Abstract
The glial glutamate transporter EAAT2 is the major mediator of glutamate clearance that terminates glutamate-mediated neurotransmission. Loss of EAAT2 and associated glutamate uptake function has been reported in the brains of patients with Alzheimer’s disease (AD). We previously reported that EAAT2 is associated with lipid raft microdomains of the plasma membrane. In the present study, we demonstrated that association of EAAT2 with lipid rafts is disrupted in AD brains. This abnormality is not a consequence of neuron degeneration, oxidative stress, or amyloid beta toxicity. In AD brains, cholesterol 24S-hydroxylase (CYP46), a key enzyme in maintenance of cholesterol homeostasis in the brain, is markedly increased in astrocytes but decreased in neurons. We demonstrated that increased expression of CYP46 in primary astrocytes results in a reduction of membrane cholesterol levels and leads to the dissociation of EAAT2 from lipid rafts and the loss of EAAT2 and associated glutamate uptake function. These results suggest that a disturbance of cholesterol metabolism may contribute to loss of EAAT2 in AD.
Keywords: glutamate transporter EAAT2, lipid raft microdomain, Alzheimer’s disease, cholesterol 24S-hydroxylase, excitotoxicity
Introduction
A consensus definition of lipid rafts emerging from the Keystone Symposium of Lipid Rafts is: "Membrane rafts are small (10–200 nm), heterogeneous, highly dynamic, sterol- and sphingolipid-enriched domains that compartmentalize cellular processes. Small rafts can sometimes be stabilized to form larger platforms through protein-protein and protein-lipid interactions" (Pike 2006). Several kinds of neurotransmitter transporters have been reported to be localized in lipid rafts including γ-aminobutyric acid (GABA) transporter, 5- hydroxytryptamine (5-HT) transporter and glutamate transporters (Allen et al. 2007).
Excitatory amino acid transporter 2 (EAAT2) is the major glutamate transporter in the central nervous system. We previously reported that a large portion of total EAAT2 protein is associated with cholesterol-rich lipid raft microdomains of the plasma membrane. This association with lipid rafts is important for EAAT2 trafficking and function (Butchbach et al. 2004). In this report, we showed that depletion of membrane cholesterol by methyl-β-cyclodextrin resulted in a significant reduction of EAAT2 glutamate uptake activity. Cell surface biotinylation and immunostaining experiments revealed that the loss of cholesterol significantly altered the trafficking of EAAT2 to the plasma membrane as well as their membrane distribution, resulting in loss of EAAT2 protein (Butchbach et al. 2004). Similar observations were also reported by other groups (Zschocke et al. 2005).
Alzheimer’s disease (AD), the most common form of dementia for the older population, is characterized by progressive cognitive deterioration in accordance with declining activities of daily living. Cholesterol metabolism has been proven to be an important element in AD risk and pathogenesis. A cluster of cholesterol-related genes have been reported to be associated with AD. Cholesterol 24S-hydroxylase (CYP46) mediates the conversion of cholesterol to 24S-hydroxycholesterol, which is a mechanism of the elimination of excess cholesterol and maintenance of cholesterol homeostasis in the brain (Bjorkhem et al. 1997, Lutjohann et al. 1996). It has been shown that the level of 24S-hydroxycholesterol is significantly increased in the serum and cerebrospinal fluid (CSF) of AD patients at the early stage of the disease (Lutjohann et al. 2000, Papassotiropoulos et al. 2002). In AD brains, CYP46 is markedly increased in astrocytes but decreased in neurons (Bogdanovic et al. 2001). These results suggest that more cholesterol is converted to 24S-hydoxycholesterol in AD brains. Furthermore, a recent study shows that the presence of the "T" allele in the polymorphic site rs754203 of the CYP46 gene increases the risk of suffering from late-onset AD in person carrying the Apoε3 allele (Fernandez Del Pozo et al. 2006).
Several reports have demonstrated, through measurements of glutamate uptake and sodium-dependent glutamate binding, that the high affinity glutamate uptake system is impaired in AD brains (Cross et al. 1987, Hardy et al. 1987, Cowburn et al. 1988, Procter et al. 1988, Simpson et al. 1988, Chalmers et al. 1990, Scott et al. 1995, Masliah et al. 1996, Li et al. 1997). A malfunction in the glutamate uptake system can lead to the accumulation of excessive glutamate in the synapse, which is harmful to neurons. It has been shown that decreased glutamate transport activity is associated with decreased EAAT2 protein expression, but EAAT2 mRNA level is not affected (Li et al. 1997), suggesting that alterations in EAAT2 expression occur due to disturbances at the post-transcriptional level. Furthermore, Jacob et al. (2007) recently also reported marked impairment in the expression of EAAT2 at both gene and protein levels in AD brains (Jacob et al. 2007). Controversially, there are a few studies demonstrating no clear change in glutamate uptake and EAAT2 protein level in AD brains (McGeer et al. 1987, Rothstein et al. 1992, Rothstein et al. 1995, Beckstrom et al. 1999).
