Abstract
Opiates, one of the oldest known drugs, are the benchmark for treating pain. Regular opioid exposure also induces euphoria making these compounds addictive and often misused, as shown by the current epidemic of opioid abuse and overdose mortalities. In addition to the effect of opioids on their cognate receptors and signaling cascades, these compounds also induce multiple adaptations at cellular and behavioral levels. As omega-3 polyunsaturated fatty acids (n-3 PUFAs) play a ubiquitous role in behavioral and cellular processes, we proposed that supplemental n-3 PUFAs, enriched in docosahexanoic acid (DHA), could offset these adaptations following chronic opioid exposure. We used an 8 week regimen of n-3 PUFA supplementation followed by 8 days of morphine in the presence of this diet. We first assessed the effect of morphine in different behavioral measures and found that morphine increased anxiety and reduced wheel-running behavior. These effects were reduced by dietary n-3 PUFAs without affecting morphine-induced analgesia or hyperlocomotion, known effects of this opiate acting at mu opioid receptors. At the cellular level we found that morphine reduced striatal DHA content and that this was reversed by supplemental n-3 PUFAs. Chronic morphine also increased glutamatergic plasticity and the proportion of Grin2B-NMDARs in striatal projection neurons. This effect was similarly reversed by supplemental n-3 PUFAs. Gene analysis showed that supplemental PUFAs offset the effect of morphine on genes found in neurons of the dopamine receptor 2 (D2)-enriched indirect pathway but not of genes found in dopamine receptor 1(D1)-enriched direct-pathway neurons. Analysis of the D2 striatal connectome by a retrogradely transported pseudorabies virus showed that n-3 PUFA supplementation reversed the effect of chronic morphine on the innervation of D2 neurons by the dorsomedial prefontal and piriform cortices. Together these changes outline specific behavioral and cellular effects of morphine that can be reduced or reversed by dietary n-3 PUFAs.
Introduction
Opioids are prescribed for pain relief but are also used to induce euphoria contributing to the increasing diversion of these readily available pharmaceutical compounds for non-medical use [1, 2]. In the last decade there has been an exponential rise in the abuse of prescription opioids which have become a gateway to heroin and fentanyl abuse [3]. Together these, and other synthetic opioids have led to a meteoric rise in overdose mortalities [2–8] making the development and use of suitable interventions to address this epidemic a priority of state and federal regulators [9, 10].
The initial rewarding effect of opioids creates a positive reinforcing stimulus that drives further opioid exposure to obtain the same euphoria. However, as opioid use continues and allostatic adaptations within reward and non-reward circuits occur, the drive to obtain further opioids changes to negative reinforcement. This type of reinforcement increases opioid-seeking behavior to escape the dysphoria between each drug exposure [11–13]. Coupled with opioid tolerance and dependence, symptoms typical of chronic opioid exposure, this leads to a state of negative affect with associated symptoms of anxiety and depression [14, 15].
Docosahexanoic acid (DHA) is an essential poly-unsaturated long chain fatty acid (PUFA; c22:6n-3) that is obtained from dietary sources, mostly from deep-sea fish that require long chain fatty acids to maintain membrane fluidity in cold temperatures. DHA is required for development [16] and is enriched in mammalian brains, particularly the grey matter where it is a structural component of plasma, microsomal and synaptic membranes [17, 18]. DHA is also involved in diverse cellular functions through recently identified receptors [19–23]. The beneficial effects of supplementary DHA for many conditions and diseases have been the subject of ongoing research. Of these, the possibility that dietary omega-3 supplementation relieves the anxiety and depression of many comorbid disorders is a recurring theme (reviews; [24–26]). Accordingly n-3 supplements enriched in DHA have been shown to reduce anxiety in preclinical [24, 27, 28] and clinical trials [25, 29–32].
We propose that chronic morphine will induce adaptations at the behavioral, cellular and circuitry levels that dietary n-3 PUFAs, enriched in DHA, will reduce. Furthermore, it is possible that the allostatic adaptations that are offset by supplemental n-3PUFAs may not be part of the known signaling cascades of this opiate. The objective of this study is to define the effect of morphine and dietary n-3 PUFAs on specific behavioral and cellular measures in a mouse model of chronic opioid exposure. We have used a range of techniques to define this interaction and conclude that n-3PUFAs may be beneficial in offsetting specific adaptations induced by chronic morphine.
Materials and methods
Animals
All the experiments were conducted in accordance with the AALAC Guide for the Care and Use of Laboratory Animals and approved by the UCLA IACUC committee. Wildtype C57BL/6J male (n = 55) or female (n = 8) mice were used for all experiments except the viral tracing experiment in which male C57BL/6J Drd2-cre (MMRC 032108-UCD, n = 17) mice were used.
Dietary and opioid interventions
Animals, 6–8 weeks of age at the start of the experiment, were maintained on a control lab chow diet containing 0.5% DHA (Control) alone or supplemented with 2.5% DHA, 1.1% EPA and 0.75% other omega-3 PUFAs, (Nordic Naturals, Watsonville, CA) for 8 weeks. We used a twice daily ascending (TDA) schedule of morphine injections over 8 days. This consisted of two injections 10-12h apart of 10, 20, 30, 40 mg/kg (10μl/g body weight) on days 1, 2, 3, 4 respectively followed by 50mg/kg on days 5, 6, 7, 8. Mice receiving saline underwent the same schedule of injections but saline (10μl/g body weight) was injected.
Behavioral tests
A battery of behavioral test were used to examine the effect of chronic morphine and n-3 PUFA supplementation. The data from all behavioral tests were analyzed using Prism (v6.0) with significance accepted at p<0.05.
i. Wheel-running
Spontaneous wheel running activity was measured in 14 mice (8 males and 6 females) after 8 weeks of DHA or control diet. Morphine or saline was injected by the TDA schedule and overnight wheel running activity assessed on days 1, 4 and 8. Statistical Analysis: The data were analyzed by one-way ANOVA with repeated measures and the Holm-Sidak post-hoc test to assess differences in the total distance run, and two-way ANOVA and the Holm-Sidak post-hoc test to assess the interaction of time (5’ bins) and intervention (control or DHA diets).
ii. Elevated Plus Maze (EPM)
Five hours after the last morphine injection, mice were placed in the central zone of the EPM; 21” height, 26” arm length, 3” arm width, at 10 lux, n = 6 male mice/group. Statistical Analysis: Behavior was video-tracked by an infrared camera and Ethovision (Noldus XT8.0) and time spent and number of entries in the outer half of the open arms assessed. The data were analyzed by 2-way ANOVA and the Holm-Sidak post-hoc test to assess the interaction of time (5’ bins) and intervention (control or DHA diets).
iii. Thermal analgesia
The analgesic effect of a single dose of morphine was assessed by the response to tail-immersion in warm water (49.5°C) in mice on the DHA or control diet for 8 weeks, n = 5 males/group. After a basal measure was taken, morphine (10mg/kg) was injected subcutaneously and, 30’ later, the time taken (s) to shake or remove the tail from the water measured. Statistical Analysis: The data were analyzed by the Student’s t-test to assess the effect of diet on baseline pain responses and by 2-way ANOVA and the Holm-Sidak post-hoc test to assess the effect of treatment and intervention (control or DHA diets).
iv. Locomotion
The initial locomotor effect of morphine and sensitization of this response was assessed after the first morphine injection of the day on days 1, 4 and 8 of the morphine injection protocol. Mice from DHA or control groups were initially placed in open field chambers (10.5x10.5”, 10 lux) for 15’, then injected with morphine or saline, the locomotor response assessed for the following 60’ and video-tracked by Ethovision, 5 male mice were used for each of the 4 groups. Statistical Analysis: The data were analyzed by 2-way ANOVA and the Holm-Sidak post-hoc test to assess the interaction of time (day) and intervention (control or DHA diets).
