Marine omega-3 polyunsaturated fatty acids induce sex-specific changes in reinforcer-controlled behaviour and neurotransmitter metabolism in a spontaneously hypertensive rat model of ADHD
- Kine S Dervola1Email author,
- Bjørg Å Roberg1,
- Grete Wøien2,
- Inger Lise Bogen1,
- Torbjørn H Sandvik4,
- Terje Sagvolden^2,
- Christian A Drevon3,
- Espen Borgå Johansen5 and
- Sven Ivar Walaas1
© Dervola et al.; licensee BioMed Central Ltd. 2012
Received: 29 May 2012
Accepted: 28 November 2012
Published: 10 December 2012
Previous reports suggest that omega-3 (n-3) polyunsaturated fatty acids (PUFA) supplements may reduce ADHD-like behaviour. Our aim was to investigate potential effects of n-3 PUFA supplementation in an animal model of ADHD.
We used spontaneously hypertensive rats (SHR). SHR dams were given n-3 PUFA (EPA and DHA)-enriched feed (n-6/n-3 of 1:2.7) during pregnancy, with their offspring continuing on this diet until sacrificed. The SHR controls and Wistar Kyoto (WKY) control rats were given control-feed (n-6/n-3 of 7:1). During postnatal days (PND) 25–50, offspring were tested for reinforcement-dependent attention, impulsivity and hyperactivity as well as spontaneous locomotion. The animals were then sacrificed at PND 55–60 and their neostriata were analysed for monoamine and amino acid neurotransmitters with high performance liquid chromatography.
n-3 PUFA supplementation significantly enhanced reinforcement-controlled attention and reduced lever-directed hyperactivity and impulsiveness in SHR males whereas the opposite or no effects were observed in females. Analysis of neostriata from the same animals showed significantly enhanced dopamine and serotonin turnover ratios in the male SHRs, whereas female SHRs showed no change, except for an intermediate increase in serotonin catabolism. In contrast, both male and female SHRs showed n-3 PUFA-induced reduction in non-reinforced spontaneous locomotion, and sex-independent changes in glycine levels and glutamate turnover.
Feeding n-3 PUFAs to the ADHD model rats induced sex-specific changes in reinforcement-motivated behaviour and a sex-independent change in non-reinforcement-associated behaviour, which correlated with changes in presynaptic striatal monoamine and amino acid signalling, respectively. Thus, dietary n-3 PUFAs may partly ameliorate ADHD-like behaviour by reinforcement-induced mechanisms in males and partly via reinforcement-insensitive mechanisms in both sexes.
Attention deficit hyperactivity disorder (ADHD) which affects ~5% of children is characterized by attention deficit, hyperactivity and impulsiveness, with three times higher prevalence among boys than girls. The etiology of ADHD is unknown, but meta-analyses suggest a strong genetic component based on hereditary estimates in twin-studies of ~76%. Although high, the concordance of monozygotic twins is not perfect, suggesting that environmental factors may act in additive or interactive ways with the genetic influence[5, 6].
The cognitive dysfunction in ADHD may be affected by a lack of omega-3 (n-3) polyunsaturated fatty acids (PUFAs) during embryonic development and early life[7–9]. Although humans are able to synthesize the omega-6 (n-6) fatty acid (FA) arachidonic acid (AA) from linoleic acid (LA), and the n-3 FAs like eicosapentaenoic acid (EPA) and docosahexaenoic acid (DHA) from alpha-linolenic acid (ALA), these processes are slow and ineffective in most mammals, and they are also influenced by different factors like sex hormones, n-6/n-3 intake ratio and saturated fatty acid intake. Specifically, the capacity of males to transform ALA to DHA appears to be very low, and dietary access to DHA may thus perhaps be particularly important for males[11, 12]. From the nutritional and anthropological point of view, humans have developed on a diet with a fair amount of n-3 FAs, whereas many industrial diets contain little of these fatty acids.
A lack of n-3 PUFAs in the diet of children and, conversely, feeding of n-3 PUFA to pregnant women and mothers may influence cognitive abilities in the offspring[14–20], and potentially affect the prevalence of ADHD[21–23]. Experimental studies have suggested that dietary supplementation with n-3 PUFAs may enhance both synaptic development and function[9, 24, 25]. Different fatty acids in neurons and glia cells might change the properties of surface and intracellular membrane compartments, membrane-associated proteins, gene transcription, neurotransmitter metabolism and activities of synaptic vesicles and transporters[13, 26, 27]. Previous work has also indicated a possible link between ADHD and disturbances in dopaminergic function[28–32], with downstream connections to serotonergic and glutamatergic transmissions[33, 34].
In the present study we employed the spontaneously hypertensive rat (SHR), a well validated genetically determined ADHD model[35–37], to examine whether increased access to n-3 PUFAs during pregnancy and development may modulate behavioural symptoms and brain neurotransmitter metabolism. Pregnant SHR dams and their offspring were fed extra n-3 PUFAs, followed by behavioural testing of the offspring in standard operant chambers to monitor reinforcement-controlled levels of activity, impulsivity and attention. Moreover, video-recordings of the animals during operant testing were used to assess general locomotion. Because activity-related behaviours in rodents may be influenced via neurotransmitter interactions between dopamine (DA), serotonin (5-HT) and glutamate (Glu) located in neostriatal synapses[33, 34], we subsequently measured the levels of these transmitters and their metabolites in neostriatal extracts from the very same SHR animals which had been studied behaviourally. Our results indicate that n-3 PUFA feeding may ameliorate reinforcement- and monoamine-dependent ADHD symptoms in a sex-specific manner, whereas other symptoms, independent of reinforcement and possibly correlated to changes in amino acid transmitters, were ameliorated to the same extent in both sexes.
The study was approved by the Norwegian Animal Research Authority, and conducted in accordance with the laws and regulations controlling experiments on live animals in Norway. Spontaneously Hypertensive Rodents (SHR/NCrl) purchased from Charles River, Sulzfeld, Germany, were used as breeding subjects. During the first three weeks of life, the rats were under veterinarian care at the Norwegian Defence Research Establishment (Kjeller, Norway). Dams were caged singly under standard conditions (temperature ~22°C, humidity ~55%, 12 h light/dark cycle), with free access to water. The veterinarian administered feeding of either n-3 PUFA-enriched diet or chow to dams before breeding, under pregnancy and after birth. At postnatal day (PND) 25, 36 rats were shipped to the University of Oslo for behavioral testing. Thereafter, offspring of both sexes were fed similar diets as their parents, until sacrifice at PND 55–60. The weight was measured continously on SHR-rats from each experimantal group troughout the study. In order to obtain the growth rate, body weight was measured continuously on SHR-rats from each experimental group throughout the study. In the males, the n-3 PUFA diet increased the growth rate by 7.7% compared to the control-diet (with p = 0.01 and n = 8 and n= 11 respectively). Whereas n-3 PUFA diet had no effect on the female growth rate (p = 0.1, control diet; n = 10 and n-3 PUFA diet; n = 7).
