemic cells were incubated with tetramethylrhodamine ethyl ester (TMRE, ab113852, Abcam) at 37 °C for 20 min in concentration of 400 nM. Measurement of mitochondrial membrane potential was performed using FACSCanto II Flow Cytometer (BD biosciences), and data were analyzed by FlowJo software (BD biosciences).
Metabolome analysis
The cell suspension was transferred to a tube and centrifuged to pellet the cells. Culture medium was aspirated from the tube, and the cells were washed with 10 ml of 5% mannitol solution. The cells were then treated with 800 µL of methanol and vortexed for 30 sec to suppress enzyme activity. Next, 550 µL of Milli-Q water containing internal standards (H3304-1002, Human Metabolome Technologies, Inc. (HMT), Tsuruoka, Yamagata, Japan) was added to the cell extract, which was vortexed for another 30 s. The extract was then centrifuged at 2300 × g, 4 °C for 5 min, after which 700 µL of the supernatant was centrifugally filtered through a Millipore 5-kDa cutoff filter (UltrafreeMC-PLHCC, HMT) at 9100 × g, 4 °C for 120 min to remove macromolecules. Subsequently, the filtrate was evaporated to dryness under vacuum and reconstituted in 50 µL of Milli-Q water for metabolome analysis at HMT. Metabolome analysis was conducted according to HMT’s ω Scan package, using capillary electrophoresis Fourier transform mass spectrometry (CE-FTMS) based on the methods described previously [23].
Statistical analysis
The sample size for animal experiments was calculated using power analysis to ensure over 80% power at a 5% error rate. Comparisons between two groups were conducted using Student’s t test (unpaired, two-tailed) for normally distributed data. For data not following normal distribution, Welch’s t test was employed. The F-test was used to assess the normality of distribution. Results are expressed as mean ± standard deviation (SD). Neither randomization nor blinding was implemented in the study. All samples and animals were included in the analysis. Kaplan-Meier survival analysis was performed using the Mantel-Cox test. All graphs and statistical analyses were executed using GraphPad Prism software (version 10.1.2).
Results
Loss of TRAF6 impairs leukemic cell function in vitro and in vivo
To examine the role of TRAF6 in AML cells, we first compared the expression of TRAF6 in bone marrow (BM) cells from AML patient samples with that of healthy controls using a publicly available database [24]. RNA-seq analysis revealed that the mRNA levels of TRAF6 in AML were higher compared with that in healthy controls (Fig. 1A), suggesting the potential importance of TRAF6 in leukemogenesis. We previously demonstrated that the loss of TRAF6 in BM cells with a deficiency of Tet2, which is the most frequently observed CHIP-associated mutation, results in transformation to leukemia in mice [20]. However, the role of TRAF6 in leukemia cells, rather than transformation from CHIP-associated mutants, remains unclear. We addressed this by knocking down TRAF6 in various human AML cell lines, including HEL, TF-1, MV4;11, MOLM14, and THP-1, using a doxycycline (DOX)-inducible shRNA system. TRAF6 knockdown notably inhibited proliferation in all tested cell lines except THP-1 (Fig. 1B, C). To identify the basis for the reduced cell number in TRAF6-knockdown leukemia cells, we determined the effect of TRAF6 loss on apoptosis and cell cycle dynamics. Cell cycle analysis revealed that the loss of TRAF6 led to an increased proportion of cells in the G1 phase and a decreased proportion in the S phase among HEL, TF-1, MV4;11, and MOLM14 cells (Fig. 1D-E). Conversely, TRAF6 loss did not significantly impact apoptosis in these cells (data not shown). These observations suggest that the inhibitory effects of TRAF6 loss on leukemic cell proliferation stem from altered cell cycle progression rather than from increased apoptosis. To validate these findings in vivo, we established a myeloid leukemia model induced by the leukemic fusion gene MLL-AF9 [22]. Isolated lineage− (Lin−) BM cells, derived from TRAF6+/+;MxCre and TRAF6flox/flox;MxCre mice [25], were retrovirally transduced with vectors expressing MLL-AF9 (MSCV-IRES-GFP) and then serially replated in methylcellulose medium to select transformed cells. The transformed BM cells (CD45.2+) were transplanted into lethally-irradiated recipient mice along with wild-type BM cells (CD45.1+). At day 14 post-transplant, TRAF6 was deleted by intraperitoneally injecting polyinosinic-polycytidylic acid (pIpC) (Fig. 1F). As expected, the mice engrafted with MLL-AF9;Traf6+/+ cells developed a rapid and fully penetrant AML up to 100 days post-transplantation (Fig. 1G). In contrast, mice engrafted with MLL-AF9;Traf6−/− cells developed a significantly delayed leukemia (Fig. 1G). Consistent with these findings, an immunophenotypic analysis of peripheral blood revealed a reduced leukemic burden in the mice engrafted with MLL-AF9; Traf6−/− cells compared with those engrafted with MLL-AF9;Traf6+/+ cells at the time point (Fig. 1H). Cell cycle assessments in murine MLL-AF9 leukemic cells confirmed that TRAF6 loss impairs cell cycle progression as observed in human leukemic cells (Fig. 1I–J). Together, these findings affirm that TRAF6 loss suppresses leukemic cell function both in vitro and in vivo.
