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. Author manuscript; available in PMC: 2017 Jun 1.
Published in final edited form as: J Neuroimmune Pharmacol. 2016 Apr 2;11(2):348–357. doi: 10.1007/s11481-016-9667-8

Effects of morphine on behavioral task performance in SIV-infected Rhesus macaques

Joanne K Marcario 1,Ψ, Gurudutt Pendyala 2,Ψ, Mariam Riazi 1, Kandace Fleming 3, Janet Marquis 3, Shannon Callen 4, Steven J Lisco 2, Stephen C Fowler 5, Paul D Cheney 1,*, Shilpa J Buch 4,*
PMCID: PMC4848131  NIHMSID: NIHMS774842  PMID: 27039332

Abstract

The abuse of opiates such as morphine in synergy with HIV infection not only exacerbates neuropathogenesis but significantly impacts behavioral attributes in HIV infected subjects. Thus, the goal of the current study was to characterize behavioral perturbations in rhesus macaques subjected to chronic morphine and SIV infection.

Specifically, we assessed three behavioral tasks: motor skill (MS), forelimb force (FFT) and progressive ratio (PR) tasks. After collecting baseline control data (44 weeks) and data during the morphine-only dependency period (26 weeks), a subset of animals were productively infected with neurovirulent strains of SIVmac (R71/E17) for an additional 33 weeks. A general pattern in the results is that behavioral decline occurred with high CSF viral loads but not necessarily with high plasma viral loads. Compared to saline controls, all treated animals showed significant decreases in performance on all three behavioral tasks during the morphine-only dependency period. During the post infection period, only the morphine plus SIV group showed a significant further decline and this only occurred for the MS task. Taken together, these data demonstrate a clear effect of morphine to produce behavioral deficits and also suggest that morphine can act synergistically with SIV/HIV to exacerbate behavioral deficits.

Keywords: SIV, AIDS, morphine, motor skill, forelimb force, progressive ratio, behavior

INTRODUCTION

Chronic Human immunodeficiency virus (HIV) infection of the central nervous system (CNS) has been attributed to a spectrum of cognitive neuropathologies collectively referred to as HIV associated neurocognitive disorders (HAND) (Crews et al., 2009; Shapshak et al., 2011). These spectra range from asymptomatic neurocognitive impairment (ANI), minor cognitive motor disorder (MCMD) to the most severe HIV encephalitis (HIVE) (Woods et al., 2009). Although the advent of combined anti-retroviral therapy (cART) has significantly reduced the prevalence and mortality of HIVE, incidence of other forms especially ANI and MCMD are on a rise significantly impacting the quality of life in HIV+ subjects (Dore et al., 1999; Masliah et al., 2000; Gray et al., 2003). Adding a further layer of complexity is the aspect of drug abuse by these subjects thus increasing comorbidity. Opioids are the major addictive drugs of choice of which heroin and its active metabolite morphine are widely abused by HIV+ subjects. While chronic dependence on opioids leads to dependence, cessation leads to withdrawal symptoms (Rahim et al., 2004). In terms of central nervous system dysfunction associated with HIV infection, previous studies have documented significant evidence for opioids in exacerbating HIV neuropathogenesis. HIV+ subjects dependent on opioids show severe neuropathology compared to infected non-drug users (Bell et al., 1996; Bell et al., 2006; Anthony et al., 2008; Banerjee et al., 2011; Hauser et al., 2012).

While detailed mechanisms elucidating the role of morphine in exacerbating HAND is still under investigation, studies have documented evidence for increased activity of glial cells such as microglia and astrocytes in the presence of morphine and HIV proteins (Bruce-Keller et al., 2008; Turchan-Cholewo et al., 2009). In addition, opioid-mediated injury in synergy with HIV infection has documented a role for μ-opioid receptors (MOR) in an in vitro model to further enhance morphine-Tat mediated neurotoxicity (Turchan-Cholewo et al., 2008). Also, there is mounting evidence from previous studies that elevated amounts of opioids in circulation augment progression to AIDS in HIV+ subjects (Donahoe and Vlahov, 1998; Bell et al., 2006). Despite these emerging mechanisms associated with HIV and morphine synergy in exacerbating HAND, a significant gap exists in understanding the behavioral deficits associated with this synergy. The current study using a non-human primate model was designed to determine whether chronic administration of morphine to simian immunodeficiency virus (SIV)-infected rhesus macaques would lead to behavioral perturbations. Specifically, we assessed three behavioral tasks: motor skill (MS), forelimb force (FFT) and progressive ratio (PR) tasks. While the morphine alone treated animals showed significant decreases in performance on the three behavioral tasks during the control period compared to the saline controls, during the post infection period, morphine in conjunction with SIV showed a significant decline in the MS task that was greater than that from morphine or virus alone. Taken together, these data suggest an important role for morphine in producing behavioral deficits and accelerating deficits in synergy with SIV/HIV infection.

METHODS AND MATERIALS

Subjects

Sixteen male rhesus monkeys (Macaca mulatta) of Indian origin were used in this study. All monkeys were herpes B virus negative, specific pathogen-free, from the same colony, approximately the same age (6-7 years), and raised under the same conditions. Animals were individually housed in an Association for Assessment and Accreditation of Laboratory Animal Care (AAALAC) accredited facility of the University of Kansas Medical Center (KUMC). All sixteen macaques were behaviorally trained to perform 3 different behavioral tasks: 1) motor skill (MS), 2) forelimb force (FFT), and 3) progressive ratio (PR). Animals were randomly assigned to three groups: (M) morphine treatment only (n=5); (V) SIV infected (n=5) and (MV) morphine treated plus SIV infected (n=6).