Gas chromatography
Total lipids from the striatum and frontal cortex from 5 male and 3 female mice were extracted after 8 weeks of the DHA diet according to the protocol by Bligh and Dyer [33]. Briefly, the tissues were homogenized with chloroform-methanol (2∶1 vol∶vol) including 0.005% butylated hydroxytoluene and tricosanoic acid methylester as an internal control. After centrifugation, the liquid was mixed with 0.9% NaCl and the chloroform layer collected and dried under nitrogen. Lipids were transmethylated (90°C for 1h) using 14 wt/v% Boron Trifluoride/methanol. Fatty acid composition was analyzed by gas chromatography (Clarus 500, PerkinElmer, Waltham, MA) equipped with an Elite-WAX column (PerkinElmer) with an injector and detector temperature of 250°C and 300°C respectively. Hydrogen was used as the carrier gas with a split ratio of 100∶1. Statistical analysis: Identified peaks were compared with standards (GLC Reference standard 682, Nu-Chek-Prep, Elysian, MN, and 37-component FAME mix, Sigma-Aldrich, Carlsbad) and data analyzed by 1-way ANOVA with post-hoc Tukey tests (Prizm v6).
qPCR
Total RNA was isolated from 1mm striatal punches pooled from both hemispheres (Direct-zol MiniPrep kit, ZYMO Research, Irvine, CA). Total RNA (100 ng) was converted to cDNA (qScript™ cDNA Synthesis, Quanta Bioscience, Beverley, MA) followed by Sybr-green based quantitative PCR, (PerfeCta SYBR Green FastMix kit; Quanta Bioscience) and 40 cycles of 15-30s at 95°C and 60°C (CFX96 Real-Time PCR Detection System, Bio-Rad). Pre-designed primers (Kiqstart, Sigma Aldrich) were used to assess the expression of; dopamine receptor 1 (D1), dopamine receptor 2 (D2), prodynorphin (Dyn) and preproenkephalin (Eenk) and the endogenous housekeeping gene, glyceraldeyde 3-phosphate dehydrogenase (GAPDH). Statistical analysis. Data from 6 and 7 male mice were collected for each of the 2 control groups, saline and morphine respectively, and 6 male mice for each of the DHA groups; saline or morphine. Data were analyzed by the ΔΔCt method where Ct is the cycle at which fluorescence first increased above background. The ΔCt value was calculated as the difference between the Ct value of each sample from GAPDH and the ΔΔCt as the difference between the experimental and control samples. The date are expressed as the 2^-ΔΔCt and analyzed by 1-way ANOVA with Holm-Sidak post-hoc tests (Prism v6).
Electrophysiology
i. Slice preparation
Twenty-four hours after the last morphine or saline injection, mice were euthanized by isoflurane, the brain rapidly extracted and immersed in an oxygenated, ice cold, solution containing (in mM); 140 K-gluconate, 15 Na+ gluconate, 4 NaCl, 10 HEPES, 0.2 EGTA, pH 7.2, 209–310 mOsm. 300μm coronal slices were cut on a VT1000S vibratome (Leica Microsystems, Wetzlar, Germany), incubated in artificial cerebrospinal fluid (ACSF, in mM: 130 NaCl, 26 NaHCO3, 3 KCl, 2 MgCl2, 1.25 NaHPO4, 2 CaCl2, and 10 glucose, pH: 7.4, osmolality: 300–310 mOsm), and perfused with 95% O2-5% CO2 at RT for at least 1h before recording.
ii. Electrophysiological recordings
A Slicescope (Scientifica, UK) consisting of an upright, modified Olympus BX51W1 microscope, manipulators and controllers coupled with an Axopatch 200B amplifier, NidAQ digitizer and winEDR (University of Stratchlyde, Glasgow, Scotland) software were used. Borosilicate glass capillaries (World Precision Instruments, Sarasota, FL) were pulled using a micropipette puller (P-97, Sutter Instruments Company, Novato, CA) to a resistance of 3–4 MΩ when filled with intracellular solution (in mM; 125 Cs-methanesulfonate, 3 KCl, 4 NaCl, 1 MgCl2, 5 Mg ATP, 9 EGTA, 8 HEPES, 1 GTP Tris, 10 phosphocreatine disodium and 0.1 leupeptin, pH 7.25–7.3, osmolality, 280–290 mOsm). Evoked EPSCs (eEPSCs) were recorded from MSNs in the NAc shell (NAcsh) in the presence of the GABAA receptor antagonist, bicuculline (BIC, 10 μM) in the external solution, while holding the membrane potential at -70 mV or +40 mV, to obtain AMPA and NMDA currents respectively. The slices were perfused with 1–2 ml/min, oxygenated ACSF at RT. The AMPA and NMDA antagonists, 6-cyano-7-nitroquinoxaline-2, 3-dione (CNQX, 10 μM) and amino-5-phosphonovaleric acid, (AP-5, 50 μM) respectively were added into the external solution as needed. Ro25-60981 (1mM, Tocris) was also used to block Grin2B-NMDA currents. MSNs within the NAcsh were visualized by infrared, differential interference microscopy and identified by their size (8-12micron), positive reversal potential and basic membrane properties. A concentric bipolar electrode (FH, Bowdoinham, ME) was placed at the same plane 50-100microns from the recorded cell. The slices were stimulated with a ~500mA current at a frequency of 0.3Hz and adjusted to obtain a submaximal current of~500pA current at -70mV. All antagonists were perfused for 300s at -70mV before the 60s stimulation protocol was applied. Statistical analysis: Two—4 recordings were obtained from 4 male mice for each of the 4 groups, and the data analyzed using WinEDR and WinWCP software. Data are represented as a ratio, or as a percentage of the peak amplitude current, and were analyzed by one-way ANOVA and Holm-Sidak’s post-hoc test. Recordings in which the series resistance was more than 25 MOhms initially or drifted by more than 20% over time were excluded. Basal membrane properties and stimulating currents were not different across groups and are shown in S1 Table.
Viral tracing
A retrogradely-transported pseudorabies virus (PRV263) containing the Brainbow 1.0L cassette [34, 35], (0.56 μl; 2.5 x 105 pfu) was injected into the right striatum (x:+/-2.0, y:+0.7, z: -3.5mm) of transgenic mice expressing Cre recombinase in D2 neurons [36]. These mice had been on a control or DHA-enriched diet. After 48h, the brains were extracted, submerged in 4% paraformaldehyde overnight followed by 30% sucrose for 48h and then frozen. Alternate 50micron section were processed for GFP immunohistochemistry, mounted in Prolong with DAPI (Thermofischer, Carlsbad, CA) and imaged by a slide scanner (Aperio Versa 200 Digital Pathology Scanner, Leica Biosystems). Each section was registered to the Allen Brain Atlas and the number of labeled cells counted by a program written in python by the lab, provided in S2 Table. Statistical analysis: Three-6 brains were assessed per condition and analyzed by 2-way ANOVA and Tukey’s post-hoc test for 69 primary brain regions listed in S3 Table.
