Skip to main content
The Journal of Pharmacology and Experimental Therapeutics logoLink to The Journal of Pharmacology and Experimental Therapeutics
. 2012 Dec;343(3):696–703. doi: 10.1124/jpet.112.195701

Dendritic Spine Injury Induced by the 8-Hydroxy Metabolite of Efavirenz

Luis B Tovar-y-Romo 1, Namandjé N Bumpus 1, Daniel Pomerantz 1, Lindsay B Avery 1, Ned Sacktor 1, Justin C McArthur 1, Norman J Haughey 1,
PMCID: PMC3500535  PMID: 22984227

Abstract

Despite combination antiretroviral therapies (cARTs), a significant proportion of HIV-infected patients develop HIV-associated neurocognitive disorders (HAND). Ongoing viral replication in the central nervous system (CNS) caused by poor brain penetration of cART may contribute to HAND. However, it has also been proposed that the toxic effects of long-term cART may contribute to HAND. A better understanding of the neurotoxic potential of cART is critically needed in light of the use of CNS-penetrating cARTs to contend with the virus reservoir in the brain. The efavirenz (EFV) metabolites 7-hydroxyefavirenz (7-OH-EFV) and 8-hydroxyefavirenz (8-OH-EFV) were synthesized and purified, and their chemical structures were confirmed by mass spectrometry and NMR. The effects of EFV, 7-OH-EFV, and 8-OH-EFV on calcium, dendritic spine morphology, and survival were determined in primary neurons. EFV, 7-OH-EFV, and 8-OH-EFV each induced neuronal damage in a dose-dependent manner. However, 8-OH-EFV was at least an order of magnitude more toxic than EFV or 7-OH-EFV, inducing considerable damage to dendritic spines at a 10 nM concentration. The 8-OH-EFV metabolite evoked calcium flux in neurons, which was mediated primarily by L-type voltage-operated calcium channels (VOCCs). Blockade of L-type VOCCs protected dendritic spines from 8-OH-EFV-induced damage. Concentrations of EFV and 8-OH-EFV in the cerebral spinal fluid of HIV-infected subjects taking EFV were within the range that damaged neurons in culture. These findings demonstrate that the 8-OH metabolite of EFV is a potent neurotoxin and highlight the importance of directly determining the effects of antiretroviral drugs and drug metabolites on neurons and other brain cells.

Introduction

The widespread use of combination antiretroviral therapy (cART) has dramatically decreased the mortality rate of HIV-infected individuals and decreased the incidence of HIV-associated dementia (Heaton et al., 2011). Although cART has decreased the incidence of HIV-associated dementia, it seems to have had little impact on the prevalence of milder forms of cognitive impairments that are collectively known as HIV-associated neurocognitive disorders (HAND) (Heaton et al., 2010, 2011; Letendre et al., 2010; McArthur et al., 2010; Valcour et al., 2011b). Currently available data suggest that 50% of HIV-infected subjects will develop a neurologic disorder (Chang et al., 2004, 2008; Ernst and Chang, 2004; Valcour et al., 2004, 2011a). Moreover, the occurrence of HAND is associated with an increased risk of death (Vivithanaporn et al., 2010). Although the mechanisms for this residual cognitive impairment and association with increased mortality are not completely understood, continued viral replication in the brain caused by insufficient central nervous system (CNS) penetration of cART is thought to be an underlying mechanism (Robertson et al., 2007). Therefore, cART regimens with increased brain penetration have been proposed to combat HAND (Letendre et al., 2008). Although there is evidence that this approach reduces CSF viral load (Marra et al., 2009) and may improve cognitive function (Letendre et al., 2004; Smurzynski et al., 2011), there is also evidence that some antiretroviral drugs (ARVs) are toxic to neurons (Liner et al., 2010), and ARVs with increased brain penetration are associated with poor cognitive performance (Tozzi et al., 2007; Marra et al., 2009). Therefore, the effectiveness of brain-penetrating cART regimens is currently in question (Koopmans et al., 2009).

Few studies have directly determined the effects of antiretroviral drugs on neuronal function (Schweinsburg et al., 2005; Cardenas et al., 2009), and no studies have determined potential neurotoxic effects of antiretroviral drug metabolites. Most xenobiotics are metabolized by the cytochrome P450 (P450) superfamily of enzymes that catalyze phase 1 reactions (oxidation, reduction, and hydrolysis). Cytochromes P450 are concentrated in liver, but are also expressed in brain (Gervot et al., 1999; Bhagwat et al., 2000; Miksys et al., 2003). CNS effects of the non-nucleoside reverse transcriptase inhibitor efavirenz [EFV; (S)-(−)-6-chloro-4-(cyclopropylethynyl)-4-(trifluoromethyl)-2,4-dihydro-1H-3,1-benzoxazin-2-one], have been reported that include sleep disturbances and cognitive and mood disorders (Marzolini et al., 2001; Pérez-Molina, 2002; Lochet et al., 2003; Rihs et al., 2006), but to date there are no studies that have directly determined the effects of EFV or its metabolites on neuronal function.

EFV is metabolized primarily by CYP2B6 to produce a series of metabolites of which 8-hydroxyefavirenz (8-OH-EFV) is the most abundant (Ward et al., 2003; Bumpus et al., 2006; Ogburn et al., 2010). In addition, it has been recently demonstrated that 8-OH-EFV stimulates toxicity in primary human hepatocytes (Bumpus, 2011). In this study, we provide evidence that 8-OH-EFV is a potent neurotoxin that dysregulates neuronal calcium homeostasis and damages dendritic spines in the low nanomolar range. The effects of this metabolite are distinct from the parent drug and highlight the importance of screening not only antiretroviral medications for neurotoxicity but also drug metabolites.

Materials and Methods

Human Plasma and CSF.

Paired plasma and CSF samples were obtained from 13 HIV-infected subjects enrolled in the North Eastern AIDS Dementia Study (Sacktor et al., 2002). All subjects were taking cART regimens that included EFV. Subjects consisted of 10 males and 3 females aged 49.23 ± 10.35 years. CD4+ cell counts in this population were 369.6 ± 110.1 cells/mm3. HIV was detectable in the plasma of three subjects and in the CSF of four subjects.

Production and Isolation of 7-Hydroxy and 8-Hydroxy Efavirenz.

