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Human primary astrocytes increase basal fatty acid oxidation following
recurrent low glucose to maintain intracellular nucleotide levels
Paul G Weightman Potter1; Julia M. Vlachaki Walker1; Josephine L Robb1; John K.
Chilton1; Ritchie Williamson2; Andrew Randall3; Kate L.J. Ellacott1; Craig Beall1
1Institute of Biomedical and Clinical Sciences, University of Exeter Medical School,
RILD Building, Barrack Road, EX2 5DW, UK
2 School of Pharmacy and Medical Sciences, University of Bradford, BD7 1DP, UK
3Hatherly Laboratories, Prince of Wales Road, University of Exeter, EX4 4PS, UK
Corresponding Author:
Craig Beall
Institute of Biomedical and Clinical Sciences, University of Exeter Medical School,
RILD Building, Barrack Road, Exeter, EX2 5DW, UK
01392 408209
Email: [email protected]
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ABSTRACT
Hypoglycemia is a major barrier to good glucose control in type 1 diabetes and
frequent exposure to hypoglycemia can impair awareness to subsequent bouts of
hypoglycemia. The neural changes that occur to reduce a person’s awareness of
hypoglycemia are poorly defined. Moreover, the molecular mechanisms by which
glial cells contribute to hypoglycemia sensing and glucose counterregulation require
further investigation. To test whether glia, specifically astrocytes, could detect
changes in glucose, we utilized human primary astrocytes (HPA) and U373
astrocytoma cells and exposed them to recurrent low glucose (RLG) in vitro. This
allowed measurement, with high specificity and sensitivity, of changes in cellular
metabolism following RLG. We report that the AMP-activated protein kinase
(AMPK) is activated over a pathophysiologically-relevant glucose concentration
range. We observed an increased dependency on fatty acid oxidation for basal
mitochondrial metabolism and hallmarks of mitochondrial stress including increased
proton leak and reduced coupling efficiency. Relative to glucose availability, lactate
release increased during low glucose but this was not modified by RLG, nor were
glucose uptake or glycogen levels. Taken together, these data indicate that astrocyte
mitochondria are dysfunctional following recurrent low glucose exposure, which
could have implications for hypoglycemia glucose counterregulation and/or
hypoglycemia awareness.
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INTRODUCTION
Hypoglycemia in type 1 diabetes and advanced insulin-treated type 2 diabetes remains
a significant concern for people with diabetes. For patients, it is a major barrier to
enjoying the health benefits of exercise [1, 2] and is increasingly thought to contribute
directly to an increased risk of cardiovascular events in type 1 and type 2 diabetes [3,
4]. Individuals that experience frequent hypoglycemia or have had long-standing
diabetes, produce a diminished counterregulatory response to hypoglycemia [5, 6],
often accompanied by reduced symptom awareness, termed “impaired hypoglycemia
awareness”.
Defective glucose counterregulatory responses to hypoglycemia is, at least in part,
mediated by changes in the function of critically important glucose-sensing (GS)
neurons in the ventromedial nucleus of the hypothalamus (VMH) playing an
important role; although GS neurons in the hindbrain have also been implicated [7].
In addition to neurons, the brain contains at least as many cells that lack electrically
excitable membranes. Of these the largest group is the glial cells, the largest sub-
population of which are astrocytes. As well as exhibiting a range of well-developed
cell-to-cell signaling pathways, astrocytes are increasingly recognized as important
players in central nervous system based-diseases such as obesity [8, 9], Alzheimer’s
disease [10], Parkinson’s disease [11, 12] and motor neuron disease [13].
Recent studies have demonstrated that glucoprivic stimuli such as 2-deoxyglucose (2-
DG) increase intracellular calcium in hindbrain astrocytes [14], which is a well-
accepted marker of increased astrocyte activity. In the hypothalamus, astrocyte
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activation by fasting is indicated by increased glial fibrillary acidic protein (GFAP)
expression and process complexity [15, 16], both markers of gliosis.
Astrocytes contain small amounts of glycogen that can be broken down to glucose
and released as lactate to feed active neurons. For example, astrocytic glycogen stores
can maintain axonal activity during energetic stress in white matter [17, 18] and also
contribute to memory formation [19, 20]. Brain glycogen concentrations are increased
on recovery from exercise [21], suggesting that astrocytic glycogen stores are both
physiologically and pathophysiologically regulated. Astrocytes are in intimate
apposition to the cerebral vasculature meaning that a change in glycemia may be
detected by astrocytes before neurons. Moreover, astrocytes are generally accepted as
metabolically flexible neural cells that can rapidly upregulate glycolysis to support
neuronal function, partly due to the higher expression of 6-phosphofructo-2-kinase
type 3 (PFKFB3) that can stimulate glycolysis [22]. Despite this, little is known about
the intrinsic response of human primary astrocytes to acute and recurrent low glucose
(RLG) that occurs in type 1 diabetes. Given that astrocytes are metabolically flexible
cells, we hypothesized that human astrocytes would 1) sense low glucose by
increasing the phosphorylation of the cellular energy sensor AMP-activated protein
kinase (AMPK) and 2) exhibit altered glycolytic and mitochondrial metabolism
following RLG. To do this we utilized both human primary astrocytes and U373
astrocytoma cells and measured directly components of glycolytic and mitochondrial
metabolism, lactate release, glycogen levels, intracellular nucleotide levels, and
expression of key metabolic enzymes. We demonstrate for the first time that human
astrocytes metabolically adapt by increasing basal fatty acid oxidation following a
recurrent low glucose challenge that allows intracellular nucleotide levels to be
maintained.
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RESEARCH DESIGN AND METHODS
Astrocyte isolation and cell culture.
Human primary astrocytes (HPA) were isolated from normal subventricular deep
white matter blocks immediately post-mortem following consent from next-of-kin and
with ethical approval from the North and East Devon Research Ethics Committee.
Astrocytes were isolated from tissue blocks as previously described [23], sub-cultured
and frozen stocks prepared. HPA cells were maintained in humidified incubators with
95% O2/5% CO2 in DMEM (ThermoFisher, #31885) containing 5.5 mmol/l glucose,
supplemented with 10% FBS (Gibco, 10270-106) and gentamicin (25 µg/ml;
ThermoFisher, 15750-060). U373 cells were maintained in DMEM (Sigma-Aldrich
#D5671) containing 25 mmol/l glucose, supplemented with FBS (Gibco, 10270-106),
and, penicillin and streptomycin (Gibco, 100 U/ml; 100 µg/ml). To enhance
adherence of cells during growth, flasks and petri dishes containing HPA cells were
pre-coated with poly-L-lysine (20 µg/ml; Sigma, P1274-25MG) in dH2O. 1 x 106 cells
were seeded into T75cm2 flasks and allowed to grow, and passaged after
approximately 7-10 days. For experiments, cells were seeded in to 60 mm round petri
dishes in media containing 5.5 mmol/l glucose with FBS, the day prior to study. On
the morning of study, the glucose concentration was further reduced to 2.5 mmol/l
glucose for 2 hours. Glucose concentrations were then dropped further to 0.1 mmol/l
glucose as a hypoglycemic stimulus or maintained at 2.5 mmol/l glucose. For RLG
studies over 4 days, cells were recovered in media containing high (5-5.5 mmol/l)
glucose and FBS overnight (see Fig. S1 for culture model). The reasons for this were
two fold; 1) higher glucose levels overnight (approximately 19 hours) prevented
glucose depletion from the media, which would occur if the cells were maintained at
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2.5 mM and 2) this pattern more accurately represented a model of glucose variation
seen in type 1 diabetes.