Morphine Injection & viral infection

Morphine injection and viral infection regimens used in the current study have been reported in our previous work (Marcario et al., 2008; Riazi et al., 2009). Our morphine regimen was based on a protocol introduced by (Seevers MH, 1963) and used by others (Aceto et al., 1977; Aceto et al., 1981) for establishing dependence. They concluded that 3 mg/kg sc given at 6 hour intervals (4 /day) produced maximal morphine dependence. We used a similar protocol but with a maximal dose of 2.5 mg/kg sc given at 6 hour intervals. Although this daily dose level (10 mg/kg/day) is lower than that used in some previous studies, there is no doubt that it produced robust drug dependence. For example, Becker et al., used a similar dose (11.2 mg/kg/day) to study morphine withdrawal in rhesus macaques (Becker et al., 2008). To confirm morphine dependence with our dosing protocol, withholding morphine in an animal that was part of a different cohort precipitated severe withdrawal symptoms.

Our study consisted of three analysis periods: period 1 - a baseline control period where no treatments were given; period 2 - morphine administration with established dependence; period 3 - viral inoculation with productive infection. The animals in groups M and VM received morphine injections (2.5 mg/kg) administered IM four times daily at 6-h intervals via a 1-ml syringe with a 27.5G needle during the morphine and viral infection time blocks. All animals in group V were given sham injections of saline equal in volume to the 2.5 mg/kg of morphine. Injection sites were rotated, so that the left and right legs each received 2 injections a day, 12 hours apart. To establish dependence, the morphine dose was increased in small increments from 1 mg/kg in week 1 to 2.5 mg/kg in week 17. The 2.5 mg/kg dose was then maintained for the duration of the experiment. After a 26-week period of treatment with morphine and morphine-only data collection, the animals in Groups VM and V were inoculated in the bone marrow with SIVmacR71/17E. Morphine treatment was continued in the M and VM animals throughout the study period. After inoculation, weights were taken every 2 weeks, and the morphine and saline doses were adjusted accordingly. Over the course of the study, only two monkeys lost weight (6% and 7%). All other monkeys gained weight. The animals were monitored for progression of infection for a 33-week observation period. The institutional animal care and use committee at KUMC approved all experimental protocols. Information on the course of disease progression post SIV infection along with changes in viral load, CD4, CD8 including changes in the periphery have been outlined in detail in a previous publication (Marcario et al., 2008).

Behavioral Tasks

Motor Skill Task (MS)

This task is detailed in our previous work (Marcario, et al., 1999). It provides a sensitive measure of distal and proximal movement skill, reaching accuracy, and hand-eye coordination. Successful performance required the monkey to retrieve a food pellet from a cup in a rotating Plexiglas disk. The monkey was tested for 10 trials at each speed, incrementing the speed by 5 RPM after each set. The speed at which the monkey quit working or had a success rate less than 50% was recorded as the maximum speed for the session.

Progressive Ratio Task (PR)

This task measures the reinforcing efficacy of the behavioral reward (food pellets), level of motivation, and the attention span of the subject. A large cyan target was presented in the middle of a computer touch screen. The monkey had to touch the target once, then twice, then three times, etc. (arithmetic progression), to receive a single food pellet as a reward after each sequence of touches. The number of touches the monkey made before receiving a reward was recorded. If the monkey did not touch the screen for 3 minutes, the task aborted. Each session was 10 minutes long.

Forelimb Force Task (FFT)

An isometric force transducer, was integrated into the behavioral apparatus as a “button” mounted on a vertical panel, and was used to measure force generated by the forelimb. Trials were self-initiated by the monkey and required depressing the “button” for a hold time of 4 seconds within a pre-determined force range. The monkey received auditory feedback (a tone) and visual feedback (a yellow light) when he was in the target force range. Pressing the button outside the allowed force range did not initiate a tone. In addition, a green light illuminated at the start of each trial and when too little force was used, and a red light illuminated if too much force was used. In either case, the trial aborted without a reward. Correct trials were rewarded with a food pellet. Task performance was quantified as the number of successful trials in a test session. This task required precision of visuo-motor coordination, like the motor skill task, but differed in its emphasis on accurate sustained tonic force generation as opposed to the rapid ballistic type movements required for the motor skill task.

Statistical methods

The p values for statistical tests were calculated using SAS. A type I error of 5% was used for determining statistical significance. Wilcoxon–Mann–Whitney tests conducted with SPSS were used to determine if there were group (VM, V) differences on outcomes of interest as well as within group changes from the baseline to the morphine period (Table 1). For the analysis of the effects of morphine on task performance, the VM and M animals were combined because the VM animals had not yet been infected and were essentially the same as the M animals. Similarly, the V animals were not yet infected and served as untreated controls.

TABLE 1.