P450 2A6 and P450 2B6 cDNAs were cotransformed and expressed with P450 reductase in Escherichia coli to produce active P450s (Locuson et al., 2009). EFV (50 μM) was incubated with the membrane preparation for 60 min followed by termination of the reaction by using acetonitrile. The samples were spun at 4000g for 10 min at 4°C, supernatant was removed, and the metabolites were purified by high-pressure liquid chromatography (HPLC) using a Beckman Coulter (Fullerton, CA) 4.6 × 250-mm C18 HPLC column. The mobile phase consisted of water and 0.1% formic acid (mobile phase A) and acetonitrile and 0.1% formic acid (mobile phase B) using a gradient of 55 to 70% B over 24 min.

After collection of the metabolite-containing fractions, the samples were lyophilized and weighed. Methanol was then added to reconstitute the sample such that a 1% 8-hdyroxyefavirenz or 7-hydroxyefavirenz solution was produced. The absorbance of a 1-cm layer of the solution at 247 nm was then measured. The amount of 8-hydroxyefavirenz was calculated by using a molar absorptivity value of 46.5 [specific absorbance: A(1%, 1 cm) = 465) and 48.3 (specific absorbance: A(1%, 1 cm) = 483] for 7-hydroxyefavirenz.

Quantification of EFV, 7-OH-EFV, and 8-OH-EFV.

Sample preparation has been described previously (Avery et al., 2010). In brief, a racemic fluorinated analog of EFV (F-EFV; 10 ng) was added to 50 μl of sample before extraction for use as an internal standard. Extraction was conducted by using a liquid/liquid method with a 1:1 mixture of hexane and ethyl acetate containing ammonium formate (50 mM). The organic layer was dried and reconstituted in 100 μl of methanol. A fraction of 5 μl was subjected to ultra high-performance liquid chromatography/tandem mass spectrometry by using an AB Sciex QTRAP 5500 mass spectrometer (Applied Biosystems, Foster City, CA) interfaced with an Acquity ultra high-performance liquid chromatographer equipped with sample and binary solvent managers (Waters, Milford, MA). EFV, 7-OH-EFV, 8-OH-EFV, and F-EFV were resolved with a Waters XTerra MS C18, 2.5-μm, 21 × 50-mm column at a flow rate of 0.5 ml/min using gradient elution of mobile phase A (water and 0.1% formic acid) to B (acetonitrile and 0.1% formic acid). Detection was performed in negative ion electrospray ionization mode via multiple reaction monitoring. The following multiple reaction monitoring transitions were used for quantification: m/z 314.0 > 244.1 (EFV), m/z 329.9 > 162.0 (8-OH-EFV), m/z 329.9 > 188.9 (7-OH-EFV), and m/z 298.0 > 227.9 (F-EFV). A standard curve was run to simultaneously quantify EFV, 7-OH-EFV, and 8-OH-EFV with a lower quantification limit of 0.5 ng/ml.

Cell Culture.

Hippocampal neuronal cultures were prepared from embryonic day 18 Sprague-Dawley rats by using methods that have been described previously (Wheeler et al., 2009; Xu et al., 2011). In brief, hippocampi were isolated and trypsinized, and cells were dissociated by tituration in a calcium- and magnesium-free Hanks' balanced salt solution. Neurons were plated at a density of 150,000 cells/ml on 15-mm-diameter polyethyleneimine-coated glass coverslips in Neurobasal media supplemented with B-27 (Invitrogen, Carlsbad, CA) and 1% antibiotic solution (104 U of penicillin G/ml, 10 mg of streptomycin/ml, and 25 μg of amphotericin B/ml) (Sigma, St. Louis, MO). Three hours after plating, total media were replaced and thereafter supplemented with Neurobasal media containing B-27 every 7 days. Immunofluorescent staining for microtubule-associated protein 2 (neurons) routinely showed that hippocampal cultures were >98% neurons with the remainder of cells predominantly glial fibrillary acidic protein-positive astrocytes. Hippocampal cultures were used between 14 and 21 days in vitro.

Calcium Imaging.

Cytosolic calcium ([Ca2+]c) levels were measured by using the Ca2+-specific fluorescent probe Fura-2/AM. Rat hippocampal neurons were incubated for 20 min with Fura-2/AM (2 μM) at 37°C in Neurobasal media containing B27 supplement. Neurons were then washed with Locke's buffer (154 mM NaCl, 3.6 mM NaHCO3, 5.6 mM KCl, 1 mM MgCl2, 5 mM HEPES, 2.3 mM CaCl2, and 10 mM glucose, pH 7.4) to remove extracellular Fura-2 and incubated at 37°C for an additional 10 min to allow complete de-esterfication of the probe. Coverslips containing Fura-2-loaded cells were mounted in an RC-26 imaging chamber (Warner Instruments, Hamden, CT) and maintained at 37°C (TC344B Automatic Temperature Controller; Warner Instruments). Neurons were perfused at the rate of 2 ml/min with Locke's buffer by using a V8 channel controller (Warner Instruments). Rapid switching from vehicle to Locke's buffer containing EFV, 7-OH-EFV, or 8-OH-EFV was accomplished by placing the perfusion tube and suction apparatus close to the cells to be imaged (with an approximate 0.05-cm gap) so a thin film of perfusate rapidly passed over the cells. Cells were excited at 340 and 380 nm, and emission was recorded at 510 nm with a video-based intracellular imaging system (Photon Technology Inc., Ontario, Canada) equipped with a QuantEM 512sc electron-multiplying gain camera (Photometrics, Tuscon, AZ). Images were acquired at the rate of 200 ms per image pair from cell somas. The fluorescent intensities of ratio images were converted to nanometers of [Ca2+]c levels by curve fitting using reference standards as described previously (Wheeler et al., 2009).

Cell Survival.

Cell viability was determined by nuclear morphology using the fluorescent DNA binding dye Hoescht 33342 as described previously (Haughey et al., 2001). Nuclei were visualized on a Zeiss Axiovert 200 inverted microscope (Carl Zeiss Inc., Thornwood, NY) under epilfluorescence illumination (340-nm excitation and 510-nm barrier filter) using a 40× oil immersion objective. Two hundred cells from five fields in three separate cultures per experimental condition were counted without knowledge of the experimental condition. Cells in which nuclear staining was diffuse were considered to be viable, and cells where nuclear staining was condensed or fragmented were considered to be “apoptotic.”

Imaging and Quantification of Dendritic Spines.