Immunoblotting
Cellular protein was isolated as previously described [24] with minor modifications.
Briefly, for acute studies 450,000 cells, or for recurrent studies 250,000 cells were
seeded on to 60 mm petri dishes and harvested at the end of experiments in 65 µl of
lysis buffer. Protein concentrations were assessed by Bradford assay. 10 µg of protein
was loaded per lane on 7-10% poly-acrylamide gels. Following electrophoresis,
proteins were transferred to nitrocellulose membranes, blocked with BSA (5% w/v) or
powered milk (5% w/v) and probed with antibodies against target proteins. Primary
antibodies used were: pThr172 AMPK (1:1,000; #2535), pSer79 acetyl-CoA
carboxylase (ACC; 1:1000; #3661), mouse α-actin (1:10,000; catalogue #A2066) was
from Sigma Aldrich. Proteins were visualized and quantified using the Odyssey
scanner (Licor, UK).
Analysis of cellular metabolism
HPA and U373 cells were seeded at 2 x 105 cells per well in Agilent Seahorse XFe96
assay plates the day prior to study. Media was exchanged for low-buffered media, pH
manually adjusted to 7.40 at 37.0°C and cells placed in an atmospheric-CO2
incubator, to remove CO2 buffering capacity, one hour prior to starting the assay.
Assay plates were loaded into the extracellular flux analyzer and studied on a 3-
minute mix, 3-minute measure cycle and compounds injected as indicated. Following
assay completion, the assay plate was removed from the analyzer, media removed and
replaced with 100 µl of 50 mmol/l NaOH to lyse cells. Protein concentrations were
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determined by Bradford assay using NaOH as a vehicle. Cellular oxygen consumption
(OCR) and extracellular acidification rates (ECAR) were normalized to total protein
concentration of each well and where appropriate, normalized to baseline values
(prior to compound injection). Mitochondrial stress tests (Agilent #103015-100) and
mitochondrial fuel flexibility tests (#103270-100) were performed as per
manufacturer’s instructions.
Measurement of intracellular nucleotides
Total ATP levels were measured using ATPlite (Perkin Elmer; #6016941) with minor
modifications as previously described [24]. ATP/ADP ratios were assayed by
luminescence assay (Sigma; #MAK135). Briefly, 1x103 cells were seeded on to black
walled 96 well plates and exposed to 2.5 mmol/l or 0.1 mmol/l glucose levels for 15-
180 minutes and nucleotide ratios assayed as per manufacturer’s instructions.
Measurement of extracellular lactate, glucose uptake and glycogen levels
Extracellular lactate was measured by assessing NADH production from NAD+ in the
presence of lactate dehydrogenase as previously described [25]. Briefly, 100 µL of
extracellular supernatant was examined against a standard curve of lactate from 0-50
nM. Glucose uptake was measured using fluorescently labeled glucose analogue 6-
(N-(7-Nitrobenz-2-oxa-1,3-diazol-4-yl)amino-6-Deoxyglucose (6-NBDG). 6-NBDG
(600 µM) was added for 15 minutes in 2.5 mmol/l glucose in control conditions and
in cells exposed to RLG. Glycogen levels were measured using a fluorometric kit
from Cambridge Bioscience (Cambridge, UK) as per manufacturer’s instructions.
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Statistical analysis
For immunoblotting, densitometric values were normalized to unity to examine
relative fold change in expression. A one-sample t-test was used to determine
significant changes in phosphorylation or expression, relative to control. For
comparisons of two groups a two-tailed unpaired t-test was used and for multiple
group comparisons, a one-way ANOVA with post-hoc Bonferroni were used. To
compare the mean differences between groups split by two independent variables, a
two-way ANOVA with Bonferroni multiple comparisons tests was used. Statistical
tests performed using GraphPad Prism software (Prism 5; GraphPad Software, La
Jolla, CA, USA). Results are expressed as mean ± standard error, unless otherwise
stated. p values of <0.05 were considered statistically significant.
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RESULTS
AMP-activated protein kinase is activated by acute low glucose in human
astrocytes
AMPK activation in neurons is required for sensing hypoglycemia [26], although it is
not known whether astrocytic AMPK reacts to the same energy stress, therefore we
exposed human astrocytes to normal (2.5 mmol/l) and low brain (0.1 mmol/l) glucose
levels. In cells exposed to low glucose for 30 minutes, we noted increased
phosphorylation of AMPK at threonine-172, a site required to be phosphorylated for
full kinase activation in both the human primary astrocytes (HPA; Fig.1A,C) and
U373 cells (Fig.1B,D). This was accompanied by increased phosphorylation of acetyl
CoA carboxylase (ACC) at serine 79 (Fig.1E,F). These data are consistent with the
ubiquitous role for AMPK in detecting low glucose levels in other cells types and
now reported in glia.
RLG exposure increases mitochondrial metabolism in human astrocytes
To determine whether baseline metabolism was altered following RLG, we performed
mitochondrial stress tests on HPA and U373 cells following RLG (see Fig. S1 for
RLG model). This was performed at euglycemic glucose levels post RLG to observe
any cellular adaptations. Firstly, we observed significantly higher baseline oxygen
consumption rate (OCR) in both HPA (Fig. 2A,C) and U373 cells (Fig. 2B,D) exposed
to RLG (3 versus 0 prior bouts of low glucose), indicating persistent adaptations in
cellular metabolism. Oligomycin was then added to block ATP synthase, FCCP to
stimulate maximal respiration, and rotenone and antimycin A were added to inhibit
complex I and III, respectively. This allowed calculation of coupling efficiency,
which was significantly decreased in HPA cells only (Fig. 2E,F). However, both cell
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types displayed increased proton leak (Fig. 2G,H), indicating mitochondrial
dysfunction. Despite the functional evidence of mitochondrial dysfunction, we saw no
changes in the morphology of the filamentous mitochondrial networks between the
treatment groups as examined using MitoTrackerRed (Fig. S2A,B).
In addition to changes in OCR, we also noted significantly elevated basal extracellular
acidification rate (ECAR) in HPA cells exposed to RLG (Fig. 2I,K), indicating
enhanced glycolysis following RLG. This did not occur within U373 cells following
RLG (Fig. 2J,L).
