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. Author manuscript; available in PMC: 2013 Jul 1.
Published in final edited form as: Glia. 2012 Apr 25;60(7):1172–1181. doi: 10.1002/glia.22344

Redistribution of monocarboxylate transporter 2 on the surface of astrocytes in the human epileptogenic hippocampus

Fredrik Lauritzen a,b,g,h, Kjell Heuser f, Nihal C de Lanerolle c, Tih-Shih W Lee d, Dennis D Spencer c, Jung H Kim e, Albert Gjedde g,h,i,j,k, Tore Eid b, Linda H Bergersena a,g,h
PMCID: PMC3664041  NIHMSID: NIHMS465505  PMID: 22535546

Abstract

Emerging evidence points to monocarboxylates as key players in the pathophysiology of temporal lobe epilepsy (TLE) with hippocampal sclerosis (mesial temporal lobe epilepsy, MTLE). Monocarboxylate transporters (MCT) 1 and 2, which are abundantly present on brain endothelial cells and perivascular astrocyte endfeet, respectively, facilitate the transport of monocarboxylates and protons across cell membranes. Recently, we reported that the density of MCT1 protein is reduced on endothelial cells and increased on astrocyte plasma membranes in the hippocampal formation in patients with MTLE and in several animal models of the disorder. Because the perivascular astrocyte endfeet comprise an important part of the neurovascular unit we now assessed the distribution of the MCT2 in hippocampal formations in TLE patients with (MTLE) or without hippocampal sclerosis (non-MTLE). Light microscopic immunohistochemistry revealed significantly less perivascular MCT2 immunoreactivity in the hippocampal formation in MTLE (n=6) than in non-MTLE (n=6) patients, and to a lesser degree in non-MTLE than in non-epilepsy patients (n=4). Immunogold electron microscopy indicated that the loss of MCT2 protein occurred on perivascular astrocyte endfeet. Interestingly, the loss of MCT2 on astrocyte endfeet in MTLE (n=3) was accompanied by an upregulation of the protein on astrocyte membranes facing synapses in the neuropil, when compared with non-MTLE (n=3). We propose that the altered distribution of MCT1 and MCT2 in TLE (especially MTLE) limits the flux of monocarboxylates across the blood brain barrier and enhances the exchange of monocarboxylates within the brain parenchyma.

Keywords: Blood-brain barrier, astrocyte endfoot, hippocampal sclerosis, ketone bodies, ketongenic diet

INTRODUCTION

Emerging evidence points to monocarboxylates, i.e., lactate, pyruvate, β-hydroxybutyrate and acetoacetate, as key players in the pathophysiology of medication-refractory TLE (Lauritzen et al. 2011; Lauritzen et al. 2012). Monocarboxylates use a specific transport mechanism provided by proton-linked monocarboxylate transporters (MCTs) to cross cell membranes (Halestrap and Meredith 2004). Recently, we discovered that MCT1 protein is less densely expressed on the endothelial cell membranes of microvessels from surgically resected hippocampal formations from patients with medication-refractory TLE (Lauritzen et al. 2011). Similar findings were also evident in several animal models of TLE (Lauritzen et al. 2012). We proposed that the loss of MCT1 on endothelial cells is implicated in the increased seizure susceptibility of medication-refractory TLE by limiting the transport of ketone bodies or other monocarboxylates across the blood-brain barrier (Gjedde and Crone 1975). This hypothesis presumes that other MCT isoforms do not compensate for the altered expression of MCT1.

At least two additional isoforms are present in the brain: MCT2 and MCT4 (Halestrap and Meredith 2004). MCT2 has a higher affinity for monocarboxylates as well as a different cellular expression than MCT1. There are discrepant reports in the literature on the distribution of MCT2; however, most studies in rodents indicate that the protein is expressed along the post-synaptic density of excitatory synapses and on perivascular astrocyte endfeet (Baud et al. 2003; Bergersen et al. 2001; Bergersen et al. 2005; Gerhart et al. 1998; Hanu et al. 2000; Rafiki et al. 2003). Whether MCT2 is expressed in significant quantities in the human brain remains controversial (Chiry et al. 2008; Price et al. 1998).