Summary of Statistical Comparisons

Variables analyzed Analysis Groups Number of
animals
p values1
(2 tailed)
Effects of Morphine on Task
Performance
Group Differences in Morphine
Period
 - Motor Skill Task (VM and M vs. V) 11, 5 0.487
 - Progressive Ratio Task (VM and M vs. V) 11, 5 0.002*
 - Forelimb Force Task (VM and M vs. V) 11, 5 0.069

Within Group Change from
Baseline to Morphine Period 1
 - Motor Skill Task VM and M 11 0.833
 - Progressive Ratio Task VM and M 11 0.003*
 - Forelimb Force Task VM and M 11 0.012*

Effects of SIV on Task
Performance
p values2 Group Comparisons
(p values1)

Motor Skills Group
Comparisons
M-V M-VM V-VM
 - period 3 avg weeks 1 & 2 M, V, VM 5, 5, 6 0.057
 - period 3 avg weeks 3 & 4 M, V, VM 5, 5, 6 0.122
 - avg of the last 3 weeks M, V, VM 5, 5, 6 0.049* 0.264 0.052 0.006*
 - final data point M, V, VM 5, 5, 6 0.044* 0.171 0.072 0.006*

Progressive Ratio Task Group
Comparisons
 - period 3 avg weeks 1 & 2 M, V, VM 5, 5, 6 0.007* 0.002* 0.418 0.003*
 - period 3 avg weeks 3 & 4 M, V, VM 5, 5, 6 0.031* 0.003* 0.186 0.049*
 - avg of last 3 weeks M, V, VM 5, 5, 6 0.025* 0.006* 0.433 0.009*
 - final data point M, V, VM 5, 5, 6 0.039* 0.004* 0.246 0.037*

Forelimb Force Task Group
Comparison
 - period 3 avg weeks 1 & 2 M, V, VM 5, 5, 6 0.021* 0.006* 0.476 0.006*
 - period 3 avg weeks 3 & 4 M, V, VM 5, 5, 6 0.044* 0.006* 0.197 0.051
 - avg of last 3 weeks M, V, VM 5, 5, 6 0.310
 - final data point M, V, VM 5, 5, 6 0.897
*

Statistically significant

1

Wilcoxon-Mann-Whitney test

2

Kruskal-Wallis test

For the analysis of SIV effects on task performance and its interaction with morphine, the M, VM and V animals were treated as separate groups. For this analysis, Kruskal–Wallis tests were used, and once again the significance of the effect of group was of primary interest. For questions involving trends over time, mixed models were evaluated using SAS Proc Mixed with an effect for group and an effect for time. For questions involving trends over time, mixed models were evaluated using SAS Proc Mixed with an effect for group and an effect for time. A summary of statistical comparisons for the behavioral analysis is presented in Table 1.

A separate correlational analysis was performed using Pearson’s product-moment correlation to test for relationships between plasma and CSF viral load versus decrements in behavioral performance. Behavioral tasks and treatment group (VM and V) were analyzed separately. Terminal viral load and associated terminal behavioral performance were used for the analysis. Terminal behavioral performance typically included averaging data over the final 3-7 weeks of behavioral performance. The percent decrement in performance compared to the pretreatment baseline was calculated and correlated with plasma and CSF viral load.

RESULTS

Behavioral task performance during the morphine period

Task performance during the morphine dependency period (period 2) was compared to the control period (period 1) for animals that received morphine (groups M and VM, n=11) versus the saline control animals (group V, n=5). Difference scores from task measures were calculated using the average of the last five weeks of the morphine period minus the average of the last five weeks of the baseline period. Raw data plotted over time across all the analysis periods for the motor skill task, progressive ratio task and forelimb force task are shown in Figures 1, 2, and 3 respectively. Mann-Whitney tests for two independent samples were used to compare difference scores of animals in the morphine condition to animals in the saline condition (Table 1). In all 3 tasks (MS, PR and FFT), the morphine group had greater performance declines than animals receiving only saline, however, this difference only reached statistical significances for the PR task (p = 0.002)

Figure 1.

Figure 1

Motor Skill (MS) task performance for individual monkeys across all experimental groups. This task required the monkey to retrieve a food pellet from a cup in a rotating Plexiglas disk. The speed at which the monkey quit working or had a success rate less than 50% was recorded as the maximum speed for the session. Each data point represents the average of one week’s worth of data. The black vertical line in each plot indicates the beginning of morphine administration; the red vertical line indicates the date of inoculation with SIV. Individual monkeys are identified by numbers given below each graph.

Figure 2.

Figure 2

Progressive Ratio (PR) task performance for individual monkeys across all experimental groups. This task required the monkey to touch the target once, then twice, then three times, etc. (arithmetic progression), to receive a single food pellet as a reward after each sequence of touches. The number of touches the monkey made before receiving a reward was recorded. Each data point represents the average of one week’s worth of data. The black vertical line in each plot indicates the beginning of morphine administration; the red vertical line indicates the date of inoculation with SIV. Individual monkeys are identified by numbers given below each graph.

Figure 3.

Figure 3

Forelimb Force (FFT) task performance for individual monkeys across all experimental groups.. This task required the monkey to depress a force sensitive button for a hold time of 4 seconds and maintain it within a pre-determined force range. Failure to maintain force in the prescribed range resulted in the trial being aborted without a reward. Task performance was quantified as the number of successful trials in a test session. Each data point represents the average of one week’s worth of data. The black vertical line in each plot indicates the beginning of morphine administration; the red vertical line indicates the date of inoculation with SIV. Individual monkeys are identified by numbers given below each graph.

Performance during the morphine dependency period versus the control period was also analyzed within groups (Table 1). The last five weeks of both periods were averaged and used as the test variables. Wilcoxon Signed Ranks tests were used to determine significant differences. There were no significant differences for the MS task. However, there were significant performance declines for groups VM and M on the PR (p = 0.003) and FFT (p = 0.012) tasks.