Astrocytes exposed to RLG display enhanced glycolysis on recovery of glucose
level
Given the increased basal ECAR in HPA cells exposed to RLG, we next examined
glycolytic re-activation after an acute glucose withdrawal (~80 minutes) in HPA cells
following antecedent RLG. Under control conditions, we noted that the ECAR
(glycolysis) response to glucose was concentration dependent (Fig. 3A-C), although
ECAR was not significantly higher at 5.5 mmol/l glucose than 2.5 mmol/l glucose.
Interestingly, the ECAR response to glucose in cells exposed to RLG (3 bouts of low
glucose) was significantly greater than control (0 bouts of low glucose), indicating an
enhanced glycolytic capacity (Fig. 3A-C). This only occurred at euglycemic and
hyperglycemic levels. Consistent with enhanced glycolytic activity, we also noted a
significant reduction in oxygen consumption rate (OCR) following glucose injection,
indicative of a shift away from mitochondrial metabolism towards glycolysis (Fig.3D-
F). Correspondingly, the reduction in OCR following glucose recovery was
augmented in HPA cells exposed to RLG. Taken together these data suggest an
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enhanced Warburg effect in HPA cells following recovery of glucose levels. In U373
cells, RLG did not alter ECAR between groups (control vs RLG) on glucose recovery.
However, the re-activation of ECAR on delivery of glucose was not concentration-
dependent and in U373 cells the relative increase in ECAR was twice as large as that
in HPA cells (Fig. S3). These studies show, obtaining primary cells from source is
preferably to transformed cells.
Fatty acid oxidation (FAO) is increased in human astrocytes following RLG
To assess potential changes to mitochondrial fuel usage following RLG we performed
mitochondrial fuel flexibility tests; achieved by sequential selective inhibition of the
mitochondrial pyruvate carrier (MPC; glucose oxidation pathway), glutaminase
(glutamine oxidation pathway) and carnitine palmitoyltransferase 1 (CPT1; fatty acid
oxidation pathway). Surprisingly, there was no change in mitochondrial dependency,
capacity or flexibility to metabolize pyruvate (Fig. 4A-C). This suggests that in
astrocytes alterations to glucose metabolism are upstream of the transport of pyruvate
into the mitochondria in astrocytes. There was a non-significant trend towards
reduced glutamine dependency at baseline following RLG (Fig. 4D), with no
significant change to the glutamine oxidation capacity (Fig. 4E). Combined, this
produced a significant increase in glutamine flexibility (Fig. 4F). Interestingly, RLG
significantly increased metabolic dependency on fatty acids (FA) but with no change
in FAO maximum capacity, thereby causing a decrease in flexibility (Fig. 4G-I).
These data demonstrate that RLG induces mitochondrial adaptations to fuel sources
consistent with a shift towards increased reliance on FAO and an enhanced flexibility
to utilize glutamine.
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Human astrocytes maintain energy production (total ATP and ATP/ADP ratio)
during low glucose conditions
To examine the consequences of acute low glucose and RLG for astrocyte energy
content, we measured total ATP and the ATP/ADP ratio. These measurements were
made both in the presence of acute low glucose and following RLG. Interestingly, we
found that total ATP levels did not significantly change in HPA (Fig. 5A) or U373
cells (Fig. 5B) during acute low glucose exposure (0.1 mmol/l) lasting 3 hours.
Despite the increased basal mitochondrial and glycolytic metabolism described above,
total ATP levels following RLG were also comparable to control (Fig. 5A,B).
Similarly, the ATP/ADP ratio was not significantly different following 3 hours of 0.1
mmol/l glucose, nor was the basal ratio altered following RLG (Fig. 5C,D). These
data indicate that the total ATP content and ATP/ADP ratio are well defended in
astrocytes, at least in response to up to 3 hours of low glucose, and that changes to
glycolytic and mitochondrial metabolism may be compensatory in order to sustain
intracellular nucleotide levels.
RLG does not alter glucose uptake or glycogen levels in human astrocytes
Western blotting demonstrated that the levels of key glycolytic markers GLUT1,
hexokinase I (HKI), HKII, HKIII and phosphofructokinase (PFK) were not altered by
acute or recurrent low glucose in human astrocytes (Fig. S4).
Lactate release from HPA and U373 cells decreased by 25-50% during 3 hours of low
glucose exposure (Fig. 6A,B), although this was a substantial decrease, this was
proportionally much less than the 25-fold reduction in glucose availability. Hence,
when corrected for glucose availability, there was a large relative increase in lactate
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release (Fig. 6C,D); however, this was not different between control and RLG-treated
cells.
We next assessed the degree of glucose uptake by human astrocytes using the
fluorescently labelled glucose analogue, 6-(N-(7-Nitrobenz-2-oxa-1,3-diazol-4-
yl)amino-6-Deoxyglucose (6-NBDG). HPA cells exposed to RLG showed no change
in 6-NBDG uptake (Fig. 6E), indicating that the persistent changes in mitochondrial
oxygen consumption were not simply mediated by increased glucose uptake.
Correspondingly, we did not observe any changes in astrocytic glycogen content
following RLG (Fig. 6F).
Correlating with our mitochondrial imaging studies, the levels of mitochondrial
markers succinate dehydrogenase (SDH) and the voltage-dependent anion channel
(VDAC) were not altered by RLG, suggesting no change in total mitochondrial
content (Fig. S5). Fatty acid synthase (FAS) and carnitine palmitoyltransferase 1a
(CPT-1a) expression were also not altered, indicating that changes in FA-dependency
following RLG are likely to be mediated by metabolic flux rather than expression of
enzymes within the FAO pathway.
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DISCUSSION
Our studies shed new light on the previously uncharacterized intrinsic metabolic
changes in human glial cells in response to acute and recurrent low glucose. We
demonstrate that astrocytes, in the absence of physical and chemical signals from
neurons, react to low glucose by increasing the activation of the key metabolic sensor
AMPK. Changes in AMPK pathway phosphorylation occur within a
pathophysiologically-relevant glucose concentration range, similar to that which
affects CNS glucose-sensing neurons [28, 29].
It is well-accepted that astrocytes are more metabolically flexible than neurons, partly
due to the higher expression of PFKFB3, which can accelerate glycolysis during
stress [22]. Therefore, to examine specifically the changes in astrocyte metabolism
following recurrent low glucose, we measured markers of mitochondrial and
glycolytic metabolism in human primary astrocyte mono-cultures. Importantly, we
found that daily prior bouts of low glucose (4 x 0.1 mmol/l glucose) lasting 3 hours,
were sufficient to increase basal mitochondrial and glycolytic metabolism and sustain
intracellular ATP levels. This increased basal mitochondrial metabolism is likely
mediated, at least in part, by an increased contribution of FAO to basal oxygen
consumption. Correlating with this hypothesis, we noted increased mitochondrial
proton leak and reduced mitochondrial coupling efficiency in astrocytes exposed to
RLG. Importantly, FAO is known to increase uncoupling, as FAO generates increased
levels of reactive oxygen species (ROS)/superoxide [31] that can increase proton leak
via activation of uncoupling proteins or the ATP/ADP antiporter (ANT; [32]).
