Impact of the BDNF Val66Met Polymorphism on Regional Brain Gray Matter Volumes: Relevance to the Stress Response

Article information

Psychiatry Investig. 2013;10(2):173-179
Publication date (electronic) : 2013 May 30
doi : https://doi.org/10.4306/pi.2013.10.2.173
1Department of Psychiatry, Seoul National University College of Medicine, Seoul, Republic of Korea.
2Department of Brain and Cognitive Sciences - World Class University Program, Seoul National University College of Natural Sciences, Seoul, Republic of Korea.
3Institute of Human Behavioral Medicine, SNU-MRC, Seoul, Republic of Korea.
4Department of Neuropsychiatry, Seoul National University Hospital, Seoul, Republic of Korea.
Correspondence: Jun Soo Kwon, MD, PhD. Department of Psychiatry, Seoul National University College of Medicine, 101 Daehak-ro, Jeon-gu, Seoul 110-744, Republic of Korea. Tel: +82-2-2072-2450, Fax: +82-2-747-9063, kwonjs@snu.ac.kr
Received 2013 January 30; Revised 2013 February 13; Accepted 2013 February 13.

Abstract

Objective

Genetic imaging is used to investigate the mechanism by which genetic variants influence brain structure. In a previous study, a structural change of the dorsolateral prefrontal cortex was associated with symptom modulation in post-traumatic stress disorder patients. This study examined the effect of a polymorphism in the gene encoding brain-derived neurotrophic factor (BDNF) on regional gray matter (GM) volumes and the correlations between the dorsolateral prefrontal GM volume and the stress level in healthy volunteers.

Methods

Sixty-one volunteers underwent genotyping for the BDNF Val66Met single nucleotide polymorphism (SNP) and completed the Stress Response Inventory (SRI). Magnetic resonance images were also acquired, and the effect of each subject's BDNF genotype and SRI subscore on his or her dorsolateral prefrontal GM volume was evaluated.

Results

The Val/Val homozygotes had significantly larger GM volumes in the prefrontal cortex and the precuneus, the uncus, and the superior temporal and occipital cortices than Met carriers. The Met homozygotes demonstrated a higher stress response in depression domain than Val/Val and Val/Met groups. A negative correlation between the middle frontal cortex GM volume and the SRI depression subscore was found.

Conclusion

These findings indicate an interaction between genes and brain structure, and they suggest that differences in dorsolateral prefrontal GM volume related to the BDNF Val66Met SNP are associated with resilience to stressful life events, particularly in the dimension of emotion.

INTRODUCTION

Brain-derived neurotrophic factor (BDNF), a neurotrophin, plays essential roles in neuronal proliferation, differentiation, and survival during development and functions in the molecular mechanisms underlying neural plasticity and connectivity. In addition, BDNF is associated with neuronal plasticity in response to stressful life events. Acute and chronic stresses increase BDNF expression in the basolateral amygdala.1 Moreover, BDNF itself stimulates hypothalamic hormone synthesis,2 which might be directly involved in the physiological response to stress. Additionally, BDNF-related stress resilience is conducted via the mesolimbic pathways, which are associated with bidirectional projections between the ventral tegmental area versus the nucleus accumbens and the prefrontal cortex (PFC).3 The PFC is a region of abundant expre-ssion among the many areas of the central nervous system in which BDNF is expressed.

An important polymorphism has been identified in codon 66 of the gene encoding BDNF, which is located on chromosome 11p14.1. This single nucleotide polymorphism (SNP) causes the substitution of methionine (Met) for valine (Val) (Val66Met). The Met allele has been linked with functional impairment of the hippocampus, including that of working memory performance.4 Additionally, the presence of the Met allele is associated with a decreased gray matter (GM) volume throughout the PFC, including the anterior cingulate cortex (ACC),5,6 the dorsolateral PFC (DLPFC),7 and the medial temporal lobes, which include the hippocampus, parahippocampal gyrus, and amygdala.8

