Researchers ID changes that may occur in neural circuits due to cocaine addiction

Findings may offer unique pathway for targeting new therapeutics for addiction treatment

2014-05-14

(Press-News.org) (NEW YORK – May 14) –– A research team from the Friedman Brain Institute of the Icahn School of Medicine at Mount Sinai published evidence showing that subtle changes of inhibitory signaling in the reward pathway can change how animals respond to drugs such as cocaine. This is the first study to demonstrate the critical links between the levels of the trafficking protein, the potassium channels' effect on neuronal activity and a mouse's response to cocaine. Results from the study are published in the peer-reviewed journal Neuron earlier this month.

The authors investigated the role of sorting nexin 27 (SNX27), a PDZ-containing protein known to bind GIRK2c/GIRK3 channels, in regulating GIRK currents in dopamine (DA) neurons on the ventral tegmental area (VTA) in mice.

"Our results identified a pathway for regulating the excitability of the VTA DA neurons, highlighting SNX27 as a promising target for treating addiction," said Paul A. Slesinger, PhD, Professor, Department of Neuroscience, Friedman Brain Institute, Icahn School of Medicine at Mount Sinai. "Future research will focus on the role that potassium channels and trafficking proteins have in models of addiction."

INFORMATION: Dr. Slesinger was the lead author of the study and was joined by Michaelanne B. Munoz from the Graduate Program in Biology, University of California, San Diego and the Peptide Biology Laboratories, The Salk Institute for Biological Studies, La Jolla, California.

The research was supported by grants from the National Institute on Drug Abuse, the Salk Institute Chapman Foundation, the National Institute on Alcohol Abuse and Alcoholism, and the National Institute on Drug Abuse.

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[Press-News.org] Researchers ID changes that may occur in neural circuits due to cocaine addiction
Findings may offer unique pathway for targeting new therapeutics for addiction treatment