Previous work has demonstrated that in vivo, genes for β-oxidation are induced by
acute hypoglycemia but this fails following recurrent hypoglycemia (RH)[33]. Our
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data, in astrocyte monocultures contrasts with these measurements taken from whole
rodent mediobasal hypothalamus, which include both neurons and glia. Therefore, it
is possible that cell type-specific changes are masked when measuring mRNA
expression from whole tissue sections. Despite the evidence of mitochondrial stress
and in contrast to our expectation, examination of the filamentous mitochondrial
networks revealed no change in either mitochondrial size or number following acute
low glucose or following RLG. Indeed, mitochondria exposed to RLG generally
displayed a normal filamentous network, with little or no evidence of mitochondrial
fragmentation. These data suggest that astrocyte mitochondria successfully adapt to
maintain energy production in response to repeated bouts of low glucose availability.
Previous studies in rats found no change in brain glycogen levels following RH [34]
or any correlation between brain glycogen content and impaired awareness of
hypoglycemia in humans [35]. However, other studies suggest brain glycogen content
is increased following recovery from insulin-induced hypoglycemia [36] and
following recurrent 2-DG induced glucoprivation in mice [37]. Our data clearly
demonstrate that astrocytes intrinsically adapt by increasing cellular metabolism in
response to recurrent energy stress. Specifically, rates of extracellular acidification (a
marker for glycolysis) following glucose “reperfusion” were elevated in cells exposed
to RLG, suggesting a augmented re-activation of glycolysis. However, despite
glycolysis being a major determinant of glycogen synthesis, we found no significant
change in astrocytic glycogen levels following RLG. In our model, we measured
extracellular lactate accumulation (which can be generated from glycogen breakdown
during aglycemia [18]) in conditioned media from astrocytes over a 3 hour period.
After correcting for glucose availability, lactate release increased substantially during
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low glucose exposure, although the magnitude of this response was not significantly
altered following RLG. We cannot rule out, however, the possibility that more subtle
changes in lactate and glycogen occur during the transition to low glucose or on
glucose recovery. Moreover, before definitively ruling out a role for astrocytic
glycogen and subsequent lactate release, a more replete in vitro model, containing
both astrocytes and neurons should be tested, thus facilitating the inclusion of
neurotransmitter dynamics into the model. The ability to produce increasingly
credible human neurons from iPSC sources could potentially enable such
investigations to be performed in an in vitro human system.
Astrocytes play a key role in maintaining glutamatergic neurotransmission through
the glutamate-glutamine cycle (for recent review see [38]). Importantly, astrocytic
glutamate clearance requires co-transport of three Na+ ions [39], meaning that, via the
ATP-dependent Na+/K+ ATPase, there is a significant metabolic cost for astrocytes to
maintain their Na+ homeostasis, estimated to be approximately 20% of astrocyte ATP
production [40]. This process may become particularly costly during hypoglycemia.
Moreover, glutamate stimulation of astrocytes produces mitochondrial dysfunction,
decreasing mitochondrial spare respiratory capacity and increasing lactate production
[41]. Furthermore, recent observations suggest that astrocytic glutamate recycling is
diminished following RH, a change most likely mediated by reduced glutamate
uptake [42]. Our data add to these findings and suggest that metabolic changes within
astrocytes, could play a part in defective counterregulatory responses following
recurrent hypoglycemia. In support of this, astrocytes are increasingly recognized as
playing an important role in regulation of whole body metabolism. For example,
chemogenetic activation (by increasing intracellular Ca2+) of astrocytes in the arcuate
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nucleus increased feeding in mice and conversely, sequestering astrocytic Ca2+,
decreased food intake [15]. Moreover, modulation of inflammatory signaling in
astrocytes also modulates feeding in response to a high fat diet [43, 44], further
supporting a role for astrocytes in regulating energy sensing neurons of the
hypothalamus. Within the hindbrain, astrocytes can detect hypoglycemia to regulate
adjacent neurons to increase gastric emptying in response to a glucoprivic stimulus
[14]. Astrocytes have also been shown to decrease hyperglycemia in a rodent model
of type 1 diabetes [45] suggesting that astrocytes may play a fundamental role in
regulating whole body glucose levels. In conclusion, our data further support the
evidence that glial cells are likely to play a role in detecting hypoglycemia and that
specifically changes in astrocyte mitochondrial function (increased fatty acid
oxidation) could play a role in defective glucose counterregulation. This study also
highlights the need for more investigation into neuron-glial interactions during and
following recurrent hypoglycemia.
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Acknowledgements
This study was funded by grants from Diabetes UK (RD Lawrence Fellowship to CB;
13/0004647), the Medical Research Council (MR/N012763/1) to KLJE, ADR and
CB, a Mary Kinross Charitable Trust PhD studentship to CB, ADR and RW to
support PWP. Additional support for this work came from awards from the British
Society for Neuroendocrinology (to CB and KLJE), Society for Endocrinology (CB),
Tenovus Scotland (CB) and the University of Exeter Medical School (CB and KLJE).
AR was also supported by a Royal Society Industry Fellowship. We also wish to
thank Nicholas Gutowski and Janet Holley for kindly gifting the human primary
astrocytes. We also wish to thank Nick Howe for guidance with Extracellular Flux
Analysis. Parts of this study were presented at the American Diabetes Association
77th Scientific Sessions and at the Diabetes UK Annual Professional Conference
2017.
Author Contributions
P.G.W.P, J.M.V.W., J.L.R., R.W., A.D.R. and C.B. researched data. J.K.C., A.D.R.,
P.G.W.P, K.L.J.E., and C.B. contributed to experimental design, analysis and writing
of the manuscript. C.B. conceived the study and is the guarantor of this work and, as
such, had full access to all the data in the study and takes responsibility for the
integrity of the data and the accuracy of the data analysis.
Conflict of Interest Statement
The authors have no conflict of interest to declare
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References
1. Michaud, I., M. Henderson, L. Legault, and M.E. Mathieu, Physical activity
and sedentary behavior levels in children and adolescents with type 1
diabetes using insulin pump or injection therapy - The importance of
parental activity profile. J Diabetes Complications, 2017. 31(2): p. 381-
386.
2. Brazeau, A.S., R. Rabasa-Lhoret, I. Strychar, and H. Mircescu, Barriers to
physical activity among patients with type 1 diabetes. Diabetes Care, 2008.
31(11): p. 2108-9.
3. Robinson, R.T., N.D. Harris, R.H. Ireland, I.A. Macdonald, and S.R. Heller,
Changes in cardiac repolarization during clinical episodes of nocturnal
hypoglycaemia in adults with Type 1 diabetes. Diabetologia, 2004. 47(2): p.
312-5.
4. Chow, E., A. Bernjak, S. Williams, R.A. Fawdry, S. Hibbert, J. Freeman, P.J.
Sheridan, and S.R. Heller, Risk of cardiac arrhythmias during hypoglycemia
in patients with type 2 diabetes and cardiovascular risk. Diabetes, 2014.