Several recent studies have suggested that gene-stress interactions are mediated by regional brain volume differences according to the SNP allelic composition; the BDNF Val66Met SNP and DLPFC may be relevant candidates. In previous studies of subjects with post-traumatic stress disorder (PTSD) who had experienced traumatic stress, the structure and function of the DLPFC were reported to be altered; these changes were hypothesized to play an important role in modulating the fear and anxiety circuits.9 A recent neuroimaging study showed that greater DLPFC thickness is associated with greater PTSD symptom improvement and that the BDNF Val66Met gene polymorphism is associated with DLPFC thickness in PTSD patients.10 The authors concluded that the DLPFC thickness increased via the experience-dependent synaptic plasticity mediated by BDNF genetic variation in PTSD patients. However, the roles BDNF and the DLPFC play in mediating stress in healthy subjects remain unclear.

The present study examined regional GM volume differences in relation to the BDNF Val66Met SNP in normal subjects. Additionally, regarding the hypothesized role of the DLPFC in corticosteroid-related stress reactivity, which is under BDNF-related physiologic control, we analyzed the correlation between the DLPFC GM volume and the level of stress in 61 healthy volunteers. We sought to elucidate the structural neural correlate of the stress response in relation to the BDNF Val66Met SNP in the normal population.

METHODS

Participants

A total of 61 healthy volunteers (35 males and 26 females) were recruited as subjects and were evaluated using the Structured Clinical Interview for DSM-IV non-patient version. None of the subjects had been diagnosed with psychosis, bipolar disorder, major depressive disorder, substance abuse or dependence, significant head injury, seizure disorder, or an IQ lower than 70. This study was approved by the Institutional Review Board at Seoul National University Hospital, and written informed consent was obtained from all participants after the procedures had been fully explained. This study was conducted in accordance with the Declaration of Helsinki.

All participants completed the Stress Response Inventory (SRI),11 a self-report questionnaire that evaluates stress responses. The SRI includes 22 questions designed to address the following dimensions: somatization, depression, and anger. Each question was scored on a 5-point Likert scale, from 0 ("not at all") to 4 ("absolutely"). The reliability of the SRI was confirmed by measuring Cronbach's alpha (somatization, 0.89; depression, 0.88; and anger, 0.87).12

Genotyping of BDNF

The subjects' DNA was genotyped for the BDNF Val66Met SNP. Whole blood (12 mL) was drawn from each participant by venipuncture into EDTA-containing tubes. After measuring the blood volume, a 1-mL aliquot was stored at -20℃ until genomic DNA extraction. Genomic DNA was isolated from 200 µL of whole blood using a QIAamp DNA Blood Mini Kit (Qiagen, Hilden, Germany). The BDNF polymorphism was detected by TaqMan allelic discrimination assays using an ABI Prism 7500 Sequence Detection System (Applied Biosystems, Foster City, CA, USA), by which the BDNF Val66Met (rs6265, C__11592758_10) SNP was investigated. The reaction mixture contained 5 µL of 2× TaqMan genotyping master mix, 0.5 µL of 20× drug metabolism genotyping assay mix, 3.5 µL of DNase-free water, and 1 µL of genomic DNA in a total volume of 10 µL. The products were analyzed using ABI Prism 7500 Sequence Detection System software (version 2.0.1).

Magnetic resonance image acquisition and preprocessing

Magnetic resonance images were acquired on a 1.5 T Magnetom Avanto scanner (Siemens, Erlangen, Germany) using a T1-weighted magnetization-prepared rapid acquisition gradient echo sequence with the following imaging parameters: acquisition matrix=256×256, voxel size=0.45×0.45×0.90 mm3, axial slices=176, field of view=23×23 cm2, repetition time=1,160 ms, echo time=4.76 ms, and no slice gap.

The raw DICOM magnetic resonance imaging (MRI) data were converted to the NIFTI format using SPM8 software (http://www.fil.ion.ucl.ac.uk/spm/software/spm8/) running on MATLAB R2010B (The MathWorks Inc., Natick, MA, USA). Brain volume normalizing, bias correcting, and segmentation into GM, white matter (WM), and cerebrospinal fluid (CSF) were performed with the VBM8 toolbox (http://dbm.neuro.uni-jena.de/vbm/), which is incorporated in SPM8. This method uses an optimized voxel-based morphometry (VBM) protocol and a model based on Hidden Markov Random Fields, which was developed to increase the signal-to-noise ratio. The total volumes of GM, WM, and CSF were calculated by adding the resulting tissue probabilities. Total brain volume was defined as the sum of the GM and WM volumes. Afterwards, the volume images were smoothed using an isotropic Gaussian kernel (full width at half maximum=8 mm).

