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PLoS One. 2014 Mar 25;9(3):e92543. doi: 10.1371/journal.pone.0092543. eCollection 2014.

Platelet serotonin transporter function predicts default-mode network activity.

Author information

1
Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria.
2
Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria; Center for Medical Physics and Biomedical Engineering, Medical University of Vienna, Vienna, Austria.
3
Department of Laboratory Medicine, Medical University of Vienna, Vienna, Austria; Center for Biomolecular Medicine and Pharmacology, Medical University of Vienna, Vienna, Austria.
4
Department of Psychology, Dresden University of Technology, Dresden, Germany.
5
Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria; Center for Medical Physics and Biomedical Engineering, Medical University of Vienna, Vienna, Austria; Department of Statistics and Probability Theory, Vienna University of Technology, Vienna, Austria.
6
Center for Biomolecular Medicine and Pharmacology, Medical University of Vienna, Vienna, Austria.
7
Department of Laboratory Medicine, Medical University of Vienna, Vienna, Austria.
8
Central Institute of Mental Health, University of Heidelberg, Mannheim, Germany.
9
Center for Medical Physics and Biomedical Engineering, Medical University of Vienna, Vienna, Austria.

Abstract

BACKGROUND:

The serotonin transporter (5-HTT) is abundantly expressed in humans by the serotonin transporter gene SLC6A4 and removes serotonin (5-HT) from extracellular space. A blood-brain relationship between platelet and synaptosomal 5-HT reuptake has been suggested, but it is unknown today, if platelet 5-HT uptake can predict neural activation of human brain networks that are known to be under serotonergic influence.

METHODS:

A functional magnetic resonance study was performed in 48 healthy subjects and maximal 5-HT uptake velocity (Vmax) was assessed in blood platelets. We used a mixed-effects multilevel analysis technique (MEMA) to test for linear relationships between whole-brain, blood-oxygen-level dependent (BOLD) activity and platelet Vmax.

RESULTS:

The present study demonstrates that increases in platelet Vmax significantly predict default-mode network (DMN) suppression in healthy subjects independent of genetic variation within SLC6A4. Furthermore, functional connectivity analyses indicate that platelet Vmax is related to global DMN activation and not intrinsic DMN connectivity.

CONCLUSION:

This study provides evidence that platelet Vmax predicts global DMN activation changes in healthy subjects. Given previous reports on platelet-synaptosomal Vmax coupling, results further suggest an important role of neuronal 5-HT reuptake in DMN regulation.

PMID:
24667541
PMCID:
PMC3965432
DOI:
10.1371/journal.pone.0092543
[Indexed for MEDLINE]
Free PMC Article
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