Dendritic spines were visualized by staining F-actin with phalloidin conjugated to Alexa 568. Neurons were washed once with PBS and fixed with ice-cold 4% paraformaldehyde for 20 min. Cells were then washed with PBS containing 100 mM glycine, incubated for 5 min in PBS containing 0.1% Triton X-100, and incubated with phalloidin 568 (5 U/ml) for 30 min at room temperature. Coverslips were washed twice with PBS to remove excess probe and mounted on glass slides by using a permanent mounting medium containing antifading agents (Vectashield; Vector Laboratories, Burlingame, CA). Dendritic branches were visualized by using a Zeiss Axiovert 200 inverted microscope (Carl Zeiss Inc.) equipped with an Orca CCD camera (Hamamatsu Photonics, Bridgewater, NJ) under epilfluorescence illumination (558-nm excitation and 568-nm emission) by using a 100× oil objective.

A minimum of 10 neurons from three independent experiments was analyzed for each condition. The number of dendritic spines (defined as thin protrusions emerging from dendritic processes) extending from two to five primary dendrites/neuron was quantified for a distance of approximately 20 μm from the cell soma by using AxioVision 4.8.2 (Carl Zeiss Inc). Spine density across all measured dendritic segments was normalized to the length of the primary dendrite. Measurements were conducted by an investigator blinded to the experimental condition.

Results

The 8-Hydroxyefavirenz Metabolite Evokes Calcium Influx in Neurons.

EFV and the 7-OH-EFV and 8-OH-EFV metabolites used for these studies were isolated by HPLC-fractionation, and the structures were confirmed by using mass spectrometry and NMR according to published spectral information (Mutlib et al., 1999) (Fig. 1). We first investigated whether EFV or its hydroxylated metabolites could alter intracellular Ca2+ homeostasis in primary rat hippocampal neurons. Two-minute applications of EFV (10 μM) or 7-OH-EFV (10 μM) had no effect on intracellular calcium (Fig. 2, A-C). However, applications of 8-OH-EFV (10 μM) induced immediate increases of intraneuronal Ca2+ (Fig. 2D). With a 10 μM dose of 8-OH-EFV, approximately half of the neurons seemed to undergo a catastrophic loss of membrane integrity and release of the calcium probe. The remaining neurons exhibited clear signs of damage, including beading of neurites and vacuolization of the soma (data not shown). We then conducted a dose response for 8-OH-EFV (0.1–10 μM) and found that 1 μM was the minimal effective dose to consistently increase intraneuronal Ca2+ (Fig. 2E) within 1 to 5 s of application (Fig. 2E, Inset). Applications of 8-OH-EFV induced the entry of calcium from an extracellular source, because the removal of calcium from the buffer blocked this effect (Fig. 2, F and G).

Fig. 1.

Fig. 1.

Tandem mass spectrometry spectra and fragmentation pattern of hydroxylated metabolites of EFV. The hydroxylated metabolites 7-OH-EFV and 8-OH-EFV were collected by fractionation after incubation of EFV with membrane preparations expressing CYP2A6 and CYP2B6. Hydroxylated EFV metabolites were fragmented and identified by triple quadruple mass spectrometry. A, 7-OH-EFV fragments (m/z 330/258 and 330/286). B, 8-OH-EFV fragments (m/z 330/210, 330/246, 330/250, 330/258, and 330/286).

Fig. 2.

Fig. 2.

Calcium responses in neurons exposed to EFV and hydroxylated metabolites. Primary hippocampal neurons were loaded with the calcium-sensitive dye Fura-2/AM, and images were acquired in neuronal somas at a rate of one image pair per second. A to D, the average ± S.D. of intracellular calcium concentrations over the indicated times. Arrows indicate the addition of vehicle (A), EFV (B), 7-OHEFV (C), and 8-OHEFV (D) (each at 10 μM). E, dose-response relationship showing the intracellular calcium response to 8-OH-EFV (0.1–10 μM). Inset shows the neuronal calcium response to 1 μM 8-OH-EFV. F, removing calcium from the perfusion buffer blunted the neuronal calcium response to 8-OH-EFV (10 μM), suggesting that intracellular calcium increases were caused largely by the influx of extracellular calcium. G, summary data showing average peak intracellular calcium increases evoked by EFV, 7-OH-EFV, and 8-OH-EFV (each at a concentration of 10 μM). Quantitative data are the average ± S.D. of 20 to 25 neurons derived from five separate experiments using ANOVA with Tukey's post hoc comparisons. ***, p < 0.001 compared with control. ###, p < 0.001 compared with 8-OHEFV.

To determine the mechanism of Ca2+ influx we used pharmacological inhibitors to block the major calcium-permeable ion channels in neurons including NMDA receptors [(5S,10R)-(+)-5-methyl-10,11-dihydro-5H-dibenzo[a,d]cyclohepten-5,10-imine (MK-801), 20 μM], AMPA receptors (NBQX, 20 μM), purinergic receptors (PPADS, 10 μM and suramin, 100 μM), or voltage-gated calcium channels (VOCCs) (nifedipine, 10 μM) and exposed neurons to 8-OH-EFV (1 μM; Fig. 3A). Blockade of NMDA or AMPA receptors had no effect on 8-OH-EFV-induced calcium influx (Fig. 3, B and C). Blockade of purinergic receptors (Fig. 3, D and E) or VOCCs (Fig. 3F) partially reduced 8-OH-EFV-evoked calcium influx. Blocking both purinergic receptors and VOCCs slowed the rise of intraneuronal Ca2+ that followed 8-OH-EFV exposure, but resulted in a similar peak level within 100 s compared with either drug alone (Fig. 3G).

Fig. 3.

Fig. 3.

8-OH-EFV-evoked calcium increases neurons involves voltage-operated calcium channels and purinergic receptors. The source of 8-OH-EFV-evoked calcium influx in neurons was determined by using pharmacological inhibitors to block specific calcium-permeable channels. A to G, the average ± S.D. of intracellular calcium concentration over the indicated time. Arrows indicate the addition of 8-OH-EFV (1 μM) in neurons treated with vehicle (A), the NMDA antagonist MK-801 (10 μM) (B), the AMPA receptor blocker NBQX (10 μM) (C), the general purinergic receptor antagonists suramine (100 μM) (D) and PPADS (10 μM) (E), the voltage-operated calcium channel antagonist nifedipine (10 μM) (F), and a combination of PPADS and nifedipine (G). H, summary data of average peak intracellular calcium increases for the indicated experimental conditions. Quantitative data are the average ± S.D. of 20 to 25 neurons from five separate experiments using ANOVA with Tukey's post hoc comparisons. *, p < 0.05; **, p < 0.01 compared with control.

8-Hydroxyefavirenz Is a Potent Neurotoxin.

