Literature DB >> 19233297

High familial risk for mood disorder is associated with low dorsolateral prefrontal cortex serotonin transporter binding.

Vibe G Frokjaer1, Maj Vinberg, David Erritzoe, Claus Svarer, William Baaré, Esben Budtz-Joergensen, Karine Madsen, Jacob Madsen, Lars V Kessing, Gitte M Knudsen.   

Abstract

Mood disorders are elicited through a combination of genetic and environmental stress factors, and treatment with selective serotonin reuptake inhibitors ameliorates depressive symptoms. Changes in the serotonin transporter (SERT) binding may therefore occur in depressive patients and in subjects at risk for developing depression. The aim of this study was to explore whether abnormalities in SERT might be present in healthy individuals with familial predisposition to mood disorder. Nine individuals at high familial risk (mean age 32.2+/-4.2 years) and 11 individuals at low risk (mean age 32.4+/-5.0 years) for developing mood disorder were included. The subjects were healthy twins with or without a co-twin history of mood disorder identified by linking information from the Danish Twin Register and the Danish Psychiatric Central Register. Regional in vivo brain serotonin transporter binding was measured with [(11)C]DASB PET. The volumes of interest included the orbitofrontal cortex, the dorsolateral prefrontal cortex, the ventrolateral prefrontal cortex, anterior cingulate, caudate, putamen, thalamus, and midbrain. We found that individuals at high familial risk for mood disorders had a 35% reduction in SERT binding in dorsolateral prefrontal cortex (p=0.014, Bonferroni corrected) and on a trend basis a 15% reduction in anterior cingulate (p=0.018, un-corrected). The depression and symptom scores of the high and the low risk individuals were not significantly different. In conclusion, our data suggest that a low SERT binding in dorsolateral prefrontal cortex represents a trait marker for mood disorders.

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Year:  2009        PMID: 19233297     DOI: 10.1016/j.neuroimage.2009.02.008

Source DB:  PubMed          Journal:  Neuroimage        ISSN: 1053-8119            Impact factor:   6.556


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