The aim of this study was twofold: First, to assess whether MCT2 is expressed in significant quantities in the human hippocampal formation. Second, to evaluate possible changes in the distribution of MCT2 in the hippocampal formation in patients with two types of medication-refractory TLE vs. in non-epilepsy control subjects.

MATERIALS AND METHODS

Human subjects and tissue preparation

Patients with medication-refractory TLE underwent phased presurgical evaluation at the Yale-New Haven Hospital, and those elected for surgery had their hippocampus resected according to standard procedures (Spencer and Spencer 1991). Informed consent from each patient and institutional approval were obtained for the surgery and for the use of tissue for this study. Randomly selected hippocampal formations from 23 TLE patients were included in the study (Table 1). Six hippocampal formations obtained at autopsy from non-epilepsy subjects were included as additional comparison controls. The TLE patients were classified into two categories: Patients with TLE and concomitant hippocampal sclerosis (referred to as mesial temporal lobe epilepsy, MTLE, n=12) and patients with other types of TLE, i.e., non-MTLE (n=11). For complete characterizations of the two TLE-groups, please refer to Eid and colleagues (Eid et al. 2004). Tissue preparation was done as previously described (Lauritzen et al. 2011). The category to which each sample belonged was concealed from the investigators during stereological and quantitative immunogold analysis.

Table 1. Characteristics of patients selected for the study.