Results
i. DHA offsets the anxiety induced by chronic morphine but does not alter morphine-induced analgesia or locomotion
The protocol of chronic morphine used in this study is known to induce anxiety [37], and as DHA supplementation may reduce this symptom of negative affect [25], we proposed that dietary DHA would reduce the increase in anxiety associated with chronic morphine exposure. We used 2 measures of anxiety; 1) wheel running, a form of environmental enrichment that reduces the anxiolytic profile of morphine dependence [37] and, 2) the elevated plus maze (EPM), a well-known measure of anxiety.
ii. Wheel running
Males: DHA did not alter basal wheel running activity in untreated control and DHA groups (control: 13115±1240cm, DHA: 12082±42cm F(1,3) = 0.9, p = 0.4). Whereas saline mice increased wheel running activity, morphine inhibited wheel running (F(13,69) = 19.1, p<0.0001,pre-training control morphine day 8 vs l; p = 0.0001, pre-training control vs saline day 8; p = 0.008). DHA modified, but did not reverse the effects of morphine and increased wheel running at specific time bins, 5 and 15h after the morphine injection on day 1 (5h; control: 652±158cm, DHA: 1272±260cm, and 15h; control: 150±76cm, DHA: 823±292cm; p<0.05) and at 5h on day 8 (5h; control: 311 ±143cm, DHA:1392±382cm, p<0.001, Fig 1A). Females: Similar to males, morphine decreased wheel-running activity (F(7,28) = 6.7, p = 0.<0.001), but this was not altered by supplemental DHA (F(15,129) = 1.5, p = 0.1, S1 Fig). As female mice did not show an effect of DHA supplementation, males were used in all subsequent experiments unless stated otherwise.
iii. EPM
We targeted the time window, 5h after morphine, when DHA increased wheel running activity in morphine-treated mice. Mice that had been on the DHA or control diet for 8 weeks followed by the TDA morphine injection protocol were placed on the EPM for 10’ and data analyzed in 5’ bins. We found a significant effect of treatment on time spent in the outer half of the open arms (F(2,15) = 17.4, p = 0.0001, Fig 1Bi). Compared with control mice, those receiving morphine spent less time in this region during both time bins (0–5’; control saline: 21.6±4.8s, control morphine: 2.5±2.5s, p<0.05 and 6–10’: control saline: 37.5±7.2s, control morphine: 5.9±2.9s, p<0.001). Supplemental DHA partially reversed this behavior: Time spent in this region during the first 5’ bin by the DHA-morphine mice (9.7±3.7s) was not different from either the control saline or control morphine groups. However, during the second 5’ bin, the DHA morphine mice spent more time in this region than control morphine mice (control morphine: 5.9±2.9s, DHA morphine: 21.2±6.2s, p<0.05), although this was less than control saline mice (37.5±7.2s, p<0.05). There was also an effect of treatment on the number of entries into the second half of the open arms (F(2,15) = 5.1, p = 0.02, Fig 1Bii). During the first 5’ bin, control morphine mice entered this region less than control saline mice (control morphine: 0.3±0.2, control saline: 3.4±0.9, p<0.01). However, the number of entries by the morphine-DHA mice (2.0±0.5) did not differ from those of either control saline or control morphine mice. There was no effect of treatment during the second 5’ bin. We next assessed the effect of DHA on known effects of morphine; thermal analgesia and locomotion.
iv. Thermal analgesia
There was no effect of diet on basal nociception (control diet: 1.2±0.2s, DHA diet: 1.0±0.2s, t = 0.6, df = 8, p = 0.6). A single morphine injection delayed the response to heat (control diet: 6.2±1.1s, DHA diet: 5.0±0.9s, F(1,4) = 30.9, p = 0.005) but there was no effect of diet (F(1,4) = 3.1, p = 0.2, Fig 1C).
v. Morphine-induced locomotion
The locomotor effect of morphine was assessed during the TDA schedule; after the1st injection on day 1 (10mg/kg), the 6th injection on day 4 (30mg/kg) and the final injection on day 8, (50mg/kg). After 15’ of basal locomotion, morphine was injected and locomotor distance measured over 60’. Morphine induced locomotion in both control and DHA groups (Day 1; control saline: 1353±103cm, control morphine: 12216±1109cm, DHA saline: 7472±545cm, DHA morphine: 15278±2042cm, F(3,16) = 8.6, p<0.001. Day 4; control saline; 1250±72cm, control morphine; 21582±2998cm, DHA saline; 3692±383cm, DHA morphine; 27693±3187cm, F(3,1) = 26.0, p<0.001. Day 8; control saline; 1224±125cm, control morphine; 27129±1760cm, DHA saline; 3381±779cm, DHA morphine; 29101±2580cm, F(3,12) = 75.7, p<0.001). However, there was no effect of DHA on the total locomotion for each of these days (F(2,8) = 0.4, p = 0.7, Fig 1D). There was also no effect of diet on the sensitization of this response over time (F(2,8) = 0.4).Together these data suggest that a DHA-enriched diet partly offsets the anxiogenic effects of chronic morphine but does not alter basal thermal pain or the ability of morphine to induce analgesia or hyperlocomotion.
Region-specific effects of dietary DHA and morphine on brain DHA content
As DHA supplementation altered specific behaviors induced by morphine, we next examined whether the supplemental DHA protocol used altered DHA content of the frontal cortex and striatum, regions known to be affected by prior opioid exposure, the frontal cortex and striatum [38].
i. Frontal cortex
Supplemental DHA increased DHA content following morphine or saline treatments (control saline: 8.9±0.3mg/mg, control morphine: 8.8±0.3mg/mg, DHA saline: 10.4±0.3mg/mg, DHA morphine: 10.3±0.2mg/mg, F(3,28) = 10.4, p<0.001, Fig 2A) However, morphine had no effect on cortical DHA content in control (p = 0.9) or DHA (p = 0.3) treated mice (Fig 2A). As female mice did not show an effect of DHA supplementation (F(3,8) = 2.1, p = 0.2 S2 Fig), males were used in all subsequent experiments.
ii. Striatum
In contrast to the cortex, the striatum showed an effect of both DHA and morphine on striatal DHA content (control saline: 6.6±0.3mg/mg, control morphine: 5.0±05mg/mg, DHA saline: 7.7±0.3mg/mg, DHA morphine: 7.5±0.07mg/mg, F(3,14) = 17.8, p<0.001, Fig 2B). Morphine decreased DHA content in control tissue (control saline vs control morphine; p<0.001), but did not change DHA content in tissue from DHA mice (control morphine vs DHA morphine, p = 0.6). Supplemental DHA increased DHA content in both morphine and saline treated mice (p<0.05). Together these results show that morphine reduced DHA content in striatal tissue and DHA supplementation, in increasing DHA content, offset this reduction. Based on these findings we focused on the striatum in subsequent assays.
