Correlative analysis of dopaminergic and serotonergic metabolism across the brain to study monoaminergic function and interaction

Françoise Dellu-Hagedorn, Aurélie Fitoussi, Philippe De Deurwaerdère
Journal of Neuroscience Methods. 2017-03-01; 280: 54-63
DOI: 10.1016/j.jneumeth.2017.01.020

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Dellu-Hagedorn F(1), Fitoussi A(1), De Deurwaerdère P(2).

Author information:
(1)Univ. Bordeaux, F-33000 Bordeaux, France; CNRS, Institut des Neurosciences
Cognitives et Intégratives d’Aquitaine UMR 5287, F-33000 Bordeaux, France.
(2)Univ. Bordeaux, F-33000 Bordeaux, France; CNRS, Institut des Maladies
Neurodégénératives, UMR 5293, F-33000 Bordeaux, France. Electronic address:

BACKGROUND: The widespread innervation of dopamine (DA) and serotonin (5-HT)
systems in cortical and subcortical regions suggests that their biochemical
interactions can occur in multiple regions directly or indirectly via
neurobiological networks.

NEW METHOD: The present study was aimed at validating a neurochemical approach of
monoaminergic function based on inter-individual variability of monoamine tissue
contents in various cortical and subcortical areas. We focused on monoamines
metabolism and examined correlations within and between these monoaminergic
systems in selected regions for the metabolites 3,4-dihydroxyphenylacetic acid
(DOPAC) and/or homovanillic acid (HVA) and 5-hydroxyindole acetic acid (5-HIAA)
alone or with respect to the turnover indexes DOPAC/DA, DOPAC+HVA/DA and

RESULTS: The tissue content of metabolites and their parent drug correlated
within a brain region. Conversely, a few specific relationships (10%) were
observed for each turnover in paired brain regions and even less between the 5-HT
and DA turnovers. The number of correlations was lower when looking at the
metabolite tissue contents. In all cases, the 5-HT and DA turnover indexes or
metabolites correlated positively within a brain region.

COMPARISON WITH EXISTING METHOD(S): These data validate the inter-individual
analysis of monoamine tissue content by providing evidence that the metabolite
correlates with the parent neurotransmitter in the same region. The pattern of
correlations of metabolisms reported here differs from that of the parent
neurotransmitters, notably regarding the relationships of DA turnovers between
striatal territories.

CONCLUSION: The whole neurochemical approach is of interest for characterizing
monoaminergic systems interaction in various genetic or pharmacological models of
neuropsychiatric diseases.


Auteurs Bordeaux Neurocampus