Effect of Brain Derived Neurotrophic Factor, In Relation to Diet and Lifestyle Factors, for Prevention of Neuropsychiatric and Vascular Diseases and Diabetes

Effects of virgin coconut oil consumption on serum brain-derived neurotrophic factor levels and oxidative stress biomarkers in adults with metabolic syndrome: a randomized clinical trial

BACKGROUND AND AIM

Metabolic syndrome is associated with health conditions and neurological disorders. Brain-derived neurotrophic factor (BDNF) plays a protective role on the nervous system. Decreased levels of BDNF have been shown in MetS and neurodegenerative diseases. There is promising evidence regarding the anti-inflammatory antioxidant, and neuroprotective properties of virgin coconut oil (VCO). The aim of this study was to evaluate the effects of VCO consumption on serum BDNF levels, oxidative stress status, and insulin resistance in adults with MetS.

METHODS

This randomized controlled clinical trial was conducted on 48 adults with MetS aged 20-50 years. The intervention group received 30 ml of VCO daily to substitute the same amounts of oil in their usual diet. The control group continued their usual diet. Serum BDNF levels, total antioxidant capacity (TAC), malondialdehyde (MDA) as well as HOMA-IR and QUICKI index were measured after four weeks of intervention.

RESULTS

VCO consumption significantly reduced serum levels of MDA (p = .01), fasting insulin (p < .01) and HOMA-IR index (p < .01) and increased serum TAC (p < .01) and QUICKI index (p = .01) compared to the control group. Serum BDNF levels increased significantly in VCO group compared to the baseline (p = .02); however, this change was not significant when compared to the control group (p = .07).

CONCLUSION

VCO consumption improved oxidative stress status and insulin resistance and had a promising effect on BDNF levels in adults with MetS. Further studies are needed to understand the long-term effects of VCO consumption.

Serum concentrations of BDNF in adolescents with metabolic syndrome: a case-control study between normal - BMI adolescents and adolescents with obesity

Brain-Derived Neurotrophic Factor (BDNF) has been linked to various conditions of the cardiovascular and nervous systems. Scarce data exist about the concentrations of BDNF in children and adolescents in relation with obesity and metabolic syndrome (MetS). The aim of this study was to examine the serum BDNF concentrations in adolescents with metabolic syndrome and according to their body mass index (BMI) status. This was a case-control study, assessing BDNF concentrations between adolescents with MetS (with obesity vs. normal-BMI), in relation to sex, anthropometric, metabolic and endocrine parameters. Participants included male and female adolescents, whose anthropometric and metabolic panel, as well as serum BDNF concentrations were measured. A total of 59 adolescents (obesity: 29; normal-BMI: 30) were included in the study. Increased serum BDNF concentrations were observed in MetS adolescents with obesity when compared with normal-BMI adolescents (p < 0.001). Males exhibited higher concentrations of BDNF than females (p = 0.045). The sample was further divided into four categories by sex and BMI status, with normal-BMI females exhibiting significantly lower BDNF concentrations than females and males with obesity(p = 0.005). In the entire study sample, serum BDNF concentrations correlated positively with BMI z-scores, however, this statistical significance was preserved only in the females of the sample. No statistical difference was observed between males of different BMI z-scores categories.  Conclusion: Obesity appeared as a major factor for increased serum BDNF concentrations in adolescents with MetS (vs. normal-BMI), with a higher impact on BDNF concentrations in females than males. What is Known: • The brain-derived neurotrophic factor (BDNF) is involved in metabolic syndrome in adults but data in adolescents are scarce. What is New: • Obesity (vs. normal BMI) was a major factor for increased serum BDNF in adolescents with metabolic syndrome. • Obesity had a higher impact on BDNF concentrations in females than males with metabolic syndrome.

Dietary insulin index and insulin load in relation to hypertriglyceridemic waist phenotype and low brain derived neurotrophic factor in adults

Background

The evidence about the relation of the insulinemic potential of food with visceral obesity and brain-derived neurotrophic factor (BDNF) was limited. We aimed to investigate the relation of dietary insulin index (DII) and dietary insulin load (DIL) with hypertriglyceridemic waist phenotype (HTGW) and serum BDNF in Iranian adults.

Methods

This cross-sectional study included 528 middle-aged adults (45.6% women), using a multistage cluster random-sampling method. Dietary intakes were assessed using a validated semi-quantitative 168-item food frequency questionnaire. Blood samples were collected after 12 h of fasting for assessing the serum BDNF and triglyceride concentrations. HTGW was defined as triacylglycerol ≥ 150 mg/dL plus enlarged waist circumference. The values less than the first decile of serum BDNF were considered as the low level.

Results

Individuals in the top tertile of DIL, in comparison to those in the bottom tertile, had higher odds of HTGW in both crude (OR = 1.96, 95% CI: 1.14–3.37) and fully adjusted model (OR = 6.10, 95% CI: 1.58–23.53). However, the relation between DII and odds of HTGW was statistically insignificant in crude (OR = 1.30, 95% CI: 0.78–2.16) and maximally adjusted model (OR = 1.25, 95% CI: 0.65–2.40). After considering confounders, participants in the top tertile of DIL had marginally higher odds of having low BDNF values (OR = 2.00, 95% CI: 0.95–4.21). Nevertheless, the association between DII and odds of low BDNF values was statistically insignificant.