Behavior task performance during the SIV infection period

Task performance during the post-infection period (period 3) was analyzed by comparing across all three groups (VM, V, M) based on four dependent variables for each of the three tasks: the average of weeks 1 and 2 in period 3; the average of weeks 3 and 4 in period 3; the average of the last 3 weeks in period 3; the last data point in period 3 (Table 1). Kruskall-Wallis tests for k-independent samples were run to test each of the four independent variables on each of the three tasks. Significance does not necessarily mean that all groups were different from each other but only that the median for one group differs from the median of at least one other group. Mann-Whitney analysis was then used to test differences in pairwise comparisons between groups M and V, groups M and VM, and groups V and VM for all three behavioral tasks where significance was obtained on the Kruskall-Wallis test (Group Comparison columns in Table 1).

For the MS task, there was a significant difference between groups V and VM for the final 3 weeks in period 3 (p = 0.006) and the final data point (p = 0.006) where the motor skill score for V animals was 2.4 times (better than) that of the VM animals in both cases. There were no significant differences between groups M and VM, although the average of the last 3 weeks came very close to achieving significance with the score for M animals at 2 times (better) that for VM animals. There were no significant differences between Groups M and V for any of the analysis periods examined.

For the PR task, there was a significant difference between groups for all 4 analyses (Table 1; period 3 average of weeks 1 & 2, average of weeks 3 & 4, average of last 3 weeks and final data point). Pairwise comparisons showed a significant difference between groups V and VM for all four analyses (p = 0.003; 0.049; 0.009; 0.037, respectively in the order listed above). The performance scores of the V animals were respectively 2.4, 1.6, 2.1 and 1.7 times (better than) that of the VM animals. There were also significant differences between groups M and V for all four analyses (p = 0.002; 0.003; 0.006; 0.004, respectively). In this case, the respective performance score differences for V animals were 2.5, 2.6, 2.2 and 2.4 times that of the M animals. There were no significant differences between groups M and VM for any analysis (p = 0.418; 0.186; 0.433; 0.246, respectively).

For the FFT task, there was a significant difference between groups M and V for the average of weeks 1 & 2 (p = 0.006) and weeks 3 & 4 (p = 0.006) where V animal scores were 2.2 and 2.4 times (better than) those of the M animals. There was also a significant different difference between groups V and VM for the average of weeks 1 & 2 (p = 0.006) where V animal scores were 2.2 times those of VM animals. There were no significant differences between groups M and VM for any of the analysis periods examined.

Synergistic effects of morphine + SIV on behavioral performance

Table 2 gives the percent decline in performance on each task for each group, based on the difference between performance in period 1 (control period) vs. period 3 (post-infection period). Negative percentages reflect declines in task performance in period 3 relative to period 1. In the MS task, changes in performance were: group M, 0.2%; group V, −8.4% and group VM, −26.8%. In the PR task, changes in performance were: group M, −71.5%; group V, −18.0% and group VM, −71.9%. In the FFT task, changes in performance were: group M, −39.8%; group V, −26.0% and group VM, −46.9%. These results suggest a synergistic effect between morphine and SIV for the MS task in that the sum of the performance declines for the morphine and virus treatments alone are much less than the combined treatment. Performance declines in the FFT task were substantially greater in VM animals than either V or M animals but did not exceed the sum of declines for the V and M animals. In the PR task, M and VM animals showed a similar level of decline that far exceeded the decline in V animals suggesting that in this task performance declines could be attributed largely to the effects of morphine.

TABLE 2. Synergistic Effect of Morphine and SIV.

Percent Decline for Each Group on Performance Tasks

Group Means Morphine SIV Morphine and SIV

Motor Skills Period 1 125.2 129.2 127.7
Period 3 125.4 118.4 93.5

Difference 0.2 −10.8 −34.2
% Difference 0.2% −8.4% −26.8%

Progressive Ratio Period 1 22.8 22.8 25.8
Period 3 6.5 18.7 7.3

Difference −16.3 −4.1 −18.6
% Difference −71.5% −18.0% −71.9%

Forelimb Force Period 1 36.4 40.0 38.2
Period 3 21.9 29.6 20.3

Difference −14.5 −10.4 −17.9
% Difference −39.8% −26.0% −46.9%

Correlations between viral load and behavioral performance

Data for the VM and V groups were analyzed separately for each behavioral task. Correlations obtained for CSF viral load and performance decrements in the PR and PPT tasks were significantly different from 0 (Table 3). The correlation coefficients for other comparisons, particularly those with CSF viral load, were not significantly different from 0 but the limited number of data points constrained the statistical analysis. To increase the number of data points, we collapsed the data together across behavioral tasks to compare behavioral decrements regardless of task type to load levels. In this analysis, correlations between behavioral decrements and CSF viral load were significantly different from 0 for both the V and VM groups. Plasma viral load was related to behavioral decrement for the V group but not the VM group. The results establish a relationship between SIV load, particularly CSF viral load, and decline in behavioral performance. A general pattern in the results is that behavioral decline was associated with high CSF viral loads but not necessarily with high plasma viral loads.

Table 3.

Viral load behavioral performance correlations

VM group (n=6) Correlation
Coefficient
p-value
Motor skill task vs plasma viral
load
−0.045 0.933
Motor skill task vs CSF viral load 0.532 0.227
FFT task vs plasma viral
load
−0.451 0.369
FFT task vs CSF viral load 0.578 0.230
PR task vs plasma viral
load
−0.398 0.435
PR task vs CSF viral load 0.712 0.113
V only group (n=5)
Motor skill task vs plasma viral
load
0.765 0.132
Motor skill task vs CSF viral load 0.527 0.361
FFT task vs plasma viral
load
0.108 0.863
*FFT task vs CSF viral load 0.999 < 0.001
PR task vs plasma viral
load
0.768 0.129
*PR task vs CSF viral load 0.985 0.002
VM, all tasks
lumped
vs plasma viral
load
−0.281 0.259
*vs CSF viral load 0.543 0.020
V only, all tasks
lumped
*vs plasma viral
load
0.790 0.003
*vs CSF viral load 0.825 < 0.001
*

statistically significant correlations; all correlations based on Pearson’s product-moment correlation analysis with p=0.05 as the significance level.

