Malonate as a ROS product is associated with pyruvate carboxylase activity in acute myeloid leukaemia cells
- Michelle A. C. Reed1,
- Christian Ludwig1, 3,
- Christopher M. Bunce2,
- Farhat L. Khanim†2 and
- Ulrich L. Günther†1Email author
© The Author(s). 2016
Received: 21 January 2016
Accepted: 1 July 2016
Published: 4 August 2016
The role of anaplerotic nutrient entry into the Krebs cycle via pyruvate carboxylase has been the subject of increased scrutiny and in particular whether this is dysregulated in cancer. Here, we use a tracer-based NMR analysis involving high-resolution 1H-13C-HSQC spectra to assess site-specific label incorporation into a range of metabolite pools, including malate, aspartate and glutamate in the acute myeloid leukaemia cell line K562. We also determine how this is affected following treatment with the redeployed drug combination of the lipid-regulating drug bezafibrate and medroxyprogesterone (BaP).
Using the tracer-based approach, we assessed the contribution of pyruvate carboxylase (PC) vs. pyruvate dehydrogenase (PDH) activity in the derivation of Krebs cycle intermediates. Our data show that PC activity is indeed high in K562 cells. We also demonstrate a branched entry to the Krebs cycle of K562 cells with one branch running counterclockwise using PC-derived oxaloacetate and the other clockwise from the PDH activity. Finally, we show that the PC activity of K562 cells exclusively fuels the ROS-induced decarboxylation of oxaloacetate to malonate in response to BaP treatment; resulting in further Krebs cycle disruption via depletion of oxaloacetate and malonate-mediated inhibition of succinate dehydrogenase (SDH) resulting in a twofold reduction of fumarate.
This study extends the interest in the PC activity in solid cancers to include leukaemias and further demonstrates the value of tracer-based NMR approaches in generating a more accurate picture of the flow of carbons and metabolites within the increasingly inappropriately named Krebs cycle. Moreover, our studies indicate that the PC activity in cancer cells can be exploited as an Achilles heel by using treatments, such as BaP, that elevate ROS production.
KeywordsCancer metabolism Pyruvate carboxylase AML Malonate
We have previously demonstrated the individual and combined anti-proliferative and pro-differentiating actions of a drug combination termed bezafibrate and medroxyprogesterone (BaP), consisting of the lipid-regulating drug bezafibrate (BEZ) and the steroid contraceptive medroxyprogesterone (MPA) against primary acute myeloid leukaemia (AML) cells and cell lines [1–4], Burkitt’s lymphoma (BL) cell lines  and primary chronic lymphocytic leukaemia cells . In addition, phase II trials of BaP in both AML and BL have demonstrated in vivo anti-tumour activity in the absence of toxicity [7, 8] and, in the case of AML, generated significant haematological responses in some patients .
We previously demonstrated that BaP treatment of KG1α, K562 and HL60 AML cell lines was associated with excess generation of reactive oxygen species (ROS), inducing a range of metabolic changes involving pathways related to the Krebs cycle, specifically increased succinate/fumarate ratios. The importance of ROS for novel therapies has also been recognised by others [9–11] who linked ROS to iron homeostasis  and AKT phosphorylation . Our observations also implicated direct ROS-mediated chemical conversion of metabolites including the conversion of α-ketoglutarate (α-KG) into succinate and of oxaloacetate to malonate [4, 12, 13]. Malonate is known to inhibit succinate dehydrogenase , thus interrupting the conversion of succinate to fumarate.