Dietary DHA reverses the effects of morphine on specific striatal glutamate receptor subunit expression
As morphine or DHA may independently alter glutamatergic receptor expression and function [39, 40], we first used qPCR to assess the effect of morphine and DHA on the expression of specific glutamatergic subunits.
i. Gria1 (GluR1)
We found a significant treatment effect on Gria 1 expression (control saline: 100±2%, control morphine: 117±4%, DHA saline: 94±3%, DHA morphine: 109±3%, F(3,16) = 9.8 p<0.001, Fig 3A). Morphine increased Gria1 transcript levels following both control (control saline vs control morphine p<0.005) or DHA diets (DHA saline vs DHA morphine, p<0.05). However, there was no interaction of diet and morphine (control morphine vs DHA morphine, p = 0.2).
ii. Grin2A (NR2A)
Morphine and DHA showed a significant treatment effect on Grin2A transcript levels (control saline: 100±5%, control morphine: 115±5%, DHA saline: 91±7%, DHA morphine: 126±7%, F(3.16) = 7.5, p = 0.002, Fig 3B); morphine increased Grin2A expression following the DHA diet (p<0.005) and trended towards an increase following the control diet (p = 0.08). However, there was no effect of supplemental DHA on this transcript (control saline vs DHA saline, p = 0.3).
iii. Grin2B (NR2B)
Grin2B transcripts showed a significant interaction (control saline: 97±3%, control morphine: 223±37%, DHA saline: 119±10%, DHA morphine: 145±13%, F(3, 20) = 9.3, p<0.001, Fig 3C). Morphine increased Grin2B expression (control saline vs control morphine; p<0.0001) but this did not occur following DHA (DHA saline vs DHA morphine; p = 0.12). In summary, chronic morphine increased the expression of the 3 glutamatergic subunits examined but DHA offset the effect of morphine on the expression of Grin2B, but not Gria1 or Grin2A.
Supplemental DHA reduces the effect of morphine on glutamatergic plasticity
Chronic morphine has been shown to increase the AMPA/NMDA ratio and the contribution of NR2B subunits to the NMDA current in the NAcsh [41]. We therefore used slice electrophysiology ex vivo to assess evoked EPSCs and measured the AMPA/NMDA ratio in medium spiny neurons (MSNs) in the N.Acsh. We found that chronic morphine increased this ratio (control saline: 2.17±0.2, control morphine: 3.2±0.4, DHA saline: 2.1±0.2, DHA morphine: 2.0±0.1, F(3,43) = 3.9, p<0.01, Fig 3D). DHA supplementation reduced this increase to basal levels (p = 0.9, DHA morphine vs control saline). Chronic morphine also increased the contribution of Grin2B-NMDARs to NMDAR currents (control saline: 7.3±6.3%, control morphine: 27.0±5.2%, DHA saline: 13.0±3.0%, DHA morphine: 9.8±1.8%, F(3,28) = 3.8, p<0.05, Fig 3E), an effect that was reduced by DHA (DHA morphine vs control saline; p = 0.7). There was no effect of DHA on either the AMPA/NMDA ratio or on the proportion of Grin2B-containingNMDA currents in saline treated mice (p = 0.7 and p = 0.4 control saline vs DHA saline respectively). In summary DHA reversed the effect of morphine on the AMPA/NMDA ratio and on Grin2B-NMDARs in striatal MSNs.
DHA offsets the effect of morphine in specific striatal neuronal subtypes
MSNs are either enriched in dopamine 1 (D1) or dopamine 2 (D2) receptors and project to the substantia nigra; direct pathway D1-MSNs, or globus pallidus; indirect pathway D2-MSNs. D1-MSNs have been implicated in the initial response to drugs of abuse whereas D2-MSNs are often associated with the development of dependence, withdrawal and aversion [42–45]. So as to further determine the striatal neuronal profile affected by morphine in these neuronal subtypes, we assessed the expression of D1-enriched genes; D1 and Dyn, and D2-enriched genes; D2 and Enk. Morphine increased D1 expression (control saline: 100±2%, control morphine: 147±4%, DHA saline: 84±5.%, DHA morphine:126 ±6%, F(3,22) = 42.1, p<0.001, Fig 4A), and, although DHA did reduce this increase (p<0.01), expression remained higher in DHA-morphine compared with DHA-saline (p<01) or control saline (p<0.001) tissue. In contrast, D2 transcript levels showed a drug and treatment effect, (F(3,21) = 16.0, p<0.0001, Fig 4B). Morphine reduced D2 expression in control tissue (control saline: 100±2%, control morphine: 63±7%, p<0.01), an effect that was not seen in DHA tissue (DHA saline: 129±9%, DHA morphine: 120 ±9%, p = 0.5). DHA also increased D2 expression in control tissue (control saline vs DHA saline p<0.05). Morphine did not alter the expression of Dyn, (control saline: 101±5%, control morphine: 110±3%, F(3.16) = 1.4, p = 0.2, Fig 4C) but increased that of Enk (control saline: 101±10%, control morphine: 137±3%, F(3,16) = 4.3, p = 0.004, Fig 4D). DHA had no effect on Dyn expression (DHA saline: 93±9%, DHA morphine: 99 ±5%, p = 0.2, Fig 4C) but reduced the morphine-induced increase in Enk expression (DHA saline: 113±7%, DHA morphine:108 ±8%, p = 0.0, Fig 4D). In summary morphine altered the expression of genes in both D1 and D2 neurons but supplemental DHA offset this effect in D2 neurons.
Polysynaptic viral tracing shows an effect of DHA and morphine on striatal innervation
Chronic drug use has been shown to have a drug- and cell-specific effect on dendritic spine density and branching [46–52]. This structural plasticity could affect the functional connectivity of the striatum which DHA, as a structural component of the membrane [53], may influence. To examine this we used a retrogradely transported polysynaptic pseudorabies virus containing the floxed Brainbow cassette expressing tdTomato as the default fluorescent marker [35, 54]. When exposed to Cre recombinase, sections of the Brainbow cassette between the loxP sites are deleted and the virus and subsequent virions express yellow fluorescent protein. As our gene expression data showed that morphine altered the profile of D2, but not D1, MSNs, we used D2-cre mice for these experiments and euthanized the mice after 48h when the virus would have crossed 2–3 synapses [34]. We used an automated registration and cell counting program (S3 Table) and counted the number of labeled cells in every other section of the brain, plates 113–360 of the Allen Brain Atlas (http://www.brain-map.org/). We controlled for variance in the total number of labeled cells between mice by expressing the data as a percent of the total cell count (Fig 5A). Two-way ANOVA analysis of the 69 principal regions (F(3, 893) = 0.1) highlighted 2 areas; a). The secondary motor area: Morphine increased the number of labeled cells in this region (control saline: 6.1±2.2%, control morphine: 11.5±4.3%, p<0.01) and DHA reduced this increase (control morphine vs DHA morphine (6.9±2.2%), p<0.01, Fig 5B and 5D). b). A similar effect was seen in the olfactory area which showed an effect of morphine (control saline: 5.4±1.6%, control morphine: 12.7±4.4%, p<0.01) and an effect of DHA and morphine (control morphine vs DHA morphine: 7.3±1.4%, p<0.01, Fig 5C and 5E). Closer examination of the data shows that, within this primary region, the labeling was concentrated in the piriform cortex for all groups.
