Faculty Bibliography

The present study examined the effect of repeated nicotine and cocaine administration on the expression of neurofilament proteins (NF-L, -M, and -H), actin, and on alpha-7 nicotinic, dopamine D1 and NMDA NR1 receptors in brain. Whole tissue homogenate and synaptoneurosomal preparations from hippocampus, striatum and cortex were assayed. C57BL/6By mice were treated for 2 weeks with a daily injection of nicotine (0.4 mg/kg) or cocaine (25mg/kg). The mice were killed 60 min after the last injection and tissue prepared for Western blot analysis of expression of NFs and receptor expression. Actin protein was affected by cocaine and nicotine treatment, decreasing in homogenate fraction (striatum and cortex) and showing an increase in the synaptoneurosome preparation (hippocampus and cortex). NF expression was affected; with regional and response differences dependent on tissue preparation. NF-M increased in all three brain regions; NF-L increased in the cortex and NF-H increased in the striatum in the synaptoneurosomal preparations. Change in nicotinic and dopamine receptor expression was dependent on region and tissue preparation. NMDA NR1 expression increased in the three brain regions in the synaptoneurosomal preparation. The results suggest that specific brain protein levels are affected by repeated drug administration. Drug effects on cytoskeletal elements are selective, regionally heterogeneous, and change with time after drug administration. Changes in cytoskeletal proteins maybe part of the mechanism in drug-induced neurotransmitter changes. We have found previously that drug-induced changes in neurotransmitters are regionally heterogeneous and are drug specific. We now found similar regional heterogeneity and drug specificity in drug-induced changes in cytoskeletal and receptor proteins

It is well established that the continued intake of drugs of abuse is reinforcing-that is repeated consumption increases preference. This has been shown in some studies to extend to other drugs of abuse; use of one increases preference for another. In particular, the present review deals with the interaction of nicotine and alcohol as it has been shown that smoking is a risk factor for alcoholism and alcohol use is a risk factor to become a smoker. The review discusses changes in the brain caused by chronic nicotine and chronic alcohol intake to approach the possible mechanisms by which one drug increases the preference for another. Chronic nicotine administration was shown to affect nicotine receptors in the brain, affecting not only receptor levels and distribution, but also receptor subunit composition, thus affecting affinity to nicotine. Other receptor systems are also affected among others catecholamine, glutamate, GABA levels and opiate and cannabinoid receptors. In addition to receptor systems and transmitters, there are endocrine, metabolic and neuropeptide changes as well induced by nicotine. Similarly chronic alcohol intake results in changes in the brain, in multiple receptors, transmitters and peptides as discussed in this overview and also illustrated in the tables. The changes are sex and age-dependent-some changes in males are different from those in females and in general adolescents are more sensitive to drug effects than adults. Although nicotine and alcohol interact-not all the changes induced by the combined intake of both are additive-some are opposing. These opposing effects include those on locomotion, acetylcholine metabolism, nicotine binding, opiate peptides, glutamate transporters and endocannabinoid content among others. The two compounds lower the negative withdrawal symptoms of each other which may contribute to the increase in preference, but the mechanism by which preference increases-most likely consists of multiple components that are not clear at the present time. As the details of induced changes of nicotine and alcohol differ, it is likely that the mechanisms of increasing nicotine preference may not be identical to that of increasing alcohol preference. Stimulation of preference of yet other drugs may again be different -representing one aspect of drug specificity of reward mechanisms

Deficits in N-methyl-D-aspartate receptor (NMDAR)-mediated neurotransmission may underlie dopaminergic hyperactivity in schizophrenia. Dysregulation of the GABAergic system has also been implicated. In this study we investigated a role for GABA(B) receptors as an intermediate step in the pathway leading from NMDAR stimulation to DA regulation. Since glycine (GLY) has been found to ameliorate treatment resistant negative symptoms in schizophrenia, we treated a group of rats with 16% GLY food for 2 weeks. DA levels in prefrontal cortex (PFC) and striatum (STR) were assessed by dual-probe microdialysis and HPLC-EC in freely moving rats. Infusion of the GABA(B) receptor agonists SKF97541 and baclofen into PFC and STR significantly reduced basal DA, an effect that was reversed by the antagonist, CGP52432. In PFC, GABA(B) agonists also reduced AMPH-induced DA release following treatment with either 1 or 5 mg/kg AMPH. Similar effects were seen following subchronic glycine treatment in the absence, but not presence of CGP52432 during 5 mg/kg AMPH treatment. In STR SKF97541 decreased only the 1 mg/kg AMPH-induced DA release. Subchronic GLY treatment in STR leads to a significant reduction in basal DA levels, but did not affect AMPH (5 mg/kg)-induced release. Our findings support a model in which NMDA/glycine-site agonists modulate DA release in part through presynaptic GABA(B) receptors on DA terminals, with both GABA(B) ligands and GLY significantly modulating AMPH-induced DA release. Both sites, therefore, may represent appropriate targets for drug development in schizophrenia and substance abuse disorders