63(5): p. 1738-47.
5. Heller, S.R. and P.E. Cryer, Reduced Neuroendocrine and Symptomatic
Responses To Subsequent Hypoglycemia After 1 Episode of Hypoglycemia in
Nondiabetes Humans. Diabetes, 1991. 40(2): p. 223-226.
6. Segel, S.A., D.S. Paramore, and P.E. Cryer, Hypoglycemia-associated
autonomic failure in advanced type 2 diabetes. Diabetes, 2002. 51(3): p.
724-33.
7. Evans, M.L., R.J. McCrimmon, D.E. Flanagan, T. Keshavarz, X. Fan, E.C.
McNay, R.J. Jacob, and R.S. Sherwin, Hypothalamic ATP-sensitive K +
channels play a key role in sensing hypoglycemia and triggering
counterregulatory epinephrine and glucagon responses. Diabetes, 2004.
53(10): p. 2542-51.
8. Horvath, T.L., B. Sarman, C. García-Cáceres, P.J. Enriori, P. Sotonyi, M.
Shanabrough, E. Borok, J. Argente, J.A. Chowen, D. Perez-Tilve, P.T.
Pfluger, H.S. Brönneke, B.E. Levin, S. Diano, M.A. Cowley, and M.H. Tschöp,
Synaptic input organization of the melanocortin system predicts diet-
induced hypothalamic reactive gliosis and obesity. Proceedings of the
National Academy of Sciences, 2010. 107(33): p. 14875-14880.
9. Thaler, J.P., C.-X. Yi, E.A. Schur, S.J. Guyenet, B.H. Hwang, M.O. Dietrich, X.
Zhao, D.A. Sarruf, V. Izgur, K.R. Maravilla, H.T. Nguyen, J.D. Fischer, M.E.
Matsen, B.E. Wisse, G.J. Morton, T.L. Horvath, D.G. Baskin, M.H. Tschöp,
and M.W. Schwartz, Obesity is associated with hypothalamic injury in
rodents and humans. The Journal of Clinical Investigation, 2012. 122(1): p.
153-162.
10. Mancardi, G.L., B.H. Liwnicz, and T.I. Mandybur, Fibrous astrocytes in
Alzheimer's disease and senile dementia of Alzheimer's type. Acta
Neuropathol, 1983. 61(1): p. 76-80.
11. Renkawek, K., G.J. Stege, and G.J. Bosman, Dementia, gliosis and expression
of the small heat shock proteins hsp27 and alpha B-crystallin in Parkinson's
disease. Neuroreport, 1999. 10(11): p. 2273-6.
.CC-BY-NC-ND 4.0 International licenseunder anot certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available
The copyright holder for this preprint (which wasthis version posted February 26, 2018. ; https://doi.org/10.1101/271981doi: bioRxiv preprint
12. Booth, H.D.E., W.D. Hirst, and R. Wade-Martins, The Role of Astrocyte
Dysfunction in Parkinson's Disease Pathogenesis. Trends Neurosci, 2017.
40(6): p. 358-370.
13. Lee, J., S.J. Hyeon, H. Im, H. Ryu, Y. Kim, and H. Ryu, Astrocytes and
Microglia as Non-cell Autonomous Players in the Pathogenesis of ALS. Exp
Neurobiol, 2016. 25(5): p. 233-240.
14. McDougal, D.H., E. Viard, G.E. Hermann, and R.C. Rogers, Astrocytes in the
hindbrain detect glucoprivation and regulate gastric motility. Auton
Neurosci, 2013. 175(1-2): p. 61-9.
15. Chen, N., H. Sugihara, J. Kim, Z. Fu, B. Barak, M. Sur, G. Feng, and W. Han,
Direct modulation of GFAP-expressing glia in the arcuate nucleus bi-
directionally regulates feeding. eLife, 2016. 5: p. e18716.
16. Fuente-Martin, E., C. Garcia-Caceres, M. Granado, M.L. de Ceballos, M.A.
Sanchez-Garrido, B. Sarman, Z.W. Liu, M.O. Dietrich, M. Tena-Sempere, P.
Argente-Arizon, F. Diaz, J. Argente, T.L. Horvath, and J.A. Chowen, Leptin
regulates glutamate and glucose transporters in hypothalamic astrocytes. J
Clin Invest, 2012. 122(11): p. 3900-13.
17. Wender, R., A.M. Brown, R. Fern, R.A. Swanson, K. Farrell, and B.R.
Ransom, Astrocytic Glycogen Influences Axon Function and Survival during
Glucose Deprivation in Central White Matter. The Journal of Neuroscience,
2000. 20(18): p. 6804-6810.
18. Brown, A.M., H.M. Sickmann, K. Fosgerau, T.M. Lund, A. Schousboe, H.S.
Waagepetersen, and B.R. Ransom, Astrocyte glycogen metabolism is
required for neural activity during aglycemia or intense stimulation in
mouse white matter. J Neurosci Res, 2005. 79(1-2): p. 74-80.
19. Gibbs, M.E. and L. Hertz, Inhibition of astrocytic energy metabolism by D-
lactate exposure impairs memory. Neurochem Int, 2008. 52(6): p. 1012-8.
20. Suzuki, A., S.A. Stern, O. Bozdagi, G.W. Huntley, R.H. Walker, P.J.
Magistretti, and C.M. Alberini, Astrocyte-neuron lactate transport is
required for long-term memory formation. Cell, 2011. 144(5): p. 810-23.
21. Matsui, T., T. Ishikawa, H. Ito, M. Okamoto, K. Inoue, M.C. Lee, T. Fujikawa,
Y. Ichitani, K. Kawanaka, and H. Soya, Brain glycogen supercompensation
following exhaustive exercise. J Physiol, 2012. 590(3): p. 607-16.
22. Almeida, A., S. Moncada, and J.P. Bolanos, Nitric oxide switches on
glycolysis through the AMP protein kinase and 6-phosphofructo-2-kinase
pathway.[see comment]. Nature Cell Biology, 2004. 6(1): p. 45-51.
23. Holley, J.E., D. Gveric, J.L. Whatmore, and N.J. Gutowski, Tenascin C induces
a quiescent phenotype in cultured adult human astrocytes. Glia, 2005.
52(1): p. 53-8.
24. Vlachaki Walker, J.M., J.L. Robb, A.M. Cruz, A. Malhi, P.G. Weightman
Potter, M.L.J. Ashford, R.J. McCrimmon, K.L.J. Ellacott, and C. Beall, AMP-
activated protein kinase (AMPK) activator A-769662 increases intracellular
calcium and ATP release from astrocytes in an AMPK-independent manner.
Diabetes Obes Metab, 2017. 19(7): p. 997-1005.
25. Allaman, I., L. Pellerin, and P.J. Magistretti, Glucocorticoids modulate
neurotransmitter-induced glycogen metabolism in cultured cortical
astrocytes. Journal of Neurochemistry, 2004. 88(4): p. 900-908.