We exposed primary neuronal cultures to EFV, 7-OH-EFV, or 8-OH-EFV (0.01–10 μM) for 24 h and determined apoptosis by nuclear morphology using the fluorescent DNA binding dye Hoescht 33342. The dose-response relationships for EFV and 7-OH-EFV were similar, with each compound exhibiting a minimal toxic dose of 0.1 μM that produced 41.3 ± 14.0% (EFV) and 41.2 ± 15.0% (7-OH EFV) increases in apoptotic nuclei (Fig. 4). At the highest dose tested (10 μM) EFV produced a 66.6 ± 4.2% increase and 7-OH-EFV produced a 63.5 ± 12.2% increase in apoptotic nuclei (Fig. 4A). In contrast, 8-OH-EFV was at least an order of magnitude more toxic and increased the percentage of apoptotic nuclei to 36.4% ± 7.1% at a 0.01-μM dose (Fig. 4A). Neurotoxicity induced by 8-OH-EFV was not prevented by the inhibition of purinergic receptors with PPADS (37.9 ± 11.8% death), but it was partially prevented by the inhibition of L-type VOCCs (24.5 ± 8.0% death). Inhibition of both purinergic receptors and L-type VOCCs did not further improve neuronal survival (27.6 ± 8.0; Fig. 4B).

Fig. 4.

Fig. 4.

Dose effects of EFV, 7-OH-EFV, and 8-OH-EFV on neuronal survival. Neurons were incubated with EFV, 7-OH-EFV, and 8-OH-EFV (0.01–10 μM) for 24 h, and the number of nuclei with apoptotic morphology was quantified. A, representative images of primary neurons for the indicated experimental conditions labeled with Hoescht 33342 (1 μM). This dye labels chromatin and appears diffuse in healthy nuclei and condensed or fragmented (arrows indicate examples) in apoptotic nuclei. B, dose-response survival curves for EFV (●, continuous line), 7-OHEFV (■, dotted line), and 8-OHEFV (○, dashed line). Each compound decreased neuronal survival in a dose-dependent manner, with 8-OH-EFV showing the most potent effects on neuronal survival at each dose tested. p < 0.0001 for the main effect of 8-OH-EFV compared with EFV (one-way ANOVA). C, neuronal apoptosis elicited by 8-OH-EFV (100 nM) was not prevented by the purinergic receptor antagonist PPADS (10 μM), but was reversed by the voltage-operated calcium channel antagonist nifedipine (10 μM). The combination of PPADS and nifedipine showed a neuroprotective effect similar to nifedipine alone. Data represent the average ± S.D. of 200 cells from a total of three separate experiments per condition using ANOVA with Tukey's post hoc comparisons. ***, p < 0.001. #, p < 0.05 compared with 8-OH-EFV.

We next determined whether low concentrations of EFV or its hydroxylated metabolites (0.01 and 0.1 μM) damaged dendritic spines. EFV and the metabolites 7-OH-EFV and 8-OH-EFV produced considerable loss of dendritic spines at a 0.1-μM dose. In control conditions there were 9.5 ± 0.9 secondary dendrites per 10 μm. Spine density was reduced to 4.0 ± 1.4 for EFV, 4.9 ± 1.5 for 7-OH-EFV, and 4.7 ± 1.6 for 8-OH-EFV with a 0.1-μM dose. In contrast, the 8-OH metabolite of EFV was considerably more toxic and reduced the number of dendritic spines to 5.2 ± 1.7 per 10 μm at a dose of 0.01 μM (Fig. 5B). EFV and 7-OH-EFV at a dose of 0.001 μM did not appreciably alter the number of dendritic spines (Fig. 5A). Blockade of purinergic receptors with PPADS did not rescue dendritic spine damage induced by 8-OH-EFV (5.2 ± 2.0 per 10 μm), whereas inhibition of L-type VOCCs with nifedipine offered partial protection from 8-OH-EFV-induced spine loss (8.9 ± 2.4 per 10 μm) (Fig. 5B). Inhibition of both purinergic receptors and VOCCs did not offer additional protection (7.5 ± 2.2 per 10 μm) compared with the inhibition of VOCCs alone (Fig. 5B). These data demonstrate that the EFV metabolite 8-OH-EFV in the low nanometer range induces damage to dendritic spines.

Fig. 5.

Fig. 5.

Dose effects of EFV, 7-OH-EFV, and 8-OH-EFV on dendritic spines. Neurons were treated for 24 h with the indicated concentrations of EFV, 7-OH-EFV, or 8-OH-EFV, and dendritic spines were visualized by labeling F-actin with a fluorescent phalloidin. A, micrographs showing the loss of dendritic spines in neurons treated with the indicated concentrations of EFV, 7-OH-EFV, and 8-OH-EFV. Arrows indicate examples of spines. Scale bar, 5 μm. Quantitative analysis shows that 8-OH-EFV damages dendritic spines at a lower dose (10 nM) compared with EFV or 7-OH-EFV. B, sample micrographs showing dendrites and dendritic spines after exposure for 24 h to vehicle (control), 8-OH-EFV alone (100 nM), or 8-OH-EFV in combination with the general purinergic receptor antagonist PPADS (10 μM), the L-type voltage-operated calcium channel antagonist nifedipine (10 μM), or both drugs combined. Summary data show that nifedipine, but not PPADS, effectively protects dendritic spines from 8-OH-EFV-induced damage. Quantitative data are the average ± S.D. of the number of dendritic spines from a total of 10 different neurons in each of three independent experiments per condition using ANOVA with Tukey's post hoc comparisons. ***, p < 0.001; **, p < 0.01 compared with control. ###, p < 0.001; #, p < 0.05 compared with 8-OH-EFV.

Plasma and CSF Concentrations of Efavirenz and 8-Hydroxyefavirenz.

We determined plasma and CSF concentrations of EFV and 8-OH-EFV in human subjects on stable cART regimens that included EFV. In these subjects the median plasma concentration of EFV was 2170 ng/ml (range 1010–7510) and 166 ng/ml (range 69.3–621) for 8-OH-EFV (Fig. 6A). The median CSF concentration of EFV was 18.8 ng/ml (range 6.28–52.9), and it was 3.37 (range 0.35–32.7) for 8-OH-EFV (Fig. 6B). These median values correspond to CSF concentrations of 59.6 nM for EFV and 10.2 nM for 8-OH-EFV.

Fig. 6.

Fig. 6.

Matched plasma and CSF samples were collected from 13 subjects taking cART regimens that contained EFV. Concentrations of EFV and 8-OH-EFV in plasma (A) and CSF (B) are shown for each subject. Cross bars indicates median concentrations.