The experimental group was given a semi-synthetic n-3 enriched feed, as described in Rokling-Andersen et al. 2009. This feed was high on the essential n-3 PUFAs EPA and DHA with 9.1% (w/w) lard and 10.4% Triomar (EPAX5500) delivered by Pronova Biocare, Lysaker, Norway. Triomar contained 55% of total n-3 FA as TAG including EPA, 300 mg/g; DHA, 190 mg/g; total n-3 FA, 580 mg/g (made up of EPA, DHA, ALA, stearidonic acid, eicosatetraenoic acid, heneicosapentaenoic acid, and docosapentaenoic acid). This dose represents about 3.6% of total energy intake of the rats and is comparable to traditional Inuit intake of marine FA. In addition, 1.5% of soybean oil (Mills Soyaolje; Denofa Lilleborg, Fredrikstad, Norway) was provided to avoid essential n-6 FA deficiency.
The dietary composition (g/100 g food) was: total fat, 21; sucrose, 20; starch, 31.5; protein, 20; cellulose, 1; vitamin mixture, 1.5 and salt mixture, 5. Vitamin (Cat No: 904654) and salt mixture (Cat No: USP XVII) was bought from MP Biochemicals LLC. The feed was kept at −20 °C and given to the rats in portions sufficient for 1 day supply.
The control SHRs were given lab chow (RM3 (E) from Special Diet Services, Witham, Essex CM8 3 AD, UK,http://www.sdsdiets.com/pdfs/RM3-E-FG.pdf). This feed is low on EPA and DHA, and has a n-6 to n-3 ratio of about 7:1. The fatty acid composition of this feed (w/w) were as follows: saturated fatty acids: lauric acid, 0.5 mg/g; myristic acid, 2 mg/g; palmitic acid, 3.6 mg/g; stearic acid, 0.9 mg/g and monounsaturated fatty acids: myristoleic acid, 0.1 mg/g; palmitoleic acid, 1.3 mg/g; oleic acid, 10.3 mg/g and PUFAs: LA, 11.5 mg/g; ALA, 1.7 mg/g; AA, 2.2 mg/g; docosapentaenoic acid, 0.4 mg/g. The dietary composition (g/100 g food) was: total fat, 4.2; sucrose, 5.7; starch, 33.9; protein, 22.4; cellulose, 3.9; hemicellulose, 9.2; dietary fibre, 15.4; vitamin mixture, 0.5 and salt mixture, 4.6. The diet was kept at −20 °C until fed to the animals.
The reinforcement was given using either a fixed time schedule of reinforcement (FT), continuous reinforcement schedule (CRF) or a variable interval schedule of reinforcement (VI)
Habituation, 30 min
Magazine training, 30 min
2 – 3
FT 10 seconds
4 – 5
Shaping of lever-pressing
6 – 7
30 minutes session
8 – 13
VI 3 seconds
90 minutes session, 16 chambers
14 – 41
VI 180 seconds
A total of 36 animals were tested using a two-lever visual discrimination task with one session each day for 34 days (the last 28 sessions were used in the analyses). The animals were also video-recorded during the operant task in sessions 13, 24, and 34 to monitor spontaneous locomotion, and the results were averaged for each rat. The n-3 PUFA-fed group included 8 males and 7 females, whereas 11 males and 10 females served as control-fed reference animals. Testing of the experimental and control groups took place at different time points. During habituation and response acquisition, two offsprings were housed in one transparent cage 41 × 25 × 25 cm (height), whereas during response acquisition and throughout the rest of the study, the animals were housed individually in the same type of cages. The rats had free access to water during the habituation sessions, following which they were deprived of water for 21 h a day throughout the rest of the study. The behavioural testing took place between 0900 and 1400 h.
Table1: Summary of the behavioural procedures and reinforcement schedule.
The animals were tested in 16 operant chambers (Campden Instruments) enclosed in sound-resistant outer housings[39, 41]. The chambers were ventilated and equipped with a grid floor, and the animals’ working space was 25 × 25 × 30 (height) cm. The chambers were equipped with two retractable levers requiring a dead weight of at least 3 g to activate a micro-switch. A 2.8 W cue light was located above each lever. The reinforcer (0.05 mL tap water) was delivered by a liquid dipper located in a small recessed cubicle, where a 2.8 W cue light lit up. A 7 × 5 cm transparent plastic top-hinged flap separated the cubicle from the animal’s working space. The computer program LabVIEW 7.1 (National Instruments LabVIEW, Austin, Texas, USA, 2004) recorded the behaviour and scheduled reinforcements and lights. Each operant chamber was equipped with a video camera (Mini Color Hidden Cameras (420TVL, 0,1lux) from Tracer Technology Co. Ltd, Taiwan) positioned to capture the entire working space, in the upper rear corner of the ceiling at an angle of 45 o. The DVR Live Capture computer program (Novus Security, 2009, Warsaw, Poland) controlled the cameras and saved the video files for analyses.
Prior to behavioural testing, the rats were semi-randomly assigned an operant chamber. Following habituation in the operant chamber, the animals were trained to lever-press and then run for additional sessions to strengthen the newly learned behaviour. In the operant task, two levers were used. Pressing the lever, which was signalled by a lit cue light located above the lever, produced reinforcements according to a variable interval 180 s schedules of reinforcement (VI 180 s). During this period, the cue light above the alternative lever was off, and lever press had no consequences. During reinforcer delivery, the cue light above the lever was turned off, and a 2.8 W cue light was lit in the water cubicle. The lever producing reinforcers alternated unpredictably between the two lever-alternatives, but stayed the same until a reinforcer was produced by a lever-press. Following reinforcer delivery, the computer program semi-randomly selected which lever would produce the next reinforcer. To avoid development of lever-preferences, the program allowed a maximum of four consecutive reinforcers on the same lever.
Measure of reinforcement-controlled behaviour
Recording was made of number of presses on the reinforcer-producing lever and on the alternative lever, number of reinforcers produced and collected, and the time of the events. Percentage of responses on the lever producing reinforcers (for all responses, and for the first response following reinforcer delivery), and the time between two responses (inter-response time, IRT), were calculated. Attention was operationalized as the percentage of responses on that lever which produced reinforcers (the animal had to pay attention to and press the lever signalled by the lit cue light above the lever, i.e. stimulus control). Hyperactivity was operationalized as the total number of lever-presses on the two levers combined. The IRTs were split into responses with IRTs longer than 0.67 s and shorter than 0.67 s. Number of responses with short IRTs (< 0.67 s) was used as a measure of impulsivity (“premature responding” or “inability to wait”).