Here, we present a detailed tracer-based analysis of metabolism in K562 AML cells with and without exposure to BaP to decipher the origin of malonate and the relative contributions of pyruvate carboxylase (PC) and pyruvate dehydrogenase (PDH) activity for the entry of nutrients into the Krebs cycle. In order to determine site-specific label incorporations, we used NMR 1H-13C-HSQC spectra. In such spectra, every signal arises from a CH group in a metabolite. When acquired with sufficiently high resolution in the 13C-dimension, one can resolve couplings arising from adjacent 13C atoms providing crucial information about site-specific label incorporation. Previously, we have used this approach to study the distribution of 13C-labels arising from [1,2-13C]glucose and from [3-13C]glutamine in K562 cells . Here, we have used this analysis to trace the origin of malonate. Our analysis also sheds new light on pyruvate carboxylase activity in cancer cells, an issue that has been raised in various tumours [16–18].
K562 cells were cultured and polar cell extracts were prepared as described before . For tracer-based metabolic analysis, standard glucose- or glutamine-free RPMI-1640 media (Gibco) was used and substituted with 2 g/l [1,2-13C]glucose or 300 mg/l [3-13C]glutamine (Isotec, Sigma), respectively. 5 × 107 exponentially growing K562 cells per control or treatment were pelleted by centrifugation at 8000g for 5 min and resuspended in the relevant media with BaP or solvent controls and incubated for 24 or 3 h at 37 °C and 5 % CO2 in a humidified incubator. For BaP treatment, bezafibrate 0.5 mM and medroxyprogesterone acetate 5 μM (Sigma) or the equivalent concentrations of DMSO and ethanol solvent control were added to the media at T = 0 h.
For 3-h labelling of 24-h drug treatments, media was exchanged for the last 3 h with media supplemented with labelled glucose or glutamine plus BaP or solvent control. All samples were dissolved in 100 mM phosphate buffer with 10 % D2O and 500 μM Trimethylsilylpropanoic acid (TMSP) added.
NMR data acquisition
All spectra were acquired at 298 K on a Bruker 600 MHz spectrometer with a TCI 1.7 mm z-PFG cryogenic probe. 1H-13C-HSQC spectra were acquired using the Bruker sequence hsqcetgpsp.2 with added gradients during echoes, using 4096 points in the directly observed dimension for a sweep width of 13 ppm. Four thousand ninety-six increments, two scans and an inter-scan delay of 1.5 s were used. The 13C carrier was set to 80 ppm and a spectral width 159.0 ppm was used.
Processing of NMR spectra
All one-dimension spectra were processed using NMRLab  in MATLAB and further analysed using MetaboLab  as described before . In HSQC spectra peaks were picked and assigned in a semi-automated manner using MetaboLab. To calculate percentage label incorporations, the cross peaks in labelled spectra and reference spectra were compared. The 13C isotope constitutes about 1 % of naturally occurring carbon. Therefore, for more concentrated metabolites, cross peaks could be seen in the reference spectra. Peak intensities in control and reference spectra were used to calculate percentage incorporation of labels into particular carbons of metabolites as follows:
The percentage incorporation of 13C into peak X of metabolite Y in 13C-labelled media % equals 100 N/(D*S), where % = percentage incorporation, N = intensity of a signal of a metabolite in labelled media spectrum, D = intensity of a signal of a metabolite in the control spectrum, S = mean(ScaleFactor). ScaleFactor(i) = Nr/Dr, where Nr = intensity of peak i from reference metabolite in numerator spectrum, Dr = intensity of peak i from reference metabolite in denominator spectrum.
A reference metabolite was chosen as one of a group of metabolites that did not change intensity significantly between BaP and control spectra or between spectra for enriched and natural abundance media. Results were similar using myo-inositol, valine, leucine or isoleucine as the reference metabolite. Labelling was not considered significantly changed unless BaP treatment changed percentage label incorporation by a factor of 2.
For signals in spectra arising from [1,2-13C]glucose-labelled cells that showed CC-couplings, the peak intensity was the sum of the intensities for the split peaks. In some spectra, peaks could not be seen. In such cases, the peak intensity was set to the estimated noise level in that spectrum. That noise level is evaluated by searching for the maximum of the absolute value of the intensity seen in a region devoid of real signals.