TRAF6 expression in AML is inversely correlated with mitochondria-related gene signatures
To determine the molecular mechanism of the inhibitory effects of TRAF6 loss on leukemia function, we stratified AML patient samples based on TRAF6 expression and compared the gene expression profiles between AML with high (Z score >1.0, hereafter TRAF6hi AML) and low (Z score <1.0, hereafter TRAF6low AML) TRAF6 expression. TRAF6 is not only a central mediator of innate immune signaling, but is also involved in other immune functions, such as T cell receptor (TCR) signaling and immune control mediated by regulatory T cells [26, 27]. As expected, gene set enrichment analysis revealed that immune-related gene sets, such as those associated with FOXP3 targets, MAPK signaling, and TCR signaling, were significantly enriched in TRAF6hi AML cells (Fig. 2A). Interestingly, the most enriched gene sets in TRAF6low AML cells included mitochondrial function-associated processes, such as oxidative phosphorylation (OXPHOS), respiratory electron transport, and the TCA (tricarboxylic acid) cycle (Fig. 2A, B, D). Furthermore, gene sets related to neurodegenerative diseases, such as Huntington’s, Parkinson’s, and Alzheimer’s disease, of which mitochondrial dysfunction plays a central role in pathogenesis, were also overrepresented in TRAF6low AML cells (Fig. 2A, C) [28]. Similarly, knocking down TRAF6 in HEL, MV4;11, MOLM14, and TF-1 cells—but not in THP-1 cells—induced mitochondrial-related gene expression signatures (Fig. 2B, C, E). Notably, the absence of such enrichment in THP-1 cells aligns with our observations that TRAF6 loss did not impact their proliferation, suggesting a possible link between the mitochondrial gene expression profile and the proliferative capacity affected by TRAF6 status (Fig. 2B, C, E). This pattern was also present in murine MLL-AF9;Traf6−/− leukemic cells (Fig. 2B, C, F). These results suggest that TRAF6 loss in AML may be linked to alterations in the expression of genes involved in mitochondrial processes.
Loss of TRAF6 in AML results in the perturbation of mitochondrial function
Mitochondria are cellular organelles that generate energy and metabolites required for cell survival and growth. Energy in the form of adenosine triphosphate (ATP) is primarily generated in mitochondria by the OXPHOS process, in which byproducts of the TCA cycle feed the electron transport chain (ETC) complexes and their electrons pass through the ETC. As the electrons are funneled through the various complexes of the inner mitochondrial membrane, the ETC generates a mitochondrial membrane potential (MMP) that produces ATP [29]. To ascertain the impact of TRAF6 loss on mitochondrial function in AML, we assessed MMP using tetramethylrhodamine-ethyl ester dye in leukemia cells. Post TRAF6 knockdown, HEL and TF-1 cells exhibited a reduction in MMP compared to controls (Fig. 3A, B and Supplemental Fig. 1A). Further evaluation of mitochondrial function with an extracellular flux analyzer indicated a decrease in respiratory capacity in TRAF6-knockdown HEL and TF-1 cells (Fig. 3C, D and Supplemental Fig. 1B). Conversely, MV4;11 and MOLM14 cells did not exhibit notable changes in MMP or respiratory capacity (Supplemental Fig. 1C–F). This lack of change suggests that these cell lines might compensate for mitochondrial function disruption through the upregulation of mitochondrial genes, and that other molecular mechanisms may mitigate the effects of TRAF6 knockdown on their proliferation. Similarly, murine MLL-AF9;Traf6−/− leukemic cells displayed a decreased MMP and reduced mitochondrial respiratory capacity compared to their Traf6+/+ counterparts (Fig. 3E–H). Collectively, these findings indicate that TRAF6 loss can lead to mitochondrial dysfunction in leukemic cells, contributing to the observed phenotypic alterations in a subset of AML cases.
