Literature DB >> 21907974

Translational magnetic resonance spectroscopy reveals excessive central glutamate levels during alcohol withdrawal in humans and rats.

Derik Hermann1, Wolfgang Weber-Fahr, Alexander Sartorius, Mareen Hoerst, Ulrich Frischknecht, Nuran Tunc-Skarka, Stephanie Perreau-Lenz, Anita C Hansson, Bertram Krumm, Falk Kiefer, Rainer Spanagel, Karl Mann, Gabriele Ende, Wolfgang H Sommer.   

Abstract

BACKGROUND: In alcoholism, excessive glutamatergic neurotransmission has long been implicated in the acute withdrawal syndrome and as a key signal for dependence-related neuroplasticity. Our understanding of this pathophysiological mechanism originates largely from animal studies, but human data are needed for translation into successful medication development.
METHODS: We measured brain glutamate levels during detoxification in alcohol-dependent patients (n = 47) and in healthy control subjects (n = 57) as well as in a rat model of alcoholism by state-of-the-art ¹H-magnetic magnetic resonance spectroscopy at 3 and 9.4 T, respectively.
RESULTS: We found significantly increased glutamate levels during acute alcohol withdrawal in corresponding prefrontocortical regions of treatment-seeking alcoholic patients and alcohol-dependent rats versus respective control subjects. The augmented spectroscopic glutamate signal is likely related to increased glutamatergic neurotransmission because, enabled by the high field strength of the animal scanner, we detected a profoundly elevated glutamate/glutamine ratio in alcohol-dependent rats during acute withdrawal. All dependence-induced metabolic alterations normalize within a few weeks of abstinence in both humans and rats.
CONCLUSIONS: Our data provide first-time direct support from humans for the glutamate hypothesis of alcoholism, demonstrate the comparability of human and animal magnetic resonance spectroscopy responses, and identify the glutamate/glutamine ratio as potential biomarker for monitoring disease progression.
Copyright © 2012 Society of Biological Psychiatry. Published by Elsevier Inc. All rights reserved.

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Year:  2011        PMID: 21907974     DOI: 10.1016/j.biopsych.2011.07.034

Source DB:  PubMed          Journal:  Biol Psychiatry        ISSN: 0006-3223            Impact factor:   13.382


  87 in total

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