26. McCrimmon, R.J., M. Shaw, X. Fan, H. Cheng, Y. Ding, M.C. Vella, L. Zhou,
E.C. McNay, and R.S. Sherwin, Key role for AMP-activated protein kinase in
.CC-BY-NC-ND 4.0 International licenseunder anot certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available
The copyright holder for this preprint (which wasthis version posted February 26, 2018. ; https://doi.org/10.1101/271981doi: bioRxiv preprint
the ventromedial hypothalamus in regulating counterregulatory hormone
responses to acute hypoglycemia. Diabetes, 2008. 57(2): p. 444-50.
27. Darlington, P.J., C. Podjaski, K.E. Horn, S. Costantino, M. Blain, P. Saikali, Z.
Chen, K.A. Baker, J. Newcombe, M. Freedman, P.W. Wiseman, A. Bar-Or,
T.E. Kennedy, and J.P. Antel, Innate Immune-Mediated Neuronal Injury
Consequent to Loss of Astrocytes. Journal of Neuropathology &
Experimental Neurology, 2008. 67(6): p. 590-599.
28. Beall, C., D.L. Hamilton, J. Gallagher, L. Logie, K. Wright, M.P. Soutar, S.
Dadak, F.B. Ashford, E. Haythorne, Q. Du, A. Jovanovic, R.J. McCrimmon,
and M.L.J. Ashford, Mouse hypothalamic GT1-7 cells demonstrate AMPK-
dependent intrinsic glucose-sensing behaviour. Diabetologia, 2012. 55(9):
p. 2432-44.
29. Claret, M., M.A. Smith, R.L. Batterham, C. Selman, A.I. Choudhury, L.G.
Fryer, M. Clements, H. Al-Qassab, H. Heffron, A.W. Xu, J.R. Speakman, G.S.
Barsh, B. Viollet, S. Vaulont, M.L. Ashford, D. Carling, and D.J. Withers,
AMPK is essential for energy homeostasis regulation and glucose sensing by
POMC and AgRP neurons. J Clin Invest, 2007. 117(8): p. 2325-36.
30. Haan, N., B. Zhu, J. Wang, X. Wei, and B. Song, Crosstalk between
macrophages and astrocytes affects proliferation, reactive phenotype and
inflammatory response, suggesting a role during reactive gliosis following
spinal cord injury. Journal of Neuroinflammation, 2015. 12(1): p. 109.
31. St-Pierre, J., J.A. Buckingham, S.J. Roebuck, and M.D. Brand, Topology of
Superoxide Production from Different Sites in the Mitochondrial Electron
Transport Chain. Journal of Biological Chemistry, 2002. 277(47): p.
44784-44790.
32. Skulachev, V.P., Uncoupling: new approaches to an old problem of
bioenergetics. Biochimica et Biophysica Acta (BBA) - Bioenergetics, 1998.
1363(2): p. 100-124.
33. Poplawski, M.M., J.W. Mastaitis, and C.V. Mobbs, Naloxone, but Not
Valsartan, Preserves Responses to Hypoglycemia After Antecedent
Hypoglycemia. Diabetes, 2011. 60(1): p. 39-46.
34. Herzog, R.I., E.C. McNay, R. McCrimmon, C.W. Yeckel, W.L. Zhu, Y.Y. Ding,
A.J. Wang, X.N. Fan, and R.S. Sherwin, Effect of acute and recurrent
hypoglycemia on regional changes in brain glycogen concentration.
Diabetes, 2006. 55: p. A149-A149.
35. Oz, G., N. Tesfaye, A. Kumar, D.K. Deelchand, L.E. Eberly, and E.R. Seaquist,
Brain glycogen content and metabolism in subjects with type 1 diabetes and
hypoglycemia unawareness. J Cereb Blood Flow Metab, 2012. 32(2): p.
256-63.
36. Canada, S.E., S.A. Weaver, S.N. Sharpe, and B.A. Pederson, Brain glycogen
supercompensation in the mouse after recovery from insulin-induced
hypoglycemia. Journal of Neuroscience Research, 2011. 89(4): p. 585-591.
37. Alquier, T., J. Kawashima, Y. Tsuji, and B.B. Kahn, Role of hypothalamic
adenosine 5 '-monophosphate activated protein kinase in the impaired
counterregulatory response induced by repetitive neuroglucopenia.
Endocrinology, 2007. 148(3): p. 1367-1375.
38. Schousboe, A., Metabolic signaling in the brain and the role of astrocytes in
control of glutamate and GABA neurotransmission. Neurosci Lett, 2018.
.CC-BY-NC-ND 4.0 International licenseunder anot certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available
The copyright holder for this preprint (which wasthis version posted February 26, 2018. ; https://doi.org/10.1101/271981doi: bioRxiv preprint
39. Levy, L.M., O. Warr, and D. Attwell, Stoichiometry of the glial glutamate
transporter GLT-1 expressed inducibly in a Chinese hamster ovary cell line
selected for low endogenous Na+-dependent glutamate uptake. J Neurosci,
1998. 18(23): p. 9620-8.
40. Silver, I.A. and M. Erecinska, Energetic demands of the Na+/K+ ATPase in
mammalian astrocytes. Glia, 1997. 21(1): p. 35-45.
41. Yan, X., Z.F. Shi, L.X. Xu, J.X. Li, M. Wu, X.X. Wang, M. Jia, L.P. Dong, S.H.
Yang, and F. Yuan, Glutamate Impairs Mitochondria Aerobic Respiration
Capacity and Enhances Glycolysis in Cultured Rat Astrocytes. Biomed
Environ Sci, 2017. 30(1): p. 44-51.
42. Chowdhury, G.M.I., P. Wang, A. Ciardi, R. Mamillapalli, J. Johnson, W. Zhu,
T. Eid, K. Behar, and O. Chan, Impaired Glutamatergic Neurotransmission
in the VMH May Contribute to Defective Counterregulation in Recurrently
Hypoglycemic Rats. Diabetes, 2017.
43. Douglass, J.D., M.D. Dorfman, R. Fasnacht, L.D. Shaffer, and J.P. Thaler,
Astrocyte IKKβ/NF-κB signaling is required for diet-induced obesity and
hypothalamic inflammation. Molecular Metabolism, 2017. 6(4): p. 366-
373.
44. Buckman, L.B., M.M. Thompson, R.N. Lippert, T.S. Blackwell, F.E. Yull, and
K.L. Ellacott, Evidence for a novel functional role of astrocytes in the acute
homeostatic response to high-fat diet intake in mice. Mol Metab, 2015.
4(1): p. 58-63.
45. Chari, M., C.S. Yang, C.K.L. Lam, K. Lee, P. Mighiu, A. Kokorovic, G.W.C.
Cheung, T.Y.Y. Lai, P.Y.T. Wang, and T.K.T. Lam, Glucose Transporter-1 in
the Hypothalamic Glial Cells Mediates Glucose Sensing to Regulate Glucose
Production In Vivo. Diabetes, 2011. 60(7): p. 1901-1906.