TRAF6 loss in AML gives rise to metabolic alterations
Mitochondria are essential organelles that act as metabolic hubs and signaling platforms within the cell. Therefore, we evaluated the effect of TRAF6 loss on the metabolic profiles of leukemia cells by metabolome analysis. Heatmap and principal component analysis revealed that TRAF6 loss in HEL cells induced dynamic changes in several metabolites (Fig. 4A, B). Since we observed reduced MMP and impaired mitochondrial respiratory capacity in TRAF6 knockdown leukemic cells (Fig. 3A–E), we first noted alterations in intermediates of the TCA cycle (Supplemental Fig. 2A). Consistent with our findings, the level of multiple metabolites in the TCA cycle, including 2-oxoglutaric acid, succinic acid, fumaric acid, and malic acid were reduced in TRAF6 knockdown HEL cells (Fig. 4C). For energy generation through the TCA cycle, glucose in the cytoplasm ultimately breaks down into pyruvic acid, which is transported to the mitochondria and metabolized into acetyl-CoA under aerobic conditions (Supplemental Fig. 2A). The level of most intermediates in the glycolytic pathway, including glucose 6-phosphate (G6P), fructose 6-phosphate, fructose 1,6-diphosphate, and pyruvic acid were reduced in TRAF6 knockdown HEL cells, suggesting a possible cause for the reduction of intermediates in the TCA cycle (Fig. 4D). Furthermore, TRAF6 loss resulted in the reduction of most intermediates in the pentose phosphate pathway (PPP), such as phosphogluconic acid, ribulose 5-phosphate, ribose 5-phosphate, and phosphoribosyl pyrophosphate (Fig. 4E). Because PPP plays important role in purine synthesis (Supplemental Fig. 2A), we examined the metabolites in the purine synthetic pathway. Indeed, the level of inosine monophosphate, deoxyadenosine triphosphate, and deoxyguanosine triphosphate, which acts as a precursor for nucleic acid synthesis during replication, was decreased upon TRAF6 loss (Fig. 4F). These reductions in a broad spectrum of metabolic intermediates led us to speculate that TRAF6 loss might suppress glucose uptake, thus affecting leukemic cell metabolism. However, assessments of glucose uptake and intracellular glucose levels in TRAF6-knockdown HEL and TF-1 cells revealed minimal changes in these parameters (Supplemental Fig. 3A, B). Furthermore, intracellular glucose level in murine MLL-AF9;Traf6−/− leukemic cells was higher than in control cells (Supplemental Fig. 3A), suggesting that accumulation of unused intracellular glucose due to the impairment of cascade reactions in metabolic pathways. Glucose uptake capacity in murine MLL-AF9;Traf6−/− leukemic cells was suppressed compared with controls (Supplemental Fig. 3B), implying a negative feedback effect for high intracellular glucose levels. These findings indicate that TRAF6 loss leads to a global reduction in metabolic intermediates through mechanisms independent of glucose uptake capacity. Typically, mitochondrial dysfunction prompts enhanced glycolysis to compensate for reduced ATP production by impaired OXPHOS [30]. However, the evaluation of extracellular acidification rate (ECAR) in TRAF6-knockdown HEL and TF-1 cells, as well as murine MLL-AF9;Traf6−/− leukemic cells, revealed the absence of such compensatory action (Supplemental Fig. 3C). This suggests that the metabolic changes induced by TRAF6 loss in leukemic cells are mediated through mechanisms affecting a broad range of cellular processes. Since metabolic reprogramming is a hallmark of malignancy and crucial for supporting the heightened proliferation of tumor cells [31], our results imply that TRAF6 loss in leukemia cells induces metabolic alterations, contributing to their inhibited growth capacity.
OGT is a potential mediator of metabolic reprogramming regulated by TRAF6 in leukemia
To identify the mechanism of metabolic alterations driven by TRAF6 loss in leukemia, we compared the upregulated genes in TRAF6-knockdown HEL cells (1.5-fold, P < 0.05) (Supplemental Table 1) with the 130 previously identified essential genes for AML cell survival in vitro and in vivo [32]. We found that 8 genes overlapped, and O-GlcNAc transferase (OGT) and ETNK1 were associated with mitochondrial function and leukemia cell survival (Fig. 5A) [33, 34]. Stratification of AML patients revealed that TRAF6 gene expression in human AML patient samples was positively correlated with the expression of OGT, but not ETNK1 (Fig. 5B and data not shown). Correspondingly, TRAF6 knockdown in HEL and TF-1 cells also led to reduced OGT protein levels (Fig. 5C). Intriguingly, in MV4;11 and MOLM14 cells, where TRAF6 loss did not significantly affect mitochondrial function (Supplemental Fig. 1C–F), OGT expression was also suppressed (Fig. 5C), suggesting a broader positive correlation between TRAF6 and OGT expression in leukemic cells. Furthermore, stratification of AML patients revealed that OGT-low patients were associated with longer overall survival (P < 0.001) (Fig. 5D). This led us to investigate OGT as a mediator of TRAF6-regulated mitochondrial function in leukemia cells. To evaluate the role of OGT in leukemia progression, we examined the impact of OGT loss or inhibition on leukemic cell growth. Inducing OGT-targeted shRNAs in HEL and TF-1 cells significantly reduced cell numbers (Fig. 5E). Furthermore, treatment with the OGT inhibitor OSMI-1 suppressed cell growth in the leukemic cells, correlating with diminished mitochondrial respiratory function (Fig. 5F–H). Similar trends were observed in murine MLL-AF9 leukemic cells, showing a positive correlation between Traf6 and Ogt levels, and susceptibility to OSMI-1, along with changes in mitochondrial respiratory function (Fig. 5I–L). These findings suggest that OGT loss mimics TRAF6 loss effects on leukemia cell metabolism and growth capacity.
