Study of cortical energy metabolism during sensory stimulation-induced brain activity by ¹³C magnetic resonance spectroscopy in vivo

Cerebral function is associated with high metabolic activity that is supported by continuous supply of oxygen and glucose from the blood. Coupling between brain energy metabolism and neuronal activity has been studied extensively during the past decades. Notably, glucose metabolism was demonstrated to result from cellular cooperation between neurons and astrocytes. Although both cell types regulate synaptic transmission via the glutamate-glutamine cycle, the actual contribution of glial and neuronal oxidative metabolism is still unclear. Several research groups have tried to quantify cerebral energy metabolism in the living brain using methods, such as positron emission tomography, autoradiography and proton magnetic resonance spectroscopy (1H MRS). Yet, these methods lack chemical specificity and do not provide quantitative information specific to either cell types. The development of tracers detectable by MRS, such as 13C isotope, along with high magnetic field and dedicated hardware systems has improved sensitivity and has motivated the design of advanced metabolic modeling, in which cell types can be compartmentalized and which associated metabolic rates can be assessed independently of any prior estimations. The work of this thesis aimed at focally increasing neuronal activity and estimating the resulting changes in glial and neuronal oxidative metabolism using direct 13C MRS along with [1,6-13C]glucose infusion in vivo at 14.1 T. 4h-somatosensory stimulation paradigm was first developed in rats under alpha-chloralose. The protocol consisted on intermittently electrically stimulating both fore- and hindpaws, which resulted in a sustained and localized blood oxygenation level-dependent signal as assessed by functional magnetic resonance imaging. The relatively large activated area in the cortex allowed monitoring local 13C isotope incorporation over 4h into specific positions of glutamate, glutamine and aspartate. The analysis of the turnover curves with a two-compartment model of brain energy metabolism revealed an increase of both glial (VTCAg,+68 nmol/g/min,+22%) and neuronal (VTCAn,+62 nmol/g/min,+12%) oxidative metabolism associated with 95% increase (VNT,+67 nmol/g/min) in glutamate-glutamine cycle rate, which represents glutamatergic neurotransmission rate. The total increase in glucose oxidative metabolism was of 15% (CMRglc(ox), +67 nmol/g/min). In randomly delivering lines in 4 orientations and 2 directions, 4h-continuous stimulation of tree shrew primary visual cortex under light isoflurane anesthesia resulted in a decrease in both brain glucose concentration (-17%;-0.34 µmol/g) and phosphocreatine/creatine ratio (-9%;-0.07) after 16 minutes of stimulation onset, which recovered 21 minutes after stimulation offset. At the individual level, a nearly one-to-one relationships between VNT and CMRglc(ox) was observed. VTCAn and VTCAg were also coupled to VNT. At the group level, 20% increase in VNT (+0.038±0.042 µmol/g/min) resulted in 24% (+0.063±0.057 µmol/g/min) and 12% (+0.061±0.032 µmol/g/min) increase in VTCAg and VTCAn, respectively, resulting in 14% increase in CMRglc(ox) (+0.058±0.032 µmol/g/min). To conclude, this work demonstrates that a significant fraction of glucose is also oxidized in astrocytes and that both neuronal and astrocytic metabolism can be stimulated by and coupled to the glutamate-glutamine cycle rate.

Mathematical Modeling of Brain Energy Metabolism, Measured with PET and MRS in Rodents