The animals were video-recorded during the operant task in 3 sessions, which were chosen to represent the spontaneous activity early, in the middle of and late in the experimental testing period. The cameras recorded 15 frames per second, and frame-to-frame analyses of changes in pixels, which occurred whenever the animal moved, were performed by using the computer program Musical Gestures Toolbox for audio and video analysis. The total number of pixel-changes was used to quantitate movements. Each of the 3 sessions was divided into 5 segments in order to analyse within-session changes in locomotion in the experimental and control groups. To reduce noise, pixel-changes were averaged across 15 frames and a noise reduction threshold (0.25) and filter (8) were used.
Analysis of behavioural data
All statistical analyses were performed in Statistica 6.0 (StatSoft. Statistica for Windows, StatSoft Inc., Tulsa, OK, 2005). Data were evaluated either by multivariate analyses using Wilks lambda (MANOVAs) when the degrees of freedom relative to the number of levels of the repeated factor permitted this approach, or by univariate analyses of variance (ANOVAs), adjusting the degrees of freedom with the Huynh–Feldt epsilon. Sessions were used as the within-individual factor in the operant task, whereas sessions and segments were used as the within-individual factor in the video analyses. n-3 PUFA-feeding was used as the between-individuals factor in both analyses. Session were included as a factor to look for changes in behaviour across development. Post-hoc tests on main effects were performed using the Unequal N HSD test. Preparation of graphs was performed using Prism (GraphPad Software Inc.) and the graphs represent means ± SEM for each group (n = 7–11).
Monoamine and amino acid analyses were done with high performance liquid chromatography (HPLC). L-amino acid standards, including aspartic acid (Asp), glutamic acid (Glu), serine (Ser), glutamine (Gln) and glycine (Gly) were obtained from Pierce (Rockford, Ill., USA), whereas taurine (Tau), γ-amino butyric acid (GABA), and α-amino adipic acid were from Sigma (Sigma-Aldrich, Steinheim, Germany). The monoamine standards dopamine (DA), homovanillic acid (HVA), serotonin (5-HT), 5-hydroxyindole-3-acetic acid (HIAA) and 3,4-hydroxybenzylamine (DHBA), as well as HClO4 and ascorbic acid were also obtained from Sigma. The BCA-assay kit (Thermo-Scientific, Rockford, USA), and n-hexane (Merck, Darmstadt, Germany) were bought from VWR. Solutions were made with purified distilled water (Milli-Q Advantage A10, Millipore).
Following behavioural testing, the SHR rats as well as age-matched Wistar Kyoto rats (WKY/NHsd) were stunned and rapidly decapitated at PND 55–60 (the WKY/NHsd were used as additional reference strain in the biochemical analyses). The neostriata were removed, frozen in liquid N2, and stored at −70°C until sample preparation and analyses.
Extract preparation and protein assay
The tissues were rapidly weighed and homogenized by hand with 20 strokes in 500 μL ice cold 0.2 M HClO4, using a glass/teflon Potter-Elvehjem homogenizer. This suspension was mixed with an equal volume of DHBA (used as internal standard for monoamines) in 0.12 mM ascorbic acid to a final concentration of 0.227 μM DHBA. The homogenates were centrifuged for 20 min at 15000 × g at 2 °C in a Sorvall RMC-14-microcentrifuge. The pellets were frozen at −40 °C for later protein determination, performed by dissolving pellets in 0.1 M NaOH and measuring protein content by the BCA assay. The supernatants were extracted with equal volumes of n-hexane to reduce lipid contamination, and the top layer was discharged. For amino acid analyses, parts of the delipidized HClO4 extracts were mixed with a solution of α-amino adipic acid (used as internal standard) to a final concentration of 10 μM in a total volume of 1.9 mL. These extracts were neutralized to pH 7.2 with ice cold KOH and centrifuged for 20 min at 15000 × g at 2 °C as described above. The supernatants were stored at −70 °C until analyses. The samples were then transferred into glass-vials by filtering through Nylon-66 micro filters (0.22 μm) from Nalgene (Rochester, New York, USA), before HPLC analysis.
Amino acid analysis
Using a Chromspher 5 C18 column of 25 cm length and 4.6 mm inner diameter (Varian), total amino acids in the neostriatum extracts were analysed, using reversed-phase HPLC fitted with a fluorescence detector (Shimadzu, Kyoto, Japan) after derivatization with o-phthaldialdehyde (OPA; Sigma). The mobile phase comprised 75% 50 mM phosphate buffer, pH 5.25, and 25% methanol (v/v), changing linearly to 25% phosphate buffer and 75% methanol during 26.5 min, after which the methanol concentration was linearly reduced to 15%. Each sample was eluted for 45 min with a flow rate at 0.4 mL/min and a representative chromatogram is shown in Figure1a. A mixture of the amino acids of interest was used as external standards in a concentration of 100 μM. The chromatograms were analysed using the software Lab Solutions (Shimadzu). Amino acid concentrations are expressed in nmol/mg total neostriatal protein.
Statistical significance of biochemical differences between samples was determined by unpaired, two-tailed Student’s t-test, where p < 0.05 is defined as significant. Level of significance is symbolized with * (p-value ≤ 0.05), ** (p-value ≤ 0.01 and *** (p-value ≤ 0.001). Statistical analyses as well as preparation of graphs were performed using Prism (GraphPad Software Inc), and the graphs display the means ± SEM for each group (n = 4–8).
No statistically significant effects were observed during analyses of number of reinforcers collected. Out of the possible 30 reinforcers per session, the mean number of reinforcers collected was similar in all groups across sessions, and ranged from 28.3 (n-3 PUFA-treated males, session 27) to 29 (control-fed male SHRs, session 6).
Number of responses with short IRTs was decreased in n-3 PUFAs supplemented males but increased in n-3 PUFA supplemented females (Figure2c). The analyses showed a significant main effect of session (F(2,31) = 4.23; p = 0.02) and a significant sex × feed condition interaction (F(1,32) = 5.81; p = 0.02). Also, a significant sex × feed condition × session interaction was found (F(2,31) = 5.60; p < 0.01). No significant effects were observed in the post-hoc analyses of the significant sex × feed condition interaction effect using the Unequal N HSD test.