O-GlcNAc modification is a potential contributor to TRAF6-mediated metabolic reprogramming and leukemia progression
To investigate OGT’s role in the regulation of mitochondrial function mediated by TRAF6 in leukemia, we utilized a lentiviral system to overexpress OGT in TRAF6 knockdown human leukemic cells, examining its impact on growth capacity. The forced overexpression of OGT successfully counteracted inhibitory effect of TRAF6 loss on the proliferation defect in HEL and TF-1, along with a corresponding recovery in mitochondrial respiratory capacity (Fig. 6A–D). This result suggests a link between OGT and the metabolic dysregulation due to TRAF6 loss, affecting leukemic cell proliferation. However, in murine MLL-AF9;Traf6−/− leukemic cells, OGT overexpression did not rectify the proliferation defect (Supplemental Fig. 4A). This observation aligns with previous research indicating that both excessive and insufficient levels of OGT can negatively impact cell metabolism and proliferation [35].
OGT catalyzes the addition of an O-GlcNAc moiety to serine or threonine residues of protein substrates, while O-GlcNAcase (OGA) removes these modifications (Fig. 6E) [36]. Notably, the level of O-GlcNAc modification was reduced in TRAF6-knockdown HEL and TF-1 cells, as well as in murine MLL-AF9;Traf6−/− leukemic cells (Fig. 6F and Supplemental Fig. 4B). Given that numerous metabolic enzymes are O-GlcNAc targets [36, 37], we hypothesized that the reduction in this modification disrupts metabolic reprogramming caused by TRAF6 loss in leukemia. To test this hypothesis, we examined the effects of the OGA inhibitor MK8719 on the growth capacity of leukemia cells impacted by TRAF6 loss. MK8719 treatment in TRAF6-knockdown HEL cells and murine MLL-AF9;Traf6–/– leukemic cells restored O-GlcNAc levels (Fig. 6G and Supplemental Fig. 4C) and inhibited the effects of TRAF6 loss on growth capacity, correlating with a recovery in mitochondrial respiratory function (Fig. 6H–J and Supplemental Fig. 4D-F). However, MK8719 did not correct the proliferation defect in TRAF6-knockdown TF-1 cells (data not shown). Given that a broad range of metabolic enzymes are targets of O-GlcNAcylation, the metabolic status in leukemia cells is likely finely regulated by the balance between OGT and OGA expression and activity.
Taken together, these results suggest that the fine-tuned and complex regulation of O-GlcNAc modification plays an influential role in TRAF6-mediated metabolic reprogramming of leukemic cells.
Discussion
The role of TRAF6 in myeloid malignancies is complex. Overexpression of TRAF6 occurs in HSPCs from MDS patients, and correspondingly, hematopoietic-specific TRAF6 overexpression in mice results in an MDS-like phenotype [18, 38]. Conversely, TRAF6 expression is diminished in MPN and a subset of AML patients. Furthermore, the absence of TRAF6 in Tet2-deficient pre-leukemic cells has been shown to promote the transition to overt leukemia in mice [20]. Our finding, demonstrating elevated TRAF6 expression in AML, led us to further explore TRAF6’s role in AML models, both in vitro and in vivo. These investigations have revealed that TRAF6 loss impedes AML progression, aligning with the oncogenic function of TRAF6 observed in our current study. Meanwhile, as described above, the previous study has suggested a tumor suppressive role in a Tet2-deficient pre-leukemic context. This contrast underscores the complexity of TRAF6’s function, which may vary significantly depending on the specific disease type and context. Such variability in function is not solely observed in TRAF6 but is also a characteristic of other cancer-associated genes, including TP53 [39] and EZH2 [40, 41]. Future research should focus on delineating TRAF6’s impact across a broad spectrum of diseases and their progression stages, including various contexts of CHIP, not limited to TET2-deficiency. This multifaceted approach is crucial to fully grasp TRAF6’s contributions to the dynamics of myeloid malignancies and to elucidate its potential context-dependent roles across different phases of disease development.
