No association between the brain-derived neurotrophic factor gene and panic disorder in Japanese population

Pathoclinical associations between panic disorders and the brain-derived neurotrophic factor Val66Met polymorphism: an updated meta-analysis

Prior studies have indicated the pathological role of brain-derived neurotrophic factor (BDNF) gene polymorphism in panic disorders (PD). A functionally less active BDNF Val66Met mutant was previously detected in PD patients with different ethnic backgrounds. However, the results remain inconclusive or inconsistent. A meta-analysis was used to explore the consistency of the BDNF Val66Met mutant's association with PD irrespective of the subject's ethnicity. Relevant case-controlled full-length clinical and preclinical reports were retrieved by database searching, and 11 articles involving 2203 cases and 2554 controls were systematically selected per the standard inclusion criteria. Eleven articles were finally included that explored the relationship between the Val66Met polymorphism and PD risk susceptibility. Statistical analysis revealed a significant genetic association of the mutation, allele frequencies, and genotype distributions of BDNF with PD onset. Our findings demonstrated that the BDNF Val66Met is a susceptibility factor of PD.

The Relationship Among BDNF Val66Met Polymorphism, Plasma BDNF Level, and Trait Anxiety in Chinese Patients With Panic Disorder

BACKGROUND

Brain-derived neurotrophic factor (BDNF) is a candidate for susceptibility locus of Panic disorder (PD). However, the findings about the role of the BDNF Val66Met variant in PD were not consistent. Till now, the relationship between BDNF Val66Met polymorphism and anxiety-related traits in PD patients has been rarely explored. This study aimed to explore the relationship among BDNF Val66Met polymorphism, plasma BDNF level and anxiety-related trait in Chinese PD patients.

METHOD

This multi-center study included 116 PD patients and 99 health controls. We detected single-nucleotide polymorphism (SNP) of BDNF rs6265 (Val66Met) and BDNF plasma level in the two groups. In addition, PD patients were administered the State-Trait Anxiety Inventory (STAI), Panic Disorder Severity Scale-Chinese Version (PDSS-CV) and Hamilton Anxiety Rating Scale (HAMA-14). Quantitative comparison of the differences of BDNF concentration among subjects with different genotypes and association between BDNF Val66Met genotype and trait anxiety were performed.

RESULTS

There were no significant differences in the genotype frequency (p = 0.79) or allele frequency (p = 0.88) between PD patients and health controls. BDNF plasma levels of PD patients were significantly lower than those in control group (p = 0.003). BDNF plasma levels of the Met/Met genotype were significantly lower than those of Val/Met genotype in PD patients (p = 0.033). PD patients carried Met/Met genotype showed significantly higher scores in STAI trait compared to those carried Val/Val genotype (p = 0.045) and Val/Met genotype (p = 0.018). STAI trait scores of PD patients with agoraphobia were significantly higher than those of patients without agoraphobia (p < 0.05). The ANCOVA showed that the dependent variable STAI trait score was significantly affected by factor "genotype" (Val/Val, Val/Met, Met/Met, p = 0.029), and covariate "agoraphobia" (p = 0.008). In this model, 11.5% of the variance of the STAI trait score was explained by the BDNF genotype. Contrast analysis showed STAI trait scores of Met/Met subjects were significantly higher than those of Val/Met (p = 0.018) and Val/Val individuals (p = 0.045).

CONCLUSION

We found that anxiety trait was associated with the BDNF polymorphism in PD patients. BDNF Met/Met genotype may decrease plasma BDNF level and increase trait anxiety in panic disorder.

Associations between brain-derived neurotrophic factor and cognitive impairment in panic disorder

INTRODUCTION

Our study was designed to examine the relationship between Brain-Derived Neurotrophic Factor (BDNF) genotypes (rs6265, Val66Met), BDNF plasma levels, and cognitive impairment in Chinese patients with panic disorder (PD).