When calculating percentage incorporations of 13C, it is the natural abundance reference spectrum peak intensity that may be missing. Substituting the dummy peak intensity tends to cause the percentage incorporation of 13C to be (conservatively) underestimated.
For spiking, a sample from a BaP-treated HL60 or K562 cell extract grown on unlabelled media was split into two. To the first sample, metabolomics buffer was added. To the second sample, an equal amount of metabolomics buffer containing 1 mM malonic acid was added. 1H-1D and 1H-13C-HSQC spectra were acquired. Spectra were aligned on TMSP and lactate, respectively, for overlay in 1D and 2D spectra.
NMR spectra indicate that large amounts of aspartate and malate are PC derived
For a 24-h labelling period, Fig. 2 shows apparent coupling constants of 53 Hz for C2 of malate and aspartate. This large apparent coupling constant shows that the coupling of C2 with the adjacent C1 carboxylic acid group predominates. This 13C1 13C2 coupling pattern (and also 13C3 13C4, see Additional file 1) arises from the PDH activity and possibly also from metabolites passing multiple times through the Krebs cycle for longer labelling period.
For the short 3-h labelling period, the smaller apparent coupling constants of 47 and 41 Hz are observed for C2 (Fig. 2 and Additional file 1: Figure S1), indicating that the coupling to the adjacent methylene C3 dominates. The presence of the 13C2 13C3 moiety at shorter labelling periods shows that the product arising from the PC activity dominates for shorter labelling periods.
It should be noted that the observed signal splittings do not represent the precise scalar coupling constants in a mixture of labelled compounds. Nevertheless, the observed change provides a clear indication of higher amounts of the PC product at shorter labelling periods in both malate and aspartate.
Further evidence for PC activity in subspectra of uracil
In de novo pyrimidine synthesis, uracil is formed from aspartate via carbamoyl-aspartate, orotate and dihydroorotate. Therefore, labelling patterns in aspartate should be reflected in pyrimidine ring signals. Additional file 2: Figure S2 shows expected label incorporations for uracil. When the uracil base in UDP is synthesised from aspartate, the destination of the 13Cs is as follows: C1, C2 and C3 of aspartate become respectively C10, C11 and C12 of UDP while C4 is lost (see Additional file 2). In HSQC spectra, only C11 and C12 are able to be directly observed, as C10 does not have an attached proton.
For [1,2-13C]glucose-labelled samples the PC-derived aspartate will be C2C3-labelled. This is converted to a labelled C11C12 fragment in UDP. However, PDH-derived aspartate can be labelled at C1C2 or C3C4. This translates into C10C11 or an isolated C12 in uracil, respectively. Therefore, spectra of C12 are indicative of relative amounts of PC vs. PDH activity; PC yields a doublet for C12, whereas PDH yields a singlet at C12.
BaP-induced malonate is derived from downstream PC activity in K562 cells
We have shown that malonate can be formed from oxaloacetate by chemical conversion under the influence of hydrogen peroxide and suggested in our previous study that malonate accumulation in response to BaP treatment was driven by treatment-induced elevation of ROS acting upon oxaloacetate . Samples were spiked with malonate to confirm our assignment of the malonate methylene 1H/13C resonances in HSQC spectra (see Additional files 3 and 4). Subsequently, in this study, our tracer-based approach has allowed us to consider the origins of the observed malonate.