Discussion

Long-term cART has dramatically decreased the mortality rate of HIV-infected individuals, owing to the ability of these drugs to suppress viral replication. Most ARVs do not enter the CNS in appreciable amounts; thus, the brain has remained a reservoir for HIV (Langford et al., 2006). Ongoing (although probably low level) viral replication in brain is thought to contribute to the pathogenesis of HAND (Masliah et al., 2000; Neuenburg et al., 2002; Langford et al., 2003), and targeting ARVs to inhibit viral replication in brain to treat or prevent HAND has been suggested (May et al., 2007). However, this approach has raised concerns that some ARVs may damage neurons. Unfortunately, very little experimental data are available on the potential of ARVs or drug metabolites to damage neurons.

The CNS side effects of EFV that have been described include dizziness, vivid dreams, headaches, disturbances in attention and sleep, psychotic events, and hallucinations, with the majority of these events regarded as mild. The most evident CNS side effects of EFV generally occur and resolve within the first month of therapy and rarely lead to discontinuation of the therapy (Moyle, 1999). However, recent data have associated EFV with a higher risk of neurocognitive impairment, particularly on tasks requiring a high degree of attention and executive function (Ciccarelli et al., 2011). It has also been reported that cART regimens containing EFV may lead to a worsening of cognitive performance after several weeks of treatment (Winston et al., 2010), and these impairments in cognitive performance are significantly improved when patients discontinue treatment (Robertson et al., 2010). As would be expected, the severity of these CNS symptoms correlates to EFV plasma concentrations (Marzolini et al., 2001). However, not all studies have confirmed this relationship (Clifford et al., 2005).

In this study, we sought to directly determine the effects of EFV and its hydroxylated metabolites on neurons. Our findings suggest that 8-OH-EFV is at least an order of magnitude more toxic to neurons compared with the parent compound EFV or 7-OH-EFV. Damage to dendritic spines was produced with 100 nM EFV or 7-OH-EFV. The 8-OH-EFV metabolite was approximately 10-fold more toxic compared with EFV and caused considerable dendritic damage (10 nM) with frank cell death at a 100-nM dose. We found that concentrations of EFV and 8-OH-EFV in CSF from human subjects taking cART seem to be within this neurotoxic dose range. The median concentration of EFV in the CSF of HIV-infected subjects taking cART-containing EFV was 59.6 nM, similar to previously reported CSF concentrations of 35 nM (0.5% of that in plasma) (Moyle, 1999; Tashima et al., 1999; Best et al., 2011). The median concentration of 8-OH-EFV in CSF was 10.2 nM. Together, these data suggest that concentrations of the parent drug EFV in brain may be within the range that can damage neurons, and concentrations of 8-OH-EFV could be three times the minimal dose that produced dendritic damage to cultured neurons. Moreover, there may be a genetic susceptibility to the neurotoxic effects of EFV that is related to its rate of metabolism. Extensive EFV metabolizers have been identified that express the *1/1 haplotype of CYP2B6 (Ngaimisi et al., 2010). Thus, a genetic susceptibility in some individuals may exaggerate the neurotoxic effects of EFV because of a rapid metabolism of EFV with accumulations of the 8-OH-EFV metabolite.

This enhanced toxicity of 8-OH-EFV seems to be caused by the ability of this metabolite to perturb calcium homeostasis. The 8-OH-EFV metabolite, but not 7-OH-EFV or the parent compound EFV, induced rapid calcium influx in neurons that was partially inhibited by a general antagonist of purinergic receptors and was almost completely eliminated by the blockade of L-type VOCCs. Calcium-permeable NMDA- and AMPA-type glutamate receptors were not activated by 8-OH-EFV. Consistent with a prominent role for VOCCs, the inhibition of L-type calcium channels partially protected dendritic spines from 8-OH-EFV-induced damage. These data suggest that the metabolism of EFV produces a highly neurotoxic metabolite (8-OH-EFV) that is capable of damaging neurites at very low concentrations. Thus, cognitive impairments associated with EFV may involve synaptic damage mediated by its major metabolite, 8-OH-EFV. It is interesting to note that the parent compound EFV and the 7-OH-EFV metabolite also displayed a neurotoxic potential that seemed to be calcium-independent. The mechanisms of these separate toxic effects are currently being studied and may interact with the toxicity produced by 8-OH-EFV.

It is interesting that the position of the OH group on the 7-carbon versus the 8-carbon of the benzoxazine ring produces such a dramatic difference in evoked calcium flux and neurotoxicity. These data suggest that the proximity of the OH group at position 8 to the nitrogen group in the benzoxazine structure is the critical determinant for forming a highly neurotoxic metabolite of EFV. Therefore, substituting the carbon at position 8 so that EFV cannot be hydroxylated at this position should produce a compound with decreased neurotoxicity. Such a drug with a fluorine substituent at carbon 8, which retains inhibitory activity at reverse transcriptase (with an IC90 of 7.19 nM that is close to the IC90 of 2.03 nM for EFV), has been synthesized (Patel et al., 1999). This drug may offer an alternative to EFV with reduced neurotoxicity resulting from secondary metabolite production.

These findings contribute to our understanding of the mechanism for neurotoxicity associated with EFV therapy. Because the anticipated length of therapy for cART is the lifetime of the patient, these data highlight the importance of screening antiretroviral drugs and drug metabolites for neurotoxic potential. This principle may be especially important if brain penetration is desired to reduce CNS viral replication.

This work was supported by the National Institutes of Health National Institute on Alcohol Abuse and Alcoholism [Grant AA0017408], the National Institutes of Health National Institute of Mental Health [Grants MH077542, MH075673, MH075673, MH71150]; the National Institutes of Health National Institute on Aging [Grant AG034849]; and the National Institutes of Health National Institute of Neurological Disorders and Stroke [Grant NS049465].

Article, publication date, and citation information can be found at http://jpet.aspetjournals.org.

http://dx.doi.org/10.1124/jpet.112.195701.

