Synopsis
In
this study we used hyperpolarized 13C-MRS to investigate pyruvate to
lactate flux in IDH1 mutant cells. We found reduced hyperpolarized [1-13C]-lactate
production from hyperpolarized [1-13C]-pyruvate in IDH1 mutant cells
compared to wild-type. While there was no difference in lactate dehydrogenase A
activity or NAD+/NADH, IDH1 mutant cells and patient samples showed reduced
expression of monocarboxylate transporters MCT1 and MCT4. Comparison of
hyperpolarized [1-13C]-lactate production between IDH1 wild-type and
mutant lysates confirmed that reduced MCT expression was responsible for
reduced hyperpolarized [1-13C]-lactate production. Thus, our study
indicates that reduced MCT expression is a metabolic feature of the IDH1 mutation. Introduction
Mutations
in isocitrate dehydrogenase 1 (IDH1) are predominant driver mutations in
low-grade gliomas, and are associated with a broad metabolic reprogramming
1,2.
In particular, we recently showed that PDH activity is down-regulated in IDH1
mutant glioma cells relative to wild-type cells, resulting in reduced pyruvate
flux into the tricarboxylic acid (TCA) cycle
3. Reduced PDH activity
could also potentially increase pyruvate flux to lactate in IDH1 mutant cells. The
goal of this study was, therefore, to use hyperpolarized (HP)
13C-MRS
to probe the metabolism of HP [1-
13C]-pyruvate to [1-
13C]-lactate
in IDH1 wild-type and mutant glioma cells.
Methods
We performed our studies on normal human astrocytes (NHAs)
expressing IDH1 wild-type (NHAIDHwt) or mutant (NHAIDHmut) enzyme generated as
described
1. MRS studies were performed on a 500-MHz INOVA
spectrometer (Agilent). [1-
13C]-pyruvate containing 15mM OX063
trityl radical was hyperpolarized for ~1.5h using the Hypersense DNP polarizer
(Oxford Instruments) and dissolved in 6mL of isotonic buffer (40mM Tris-HCl,
3mM EDTA, pH 7.8). For live cell studies we used an MR-compatible bioreactor
system
4. For studies of cell lysates, cells (~10
8) were
lysed in 80mM Tris HCl, 200mM NaCl, 2mM NADH, pH 8 and lysates were placed in a
10mM NMR tube. In both cases HP pyruvate was injected to a final concentration
of 5mM. Single-transient
13C spectra were acquired every 3s for 300s
using 5ºpulses, 40k data points and spectral width of 20kHz. Data were analyzed
using Mnova (Mestrelab) as follows. Spectra were summed and the integral for
lactate normalized to the integral for pyruvate and to cell number. LDHA
activity was determined using a spectrophotometric assay and Michaelis-Menten
constant (K
m) and maximal velocity (V
max) calculated
using Lineweaver-Burke analysis. NAD
+/NADH ratio and NADH
concentration were measured using a kit (Biovision). Protein expression was
determined using Western blotting for MCT1 (Aviva) and MCT4 (Aviva). The Cancer
Genome Atlas (TCGA) data analysis was performed as described previously
5.
All experiments were performed in triplicate and significance assessed using an
unpaired t-Test.
Results and Discussion
A representative
13C-MR spectral array of HP [1-
13C]-lactate
production in the NHA model is shown in Fig. 1A. Surprisingly, our results
indicated that HP [1-
13C]-lactate production was significantly
reduced, rather than increased, in live NHAIDHmut cells compared to NHAIDHwt (Fig.
1B&1C; 30.8±14.8%, p<0.05). Intracellular lactate concentration, which
can affect hyperpolarized lactate production, was previously shown to be lower
in NHAIDHmut cells compared to NHAIDHwt and could explain our findings
1.
Nonetheless, we wanted to determine whether any other factors could explain our
data. We therefore investigated LDHA activity, NAD
+/NADH ratio, NADH
concentration, and monocarboxylate transporter (MCT) expression. We found no difference in LDHA activity between
NHAIDHwt and NHAIDHmut cells as assessed by the K
m for pyruvate
(Fig. 2A) or the V
max (Fig. 2B) for LDHA. We also detected no
difference in the NAD
+/NADH ratio (Fig. 2C) or cellular NADH
concentration (Fig. 2D). We then examined MCT1 and MCT4 expression. Our results revealed that expression of both MCT1
(Fig. 3A&3B) and MCT4 (Fig 3C&3D) was significantly reduced in
NHAIDHmut cells relative to NHAIDHwt (33.3±6.4%, p<0.05 for MCT1 and
30.4±2%, p<0.005 for MCT4). In order to confirm that reduced MCT expression
was, indeed, affecting HP [1-
13C]-lactate production in NHAIDHmut
cells, we assessed HP [1-
13C]-pyruvate metabolism in lysed NHAIDHwt
and NHAIDHmut cells. We observed no difference in HP [1-
13C]-lactate
production between NHAIDHwt and NHAIDHmut lysates (Fig. 4A&4B), confirming
the role of MCTs in explaining the observed reduction in HP [1-
13C]-lactate
production in NHAIDHmut cells. Finally, in order to determine whether the
reduction in MCT expression in our genetically engineered model was clinically
relevant, we compared MCT1 and MCT4 mRNA levels between IDH1 wild-type and
mutant patient biopsy samples from the TCGA database. The mean normalized
z-scores for MCT1 (Fig. 5A, 0.22 vs. -0.21, p<0.05) and MCT4 (Fig. 5B, 0.25
vs. -0.15, p<0.005) mRNA were significantly lower in mutant IDH1 glioma samples
(n=218) compared to wild-type (n=68). These results indicated that our findings
with regard to reduced MCT expression were clinically relevant. Previous work has
also shown that in clinical biopsy samples LDHA expression is silenced
(although no difference in LDHA expression was detected in our genetically
engineered NHA model)
6. Collectively, the findings from the current
study with regard to MCT expression, and the previous findings regarding LDHA
silencing, indicate that HP [1-
13C]-lactate production is likely to
be significantly lower in IDH1 mutant gliomas in the clinic when compared to
wild-type IDH1 tumors. Furthermore, down-regulation of MCT expression is likely
a significant metabolic consequence of the IDH1 mutation.
Acknowledgements
NIH
R01CA172845, NIH R01CA154915, NIH R21CA161545 and the UCSF Brain Tumor Center Loglio
Collective.References
1) Izquierdo-Garcia et al., PLOS ONE,
10:e0118781, 2015. 2) Reitman et al., PNAS,108:3270-3275, 2011 3) Izquierdo-Garcia
et al., Cancer Research, 75:1-11, 2015. 4) Brandes et al. Breast Cancer
Research 12, R84, 2010. 5) Izquierdo-Garcia et al., PLOS ONE, 9(9): e108289,
2014. 6) Chesnelong et al., Neuro
Oncol, 16: 686-95, 2014.