Discussion
This preclinical study shows that specific behavioral and cellular effects of chronic morphine can be reduced by a diet supplemented with n-3 PUFAs. The 8 week n-3 PUFA dietary intervention used in this study reduced the increased anxiety following chronic morphine and reversed the effect of repeated morphine exposure on striatal DHA content. This dietary intervention also normalized morphine-induced glutamatergic plasticity and increased Grin2B expression and the proportion of Grin2B-NMDAR currents in the striatum. Furthermore the effect of morphine on the expression of genes enriched in D2-MSNs and on the D2-striatal connectome was offset by this DHA-enriched diet. These data show how this intervention offset allostatic adaptations known to be induced by chronic opioid exposure [38] without altering the proto-typical effects of activating the mu opioid receptor, the predominant target of morphine and other opioids.
Although this is the first study showing an effect of supplementary DHA following chronic morphine, there are several indications that DHA status may interact with drug addiction. Humans dependent on opiates or nicotine often consume a lipid-poor diet resulting in low plasma DHA levels [55, 56]. These DHA-deficient diets alter the DHA content of specific brain regions, decrease membrane fluidity and the expression of multiple pre- and post-synaptic proteins [57–60]. A similar effect may be induced by the abused drug itself; methamphetamine induces region-specific changes in brain DHA content [61, 62]. Drugs of abuse also reduce metabolic status, brain lipid microviscosity, alter dendritic spine morphology, and increase neuroinflammation [63–71], changes which supplemental DHA may reverse [72–76]. Supplementary DHA also decreases stress, anxiety and aggression, behaviors often associated with relapse [77–79].
One of the clear benefits of dietary n-3 supplementation is an inhibition of inflammation. The in vivo DHA biosynthetic products, the D and E resolvins, signal through specific G-protein coupled receptors to block pro-inflammatory cascades [80]. As chronic opioid exposure activates microglia [81], and supplemental DHA reverses microglial activation [82], the beneficial effects of n-3 PUFAs seen in this study may be due to a reduction in neuroinflammation.
Our data shows several specific effects, one is the regional and cellular interactions of morphine and DHA. As the striatum is a key structure mediating reward, opioids are known to alter glutamatergic function, and D2 MSNs are involved in withdrawal and dependence associated with chronic opioid exposure [41–43], the effect of morphine on excitatory transmission and the cells of this region is not surprising. The changes in striatal connectivity of the orbital area, in particular the piriform, which innervates D2 neurons and is activated by chronic morphine exposure and withdrawal [36, 83, 84], and the secondary motor area, or the dorsomedial prefrontal cortex, which is involved in the anticipation of reward and goal-directed behavior [85], further implicate D2 MSNs as an important contributor to an opioid-induced allostatic load. However, the ability of DHA to offset these changes within this circuit suggests a regional, signaling and cellular sensitivity to this PUFA. Another key feature is a gender-specific interaction of DHA and morphine. Most of our experiments were conducted in male mice but when females were included, we found little evidence of an interaction between morphine and DHA, suggesting a gender-specific effect. The underlying mechanisms accounting for these specific effects warrant further investigation.
As an integral structural component of the cell that is also required for different cellular and metabolic processes, n-3 PUFAs are essential for normal growth and development. However, the western diet of some, but not all humans, has become increasingly low in n-3 yet higher in n-6 PUFAs. This imbalance has been implicated in several developmental abnormalities [86]. For this study we chose a control diet low in DHA content so as to mimic that of typical western diets. This initial DHA status could both contribute to the cellular and behavioral effects of opioids and to the ability of dietary DHA to offset these changes.
In summary this study provides initial pre-clinical evidence that supplemental DHA reverses specific cellular and regional effects of chronic morphine. This dietary intervention also reduced the increase in anxiety, or state of negative affect, that could be a driving contributor to opioid-seeking behaviors and relapse [38]. We propose that, in addition to the current pharmaceutical compounds such as narcan or buprenorphine, that target the mu opioid receptor, DHA could be used to reduce the allostatic adaptations associated with chronic opioid exposure.
Supporting information
Acknowledgments
Thanks are due to Dr. David Pena and Maxwell Roth for assistance with the cell counting technique and program. The pseudorabies virus was provided by Dr Lynn Enquist and supported by the NIH Virus Center grant P40RR01860.
Data Availability
All relevant data are within the paper and its Supporting Information files.
Funding Statement
Support was provided by Shirley and Stefan Hatos Foundation (NIDA: DA005010, NINDS:NS0504650, NIH:P40RR01860). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
References
- 1.SAMHSA. Substance Abuse and Mental Health Services Administration, Results from the 2011 National Survey on Drug Use and Health: Summary of National Findings,Rockville, MD:. 2012.
- 2.Rudd RA, Seth P, David F, Scholl L. Increases in Drug and Opioid-Involved Overdose Deaths—United States, 2010–2015. In: Prevention DoUI, editor.: National Center for Injury Prevention and Control; 16 December 2016. [Google Scholar]
- 3.Compton WM, Jones CM, Baldwin GT. Nonmedical Prescription-Opioid Use and Heroin Use. N Engl J Med. 2016;374(13):1296. [DOI] [PubMed] [Google Scholar]
- 4.Dasgupta N, Creppage K, Austin A, Ringwalt C, Sanford C, Proescholdbell SK. Observed transition from opioid analgesic deaths toward heroin. Drug Alcohol Depend. 2014;145C:238–41. [DOI] [PubMed] [Google Scholar]
- 5.Rudd RA, Paulozzi LJ, Bauer MJ, Burleson RW, Carlson RE, Dao D, et al. Increases in heroin overdose deaths—28 States, 2010 to 2012. MMWR Morb Mortal Wkly Rep. 2014;63(39):849–54. [PMC free article] [PubMed] [Google Scholar]
- 6.Cicero TJ, Ellis MS. Abuse-Deterrent Formulations and the Prescription Opioid Abuse Epidemic in the United States: Lessons Learned From OxyContin. JAMA Psychiatry. 2015;72(5):424–30. 10.1001/jamapsychiatry.2014.3043 [DOI] [PubMed] [Google Scholar]
- 7.Volkow N. Prescription opioid and heroin abuse https://www.drugabuse.gov/about-nida/legislative-activities/testimony-to-congress/2015/prescription-opioid-heroin-abuse: National Institute of Drug Abuse; 2016 [cited 2016].