Patient and
classificatio
n
Sex Age
(years)
Time since first
unprovoked
seizure (years)
Antiepileptic drugs at
surgery
MRI findings Pathology Immunohistochemical
labeling
Non-MTLE
1
F 18 3 Valproate, lamotrigine Open lip schizencephaly, R hemisphere Marked gliosis in cortex and
white matter
LM: β-dystroglycan
2 F 28 21 Lamotrigine, zonisamide,
phenytoin
Nonspecific, focal T2 signal
hyperintensities in subcortical white
matter, R frontal lobe
Mild to moderate neuronal
loss with severe reactive
gliosis. Abnormal lamination
and clustering of neurons.
LM: MCT2, β-dystroglycan
3 M 4 2 Oxcarbazepine Abnormal signal of R amygdala,
hippocampal head and
parahippocampal gyrus with cyst near R
hippocampal head
Oligodendroglioma LM:β-dystroglycan
4 F 49 13 Carbamazepine XR,
phenytoin, lamotrigine
Large mass in R frontal and R temporal
lobes
Oligodendroglioma and
ganglioneurocytoma
LM: MCT2, β-dystroglycan
5 F 38 <1 Levetiracetam Nonenhancing R hippocampal lesion Glioma LM: MCT2, β-dystroglycan
6 M 13 9 Phenytoin, levetiracetam,
carbamazepine
Large porencephalic cavity in the R MCA
distribution with surrounding gliosis.
Compatible with remote R MCA infarct.
Frequent heterotopic
neurons in molecular layer of
cerebral cortex
LM: MCT2
7 M 6 Levetiracetam, lamotrigine Abnormal gray matter with local mass-
effect involving L frontal cortex. Possible
localized hemimegalencephaly and
cortical dysplasia.
Cortical dysplasia LM: MCT2, β-dystroglycan
8 M 69 7 Phenytoin Neoplastic lesion, R temporal lobe Oligodendroglioma LM: MCT2
9 F 10 5 Lamotrigine R temporal tumor Low-grade astrocytoma EM: MCT2
10 M 28 26 Carbamazepine,
acetazolamide
Ectopic gray matter adjacent to L
anterior horn. High-signal by FLAIR in R
posterior temporal lobe with
corresponding low T1 signal. Possible
bilateral hippocampal atrophy.
Heterotopic neurons in the
molecular layer of the
dentate gyrus. Subpial glial
cell proliferation.
EM: MCT2
11 M 44 26 Carbamazepine,
clonazepam
Possible R mesial temporal sclerosis Hippocampus w/mild, diffuse
neuronal loss and mild to
moderate increase in
number of white matter glial
cells.
EM: MCT2
MTLE
12
F 17 5 Oxcarbazepine,
lamotrigine,
carbamazepine
Heterotopic gray matter in posterior R
temporal lobe white matter with
extension to the atrium and body of the
right lateral ventricle.
Hippocampal sclerosis LM: MCT2
13 M 57 39 Phenytoin, carbamazepine,
topiramate, levetiracetam
Mesial temporal sclerosis Hippocampal sclerosis LM: β-dystroglycan
14 F 51 48 Levetiracetam, pregabalin R mesial temporal sclerosis Hippocampal sclerosis LM: MCT2, β-dystroglycan
15 F 40 28 Felbamate, topiramate,
gabapentin, carbamazepine
L hippocampal sclerosis Hippocampal sclerosis LM: MCT2
16 F 42 7 Levetiracetam,
oxcarbazepine
R hippocampal sclerosis Hippocampal sclerosis LM: MCT2, β-dystroglycan
17 F 40 37 Carbamazepine,
levetiracetam, zonisamide
L hippocampal sclerosis Hippocampal sclerosis LM: β-dystroglycan
18 M 62 56 Valproate, levetiracetam,
phenytoin
L mesial temporal sclerosis Hippocampal sclerosis LM: MCT2
19 F 40 27 Carbamazepine,
levetiracetam
Increased T2 signal, L hippocampus Hippocampal sclerosis LM: MCT2, β-dystroglycan
20 F 30 22 Zonisamide, carbamazepine
XR
R mesial temporal sclerosis Hippocampal sclerosis LM: β-dystroglycan
21 F 51 11 Carbamazepine L mesial temporal sclerosis Hippocampal sclerosis EM: MCT2
22 F 37 11 Primidone, lamotrigine R mesial temporal sclerosis Hippocampal sclerosis EM: MCT2
23 F 15 5 Carbamazepine XR,
lamotrigine
L mesial temporal sclerosis Hippocampal sclerosis EM: MCT2
Patient and classification Sex Age (years) Cause of death Immunohistochemical labeling
Autopsy 1 M 33 Adenocarcinoma of lung with widespread metastases LM: MCT2, β-dystroglycan
2 M 52 Myocardial infarct, coronary atherosclerosis LM: MCT2, β-dystroglycan
3 F 49 Ruptured berry aneurysm, R posterior inferior cerebellar artery LM: MCT2
4 F 76 Peritonitis LM: MCT2
5 M 61 Myocardial infarct, cardiovascular atherosclerosis LM: β-dystroglycan
6 F 62 Dementia, mixed type LM: β-dystroglycan

Abbreviations: L, left; MCA, middle cerebral artery; R, right; XR, extended release

Light microscopic immunohistochemistry and stereological point count analysis

Fifty μm thick Vibratome sections were incubated free floating in solutions of β-dystroglycan (B-DG-CE, Novocastra; 0.1 μg/ml) or MCT2 (AB1287, Millipore, Billerica, MA; diluted 1:100) antibodies for 72 h at 4 °C and processed according to the avidin biotin peroxidase method (Hsu et al. 1981) using the Vectastain Elite Kit (Vector Laboratories, Burlingame, CA). The immunostained sections were mounted on gelatin coated glass slides and examined in a light microscope. To quantify the density of β-dystroglycan and MCT2-positive structures on hippocampal formations, stereological point count analysis (Gundersen et al. 1988) was performed as follows: A test system with a set of regularly spaced points was created on a transparent A4-sized foil and superimposed on printed A4-sized pictures of β-dystroglycan or MCT2 labeled hippocampal sections. The areal density of positive profiles was estimated by counting points hitting β-dystroglycan- or MCT-labeled structures, divided by points hitting the hippocampal formation. Densities were expressed as positive counts per 100 counts.