METHODS

Total 85 patients with PD and 91 healthy controls finally completed all assessments. The severity of panic symptoms and whole anxiety of PD was measured by Panic Disorder Severity Scale-Chinese Version (PDSS-CV) and Hamilton Anxiety Scale (HAMA-14). Montreal Cognitive Assessment (MoCA) and some neurocognitive measures were conducted to evaluate the cognitive performance. All participants were detected for the plasma BDNF levels and BDNF Val66Met polymorphism before assessment and treatment.

RESULTS

No significant differences were found in the BDNF allele frequencies and the BDNF genotype distributions between healthy controls and PD patients. BDNF Met/Met genotype was associated with lower BDNF plasma levels in PD patients, and PD patients with BDNF Met/Met genotype had the lower scores in the attention and speed of processing domains compared to those with Val/Val and Met/Val genotype (p's < .05). Among PD patients, the BDNF plasma levels showed moderate positive correlations with Stroop interference (r = .60, p < .001). Using the MoCA data, the BDNF plasma levels were correlated with delayed memory (r = .50, p < .001), verbal learning (r = .45, p < .001), and total scores of MoCA (r = .51, p < .001).

CONCLUSIONS

The BDNF Met/Met genotype may be associated with lower BDNF plasma levels and cognitive impairments in PD patients.

Pre-treatment peripheral biomarkers associated with treatment response in panic symptoms in patients with major depressive disorder and panic disorder: A 12-week follow-up study

OBJECTIVE

Peripheral biomarkers have been studied to predict treatment response of panic symptoms. We hypothesized that depressive disorder (MDD) vs. panic disorder (PD) would exhibit different peripheral biomarkers, and their correlation with severity of panic attacks (PA) would also differ.

METHODS

Forty-one MDD patients, 52 PD patients, and 59 healthy controls were followed for 12 weeks. We measured peripheral biomarkers along with the Panic Disorder Severity Scale (PDSS) at each visit-pre-treatment, 2, 4, 8, and 12 weeks on a regular schedule. Peripheral biomarkers including serum cytokines, plasma and serum brain-derived neurotrophic factor (BDNF), leptin, adiponectin, and C-reactive protein (CRP) were quantified using enzyme-linked immunosorbent assay (ELISA).

RESULTS

Patients with MDD and PD demonstrated significantly higher levels of pre-treatment IL-6 compared to controls, but no differences were seen in plasma and serum BDNF, leptin, adiponectin, and CRP. Pre-treatment leptin showed a significant clinical correlation with reduction of panic symptoms in MDD patients at visit 5 (p=0.011), whereas pre-treatment IL-6 showed a negative correlation with panic symptom reduction in PD patients (p=0.022). An improvement in three panic-related items was observed to be positively correlated with pre-treatment leptin in MDD patients: distress during PA, anticipatory anxiety, and occupational interference.

CONCLUSION

Higher pre-treatment leptin was associated with better response to treatment regarding panic symptoms in patients with MDD, while higher IL-6 was associated with worse response regarding panic symptoms in PD patients. Different predictive peripheral biomarkers observed in MDD and PD suggest the need for establishing individualized predictive biomarkers, even in cases of similar symptoms observed in different disorders.

The BDNF Val66Met gene polymorphism is associated with increased alexithymic and anticipatory anxiety in patients with panic disorder

A large body of evidence indicates that patients with panic disorder(PD) report more obvious alexithymia, and previous studies suggest genetic factors may be play an important role in alexithymia. This study aims to examine the association between the Brain-derived neurotrophic factor (BDNF) Val66Met polymorphism and alexithymia, and then to evaluate the association of the BDNFVal66Met polymorphism with PD risk. 223 patients with PD and 218 healthy controls were enrolled in the study. The Toronto Alexithymia Scale (TAS-20), and Panic Disorder Severity Scale (PDSS) were administered to all subjects. And genotyping of the BDNF Val 66Met polymorphism was evaluated. Our results showed that both PD patients and normal controls with the BDNF Met/Met genotype had significantly higher total and difficulty describing feelings(DDF) subdimension scores on the TAS-20 than those with the Val/Val genotype.The patients with the BDNF Met/Met genotype were more severity of anticipatory anxiety than patients with Val/Val genotype.

