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New measurement criteria for studying alcohol drinking and relapse in rodents.

Villarín Pildaín L, Vengeliene V, Matthäus F - In Silico Pharmacol (2013)

Bottom Line: This behaviour is called the alcohol deprivation effect (ADE).Separating animals by their behavior during relapse-like situation could be used as one of the criteria for identification of alcohol addicted and non-addicted rats.A classification into presenting ADE or not is also essential to test the effectiveness of newly developed therapeutic drugs.

View Article: PubMed Central - PubMed

Affiliation: Max Planck Institute for Molecular Genetics, Berlin, Germany.

ABSTRACT

Purpose: Relapse to alcohol use is considered as one of the central features distinguishing dependence from controlled alcohol consumption. Relapse-like drinking in rodents is a transient episode of heavy drinking that follows a period of abstinence. This behaviour is called the alcohol deprivation effect (ADE). Not all animals develop behavioural changes that resemble relapse-like drinking behaviour. The purpose of our study was to develop a generalized quantitative criterion by which animals could be separated into two groups depending on their behaviour during a relapse-like situation (ADE vs. no-ADE).

Methods: An automated drinkometer system was used for data collection. This system measures fluid consumption by means of high-precision sensors attached to the drinking bottles in the home cage of the rat. We used a four bottle free choice paradigm with water 5, 10, and 20% ethanol solutions. For data analysis we developed a new measure of alcohol intake that quantifies net alcohol intake in relation to net consumption of water. This new measure is called water-penalized net ethanol intake.

Results: The new measure is more robust than commonly used measurements, such as alcohol preference and intake. It allows the comparison of alcohol intake between different groups of animals and different setups using an arbitrary number of bottles. Based on this new measure we developed a method to automatically select the threshold for the presence of ADE in individual animals.

Conclusions: Separating animals by their behavior during relapse-like situation could be used as one of the criteria for identification of alcohol addicted and non-addicted rats. A classification into presenting ADE or not is also essential to test the effectiveness of newly developed therapeutic drugs.

No MeSH data available.


Related in: MedlinePlus

A grid of threshold values (θ) foris inspected (x-axis). Animals having  are classified as presenting ADE, the rest as no-ADE. ADE classified animals are then tested through the Kolmogorov-Smirnov-test for equality of distributions, with  the hypothesized continuous distribution. Obtained p-values (y-axis) depend on the threshold θ. The threshold yielding the maximal p-value is selected (in our case, θ = 0.025).
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Fig4: A grid of threshold values (θ) foris inspected (x-axis). Animals having are classified as presenting ADE, the rest as no-ADE. ADE classified animals are then tested through the Kolmogorov-Smirnov-test for equality of distributions, with the hypothesized continuous distribution. Obtained p-values (y-axis) depend on the threshold θ. The threshold yielding the maximal p-value is selected (in our case, θ = 0.025).

Mentions: The threshold was then selected to maximize the corresponding p-value. For our data set we obtained θ = 0.025. Figure 4 shows the p-value of the Kolmogorov-Smirnov-test as a function of the threshold θ.Figure 4


New measurement criteria for studying alcohol drinking and relapse in rodents.

Villarín Pildaín L, Vengeliene V, Matthäus F - In Silico Pharmacol (2013)

A grid of threshold values (θ) foris inspected (x-axis). Animals having  are classified as presenting ADE, the rest as no-ADE. ADE classified animals are then tested through the Kolmogorov-Smirnov-test for equality of distributions, with  the hypothesized continuous distribution. Obtained p-values (y-axis) depend on the threshold θ. The threshold yielding the maximal p-value is selected (in our case, θ = 0.025).
© Copyright Policy - open-access
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4230819&req=5

Fig4: A grid of threshold values (θ) foris inspected (x-axis). Animals having are classified as presenting ADE, the rest as no-ADE. ADE classified animals are then tested through the Kolmogorov-Smirnov-test for equality of distributions, with the hypothesized continuous distribution. Obtained p-values (y-axis) depend on the threshold θ. The threshold yielding the maximal p-value is selected (in our case, θ = 0.025).
Mentions: The threshold was then selected to maximize the corresponding p-value. For our data set we obtained θ = 0.025. Figure 4 shows the p-value of the Kolmogorov-Smirnov-test as a function of the threshold θ.Figure 4

Bottom Line: This behaviour is called the alcohol deprivation effect (ADE).Separating animals by their behavior during relapse-like situation could be used as one of the criteria for identification of alcohol addicted and non-addicted rats.A classification into presenting ADE or not is also essential to test the effectiveness of newly developed therapeutic drugs.

View Article: PubMed Central - PubMed

Affiliation: Max Planck Institute for Molecular Genetics, Berlin, Germany.

ABSTRACT

Purpose: Relapse to alcohol use is considered as one of the central features distinguishing dependence from controlled alcohol consumption. Relapse-like drinking in rodents is a transient episode of heavy drinking that follows a period of abstinence. This behaviour is called the alcohol deprivation effect (ADE). Not all animals develop behavioural changes that resemble relapse-like drinking behaviour. The purpose of our study was to develop a generalized quantitative criterion by which animals could be separated into two groups depending on their behaviour during a relapse-like situation (ADE vs. no-ADE).

Methods: An automated drinkometer system was used for data collection. This system measures fluid consumption by means of high-precision sensors attached to the drinking bottles in the home cage of the rat. We used a four bottle free choice paradigm with water 5, 10, and 20% ethanol solutions. For data analysis we developed a new measure of alcohol intake that quantifies net alcohol intake in relation to net consumption of water. This new measure is called water-penalized net ethanol intake.

Results: The new measure is more robust than commonly used measurements, such as alcohol preference and intake. It allows the comparison of alcohol intake between different groups of animals and different setups using an arbitrary number of bottles. Based on this new measure we developed a method to automatically select the threshold for the presence of ADE in individual animals.

Conclusions: Separating animals by their behavior during relapse-like situation could be used as one of the criteria for identification of alcohol addicted and non-addicted rats. A classification into presenting ADE or not is also essential to test the effectiveness of newly developed therapeutic drugs.

No MeSH data available.


Related in: MedlinePlus