Electron microscopic immunocytochemistry

The postembedding immunogold method was done as described by Bergersen and colleagues (Bergersen et al. 2008). Small tissue blocks (0.3 × 0.5 × 1 mm3) of area CA1 were dissected from 500-μm thick Vibratome sections and subjected to freeze substitution. Single immunogold labeling for MCT2 was performed on ultrathin sections from 3 non-MTLE and 3 MTLE patients using a rabbit anti-MCT2 primary antibody (kindly provided by A. Halestrap, University of Bristol, UK, (Jackson et al. 1997), 1:100) and a colloidal gold-conjugated secondary antibody (goat F (ab) anti-rabbit 10 nm, BB International, Cardiff; 1:20). Images were taken with a FEI Technai 12 transmission electron microscope (Hillsboro, OR). The specificity of the primary and secondary antibodies was tested by preabsorbtion with the peptide used for immunization and by omitting the primary antibody from the immunogold protocol, respectively, both of which prevented labeling of tissue components (Bergersen et al. 2008).

Immunogold quantification

The MCT2-gold particle (gp) densities were determined on astrocyte membranes facing microvessels, i.e. endfeet specializations, and on plasma membranes of astrocyte processes in the neuropil. Morphological criteria according to Peters and colleagues were used to identify the profile types (Peters et al. 1991). The MCT2 labeling densities were quantified using the following procedures: i) Astrocyte endfeet. Ten random microvessels were examined from each patient. Since astrocyte endfeet form an essentially continuous cover around the microvessels in the brain (Mathiisen et al. 2010), all membranes facing the basal lamina were included in the analysis. The length of each membrane profile was measured using Image J (National Institutes of Health, Bethesda, MD), and associated gp recorded, including gp with their centers located on the membrane itself or within 30 nm on the intracellular side. As about 90 % of the gp that represent a membrane protein are found within 40 nm of the midline of the membrane profile (Chaudhry et al. 1995), the 30 nm distance includes most of the relevant gp, at the same time minimizing the contribution of any immunoreactivity elsewhere than in the membrane; gp within 30 nm on the extracellular side were excluded to minimize the contribution of gp representing antigenic sites in neighboring cells. The areal densities of membrane-associated gp were calculated by dividing the number of gp by the “membrane area” (membrane length in nm × 30 nm). Densities were expressed as gp/μm2. ii) Plasma membranes of astrocyte processes in the neuropil. Fifteen random astrocyte processes localized in the neuropil were examined for each patient. Gold particle densities were calculated and expressed as described for i).

Statistical analysis

A one-way ANOVA followed by a Tukey HSD post-hoc test were used for multiple comparisons (point count analysis of β-dystroglycan and MCT2 in non-epilepsy controls, non-MTLE and MTLE). A student’s T-test was used for comparison of immunogold labeling of MCT2 between non-MTLE and MTLE patients. A p value of < 0.05 was considered a statistically significant difference. Unless otherwise stated, the data are presented as mean ± SD.

RESULTS

Consistent with earlier reports (Eid et al. 2004; Lauritzen et al. 2011), the histopathology of hippocampal formations from autopsy controls (n=6) (Figs. 1B, C) and non-MTLE patients (n=11) (Figs. 1D, E) were impossible to distinguish visually, and did not exhibit significant neuronal loss or reactive gliosis. However, patterned neuronal cell loss and proliferation of glial cells were prominent in sections from MTLE patients (n=12), particularly in the dentate hilus and CA1 (Fig. 1F, G respectively).

Fig. 1. Nissl-stained coronal sections from representative cases.

Fig. 1

High-power images from the dentate hilus (B, D, F) and CA1 (C, E, G) of the hippocampal formation (A) are presented. Hippocampal formations from autopsy and non-MTLE subjects are characterized by abundant neurons (arrows) in the hilus (B, D) and CA1 (C, E). In contrast, there is marked neuronal loss in the hilus (F) and CA (G) in the hippocampal formation in MTLE subjects. The loss of neurons in these areas is accompanied by reactive gliosis (open arrowheads in F, G). Little or no reactive gliosis is present in autopsy (B, C) or non-MTLE (D, E). Abbreviations: al, alveus; EC, entorhinal cortex; CA1-3, cornu ammonis 1-3 of the hippocampus; DG, dentate gyrus; fi, fimbria; gcl, granular cell layer; ml, molecular layer of the DG; sl-m, stratum lacunosum-moleculare; so, stratum oriens; pcl, stratum pyramidale; sr, stratum radiatum; SUB, subiculum. Bars: A, 1 mm: B-G, 200 um.

