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Meta-Analysis
. 2015 Aug;25(8):1109-17.
doi: 10.1016/j.euroneuro.2015.04.016. Epub 2015 May 1.

Indirect evidence of selective glial involvement in glutamate-based mechanisms of mood regulation in depression: meta-analysis of absolute prefrontal neuro-metabolic concentrations

Affiliations
Meta-Analysis

Indirect evidence of selective glial involvement in glutamate-based mechanisms of mood regulation in depression: meta-analysis of absolute prefrontal neuro-metabolic concentrations

Danilo Arnone et al. Eur Neuropsychopharmacol. 2015 Aug.

Abstract

Proton magnetic resonance spectroscopy ((1)H MRS) measures glutamatergic metabolites namely glutamate and glutamine located in neurons and astrocytes respectively. In this meta-analysis the contribution of glutamatergic neurotransmission to depressive symptoms was evaluated together with other putative prefrontal metabolites described in the pathogenesis of mood disorders, and in relation to treatment effects. A comprehensive literature search up to 2014 identified 17 reports which measured absolute concentrations of neurometabolites in the prefrontal cortex with (1)H MRS meeting criteria for inclusion in this meta-analysis. Excess of heterogeneity was investigated with meta-regressions. The analyses showed an exclusive reduction in absolute values of the composite measure of Glutamine and Glutamate (Glx) in the prefrontal cortex in depression, correlating in meta-regression analyses with treatment severity. Glutamate measurements in isolation did not differ vs. healthy controls or in relation to treatment and/or clinical improvement. Similarly there were no significant changes in other neurometabolites at baseline and following treatment. The analysis supports a role for glutamatergic dysfunction in the pathogeneses of mood dysregulation. The reduction in the absolute Glx values in the absence of changes in glutamate levels, suggests a possible modulatory role of astrocytes in the pathophysiology of depression.

Keywords: Affective disorders; Depression; Glutamate; MRS; Magnetic resonance spectroscopy; Meta-analysis.

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