ABBREVIATIONS:
cART
combination antiretroviral therapy
AM
acetoxymethyl ester
AMPA
α-amino-3-hydroxy-5-methyl-4-isoxazolepropionic acid
ANOVA
analysis of variance
ARV
antiretroviral drug
[Ca2+]c
cytosolic calcium
CNS
central nervous system
CSF
cerebrospinal fluid
EFV
efavirenz
7-OH-EFV
7-hydroxyefavirenz
8-OH-EFV
8-hydroxyefavirenz
F-EFV
fluorinated analog of EFV
HAND
HIV-associated neurocognitive disorders
HPLC
high-performance liquid chromatography
MK-801
(5S,10R)-(+)-5-methyl-10,11-dihydro-5H-dibenzo[a,d]cyclohepten-5,10-imine
NBQX
2,3-dihydroxy-6-nitro-7-sulfamoylbenzo(f)quinoxaline
NMDA
N-methyl-d-aspartate
P450
cytochrome P450
PBS
phosphate-buffered saline
PPADS
4-[(E)-{4-formyl-5-hydroxy-6-methyl-3-[(phosphonooxy)methyl]pyridin-2-yl}diazenyl]benzene-1,3-disulfonic acid
VOCC
voltage-operated calcium channel.

Authorship Contributions

Participated in research design: Tovar-y-Romo, Bumpus, Sacktor, McArthur, and Haughey.

Conducted experiments: Tovar-y-Romo, Bumpus, Pomerantz, and Avery.

Contributed new reagents or analytic tools: Bumpus.

Performed data analysis: Tovar-y-Romo, Bumpus, Avery, and Haughey.

Wrote or contributed to the writing of the manuscript: Tovar-y-Romo, Bumpus, Avery, and Haughey.