TRAF6 is an E3 ligase involved in innate immune signaling pathway activation. We previously demonstrated that TRAF6 expression in MDS cells is associated with the upregulation of inflammatory and immune-related genes [19]. TLR-TRAF6 signaling is activated in MDS cells and exhibits an altered response to chronic inflammation. This response contributes to a competitive advantage for MDS cells over normal HSPCs through non-canonical NF-κB signaling activation [19]. In the present study, TRAF6 expression in AML minimally affected inflammatory and immune-related gene expression (Fig. 2A), suggesting that TRAF6 expression has a differential impact on the gene expression profiles between AML and MDS. Therefore, a molecular mechanism mediated by TRAF6 other than the innate immune pathway activation may be involved in the pathogenesis of AML. Our in vitro validation experiments identified a novel role of TRAF6 in the regulation of metabolic reprogramming in AML cells. Gene expression analysis of publicly available datasets representing human AML samples revealed that reduced expression of TRAF6 is associated with mitochondrial function-related and disorder-related gene sets, such as Huntington’s, Parkinson’s, and Alzheimer’s diseases (Fig. 2A). Induction of shRNA targeting TRAF6 in leukemia cells resulted in the impairment of mitochondrial function as evidenced by a reduction of MMP, basal respiration, maximal respiration, and ATP production (Fig. 3 and Supplemental Fig. 1). Consistent with these findings, metabolome analysis revealed that the levels of most metabolites in the TCA cycle were decreased in TRAF6 knockdown leukemic cells (Fig. 4C). Interestingly, most metabolites in the glycolytic pathway, which converts glucose to pyruvate and acetyl-CoA as the first step in the TCA cycle in the mitochondria, were also reduced (Fig. 4D). Furthermore, metabolome analysis revealed that the nucleotide biosynthesis pathway, which is downstream of the PPP, is impaired during TRAF6 loss (Fig. 4F). Altogether, these observations suggest that TRAF6 loss in AML results in dynamic changes in metabolites and results in the disruption of metabolic reprogramming in leukemic cells.
The mechanism through which alterations in the metabolites of leukemic cells during TRAF6 loss impair cell growth is an important issue. Metabolic reprogramming is a hallmark of cancer cells to support the increased energy required for continuous growth and rapid proliferation [42]. For example, AML cells have high glycolytic activity and increased levels of anabolic precursors, such as intermediates of glycolysis, the PPP, and the TCA cycle, which also occurs in leukemia cells [43]. These metabolites are required for the production of energy, nucleotides, amino acids, and fatty acids, which contribute to the rapid proliferation of leukemia cells [43]. Indeed, cell cycle analysis in this study indicated that TRAF6 loss in leukemic cells resulted in a reduction of cell cycle progression (Fig. 1D, E, I–J). Therefore, our results suggest that the TRAF6 loss-mediated reduction of intermediates in various metabolic pathways results in a lack of fuel for the growth of leukemic cells.
Another possible mechanism resulting from TRAF6 loss on growth capacity involves chromatin modification and DNA methylation mediated by metabolites of the TCA cycle. For example, 2-oxoglutarate is an obligate co-substrate of Fe(II)/2-oxoglutarate-dependent dioxygenases (OGDD), which includes epigenetic modification enzymes, such as the ten-eleven translocation DNA demethylase and the Jumonji C domain-containing KDM2-7 histone demethylase. Thus, 2-oxoglutarate has a direct impact on gene expression by regulating histones and DNA demethylases [29]. Furthermore, succinate is considered an oncometabolite as evidenced by its accumulation in several cancers with inactivating mutations in succinate dehydrogenase [29]. Succinate is the product of OGDD-catalyzed reactions and when it accumulates, it acts as an antagonist of the reaction. Consequently, changes in succinate levels have profound effects on histones and DNA methylation, which subsequently results in gene expression changes [29]. Fumarate, another metabolite in the TCA cycle, is also a competitive inhibitor of multiple 2-oxoglutarate-dependent dioxygenases, including histone demethylases and the TET family [44,45,46,47]. Therefore, TRAF6 loss may give rise to epigenetic changes resulting from reduced levels of TCA cycle intermediates, which ultimately leads to an inhibitory effect on the proliferation of leukemic cells.
O-GlcNAc modification, catalyzed by OGT (introducer) and OGA (remover), is a significant posttranslational modification with a noted increase in cancer contexts [48, 49]. Previous studies identified OGT as an essential gene for AML survival [32] and our data show a positive correlation between OGT and TRAF6 transcript levels in AML. Given OGT’s role in maintaining hematopoietic stem cells by ensuring mitochondrial quality [34], we proposed that OGT loss-induced changes in O-GlcNAc modification could underlie the metabolic alterations associated with TRAF6 loss in AML. Forced expression of OGT or inhibition of OGA in TRAF6-knockdown AML cells restored mitochondrial respiratory capacity and countered growth suppression (Fig. 6), underscoring O-GlcNAc modification’s impact on cell metabolism. Numerous enzymes in pathways like glycolysis, the pentose phosphate pathway (PPP), and the TCA cycle are O-GlcNAc targets [36, 37]. Although the exact effects of O-GlcNAc modification on these enzymes in leukemic cells remain to be fully elucidated, existing studies indicate that O-GlcNAc modification of metabolic enzymes, such as G6P dehydrogenase and fumarate hydratase, can promote the growth of certain solid tumors by inducing metabolic and epigenetic changes [50, 51]. These insights suggest that OGT-induced O-GlcNAc modifications could be a potential molecular contributor to TRAF6-mediated metabolic reprogramming in leukemic cells.