Bernard Lanz

Positron emission tomography (PET) and nuclear magnetic resonance spectroscopy (MRS) are two biomedical measurement techniques developed in the end of the XXth century, which drastically improved the amount of accessible information available in vivo. PET became popular through the most widely used tracer, fluorodeoxyglucose (FDG), which enables the measurement of the local glucose utilization and is nowadays routinely applied in clinical practice. Nuclear magnetic resonance is used in a large array of applications such as in analytical chemistry or chemical structure determination and is essentially known for its versatile medical imaging capabilities, grouped under the name of magnetic resonance imaging (MRI) and magnetic resonance spectroscopy (MRS). In vivo MRS measures concentrations of metabolites by interacting with various nuclei such as 1H, 13C or 15N, with the major asset that MRS enables the identification of the chemical position at which the detected nuclei is located in the measured molecule. When coupled with labeled substrate infusions, dynamic MRS gives the opportunity to probe specific biochemical reactions directly in vivo, which opens the way to a wide range of metabolic studies. However, the correct interpretation of the elaborate dynamic labeling data acquired either with MRS or PET tracer experiments requires the application of adapted metabolic models to derive quantitative metabolic rates characterizing the biochemical processes under study. The work of this thesis involves both PET and MRS studies of brain energy metabolism in rodents and focuses on the development of adapted metabolic models to derive reliable metabolic fluxes characterizing various brain metabolic processes, such as glucose consumption, glial and neuronal oxidative metabolism and neurotransmission. FDG-PET enables the measurement of the cerebral metabolic rate of glucose (CMRGlc) using a three-compartment metabolic model for FDG transport across the blood-brain barrier and FDG phosphorylation to FDG-6P. Although this method is well established, a main drawback of CMRGlc measurement with FDG-PET is the necessity to characterize the available FDG concentration in the plasma over the experiment duration, the so-called arterial input function. This constraint is a strong limitation for preclinical studies in rodents, due to their low blood volume. We developed therefore a new method to extract the FDG input function directly from the PET images in rats and mice, using the time-activity curve of a voxel located in the inferior vena cava. The method was validated by comparison with a dedicated external blood counter and manual blood sampling. Using this method, a CMRGlc of ~0.22 μmol/g/min was determined in the mouse cortex. Glial oxidative metabolism can be specifically assessed using glial specific substrates, in particular [1-11C] acetate. However, no existing metabolic model described the 11C tissue activity curve in terms of neuroglial energy metabolism. In order to extract quantitative metabolic fluxes characterizing the glial TCA cycle rate and glutamate/glutamine cycling, we adapted the neuroglial two-compartment modeling approach previously used in 13C MRS cerebral metabolic studies to interpret positron emission data following 11C-acetate injection in the rat. The precision and accuracy of the estimated metabolic parameters was tested and a composite glial metabolic flux Vgtg=0.136 ± 0.042 μmol/g/min and a neurotransmission flux Vnt=0.170 ± 0.103 μmol/g/min were obtained. This approach enabled a direct comparison of the metabolic fluxes measured using 11C PET with the values determined with 13C MRS. In the field of 13C MRS, we took advantage of the higher sensitivity and spectral resolution available at high magnetic field (14.1T) to measure glial and neuronal oxidative metabolism, glutamatergic neurotransmission and pyruvate carboxylation in more details and with higher precision using both [1,6-13C2] glucose and [2-13C] acetate infusions in rats. In the acetate study, the glial specific uptake of acetate enabled a quantification of glial oxidative metabolism with unrivalled precision. We could estimate for the first time separately the transmitochondrial flux Vx in the glial and neuronal compartment, a biochemical pathway which has been subject of strong controversy. The glial and neuronal Vx were determined with high precision, as calculated through Monte Carlo simulation, and their value was on the same order of magnitude than the respective glial and neuronal TCA cycle flux. The model was extended to estimate the fraction of glutamate located in the glial compartment. A glial glutamate concentration of 0.6 ± 0.1 μmol/g was found. The values of the different metabolic fluxes characterizing the neuroglial system (Vtcag=0.27, Vxg=0.17, VPC=0.087, VNT=0.15, Vtcan=0.37 and Vxn=0.46 μmol/g/min) were in very good agreement with the values found using [1,6-13C2] glucose infusion. In addition, the effect of the MRS temporal resolution, experiment duration and signal- to-noise ratio on the precision of the derived metabolic fluxes was analyzed. Previous simulation studies showed that two-compartment modeling of neuroglial metabolism using 13C glucose infusion could lead to unreliable parameter estimations. However, using polarization transfer 13C MRS at 14.1T, the carbon positions C4, C3 and C2 of glutamate and glutamine as well as the positions C3 and C2 of aspartate could be measured with high SNR. The C2 positions were used in two-compartment modeling for the first time, enabling a precise measurement of the apparent glutamatergic neurotransmission and glial metabolism, including pyruvate carboxylation, as confirmed by Monte Carlo simulation. The glial dilution at the level of acetyl-CoA, which is related to the metabolism of other substrates than glucose, could also be characterized. Brain metabolism under hyperammonemic conditions was probed with 15N MRS under labeled ammonia infusion and modeled using a modified neuroglial two- compartment model describing the dynamics of [5-15N] glutamine, [2-15N] glutamate and [2-15N] glutamine. Due to detoxification processes, the total glutamine concentration, measured with 1H MRS, was steadily increasing. This non-steady- state metabolic condition resulting from the hyperammonemic stress was taken into account in the model, resulting in the determination of the apparent neurotransmission (0.26 ± 0.030 μmol/g/min), the glutamate dehydrogenase (0.029 ± 0.002 μmol/g/min) and net glutamine accumulation (0.033 ± 0.001 μmol/g/min). Finally, compartmental modeling was applied to 13C labeling studies in the awake rat, fed during 5, 24 or 48 h with a [1-13C]-labeled glucose solution, to determine brain glycogen and NAA turnover times (τGlyc=5.3 ± 3.2 h and τNAA=15.6 ± 6.5 h), using 13C spectra of brain extracts. A group of rats followed a mild brain activation protocol over 5 hours, which resulted in a decreased glycogen turnover time (τGlyc =2.9 ± 1.2 h).