Statistical analysis

Chi-square tests were performed to verify Hardy-Weinberg equilibrium and to compare the allelic and genotypic frequencies.

Analysis of variance (ANOVA) was used to compare demographic data and three SRI subscores (somatization, depression, and anger) among the Val/Val, Val/Met, and Met/Met groups, and a post-hoc analysis was conducted for pairwise comparisons between each genotype group.

Voxelwise comparisons was applied to the GM images using genotype (Val/Val homozygotes vs Met+ carriers) as the factor and age and sex as covariates. All statistical tests for GM imaging were executed with a threshold of uncorrected p<0.005 and k>50. For the region of interest (ROI) analysis, statistically significant clusters showing the greater brain volume of the Val/Val group compared to the Met+ group were extracted using the MarsBaR toolbox (version 0.42).

Correlations between the SRI subscores and ROI cluster of the dorsolateral prefrontal cortex were also investigated. The significance threshold was set at p<0.05, and a Bonferroni correction (p<0.017) was applied to the SRI subscores ANOVA and correlation analysis. Tukey's test was used for a post-hoc pairwise analysis. All analyses were conducted using PASW version 18.0 (Statistical Package for the Social Sciences, SPSS Inc., Chicago, IL, USA) and SPM8 (Statistical Parametric Mapping, Wellcome Department, University College of London, UK, http://www.fil.ion.ucl.ac.uk/spm).

RESULTS

Demographic and genetic characteristics

Our study included 61 subjects in total and grouped them according to BDNF genotype into 20 Val allele homozygotes (Val/Val), 29 heterozygotes (Val/Met), and 12 Met allele homozygotes (Met/Met). The frequency of the BDNF genotypes was 32.8% for Val/Val, 47.5% for Val/Met, and 19.7% for Met/Met in our sample. There were 20 Val homozygotes and 41 Met allele carriers. There were no statistically significant differences in age, sex, or IQ between the genotype groups (Table 1). No significant deviation from Hardy-Weinberg equilibrium was found (χ2=0.06, p>0.05).

Table 1

Demographic data, genetic polymorphism profile of subjects and the SRI scores

Effect of BDNF genotype on regional brain GM volumes

VBM revealed regional brain GM differences between the two groups (Val/Val and Met+)(Table 2). In the DLPFC region, left inferior frontal gyrus (BA 45) and middle frontal gyrus (BA 9) were smaller in Met+ group. Met+ carriers also had smaller GM volumes in the right culmen of the cerebellum, right uncus of the basal ganglia (BA 36 and 28), right superior temporal gyrus (BA 38), left superior occipital gyrus (BA 19), left precuneus (BA 19), and left superior parietal lobule (BA 7) than Val homozygotes. In contrast, the regional GM volumes of the left superior frontal gyrus (BA 10) and left superior parietal lobule (BA 7) were larger in the Met+ group (uncorrected p<0.005, k>50)(Figure 1).

Table 2

Regional differences in brain gray matter volume between BDNF Val homozygote group (N=20) and BDNF Met+group (N=41)*

Figure 1

Significant differences in gray matter volume in relation to the BDNF SNP projected on a standard brain template (Significance thresholds: uncorrected p<0.005 and k>50). BDNF: brain-derived neurotrophic factor, Val: valine, Met: methionine, SNP: single nucleotide polymorphism.

Effect of BDNF genotype on the stress response

Groups of different BDNF genotypes showed a significant difference on the SRI depression subscore (F=4.682, p=0.013)(Figure 2). Met/Met homozygotes had a higher SRI depression subscore than Val/Val homozygotes (p=0.011, Tukey corrected) and Val/Met heterozygotes (p=0.044, Tukey corrected) in the post-hoc analysis. Regarding the somatization and anger SRI scores, no statistically significant differences were found according to the genotypes.

