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Modulatory effects of brain-derived neurotrophic factor Val66Met polymorphism on prefrontal regions in major depressive disorder

Published online by Cambridge University Press:  02 January 2018

Rebecca MacGregor Legge
Affiliation:
Department of Psychological Medicine, Institute of Psychiatry, King's College London
Shahbaz Sendi
Affiliation:
Department of Psychological Medicine, Institute of Psychiatry, King's College London
James H. Cole
Affiliation:
Computational, Cognitive and Clinical Neuroimaging Laboratory, Department of Medicine, Imperial College London, UK
Sarah Cohen-Woods
Affiliation:
Discipline of Psychiatry, School of Medicine, University of Adelaide, Adelaide, Australia
Sergi G. Costafreda
Affiliation:
Department of Old Age Psychiatry, Institute of Psychiatry, King's College London
Andrew Simmons
Affiliation:
Department of Neuroimaging, Institute of Psychiatry, National Institute of Health Research (NIHR) Biomedical Research Centre for Mental Health at South London and Department of Old Age Psychiatry, Institute of Psychiatry, King's College London
Anne E. Farmer
Affiliation:
Medical Research Council (MRC) Social, Genetic and Developmental Psychiatry Research Centre, Institute of Psychiatry, King's College London, UK
Katherine J. Aitchison
Affiliation:
Department of Psychiatry, University of Alberta, Edmonton, Canada
Peter McGuffin
Affiliation:
NIHR Biomedical Research Centre for Mental Health at South London and Department of Old Age Psychiatry, Institute of Psychiatry, MRC Social, Genetic and Developmental Psychiatry Research Centre, Institute of Psychiatry, King's College London
Cynthia H. Y. Fu*
Affiliation:
Department of Psychological Medicine, Institute of Psychiatry, King's College London, and School of Psychology, University of East London, London, UK
*
Dr C. H. Y. Fu, School of Psychology, University of East London, Stratford Campus, Water Lane, London E15 4LZ, UK. Email: c.fu@uel.ac.uk.
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Abstract

Background

Brain-derived neurotrophic factor (BDNF) Val66Met polymorphism contributes to the development of depression (major depressive disorder, MDD), but it is unclear whether neural effects observed in healthy individuals are sustained in MDD.

Aims

To investigate BDNF Val66Met effects on key regions in MDD neurocircuitry: amygdala, anterior cingulate, middle frontal and orbitofrontal regions.

Method

Magnetic resonance imaging scans were acquired in 79 persons with MDD (mean age 49 years) and 74 healthy volunteers (mean age 50 years). Effects on surface area and cortical thickness were examined with multiple comparison correction.

Results

People who were Met allele carriers showed reduced caudal middle frontal thickness in both study groups. Significant interaction effects were found in the anterior cingulate and rostral middle frontal regions, in which participants in the MDD group who were Met carriers showed the greatest reduction in surface area.

Conclusions

Modulatory effects of the BDNF Val66Met polymorphism on distinct subregions in the prefrontal cortex in MDD support the neurotrophin model of depression.

Information

Type
Papers
Copyright
Copyright © Royal College of Psychiatrists, 2015 
Figure 0

Table 1 Demographic features of the participants

Figure 1

Table 2 Clinical features of the participants with major depressive disorder

Figure 2

Fig 1 A significant main effect of BDNF Val66Met polymorphism which survived correction for multiple comparisons was found in the left caudal middle frontal region (Brodmann’s area 6). Participants who carried the Met allele showed the greatest reduction in cortical thickness in both the major depressive disorder (MDD) and control groups. Boxplots indicate interquartile range, median and range.

Figure 3

Fig 2 The significant interaction effect in the right caudal anterior cingulate. Participants with major depressive disorder (MDD) who carried the Met allele showed the greatest reduction in surface area compared with those homozygous for Val in both the MDD and control groups as well as with those who were Met carriers in the control group. Boxplots indicate interquartile range, median and range.

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