Dataset Information

A heuristic model of alcohol dependence.

ABSTRACT:

Background

Substance dependence poses a critical health problem. Sadly, its neurobiological mechanisms are still unclear, and this lack of real understanding is reflected in insufficient treatment options. It has been hypothesized that alcohol effects are due to an imbalance between neuroexcitatory and neuroinhibitory amino acids. However, glutamate and GABA interact with other neurotransmitters, which form a complicated network whose functioning evades intuition and should be investigated systemically with methods of biomedical systems analysis.

Methods and results

We present a heuristic model of neurotransmitters that combines a neurochemical interaction matrix at the biochemical level with a mobile describing the balances between pairs of neurotransmitters at the physiological and behavioral level. We investigate the effects of alcohol on the integrated neurotransmitter systems at both levels. The model simulation results are consistent with clinical and experimental observations. The model demonstrates that the drug diazepam for symptoms of alcohol withdrawal effectively reduces the imbalances between neurotransmitters. Moreover, the acetylcholine signal is suggested as a novel target for treatment of symptoms associated with alcohol withdrawal.

Conclusions

Efficient means of integrating clinical symptoms across multiple levels are still scarce and difficult to establish. We present a heuristic model of systemic neurotransmitter functionality that permits the assessment of genetic, biochemical, and pharmacological perturbations. The model can serve as a tool to represent clinical and biological observations and explore various scenarios associated with alcohol dependence and its treatments. It also is very well suited for educational purposes.

SUBMITTER: Qi Z

PROVIDER: S-EPMC3962390 | biostudies-literature | 2014

REPOSITORIES: biostudies-literature

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Publications

A heuristic model of alcohol dependence.

Qi Zhen Z Tretter Felix F Voit Eberhard O EO

PloS one 20140321 3

<h4>Background</h4>Substance dependence poses a critical health problem. Sadly, its neurobiological mechanisms are still unclear, and this lack of real understanding is reflected in insufficient treatment options. It has been hypothesized that alcohol effects are due to an imbalance between neuroexcitatory and neuroinhibitory amino acids. However, glutamate and GABA interact with other neurotransmitters, which form a complicated network whose functioning evades intuition and should be investigat ...[more]

PMID: 24658530

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Project description:BackgroundThe tradition of consuming alcohol has long been a part of Italian culture and is responsible for a large health burden. This burden may be reduced with effective interventions, one of the more important of which is treatment for Alcohol Dependence (AD). The aim of this article is to estimate the burden of disease in Italy attributable to alcohol consumption, heavy alcohol consumption, and AD. An additional aim of this paper is to examine the effects of increasing the coverage of treatment for AD on the alcohol-attributable burden of disease.MethodsAlcohol-attributable deaths and the effects of treatments for AD were estimated using alcohol-attributable fractions and simulations. Deaths, potential years of life lost, years lived with disability, and disability adjusted life years lost were obtained for 2004 for Italy and for the European Union from the Global Burden of Disease study. Alcohol consumption data were obtained from the Global Information System on Alcohol and Health. The prevalences of current drinkers, former drinkers, and lifetime abstainers were obtained from the GENder Alcohol and Culture International Study. The prevalence of AD was obtained from the World Mental Health Survey. Alcohol relative risks were obtained from various meta-analyses.Results5,320 deaths (1,530 female deaths; 3,790 male deaths) or 5.9% of all deaths (4.9% of all female deaths; 6.3% of all male deaths) of people 15 to 64 years of age were estimated to be alcohol-attributable. Of these deaths, 74.5% (61.3% for females; 79.8% for males) were attributable to heavy drinking, and 26.9% (25.6% for females; 27.5% for males) were attributable to AD. Increasing pharmacological AD treatment coverage to 40% would result in an estimated reduction of 3.3% (50 deaths/year) of all female and 7.6% (287 deaths/year) of all male alcohol-attributable deaths.ConclusionsAlcohol was responsible for a large proportion of the burden of disease in Italy in 2004. Increasing treatment coverage for AD in Italy could reduce that country's alcohol-attributable burden of disease.

Dataset Information

A heuristic model of alcohol dependence.

Background

Methods and results

Conclusions

Publications

A heuristic model of alcohol dependence.

Similar Datasets

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