Viral load data from Marcario et al. (2008).

DISCUSSION

Neurological complications such as increased cognitive deficits and behavioral impairments have been shown in HIV-infected subjects dependent on opiates compared to HIV-infected non-drug abusers (Bell et al., 1996; Chiesi et al., 1996; Bell et al., 1998; Goodkin et al., 1998; Nath et al., 2001; Bell et al., 2006; Anthony et al., 2008; Hellmuth et al., 2014) and in SIV infected macaques (Marcario et al., 1999a; Marcario et al., 1999b; Fox et al., 2000; Weed and Gold, 2001; Weed et al., 2003; Weed et al., 2004; Cheney et al., 2008). Previous studies from our group have shown that morphine potentiates neuropathognesis in macaques infected with SIV mac R71/17E (Marcario et al., 2008; Bokhari et al., 2011). Such morphine mediated viral pathogenesis also resulted in alterations in brain stem responses and visual evoked potentials (Raymond et al., 1998; Cheney et al., 2008; Riazi et al., 2009). In the current study we assessed behavioral task performance using three groups of Indian rhesus macaques chronically treated with morphine to establish dependence and then infected with SIVmac R71/17E.

When comparing the control period (period 1) to the morphine dependency period (period 2), in all 3 tasks (MS, PR and FFT), the animals receiving morphine showed greater performance declines than the animals receiving saline. However, this difference only achieved statistical significance for the PR task (p = 0.02). This finding is consistent with other studies showing preferential performance declines from morphine on tasks relying on motivation, such as the PR task, as well as tasks dependent on learning and time perception (Schulze and Paule, 1991).

Analysis of behavioral performance during the infection period revealed significant performance losses on all three tasks and in all time periods of comparison in the VM animals compared to the V animals. The only exception was the final data point analysis in the FFT task where the p value just missed significance (0.051). There were no significant differences in comparisons of the VM and M animals. The M animals showed significant performance losses compared to the V animals on all behavioral tasks and at all time periods tested for the PR and FFT tasks. It was somewhat surprising that the M and V animals were not different on the MS task. This may reflect the greater need for sustained attention to perform the PR and FFT tasks compared to the MS task.

It might be argued that all these findings could be explained by the effects of morphine on attention and motivation. However, the performance of each group during the infection period compared to the control period shows some interesting results. First, all three groups (V, M, VM) showed performance declines on all three tasks with the exception of the M group on the MS task. On the PR and FFT tasks, the M group monkeys showed behavioral performance losses of 71.5% and 39.8% respectively. The V group monkeys showed performance decrements ranging from 8.4 – 26% depending on the task and the MV group showed declines of 26.8 – 71.9%. Is there evidence of a synergistic interaction of morphine with SIV? In most cases, the behavioral performance losses of the MV group could not be described as synergistic. However, on the MS task, the MV group decline was 26.8%, which was much greater than the loss on the same task of the M and V monkeys combined. Hence it seems reasonable to conclude that in this case there is a synergistic interaction between morphine and SIV resulting in a greater decline in performance than would have been expected from the behavioral decrements associated with virus or morphine alone. However, we acknowledge that this conclusion must be tempered by the relatively small sample size and the lack of dose-response curves.

The behavioral deficits presented in this paper complement earlier work that looking at physiological mechanisms underlying the synergy between HIV/SIV infection and morphine dependence. Some of these include alterations in HIV-1 co-receptors and chemokines. For example activation of CC-chemokine receptor 5 (CCR5) by its ligand CCL5 regulates the pathogenesis of HIV/SIV infection (Sasseville et al., 1996; El-Hage et al., 2008). Earlier studies have shown an increase in CCL5 expression in astrocytes treated with the viral protein Tat (El-Hage et al., 2005) (59) as well as increase in CCR5 expression in the astrocytes by morphine (Mahajan et al., 2005) (49). Such changes in chemokines and their receptors by morphine have been shown to lead to aberrant signaling mechanisms (Malik et al., 2011) as well as inducing high rates of apoptosis (Nair et al., 1997; Reddy et al., 2012) further exacerbated by HIV (Hu et al., 2005; Hauser et al., 2009; Malik et al., 2011). The consequence of these changes in HAND subjects dependent on morphine is enhanced neuropathogenesis and subsequent behavioral deficits. In conclusion, while morphine alone produces significant behavioral decrements, morphine dependence intersects with SIV infection to produce more severe behavioral impairments in some domains than either morphine or virus alone. The results support our previous findings suggesting a significant detrimental effect of SIV/HIV infection in the setting of opiate dependence. Targeting such physiological mechanisms could further help develop therapeutic interventions to treat behavioral impairments associated with the HIV/SIV and morphine synergy.

ACKNOWLEDGEMENTS

We thank Sarah Karina, Glaukia Cavalcanti and Kip Fogle for contributing to the behavioral training, data analysis and morphine/saline injections; Heather Hudson and Darcy Griffin for helping with the morphine/saline injections; Dr. Zhuang Li for necropsy support and morphine/saline injections; Dr. Nathan Culley for veterinary care; Dr. David Pinson for pathological analyses; Don Warn for help with the figures and Ian Edwards and James Rengel (deceased) for engineering support.