It has been reported that the organization of lipid rafts is disrupted in AD brains and this disruption is probably due to membrane cholesterol reduction (Ledesma et al. 2003). In the present study, we investigated whether association of EAAT2 with lipid raft microdomains is disrupted in AD brains. We found that the amount of EAAT2 associated with lipid rafts in AD brains was less than half of that in normal brains. We then investigated the cause of this abnormality and discovered that increased expression of CYP46 could result in dissociation of EAAT2 from lipid raft microdomains, which consequently caused loss of EAAT2 protein and associated glutamate uptake function.
Materials and methods
Post-mortem tissue
Frozen post-mortem brain tissues were provided by Harvard Brain Tissue Resource Center, Johns Hopkins Alzheimer’s Disease Research Center Brain Bank, and University of Maryland Brain and Tissue Banks for Developmental Disorders. The CERAD (Consortium to Establish a Registry for Alzheimer’s Disease) criteria were used for diagnostic categorization of AD (Mirra et al. 1991). AD brain tissues were obtained from AD patients in the moderate or severe stages of Alzheimer’s. No other significant gross or microscopic abnormalities were present in these AD brains. Control brain tissues were obtained from subjects who had no history of dementia and no evidence of significant neuropathological changes. The causes of death for these control subjects include arteriosclerotic cardiovascular disease, congenital heart disease, asthma, and renal failure. Specimens from Brodmann areas 9 and 10 in the frontal cortex were studied. Tissues were frozen using isopentane/dry ice and then stored at −80°C until use.
For the immunohistochemical study, the formalin-fixed, paraffin-embedded tissues were provided by Ohio State Brain Bank. AD brain tissues were obtained from AD patients in the severe stages of Alzheimer’s. Control brain tissues were obtained from patients having pathology outside the CNS. The causes of death include heart failure, respiratory failure, renal failure, liver failure, and malignancy. The patient information for these post-mortem brain tissues is shown in supplementary Table 1.
Lipid raft microdomain preparation
The cholesterol-rich lipid raft microdomains were isolated as described previously with minor revision based on different samples (Butchbach et al. 2004). At the beginning of this study, we compared total membranes and plasma membranes for lipid raft preparation and did not observe any difference. We therefore used total membranes for the entire study. For post-mortem tissues, 100–200 mg frozen tissues were homogenized in 10 volumes of buffer A (150 mM NaCl, complete protease inhibitor cocktail (Roche Applied Science, Indianapolis, IN, USA), 100 µM phenylmethylsulfonyl fluoride (Sigma, St. Louis, MO, USA), in 25 mM MES, pH 6.5) using a Dounce homogenizer (30 passes with a type B pestle) followed by a 22-gauge needle (5 passes). The homogenates were centrifuged at 1,000 ×g for 10 min at 4°C, and the supernatants were diluted to 3 mg/ml protein and then incubated with 1% (v/v) Brij-58 (Sigma, St. Louis, MO, USA) for 60 min at 4°C, after which equal volume of 80% (w/v) sucrose was added to the samples to give a final concentration of 40% (w/v). 1 ml of each sample was overlaid with 1.8 ml of 30% (w/v) sucrose followed by 1.2 ml of 5% (w/v) sucrose and centrifuged for 16 hrs at 175,587 ×g at 4 °C using a SW60 rotor and a L8-M ultracentrifuge. Ten 400-µl fractions were taken from each sample.
For primary astrocyte and primary cortical culture, cells were scraped off in 1× PBS and centrifuged for 10 min at 1,000 ×g at 4°C. The pellets were sonicated in buffer A and then diluted to 3 mg/ml protein and incubated with 1% (v/v) Brij-58 for 60 min at 4°C. The homogenates were centrifuged at 1, 000 ×g for 10 min at 4°C, and supernatants were added with equal volume of 80% (w/v) sucrose. 1 ml of each sample was overlaid with 1.8 ml of 30% (w/v) sucrose followed by 1.2 ml of 5% (w/v) sucrose and centrifuged for 16 hrs at 175,587 ×g at 4 °C.
Immunoblot analysis
Immunoblotting was performed as described previously (Guo et al. 2002). In brief, the harvested samples were sonicated in 1× PBS containing complete protease inhibitor cocktail, assayed for protein concentration, resolved by SDS-PAGE (8% PA) and transferred onto PVDF membranes. The following primary antibodies were used: rabbit polyclonal antibodies (1:4000) against the C-terminus of human EAAT2 (position 553–568), rabbit anti-CYP46 polyclonal antibodies (1:400; Invitrogen), rabbit anti-caveolin polyclonal antibodies (1:1000; Santa Cruz, CA, USA), mouse anti-flotillin monoclonal antibodies (1:500, B&D Laboratory, NJ, USA), and goat anti-actin polyclonal antibodies (1:2000; Santa Cruz Biotechnology, CA, USA). The immunoreactive bands were detected using the SuperSignal West Pico Chemiluminescent Substrate (Pierce Biotechnology, Rockford, IL, USA) according to manufacturer’s directions. Band intensities were analyzed with ImageJ software.