References

  1. Avery LB, Parsons TL, Meyers DJ, Hubbard WC. (2010) A highly sensitive ultra performance liquid chromatography-tandem mass spectrometric (UPLC-MS/MS) technique for quantitation of protein free and bound efavirenz (EFV) in human seminal and blood plasma. J Chromatogr B Analyt Technol Biomed Life Sci 878:3217–3224 [DOI] [PMC free article] [PubMed] [Google Scholar]
  2. Best BM, Koopmans PP, Letendre SL, Capparelli EV, Rossi SS, Clifford DB, Collier AC, Gelman BB, Mbeo G, McCutchan JA, et al. (2011) Efavirenz concentrations in CSF exceed IC50 for wild-type HIV. J Antimicrob Chemother 66:354–357 [DOI] [PMC free article] [PubMed] [Google Scholar]
  3. Bhagwat SV, Boyd MR, Ravindranath V. (2000) Multiple forms of cytochrome P450 and associated monooxygenase activities in human brain mitochondria. Biochem Pharmacol 59:573–582 [DOI] [PubMed] [Google Scholar]
  4. Bumpus NN. (2011) Efavirenz and 8-hydroxyefavirenz induce cell death via a JNK- and BimEL-dependent mechanism in primary human hepatocytes. Tox Appl Pharmacol 257:227–234 [DOI] [PubMed] [Google Scholar]
  5. Bumpus NN, Kent UM, Hollenberg PF. (2006) Metabolism of efavirenz and 8-hydroxyefavirenz by P450 2B6 leads to inactivation by two distinct mechanisms. J Pharmacol Exp Ther 318:345–351 [DOI] [PubMed] [Google Scholar]
  6. Cardenas VA, Meyerhoff DJ, Studholme C, Kornak J, Rothlind J, Lampiris H, Neuhaus J, Grant RM, Chao LL, Truran D, et al. (2009) Evidence for ongoing brain injury in human immunodeficiency virus-positive patients treated with antiretroviral therapy. J Neurovirol 15:324–333 [DOI] [PMC free article] [PubMed] [Google Scholar]
  7. Chang L, Lee PL, Yiannoutsos CT, Ernst T, Marra CM, Richards T, Kolson D, Schifitto G, Jarvik JG, Miller EN, et al. (2004) A multicenter in vivo proton-MRS study of HIV-associated dementia and its relationship to age. Neuroimage 23:1336–1347 [DOI] [PubMed] [Google Scholar]
  8. Chang L, Wong V, Nakama H, Watters M, Ramones D, Miller EN, Cloak C, Ernst T. (2008) Greater than age-related changes in brain diffusion of HIV patients after 1 year. J Neuroimmune Pharmacol 3:265–274 [DOI] [PMC free article] [PubMed] [Google Scholar]
  9. Ciccarelli N, Fabbiani M, Di Giambenedetto S, Fanti I, Baldonero E, Bracciale L, Tamburrini E, Cauda R, De Luca A, Silveri MC. (2011) Efavirenz associated with cognitive disorders in otherwise asymptomatic HIV-infected patients. Neurology 76:1403–1409 [DOI] [PubMed] [Google Scholar]
  10. Clifford DB, Evans S, Yang Y, Acosta EP, Goodkin K, Tashima K, Simpson D, Dorfman D, Ribaudo H, Gulick RM. (2005) Impact of efavirenz on neuropsychological performance and symptoms in HIV-infected individuals. Ann Intern Med 143:714–721 [DOI] [PubMed] [Google Scholar]
  11. Ernst T, Chang L. (2004) Effect of aging on brain metabolism in antiretroviral-naive HIV patients. AIDS 18 (Suppl 1):S61–S67 [PubMed] [Google Scholar]
  12. Gervot L, Rochat B, Gautier JC, Bohnenstengel F, Kroemer H, de Berardinis V, Martin H, Beaune P, de Waziers I. (1999) Human CYP2B6: expression, inducibility and catalytic activities. Pharmacogenetics 9:295–306 [PubMed] [Google Scholar]
  13. Haughey NJ, Nath A, Mattson MP, Slevin JT, Geiger JD. (2001) HIV-1 Tat through phosphorylation of NMDA receptors potentiates glutamate excitotoxicity. J Neurochem 78:457–467 [DOI] [PubMed] [Google Scholar]
  14. Heaton RK, Clifford DB, Franklin DR, Jr, Woods SP, Ake C, Vaida F, Ellis RJ, Letendre SL, Marcotte TD, Atkinson JH, et al. (2010) HIV-associated neurocognitive disorders persist in the era of potent antiretroviral therapy: CHARTER Study. Neurology 75:2087–2096 [DOI] [PMC free article] [PubMed] [Google Scholar]
  15. Heaton RK, Franklin DR, Ellis RJ, McCutchan JA, Letendre SL, Leblanc S, Corkran SH, Duarte NA, Clifford DB, Woods SP, et al. (2011) HIV-associated neurocognitive disorders before and during the era of combination antiretroviral therapy: differences in rates, nature, and predictors. J Neurovirol 17:3–16 [DOI] [PMC free article] [PubMed] [Google Scholar]
  16. Koopmans PP, Ellis R, Best BM, Letendre S. (2009) Should antiretroviral therapy for HIV infection be tailored for intracerebral penetration? Neth J Med 67:206–211 [PMC free article] [PubMed] [Google Scholar]
  17. Langford D, Marquie-Beck J, de Almeida S, Lazzaretto D, Letendre S, Grant I, McCutchan JA, Masliah E, Ellis RJ. (2006) Relationship of antiretroviral treatment to postmortem brain tissue viral load in human immunodeficiency virus-infected patients. J Neurovirol 12:100–107 [DOI] [PubMed] [Google Scholar]
  18. Langford TD, Letendre SL, Larrea GJ, Masliah E. (2003) Changing patterns in the neuropathogenesis of HIV during the HAART era. Brain Pathol 13:195–210 [DOI] [PMC free article] [PubMed] [Google Scholar]
  19. Letendre S, Marquie-Beck J, Capparelli E, Best B, Clifford D, Collier AC, Gelman BB, McArthur JC, McCutchan JA, Morgello S, et al. (2008) Validation of the CNS Penetration-Effectiveness rank for quantifying antiretroviral penetration into the central nervous system. Arch Neurol 65:65–70 [DOI] [PMC free article] [PubMed] [Google Scholar]
  20. Letendre SL, Ellis RJ, Ances BM, McCutchan JA. (2010) Neurologic complications of HIV disease and their treatment. Top HIV Med 18:45–55 [PMC free article] [PubMed] [Google Scholar]
  21. Letendre SL, McCutchan JA, Childers ME, Woods SP, Lazzaretto D, Heaton RK, Grant I, Ellis RJ, HNRC Group (2004) Enhancing antiretroviral therapy for human immunodeficiency virus cognitive disorders. Ann Neurol 56:416–423 [DOI] [PubMed] [Google Scholar]
  22. Liner J, Meeker RB, Robertson K. (2010) CNS toxicity of antiretroviral drugs, at the 17th Conference on Retrovirus and Opportunistic Infections; 2010 Feb 16–19; San Francisco, CA The Conference on Retroviruses and Opportunistic Infections (Alexandria, VA) and the University of California at San Diego School of Medicine (San Diego, CA) [Google Scholar]
  23. Lochet P, Peyrière H, Lotthé A, Mauboussin JM, Delmas B, Reynes J. (2003) Long-term assessment of neuropsychiatric adverse reactions associated with efavirenz. HIV Med 4:62–66 [DOI] [PubMed] [Google Scholar]
  24. Locuson CW, Ethell BT, Voice M, Lee D, Feenstra KL. (2009) Evaluation of Escherichia coli membrane preparations of canine CYP1A1, 2B11, 2C21, 2C41, 2D15, 3A12, and 3A26 with coexpressed canine cytochrome P450 reductase. Drug Metab Dispos 37:457–461 [DOI] [PubMed] [Google Scholar]
  25. Marra CM, Zhao Y, Clifford DB, Letendre S, Evans S, Henry K, Ellis RJ, Rodriguez B, Coombs RW, Schifitto G, et al. (2009) Impact of combination antiretroviral therapy on cerebrospinal fluid HIV RNA and neurocognitive performance. AIDS 23:1359–1366 [DOI] [PMC free article] [PubMed] [Google Scholar]
  26. Marzolini C, Telenti A, Decosterd LA, Greub G, Biollaz J, Buclin T. (2001) Efavirenz plasma levels can predict treatment failure and central nervous system side effects in HIV-1-infected patients. AIDS 15:71–75 [DOI] [PubMed] [Google Scholar]
  27. Masliah E, DeTeresa RM, Mallory ME, Hansen LA. (2000) Changes in pathological findings at autopsy in AIDS cases for the last 15 years. AIDS 14:69–74 [DOI] [PubMed] [Google Scholar]
  28. May S, Letendre S, Haubrich R, McCutchan JA, Heaton R, Capparelli E, Ellis R. (2007) Meeting practical challenges of a trial involving a multitude of treatment regimens: an example of a multi-center randomized controlled clinical trial in neuroAIDS. J Neuroimmune Pharmacol 2:97–104 [DOI] [PubMed] [Google Scholar]