Supplementation with n-3 PUFAs reduced lever-directed hyperactivity in males and increased hyperactivity in females (Figure2d). The analyses showed significant main effects of sex (F(1,32) = 6.23; p = 0.02), session (F(2,31) = 8.62; p < 0.01) and a significant sex × feed condition interaction (F(1,32) = 4.94; p = 0.03). Unequal N post-hoc analyses of the significant sex × food condition interaction showed that control-fed SHR males emitted significantly more lever-presses than control-fed female SHRs (p = 0.01).
Taken together, n-3 PUFA supplementation significantly enhanced reinforcement-controlled attention (Figure2a-b) and reduced lever-directed hyperactivity (Figure2d) and impulsivity in SHR males (Figure2c), whereas the opposite or no effects were observed in females (Figure2c-d). In contrast, general locomotion was reduced by n-3 PUFA-feeding to a similar extent in both sexes (Figure3).
Amino acid transmitters
In contrast to the glycinergic system, n-3 PUFA feeding had no significant effect on GABA levels in the SHR of either sex. Hence, the diet-induced major changes in excitatory glutamatergic fibers as well as the modulatory dopaminergic and serotoninergic synaptic inputs to the neostriatal cells seen in the SHR animals (see above), did not lead to major changes in the local GABAergic transmission present in neostriatum.
Finally, the levels of Asp and Ser were unchanged by dietary n-3 PUFAs in both male and female SHRs. Moreover, although the concentration of taurine (Tau) appeared to respond to n-3 PUFA feeding by decreasing levels in both male and female SHRs, these changes were not significant (p = 0.08 and 0.065 respectively). A potential effect of Tau in modulating DA release in the ventral striatum, of importance for reinforcement mechanisms and possibly ADHD in the SHR, therefore remains uncertain. These data also support the idea that n-3 PUFA supplementation predominantly affects synaptically active amino acids and not general amino acid metabolism.
In this study, dietary n-3 PUFA supplementation to SHRs was associated with two distinct types of changes in ADHD-like behaviours which occured in synchrony with changes in neurotransmitter systems. One of these included reduced levels of reinforcer-controlled activity, impulsiveness and inattention in male SHR, with no or opposite effects in the female SHRs. Neurotransmitter dynamics in neostriatum of these animals were also changed, showing enhanced DA and 5-HT turnover, which again were predominantly seen in male SHRs. In contrast, the other change included a reduction in general locomotor activity in both SHR sexes, which appeared to correlate with changes in levels of several neuroactive amino acids in both male and female SHRs. Thus, our data indicate major sex-specific effects on neurotransmitter systems in the PUFA-fed animals, with the males having unique enhancements of both DA and 5-HT in the neostriatum. Although the 5-HT degradation product 5-HIAA also was significantly increased in females, with a similar turnover ratio to that seen in males, the turnover in female SHRs was not statistically significant. Even though the mechanisms behind these effects of n-3 PUFAs are unclear[9, 27, 54, 55], our data correlate well with the behavioural observations, which also showed sex differences, with males improving on all operant measures, whereas females did not. This similarity suggests a possible causal relation between the n-3 PUFA-induced increase of modulatory neurotransmission and improved behaviour.
Reinforcement mechanisms in the CNS are mostly mediated via DA synapses[57–59], which are heavily concentrated in neostriatal brain regions, particularly in the dorsal and ventral caudate-putamen. Here, excitatory Glu inputs from cerebral cortex and thalamus predominantly terminate on efferent GABAergic cells, with the widely distributed DA and 5-HT modulatory synaptic inputs from the brain stem having the ability to modulate the efficacy of the Glu-to-GABA synapses, thereby determining to what extent efferent GABAergic information will be transmitted out of the basal ganglia. This synaptic effect, mediated trough an undefined mechanism being involved in the neurobiological changes occurring in the n-3 PUFA-fed animals, may suggest enhanced action potential firing frequencies, structural synaptic changes (e.g. increased number of vesicles or synapses) or enhanced biochemical capacity, vesicle storage capacity or enhanced neurotransmitter levels[62–66].
In contrast, effects on locomotion appear to represent a distinct target, with general, non-operant locomotion activities being sensitive to n-3 PUFAs in both sexes. Given that the locomotion occurred continuously during the operant test, and that frame-to-frame analyses of video-recordings detected changes in pixels whenever the animals moved, it is clear that this measure reflected both operant behaviour controlled by the scheduled reinforcers as well as general movements. The interpretation that operant behaviour and video-measured locomotion represent two distinct phenomena is also supported by the dissociation of reinforcement-controlled lever pressing and changes in the video-measured locomotion observed in female SHRs, where n-3 PUFA feeding increased levels of operant responses but reduced initial video-measured locomotion.
Because the PUFA-induced reduction in non-operant behaviour locomotor activity occurred in both sexes, it is of great interest that those neuroactive transmitter amino acids which responded to n-3 PUFAs also showed similar patterns in the two sexes. Specifically, these included reduced plasma levels of Glu and enhanced levels of Gly, with no changes in Gln and GABA. Because the Gln/Glu ratio was significantly increased, glutamatergic neurotransmission in neostriatum of the SHRs may be enhanced by dietary n-3 PUFA supplementation in both sexes. Previous analysis has suggested that motor activity may be modulated by Glu receptor activation, in agreement with our observations.
The levels of Gly showed similar differences as those found in the Gln/Glu ratios; with low levels in the control-fed SHRs, and PUFA-induced increase in levels seen in both SHR sexes. Although Gly receptors are present in the rat striatum, and are proposed to modulate both cholinergic, dopaminergic and glutamatergic transmission[67–69], the importance of increased Gly levels in the striata of n-3 PUFA supplemented SHRs remains unknown[70–73]. Previous work has also indicated changes in Tau levels in male SHRs when compared to WKY controls, suggesting a possible role for Tau in association with ADHD. Indeed, Tau changes may lead to impaired regulation of Gly, GABA and/or DA signalling[52, 75–78]. However, Tau levels were only insignificantly reduced following n-3 PUFA feeding, making it unlikely that these changes represent an important mechanism for mediating n-3 PUFA-induced amelioration.
Finally, the PUFA-induced normalization of the Gln/Glu ratios as well as Gly levels, which occur in both female and male SHRs, is of considerable interest. This contrasts to the major PUFA-induced changes found in the DA and 5-HT turnover, seen predominantly in the male SHRs. Intuitively, these dietary effects of n-3 PUFA in ADHD models like SHR would be expected to normalize both groups of neurotransmitters. However, given the well-known distinct functional organizations of the quantitatively predominant amino acidergic synapses in the neostriatum as compared to the minor but widespread modulatory monoaminergic synaptic systems, our data appear consistent with the interpretation that n-3 PUFA feeding induced strong activation of the modulatory DA and 5-HT systems in order to normalize the functionally more important amino acidergic neurotransmitter systems. It should also be emphasized that our study only represents a small number of possible factors involved in ADHD-development. Moreover, other studies have also observed sex differences in other important neurochemical parameters like the dopamine D1 and D2 receptors, or monoamine-catabolizing enzymes like COMT[81, 82]. Finally, a potential weakness of our study is that the control group is fed considerably less fat than the n-3 PUFA-fed group. However, recent studies demonstrated that adult male Long Evans rats given a high-fat diet developed a decrease, not an increase in their DA turnover in the ventral striatum, making it highly unlikely that the high-fat diet per se employed in this study is responsible for the enhancement of DA turnover which occures in the male SHRs.
