Aims

To support the free and open dissemination of research findings and information on alcoholism and alcohol-related problems. To encourage open access to peer-reviewed articles free for all to view.

For full versions of posted research articles readers are encouraged to email requests for "electronic reprints" (text file, PDF files, FAX copies) to the corresponding or lead author, who is highlighted in the posting.

___________________________________________

Sunday, November 7, 2010

Preference for ethanol in zebrafish following a single exposure



Ethanol is one of the most widely abused drugs in the world. Its addictive property is believed to primarily stem from its ability to influence the brain reinforcement pathway evolved for mediating natural rewards. Although dopamine is a known component of the reinforcement pathway, clear molecular and cellular compositions of this pathway and its sensitivity to ethanol remain not well understood. 

Zebrafish has been increasingly used to model and understand human disease states, due to its genetic tractability and ease of maintenance.

In this study, we determine whether adult zebrafish develop ethanol preference after a single exposure using a conditioned place preference (CPP) paradigm. Moreover, we establish a procedure that can be carried out in an automated and relatively high-throughput fashion. 

We find that zebrafish of the AB strain display significantly increased preference for the compartment where they received ethanol during a single 20-min exposure.

The largest increase in preference is in response to a 1.5% ethanol administered in the tank water. 

The results demonstrate robust ethanol preference in zebrafish. Such a relatively high-throughput assay with automated tracking and response to a single ethanol exposure provides a potential means for a large-scale screening aimed at understanding the brain reinforcement pathway and its sensitivity to ethanol in this genetically tractable vertebrate.


Read Full Abstract 

Request Reprint E-Mail:  su.guo@ucsf.edu