For the analysis of EAAT2 distribution in the lipid raft fractions (Figs. 1C, 2C, 4B, and supplementary Figs. 1C, 2C, 3D), each Western blot was analyzed separately. For each Western blot, we determined "% of EAAT2 in the lipid raft fractions" by dividing the sum of EAAT2 signal intensities from fractions 3, 4, and 5 by the sum of total EAAT2 signal intensities (fractions 1 to 10). For Figs. 2A, 3C, and supplementary Figs. 1A, 2A, 3B, each study was repeated 3–4 times. All samples for each study were run on one Western blot. The mean of the signal intensities of all control samples was used to determine the value of "% of control".
Cell cultures
Mouse primary cortical cultures were obtained as described previously (Guo et al. 2003). In brief, cortices were dissected out of the newborn (P0–P1) brains and incubated in activated papain for 30 min at 37°C, triturated by repeated pipetting with a small bore pipette and plated onto poly-D-lysine (0.1 mg/ml; Sigma, St. Louis, MO, USA)-coated plastic culture dishes or glass slides. These cultures were maintained in Dulbecco’s modified Eagle media (DMEM, Invitrogen, Carlsbad, CA, USA) containing 25 mM glucose, 1 mM sodium pyruvate, 19.4 µM pyridoxine hydrochloride, 2 mM glutamine and 1% B-27 supplement (Invitrogen, Carlsbad, CA, USA).
Rat primary astrocyte cultures were obtained from Dr. Richard W. Burry (Department of Neuroscience, The Ohio State University). The cells were maintained in DMEM with 10% fetal bovine serum (FBS; Invitrogen, Carlsbad, CA, USA).
Aβ1–42 treatment
Lyophilized and HPLC-purified amyloid beta peptide (Aβ1–42) was purchased from AnaSpec, Inc. (San Jose, CA, USA) and prepared following the manufacturer's instructions. In brief, 3 mM Aβ1–42 stock solutions were prepared in 1% NH4OH as stock solution. It was then diluted with PBS and incubated at 37°C for 72 hrs to generate aggregated amyloid. Aβ1–42 oligomers at a final concentration of 1 µM were applied in all experiments.
Animal models
All animal experiments were performed at Ohio State University under national and institutional guidelines using protocols approved by the the Animal Care & Use Committee of Ohio State University. Human SOD1G93A transgenic mice (B6SJL-Tg [SOD1-G93A] 1Gur with high copy number of the mutant human SOD1 gene) were purchased from Jackson Laboratory (Bar Harbor, ME, USA). Adult same gender mice were housed 5 per cage, under 12 hr dark/light cycles. APPSw,Ind transgenic mice were obtained from the laboratory of Dr. Lennart Mucke of the J. David Gladstone Institutes of San Francisco, CA. Transgene was determined by PCR using genomic DNA extracted from tail biopsies.
Mouse CYP46 cDNA cloning
Mouse brain total RNA was isolated with TRIzol (Invitrogen, Carlsbad, CA, USA) and first-strand cDNA was synthesized with Thermoscript reverse transcriptase (Invitrogen, Carlsbad, CA, USA) using an CYP46-specific primer (5′-TCCAAGGAGTCTGACCTTACCCA-3′). Primer set (5′-TCCAAGGAGTCTGACCTTACCCA-3′ and 5′-AGCTAGTCGGTCGCAGCCTC-3′) was used for PCR reaction and PCR product was cloned into pPCR-ScriptAmpSK(+) (Stratagene, La Jolla, CA, USA) and then subcloned into pcDNA3 with EcoR I and Not I to generate pcDNA3-CYP46.
To generate pcDNA4-CYP46, PCR primer set (5′-GAATTCTGCCGACCACGAGCCATGAGC-3′ and 5′-AGTCTGACCTTACCCAGGGCTCA-3′) was employed to amplify CYP46 using pcDNA3-CYP46 as template, and the PCR product was cloned into pPCR-ScriptAmpSK(+) and then subcloned into pcDNA4 with EcoR I.
Generation of stably transfected primary astrocyte cell lines
The generation of a primary astrocyte line stably expresses EAAT2 was described previously (Tian et al. 2007). In brief, low passage (4 passages) rat primary astrocytes were transfected with pcDNA3/EAAT2 and the medium was replaced with fresh medium containing geneticin (0.9 mg/ml) 48 hrs post-transfection to select for EAAT2-expressing cells. Selected colonies were examined for EAAT2 expression by RT-PCR using EAAT2 specific primers and also by immunoblotting using rabbit anti-EAAT2 polyclonal antibodies. This cell line was named as PA-EAAT2.