Several lines of schizophrenia (SZ) research suggest that a functional downregulation of the prefrontal cortex GABAergic neuronal system is mediated by a promoter hypermethylation, presumably catalyzed by an increase in DNA-methyltransferase-1 (DNMT-1) expression. This promoter hypermethylation may be mediated not only by DNMT-1 but also by an entire family of de novo DNA-methyltransferases, such as DNA-methyltransferase-3a (DNMT-3a) and -3b (DNMT-3b). To verify the existence of an overexpression of DNMT-3a and DNMT-3b in the brain of schizophrenia patients (SZP), we compared their mRNA expression in Brodmann's area 10 (BA10) and in the caudate nucleus and putamen obtained from the Harvard Brain Tissue Resource Center (Belmont, MA) from both nonpsychiatric subjects (NPS) and SZP. Our results demonstrate that DNMT-3a and DNMT-1 are expressed and co-localize in distinct GABAergic neuron populations whereas DNMT-3b mRNA is virtually undetectable. We also found that unlike DNMT-1, which is frequently overexpressed in telencephalic GABAergic neurons of SZP, DNMT-3a mRNA is overexpressed only in layer I and II GABAergic interneurons of BA10. To ascertain whether these DNMT expression differences observed in brain tissue could also be detected in peripheral tissues, we studied whether DNMT-1 and DNMT-3a mRNAs were overexpressed in peripheral blood lymphocytes (PBL) of SZP. Both DNMT-1 and DNMT-3a mRNAs are expressed in the PBL and although DNMT-3a mRNA levels in the PBL are approximately 1/10 of those of DNMT-1, the comparison of the PBL content in NPS and SZP showed a highly significant 2-fold increase of both DNMT-1 and DNMT-3a mRNA in SZP. These changes were unaffected by the dose, the duration, or the type of antipsychotic treatment. The upregulation of DNMT-1 and to a lesser extent that of DNMT-3a mRNA in PBL of SZP supports the concept that this readily available peripheral cell type can express an epigenetic variation of specific biomarkers relevant to SZ morbidity. Hence, PBL studies may become useful to investigate a diagnostic epigenetic marker of SZ morbidity

The aim of the present study was to examine the effect of acetaldehyde administration on neurotransmitters in the presence of nicotine in brain areas associated with cognition and reward. We assayed these effects via microdialysis in conscious freely moving male Sprague-Dawley rats. It was reported that low doses of acetaldehyde enhance nicotine self-administration in young, but not in adult rats. Since nicotine enhances reward and learning, while acetaldehyde is reported to enhance reward but inhibit learning, acetaldehyde thus would be likely to stimulate reward without stimulating learning. We hoped that examining the effects of acetaldehyde (on nicotine-mediated neurotransmitter changes) would help to distinguish reward mechanisms less influenced by learning mechanisms. To avoid the aversive effect of acetaldehyde, we used a low dose of acetaldehyde (0.16 mg/kg) administered after nicotine (0.3mg/kg). We analyzed six brain regions: nucleus accumbens shell (NAccS), ventral tegmental area (VTA), ventral and dorsal hippocampus (VH and DH), and prefrontal and medial temporal cortex (PFC, MTC), assaying dopamine (DA), norepinephrine (NE) and serotonin (5-HT) and their metabolites in young and adult rats. The effect of acetaldehyde on nicotine-induced transmitter changes was different in young as compared to adult rat brain regions. In the NAccS of the young, DA was not affected while NE and 5-HT were increased. In the adult in this area DA and NE were decreased, while 5-HT was not altered. In other areas also in many cases, the effect of acetaldehyde in the young and in the adult was different. As an example, acetaldehyde administration increased NE in young and decreased NE in adult DH. We found stimulation of nicotine-induced changes by acetaldehyde in seven instances - six of these were observed in areas in young brain, NE in four areas (NAccS, DH, VH, and PFC), and 5-HT in two (NAccS and DH). Only one increase was noted in adult brain (DA in VTA). Inhibition of nicotine-induced changes by acetaldehyde was noticed in four young brain areas (DA in PFC and MTC, 5-HT in VTA, and VH) and in 13 adult brain areas (DA in NAccS, DH, VH, PFC, MTC, NE in NAccS, DH, PFC, MTC, and 5-HT in DH, VH, MTC, and PFC). Thus acetaldehyde was more stimulatory in young and more inhibitory in the adult brain areas tested, which could explain its stimulating nicotine reward only in young animals. That increases in NE were noted only in young, decreases in NE only in adult brain areas further suggest the role of NE in the age-dependent response. In general, six areas showed some increase and four showed decrease in the young versus one showing increase and thirteen showing decrease in the adult. Clearly the effects of acetaldehyde in young animals are different from those in adult animals. Because acetaldehyde did not induce elevated DA levels in the NAccS of the young, we believe that the higher reward in the young caused by acetaldehyde is not likely due to DA changes in the accumbens. The increase of NE and 5-HT in the brain areas of the young only raises the possibility that they may play an important role in reward in some cases when DA in the accumbens does not. Areas involved in cognitive mechanisms and a number of transmitters seem to play a role in reward stimulation

