196 resultados para Detoxified Alcoholics
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"November 1, 1979."
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"1/10."--Colophon.
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"February 1968."
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Alcoholism results in changes in the human brain that reinforce the cycle of craving and dependency, and these changes are manifest in the pattern of expression of proteins in key cells and brain areas. Described here is a proteomics-based approach aimed at determining the identity of proteins in the superior frontal cortex (SFC) of the human brain that show different levels of expression in autopsy samples taken from healthy and long-term alcohol abuse subjects. Soluble protein fractions constituting pooled samples combined from SFC biopsies of four well-characterized chronic alcoholics (mean consumption > 80 g ethanol/day throughout adulthood) and four matched controls (< 20 g/day) were generated. Two-dimensional electrophoresis was performed in triplicate on alcoholic and control samples and the resultant protein profiles analyzed for differential expression. Overall, 182 proteins differed by the criterion of twofold or more between case and control samples. Of these, 139 showed significantly lower expression in alcoholics, 35 showed significantly higher expression, and 8 were new or had disappeared. To date, 63 proteins have been identified using MALDI-MS and MS-MS. The finding that the expression level of differentially expressed proteins is preponderantly lower in the alcoholic brain is supported by recent results from parallel studies using microarray mRNA transcript.
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Chronic alcoholism leads to localized brain damage, which is prominent in superior frontal cortex but mild in motor cortex. The likelihood of developing alcohol dependence is associated with genetic markers. GABA(A) receptor expression differs between alcoholics and controls, whereas glutamate receptor differences are muted. We determined whether genotype differentiated the localized expression of glutamate and gamma-aminobutyric acid (GABA) receptors to influence the severity of alcohol-induced brain damage. Cerebrocortical tissue was obtained at autopsy from alcoholics without alcohol-related disease, alcoholics with cirrhosis, and matched controls. DRD2A, DRD2B, GABB2, EAAT2, and 5HTT genotypes did not divide alcoholic cases and controls on N-methyl-D-aspartate (NMDA) receptor parameters. In contrast, alcohol dehydrogenase (ADH)3 genotype interacted significantly with NMDA receptor efficacy and affinity in a region-specific manner. EAAT2 genotype interacted significantly with local GABAA receptor subunit mRNA expression, and GABB2 and DRD2B genotypes with p subunit isoform protein expression. Genotype may modulate amino acid transmission locally so as to mediate neuronal vulnerability. This has implications for the effectiveness of pharmacological interventions aimed at ameliorating brain damage and, possibly, dependence. (C) 2004 Elsevier Ltd. All rights reserved
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Cognitive modelling of phenomena in clinical practice allows the operationalisation of otherwise diffuse descriptive terms such as craving or flashbacks. This supports the empirical investigation of the clinical phenomena and the development of targeted treatment interventions. This paper focuses on the cognitive processes underpinning craving, which is recognised as a motivating experience in substance dependence. We use a high-level cognitive architecture, Interacting Cognitive Subsystems (ICS), to compare two theories of craving: Tiffany's theory, centred on the control of automated action schemata, and our own Elaborated Intrusion theory of craving. Data from a questionnaire study of the subjective aspects of everyday desires experienced by a large non-clinical population are presented. Both the data and the high-level modelling support the central claim of the Elaborated Intrusion theory that imagery is a key element of craving, providing the subjective experience and mediating much of the associated disruption of concurrent cognition.
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While binge drinking-episodic or irregular consumption of excessive amounts of alcohol-is recognised as a serious problem affecting our youth, to date there has been a lack of psychological theory and thus theoretically driven research into this problem. The current paper develops a cognitive model using the key constructs of alcohol expectancies (AEs) and drinking refusal self-efficacy (DRSE) to explain the acquisition and maintenance of binge drinking. It is suggested that the four combinations of the AE and DRSE can explain the four drinking styles. These are normal/social drinkers, binge drinkers, regular heavy drinkers, and problem drinkers or alcoholics. Since AE and DRSE are cognitive constructs and therefore modifiable, the cognitive model can thus facilitate the design of intervention and-prevention strategies for binge drinking. (C) 2003 Elsevier Ltd. All rights reserved.
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Alcohol dependence is characterized by tolerance, physical dependence, and craving. The neuroadaptations underlying these effects of chronic alcohol abuse are likely due to altered gene expression. Previous gene expression studies using human post-mortem brain demonstrated that several gene families were altered by alcohol abuse. However, most of these changes in gene expression were small. It is not clear if gene expression profiles have sufficient power to discriminate control from alcoholic individuals and how consistent gene expression changes are when a relatively large sample size is examined. In the present study, microarray analysis (similar to 47 000 elements) was performed on the superior frontal cortex of 27 individual human cases ( 14 well characterized alcoholics and 13 matched controls). A partial least squares statistical procedure was applied to identify genes with altered expression levels in alcoholics. We found that genes involved in myelination, ubiquitination, apoptosis, cell adhesion, neurogenesis, and neural disease showed altered expression levels. Importantly, genes involved in neurodegenerative diseases such as Alzheimer's disease were significantly altered suggesting a link between alcoholism and other neurodegenerative conditions. A total of 27 genes identified in this study were previously shown to be changed by alcohol abuse in previous studies of human post-mortem brain. These results revealed a consistent re-programming of gene expression in alcohol abusers that reliably discriminates alcoholic from non-alcoholic individuals.