We next used immunohistochemistry and quantitative stereological analysis to compare the expression of MCT2 to that of β-dystroglycan in hippocampal formations from autopsy (n=4 and 4 respectively), non-MTLE (n=6 and 6) and MTLE patients (n=6 and 6) (Fig. 2). β-dystroglycan, a member of the dystrophin associated protein complex has been hypothesized to play a key role in the integrity of the blood brain barrier (Zaccaria et al. 2001) and was used is a marker for perivascular endfeet (Tian et al. 1996). As indicated also by Heuser and colleagues (Loss of perivascular Kir4.1 potassium channels in the sclerotic hippocampus of patients with mesial temporal lobe epilepsy. Unpublished manuscript), there was no difference in the density of β-dystroglycan labeled microvessels between the patient groups (p = 0.159) (Fig. 2A-I, S). In contrast, such homogeneity among groups was not present on sections labeled for MCT2 (Fig. 2J-R). The labeling pattern for MCT2 in non-epilepsy control (Fig. 2J, M, N) was similar to that for β-dystroglycan (Fig. 2A-I), indicating that MCT2 and β-dystroglycan are expressed on the same microvessels. However, in TLE patients (Fig. 2K-R) the MCT2 labeling along microvessels was reduced compared with the labeling of β-dystroglycan. Densities of MCT2 labeled structures were reduced by 52 % in non-MTLE (11±5 positive counts per 100 counts, p=0.003), and by 87 % in MTLE (3±2, p<0.001) compared to non-epilepsy autopsy specimens (23±5). A 73 % reduction in MCT2-density was found in MTLE vs. non-MTLE (p=0.018). The greatest loss of labeling was seen in areas of MTLE exhibiting neuronal loss and reactive gliosis, such as the dentate hilus (Fig. 2Q) and CA1 (Fig. 2R). In those areas, the microvessel associated labeling of MCT2 was replaced by a diffuse, granular labeling of MCT2 in the neuropil (Fig. 2Q-R). The ratios between MCT2 and β-dystroglycan labeling densities were 1.0±0.2, 0.5±0.2 and 0.1±0.1 for autopsy, non-MTLE and MTLE respectively, showing that essentially all microvessels expressed MCT2 protein in non-epilepsy hippocampal formations (ratio = 1), whereas many microvessels expressed β-dystroglycan but not MCT2 in non-MTLE vs. autopsy (P=0.001) and in MTLE vs. autopsy (p<0.001) (Fig. 2T). We discovered a smaller but significant reduction in the MCT2/β-dystroglycan ratio in MTLE vs. non-MTLE (p=0.011), consistent with the hypothesis of significantly fewer MCT2-positive microvessels in the MTLE than in the non-MTLE hippocampal formation.

Fig. 2. Immunohistochemistry quantitation of microvessels labeled with β-dystroglycan and monocarboxylate transporter 2 (MCT2).

Fig. 2

(A-I) β-dystroglycan is abundantly expressed on microvessels (arrows) throughout the hippocampal formation in autopsy (A, D, E), non-MTLE (B, F, G) and MTLE (C, H, I) subjects. There is no difference in the density of β-dystroglycan positive microvessels in the hippocampal formation among autopsy, non-MTLE or MTLE subjects (p = 0.159) (S). The diagrams depict mean±SD. (J-R) Microvessels are densely labeled with MCT2 in autopsy hippocampal formations (J, M, N). The labeling pattern and density are similar to that of β-dystroglycan (S). However, there is a significant loss of MCT2-positive microvessels in non-MTLE (K, O, P) vs. autopsy (J, M, N, S) and in MTLE (L, Q, R) vs. non-MTLE and autopsy (S). The reduction of MCT2-positive microvessels is particularly evident in areas with considerable neuronal loss and reactive gliosis, such as the dentate hilus (Q) and CA1 (R). Here, the transporter is completely lost (asterisk) or strongly reduced (open arrowhead), compared to similar regions in autopsy (M, N) and non-MTLE (O, P). The ratios of the labeling densities in MCT2 vs. β-dystroglycan confirm that the loss of MCT2 on astrocyte endfeet is not due to a loss of β-dystroglycan associated microvessels. Bars: Large images (A-C, J-L), 1 mm; insets (D-I, M-R), 200 μm.