Our study indicates that dietary supplementation of n-3 PUFA to SHR dams and their offspring induces two distinct sets of changes in the offsprings: The first included activation of presynaptic neostriatal DA and 5-HT signalling as well as several reinforcement mechanisms, all restricted to the male SHR, suggesting that this effect may preferentially improve male ADHD-like symptoms; In contrast the second included a non-reinforcement but PUFA-induced improvement in behavioural responses in both male and female ADHD animals, and changing amino acid transmitters to the same extent in both sexes. Thus, n-3 PUFA may partly ameliorate ADHD-like behaviour via reinforcer-induced systems restricted to males, and partly via reinforcer-insensitive systems present in both sexes.
This study was supported by the Letten Foundation, the Jahre Foundation for Medical Research, and the Freia Medical Research Fund, Oslo. Bioengineer Anne Randi Enget contributed to preparation of the experimental diet and Frode Fonnum contributed with helpful scientific discussion.
- Polanczyk G, de Lima MS, Horta BL, Biederman J, Rohde LA: The worldwide prevalence of ADHD: a systematic review and metaregression analysis. Am J Psychiatry. 2007, 164: 942-948. 10.1176/appi.ajp.164.6.942.View ArticlePubMedGoogle Scholar
- American Psychiatric Association: Diagnostic and statistical manual of mental disorders. 2000, Washington DC: American Psychiatric Association, text revision edn, 4Google Scholar
- Sagvolden T, Johansen EB, Aase H, Russell VA: A dynamic developmental theory of attention-deficit/hyperactivity disorder (ADHD) predominantly hyperactive/impulsive and combined subtypes. Behav Brain Sci. 2005, 28: 397-419.View ArticlePubMedGoogle Scholar
- Faraone SV, Perlis RH, Doyle AE, Smoller JW, Goralnick JJ, Holmgren MA: Molecular genetics of attention-deficit/hyperactivity disorder. Biol Psychiatry. 2005, 57: 1313-1323. 10.1016/j.biopsych.2004.11.024.View ArticlePubMedGoogle Scholar
- Caspi A, Moffitt TE: Gene-environment interactions in psychiatry: joining forces with neuroscience. Nat Rev Neurosci. 2006, 7: 583-590.View ArticlePubMedGoogle Scholar
- Willcutt EG, Pennington BF, Olson RK, DeFries JC: Understanding comorbidity: a twin study of reading disability and attention-deficit/hyperactivity disorder. Am J Med Genet B Neuropsychiatr Genet. 2007, 144B: 709-714. 10.1002/ajmg.b.30310.View ArticlePubMedGoogle Scholar
- McNamara RK, Carlson SE: Role of omega-3 fatty acids in brain development and function: potential implications for the pathogenesis and prevention of psychopathology. Prostaglandins Leukot Essent Fatty Acids. 2006, 75: 329-349. 10.1016/j.plefa.2006.07.010.View ArticlePubMedGoogle Scholar
- Cole GM, Ma QL, Frautschy SA: Omega-3 fatty acids and dementia. Prostaglandins Leukot Essent Fatty Acids. 2009, 81: 213-221. 10.1016/j.plefa.2009.05.015.PubMed CentralView ArticlePubMedGoogle Scholar
- Cao D, Kevala K, Kim J, Moon HS, Jun SB, Lovinger D: Docosahexaenoic acid promotes hippocampal neuronal development and synaptic function. J Neurochem. 2009, 111: 510-521. 10.1111/j.1471-4159.2009.06335.x.PubMed CentralView ArticlePubMedGoogle Scholar
- Pawlosky RJ, Hibbeln JR, Novotny JA, Salem N: Physiological compartmental analysis of alpha-linolenic acid metabolism in adult humans. J Lipid Res. 2001, 42: 1257-1265.PubMedGoogle Scholar
- Burdge GC, Wootton SA: Conversion of alpha-linolenic acid to eicosapentaenoic, docosapentaenoic and docosahexaenoic acids in young women. Br J Nutr. 2002, 88: 411-420. 10.1079/BJN2002689.View ArticlePubMedGoogle Scholar
- Burdge GC, Jones AE, Wootton SA: Eicosapentaenoic and docosapentaenoic acids are the principal products of alpha-linolenic acid metabolism in young men*. Br J Nutr. 2002, 88: 355-363. 10.1079/BJN2002662.View ArticlePubMedGoogle Scholar
- Drevon CA: Marine oils and their effects. Nutr Rev. 1992, 50: 38-45.View ArticlePubMedGoogle Scholar
- Birch EE, Garfield S, Hoffman DR, Uauy R, Birch DG: A randomized controlled trial of early dietary supply of long-chain polyunsaturated fatty acids and mental development in term infants. Dev Med Child Neurol. 2000, 42: 174-181. 10.1017/S0012162200000311.View ArticlePubMedGoogle Scholar
- Helland IB, Smith L, Saarem K, Saugstad OD, Drevon CA: Maternal supplementation with very-long-chain n-3 fatty acids during pregnancy and lactation augments children’s IQ at 4 years of age. Pediatrics. 2003, 111: e39-e44. 10.1542/peds.111.1.e39.View ArticlePubMedGoogle Scholar
- Helland IB, Smith L, Blomen B, Saarem K, Saugstad OD, Drevon CA: Effect of supplementing pregnant and lactating mothers with n-3 very-long-chain fatty acids on children’s IQ and body mass index at 7 years of age. Pediatrics. 2008, 122: e472-e479. 10.1542/peds.2007-2762.View ArticlePubMedGoogle Scholar
- Henriksen C, Haugholt K, Lindgren M, Aurvag AK, Ronnestad A, Gronn M: Improved cognitive development among preterm infants attributable to early supplementation of human milk with docosahexaenoic acid and arachidonic acid. Pediatrics. 2008, 121: 1137-1145. 10.1542/peds.2007-1511.View ArticlePubMedGoogle Scholar
- Willatts P, Forsyth JS, DiModugno MK, Varma S, Colvin M: Influence of long-chain polyunsaturated fatty acids on infant cognitive function. Lipids. 1998, 33: 973-980. 10.1007/s11745-998-0294-7.View ArticlePubMedGoogle Scholar