Funding for this study was supported by National Institutes of Health (NIH) grant DA12827 and the Kathleen M. Osborn Endowment to PDC, NIH Center grant HD02528 and NIH grants DA020392, DA023397 and DA024442 to SJB.

Footnotes

All authors declare no conflict of interest.

REFERENCES

  1. Aceto MD, Flora RE, Harris LS. The effects of naloxone and nalorphine during the development of morphine dependence in rhesus monkeys. Pharmacology. 1977;15:1–9. doi: 10.1159/000136657. [DOI] [PubMed] [Google Scholar]
  2. Aceto MD, Harris LS, Dewey WL, May EL. Annual report: dependence studies of new compounds in the rhesus monkey (1980) NIDA research monograph. 1981;34:297–326. [PubMed] [Google Scholar]
  3. Anthony IC, Arango JC, Stephens B, Simmonds P, Bell JE. The effects of illicit drugs on the HIV infected brain. Frontiers in bioscience : a journal and virtual library. 2008;13:1294–1307. doi: 10.2741/2762. [DOI] [PubMed] [Google Scholar]
  4. Banerjee A, Strazza M, Wigdahl B, Pirrone V, Meucci O, Nonnemacher MR. Role of mu-opioids as cofactors in human immunodeficiency virus type 1 disease progression and neuropathogenesis. Journal of neurovirology. 2011;17:291–302. doi: 10.1007/s13365-011-0037-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
  5. Becker GL, Gerak LR, Koek W, France CP. Antagonist-precipitated and discontinuation-induced withdrawal in morphine-dependent rhesus monkeys. Psychopharmacology. 2008;201:373–382. doi: 10.1007/s00213-008-1293-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
  6. Bell JE, Arango JC, Anthony IC. Neurobiology of multiple insults: HIV-1-associated brain disorders in those who use illicit drugs. Journal of neuroimmune pharmacology : the official journal of the Society on NeuroImmune Pharmacology. 2006;1:182–191. doi: 10.1007/s11481-006-9018-2. [DOI] [PubMed] [Google Scholar]
  7. Bell JE, Brettle RP, Chiswick A, Simmonds P. HIV encephalitis, proviral load and dementia in drug users and homosexuals with AIDS. Effect of neocortical involvement. Brain : a journal of neurology. 1998;121(Pt 11):2043–2052. doi: 10.1093/brain/121.11.2043. [DOI] [PubMed] [Google Scholar]
  8. Bell JE, Donaldson YK, Lowrie S, McKenzie CA, Elton RA, Chiswick A, Brettle RP, Ironside JW, Simmonds P. Influence of risk group and zidovudine therapy on the development of HIV encephalitis and cognitive impairment in AIDS patients. Aids. 1996;10:493–499. doi: 10.1097/00002030-199605000-00007. [DOI] [PubMed] [Google Scholar]
  9. Bokhari SM, Hegde R, Callen S, Yao H, Adany I, Li Q, Li Z, Pinson D, Yeh HW, Cheney PD, Buch S. Morphine potentiates neuropathogenesis of SIV infection in rhesus macaques. Journal of neuroimmune pharmacology : the official journal of the Society on NeuroImmune Pharmacology. 2011;6:626–639. doi: 10.1007/s11481-011-9272-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
  10. Bruce-Keller AJ, Turchan-Cholewo J, Smart EJ, Geurin T, Chauhan A, Reid R, Xu R, Nath A, Knapp PE, Hauser KF. Morphine causes rapid increases in glial activation and neuronal injury in the striatum of inducible HIV-1 Tat transgenic mice. Glia. 2008;56:1414–1427. doi: 10.1002/glia.20708. [DOI] [PMC free article] [PubMed] [Google Scholar]
  11. Cheney PD, Riazi M, Marcario JM. Behavioral and neurophysiological hallmarks of simian immunodeficiency virus infection in macaque monkeys. Journal of neurovirology. 2008;14:301–308. doi: 10.1080/13550280802116322. [DOI] [PubMed] [Google Scholar]
  12. Chiesi A, Vella S, Dally LG, Pedersen C, Danner S, Johnson AM, Schwander S, Goebel FD, Glauser M, Antunes F, et al. Epidemiology of AIDS dementia complex in Europe. AIDS in Europe Study Group. Journal of acquired immune deficiency syndromes and human retrovirology : official publication of the International Retrovirology Association. 1996;11:39–44. doi: 10.1097/00042560-199601010-00005. [DOI] [PubMed] [Google Scholar]
  13. Crews L, Patrick C, Achim CL, Everall IP, Masliah E. Molecular pathology of neuro-AIDS (CNS-HIV) International journal of molecular sciences. 2009;10:1045–1063. doi: 10.3390/ijms10031045. [DOI] [PMC free article] [PubMed] [Google Scholar]
  14. Donahoe RM, Vlahov D. Opiates as potential cofactors in progression of HIV-1 infections to AIDS. Journal of neuroimmunology. 1998;83:77–87. doi: 10.1016/s0165-5728(97)00224-5. [DOI] [PubMed] [Google Scholar]
  15. Dore GJ, Correll PK, Li Y, Kaldor JM, Cooper DA, Brew BJ. Changes to AIDS dementia complex in the era of highly active antiretroviral therapy. Aids. 1999;13:1249–1253. doi: 10.1097/00002030-199907090-00015. [DOI] [PubMed] [Google Scholar]