Figure 4b shows a representative 1D slice from HSQC spectra arising from 24 h BaP-treated [1,2-13C]glucose-labelled cells and clearly demonstrates drug-induced generation of a strong malonate signal. In the corresponding HSQC spectra arising from 24 h BaP-treated [1,2-13C]glucose-labelled cells, we observed a clear doublet (Fig. 4c shown as red peaks) with a splitting of 58 Hz, indicative of a labelled CH2 group coupled to a carboxylic acid carbon. This is a clear indication of a C1,C2 (or C2,C3)-labelled malonate with label in only one of the two carboxylic acid groups. Malonate labelled in all three positions that might arise from multiple passages through the Krebs cycle would be expected to show a triplet at the C2 in the 13C-dimension of HSQC spectra, as at least some percentage would be labelled in both COO groups (AX2 coupling pattern). Therefore, the absence of a central signal in HSQC is highly indicative that malonate is derived from upstream PC activity. The absence of malonate derived from multiple Krebs cycles and PDH activity is also supported by the fact that malonate arising from 24 h labelling of BaP-treated cells with [1-13C]glucose showed only a singlet (Fig. 4c shown as blue peak).
In order to further prove that drug-induced malonate is derived downstream of PC activity, we acquired 13C-1D-spectra in which we could observe the COO resonances of malonate directly (Fig. 4d). A reference spectrum of 10 mM malonic acid in the same (pH 7) buffer as used for cell extracts confirmed the frequency of the COO resonance (Fig. 4d).
PC-mediated labelling is expected to yield a doublet at C1 (arising from [1,2-13C]malonate), whereas PDH-mediated labelling is expected to give a 50:50 mixture of a doublet arising from [1,2-13C]malonate and a singlet arising from [1-13C]malonate (Fig. 4a). Although noisy even after 24 h of acquisition, the spectra derived showed a clear doublet with no residual signal in the middle (Fig. 4d) confirming that the PC-derived labelling product is dominant. From this, we conclude that malonate is indeed derived from ROS-mediated conversion of oxaloacetate originating entirely or at least predominantly from the PC activity and does not show any contribution from a possible PDH product even after a 24 h labelling period. Control experiments using [3-13C]glutamine as a carbon source showed only minimal label incorporation into malonate. The malonate produced from [1,2-13C]glucose was shown to be predominantly labelled via PC. Together, these two facts strongly suggest that malonate is produced predominantly from glucose via glycolysis and PC-mediated entry of pyruvate into the TCA cycle.
Evidence of parallel PDH activity
Observed coupling constants in 1H-13C-HSQC spectra
Metabolite and atom at which coupling is observed
C2:C3a:C3b 1 J CC/Hz
C2:C3a:C3b 1 J CC/Hz
1 J CC/Hz
1 J CC/Hz
C2:C3:C4 1 J CC/Hz
1 J CC/Hz
Computational multiplet analysis
Percentages of isotopomers arising from a computational multiplet analysis
3 h Labelling
1.28 ± 0.08
2.11 ± 0.04
1.52 ± 0.17
2.25 ± 0.11
2.99 ± 0.04
0.64 ± 0.04
4.63 ± 0.07
0.68 ± 0.09
24 h labelling
3.17 ± 0.31
0.86 ± 0.08
2.62 ± 0.15
1.03 ± 0.17
4.42 ± 0.14
0.66 ± 0.08
5.32 ± 0.29
0.58 ± 0.06
This study sheds further light on the action of ROS in AML cell lines. The importance of ROS for the treatment of leukaemic cancers has previously been highlighted by us [4, 22] and by others [9–11]. Our previous study also showed that high levels of ROS are associated with chemical conversion of oxaloacetate into malonate, and this phenomenon is common to a variety of AML cell lines .
A number of studies, including some very recent reports, have investigated PC activity in relation to cancer. DeBerardinis and coworkers showed that PC takes over as the alternative anaplerotic mechanism when glutaminolysis is silenced . This is seen in the labelling pattern obtained for glutamate C2 in tracer based metabolic analyses using glioblastoma cell lines. PC has been shown to be enhanced in human non-small cell lung cancers in xenograft mouse models . It has also been shown that PC activity is high in human lung tumours [16, 17, 25] and critical for cell proliferation and colony formation in human non-small cell lung cancer cells . Likewise, Phannasil et al. showed that PC was upregulated in breast cancer tissues, PC expression was higher in cell lines with greater metastatic potential, and that proliferation, migration and in vitro invasion ability is PC dependent . Recent work shows that pyruvate carboxylation diverts glucose-derived carbons into aspartate biosynthesis in succinate dehydrogenase (SDH)-ablated kidney mouse cells . In analogy to non-small cell lung cancers, we also observe high PC activity in the AML K562 cell line.