- 8.Banerjee G, Edelman EJ, Barry DT, Becker WC, Cerda M, Crystal S, et al. Non-medical use of prescription opioids is associated with heroin initiation among US veterans: a prospective cohort study. Addiction. 2016;111(11):2021–31. 10.1111/add.13491 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Hoback J. OVERDOSED ON OPIOIDS: A deadly opioid epidemic sweeping the country has lawmakers working hard to find solutions. State Legis. 2016;42(4):9–13. [PubMed] [Google Scholar]
- 10.Health USDO, Human S. Opioid abuse in the United States and Department of Health and Human Services actions to address opioid-drug-related overdoses and deaths. J Pain Palliat Care Pharmacother. 2015;29(2):133–9. 10.3109/15360288.2015.1037530 [DOI] [PubMed] [Google Scholar]
- 11.Koob GF. The dark side of emotion: the addiction perspective. Eur J Pharmacol. 2015;753:73–87. 10.1016/j.ejphar.2014.11.044 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Koob GF, Volkow ND. Neurobiology of addiction: a neurocircuitry analysis. Lancet Psychiatry. 2016;3(8):760–73. 10.1016/S2215-0366(16)00104-8 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Volkow ND, Koob GF, McLellan AT. Neurobiologic Advances from the Brain Disease Model of Addiction. N Engl J Med. 2016;374(4):363–71. 10.1056/NEJMra1511480 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Larance B, Lintzeris N, Bruno R, Peacock A, Cama E, Ali R, et al. The characteristics of a cohort who tamper with prescribed and diverted opioid medications. J Subst Abuse Treat. 2015;58:51–61. 10.1016/j.jsat.2015.06.001 [DOI] [PubMed] [Google Scholar]
- 15.Evans CJ, Cahill CM. Neurobiology of opioid dependence in creating addiction vulnerability. F1000Res. 2016;5. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Ibarguren M, Lopez DJ, Encinar JA, Gonzalez-Ros JM, Busquets X, Escriba PV. Partitioning of liquid-ordered/liquid-disordered membrane microdomains induced by the fluidifying effect of 2-hydroxylated fatty acid derivatives. Biochim Biophys Acta. 2013;1828(11):2553–63. 10.1016/j.bbamem.2013.06.014 [DOI] [PubMed] [Google Scholar]
- 17.Jones CR, Arai T, Bell JM, Rapoport SI. Preferential in vivo incorporation of [3H]arachidonic acid from blood in rat brain synaptosomal fractions before and after cholinergic stimulation. J Neurochem. 1996;67(2):822–9. [DOI] [PubMed] [Google Scholar]
- 18.Suzuki H, Manabe S, Wada O, Crawford MA. Rapid incorporation of docosahexaenoic acid from dietary sources into brain microsomal, synaptosomal and mitochondrial membranes in adult mice. Int J Vitam Nutr Res. 1997;67(4):272–8. [PubMed] [Google Scholar]
- 19.Lee JW, Huang BX, Kwon H, Rashid MA, Kharebava G, Desai A, et al. Orphan GPR110 (ADGRF1) targeted by N-docosahexaenoylethanolamine in development of neurons and cognitive function. Nat Commun. 2016;7:13123 10.1038/ncomms13123 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.de Vera IM, Giri PK, Munoz-Tello P, Brust R, Fuhrmann J, Matta-Camacho E, et al. Identification of a Binding Site for Unsaturated Fatty Acids in the Orphan Nuclear Receptor Nurr1. ACS Chem Biol. 2016;11(7):1795–9. 10.1021/acschembio.6b00037 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Moniri NH. Free-fatty acid receptor-4 (GPR120): Cellular and molecular function and its role in metabolic disorders. Biochem Pharmacol. 2016;110–111:1–15. 10.1016/j.bcp.2016.01.021 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Bennett M, Gilroy DW. Lipid Mediators in Inflammation. Microbiol Spectr. 2016;4(6). [DOI] [PubMed] [Google Scholar]
- 23.Ji RR, Xu ZZ, Strichartz G, Serhan CN. Emerging roles of resolvins in the resolution of inflammation and pain. Trends Neurosci. 2011;34(11):599–609. 10.1016/j.tins.2011.08.005 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Pusceddu MM, Kelly P, Ariffin N, Cryan JF, Clarke G, Dinan TG. n-3 PUFAs have beneficial effects on anxiety and cognition in female rats: Effects of early life stress. Psychoneuroendocrinology. 2015;58:79–90. 10.1016/j.psyneuen.2015.04.015 [DOI] [PubMed] [Google Scholar]
- 25.Ross BM, Seguin J, Sieswerda LE. Omega-3 fatty acids as treatments for mental illness: which disorder and which fatty acid? Lipids Health Dis. 2007;6:21 10.1186/1476-511X-6-21 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Bozzatello P, Brignolo E, De Grandi E, Bellino S. Supplementation with Omega-3 Fatty Acids in Psychiatric Disorders: A Review of Literature Data. J Clin Med. 2016;5(8). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Pifferi F, Dorieux O, Castellano CA, Croteau E, Masson M, Guillermier M, et al. Long-chain n-3 PUFAs from fish oil enhance resting state brain glucose utilization and reduce anxiety in an adult nonhuman primate, the grey mouse lemur. J Lipid Res. 2015;56(8):1511–8. 10.1194/jlr.M058933 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Trofimiuk E, Braszko JJ. Concomitant docosahexaenoic acid administration ameliorates stress-induced cognitive impairment in rats. Physiol Behav. 2013;118:171–7. 10.1016/j.physbeh.2013.05.002 [DOI] [PubMed] [Google Scholar]
- 29.Lin PY, Su KP. A meta-analytic review of double-blind, placebo-controlled trials of antidepressant efficacy of omega-3 fatty acids. The Journal of clinical psychiatry. 2007;68(7):1056–61. [DOI] [PubMed] [Google Scholar]
- 30.Zhang XW, Hou WS, Li M, Tang ZY. Omega-3 fatty acids and risk of cognitive decline in the elderly: a meta-analysis of randomized controlled trials. Aging Clin Exp Res. 2016;28(1):165–6. 10.1007/s40520-015-0381-9 [DOI] [PubMed] [Google Scholar]
- 31.Zhang Y, Chen J, Qiu J, Li Y, Wang J, Jiao J. Intakes of fish and polyunsaturated fatty acids and mild-to-severe cognitive impairment risks: a dose-response meta-analysis of 21 cohort studies. Am J Clin Nutr. 2016;103(2):330–40. 10.3945/ajcn.115.124081 [DOI] [PubMed] [Google Scholar]
- 32.Lesperance F, Frasure-Smith N, St-Andre E, Turecki G, Lesperance P, Wisniewski SR. The efficacy of omega-3 supplementation for major depression: a randomized controlled trial. The Journal of clinical psychiatry. 2011;72(8):1054–62. 10.4088/JCP.10m05966blu [DOI] [PubMed] [Google Scholar]
- 33.Suganuma H, Arai Y, Kitamura Y, Hayashi M, Okumura A, Shimizu T. Maternal docosahexaenoic acid-enriched diet prevents neonatal brain injury. Neuropathology. 2010;30(6):597–605. 10.1111/j.1440-1789.2010.01114.x [DOI] [PubMed] [Google Scholar]