Figure 2

Significant differences in SRI depression scores according to BDNF SNP genotypes. *p<0.05, multiple comparison corrected. SRI: stress response inventory, BDNF: brain-derived neurotrophic factor, SNP: single nucleotide polymorphism, Val: valine, Met: methionine.

Correlations between the SRI subscores and ROIs

We selected a significant cluster from the left inferior frontal and middle frontal cortex as ROIs to further investigate the correlations between the three SRI subscores (somatization, depression, and anger) and GM volume of the DLPFC. A statistically significant correlation was found between the SRI depression subscore and the left middle frontal GM volume for all 61 subjects [Pearson's correlation coefficient=-0.313, p=0.014; p<0.05/3 (Bonferroni corrected)](Figure 3, Table 3). There were no significant correlations between the inferior frontal gyrus GM volume and the SRI subscores.

Figure 3

Scatterplot depicting the distributions of the SRI depression subscore and the brain GM volume of the left middle frontal gyrus in all subjects. Solid line: trend of the correlation between the two variables. SRI: stress response inventory, GM: gray matter, Val: valine, Met: methionine.

Table 3

Partial correlation analyses showing degrees of correlation between SRI and gray matter volume of left middle frontal gyrus in the whole subjects (N=61)

DISCUSSION

In this study, we aimed to elucidate the structural neural correlate of stress resilience in relation to the BDNF Val66Met polymorphism in normal subjects. We found that Met/Met homozygotes had a higher stress response in the depression domain (SRI depression subscore) compared to the Val/Val and Val/Met groups. By investigating whole-brain GM volume differences according to the BDNF Val66Met SNP, we found that brain areas such as the middle frontal gyrus, the inferior frontal gyrus, precuneus, uncus, and superior temporal cortex had smaller GM volumes in the BDNF Met carriers compared to Val homozygotes. Additionally, we found a negative correlation between the GM volume of the middle frontal cortex (BA 9) and the stress response measured by the SRI depression subscore. To our knowledge, this is one of the first reports to demonstrate that the BDNF Val66Met SNP mediates resilience to stressful life events by influencing regional GM volume, particularly in the DLPFC region.

The middle and inferior frontal cortices exhibited greater GM volumes in the Val homozygotes compared to the Met allele carriers in this study. This result is in line with those of a previous VBM study targeting patients with bipolar disorder, which reported smaller GM volumes in the DLPFC and hippocampus in Val/Met bipolar patients compared with Val homozygote patients.13 In addition, the presence of the Met allele was reported to be associated with a more profound and widespread reduction in the bilateral DLPFC GM volume in a healthy aged population.14 The DLPFC has been identified as the neural correlate of psychological recovery from a severely stressful event because the degree of cortical thickness enrichment in the DLPFC area after trauma exposure could successfully predict the reduction in PTSD symptoms.10 In particular, we showed a correlation between a greater middle frontal gyrus (BA 9) GM volume and the lower SRI depression subscore. This result is in line with a previous functional MRI (fMRI) study of acutely traumatized individuals using a script-driven trauma imagery paradigm, in which BOLD activation of the middle frontal cortex (BA 47) was correlated with resilience to the stressful event.15 In another fMRI study using the emotional face paradigm, DLPFC hypo-activation was significantly correlated with the degree of cognitive vulnerability to stress, in-line with the diathesis-stress theory of depression.16

We found that several posterior brain regions were correlated with the BDNF SNP and could function as neural correlates of various stress reactions. In the 99m-HMPAO SPECT study, which compared patients with PTSD and trauma-exposed non-symptomatic controls, differences in HMPAO tracer distribution were found in the uncus.17 Likewise, recall of trauma-related autobiographic memory in PTSD patients was related to increased cerebral blood flow in the precuneus,18 which was negatively correlated with the WHO-10 score, a measure of current subjective well-being. In the temporal area, cortical thinning in the right superior temporal gyrus of subjects with PTSD was associated with an M50 auditory sensory gating deficit.19 The superior temporal and occipital (BA 19) cortices also showed increased activation in traumatic script-driven dissociative responses in PTSD patients who had been sexually abused.20