- Bloch MH, Qawasmi A: Omega-3 fatty acid supplementation for the treatment of children with attention-deficit/hyperactivity disorder symptomatology: systematic review and meta-analysis. J Am Acad Child Adolesc Psychiatry. 2011, 50: 991-1000. 10.1016/j.jaac.2011.06.008.PubMed CentralView ArticlePubMedGoogle Scholar
- Millichap JG, Yee MM: The diet factor in attention-deficit/hyperactivity disorder. Pediatrics. 2012, 129: 330-337. 10.1542/peds.2011-2199.View ArticlePubMedGoogle Scholar
- Antalis CJ, Stevens LJ, Campbell M, Pazdro R, Ericson K, Burgess JR: Omega-3 fatty acid status in attention-deficit/hyperactivity disorder. Prostaglandins Leukot Essent Fatty Acids. 2006, 75: 299-308. 10.1016/j.plefa.2006.07.004.View ArticlePubMedGoogle Scholar
- Dopheide JA, Pliszka SR: Attention-deficit-hyperactivity disorder: an update. Pharmacotherapy. 2009, 29: 656-679. 10.1592/phco.29.6.656.View ArticlePubMedGoogle Scholar
- Peet M, Stokes C: Omega-3 fatty acids in the treatment of psychiatric disorders. Drugs. 2005, 65: 1051-1059. 10.2165/00003495-200565080-00002.View ArticlePubMedGoogle Scholar
- Kim HY, Moon HS, Cao D, Lee J, Kevala K, Jun SB: N-Docosahexaenoylethanolamide promotes development of hippocampal neurons. Biochem J. 2011, 435: 327-336. 10.1042/BJ20102118.PubMed CentralView ArticlePubMedGoogle Scholar
- Su HM: Mechanisms of n-3 fatty acid-mediated development and maintenance of learning memory performance. J Nutr Biochem. 2010, 21: 364-373. 10.1016/j.jnutbio.2009.11.003.View ArticlePubMedGoogle Scholar
- Levant B, Ozias MK, Carlson SE: Sex-specific effects of brain LC-PUFA composition on locomotor activity in rats. Physiol Behav. 2006, 89: 196-204. 10.1016/j.physbeh.2006.06.007.View ArticlePubMedGoogle Scholar
- Chalon S, Vancassel S, Zimmer L, Guilloteau D, Durand G: Polyunsaturated fatty acids and cerebral function: focus on monoaminergic neurotransmission. Lipids. 2001, 36: 937-944. 10.1007/s11745-001-0804-7.View ArticlePubMedGoogle Scholar
- Aghajanian GK, Rosecrans JA, Sheard MH: Serotonin: release in the forebrain by stimulation of midbrain raphe. Science. 1967, 156: 402-403. 10.1126/science.156.3773.402.View ArticlePubMedGoogle Scholar
- Tripp G, Wickens J: Reinforcement. 2012, Neurotherapeutics: Dopamine and Rodent Models in Drug Development for ADHDGoogle Scholar
- Kebir O, Joober R: Neuropsychological endophenotypes in attention-deficit/hyperactivity disorder: a review of genetic association studies. Eur Arch Psychiatry Clin Neurosci. 2011, 261: 583-594. 10.1007/s00406-011-0207-5.View ArticlePubMedGoogle Scholar
- Arnsten AF, Pliszka SR: Catecholamine influences on prefrontal cortical function: relevance to treatment of attention deficit/hyperactivity disorder and related disorders. Pharmacol Biochem Behav. 2011, 99: 211-216. 10.1016/j.pbb.2011.01.020.PubMed CentralView ArticlePubMedGoogle Scholar
- Russell VA: Dopamine hypofunction possibly results from a defect in glutamate-stimulated release of dopamine in the nucleus accumbens shell of a rat model for attention deficit hyperactivity disorder–the spontaneously hypertensive rat. Neurosci Biobehav Rev. 2003, 27: 671-682. 10.1016/j.neubiorev.2003.08.010.View ArticlePubMedGoogle Scholar
- Gainetdinov RR, Mohn AR, Bohn LM, Caron MG: Glutamatergic modulation of hyperactivity in mice lacking the dopamine transporter. Proc Natl Acad Sci U S A. 2001, 98: 11047-11054. 10.1073/pnas.191353298.PubMed CentralView ArticlePubMedGoogle Scholar
- Gainetdinov RR: Strengths and limitations of genetic models of ADHD. Atten Defic Hyperact Disord. 2010, 2: 21-30. 10.1007/s12402-010-0021-3.View ArticlePubMedGoogle Scholar
- Sagvolden T: Behavioral validation of the spontaneously hypertensive rat (SHR) as an animal model of attention-deficit/hyperactivity disorder (AD/HD). Neurosci Biobehav Rev. 2000, 24: 31-39. 10.1016/S0149-7634(99)00058-5.View ArticlePubMedGoogle Scholar
- Sagvolden T, Russell VA, Aase H, Johansen EB, Farshbaf M: Rodent models of attention-deficit/hyperactivity disorder. Biol Psychiatry. 2005, 57: 1239-1247. 10.1016/j.biopsych.2005.02.002.View ArticlePubMedGoogle Scholar
- Sagvolden T, Johansen EB, Woien G, Walaas SI, Storm-Mathisen J, Bergersen LH: The spontaneously hypertensive rat model of ADHD–the importance of selecting the appropriate reference strain. Neuropharmacology. 2009, 57: 619-626. 10.1016/j.neuropharm.2009.08.004.PubMed CentralView ArticlePubMedGoogle Scholar
- Chalon S: Omega-3 fatty acids and monoamine neurotransmission. Prostaglandins Leukot Essent Fatty Acids. 2006, 75: 259-269. 10.1016/j.plefa.2006.07.005.View ArticlePubMedGoogle Scholar
- Sagvolden T, Xu T: l-Amphetamine improves poor sustained attention while d-amphetamine reduces overactivity and impulsiveness as well as improves sustained attention in an animal model of Attention-Deficit/Hyperactivity Disorder (ADHD). Behav Brain Funct. 2008, 4: 3-10.1186/1744-9081-4-3.PubMed CentralView ArticlePubMedGoogle Scholar
- Rokling-Andersen MH, Rustan AC, Wensaas AJ, Kaalhus O, Wergedahl H, Rost TH: Marine n-3 fatty acids promote size reduction of visceral adipose depots, without altering body weight and composition, in male Wistar rats fed a high-fat diet. Br J Nutr. 2009, 102: 995-1006. 10.1017/S0007114509353210.View ArticlePubMedGoogle Scholar