A major gap in our understanding of TRAF6-mediated metabolic reprogramming in AML is a lack of understanding of TRAF6-mediated regulation of OGT expression. Although TRAF6 plays an important role in the innate immune pathway activation by K63-ubiquitination of TRAF6 itself, it also affects the function of other target proteins through K63-ubiquitination. For example, TRAF6-mediated K63-ubiquitination of FOXP3, which is a key transcription factor in the development and function of regulatory T cells (Tregs), promotes the nuclear accumulation of FOXP3 and contributes to Treg gene expression and function [26]. Human DNA2 nuclease/helicase is also K63-ubiquitinated by TRAF6 and ubiquitination promotes its nuclear localization [52]. In hepatocellular carcinoma cells, TRAF6 has oncogenic potential by interacting with and ubiquitinating HDAC3 with K63-linked ubiquitin chains, which leads to the dissociation of HDAC3 from the c-Myc promoter. This epigenetically enhances the expression of c-Myc mRNA [53]. It will be worth exploring whether these mechanisms, including those involving in epigenetic and transcription, affect the transcriptional regulation of OGT by TRAF6 in leukemic cells.
In summary, our study underscores the role of TRAF6 in modulating metabolic processes and cellular dynamics in leukemia. We suggest that O-GlcNAc modification, mediated by OGT, represents a significant molecular pathway in TRAF6-driven metabolic reprogramming. Identifying specific OGT target proteins in AML and further analyzing how such modifications influence protein function are essential next steps. These efforts will enhance our understanding of the TRAF6-OGT-O-GlcNAc axis in leukemia, potentially opening new avenues for therapeutic intervention.
Data availability
All gene expression data are available at GSE254614, GSE254615 and GSE254616.
References
Dohner H, Weisdorf DJ, Bloomfield CD. Acute myeloid leukemia. N Engl J Med. 2015;373:1136–52.
Kantarjian H, Kadia T, DiNardo C, Daver N, Borthakur G, Jabbour E, et al. Acute myeloid leukemia: current progress and future directions. Blood Cancer J. 2021;11:41.
Cancer Genome Atlas Research N, Ley TJ, Miller C, Ding L, Raphael BJ, Mungall AJ, et al. Genomic and epigenomic landscapes of adult de novo acute myeloid leukemia. N Engl J Med. 2013;368:2059–74.
Chen A, Hu S, Wang QF. Tumor heterogeneity of acute myeloid leukemia: insights from single-cell sequencing. Blood Sci. 2019;1:73–76.
Hinohara K, Polyak K. Intratumoral heterogeneity: more than just mutations. Trends Cell Biol. 2019;29:569–79.
Li S, Mason CE, Melnick A. Genetic and epigenetic heterogeneity in acute myeloid leukemia. Curr Opin Genet Dev. 2016;36:100–6.
Abelson S, Collord G, Ng SWK, Weissbrod O, Mendelson Cohen N, Niemeyer E, et al. Prediction of acute myeloid leukaemia risk in healthy individuals. Nature. 2018;559:400–4.
Busque L, Buscarlet M, Mollica L, Levine RL. Concise review: age-related clonal hematopoiesis: stem cells tempting the devil. Stem Cells. 2018;36:1287–94.
Desai P, Mencia-Trinchant N, Savenkov O, Simon MS, Cheang G, Lee S, et al. Somatic mutations precede acute myeloid leukemia years before diagnosis. Nat Med. 2018;24:1015–23.
Jaiswal S, Ebert BL. Clonal hematopoiesis in human aging and disease. Science. 2019;366:eaan4673.
Yamamoto M, Gohda J, Akiyama T, Inoue JI. TNF receptor-associated factor 6 (TRAF6) plays crucial roles in multiple biological systems through polyubiquitination-mediated NF-kappaB activation. Proc Jpn Acad Ser B Phys Biol Sci. 2021;97:145–60.
Yang WL, Wang J, Chan CH, Lee SW, Campos AD, Lamothe B, et al. The E3 ligase TRAF6 regulates Akt ubiquitination and activation. Science. 2009;325:1134–8.
Oh SY, Kang N, Kang JY, Kim KW, Choi JH, Yang YM, et al. Sestrin2 regulates osteoclastogenesis via the p62-TRAF6 interaction. Front Cell Dev Biol. 2021;9:646803.
Li S, Lu K, Wang J, An L, Yang G, Chen H, et al. Ubiquitin ligase Smurf1 targets TRAF family proteins for ubiquitination and degradation. Mol Cell Biochem. 2010;338:11–17.
Barreyro L, Chlon TM, Starczynowski DT. Chronic immune response dysregulation in MDS pathogenesis. Blood. 2018;132:1553–60.
Sallman DA, List A. The central role of inflammatory signaling in the pathogenesis of myelodysplastic syndromes. Blood. 2019;133:1039–48.