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Background. Children of alcoholics are significantly more likely to experience high-risk environmental exposures, including prenatal substance exposure, and are more likely to exhibit externalizing problems [e.g. attention deficit hyperactivity disorder (ADHD)]. While there is evidence that genetic influences and prenatal nicotine and/or alcohol exposure play separate roles in determining risk of ADHD, little has been done on determining the joint roles that genetic risk associated with maternal alcohol use disorder (AUD) and prenatal risk factors play in determining risk of ADHD. Method. Using a children-of-twins design, diagnostic telephone interview data from high-risk families (female monozygotic and dizygotic twins concordant or discordant for AUD as parents) and control families targeted from a large Australian twin cohort were analyzed using logistic regression models. Results. Offspring of twins with a history of AUD, as well as offspring of non-AUD monozygotic twins whose co-twin had AUD, were significantly more likely to exhibit ADHD than offspring of controls. This pattern is consistent with a genetic explanation for the association between maternal AUD and increased offspring risk of ADHD. Adjustment for prenatal smoking, which remained significantly predictive, did not remove the significant genetic association between maternal AUD and offspring ADHD. Conclusions. While maternal smoking during pregnancy probably contributes to the association between maternal AUD and offspring ADHD risk, the evidence for a significant genetic correlation suggests: (i) pleiotropic genetic effects, with some genes that influence risk of AUD also influencing vulnerability to ADHD; or (ii) ADHD is a direct risk-factor for AUD.
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Background: Changes in brain gene expression are thought to be responsible for the tolerance, dependence, and neurotoxicity produced by chronic alcohol abuse, but there has been no large scale study of gene expression in human alcoholism. Methods: RNA was extracted from postmortem samples of superior frontal cortex of alcoholics and nonalcoholics. Relative levels of RNA were determined by array techniques. We used both cDNA and oligonucleotide microarrays to provide coverage of a large number of genes and to allow cross-validation for those genes represented on both types of arrays. Results: Expression levels were determined for over 4000 genes and 163 of these were found to differ by 40% or more between alcoholics and nonalcoholics. Analysis of these changes revealed a selective reprogramming of gene expression in this brain region, particularly for myelin-related genes which were downregulated in the alcoholic samples. In addition, cell cycle genes and several neuronal genes were changed in expression. Conclusions: These gene expression changes suggest a mechanism for the loss of cerebral white matter in alcoholics as well as alterations that may lead to the neurotoxic actions of ethanol.
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Long-term alcohol abuse by human subjects leads to selective brain damage that is restricted in extent and variable in severity. Within the cerebral cortex, neuronal loss is most marked in the superior frontal cortex and relatively mild in motor cortex. Cirrhotic alcoholics and subjects with alcohol-related Wernicke-Korsakoff syndrome show more severe and more extensive damage than do uncomplicated cases. Accumulating evidence suggests that the likelihood of developing alcohol dependency is associated with one or more genetic markers. In previous work we showed that GABAA receptor functionality, and the subunit isoform expression that underlies this, differed in region- and disease-specific ways between alcoholics and controls. By contrast, glutamate receptor (NMDA, KA, AMPA) differences were muted or absent. Here we asked if genotype differentiated the form, pharmacology, or expression of glutamate and GABA receptors in pathologically vulnerable and spared cortical regions, with a view to determining whether such subject factors might influence the severity of alcohol-induced brain damage. Cerebrocortical tissue was obtained at autopsy under informed, written consent from uncomplicated and alcoholic-cirrhotic Caucasian (predominantly Anglo-Celtic) cases, together with matched controls and cases with cirrhosis of non-alcoholic origin. All subjects had pathological confirmation of liver and brain diagnosis; none had been polydrug abusers. Samples were processed for synaptic membrane receptor binding, mRNA analysis by quantitative RT-PCR, and protein analysis by Western blot. Genotyping was performed by PCR methods, in the main using published primers. Several genetic markers differentiated between our alcoholic and control subjects, including the GABAA receptor 2 subunit (GABB2) gene ( 2 (3) 10.329, P 0.01), the dopamine D2 receptor B1 (DRD2B) allele ( 2 (3) 10.109, P 0.01) and a subset of the alcohol dehydrogenase-3 (ADH3) alleles ( 2 (2) 4.730, P 0.05). Although neither the type-2 glutamate transporter (EAAT2) nor the serotonin transporter (5HTT) genes were significantly associated with alcoholism, only EAAT2 heterozygotes showed a significant association between ADH3 genotype and alcoholism ( 2 (3) 7.475, P 0.05). Other interactions between genotypes were also observed. DRD2A, DRD2B, GABB2, EAAT2 and 5HTT genotypes did not divide alcoholic cases and controls on NMDA receptor parameters, although in combined subjects there was a significant DRD2B X Area Interaction with glutamateNMDA receptor efficacy (F(1,57) 4.67; P 0.05), measured as the extent of glutamate-enhanced MK801 binding. In contrast, there was a significant Case-group X ADH3 X Area Interaction with glutamateNMDA receptor efficacy (F(3,57) 2.97; P 0.05). When GABAA receptor subunit isoform expression was examined, significant Case-group X Genotype X Area X Isoform interactions were found for EAAT2 with subunit mRNA (F(1,37) 4.22; P0.05), for GABB2 with isoform protein (F(1,37) 5.69; P 0.05), and for DRD2B with isoform protein (F(2,34)5.69; P0.05). The results suggest that subjects’ genetic makeup may modulate the effectiveness of amino acid-mediated transmission in different cortical regions, and thereby influence neuronal vulnerability to excitotoxicity.