To generate a primary astrocyte cell line stably expressing both EAAT2 and CYP46, low passage PA-EAAT2 cells were plated onto cell culture dishes and transfected with pcDNA4/CYP46 using Expression Fect (ISC BioExpress, Kaysville, UT, USA) according to standard protocol. The medium was replaced with fresh medium containing Zerocin (400 mg/ml) 48 hrs post-transfection to select for CYP46-expressing cells. Selection medium was replaced every 3 days until colonies formed (18–21 days later). Colonies were examined for CYP46 expression by RT-PCR using CYP46 specific primers. This cell line was named as PA-EAAT2-CYP.
Quantitative RT-PCR
Total RNA from primary astrocytes or primary cortical cultures was isolated with TRIzol (Invitrogen, Carlsbad, CA, USA) and first-strand cDNA was synthesized with M-MLV reverse transcriptase (Invitrogen, Carlsbad, CA, USA) using a mouse CYP46-specific primer (5′-GAATTCTGCCGACCACGAGCCATGAGC-3′) and an EAAT2 specific primer (5′-ACGCTGGGGAGTTTATTCAAGAAT-3′). β-actin was used as an internal control (primer: 5′-TGTCAAAGAAAGGGTGTAAAACGCAGC-3′). PCR primers (5′-TCCTGCATCGGCCAACAGTTTGCTCAG-3′ and 5′-GAATTCTGCCGACCACGAGCCATGAGC-3′) were used for CYP46 cDNA, PCR primers (5′-GGCAACTGGGGATGTACA-3′ and 5′-ACGCTGGGGAGTTTATTCAAGAAT-3′) were used for EAAT2 cDNA and primers (5′-CGGGACCTGACAGACTACCTCAT-3′ and 5′-TGTCAAAGAAAGGGTGTAAAACGCAGC-3′) were used for actin cDNA. PCR condition were as follows: 95°C for 3 min, 85°C for 2 min; 95°C for 30 sec, 60°C for 30 sec, 72°C for 1 min for 30 cycles followed by 10 min extension at 72°C. Quantitative PCR analysis was done by running various numbers of PCR cycles and serial dilutions of RT product.
We also confirmed the results by real-time PCR. Real-time PCR was performed using SYBR GREEN PCR Master Mix (Applied Biosystems, Foster City, CA). PCR primers (5′-TAACTCTGGCGGCCAATGGAAAGT-3′ and 5′-ACGCTGGGGAGTTTATTCAAGAAT-3′) were used for EAAT2 cDNA and primers (5′-TGGATCAGCAAGCAGGAGTACGA-3′ and 5′-TGTCAAAGAAAGGGTGTAAAACGCAGC-3′) were used for actin cDNA. PCR conditions were as follows: 95°C for 10 min; 95°C for 15 sec, 60°C for 1 min for 40 cycles.
[3H]glutamate uptake assay
Uptake of radiolabeled glutamate was monitored in cultured cells as described previously with minor change (Tian et al. 2007). In brief, cultured cells grown on 24-well plates were washed with uptake sample buffer (320 mM sucrose in 50 mM TrisHCl, pH 7.4) and then incubated for 10 min at 37°C with L-[3H]glutamate (0.1 µCi; Amersham Biosciences, Piscataway, NJ, USA) in either Na+-containing or Na+-free Kreb’s buffer supplemented with unlabelled glutamate to achieve final concentration of 2–200 µM. The cells were washed with ice-cold 1× PBS and lysed in 1 mM NaOH. The amount of radiolabeled glutamate was measured using a Beckman Coulter LS6500 Multi-Purpose Scintillation Counter (Beckman Coulter, Fullerton, CA, USA). Na+-dependent L-[3H]glutamate uptake was calculated by subtracting Na+-independent L-[3H]glutamate uptake (in Na+-free Kreb’s buffer) from the total L-[3H]glutamate uptake (in Na+-containing Kreb’s buffer).
Cholesterol assay
Cells were lysed in reaction buffer (5 mM cholic acid, 0.1% Triton X-100 in PBS, pH 7.4) for 30 min at 4°C and then sonicated. Membrane cholesterol was measured using the Amplex Red Cholesterol Assay kit (Invitrogen, Carlsbad, CA, USA) according to manufacturer’s directions except that cholesterol esterase was omitted from the reaction mixture. Fluorescence was measured with a GENios microplate reader (Tecan Company; λex=545 nm, λem=610 nm). The protein concentrations of the samples were determined using Coomassie Plus Protein Assay according to manufacturer’s directions. Membrane cholesterol levels were expressed as specific fluorescence/mg protein.
Transfection
Primary astrocyte cells were plated on six-well plates at a density of 1 × 106 cells per well and allowed to adhere overnight. For each well, 1 µg of plasmid DNA (pcDNA3-EGFP and pcDNA3-CYP46) and 2 µl Expression Fect (ISC BioExpress, Kaysville, UT, USA) were diluted into 100 µl of DMEM respectively, and then Expression Fect solution was added into DNA solution. The mixture was incubated at room temperature for 20 min and was added to 2 ml serum-containing medium in each well. The transfected cells were harvested for analysis after incubation at 37°C for 72 hrs. For primary cortical culture, the transfection was done on day 7 using the same procedure described above.
