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. Author manuscript; available in PMC: 2014 Dec 1.
Published in final edited form as: Psychogeriatrics. 2013 Oct 28;13(4):10.1111/psyg.12013. doi: 10.1111/psyg.12013

Brain-Derived Neurotrophic Factor Val66Met Polymorphism and Cognitive Function in Persons with Cardiovascular Disease

Ashley J Szabo 1, Michael L Alosco 1, Lindsay A Miller 1, John E McGeary 2,3, Athena Poppas 4, Ronald A Cohen 2,5, John Gunstad 1
PMCID: PMC3847660  NIHMSID: NIHMS458425  PMID: 24289461

Abstract

Background

Cognitive impairment is common among persons with cardiovascular disease (CVD) and several potential etiological mechanisms have been described, including contributions of genetic markers such as variations in the brain-derived neurotrophic (BDNF) gene. The current study examined the associations of BDNF genotype with cognitive function among individuals with CVD.

Methods

110 participants with CVD completed a comprehensive neuropsychological battery that assessed global cognitive function, attention/executive function, memory, language, and visuospatial abilities. All participants also underwent blood draw to provide a DNA sample that was used to determine BDNF genotype. Carriers of either one or two copies of the MET allele of BDNF were categorized into one group (N = 33), while non-carriers were categorized into a second group (N = 77).

Results

After adjustment for demographic and medical characteristics, hierarchical regression analyses revealed persons with one or more Met alleles displayed better performance than Val/Val individuals for attention/executive function (β = .22, p = .047), memory (β = .25, p = .03) and a trend for language (β = .19, p = .08) and visuospatial abilities (β = .21, p = .06).

Conclusions

BDNF VAL66MET had little impact on cognitive functioning in a sample of older adults with CVD and significant findings were actually opposite of that predicted by past work. Future work is much needed to clarify the mechanisms for these findings, particularly studies examining both circulating BDNF levels and genetic variation in the BDNF gene and cognitive function over time.

Keywords: BDNF, cardiovascular disease, cognitive function, genetics, MET allele

1. Introduction

Cardiovascular disease (CVD) is the second leading cause of disability in older adults and is associated with reduced functional independence.1 An identified contributor to poor outcomes in this population is cognitive impairment.2 Indeed, CVD is an independent risk factor for significant neurological conditions including stroke, dementia, and Alzheimer’s disease.3 Preceding these conditions, CVD patients also display milder deficits across multiple cognitive domains, including attention, executive function, and memory.46

Several mechanisms for the relationship between CVD and cognitive impairment in non-demented populations have been described, including structural brain changes, reduced cerebral perfusion, and systemic inflammation.716 However, these mechanisms do not fully explain this relationship and new potential mechanisms need to be examined.

Recent work has identified genetic factors that may contribute to cognitive impairment in CVD, including the brain-derived neurotrophic factor (BDNF) gene, which has been implicated in neurological and medical conditions such as Alzheimer’s disease, schizophrenia, bipolar disorder, and type 2 diabetes.17 BDNF, located on chromosome 11p13 (NCBI), produces a small dimeric protein that is a nerve growth factor commonly found in the hippocampus.18 Egan and colleagues (2003)19 showed that the Val66Met substitution impacted activity-dependent serum levels of BDNF, such that the MET allele produces lower amounts of serum BDNF than the VAL allele. Furthermore, the MET allele creates a BDNF protein that is less effective than the VAL allele and thus cannot provide the level of neuronal support necessary.17,20 Carriers of the MET allele showed reduced secretion of BDNF over time and poorer cognitive functioning.20 Persons with one or two MET alleles also have reduced cognitive functioning on various tasks, including processing speed, delayed recall, general intelligence, episodic memory, digital working memory, spatial localization, and verbal recall.19,2123

Beyond these findings, there also appears to be possible sex differences in the effect of BDNF on cognitive function. Indeed, there is extant evidence demonstrating women to exhibit elevated levels of BDNF compared to men.24,25 This is noteworthy, as one study found that women but not men with higher BDNF plasma levels demonstrate deficits on neuropsychological tests of global cognitive function, memory, and language.25 Consistent with this pattern, past work has also found a significant association between the BDNF MET allele and Alzheimer’s disease risk for women, but not men.26

Based on the above findings, the investigation of the possible contribution of the BDNF gene to cognitive function in CVD is warranted. It was hypothesized that individuals with one or two MET alleles would have overall lower cognitive functioning than VAL/VAL individuals, particularly on tests of general cognition, memory, attention, and language. Exploratory analyses were also conducted to identify possible sex differences.

2. Methods

These study methods were approved by the appropriate Internal Review Boards and all participants provided written informed consent prior to participation.