Trowbridge JJ, Starczynowski DT. Innate immune pathways and inflammation in hematopoietic aging, clonal hematopoiesis, and MDS. J Exp Med. 2021;218:e20201544.
Fang J, Bolanos LC, Choi K, Liu X, Christie S, Akunuru S, et al. Ubiquitination of hnRNPA1 by TRAF6 links chronic innate immune signaling with myelodysplasia. Nat Immunol. 2017;18:236–45.
Muto, Walker T, Choi CS, Hueneman K, Smith MA K, Gul Z, et al. Adaptive response to inflammation contributes to sustained myelopoiesis and confers a competitive advantage in myelodysplastic syndrome HSCs. Nat Immunol. 2020;21:535–45.
Muto T, Guillamot M, Yeung J, Fang J, Bennett J, Nadorp B, et al. TRAF6 functions as a tumor suppressor in myeloid malignancies by directly targeting MYC oncogenic activity. Cell Stem Cell. 2022;29:298–314.e299.
Han D, Walsh MC, Cejas PJ, Dang NN, Kim YF, Kim J, et al. Dendritic cell expression of the signaling molecule TRAF6 is critical for gut microbiota-dependent immune tolerance. Immunity. 2013;38:1211–22.
Krivtsov AV, Twomey D, Feng Z, Stubbs MC, Wang Y, Faber J, et al. Transformation from committed progenitor to leukaemia stem cell initiated by MLL-AF9. Nature. 2006;442:818–22.
Sasaki K, Sagawa H, Suzuki M, Yamamoto H, Tomita M, Soga T, et al. Metabolomics platform with capillary electrophoresis coupled with high-resolution mass spectrometry for plasma analysis. Anal Chem. 2019;91:1295–301.
Tyner JW, Tognon CE, Bottomly D, Wilmot B, Kurtz SE, Savage SL, et al. Functional genomic landscape of acute myeloid leukaemia. Nature. 2018;562:526–31.
Fang J, Muto T, Kleppe M, Bolanos LC, Hueneman KM, Walker CS, et al. TRAF6 mediates basal activation of nf-kappab necessary for hematopoietic stem cell homeostasis. Cell Rep. 2018;22:1250–62.
Ni X, Kou W, Gu J, Wei P, Wu X, Peng H, et al. TRAF6 directs FOXP3 localization and facilitates regulatory T-cell function through K63-linked ubiquitination. EMBO J. 2019;38:e99766.
Xie JJ, Liang JQ, Diao LH, Altman A, Li Y. TNFR-associated factor 6 regulates TCR signaling via interaction with and modification of LAT adapter. J Immunol. 2013;190:4027–36.
Xu S, Zhang X, Liu C, Liu Q, Chai H, Luo Y, et al. Role of mitochondria in neurodegenerative diseases: from an epigenetic perspective. Front Cell Dev Biol. 2021;9:688789.
Martinez-Reyes I, Chandel NS. Mitochondrial TCA cycle metabolites control physiology and disease. Nat Commun. 2020;11:102.
Seyfried TN, Arismendi-Morillo G, Mukherjee P, Chinopoulos C. On the origin of ATP synthesis in cancer. iScience. 2020;23:101761.
Castro I, Sampaio-Marques B, Ludovico P. Targeting metabolic reprogramming in acute myeloid leukemia. Cells. 2019;8:967.
Yamauchi T, Masuda T, Canver MC, Seiler M, Semba Y, Shboul M, et al. Genome-wide CRISPR-Cas9 screen identifies leukemia-specific dependence on a pre-mrna metabolic pathway regulated by DCPS. Cancer Cell. 2018;33:386–400.e385.
Fontana D, Mauri M, Renso R, Docci M, Crespiatico I, Rost LM, et al. ETNK1 mutations induce a mutator phenotype that can be reverted with phosphoethanolamine. Nat Commun. 2020;11:5938.
Murakami K, Kurotaki D, Kawase W, Soma S, Fukuchi Y, Kunimoto H, et al. OGT regulates hematopoietic stem cell maintenance via PINK1-dependent mitophagy. Cell Rep. 2021;34:108579.
Umapathi P, Mesubi OO, Banerjee PS, Abrol N, Wang Q, Luczak ED, et al. Excessive O-GlcNAcylation causes heart failure and sudden death. Circulation. 2021;143:1687–703.
Ruan HB, Singh JP, Li MD, Wu J, Yang X. Cracking the O-GlcNAc code in metabolism. Trends Endocrinol Metab. 2013;24:301–9.
Bacigalupa ZA, Bhadiadra CH, Reginato MJ. O-GlcNAcylation: key regulator of glycolytic pathways. J Bioenerg Biomembr. 2018;50:189–98.
Starczynowski DT, Kuchenbauer F, Argiropoulos B, Sung S, Morin R, Muranyi A, et al. Identification of miR-145 and miR-146a as mediators of the 5q- syndrome phenotype. Nat Med. 2010;16:49–58.