  29. McArthur JC, Steiner J, Sacktor N, Nath A. (2010) Human immunodeficiency virus-associated neurocognitive disorders: mind the gap. Ann Neurol 67:699–714 [DOI] [PubMed] [Google Scholar]
  30. Miksys S, Lerman C, Shields PG, Mash DC, Tyndale RF. (2003) Smoking, alcoholism and genetic polymorphisms alter CYP2B6 levels in human brain. Neuropharmacology 45:122–132 [DOI] [PubMed] [Google Scholar]
  31. Moyle GJ. (1999) Efavirenz: shifting the HAART paradigm in adult HIV-1 infection. Expert Opin Investig Drugs 8:473–486 [DOI] [PubMed] [Google Scholar]
  32. Mutlib AE, Chen H, Nemeth GA, Markwalder JA, Seitz SP, Gan LS, Christ DD. (1999) Identification and characterization of efavirenz metabolites by liquid chromatography/mass spectrometry and high field NMR: species differences in the metabolism of efavirenz. Drug Metab Dispos 27:1319–1333 [PubMed] [Google Scholar]
  33. Neuenburg JK, Brodt HR, Herndier BG, Bickel M, Bacchetti P, Price RW, Grant RM, Schlote W. (2002) HIV-related neuropathology, 1985 to 1999: rising prevalence of HIV encephalopathy in the era of highly active antiretroviral therapy. J Acquir Immune Defic Syndr 31:171–177 [DOI] [PubMed] [Google Scholar]
  34. Ngaimisi E, Mugusi S, Minzi OM, Sasi P, Riedel KD, Suda A, Ueda N, Janabi M, Mugusi F, Haefeli WE, et al. (2010) Long-term efavirenz autoinduction and its effect on plasma exposure in HIV patients. Clin Pharmacol Ther 88:676–684 [DOI] [PubMed] [Google Scholar]
  35. Ogburn ET, Jones DR, Masters AR, Xu C, Guo Y, Desta Z. (2010) Efavirenz primary and secondary metabolism in vitro and in vivo: identification of novel metabolic pathways and cytochrome P450 2A6 as the principal catalyst of efavirenz 7-hydroxylation. Drug Metab Dispos 38:1218–1229 [DOI] [PMC free article] [PubMed] [Google Scholar]
  36. Patel M, Ko SS, McHugh RJ, Jr, Markwalder JA, Srivastava AS, Cordova BC, Klabe RM, Erickson-Viitanen S, Trainor GL, Seitz SP. (1999) Synthesis and evaluation of analogs of Efavirenz (SUSTIVA) as HIV-1 reverse transcriptase inhibitors. Bioorg Med Chem Lett 9:2805–2810 [DOI] [PubMed] [Google Scholar]
  37. Pérez-Molina JA. (2002) Safety and tolerance of efavirenz in different antiretroviral regimens: results from a national multicenter prospective study in 1,033 HIV-infected patients. HIV Clin Trials 3:279–286 [DOI] [PubMed] [Google Scholar]
  38. Rihs TA, Begley K, Smith DE, Sarangapany J, Callaghan A, Kelly M, Post JJ, Gold J. (2006) Efavirenz and chronic neuropsychiatric symptoms: a cross-sectional case control study. HIV Med 7:544–548 [DOI] [PubMed] [Google Scholar]
  39. Robertson KR, Smurzynski M, Parsons TD, Wu K, Bosch RJ, Wu J, McArthur JC, Collier AC, Evans SR, Ellis RJ. (2007) The prevalence and incidence of neurocognitive impairment in the HAART era. AIDS 21:1915–1921 [DOI] [PubMed] [Google Scholar]
  40. Robertson KR, Su Z, Margolis DM, Krambrink A, Havlir DV, Evans S, Skiest DJ, A5170 Study Team (2010) Neurocognitive effects of treatment interruption in stable HIV-positive patients in an observational cohort. Neurology 74:1260–1266 [DOI] [PMC free article] [PubMed] [Google Scholar]
  41. Sacktor N, McDermott MP, Marder K, Schifitto G, Selnes OA, McArthur JC, Stern Y, Albert S, Palumbo D, Kieburtz K, et al. (2002) HIV-associated cognitive impairment before and after the advent of combination therapy. J Neurovirol 8:136–142 [DOI] [PubMed] [Google Scholar]
  42. Schweinsburg BC, Taylor MJ, Alhassoon OM, Gonzalez R, Brown GG, Ellis RJ, Letendre S, Videen JS, McCutchan JA, Patterson TL, et al. (2005) Brain mitochondrial injury in human immunodeficiency virus-seropositive (HIV+) individuals taking nucleoside reverse transcriptase inhibitors. J Neurovirol 11:356–364 [DOI] [PubMed] [Google Scholar]
  43. Smurzynski M, Wu K, Letendre S, Robertson K, Bosch RJ, Clifford DB, Evans S, Collier AC, Taylor M, Ellis R. (2011) Effects of central nervous system antiretroviral penetration on cognitive functioning in the ALLRT cohort. AIDS 25:357–365 [DOI] [PMC free article] [PubMed] [Google Scholar]
  44. Tashima KT, Caliendo AM, Ahmad M, Gormley JM, Fiske WD, Brennan JM, Flanigan TP. (1999) Cerebrospinal fluid human immunodeficiency virus type 1 (HIV-1) suppression and efavirenz drug concentrations in HIV-1-infected patients receiving combination therapy. J Infect Dis 180:862–864 [DOI] [PubMed] [Google Scholar]
  45. Tozzi V, Balestra P, Bellagamba R, Corpolongo A, Salvatori MF, Visco-Comandini U, Vlassi C, Giulianelli M, Galgani S, Antinori A, et al. (2007) Persistence of neuropsychologic deficits despite long-term highly active antiretroviral therapy in patients with HIV-related neurocognitive impairment: prevalence and risk factors. J Acquir Immune Defic Syndr 45:174–182 [DOI] [PubMed] [Google Scholar]
  46. Valcour V, Paul R, Neuhaus J, Shikuma C. (2011a) The effects of age and HIV on neuropsychological performance. J Int Neuropsychol Soc 17:190–195 [DOI] [PMC free article] [PubMed] [Google Scholar]
  47. Valcour V, Shikuma C, Shiramizu B, Watters M, Poff P, Selnes O, Holck P, Grove J, Sacktor N. (2004) Higher frequency of dementia in older HIV-1 individuals: the Hawaii Aging with HIV-1 Cohort. Neurology 63:822–827 [DOI] [PMC free article] [PubMed] [Google Scholar]
  48. Valcour V, Sithinamsuwan P, Letendre S, Ances B. (2011b) Pathogenesis of HIV in the central nervous system. Curr HIV/AIDS Rep 8:54–61 [DOI] [PMC free article] [PubMed] [Google Scholar]
  49. Vivithanaporn P, Heo G, Gamble J, Krentz HB, Hoke A, Gill MJ, Power C. (2010) Neurologic disease burden in treated HIV/AIDS predicts survival: a population-based study. Neurology 75:1150–1158 [DOI] [PMC free article] [PubMed] [Google Scholar]
  50. Ward BA, Gorski JC, Jones DR, Hall SD, Flockhart DA, Desta Z. (2003) The cytochrome P450 2B6 (CYP2B6) is the main catalyst of efavirenz primary and secondary metabolism: implication for HIV/AIDS therapy and utility of efavirenz as a substrate marker of CYP2B6 catalytic activity. J Pharmacol Exp Ther 306:287–300 [DOI] [PubMed] [Google Scholar]
  51. Wheeler D, Knapp E, Bandaru VV, Wang Y, Knorr D, Poirier C, Mattson MP, Geiger JD, Haughey NJ. (2009) Tumor necrosis factor-α-induced neutral sphingomyelinase-2 modulates synaptic plasticity by controlling the membrane insertion of NMDA receptors. J Neurochem 109:1237–1249 [DOI] [PMC free article] [PubMed] [Google Scholar]
  52. Winston A, Duncombe C, Li PC, Gill JM, Kerr SJ, Puls R, Petoumenos K, Taylor-Robinson SD, Emery S, Cooper DA, et al. (2010) Does choice of combination antiretroviral therapy (cART) alter changes in cerebral function testing after 48 weeks in treatment-naive, HIV-1-infected individuals commencing cART? A randomized, controlled study. Clin Infect Dis 50:920–929 [DOI] [PubMed] [Google Scholar]
  53. Xu H, Bae M, Tovar-y-Romo LB, Patel N, Bandaru VV, Pomerantz D, Steiner JP, Haughey NJ. (2011) The human immunodeficiency virus coat protein gp120 promotes forward trafficking and surface clustering of NMDA receptors in membrane microdomains. J Neurosci 31:17074–17090 [DOI] [PMC free article] [PubMed] [Google Scholar]

Articles from The Journal of Pharmacology and Experimental Therapeutics are provided here courtesy of American Society for Pharmacology and Experimental Therapeutics

RESOURCES