2.1 Participants

110 participants were recruited from outpatient cardiology clinics. Individuals were eligible if they were between the ages of 55 and 85, were native English speakers, and had one or more of the following: myocardial infarction, cardiac surgery, heart failure, coronary artery disease, or hypertension. Prior to study entry, all patients were screened for neurological and psychiatric conditions that may influence cognitive function. Specifically, individuals were precluded from study entry if they had a history of neurological disorders, such as a stroke or Alzheimer’s disease, or major psychological disorders such as schizophrenia to minimize potential confounds.

Of these participants, 59.1% (N = 65) were male. The mean age of participants was 68.03 (SD = 7.55) and the mean years of education was 14.33 (SD=2.61). Participants were separated into two groups based on BDNF genotype: Val/Val homozygotes (N=77) and those with one or more Met alleles (Val/Met and Met/Met; N=33). See Table 1 for demographic and medical characteristics.

Table 1.

Demographic and Medical Characteristics of 110 Adults with Cardiovascular Disease by BDNF genotype

Demographic or Medical
Variable
Val/Val
(N=77)
Val/Met or Met/Met
(N=33)
Test
Statistic
p
Age, yrs. 69.42±7.32 68.12±8.10 −0.82 0.41
Education, yrs. 14.11±2.44 14.84±2.96 1.34 0.19
Female, % 42.9 36.4 0.40 0.53
High Blood Pressure, % 76.6 72.7 0.19 0.66
CABG, % 37.7 39.4 0.06 0.81
Heart Failure, % 19.5 15.2 0.31 0.58
Type II Diabetes, % 20.8 18.2 0.06 0.81
High Cholesterol, % 45.5 48.5 0.74 0.39
Heart Attack, % 45.5 48.5 0.14 0.71

Note. ‘Test Statistic’ includes Chi-square analyses for dichotomous various and t-tests for continuous variables.

2.2 Procedure

Participants underwent a blood draw to obtain a DNA sample that was used assess BDNF genotype and a comprehensive battery of neuropsychological tests. Medical and demographic characteristics were ascertained through self-report and medical record review.

2.3 Measures

2.3.1 Genotyping

Single nucleotide polymorphism (SNP) Genotyping

All SNP determinations were performed using the fluorogenic 5'nuclease (Taqman, Applied Biosystems, Foster City, CA) method using reagents (VIC(tm) and FAM(tm) labeled probes and TaqMan® Universal PCR Master Mix without AMPerase® UNG) obtained from Applied Biosystems (ABI). Unlabeled forward and reverse primers were purchased from ABI or Integrated DNA Technologies (Coralville, IA). All reactions were performed in an ABI Prism 7300 Sequence Detection System using both absolute quantification and allelic discrimination modes as described by Livak (1995).27 The assay ID number for rs6265 (BDNF) is C_11592758. Genotype distributions did not significantly vary from Hardy Weinberg equilibrium (Χ2 = 0.31, p = 0.58).

2.3.2 Neuropsychological Tests

All neuropsychological tests used in the current study demonstrate strong psychometric properties, including excellent reliability and validity. The domains and neuropsychological tests administered are as follows:

  • Global Cognitive Function: Mini-Mental Status Exam,28 Dementia Rating Scale29

  • Attention/executive function: Trail Making Test B,30 Digit Symbol Coding,31 Stroop Color-Word Test32,33

  • Memory: Complex Figure Test Immediate and Long Delay Recall34

  • Language: Boston Naming Test,35 Controlled Oral Word Association Test,36,37 Animal Naming38

  • Visuospatial: Hooper Visual Organization Test,39 Block Design,31 Complex Figure Test-Copy34

2.4 Statistical Analyses

Composite scores for global functioning, attention/executive function, memory, language, and visuospatial ability were created and consisted of the means of the raw scores within each cognitive domain. To maintain directionality for attention/executive function, scores for neuropsychological tests measured in units of time (i.e., Trail Making Test B) were multiplied by −1 so that lower scores reflect worse performance. Demographic variables and medical conditions were compared across Val66Met groups to identify possible confounds using t-tests or chi-square analyses. Results indicated no between group differences (see Table 1).

To examine the independent association between BDNF polymorphism (0 = ValVal homozygote; 1 = ValMet/MetMet) on cognitive function a series of multivariable hierarchical regression analyses was performed with composite scores for global functioning, attention/executive function, memory, language, and visuospatial ability as the dependent variables. To account for the known influence of demographic and medical factors on cognitive function, age, sex (1 = male; 2 = female), years of education, and diagnostic history of arrythmia, hypertension, and elevated total cholesterol were entered in block 1. Finally, the BDNF polymorphism was entered into the second block of each model to determine whether persons with one or more copy of the Met allele (ValMet or MetMet) performed worse on neuropsychological test performance than those with the ValVal homozygote. Finally, exploratory MANOVAs were then conducted to examine whether there are sex differences in BDNF and cognitive function in persons with CVD. In light of the exploratory nature of these analyses, they were not adjusted for demographic and medical factors.