OBJECTIVE: Varenicline has been shown to be an effective anti-smoking treatment in smokers without identified psychiatric illness, and the drug's pharmacology suggests possibilities of pro-cognitive effects. However, recent reports suggest varenicline may have the potential for important psychiatric side-effects in some people. We present the first prospective quantitative data on the effects of varenicline on cognitive function, cigarette smoking, and psychopathology in a small sample of schizophrenic patients. METHOD: Fourteen schizophrenic smokers were enrolled in an open-label study of varenicline with a pre-post design. Measures of cognitive function (RBANS, Virtual Water-Maze Task), cigarette smoking (cotinine levels, CO levels, self-reported smoking and smoking urges), and psychopathology (PANSS) were evaluated prior to and during treatment with varenicline. Data on psychopathology changes among schizophrenic smokers in another drug study, in which patients were not receiving varenicline, were used for comparison. RESULTS: 12 patients completed the study, and 2 patients terminated in the first two weeks of active varenicline because of complaints of nausea or shaking. Varenicline produced significant improvements in some cognitive test scores, primarily associated with verbal learning and memory, but not in scores on visual-spatial learning or memory, or attention. Varenicline significantly decreased all indices of smoking, but did not produce complete smoking abstinence in most patients. During treatment with varenicline there were no significant increases in psychopathology scores and no patient developed signs of clinical depression or suicidal ideation. CONCLUSIONS: Our small prospective study suggests that treatment with varenicline appears to have some beneficial cognitive effects which need to be confirmed in larger studies with additional neuropsychological tests. Varenicline appears to have some anti-smoking efficacy in schizophrenia but longer studies are needed to determine whether it will produce rates of smoking abstinence similar to those found in control smokers. Treatment with varenicline may not increase psychopathology or depression in most patients with schizophrenia, but we cannot accurately estimate the absolute risk of a potentially rare side-effect from this small sample

This brief review is focused on recent work in our laboratory, in which we assayed nicotine-induced neurotransmitter changes, comparing it to changes induced by other compounds and examined the receptor systems and their interactions that mediate the changes. The primary aim of our studies is to examine the role of neurotransmitter changes in reward and learning processes. We find that these processes are interlinked and interact in that reward-addiction mechanisms include processes of learning and learning-memory mechanisms include processes of reward. In spite being interlinked, the two processes have different functions and distinct properties and our long-term aim is to identify factors that control these processes and the differences among the processes. Here, we discuss reward processes, which we define as changes examined after administration of nicotine, cocaine or food, each of which induces changes in neurotransmitter levels and functions in cognitive areas as well as in reward areas. The changes are regionally heterogeneous and are drug or stimulus specific. They include changes in the transmitters assayed (catecholamines, amino acids, and acetylcholine) and also in their metabolites, hence, in addition to release, uptake and metabolism are involved. Many receptors modulate the response with direct and indirect effects. The involvement of many transmitters, receptors and their interactions and the stimulus specificity of the response indicated that each function, reward and learning represents the involvement of different pattern of changes with a different stimulus, therefore, many different learning and many different reward processes are active, which allow stimulus specific responses. The complex pattern of reward-induced changes in neurotransmitters is only a part of the multiple changes observed, but one which has a crucial and controlling function