.CC-BY-NC-ND 4.0 International licenseunder anot certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available
The copyright holder for this preprint (which wasthis version posted February 26, 2018. ; https://doi.org/10.1101/271981doi: bioRxiv preprint
Figure Legends
Figure 1. Acute low glucose increases AMP-activated protein kinase (AMPK)
pathway activation. Representative immunoblots from human primary astrocyte
(HPA, A; n=8) and U373 astrocytoma cells (B; n =3) exposed to 2.5 or 0.1 mmol/l
glucose media for 30 minutes. C, D. Densitometric analysis of immunostaining for
pT172 AMPK normalized to actin as a loading control. E, F. Densitometric analysis
of immunostaining for pS79 ACC normalized to actin as a loading control.
*P<0.05;***P<0.001. One-sample t-test in comparison to control.
Figure 2. Recurrent low glucose (RLG) increases baseline mitochondrial
metabolism and reduces mitochondrial coupling efficiency. Oxygen consumption
rate (OCR) of human primary astrocytes (HPA; A; 36-39 across three separate
assays) and U373 cells (B) following RLG (n=40-42, across across separate assays).
Cells were exposed to oligomycin (10 µM), FCCP (5 µM) and a combination of
rotenone and antimycin A (5 µM). C, D. Mean basal OCR in control and RLG treated
astrocytes. E, F. Coupling efficiency calculated from the ratio of oligomycin sensitive
OCR and basal OCR expressed as a percentage. G, H. Proton leak, calculated from
the oligomycin-insensitive (i.e. not ATP-synthase linked) OCR minus non-
mitochondrial respiration, from HPA cells and U373 cells. I, J. Extracellular
acidification rate (ECAR) analysis measured during mitochondrial stress tests. K, L.
Mean baseline ECAR in HPA and U373 cells following RLG, respectively. *P<0.05;
***P<0.001. Two-tailed students t-test.
Figure 3. Recurrent low glucose (RLG) increases glycolytic re-activation after
acute low glucose exposure. Extracellular acidification rate (ECAR) increased in
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human primary astrocyte (HPA) cells on re-introduction of 0.5 mmol/l glucose (A),
2.5 mmol/l glucose (B) and 5.5 mmol/l glucose (C). Oxygen consumption rate (OCR)
decreased on addition of 0.5 mmol/l glucose (D), 2.5 mmol/l glucose (E) and 5.5
mmol/l glucose (F). *P<0.05; **P<0.01; ***P<0.001 (n=8-10).
Figure 4. Recurrent low glucose (RLG) alters human primary astrocyte (HPA)
mitochondrial fuel flexibility to increase dependency on fatty acids for basal
oxidation. A-C. Inhibition of mitochondrial pyruvate carrier using UK5099 (2 µM) to
measure dependency, maximum capacity and flexibility within the glucose oxidation
pathway. D-F. Inhibition of the glutaminase using BPTES (3 µM) to measure changes
in the glutamine oxidation pathway following RLG. G-I. Inhibition of carnitine
palmitoyltransferase 1 CPT1 using etomoxir (4 µM) to measure changes in the fatty
acid (FA) oxidation pathway following RLG. *P<0.05 (n=21-32). Dependency:
contribution of that pathway to baseline oxygen consumption rate. Capacity:
maximum ability to oxidize through that pathway when two other oxidative pathways
are inhibited. Flexibility: calculated from the difference between dependency and
capacity.
Figure 5. Acute and recurrent low glucose (RLG) does not modify intracellular
ATP and ATP/ADP ratios. Total intracellular ATP levels in human primary
astrocytes (HPA; A, n=6) and U373 astrocytoma cells (B; n=6) exposed to different
glucose concentrations for 3 hours. Intracellular ATP/ADP ratios in HPA (C; n=6)
and U373 astrocytoma cells (D; n=4) exposed to 2.5 or 0.1 mmol/l glucose for 3
hours.
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Figure 6. Effect of recurrent low glucose (RLG) on human astrocyte lactate
release, glucose uptake and glycogen levels. Extracellular lactate levels measured
from conditioned media from human primary astrocytes (HPA; A; n=8) and U373 (B;
n=6) following exposure to 2.5 or 0.1 mmol/l glucose containing media for 3 hours.
Extracellular lactate levels normalized to glucose availability from conditioned media
from HPA (C; n=8) and U373 (D; n=6) following exposure to 2.5 or 0.1 mmol/l
glucose containing media for 3 hours. E. Fluorescent signal from labeled glucose
analogue 6-NBDG incubated with HPA cells for 15 minutes. F. Glycogen content of
HPA cells in control and following exposure to RLG (n=5). *P<0.05; **P<0.01;
***P<0.001.
Supplementary Figure 1. Illustration of the recurrent low glucose model. Over 4
days, cells are exposed to 0, 1, 3 or 4 bouts of 0.1 mM glucose, representing control,
acute low glucose, antecedent low glucose or recurrent low glucose, respectively.
Supplementary Figure 2. Acute and recurrent low glucose does not alter
mitochondrial number or length. A. Representative confocal images of human
primary astrocytes (HPA) cells exposed to 2.5 or 0.1 mM glucose for 3 hours
following control or recurrent low glucose exposure (RLG). Raw confocal images are
shown on the left hand side, with extracted signal images shown on the right. B.
Quantification of median object size (in pixels) using a custom MatLab script (15
images across 3 separate experiments).
Supplementary Figure 3. Recurrent low glucose (RLG) does not alter glycolytic
re-activation after acute low glucose exposure in U373 cells. Extracellular
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acidification rates (ECAR) increased in U373 cells on re-introduction of 0.5 mmol/l
glucose (A), 2.5 mmol/l glucose (B) and 5.5 mmol/l glucose (C) although this was not
significantly different between control and recurrent low glucose (RLG) treated cells.
Oxygen consumption rate (OCR) decreased on addition of 0.5 mmol/l glucose (D),
2.5 mmol/l glucose (E) and 5.5 mmol/l glucose (F), which was not significantly
different between control and RLG (n=8-10).
Supplementary Figure 4. Expression of key mitochondrial and glycolytic
markers are not altered by acute or recurrent low glucose exposure (RLG).
Glucose transporter 1 (GLUT-1), hexokinase I (HKI), hexokinase II (HKII),
hexokinase III (HKIII), phosphofructokinase [platelet; PFK(P)], voltage dependent
anion channel (VDAC), succinate dehydrogenase A (SDHA), carnitine
palmitoyltransferase 1α (CPT1α) and fatty acid synthesis (FAS) were not altered by
acute or recurrent low glucose exposure (n=3-4).