EPFL2012

Cellular mechanisms of brain energy metabolism and their relevance to functional brain imaging

Pierre Magistretti, Luc Pellerin

Despite striking advances in functional brain imaging, the cellular and molecular mechanisms that underlie the signals detected by these techniques are still largely unknown. The basic physiological principle of functional imaging is represented by the tight coupling existing between neuronal activity and the associated local increase in both blood flow and energy metabolism. Positron emission tomography (PET) signals detect blood flow, oxygen consumption and glucose use associated with neuronal activity; the degree of blood oxygenation is currently thought to contribute to the signal detected with functional magnetic resonance imaging, while magnetic resonance spectroscopy (MRS) identifies the spatio-temporal pattern of the activity-dependent appearance of certain metabolic intermediates such as glucose or lactate. Recent studies, including those of neurotransmitter-regulated metabolic fluxes in purified preparations and analyses of the cellular localization of enzymes and transporters involved in energy metabolism, as well as in vivo microdialysis and MRS approaches have identified the neurotransmitter glutamate and astrocytes, a specific type of glial cell, as pivotal elements in the coupling of synaptic activity with energy metabolism. Astrocytes are ideally positioned to sense increases in synaptic activity and to couple them with energy metabolism. Indeed they possess specialized processes that cover the surface of intraparenchymal capillaries, suggesting that astrocytes may be a likely site of prevalent glucose uptake. Other astrocyte processes are wrapped around synaptic contacts which possess receptors and reuptake sites for neurotransmitters. Glutamate stimulates glucose uptake into astrocytes. This effect is mediated by specific glutamate transporters present on these cells. The activity of these transporters, which is tightly coupled to the synaptic release of glutamate and operates the clearance of glutamate from the extracellular space, is driven by the electrochemical gradient of Na+. This Na(+)-dependent uptake of glutamate into astrocytes triggers a cascade of molecular events involving the Na+/K(+)-ATPase leading to the glycolytic processing of glucose and the release of lactate by astrocytes. The stoichiometry of this process is such that for one glutamate molecule taken up with three Na+ ions, one glucose molecule enters an astrocyte, two ATP molecules are produced through aerobic glycolysis and two lactate molecules are released. Within the astrocyte, one ATP molecule fuels one 'turn of the pump' while the other provides the energy needed to convert glutamate to glutamine by glutamine synthase. Evidence has been accumulated from structural as well as functional studies indicating that, under aerobic conditions, lactate may be the preferred energy substrate of activated neurons. Indeed, in the presence of oxygen, lactate is converted to pyruvate, which can be processed through the tricarboxylic acid cycle and the associated oxidative phosphorylation, to yield 17 ATP molecules per lactate molecule. These data suggest that during activation the brain may transiently resort to aerobic glycolysis occurring in astrocytes, followed by the oxidation of lactate by neurons. The proposed model provides a direct mechanism to couple synaptic activity with glucose use and is consistent with the notion that the signals detected during physiological activation with 18F-deoxyglucose (DG)-PET may reflect predominantly uptake of the tracer into astrocytes. This conclusion does not question the validity of the 2-DG-based techniques, rather it provides a cellular and molecular basis for these functional brain imaging techniques.

1999

The contribution of astrocytes to the 18F-2-deoxyglucose signal in PET activation studies

Pierre Magistretti, Luc Pellerin

With the development of functional brain imaging techniques such as Positron Emission Tomography (PET) and functional Magnetic Resonance Imaging (fMRI) it has become possible to visualize brain areas that are activated by a variety of sensory, motor or cognitive tasks. This technological progress has permitted a kind of in vivo functional neuroanatomy which has led to the identification of neural circuits subserving specific brain functions. Metabolic processes linked to neuronal activity--such as blood flow, glucose utilization and oxygen consumption--provide the signals detected with most functional brain-imaging techniques. These metabolic indices have been examined in a variety of psychiatric and neurological disorders. This article focuses on the use of (18F)fluoro-2-deoxyglucose (FDG)-PET in the study of psychiatric disorders; it is mainly intended to bring a novel perspective, based on recent experimental data, on the cellular and molecular mechanisms that underlie the FDG-based PET imaging. These new observations point to a critical role of a particular glial cell type, the astrocyte, in coupling neuronal activity to glucose utilization. Indeed it appears that in response to glutamate released by active neurons, glucose is predominantly taken up by specialized astrocytic processes, the end-feet, which surround brain capillaries; glucose is then metabolized to lactate, which provides a preferred energy substrate for neurons. These data support the notion that astrocytes markedly contribute to the FDG-PET signal. This perspective may also provide renewed insights for the interpretation of FDG-PET studies in psychiatric disorders.

1996

Mathematical Modeling of Brain Energy Metabolism, Measured with PET and MRS in Rodents

Bernard Lanz

EPFL2012

Cellular mechanisms of brain energy metabolism and their relevance to functional brain imaging

Pierre Magistretti, Luc Pellerin

1999