Is the Val66Met polymorphism of the brain-derived neurotrophic factor gene associated with panic disorder? A meta-analysis

Although emerging evidence has suggested an association between the Val66Met (rs6265) polymorphisms in brain-derived neurotrophic factor (BDNF) gene and the panic disorder, the conclusion is inclusive given the mixed results. This meta-analysis reviewed and analyzed the recent studies addressing the potential association between the Val66Met polymorphisms and panic disorder susceptibility. Related case-control studies were retrieved by database searching and selected according to established inclusion criteria. Six articles were identified, which explored the association between the BDNF Val66Met polymorphism and panic disorder. Statistical analyses revealed no association for the allele contrast and the dominant model. However, the recessive model showed a significant association between the BDNF Val66Met polymorphism and panic disorder (odds ratio = 1.26, 95% confidence interval = 1.04-1.52, z = 2.39, P = 0.02). Despite of some limitations, this meta-analysis suggests that the Val66Met polymorphism of BDNF gene is a susceptibility factor for panic disorder.

Candidate genes in panic disorder: meta-analyses of 23 common variants in major anxiogenic pathways

The utilization of molecular genetics approaches in examination of panic disorder (PD) has implicated several variants as potential susceptibility factors for panicogenesis. However, the identification of robust PD susceptibility genes has been complicated by phenotypic diversity, underpowered association studies and ancestry-specific effects. In the present study, we performed a succinct review of case-control association studies published prior to April 2015. Meta-analyses were performed for candidate gene variants examined in at least three studies using the Cochrane Mantel-Haenszel fixed-effect model. Secondary analyses were also performed to assess the influences of sex, agoraphobia co-morbidity and ancestry-specific effects on panicogenesis. Meta-analyses were performed on 23 variants in 20 PD candidate genes. Significant associations after correction for multiple testing were observed for three variants, TMEM132D rs7370927 (T allele: odds ratio (OR)=1.27, 95% confidence interval (CI): 1.15-1.40, P=2.49 × 10(-6)), rs11060369 (CC genotype: OR=0.65, 95% CI: 0.53-0.79, P=1.81 × 10(-5)) and COMT rs4680 (Val (G) allele: OR=1.27, 95% CI: 1.14-1.42, P=2.49 × 10(-5)) in studies with samples of European ancestry. Nominal associations that did not survive correction for multiple testing were observed for NPSR1 rs324891 (T allele: OR=1.22, 95% CI: 1.07-1.38, P=0.002), TPH1 rs1800532 (AA genotype: OR=1.46, 95% CI: 1.14-1.89, P=0.003) and HTR2A rs6313 (T allele: OR=1.19, 95% CI: 1.07-1.33, P=0.002) in studies with samples of European ancestry and for MAOA-uVNTR in female PD (low-active alleles: OR=1.21, 95% CI: 1.07-1.38, P=0.004). No significant associations were observed in the secondary analyses considering sex, agoraphobia co-morbidity and studies with samples of Asian ancestry. Although these findings highlight a few associations, PD likely involves genetic variation in a multitude of biological pathways that is diverse among populations. Future studies must incorporate larger sample sizes and genome-wide approaches to further quantify the observed genetic variation among populations and subphenotypes of PD.

The BDNF gene Val66Met polymorphism as a modifier of psychiatric disorder susceptibility: progress and controversy