  16. El-Hage N, Bruce-Keller AJ, Knapp PE, Hauser KF. CCL5/RANTES gene deletion attenuates opioid-induced increases in glial CCL2/MCP-1 immunoreactivity and activation in HIV-1 Tat-exposed mice. Journal of neuroimmune pharmacology : the official journal of the Society on NeuroImmune Pharmacology. 2008;3:275–285. doi: 10.1007/s11481-008-9127-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
  17. El-Hage N, Gurwell JA, Singh IN, Knapp PE, Nath A, Hauser KF. Synergistic increases in intracellular Ca2+, and the release of MCP-1, RANTES, and IL-6 by astrocytes treated with opiates and HIV-1 Tat. Glia. 2005;50:91–106. doi: 10.1002/glia.20148. [DOI] [PMC free article] [PubMed] [Google Scholar]
  18. Fox HS, Weed MR, Huitron-Resendiz S, Baig J, Horn TF, Dailey PJ, Bischofberger N, Henriksen SJ. Antiviral treatment normalizes neurophysiological but not movement abnormalities in simian immunodeficiency virus-infected monkeys. The Journal of clinical investigation. 2000;106:37–45. doi: 10.1172/JCI9102. [DOI] [PMC free article] [PubMed] [Google Scholar]
  19. Goodkin K, Shapshak P, Metsch LR, McCoy CB, Crandall KA, Kumar M, Fujimura RK, McCoy V, Zhang BT, Reyblat S, Xin KQ, Kumar AM. Cocaine abuse and HIV-1 infection: epidemiology and neuropathogenesis. Journal of neuroimmunology. 1998;83:88–101. doi: 10.1016/s0165-5728(97)00225-7. [DOI] [PubMed] [Google Scholar]
  20. Gray F, Chretien F, Vallat-Decouvelaere AV, Scaravilli F. The changing pattern of HIV neuropathology in the HAART era. Journal of neuropathology and experimental neurology. 2003;62:429–440. doi: 10.1093/jnen/62.5.429. [DOI] [PubMed] [Google Scholar]
  21. Hauser KF, Fitting S, Dever SM, Podhaizer EM, Knapp PE. Opiate drug use and the pathophysiology of neuroAIDS. Current HIV research. 2012;10:435–452. doi: 10.2174/157016212802138779. [DOI] [PMC free article] [PubMed] [Google Scholar]
  22. Hauser KF, Hahn YK, Adjan VV, Zou S, Buch SK, Nath A, Bruce-Keller AJ, Knapp PE. HIV-1 Tat and morphine have interactive effects on oligodendrocyte survival and morphology. Glia. 2009;57:194–206. doi: 10.1002/glia.20746. [DOI] [PMC free article] [PubMed] [Google Scholar]
  23. Hellmuth J, Milanini B, Valcour V. Interactions between ageing and NeuroAIDS. Current opinion in HIV and AIDS. 2014;9:527–532. doi: 10.1097/COH.0000000000000104. [DOI] [PMC free article] [PubMed] [Google Scholar]
  24. Hu S, Sheng WS, Lokensgard JR, Peterson PK. Morphine potentiates HIV-1 gp120-induced neuronal apoptosis. The Journal of infectious diseases. 2005;191:886–889. doi: 10.1086/427830. [DOI] [PubMed] [Google Scholar]
  25. Mahajan SD, Schwartz SA, Aalinkeel R, Chawda RP, Sykes DE, Nair MP. Morphine modulates chemokine gene regulation in normal human astrocytes. Clinical immunology. 2005;115:323–332. doi: 10.1016/j.clim.2005.02.004. [DOI] [PubMed] [Google Scholar]
  26. Malik S, Khalique H, Buch S, Seth P. A growth factor attenuates HIV-1 Tat and morphine induced damage to human neurons: implication in HIV/AIDS-drug abuse cases. PloS one. 2011;6:e18116. doi: 10.1371/journal.pone.0018116. [DOI] [PMC free article] [PubMed] [Google Scholar]
  27. Marcario JK, Raymond LA, McKiernan BJ, Foresman LL, Joag SV, Raghavan R, Narayan O, Cheney PD. Motor skill impairment in SIV-infected rhesus macaques with rapidly and slowly progressing disease. Journal of medical primatology. 1999a;28:105–117. doi: 10.1111/j.1600-0684.1999.tb00258.x. [DOI] [PubMed] [Google Scholar]
  28. Marcario JK, Raymond LA, McKiernan BJ, Foresman LL, Joag SV, Raghavan R, Narayan O, Hershberger S, Cheney PD. Simple and choice reaction time performance in SIV-infected rhesus macaques. AIDS research and human retroviruses. 1999b;15:571–583. doi: 10.1089/088922299311097. [DOI] [PubMed] [Google Scholar]
  29. Marcario JK, Riazi M, Adany I, Kenjale H, Fleming K, Marquis J, Nemon O, Mayo MS, Yankee T, Narayan O, Cheney PD. Effect of morphine on the neuropathogenesis of SIVmac infection in Indian Rhesus Macaques. Journal of neuroimmune pharmacology : the official journal of the Society on NeuroImmune Pharmacology. 2008;3:12–25. doi: 10.1007/s11481-007-9085-z. [DOI] [PubMed] [Google Scholar]
  30. Masliah E, DeTeresa RM, Mallory ME, Hansen LA. Changes in pathological findings at autopsy in AIDS cases for the last 15 years. Aids. 2000;14:69–74. doi: 10.1097/00002030-200001070-00008. [DOI] [PubMed] [Google Scholar]