3. Results

Neuropsychological Differences Between BDNF Groups

Table 2 displays raw neuropsychological test performance in the current sample. After controlling for age, sex, years of education, and history of cardiac arrythmia, hypertension, and elevated total cholesterol the BDNF genotype demonstrated significant associations with attention/executive function (β = .22, p = .047) and memory (β = .25, p = .03) and a trend for language (β = .19, p = .08) and visuospatial abilities (β = .21, p = .06). Contrary to expectations and past work, persons with one or more MET alleles performed better on measures assessing these domains than Val/Val individuals. No such pattern emerged for global functioning. Table 3 displays a full summary of hierarchical regression analyses, including the effect of demographic and medical characteristics on cognitive function.

Table 2.

Neuropsychological Test Performance

Raw Test Performance, mean (SD)
Global Function
MMSE 28.43(1.81)
Total DRS 137.01(4.97)
Attention/Executive Function
TMTB (seconds) 98.96(44.18)
Digit Symbol 56.04(13.36)
Stroop Color Word Test 30.58(8.65)
Memory
CFT Immediate 14.17(7.37)
CFT Delay 14.08(7.09)
Language
Boston Naming Test 54.53(4.51)
Animals 19.66(5.35)
COWA 39.28(3.44)
Visuospatial
Block Design 32.19(10.80)
HVOT 23.68(3.44)
CFT Copy 30.45(5.38)

MMSE = Mini Mental State Examination; DRS = Dementia Rating Scale; TMTB = Trail Making Test B; CFT = Complex Figure Test; COWA = Controlled Oral Word Association; HVOT = Hooper Visual Organization Test

Table 3.

The independent association of BDNF genotype on cognitive function in individuals with CVD (N = 110)

Global Attn/EF Memory Language Visuospatial
Variable β(SE b) β(SE b) β(SE b) β(SE b) β(SE b)
Block 1
Age −.19(.05) −.33(.25)* −.11(.11) −.21(.08) −.14(.08)
Sex .16(.69) .14(3.78) −.10(1.59) .12(1.27) −.11(1.18)
Education .30(.12)* .13(.66) .25(.28)* .35(.22)* .27(.21)
Arrythmia −.13(.84) −.01(4.63) .02(1.94) .14(1.56) −.12(1.45)
Hypertension .20(.77) −.01(4.23) −.02(1.78) .14(1.42) .03(1.32)
Cholesterol −.14(.69) −.04(3.80) .08(1.59) .03(1.28) .00(1.19)
R2 .22 .16 .10 .23 .11
F 3.16* 2.20 1.22 3.42* 1.45

Block 2
BDNF .18(.73) .22(4.01)* .25(1.68)* .19(1.36) .22(1.26)
R2 .25 .21 .15 .26 .16
F for ΔR2 2.71 4.10* 4.70* 3.26(p=.08) 3.55(p=.06)

Note.

*

p < .05;

Global = Global functioning; Atten/EF = Attention/Executive function; BDNF = Brain Derived Neurotrophic Factor (0 = ValVal homozygote; 1 = ValMet/MetMet)

Sex Differences in BDNF-related cognitive differences

To examine the possibility of gender effects in the current sample, MANOVA analyses were conducted separately for men and women to examine differences on neuropsychological test performance between ValVal persons and those with at least one copy of the Met allele (ValMet or MetMet). No group differences emerged for women for global functioning [λ = 0.10, F(2, 42) = 2.37, p = 0.11], attention/executive function [λ = 0.09, F(3, 41) = .96, p = 0.27], memory [λ = 0.08, F(2, 42) = 1.81, p = 0.18], language [λ = 0.43, F(3, 41) = 0.61, p = 0.61], or visuospatial ability [λ = 0.05, F(3, 41) = 0.69, p = 0.57].

There were also no between group differences for any of the cognitive domain for males: Global functioning, [λ = 0.03 [F(2, 62) = 0.86, p = 0.43], memory [λ = 0.88, F(2, 62) = 3.01, p = 0.06], attention/executive function [λ = 0.07, F(3, 61) = 1.56, p = 0.21], language [λ = 0.09, F(3, 61) = 2.07, p = 0.11], or visuospatial ability [λ = 0.04, F(3, 61) = 0.75, p = 0.52].

4. Discussion

When comparing CVD patients with and without the BDNF MET allele, significant group differences emerged for attention/executive function and memory. However, contrary to predictions and past studies, persons with at least one copy of the MET allele actually performed better on these measures. Our results also revealed that there were no sex differences for the effect of the MET allele on cognitive test performance. Several aspects of these findings warrant discussion.