Soussi T, Wiman KG. TP53: an oncogene in disguise. Cell Death Differ. 2015;22:1239–49.
Hock H. A complex Polycomb issue: the two faces of EZH2 in cancer. Genes Dev. 2012;26:751–5.
Skoda RC, Schwaller J. Dual roles of EZH2 in acute myeloid leukemia. J Exp Med. 2019;216:725–7.
Cazzaniga M, Bonanni B. Relationship between metabolic reprogramming and mitochondrial activity in cancer cells. understanding the anticancer effect of metformin and its clinical implications. Anticancer Res. 2015;35:5789–96.
Panina SB, Pei J, Kirienko NV. Mitochondrial metabolism as a target for acute myeloid leukemia treatment. Cancer Metab. 2021;9:17.
Xiao M, Yang H, Xu W, Ma S, Lin H, Zhu H, et al. Inhibition of alpha-KG-dependent histone and DNA demethylases by fumarate and succinate that are accumulated in mutations of FH and SDH tumor suppressors. Genes Dev. 2012;26:1326–38.
Sciacovelli M, Goncalves E, Johnson TI, Zecchini VR, da Costa AS, Gaude E, et al. Fumarate is an epigenetic modifier that elicits epithelial-to-mesenchymal transition. Nature. 2016;537:544–7.
Laukka T, Mariani CJ, Ihantola T, Cao JZ, Hokkanen J, Kaelin WG Jr., et al. Fumarate and Succinate Regulate Expression of Hypoxia-inducible Genes via TET Enzymes. J Biol Chem. 2016;291:4256–65.
Jiang Y, Qian X, Shen J, Wang Y, Li X, Liu R, et al. Local generation of fumarate promotes DNA repair through inhibition of histone H3 demethylation. Nat Cell Biol. 2015;17:1158–68.
Ma Z, Vosseller K. Cancer metabolism and elevated O-GlcNAc in oncogenic signaling. J Biol Chem. 2014;289:34457–65.
Liu C, Li J. O-GlcNAc: a sweetheart of the cell cycle and DNA damage response. Front Endocrinol (Lausanne). 2018;9:415.
Rao X, Duan X, Mao W, Li X, Li Z, Li Q, et al. O-GlcNAcylation of G6PD promotes the pentose phosphate pathway and tumor growth. Nat Commun. 2015;6:8468.
Wang T, Yu Q, Li J, Hu B, Zhao Q, Ma C, et al. O-GlcNAcylation of fumarase maintains tumour growth under glucose deficiency. Nat Cell Biol. 2017;19:833–43.
Meng Y, Liu C, Shen L, Zhou M, Liu W, Kowolik C, et al. TRAF6 mediates human DNA2 polyubiquitination and nuclear localization to maintain nuclear genome integrity. Nucleic Acids Res. 2019;47:7564–79.
Wu H, Yang TY, Li Y, Ye WL, Liu F, He XS, et al. Tumor necrosis factor receptor-associated factor 6 promotes hepatocarcinogenesis by interacting with histone deacetylase 3 to enhance c-Myc gene expression and protein stability. Hepatology. 2020;71:148–63.
Acknowledgements
This work was supported in parts by Japan Society for the Promotion of Science (20K22933 and 21H02946 to T.M.), The Mochida Memorial Foundation for Medical and Pharmaceutical Research (T.M.), SENSHIN Medical Research Foundation (T.M.), Astellas Foundation for Research on Metabolic Disorders (T.M.), Friends of Leukemia Research Fund (T.M.), and The Naito Foundation (T.M.). TM is a Leukemia and Lymphoma Society Special Fellow. We thank Kota Kokubo (Department of Immunology, Graduate School of Medicine, Chiba University) for assistance with extracellular flux analysis.
Author information
Authors and Affiliations
Contributions
SM performed the experiments, analyzed the results, made the figures, and wrote the manuscript; CR performed in vitro experiments including qPCR and western blotting; KC analyzed and interpreted RNA-seq data; LCB performed mouse experiments; AS supported the experiments, including flow cytometric analysis; AI, KT, NO-H, ST, YT, NM, AY and KY provided critical advice on the project; DTS and ES supervised the project.; and TM conceived and directed the project, secured the funding, and wrote the manuscript.
Corresponding author
Ethics declarations
Competing interests
D.T.S. serves on the scientific advisory board at Kurome Therapeutics and is a consultant for and/or received funding from Kurome Therapeutics, Captor Therapeutics, Treeline Biosciences, and Tolero Therapeutics. D.T.S. has equity in Kurome Therapeutics. The other authors declare no competing interests.
Additional information
Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
About this article
Cite this article
Matsui, S., Ri, C., Bolanos, L.C. et al. Metabolic reprogramming regulated by TRAF6 contributes to the leukemia progression. Leukemia 38, 1032–1045 (2024). https://doi.org/10.1038/s41375-024-02245-3
Received:
Revised:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1038/s41375-024-02245-3
- Springer Nature Limited