The patterns of metabolite labelling we observed and the kinetics of their changes with time lead us to conclude that the Krebs cycle is disrupted in K562 cells. We have clearly demonstrated the branched uptake of pyruvate into the cycle via ‘left-hand’ PC-mediated and ‘right-hand’ PDH-mediated entry. The PC-mediated entry was readily observed at smaller labelling periods (3 h). At this time, the conversion of PDH products in the right-hand branch of the Krebs cycle into malate and aspartate was low but became more evident at 24 h.
However, continued PC-mediated entry to the Krebs cycle even at longer flux periods was confirmed by the origin of malonate following BaP treatment. Our earlier study identified malonate accumulation in response to BaP. However, [1-13C]glucose and [1,2-13C]glucose trace labelling approaches have demonstrated that this malonate unexpectedly originates almost exclusively from PC-derived oxaloacetate.
The generation of malonate in response to BaP treatment, in turn appears to drain the pool of oxaloacetate being formed from PC activity. At the same time, the accumulated malonate, which is known to block the SDH activity, appears to further disrupt the Krebs cycle as evidenced by a twofold reduction in the fumarate/succinate ratio following BaP treatment.
Importantly, we did not observe any visible contribution to the malonate pool from any PDH-derived products after one or several complete passages through the Krebs cycle providing remarkable evidence of direct conversion of oxaloacetate to malonate at the site of its formation by PC.
Whether the mechanisms described here require specific niche conditions, such as those in peripheral blood, cannot be answered from the existing study. Preclinical studies of BaP anti-cancer activities were demonstrated in non-hypoxic cultures  and translated to clinical efficacy in vivo including haematological responses as well as reduction in tumour load [7, 8]. As malonate formation under high ROS has been observed in several AML cell lines and can be reproduced by treatment of cell extracts in vitro , we suggest that the role of malonate may be common to any cell when ROS is sufficiently high.
In a wider context, this study indicates that in the case of AML cells, malonate represents a marker of increased ROS, an observation that needs investigation in other cancer models. This is also important for the wider application of our findings for cancer treatments. As discussed above, there are a growing number of observations indicating that PC activity underpins the neoplastic characteristics of several cancers. Using BaP here as an example, we have shown that the PC activity of cancer cells can be exploited, as an Achilles heel, by fuelling ROS-generated production of malonate. On a broader perspective in cancer, this in turn has implications for the development of malonate derivatives as potential cancer therapeutics.
AML, acute myeloid leukaemia; BaP, bezafibrate and medroxyprogesterone; BL, Burkitt’s lymphoma; HSQC, heteronuclear single quantum coherence; PC, pyruvate carboxylase; PDH, pyruvate dehydrogenase; ROS, reactive oxygen species; SDH, succinate dehydrogenase
MR was in part supported by the COSMOS EU grant (FP7-INFRASTRUCTURES-2012-1-312941. FK and CB were supported by a Bloodwise (formerly called Leukaemia & Lymphoma Research (LLR)) Specialist Programme. We also thank the Wellcome Trust for supporting the HWB-NMR facility where all the NMR work was carried out.
MR acquired and analysed data and helped to write and revise the manuscript. CL developed methodology and analysed data. FK was involved in the study conception and design, data acquisition, and writing and revising the manuscript. CB was involved in the study conception and design and in writing and revising the manuscript. UG supervised the project and was involved in the conception and design of the study, methodology development, analysis of data, and writing and revision of the manuscript. All authors read and approved the final manuscript.
The authors declare that they have no competing interests.
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