Previous studies have shown that individuals with one or two MET alleles show reduced performance in multiple cognitive abilities, including episodic memory, processing speed, delayed recall, general intelligence, digital working memory, spatial localization, and verbal recall.19,2123 As no such pattern emerged in the current sample, it appears likely that the BDNF genotype does not produce the same effects in older adults with CVD as it does for others. There are several possible explanations for this finding. One possibility is that the MET allele interacts with the cognitive changes associated with either CVD or aging, as both CVD and normal aging are linked to deficits in memory and psychomotor speed and may thus obscure any possible influence of BDNF genotype.40 Consistent with this possibility, Miyajima and Colleagues (2008)23 observed that the Met allele was associated with only nominally poorer performance on tests of processing speed, delayed recall, and general intelligence in a sample of older adults.

Another potential explanation is that CVD impacts circulating levels of BDNF in some way, which is noteworthy given that BDNF is permeable to the blood brain barrier.41 Thus, the relationship between the genetic BDNF and circulating BDNF is less straightforward than typically believed. Circulating BDNF is associated with several risk factors related to CVD, such as body mass index and cholesterol in females, triglycerides in males, elevated plasma leptin, and diastolic blood pressure in both sexes.42,43 The causal relationship among these factors is unknown, as either BDNF or the cardiac variables may be driving this association. However, it is possible that CVD, or processes related to CVD, may alter the levels of circulating BDNF. If so, it would be very difficult to anticipate the association between BDNF genotype and cognitive function in persons with CVD without also direct quantification of circulating BDNF levels. Future studies should examine circulating BDNF, genetic variation in the BDNF gene, and cognitive functioning to disentangle this relationship, especially in samples of individuals with chronic medical diseases.

Exploratory analyses examined whether sex differences emerged in cognitive function in BDNF genotype groups. Past studies had shown that women have higher levels of circulating BDNF than men and that BDNF is a marker of impaired memory and general cognition in older women.24,25 In the current study, there were no group differences when the sample was restricted to only men or women. As above, this finding is contrary to past work, which typically shows the MET allele is associated with poorer cognitive function and such deficits have frequently been found in women but not men.19,2126 Clearly, much additional work in this area is needed.

The current study is limited in several ways and may not generalize to all samples. One potential limitation is the runequal sample sizes between those with and without a MET allele. However, as reported in Bath & Lee (2006),44 about 30% of the population of the United States is a carrier for the MET allele, and only 4% of the population has the MET/MET genotype. This is consistent with our study, where 28% of the 110 individuals in the study were carriers of the MET allele, and just 1.8% of the sample had the MET/MET genotype. However, this means that most of the MET group in our sample was comprised of heterozygotes, or persons with the VAL/MET genotype. This genotype may produce a smaller effect size on circulating BDNF and neurocognitive outcome, as MET/MET individuals may demonstrate more severe cognitive changes and have bigger effects. However, the relatively small sample does not appear to directly impact the current findings. Few effects were found in the current study and all were actually in the opposite of the predicted direction, with the MET group actually performing better than Val/Val participants. Such findings suggest that the effects of BDNF genotype differ in older persons with CVD, rather than inadequate statistical power. It is also important for future studies to examine the possible contribution of BDNF genotype in persons with more severe cognitive impairment, including mild cognitive impairment and dementia. Persons with the MET allele are known to be at higher risk for dementia45 and our exclusion of such persons may influence the current findings. Similarly, future studies with larger more diverse samples are needed to confirm our findings. Future studies would also benefit from the inclusion of brain imaging to clarify how BDNF might affect brain structure and function in this population. Previous research has examined schizophrenia and major depressive patients, and found that carriers of the Met allele typically have smaller hippocampal volume and reduced prefrontal cortexes.46,47 It would be beneficial to see if these effects may interact with aging process in both healthy and medically ill populations.

In conclusion, BDNF VAL66MET had little impact on cognitive functioning in a sample of older adults with CVD and significant findings were actually opposite of that predicted by past work. Based on these findings, it appears likely that CVD and/or cognitive aging moderates the relationship between BDNF and cognition. Future work is needed to clarify the mechanisms for these findings, particularly studies examining both circulating and the BDNF gene and cognitive function over time.

Acknowledgments

Indirect support for this work included National Institutes of Health (NIH) grants DK075119 and HLO89311 and grant 1S10RR023457-01A1 and Shared equipment grants (ShEEP) from the Medical Research Service of the Department of Veteran Affairs were used for genotyping (J. E. McGeary).

Footnotes

There are no conflicts of interest.

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