- Johansen EB, Knoff M, Fonnum F, Lausund PL, Walaas SI, Woien G: Postnatal exposure to PCB 153 and PCB 180, but not to PCB 52, produces changes in activity level and stimulus control in outbred male Wistar Kyoto rats. Behav Brain Funct. 2011, 7: 18-10.1186/1744-9081-7-18.PubMed CentralView ArticlePubMedGoogle Scholar
- Jensenius AR, Godøy RI, Wanderley MM: Developing Tools for Studying Musical Gestures within the (Max/MSP/Jitter) Environment, 282-285. Proceedings of the International Computer Music Conference. 2005, Barcelona, 4-10.Google Scholar
- Myers JL, Well AD: Research design and statistical analysis. 2003, Mahwah, NJ: Lawrence Erlbaum AssociatesGoogle Scholar
- Smith PK, Krohn RI, Hermanson GT, Mallia AK, Gartner FH, Provenzano MD: Measurement of protein using bicinchoninic acid. Anal Biochem. 1985, 150: 76-85. 10.1016/0003-2697(85)90442-7.View ArticlePubMedGoogle Scholar
- Hassel B, Bachelard H, Jones P, Fonnum F, Sonnewald U: Trafficking of amino acids between neurons and glia in vivo. Effects of inhibition of glial metabolism by fluoroacetate. J Cereb Blood Flow Metab. 1997, 17: 1230-1238.View ArticlePubMedGoogle Scholar
- Hallman H, Jonsson G: Neurochemical studies on central dopamine neurons–regional characterization of dopamine turnover. Med Biol. 1984, 62: 198-209.PubMedGoogle Scholar
- Jones MW, Kilpatrick IC, Phillipson OT: The agranular insular cortex: a site of unusually high dopamine utilisation. Neurosci Lett. 1986, 72: 330-334. 10.1016/0304-3940(86)90536-7.View ArticlePubMedGoogle Scholar
- Bustillo JR, Rowland LM, Mullins P, Jung R, Chen H, Qualls C: 1H-MRS at 4 tesla in minimally treated early schizophrenia. Mol Psychiatry. 2010, 15: 629-636. 10.1038/mp.2009.121.PubMed CentralView ArticlePubMedGoogle Scholar
- Ongur D, Haddad S, Prescot AP, Jensen JE, Siburian R, Cohen BM: Relationship between genetic variation in the glutaminase gene GLS1 and brain glutamine/glutamate ratio measured in vivo. Biol Psychiatry. 2011, 70: 169-174. 10.1016/j.biopsych.2011.01.033.PubMed CentralView ArticlePubMedGoogle Scholar
- Johnson JW, Ascher P: Glycine potentiates the NMDA response in cultured mouse brain neurons. Nature. 1987, 325: 529-531. 10.1038/325529a0.View ArticlePubMedGoogle Scholar
- Kleckner NW, Dingledine R: Requirement for glycine in activation of NMDA-receptors expressed in Xenopus oocytes. Science. 1988, 241: 835-837. 10.1126/science.2841759.View ArticlePubMedGoogle Scholar
- Ericson M, Molander A, Stomberg R, Soderpalm B: Taurine elevates dopamine levels in the rat nucleus accumbens; antagonism by strychnine. Eur J Neurosci. 2006, 23: 3225-3229. 10.1111/j.1460-9568.2006.04868.x.View ArticlePubMedGoogle Scholar
- Iversen LL, Iversen SD, Bloom FE, Roth RH: Introduction to neuropsychopharmacology. 2009, New York: Oxford University Press, IncView ArticleGoogle Scholar
- Cao D, Xue R, Xu J, Liu Z: Effects of docosahexaenoic acid on the survival and neurite outgrowth of rat cortical neurons in primary cultures. J Nutr Biochem. 2005, 16: 538-546. 10.1016/j.jnutbio.2005.02.002.View ArticlePubMedGoogle Scholar
- Kuperstein F, Eilam R, Yavin E: Altered expression of key dopaminergic regulatory proteins in the postnatal brain following perinatal n-3 fatty acid dietary deficiency. J Neurochem. 2008, 106: 662-671. 10.1111/j.1471-4159.2008.05418.x.View ArticlePubMedGoogle Scholar
- Walaas SI, Hemmings HC, Greengard P, Nairn AC: Beyond the dopamine receptor: regulation and roles of serine/threonine protein phosphatases. Front Neuroanat. 2011, 5: 50-PubMed CentralView ArticlePubMedGoogle Scholar
- Waelti P, Dickinson A, Schultz W: Dopamine responses comply with basic assumptions of formal learning theory. Nature. 2001, 412: 43-48. 10.1038/35083500.View ArticlePubMedGoogle Scholar
- Schultz W: Predictive reward signal of dopamine neurons. J Neurophysiol. 1998, 80: 1-27.PubMedGoogle Scholar
- Pan WX, Schmidt R, Wickens JR, Hyland BI: Dopamine cells respond to predicted events during classical conditioning: evidence for eligibility traces in the reward-learning network. J Neurosci. 2005, 25: 6235-6242. 10.1523/JNEUROSCI.1478-05.2005.View ArticlePubMedGoogle Scholar
- Yung KK, Smith AD, Levey AI, Bolam JP: Synaptic connections between spiny neurons of the direct and indirect pathways in the neostriatum of the rat: evidence from dopamine receptor and neuropeptide immunostaining. Eur J Neurosci. 1996, 8: 861-869. 10.1111/j.1460-9568.1996.tb01573.x.View ArticlePubMedGoogle Scholar
- Fienberg AA, Hiroi N, Mermelstein PG, Song W, Snyder GL, Nishi A: DARPP-32: regulator of the efficacy of dopaminergic neurotransmission. Science. 1998, 281: 838-842.View ArticlePubMedGoogle Scholar
- Rodrigues TB, Granado N, Ortiz O, Cerdan S, Moratalla R: Metabolic interactions between glutamatergic and dopaminergic neurotransmitter systems are mediated through D(1) dopamine receptors. J Neurosci Res. 2007, 85: 3284-3293. 10.1002/jnr.21302.View ArticlePubMedGoogle Scholar
- Goldstein M, Lieberman A: The role of the regulatory enzymes of catecholamine synthesis in Parkinson’s disease. Neurology. 1992, 42: 8-12.PubMedGoogle Scholar
- McNamara RK, Able J, Liu Y, Jandacek R, Rider T, Tso P: Omega-3 fatty acid deficiency during perinatal development increases serotonin turnover in the prefrontal cortex and decreases midbrain tryptophan hydroxylase-2 expression in adult female rats: dissociation from estrogenic effects. J Psychiatr Res. 2009, 43: 656-663. 10.1016/j.jpsychires.2008.09.011.PubMed CentralView ArticlePubMedGoogle Scholar
