[ Back to EurekAlert! ] Public release date: 31-May-2010
[ | E-mail Share Share ]

Contact: Shantell M. Kirkendoll
smkirk@umich.edu
734-764-2220
University of Michigan Health System

Animal study reveals new target for antidepressants

Ann Arbor, Mich. University of Michigan scientists have provided the most detailed picture yet of a key receptor in the brain that influences the effectiveness of serotonin-related antidepressants, such as Prozac.

The findings, which appear online Monday ahead of print in the journal Proceedings of the National Academy of Sciences, open the door to providing a more targeted treatment of depression and anxiety with fewer side effects.

Depressive disorders change a person's mood, emotions and physical well-being and can co-occur with anxiety disorders and substance abuse.

"There are big drawbacks in the current therapies for depression," says senior author John Traynor, Ph.D., professor of pharmacology at the U-M Medical School and director of the U-M Substance Abuse Research Center. "Therapeutic benefits are delayed, there are unwanted side effects, and it's not unusual for depressive symptoms to return."

Authors say the high relapse rate indicates a need for additional treatment options for the estimated 20.9 million Americans with depression.

The best current treatments for depression are selective serotonin reuptake inhibitors, or SSRIs. These drugs work by flooding the brain's synapses with serotonin, a neurotransmitter linked with mood, and increasing signaling through the more than 20 serotonin receptors in the brain.

However the team of researchers showed that one particular pathway, the serotonin 5HT1a receptor is linked with antidepressive and antianxiety behavior in mice.

"Rather than activating all serotonin receptors as SSRIs do, one could increase signaling through the one critical serotonin receptor that our research shows is important for anti-depressant behavior," says co-author Richard R. Neubig, M.D., Ph.D., co-director of the U-M Center for Chemical Genomics and professor of pharmacology at the U-M Medical School.

The new research details the complex actions of a family of proteins, known as RGS proteins, that act as brakes on neurotransmitter signaling.

Researchers created a mutant mouse to boost serotonin signaling at the 5HT1a receptor. This was done by genetically inhibiting the activity of braking proteins. Without the normal brake on serotonin signaling, these mutant mice showed antidepressive behavior even without being given antidepressant drugs. The mice were also more responsive to SSRIs.

Authors say that further research could lead to drugs capable of inhibiting the RGS proteins and which would target the antidepressant signal where it is required on critical 5HT1a receptors.

###

Additional authors in the study are: Jeffrey Talbot, Ph.D., Ohio Northern University, formerly of U-M who continued parts of this work with Crystal Clemans and Melanie Nicol, Pharm. D. Other U-M authors are Emily Jutkiewicz, Ph.D., Steven Graves, B.S., and Xinyan Huang, Ph.D., from the Department of Pharmacology and Richard Mortensen, M.D., Ph.D., from the Department of Molecular and Integrative Physiology.

Funding: National Institute of General Medical Sciences; National Institute on Drug Abuse.

Reference: Proceedings of the National Academy of Sciences, "RGS inhibition at Gai2 selectively potentiates 5-HT1A-mediated antidepressant effects," doi 10.1073/pnas.1000003107

Resources
University of Michigan Health System
http://www.med.umich.edu/

Substance Abuse Research Center
http://sitemaker.umich.edu/umsarc/home

Center for Chemical Genomics
http://lsi.umich.edu/ccg

National Institute of Mental Health
http://www.nimh.nih.gov/health/publications/the-numbers-count-mental-disorders-in-america/index.shtm

Written by Shantell M. Kirkendoll



[ Back to EurekAlert! ] [ | E-mail Share Share ]

 


AAAS and EurekAlert! are not responsible for the accuracy of news releases posted to EurekAlert! by contributing institutions or for the use of any information through the EurekAlert! system.