  31. Nair MP, Schwartz SA, Polasani R, Hou J, Sweet A, Chadha KC. Immunoregulatory effects of morphine on human lymphocytes. Clinical and diagnostic laboratory immunology. 1997;4:127–132. doi: 10.1128/cdli.4.2.127-132.1997. [DOI] [PMC free article] [PubMed] [Google Scholar]
  32. Nath A, Maragos WF, Avison MJ, Schmitt FA, Berger JR. Acceleration of HIV dementia with methamphetamine and cocaine. Journal of neurovirology. 2001;7:66–71. doi: 10.1080/135502801300069737. [DOI] [PubMed] [Google Scholar]
  33. Rahim RT, Feng P, Meissler JJ, Rogers TJ, Zhang L, Adler MW, Eisenstein TK. Paradoxes of immunosuppression in mouse models of withdrawal. Journal of neuroimmunology. 2004;147:114–120. doi: 10.1016/j.jneuroim.2003.10.024. [DOI] [PubMed] [Google Scholar]
  34. Raymond LA, Wallace D, Berman NE, Marcario J, Foresman L, Joag SV, Raghavan R, Narayan O, Cheney PD. Auditory brainstem responses in a Rhesus Macaque model of neuro-AIDS. Journal of neurovirology. 1998;4:512–520. doi: 10.3109/13550289809113495. [DOI] [PubMed] [Google Scholar]
  35. Reddy PV, Pilakka-Kanthikeel S, Saxena SK, Saiyed Z, Nair MP. Interactive Effects of Morphine on HIV Infection: Role in HIV-Associated Neurocognitive Disorder. AIDS research and treatment. 2012;2012:953678. doi: 10.1155/2012/953678. [DOI] [PMC free article] [PubMed] [Google Scholar]
  36. Riazi M, Marcario JK, Samson FK, Kenjale H, Adany I, Staggs V, Ledford E, Marquis J, Narayan O, Cheney PD. Rhesus macaque model of chronic opiate dependence and neuro-AIDS: longitudinal assessment of auditory brainstem responses and visual evoked potentials. Journal of neuroimmune pharmacology : the official journal of the Society on NeuroImmune Pharmacology. 2009;4:260–275. doi: 10.1007/s11481-009-9149-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
  37. Sasseville VG, Smith MM, Mackay CR, Pauley DR, Mansfield KG, Ringler DJ, Lackner AA. Chemokine expression in simian immunodeficiency virus-induced AIDS encephalitis. The American journal of pathology. 1996;149:1459–1467. [PMC free article] [PubMed] [Google Scholar]
  38. Schulze GE, Paule MG. Effects of morphine sulfate on operant behavior in rhesus monkeys. Pharmacology, biochemistry, and behavior. 1991;38:77–83. doi: 10.1016/0091-3057(91)90592-p. [DOI] [PubMed] [Google Scholar]
  39. Seevers MH, D GA. Physiological aspects of tolerance and physical dependence. In: Hofmann RWa., editor. Physiological Pharmacology. Academic Press; New York: 1963. pp. 565–570. [Google Scholar]
  40. Shapshak P, Kangueane P, Fujimura RK, Commins D, Chiappelli F, Singer E, Levine AJ, Minagar A, Novembre FJ, Somboonwit C, Nath A, Sinnott JT. Editorial neuroAIDS review. Aids. 2011;25:123–141. doi: 10.1097/QAD.0b013e328340fd42. [DOI] [PMC free article] [PubMed] [Google Scholar]
  41. Turchan-Cholewo J, Dimayuga FO, Ding Q, Keller JN, Hauser KF, Knapp PE, Bruce-Keller AJ. Cell-specific actions of HIV-Tat and morphine on opioid receptor expression in glia. Journal of neuroscience research. 2008;86:2100–2110. doi: 10.1002/jnr.21653. [DOI] [PMC free article] [PubMed] [Google Scholar]
  42. Turchan-Cholewo J, Dimayuga FO, Gupta S, Keller JN, Knapp PE, Hauser KF, Bruce-Keller AJ. Morphine and HIV-Tat increase microglial-free radical production and oxidative stress: possible role in cytokine regulation. Journal of neurochemistry. 2009;108:202–215. doi: 10.1111/j.1471-4159.2008.05756.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  43. Weed MR, Gold LH. Paradigms for behavioral assessment of viral pathogenesis. Advances in virus research. 2001;56:583–626. doi: 10.1016/s0065-3527(01)56039-x. [DOI] [PubMed] [Google Scholar]
  44. Weed MR, Gold LH, Polis I, Koob GF, Fox HS, Taffe MA. Impaired performance on a rhesus monkey neuropsychological testing battery following simian immunodeficiency virus infection. AIDS research and human retroviruses. 2004;20:77–89. doi: 10.1089/088922204322749521. [DOI] [PubMed] [Google Scholar]
  45. Weed MR, Hienz RD, Brady JV, Adams RJ, Mankowski JL, Clements JE, Zink MC. Central nervous system correlates of behavioral deficits following simian immunodeficiency virus infection. Journal of neurovirology. 2003;9:452–464. doi: 10.1080/13550280390218751. [DOI] [PubMed] [Google Scholar]
  46. Woods SP, Moore DJ, Weber E, Grant I. Cognitive neuropsychology of HIV-associated neurocognitive disorders. Neuropsychology review. 2009;19:152–168. doi: 10.1007/s11065-009-9102-5. [DOI] [PMC free article] [PubMed] [Google Scholar]

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