- 34.Card JP, Enquist LW. Transneuronal circuit analysis with pseudorabies viruses. Curr Protoc Neurosci. 2014;68:1 5 1–39. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35.Card JP, Kobiler O, McCambridge J, Ebdlahad S, Shan Z, Raizada MK, et al. Microdissection of neural networks by conditional reporter expression from a Brainbow herpesvirus. Proc Natl Acad Sci U S A. 2011;108(8):3377–82. 10.1073/pnas.1015033108 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.Guo Q, Wang D, He X, Feng Q, Lin R, Xu F, et al. Whole-brain mapping of inputs to projection neurons and cholinergic interneurons in the dorsal striatum. PLoS One. 2015;10(4):e0123381 10.1371/journal.pone.0123381 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37.Miladi-Gorji H, Rashidy-Pour A, Fathollahi Y. Anxiety profile in morphine-dependent and withdrawn rats: effect of voluntary exercise. Physiol Behav. 2012;105(2):195–202. 10.1016/j.physbeh.2011.08.010 [DOI] [PubMed] [Google Scholar]
- 38.Cahill CM, Walwyn W, Taylor AM, Pradhan AA, Evans CJ. Allostatic Mechanisms of Opioid Tolerance Beyond Desensitization and Downregulation. Trends Pharmacol Sci. 2016;37(11):963–76. 10.1016/j.tips.2016.08.002 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39.Jacobs EH, Wardeh G, Smit AB, Schoffelmeer AN. Morphine causes a delayed increase in glutamate receptor functioning in the nucleus accumbens core. Eur J Pharmacol. 2005;511(1):27–30. 10.1016/j.ejphar.2005.02.009 [DOI] [PubMed] [Google Scholar]
- 40.Mazzocchi-Jones D. Impaired corticostriatal LTP and depotentiation following iPLA2 inhibition is restored following acute application of DHA. Brain Res Bull. 2015;111:69–75. 10.1016/j.brainresbull.2014.12.010 [DOI] [PubMed] [Google Scholar]
- 41.Wu X, Shi M, Wei C, Yang M, Liu Y, Liu Z, et al. Potentiation of synaptic strength and intrinsic excitability in the nucleus accumbens after 10 days of morphine withdrawal. J Neurosci Res. 2012;90(6):1270–83. 10.1002/jnr.23025 [DOI] [PubMed] [Google Scholar]
- 42.Zhu Y, Wienecke CF, Nachtrab G, Chen X. A thalamic input to the nucleus accumbens mediates opiate dependence. Nature. 2016;530(7589):219–22. 10.1038/nature16954 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 43.Enoksson T, Bertran-Gonzalez J, Christie MJ. Nucleus accumbens D2- and D1-receptor expressing medium spiny neurons are selectively activated by morphine withdrawal and acute morphine, respectively. Neuropharmacology. 2012;62(8):2463–71. 10.1016/j.neuropharm.2012.02.020 [DOI] [PubMed] [Google Scholar]
- 44.Hikida T, Kimura K, Wada N, Funabiki K, Nakanishi S. Distinct roles of synaptic transmission in direct and indirect striatal pathways to reward and aversive behavior. Neuron. 2010;66(6):896–907. 10.1016/j.neuron.2010.05.011 [DOI] [PubMed] [Google Scholar]
- 45.Danjo T, Yoshimi K, Funabiki K, Yawata S, Nakanishi S. Aversive behavior induced by optogenetic inactivation of ventral tegmental area dopamine neurons is mediated by dopamine D2 receptors in the nucleus accumbens. Proc Natl Acad Sci U S A. 2014;111(17):6455–60. 10.1073/pnas.1404323111 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 46.Miller EC, Zhang L, Dummer BW, Cariveau DR, Loh H, Law PY, et al. Differential modulation of drug-induced structural and functional plasticity of dendritic spines. Mol Pharmacol. 2012;82(2):333–43. 10.1124/mol.112.078162 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 47.Russo SJ, Bolanos CA, Theobald DE, DeCarolis NA, Renthal W, Kumar A, et al. IRS2-Akt pathway in midbrain dopamine neurons regulates behavioral and cellular responses to opiates. Nat Neurosci. 2007;10(1):93–9. 10.1038/nn1812 [DOI] [PubMed] [Google Scholar]
- 48.Lee KW, Kim Y, Kim AM, Helmin K, Nairn AC, Greengard P. Cocaine-induced dendritic spine formation in D1 and D2 dopamine receptor-containing medium spiny neurons in nucleus accumbens. Proc Natl Acad Sci U S A. 2006;103(9):3399–404. 10.1073/pnas.0511244103 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 49.Li Y, Wang H, Niu L, Zhou Y. Chronic morphine exposure alters the dendritic morphology of pyramidal neurons in visual cortex of rats. Neurosci Lett. 2007;418(3):227–31. 10.1016/j.neulet.2007.03.023 [DOI] [PubMed] [Google Scholar]
- 50.Robinson TE, Kolb B. Structural plasticity associated with exposure to drugs of abuse. Neuropharmacology. 2004;47 Suppl 1:33–46. [DOI] [PubMed] [Google Scholar]
- 51.Robinson TE, Gorny G, Savage VR, Kolb B. Widespread but regionally specific effects of experimenter- versus self-administered morphine on dendritic spines in the nucleus accumbens, hippocampus, and neocortex of adult rats. Synapse. 2002;46(4):271–9. 10.1002/syn.10146 [DOI] [PubMed] [Google Scholar]
- 52.Robinson TE, Kolb B. Morphine alters the structure of neurons in the nucleus accumbens and neocortex of rats. Synapse. 1999;33(2):160–2. [DOI] [PubMed] [Google Scholar]
- 53.Almeida DM, Jandacek RJ, Weber WA, McNamara RK. Docosahexaenoic acid biostatus is associated with event-related functional connectivity in cortical attention networks of typically developing children. Nutr Neurosci. 2015. [DOI] [PubMed] [Google Scholar]
- 54.Card JP, Kobiler O, Ludmir EB, Desai V, Sved AF, Enquist LW. A dual infection pseudorabies virus conditional reporter approach to identify projections to collateralized neurons in complex neural circuits. PLoS One. 2011;6(6):e21141 10.1371/journal.pone.0021141 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 55.Morabia A, Fabre J, Chee E, Zeger S, Orsat E, Robert A. Diet and opiate addiction: a quantitative assessment of the diet of non-institutionalized opiate addicts. Br J Addict. 1989;84(2):173–80. [DOI] [PubMed] [Google Scholar]
- 56.Zaparoli JX, Sugawara EK, de Souza AA, Tufik S, Galduroz JC. Omega-3 Levels and Nicotine Dependence: A Cross-Sectional Study and Clinical Trial. Eur Addict Res. 2016;22(3):153–62. 10.1159/000439525 [DOI] [PubMed] [Google Scholar]
- 57.Salem N Jr., Moriguchi T, Greiner RS, McBride K, Ahmad A, Catalan JN, et al. Alterations in brain function after loss of docosahexaenoate due to dietary restriction of n-3 fatty acids. J Mol Neurosci. 2001;16(2–3):299–307; discussion 17–21. 10.1385/JMN:16:2-3:299 [DOI] [PubMed] [Google Scholar]
- 58.Sidhu VK, Huang BX, Kim HY. Effects of docosahexaenoic acid on mouse brain synaptic plasma membrane proteome analyzed by mass spectrometry and (16)O/(18)O labeling. J Proteome Res. 2011;10(12):5472–80. 10.1021/pr2007285 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 59.Chen L, Meng Q, Yu X, Li C, Zhang C, Cui C, et al. Possible mechanisms underlying the biphasic regulatory effects of arachidonic acid on Ca2+ signaling in HEK293 cells. Cell Signal. 2012;24(8):1565–72. 10.1016/j.cellsig.2012.03.016 [DOI] [PubMed] [Google Scholar]
- 60.Wu A, Ying Z, Gomez-Pinilla F. Dietary Strategy to Repair Plasma Membrane After Brain Trauma: Implications for Plasticity and Cognition. Neurorehabil Neural Repair. 2013. [DOI] [PubMed] [Google Scholar]