Immunogold electron microscopy revealed that MCT2 is primarily present on the plasma membranes of perivascular astrocyte endfeet and of astrocyte processes in the neuropil, in non-MTLE as well as in MTLE hippocampal formations (Fig. 3). Unlike MCT1 (Lauritzen et al. 2011), MCT2 was not detected on the endothelium of microvessels. Due to the poor ultrastructural quality of the autopsy tissue, the electron microscopic analysis was limited to non-MTLE and MTLE brains, which were chemically fixed immediately after surgical resection. In non-MTLE hippocampal formations, dense MCT2-labeling was present along membranes of astrocyte endfeet (126±44 gp/um2) (Fig. 3A), whereas scant labeling was present on astrocyte plasma membranes in the neuropil (8±5 gp/um2) (Fig. 3B). A reverse pattern was found in MTLE, in which there was a substantial decrease in labeling on astrocyte endfeet compared to non-MTLE (73±26 gp/um2) (Fig. 3C). In addition, MCT2 was strongly upregulated on the plasma membrane of astrocytes in the neuropil in MTLE, (49±24) (Fig. 3D). As expected, the labeling ratio of MCT2 on astrocyte perivascular endfeet vs. astrocyte processes in the neuropil was significantly lower in MTLE compared to in non-MTLE (1.9±1.2 vs. 6.9±1.4, p=0.01) (Fig. 4).

Fig. 3. Immunogold electron microscopy of monocarboxylate transporter 2 (MCT2) on perivascular astrocyte endfeet membranes (green) and on astrocyte plasma membranes in the neuropil (yellow).

Fig. 3

Dense labeling of membrane associated MCT2 (red arrowheads) is present along the perivascular astrocyte endfoot facing the basal lamina (stippled line) in non-MTLE (A), whereas labeling of the same compartment is significantly reduced in MTLE (C). MCT2 labeling is also found on astrocytes plasma membranes in the neuropil, and to a lesser extent on organelles in the cytoplasm of these cells (B, D). Compared to non-MTLE (B), the density of MCT2 on plasma membranes of astrocytes in the neuropil is significantly upregulated in MTLE (stippled line in D). Abbreviations: astro, astrocytes; AT, axon terminal; bl, basal lamina; end, endothelial cell; lu, lumen; m, mitochondria. Arrow, bundle of intermediate filaments. Bars: 500 nm.

Fig. 4. Quantitation of immunogold labeling for monocarboxylate transporter 2 (MCT2) on astrocytes in CA1 of the hippocampal formation.

Fig. 4

The redistribution of MCT2 in MTLE resulted in a reduced ratio of MCT2 labeling on perivascular endfeet and plasma membrane of astrocytes in the neuropil in these subjects compared to in non-MTLE (p=0.01).

DISCUSSION

This is the first study of the cellular and ultrastructural distribution of MCT2 protein in the hippocampal formation in patients with medically intractable TLE. MCT2 protein was abundantly expressed in the hippocampal formation in all subject categories. Patients with TLE were characterized by a loss of MCT2 on perivascular astrocyte endfeet membranes, and an upregulation of the protein on astrocyte plasma membranes in the neuropil. The redistribution of MCT2 was most prominent in patients with TLE and concomitant hippocampal sclerosis (i.e., MTLE).