Brain-derived neurotrophic factor (BDNF) has a primary role in neuronal development, differentiation and plasticity in both the developing and adult brain. A single-nucleotide polymorphism in the proregion of BDNF, termed the Val66Met polymorphism, results in deficient subcellular translocation and activity-dependent secretion of BDNF, and has been associated with impaired neurocognitive function in healthy adults and in the incidence and clinical features of several psychiatric disorders. Research investigating the Val66Met polymorphism has increased markedly in the past decade, and a gap in integration exists between and within academic subfields interested in the effects of this variant. Here we comprehensively review the role and relevance of the Val66Met polymorphism in psychiatric disorders, with emphasis on suicidal behavior and anxiety, eating, mood and psychotic disorders. The cognitive and molecular neuroscience of the Val66Met polymorphism is also concisely reviewed to illustrate the effects of this genetic variant in healthy controls, and is complemented by a commentary on the behavioral neuroscience of BDNF and the Val66Met polymorphism where relevant to specific disorders. Lastly, a number of controversies and unresolved issues, including small effect sizes, sampling of allele inheritance but not genotype and putative ethnicity-specific effects of the Val66Met polymorphism, are also discussed to direct future research.

Effect of variation in BDNF Val(66)Met polymorphism, smoking, and nicotine dependence on symptom severity of depressive and anxiety disorders

BACKGROUND

Smoking, especially nicotine dependence is associated with more severe symptoms of depression and anxiety disorders. However, the mechanisms underlying this association are unclear. We investigated the effect of brain-derived neurotrophic factor (BDNF) Val(66)Met polymorphism on the severity of depressive and anxiety symptoms in never-smokers, former smokers, non-dependent, and nicotine-dependent smokers with a current diagnosis of depression and/or anxiety.

METHODS

Patients with depressive or anxiety disorders and with available BDNF Val(66)Met polymorphism data (N=1271) were selected from Netherlands Study of Depression and Anxiety (NESDA). Dependent variables were severity of symptoms. Independent variables were smoking status and BDNF genotype. Age, sex, education, recent negative life events, alcohol use, body mass index, and physical activity were treated as covariates.

RESULTS

After controlling for covariates, nicotine-dependent smokers had more severe depressive symptoms than non-dependent smokers, former and never-smokers. The latter three groups did not differ in severity of depression. In Val(66)Val carriers, nicotine-dependent smokers had more severe symptoms of depression and anxiety than the other three groups, which were comparable in symptom severity. In Met(66) carriers, there were no group differences on severity of depression and anxiety. Nicotine dependence was the strongest predictor of severity of symptoms only in Val(66)Val carriers.

CONCLUSIONS

In patients with a current diagnosis of depression or anxiety, the relationship between nicotine dependence and symptom severity may be moderated by BDNF Val(66)Met. These results suggest that inherent genetic differences may be crucial for the worse behavioral outcome of nicotine, and that Val(66)Val carriers may benefit most in mental health from smoking cessation.

Evidence for Association between the Brain-Derived Neurotrophic Factor Gene and Panic Disorder: A Novel Haplotype Analysis

OBJECTIVE

Panic disorder (PD) is a common psychiatric disorder with a complex etiology, and several studies have suggested that it has a genetic component. Brain-derived neurotrophic factor (BDNF) is the most abundant of the neurotrophins in the brain and is recognized for its important role in the survival, differentiation and growth of neurons. Several lines of research have suggested possible associations between the BDNF gene and PD. In this study, we investigated the BDNF 196G/A (rs6265), 11757G/C (rs16917204), and 270C/T (rs56164415) single nucleotide polymorphisms (SNPs) in order to determine an association with PD. We also identified the genetic sequence associations with PD via haplotype analysis.

METHODS

Participants in this study included 136 PD patients and 263 healthy controls. Male and female subjects were analyzed separately. The genotype and allele frequencies of the PD patients and controls were analyzed using χ(2) statistics. Frequencies and haplotype reconstructions were calculated using the SNP analyzer 2.0.

RESULTS

We found no significant statistical differences in the genotype distributions or allele frequencies of the three tested polymorphisms between the PD and control groups. In addition, no differences were found between PD patients and the controls in either male or female subgroups. However, we found that, the frequency of the G-C haplotype for 196G/A and 11757G/C was significantly higher in PD patients than in the controls.

CONCLUSION

Our result suggest that patients with the G-C haplotype for 196G/A and 11757G/C may be more susceptible to the development of PD. Further studies are needed to replicate the associations that we observed.