- 61.McNamara RK, Sullivan J, Richtand NM, Jandacek R, Rider T, Tso P, et al. Omega-3 fatty acid deficiency augments amphetamine-induced behavioral sensitization in adult DBA/2J mice: relationship with ventral striatum dopamine concentrations. Synapse. 2008;62(10):725–35. 10.1002/syn.20542 [DOI] [PubMed] [Google Scholar]
- 62.Buydens-Branchey L, Branchey M, Hibbeln JR. Low plasma levels of docosahexaenoic acid are associated with an increased relapse vulnerability in substance abusers. Am J Addict. 2009;18(1):73–80. 10.1080/10550490802544003 [DOI] [PubMed] [Google Scholar]
- 63.Jiang C, Xu L, Chen L, Han Y, Tang J, Yang Y, et al. Selective suppression of microglial activation by paeoniflorin attenuates morphine tolerance. Eur J Pain. 2015;19(7):908–19. 10.1002/ejp.617 [DOI] [PubMed] [Google Scholar]
- 64.Pal A, Das S. Chronic morphine exposure and its abstinence alters dendritic spine morphology and upregulates Shank1. Neurochem Int. 2013;62(7):956–64. 10.1016/j.neuint.2013.03.011 [DOI] [PubMed] [Google Scholar]
- 65.Heron DS, Shinitzky M, Zamir N, Samuel D. Adaptive modulations of brain membrane lipid fluidity in drug addiction and denervation supersensitivity. Biochem Pharmacol. 1982;31(14):2435–8. [DOI] [PubMed] [Google Scholar]
- 66.Cunha-Oliveira T, Rego AC, Garrido J, Borges F, Macedo T, Oliveira CR. Street heroin induces mitochondrial dysfunction and apoptosis in rat cortical neurons. J Neurochem. 2007;101(2):543–54. 10.1111/j.1471-4159.2006.04406.x [DOI] [PubMed] [Google Scholar]
- 67.Cunha-Oliveira T, Silva L, Silva AM, Moreno AnJ, Oliveira CR, Santos MS. Mitochondrial complex I dysfunction induced by cocaine and cocaine plus morphine in brain and liver mitochondria. Toxicology Letters. 2013;219(3):298–306. 10.1016/j.toxlet.2013.03.025 [DOI] [PubMed] [Google Scholar]
- 68.Cunha-Oliveira T, Silva L, Silva AM, Moreno AJ, Oliveira CR, Santos MS. Acute effects of cocaine, morphine and their combination on bioenergetic function and susceptibility to oxidative stress of rat liver mitochondria. Life Sci. 2013;92(24–26):1157–64. [DOI] [PubMed] [Google Scholar]
- 69.Trivedi MS, Deth R. Redox-based epigenetic status in drug addiction: a potential contributor to gene priming and a mechanistic rationale for metabolic intervention. Front Neurosci. 2014;8:444 10.3389/fnins.2014.00444 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 70.Cheng A, Wan R, Yang JL, Kamimura N, Son TG, Ouyang X, et al. Involvement of PGC-1alpha in the formation and maintenance of neuronal dendritic spines. Nat Commun. 2012;3:1250 10.1038/ncomms2238 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 71.Chen XL, Lu G, Gong YX, Zhao LC, Chen J, Chi ZQ, et al. Expression changes of hippocampal energy metabolism enzymes contribute to behavioural abnormalities during chronic morphine treatment. Cell Res. 2007;17(8):689–700. 10.1038/cr.2007.63 [DOI] [PubMed] [Google Scholar]
- 72.Cansev M. Synaptogenesis: Modulation by Availability of Membrane Phospholipid Precursors. Neuromolecular Med. 2016;18(3):426–40. 10.1007/s12017-016-8414-x [DOI] [PubMed] [Google Scholar]
- 73.Eckert GP, Lipka U, Muller WE. Omega-3 fatty acids in neurodegenerative diseases: focus on mitochondria. Prostaglandins Leukot Essent Fatty Acids. 2013;88(1):105–14. 10.1016/j.plefa.2012.05.006 [DOI] [PubMed] [Google Scholar]
- 74.Chang PK, Khatchadourian A, McKinney RA, Maysinger D. Docosahexaenoic acid (DHA): a modulator of microglia activity and dendritic spine morphology. J Neuroinflammation. 2015;12:34 10.1186/s12974-015-0244-5 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 75.Dyall SC, Michael-Titus AT. Neurological benefits of omega-3 fatty acids. Neuromolecular Med. 2008;10(4):219–35. 10.1007/s12017-008-8036-z [DOI] [PubMed] [Google Scholar]
- 76.Liu ZH, Yip PK, Adams L, Davies M, Lee JW, Michael GJ, et al. A Single Bolus of Docosahexaenoic Acid Promotes Neuroplastic Changes in the Innervation of Spinal Cord Interneurons and Motor Neurons and Improves Functional Recovery after Spinal Cord Injury. J Neurosci. 2015;35(37):12733–52. 10.1523/JNEUROSCI.0605-15.2015 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 77.Buydens-Branchey L, Branchey M. Long-chain n-3 polyunsaturated fatty acids decrease feelings of anger in substance abusers. Psychiatry Res. 2008;157(1–3):95–104. 10.1016/j.psychres.2007.01.004 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 78.Buydens-Branchey L, Branchey M, McMakin DL, Hibbeln JR. Polyunsaturated fatty acid status and aggression in cocaine addicts. Drug Alcohol Depend. 2003;71(3):319–23. [DOI] [PubMed] [Google Scholar]
- 79.Kuhn FT, Dias VT, Roversi K, Vey LT, de Freitas DL, Pase CS, et al. Cross-Generational trans Fat Consumption Favors Self-Administration of Amphetamine and Changes Molecular Expressions of BDNF, DAT, and D1/D2 Receptors in the Cortex and Hippocampus of Rats. Neurotox Res. 2015;28(4):319–31. 10.1007/s12640-015-9549-5 [DOI] [PubMed] [Google Scholar]
- 80.Schwab JM, Chiang N, Arita M, Serhan CN. Resolvin E1 and protectin D1 activate inflammation-resolution programmes. Nature. 2007;447(7146):869–74. 10.1038/nature05877 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 81.Taylor AM, Castonguay A, Taylor AJ, Murphy NP, Ghogha A, Cook C, et al. Microglia disrupt mesolimbic reward circuitry in chronic pain. J Neurosci. 2015;35(22):8442–50. 10.1523/JNEUROSCI.4036-14.2015 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 82.Huang CT, Tsai YJ. Docosahexaenoic acid confers analgesic effects after median nerve injury via inhibition of c-Jun N-terminal kinase activation in microglia. J Nutr Biochem. 2016;29:97–106. 10.1016/j.jnutbio.2015.11.009 [DOI] [PubMed] [Google Scholar]
- 83.Lowe AS, Williams SC, Symms MR, Stolerman IP, Shoaib M. Functional magnetic resonance neuroimaging of drug dependence: naloxone-precipitated morphine withdrawal. Neuroimage. 2002;17(2):902–10. [PubMed] [Google Scholar]
- 84.Erdtmann-Vourliotis M, Mayer P, Riechert U, Grecksch G, Hollt V. Identification of brain regions that are markedly activated by morphine in tolerant but not in naive rats. Brain Res Mol Brain Res. 1998;61(1–2):51–61. [DOI] [PubMed] [Google Scholar]
- 85.Sul JH, Jo S, Lee D, Jung MW. Role of rodent secondary motor cortex in value-based action selection. Nat Neurosci. 2011;14(9):1202–8. 10.1038/nn.2881 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 86.van Elst K, Bruining H, Birtoli B, Terreaux C, Buitelaar JK, Kas MJ. Food for thought: dietary changes in essential fatty acid ratios and the increase in autism spectrum disorders. Neurosci Biobehav Rev. 2014;45:369–78. 10.1016/j.neubiorev.2014.07.004 [DOI] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Data Availability Statement
All relevant data are within the paper and its Supporting Information files.