Immunohistochemistry
Paraffin-embedded sections were cut at 10 µm for immunofluorescent staining. Sections were deparaffinized in xylene (5 min, 3×) and rehydrated through alcohols to water (100% ethanol for 3 min (2×), 95% ethanol for 1 min (1×), 75% ethanol for 3 min (1×)). High temperature antigen retrieval was performed in a 90°C water bath using 2.5% citric acid (pH 6.0) for 30 min. Nonspecific sites were blocked using blocking solution (10% normal goat serum/0.5% BSA in PBST (0.025% Triton X-100 in PBS)) for 1 hr at room temperature followed by addition of the primary antibodies and incubation for overnight at 4°C. The following antibodies were used: rabbit anti-GFAP polyclonal antibodies (1:1000, Promega, Madison, WI, USA), mouse anti-CYP monoclonal antibodies (Neat hybridoma culture supernatants supplemented with Triton X-100 to 0.025%; Ramirez et al. 2008)), rabbit anti-CYP46 polyclonal antibodies (1:200; Invitrogen), rabbit anti-EAAT2 polyclonal antibodies (1:200). After rinsing with PBST (10 min, 3×), the slides were then incubated with secondary antibody solution (Alexa Fluor 488 goat anti-rabbit IgG (1:1000), Alexa Fluor 594 goat anti-mouse IgG (1:1000), or Hoechst 33342 in blocking solution) at room temperature for 1 hr. The slides were then rinsed with PBST (10 min, 3×) and mount with immumount. The images were obtained from an Axioskop 2 (Carl Zeiss) inverted microscopy and the signal intensities were analyzed with ImageJ software.
Statistical analysis
The quantitative data in this study were expressed as the mean ± SEM. For Figs. 1C, 2C, 4B and supplementary Figs. 1C, 2C, 3D, Wilcoxon rank-sum test was used to determine the significance of difference. For Fig. 5B, a linear mixed effects model was constructed with a random effect that was used to adjust for the within-subject correlation in the repeated measures for each subject. Student’s t-test was performed for the rest of data when the normality assumption was found to be reasonable.
Results
The association of EAAT2 with lipid rafts is partially disrupted in AD frontal cortices
The frontal cortex of AD brains (n=11) and age-matched normal brains (n=6) were used in this study. The total EAAT2 protein levels in theses AD tissues were significantly lower than that in the normal tissues (Fig. 1A). These results were consistent with previous reports (Li et al. 1997). We investigated whether EAAT2 proteins are properly associated with lipid raft microdomains of the plasma membrane in AD brains. Tissues were homogenized, solubilized with 1% Brij-58 and fractionated through a discontinuous sucrose gradient. The detergent-resistant microdomains (lipid rafts) and their associated proteins migrated to the upper, low density region of the gradient, while the detergent-soluble materials (non-lipid rafts) remained in the lower, high density fractions. The fractions were collected from the top of the gradient (fraction 1–11). Flotillin-1, which is known to be associated with lipid raft, was localized to fractions 3–5, indicating that these fractions contained lipid raft microdomains. For normal brain samples, a large portion of total EAAT2 protein was detected in lipid raft fractions (fraction 3–5); however, for AD brain samples, less EAAT2 protein was localized in lipid raft fractions and more EAAT2 protein was detected in non-lipid raft fractions (fraction 8–10) (Fig. 1B). Statistical analysis revealed a significant decrease in the association of EAAT2 protein with lipid raft microdomains in AD frontal cortices (35.4±9.6% of total EAAT2 protein) compared to normal controls (74.2±4.7% of total EAAT2 protein) (Fig. 1C). The post-mortem interval did not affect the amount of EAAT2 protein associated with lipid raft microdomains (Fig. 1D). However, several lipid raft associated proteins, including flotillin-1, caveolin and prion protein (PrP), were primarily localized in lipid raft fractions in AD samples, similarly seen in normal control samples (Fig. 1B). These results indicated that the association of EAAT2 with lipid rafts is specifically disrupted in AD frontal cortices.
Neuronal death is not the cause of dissociation of EAAT2 from lipid raft microdomains
What could be the cause of dissociation of EAAT2 from lipid raft microdomains in AD brains? We investigated whether dissociation of EAAT2 from lipid raft microdomains is the consequence of neuron degeneration. Transgenic mice expressing familial amyotrophic lateral sclerosis (ALS)-linked mutant copper-zinc superoxide dismutase (SOD1G93A) develop similar clinical and pathological phenotypes as seen in ALS patients. These mice begin to lose motor neurons at about 90 days of age and eventually die at about 120–140 days of age. The EAAT2 protein levels decreased as disease progresses. At 120 days of age, there was a 60–80% loss of EAAT2 protein in the lumbar spinal cords (supplementary Fig. 1A). We performed lipid raft preparation in the lumbar spinal cords of 120 day-old SOD1G93A transgenic mice in which majority of motor neurons were degenerated. The lumbar spinal cords of non-transgenic littermates were the controls. The results showed that the distribution of EAAT2 in lipid raft and non-lipid raft fractions were similar between SOD1G93A transgenic and non-transgenic samples (supplementary Fig. 1B). A majority of total EAAT2 protein (~80%) was enriched in lipid rafts and only a small portion of EAAT2 (~20%) was localized in non-lipid raft fractions (supplementary Fig. 1C). These results indicated that neuronal death is not the cause of dissociation of EAAT2 from lipid raft microdomains.