There is increasing evidence to suggest that astrocytes contribute to the development of neurological disorders such as epilepsy (de Lanerolle et al. 2010; Harris 1975; Pollen and Trachtenberg 1970). Notably, the sclerotic hippocampal formation in MTLE is characterized by expanded populations of phenotypically and functionally altered (often termed “reactive”) astrocytes. Reactive astrocytosis has been proposed to facilitate the development of epileptic seizures via a variety of mechanisms (de Lanerolle et al. 2010). Our observations that the distribution of MCT2 protein are altered on astrocytes in the human epileptogenic hippocampal formation further define the concept and possible consequences of reactive astrocytosis in TLE. The potential significance of the aberrant expression of MCT2 on reactive astrocytes will be discussed below.

MCT2 deficiency on perivascular endfeet

As the astrocyte endfeet cover most of the circumference of the blood vessels (Mathiisen et al. 2010), the majority of the monocarboxylate flux into and out of the brain is facilitated by astrocytes. The loss of MCT2 on perivascular endfeet in the human epileptogenic hippocampal formation suggests that both influx and the efflux of monocarboxylates to the brain, are perturbed. An adequate exchange of monocarboxylates across the blood brain barrier appears to be required for normal brain function (Ivanov and Zilberter 2011; Suzuki et al. 2011) and a deficiency of monocarboxylate fuels, especially ketone bodies, may promote hyperexcitability (Holmgren et al. 2010). Ketone bodies are metabolized in the normal human brain, even during euglycemic, non-ketonemic conditions (Pan et al. 2002). It is plausible that ketone bodies, even in small quantities, are necessary for normal brain activity, such as excitatory and inhibitory neurotransmission. Notably, Juge and colleagues recently discovered that acetoacetate modulates vesicular glutamate release and suppresses seizures evoked with 4-aminopyridine (Juge et al. 2010). Furthermore, ketone bodies enhance the brain energy stores (Pan et al. 1999), increase the number of mitochondria and render hippocampal synapses more resilient to synaptic depression following mild hypoglycemia (Bough et al. 2006). Ketone bodies also enhance GABA-mediated inhibition (Williamson et al. 2005), thus resulting in more sustained GABA-mediated inhibition (Cantello et al. 2007).

The transport of monocarboxylates between cells is bidirectional and dependent on the concentration gradient of these molecules and of protons across the plasma membrane. At rest, the brain exports small amounts of lactate, but imports lactate when plasma levels rise above brain levels, such as during physical exercise (van Hall et al. 2009). The loss of MCT1 and MCT2 associated with microvessels in TLE suggests that the clearance of brain lactate by the blood, as well as import of lactate from the blood to the brain, may be impaired in this condition. Microdialysis studies have indeed demonstrated that extracellular lactate is chronically elevated in the epileptogenic hippocampal formation in patients with TLE, hours to days away from a seizure episode (Cavus et al. 2005). Moreover, extracellular brain lactate increases above the basal levels during a seizure episode in similar patient populations (During et al. 1994). Impaired export of lactate and protons from the brain to the blood when the rate glycolysis is higher than the oxidative metabolism of glucose could acidify the astrocyte cytoplasm, slow the rate of glycolysis through inhibition of phosphofructokinase, and thus inhibit the synthesis of ATP (Leite et al. 2011). A deficiency in ATP in astrocytes is likely to impair the uptake of extracellular glutamate (Danbolt 2001). Numerous studies in laboratory animals have demonstrated that an excess of extracellular brain glutamate can cause seizures and neuronal death (Olney et al. 1986). Notably, increased extracellular glutamate concentrations are present in the epileptogenic hippocampal formation in patients with TLE, even several hours away from a seizure, and the extracellular glutamate levels are particularly high when hippocampal sclerosis is present (Cavus et al. 2005; During and Spencer 1993). Thus, it is possible that the accumulation of lactate in the brain in TLE indicates a slowed synthesis of ATP by astrocytes with an impaired uptake of extracellular glutamate by these cells.