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Figure 1
CpT172 AMPK/Actin
[Glucose] (mM)2.5 0.1
*
pS79 ACC
pT172 AMPK
Actin
2.5 0.1
[Glucose] (mM)
A
pS79 ACC
pT172 AMPK
Actin
2.5 0.1
[Glucose] (mM)
B
pT172 AMPK/Actin
2.5 0.10
2
4
6
*
Fo
ld C
han
ge
inP
ho
sph
ory
lati
on
(A
U)
[Glucose] (mM)
Fo
ld C
han
ge
inP
ho
sph
ory
lati
on
(A
U)
2.5 0.10
2
4
6
HPA U373
EpS79 ACC/Actin
[Glucose] (mM)2.5 0.1
***
[Glucose] (mM)
Fo
ld C
han
ge
inP
ho
sph
ory
lati
on
(A
U)
0
1
2
3
4
5
pS79 ACC/Actin
2.5 0.10
1
2
3
4
5
*
Fo
ld C
han
ge
in
Ph
osp
ho
ryla
tio
n (
AU
)
D
F
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R/AOligo FCCP
B
0 20 40 60 80 1000
2
4
6
U373
Time (minutes)
OC
R (
pm
ol/m
in/μ
g) Control
RLGO
CR
(p
mo
l/min
/μg
)
Control RLG0.0
0.5
1.0
1.5
2.0
2.5
*
HPA Basal Mitochondrial Respiration
C
***
Per
cen
tag
e (
%)
HPA Coupling efficiency
Control RLG0
20
40
60
80
***
E U373 Coupling efficiencyP
erce
nta
ge
(%
)
Control RLG0
20
40
60
80
F
K
Control RLG
Basal ECAR
EC
AR
(m
pH
/min
/μg
)
0
1
2
3
4
5L
Control RLG
HG HPA Proton Leak
OC
R (
pm
ol/m
in/μ
g)
Control RLG0.0
0.2
0.4
0.6
0.8
1.0
***
U373 Proton Leak
OC
R (
pm
ol/m
in/μ
g)
Control RLG0.0
0.2
0.4
0.6
0.8
1.0
**
Figure 2
U373 Basal Mitochondrial Respiration
OC
R (
pm
ol/m
in/μ
g)
Control RLG0.0
0.5
1.0
1.5
2.0
2.5
D
AR/AOligo FCCP
0 20 40 60 80 1000
2
4
6
HPA
Time (minutes)
OC
R (
pm
ol/m
in/μ
g) Control
RLG
J
0 20 40 60 80 1000
2
4
6
Extracellular acidification rate
Time (minutes)
EC
AR
(m
pH
/min
/μg
)
RLGControl
I
0 20 40 60 80 1000
2
4
6
Extracellular acidification rate
Time (minutes)
EC
AR
(m
pH
/min
/μg
)
RLGControl
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Figure 3
A B C
D E F
Time (min)
ΔE
CA
R (
mp
H/m
in/μ
g)
0 20 40 60 800
10
20
30
40
ControlRLG
0.5 mM glucose
0.5 mM Glu
2.5 mM glucose
Time (min)
ΔE
CA
R (
mp
H/m
in/μ
g)
0 20 40 60 800
10
20
30
40
* *** ** **
** ** **
2.5 mM Glu
Time (min)
ΔE
CA
R (
mp
H/m
in/μ
g)
0 20 40 60 800
10
20
30
40
* * * * * * *
5.5 mM glucose
5.5 mM Glu
ControlRLG
0.5 mM glucose
Time (min)
ΔO
CR
(p
mo
l/min
/μg
) 20 40 60 80
-30
-20
-10
0
0.5 mM Glu
2.5 mM glucose
Time (min)
ΔO
CR
(p
mo
l/min
/μg
) 20 40 60 80
-30
-20
-10
0
* ** ** ***************2.5 mM Glu
5.5 mM glucose
Time (min)
ΔO
CR
(p
mo
l/min
/μg
) 20 40 60 80
-30
-20
-10
0
* * *5.5 mM Glu
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Figure 4
GLN Capacity
% C
apac
ity
Control RLG0
20
40
60E GLN Flexibility
% F
lexi
bili
ty
Control RLG0
10
20
30
40*
F
FA Dependency
% D
epen
den
cy
Control RLG0
5
10
15
20
25G
*FA Capacity
% C
apac
ity
Control RLG0
20
40
60
80H FA Flexibility
% F
lexi
bili
ty
Control RLG0
20
40
60I
*
GLC Dependency
% D
epen
den
cy
Control RLG0
10
20
30
40A GLC Capacity
% C
apac
ity
Control RLG0
20
40
60
80
100B GLC Flexibility
% F
lexi
bili
ty
Control RLG0
20
40
60C
GLN Dependency
% D
epen
den
cy
Control RLG0
10
20
30 p=0.09D
.CC-BY-NC-ND 4.0 International licenseunder anot certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available
The copyright holder for this preprint (which wasthis version posted February 26, 2018. ; https://doi.org/10.1101/271981doi: bioRxiv preprint
Figure 5
A HPA Total ATP
No
rmal
ised
Lu
min
esce
nce
(A
U)
2.5 0.1 2.5 0.10
50
100
150
Control RLG
[Glu] (mM)
B U373 Total ATP
No
rmal
ised
Lu
min
esce
nce
(A
U)
2.5 0.1 2.5 0.10
50
100
150
Control RLG
[Glu] (mM)
DU373 ATP/ADP Ratio
AT
P/A
DP
rat
io
2.5 0.1 2.5 0.10
2
4
6
Control RLG
[Glu] (mM)
CHPA ATP/ADP Ratio
AT
P/A
DP
rat
io
2.5 0.1 2.5 0.10
2
4
6
Control RLG[Glu] (mM)
.CC-BY-NC-ND 4.0 International licenseunder anot certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available
The copyright holder for this preprint (which wasthis version posted February 26, 2018. ; https://doi.org/10.1101/271981doi: bioRxiv preprint
F HPA Glycogen Content
[Gly
cog
en]
(um
ol/m
g)
Control RLG0
5
10
15
HPA 6-NBDG Uptake
Flu
ore
scen
ce (
AU
)
Control RLG0
20000
40000
60000
E
Figure 6
DU373 eLactate relativeto glucose availability
Lac
tate
(n
mo
l/mM
)
0
2000
4000
6000
******
Control2.5 0.1
RLG2.5 0.1
CHPA eLactate relativeto glucose availability
Lac
tate
(n
mo
l/mM
)
0
2000
4000
6000***
***
Control2.5 0.1
RLG2.5 0.1
B U373
Lac
tate
(n
mo
l/mg
)
0
200
400
600
800
1000
* **
Control2.5 0.1
RLG2.5 0.1[Glu] (mM) [Glu] (mM)
[Glu] (mM)[Glu] (mM)
A HPA
0
200
400
600
800
1000
Control2.5 0.1
RLG2.5 0.1
Lac
tate
(n
mo
l/mg
) .CC-BY-NC-ND 4.0 International licenseunder anot certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available
The copyright holder for this preprint (which wasthis version posted February 26, 2018. ; https://doi.org/10.1101/271981doi: bioRxiv preprint