Oxidative stress and amyloid β peptide do not affect the association of EAAT2 with lipid rafts
We investigated whether oxidative stress could cause dissociation of EAAT2 from lipid raft microdomains. Mouse primary cortical neurons and astrocytes mixed cultures prepared from neonatal (P0–P1) wild-type mouse pups were used in this study. The cultures contained ~50% neurons and ~50% astrocytes including type II astrocytes, which express EAAT2. The cultures were treated with 50 µM H2O2 in DMEM for 30 minutes, which caused significant oxidative damage (Shan et al. 2007), and then harvested at 4 hours post-treatment for lipid raft preparation. The results showed that there was no significant difference in the distribution of EAAT2 in lipid raft and non-lipid raft fractions between H2O2-treated and non-treated cells (supplementary Fig. 2B&C), suggesting that oxidative stress induced by H2O2 does not affect the association of EAAT2 with lipid rafts.
We further investigated whether amyloid β peptide (Aβ) could cause EAAT2 dissociated from lipid raft microdomains. The primary cortical neurons and astrocytes mixed cultures were treated with 1 µM of Aβ1–42 in DMEM for 48 hours, which caused significant cytotoxicity (Shan et al. 2007). The cultures were then harvested for lipid raft preparation. The results showed that the amounts of EAAT2 associated with lipid rafts microdomains were similar between Aβ1–42-treated and non-treated cells (supplementary Fig. 2B&C), suggesting that Aβ may not affect the association of EAAT2 with lipid rafts.
Furthermore, we examined whether abnormal APP process could affect association of EAAT2 with lipid raft microdomains. APPSw,Ind transgenic mice, which express human APP bearing both the Indiana (V717F) and the Swedish (K670N/M671L) mutations (Mucke et al. 2000), were used in this study. These mice exhibit onset of Aβ plaques, loss of synaptic density, and loss of memory beginning from the age of 6–8 months. The intracellular Aβ load is detectable at the age of 3 months (Galvan et al. 2006). The mice begin to lose EAAT2 protein at ~4–5 months of age and EAAT2 protein levels gradually decrease as disease progresses (Fig. 2A shows the results of 9-month-old samples). We performed lipid raft preparation on the forebrains of different ages of APPSw,Ind transgenic mice, including 3-, 6- and 9-month-old. The forebrains of non-transgenic littermates were the controls. There was no significant difference in EAAT2 distribution between APPSw,Ind transgenic and non-transgenic samples (Fig. 2B&C shows the results of 9-month-old samples). These results indicated that abnormal APP process and amyloid deposition do not induce dissociation of EAAT2 from lipid rafts.
Up-regulation of CYP46 causes dissociation of EAAT2 from lipid raft microdomains and decrease of EAAT2 protein level and glutamate uptake
Cholesterol 24S-hydroxylase (CYP46) is a key enzyme in maintenance of cholesterol homeostasis in the brain. It has been reported that in AD brains, CYP46 is increased in astrocytes but decreased in neurons (Bogdanovic et al. 2001). We tested whether up-regulation of CYP46 could cause dissociation of EAAT2 from lipid raft microdomains. We first cloned mouse CYP46 cDNA and established two primary astrocyte cell lines: one cell line stably expressing EAAT2 (named as PA-EAAT2) and the other cell line expressing both EAAT2 and CYP46 (named as PA-EAAT2-CYP). Quantitative RT-PCR analysis revealed that PA-EAAT2-CYP cells expressed greater amounts of CYP46 mRNA than that of PA-EAAT2 cells (Fig. 3A), but both cell lines expressed similar amounts of EAAT2 mRNA (Fig. 3B). Interestingly, PA-EAAT2-CYP cells expressed significantly smaller amounts of EAAT2 protein (~40–50% fewer) than that of PA-EAAT2 cells (Fig. 3C). Consistently, [3H]glutamate uptake activity in PA-EAAT2-CYP cells was significantly decreased when compared to that in PA-EAAT2 cells (Fig. 3D). Increased CYP46 expression caused a decrease in uptake Vmax and an increase in the apparent glutamate Km.