Conclusion

This population-based study demonstrated that adults with higher DIL had significantly higher chance of HTGW phenotype and slightly higher chance for low BDNF level. DII was not associated with HTGW phenotype or BDNF values.

Effect of interaction between obesity-promoting genetic variants and behavioral factors on the risk of obese phenotypes

The studies investigating gene-gene and gene-environment (or gene-behavior) interactions provide valuable insight into the pathomechanisms underlying obese phenotypes. The Pakistani population due to its unique characteristics offers numerous advantages for conducting such studies. In this view, the current study was undertaken to examine the effects of gene-gene and gene-environment/behavior interactions on the risk of obesity in a sample of Pakistani population. A total of 578 adult participants including 290 overweight/obese cases and 288 normal-weight controls were involved. The five key obesity-associated genetic variants namely MC4R rs17782313, BDNF rs6265, FTO rs1421085, TMEM18 rs7561317, and NEGR1 rs2815752 were genotyped using the TaqMan allelic discrimination assays. The data related to behavioral factors, such as eating pattern, diet consciousness, the tendency toward fat-dense food (TFDF), sleep duration, sleep-wake cycle (SWC), shift work (SW), and physical activity levels were collected via a questionnaire. Gene-gene and gene-behavior interactions were analyzed by multifactor dimensionality reduction and linear regression, respectively. In our study, only TMEM18 rs7561317 was found to be significantly associated with anthropometric traits with no significant effect of gene-gene interactions were observed on obesity-related phenotypes. However, the genetic variants were found to interact with the behavioral factors to significantly influence various obesity-related anthropometric traits including BMI, waist circumference, hip circumference, waist-to-hip ratio, waist-to-height ratio, and percentage of body fat. In conclusion, the interaction between genetic architecture and behavior/environment determines the outcome of obesity-related anthropometric phenotypes. Thus, gene-environment/behavior interaction studies should be promoted to explore the risk of complex and multifactorial disorders, such as obesity.

Association between Obesity and Circulating Brain-Derived Neurotrophic Factor (BDNF) Levels: Systematic Review of Literature and Meta-Analysis

Reduction in brain-derived neurotrophic factor (BDNF) expression in the brain as well as mutations in BDNF gene and/or of its receptor are associated to obesity in both human and animal models. However, the association between circulating levels of BDNF and obesity is still not defined. To answer this question, we performed a meta-analysis carrying out a systematic search in electronic databases. Ten studies (307 obese patients and 236 controls) were included in the analysis. Our data show that obese patients have levels of BDNF similar to those of controls (SMD: 0.01, 95% CI: −0.28, 0.30, p = 0.94). The lack of difference was further confirmed both in studies in which BDNF levels were assessed in serum (MD: −0.93 ng/mL, 95% CI: −3.34, 1.48, p = 0.45) and in plasma (MD: 0.15 ng/mL, 95% CI: −0.09, 0.39, p = 0.23). Data evaluation has shown that some bias might affect BDNF measurements (e.g., subject recruitment, procedures of sampling, handling, and storage), leading to a difficult interpretation of the results. Standardization of the procedures is still needed to reach strong, affordable, and reliable conclusions.

Association of BDNF G196A Gene Polymorphism with Ischemic Stroke Occurrence and its 6-Month Outcome in an Iranian Population

BACKGROUND

Genetic factors like the allele for Brain-Derived Neurotrophic Factor (BDNF) are associated with the outcome of ischemic stroke most likely through affecting neural differentiation and synaptic plasticity. Studies of the association of BDNF G196A gene polymorphism and long-term ischemic stroke outcome in various populations have not been concordant.

OBJECTIVE

In this research, the association of BDNF G196A gene polymorphism and ischemic stroke occurrence were studied in a northern Iranian population with a glance to its 6-month outcome.

METHODS

The genetic variant of BDNF G196A was examined in Ischemic Stroke (IS) patients (n = 206) and control group (n = 200). In IS individuals, outcome variables such as stroke severity, functional disability, and cognitive impairment were examined, respectively, by NIHSS, Barthel Index, and MoCA in an average of 202 days after the stroke occurrence.

RESULTS

The frequency of risk allele G was 12.1% in IS patients and 5.5% in healthy individuals; and the difference was statistically significant (p < 0.0001). The frequency of risk genotype GG, heterozygote and homozygote were 0% and 1%, 24%.3% and 9%, 75.7% and 90%, respectively, for IS and control groups (p < 0.05). After controlling the phenotype confounding factors, logistic regression analysis showed that there was a borderline significant relationship between genotype BDNF GA + GG and IS occurrence (AOR = 1.997,95% CI: 0.252-1.010, p = 0.051). There was no significant difference between the various genotypic groups regarding the severity of the stroke and functional disability. Yet, G allele carriers had more cognitive impairment after IS (p = 0.002).

CONCLUSION

For the first time in an Iranian population, it was demonstrated that BDNF G196A variant plays a major role in stroke occurrence and consequences. It is suggested that, after IS, G allele carriers should have precedence for medicinal and rehabilitation interventions, in order to reduce their cognitive deficiency.