- Simchon Y, Weizman A, Rehavi M: The effect of chronic methylphenidate administration on presynaptic dopaminergic parameters in a rat model for ADHD. Eur Neuropsychopharmacol. 2010, 20: 714-720. 10.1016/j.euroneuro.2010.04.007.View ArticlePubMedGoogle Scholar
- Oades RD, Lasky-Su J, Christiansen H, Faraone SV, Sonuga-Barke EJ, Banaschewski T: The influence of serotonin- and other genes on impulsive behavioral aggression and cognitive impulsivity in children with attention-deficit/hyperactivity disorder (ADHD): Findings from a family-based association test (FBAT) analysis. Behav Brain Funct. 2008, 4: 48-10.1186/1744-9081-4-48.PubMed CentralView ArticlePubMedGoogle Scholar
- Darstein M, Loschmann PA, Knorle R, Feuerstein TJ: Strychnine-sensitive glycine receptors inducing [3H]-acetylcholine release in rat caudatoputamen: a new site of action of ethanol?. Naunyn Schmiedebergs Arch Pharmacol. 1997, 356: 738-745. 10.1007/PL00005112.View ArticlePubMedGoogle Scholar
- Molander A, Soderpalm B: Glycine receptors regulate dopamine release in the rat nucleus accumbens. Alcohol Clin Exp Res. 2005, 29: 17-26. 10.1097/01.ALC.0000150006.17168.F7.View ArticlePubMedGoogle Scholar
- Sergeeva OA, Haas HL: Expression and function of glycine receptors in striatal cholinergic interneurons from rat and mouse. Neuroscience. 2001, 104: 1043-1055. 10.1016/S0306-4522(01)00130-0.View ArticlePubMedGoogle Scholar
- Hamill TG, Eng W, Jennings A, Lewis R, Thomas S, Wood S: The synthesis and preclinical evaluation in rhesus monkey of [(1)F]MK-6577 and [(1)(1)C]CMPyPB glycine transporter 1 positron emission tomography radiotracers. Synapse. 2011, 65: 261-270. 10.1002/syn.20842.View ArticlePubMedGoogle Scholar
- Nagy K, Marko B, Zsilla G, Matyus P, Pallagi K, Szabo G: Alterations in brain extracellular dopamine and glycine levels following combined administration of the glycine transporter type-1 inhibitor Org-24461 and risperidone. Neurochem Res. 2010, 35: 2096-2106. 10.1007/s11064-010-0241-0.View ArticlePubMedGoogle Scholar
- Perry KW, Falcone JF, Fell MJ, Ryder JW, Yu H, Love PL: Neurochemical and behavioral profiling of the selective GlyT1 inhibitors ALX5407 and LY2365109 indicate a preferential action in caudal vs. cortical brain areas. Neuropharmacology. 2008, 55: 743-754. 10.1016/j.neuropharm.2008.06.016.View ArticlePubMedGoogle Scholar
- Vengeliene V, Leonardi-Essmann F, Sommer WH, Marston HM, Spanagel R: Glycine transporter-1 blockade leads to persistently reduced relapse-like alcohol drinking in rats. Biol Psychiatry. 2010, 68: 704-711. 10.1016/j.biopsych.2010.05.029.View ArticlePubMedGoogle Scholar
- Kuriyama K, Ida S, Ohkuma S: Alteration of cerebral taurine biosynthesis in spontaneously hypertensive rats. J Neurochem. 1984, 42: 1600-1606. 10.1111/j.1471-4159.1984.tb12748.x.View ArticlePubMedGoogle Scholar
- Breitinger HG, Becker CM: The inhibitory glycine receptor-simple views of a complicated channel. ChemBioChem. 2002, 3: 1042-1052. 10.1002/1439-7633(20021104)3:11<1042::AID-CBIC1042>3.0.CO;2-7.View ArticlePubMedGoogle Scholar
- Haas HL, Hosli L: The depression of brain stem neurones by taurine and its interaction with strychnine and bicuculline. Brain Res. 1973, 52: 399-402.View ArticlePubMedGoogle Scholar
- Pan ZH, Slaughter MM: Comparison of the actions of glycine and related amino acids on isolated third order neurons from the tiger salamander retina. Neuroscience. 1995, 64: 153-164. 10.1016/0306-4522(94)00399-P.View ArticlePubMedGoogle Scholar
- Hussy N, Deleuze C, Pantaloni A, Desarmenien MG, Moos F: Agonist action of taurine on glycine receptors in rat supraoptic magnocellular neurones: possible role in osmoregulation. J Physiol. 1997, 502 (Pt 3): 609-621.PubMed CentralView ArticlePubMedGoogle Scholar
- Greengard P: The neurobiology of slow synaptic transmission. Science. 2001, 294: 1024-1030. 10.1126/science.294.5544.1024.View ArticlePubMedGoogle Scholar
- Andersen SL, Teicher MH: Sex differences in dopamine receptors and their relevance to ADHD. Neurosci Biobehav Rev. 2000, 24: 137-141. 10.1016/S0149-7634(99)00044-5.View ArticlePubMedGoogle Scholar
- Gogos JA, Morgan M, Luine V, Santha M, Ogawa S, Pfaff D: Catechol-O-methyltransferase-deficient mice exhibit sexually dimorphic changes in catecholamine levels and behavior. Proc Natl Acad Sci U S A. 1998, 95: 9991-9996. 10.1073/pnas.95.17.9991.PubMed CentralView ArticlePubMedGoogle Scholar
- Huotari M, Gogos JA, Karayiorgou M, Koponen O, Forsberg M, Raasmaja A: Brain catecholamine metabolism in catechol-O-methyltransferase (COMT)-deficient mice. Eur J Neurosci. 2002, 15: 246-256. 10.1046/j.0953-816x.2001.01856.x.View ArticlePubMedGoogle Scholar
- Davis JF, Tracy AL, Schurdak JD, Tschop MH, Lipton JW, Clegg DJ: Exposure to elevated levels of dietary fat attenuates psychostimulant reward and mesolimbic dopamine turnover in the rat. Behav Neurosci. 2008, 122: 1257-1263.PubMed CentralView ArticlePubMedGoogle Scholar
- Schultz W: Multiple dopamine functions at different time courses. Annu Rev Neurosci. 2007, 30: 259-288. 10.1146/annurev.neuro.28.061604.135722.View ArticlePubMedGoogle Scholar
This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.