Another possibility is that the downregulation of MCT2 on perivascular endfeet is adaptive changes that prevent loss of locally produced lactate to the blood, thereby increasing the seizure threshold via one of several possible mechanisms. Firstly, the lactate metabolite, pyruvate, inhibits vesicular glutamate uptake with an affinity comparable to that of acetoacetate (Juge et al. 2010, supplemental information). Secondly, lactate interacts with the G-protein coupled receptor, GPR81 (HCA1), to lower cAMP (Offermanns et al. 2011). As β-adrenergic receptors elevate cAMP levels, elevated lactate would therefore be expected to mimic the known anticonvulsive effect of β-adrenoceptor blockers (De Sarro et al. 2002; Luchowska et al. 2002). An analogous mechanism may contribute to the antiepileptic effect of ketone bodies through the HCA2 receptor, which binds β-hydroxybutyrate (Offermanns et al. 2011). Finally, increased levels of extracellular lactate may also have an inhibitory effect on neuronal excitability due to acidification of the extracellular compartment at the site of seizure activity (During et al. 1994), which can inhibit receptor activity, including NMDA receptors.

Increased MCT2 on astrocyte processes in neuropil

The upregulation of MCT2 on astrocyte profiles in the neuropil in the hippocampal formation in TLE may represent a compensatory response to the increased extracellular lactate in epileptogenic brain areas. Such upregulation could facilitate the influx of lactate from areas of high concentrations in the extracellular space to the astrocyte compartment. Once taken up by the astrocyte compartment, lactate may diffuse throughout the astrocyte syncytium to areas of low lactate concentrations (Dienel and Cruz 2003; Rouach et al. 2008). Because MCT2 is rapidly saturated, an upregulation of the transporter on astrocyte membranes in the neuropil might be a response to the increased lactate buffering demands.

Astrocytes play an important role in the brain energy metabolism. According to astrocyte-neuron lactate shuttle hypothesis, glutamate released from nerve terminals stimulates metabolism of glucose in astrocytes via activation of Na+/K+-ATPases on astrocyte membranes (Pellerin and Magistretti 1994). Astroctyes then release lactate metabolized from glucose to the extracellular space which can be taken up an oxidized by neurons. The increased levels of MCT2 on astrocyte membranes in the neuropil might be a compensatory mechanism to buffer the increased levels of lactate and protons that accumulates in the astrocyte cytosol following a high glycolytic rate mediated by seizing neurons.

MCT2 expression and species differences

Different cellular localizations of MCT2 have been reported in different species. In the rodent brain, MCT2 protein has been detected on neurons (Debernardi et al. 2003; Pierre et al. 2002; Pierre et al. 2000), more specifically on post-synaptic densities (Bergersen et al. 2001; Bergersen et al. 2005), and on perivascular astrocyte endfeet (Gerhart et al. 1998; Hanu et al. 2000). Little is known about the MCT2 expression in the human brain. Price and colleagues (1998) detected only small amounts of MCT2 mRNA levels in human brain tissues. In contrast, Chiry and colleagues (Chiry et al. 2008) reported a strong and widespread expression of MCT2 mainly on neurons but also on astrocytes in the cerebral cortex from non-epilepsy controls. We were unable to detect MCT2 on neurons in CA1 of the hippocampal formation in TLE patients. The discrepancies between studies may be related to species differences and to methodological issues and the use of antibodies from different sources.

ACKNOWLEDGMENTS

We thank Ms. Ilona Kovacs, Ms. Bjørg Riber and Ms. Karen Marie Gujord for excellent technical assistance; Dr. Max Larsson for developing the software used to quantify the immunogold labeling; Ms. Jennifer Bonito for managing the epilepsy patient database and Drs. Jullie Pan and Jon Storm-Mathisen for helpful discussions. This work was supported by grants from the Medical Faculty of the University of Oslo (to F.L.), the Research Council of Norway (to F.L. and L.H.B.), the National Institutes of Health (NS058674 and NS070824 to T.E.), and the Swebelius Trust (to D.D.S.). Part of this work was also made possible by CTSA Grant Number UL1 RR024139 from the National Center for Advancing Translational Sciences (NCATS), a component of the National Institutes of Health (NIH), and NIH roadmap for Medical Research. The contents of the publication are solely the responsibility of the authors and do not necessarily represent the official view of NCATS or NIH.

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