The superior parietal lobule (SPL) is regarded as a component of the mirror neuron system and also as a neural correlate of analytical reasoning, including cognitive coping strategies for stressful life events.21,22 In this study, a group compa-rison according to the BDNF Val66Met SNP revealed diverse GM thicknesses along the rostro-caudal axis of the left SPL (BA 7). Specifically, the GM volume of the posterior portion of the SPL (7P) was thicker in the Val homozygote group, wh-ereas that of the SPL anterior portion (7A) was thicker in the Met+ group. The left SPL area showed decreased activation during exposure to an emotional stress paradigm in a previous fMRI study of somatoform pain disorder patients.23 This result needs further investigation.

This study had several limitations that should be considered. First, we did not consider the presence and intensity of previous stressful life events, despite the possible effect of BDNF expression. Likewise, physiologic responses to stressful events, including increased cortisol levels, could have a deleterious effect on regional brain volumes, including those of the hippocampus and prefrontal cortices.24,25 Second, we had to merge the Val/Met and Met/Met groups as Met carriers in the GM analysis because of the small number of Met homozygotes (n=12). Recently, an MRI study of Met/Met individuals argued that they had a wider GM difference than Val/Met heterozygotes compared to Val/Val homozygotes.26 Due to the small allele frequency of Met, further research is needed with a larger sample size.

In this VBM-based study of regional GM volume differences according to the BDNF Val66Met SNP, we found that the dorsolateral prefrontal region and multiple posterior brain regions in the cerebellum, visual association cortex, superior temporal cortex, uncus, and precuneus showed significantly decreased GM volumes in the Met+ carriers compared to Val homozygotes. Met/Met homozygotes demonstrated a higher stress response in the depression domain compared to the Val/Val and Val/Met groups. Moreover, a negative correlation was found between the GM volume of the DLPFC and the SRI depression subscore, suggesting that regional GM volume differences according to the BDNF Val66Met SNP are associated with resilience to stressful life events, especially in the dimension of mood regulation. A future study exploring the interaction between BDNF expression, stressful life events, regional brain volumes, and resilience to stressful events sh-ould help elucidate these complex gene-environment interactions.

Acknowledgments

This study was supported by the National Research Foundation of Korea (NRF) Grant funded by the Korean government (MEST) (no. 2011-0015639).

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Article information Continued

Figure 1

Significant differences in gray matter volume in relation to the BDNF SNP projected on a standard brain template (Significance thresholds: uncorrected p<0.005 and k>50). BDNF: brain-derived neurotrophic factor, Val: valine, Met: methionine, SNP: single nucleotide polymorphism.

Figure 2

Significant differences in SRI depression scores according to BDNF SNP genotypes. *p<0.05, multiple comparison corrected. SRI: stress response inventory, BDNF: brain-derived neurotrophic factor, SNP: single nucleotide polymorphism, Val: valine, Met: methionine.

Figure 3

Scatterplot depicting the distributions of the SRI depression subscore and the brain GM volume of the left middle frontal gyrus in all subjects. Solid line: trend of the correlation between the two variables. SRI: stress response inventory, GM: gray matter, Val: valine, Met: methionine.

Table 1

Demographic data, genetic polymorphism profile of subjects and the SRI scores

Table 1

Means±SD. *p<0.05/3=0.017. BDNF: brain-derived neurotrophic factor, Val: valine, Met: methionine, SRI: stress response inventory

Table 2

Regional differences in brain gray matter volume between BDNF Val homozygote group (N=20) and BDNF Met+group (N=41)*

Table 2

*p<0.005 and k>50. BDNF: brain-derived neurotrophic factor, Val: valine, Met: methionine, BA: Brodmann area, MNI: Montreal Neurological Institute, OFC: orbitofrontal cortex

Table 3

Partial correlation analyses showing degrees of correlation between SRI and gray matter volume of left middle frontal gyrus in the whole subjects (N=61)

Table 3

*p<0.05/3=0.017. SRI: stress response inventory, GM: gray matter, MFG: middle frontal gyrus