BDNF-TrkB receptor regulation of distributed adult neural plasticity, memory formation, and psychiatric disorders

Brain-derived neurotrophic factor (BDNF) and its single transmembrane receptor, tropomysin-related kinase B (TrkB), are essential for adult synaptic plasticity and the formation of memories. However, there are regional and task-dependent differences underlying differential mechanisms of BDNF-TrkB function in the formation of these memories. Additionally, the BDNF pathway has been implicated in several psychiatric disorders including posttraumatic stress disorder, phobia, and panic disorder. Gaining a better understanding of this pathway and the neurobiology of memory through fundamental research may be helpful to identify effective prevention and treatment approaches both for diseases of memory deficit as well as in cases of enhanced aversive memory, such as in anxiety disorders.

Reprint of: Effects of BDNF polymorphisms on brain function and behavior in health and disease

Brain-derived neurotrophic factor (BDNF), the most abundant neurotrophin in the brain, serves an important role during brain development and in synaptic plasticity. Given its pleiotropic effects in the central nervous system, BDNF has been implicated in cognitive function and personality development as well as the pathogenesis of various psychiatric disorders. Thus, BDNF is considered an attractive candidate gene for the study of healthy and diseased brain function and behaviors. Over the past decade, many studies have tested BDNF genetic association, particularly its functional Val66Met polymorphism, with psychiatric diseases, personality disorders, and cognitive function. Although many reports indicated a possible role for BDNF genetic effects in mental problems or brain function, other reports were unable to replicate the findings. The conflicting results in BDNF genetic studies may result from confounding factors such as age, gender, other environmental factors, sample size, ethnicity and phenotype assessment. Future studies with more homogenous populations, well-controlled confounding factors, and well-defined phenotypes are needed to clarify the BDNF genetic effects on mental diseases and human behaviors.

Effects of BDNF polymorphisms on brain function and behavior in health and disease

Brain-derived neurotrophic factor (BDNF), the most abundant neurotrophin in the brain, serves an important role during brain development and in synaptic plasticity. Given its pleiotropic effects in the central nervous system, BDNF has been implicated in cognitive function and personality development as well as the pathogenesis of various psychiatric disorders. Thus, BDNF is considered an attractive candidate gene for the study of healthy and diseased brain function and behaviors. Over the past decade, many studies have tested BDNF genetic association, particularly its functional Val66Met polymorphism, with psychiatric diseases, personality disorders, and cognitive function. Although many reports indicated a possible role for BDNF genetic effects in mental problems or brain function, other reports were unable to replicate the findings. The conflicting results in BDNF genetic studies may result from confounding factors such as age, gender, other environmental factors, sample size, ethnicity and phenotype assessment. Future studies with more homogenous populations, well-controlled confounding factors, and well-defined phenotypes are needed to clarify the BDNF genetic effects on mental diseases and human behaviors.

Genetics of panic disorder: focus on association studies and therapeutic perspectives

There is evidence for either genetic heterogeneity or complex inheritance with an interaction of environmental factors and multiple single genes in the etiology of panic disorder. Although linkage analyses of panic disorder have implicated several chromosomal regions including 1q, 2q, 4q, 7p, 9q, 12q, 13q, 15q and 22q, they so far have not been able to identify a major gene responsible for panic disorder. Several genes of classical candidate neurotransmitter systems have been reported to be associated with panic disorder. Genetic variation in genes of monoamine oxidase A, catechol-O-methyltransferase, adenosine receptor (ADORA2A) and cholecystokinin B receptor have been inconsistently replicated. There are multiple lines of evidence for highly relevant effects of gender and ethnicity. Future research strategies might focus on broad phenotypes defined by comorbidity or intermediate phenotypes and include the use of animal models for identifying candidate genes, such as the regulator of G-protein signaling (RGS2) gene, genome-wide association studies in large samples, studies of gene-gene and gene-environment interactions and pharmacogenetic studies. The identification of novel pathophysiological pathways may provide the basis for the development of novel therapeutic interventions.