We then examined EAAT2 lipid raft microdomain localization in these cell lines. The results showed that the amount of EAAT2 associated with lipid raft microdomain in PA-EAAT2-CYP cells (~50%) was significantly reduced compared to that in PA-EAAT2 cells (~80%) (Fig. 4A&B). However, the amount of flotillin-1 associated with lipid raft microdomain was similar between these two cell lines. Total cholesterol levels (Fig. 4C) as well as membrane cholesterol levels (Fig. 4D) were significantly decreased in PA-EAAT2-CYP cells when compared with that in PA-EAAT2 cells. These results suggest that increased CYP46 can cause reduction of membrane cholesterol levels, which consequently results in dissociation of EAAT2 from lipid raft microdomains and leads to a decrease in EAAT2 protein levels and associated glutamate uptake functions.
To further confirm the above results, we transfected pcDNA3-CYP46 cDNA into primary cortical neuron and astrocyte mixed cultures and pcDNA3-GFP cDNA was used as a control. The transfected cultures were harvested for RT-PCR, immunoblot and lipid raft analyses at 72 hours post-transfection. The cultures transfected with pcDNA3-CYP46 cDNA expressed higher level of CYP46 mRNA than the cultures transfected with pcDNA3-GFP cDNA, indicating that the exogenous CYP46 cDNA was properly expressed (supplementary Fig. 3A). Importantly, we observed that total EAAT2 protein levels in the cultures transfected with pcDNA3-CYP46 cDNA was much lower (~40–50%) than that in the cultures transfected with pcDNA3-GFP cDNA (supplementary Fig. 3B), but EAAT2 mRNA levels were similar (supplementary Fig. 3A). Moreover, about 20–30% of EAAT2 protein was shifted from the lipid raft fractions to the non-lipid raft fractions in the cultures transfected with pcDNA3-CYP46 cDNA, compared with the cultures transfected with pcDNA3-GFP cDNA (supplementary Fig. 3C&D). There was no obvious change for the flotillin distribution (supplementary Fig. 3C).
We further examined the relationship between CYP46 and EAAT2 in AD frontal cortices by immunohistochemistry. Consistent with previous report (Bogdanovic et al. 2001), we observed a significant increase in CYP46 immunoreactivity in the GFAP-positive astrocytes of AD frontal cortices when compared with normal controls (Fig. 5A&B). The results were confirmed by using two different sources of anti-CYP46 antibodies. Importantly, we observed that the increase of CYP46 immunoreactivity is concomitant with a focal loss of EAAT2 immunoreactivity in AD frontal cortices (Fig. 5C).
Taken together, the above results suggest that increased expression of CYP46 may be one of factors that causes dissociation of EAAT2 from lipid raft microdomains and loss of EAAT2 protein and associated glutamate uptake function in AD brains.
Discussion
In the present study, we demonstrated that the association of EAAT2 with lipid rafts is disrupted in AD frontal cortices. This abnormality may not be a consequence of neuron degeneration, oxidative stress, or amyloid beta toxicity. It may be partially due to up-regulation of CYP46. We determined that increased expression of CYP46 in primary astrocytes causes the reduction of membrane cholesterol levels and leads to EAAT2 dissociated from lipid rafts, which results in loss of EAAT2 protein and associated glutamate uptake function. Our data suggest that disturbance of cholesterol metabolism may contribute to loss of EAAT2 in AD.
The AD frontal cortex tissues used in this study had a 30–40% loss of EAAT2 (Fig. 1A). This result is consistent with two previous studies (Li et al. 1997, Jacob et al. 2007) but disagrees with other studies (Rothstein et al. 1992, Rothstein et al. 1995, Beckstrom et al. 1999). The loss of EAAT2 in AD tissues is not due to the postmortem delay because the normal control tissues have a similar, even slightly longer, postmortem delay (see supplementary Table 1). The anti-EAAT2 antibody used in this study is similar to that used in the studies of Rothstein et al. We think the controversy is potentially due to sample preparation and data analysis. EAAT2-positive astrocytes are not evenly distributed in the frontal cortex; even within the white matter, the density of EAAT2-positive astrocytes is variant in different regions. Therefore, we collected and combined different regions of the frontal cortex for analysis. In addition, it is critical to normalize the data to an astrocyte marker. However, it is difficult to find an appropriate astrocyte marker for this analysis because the expression levels of commonly used astrocyte markers, GFAP and glutamine synthetase, are changed in AD brains (Robinson 2001). We used glutamine synthetase to normalize EAAT2 protein levels because of the following reasons. We observed a slight, not marked, decrease of glutamine synthetase in some AD samples. If the results still show a decrease in EAAT2 protein levels in AD samples after normalizing to glutamine synthetase, it indicates that EAAT2 protein is indeed decreased in AD tissues. We also normalized EAAT2 protein levels to actin and the results indicated a loss of EAAT2 protein in AD samples. In addition, our immunohistochemical analysis also showed a loss of EAAT2 in AD frontal cortices (Fig. 5C).
EAAT2 proteins are normally associated with Brij58-resistant cholesterol-enriched microdomains of the plasma membrane, and this association is important for EAAT2 trafficking and function (Butchbach et al. 2004). In this study, we observed a significant decrease in the association of EAAT2 protein with Brij58-resistant lipid rafts in AD frontal cortex tissues (~40–50% decrease) when compared with age-matched normal controls (Fig. 1B&C). This abnormality is not due to the effects of post-mortem intervals (Fig. 1D). Whether agonal state of disease causes this abnormality is unknown. We examined cerebellum tissues (unaffected area) in the same AD patients and did not find any abnormality (data not shown); however, the cerebellum may not be an ideal control for "agonal state". The spared cortical area may be more suitable but is not available from brain banks.
Several lipid raft associated proteins, such as flotillin-1, were still associated with Brij58-resistant lipid rafts (Fig 1B). Why is EAAT2 affected but not other proteins? We previously demonstrated that EAAT2-associated lipid raft microdomains are soluble in Triton X-100 but insoluble in more hydrophilic nonionic detergents such as Brij58 and Lubrol WX (Butchbach et al. 2004). However, flotillin-1-associated lipid raft microdomains are insoluble in Triton X-100. This indicates that flotillin-1-associated lipid raft microdomains contain more cholesterol, which makes them resistant to Triton X-100 (a less hydrophilic nonionic detergent), but EAAT2-associated lipid raft microdomains contain relatively less cholesterol so they are only resistant to Brij58 (a more hydrophilic nonionic detergent). When the membrane cholesterol level is reduced, EAAT2-associated lipid raft microdomains are disrupted while flotillin-1-associated lipid raft microdomains are still resistant to Brij58.
It has been reported that plasmin, a serine protease which can degrade amyloid peptide, is dissociated from lipid rafts in AD brains, due to a significant reduction in plasma membrane cholesterol level (Ledesma et al. 2003). The authors demonstrated that lipid raft microdomains are anomalous in AD, which is reflected by lower levels of several lipid raft associated proteins, including the flotillin-1, the ganglioside GM1 and the urokinase-type plasminogen activator receptor (uPAR), localized in lipid raft fractions. It is possible that in AD brains, the lipid rafts are no longer efficient as a mean of clustering proteins due to lower concentration of cholesterol present in the plasma membrane.
It is notable that in the lipid raft fractions EAAT2 shows monomeric and multimeric bands, whereas in the non-lipid raft fractions EAAT2 shows predominantly multimeric bands. It is possible that the non-raft components may be a reservoir where the oxidized and damaged EAAT2 accumulate, therefore, more multimeric EAAT2 were present in the non-lipid raft fractions (Haugeto et al. 1996, Trotti et al. 1998). The other potential explanation is that it may be simply due to the higher sucrose concentration in the non-lipid raft fractions, which prevents multimeric EAAT2 from breaking down to monomeric EAAT2 during sample preparation.
Amyloid β peptide has been reported to affect multiple aspects of cholesterol metabolism, including inhibiting cholesterol synthesis, inducing cholesterol oxidation and removing cholesterol form membrane (Grimm et al. 2005, Cutler et al. 2004, Michikawa et al. 2001). However, in this study, we did not observe the effect of Aβ1–42 on the association of EAAT2 with lipid rafts in primary cortical cultures (supplementary Fig. 2). In addition, EAAT2 is properly associated with lipid raft in APPSw,Ind transgenic mice (Fig. 2). It is possible that the effect of amyloid β peptide on the organization of lipid rafts is not significant enough to be detected by the methods used in this study.
Many studies have demonstrated that CYP46 is associated with pathogenesis of AD (Wang & Jia 2007, Helisalmi et al. 2006, Johansson et al. 2004, Papassotiropoulos et al. 2003). In this study, we provided a new pathway to connect the abnormal cholesterol metabolism with AD pathogenesis. Up-regulation of CYP46 reduces the amount of cholesterol in the plasma membrane, which destabilizes the lipid raft microdomains. This could lead to dissociation of EAAT2 protein from lipid rafts. When EAAT2 is dissociated from lipid rafts, it may become unstable and degrade. The question as to what causes up-regulation of CYP46 remains to be explored.
The findings in this study indicate that increased expression of CYP46 may be one of the factors causing lipid raft disorganization in AD and suggest that other lipid rafts associated proteins may also be affected. It is well known that the association with lipid raft is critical for the normal function of many proteins including receptors and transporters. Therefore, the prevention of lipid raft disorganization may be an important therapeutic target for AD.
Supplementary Material
Acknowledgements
This work was supported by the NIH (grants MH59805 and NS64275) and the Alzheimer’s Association. We thank Harvard Brain Tissue Resource Center, Johns Hopkins Alzheimer’s Disease Research Center Brain Bank, and University of Maryland Brain and Tissue Banks for Developmental Disorders for providing AD and normal control brain tissues. We also thank Dr. David W. Russell (University of Texas Southestern Medical Center) for providing anti-CYP46 antibody, Dr. Lennart Mucke (Gladstone Institute of Neurological Disease, University of California, San Francisco) for providing APPSw,Ind transgenic mice, and Dr. Xin He (University of Maryland, College Park) for assistance with statistical analysis.
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